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Reprogramming: Emerging Strategies to Rejuvenate Aging Cells and Tissues

Alle, Quentin, Le Borgne, Enora, Milhavet, Ollivier, Lemaitre, Jean-Marc·2021·International Journal of Molecular Sciences

Abstract

Aging is associated with a progressive and functional decline of all tissues and a striking increase in many “age-related diseases”. Although aging has long been considered an inevitable process, strategies to delay and potentially even reverse the aging process have recently been developed. Here, we review emerging rejuvenation strategies that are based on reprogramming toward pluripotency. Some of these approaches may eventually lead to medical applications to improve healthspan and longevity.

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  • Loss of epigenetic information has been proposed as a critical cause of aging that precedes many other aspects of age-related deterioration.

    “Among the hallmarks of aging, loss of epigenetic information has been proposed as a critical cause of aging that precedes many other aspects of age-related deterioration 2,[5][6][7][8] .”

    From Mechanisms, pathways and strategies for rejuvenation through epigenetic reprogramming (2023) · cites this paper as [5]

    Section 2.2.1 identifies epigenetic alterations as one of several primary hallmarks that trigger accumulating harmful consequences; Section 2.2.2 describes later damage responses to primary hallmarks. The paper does not single out loss of epigenetic information as a critical cause that precedes many other aspects of deterioration, and instead presents aging as multifactorial. (LLM, conf=0.85)

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Metadata

Authors
Alle, Q., Le Borgne, E., Milhavet, O., & Lemaitre, J.-M.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2021-04-13
Volume
22
Issue
8
Pages
3990
ISSN
1422-0067
Cited by
35
References
38
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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