Literature DB >> 34921676

Human-Induced Pluripotent Stem Cell-Based Models for Studying Sex-Specific Differences in Neurodegenerative Diseases.

Erkan Kiris1.   

Abstract

The prevalence of neurodegenerative diseases is steadily increasing worldwide, and epidemiological studies strongly suggest that many of the diseases are sex-biased. It has long been suggested that biological sex differences are crucial for neurodegenerative diseases; however, how biological sex affects disease initiation, progression, and severity is not well-understood. Sex is a critical biological variable that should be taken into account in basic research, and this review aims to highlight the utility of human-induced pluripotent stem cells (iPSC)-derived models for studying sex-specific differences in neurodegenerative diseases, with advantages and limitations. In vitro systems utilizing species-specific, renewable, and physiologically relevant cell sources can provide powerful platforms for mechanistic studies, toxicity testings, and drug discovery. Matched healthy, patient-derived, and gene-corrected human iPSCs, from both sexes, can be utilized to generate neuronal and glial cell types affected by specific neurodegenerative diseases to study sex-specific differences in two-dimensional (2D) and three-dimensional (3D) human culture systems. Such relatively simple and well-controlled systems can significantly contribute to the elucidation of molecular mechanisms underlying sex-specific differences, which can yield effective, and potentially sex-based strategies, against neurodegenerative diseases.
© 2021. Springer Nature Switzerland AG.

Entities:  

Keywords:  Central nervous system diseases; Induced pluripotent stem cells (iPSC); Neurodegeneration; Neurodegenerative diseases; Sex-specific differences; iPSC-based neuronal and glial models

Mesh:

Year:  2022        PMID: 34921676     DOI: 10.1007/5584_2021_683

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   3.650


  267 in total

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Authors:  B A Ashford; D Boche; J Cooper-Knock; P R Heath; J E Simpson; J R Highley
Journal:  Neuropathol Appl Neurobiol       Date:  2020-07-21       Impact factor: 8.090

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Journal:  Neuron       Date:  2017-04-19       Impact factor: 17.173

3.  Decreased IL-1β-induced CCL20 response in human iPSC-astrocytes in schizophrenia: Potential attenuating effects on recruitment of regulatory T cells.

Authors:  Ibrahim A Akkouh; Thor Ueland; Lars Hansson; Elin Inderhaug; Timothy Hughes; Nils Eiel Steen; Pål Aukrust; Ole A Andreassen; Attila Szabo; Srdjan Djurovic
Journal:  Brain Behav Immun       Date:  2020-02-25       Impact factor: 7.217

Review 4.  Molecular mechanisms and cellular events involved in the neuroprotective actions of estradiol. Analysis of sex differences.

Authors:  Iñigo Azcoitia; George E Barreto; Luis M Garcia-Segura
Journal:  Front Neuroendocrinol       Date:  2019-09-09       Impact factor: 8.606

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Authors:  A Alonso; G Logroscino; S S Jick; M A Hernán
Journal:  Eur J Neurol       Date:  2009-06       Impact factor: 6.089

6.  Age-dependent sex ratios of motor neuron disease: French nationwide study and meta-analysis.

Authors:  Pasarlai Ahmadzai; Sofiane Kab; Tim Vlaar; Fanny Artaud; Laure Carcaillon-Bentata; Marianne Canonico; Frédéric Moisan; Alexis Elbaz
Journal:  Neurology       Date:  2018-03-30       Impact factor: 9.910

7.  Sex modifies the APOE-related risk of developing Alzheimer disease.

Authors:  Andre Altmann; Lu Tian; Victor W Henderson; Michael D Greicius
Journal:  Ann Neurol       Date:  2014-04-14       Impact factor: 10.422

8.  Sex differences and effects of estrogenic compounds on the expression of inflammatory molecules by astrocytes exposed to the insecticide dimethoate.

Authors:  Mariana Astiz; Estefania Acaz-Fonseca; Luis M Garcia-Segura
Journal:  Neurotox Res       Date:  2013-08-14       Impact factor: 3.911

9.  Analysis of the MIRIAD Data Shows Sex Differences in Hippocampal Atrophy Progression.

Authors:  Babak A Ardekani; Antonio Convit; Alvin H Bachman
Journal:  J Alzheimers Dis       Date:  2016       Impact factor: 4.472

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