Evidence map›Paper›PMID 40321941›Full record

ArticleArXiv2025

The Dissipation Theory of Aging: A Quantitative Analysis Using a Cellular Aging Map.

Farhan Khodaee, Rohola Zandie, Yufan Xia, Elazer R Edelman

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Farhan KhodaeeInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, 02139, MA, USA.
Rohola ZandieInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, 02139, MA, USA.
Yufan XiaInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, 02139, MA, USA.
Elazer R EdelmanInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, 02139, MA, USA.

Funding

Personalized lesion modification optimizes atherosclerosis interventionR01HL161069 · NHLBI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI EDELMAN, ELAZER R · 2022 to 2025
$2.8M
NHLBI NIH HHS R01 HL161069
6 · The paper itself

Abstract

We propose a new theory for aging based on dynamical systems and provide a data-driven computational method to quantify the changes at the cellular level. We use ergodic theory to decompose the dynamics of changes during aging and show that aging is fundamentally a dissipative process within biological systems, akin to dynamical systems where dissipation occurs due to non-conservative forces. To quantify the dissipation dynamics, we employ a transformer-based machine learning algorithm to analyze gene expression data, incorporating age as a token to assess how age-related dissipation is reflected in the embedding space. By evaluating the dynamics of gene and age embeddings, we provide a cellular aging map (CAM) and identify patterns indicative of divergence in gene embedding space, nonlinear transitions, and entropy variations during aging for various tissues and cell types. Our results provide a novel perspective on aging as a dissipative process and introduce a computational framework that enables measuring age-related changes with molecular resolution.

Indexed as

agingdissipationdynamical systemslanguage modelingmultimodal foundation modelsingle-cell RNA sequencing

Identifiers

PMID40321941
PMCPMC12047931

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.