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Other literature type . 2026
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Project proposal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Project proposal . 2026
License: CC BY
Data sources: Datacite
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Cellular Aging as an Information–Entropy Process: Rethinking the Biological Arrow of Time

Authors: Ndenga, Barack; Kayumba MD, Dr. Jean Michel;

Cellular Aging as an Information–Entropy Process: Rethinking the Biological Arrow of Time

Abstract

This foundational article proposes a paradigm shift in our understanding of cellular aging. Moving beyond the traditional model of aging as a passive accumulation of molecular damage, we conceptualize it as a directed process of information degradation and increasing system entropy. We argue that the core of aging is the progressive erosion of structured biological information—across genomic, epigenetic, proteomic, and network scales—coupled with a loss of regulatory fidelity. This information–entropy framework grounds the phenomenon of aging in the universal principles of thermodynamics and information theory, providing a unifying explanation for its directionality and systemic nature. The article outlines the theoretical foundations of this view, synthesizes key empirical evidence, and explores its transformative implications for redefining longevity research and therapeutic strategies.

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Keywords

Cellular aging,Biological information,Entropy,Information theory,Thermodynamics,Epigenetic drift,Transcriptional noise,Proteostasis,Systems biology, Biological noise,Longevity research Paradigm shift,Biomarkers of aging, Geroscience,Theoretical biology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green