Evidence mapPaperPMID 42047201Full record

ArticleJournal of the American Heart Association2026

Plasma Multiomics Links Early-Life Adversity to Disease and Cardiometabolic Health: A Population-Based Cohort Study.

Qida He, Mengtong Sun, Feng Huang, Xianzhu Cong, Xun Sun, Yue Huang, Aimin Wang, Yujia Kong, Fuyan Shi, Suzhen Wang and 1 more

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Article in Journal of the American Heart Association, 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

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Qida He *Department of Infectious Diseases and Public Health City University of Hong Kong Hong Kong China.ORCID 0000-0003-0796-7620
Mengtong Sun *Department of Infectious Diseases and Public Health City University of Hong Kong Hong Kong China.ORCID 0000-0002-6373-0997
Feng HuangState Key Laboratory of Cognitive Science and Mental Health Institute of Psychology, Chinese Academy of Sciences Beijing China.
Xianzhu CongDepartment of Biostatistics, School of Public Health Shandong Second Medical University Weifang China.ORCID 0009-0002-2008-6924
Xun SunDepartment of Biostatistics, School of Public Health Shandong Second Medical University Weifang China.ORCID 0009-0002-0796-7786
Yue HuangDepartment of Biostatistics, School of Public Health Shandong Second Medical University Weifang China.ORCID 0009-0006-8896-7065
Aimin WangDepartment of Biostatistics, School of Public Health Shandong Second Medical University Weifang China.
Yujia KongDepartment of Biostatistics, School of Public Health Shandong Second Medical University Weifang China.ORCID 0000-0002-3806-1613
Fuyan ShiDepartment of Biostatistics, School of Public Health Shandong Second Medical University Weifang China.ORCID 0000-0002-0972-8335
Suzhen WangDepartment of Biostatistics, School of Public Health Shandong Second Medical University Weifang China.ORCID 0009-0009-5078-1806
Na SunDepartment of Biostatistics, School of Public Health Shandong Second Medical University Weifang China.ORCID 0000-0003-1433-8283

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildhood adversity (CA) is associated with increased cardiovascular and cardiometabolic risk, but the molecular mechanisms remain unclear. We aimed to identify CA-related metabolomic and proteomic signatures and evaluate their roles in linking CA to incident diseases.

methodsThis prospective cohort study included 153 225 participants aged 48 to 64 years. CA was assessed using the Childhood Trauma Screener-5, capturing cumulative (0-5 domains) and individual adversity exposures. Plasma metabolomics and proteomics data were integrated to derive CA-related molecular signatures. Cox proportional hazards model was used to evaluate associations between CA, molecular signatures, and 58 incident diseases and mortality. Mediation analyses quantified the role of multiomics signatures.

resultsEach additional CA domain was associated with higher risk of 49 of 58 incident diseases (hazard ratios [HRs], 1.024-1.338) and a 7.3% higher all-cause mortality risk. Focusing on cardiometabolic health, the CA-related metabolic and proteomic signatures were independently associated with incident disease. Per 1-SD increase in the cumulative CA metabolic signature, the highest observed HR was 1.313 (95% CI, 1.278-1.349) for incident diabetes, and the risk for hypertension was also increased (HR, 1.136 95% CI, 1.114-1.159). Similarly, the proteomic signature was strongly associated with incident diabetes (HR, 1.645 95% CI, 1.489-1.818) and hypertension (HR, 1.223 95% CI, 1.155-1.295). The cumulative CA metabolic and proteomic signatures mediated up to 25.5% and 46.8% of the association with hypertension, respectively.

conclusionsCA is associated with a broad spectrum of diseases and mortality, with particularly strong links to cardiometabolic health. Multiomics signatures partially mediated these associations.

Indexed as

Adverse Childhood ExperiencesCardiovascular DiseasesMetabolomicsBiomarkersCardiometabolic Risk FactorsFemaleHumansIncidenceMaleMiddle AgedMultiomicsProspective StudiesProteomicsRisk AssessmentRisk FactorsBiomarkerscardiometabolic diseaseschildhood adversitymetabolomicsmortalityproteomics

Identifiers

PMID42047201
PMCPMC13279533

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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.