Jul 2026· International Journal of Developmental Neuroscience· Vol 86· 0 citations· 41 references
Medicine
TL;DR
Collectively, human cortical transcriptomic studies in ASD support a model of partial, context‐dependent convergence on a limited set of biological programmes, rather than a single stable molecular lesion.
Abstract
Autism spectrum disorder (ASD) arises from highly heterogeneous genetic and developmental liabilities, raising the question of whether this heterogeneity converges on shared molecular programmes in the human cerebral cortex. This structured review, based on systematic database searching and narrative synthesis, examined that question specifically in human post‐mortem cortical transcriptomic studies. PubMed, Scopus and Europe PMC were searched from 1 January 2009 to 6 May 2026, and 43 studies met the final eligibility criteria. Across the available literature, the evidence does not support a single invariant cortical transcriptomic signature in ASD. Rather, the most consistent signal indicates non‐uniform convergence on reduced neuronal and synaptic expression together with increased immune‐glial programmes. A substantial additional body of evidence implicates dysregulation of transcript‐regulatory processes, particularly in studies interrogating alternative splicing and related RNA‐processing mechanisms. Cell‐resolved datasets further suggest that these abnormalities are concentrated within defined neuronal and glial populations rather than being distributed uniformly across the cortex. By contrast, mitochondrial and broader metabolic alterations are supported less consistently and are better interpreted as conditional or secondary features of cortical pathology than as equally well‐established core axes. Interpretation of these findings is constrained by the structure of the evidence base itself. Only 9 of the 43 included studies were judged to provide direct support for the central convergence question, and only 13 were based on primary independent cohorts; much of the literature relies on dataset reuse, regionally restricted sampling and heterogeneous analytical platforms. Collectively, human cortical transcriptomic studies in ASD support a model of partial, context‐dependent convergence on a limited set of biological programmes, rather than a single stable molecular lesion.
An adult synaptic ASD-associated layer and a mid-prenatal developmental-regulatory layer within predefined ASD risk-gene sets are defined and size-matched gene-level resampling indicated that the signal was not explained by gene-set size alone.
Aojie Lian, Qiong Wang, Mei He et al.· Functional & Integrative Gen...· 0 citations
NRXN1 haploinsufficiency is associated with coordinated downregulation of RNA-processing genes in cortical organoids, and the convergence on mRNA nuclear export and RNA-processing genes should be interpreted cautiously and verified by direct experimental perturbation.
Xi Lai, Jing Wen· Progress in Neuro-psychophar...· 0 citations
The findings establish MSCN as a scalable framework for decomposing ASD mRNA co-expression architecture, provide a hypothesis-generating resource linking coding and noncoding transcriptomic alterations, and help prioritize these relationships for future validation.
Chen-Ling Lee, G. Hu, Yi-Pei Li et al.· Translational Psychiatry· 0 citations
Autism spectrum disorder (ASD) is classically conceptualized as a dysconnectivity syndrome. However, most studies have examined structural and functional connectivity in isolation, leaving the coupling mechanisms between brain structure and function, particularly the contribution of white matter, poorly understood. To systematically characterize connectome pathology in ASD, we analyzed multimodal imaging data from 580 participants (240 with ASD, 340 typical controls) in the Autism Brain Imaging Data Exchange II dataset. We constructed multilayer brain networks integrating gray and white matter layers and quantified topological alterations using multiplex clustering and participation coefficients. Imaging-transcriptomic analysis was performed using the Allen Human Brain Atlas to link network changes to molecular pathways. The results revealed widespread whole-brain topological reorganization in white matter multiplex networks, involving the corpus callosum and major fiber tracts, with gene expression enriched in immune regulation and cellular metabolism pathways. The gray matter multiplex networks exhibited localized hyper-clustering centered on the cortico-striatum-thalamic-cortical circuit and the default mode network associated with genes implicated in cell adhesion and synaptic transmission. Notably, no significant group differences were observed in the multiplex participation coefficient, which indexes cross-layer integration, suggesting that the overall cross-layer connectivity distribution remains relatively stable. These findings delineate the co-occurring patterns of gray matter hyper-clustering and widespread white matter topological alterations in ASD and establish a multilevel framework bridging macroscopic connectome disruptions to the underlying molecular mechanisms, offering an integrated perspective on ASD heterogeneity.
Yingzhuo Wan, Hairong Xiao, Hanrui Chen et al.· Progress in Neuro-psychophar...· 0 citations
The study provides an integrated framework linking genetic variation to molecular dysfunction and clinical outcomes, offering valuable insights for future research and therapeutic development in pediatric neurology.
Varada Vidya Rani, Suryanarayana Reddy Kovvuri, D. Arya· Genetics and Molecular Resea...· 0 citations
FMRI data from 162 ASD and 175 TD adolescents are analyzed to demonstrate statistical associations among altered spatial-functional properties, clinical severity, and transcriptomic profiles related to synaptic signaling, mitochondrial processes, and glial-related functions in ASD, providing a complementary spatial perspective on large-scale functional organization.
Jun Pan, Heng Zhang, Yiran Zhai et al.· Frontiers in Neuroscience· 0 citations
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