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Phenotypic subgrouping and multi-omics analyses reveal reduced diazepam-binding inhibitor (DBI) protein levels in autism spectrum disorder with severe language impairment

BACKGROUND: The mechanisms underlying autism spectrum disorder (ASD) remain unclear, and clinical biomarkers are not yet available for ASD. Differences in dysregulated proteins in ASD have shown little reproducibility, which is partly due to ASD heterogeneity. Recent studies have demonstrated that s...

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Autores principales: Pichitpunpong, Chatravee, Thongkorn, Surangrat, Kanlayaprasit, Songphon, Yuwattana, Wasana, Plaingam, Waluga, Sangsuthum, Siriporn, Aizat, Wan Mohd, Baharum, Syarul Nataqain, Tencomnao, Tewin, Hu, Valerie Wailin, Sarachana, Tewarit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6438570/
https://www.ncbi.nlm.nih.gov/pubmed/30921354
http://dx.doi.org/10.1371/journal.pone.0214198
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author Pichitpunpong, Chatravee
Thongkorn, Surangrat
Kanlayaprasit, Songphon
Yuwattana, Wasana
Plaingam, Waluga
Sangsuthum, Siriporn
Aizat, Wan Mohd
Baharum, Syarul Nataqain
Tencomnao, Tewin
Hu, Valerie Wailin
Sarachana, Tewarit
author_facet Pichitpunpong, Chatravee
Thongkorn, Surangrat
Kanlayaprasit, Songphon
Yuwattana, Wasana
Plaingam, Waluga
Sangsuthum, Siriporn
Aizat, Wan Mohd
Baharum, Syarul Nataqain
Tencomnao, Tewin
Hu, Valerie Wailin
Sarachana, Tewarit
author_sort Pichitpunpong, Chatravee
collection PubMed
description BACKGROUND: The mechanisms underlying autism spectrum disorder (ASD) remain unclear, and clinical biomarkers are not yet available for ASD. Differences in dysregulated proteins in ASD have shown little reproducibility, which is partly due to ASD heterogeneity. Recent studies have demonstrated that subgrouping ASD cases based on clinical phenotypes is useful for identifying candidate genes that are dysregulated in ASD subgroups. However, this strategy has not been employed in proteome profiling analyses to identify ASD biomarker proteins for specific subgroups. METHODS: We therefore conducted a cluster analysis of the Autism Diagnostic Interview-Revised (ADI-R) scores from 85 individuals with ASD to predict subgroups and subsequently identified dysregulated genes by reanalyzing the transcriptome profiles of individuals with ASD and unaffected individuals. Proteome profiling of lymphoblastoid cell lines from these individuals was performed via 2D-gel electrophoresis, and then mass spectrometry. Disrupted proteins were identified and compared to the dysregulated transcripts and reported dysregulated proteins from previous proteome studies. Biological functions were predicted using the Ingenuity Pathway Analysis (IPA) program. Selected proteins were also analyzed by Western blotting. RESULTS: The cluster analysis of ADI-R data revealed four ASD subgroups, including ASD with severe language impairment, and transcriptome profiling identified dysregulated genes in each subgroup. Screening via proteome analysis revealed 82 altered proteins in the ASD subgroup with severe language impairment. Eighteen of these proteins were further identified by nano-LC-MS/MS. Among these proteins, fourteen were predicted by IPA to be associated with neurological functions and inflammation. Among these proteins, diazepam-binding inhibitor (DBI) protein was confirmed by Western blot analysis to be expressed at significantly decreased levels in the ASD subgroup with severe language impairment, and the DBI expression levels were correlated with the scores of several ADI-R items. CONCLUSIONS: By subgrouping individuals with ASD based on clinical phenotypes, and then performing an integrated transcriptome-proteome analysis, we identified DBI as a novel candidate protein for ASD with severe language impairment. The mechanisms of this protein and its potential use as an ASD biomarker warrant further study.
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spelling pubmed-64385702019-04-12 Phenotypic subgrouping and multi-omics analyses reveal reduced diazepam-binding inhibitor (DBI) protein levels in autism spectrum disorder with severe language impairment Pichitpunpong, Chatravee Thongkorn, Surangrat Kanlayaprasit, Songphon Yuwattana, Wasana Plaingam, Waluga Sangsuthum, Siriporn Aizat, Wan Mohd Baharum, Syarul Nataqain Tencomnao, Tewin Hu, Valerie Wailin Sarachana, Tewarit PLoS One Research Article BACKGROUND: The mechanisms underlying autism spectrum disorder (ASD) remain unclear, and clinical biomarkers are not yet available for ASD. Differences in dysregulated proteins in ASD have shown little reproducibility, which is partly due to ASD heterogeneity. Recent studies have demonstrated that subgrouping ASD cases based on clinical phenotypes is useful for identifying candidate genes that are dysregulated in ASD subgroups. However, this strategy has not been employed in proteome profiling analyses to identify ASD biomarker proteins for specific subgroups. METHODS: We therefore conducted a cluster analysis of the Autism Diagnostic Interview-Revised (ADI-R) scores from 85 individuals with ASD to predict subgroups and subsequently identified dysregulated genes by reanalyzing the transcriptome profiles of individuals with ASD and unaffected individuals. Proteome profiling of lymphoblastoid cell lines from these individuals was performed via 2D-gel electrophoresis, and then mass spectrometry. Disrupted proteins were identified and compared to the dysregulated transcripts and reported dysregulated proteins from previous proteome studies. Biological functions were predicted using the Ingenuity Pathway Analysis (IPA) program. Selected proteins were also analyzed by Western blotting. RESULTS: The cluster analysis of ADI-R data revealed four ASD subgroups, including ASD with severe language impairment, and transcriptome profiling identified dysregulated genes in each subgroup. Screening via proteome analysis revealed 82 altered proteins in the ASD subgroup with severe language impairment. Eighteen of these proteins were further identified by nano-LC-MS/MS. Among these proteins, fourteen were predicted by IPA to be associated with neurological functions and inflammation. Among these proteins, diazepam-binding inhibitor (DBI) protein was confirmed by Western blot analysis to be expressed at significantly decreased levels in the ASD subgroup with severe language impairment, and the DBI expression levels were correlated with the scores of several ADI-R items. CONCLUSIONS: By subgrouping individuals with ASD based on clinical phenotypes, and then performing an integrated transcriptome-proteome analysis, we identified DBI as a novel candidate protein for ASD with severe language impairment. The mechanisms of this protein and its potential use as an ASD biomarker warrant further study. Public Library of Science 2019-03-28 /pmc/articles/PMC6438570/ /pubmed/30921354 http://dx.doi.org/10.1371/journal.pone.0214198 Text en © 2019 Pichitpunpong 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
Pichitpunpong, Chatravee
Thongkorn, Surangrat
Kanlayaprasit, Songphon
Yuwattana, Wasana
Plaingam, Waluga
Sangsuthum, Siriporn
Aizat, Wan Mohd
Baharum, Syarul Nataqain
Tencomnao, Tewin
Hu, Valerie Wailin
Sarachana, Tewarit
Phenotypic subgrouping and multi-omics analyses reveal reduced diazepam-binding inhibitor (DBI) protein levels in autism spectrum disorder with severe language impairment
title Phenotypic subgrouping and multi-omics analyses reveal reduced diazepam-binding inhibitor (DBI) protein levels in autism spectrum disorder with severe language impairment
title_full Phenotypic subgrouping and multi-omics analyses reveal reduced diazepam-binding inhibitor (DBI) protein levels in autism spectrum disorder with severe language impairment
title_fullStr Phenotypic subgrouping and multi-omics analyses reveal reduced diazepam-binding inhibitor (DBI) protein levels in autism spectrum disorder with severe language impairment
title_full_unstemmed Phenotypic subgrouping and multi-omics analyses reveal reduced diazepam-binding inhibitor (DBI) protein levels in autism spectrum disorder with severe language impairment
title_short Phenotypic subgrouping and multi-omics analyses reveal reduced diazepam-binding inhibitor (DBI) protein levels in autism spectrum disorder with severe language impairment
title_sort phenotypic subgrouping and multi-omics analyses reveal reduced diazepam-binding inhibitor (dbi) protein levels in autism spectrum disorder with severe language impairment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6438570/
https://www.ncbi.nlm.nih.gov/pubmed/30921354
http://dx.doi.org/10.1371/journal.pone.0214198
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