{"title":"血液中与衰老相关的蛋白质可以预测衰老特征。","authors":"","doi":"10.1038/s43587-025-00891-5","DOIUrl":null,"url":null,"abstract":"We used machine learning to identify senescence markers in the blood that are associated with signs of aging, such as frailty, high cholesterol levels, inflammation and increased body fat. These markers strongly reflected monocyte senescence in two independent human aging cohorts.","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":"5 7","pages":"1191-1192"},"PeriodicalIF":19.4000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Senescence-related proteins in blood predict aging traits\",\"authors\":\"\",\"doi\":\"10.1038/s43587-025-00891-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We used machine learning to identify senescence markers in the blood that are associated with signs of aging, such as frailty, high cholesterol levels, inflammation and increased body fat. These markers strongly reflected monocyte senescence in two independent human aging cohorts.\",\"PeriodicalId\":94150,\"journal\":{\"name\":\"Nature aging\",\"volume\":\"5 7\",\"pages\":\"1191-1192\"},\"PeriodicalIF\":19.4000,\"publicationDate\":\"2025-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature aging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s43587-025-00891-5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature aging","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s43587-025-00891-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
Senescence-related proteins in blood predict aging traits
We used machine learning to identify senescence markers in the blood that are associated with signs of aging, such as frailty, high cholesterol levels, inflammation and increased body fat. These markers strongly reflected monocyte senescence in two independent human aging cohorts.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
