Cargando…
Characterizing autism spectrum disorders by key biochemical pathways
The genetic and phenotypic heterogeneity of autism spectrum disorders (ASD) presents a substantial challenge for diagnosis, classification, research, and treatment. Investigations into the underlying molecular etiology of ASD have often yielded mixed and at times opposing findings. Defining the mole...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586332/ https://www.ncbi.nlm.nih.gov/pubmed/26483618 http://dx.doi.org/10.3389/fnins.2015.00313 |
_version_ | 1782392344699469824 |
---|---|
author | Subramanian, Megha Timmerman, Christina K. Schwartz, Joshua L. Pham, Daniel L. Meffert, Mollie K. |
author_facet | Subramanian, Megha Timmerman, Christina K. Schwartz, Joshua L. Pham, Daniel L. Meffert, Mollie K. |
author_sort | Subramanian, Megha |
collection | PubMed |
description | The genetic and phenotypic heterogeneity of autism spectrum disorders (ASD) presents a substantial challenge for diagnosis, classification, research, and treatment. Investigations into the underlying molecular etiology of ASD have often yielded mixed and at times opposing findings. Defining the molecular and biochemical underpinnings of heterogeneity in ASD is crucial to our understanding of the pathophysiological development of the disorder, and has the potential to assist in diagnosis and the rational design of clinical trials. In this review, we propose that genetically diverse forms of ASD may be usefully parsed into entities resulting from converse patterns of growth regulation at the molecular level, which lead to the correlates of general synaptic and neural overgrowth or undergrowth. Abnormal brain growth during development is a characteristic feature that has been observed both in children with autism and in mouse models of autism. We review evidence from syndromic and non-syndromic ASD to suggest that entities currently classified as autism may fundamentally differ by underlying pro- or anti-growth abnormalities in key biochemical pathways, giving rise to either excessive or reduced synaptic connectivity in affected brain regions. We posit that this classification strategy has the potential not only to aid research efforts, but also to ultimately facilitate early diagnosis and direct appropriate therapeutic interventions. |
format | Online Article Text |
id | pubmed-4586332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-45863322015-10-19 Characterizing autism spectrum disorders by key biochemical pathways Subramanian, Megha Timmerman, Christina K. Schwartz, Joshua L. Pham, Daniel L. Meffert, Mollie K. Front Neurosci Physiology The genetic and phenotypic heterogeneity of autism spectrum disorders (ASD) presents a substantial challenge for diagnosis, classification, research, and treatment. Investigations into the underlying molecular etiology of ASD have often yielded mixed and at times opposing findings. Defining the molecular and biochemical underpinnings of heterogeneity in ASD is crucial to our understanding of the pathophysiological development of the disorder, and has the potential to assist in diagnosis and the rational design of clinical trials. In this review, we propose that genetically diverse forms of ASD may be usefully parsed into entities resulting from converse patterns of growth regulation at the molecular level, which lead to the correlates of general synaptic and neural overgrowth or undergrowth. Abnormal brain growth during development is a characteristic feature that has been observed both in children with autism and in mouse models of autism. We review evidence from syndromic and non-syndromic ASD to suggest that entities currently classified as autism may fundamentally differ by underlying pro- or anti-growth abnormalities in key biochemical pathways, giving rise to either excessive or reduced synaptic connectivity in affected brain regions. We posit that this classification strategy has the potential not only to aid research efforts, but also to ultimately facilitate early diagnosis and direct appropriate therapeutic interventions. Frontiers Media S.A. 2015-09-24 /pmc/articles/PMC4586332/ /pubmed/26483618 http://dx.doi.org/10.3389/fnins.2015.00313 Text en Copyright © 2015 Subramanian, Timmerman, Schwartz, Pham and Meffert. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Subramanian, Megha Timmerman, Christina K. Schwartz, Joshua L. Pham, Daniel L. Meffert, Mollie K. Characterizing autism spectrum disorders by key biochemical pathways |
title | Characterizing autism spectrum disorders by key biochemical pathways |
title_full | Characterizing autism spectrum disorders by key biochemical pathways |
title_fullStr | Characterizing autism spectrum disorders by key biochemical pathways |
title_full_unstemmed | Characterizing autism spectrum disorders by key biochemical pathways |
title_short | Characterizing autism spectrum disorders by key biochemical pathways |
title_sort | characterizing autism spectrum disorders by key biochemical pathways |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586332/ https://www.ncbi.nlm.nih.gov/pubmed/26483618 http://dx.doi.org/10.3389/fnins.2015.00313 |
work_keys_str_mv | AT subramanianmegha characterizingautismspectrumdisordersbykeybiochemicalpathways AT timmermanchristinak characterizingautismspectrumdisordersbykeybiochemicalpathways AT schwartzjoshual characterizingautismspectrumdisordersbykeybiochemicalpathways AT phamdaniell characterizingautismspectrumdisordersbykeybiochemicalpathways AT meffertmolliek characterizingautismspectrumdisordersbykeybiochemicalpathways |