Literature DB >> 25695134

Autism and the synapse: emerging mechanisms and mechanism-based therapies.

Darius Ebrahimi-Fakhari1, Mustafa Sahin.   

Abstract

PURPOSE OF REVIEW: Recent studies have implicated hundreds of genetic variants in the cause of autism spectrum disorder (ASD). Genes involved in 'monogenic' forms of syndromic ASD converge on common pathways that are involved in synaptic development, plasticity and signaling. In this review, we discuss how these 'developmental synaptopathies' inform our understanding of the molecular disease in ASD and highlight promising approaches that have bridged the gap between the bench and the clinic. RECENT
FINDINGS: Accumulating evidence suggests that synaptic deficits in syndromic and nonsyndromic ASD can be mapped to gene mutations in pathways that control synaptic protein synthesis and degradation, postsynaptic scaffold architecture and neurotransmitter receptors. This is recapitulated in models of Fragile X syndrome (FXS), Tuberous Sclerosis Complex (TSC), Angelman syndrome and Phelan-McDermid syndrome (PMS), all of which cause syndromic ASD. Important recent advances include the development of mouse models and patient-derived induced pluripotent stem cell (iPSC) lines that enable a detailed investigation of synaptic deficits and the identification of potential targets for therapy. Examples of the latter include mGluR5 antagonists in FXS, mTOR inhibitors in TSC and insulin-like growth factor 1 (IGF-1) in PMS.
SUMMARY: Identifying converging pathways in syndromic forms of ASD will uncover novel therapeutic targets for non-syndromic ASD. Insights into developmental synaptopathies will lead to rational development of mechanism-based therapies and clinical trials that may provide a blueprint for other common pathways implicated in the molecular neuropathology of ASD.

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Mesh:

Year:  2015        PMID: 25695134     DOI: 10.1097/WCO.0000000000000186

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   5.710


  64 in total

Review 1.  Genes, circuits, and precision therapies for autism and related neurodevelopmental disorders.

Authors:  Mustafa Sahin; Mriganka Sur
Journal:  Science       Date:  2015-10-15       Impact factor: 47.728

2.  Autism and Epilepsy: Exploring the Relationship Using Experimental Models.

Authors:  Carl E Stafstrom; Tim A Benke
Journal:  Epilepsy Curr       Date:  2015 Jul-Aug       Impact factor: 7.500

Review 3.  Brain Connectivity and Neuroimaging of Social Networks in Autism.

Authors:  Ralph-Axel Müller; Inna Fishman
Journal:  Trends Cogn Sci       Date:  2018-10-31       Impact factor: 20.229

Review 4.  Brain connectivity in autism spectrum disorder.

Authors:  Iman Mohammad-Rezazadeh; Joel Frohlich; Sandra K Loo; Shafali S Jeste
Journal:  Curr Opin Neurol       Date:  2016-04       Impact factor: 5.710

5.  Bidirectional manipulation of mTOR signaling disrupts socially mediated vocal learning in juvenile songbirds.

Authors:  Somayeh Ahmadiantehrani; Sarah E London
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-24       Impact factor: 11.205

Review 6.  Sleep as a translationally-relevant endpoint in studies of autism spectrum disorder (ASD).

Authors:  Galen Missig; Christopher J McDougle; William A Carlezon
Journal:  Neuropsychopharmacology       Date:  2019-05-06       Impact factor: 7.853

7.  Overview: neuroplasticity and synaptic function in neuropsychiatric disorders.

Authors:  Frank Sengpiel
Journal:  J Physiol       Date:  2018-07       Impact factor: 5.182

8.  An analytical method for the identification of cell type-specific disease gene modules.

Authors:  Jinting Guan; Yiping Lin; Yang Wang; Junchao Gao; Guoli Ji
Journal:  J Transl Med       Date:  2021-01-06       Impact factor: 5.531

Review 9.  The roots of empathy: Through the lens of rodent models.

Authors:  K Z Meyza; I Ben-Ami Bartal; M H Monfils; J B Panksepp; E Knapska
Journal:  Neurosci Biobehav Rev       Date:  2016-11-04       Impact factor: 8.989

10.  Network organization is globally atypical in autism: A graph theory study of intrinsic functional connectivity.

Authors:  Christopher L Keown; Michael C Datko; Colleen P Chen; José Omar Maximo; Afrooz Jahedi; Ralph-Axel Müller
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2017-01
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