Theoretical Framework and Methodological Approach for Investigating Potential Associations Between Long COVID and Autism Spectrum Disorder Prevalence.

IF 2 Q3 CLINICAL NEUROLOGY
NeuroSci Pub Date : 2025-08-13 DOI:10.3390/neurosci6030080
Thorsten Rudroff
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Abstract

This perspective paper proposes a theoretical framework for investigating potential associations between Long COVID and rising autism spectrum disorder (ASD) prevalence through established epidemiological methodologies. I propose examining temporal correlations, biological mechanisms, and rigorous methodological approaches, including Mendelian randomization, animal models, and evidence-based analyses, that could distinguish association from causation. The proposed framework recognizes autism as neurodiversity while suggesting investigation of environmental factors that may influence expression of genetic predispositions. Hypothesized key mechanisms include neuroinflammation, cytokine alterations, and immune dysfunction. I emphasize the critical distinction between demonstrating statistical associations and establishing causal influence, proposing specific experimental designs that could test causality. This paper presents conceptual frameworks requiring future empirical validation and does not include original data analysis.

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研究长冠状病毒与自闭症谱系障碍患病率潜在关联的理论框架和方法方法。
这篇前瞻性论文提出了一个理论框架,通过既定的流行病学方法研究长COVID与自闭症谱系障碍(ASD)患病率上升之间的潜在关联。我建议研究时间相关性、生物机制和严格的方法方法,包括孟德尔随机化、动物模型和循证分析,这些方法可以区分关联和因果关系。该框架承认自闭症具有神经多样性,同时建议研究可能影响遗传倾向表达的环境因素。假设的关键机制包括神经炎症、细胞因子改变和免疫功能障碍。我强调了证明统计关联和建立因果影响之间的关键区别,提出了可以检验因果关系的具体实验设计。本文提出的概念框架需要未来的经验验证,不包括原始数据分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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