Frontiers in Molecular Neuroscience (Oct 2023)

High-throughput autoantibody screening identifies differentially abundant autoantibodies in autism spectrum disorder

  • Areej Mesleh,
  • Areej Mesleh,
  • Hanan Ehtewish,
  • Hanan Ehtewish,
  • Katie Lennard,
  • Houari B. Abdesselem,
  • Houari B. Abdesselem,
  • Fouad Al-Shaban,
  • Fouad Al-Shaban,
  • Julie Decock,
  • Julie Decock,
  • Nehad M. Alajez,
  • Nehad M. Alajez,
  • Abdelilah Arredouani,
  • Abdelilah Arredouani,
  • Mohamed M. Emara,
  • Omar Albagha,
  • Lawrence W. Stanton,
  • Lawrence W. Stanton,
  • Sara A. Abdulla,
  • Jonathan M. Blackburnand,
  • Jonathan M. Blackburnand,
  • Jonathan M. Blackburnand,
  • Omar M. A. El-Agnaf,
  • Omar M. A. El-Agnaf

DOI
https://doi.org/10.3389/fnmol.2023.1222506
Journal volume & issue
Vol. 16

Abstract

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IntroductionAutism 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 methodsIn 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.ResultOur 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.ConclusionThis 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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