Autism spectrum disorder: An integrative review of etiology, risk stratification and future directions

Background: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by persistent challenges in social communication and the presence of restricted, repetitive patterns of behavior, interests, or activities. The etiology of ASD is multifactorial, involving a combination of genetic, epigenetic, and environmental influences that affect early brain development. Increasing prevalence rates worldwide have highlighted the importance of understanding underlying mechanisms, identifying risk factors, and improving early diagnosis and intervention strategies.
Objective: To evaluate current research on the etiology of autism spectrum disorder, identify key risk factors for effective risk stratification, and explore emerging directions for diagnosis, management, and future research.
Discussion: The development of ASD is strongly associated with genetic susceptibility, including rare mutations and common genetic variants that influence neurodevelopmental pathways. Environmental factors such as prenatal exposures, maternal health conditions, and perinatal complications also contribute to ASD risk. Advances in neuroimaging and molecular biology have improved understanding of atypical brain connectivity and synaptic function in individuals with ASD. Risk stratification approaches, including genetic screening and early behavioral markers, play a crucial role in early detection and personalized intervention. Additionally, interdisciplinary approaches integrating behavioral therapy, educational support, and emerging biomedical interventions are shaping future management strategies. Ongoing research is also focusing on biomarkers and precision medicine to enhance individualized care.
Conclusion: Autism Spectrum Disorder arises from a complex interplay of genetic and environmental factors. Improved risk stratification and early identification are essential for optimizing outcomes. Future research should prioritize integrative approaches that combine biological, clinical, and technological advancements to enhance diagnosis, treatment, and long-term support for individuals with ASD.