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高通量自身抗体筛查可识别自闭症谱系障碍中丰度有差异的自身抗体。

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

作者信息

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

机构信息

College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.

Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.

出版信息

Front Mol Neurosci. 2023 Oct 16;16:1222506. doi: 10.3389/fnmol.2023.1222506. eCollection 2023.

Abstract

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.

摘要

引言

自闭症谱系障碍(ASD)是一种神经发育疾病,其特征在于两个核心领域存在缺陷,即社交/沟通技能以及受限/重复行为或兴趣。目前尚无经批准的用于ASD诊断的生物标志物,当前的诊断方法基于临床表现,由于ASD的异质性,受影响个体之间的临床表现往往差异很大。有新出现的证据支持免疫系统在ASD中的作用,特别是自身免疫;然而,自身抗体在ASD儿童中的作用尚未完全了解。

材料和方法

在本研究中,我们使用高通量KoRectly Expressed(KREX)i-Ome蛋白质阵列技术筛选了93例ASD患者和28名健康对照的血清样本。我们的目标是识别在ASD中差异表达的自身抗体,并深入了解这些自身抗体在ASD发病机制中的生物学意义。

结果

我们的自身抗体表达分析在ASD中鉴定出29种差异自身抗体,其中4种上调,25种下调。随后,基因本体(GO)和网络分析表明,这些自身抗体的蛋白质在大脑中表达,并参与轴突导向、染色质结合和多种代谢途径。相关性分析显示,这些自身抗体与ASD受试者的年龄呈负相关。

结论

本研究使用高通量检测方法探索了ASD个体血清中针对自身抗原的自身抗体反应性。鉴定出的自身抗体与参与轴突导向、突触功能、氨基酸代谢、脂肪酸代谢和染色质结合的蛋白质发生反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b9c/10613655/092826c7135a/fnmol-16-1222506-g0001.jpg

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