Evidence map›Paper›PMID 42455656›Full record

ArticleAging cell2026

Liver- and Immune-Enriched Molecular Signatures Associated With Mortality in Older Adults.

Yi-Long Huang, Wei-Ju Lee, Pei-Lin Lee, Li-Ning Peng, Fei-Yuan Hsiao, Liang-Kung Chen

Abstract read
In one paragraph

Article in Aging cell, 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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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

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3 · Its place in the literature

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yi-Long HuangCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Wei-Ju LeeCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID https://orcid.org/0000-0003-4326-333X
Pei-Lin LeeCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-3041-8710
Li-Ning PengCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Fei-Yuan HsiaoGraduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.
Liang-Kung ChenCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-2387-8508

Funding

Interdisciplinary Research Center for Healthy Longevity of National Yang Ming Chiao Tung UniversityNational Science and Technology Council, Taiwan 114-2321-B-A49-012The Ministry of Education in Taiwan
6 · The paper itself

Abstract

Quantifying biological aging requires biomarkers that capture multisystem physiological decline beyond chronological age. We aimed to compare the prognostic performance of plasma proteomics, metabolomics, and conventional clinical risk factors for all-cause mortality, and to characterize molecular pathways associated with mortality risk and age-related physiological decline. Untargeted plasma proteomics and metabolomics were profiled in 848 community-dwelling adults from the I-Lan Longitudinal Aging Study (ILAS), followed for a mean of 8.5 years, during which 92 deaths occurred. Cox proportional hazards models were applied to identify mortality-associated molecular features and their enriched biological pathways. We identified 79 proteins associated with all-cause mortality (FDR < 0.1), predominantly liver-derived and immune-related. Pathway analysis revealed coordinated dysregulation across coagulation cascades, complement activation, oxidative stress responses, glucose metabolism, and bile acid metabolism. Elastic net regression was subsequently used to construct omics-based mortality risk scores, which were further evaluated in an independent validation cohort from the Longitudinal Aging Study of Taipei (LAST). A 20-protein mortality score achieved strong discrimination (C-index 0.81), outperforming metabolite-based models (C-index 0.77) and clinical risk factors (C-index 0.73) in the discovery cohort. In the external validation cohort, both proteomic- and metabolomic-derived scores showed directionally consistent associations with mortality risk. Together, these findings identify liver- and immune-enriched molecular signatures associated with mortality risk in older adults and support the utility of plasma multi-omics profiling as a scalable precision tool for biological age assessment. The identified proteomic and metabolomic pathways may help inform future interventions targeting systemic aging and age-related functional decline.

Indexed as

AgingLiverAgedAged, 80 and overBiomarkersFemaleHumansLongitudinal StudiesMaleMetabolomicsProteomicsBiomarkersagingbiomarkerscohort studycox regressionmetabolomicsmortality riskproteomics

Identifiers

PMID42455656
PMCPMC13372077

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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.