Metabolic Dysfunction and Coronary Plaque Vulnerability: The Predictive Role of Insulin Resistance Indices in Cardiovascular Outcomes

Significant residual cardiovascular risk persists in patients diagnosed with coronary artery disease despite intensive lipid-lowering therapy. Although insulin resistance (IR) is an established epidemiological risk factor, the biological mechanisms by which it promotes plaque destabilization remain poorly understood. This single-center retrospective study, involving 1271 patients, investigated the relationships between four validated IR indices-triglyceride-glucose (TyG), TyG-body mass index (TyG-BMI), metabolic score for insulin resistance (METS-IR), and atherogenic index of plasma (AIP)-and high-risk coronary plaque characteristics quantified by coronary computed-tomography angiography. Patients with coronary atherosclerosis demonstrated significantly higher IR indices than plaque-free controls, with all indices exhibiting strong correlations with a high-risk plaque burden. During follow-up, 41 patients experienced major adverse cardiovascular events (MACEs), and higher TyG index, AIP, and METS-IR independently predicted MACE after multivariable adjustment, whereas TyG-BMI exhibited a similar but non-significant trend. A composite model integrating high-risk plaque burden, pericoronary fat attenuation index, and the four IR indices achieved superior prognostic accuracy, substantially outperforming individual biomarkers. These findings provide novel mechanistic insights into how metabolic dysfunction promotes coronary plaque vulnerability and identify a promising integrated approach for residual risk stratification in patients with coronary artery disease. In this study, IR indices (TyG, TyG-BMI, AIP, and METS-IR) correlated high-risk coronary plaque features in 1271 patients. During 48-month follow-up, all indices independently predicted MACEs. Combined with coronary imaging markers, the composite model achieved AUC 0.82, revealing metabolic dysfunction drives plaque destabilization in coronary disease.

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Journal
MedComm
Published
2026-02-01
DOI
https://doi.org/10.1002/mco2.70636
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
0.00

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article

Metabolic Dysfunction and Coronary Plaque Vulnerability: The Predictive Role of Insulin Resistance Indices in Cardiovascular Outcomes

Le Shen, Yue Yu, Chenguang Li, Cheng Yan et al.
MedComm
Cardiovascular Disease and Adiposity
article

Metabolic Dysfunction and Coronary Plaque Vulnerability: The Predictive Role of Insulin Resistance Indices in Cardiovascular Outcomes

Le Shen, Yue Yu, Chenguang Li, Cheng Yan, J Yin, W Guo, Yanli Song, Dijia Wu, Han Chen, Mengsu Zeng, Junbo Ge, Changyi Zhou
article en

Abstract

Significant residual cardiovascular risk persists in patients diagnosed with coronary artery disease despite intensive lipid-lowering therapy. Although insulin resistance (IR) is an established epidemiological risk factor, the biological mechanisms by which it promotes plaque destabilization remain poorly understood. This single-center retrospective study, involving 1271 patients, investigated the relationships between four validated IR indices-triglyceride-glucose (TyG), TyG-body mass index (TyG-BMI), metabolic score for insulin resistance (METS-IR), and atherogenic index of plasma (AIP)-and high-risk coronary plaque characteristics quantified by coronary computed-tomography angiography. Patients with coronary atherosclerosis demonstrated significantly higher IR indices than plaque-free controls, with all indices exhibiting strong correlations with a high-risk plaque burden. During follow-up, 41 patients experienced major adverse cardiovascular events (MACEs), and higher TyG index, AIP, and METS-IR independently predicted MACE after multivariable adjustment, whereas TyG-BMI exhibited a similar but non-significant trend. A composite model integrating high-risk plaque burden, pericoronary fat attenuation index, and the four IR indices achieved superior prognostic accuracy, substantially outperforming individual biomarkers. These findings provide novel mechanistic insights into how metabolic dysfunction promotes coronary plaque vulnerability and identify a promising integrated approach for residual risk stratification in patients with coronary artery disease. In this study, IR indices (TyG, TyG-BMI, AIP, and METS-IR) correlated high-risk coronary plaque features in 1271 patients. During 48-month follow-up, all indices independently predicted MACEs. Combined with coronary imaging markers, the composite model achieved AUC 0.82, revealing metabolic dysfunction drives plaque destabilization in coronary disease.

MedCommVol. 7(2)
Fudan University (CN), National Clinical Research Center for Digestive Diseases (CN), Zhongshan Hospital (CN), United Imaging Healthcare (China) (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 66%
Cardiovascular Disease and Adiposity
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