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Blood biomarker discovery for autism spectrum disorder: A proteomic analysis

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and social interaction and restricted, repetitive patterns of behavior, interests, or activities. Given the lack of specific pharmacological therapy for ASD and the clinical heterogeneit...

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Autores principales: Hewitson, Laura, Mathews, Jeremy A., Devlin, Morgan, Schutte, Claire, Lee, Jeon, German, Dwight C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904196/
https://www.ncbi.nlm.nih.gov/pubmed/33626076
http://dx.doi.org/10.1371/journal.pone.0246581
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author Hewitson, Laura
Mathews, Jeremy A.
Devlin, Morgan
Schutte, Claire
Lee, Jeon
German, Dwight C.
author_facet Hewitson, Laura
Mathews, Jeremy A.
Devlin, Morgan
Schutte, Claire
Lee, Jeon
German, Dwight C.
author_sort Hewitson, Laura
collection PubMed
description Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and social interaction and restricted, repetitive patterns of behavior, interests, or activities. Given the lack of specific pharmacological therapy for ASD and the clinical heterogeneity of the disorder, current biomarker research efforts are geared mainly toward identifying markers for determining ASD risk or for assisting with a diagnosis. A wide range of putative biological markers for ASD is currently being investigated. Proteomic analyses indicate that the levels of many proteins in plasma/serum are altered in ASD, suggesting that a panel of proteins may provide a blood biomarker for ASD. Serum samples from 76 boys with ASD and 78 typically developing (TD) boys, 18 months-8 years of age, were analyzed to identify possible early biological markers for ASD. Proteomic analysis of serum was performed using SomaLogic’s SOMAScan(TM) assay 1.3K platform. A total of 1,125 proteins were analyzed. There were 86 downregulated proteins and 52 upregulated proteins in ASD (FDR < 0.05). Combining three different algorithms, we found a panel of 9 proteins that identified ASD with an area under the curve (AUC) = 0.8599±0.0640, with specificity and sensitivity of 0.8217±0.1178 and 0.835±0.1176, respectively. All 9 proteins were significantly different in ASD compared with TD boys, and were significantly correlated with ASD severity as measured by ADOS total scores. Using machine learning methods, a panel of serum proteins was identified that may be useful as a blood biomarker for ASD in boys. Further verification of the protein biomarker panel with independent test sets is warranted.
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spelling pubmed-79041962021-03-02 Blood biomarker discovery for autism spectrum disorder: A proteomic analysis Hewitson, Laura Mathews, Jeremy A. Devlin, Morgan Schutte, Claire Lee, Jeon German, Dwight C. PLoS One Research Article Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and social interaction and restricted, repetitive patterns of behavior, interests, or activities. Given the lack of specific pharmacological therapy for ASD and the clinical heterogeneity of the disorder, current biomarker research efforts are geared mainly toward identifying markers for determining ASD risk or for assisting with a diagnosis. A wide range of putative biological markers for ASD is currently being investigated. Proteomic analyses indicate that the levels of many proteins in plasma/serum are altered in ASD, suggesting that a panel of proteins may provide a blood biomarker for ASD. Serum samples from 76 boys with ASD and 78 typically developing (TD) boys, 18 months-8 years of age, were analyzed to identify possible early biological markers for ASD. Proteomic analysis of serum was performed using SomaLogic’s SOMAScan(TM) assay 1.3K platform. A total of 1,125 proteins were analyzed. There were 86 downregulated proteins and 52 upregulated proteins in ASD (FDR < 0.05). Combining three different algorithms, we found a panel of 9 proteins that identified ASD with an area under the curve (AUC) = 0.8599±0.0640, with specificity and sensitivity of 0.8217±0.1178 and 0.835±0.1176, respectively. All 9 proteins were significantly different in ASD compared with TD boys, and were significantly correlated with ASD severity as measured by ADOS total scores. Using machine learning methods, a panel of serum proteins was identified that may be useful as a blood biomarker for ASD in boys. Further verification of the protein biomarker panel with independent test sets is warranted. Public Library of Science 2021-02-24 /pmc/articles/PMC7904196/ /pubmed/33626076 http://dx.doi.org/10.1371/journal.pone.0246581 Text en © 2021 Hewitson et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hewitson, Laura
Mathews, Jeremy A.
Devlin, Morgan
Schutte, Claire
Lee, Jeon
German, Dwight C.
Blood biomarker discovery for autism spectrum disorder: A proteomic analysis
title Blood biomarker discovery for autism spectrum disorder: A proteomic analysis
title_full Blood biomarker discovery for autism spectrum disorder: A proteomic analysis
title_fullStr Blood biomarker discovery for autism spectrum disorder: A proteomic analysis
title_full_unstemmed Blood biomarker discovery for autism spectrum disorder: A proteomic analysis
title_short Blood biomarker discovery for autism spectrum disorder: A proteomic analysis
title_sort blood biomarker discovery for autism spectrum disorder: a proteomic analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904196/
https://www.ncbi.nlm.nih.gov/pubmed/33626076
http://dx.doi.org/10.1371/journal.pone.0246581
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