The predictive value of atherogenic index of plasma and clonal hematopoiesis of indeterminate potential among patients with STEMI—from a prospective cohort study
- Open Access
- 01-12-2025
- ST-Segment Elevation Myocardial Infarction
- Research
- 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
- Published in
- Cardiovascular Diabetology | Issue 1/2025
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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