Clinical profiles in autism spectrum disorder: Enhancing diagnosis, treatment, and overall health outcomes

Abstract Background Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by significant challenges in communication, behavior, and social interaction. The prevalence of ASD is rising, with current estimates indicating that it affects 1 in 36 children in the United States. Traditional diagnostic methods often fail to capture the full complexity of ASD, leading to incomplete treatment approaches. This study aimed to enhance diagnostic and therapeutic approaches to ASD by identifying and categorizing 10 clinical profiles using precision medicine. Methods This study presents a new stratification model for ASD that classifies individuals based on prevalent comorbidities and underlying biological mechanisms. The model is based on a synthesis of existing literature, clinical observations, and expert insights. Data were collected from detailed clinical evaluations, patient histories, and laboratory tests, and the model was refined through iterative analysis. It integrates findings from genetic, neurological, and psychiatric research to develop a comprehensive approach for diagnosing and treating ASD‐related comorbidities. Results The study proposes 10 clinical profiles of ASD: syndromic, gastrointestinal, metabolic, mitochondrial, endocrine, bioaccumulative, infectious, immunological, inflammatory, and Neurological. Each profile is associated with specific symptoms and comorbidities influenced by genetic, environmental, and biological factors. Conclusions The stratification model proposed in this study enhances the diagnosis and treatment of ASD by recognizing its heterogeneity. By identifying specific clinical profiles, healthcare providers can develop personalized and integrated therapeutic strategies to improve the overall health outcomes of individuals with ASD.