Dysregulated plasma autoantibodies are associated with B cell dysfunction in young Arab children with autism spectrum disorder in Qatar

自身抗体 自闭症谱系障碍 自闭症 免疫学 免疫系统 免疫失调 B细胞 神经发育障碍 抗体 医学 精神科
作者
Samia M. Ltaief,Wared Nour‐Eldine,Nimshitha Pavathuparambil Abdul Manaph,Ti‐Myen Tan,Nur Diana Anuar,Ilham Bensmail,Jilbin George,Houari Abdesselem,Abeer R. Al‐Shammari
出处
期刊:Autism Research [Wiley]
标识
DOI:10.1002/aur.3235
摘要

Abstract Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impaired social interaction and communication, as well as the occurrence of stereotyped and repetitive behaviors. Previous studies have provided solid evidence of dysregulated immune system in ASD; however, limited studies have investigated autoantibody profiles in individuals with ASD. This study aims to screen plasma autoantibodies in a well‐defined cohort of young children with ASD ( n = 100) and their matched controls ( n = 60) utilizing a high‐throughput KoRectly Expressed (KREX) i‐Ome protein‐array technology. We identified differential protein expression of 16 autoantibodies in ASD, which were correlated with differential gene expression of these markers in independent ASD cohorts. Meanwhile, we identified a distinct list of 33 autoantibodies associated with ASD severity; several of which were correlated with maternal age and birth weight in ASD. In addition, we found dysregulated numbers of circulating B cells and activated HLADR+ B cells in ASD, which were correlated with altered levels of several autoantibodies. Further in‐depth analysis of B cell subpopulations revealed an increased frequency of activated naïve B cells in ASD, as well as an association of resting naïve B cells and transitional B cells with ASD severity. Pathway enrichment analysis revealed disrupted MAPK signaling in ASD, suggesting a potential relevance of this pathway to altered autoantibodies and B cell dysfunction in ASD. Finally, we found that a combination of eight autoantibodies associated with ASD severity showed an area under the curve (ROC‐AUC) of 0.937 (95% CI = 0.890, 0.983; p < 0.001), which demonstrated the diagnostic accuracy of the eight‐marker signature in the severity classification of ASD cases. Overall, this study determined dysregulated autoantibody profiles and B cell dysfunction in children with ASD and identified an eight‐autoantibody panel for ASD severity classification.
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