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High-throughput autoantibody screening identifies differentially abundant autoantibodies in autism spectrum disorder.
Mesleh, Areej; Ehtewish, Hanan; Lennard, Katie; Abdesselem, Houari B; Al-Shaban, Fouad; Decock, Julie; Alajez, Nehad M; Arredouani, Abdelilah; Emara, Mohamed M; Albagha, Omar; Stanton, Lawrence W; Abdulla, Sara A; Blackburnand, Jonathan M; El-Agnaf, Omar M A.
Afiliação
  • Mesleh A; College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Ehtewish H; Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Lennard K; College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Abdesselem HB; Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Al-Shaban F; Sengenics Corporation, Level M, Plaza Zurich, Damansara Heights, Kuala Lumpur, Malaysia.
  • Decock J; College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Alajez NM; Proteomics Core Facility, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Arredouani A; College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Emara MM; Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Albagha O; College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Stanton LW; Translational Cancer and Immunity Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Abdulla SA; College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Blackburnand JM; Translational Cancer and Immunity Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • El-Agnaf OMA; College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Front Mol Neurosci ; 16: 1222506, 2023.
Article em En | MEDLINE | ID: mdl-37908488
Introduction: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by defects in two core domains, social/communication skills and restricted/repetitive behaviors or interests. There is no approved biomarker for ASD diagnosis, and the current diagnostic method is based on clinical manifestation, which tends to vary vastly between the affected individuals due to the heterogeneous nature of ASD. There is emerging evidence that supports the implication of the immune system in ASD, specifically autoimmunity; however, the role of autoantibodies in ASD children is not yet fully understood. Materials and methods: In this study, we screened serum samples from 93 cases with ASD and 28 healthy controls utilizing high-throughput KoRectly Expressed (KREX) i-Ome protein-array technology. Our goal was to identify autoantibodies with differential expressions in ASD and to gain insights into the biological significance of these autoantibodies in the context of ASD pathogenesis. Result: Our autoantibody expression analysis identified 29 differential autoantibodies in ASD, 4 of which were upregulated and 25 downregulated. Subsequently, gene ontology (GO) and network analysis showed that the proteins of these autoantibodies are expressed in the brain and involved in axonal guidance, chromatin binding, and multiple metabolic pathways. Correlation analysis revealed that these autoantibodies negatively correlate with the age of ASD subjects. Conclusion: This study explored autoantibody reactivity against self-antigens in ASD individuals' serum using a high-throughput assay. The identified autoantibodies were reactive against proteins involved in axonal guidance, synaptic function, amino acid metabolism, fatty acid metabolism, and chromatin binding.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Front Mol Neurosci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Qatar

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Front Mol Neurosci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Qatar