Skip to content
Open access

Plasma Metabolic Features Associated with Developmental Regression in Autism Spectrum Disorder: A Pilot Untargeted Metabolomics Study

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.

Read PDF

Similar papers

Open access Sep 2026

Clinical and Genetic Factors Associated With Regression in Children With Autism Spectrum Disorders.

The molecular signatures identified in regASD suggest involvement of immune and synaptic pathways, highlighting the need for further targeted research to clarify their potential therapeutic implications for this subgroup of children with ASD.

A. Maruani, Emma Delclaud, Paul Bruzeau et al. · 0 citations
Open access Jul 2026

Urinary Tryptophan Metabolites, Trace Element Status, and Autism Spectrum Disorder: An Integrated Metabolomics-Elementomics Study in Children.

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. · 0 citations
Open access Sep 2026

Amino acid profiles and clinical phenotypes in young children with autism spectrum disorder

Findings suggest oxidative stress, urea cycle dysfunction, and altered neurotransmission may contribute to the pathophysiology of ASD and related clinical phenotypes in young children, warranting further investigation to inform the development of personalized clinical and nutritional interventions.

Ilaria Serati, Luca Lalli, A. Dallapiccola et al. · 0 citations
Open access Aug 2026

A case-control analysis: changes in gut microbiota composition in children with autism spectrum disorder

Children with ASD exhibited significant differences in gut microbiota composition compared with TD children, characterized by a functional compositional imbalance-systematic depletion of butyrate-producing bacteria and Bifidobacterium spp.

Le Kang, Lin-Lin Fan, Ying Tian et al. · 0 citations
Open access Aug 2026

Feature Selection for Autism Spectrum Disorder via a Multi-Pack Cooperative Grey Wolf Optimization Framework

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 · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.