PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 27, 2026Nature Biomedical Engineering2 citationsOpen Access

Human microphysiological systems of aging recreate the in vivo process expediting evaluation of anti-geronic strategies

LQLin QiYHYuchen HeASAlexandra Sviercovich

Key Points

  • The aim is to develop a model to study human aging and rejuvenation mechanisms using microphysiological systems.
  • Created a microphysiological system using human induced pluripotent stem cells.
  • Modelled the white adipose tissue-liver axis with heterochronic human serum.
  • Analyzed changes in aging-related molecular hallmarks and signaling networks.
  • Utilized machine learning to assess biological age.
  • Identified aging-associated changes in gene expression and oxidative DNA damage.
  • Discovered unknown biomarkers and mechanisms influencing tissue aging.
  • Reproduced decades-long aging effects within four days using the microphysiological system.
  • Demonstrated potential for testing anti-geronic strategies effectively.

Abstract

Abstract The search for biological mechanisms of human aging is stalled by a lack of suitable models, and it remains unknown whether and to what degree rejuvenation reported in rodents translates to people. Here we report a human induced pluripotent stem cell-derived microphysiological system modelling the white adipose tissue–liver axis in the presence of heterochronic human serum to study aging and rejuvenation in humans. We reveal changes in functional and molecular hallmarks of aging and rejuvenation. We also investigate unknown biomarkers and mechanisms of plasticity in human tissue aging and potential rejuvenation strategies. The microphysiological chip recapitulates, in 4 days, aging-associated hallmarks that occur after decades of aging in people, including gerontic shifts in gene expression and oxidative DNA damage. We uncover unknown signalling networks in human aging, knock-on effects of aging in fat on liver, sexual polymorphisms of aging and tissue memory of age, and develop a custom machine learning model for biological age. Combining heterochronic human serum with the microphysiological system allows for rapidly establishing human tissue aging, discovering clinically relevant mechanisms and biomarkers, and testing of anti-geronic approaches.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Qi et al. (2026) studied this question.

synapsesocial.com/papers/69c6207d15a0a509bde18f10https://doi.org/10.1038/s41551-026-01618-6
Ask AI
Helpful
Bookmark
Share
View Full Paper