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Dynamic evaluation of blood marker changes induced by acute binge drinking in healthy individuals: a randomized controlled trial
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  • Published: 20 February 2026

Dynamic evaluation of blood marker changes induced by acute binge drinking in healthy individuals: a randomized controlled trial

  • Jiaomei Li1 na1,
  • Kaixin Pan1 na1,
  • Yuxuan Zhang1 na1,
  • Qingling Huang1,
  • Yicheng Wang1,
  • Menghua Yu1,
  • Yuzhe Zhu1,
  • Zhiyuan Li1,
  • Chenxiang Shi1,
  • Danrui Zhao1 &
  • …
  • Songtao Li1 

Scientific Reports , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Medical research
  • Randomized controlled trials

Abstract

Acute alcohol consumption is known to exert widespread physiological effects, yet the immediate impacts on metabolic biomarkers remain incompletely understood. The present randomized controlled trial was conducted to investigate the acute effects of a single episode of alcohol ingestion on various biomarkers in healthy individuals. A total of 45 male participants were recruited and randomized into an alcohol group (n = 40) and a control group (n = 5) at an 8:1 ratio. Volunteers in the alcohol group ingested 40% Absolut vodka within 15 min. Blood pressure, heart rate, and blood oxygen saturation were measured at 0 h, 1 h, 3 h, 5 h, 12 h, and 24 h. Venous blood samples were drawn at 0 h, 1 h, 5 h, 12 h, and 24 h after alcohol intake. Our results showed that levels of liver function markers, including α-fucosidase (AFU), albumin (ALB), and alkaline phosphatase (ALP), were significantly increased in the alcohol group compared to the control group. The 24-h area under curve (AUC) of AFU, ALB, and ALP were significantly higher in the alcohol group. The liver fibrosis maker collagen type Ⅳ (Ⅳ-C) tended to be higher at 1 h and 12 h in the alcohol group compared to the control group. Lipid levels, including triglycerides (TG), apolipoprotein A1 (APOA1), and the APOA1/APOB, were significantly elevated after alcohol ingestion, particularly at 5 h and 12 h. The 24 h-AUC of TG, APOA1, and APOA1/APOB were higher in the alcohol group than in the control group. Additionally, cardiac function indicators, including heart rate, systolic blood pressure (SBP), and diastolic blood pressure (DBP), were significantly elevated in the alcohol group. SBP and DBP remained higher 24 h after alcohol ingestion compared to the control group. This study demonstrated that even a single episode of binge drinking could induce significant alterations of biomarkers related to liver function, cardiac function, and lipid profiles. These findings provided valuable insights into the short-term impact of alcohol on health and highlighted the importance of further research to explore the long-term implications of repeated acute alcohol exposure. Given the very small control group, these results should be interpreted as preliminary and confirmed in larger, more balanced randomized trials.

Data availability

The corresponding author can provide an anonymized, de-identified version of the dataset upon reasonable request.

Abbreviations

Apo A1:

Apolipoprotein A1

Apo B:

Apolipoprotein B

AUC:

Areas under the curve

ALT:

Alanine aminotransferase

AST:

Aspartate aminotransferase

ALP:

Alkaline phosphatase

ALB:

Albumin

BMI:

Body mass index

CHE:

Cholinesterase

CG:

Chologlycine acid

Ⅳ-C:

Collagen type IV

CK:

Creatine kinase

CK-MB:

Creatine kinase-MB

ECM:

Extracellular matrix

GGT:

γ-Glutamyl transferase

HDL:

High-density lipoprotein

HBDH:

Hydroxybutyrate dehydrogenase

LDH:

Lactate dehydrogenase

LN:

Laminin

PⅢNP:

Procollagen type III N-terminal peptide

PRO-C3:

Procollagen type III C-peptide

TBA:

Total bile acids

TC:

Total cholesterol

TG:

Triglycerides

LDL:

Low-density lipoprotein

Lp (a):

Lipoprotein (a)

SBP:

Systolic blood pressure

DBP:

Diastolic blood pressure

Apo A1:

Apolipoprotein A1

Apo B:

Apolipoprotein B

AUC:

Areas under the curve

References

  1. Organization, W. H. Global status report on alcohol and health and treatment of substance use disorders. Geneva: WHO. https://www.who.int/publications/i/item/9789240096745. Accessed 25 June 2024. (2024).

  2. Sohi, I. et al. Alcoholic beverage consumption and female breast cancer risk: A systematic review and meta-analysis of prospective cohort studies. Alcohol, Clin. Exp. Res. 48(12), 2222–2241 (2024).

    Google Scholar 

  3. Chan, K. K., Neighbors, C., Gilson, M., Larimer, M. E. & Alan Marlatt, G. Epidemiological trends in drinking by age and gender: Providing normative feedback to adults. Addict. Behav. 32(5), 967–976 (2007).

    Google Scholar 

  4. Wong, R. J. et al. Impact of longitudinal alcohol use patterns on long-term risk of cirrhosis among US veterans with steatotic liver disease. Gastroenterology 166(6), 1156–65 e4 (2024).

    Google Scholar 

  5. Liangpunsakul, S., Qi, R., Crabb, D. W. & Witzmann, F. Relationship between alcohol drinking and aspartate aminotransferase:alanine aminotransferase (AST:ALT) ratio, mean corpuscular volume (MCV), gamma-glutamyl transpeptidase (GGT), and apolipoprotein A1 and B in the U.S. population. J. Stud. Alcohol Drugs 71(2), 249–252 (2010).

    Google Scholar 

  6. Bhandari, B., Zeng, L., Grafenauer, S., Schutte, A. E. & Xu, X. Long-term consumption of 6 different beverages and cardiovascular disease-related mortality: A systematic review and meta-analysis of prospective cohort studies. Curr. Dev. Nutr. 8(3), 102095 (2024).

    Google Scholar 

  7. Han, L. & Jia, J. Long-term effects of alcohol consumption on cognitive function in seniors: A cohort study in China. BMC Geriatr. 21(1), 699 (2021).

    Google Scholar 

  8. Corbin, W. R. et al. In with the old and out with the new? A comparison of the old and new binge drinking standards. Alcohol. Clin. Exp. Res. 38(10), 2657–2663 (2014).

    Google Scholar 

  9. Das, S. K. & Vasudevan, D. M. Alcohol-induced oxidative stress. Life Sci. 81(3), 177–187 (2007).

    Google Scholar 

  10. Stankevic, E. et al. Binge drinking episode causes acute, specific alterations in systemic and hepatic inflammation-related markers. Liver Int. 43(12), 2680–2691 (2023).

    Google Scholar 

  11. Torp, N. et al. Binge drinking induces an acute burst of markers of hepatic fibrogenesis (PRO-C3). Liver Int. 42(1), 92–101 (2022).

    Google Scholar 

  12. Veenstra, J., Ockhuizen, T., van de Pol, H., Wedel, M. & Schaafsma, G. Effects of a moderate dose of alcohol on blood lipids and lipoproteins postprandially and in the fasting state. Alcohol Alcohol 25(4), 371–377 (1990).

    Google Scholar 

  13. Kirpich, I. et al. Binge alcohol-induced microvesicular liver steatosis and injury are associated with down-regulation of hepatic Hdac 1, 7, 9, 10, 11 and up-regulation of Hdac 3. Alcohol. Clin. Exp. Res. 36(9), 1578–1586 (2012).

    Google Scholar 

  14. Jeon, S. & Carr, R. Alcohol effects on hepatic lipid metabolism. J. Lipid Res. 61(4), 470–479 (2020).

    Google Scholar 

  15. Ai, L. et al. Binge alcohol exposure in adolescence impairs normal heart growth. J. Am. Heart Assoc. 9(9), e015611 (2020).

    Google Scholar 

  16. Zaridze, D. et al. Alcohol and mortality in Russia: Prospective observational study of 151,000 adults. Lancet 383(9927), 1465–1473 (2014).

    Google Scholar 

  17. Maudens, K. E. et al. The influence of the body mass index (BMI) on the volume of distribution of ethanol. Forensic Sci. Int. 243, 74–78 (2014).

    Google Scholar 

  18. Schielzeth, H. et al. Robustness of linear mixed‐effects models to violations of distributional assumptions. Methods Ecol. Evol. 11(9), 1141–1152 (2020).

    Google Scholar 

  19. Shremo Msdi, A., Abdul-Mutakabbir, J. C. & Tan, K. K. Characterizing day 1 area under the curve following Vancomycin loading dose administration in adult hospitalized patients using non-trapezoidal linear pharmacokinetic equations: A retrospective observational study. Infect. Dis. Ther. 13(8), 1807–1819 (2024).

    Google Scholar 

  20. Silsirivanit, A. Glycosylation markers in cancer. Adv. Clin. Chem. 89, 189–213 (2019).

    Google Scholar 

  21. Gerlach, J. Hartwig Kuhlenbeck 1897-1984. Appl. Neurophysiol. 48(1–6), VII–XI (1985).

    Google Scholar 

  22. Zhang, W. et al. The applicability of ADA, AFU, and LAC in the early diagnosis and disease risk assessment of hepatitis B-associated liver cirrhosis and hepatocellular carcinoma. Front. Med. (Lausanne). 8, 740029 (2021).

    Google Scholar 

  23. de Jong, W. J. et al. The effect of acute alcohol intoxication on gut wall integrity in healthy male volunteers; a randomized controlled trial. Alcohol 49(1), 65–70 (2015).

    Google Scholar 

  24. Belinskaia, D. A., Voronina, P. A., Shmurak, V. I., Jenkins, R. O. & Goncharov, N. V. Serum albumin in health and disease: Esterase, antioxidant, transporting and signaling properties. Int. J. Mol. Sci. https://doi.org/10.3390/ijms221910318 (2021).

    Google Scholar 

  25. Taivainen, H., Laitinen, K., Tahtela, R., Kilanmaa, K. & Valimaki, M. J. Role of plasma vasopressin in changes of water balance accompanying acute alcohol intoxication. Alcohol. Clin. Exp. Res. 19(3), 759–762 (1995).

    Google Scholar 

  26. Karinch, A. M., Martin, J. H. & Vary, T. C. Acute and chronic ethanol consumption differentially impact pathways limiting hepatic protein synthesis. Am. J. Physiol. Endocrinol. Metab. 295(1), E3-9 (2008).

    Google Scholar 

  27. Schini, M., Vilaca, T., Gossiel, F., Salam, S. & Eastell, R. Bone turnover markers: Basic biology to clinical applications. Endocr. Rev. 44(3), 417–473 (2023).

    Google Scholar 

  28. Brandl, K. et al. Dysregulation of serum bile acids and FGF19 in alcoholic hepatitis. J. Hepatol. 69(2), 396–405 (2018).

    Google Scholar 

  29. Poschl, E. et al. Collagen IV is essential for basement membrane stability but dispensable for initiation of its assembly during early development. Development 131(7), 1619–1628 (2004).

    Google Scholar 

  30. Zhang, F. et al. Association of non-invasive markers with significant fibrosis in patients with nonalcoholic fatty liver disease: A cross-sectional study. Diabetes Metab. Syndr. Obes. 16, 2255–2268 (2023).

    Google Scholar 

  31. Seth, D. et al. Alcohol, signaling, and ECM turnover. Alcohol Clin. Exp. Res. 34(1), 4–18 (2010).

    Google Scholar 

  32. Zdanowicz, K. et al. Increase in serum MMP-9 and TIMP-1 concentrations during alcohol intoxication in adolescents-a preliminary study. Biomolecules 12(5), 710 (2022).

    Google Scholar 

  33. Zhu, C. et al. Correlation of serum liver fibrosis markers with severity of liver dysfunction in liver cirrhosis: a retrospective cross-sectional study. Int. J. Clin. Exp. Med. 8(4), 5989–5998 (2015).

    Google Scholar 

  34. Ma, H. Y., Dong, L., Quan, S. Z., Li, R. Y. & Wang, X. R. Comparison of four markers of hepatic fibrosis and hepatic function indices in patients with liver cirrhosis and hepatoma. Ann. Palliat. Med. 10(4), 4108–4121 (2021).

    Google Scholar 

  35. Fraser, J. R., Laurent, T. C. & Laurent, U. B. Hyaluronan: Its nature, distribution, functions and turnover. J. Intern. Med. 242(1), 27–33 (1997).

    Google Scholar 

  36. Boren, J., Taskinen, M. R., Bjornson, E. & Packard, C. J. Metabolism of triglyceride-rich lipoproteins in health and dyslipidaemia. Nat. Rev. Cardiol. 19(9), 577–592 (2022).

    Google Scholar 

  37. Ontko JA. Effects of ethanol on the metabolism of free fatty acids in isolated liver cells.J Lipid Res.14(1), 78-86 (1973).

    Google Scholar 

  38. Rye, K. A. & Barter, P. J. Regulation of high-density lipoprotein metabolism. Circ. Res. 114(1), 143–156 (2014).

    Google Scholar 

  39. Tall, A. R. & Rader, D. J. Trials and tribulations of CETP inhibitors. Circ. Res. 122(1), 106–112 (2018).

    Google Scholar 

  40. Superko, H. R. Effects of acute and chronic alcohol consumption on postprandial lipemia in healthy normotriglyceridemic men. Am. J. Cardiol. 69(6), 701–704 (1992).

    Google Scholar 

  41. Casillas-Munoz, F. et al. APOA1 and APOB polymorphisms and apolipoprotein concentrations as biomarkers of risk in acute coronary syndrome: Relationship with lipid-lowering therapy effectiveness. Med. Clin. (Barc) 151(1), 1–7 (2018).

    Google Scholar 

  42. Khan, A. A., Lip, G. Y. H. & Shantsila, A. Heart rate variability in atrial fibrillation: The balance between sympathetic and parasympathetic nervous system. Eur. J. Clin. Invest. 49(11), e13174 (2019).

    Google Scholar 

  43. Voskoboinik, A. et al. Acute electrical, autonomic and structural effects of binge drinking: Insights into the “holiday heart syndrome”. Int. J. Cardiol. 331, 100–105 (2021).

    Google Scholar 

  44. Shahoud, J. S., Sanvictores, T., Aeddula, N. R. Physiology, arterial pressure regulation. StatPearls. (2025).

  45. Tasnim, S., Tang, C., Musini, V. M. & Wright, J. M. Effect of alcohol on blood pressure. Cochrane Database Syst. Rev. 7(7), CD012787 (2020).

    Google Scholar 

  46. Ho, M. F. et al. Genome-wide association study for circulating FGF21 in patients with alcohol use disorder: Molecular links between the SNHG16 locus and catecholamine metabolism. Mol. Metab. 63, 101534 (2022).

    Google Scholar 

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Acknowledgements

The authors thank all participants in the present study. Furthermore, the authors thank Chenxiang Shi, Yitong Li, Yilin Li, Keyi Wang, Yingchen Wang, Wei Mao, Lili Yuan, Xueyan Cao and Jianing Yan from School of Public Health, and the entire staff from Institute of Nutrition and Health, Zhejiang Chinese Medical University.

Funding

This work was supported by the National Natural Science Foundation of China (NSFC: 82273625), Natural Science Foundation of Zhejiang Province (ZCLY24H2602), Zhejiang Provincial Xinmiao Talents Program (2024R410B061), and National Project for Innovation and Entrepreneurship Training Program for College Students (202410344043; 202410344075X).

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  1. Jiaomei Li, Kaixin Pan and Yuxuan Zhang are contribute equally to this paper.

Authors and Affiliations

  1. School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou, 310053, China

    Jiaomei Li, Kaixin Pan, Yuxuan Zhang, Qingling Huang, Yicheng Wang, Menghua Yu, Yuzhe Zhu, Zhiyuan Li, Chenxiang Shi, Danrui Zhao & Songtao Li

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Contributions

Conceptualization, J.L., S.L. and K.P.; methodology, J.L., K.P.; software, Y.Z., Q.H.; validation K.P., Y.W., and Q.H.; formal analysis, Y.W., Z.L.; investigation, M.Y., Y.Z., D.Z.; data curation, K.P., C.S.; writing-original draft preparation, J.L., K.P., Y.Z.; writing-review and editing, J.L., K.P.; visualization, J.L., S.L.; supervision, K.P., Y.Z.; project administration, J.L., S.L.; All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Songtao Li.

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Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

All procedures relative to this study were in accordance with the Helsinki Declaration and approved by the Ethical Committee of Zhejiang Chinese Medical University (20231117–7) and registered at clinicaltrials.gov (NCT05882214). We conducted the trial in compliance with guidelines of the International Conference on Harmonization Good Clinical Practice (ICH-GCP) and Medical Ethics Committee of Zhejiang Chinese Medical University.

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Li, J., Pan, K., Zhang, Y. et al. Dynamic evaluation of blood marker changes induced by acute binge drinking in healthy individuals: a randomized controlled trial. Sci Rep (2026). https://doi.org/10.1038/s41598-026-40028-1

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  • Received: 10 March 2025

  • Accepted: 10 February 2026

  • Published: 20 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-40028-1

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Keywords

  • Acute alcohol
  • Liver function
  • Lipids profiles
  • Cardiac function
  • Binge drinking
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