Aug 2026· International Journal of Molecular Sciences· Vol 27, pp. 6995· 0 citations· 41 references
Medicine
TL;DR
Several plasma metabolic features showing abundance differences among children with REG+, REG−, and typically developing controls are identified and require confirmation using authenticated standards, targeted quantitative methods, and independently recruited cohorts before any diagnostic, predictive, or therapeutic relevance can be established.
Abstract
Developmental regression, the loss of previously acquired language and social skills during the second year of life, affects 20–40% of children with autism spectrum disorder (ASD), yet its metabolic underpinnings remain poorly defined. Existing metabolomics studies have focused on amino acid and acylcarnitine alterations, leaving the eicosanoid, sphingolipid, and glycoconjugate axes largely unexamined. Plasma from 25 children with regressive ASD (REG+), 27 with non-regressive ASD (REG−), and 21 typically developing controls (aged 2–6 years) was profiled using untargeted Q-TOF LC/MS (Agilent 6530, ESI+ mode, 100–1700 m/z). From 6657 detected features, a stepwise curation pipeline combining statistical significance (raw p < 0.05 with Benjamini–Hochberg FDR correction, q < 0.05; FC > 1.5), analytical plausibility, endogenous origin verification, and literature-based directional alignment yielded a prioritized set of 14 annotated metabolic features. Exploratory PLS-DA (Partial Least-Squares Discriminant Analysis) visualization showed separation among the three groups within the present dataset; however, diagnostic or predictive performance was not evaluated. The 14-feature panel clustered along four biochemical axes. A feature putatively annotated as prostaglandin E3 (PGE3) showed a 7.13-fold reduction in REG+ versus controls (1.58-fold in REG−; FC REG+/REG− = 4.52). N-Acetylneuraminosyl-(α2-6)lactosamine and aspartylglycosamine were decreased 4.44-fold and 5.42-fold in REG+, respectively, with regression-specific amplification (FC REG+/REG− > 2.0). Six sphingolipid–myelin metabolites showed coordinated biosynthetic depletion and catabolic elevation in both ASD groups without regression specificity. DHEA-S exhibited the largest subgroup differential (FC REG+/REG− = 8.89), with paradoxically greater depletion in the non-regressive group. This exploratory study identified several plasma metabolic features showing abundance differences among children with REG+, REG−, and typically developing controls. These findings are hypothesis-generating and require confirmation using authenticated standards, targeted quantitative methods, and independently recruited cohorts before any diagnostic, predictive, or therapeutic relevance can be established.
Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition with complex genetic and environmental underpinnings. A clinically significant subset of children with ASD experience developmental regression (regASD), characterized by the acute loss of previously acquired skills. The mechanisms, predictor...
A. Maruani, Emma Delclaud, Paul Bruzeau et al.· Autism Research· 0 citations
Ass associations between urinary tryptophan-pathway metabolites and essential/toxic trace elements in children with ASD and healthy controls are investigated, suggesting cofactor-dependent modulation in ASD.
Jusko Osredkar, Kristina Kumer, Maja Jekovec-Vrhovšek et al.· International Journal of Try...· 0 citations
Introduction In 394 children with autism spectrum disorder (ASD), we investigated the association between plasma amino acid (AA) concentrations and clinical phenotypes. Methods Multivariable logistic regression models were used to evaluate the associations between 22 AAs and clinical features, reporting odds ratios. Re...
Ilaria Serati, Luca Lalli, A. Dallapiccola et al.· Frontiers in Neuroscience· 0 citations
Background Gut microbiota dysbiosis has been increasingly implicated in autism spectrum disorder (ASD), with the gut-brain axis proposed as a potential mechanistic link. However, ASD-specific microbial signatures remain inconsistent across studies, and whether reported associations reflect primary dysbiosis or ASD-rela...
Le Kang, Lin-Lin Fan, Ying Tian et al.· Frontiers in Microbiology· 0 citations
The identified gene signature showed improved classification accuracy, and its enriched biological functions provided insights into ASD-related molecular mechanisms, suggesting potential value for future ASD-related genomic research and non-invasive diagnostic exploration.
Alicia Fei· International Journal of Bio...· 0 citations
Fetal Alcohol Spectrum Disorders (FASDs) are common but require difficult-to-find multi-disciplinary teams for diagnosis. Consequently, a majority of children born with prenatal alcohol exposure (PAE) are never diagnosed and are at risk for adverse secondary outcomes. To address this deficit, we and other groups have...
A. Mahnke, Ann M Alex, John-Gregorey Hernandez et al.· Translational Psychiatry· 0 citations
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