Lipodystrophy as a target to delay premature aging.


Journal

Trends in endocrinology and metabolism: TEM
ISSN: 1879-3061
Titre abrégé: Trends Endocrinol Metab
Pays: United States
ID NLM: 9001516

Informations de publication

Date de publication:
02 2024
Historique:
received: 06 08 2023
revised: 25 09 2023
accepted: 18 10 2023
medline: 15 2 2024
pubmed: 16 11 2023
entrez: 15 11 2023
Statut: ppublish

Résumé

Lipodystrophy syndromes are rare diseases characterized by low levels and an abnormal distribution of adipose tissue, caused by diverse genetic or acquired causes. These conditions commonly exhibit metabolic complications, including insulin resistance, diabetes, hypertriglyceridemia, nonalcoholic fatty liver disease, and adipose tissue dysfunction. Moreover, genetic lipodystrophic laminopathies exhibit a premature aging phenotype, emphasizing the importance of restoring adipose tissue distribution and function. In this opinion, we discuss the relevance of adipose tissue reestablishment as a potential approach to alleviate premature aging and age-related complications in genetic lipodystrophy syndromes.

Identifiants

pubmed: 37968143
pii: S1043-2760(23)00219-9
doi: 10.1016/j.tem.2023.10.006
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

97-106

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests None declared by authors.

Auteurs

Daniela G Costa (DG)

CNC-UC - Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal; CIBB - Center for Innovation in Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal; Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal.

Marisa Ferreira-Marques (M)

CNC-UC - Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal; CIBB - Center for Innovation in Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal; Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal.

Cláudia Cavadas (C)

CNC-UC - Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal; CIBB - Center for Innovation in Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal; Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal. Electronic address: ccavadas@uc.pt.

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Classifications MeSH