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.

  • Article
  • Published:

Clonal hematopoiesis, cardiovascular events and treatment benefit in 63,700 individuals from five TIMI randomized trials

Abstract

Clonal hematopoiesis of indeterminate potential (CHIP) has been associated with an increased risk of cardiovascular (CV) disease in the general population. Currently, it is unclear whether this association is observed in large clinical trial cohorts with a high burden of existing CV disease or whether CV therapies can mitigate CHIP-associated CV risk. To address these questions, we studied 63,700 patients from five randomized trials that tested established therapies for CV disease, including treatments targeting the proteins PCSK9, SGLT2, P2Y12 and FXa. During a median follow-up of 2.5 years, 7,453 patients had at least one CV event (CV death, myocardial infarction (MI), ischemic stroke or coronary revascularization). The adjusted hazard ratio (aHR) for CV events for CHIP+ patients was 1.07 (95% CI: 0.99–1.16, P = 0.08), with consistent risk estimates across each component of CV risk. Significant heterogeneity in the risk of MI was observed, such that CHIP+ patients had a 30% increased risk of first MI (aHR = 1.31 (1.05–1.64), P = 0.02) but no increased risk of recurrent MI (aHR = 0.94 (0.79–1.13), Pint = 0.008), as compared to CHIP− patients. Moreover, no significant heterogeneity in treatment effect between individuals with and without CHIP was observed for any of the therapies studied in the five trials. These results indicate that in clinical trial populations, CHIP is associated with incident but not recurrent coronary events and that the presence of CHIP does not appear to identify patients who will derive greater benefit from commonly used CV therapies.

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: Distribution of CHIP over the lifetime and by gene.
Fig. 2: Association between CHIP and major CV events and cause of death.
Fig. 3: Association between CHIP burden and major CV events in patients with and without prior MI.
Fig. 4: Associations between CHIP and the cumulative risk of first versus recurrent MI and coronary revascularization.

Similar content being viewed by others

Data availability

Due to contractual agreements with the sponsors of the clinical trials, trial data cannot be made publicly available.

References

  1. Niroula, A. et al. Distinction of lymphoid and myeloid clonal hematopoiesis. Nat. Med. 27, 1921–1927 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  2. 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 

  3. Bhattacharya, R. et al. Clonal hematopoiesis is associated with higher risk of stroke. Stroke 53, 788–797 (2022).

    Article  PubMed  CAS  Google Scholar 

  4. Bick, A. G. et al. Genetic Interleukin 6 signaling deficiency attenuates cardiovascular risk in clonal hematopoiesis. Circulation 141, 124–131 (2020).

    Article  PubMed  CAS  Google Scholar 

  5. Zekavat, S. M. et al. TP53-mediated clonal hematopoiesis confers increased risk for incident atherosclerotic disease. Nat. Cardiovasc. Res. 2, 144–158 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Vlasschaert, C., Heimlich, J. B., Rauh, M. J., Natarajan, P. & Bick, A. G. Interleukin-6 receptor polymorphism attenuates clonal hematopoiesis-mediated coronary artery disease risk among 451,180 individuals in the UK Biobank. Circulation 147, 358–360 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Vlasschaert, C. et al. A practical approach to curate clonal hematopoiesis of indeterminate potential in human genetic data sets. Blood 141, 2214–2223 (2023).

    PubMed  PubMed Central  CAS  Google Scholar 

  8. Uddin, M. D. M. et al. Clonal hematopoiesis of indeterminate potential, DNA methylation, and risk for coronary artery disease. Nat. Commun. 13, 5350 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Bhattacharya, R. et al. Association of diet quality with prevalence of clonal hematopoiesis and adverse cardiovascular events. JAMA Cardiol. 6, 1069–1077 (2021).

    Article  PubMed  Google Scholar 

  10. Gumuser, E. D. et al. Clonal hematopoiesis of indeterminate potential predicts adverse outcomes in patients with atherosclerotic cardiovascular disease. J. Am. Coll. Cardiol. 81, 1996–2009 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  11. Kessler, M. D. et al. Common and rare variant associations with clonal haematopoiesis phenotypes. Nature 612, 301–309 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. Stacey, S. N. et al. Genetics and epidemiology of mutational barcode-defined clonal hematopoiesis. Nat. Genet. 55, 2149–2159 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  13. Yalcinkaya, M. et al. BRCC3-mediated NLRP3 deubiquitylation promotes inflammasome activation and atherosclerosis in Tet2 clonal hematopoiesis. Circulation 148, 1764–1777 (2023).

    Article  PubMed  CAS  Google Scholar 

  14. Fuster, J. J. et al. Clonal hematopoiesis associated with TET2 deficiency accelerates atherosclerosis development in mice. Science 355, 842–847 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  15. Liu, W. et al. Blockade of IL-6 signaling alleviates atherosclerosis in Tet2-deficient clonal hematopoiesis. Nat. Cardiovasc. Res. 2, 572–586 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  16. 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 

  17. Heyde, A. et al. Increased stem cell proliferation in atherosclerosis accelerates clonal hematopoiesis. Cell 184, 1348–1361 e1322 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  18. Giugliano, R. P. et al. Edoxaban versus warfarin in patients with atrial fibrillation. N. Engl. J. Med. 369, 2093–2104 (2013).

    Article  PubMed  CAS  Google Scholar 

  19. Scirica, B. M. et al. Saxagliptin and cardiovascular outcomes in patients with type 2 diabetes mellitus. N. Engl. J. Med. 369, 1317–1326 (2013).

    Article  PubMed  CAS  Google Scholar 

  20. 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 

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

    Article  PubMed  CAS  Google Scholar 

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

    Article  PubMed  CAS  Google Scholar 

  23. Jurgens, S. J. et al. Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk. Circulation 146, A13496 (2022).

    Article  Google Scholar 

  24. Benjamin, D. et al. Calling somatic SNVs and Indels with Mutect2. Preprint at bioRxiv https://doi.org/10.1101/861054 (2019).

  25. Taliun, D. et al. Sequencing of 53,831 diverse genomes from the NHLBI TOPMed program. Nature 590, 290–299 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. Wang, K., Li, M. & Hakonarson, H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 38, e164 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  27. Cole, J., Otvos, J. D. & Remaley, A. T. A translational tool to facilitate use of apolipoprotein B for clinical decision-making. Clin. Chem. 69, 41–47 (2023).

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

N.A.M. receives funding from the National Institutes of Health (NIH) under grant K08HL153950. J.P.P. is supported by NIH under grant K08HL159346. M.P.B. receives support from the AHA SFRN under awards 18SFRN3390085 (BWH-DH SFRN Center) and 18SFRN33960262 (BWH-DH Clinical Project). A.G.B. is supported by NIH grant DP5 OD029586.

Author information

Authors and Affiliations

Authors

Contributions

N.A.M. developed the analysis plan, oversaw the analyses, interpreted the results and drafted the paper. J.P.P. led the CHIP calling and data preparation and contributed to the initial draft of the paper. G.E.M.M. led the statistical analyses and contributed to the initial and subsequent drafts of the paper. F.K. provided additional statistical and analytical support and provided critical review of the paper. M.P.B., R.P.G., B.M.S., S.D.W., D.L.B., P.G.S., I.R. and E.B. contributed to data collection and reviewed the paper. P.L., P.T.E., A.G.B., M.S.S. and C.T.R. provided oversight and guidance throughout the analysis, including critical review and revisions of the paper.

Corresponding author

Correspondence to Nicholas A. Marston.

Ethics declarations

Competing interests

P.L. has a financial interest in TenSixteen Bio (a company targeting somatic mosaicism and CHIP to discover and develop new therapeutics to treat age-related diseases). A.G.B. is on the scientific advisory board of TenSixteen Bio. The other authors declare no competing interests.

Peer review

Peer review information

Nature Medicine thanks Alan Tall and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Primary Handling Editor: Michael Basson, in collaboration with the Nature Medicine team.

Additional information

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

Extended data

Extended Data Fig. 1 The association between specific CHIP driver mutations and major cardiovascular events in patients with and without history of MI (n = 63,700).

DNA damage genes: TP53 and PPM1D, spliceosome genes: SF3B1, SRSF2, U2AF1. HRs and 95% CI are reported adjusted for age, age2, sex, BMI, current smoking, history of hypercholesterolemia, systolic blood pressure, history of diabetes, statin use, ancestry (PC 1–10), prior MI, stroke, AF, malignancy, eGFR, PAD, CHF, and trial. Two-sided p-values were obtained via Wald test.

Extended Data Fig. 2 Association of CHIP subgroups with major cardiovascular events.

The association between CHIP (a) and TET2 (b) and major cardiovascular events stratified by IL6R Asp358Ala genotypes (n = 53,298). HRs and 95% CI are reported adjusted for age, age2, sex, BMI, current smoking, history of hypercholesterolemia, systolic blood pressure, history of diabetes, statin use, ancestry (PC 1–10), prior MI, stroke, AF, malignancy, eGFR, PAD, CHF, and trial. Two-sided p-values were obtained via Wald test.

Extended Data Fig. 3 Association between TET2+ and major adverse cardiovascular events as a function of LDL-C level.

Hazard ratio estimates are derived from an interaction model between TET2 status and a 3-knot restricted cubic spline of LDL-C. 95% CI bands (in gray) were obtained via bootstrap. The model is adjusted for age, age2, sex, BMI, current smoking, history of hypercholesterolemia, systolic blood pressure, history of diabetes, statin use, ancestry (PC 1–10), prior MI, stroke, AF, malignancy, eGFR, PAD, CHF, and trial. P-interaction = 0.26. PEGASUS LDL-C values were approximated by transformed ApoB values. LDL-C values were not available in ENGAGE.

Extended Data Table 1 Baseline characteristics by trial
Extended Data Table 2 Unadjusted and adjusted hazard ratios for study endpoints in CHIP+ patients compared to CHIP−
Extended Data Table 3 Sensitivity analysis of the association between CHIP and major cardiovascular events using leave one trial out (N-1) approach
Extended Data Table 4 Competing risk analysis using Fine–Gray model to evaluate the association between CHIP and (a) major vascular events and (b) MACE stratified by trial
Extended Data Table 5 Association between CHIP+ and TET2+ and major cardiovascular events stratified by statin use

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

Marston, N.A., Pirruccello, J.P., Melloni, G.E.M. et al. Clonal hematopoiesis, cardiovascular events and treatment benefit in 63,700 individuals from five TIMI randomized trials. Nat Med 30, 2641–2647 (2024). https://doi.org/10.1038/s41591-024-03188-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41591-024-03188-z

This article is cited by

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