Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Published:

Residual cardiovascular risk in coronary artery disease: from pathophysiology to established and novel therapies

Abstract

Despite substantial advances in the secondary prevention of cardiovascular disease, atherosclerosis of the coronary arteries and its consequences remain the leading cause of death worldwide. Residual cardiovascular risk refers to the ongoing risk of recurrent cardiovascular events that persists in patients with coronary artery disease despite receiving optimal secondary prevention treatment and effective control of conventional risk factors. Lifestyle modification and therapies modulating thrombosis, blood pressure and LDL-cholesterol levels represent the standard approach for the prevention of recurrent cardiovascular events in patients with coronary artery disease. However, current evidence-based therapies and lifestyle modification strategies only partially modulate the pathophysiological pathways involved in the progression and destabilization of atherosclerotic disease, and other mechanisms might have an important role, accounting, at least in part, for the residual cardiovascular risk in these patients. In this Review, we appraise the available evidence and latest insights into the mechanisms and associated biomarkers of recurrent adverse cardiovascular events and provide perspectives on strategies to reduce residual cardiovascular risk in patients with coronary artery disease.

Key points

  • Despite adherence to secondary prevention measures, many patients with coronary artery disease continue to have residual cardiovascular risk and recurrent ischaemic events.

  • Contributors to residual cardiovascular risk, including thrombotic, lipid, metabolic and inflammatory pathways, as well as emerging factors, have a pivotal role beyond traditional determinants of cardiovascular risk.

  • New biomarkers and mechanistic insights can improve patient stratification and guide targeted therapies aimed at reducing recurrent events.

  • New therapeutic approaches, such as low-dose colchicine, PCSK9 inhibitors, antithrombotic therapies, GLP1 receptor agonists and SGLT2 inhibitors, offer new therapeutic avenues for reducing residual risk.

  • An in-depth understanding of the mechanisms and synergy of existing and novel therapies is key to tailoring treatment strategies and achieving a favourable risk–benefit profile.

  • Artificial intelligence will have a pivotal role in analysing complex datasets to enable precise stratification of patients and to identify optimal therapeutic targets.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Classification and markers of, and strategies to target, residual risk in patients with coronary artery disease.

Similar content being viewed by others

References

  1. Libby, P. et al. Atherosclerosis. Nat. Rev. Dis. Primers 5, 56 (2019).

    Article  PubMed  Google Scholar 

  2. Viles-Gonzalez, J. F., Fuster, V. & Badimon, J. J. Atherothrombosis: a widespread disease with unpredictable and life-threatening consequences. Eur. Heart J. 25, 1197–1207 (2004).

    Article  CAS  PubMed  Google Scholar 

  3. Libby, P. Pathogenesis of atherothrombotic events: from lumen to lesion and beyond. Circulation 150, 1217–1219 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  4. Naghavi, M. et al. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 403, 2100–2132 (2024).

    Article  Google Scholar 

  5. Peters, S. A. E. et al. Trends in recurrent coronary heart disease after myocardial infarction among US women and men between 2008 and 2017. Circulation 143, 650–660 (2021).

    Article  PubMed  Google Scholar 

  6. Angiolillo, D. J., Galli, M., Collet, J. P., Kastrati, A. & O’Donoghue, M. L. Antiplatelet therapy after percutaneous coronary intervention. EuroIntervention 17, e1371–e1396 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Magnussen, C. et al. Global effect of modifiable risk factors on cardiovascular disease and mortality. N. Engl. J. Med. 389, 1273–1285 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Song, J. et al. Incidence, predictors, and prognostic impact of recurrent acute myocardial infarction in China. Heart 107, 313–318 (2021).

    Article  Google Scholar 

  9. Kaasenbrood, L. et al. Distribution of estimated 10-year risk of recurrent vascular events and residual risk in a secondary prevention population. Circulation 134, 1419–1429 (2016).

    Article  PubMed  Google Scholar 

  10. Patel, K. V., Pandey, A. & de Lemos, J. A. Conceptual framework for addressing residual atherosclerotic cardiovascular disease risk in the era of precision medicine. Circulation 137, 2551–2553 (2018).

    Article  PubMed  Google Scholar 

  11. Libby, P. Inflammation during the life cycle of the atherosclerotic plaque. Cardiovasc. Res. 117, 2525–2536 (2021).

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Furie, B. & Furie, B. C. Mechanisms of thrombus formation. N. Engl. J. Med. 359, 938–949 (2008).

    Article  CAS  PubMed  Google Scholar 

  13. Kikkert, W. J. et al. D-dimer levels predict ischemic and hemorrhagic outcomes after acute myocardial infarction: a HORIZONS-AMI biomarker substudy. J. Thromb. Thrombolysis 37, 155–164 (2014).

    Article  CAS  PubMed  Google Scholar 

  14. Akgul, O. et al. Predictive value of elevated D-dimer in patients undergoing primary angioplasty for ST elevation myocardial infarction. Blood Coagul. Fibrinolysis 24, 704–710 (2013).

    Article  CAS  PubMed  Google Scholar 

  15. Biccirè, F. G. et al. D-Dimer for risk stratification and antithrombotic treatment management in acute coronary syndrome patients: a systematic review and metanalysis. Thromb. J. 19, 102 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  16. Zhou, Q. et al. Predictive values of D-dimer for the long-term prognosis of acute ST-segment elevation infarction: a retrospective study in southwestern China. Medicine 99, e19724 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Luo, E. et al. The value of D-dimer level in predicting contrast-induced acute kidney injury in patients with acute ST-segment elevation myocardial infarction after PCI. Clin. Appl. Thromb. Hemost. 26, 1076029620944492 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Hansen, C. H. et al. Markers of thrombin generation are associated with long-term clinical outcome in patients with ST-segment elevation myocardial infarction. Clin. Appl. Thromb. Hemost. 24, 1088–1094 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Erkol, A. et al. The value of plasma D-dimer level on admission in predicting no-reflow after primary percutaneous coronary intervention and long-term prognosis in patients with acute ST segment elevation myocardial infarction. J. Thromb. Thrombolysis 38, 339–347 (2014).

    Article  CAS  PubMed  Google Scholar 

  20. Chen, R. et al. Prognostic value of age-adjusted D-dimer cutoff thresholds in patients with acute coronary syndrome treated by percutaneous coronary intervention. Clin. Interv. Aging 17, 117–128 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  21. Zhao, X. et al. D-Dimer as a thrombus biomarker for predicting 2-year mortality after percutaneous coronary intervention. Ther. Adv. Chronic Dis. 11, 2040622320904302 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Moss, A. J. et al. Thrombogenic factors and recurrent coronary events. Circulation 99, 2517–2522 (1999).

    Article  CAS  PubMed  Google Scholar 

  23. DeFilippis, A. P. et al. Atherothrombotic factors and atherosclerotic cardiovascular events: the multi-ethnic study of atherosclerosis. Eur. Heart J. 43, 971–981 (2021).

    Article  PubMed Central  Google Scholar 

  24. Thompson, S. G., Kienast, J., Pyke, S. D., Haverkate, F. & van de Loo, J. C. Hemostatic factors and the risk of myocardial infarction or sudden death in patients with angina pectoris. European Concerted Action on Thrombosis and Disabilities Angina Pectoris Study Group. N. Engl. J. Med. 332, 635–641 (1995).

    Article  CAS  PubMed  Google Scholar 

  25. Lindahl, B., Toss, H., Siegbahn, A., Venge, P. & Wallentin, L. Markers of myocardial damage and inflammation in relation to long-term mortality in unstable coronary artery disease. FRISC Study Group. Fragmin during Instability in Coronary Artery Disease. N. Engl. J. Med. 343, 1139–1147 (2000).

    Article  CAS  PubMed  Google Scholar 

  26. Koukkunen, H. et al. C-Reactive protein, fibrinogen, interleukin-6 and tumour necrosis factor-α in the prognostic classification of unstable angina pectoris. Ann. Med. 33, 37–47 (2001).

    Article  CAS  PubMed  Google Scholar 

  27. Retterstol, L. et al. Plasma fibrinogen level and long-term prognosis in Norwegian middle-aged patients with previous myocardial infarction. A 10 year follow-up study. J. Intern. Med. 249, 511–518 (2001).

    Article  CAS  PubMed  Google Scholar 

  28. Sinning, J. M. et al. Impact of C-reactive protein and fibrinogen on cardiovascular prognosis in patients with stable angina pectoris: the AtheroGene study. Eur. Heart J. 27, 2962–2968 (2006).

    Article  CAS  PubMed  Google Scholar 

  29. Peng, Y. et al. Fibrinogen is related to long-term mortality in Chinese patients with acute coronary syndrome but failed to enhance the prognostic value of the GRACE score. Oncotarget 8, 20622–20629 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  30. Shlipak, M. G., Ix, J. H., Bibbins-Domingo, K., Lin, F. & Whooley, M. A. Biomarkers to predict recurrent cardiovascular disease: the Heart and Soul Study. Am. J. Med. 121, 50–57 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. van Loon, J. E., de Maat, M. P., Deckers, J. W., van Domburg, R. T. & Leebeek, F. W. Prognostic markers in young patients with premature coronary heart disease. Atherosclerosis 224, 213–217 (2012).

    Article  PubMed  Google Scholar 

  32. Ang, L. et al. Elevated baseline serum fibrinogen: effect on 2-year major adverse cardiovascular events following percutaneous coronary intervention. J. Am. Heart Assoc. https://doi.org/10.1161/jaha.117.006580 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  33. Zhang, L. et al. Baseline plasma fibrinogen is associated with haemoglobin A1c and 2-year major adverse cardiovascular events following percutaneous coronary intervention in patients with acute coronary syndrome: a single-centre, prospective cohort study. Cardiovasc. Diabetol. 18, 52 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  34. Liu, S. L. et al. Fibrinogen is associated with glucose metabolism and cardiovascular outcomes in patients with coronary artery disease. Cardiovasc. Diabetol. 19, 36 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  35. Wiman, B. et al. Plasma levels of tissue plasminogen activator/plasminogen activator inhibitor-1 complex and von Willebrand factor are significant risk markers for recurrent myocardial infarction in the Stockholm Heart Epidemiology Program (SHEEP) study. Arterioscler. Thrombos. Vasc. Biol. 20, 2019–2023 (2000).

    Article  CAS  Google Scholar 

  36. Vrints, C. et al. 2024 ESC guidelines for the management of chronic coronary syndromes: developed by the Task Force for the Management of Chronic Coronary Syndromes of the European Society of Cardiology (ESC) endorsed by the European Association for Cardio-Thoracic Surgery (EACTS). Eur. Heart J. 45, 3415–3537 (2024).

    Article  CAS  PubMed  Google Scholar 

  37. Morange, P. E. et al. Prognostic value of plasma tissue factor and tissue factor pathway inhibitor for cardiovascular death in patients with coronary artery disease: the AtheroGene study. J. Thrombos. Haemost. 5, 475–482 (2007).

    Article  CAS  Google Scholar 

  38. Soejima, H. et al. Heightened tissue factor associated with tissue factor pathway inhibitor and prognosis in patients with unstable angina. Circulation 99, 2908–2913 (1999).

    Article  CAS  PubMed  Google Scholar 

  39. Seljeflot, I., Hurlen, M., Hole, T. & Arnesen, H. Soluble tissue factor as predictor of future events in patients with acute myocardial infarction. Thrombos. Res. 111, 369–372 (2003).

    Article  CAS  Google Scholar 

  40. Steppich, B. A. et al. Plasma TF activity predicts cardiovascular mortality in patients with acute myocardial infarction. Thrombos. J. 7, 11 (2009).

    Article  Google Scholar 

  41. Brambilla, M. et al. Tissue factor in patients with acute coronary syndromes. Arterioscler. Thrombos. Vasc. Biol. 28, 947–953 (2008).

    Article  CAS  Google Scholar 

  42. Brambilla, M. et al. Cell surface platelet tissue factor expression: regulation by P2Y12 and link to residual platelet reactivity. Arterioscler. Thrombos. Vasc. Biol. 43, 2042–2057 (2023).

    Article  CAS  Google Scholar 

  43. Camera, M. et al. The role of tissue factor in atherothrombosis and coronary artery disease: insights into platelet tissue factor. Semin. Thromb. Hemost. 41, 737–746 (2015).

    Article  CAS  PubMed  Google Scholar 

  44. Camera, M. et al. Tissue factor, a membrane-associated marker of platelet activation, predicts 5-year cardiovascular mortality in coronary artery disease patients. Thromb. Haemost. https://doi.org/10.1055/a-2771-2148 (2025).

  45. Ardissino, D. et al. Coagulation activation and long-term outcome in acute coronary syndromes. Blood 102, 2731–2735 (2003).

    Article  CAS  PubMed  Google Scholar 

  46. Li, Y. H. et al. Prognostic significance of elevated hemostatic markers in patients with acute myocardial infarction. J. Am. Coll. Cardiol. 33, 1543–1548 (1999).

    Article  CAS  PubMed  Google Scholar 

  47. Attanasio, M. et al. Residual thrombin potential predicts cardiovascular death in acute coronary syndrome patients undergoing percutaneous coronary intervention. Thromb. Res. 147, 52–57 (2016).

    Article  CAS  PubMed  Google Scholar 

  48. Loeffen, R. et al. Factor XIa and thrombin generation are elevated in patients with acute coronary syndrome and predict recurrent cardiovascular events. PLoS ONE 11, e0158355 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  49. van Paridon, P. C. S. et al. Thrombin generation in cardiovascular disease and mortality — results from the Gutenberg Health Study. Haematologica 105, 2327–2334 (2020).

    Article  PubMed  Google Scholar 

  50. Merlini, P. A. et al. Persistent activation of coagulation mechanism in unstable angina and myocardial infarction. Circulation 90, 61–68 (1994).

    Article  CAS  PubMed  Google Scholar 

  51. Lyngbæk, S. et al. Soluble urokinase plasminogen activator receptor for risk prediction in patients admitted with acute chest pain. Clin. Chem. 59, 1621–1629 (2013).

    Article  PubMed  Google Scholar 

  52. Lyngbæk, S. et al. Usefulness of soluble urokinase plasminogen activator receptor to predict repeat myocardial infarction and mortality in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous intervention. Am. J. Cardiol. 110, 1756–1763 (2012).

    Article  PubMed  Google Scholar 

  53. Li, Y. et al. Prognostic value of soluble urokinase-type plasminogen activator receptor in coronary artery disease: a meta-analysis. Eur. J. Clin. Invest. 52, e13867 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  54. Sommerer, C. et al. Soluble urokinase plasminogen activation receptor and long-term outcomes in persons undergoing coronary angiography. Sci. Rep. 9, 475 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  55. Hodges, G. et al. SuPAR is associated with death and adverse cardiovascular outcomes in patients with suspected coronary artery disease. Scand. Cardiovasc. J. 54, 339–345 (2020).

    Article  CAS  PubMed  Google Scholar 

  56. Al-Badri, A. et al. Soluble urokinase-type plasminogen activator receptor and high-sensitivity troponin levels predict outcomes in nonobstructive coronary artery disease. J. Am. Heart Assoc. 9, e015515 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Sandø, A. et al. Soluble urokinase receptor as a predictor of non-cardiac mortality in patients with percutaneous coronary intervention treated ST-segment elevation myocardial infarction. Clin. Biochem. 80, 8–13 (2020).

    Article  PubMed  Google Scholar 

  58. Peiró, Ó et al. Soluble urokinase plasminogen activator receptor as a long-term prognostic biomarker in acute coronary syndromes. Biomarkers 25, 402–409 (2020).

    Article  PubMed  Google Scholar 

  59. Mehta, A. et al. Sex differences in circulating soluble urokinase-type plasminogen activator receptor (suPAR) levels and adverse outcomes in coronary artery disease. J. Am. Heart Assoc. 9, e015457 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Sörensen, N. A. et al. Predictive value of soluble urokinase-type plasminogen activator receptor for mortality in patients with suspected myocardial infarction. Clin. Res. Cardiol. 108, 1386–1393 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  61. Eapen, D. J. et al. Soluble urokinase plasminogen activator receptor level is an independent predictor of the presence and severity of coronary artery disease and of future adverse events. J. Am. Heart Assoc. 3, e001118 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  62. Wlazeł, R. N. et al. Soluble urokinase plasminogen activator receptor in one-year prediction of major adverse cardiac events in patients after first myocardial infarction treated with primary percutaneous coronary intervention. Arch. Med. Sci. 15, 72–77 (2019).

    Article  PubMed  Google Scholar 

  63. Nikorowitsch, J. et al. Cardio-renal biomarker soluble urokinase-type plasminogen activator receptor is associated with cardiovascular death and myocardial infarction in patients with coronary artery disease independent of troponin, C-reactive protein, and renal function. J. Am. Heart Assoc. 9, e015452 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Kosaki, R. et al. Thrombomodulin can predict the incidence of second events in patients with acute coronary syndrome: single-center, retrospective cohort study. J. Cardiol. 72, 494–500 (2018).

    Article  PubMed  Google Scholar 

  65. Chan, S. H., Chen, J. H., Li, Y. H., Lin, L. J. & Tsai, L. M. Increasing post-event plasma thrombomodulin level associates with worse outcome in survival of acute coronary syndrome. Int. J. Cardiol. 111, 280–285 (2006).

    Article  PubMed  Google Scholar 

  66. Gorog, D. A. Prognostic value of plasma fibrinolysis activation markers in cardiovascular disease. J. Am. Coll. Cardiol. 55, 2701–2709 (2010).

    Article  CAS  PubMed  Google Scholar 

  67. Gorog, D. A. & Lip, G. Y. H. Impaired spontaneous/endogenous fibrinolytic status as new cardiovascular risk factor? J. Am. Coll. Cardiol. 74, 1366–1375 (2019).

    Article  CAS  PubMed  Google Scholar 

  68. Katsaros, K. M. et al. Plasminogen activator inhibitor-1 predicts coronary in-stent restenosis of drug-eluting stents. J. Thromb. Haemost. 6, 508–513 (2008).

    Article  CAS  PubMed  Google Scholar 

  69. Christ, G. et al. Predictive value of plasma plasminogen activator inhibitor-1 for coronary restenosis: dependence on stent implantation and antithrombotic medication. J. Thromb. Haemost. 3, 233–239 (2005).

    Article  CAS  PubMed  Google Scholar 

  70. Feng, Y. -f et al. Plasma tissue plasminogen activator-inhibitor complex levels in acute myocardial infarction patients: an observational study. BMC Cardiovasc. Disord. 24, 722 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  71. Hamsten, A. et al. Plasminogen activator inhibitor in plasma: risk factor for recurrent myocardial infarction. Lancet 2, 3–9 (1987).

    Article  CAS  PubMed  Google Scholar 

  72. Pavlov, M. et al. Plasminogen activator inhibitor-1 activity and long-term outcome in patients with ST-elevation myocardial infarction treated with primary percutaneous coronary intervention: a prospective cohort study. Croat. Med. J. 59, 108–117 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  73. Akkus, M. N. et al. Admission levels of C-reactive protein and plasminogen activator inhibitor-1 in patients with acute myocardial infarction with and without cardiogenic shock or heart failure on admission. Int. Heart J. 50, 33–45 (2009).

    Article  CAS  PubMed  Google Scholar 

  74. Takazoe, K. et al. Increased plasminogen activator inhibitor activity and diabetes predict subsequent coronary events in patients with angina pectoris. Ann. Med. 33, 206–212 (2001).

    Article  CAS  PubMed  Google Scholar 

  75. Jung, R. G. et al. Plasminogen activator inhibitor-1-positive platelet-derived extracellular vesicles predicts MACE and the proinflammatory SMC phenotype. JACC Basic Transl. Sci. 7, 985–997 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  76. Soeki, T. et al. Plasma concentrations of fibrinolytic factors in the subacute phase of myocardial infarction predict recurrent myocardial infarction or sudden cardiac death. Int. J. Cardiol. 85, 277–283 (2002).

    Article  PubMed  Google Scholar 

  77. Kinlay, S. et al. Endogenous tissue plasminogen activator and risk of recurrent cardiac events after an acute coronary syndrome in the MIRACL study. Atherosclerosis 206, 551–555 (2009).

    Article  CAS  PubMed  Google Scholar 

  78. Jansson, J. H., Nilsson, T. K. & Olofsson, B. O. Tissue plasminogen activator and other risk factors as predictors of cardiovascular events in patients with severe angina pectoris. Eur. Heart J. 12, 157–161 (1991).

    Article  CAS  PubMed  Google Scholar 

  79. Smith, F. B. et al. Tissue plasminogen activator and leucocyte elastase as predictors of cardiovascular events in subjects with angina pectoris: Edinburgh Artery Study. Eur. Heart J. 21, 1607–1613 (2000).

    Article  CAS  PubMed  Google Scholar 

  80. Feng, Z. et al. Association of lipoprotein(a) with long-term mortality following coronary angiography or percutaneous coronary intervention. Clin. Cardiol. 40, 674–678 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  81. Redondo, M. et al. Hemostatic and fibrinolytic parameters in survivors of myocardial infarction: a low plasma level of plasmin-α2-antiplasmin complex is an independent predictor of coronary re-events. Blood Coagul. Fibrinolysis 12, 17–24 (2001).

    Article  CAS  PubMed  Google Scholar 

  82. Sumaya, W. et al. Fibrin clot properties independently predict adverse clinical outcome following acute coronary syndrome: a PLATO substudy. Eur. Heart J. 39, 1078–1085 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  83. Saraf, S., Christopoulos, C., Salha, I. B., Stott, D. J. & Gorog, D. A. Impaired endogenous thrombolysis in acute coronary syndrome patients predicts cardiovascular death and nonfatal myocardial infarction. J. Am. Coll. Cardiol. 55, 2107–2115 (2010).

    Article  PubMed  Google Scholar 

  84. Christopoulos, C., Farag, M., Sullivan, K., Wellsted, D. & Gorog, D. A. Impaired thrombolytic status predicts adverse cardiac events in patients undergoing primary percutaneous coronary intervention. Thromb. Haemost. 117, 457–470 (2017).

    Article  PubMed  Google Scholar 

  85. Kreutz, R. P. et al. Fibrin clot strength measured by thrombelastography and outcomes after percutaneous coronary intervention. Thromb. Haemost. 117, 426–428 (2017).

    Article  PubMed  Google Scholar 

  86. Lee, S. H. et al. Prognostic impact of hypercoagulability and impaired fibrinolysis in acute myocardial infarction. Eur. Heart J. 44, 1718–1728 (2023).

    Article  CAS  PubMed  Google Scholar 

  87. Farag, M. et al. Impaired endogenous fibrinolysis in ST-segment elevation myocardial infarction patients undergoing primary percutaneous coronary intervention is a predictor of recurrent cardiovascular events: the RISK PPCI study. Eur. Heart J. 40, 295–305 (2018).

    Article  Google Scholar 

  88. Gurbel, P. A. et al. Platelet reactivity in patients and recurrent events post-stenting: results of the prepare post-stenting study. J. Am. Coll. Cardiol. 46, 1820–1826 (2005).

    Article  CAS  PubMed  Google Scholar 

  89. Gurbel, P. A. et al. The link between heightened thrombogenicity and inflammation: pre-procedure characterization of the patient at high risk for recurrent events after stenting. Platelets 20, 97–104 (2009).

    Article  CAS  PubMed  Google Scholar 

  90. Jeong, Y. H., Bliden, K. P., Shuldiner, A. R., Tantry, U. S. & Gurbel, P. A. Thrombin-induced platelet-fibrin clot strength: relation to high on-clopidogrel platelet reactivity, genotype, and post-percutaneous coronary intervention outcomes. Thromb. Haemost. 111, 713–724 (2014).

    Article  CAS  PubMed  Google Scholar 

  91. Gurbel, P. A. et al. Adenosine diphosphate-induced platelet-fibrin clot strength: a new thrombelastographic indicator of long-term poststenting ischemic events. Am. Heart J. 160, 346–354 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  92. Kwon, O. et al. Platelet-fibrin clot strength and platelet reactivity predicting cardiovascular events after percutaneous coronary interventions. Eur. Heart J. 45, 2217–2231 (2024).

    Article  CAS  PubMed  Google Scholar 

  93. Leander, K., Blombäck, M., Wallén, H. & He, S. Impaired fibrinolytic capacity and increased fibrin formation associate with myocardial infarction. Thromb. Haemost. 107, 1092–1099 (2012).

    Article  CAS  PubMed  Google Scholar 

  94. Liberale, L. et al. JCAD promotes arterial thrombosis through PI3K/Akt modulation: a translational study. Eur. Heart J. 44, 1818–1833 (2023).

    Article  CAS  PubMed  Google Scholar 

  95. Galli, M., Franchi, F., Rollini, F. & Angiolillo, D. J. Role of platelet function and genetic testing in patients undergoing percutaneous coronary intervention. Trends Cardiovasc. Med. 33, 133–138 (2023).

    Article  PubMed  Google Scholar 

  96. Angiolillo, D. J. et al. International consensus statement on platelet function and genetic testing in percutaneous coronary intervention: 2024 update. JACC Cardiovasc. Interv. 17, 2639–2663 (2024).

    Article  PubMed  Google Scholar 

  97. Price, M. J. et al. Prognostic significance of post-clopidogrel platelet reactivity assessed by a point-of-care assay on thrombotic events after drug-eluting stent implantation. Eur. Heart J. 29, 992–1000 (2008).

    Article  PubMed  Google Scholar 

  98. Parodi, G. et al. High residual platelet reactivity after clopidogrel loading and long-term cardiovascular events among patients with acute coronary syndromes undergoing PCI. JAMA 306, 1215–1223 (2011).

    Article  CAS  PubMed  Google Scholar 

  99. Aradi, D. et al. Bleeding and stent thrombosis on P2Y12-inhibitors: collaborative analysis on the role of platelet reactivity for risk stratification after percutaneous coronary intervention. Eur. Heart J. 36, 1762–1771 (2015).

    Article  CAS  PubMed  Google Scholar 

  100. Stone, G. W. et al. Platelet reactivity and clinical outcomes after coronary artery implantation of drug-eluting stents (ADAPT-DES): a prospective multicentre registry study. Lancet 382, 614–623 (2013).

    Article  PubMed  Google Scholar 

  101. Gurbel, P. A. et al. Clopidogrel effect on platelet reactivity in patients with stent thrombosis: results of the CREST Study. J. Am. Coll. Cardiol. 46, 1827–1832 (2005).

    Article  CAS  PubMed  Google Scholar 

  102. Sibbing, D. et al. Platelet reactivity after clopidogrel treatment assessed with point-of-care analysis and early drug-eluting stent thrombosis. J. Am. Coll. Cardiol. 53, 849–856 (2009).

    Article  CAS  PubMed  Google Scholar 

  103. Jeong, Y. H. et al. Pharmacodynamic profile and prevalence of bleeding episode in East Asian patients with acute coronary syndromes treated with prasugrel standard-dose versus de-escalation strategy: a randomized A-MATCH trial. Thromb. Haemost. 121, 1376–1386 (2021).

    Article  PubMed  Google Scholar 

  104. Szczeklik, W. et al. Urinary 11-dehydro-thromboxane B2 as a predictor of acute myocardial infarction outcomes: results of Leukotrienes and Thromboxane in Myocardial Infarction (LTIMI) study. J. Am. Heart Assoc. https://doi.org/10.1161/jaha.116.003702 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  105. Eikelboom, J. W. et al. Aspirin-resistant thromboxane biosynthesis and the risk of myocardial infarction, stroke, or cardiovascular death in patients at high risk for cardiovascular events. Circulation 105, 1650–1655 (2002).

    Article  CAS  PubMed  Google Scholar 

  106. Bongiovanni, D. et al. Role of reticulated platelets in cardiovascular disease. Arterioscler. Thromb. Vasc. Biol. 42, 527–539 (2022).

    Article  CAS  PubMed  Google Scholar 

  107. Cesari, F. et al. Reticulated platelets predict cardiovascular death in acute coronary syndrome patients. Insights from the AMI-Florence 2 Study. Thromb. Haemost. 109, 846–853 (2013).

    Article  CAS  PubMed  Google Scholar 

  108. Bongiovanni, D. et al. Immature platelet fraction predicts adverse events in patients with acute coronary syndrome: the ISAR-REACT 5 reticulated platelet substudy. Arterioscler. Thromb. Vasc. Biol. 43, e83–e93 (2023).

    Article  CAS  PubMed  Google Scholar 

  109. Freynhofer, M. K. et al. Platelet turnover predicts outcome after coronary intervention. Thromb. Haemost. 117, 923–933 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  110. Tscharre, M. et al. Impact of platelet turnover on long-term adverse cardiovascular outcomes in patients undergoing percutaneous coronary intervention. Eur. J. Clin. Invest. 49, e13157 (2019).

    Article  PubMed  Google Scholar 

  111. Ibrahim, H. et al. Association of immature platelets with adverse cardiovascular outcomes. J. Am. Coll. Cardiol. 64, 2122–2129 (2014).

    Article  PubMed  Google Scholar 

  112. Perl, L., Matatov, Y., Koronowski, R., Lev, E. I. & Solodky, A. Prognostic significance of reticulated platelet levels in diabetic patients with stable coronary artery disease. Platelets 31, 1012–1018 (2020).

    Article  CAS  PubMed  Google Scholar 

  113. Puhm, F., Boilard, E. & Machlus, K. R. Platelet extracellular vesicles: beyond the blood. Arterioscler. Thromb. Vasc. Biol. 41, 87–96 (2021).

    Article  CAS  PubMed  Google Scholar 

  114. Lugo-Gavidia, L. M. et al. Role of microparticles in cardiovascular disease: implications for endothelial dysfunction, thrombosis, and inflammation. Hypertension 77, 1825–1844 (2021).

    Article  CAS  PubMed  Google Scholar 

  115. Giannopoulos, G. et al. Red blood cell and platelet microparticles in myocardial infarction patients treated with primary angioplasty. Int. J. Cardiol. 176, 145–150 (2014).

    Article  PubMed  Google Scholar 

  116. Morel, O. et al. Circulating procoagulant microparticles and soluble GPV in myocardial infarction treated by primary percutaneous transluminal coronary angioplasty. A possible role for GPIIb-IIIa antagonists. J. Thromb. Haemost. 2, 1118–1126 (2004).

    Article  CAS  PubMed  Google Scholar 

  117. Hartopo, A. B., Mayasari, D. S., Puspitawati, I. & Mumpuni, H. Circulating platelet-derived microparticles associated with postdischarge major adverse cardiac events in ST-elevation acute myocardial infarction. Cardiol. Res. Pract. 2020, 6721584 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  118. Christersson, C., Thulin, Å & Siegbahn, A. Microparticles during long-term follow-up after acute myocardial infarction. Association to atherosclerotic burden and risk of cardiovascular events. Thromb. Haemost. 117, 1571–1581 (2017).

    Article  PubMed  Google Scholar 

  119. Pamukcu, B., Lip, G. Y., Snezhitskiy, V. & Shantsila, E. The CD40-CD40L system in cardiovascular disease. Ann. Med. 43, 331–340 (2011).

    Article  CAS  PubMed  Google Scholar 

  120. Pusuroglu, H. et al. Predictive value of elevated soluble CD40 ligand in patients undergoing primary angioplasty for ST-segment elevation myocardial infarction. Coron. Artery Dis. 25, 558–564 (2014).

    Article  PubMed  Google Scholar 

  121. Nofal, R. et al. Investigating soluble CD40 ligand as a prognostic factor among acute coronary syndromes patients: a multi-center prospective case-control study. Medicine 103, e39891 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  122. Napoleão, P. et al. Stratification of ST-elevation myocardial infarction patients based on soluble CD40L longitudinal changes. Transl. Res. 176, 95–104 (2016).

    Article  PubMed  Google Scholar 

  123. Heeschen, C. et al. Soluble CD40 ligand in acute coronary syndromes. N. Engl. J. Med. 348, 1104–1111 (2003).

    Article  CAS  PubMed  Google Scholar 

  124. Arman, M. & Krauel, K. Human platelet IgG Fc receptor FcγRIIA in immunity and thrombosis. J. Thrombos. Haemost. 13, 893–908 (2015).

    Article  CAS  Google Scholar 

  125. Schneider, D. J. et al. FcγRIIa: a new cardiovascular risk marker. J. Am. Coll. Cardiol. 72, 237–238 (2018).

    Article  PubMed  Google Scholar 

  126. Schneider, D. J. et al. Platelet FcγRIIa as a marker of cardiovascular risk after myocardial infarction. J. Am. Coll. Cardiol. 84, 1721–1729 (2024).

    Article  CAS  PubMed  Google Scholar 

  127. Merten, M. & Thiagarajan, P. P-Selectin in arterial thrombosis. Z. Kardiol. 93, 855–863 (2004).

    Article  CAS  PubMed  Google Scholar 

  128. Berg, D. D. et al. Biomarkers of platelet activation and cardiovascular risk in the DAPT trial. J. Thromb. Thrombolysis 51, 675–681 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  129. Thomas, M. R. et al. A platelet P-selectin test predicts adverse cardiovascular events in patients with acute coronary syndromes treated with aspirin and clopidogrel. Platelets 25, 612–618 (2014).

    Article  CAS  PubMed  Google Scholar 

  130. Blann, A. D., Faragher, E. B. & McCollum, C. N. Increased soluble P-selectin following myocardial infarction: a new marker for the progression of atherosclerosis. Blood Coagul. Fibrinolysis 8, 383–390 (1997).

    Article  CAS  PubMed  Google Scholar 

  131. Mauri, L. et al. Twelve or 30 months of dual antiplatelet therapy after drug-eluting stents. N. Engl. J. Med. 371, 2155–2166 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  132. Bonaca, M. P. et al. Long-term use of ticagrelor in patients with prior myocardial infarction. N. Engl. J. Med. 372, 1791–1800 (2015).

    Article  PubMed  Google Scholar 

  133. Navarese, E. P. et al. Optimal duration of dual antiplatelet therapy after percutaneous coronary intervention with drug eluting stents: meta-analysis of randomised controlled trials. BMJ 350, h1618 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  134. Galli, M. et al. Pharmacodynamic profiles of dual-pathway inhibition with or without clopidogrel versus dual antiplatelet therapy in patients with atherosclerotic disease. Thromb. Haemost. 122, 1341–1351 (2022).

    Article  PubMed  Google Scholar 

  135. Galli, M. et al. Platelet P2Y12 inhibiting therapy in adjunct to vascular dose of rivaroxaban or aspirin: a pharmacodynamic study of dual pathway inhibition vs. dual antiplatelet therapy. Eur. Heart J. Cardiovasc. Pharmacother. 8, 728–737 (2022).

    Article  PubMed  Google Scholar 

  136. Ortega-Paz, L. et al. Switching from dual antiplatelet therapy with aspirin plus a P2Y12 inhibitor to dual pathway inhibition with aspirin plus vascular-dose rivaroxaban: the Switching Anti-Platelet and Anti-Coagulant Therapy (SWAP-AC) study. Thromb. Haemost. https://doi.org/10.1055/a-2098-6639 (2023).

    Article  PubMed  Google Scholar 

  137. Galli, M. et al. Dual pathway inhibition in patients with atherosclerotic disease: pharmacodynamic considerations and clinical implications. Expert Rev. Clin. Pharmacol. 16, 27–38 (2023).

    Article  CAS  PubMed  Google Scholar 

  138. Capodanno, D. et al. Dual-pathway inhibition for secondary and tertiary antithrombotic prevention in cardiovascular disease. Nat. Rev. Cardiol. 17, 242–257 (2020).

    Article  CAS  PubMed  Google Scholar 

  139. Galli, M. et al. Efficacy and safety of dual-pathway inhibition in patients with cardiovascular disease: a meta-analysis of 49 802 patients from 7 randomized trials. Eur. Heart J. Cardiovasc. Pharmacother. 8, 519–528 (2022).

    Article  PubMed  Google Scholar 

  140. Eikelboom, J. W. et al. Rivaroxaban with or without aspirin in stable cardiovascular disease. N. Engl. J. Med. 377, 1319–1330 (2017).

    Article  CAS  PubMed  Google Scholar 

  141. Ohman, E. M. et al. Clinically significant bleeding with low-dose rivaroxaban versus aspirin, in addition to P2Y12 inhibition, in acute coronary syndromes (GEMINI-ACS-1): a double-blind, multicentre, randomised trial. Lancet 389, 1799–1808 (2017).

    Article  CAS  PubMed  Google Scholar 

  142. Ruff, C. T. et al. Abelacimab versus rivaroxaban in patients with atrial fibrillation. N. Engl. J. Med. 392, 361–371 (2025).

    Article  CAS  PubMed  Google Scholar 

  143. Galli, M. et al. Factor XI inhibitors in early clinical trials: a meta-analysis. Thromb. Haemost. 123, 576–584 (2023).

    Article  PubMed  Google Scholar 

  144. Gibson, C. M. et al. Oral factor xia inhibitor milvexian after a recent acute coronary syndrome: rationale and design of the phase 3 (Librexia ACS). Am. Heart J. 285, 21–28 (2025).

    Article  CAS  PubMed  Google Scholar 

  145. Galli, M., Gibson, C. M. & Angiolillo, D. J. Factor XI inhibitors in adjunct to antiplatelet therapy: the ultimate dual-pathway inhibition? Bleeding Thrombos. Vasc. Biol. https://doi.org/10.4081/btvb.2023.90 (2023).

    Article  Google Scholar 

  146. Claassens, D. M. F. et al. A genotype-guided strategy for oral P2Y12 inhibitors in primary PCI. N. Engl. J. Med. 381, 1621–1631 (2019).

    Article  CAS  PubMed  Google Scholar 

  147. Galli, M. et al. Guided versus standard antiplatelet therapy in patients undergoing percutaneous coronary intervention: a systematic review and meta-analysis. Lancet 397, 1470–1483 (2021).

    Article  PubMed  Google Scholar 

  148. Galli, M. et al. Comparative effects of guided vs. potent P2Y12 inhibitor therapy in acute coronary syndrome: a network meta-analysis of 61 898 patients from 15 randomized trials. Eur. Heart J. 43, 959–967 (2022).

    Article  PubMed  Google Scholar 

  149. Pereira, N. L. et al. Effect of genotype-guided oral P2Y12 inhibitor selection vs conventional clopidogrel therapy on ischemic outcomes after percutaneous coronary intervention: the TAILOR-PCI randomized clinical trial. JAMA 324, 761–771 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  150. Zheng, Y.-Y. et al. Personalized antiplatelet therapy guided by a novel detection of platelet aggregation function in stable coronary artery disease patients undergoing percutaneous coronary intervention: a randomized controlled clinical trial. Eur. Heart J. Cardiovasc. Pharmacother. 6, 211–221 (2019).

    Article  Google Scholar 

  151. Byrne, R. A. et al. 2023 ESC Guidelines for the management of acute coronary syndromes. Eur. Heart J. 44, 3720–3826 (2023).

    Article  CAS  PubMed  Google Scholar 

  152. Pereira, N. L. et al. Effect of CYP2C19 genotype on ischemic outcomes during oral P2Y12 inhibitor therapy: a meta-analysis. JACC Cardiovasc. Interv. 14, 739–750 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  153. Lee, C. R. et al. Clinical Pharmacogenetics Implementation Consortium Guideline for CYP2C19 Genotype and Clopidogrel Therapy: 2022 update. Clin. Pharmacol. Ther. 112, 959–967 (2022).

    Article  CAS  PubMed  Google Scholar 

  154. Rao, S. V. et al. 2025 ACC/AHA/ACEP/NAEMSP/SCAI Guideline for the Management of Patients with Acute Coronary Syndromes. A report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J. Am. Coll. Cardiol. https://doi.org/10.1016/j.jacc.2024.11.009 (2025).

  155. Gragnano, F. et al. P2Y12 inhibitor or aspirin monotherapy for secondary prevention of coronary events. J. Am. Coll. Cardiol. 82, 89–105 (2023).

    Article  CAS  PubMed  Google Scholar 

  156. Galli, M., Capodanno, D., Andreotti, F., Crea, F. & Angiolillo, D. J. Safety and efficacy of P2Y12 inhibitor monotherapy in patients undergoing percutaneous coronary interventions. Expert Opin. Drug Saf. 20, 9–21 (2021).

    Article  CAS  PubMed  Google Scholar 

  157. Valgimigli, M. et al. De-escalation to ticagrelor monotherapy versus 12 months of dual antiplatelet therapy in patients with and without acute coronary syndromes: a systematic review and individual patient-level meta-analysis of randomised trials. Lancet 404, 937–948 (2024).

    Article  CAS  PubMed  Google Scholar 

  158. Galli, M. et al. P2Y12 inhibitor monotherapy after short DAPT in acute coronary syndrome: a systematic review and meta-analysis. Eur. Heart J. Cardiovasc. Pharmacother. 10, 588–598 (2024).

    Article  CAS  PubMed  Google Scholar 

  159. Galli, M. et al. Impact of ethnicity on antiplatelet treatment regimens for bleeding reduction in acute coronary syndromes: a systematic review and pre-specified subgroup meta-analysis. Eur. Heart J. Cardiovasc. Pharmacother. 10, 158–169 (2024).

    Article  CAS  PubMed  Google Scholar 

  160. Giordano, S. et al. Combining colchicine and antiplatelet therapy to tackle atherothrombosis: a paradigm in transition? Int. J. Mol. Sci. https://doi.org/10.3390/ijms26031136 (2025).

    Article  PubMed  PubMed Central  Google Scholar 

  161. Javaid, M. et al. Bleeding risk in patients receiving omega-3 polyunsaturated fatty acids: a systematic review and meta-analysis of randomized clinical trials. J. Am. Heart Assoc. 13, e032390 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  162. Galli, M., Princi, G., Crea, F. & D’Amario, D. Colchicine and risk of non-cardiovascular death in patients with coronary artery disease: a pooled analysis underling possible safety concerns. Eur. Heart J. Cardiovasc. Pharmacother. 7, e18–e19 (2021).

    Article  PubMed  Google Scholar 

  163. GBD 2019 Risk Factors Collaborators. Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the global burden of disease study 2019. Lancet 396, 1223–1249 (2020).

    Article  Google Scholar 

  164. Klempfner, R. et al. Elevated triglyceride level is independently associated with increased all-cause mortality in patients with established coronary heart disease: twenty-two-year follow-up of the bezafibrate infarction prevention study and registry. Circ. Cardiovasc. Qual. Outcomes 9, 100–108 (2016).

    Article  PubMed  Google Scholar 

  165. Nichols, G. A., Philip, S., Reynolds, K., Granowitz, C. B. & Fazio, S. Increased cardiovascular risk in hypertriglyceridemic patients with statin-controlled LDL cholesterol. J. Clin. Endocrinol. Metab. 103, 3019–3027 (2018).

    Article  PubMed  Google Scholar 

  166. Lewington, S. et al. Blood cholesterol and vascular mortality by age, sex, and blood pressure: a meta-analysis of individual data from 61 prospective studies with 55,000 vascular deaths. Lancet 370, 1829–1839 (2007).

    Article  PubMed  Google Scholar 

  167. Mach, F. et al. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur. Heart J. 41, 111–188 (2020).

    Article  PubMed  Google Scholar 

  168. Nordestgaard, B. G. & Langsted, A. Lipoprotein(a) and cardiovascular disease. Lancet 404, 1255–1264 (2024).

    Article  CAS  PubMed  Google Scholar 

  169. Clarke, R. et al. Genetic variants associated with Lp(a) lipoprotein level and coronary disease. N. Engl. J. Med. 361, 2518–2528 (2009).

    Article  CAS  PubMed  Google Scholar 

  170. Kamstrup, P. R., Tybjaerg-Hansen, A., Steffensen, R. & Nordestgaard, B. G. Genetically elevated lipoprotein(a) and increased risk of myocardial infarction. JAMA 301, 2331–2339 (2009).

    Article  CAS  PubMed  Google Scholar 

  171. Patel, A. P. et al. Lp(a) (Lipoprotein[a]) concentrations and incident atherosclerotic cardiovascular disease: new insights from a large national biobank. Arterioscler. Thromb. Vasc. Biol. 41, 465–474 (2021).

    Article  CAS  PubMed  Google Scholar 

  172. Burgess, S. et al. Association of LPA variants with risk of coronary disease and the implications for lipoprotein(a)-lowering therapies: a Mendelian randomization analysis. JAMA Cardiol. 3, 619–627 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  173. Nurmohamed, N. S. et al. Lipoprotein(a) and long-term plaque progression, low-density plaque, and pericoronary inflammation. JAMA Cardiol. 9, 826–834 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  174. Willeit, P. et al. Baseline and on-statin treatment lipoprotein(a) levels for prediction of cardiovascular events: individual patient-data meta-analysis of statin outcome trials. Lancet 392, 1311–1320 (2018).

    Article  CAS  PubMed  Google Scholar 

  175. Gencer, B. et al. Prognostic value of elevated lipoprotein(a) in patients with acute coronary syndromes. Eur. J. Clin. Invest. 49, e13117 (2019).

    Article  PubMed  Google Scholar 

  176. Li, Q. et al. The relationship between lipoprotein(a) and cardiovascular events in acute coronary syndrome patients with and without chronic kidney disease. Atherosclerosis 349, 204–210 (2022).

    Article  CAS  PubMed  Google Scholar 

  177. Gómez, M. et al. Oxidized LDL, lipoprotein (a), and other emergent risk factors in acute myocardial infarction (FORTIAM Study). Rev. Esp. Cardiol. 62, 373–382 (2009).

    Article  PubMed  Google Scholar 

  178. Roth, C. et al. Lipoprotein(a) plasma levels are not associated with survival after acute coronary syndromes: an observational cohort study. PLoS ONE 15, e0227054 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  179. Cui, C. Y. et al. Lipoprotein a combined with fibrinogen as an independent predictor of long-term prognosis in patients with acute coronary syndrome: a multi-center retrospective study. J. Cardiovasc. Dev. Dis. https://doi.org/10.3390/jcdd9100322 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  180. Takahashi, D. et al. Impact of lipoprotein(a) as a residual risk factor in long-term cardiovascular outcomes in patients with acute coronary syndrome treated with statins. Am. J. Cardiol. 168, 11–16 (2022).

    Article  CAS  PubMed  Google Scholar 

  181. Wang, Y. et al. Impact of postprocedural high-sensitivity C-reactive protein on lipoprotein(a)-associated cardiovascular risk with ST-segment elevation myocardial infarction with percutaneous coronary intervention. Am. J. Cardiol. 150, 8–14 (2021).

    Article  CAS  PubMed  Google Scholar 

  182. Park, J. S. et al. Baseline lipoprotein(a) levels and long-term cardiovascular outcomes after acute myocardial infarction. J. Korean Med. Sci. 38, e102 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  183. Xue, Y. et al. Associations of lipoprotein(a) with coronary atherosclerotic burden and all-cause mortality in patients with ST-segment elevation myocardial infarction treated with primary percutaneous coronary intervention. Front. Cardiovasc. Med. 8, 638679 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  184. Li, Q., Xu, S., Shen, J. & Sun, F. The nonlinear association between lipoprotein(a) and major adverse cardiovascular events in acute coronary syndrome patients with three-vessel disease. Sci. Rep. 15, 1720 (2025).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  185. Wang, G. et al. Prognostic value of elevated lipoprotein (a) in patients with acute coronary syndromes: a systematic review and meta-analysis. Front. Cardiovasc. Med. 11, 1362893 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  186. O’Donoghue, M. L. et al. Lipoprotein(a) for risk assessment in patients with established coronary artery disease. J. Am. Coll. Cardiol. 63, 520–527 (2014).

    Article  PubMed  Google Scholar 

  187. Stubbs, P. et al. Lipoprotein(a) as a risk predictor for cardiac mortality in patients with acute coronary syndromes. Eur. Heart J. 19, 1355–1364 (1998).

    Article  CAS  PubMed  Google Scholar 

  188. Yu, M. M. et al. Association of lipoprotein(a) levels with myocardial infarction in patients with low-attenuation plaque. J. Am. Coll. Cardiol. 83, 1743–1755 (2024).

    Article  CAS  PubMed  Google Scholar 

  189. Gaba, P. et al. Intraindividual variability in serial lipoprotein(a) concentrations among placebo-treated patients in the OCEAN(a)-DOSE trial. JACC 85, 550–553 (2025).

    Article  CAS  PubMed  Google Scholar 

  190. Borén, J., Packard, C. J. & Binder, C. J. Apolipoprotein B-containing lipoproteins in atherogenesis. Nat. Rev. Cardiol. https://doi.org/10.1038/s41569-024-01111-0 (2025).

    Article  PubMed  Google Scholar 

  191. Johannesen, C. D. L., Mortensen, M. B., Langsted, A. & Nordestgaard, B. G. Apolipoprotein B and non-HDL cholesterol better reflect residual risk than LDL cholesterol in statin-treated patients. J. Am. Coll. Cardiol. 77, 1439–1450 (2021).

    Article  CAS  PubMed  Google Scholar 

  192. Walldius, G. et al. High apolipoprotein B, low apolipoprotein A-I, and improvement in the prediction of fatal myocardial infarction (AMORIS study): a prospective study. Lancet 358, 2026–2033 (2001).

    Article  CAS  PubMed  Google Scholar 

  193. Thompson, A. & Danesh, J. Associations between apolipoprotein B, apolipoprotein AI, the apolipoprotein B/AI ratio and coronary heart disease: a literature-based meta-analysis of prospective studies. J. Intern. Med. 259, 481–492 (2006).

    Article  CAS  PubMed  Google Scholar 

  194. Yusuf, S. et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet 364, 937–952 (2004).

    Article  PubMed  Google Scholar 

  195. Johannesen, C. D. L., Langsted, A., Nordestgaard, B. G. & Mortensen, M. B. Excess apolipoprotein B and cardiovascular risk in women and men. J. Am. Coll. Cardiol. 83, 2262–2273 (2024).

    Article  CAS  PubMed  Google Scholar 

  196. Sniderman, A. D. et al. Discordance among apoB, non-high-density lipoprotein cholesterol, and triglycerides: implications for cardiovascular prevention. Eur. Heart J. 45, 2410–2418 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  197. Kawahara, H., Endo, A., Uchida, K. & Tanabe, K. Prognostic role of apolipoproteins on long-term major adverse cardiac events after percutaneous coronary intervention. Cardiovasc. Revasc. Med. 61, 85–92 (2024).

    Article  PubMed  Google Scholar 

  198. Benderly, M., Boyko, V. & Goldbourt, U. Apolipoproteins and long-term prognosis in coronary heart disease patients. Am. Heart J. 157, 103–110 (2009).

    Article  CAS  PubMed  Google Scholar 

  199. Hagström, E. et al. Apolipoprotein B, residual cardiovascular risk after acute coronary syndrome, and effects of alirocumab. Circulation 146, 657–672 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  200. Soffer, D. E. et al. Role of apolipoprotein B in the clinical management of cardiovascular risk in adults: an expert clinical consensus from the National Lipid Association. J. Clin. Lipidol. 18, e647–e663 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  201. Ivanova, E. A., Myasoedova, V. A., Melnichenko, A. A., Grechko, A. V. & Orekhov, A. N. Small dense low-density lipoprotein as biomarker for atherosclerotic diseases. Oxid. Med. Cell Longev. 2017, 1273042 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  202. Ikezaki, H. et al. Small dense low-density lipoprotein cholesterol is the most atherogenic lipoprotein parameter in the prospective Framingham Offspring Study. J. Am. Heart Assoc. 10, e019140 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  203. Koba, S. et al. Impact of direct measurement of small dense low-density lipoprotein cholesterol for long-term secondary prevention in patients with stable coronary artery disease. Clin. Chem. 70, 957–966 (2024).

    Article  CAS  PubMed  Google Scholar 

  204. Imamura, T., Hori, M., Narang, N., Ueno, H. & Kinugawa, K. Prognostic implication of small dense LDL-cholesterol levels following acute coronary syndrome. Medicina 59, 158 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  205. Zhang, J. & He, L. Relationship between small dense low density lipoprotein and cardiovascular events in patients with acute coronary syndrome undergoing percutaneous coronary intervention. BMC Cardiovasc. Disord. 21, 169 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  206. Sekimoto, T. et al. Small dense low-density lipoprotein cholesterol: a residual risk for rapid progression of non-culprit coronary lesion in patients with acute coronary syndrome. J. Atheroscler. Thromb. 28, 1161–1174 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  207. Hsu, J. F. et al. Low-density lipoprotein electronegativity is a novel cardiometabolic risk factor. PLoS ONE 9, e107340 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  208. Kraler, S. et al. Low-density lipoprotein electronegativity and risk of death after acute coronary syndromes: a case-cohort analysis. Atherosclerosis 376, 43–52 (2023).

    Article  CAS  PubMed  Google Scholar 

  209. Lee, J. J. et al. Cholesterol efflux capacity and its association with adverse cardiovascular events: a systematic review and meta-analysis. Front. Cardiovasc. Med. 8, 774418 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  210. Guerin, M. et al. Association of serum cholesterol efflux capacity with mortality in patients with ST-segment elevation myocardial infarction. J. Am. Coll. Cardiol. 72, 3259–3269 (2018).

    Article  PubMed  Google Scholar 

  211. Silvain, J. et al. Defective biological activities of high-density lipoprotein identify patients at highest risk of recurrent cardiovascular event. Eur. J. Prev. Cardiol. https://doi.org/10.1093/eurjpc/zwae356 (2024).

    Article  Google Scholar 

  212. Zhang, J. et al. Prognostic usefulness of serum cholesterol efflux capacity in patients with coronary artery disease. Am. J. Cardiol. 117, 508–514 (2016).

    Article  CAS  PubMed  Google Scholar 

  213. Ishikawa, T. et al. High-density lipoprotein cholesterol efflux capacity as a relevant predictor of atherosclerotic coronary disease. Atherosclerosis 242, 318–322 (2015).

    Article  CAS  PubMed  Google Scholar 

  214. Liu, C. et al. Cholesterol efflux capacity is an independent predictor of all-cause and cardiovascular mortality in patients with coronary artery disease: a prospective cohort study. Atherosclerosis 249, 116–124 (2016).

    Article  CAS  PubMed  Google Scholar 

  215. Castañer, O. et al. Remnant cholesterol, not LDL cholesterol, is associated with incident cardiovascular disease. J. Am. Coll. Cardiol. 76, 2712–2724 (2020).

    Article  PubMed  Google Scholar 

  216. Hansen, M. K. et al. Non-HDL cholesterol and residual cardiovascular risk in statin-treated patients with and without diabetes: the Western Denmark Heart Registry. Eur. J. Prev. Cardiol. 31, 1238–1248 (2024).

    Article  PubMed  Google Scholar 

  217. Langsted, A., Madsen, C. M. & Nordestgaard, B. G. Contribution of remnant cholesterol to cardiovascular risk. J. Intern. Med. 288, 116–127 (2020).

    Article  CAS  PubMed  Google Scholar 

  218. Schubert, J. et al. Intensive early and sustained lowering of non-high-density lipoprotein cholesterol after myocardial infarction and prognosis: the SWEDEHEART registry. Eur. Heart J. 45, 4204–4215 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  219. Ray, K. K. et al. Prognostic utility of apoB/AI, total cholesterol/HDL, non-HDL cholesterol, or hs-CRP as predictors of clinical risk in patients receiving statin therapy after acute coronary syndromes: results from PROVE IT-TIMI 22. Arterioscler. Thromb. Vasc. Biol. 29, 424–430 (2009).

    Article  CAS  PubMed  Google Scholar 

  220. Ridker, P. M., Tuttle, K. R., Perkovic, V., Libby, P. & MacFadyen, J. G. Inflammation drives residual risk in chronic kidney disease: a CANTOS substudy. Eur. Heart J. 43, 4832–4844 (2022).

    Article  CAS  PubMed  Google Scholar 

  221. Zhang, J. et al. ApoB/ApoA-Ι is associated with major cardiovascular events and readmission risk of patients after percutaneous coronary intervention in one year. Sci. Rep. 15, 996 (2025).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  222. Holme, I. et al. Lipoprotein predictors of cardiovascular events in statin-treated patients with coronary heart disease. Insights from the Incremental Decrease in End-points through Aggressive Lipid-lowering Trial (IDEAL). Ann. Med. 40, 456–464 (2008).

    Article  CAS  PubMed  Google Scholar 

  223. Deng, F. et al. Association between apolipoprotein B/A1 ratio and coronary plaque vulnerability in patients with atherosclerotic cardiovascular disease: an intravascular optical coherence tomography study. Cardiovasc. Diabetol. 20, 188 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  224. Kersten, S. Angiopoietin-like 3 in lipoprotein metabolism. Nat. Rev. Endocrinol. 13, 731–739 (2017).

    Article  CAS  PubMed  Google Scholar 

  225. Dewey, F. E. et al. Genetic and pharmacologic inactivation of ANGPTL3 and cardiovascular disease. N. Engl. J. Med. 377, 211–221 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  226. Stitziel, N. O. et al. ANGPTL3 deficiency and protection against coronary artery disease. J. Am. Coll. Cardiol. 69, 2054–2063 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  227. Chen, M. C., Hsu, B. G., Lee, C. J. & Wang, J. H. High-serum angiopoietin-like protein 3 levels associated with cardiovascular outcome in patients with coronary artery disease. Int. J. Hypertens. 2020, 2980954 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  228. Lv, Q. et al. ANGPTL3 and cardiovascular outcomes in patients with acute coronary syndrome and obstructive sleep apnea. J. Am. Heart Assoc. 11, e025955 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  229. Landfors, F., Henneman, P., Chorell, E., Nilsson, S. K. & Kersten, S. Drug-target Mendelian randomization analysis supports lowering plasma ANGPTL3, ANGPTL4, and APOC3 levels as strategies for reducing cardiovascular disease risk. Eur. Heart J. Open 4, oeae035 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  230. Silbernagel, G. et al. Associations of circulating ANGPTL3, C-terminal domain-containing ANGPTL4, and ANGPTL3/8 and ANGPTL4/8 complexes with LPL activity, diabetes, inflammation, and cardiovascular mortality. Circulation 151, 218–234 (2025).

    Article  CAS  PubMed  Google Scholar 

  231. Wang, W. et al. Joint associations of APOC3 and LDL-C-lowering variants with the risk of coronary heart disease. JAMA Cardiol. https://doi.org/10.1001/jamacardio.2025.0195 (2025).

    Article  PubMed  PubMed Central  Google Scholar 

  232. Jørgensen, A. B., Frikke-Schmidt, R., Nordestgaard, B. G. & Tybjærg-Hansen, A. Loss-of-function mutations in APOC3 and risk of ischemic vascular disease. N. Engl. J. Med. 371, 32–41 (2014).

    Article  PubMed  Google Scholar 

  233. Wulff, A. B., Nordestgaard, B. G. & Tybjærg-Hansen, A. APOC3 loss-of-function mutations, remnant cholesterol, low-density lipoprotein cholesterol, and cardiovascular risk. Arterioscler. Thromb. Vasc. Biol. 38, 660–668 (2018).

    Article  CAS  PubMed  Google Scholar 

  234. Clarke, R. et al. Apolipoprotein proteomics for residual lipid-related risk in coronary heart disease. Circ. Res. 132, 452–464 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  235. Varbo, A. et al. Remnant cholesterol as a causal risk factor for ischemic heart disease. J. Am. Coll. Cardiol. 61, 427–436 (2013).

    Article  CAS  PubMed  Google Scholar 

  236. Jørgensen, A. B. et al. Genetically elevated non-fasting triglycerides and calculated remnant cholesterol as causal risk factors for myocardial infarction. Eur. Heart J. 34, 1826–1833 (2013).

    Article  PubMed  Google Scholar 

  237. Varbo, A., Benn, M., Tybjærg-Hansen, A. & Nordestgaard, B. G. Elevated remnant cholesterol causes both low-grade inflammation and ischemic heart disease, whereas elevated low-density lipoprotein cholesterol causes ischemic heart disease without inflammation. Circulation 128, 1298–1309 (2013).

    Article  CAS  PubMed  Google Scholar 

  238. Doi, T., Langsted, A. & Nordestgaard, B. G. Elevated remnant cholesterol reclassifies risk of ischemic heart disease and myocardial infarction. J. Am. Coll. Cardiol. 79, 2383–2397 (2022).

    Article  CAS  PubMed  Google Scholar 

  239. Quispe, R. et al. Remnant cholesterol predicts cardiovascular disease beyond LDL and ApoB: a primary prevention study. Eur. Heart J. 42, 4324–4332 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  240. Cordero, A. et al. Remnant cholesterol in patients admitted for acute coronary syndromes. Eur. J. Prev. Cardiol. 30, 340–348 (2022).

    Article  Google Scholar 

  241. Shao, Q. et al. Elevated remnant cholesterol is associated with adverse cardiovascular outcomes in patients with acute coronary syndrome. J. Atheroscler. Thromb. 29, 1808–1822 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  242. Nguyen, S. V., Nakamura, T. & Kugiyama, K. High remnant lipoprotein predicts recurrent cardiovascular events on statin treatment after acute coronary syndrome. Circ. J. 78, 2492–2500 (2014).

    Article  CAS  PubMed  Google Scholar 

  243. Liao, J. et al. The residual risk of inflammation and remnant cholesterol in acute coronary syndrome patients on statin treatment undergoing percutaneous coronary intervention. Lipids Health Dis. 23, 172 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  244. Nakamura, T. et al. Predictive value of remnant lipoprotein for cardiovascular events in patients with coronary artery disease after achievement of LDL-cholesterol goals. Atherosclerosis 218, 163–167 (2011).

    Article  CAS  PubMed  Google Scholar 

  245. Fukushima, H. et al. Prognostic value of remnant-like lipoprotein particle levels in patients with coronary artery disease and type II diabetes mellitus. J. Am. Coll. Cardiol. 43, 2219–2224 (2004).

    Article  CAS  PubMed  Google Scholar 

  246. Zafrir, B., Khoury, R. & Saliba, W. Remnant cholesterol and risk of myocardial infarction in patients with coronary artery disease undergoing revascularization. J. Clin. Lipidol. 17, 332–341 (2023).

    Article  PubMed  Google Scholar 

  247. Lee, J.-H. et al. Remnant cholesterol as a residual risk in atherosclerotic cardiovascular disease patients under statin-based lipid-lowering therapy: a post hoc analysis of the RACING trial. J. Clin. Lipidol. https://doi.org/10.1016/j.jacl.2024.07.005 (2024).

    Article  PubMed  Google Scholar 

  248. Chowdhury, R. et al. Adherence to cardiovascular therapy: a meta-analysis of prevalence and clinical consequences. Eur. Heart J. 34, 2940–2948 (2013).

    Article  CAS  PubMed  Google Scholar 

  249. Pradhan, A. D. et al. Triglyceride lowering with pemafibrate to reduce cardiovascular risk. N. Engl. J. Med. 387, 1923–1934 (2022).

    Article  CAS  PubMed  Google Scholar 

  250. Abdelhamid, A. S. et al. Omega-3 fatty acids for the primary and secondary prevention of cardiovascular disease. Cochrane Database Syst. Rev. 3, Cd003177 (2020).

    PubMed  Google Scholar 

  251. Bhatt, D. L. et al. Cardiovascular risk reduction with icosapent ethyl for hypertriglyceridemia. N. Engl. J. Med. 380, 11–22 (2019).

    Article  CAS  PubMed  Google Scholar 

  252. Yokoyama, M. et al. Effects of eicosapentaenoic acid on major coronary events in hypercholesterolaemic patients (JELIS): a randomised open-label, blinded endpoint analysis. Lancet 369, 1090–1098 (2007).

    Article  CAS  PubMed  Google Scholar 

  253. Miyauchi, K. et al. Randomized Trial for Evaluation in Secondary Prevention Efficacy of Combination Therapy-Statin and Eicosapentaenoic Acid (RESPECT-EPA). Circulation 150, 425–434 (2024).

    Article  CAS  PubMed  Google Scholar 

  254. Tsimikas, S., Gordts, P., Nora, C., Yeang, C. & Witztum, J. L. Statin therapy increases lipoprotein(a) levels. Eur. Heart J. 41, 2275–2284 (2020).

    Article  CAS  PubMed  Google Scholar 

  255. de Boer, L. M. et al. Statin therapy and lipoprotein(a) levels: a systematic review and meta-analysis. Eur. J. Prev. Cardiol. 29, 779–792 (2022).

    Article  PubMed  Google Scholar 

  256. Pedersen, T. R. et al. Lipoprotein changes and reduction in the incidence of major coronary heart disease events in the Scandinavian Simvastatin Survival Study (4S). Circulation 97, 1453–1460 (1998).

    Article  CAS  PubMed  Google Scholar 

  257. Kastelein, J. J. et al. Lipids, apolipoproteins, and their ratios in relation to cardiovascular events with statin treatment. Circulation 117, 3002–3009 (2008).

    Article  CAS  PubMed  Google Scholar 

  258. Mora, S. et al. On-treatment non-high-density lipoprotein cholesterol, apolipoprotein B, triglycerides, and lipid ratios in relation to residual vascular risk after treatment with potent statin therapy: JUPITER (justification for the use of statins in prevention: an intervention trial evaluating rosuvastatin). J. Am. Coll. Cardiol. 59, 1521–1528 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  259. Otokozawa, S. et al. Effects of intensive atorvastatin and rosuvastatin treatment on apolipoprotein B-48 and remnant lipoprotein cholesterol levels. Atherosclerosis 205, 197–201 (2009).

    Article  CAS  PubMed  Google Scholar 

  260. Miller, P. E. et al. Pitavastatin 4 mg provides significantly greater reduction in remnant lipoprotein cholesterol compared with pravastatin 40 mg: results from the short-term phase IV PREVAIL US trial in patients with primary hyperlipidemia or mixed dyslipidemia. Clin. Ther. 38, 603–609 (2016).

    Article  CAS  PubMed  Google Scholar 

  261. Chu, C. S. et al. Four statin benefit groups defined by the 2013 ACC/AHA new cholesterol guideline are characterized by increased plasma level of electronegative low-density lipoprotein. Acta Cardiol. Sin. 32, 667–675 (2016).

    PubMed  PubMed Central  Google Scholar 

  262. Cannon, C. P. et al. Ezetimibe added to statin therapy after acute coronary syndromes. N. Engl. J. Med. 372, 2387–2397 (2015).

    Article  CAS  PubMed  Google Scholar 

  263. Farnier, M. Ezetimibe/statin combination therapy to treat patients with type 2 diabetes. Atheroscler. Suppl. 17, 2–8 (2015).

    Article  PubMed  Google Scholar 

  264. Toth, P. P. et al. Effect of alirocumab on specific lipoprotein non-high-density lipoprotein cholesterol and subfractions as measured by the vertical auto profile method: analysis of 3 randomized trials versus placebo. Lipids Health Dis. 15, 28 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  265. Ray, K. K. et al. Two phase 3 trials of inclisiran in patients with elevated LDL cholesterol. N. Engl. J. Med. 382, 1507–1519 (2020).

    Article  CAS  PubMed  Google Scholar 

  266. O’Donoghue, M. L. et al. Lipoprotein(a), PCSK9 Inhibition, and cardiovascular risk. Circulation 139, 1483–1492 (2019).

    Article  PubMed  Google Scholar 

  267. Bittner, V. A. et al. Effect of alirocumab on lipoprotein(a) and cardiovascular risk after acute coronary syndrome. J. Am. Coll. Cardiol. 75, 133–144 (2020).

    Article  CAS  PubMed  Google Scholar 

  268. Sabatine, M. S. et al. Evolocumab and clinical outcomes in patients with cardiovascular disease. N. Engl. J. Med. 376, 1713–1722 (2017).

    Article  CAS  PubMed  Google Scholar 

  269. Schwartz, G. G. et al. Alirocumab and cardiovascular outcomes after acute coronary syndrome. N. Engl. J. Med. 379, 2097–2107 (2018).

    Article  CAS  PubMed  Google Scholar 

  270. Mahmood, T. et al. Effect of PCSK9 inhibition on plasma levels of small dense low density lipoprotein-cholesterol and 7-ketocholesterol. J. Clin. Lipidol. 18, e50–e58 (2024).

    Article  PubMed  Google Scholar 

  271. Heidemann, B. E. et al. Effect of evolocumab on fasting and post fat load lipids and lipoproteins in familial dysbetalipoproteinemia. J. Clin. Lipidol. 17, 112–123 (2023).

    Article  PubMed  Google Scholar 

  272. Alhomoud, I. S. et al. Role of lipoprotein(a) in atherosclerotic cardiovascular disease: a review of current and emerging therapies. Pharmacother. J. Hum. Pharmacol. Drug Ther. 43, 1051–1063 (2023).

    Article  CAS  Google Scholar 

  273. Di Minno, A. et al. Efficacy and safety of bempedoic acid in patients with hypercholesterolemia: systematic review and meta-analysis of randomized controlled trials. J. Am. Heart Assoc. 9, e016262 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  274. Ray, K. K. et al. Safety and efficacy of bempedoic acid to reduce LDL cholesterol. N. Engl. J. Med. 380, 1022–1032 (2019).

    Article  CAS  PubMed  Google Scholar 

  275. Laufs, U. et al. Efficacy and safety of bempedoic acid in patients with hypercholesterolemia and statin intolerance. J. Am. Heart Assoc. 8, e011662 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  276. Ballantyne, C. M. et al. Efficacy and safety of bempedoic acid added to ezetimibe in statin-intolerant patients with hypercholesterolemia: a randomized, placebo-controlled study. Atherosclerosis 277, 195–203 (2018).

    Article  CAS  PubMed  Google Scholar 

  277. Takeda, Y. et al. The effects of pemafibrate and omega-3 fatty acid ethyl on apoB-48 in dyslipidemic patients treated with statin: a prospective, multicenter, open-label, randomized, parallel group trial in Japan (PROUD48 study). Front. Cardiovasc. Med. https://doi.org/10.3389/fcvm.2023.1094100 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  278. Rubino, J., MacDougall, D. E., Sterling, L. R., Hanselman, J. C. & Nicholls, S. J. Combination of bempedoic acid, ezetimibe, and atorvastatin in patients with hypercholesterolemia: a randomized clinical trial. Atherosclerosis 320, 122–128 (2021).

    Article  CAS  PubMed  Google Scholar 

  279. Ballantyne, C. M. et al. Icosapent ethyl (eicosapentaenoic acid ethyl ester): effects on remnant-like particle cholesterol from the MARINE and ANCHOR studies. Atherosclerosis 253, 81–87 (2016).

    Article  CAS  PubMed  Google Scholar 

  280. Nicholls, S. J. et al. Evacetrapib alone or in combination with statins lowers lipoprotein(a) and total and small LDL particle concentrations in mildly hypercholesterolemic patients. J. Clin. Lipidol. 10, 519–527.e4 (2016).

    Article  PubMed  Google Scholar 

  281. Cesaro, A. et al. Visceral adipose tissue and residual cardiovascular risk: a pathological link and new therapeutic options. Front. Cardiovasc. Med. 10, 1187735 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  282. Borlaug, B. A. et al. Obesity and heart failure with preserved ejection fraction: new insights and pathophysiological targets. Cardiovasc. Res. 118, 3434–3450 (2023).

    Article  PubMed  Google Scholar 

  283. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in diabetes prevalence and treatment from 1990 to 2022: a pooled analysis of 1108 population-representative studies with 141 million participants. Lancet 404, 2077–2093 (2024).

    Article  PubMed Central  Google Scholar 

  284. Colwell, J. A., Lopes-Virella, M. & Halushka, P. V. Pathogenesis of atherosclerosis in diabetes mellitus. Diabetes Care 4, 121–133 (1981).

    Article  CAS  PubMed  Google Scholar 

  285. Patti, G. et al. Prevention of atherothrombotic events in patients with diabetes mellitus: from antithrombotic therapies to new-generation glucose-lowering drugs. Nat. Rev. Cardiol. 16, 113–130 (2019).

    Article  CAS  PubMed  Google Scholar 

  286. Murcia, A. M. et al. Impact of diabetes on mortality in patients with myocardial infarction and left ventricular dysfunction. Arch. Intern. Med. 164, 2273–2279 (2004).

    Article  PubMed  Google Scholar 

  287. Marx, N. et al. 2023 ESC Guidelines for the management of cardiovascular disease in patients with diabetes. Eur. Heart J. 44, 4043–4140 (2023).

    Article  CAS  PubMed  Google Scholar 

  288. Zhao, S., Kusminski, C. M. & Scherer, P. E. Adiponectin, leptin and cardiovascular disorders. Circ. Res. 128, 136–149 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  289. Nanayakkara, G., Kariharan, T., Wang, L., Zhong, J. & Amin, R. The cardio-protective signaling and mechanisms of adiponectin. Am. J. Cardiovasc. Dis. 2, 253–266 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  290. Morita, Y. et al. Impact of adiponectin and leptin on long-term adverse events in Japanese patients with acute myocardial infarction. results from the Nagoya Acute Myocardial Infarction Study (NAMIS). Circ. J. 77, 2778–2785 (2013).

    Article  CAS  PubMed  Google Scholar 

  291. Ricottini, E. et al. Leptin as predictor of cardiovascular events and high platelet reactivity in patients undergoing percutaneous coronary intervention. Clin. Nutr. ESPEN 58, 104–110 (2023).

    Article  PubMed  Google Scholar 

  292. Puurunen, V. P. et al. Leptin predicts short-term major adverse cardiac events in patients with coronary artery disease. Ann. Med. 49, 448–454 (2017).

    Article  CAS  PubMed  Google Scholar 

  293. Mayer, O. Jr. et al. High leptin status indicates an increased risk of mortality and heart failure in stable coronary artery disease. Nutr. Metab. Cardiovasc. Dis. 32, 2137–2146 (2022).

    Article  CAS  PubMed  Google Scholar 

  294. Ku, I. A. et al. Association of low leptin with cardiovascular events and mortality in patients with stable coronary artery disease: the Heart and Soul Study. Atherosclerosis 217, 503–508 (2011).

    Article  CAS  PubMed  Google Scholar 

  295. Söderberg, S. et al. Leptin, but not adiponectin, is a predictor of recurrent cardiovascular events in men: results from the LIPID study. Int. J. Obes. 33, 123–130 (2009).

    Article  Google Scholar 

  296. Shioji, K. et al. Relationship of serum adiponectin level to adverse cardiovascular events in patients who undergo percutaneous coronary intervention. Circ. J. 71, 675–680 (2007).

    Article  CAS  PubMed  Google Scholar 

  297. Beatty, A. L. et al. Adiponectin is associated with increased mortality and heart failure in patients with stable ischemic heart disease: data from the Heart and Soul Study. Atherosclerosis 220, 587–592 (2012).

    Article  CAS  PubMed  Google Scholar 

  298. Kitta, Y. et al. Low adiponectin levels predict late in-stent restenosis after bare metal stenting in native coronary arteries. Int. J. Cardiol. 131, 78–82 (2008).

    Article  PubMed  Google Scholar 

  299. Moldoveanu, E. et al. Low basal levels of circulating adiponectin in patients undergoing coronary stenting predict in-stent restenosis, independently of basal levels of inflammatory markers: lipoprotein associated phospholipase A2, and myeloperoxidase. Clin. Biochem. 41, 1429–1433 (2008).

    Article  CAS  PubMed  Google Scholar 

  300. Hascoet, S. et al. Adiponectin and long-term mortality in coronary artery disease participants and controls. Arterioscler. Thromb. Vasc. Biol. 33, e19–e29 (2013).

    Article  CAS  PubMed  Google Scholar 

  301. Pratesi, A. et al. Prognostic value of adiponectin in coronary artery disease: role of diabetes and left ventricular systolic dysfunction. Diabetes Res. Clin. Pract. 118, 58–66 (2016).

    Article  CAS  PubMed  Google Scholar 

  302. Pilz, S. et al. Adiponectin and mortality in patients undergoing coronary angiography. J. Clin. Endocrinol. Metab. 91, 4277–4286 (2006).

    Article  CAS  PubMed  Google Scholar 

  303. Lindberg, S. et al. Usefulness of adiponectin as a predictor of all cause mortality in patients with ST-segment elevation myocardial infarction treated with primary percutaneous coronary intervention. Am. J. Cardiol. 109, 492–496 (2012).

    Article  CAS  PubMed  Google Scholar 

  304. Lindberg, S. et al. Interplay between adiponectin and pro-atrial natriuretic peptide and prognosis in patients with ST-segment elevation myocardial infarction. Am. J. Cardiol. 116, 1340–1345 (2015).

    Article  CAS  PubMed  Google Scholar 

  305. Piestrzeniewicz, K., Luczak, K. & Goch, J. H. Value of blood adipose tissue hormones concentration — adiponectin, resistin and leptin in the prediction of major adverse cardiac events (MACE) in 1-year follow-up after primary percutaneous coronary intervention in ST-segment elevation acute myocardial infarction. Neuro Endocrinol. Lett. 29, 581–588 (2008).

    CAS  PubMed  Google Scholar 

  306. Huang, S. S. et al. Association of adiponectin with future cardiovascular events in patients after acute myocardial infarction. J. Atheroscler. Thromb. 17, 295–303 (2010).

    Article  CAS  PubMed  Google Scholar 

  307. Wilson, S. R. et al. Assessment of adiponectin and the risk of recurrent cardiovascular events in patients presenting with an acute coronary syndrome: observations from the Pravastatin Or atorVastatin Evaluation and Infection Trial–Thrombolysis in Myocardial Infarction 22 (PROVE IT–TIMI 22). Am. Heart J. 161, 1147–1155.e1 (2011).

    Article  CAS  PubMed  Google Scholar 

  308. Oliveira, G. B., França, J. & Piegas, L. S. Serum adiponectin and cardiometabolic risk in patients with acute coronary syndromes. Arq. Bras. Cardiol. 101, 399–409 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  309. Lee, S. H. et al. Plasma adiponectin and resistin levels as predictors of mortality in patients with acute myocardial infarction: data from infarction prognosis study registry. Coron. Artery Dis. 20, 33–39 (2009).

    Article  PubMed  Google Scholar 

  310. Yang, L., Li, B., Zhao, Y. & Zhang, Z. Prognostic value of adiponectin level in patients with coronary artery disease: a systematic review and meta-analysis. Lipids Health Dis. 18, 227 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  311. Askin, L., Abus, S. & Tanriverdi, O. Resistin and cardiovascular disease: a review of the current literature regarding clinical and pathological relationships. Curr. Cardiol. Rev. 18, e290721195114 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  312. Kreçki, R. et al. Elevated resistin opposed to adiponectin or angiogenin plasma levels as a strong, independent predictive factor for the occurrence of major adverse cardiac and cerebrovascular events in patients with stable multivessel coronary artery disease over 1-year follow-up. Med. Sci. Monit. 17, Cr26–Cr32 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  313. Momiyama, Y. et al. Serum resistin levels and cardiovascular events in patients undergoing percutaneous coronary intervention. J. Atheroscler. Thromb. 18, 108–114 (2011).

    Article  CAS  PubMed  Google Scholar 

  314. Khera, A. V. et al. On-statin resistin, leptin, and risk of recurrent coronary events after hospitalization for an acute coronary syndrome (from the Pravastatin or Atorvastatin Evaluation and Infection Therapy-Thrombolysis in Myocardial Infarction 22 Study). Am. J. Cardiol. 116, 694–698 (2015).

    Article  CAS  PubMed  Google Scholar 

  315. Grzywocz, P., Mizia-Stec, K., Wybraniec, M. & Chudek, J. Adipokines and endothelial dysfunction in acute myocardial infarction and the risk of recurrent cardiovascular events. J. Cardiovasc. Med. 16, 37–44 (2015).

    CAS  Google Scholar 

  316. Li, L., Han, J. L., Mao, J. M., Guo, L. J. & Gao, W. Association between serum resistin level and cardiovascular events in postmenopausal women with acute coronary syndrome undergoing percutaneous coronary intervention. Chin. Med. J. 126, 1058–1062 (2013).

    Article  CAS  PubMed  Google Scholar 

  317. Kralisch, S. & Fasshauer, M. Adipocyte fatty acid binding protein: a novel adipokine involved in the pathogenesis of metabolic and vascular disease? Diabetologia 56, 10–21 (2013).

    Article  CAS  PubMed  Google Scholar 

  318. Egbuche, O. et al. Fatty acid binding protein-4 and risk of cardiovascular disease: the Cardiovascular Health Study. J. Am. Heart Assoc. 9, e014070 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  319. von Eynatten, M. et al. Circulating adipocyte fatty acid-binding protein levels and cardiovascular morbidity and mortality in patients with coronary heart disease: a 10-year prospective study. Arterioscler. Thromb. Vasc. Biol. 32, 2327–2335 (2012).

    Article  Google Scholar 

  320. Tsai, H. Y. et al. Circulating fatty-acid binding-protein 4 levels predict CV events in patients after coronary interventions. J. Formos. Med. Assoc. 120, 728–736 (2021).

    Article  CAS  PubMed  Google Scholar 

  321. Takagi, W. et al. Circulating adipocyte fatty acid-binding protein is a predictor of cardiovascular events in patients with stable angina undergoing percutaneous coronary intervention. BMC Cardiovasc. Disord. 17, 258 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  322. Wong, Y. K. et al. Age-biomarkers-clinical risk factors for prediction of cardiovascular events in patients with coronary artery disease. Arterioscler. Thromb. Vasc. Biol. 38, 2519–2527 (2018).

    Article  CAS  PubMed  Google Scholar 

  323. O’Donoghue, M. et al. Prognostic utility of heart-type fatty acid binding protein in patients with acute coronary syndromes. Circulation 114, 550–557 (2006).

    Article  PubMed  Google Scholar 

  324. Viswanathan, K. et al. Heart-type fatty acid-binding protein predicts long-term mortality and re-infarction in consecutive patients with suspected acute coronary syndrome who are troponin-negative. J. Am. Coll. Cardiol. 55, 2590–2598 (2010).

    Article  CAS  PubMed  Google Scholar 

  325. Yang, L. et al. Predictive value of apelin-12 in patients with ST-elevation myocardial infarction with different renal function: a prospective observational study. BMJ Open 7, e018595 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  326. Zhao, E., Xie, H. & Zhang, Y. A nomogram based on apelin-12 for the prediction of major adverse cardiovascular events after percutaneous coronary intervention among patients with ST-segment elevation myocardial infarction. Cardiovasc. Ther. 2020, 9416803 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  327. Liu, Y., Xia, H., Li, M., Chen, Y. & Wu, Y. Prognostic value of combining apelin-12 and estimated glomerular filtration rate in patients with ST-segment elevation myocardial infarction. J. Interv. Cardiol. 2022, 2272928 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  328. Gan, F., Huang, J., Dai, T., Li, M. & Liu, J. Serum level of fibroblast growth factor 21 predicts long-term prognosis in patients with both diabetes mellitus and coronary artery calcification. Ann. Palliat. Med. 9, 368–374 (2020).

    Article  PubMed  Google Scholar 

  329. Chen, H., Lu, N. & Zheng, M. A high circulating FGF21 level as a prognostic marker in patients with acute myocardial infarction. Am. J. Transl. Res. 10, 2958–2966 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  330. Kahles, F. et al. Glucagon-like peptide 1 levels predict cardiovascular risk in patients with acute myocardial infarction. Eur. Heart J. 41, 882–889 (2019).

    Article  Google Scholar 

  331. Hung, W. C. et al. Plasma visfatin levels are associated with major adverse cardiovascular events in patients with acute ST-elevation myocardial infarction. Clin. Invest. Med. 38, E100–E109 (2015).

    Article  CAS  PubMed  Google Scholar 

  332. Zheng, M., Lu, N., Ren, M. & Chen, H. Visfatin associated with major adverse cardiovascular events in patients with acute myocardial infarction. BMC Cardiovasc. Disord. 20, 271 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  333. Tscharre, M. et al. Epicardial adipose tissue and cardiovascular outcome in patients with acute coronary syndrome undergoing percutaneous coronary intervention. Eur. Heart J. Acute Cardiovasc. Care 6, 750–752 (2017).

    PubMed  Google Scholar 

  334. Toya, T. et al. Coronary perivascular epicardial adipose tissue and major adverse cardiovascular events after ST segment-elevation myocardial infarction. Atherosclerosis 302, 27–35 (2020).

    Article  CAS  PubMed  Google Scholar 

  335. Wong, V. W. et al. Long-term clinical outcomes after fatty liver screening in patients undergoing coronary angiogram: a prospective cohort study. Hepatology 63, 754–763 (2016).

    Article  PubMed  Google Scholar 

  336. Fonseca-Correa, J. I. & Correa-Rotter, R. Sodium-glucose cotransporter 2 inhibitors mechanisms of action: a review. Front. Med. 8, 777861 (2021).

    Article  Google Scholar 

  337. Wu, P. et al. Systematic review and meta-analysis of randomized controlled trials on the effect of SGLT2 inhibitor on blood leptin and adiponectin level in patients with type 2 diabetes. Horm. Metab. Res. 51, 487–494 (2019).

    Article  CAS  PubMed  Google Scholar 

  338. Xu, L. et al. SGLT2 inhibition by empagliflozin promotes fat utilization and browning and attenuates inflammation and insulin resistance by polarizing M2 macrophages in diet-induced obese mice. eBioMedicine 20, 137–149 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  339. Yagi, S. et al. Canagliflozin reduces epicardial fat in patients with type 2 diabetes mellitus. Diabetol. Metab. Syndr. 9, 78 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  340. Shaheer, A., Kumar, A., Menon, P., Jallo, M. & Basha, S. Effect of add-on therapy of sodium-glucose cotransporter 2 inhibitors and dipeptidyl peptidase 4 inhibitors on adipokines in type 2 diabetes mellitus. J. Clin. Med. Res. 13, 355–362 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  341. Berezin, A. A., Fushtey, I. M. & Berezin, A. E. The effect of SGLT2 inhibitor dapagliflozin on serum levels of apelin in T2DM patients with heart failure. Biomedicines https://doi.org/10.3390/biomedicines10071751 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  342. Osataphan, S. et al. SGLT2 inhibition reprograms systemic metabolism via FGF21-dependent and -independent mechanisms. JCI Insight https://doi.org/10.1172/jci.insight.123130 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  343. Baigent, C. et al. Impact of diabetes on the effects of sodium glucose co-transporter-2 inhibitors on kidney outcomes: collaborative meta-analysis of large placebo-controlled trials. Lancet 400, 1788–1801 (2022).

    Article  Google Scholar 

  344. Aggarwal, R. et al. Effect of sotagliflozin on major adverse cardiovascular events: a prespecified secondary analysis of the SCORED randomised trial. Lancet Diabetes Endocrinol. 13, 321–332 (2025).

    Article  CAS  PubMed  Google Scholar 

  345. Heidenreich, P. A. et al. 2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation 145, e895–e1032 (2022).

    PubMed  Google Scholar 

  346. McDonagh, T. A. et al. 2023 Focused Update of the 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur. Heart J. 44, 3627–3639 (2023).

    Article  CAS  PubMed  Google Scholar 

  347. Cusi, K. et al. American Association of Clinical Endocrinology Clinical Practice Guideline for the Diagnosis and Management of Nonalcoholic Fatty Liver Disease in Primary Care and Endocrinology Clinical Settings: co-sponsored by the American Association for the Study of Liver Diseases (AASLD). Endocr. Pract. 28, 528–562 (2022).

    Article  PubMed  Google Scholar 

  348. Drucker, D. J. Mechanisms of action and therapeutic application of glucagon-like peptide-1. Cell Metab. 27, 740–756 (2018).

    Article  CAS  PubMed  Google Scholar 

  349. Ghusn, W. et al. Weight loss and cardiovascular disease risk outcomes of semaglutide: a one-year multicentered study. Int. J. Obes. 48, 662–667 (2024).

    Article  CAS  Google Scholar 

  350. Iacobellis, G. & Villasante Fricke, A. C. Effects of semaglutide versus dulaglutide on epicardial fat thickness in subjects with type 2 diabetes and obesity. J. Endocr. Soc. https://doi.org/10.1210/jendso/bvz042 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  351. Niu, S. et al. Semaglutide ameliorates metabolism and hepatic outcomes in an NAFLD mouse model. Front. Endocrinol. 13, 1046130 (2022).

    Article  Google Scholar 

  352. Gu, J. et al. Liraglutide stimulates the β-catenin signaling cascade in mouse epididymal fat tissue. J. Mol. Endocrinol. 69, 343–356 (2022).

    Article  CAS  PubMed  Google Scholar 

  353. Bala, M. et al. In vivo suppression of visfatin by oral glucose uptake: evidence for a novel incretin-like effect by glucagon-like peptide-1 (GLP-1). J. Clin. Endocrinol. Metab. 96, 2493–2501 (2011).

    Article  CAS  PubMed  Google Scholar 

  354. Samson, S. L. et al. Exenatide decreases hepatic fibroblast growth factor 21 resistance in non-alcoholic fatty liver disease in a mouse model of obesity and in a randomised controlled trial. Diabetologia 54, 3093–3100 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  355. Lincoff, A. M. et al. Semaglutide and cardiovascular outcomes in obesity without diabetes. N. Engl. J. Med. 389, 2221–2232 (2023).

    Article  CAS  PubMed  Google Scholar 

  356. Galli, M. et al. Cardiovascular effects and tolerability of GLP-1 receptor agonists: a systematic review and meta-analysis of 99,599 patients. J. Am. Coll. Cardiol. https://doi.org/10.1016/j.jacc.2025.08.027 (2025).

    Article  PubMed  Google Scholar 

  357. Ross, R. Atherosclerosis — an inflammatory disease. N. Engl. J. Med. 340, 115–126 (1999).

    Article  CAS  PubMed  Google Scholar 

  358. Liuzzo, G. et al. The prognostic value of C-reactive protein and serum amyloid a protein in severe unstable angina. N. Engl. J. Med. 331, 417–424 (1994).

    Article  CAS  PubMed  Google Scholar 

  359. Libby, P., Ridker, P. M. & Hansson, G. K. Progress and challenges in translating the biology of atherosclerosis. Nature 473, 317–325 (2011).

    Article  CAS  PubMed  Google Scholar 

  360. Lawler, P. R. et al. Targeting cardiovascular inflammation: next steps in clinical translation. Eur. Heart J. 42, 113–131 (2021).

    Article  CAS  PubMed  Google Scholar 

  361. Toldo, S. & Abbate, A. The role of the NLRP3 inflammasome and pyroptosis in cardiovascular diseases. Nat. Rev. Cardiol. 21, 219–237 (2024).

    Article  CAS  PubMed  Google Scholar 

  362. Ridker, P. M. From C-reactive protein to interleukin-6 to interleukin-1: moving upstream to identify novel targets for atheroprotection. Circ. Res. 118, 145–156 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  363. Seropian, I. M., Sonnino, C., Van Tassell, B. W., Biasucci, L. M. & Abbate, A. Inflammatory markers in ST-elevation acute myocardial infarction. Eur. Heart J. Acute Cardiovasc. Care 5, 382–395 (2016).

    PubMed  Google Scholar 

  364. Pearson, T. A. et al. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation 107, 499–511 (2003).

    Article  PubMed  Google Scholar 

  365. Biasucci, L. M. et al. How to use C-reactive protein in acute coronary care. Eur. Heart J. 34, 3687–3690 (2013).

    Article  PubMed  Google Scholar 

  366. Ridker, P. M. et al. Inflammation and cholesterol as predictors of cardiovascular events among patients receiving statin therapy: a collaborative analysis of three randomised trials. Lancet 401, 1293–1301 (2023).

    Article  CAS  PubMed  Google Scholar 

  367. Ridker, P. M. et al. Inflammation, cholesterol, lipoprotein(a), and 30-year cardiovascular outcomes in women. N. Engl. J. Med. 391, 2087–2097 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  368. Mehta, N. N., deGoma, E. & Shapiro, M. D. IL-6 and cardiovascular risk: a narrative review. Curr. Atheroscler. Rep. 27, 12 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  369. Held, C. et al. Inflammatory biomarkers interleukin-6 and C-reactive protein and outcomes in stable coronary heart disease: experiences from the STABILITY (Stabilization of Atherosclerotic Plaque by Initiation of Darapladib Therapy) trial. J. Am. Heart Assoc. https://doi.org/10.1161/jaha.116.005077 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  370. Kälsch, A. I. et al. Long- and short-term association of low-grade systemic inflammation with cardiovascular mortality in the LURIC study. Clin. Res. Cardiol. 109, 358–373 (2020).

    Article  PubMed  Google Scholar 

  371. Batra, G. et al. Interleukin 6 and cardiovascular outcomes in patients with chronic kidney disease and chronic coronary syndrome. JAMA Cardiol. 6, 1440–1445 (2021).

    Article  PubMed  Google Scholar 

  372. Ridker, P. M. et al. Comparison of interleukin-6, C-reactive protein, and low-density lipoprotein cholesterol as biomarkers of residual risk in contemporary practice: secondary analyses from the cardiovascular inflammation reduction trial. Eur. Heart J. 41, 2952–2961 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  373. Fanola, C. L. et al. Interleukin-6 and the risk of adverse outcomes in patients after an acute coronary syndrome: observations from the SOLID-TIMI 52 (Stabilization of Plaque Using Darapladib-Thrombolysis in Myocardial Infarction 52) trial. J. Am. Heart Assoc. https://doi.org/10.1161/jaha.117.005637 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  374. Pareek, M. et al. Single and multiple cardiovascular biomarkers in subjects without a previous cardiovascular event. Eur. J. Prev. Cardiol. 24, 1648–1659 (2017).

    Article  PubMed  Google Scholar 

  375. Dirjayanto, V. J., Martin-Ruiz, C., Pompei, G., Rubino, F. & Kunadian, V. The association of inflammatory biomarkers and long-term clinical outcomes in older adults with non-ST elevation acute coronary syndrome. Int. J. Cardiol. 409, 132177 (2024).

    Article  PubMed  Google Scholar 

  376. Gager, G. M. et al. Interleukin-6 level is a powerful predictor of long-term cardiovascular mortality in patients with acute coronary syndrome. Vasc. Pharmacol. 135, 106806 (2020).

    Article  CAS  Google Scholar 

  377. Ferreira, J. P., Vasques-Nóvoa, F., Neves, J. S., Zannad, F. & Leite-Moreira, A. Comparison of interleukin-6 and high-sensitivity C-reactive protein for cardiovascular risk assessment: findings from the MESA study. Atherosclerosis 390, 117461 (2024).

    Article  CAS  PubMed  Google Scholar 

  378. Ridker, P. M. et al. Antiinflammatory therapy with canakinumab for atherosclerotic disease. N. Engl. J. Med. 377, 1119–1131 (2017).

    Article  CAS  PubMed  Google Scholar 

  379. Ridker, P. M. et al. Modulation of the interleukin-6 signalling pathway and incidence rates of atherosclerotic events and all-cause mortality: analyses from the Canakinumab Anti-inflammatory Thrombosis Outcomes Study (CANTOS). Eur. Heart J. 39, 3499–3507 (2018).

    Article  CAS  PubMed  Google Scholar 

  380. Toldo, S. et al. Targeting the NLRP3 inflammasome in cardiovascular diseases. Pharmacol. Ther. 236, 108053 (2022).

    Article  CAS  PubMed  Google Scholar 

  381. Mo, D.-G. et al. The effect of NLRP3 inflammasome on cardiovascular prognosis in patients with acute coronary syndrome. Sci. Rep. 15, 1187 (2025).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  382. Afrasyab, A. et al. Correlation of NLRP3 with severity and prognosis of coronary atherosclerosis in acute coronary syndrome patients. Heart Vessels 31, 1218–1229 (2016).

    Article  PubMed  Google Scholar 

  383. Peng, H. et al. Expression and clinical prognostic value of platelet NLRP3 in acute coronary syndrome. Int. J. Gen. Med. 13, 791–802 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  384. Abbate, A. et al. Interleukin-1 and the inflammasome as therapeutic targets in cardiovascular disease. Circ. Res. 126, 1260–1280 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  385. Kilic, T. et al. Relation between proinflammatory to anti-inflammatory cytokine ratios and long-term prognosis in patients with non-ST elevation acute coronary syndrome. Heart 92, 1041–1046 (2006).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  386. Silvain, J. et al. Interleukin-1β and risk of premature death in patients with myocardial infarction. J. Am. Coll. Cardiol. 76, 1763–1773 (2020).

    Article  CAS  PubMed  Google Scholar 

  387. Åkerblom, A. et al. Interleukin-18 in patients with acute coronary syndromes. Clin. Cardiol. 42, 1202–1209 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  388. Chalikias, G. K. et al. Interleukin-18/interleukin-10 ratio is an independent predictor of recurrent coronary events during a 1-year follow-up in patients with acute coronary syndrome. Int. J. Cardiol. 117, 333–339 (2007).

    Article  PubMed  Google Scholar 

  389. Furtado, M. V. et al. Interleukin-18: an independent predictor of cardiovascular events in patients with acute coronary syndrome after 6 months of follow-up. Coron. Artery Dis. 20, 327–331 (2009).

    Article  PubMed  Google Scholar 

  390. Chalikias, G. K. et al. Interleukin-18: interleukin-10 ratio and in-hospital adverse events in patients with acute coronary syndrome. Atherosclerosis 182, 135–143 (2005).

    Article  CAS  PubMed  Google Scholar 

  391. Xiong, C. et al. Prognostic significance of IL-18 in acute coronary syndrome patients. Clin. Cardiol. 47, e24229 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  392. Hartford, M. et al. Interleukin-18 as a predictor of future events in patients with acute coronary syndromes. Arterioscler. Thromb. Vasc. Biol. 30, 2039–2046 (2010).

    Article  CAS  PubMed  Google Scholar 

  393. Ueland, T. et al. Plasma levels of soluble tumor necrosis factor receptor type I during the acute phase following complicated myocardial infarction predicts survival in high-risk patients. J. Am. Coll. Cardiol. 46, 2018–2021 (2005).

    Article  CAS  PubMed  Google Scholar 

  394. Valgimigli, M. et al. Tumor necrosis factor-α receptor 1 is a major predictor of mortality and new-onset heart failure in patients with acute myocardial infarction: the Cytokine-Activation and Long-Term Prognosis in Myocardial Infarction (C-ALPHA) study. Circulation 111, 863–870 (2005).

    Article  CAS  PubMed  Google Scholar 

  395. Befekadu, R., Grenegård, M., Larsson, A., Christensen, K. & Ramström, S. Levels of soluble tumor necrosis factor receptor 1 and 2 are associated with survival after ST segment elevation myocardial infarction. Sci. Rep. 12, 14762 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  396. Paccalet, A. et al. Serum soluble tumor necrosis factor receptors 1 and 2 are early prognosis markers after ST-segment elevation myocardial infarction. Front. Pharmacol. 12, 656928 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  397. Valgimigli, M. et al. Tumor necrosis factor-α receptor 1 is a major predictor of mortality and new-onset heart failure in patients with acute myocardial infarction. Circulation 111, 863–870 (2005).

    Article  CAS  PubMed  Google Scholar 

  398. Pan, K. et al. Soluble interleukin-2 receptor combined with interleukin-8 is a powerful predictor of future adverse cardiovascular events in patients with acute myocardial infarction. Front. Cardiovasc. Med. 10, 1110742 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  399. Ridker, P. M. et al. Elevation of tumor necrosis factor-α and increased risk of recurrent coronary events after myocardial infarction. Circulation 101, 2149–2153 (2000).

    Article  CAS  PubMed  Google Scholar 

  400. Pascual-Figal, D. A. & Januzzi, J. L. The biology of ST2: the International ST2 Consensus Panel. Am. J. Cardiol. 115, 3B–7B (2015).

    Article  CAS  PubMed  Google Scholar 

  401. Li, M. et al. Prognostic value of soluble suppression of tumorigenesis-2 (sST2) for cardiovascular events in coronary artery disease patients with and without diabetes mellitus. Cardiovasc. Diabetol. 20, 49 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  402. Dieplinger, B. et al. Increased soluble ST2 predicts long-term mortality in patients with stable coronary artery disease: results from the Ludwigshafen Risk and Cardiovascular Health Study. Clin. Chem. 60, 530–540 (2014).

    Article  CAS  PubMed  Google Scholar 

  403. Jha, D. et al. Prognostic role of soluble ST2 in acute coronary syndrome with diabetes. Eur. J. Clin. Invest. 48, e12994 (2018).

    Article  PubMed  Google Scholar 

  404. Somuncu, M. U. et al. Predicting long-term cardiovascular outcomes of patients with acute myocardial infarction using soluble ST2. Horm. Mol. Biol. Clin. Investig. https://doi.org/10.1515/hmbci-2019-0062 (2020).

    Article  PubMed  Google Scholar 

  405. van den Berg, V. J. et al. Persistently elevated levels of sST2 after acute coronary syndrome are associated with recurrent cardiac events. Biomarkers 27, 264–269 (2022).

    Article  PubMed  Google Scholar 

  406. Dhillon, O. S. et al. Pre-discharge risk stratification in unselected STEMI: is there a role for ST2 or its natural ligand IL-33 when compared with contemporary risk markers? Int. J. Cardiol. 167, 2182–2188 (2013).

    Article  PubMed  Google Scholar 

  407. Demyanets, S. et al. Soluble ST2 and interleukin-33 levels in coronary artery disease: relation to disease activity and adverse outcome. PLoS ONE 9, e95055 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  408. Shimpo, M. et al. Serum levels of the interleukin-1 receptor family member ST2 predict mortality and clinical outcome in acute myocardial infarction. Circulation 109, 2186–2190 (2004).

    Article  CAS  PubMed  Google Scholar 

  409. Sabatine, M. S. et al. Complementary roles for biomarkers of biomechanical strain ST2 and N-terminal prohormone B-type natriuretic peptide in patients with ST-elevation myocardial infarction. Circulation 117, 1936–1944 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  410. Aldous, S. J., Richards, A. M., Troughton, R. & Than, M. ST2 has diagnostic and prognostic utility for all-cause mortality and heart failure in patients presenting to the emergency department with chest pain. J. Card. Fail. 18, 304–310 (2012).

    Article  CAS  PubMed  Google Scholar 

  411. Yu, J. et al. Improved early risk stratification of patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention using a combination of serum soluble ST2 and NT-proBNP. PLoS ONE 12, e0182829 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  412. Girndt, M. & Köhler, H. Interleukin-10 (IL-10): an update on its relevance for cardiovascular risk. Nephrol. Dial. Transplant. 18, 1976–1979 (2003).

    Article  CAS  PubMed  Google Scholar 

  413. Zhang, D. F. et al. Prognostic performance of interleukin-10 in patients with chest pain and mild to moderate coronary artery lesions — an 8-year follow-up study. J. Geriatr. Cardiol. 13, 244–251 (2016).

    PubMed  PubMed Central  Google Scholar 

  414. Cavusoglu, E. et al. Plasma interleukin-10 levels and adverse outcomes in acute coronary syndrome. Am. J. Med. 124, 724–730 (2011).

    Article  CAS  PubMed  Google Scholar 

  415. Heeschen, C. et al. Serum level of the antiinflammatory cytokine interleukin-10 is an important prognostic determinant in patients with acute coronary syndromes. Circulation 107, 2109–2114 (2003).

    Article  CAS  PubMed  Google Scholar 

  416. Mälarstig, A. et al. Raised interleukin-10 is an indicator of poor outcome and enhanced systemic inflammation in patients with acute coronary syndrome. Heart 94, 724–729 (2008).

    Article  PubMed  Google Scholar 

  417. Mallat, Z. et al. Circulating secretory phospholipase A2 activity predicts recurrent events in patients with severe acute coronary syndromes. J. Am. Coll. Cardiology 46, 1249–1257 (2005).

    Article  CAS  Google Scholar 

  418. Hartford, M. et al. CRP, interleukin-6, secretory phospholipase A2 group IIA, and intercellular adhesion molecule-1 during the early phase of acute coronary syndromes and long-term follow-up. Int. J. Cardiol. 108, 55–62 (2006).

    Article  PubMed  Google Scholar 

  419. Kugiyama, K. et al. Prognostic value of plasma levels of secretory type II phospholipase A2 in patients with unstable angina pectoris. Am. J. Cardiol. 86, 718–722 (2000).

    Article  CAS  PubMed  Google Scholar 

  420. Kugiyama, K. et al. Circulating levels of secretory type II phospholipase A(2) predict coronary events in patients with coronary artery disease. Circulation 100, 1280–1284 (1999).

    Article  CAS  PubMed  Google Scholar 

  421. Hartford, M. et al. C-Reactive protein, interleukin-6, secretory phospholipase A2 group IIA and intercellular adhesion molecule-1 in the prediction of late outcome events after acute coronary syndromes. J. Intern. Med. 262, 526–536 (2007).

    Article  CAS  PubMed  Google Scholar 

  422. Liu, P. Y. et al. Prognostic value and the changes of plasma levels of secretory type II phospholipase A2 in patients with coronary artery disease undergoing percutaneous coronary intervention. Eur. Heart J. 24, 1824–1832 (2003).

    Article  CAS  PubMed  Google Scholar 

  423. Cavusoglu, E. et al. Elevated baseline plasma IL-8 levels are an independent predictor of long-term all-cause mortality in patients with acute coronary syndrome. Atherosclerosis 242, 589–594 (2015).

    Article  CAS  PubMed  Google Scholar 

  424. Kristono, G. A. et al. An IL-6-IL-8 score derived from principal component analysis is predictive of adverse outcome in acute myocardial infarction. Cytokine X 2, 100037 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  425. Wadwa, R. P. et al. Soluble interleukin-2 receptor as a marker for progression of coronary artery calcification in type 1 diabetes. Int. J. Biochem. Cell Biol. 38, 996–1003 (2006).

    Article  CAS  PubMed  Google Scholar 

  426. Liu, S.-F. et al. Association of soluble IL-1 receptor type 2 with recovery of left ventricular function and clinical outcomes in acute myocardial infarction. Rev. Cardiovasc. Med. https://doi.org/10.31083/j.rcm2311372 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  427. Nidorf, S. M., Eikelboom, J. W., Budgeon, C. A. & Thompson, P. L. Low-dose colchicine for secondary prevention of cardiovascular disease. J. Am. Coll. Cardiol. 61, 404–410 (2013).

    Article  CAS  PubMed  Google Scholar 

  428. Nidorf, S. M. et al. Colchicine in patients with chronic coronary disease. N. Engl. J. Med. 383, 1838–1847 (2020).

    Article  CAS  PubMed  Google Scholar 

  429. Tardif, J. C. et al. Efficacy and safety of low-dose colchicine after myocardial infarction. N. Engl. J. Med. 381, 2497–2505 (2019).

    Article  CAS  PubMed  Google Scholar 

  430. Tong, D. C. et al. Colchicine in Patients with Acute Coronary Syndrome: the Australian COPS randomized clinical trial. Circulation 142, 1890–1900 (2020).

    Article  PubMed  Google Scholar 

  431. Deftereos, S. et al. Colchicine treatment for the prevention of bare-metal stent restenosis in diabetic patients. J. Am. Coll. Cardiol. 61, 1679–1685 (2013).

    Article  CAS  PubMed  Google Scholar 

  432. Fiolet, A. T. L. et al. Efficacy and safety of low-dose colchicine in patients with coronary disease: a systematic review and meta-analysis of randomized trials. Eur. Heart J. 42, 2765–2775 (2021).

    Article  CAS  PubMed  Google Scholar 

  433. Jolly, S. S. et al. Colchicine in acute myocardial infarction. N. Engl. J. Med. https://doi.org/10.1056/NEJMoa2405922 (2025).

  434. Laudani, C., Abbate, A., Angiolillo, D. J. & Galli, M. CLEAR results, cloudy impact: colchicine’s neutral role in ST-segment elevation myocardial infarction. Eur. Heart J. Cardiovasc. Pharmacother. https://doi.org/10.1093/ehjcvp/pvaf011 (2025).

    Article  PubMed  PubMed Central  Google Scholar 

  435. Solomon, D. H. et al. Relationship of interleukin-1β blockade with incident gout and serum uric acid levels: exploratory analysis of a randomized controlled trial. Ann. Intern. Med. 169, 535–542 (2018).

    Article  PubMed  Google Scholar 

  436. Schieker, M. et al. Effects of interleukin-1β inhibition on incident hip and knee replacement: exploratory analyses from a randomized, double-blind, placebo-controlled trial. Ann. Intern. Med. 173, 509–515 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  437. Ridker, P. M. et al. Low-dose methotrexate for the prevention of atherosclerotic events. N. Engl. J. Med. 380, 752–762 (2019).

    Article  CAS  PubMed  Google Scholar 

  438. O’Donoghue, M. L. et al. Effect of darapladib on major coronary events after an acute coronary syndrome: the SOLID-TIMI 52 randomized clinical trial. JAMA 312, 1006–1015 (2014).

    Article  PubMed  Google Scholar 

  439. The STABILITY Investigators. Darapladib for preventing ischemic events in stable coronary heart disease. N. Engl. J. Med. 370, 1702–1711 (2014).

    Article  Google Scholar 

  440. Cavender, M. A. et al. Inhibition of p38 MAP kinase in patients with ST-elevation myocardial infarction — findings from the LATITUDE-TIMI 60 trial. Am. Heart J. 243, 147–157 (2022).

    Article  CAS  PubMed  Google Scholar 

  441. Xie, S. et al. Effect of lipid-lowering therapies on C-reactive protein levels: a comprehensive meta-analysis of randomized controlled trials. Cardiovas. Res. 120, 333–344 (2024).

    Article  CAS  Google Scholar 

  442. Ridker, P. M. et al. IL-6 inhibition with ziltivekimab in patients at high atherosclerotic risk (RESCUE): a double-blind, randomised, placebo-controlled, phase 2 trial. Lancet 397, 2060–2069 (2021).

    Article  CAS  PubMed  Google Scholar 

  443. Galli, M., Gurgoglione, F. L., Sciarretta, S. & Abbate, A. Inhibition of interleukin-1 or -6 after myocardial infarction: pros, cons, and future perspectives. Eur. Heart J. Cardiovasc. Pharmacother. https://doi.org/10.1093/ehjcvp/pvaf022 (2025).

    Article  PubMed  PubMed Central  Google Scholar 

  444. Andersson, C., Johnson, A. D., Benjamin, E. J., Levy, D. & Vasan, R. S. 70-year legacy of the Framingham Heart Study. Nat. Rev. Cardiol. 16, 687–698 (2019).

    Article  PubMed  Google Scholar 

  445. Montone, R. A. et al. Exposome in ischaemic heart disease: beyond traditional risk factors. Eur. Heart J. 45, 419–438 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  446. Figtree, G. A. et al. Mortality in STEMI patients without standard modifiable risk factors: a sex-disaggregated analysis of SWEDEHEART registry data. Lancet 397, 1085–1094 (2021).

    Article  CAS  PubMed  Google Scholar 

  447. Lelieveld, J. et al. Loss of life expectancy from air pollution compared to other risk factors: a worldwide perspective. Cardiovasc. Res. 116, 1910–1917 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  448. Rajagopalan, S. & Landrigan, P. J. Pollution and the heart. N. Engl. J. Med. 385, 1881–1892 (2021).

    Article  CAS  PubMed  Google Scholar 

  449. Rinaldi, R. et al. Short-term air pollution exposure and mechanisms of plaque instability in acute coronary syndromes: an optical coherence tomography study. Atherosclerosis 390, 117393 (2024).

    Article  CAS  PubMed  Google Scholar 

  450. Montone, R. A. et al. Air pollution and coronary plaque vulnerability and instability: an optical coherence tomography study. JACC Cardiovasc. Imaging 15, 325–342 (2022).

    Article  PubMed  Google Scholar 

  451. Li, J. et al. Ambient air pollution is associated with HDL (high-density lipoprotein) dysfunction in healthy adults. Arterioscler. Thromb. Vasc. Biol. 39, 513–522 (2019).

    Article  CAS  PubMed  Google Scholar 

  452. Abohashem, S. et al. A leucopoietic-arterial axis underlying the link between ambient air pollution and cardiovascular disease in humans. Eur. Heart J. 42, 761–772 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  453. Camilli, M. et al. Air pollution and coronary vasomotor disorders in patients with myocardial ischemia and unobstructed coronary arteries. J. Am. Coll. Cardiol. 80, 1818–1828 (2022).

    Article  PubMed  Google Scholar 

  454. Cai, Y. et al. Associations of short-term and long-term exposure to ambient air pollutants with hypertension: a systematic review and meta-analysis. Hypertension 68, 62–70 (2016).

    Article  CAS  PubMed  Google Scholar 

  455. Alahmad, B. et al. Associations between extreme temperatures and cardiovascular cause-specific mortality: results from 27 countries. Circulation 147, 35–46 (2023).

    Article  PubMed  Google Scholar 

  456. Xu, R. et al. Extreme temperature events, fine particulate matter, and myocardial infarction mortality. Circulation 148, 312–323 (2023).

    Article  PubMed  Google Scholar 

  457. Sun, S. et al. Outdoor light at night and risk of coronary heart disease among older adults: a prospective cohort study. Eur. Heart J. 42, 822–830 (2021).

    Article  PubMed  Google Scholar 

  458. Crnko, S., Du Pré, B. C., Sluijter, J. P. G. & Van Laake, L. W. Circadian rhythms and the molecular clock in cardiovascular biology and disease. Nat. Rev. Cardiol. 16, 437–447 (2019).

    Article  PubMed  Google Scholar 

  459. Saucy, A. et al. Does night-time aircraft noise trigger mortality? A case-crossover study on 24 886 cardiovascular deaths. Eur. Heart J. 42, 835–843 (2021).

    Article  CAS  PubMed  Google Scholar 

  460. Hare, D. L., Toukhsati, S. R., Johansson, P. & Jaarsma, T. Depression and cardiovascular disease: a clinical review. Eur. Heart J. 35, 1365–1372 (2013).

    Article  PubMed  Google Scholar 

  461. El Baou, C. et al. Psychological therapies for depression and cardiovascular risk: evidence from national healthcare records in England. Eur. Heart J. 44, 1650–1662 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  462. Jaspan, V. N. et al. The role of sleep in cardiovascular disease. Curr. Atheroscler. Rep. 26, 249–262 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  463. Oren, O., Small, A. M. & Libby, P. Clonal hematopoiesis and atherosclerosis. J. Clin. Invest. https://doi.org/10.1172/JCI180066 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  464. Jaiswal, S. et al. Clonal hematopoiesis and risk of atherosclerotic cardiovascular disease. N. Engl. J. Med. 377, 111–121 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  465. Singh, J. et al. Clonal hematopoiesis of indeterminate potential as a prognostic factor: a systematic review and meta-analysis. Blood Adv. 8, 3771–3784 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  466. Bick, A. G. et al. Inherited causes of clonal haematopoiesis in 97,691 whole genomes. Nature 586, 763–768 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  467. Jiang, Z. et al. Clonal hematopoiesis of indeterminate potential in patients with acute coronary syndrome undergoing percutaneous coronary intervention in the absence of traditional risk factors. Clin. Res. Cardiol. 112, 506–517 (2023).

    Article  CAS  PubMed  Google Scholar 

  468. Svensson, E. C. et al. TET2-driven clonal hematopoiesis and response to canakinumab: an exploratory analysis of the CANTOS randomized clinical trial. JAMA Cardiol. 7, 521–528 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  469. Zuriaga, M. A. et al. Colchicine prevents accelerated atherosclerosis in TET2-mutant clonal haematopoiesis. Eur. Heart J. https://doi.org/10.1093/eurheartj/ehae546 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  470. Violi, F. et al. Gut-derived low-grade endotoxaemia, atherothrombosis and cardiovascular disease. Nat. Rev. Cardiol. 20, 24–37 (2023).

    Article  PubMed  Google Scholar 

  471. Carnevale, R. et al. Low-grade endotoxaemia enhances artery thrombus growth via Toll-like receptor 4: implication for myocardial infarction. Eur. Heart J. 41, 3156–3165 (2020).

    Article  CAS  PubMed  Google Scholar 

  472. den Dekker, W. K., Cheng, C., Pasterkamp, G. & Duckers, H. J. Toll like receptor 4 in atherosclerosis and plaque destabilization. Atherosclerosis 209, 314–320 (2010).

    Article  Google Scholar 

  473. Schiattarella, G. G. et al. Gut microbe-generated metabolite trimethylamine-N-oxide as cardiovascular risk biomarker: a systematic review and dose-response meta-analysis. Eur. Heart J. 38, 2948–2956 (2017).

    Article  CAS  PubMed  Google Scholar 

  474. Gencer, B. et al. Gut microbiota-dependent trimethylamine N-oxide and cardiovascular outcomes in patients with prior myocardial infarction: a nested case control study from the PEGASUS-TIMI 54 trial. J. Am. Heart Assoc. 9, e015331 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  475. Li, N. et al. Association between trimethylamine N-oxide and prognosis of patients with acute myocardial infarction and heart failure. ESC Heart Fail. 9, 3846–3857 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  476. Yao, M. E., Liao, P. D., Zhao, X. J. & Wang, L. Trimethylamine-N-oxide has prognostic value in coronary heart disease: a meta-analysis and dose-response analysis. BMC Cardiovasc. Disord. 20, 7 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  477. Aleksova, A. et al. Intra-hospital variation of gut microbiota product, trimethylamine N-oxide (TMAO), predicts future major adverse cardiovascular events after myocardial infarction. Hell. J. Cardiol. https://doi.org/10.1016/j.hjc.2024.05.007 (2024).

    Article  Google Scholar 

  478. Li, N. et al. Association between the changes in trimethylamine N-oxide-related metabolites and prognosis of patients with acute myocardial infarction: a prospective study. J. Cardiovasc. Dev. Dis. https://doi.org/10.3390/jcdd9110380 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  479. Guerville, M. et al. Western-diet consumption induces alteration of barrier function mechanisms in the ileum that correlates with metabolic endotoxemia in rats. Am. J. Physiol. Endocrinol. Metab. 313, E107–E120 (2017).

    Article  PubMed  Google Scholar 

  480. De Filippis, F. et al. High-level adherence to a Mediterranean diet beneficially impacts the gut microbiota and associated metabolome. Gut 65, 1812–1821 (2016).

    Article  PubMed  Google Scholar 

  481. Sciarretta, S., Maejima, Y., Zablocki, D. & Sadoshima, J. The role of autophagy in the heart. Annu. Rev. Physiol. 80, 1–26 (2018).

    Article  CAS  PubMed  Google Scholar 

  482. Kong, M. G., Suh, J., Cho, Y. H., Lee, N. H. & Park, H. W. Autophagy biomarkers in patients with acute myocardial infarction. Eur. Heart J. https://doi.org/10.1093/eurheartj/ehac544.1276 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  483. Galluzzi, L. et al. Molecular definitions of autophagy and related processes. EMBO J. 36, 1811–1836 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  484. Klionsky, D. J. et al. Autophagy in major human diseases. EMBO J. 40, e108863 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  485. Matsui, Y. et al. Distinct roles of autophagy in the heart during ischemia and reperfusion: roles of AMP-activated protein kinase and Beclin 1 in mediating autophagy. Circ. Res. 100, 914–922 (2007).

    Article  CAS  PubMed  Google Scholar 

  486. Sciarretta, S. et al. Rheb is a critical regulator of autophagy during myocardial ischemia: pathophysiological implications in obesity and metabolic syndrome. Circulation 125, 1134–1146 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  487. Razani, B. et al. Autophagy links inflammasomes to atherosclerotic progression. Cell Metab. 15, 534–544 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  488. Ouimet, M. et al. Autophagy regulates cholesterol efflux from macrophage foam cells via lysosomal acid lipase. Cell Metab. 13, 655–667 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  489. Osonoi, Y. et al. Defective autophagy in vascular smooth muscle cells enhances cell death and atherosclerosis. Autophagy 14, 1991–2006 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  490. Vion, A. C. et al. Autophagy is required for endothelial cell alignment and atheroprotection under physiological blood flow. Proc. Natl Acad. Sci. USA 114, E8675–E8684 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  491. Forte, M. et al. Mitophagy modulation for the treatment of cardiovascular diseases. Eur. J. Clin. Invest. 54, e14199 (2024).

    Article  CAS  PubMed  Google Scholar 

  492. Shirakabe, A. et al. Drp1-dependent mitochondrial autophagy plays a protective role against pressure overload-induced mitochondrial dysfunction and heart failure. Circulation 133, 1249–1263 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  493. Oka, T. et al. Mitochondrial DNA that escapes from autophagy causes inflammation and heart failure. Nature 485, 251–255 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  494. Ikeda, Y. et al. Endogenous Drp1 mediates mitochondrial autophagy and protects the heart against energy stress. Circ. Res. 116, 264–278 (2015).

    Article  CAS  PubMed  Google Scholar 

  495. Zhang, X. et al. High-protein diets increase cardiovascular risk by activating macrophage mTOR to suppress mitophagy. Nat. Metab. 2, 110–125 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  496. Swiader, A. et al. Mitophagy acts as a safeguard mechanism against human vascular smooth muscle cell apoptosis induced by atherogenic lipids. Oncotarget 7, 28821–28835 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  497. Wu, W. et al. PINK1-parkin-mediated mitophagy protects mitochondrial integrity and prevents metabolic stress-induced endothelial injury. PLoS ONE 10, e0132499 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  498. Sciarretta, S. et al. Caloric restriction mimetics for the treatment of cardiovascular diseases. Cardiovasc. Res. 117, 1434–1449 (2021).

    Article  CAS  PubMed  Google Scholar 

  499. Sciarretta, S. et al. Trehalose-induced activation of autophagy improves cardiac remodeling after myocardial infarction. J. Am. Coll. Cardiol. 71, 1999–2010 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  500. Saito, T. et al. An alternative mitophagy pathway mediated by Rab9 protects the heart against ischemia. J. Clin. Invest. 129, 802–819 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  501. Eisenberg, T. et al. Cardioprotection and lifespan extension by the natural polyamine spermidine. Nat. Med. 22, 1428–1438 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  502. Carnevale, R. et al. Beneficial effects of a combination of natural product activators of autophagy on endothelial cells and platelets. Br. J. Pharmacol. 178, 2146–2159 (2021).

    Article  CAS  PubMed  Google Scholar 

  503. Raffa, S. et al. Atrial natriuretic peptide stimulates autophagy/mitophagy and improves mitochondrial function in chronic heart failure. Cell Mol. Life Sci. 80, 134 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  504. Packer, M. Autophagy stimulation and intracellular sodium reduction as mediators of the cardioprotective effect of sodium-glucose cotransporter 2 inhibitors. Eur. J. Heart Fail. 22, 618–628 (2020).

    Article  CAS  PubMed  Google Scholar 

  505. Colpaert, R. M. W. & Calore, M. MicroRNAs in cardiac diseases. Cells https://doi.org/10.3390/cells8070737 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  506. Karakas, M. et al. Circulating microRNAs strongly predict cardiovascular death in patients with coronary artery disease — results from the large AtheroGene study. Eur. Heart J. 38, 516–523 (2017).

    CAS  PubMed  Google Scholar 

  507. Schulte, C. et al. miRNA-197 and miRNA-223 predict cardiovascular death in a cohort of patients with symptomatic coronary artery disease. PLoS ONE 10, e0145930 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  508. Lv, P. et al. Circulating miR-208b and miR-34a are associated with left ventricular remodeling after acute myocardial infarction. Int. J. Mol. Sci. 15, 5774–5788 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  509. Jansen, F. et al. MicroRNA expression in circulating microvesicles predicts cardiovascular events in patients with coronary artery disease. J. Am. Heart Assoc. 3, e001249 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  510. He, F. et al. Predictive value of circulating miR-328 and miR-134 for acute myocardial infarction. Mol. Cell Biochem. 394, 137–144 (2014).

    Article  CAS  PubMed  Google Scholar 

  511. Hromádka, M. et al. Prognostic value of microRNAs in patients after myocardial infarction: a substudy of PRAGUE-18. Dis. Markers 2019, 2925019 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  512. Matsumoto, S. et al. A subset of circulating microRNAs are predictive for cardiac death after discharge for acute myocardial infarction. Biochem. Biophys. Res. Commun. 427, 280–284 (2012).

    Article  CAS  PubMed  Google Scholar 

  513. Dong, Y. M. et al. Prediction of long-term outcome after acute myocardial infarction using circulating miR-145. Scand. J. Clin. Lab. Invest. 75, 85–91 (2015).

    Article  CAS  PubMed  Google Scholar 

  514. Rincón, L. M. et al. Serum microRNAs are key predictors of long-term heart failure and cardiovascular death after myocardial infarction. ESC Heart Fail. 9, 3367–3379 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  515. Yang, X. et al. Circulating miRNAs related to long-term adverse cardiovascular events in STEMI patients: a nested case-control study. Can. J. Cardiol. 37, 77–85 (2021).

    PubMed  Google Scholar 

  516. Klarin, D. & Natarajan, P. Clinical utility of polygenic risk scores for coronary artery disease. Nat. Rev. Cardiol. 19, 291–301 (2022).

    Article  PubMed  Google Scholar 

  517. Samani, N. J. et al. Polygenic risk score adds to a clinical risk score in the prediction of cardiovascular disease in a clinical setting. Eur. Heart J. 45, 3152–3160 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  518. Levin, M. G. et al. Genomic risk stratification predicts all-cause mortality after cardiac catheterization. Circ. Genom. Precis. Med. 11, e002352 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  519. Damask, A. et al. Patients with high genome-wide polygenic risk scores for coronary artery disease may receive greater clinical benefit from alirocumab treatment in the ODYSSEY outcomes trial. Circulation 141, 624–636 (2020).

    Article  PubMed  Google Scholar 

  520. Carra, M. C., Rangé, H., Caligiuri, G. & Bouchard, P. Periodontitis and atherosclerotic cardiovascular disease: a critical appraisal. Periodontology 2000 https://doi.org/10.1111/prd.12528 (2023).

  521. Pothineni, N. V. K. et al. Infections, atherosclerosis, and coronary heart disease. Eur. Heart J. 38, 3195–3201 (2017).

    Article  CAS  PubMed  Google Scholar 

  522. Porsch, F. & Binder, C. J. Autoimmune diseases and atherosclerotic cardiovascular disease. Nat. Rev. Cardiol. 21, 780–807 (2024).

    Article  PubMed  Google Scholar 

  523. Raisi-Estabragh, Z. et al. Incident cardiovascular events and imaging phenotypes in UK Biobank participants with past cancer. Heart 109, 1007–1015 (2023).

    Article  PubMed  Google Scholar 

  524. Baade, P. D., Fritschi, L. & Eakin, E. G. Non-cancer mortality among people diagnosed with cancer (Australia). Cancer Causes Control 17, 287–297 (2006).

    PubMed  Google Scholar 

  525. Blaes, A. et al. Cardiovascular considerations after cancer therapy. JACC CardioOncol. 7, 1–19 (2025).

    Article  PubMed  PubMed Central  Google Scholar 

  526. Nurmohamed, N. S. et al. Targeted proteomics improves cardiovascular risk prediction in secondary prevention. Eur. Heart J. 43, 1569–1577 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  527. Pekayvaz, K. et al. Multiomic analyses uncover immunological signatures in acute and chronic coronary syndromes. Nat. Med. 30, 1696–1710 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  528. Park, S.-J. et al. Duration of dual antiplatelet therapy after implantation of drug-eluting stents. N. Engl. J. Med. 362, 1374–1382 (2010).

    Article  CAS  PubMed  Google Scholar 

  529. Franzone, A. et al. Prolonged vs short duration of dual antiplatelet therapy after percutaneous coronary intervention in patients with or without peripheral arterial disease: a subgroup analysis of the PRODIGY randomized clinical trial. JAMA Cardiol. 1, 795–803 (2016).

    Article  PubMed  Google Scholar 

  530. Collet, J. P. et al. Dual-antiplatelet treatment beyond 1 year after drug-eluting stent implantation (ARCTIC-Interruption): a randomised trial. Lancet 384, 1577–1585 (2014).

    Article  CAS  PubMed  Google Scholar 

  531. Gilard, M. et al. 6- versus 24-month dual antiplatelet therapy after implantation of drug-eluting stents in patients nonresistant to aspirin: the randomized, multicenter ITALIC trial. J. Am. Coll. Cardiol. 65, 777–786 (2015).

    Article  CAS  PubMed  Google Scholar 

  532. Helft, G. et al. Stopping or continuing clopidogrel 12 months after drug-eluting stent placement: the OPTIDUAL randomized trial. Eur. Heart J. 37, 365–374 (2016).

    CAS  PubMed  Google Scholar 

  533. Steg, P. G. et al. Ticagrelor in patients with stable coronary disease and diabetes. N. Engl. J. Med. 381, 1309–1320 (2019).

    Article  CAS  PubMed  Google Scholar 

  534. CAPRIE Steering Committee. A randomised, blinded, trial of clopidogrel versus aspirin in patients at risk of ischaemic events (CAPRIE). Lancet 348, 1329–1339 (1996).

    Article  Google Scholar 

  535. Woodward, M., Lowe, G. D., Francis, L. M., Rumley, A. & Cobbe, S. M. A randomized comparison of the effects of aspirin and clopidogrel on thrombotic risk factors and C-reactive protein following myocardial infarction: the CADET trial. J. Thromb. Haemost. 2, 1934–1940 (2004).

    Article  CAS  PubMed  Google Scholar 

  536. Koo, B.-K. et al. Aspirin versus clopidogrel for chronic maintenance monotherapy after percutaneous coronary intervention (HOST-EXAM): an investigator-initiated, prospective, randomised, open-label, multicentre trial. Lancet 397, 2487–2496 (2021).

    Article  CAS  PubMed  Google Scholar 

  537. Watanabe, H. et al. Clopidogrel vs aspirin monotherapy beyond 1 year after percutaneous coronary intervention. JACC 83, 17–31 (2024).

    Article  CAS  PubMed  Google Scholar 

  538. Watanabe, H. et al. Aspirin vs. clopidogrel monotherapy after percutaneous coronary intervention: 1-year follow-up of the STOPDAPT-3 trial. Eur. Heart J. 45, 5042–5054 (2024).

    Article  CAS  PubMed  Google Scholar 

  539. Notarangelo, F. M. et al. Pharmacogenomic approach to selecting antiplatelet therapy in patients with acute coronary syndromes: the PHARMCLO trial. J. Am. Coll. Cardiol. 71, 1869–1877 (2018).

    Article  CAS  PubMed  Google Scholar 

  540. Sibbing, D. et al. Guided de-escalation of antiplatelet treatment in patients with acute coronary syndrome undergoing percutaneous coronary intervention (TROPICAL-ACS): a randomised, open-label, multicentre trial. Lancet 390, 1747–1757 (2017).

    Article  CAS  PubMed  Google Scholar 

  541. Fulcher, J. et al. Efficacy and safety of LDL-lowering therapy among men and women: meta-analysis of individual data from 174,000 participants in 27 randomised trials. Lancet 385, 1397–1405 (2015).

    Article  PubMed  Google Scholar 

  542. Nissen, S. E. et al. Bempedoic acid and cardiovascular outcomes in statin-intolerant patients. N. Engl. J. Med. 388, 1353–1364 (2023).

    Article  PubMed  Google Scholar 

  543. Wiviott, S. D. et al. Dapagliflozin and cardiovascular outcomes in type 2 diabetes. N. Engl. J. Med. 380, 347–357 (2019).

    Article  CAS  PubMed  Google Scholar 

  544. Zinman, B. et al. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N. Engl. J. Med. 373, 2117–2128 (2015).

    Article  CAS  PubMed  Google Scholar 

  545. Neal, B. et al. Rationale, design and baseline characteristics of the CANagliflozin cardioVascular Assessment Study-Renal (CANVAS-R): a randomized, placebo-controlled trial. Diabetes Obes. Metab. 19, 387–393 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  546. Cannon, C. P. et al. Cardiovascular outcomes with ertugliflozin in type 2 diabetes. N. Engl. J. Med. 383, 1425–1435 (2020).

    Article  CAS  PubMed  Google Scholar 

  547. Anker, S. D. et al. Empagliflozin in heart failure with a preserved ejection fraction. N. Engl. J. Med. 385, 1451–1461 (2021).

    Article  CAS  PubMed  Google Scholar 

  548. Solomon, S. D. et al. Dapagliflozin in heart failure with mildly reduced or preserved ejection fraction. N. Engl. J. Med. 387, 1089–1098 (2022).

    Article  PubMed  Google Scholar 

  549. McMurray, J. J. V. et al. Dapagliflozin in patients with heart failure and reduced ejection fraction. N. Engl. J. Med. 381, 1995–2008 (2019).

    Article  CAS  PubMed  Google Scholar 

  550. Packer, M. et al. Cardiovascular and renal outcomes with empagliflozin in heart failure. N. Engl. J. Med. 383, 1413–1424 (2020).

    Article  CAS  PubMed  Google Scholar 

  551. Packer, M. et al. Tirzepatide for heart failure with preserved ejection fraction and obesity. N. Engl. J. Med. 392, 427–437 (2025).

    Article  CAS  PubMed  Google Scholar 

  552. Gerstein, H. C. et al. Dulaglutide and cardiovascular outcomes in type 2 diabetes (REWIND): a double-blind, randomised placebo-controlled trial. Lancet 394, 121–130 (2019).

    Article  CAS  PubMed  Google Scholar 

  553. Gerstein, H. C. et al. Cardiovascular and renal outcomes with efpeglenatide in type 2 diabetes. N. Engl. J. Med. 385, 896–907 (2021).

    Article  CAS  PubMed  Google Scholar 

  554. Perkovic, V. et al. Effects of semaglutide on chronic kidney disease in patients with type 2 diabetes. N. Engl. J. Med. 391, 109–121 (2024).

    Article  CAS  PubMed  Google Scholar 

  555. Marso, S. P. et al. Semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N. Engl. J. Med. 375, 1834–1844 (2016).

    Article  CAS  PubMed  Google Scholar 

  556. Kosiborod, M. N. et al. Semaglutide in patients with heart failure with preserved ejection fraction and obesity. N. Engl. J. Med. 389, 1069–1084 (2023).

    Article  CAS  PubMed  Google Scholar 

  557. Husain, M. et al. Oral semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N. Engl. J. Med. 381, 841–851 (2019).

    Article  CAS  PubMed  Google Scholar 

  558. Holman, R. R. et al. Effects of once-weekly exenatide on cardiovascular outcomes in type 2 diabetes. N. Engl. J. Med. 377, 1228–1239 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  559. The GRADE Study Research Group. Glycemia reduction in type 2 diabetes — glycemic outcomes. N. Engl. J. Med. 387, 1063–1074 (2022).

    Article  Google Scholar 

  560. Jorsal, A. et al. Effect of liraglutide, a glucagon-like peptide-1 analogue, on left ventricular function in stable chronic heart failure patients with and without diabetes (LIVE)-a multicentre, double-blind, randomised, placebo-controlled trial. Eur. J. Heart Fail. 19, 69–77 (2017).

    Article  CAS  PubMed  Google Scholar 

  561. Pfeffer, M. A. et al. Lixisenatide in patients with type 2 diabetes and acute coronary syndrome. N. Engl. J. Med. 373, 2247–2257 (2015).

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

M. Galli declares that he is the principal investigator of the active grant Sapienza University of Rome (Grant protocol no. RG1241910F5A1A50). M. Gaudino is principal investigator in the active grants NIH/NHLBI Grant R01NS123639-01, NIH/NHLBI Grant R01HL152021, NIH/NHLBI Grant R01HL170570-01, NIH/NHLBI Grant1R01HL170566-0, and Research Award PCORI PLACER Award 30048.

Author information

Authors and Affiliations

Authors

Contributions

M. Galli and D.J.A. research data for the article and wrote the manuscript. All the authors reviewed and/or edited the manuscript before submission.

Corresponding author

Correspondence to Dominick J. Angiolillo.

Ethics declarations

Competing interests

M. Galli has received consulting fees from Genomadix and Werfen. M.P.B. is the Executive Director of CPC, a non-profit academic research organization affiliated with the University of Colorado that receives or has received research grant/consulting funding between August 2021 and present from Abbott Laboratories, Agios Pharmaceuticals, Alexion Pharma, Alnylam Pharmaceuticals, Amgen, Angionetics, Anthos Therapeutics, Array BioPharma, AstraZeneca and affiliates, Atentiv, Audentes Therapeutics, Bayer and Affiliates, Bristol-Meyers Squibb, Cambrian Biopharma, Cardiol Therapeutics, CellResearch, Cleerly, Cook Regentec, CSL Behring, Eidos Therapeutics, EP Trading, Epizon Pharma, Esperion Therapeutics, Everly Well, Exicon Consulting, Faraday Pharmaceuticals, Foresee Pharmaceuticals, Fortress Biotech, HDL Therapeutics, HeartFlow, Hummingbird Bioscience, Insmed, Ionis Pharmaceuticals, Janssen and affiliates, Kowa Research Institute, Lexicon Pharmaceuticals, Medimmune, Merck and affiliates, Nectero Medical, Novartis Pharmaceuticals, Novo Nordisk, Osiris Therapeutics, Pfizer, PhaseBio Pharmaceuticals, Prairie Education and Research Cooperative, Prothena Biosciences, Regeneron Pharmaceuticals, Regio Biosciences, Sanofi-Aventis Groupe, Silence Therapeutics, Smith & Nephew, Stealth BioTherapeutics, VarmX and Virta Health Corporation. D.A.G. declares institutional research grants from AstraZeneca and speaker’s honoraria and advisory board fees from BMS, Chiesi and Janssen. M.L.O. reports research grants via Brigham and Women’s Hospital from Amgen, AstraZeneca, Marea Therapeutics and Novartis, and consulting and/or Data and Safety Monitoring Board fees from Amgen, Janssen, New Amsterdam, Novartis, Novo Nordisk and Verve Therapeutics. P.G.S. received research grants from Amarin and Sanofi; has received honoraria from Amarin, Amgen, AstraZeneca, Bayer, Bristol-Myers Squibb, Idorsia, Janssen, Lilly, Merck, Novartis, Novo Nordisk, Pfizer and Sanofi; and is Chief Medical Officer for Bioquantis and Senior Associate Editor at Circulation. D.J.A. has received consulting fees or honoraria from Abbott, Amgen, AstraZeneca, Bayer, Biosensors, Boehringer Ingelheim, Bristol-Myers Squibb, Chiesi, CSL Behring, Daiichi-Sankyo, Eli Lilly, Faraday, Haemonetics, Janssen, Merck, Novartis, Novo Nordisk, PhaseBio, PLx Pharma, Pfizer and Sanofi, and his institution has received research grants from Amgen, AstraZeneca, Bayer, Biosensors, CeloNova, CSL Behring, Daiichi-Sankyo, Eisai, Eli Lilly, Faraday, Gilead, Idorsia, Janssen, Matsutani Chemical Industry Co., Merck, Novartis and the Scott R. MacKenzie Foundation. The other authors declare no competing interests.

Peer review

Peer review information

Nature Reviews Cariology thanks Deepak Bhatt, Wolfgang Koenig and François Mach for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Galli, M., Abbate, A., Bonaca, M.P. et al. Residual cardiovascular risk in coronary artery disease: from pathophysiology to established and novel therapies. Nat Rev Cardiol (2026). https://doi.org/10.1038/s41569-026-01249-z

Download citation

  • Accepted:

  • Published:

  • Version of record:

  • DOI: https://doi.org/10.1038/s41569-026-01249-z

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing