The Neuroepigenetic Landscape of Vertebrate and Invertebrate Models of Neurodegenerative Diseases.

Alzheimer’s disease DNA methylation Neurodegenerative diseases Parkinson’s disease amyotrophic lateral sclerosis histone modifications miRNA model organisms neurodegeneration neuroepigenetics

Journal

Epigenetics insights
ISSN: 2516-8657
Titre abrégé: Epigenet Insights
Pays: United States
ID NLM: 101735398

Informations de publication

Date de publication:
2022
Historique:
received: 09 06 2022
accepted: 11 10 2022
entrez: 10 11 2022
pubmed: 11 11 2022
medline: 11 11 2022
Statut: epublish

Résumé

Vertebrate and invertebrate models of neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis, have been paramount to our understanding of the pathophysiology of these conditions; however, the brain epigenetic landscape is less well established in these disease models. DNA methylation, histone modifications, and microRNAs are among commonly studied mechanisms of epigenetic regulation. Genome-wide studies and candidate studies of specific methylation marks, histone marks, and microRNAs have demonstrated the dysregulation of these mechanisms in models of neurodegenerative diseases; however, the studies to date are scarce and inconclusive and the implications of many of these changes are still not fully understood. In this review, we summarize epigenetic changes reported to date in the brain of vertebrate and invertebrate models used to study neurodegenerative diseases, specifically diseases affecting the aging population. We also discuss caveats of epigenetic research so far and the use of disease models to understand neurodegenerative diseases, with the aim of improving the use of model organisms in this context in future studies.

Identifiants

pubmed: 36353727
doi: 10.1177/25168657221135848
pii: 10.1177_25168657221135848
pmc: PMC9638687
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

25168657221135848

Subventions

Organisme : Medical Research Council
ID : MC_PC_14127
Pays : United Kingdom

Informations de copyright

© The Author(s) 2022.

Déclaration de conflit d'intérêts

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Auteurs

Thanga Harini Sundaramoorthy (TH)

University of Exeter Medical School, University of Exeter, Exeter, UK.

Isabel Castanho (I)

University of Exeter Medical School, University of Exeter, Exeter, UK.
Beth Israel Deaconess Medical Center, Boston, MA, USA.
Harvard Medical School, Boston, MA, USA.

Classifications MeSH