Early prediction of healthy ageing and age-related diseases using blood protein biomarkers

IF 18.9 1区 医学 Q1 ENDOCRINOLOGY & METABOLISM
{"title":"Early prediction of healthy ageing and age-related diseases using blood protein biomarkers","authors":"","doi":"10.1038/s42255-024-01199-1","DOIUrl":null,"url":null,"abstract":"Ageing is associated with proteomic changes in the blood. However, most research on the ageing blood proteome is cross-sectional in nature. Using a longitudinal analysis, we identified 86 ageing-related blood proteins and further revealed a subset of 22 protein biomarkers that, in combination, predict healthy ageing status and age-related cardiometabolic disease risk.","PeriodicalId":19038,"journal":{"name":"Nature metabolism","volume":"36 1","pages":""},"PeriodicalIF":18.9000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s42255-024-01199-1","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

Abstract

Ageing is associated with proteomic changes in the blood. However, most research on the ageing blood proteome is cross-sectional in nature. Using a longitudinal analysis, we identified 86 ageing-related blood proteins and further revealed a subset of 22 protein biomarkers that, in combination, predict healthy ageing status and age-related cardiometabolic disease risk.

Abstract Image

利用血液蛋白生物标志物对健康老龄化和年龄相关疾病进行早期预测
衰老与血液中的蛋白质组变化有关。然而,大多数关于衰老血液蛋白质组的研究本质上是横断面的。通过纵向分析,我们确定了86种与衰老相关的血液蛋白,并进一步揭示了22种蛋白质生物标志物的子集,这些标志物结合起来可以预测健康的衰老状态和与年龄相关的心脏代谢疾病风险。
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
Nature metabolism
Nature metabolism ENDOCRINOLOGY & METABOLISM-
CiteScore
27.50
自引率
2.40%
发文量
170
期刊介绍: Nature Metabolism is a peer-reviewed scientific journal that covers a broad range of topics in metabolism research. It aims to advance the understanding of metabolic and homeostatic processes at a cellular and physiological level. The journal publishes research from various fields, including fundamental cell biology, basic biomedical and translational research, and integrative physiology. It focuses on how cellular metabolism affects cellular function, the physiology and homeostasis of organs and tissues, and the regulation of organismal energy homeostasis. It also investigates the molecular pathophysiology of metabolic diseases such as diabetes and obesity, as well as their treatment. Nature Metabolism follows the standards of other Nature-branded journals, with a dedicated team of professional editors, rigorous peer-review process, high standards of copy-editing and production, swift publication, and editorial independence. The journal has a high impact factor, has a certain influence in the international area, and is deeply concerned and cited by the majority of scholars.
×
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