Evidence map›Paper›PMID 40064119›Full record

ArticleRedox biology2025

The metabolic vulnerability index as a novel tool for mortality risk stratification in a large-scale population-based cohort.

Jialin Li, Qiuhong Man, Yingzhe Wang, Mei Cui, Jincheng Li, Kelin Xu, Zhenqiu Liu, Li Jin, Xingdong Chen, Chen Suo and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Redox biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jialin LiHuman Phenome Institute, Research and Innovation Center, Shanghai Pudong Hospital, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433, China; Fudan University, Taizhou Institute of Health Sciences, Taizhou, Jiangsu, 225326, China.
Qiuhong ManDepartment of Laboratory Medicine, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China.
Yingzhe WangDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Mei CuiDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Jincheng LiHuman Phenome Institute, Research and Innovation Center, Shanghai Pudong Hospital, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433, China; Fudan University, Taizhou Institute of Health Sciences, Taizhou, Jiangsu, 225326, China.
Kelin XuFudan University, Taizhou Institute of Health Sciences, Taizhou, Jiangsu, 225326, China; Ministry of Education Key Laboratory of Public Health Safety, Department of Biostatistics, School of Public Health, Fudan University, Shanghai, 200032, China.
Zhenqiu LiuHuman Phenome Institute, Research and Innovation Center, Shanghai Pudong Hospital, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433, China; Fudan University, Taizhou Institute of Health Sciences, Taizhou, Jiangsu, 225326, China.
Li JinFudan University, Taizhou Institute of Health Sciences, Taizhou, Jiangsu, 225326, China; State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, 200433, China.
Xingdong ChenFudan University, Taizhou Institute of Health Sciences, Taizhou, Jiangsu, 225326, China; State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, 200433, China; Yiwu Research Institute of Fudan University, Yiwu, Zhejiang, 322000, China.
Chen SuoFudan University, Taizhou Institute of Health Sciences, Taizhou, Jiangsu, 225326, China; Ministry of Education Key Laboratory of Public Health Safety, Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China. Electronic address: suochen@fudan.edu.cn.
Yanfeng JiangHuman Phenome Institute, Research and Innovation Center, Shanghai Pudong Hospital, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433, China; Fudan University, Taizhou Institute of Health Sciences, Taizhou, Jiangsu, 225326, China. Electronic address: yanfengjiang@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic malnutrition and inflammation-key mechanism links to redox imbalance-are fundamental pathologies that accelerate aging and disease progression, ultimately leading to death. The recently proposed metabolic vulnerability index (MVX) integrates multiple circulatory biomarkers closely linked to both metabolic and inflammatory factors. This study aims to assess MVX's potential to predict mortality in community-based population. In this large community-based prospective study, we included UK Biobank participants who underwent plasma metabolomics analysis. Gender-specific MVX scores were calculated based on six established biomarkers of mortality. Linear and non-linear associations between MVX and mortality were assessed using Cox proportional hazards models and restricted cubic spline models, respectively. Among the 274,092 UKB participants, 24,241 all-cause deaths occurred during a median follow-up period of 13.7 years. A significant, graded positive association was observed between MVX quartiles and all-cause mortality risk (P for trend <0.05), with the highest MVX quartile exhibiting the greatest risk (HR = 1.21 and 95 % CI = 1.16-1.25 after full adjustment). Females had higher MVX score than males (P < 0.05), but males with the same MVX score faced a greater mortality risk. Baseline age and comorbidities interacted (P for interaction <0.05 and synergy index >1) with MVX on mortality risk. Longitudinal analyses showed that females with persistently high MVX score had a significantly increased risk of mortality (HR = 1.39 in fully adjusted model). Collectively, these findings highlight MVX as a novel tool that captures metabolic and potential redox vulnerabilities in community residents, and serves as a valuable resource for identifying high-risk individuals of mortality. Further research is warranted to investigate the underlying mechanisms and establish causal relationships.

Indexed as

BiomarkersMetabolomicsAgedFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk AssessmentRisk FactorsUnited KingdomBiomarkersInflammationMetabolic malnutritionMetabolic vulnerabilityMortalityProspective study

Identifiers

PMID40064119
PMCPMC11930697

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.