Lipidomics identified novel cholesterol-independent predictors for risk of incident coronary heart disease: Mediation of risk from diabetes and aggravation of risk by ambient air pollution

• Published in: Journal of advanced research Vol. 65; pp. 273 - 282
• Main Authors: Li, Yingmei, Wang, Hao, Xiao, Yang, Yang, Handong, Wang, Sihan, Liu, Ling, Cai, Hao, Zhang, Xiaomin, Tang, Huiru, Wu, Tangchun, Qiu, Gaokun
• Format: Journal Article
• Language: English
• Published: Egypt Elsevier B.V 01.11.2024
• Subjects: Ambient air pollution; Coronary heart disease; Lipidomics; Mediation; Risk prediction; Lipidomics; Risk prediction; Coronary heart disease; Mediation; Ambient air pollution; coronary heart disease; mediation; risk prediction; ambient air pollution; lipidomics
• ISSN: 2090-1232; 2090-1224; 2090-1224
• DOI: 10.1016/j.jare.2023.12.009

[Display omitted] •A panel of seven lipids increased c-statistic by an increment of 0.077, the greatest added value for prediction of incident CVD ever achieved by prospective lipidomics studies to the best of our knowledge.•Considerable mediations were observed through SM 41:1b, presumably SM(d18:1/23:0), in the associations between established cardiovascular risk factors and CHD risk, diabetes in particular.•CHD risk associated with increased levels of PC 36:0a, SM 41:1b, LPC 18:0 and LPC 20:3, and decreased levels of CE 18:2 were aggravated by long-term exposure to ambient air pollution. Previous lipidomics studies have identified various lipid predictors for cardiovascular risk, however, with limited predictive increment, sometimes using too many predictor variables at the expense of practical efficiency. To search for lipid predictors of future coronary heart disease (CHD) with stronger predictive power and efficiency to guide primary intervention. We conducted a prospective nested case-control study involving 1,621 incident CHD cases and 1:1 matched controls. Lipid profiling of 161 lipid species for baseline fasting plasma was performed by liquid chromatography-mass spectrometry. In search of CHD predictors, seven lipids were selected by elastic-net regression during over 90% of 1000 cross-validation repetitions, and the derived composite lipid score showed an adjusted odds ratio of 3.75 (95% confidence interval: 3.15, 4.46) per standard deviation increase. Addition of the lipid score into traditional risk model increased c-statistic to 0.736 by an increment of 0.077 (0.063, 0.092). From the seven lipids, we found mediation of CHD risk from baseline diabetes through sphingomyelin (SM) 41:1b with a considerable mediation proportion of 36.97% (P < 0.05). We further found that the positive associations of phosphatidylcholine (PC) 36:0a, SM 41:1b, lysophosphatidylcholine (LPC) 18:0 and LPC 20:3 were more pronounced among participants with higher exposure to fine particulate matter or its certain components, also to ozone for LPC 18:0 and LPC 20:3, while the negative association of cholesteryl ester (CE) 18:2 was attenuated with higher black carbon exposure (P < 0.05). We identified seven lipid species with greatest predictive increment so-far achieved for incident CHD, and also found novel biomarkers for CHD risk stratification among individuals with diabetes or heavy air pollution exposure.