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The predictive value of atherogenic index of plasma and clonal hematopoiesis of indeterminate potential among patients with STEMI—from a prospective cohort study

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Abstract

Background

Acute coronary syndrome (ACS) remains a leading global cause of mortality despite advances in revascularization therapies.

Methods

This prospective cohort study investigated the synergistic prognostic impact of clonal hematopoiesis of indeterminate potential (CHIP) and atherogenic index of plasma (AIP) in 1396 ACS patients undergoing primary percutaneous coronary intervention at Fuwai Hospital (2017–2020). Using deep targeted sequencing (42 genes, median depth 14,219 ×), we identified CHIP mutations (VAF ≥ 2%) in 14.5% of participants, with DNMT3A (23.7%), TET2 (2.8%), and ASXL1 (1.9%) being most prevalent.

Results

High-AIP patients stratified by cutoff value were younger (57.8 vs. 63.2 years), had elevated hs-CRP (7.2 vs. 5.8 mg/L), and higher smoking rates, suggesting accelerated atherosclerosis. Multivariable Cox regression revealed that in patients with AIP ≥ cutoff, CHIP carriers exhibited significantly higher all-cause mortality, particularly for TET2 mutations (HR 5.20, CI 95%: 1.75–15.41; p = 0.003) and TET2/ASXL1 co-mutations (HR 5.5, CI 95%: 2.02–13.15; p = 0.001). Among individuals in the high AIP group, any CHIP (Fig. 3A, HR 2.38, 95% CI 1.18–4.81; P log-rank = 0.015) and common CHIP (Fig. 3B, HR 2.74, 95% CI 1.30–5.08; P log-rank = 0.008) mutation experienced a higher risk of mortality than individuals absence of CHIP mutation.

Conclusion

These findings establish AIP as a critical modifier of CHIP-related cardiovascular risk, potentially through enhanced inflammatory pathways in younger ACS populations. The study highlights the clinical utility of combining lipid-based (AIP) and genetic (CHIP) biomarkers for precision prognostication, though validation in larger cohorts and mechanistic investigations of the AIP-CHIP interplay are warranted to guide targeted therapies.

Graphical abstract

Key question: The potential interplay between atherogenic index of plasma -modulated metabolic dysregulation and Clonal hematopoiesis of indeterminate potential -associated cardiovascular risk remains unexplored. Key finding: Multivariable Cox regression revealed that in patients with AIP ≥ cutoff, CHIP carriers exhibited significantly higher all-cause mortality (adjusted HR 2.23, 95% CI 1.01–4.95; p = 0.048), particularly for TET2 mutations (HR 5.20, CI 95%: 1.75–15.41; p = 0.003) and TET2/ASXL1 co-mutations (HR 5.5, CI 95%: 2.02–13.15; p = 0.001). Among Individuals in the high AIP group, any CHIP (Fig. 3, HR 2.38, 95% CI 1.18–4.81; P log-rank = 0.015) and common CHIP (Fig. 3B, HR 2.74, 95% CI 1.30–5.08; P log-rank = 0.008) mutation experienced a higher risk of mortality than individuals absence of CHIP mutation. Take home message: These findings establish AIP as a critical modifier of CHIP-related cardiovascular risk, potentially through enhanced inflammatory pathways in younger ACS populations. The study highlights the clinical utility of combining lipid-based (AIP) and genetic (CHIP) biomarkers for precision prognostication, though validation in larger cohorts and mechanistic investigations of the AIP-CHIP interplay are warranted to guide targeted therapies. Central ilustration: The association between atherogenic index of plasma (AIP) and clonal hematopoiesis of indeterminate potential (CHIP) (Fuster et al. in Science 2017;355:842–7; Uddin et al. in Nat Commun 2022;13(1):5350; Wang et al. in Circ Res 2018;123(11):e35−e47).
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Title
The predictive value of atherogenic index of plasma and clonal hematopoiesis of indeterminate potential among patients with STEMI—from a prospective cohort study
Authors
Xiaoxiao Zhao
Jiannan Li
Runzhen Chen
Nan Li
Linghan Xue
Shaodi Yan
Chen Liu
Peng Zhou
Yi Chen
Hongbing Yan
Yu Tan
Hanjun Zhao
Li Song
Publication date
01-12-2025
Publisher
BioMed Central
Published in
Cardiovascular Diabetology / Issue 1/2025
Electronic ISSN: 1475-2840
DOI
https://doi.org/10.1186/s12933-025-02877-4
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Image Credits
Colon cancer illustration/© (M) KATERYNA KON / SCIENCE PHOTO LIBRARY / Getty Images