ReviewInternational journal of molecular sciences2023
Metabolomics: Perspectives on Clinical Employment in Autism Spectrum Disorder.
Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Plasma Metabolic Features Associated with Developmental Regression in Autism Spectrum Disorder: A Pilot Untargeted Metabolomics Study.International journal of molecular sciences · 2026Article
- Integrated multi-matrix metabolomics reveals gut microbiota-driven systemic metabolic alterations and therapeutic remodeling by fecal microbiota transplantation in autism spectrum disorder.Journal of translational medicine · 2026Article
- Gut Microbiota and Mitochondrial Dysfunction in Autism: Clinical Correlations and Future Directions.Molecular neurobiology · 2026Review
- Gut dysbiosis in neurodevelopmental disorders: linking microbiota signatures to cognitive rigidity in autism spectrum disorder.Frontiers in microbiology · 2026Review
- Interventions targeting the gut microbiota and their possible effect on gastrointestinal and neurobehavioral symptoms in autism spectrum disorder.Gut microbes · 2025Review
- From Bacillus Criminalis to the Legalome: Will Neuromicrobiology Impact 21st Century Criminal Justice?Brain sciences · 2025Article
- Article
- Autism Spectrum Disorder Pathogenesis-A Cross-Sectional Literature Review Emphasizing Molecular Aspects.International journal of molecular sciences · 2024Review
- Metabolomic changes in children with autism.World journal of clinical pediatrics · 2024Article
- MS analysis of the plasma metabolome reveals major changes of amino acid and energy metabolism for early-onset schizophrenia.American journal of translational research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision medicine is imminent, and metabolomics is one of the main actors on stage. We summarize and discuss the current literature on the clinical application of metabolomic techniques as a possible tool to improve early diagnosis of autism spectrum disorder (ASD), to define clinical phenotypes and to identify co-occurring medical conditions. A review of the current literature was carried out after PubMed, Medline and Google Scholar were consulted. A total of 37 articles published in the period 2010-2022 was included. Selected studies involve as a whole 2079 individuals diagnosed with ASD (1625 males, 394 females; mean age of 10, 9 years), 51 with other psychiatric comorbidities (developmental delays), 182 at-risk individuals (siblings, those with genetic conditions) and 1530 healthy controls (TD). Metabolomics, reflecting the interplay between genetics and environment, represents an innovative and promising technique to approach ASD. The metabotype may mirror the clinical heterogeneity of an autistic condition; several metabolites can be expressions of dysregulated metabolic pathways thus liable of leading to clinical profiles. However, the employment of metabolomic analyses in clinical practice is far from being introduced, which means there is a need for further studies for the full transition of metabolomics from clinical research to clinical diagnostic routine.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.