Evidence mapPaperPMID 41220154Full record

ArticleJournal of the American Heart Association2025

Metabolic Vulnerability Index and Atherosclerosis Incident: A Prospective Cohort Study From the UK Biobank.

Xiangliang Liu, Xinqiao Chen, Wang Yang, Yuwei He, Yuting Liu, Yuguang Li, Naifei Chen, Jiuwei Cui

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Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiangliang LiuCancer Center The First Hospital of Jilin University Changchun China.ORCID 0000-0003-3082-2745
Xinqiao ChenCancer Center The First Hospital of Jilin University Changchun China.
Wang YangCancer Center The First Hospital of Jilin University Changchun China.
Yuwei HeCancer Center The First Hospital of Jilin University Changchun China.ORCID 0000-0002-2171-1034
Yuting LiuCancer Center The First Hospital of Jilin University Changchun China.
Yuguang LiCancer Center The First Hospital of Jilin University Changchun China.ORCID 0009-0008-7939-2866
Naifei ChenCancer Center The First Hospital of Jilin University Changchun China.ORCID 0000-0002-8625-5121
Jiuwei CuiCancer Center The First Hospital of Jilin University Changchun China.ORCID 0000-0001-6496-7550

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtherosclerosis 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.

methodsWe 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.

resultsHigher 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.

conclusionsThe 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.

Indexed as

AtherosclerosisInflammationMetabolic DiseasesAgedBiomarkersFemaleFollow-Up StudiesHeart Disease Risk FactorsHumansIncidenceMaleMetabolomicsMiddle AgedProspective StudiesRisk AssessmentUK BiobankBiomarkersatherosclerosiscardiovascularglycoprotein acetylsinflammationmetabolic vulnerabilitymetabolomics

Identifiers

PMID41220154
PMCPMC12887203

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.