Region-specific and age-related differences in astrocytes in the human brain.

Aging Astrocyte heterogeneity Human brain Mass spectrometry-based proteomics

Journal

Neurobiology of aging
ISSN: 1558-1497
Titre abrégé: Neurobiol Aging
Pays: United States
ID NLM: 8100437

Informations de publication

Date de publication:
18 May 2024
Historique:
received: 07 08 2023
revised: 22 02 2024
accepted: 23 02 2024
medline: 20 5 2024
pubmed: 20 5 2024
entrez: 19 5 2024
Statut: aheadofprint

Résumé

Astrocyte heterogeneity and its relation to aging in the normal human brain remain poorly understood. We here analyzed astrocytes in gray and white matter brain tissues obtained from donors ranging in age between the neonatal period to over 100 years. We show that astrocytes are differently distributed with higher density in the white matter. This regional difference in cellular density becomes less prominent with age. Additionally, we confirm the presence of morphologically distinct astrocytes, with gray matter astrocytes being morphologically more complex. Notably, gray matter astrocytes morphologically change with age, while white matter astrocytes remain relatively consistent in morphology. Using regional mass spectrometry-based proteomics, we did, however, identify astrocyte specific proteins with regional differences in abundance, reflecting variation in cellular density or expression level. Importantly, the expression of some astrocyte specific proteins region-dependently decreases with age. Taken together, we provide insights into region- and age-related differences in astrocytes in the human brain.

Identifiants

pubmed: 38763075
pii: S0197-4580(24)00091-5
doi: 10.1016/j.neurobiolaging.2024.02.016
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102-115

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no competing interests.

Auteurs

Jodie H K Man (JHK)

Department of Child Neurology, Amsterdam Leukodystrophy Center, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Molecular and Cellular Mechanisms, Amsterdam Neuroscience, Amsterdam, the Netherlands.

Marjolein Breur (M)

Department of Child Neurology, Amsterdam Leukodystrophy Center, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Molecular and Cellular Mechanisms, Amsterdam Neuroscience, Amsterdam, the Netherlands.

Charlotte A G H van Gelder (CAGH)

Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands; Netherlands Proteomics Center, Utrecht, the Netherlands.

Gabriella Marcon (G)

Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy; DAME, University of Udine, Udine, Italy.

Emanuela Maderna (E)

Division of Neurology 5 - Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Giorgio Giaccone (G)

Division of Neurology 5 - Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Maarten Altelaar (M)

Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands; Netherlands Proteomics Center, Utrecht, the Netherlands.

Marjo S van der Knaap (MS)

Department of Child Neurology, Amsterdam Leukodystrophy Center, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Molecular and Cellular Mechanisms, Amsterdam Neuroscience, Amsterdam, the Netherlands; Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Marianna Bugiani (M)

Department of Pathology, Amsterdam UMC, Amsterdam, the Netherlands. Electronic address: m.bugiani@amsterdamumc.nl.

Classifications MeSH