医学
生命银行
前瞻性队列研究
内科学
体质指数
队列研究
代谢综合征
四分位数
社区动脉粥样硬化风险
风险评估
脂联素
疾病
队列
比例危险模型
孟德尔随机化
鹿特丹研究
混淆
动脉粥样硬化性心血管疾病
流行病学
弗雷明翰风险评分
胆固醇
纤维蛋白原
优势比
病例对照研究
人口
风险因素
人体测量学
环境卫生
C反应蛋白
低风险
瑞舒伐他汀
生物标志物
作者
Xiangliang Liu,Xinqiao Chen,Wang Yang,Yuwei He,Yuting Liu,Yuguang Li,Naifei Chen,Jiuwei Cui
标识
DOI:10.1161/jaha.125.043538
摘要
Background Atherosclerosis underlies most cardiovascular disease, but traditional factors incompletely explain risk. This study examined whether a novel Metabolic Vulnerability Index (MVX), integrating inflammatory and metabolic biomarkers, predicts incident atherosclerosis independently of traditional and genetic risks. Methods We analyzed data from 171 600 participants in the UK Biobank without baseline atherosclerotic disease (median follow‐up, 13.6 years). MVX was derived from nuclear magnetic resonance metabolomics and comprised 2 components: the Inflammatory Vulnerability Index (including glycoprotein acetyls and small high‐density lipoprotein particle concentration) and the Metabolic Malnutrition Index (including branched‐chain amino acids and citrate). Associations with incident atherosclerosis (ascertained via hospitalizations and death) were analyzed using Cox models adjusted for demographics and clinical and lifestyle factors. Secondary analyses evaluated MVX components independently and examined potential effect modification by genetic risk using low‐density lipoprotein cholesterol polygenic risk scores. Results Higher MVX predicted significantly increased atherosclerosis risk (hazard ratio [HR] per SD: 1.22 [95% CI, 1.19–1.25]). The highest MVX quartile had 59% greater risk compared with the lowest (HR, 1.59 [95% CI, 1.49–1.69]). This association persisted after adjustment for traditional cardiovascular risk factors. The Inflammatory Vulnerability Index demonstrated robust positive associations with atherosclerosis (adjusted HR per SD, 1.18 [95% CI, 1.15–1.21]). MVX–atherosclerosis associations remained consistent across different genetic risk strata and demographic subgroups. Conclusions The MVX, particularly its inflammatory component, independently predicts atherosclerosis risk beyond traditional risk factors. This supports comprehensive metabolic profiling for refined risk assessment and underscores inflammation’s central role in atherosclerosis progression, highlighting potential novel intervention targets.
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