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ImAge quantitates aging and rejuvenation.
Alvarez-Kuglen, Martin; Ninomiya, Kenta; Qin, Haodong; Rodriguez, Delany; Fiengo, Lorenzo; Farhy, Chen; Hsu, Wei-Mien; Kirk, Brian; Havas, Aaron; Feng, Gen-Sheng; Roberts, Amanda J; Anderson, Rozalyn M; Serrano, Manuel; Adams, Peter D; Sharpee, Tatyana O; Terskikh, Alexey V.
Affiliation
  • Alvarez-Kuglen M; Sanford Burnham Prebys, La Jolla, CA, USA.
  • Ninomiya K; Harry Perkins Institute of Medical Research, The University of Western Australia, Perth, Western Australia, Australia.
  • Qin H; Department of Physics, University of California San Diego, La Jolla, CA, USA.
  • Rodriguez D; Sanford Burnham Prebys, La Jolla, CA, USA.
  • Fiengo L; Sanford Burnham Prebys, La Jolla, CA, USA.
  • Farhy C; Sanford Burnham Prebys, La Jolla, CA, USA.
  • Hsu WM; Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Kirk B; Sanford Burnham Prebys, La Jolla, CA, USA.
  • Havas A; Sanford Burnham Prebys, La Jolla, CA, USA.
  • Feng GS; School of Medicine, Univerity of California San Diego, La Jolla, CA, USA.
  • Roberts AJ; The Scripps Research Institute, La Jolla, CA, USA.
  • Anderson RM; University of Wisconsin, Madison, WI, USA.
  • Serrano M; GRECC, William S Middleton Memorial Veterans Hospital, Madison, WI, USA.
  • Adams PD; Institute for Research in Biomedicine (IRB Barcelona), Barcelona, Spain.
  • Sharpee TO; Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
  • Terskikh AV; Altos Labs, Cambridge Institute of Science, Granta Park, UK.
Nat Aging ; 4(9): 1308-1327, 2024 Sep.
Article in En | MEDLINE | ID: mdl-39210148
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.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Rejuvenation / Aging / Epigenesis, Genetic Limits: Animals Language: En Journal: Nat Aging Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Rejuvenation / Aging / Epigenesis, Genetic Limits: Animals Language: En Journal: Nat Aging Year: 2024 Type: Article Affiliation country: United States