基于血浆蛋白的器官特异性衰老和死亡模型揭示了疾病是机体系统加速衰老的表现

IF 27.7 1区 生物学 Q1 CELL BIOLOGY
Ludger J.E. Goeminne, Anastasiya Vladimirova, Alec Eames, Alexander Tyshkovskiy, M. Austin Argentieri, Kejun Ying, Mahdi Moqri, Vadim N. Gladyshev
{"title":"基于血浆蛋白的器官特异性衰老和死亡模型揭示了疾病是机体系统加速衰老的表现","authors":"Ludger J.E. Goeminne, Anastasiya Vladimirova, Alec Eames, Alexander Tyshkovskiy, M. Austin Argentieri, Kejun Ying, Mahdi Moqri, Vadim N. Gladyshev","doi":"10.1016/j.cmet.2024.10.005","DOIUrl":null,"url":null,"abstract":"Aging is a complex process manifesting at molecular, cellular, organ, and organismal levels. It leads to functional decline, disease, and ultimately death, but the relationship between these fundamental biomedical features remains elusive. By applying elastic net regularization to plasma proteome data of over 50,000 human subjects in the UK Biobank and other cohorts, we report interpretable organ-specific and conventional aging models trained on chronological age, mortality, and longitudinal proteome data. These models predict organ/system-specific disease and indicate that men age faster than women in most organs. Accelerated organ aging leads to diseases in these organs, and specific diets, lifestyles, professions, and medications influence organ aging rates. We then identify proteins driving these associations with organ-specific aging. Our analyses reveal that age-related chronic diseases epitomize accelerated organ- and system-specific aging, modifiable through environmental factors, advocating for both universal whole-organism and personalized organ/system-specific anti-aging interventions.","PeriodicalId":9840,"journal":{"name":"Cell metabolism","volume":"126 1","pages":""},"PeriodicalIF":27.7000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Plasma protein-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems\",\"authors\":\"Ludger J.E. Goeminne, Anastasiya Vladimirova, Alec Eames, Alexander Tyshkovskiy, M. Austin Argentieri, Kejun Ying, Mahdi Moqri, Vadim N. Gladyshev\",\"doi\":\"10.1016/j.cmet.2024.10.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aging is a complex process manifesting at molecular, cellular, organ, and organismal levels. It leads to functional decline, disease, and ultimately death, but the relationship between these fundamental biomedical features remains elusive. By applying elastic net regularization to plasma proteome data of over 50,000 human subjects in the UK Biobank and other cohorts, we report interpretable organ-specific and conventional aging models trained on chronological age, mortality, and longitudinal proteome data. These models predict organ/system-specific disease and indicate that men age faster than women in most organs. Accelerated organ aging leads to diseases in these organs, and specific diets, lifestyles, professions, and medications influence organ aging rates. We then identify proteins driving these associations with organ-specific aging. Our analyses reveal that age-related chronic diseases epitomize accelerated organ- and system-specific aging, modifiable through environmental factors, advocating for both universal whole-organism and personalized organ/system-specific anti-aging interventions.\",\"PeriodicalId\":9840,\"journal\":{\"name\":\"Cell metabolism\",\"volume\":\"126 1\",\"pages\":\"\"},\"PeriodicalIF\":27.7000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell metabolism\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cmet.2024.10.005\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell metabolism","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.cmet.2024.10.005","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

衰老是一个复杂的过程,表现在分子、细胞、器官和机体层面。它导致功能衰退、疾病和最终死亡,但这些基本生物医学特征之间的关系仍然难以捉摸。通过对英国生物库和其他队列中超过 50,000 名人类受试者的血浆蛋白质组数据应用弹性网正则化,我们报告了根据年代年龄、死亡率和纵向蛋白质组数据训练的可解释器官特异性和常规衰老模型。这些模型可预测器官/系统特异性疾病,并表明在大多数器官中,男性比女性衰老得更快。器官衰老的加速会导致这些器官的疾病,而特定的饮食、生活方式、职业和药物会影响器官衰老的速度。然后,我们确定了这些与器官特异性衰老相关的蛋白质。我们的分析表明,与年龄相关的慢性疾病是器官和系统特异性衰老加速的缩影,可通过环境因素改变,这就需要采取普遍的全器官和个性化的器官/系统特异性抗衰老干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Plasma protein-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems

Plasma protein-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems
Aging is a complex process manifesting at molecular, cellular, organ, and organismal levels. It leads to functional decline, disease, and ultimately death, but the relationship between these fundamental biomedical features remains elusive. By applying elastic net regularization to plasma proteome data of over 50,000 human subjects in the UK Biobank and other cohorts, we report interpretable organ-specific and conventional aging models trained on chronological age, mortality, and longitudinal proteome data. These models predict organ/system-specific disease and indicate that men age faster than women in most organs. Accelerated organ aging leads to diseases in these organs, and specific diets, lifestyles, professions, and medications influence organ aging rates. We then identify proteins driving these associations with organ-specific aging. Our analyses reveal that age-related chronic diseases epitomize accelerated organ- and system-specific aging, modifiable through environmental factors, advocating for both universal whole-organism and personalized organ/system-specific anti-aging interventions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Cell metabolism
Cell metabolism 生物-内分泌学与代谢
CiteScore
48.60
自引率
1.40%
发文量
173
审稿时长
2.5 months
期刊介绍: Cell Metabolism is a top research journal established in 2005 that focuses on publishing original and impactful papers in the field of metabolic research.It covers a wide range of topics including diabetes, obesity, cardiovascular biology, aging and stress responses, circadian biology, and many others. Cell Metabolism aims to contribute to the advancement of metabolic research by providing a platform for the publication and dissemination of high-quality research and thought-provoking articles.
×
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:481959085
Book学术官方微信