Metabolomic changes in children with autism

Mohammed Al-Beltagi, N. Saeed, A. Bediwy, Reem Elbeltagi
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Abstract

BACKGROUND Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by deficits in social communication and repetitive behaviors. Metabolomic profiling has emerged as a valuable tool for understanding the underlying metabolic dysregulations associated with ASD. AIM To comprehensively explore metabolomic changes in children with ASD, integrating findings from various research articles, reviews, systematic reviews, meta-analyses, case reports, editorials, and a book chapter. METHODS A systematic search was conducted in electronic databases, including PubMed, PubMed Central, Cochrane Library, Embase, Web of Science, CINAHL, Scopus, LISA, and NLM catalog up until January 2024. Inclusion criteria encompassed research articles (83), review articles (145), meta-analyses (6), systematic reviews (6), case reports (2), editorials (2), and a book chapter (1) related to metabolomic changes in children with ASD. Exclusion criteria were applied to ensure the relevance and quality of included studies. RESULTS The systematic review identified specific metabolites and metabolic pathways showing consistent differences in children with ASD compared to typically developing individuals. These metabolic biomarkers may serve as objective measures to support clinical assessments, improve diagnostic accuracy, and inform personalized treatment approaches. Metabolomic profiling also offers insights into the metabolic alterations associated with comorbid conditions commonly observed in individuals with ASD. CONCLUSION Integration of metabolomic changes in children with ASD holds promise for enhancing diagnostic accuracy, guiding personalized treatment approaches, monitoring treatment response, and improving outcomes. Further research is needed to validate findings, establish standardized protocols, and overcome technical challenges in metabolomic analysis. By advancing our understanding of metabolic dysregulations in ASD, clinicians can improve the lives of affected individuals and their families.
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自闭症儿童代谢组的变化
背景自闭症谱系障碍(ASD)是一种神经发育疾病,其特征是社交沟通和重复行为方面的缺陷。代谢组学分析已成为了解与自闭症谱系障碍相关的潜在代谢失调的重要工具。目的 综合各种研究文章、综述、系统综述、荟萃分析、病例报告、社论和一本书的章节,全面探讨 ASD 儿童代谢组的变化。方法 在电子数据库中进行了系统性检索,包括 PubMed、PubMed Central、Cochrane Library、Embase、Web of Science、CINAHL、Scopus、LISA 和 NLM 目录(截至 2024 年 1 月)。纳入标准包括与 ASD 儿童代谢组变化相关的研究文章(83 篇)、综述文章(145 篇)、荟萃分析(6 篇)、系统综述(6 篇)、病例报告(2 篇)、社论(2 篇)和书籍章节(1 篇)。为确保纳入研究的相关性和质量,采用了排除标准。结果 系统综述确定了特定的代谢物和代谢途径,这些代谢物和途径在 ASD 儿童与发育正常的个体之间显示出一致的差异。这些代谢生物标志物可作为支持临床评估的客观指标,提高诊断准确性,并为个性化治疗方法提供依据。代谢组学分析还有助于深入了解与 ASD 患儿常见合并症相关的代谢改变。结论 整合 ASD 儿童的代谢组变化有望提高诊断准确性、指导个性化治疗方法、监测治疗反应并改善预后。还需要进一步的研究来验证研究结果、建立标准化方案并克服代谢组分析中的技术挑战。通过增进我们对 ASD 代谢失调的了解,临床医生可以改善患者及其家人的生活。
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