The use of iPSC technology for modeling Autism Spectrum Disorders.


Journal

Neurobiology of disease
ISSN: 1095-953X
Titre abrégé: Neurobiol Dis
Pays: United States
ID NLM: 9500169

Informations de publication

Date de publication:
10 2019
Historique:
received: 30 10 2018
revised: 31 03 2019
accepted: 22 05 2019
pubmed: 28 5 2019
medline: 25 3 2020
entrez: 27 5 2019
Statut: ppublish

Résumé

Autism Spectrum Disorders (ASDs) are a group of neurodevelopmental disorders that influence social skills, involving communication, interaction, and behavior, usually with repetitive and restrictive manners. Due to the variety of genes involved in ASDs and several possible environmental factors influence, there is still no answer to what really causes syndromic and non-syndromic types of ASDs, usually affecting each individual in a unique way. However, we know that the mechanism underlying ASDs involves brain functioning. The human brain is a complex structure composed of close to 100 billion cells, which is a big challenge to study counting just with post mortem tissue investigation or genetic approaches. Therefore, human induced pluripotent stem cells (iPSC) technology has been used as a tool to produce viable cells for understanding a working brain. Taking advantage of patient-derived stem cells, researchers are now able to generate neurons, glial cells and brain organoids in vitro to model ASDs. In this review we report data from different studies showing how iPSCs have been a critical tool to study the different phenotypes of ASDs.

Identifiants

pubmed: 31129084
pii: S0969-9961(19)30134-2
doi: 10.1016/j.nbd.2019.104483
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

104483

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Fabiele Baldino Russo (FB)

Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, SP, Brazil.

Anita Brito (A)

Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, SP, Brazil.

Ariane Miranda de Freitas (AM)

Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, SP, Brazil.

Andrelissa Castanha (A)

Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, SP, Brazil.

Beatriz C de Freitas (BC)

Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, SP, Brazil.

Patricia Cristina Baleeiro Beltrão-Braga (PCB)

Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, SP, Brazil; Department of Obstetrics, School of Arts Sciences and Humanities, São Paulo, SP 03828-000, Brazil. Electronic address: patriciacbbbraga@usp.br.

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Classifications MeSH