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Lipidomic Profiling and Biological Aging in Patients with Coronary Microvascular Dysfunction
Danbo Lu1, Lixiang Deng1, Zhe Wang1
1Department of Cardiology, Shanghai Geriatric Medical Center, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Vascular Health and Risk Management
|July 22, 2026
Summary
Coronary microvascular dysfunction (CMD) is linked to biological aging and lipid abnormalities. Identifying these factors can improve prediction of CMD in angina patients without epicardial stenosis.
Area of Science:
- Cardiology
- Metabolomics
- Gerontology
Background:
- Coronary microvascular dysfunction (CMD) is common in angina patients lacking epicardial coronary stenosis.
- The underlying causes of CMD and its association with adverse outcomes remain unclear.
Purpose of the Study:
- To investigate the relationship between lipidomic alterations, biological aging (PhenoAge), and CMD.
- To identify potential biomarkers for CMD prediction.
Main Methods:
- 43 angina patients without epicardial stenosis were enrolled.
- CMD was defined by coronary angiography-derived index of microvascular resistance (caIMR) >25.
- Lipidomic profiling, PhenoAge calculation, and machine learning were employed to identify biomarkers.
Main Results:
- Patients with CMD exhibited significantly older PhenoAge and dysregulated lipid species, predominantly triacylglycerols (TAG).
- PhenoAge, triglyceride glucose index, hypertension, and specific TAG and phosphatidylcholine species were independent risk factors for CMD.
- Incorporating dysregulated lipids improved CMD prediction accuracy compared to clinical factors alone (AUC 0.94 vs 0.86).
Conclusions:
- PhenoAge acceleration and lipidome dysregulation are associated with CMD.
- Further large-scale studies and external validation are warranted.
