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December 10, 2025Nature CommunicationsOpen Access

Reading the immune clock: a machine learning model predicts mouse immune age from cellular patterns

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Authors

HSHyun Bo SimJJJi-Hun JangSMSeul‐Ki Mun

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Overview

Observational analysis predicts immunological age using a machine learning model for murine immune cells, suggesting implications for immune senescence.

Key Points

  • Model accurately predicts immune age based on cellular patterns, highlighting the potential of machine learning.
  • Mass cytometry was used to analyze murine splenic CD45⁺ immune cells, profiling 30 protein markers.
  • The approach employs support vector regression to predict immune aging in mouse models including obese specimens.
  • Findings may enable better understanding and assessment of immune aging and its relation to metabolic dysfunction.

Cite This Study

Sim et al. (2025) studied this question.

synapsesocial.com/papers/69401b3d2d562116f28f806ehttps://doi.org/10.1038/s41467-025-67393-1
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