{"title":"Liver- and Immune-Enriched Molecular Signatures Associated With Mortality in Older Adults.","authors":"Yi-Long Huang, Wei-Ju Lee, Pei-Lin Lee, Li-Ning Peng, Fei-Yuan Hsiao, Liang-Kung Chen","doi":"10.1111/acel.70621","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":119,"journal":{"name":"Aging Cell","volume":"25 7","pages":"e70621"},"PeriodicalIF":7.1000,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13372077/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aging Cell","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1111/acel.70621","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
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.
Aging CellBiochemistry, Genetics and Molecular Biology-Cell Biology
自引率
2.60%
发文量
212
期刊介绍:
Aging Cell is an Open Access journal that focuses on the core aspects of the biology of aging, encompassing the entire spectrum of geroscience. The journal's content is dedicated to publishing research that uncovers the mechanisms behind the aging process and explores the connections between aging and various age-related diseases. This journal aims to provide a comprehensive understanding of the biological underpinnings of aging and its implications for human health.
The journal is widely recognized and its content is abstracted and indexed by numerous databases and services, which facilitates its accessibility and impact in the scientific community. These include:
Academic Search (EBSCO Publishing)
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Being indexed in these databases ensures that the research published in Aging Cell is discoverable by researchers, clinicians, and other professionals interested in the field of aging and its associated health issues. This broad coverage helps to disseminate the journal's findings and contributes to the advancement of knowledge in geroscience.