Martin Alvarez-Kuglen, Kenta Ninomiya, Haodong Qin, Delany Rodriguez, Lorenzo Fiengo, Chen Farhy, Wei-Mien Hsu, Brian Kirk, Aaron Havas, Gen-Sheng Feng, Amanda J. Roberts, Rozalyn M. Anderson, Manuel Serrano, Peter D. Adams, Tatyana O. Sharpee, Alexey V. Terskikh
{"title":"ImAge quantitates aging and rejuvenation","authors":"Martin Alvarez-Kuglen, Kenta Ninomiya, Haodong Qin, Delany Rodriguez, Lorenzo Fiengo, Chen Farhy, Wei-Mien Hsu, Brian Kirk, Aaron Havas, Gen-Sheng Feng, Amanda J. Roberts, Rozalyn M. Anderson, Manuel Serrano, Peter D. Adams, Tatyana O. Sharpee, Alexey V. Terskikh","doi":"10.1038/s43587-024-00685-1","DOIUrl":null,"url":null,"abstract":"For efficient, cost-effective and personalized healthcare, biomarkers that capture aspects of functional, biological aging, thus predicting disease risk and lifespan more accurately and reliably than chronological age, are essential. We developed an imaging-based chromatin and epigenetic age (ImAge) that captures intrinsic age-related trajectories of the spatial organization of chromatin and epigenetic marks in single nuclei, in mice. We show that such trajectories readily emerge as principal changes in each individual dataset without regression on chronological age, and that ImAge can be computed using several epigenetic marks and DNA labeling. We find that interventions known to affect biological aging induce corresponding effects on ImAge, including increased ImAge upon chemotherapy treatment and decreased ImAge upon caloric restriction and partial reprogramming by transient OSKM expression in liver and skeletal muscle. Further, ImAge readouts from chronologically identical mice inversely correlated with their locomotor activity, suggesting that ImAge may capture elements of biological and functional age. In sum, we developed ImAge, an imaging-based biomarker of aging with single-cell resolution rooted in the analysis of spatial organization of epigenetic marks. Alvarez-Kuglen, Ninomiya, Qin, Rodriguez et al. demonstrate that the spatial organization of chromatin and epigenetic marks in individual nuclei follows age-related trajectories that can be captured by an imaging-based biomarker of aging (ImAge).","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":null,"pages":null},"PeriodicalIF":17.0000,"publicationDate":"2024-08-29","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/s43587-024-00685-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
For efficient, cost-effective and personalized healthcare, biomarkers that capture aspects of functional, biological aging, thus predicting disease risk and lifespan more accurately and reliably than chronological age, are essential. We developed an imaging-based chromatin and epigenetic age (ImAge) that captures intrinsic age-related trajectories of the spatial organization of chromatin and epigenetic marks in single nuclei, in mice. We show that such trajectories readily emerge as principal changes in each individual dataset without regression on chronological age, and that ImAge can be computed using several epigenetic marks and DNA labeling. We find that interventions known to affect biological aging induce corresponding effects on ImAge, including increased ImAge upon chemotherapy treatment and decreased ImAge upon caloric restriction and partial reprogramming by transient OSKM expression in liver and skeletal muscle. Further, ImAge readouts from chronologically identical mice inversely correlated with their locomotor activity, suggesting that ImAge may capture elements of biological and functional age. In sum, we developed ImAge, an imaging-based biomarker of aging with single-cell resolution rooted in the analysis of spatial organization of epigenetic marks. Alvarez-Kuglen, Ninomiya, Qin, Rodriguez et al. demonstrate that the spatial organization of chromatin and epigenetic marks in individual nuclei follows age-related trajectories that can be captured by an imaging-based biomarker of aging (ImAge).