Incorporating dysregulated lipids significantly improved the prediction of coronary microvascular dysfunction compared to traditional clinical factors alone (AUC 0.94 vs 0.86).
Cross-Sectional (n=43)
No
Are lipidomic abnormalities and biological aging associated with coronary microvascular dysfunction in patients with angina and no epicardial stenosis?
PhenoAge acceleration and specific dysregulated lipids, particularly triacylglycerols, are associated with coronary microvascular dysfunction and improve its prediction beyond traditional clinical factors.
Absolute Event Rate: 0.94% vs 0.86%
p-value: p=<0.05
Background: Coronary microvascular dysfunction (CMD) was frequently encountered in patients with angina in the absence of epicardial coronary stenosis. CMD was associated with adverse outcomes while the etiology was unclear. Objective: In this study, we aimed to investigate the association between lipidomic abnormalities, biological aging and CMD. Methods: We consecutively enrolled 43 patients with angina exhibiting no epicardial coronary stenosis on angiography. CMD was defined by a coronary angiography-derived index of microvascular resistance (caIMR) > 25. Targeted lipidomic profiling quantified 781 lipids. PhenoAge was calculated from clinical parameters. Using machine learning, lipidomic data and clinical characteristics were screened to identify candidate biomarkers. Results: There were 25 patients having CMD with the mean caIMR of 34.0 (Interquartile range IQR, 31.0– 36.5), in contrast to 23.0 (IQR, 19.0– 24.5) in the control group. Patients with CMD had substantially older PhenoAge (61 vs 52, p = 0.002). Forty-eight lipid species were dysregulated in patients with CMD, which predominantly belonged to triacylglycerol (TAG). PhenoAge, triglyceride glucose index, hypertension, TAG47:2-FA14:0, TAG48:4-FA18:1 and phosphatidylcholine (18:1/20:3) were independent risk factors of CMD. Incorporating dysregulated lipids significantly improved CMD prediction compared to traditional clinical factors alone (area under the curve, 0.94 vs 0.86, p < 0.05). Conclusion: PhenoAge acceleration and dysregulated lipidome were associated with CMD. Larger-scale studies and external validation are needed in the future. Keywords: biological aging, lipidomics, index of microcirculatory resistance, coronary microvascular dysfunction
Lu et al. (Wed,) conducted a cross-sectional in Coronary microvascular dysfunction (n=43). Dysregulated lipids and PhenoAge vs. Clinical factors alone was evaluated on Prediction of coronary microvascular dysfunction (AUC) (95% CI 0.91-0.98, p=<0.05). Incorporating dysregulated lipids significantly improved the prediction of coronary microvascular dysfunction compared to traditional clinical factors alone (AUC 0.94 vs 0.86).