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Blood biomarker discovery for autism spectrum disorder: A proteomic analysis.
Hewitson, Laura; Mathews, Jeremy A; Devlin, Morgan; Schutte, Claire; Lee, Jeon; German, Dwight C.
Afiliación
  • Hewitson L; The Johnson Center for Child Health and Development, Austin, TX, United States of America.
  • Mathews JA; Departments of Mathematical Sciences and Biological Sciences, Bioinformatics & Computational Biology Program, University of Texas at Dallas, Dallas, TX, United States of America.
  • Devlin M; The Johnson Center for Child Health and Development, Austin, TX, United States of America.
  • Schutte C; The Johnson Center for Child Health and Development, Austin, TX, United States of America.
  • Lee J; Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, United States of America.
  • German DC; Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, United States of America.
PLoS One ; 16(2): e0246581, 2021.
Article en En | MEDLINE | ID: mdl-33626076
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 SOMAScanTM 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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteómica / Trastorno del Espectro Autista Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteómica / Trastorno del Espectro Autista Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
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