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Shared and divergent contribution of vitamin A and oxytocin to the aetiology of autism spectrum disorder.
Wang, Tao; Liu, Liqiu; Fan, Tianda; Xia, Kun; Sun, Zhongsheng.
Afiliação
  • Wang T; Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Kaifu District, Changsha, Hunan 410078, China.
  • Liu L; Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China.
  • Fan T; Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China.
  • Xia K; Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Kaifu District, Changsha, Hunan 410078, China.
  • Sun Z; Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou, Zhejiang 325025, China.
Comput Struct Biotechnol J ; 21: 3109-3123, 2023.
Article em En | MEDLINE | ID: mdl-38213898
ABSTRACT
Rare genetic variations contribute to the heterogeneity of autism spectrum disorder (ASD) and the responses to various interventions for ASD probands. However, the associated molecular underpinnings remain unclear. Herein, we estimated the association between rare genetic variations in 410 vitamin A (VA)-related genes (VARGs) and ASD aetiology using publicly available de novo mutations (DNMs), rare inherited variants, and copy number variations (CNVs) from about 50,000 ASD probands and 20,000 normal controls (discovery and validation cohorts). Additionally, given the functional relevance of VA and oxytocin, we systematically compared the similarities and differences between VA and oxytocin with respect to ASD aetiology and evaluated their potential for clinical applications. Functional DNMs and pathogenic CNVs in VARGs contributed to ASD pathogenesis in the discovery and validation cohorts. Additionally, 324 potential VA-related biomarkers were identified, 243 of which were shared with previously identified oxytocin-related biomarkers, while 81 were unique VA biomarkers. Moreover, multivariable logistic regression analysis revealed that both VA- and oxytocin-related biomarkers were able to predict ASD aetiology for individuals carrying functional DNM in corresponding biomarkers with an average precision of 0.94. As well as, convergent and divergent functions were also identified between VA- and oxytocin-related biomarkers. The findings of this study provide a basis for future studies aimed at understanding the pathophysiological mechanisms underlying ASD while also defining a set of potential molecular biomarkers for adjuvant diagnosis and intervention in ASD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2023 Tipo de documento: Article