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

IF 7.1 1区 医学 Q1 CELL BIOLOGY
Aging Cell Pub Date : 2026-07-01 DOI:10.1111/acel.70621
Yi-Long Huang, Wei-Ju Lee, Pei-Lin Lee, Li-Ning Peng, Fei-Yuan Hsiao, Liang-Kung Chen
{"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.

与老年人死亡率相关的肝脏和免疫富集分子特征。
量化生物衰老需要生物标志物来捕捉多系统生理衰退超出实足年龄。我们的目的是比较血浆蛋白质组学、代谢组学和全因死亡率的常规临床危险因素的预后表现,并表征与死亡风险和年龄相关的生理衰退相关的分子途径。来自I-Lan纵向衰老研究(ILAS)的848名社区居民的非靶向血浆蛋白质组学和代谢组学进行了分析,平均随访8.5年,期间发生了92例死亡。应用Cox比例风险模型确定死亡率相关的分子特征及其富集的生物学途径。我们鉴定出79种与全因死亡率(FDR)相关的蛋白
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Aging Cell
Aging Cell Biochemistry, 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) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) Biological Science Database (ProQuest) CAS: Chemical Abstracts Service (ACS) Embase (Elsevier) InfoTrac (GALE Cengage) Ingenta Select ISI Alerting Services Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) Natural Science Collection (ProQuest) PubMed Dietary Supplement Subset (NLM) Science Citation Index Expanded (Clarivate Analytics) SciTech Premium Collection (ProQuest) Web of Science (Clarivate Analytics) 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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书