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MIT researchers propose a new quantitative theory of aging, revealing that aging behaves like a dissipative system that gradually loses stability and order across cells, tissues, and genes.
The Discovery:
Scientists from the Massachusetts Institute of Technology have developed a Cellular Aging Map (CAM) that uses transformer-based AI to analyze over 65 million single-cell RNA profiles. The study shows that aging arises from dissipative dynamics, where molecular systems drift from stable (conservative) to unstable states, increasing entropy, a measurable loss of molecular order.
The Science:
Aging is modeled as a dynamical system governed by both conservative (stable) and dissipative (unstable) forces.
The team used ergodic theory and Hopf decomposition to mathematically separate these two components.
A transformer-based model trained on 1528 scRNA-seq datasets from 215 tissues and 616 cell types predicted molecular age and revealed distinct aging trajectories.
Some tissues, such as kidney and liver, showed consistent increases in entropy, signifying progressive molecular disorder.
Others, like endothelial cells, showed episodic spikes of entropy, suggesting temporary instability followed by recovery.
The model classified genes as conservative (stable, such as MKRN1, SESN1, ATR) or dissipative (variable, such as ALDH3B1, NR2C2, HERPUD1).
Disease conditions accelerated dissipation, transforming normally stable genes into unstable ones, showing pathology-driven molecular chaos.
Your Action:
These insights are not yet clinical, but they reinforce one clear truth: reducing biological entropy or loss of molecular order depends on daily stability.
Support your internal order through consistent sleep, stress control, and metabolic balance. These habits sustain cellular resilience while future entropy-targeting therapies are being developed.
Bottom Line:
Aging reflects a gradual loss of molecular order that AI can now measure and map across the human body.
Source:
The dissipation theory of aging: a quantitative analysis using a cellular aging map, npj Aging, Farhan Khodaee et al., Massachusetts Institute of Technology,
https://doi.org/10.1038/s41514-025-00277-2
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Disclaimer:
This newsletter is for informational purposes only and does not substitute professional medical advice. Always consult with a healthcare provider before making any changes to your health regimen.