Evidence map›Paper›PMID 42437926›Full record

ArticleCardiovascular diabetology2026

Plasma proteomic profiling deciphers molecular dynamics linking insulin resistance to multiple chronic diseases and mortality.

Zong-Lei Zhou, Li-Gang Zhou, Chun-Hua Qu, Chun-Xiang Fan, Hai-Hong Qu, Jun Li, Cheng-Xia Wei, Wu Wang, Xu-Hui Bao, Ji-Yu Li

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Zong-Lei ZhouCenter for Medical Research and Innovation, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Li-Gang ZhouDepartment of Endocrinology, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Chun-Hua QuDepartment of Outpatient and Emergency, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Chun-Xiang FanDepartment of Traditional Chinese Medicine, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Hai-Hong QuDepartment of Nursing, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Jun LiDepartment of Scientific Research, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Cheng-Xia WeiDepartment of Nursing, Shanghai Pudong New Area Guangming Hospital of Traditional Chinese Medicine, Shanghai, China. xia97229@163.com.
Wu WangDepartment of Rehabilitation, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China. wangwu0727@126.com.
Xu-Hui BaoCenter for Clinical Research, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China. xuhui_bao@fudan.edu.cn.
Ji-Yu LiSports-Medicine Integration Chronic Disease Rehabilitation Center, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China. lijiyu@fudan.edu.cn.

Funding

AI-Driven Causal Analytics for Multimodal Disease Data in Healthcare Management 202401065Healthcare Talents Youth Program of Shanghai Pudong New Area 2026PDWSYCQN-15Integrated Large Model Platform Project of Clinical and Scientific Research for Chronic Disease Management 2024-GZL-RGZN-02012Weight Management Center Project Through the Integration of Exercise and Medicine with Smart Management TZGL2025
6 · The paper itself

Abstract

backgroundInsulin resistance (IR) correlates with a wide spectrum of diseases and death. However, the specific proteomic signatures of IR and their associations with health outcomes remain incompletely understood.

methodsLeveraging data of 2,920 plasma proteins from 19,556 individuals in UK biobank study, we employed the elastic net model to dissect IR-related proteins and construct proteomic signature scores. Cox proportional hazards model was fitted to examine the longitudinal associations of distinct IR indicators and their proteomic signatures with multiple chronic disease and mortality. Mediation analyses were conducted to explore the role of individual proteins and proteomic signatures in IR-disease associations.

resultsOver a mean follow-up of over 12 years, higher levels of IR surrogate makers were linked to cardiovascular-kidney-metabolic events and mortality, with eGDR outperforming other metrics in predictive discrimination. Furthermore, most IR proteomic signatures were prospectively associated with the incidence of type 2 diabetes mellitus, ischemic heart diseases, stroke, chronic kidney diseases, and mortality. Proteins associated with IR were primarily enriched in inflammation, immune response, and lipid metabolism, with immune-related proteins holding crucial roles. Multiple IR-disease associations were significantly mediated by proteomic signatures and specific proteins, like HAVCR1, CXCL17, and GDF15.

conclusionThis study probed into the plasma proteomic profiles in IR settings and the associations of relevant protein signatures with multiple chronic diseases and mortality, providing additional guidelines on targeted intervention strategies for cardiovascular-kidney-metabolic outcomes.

Indexed as

Blood ProteinsCardiovascular DiseasesInsulin ResistanceProteomicsAgedBiomarkersChronic DiseaseFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRisk AssessmentRisk FactorsTime FactorsBiomarkersBlood Proteins

Identifiers

PMID42437926
PMCPMC13643995

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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.