Evidence map›Paper›PMID 39361099›Full record

SynthesisEuropean archives of psychiatry and clinical neuroscience2025

Biomarkers and pathways in autism spectrum disorder: An individual meta-analysis based on proteomic and metabolomic data.

Kun Xie, Yi Sun, Xue Li, Shuo Yang, Menghe Wang, Yi Zhang, Qi Wang, Kunpeng Wu, Di Kong, Tingting Guo and 2 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European archives of psychiatry and clinical neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Kun XieDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, Guangdong Province, P. R. China.
Yi SunDepartment of Paediatric, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, P. R. China.
Xue LiDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong Province, P. R. China.
Shuo YangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, Guangdong Province, P. R. China.
Menghe WangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, Guangdong Province, P. R. China.
Yi ZhangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, Guangdong Province, P. R. China.
Qi WangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, Guangdong Province, P. R. China.
Kunpeng WuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, Guangdong Province, P. R. China.
Di KongDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, Guangdong Province, P. R. China.
Tingting GuoDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, Guangdong Province, P. R. China.
Xiangyang LuoDepartment of Paediatric, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, P. R. China.
Wen ChenDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, Guangdong Province, P. R. China. chenw43@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-6839-8890

Funding

China Medical Board 20389Science Fund for Distinguished Young Scholars of Guangdong Province 2022B1515020094
6 · The paper itself

Abstract

The utilization of biomarkers for the diagnosis and management of autism spectrum disorders (ASD) remains a relatively unexplored frontier in clinical practice. Proteomics and metabolomics are important tools for revealing key biomarkers and evaluating biological pathways in ASD. We conducted an individual meta-analysis to compare the consistency of biomarkers of ASD from central nervous system (brain and cerebrospinal fluid), circulatory system (blood), and non-invasive samples (urine, saliva, and faeces) and performed pathway enrichment analyses to identify pathways enriched in ASD. After screening 926 proteomics and 619 metabolomics articles, we collected data from 10 studies involving 940 differential proteins and 16 studies assessing a total of 748 differential metabolites. In brain tissue, blood, and urine of ASD cases and controls, flotillin-2 (FLOT2), apolipoprotein E (ApoE), and EH domain-containing protein 3 (EHD3) exhibit differential expression, while vinculin (VCL) displays variations in saliva, blood, and urine. Similarly, in case-control studies, gelsolin (GSN) shows differential expression in brain tissue, saliva, and urine, and malate dehydrogenase 2 (MDH2) in brain tissue, blood, and saliva. Hippuric acid and salicyluric acid were simultaneously found in the brain, blood, urine, and faeces. In terms of pathways, glycolysis/gluconeogenesis, carbon metabolism, and glutathione metabolism were enriched in the brain as well as in saliva or urine. In our study, we identified six shared protein and two metabolic markers in central nervous system, circulatory system, and non-invasive samples, underscoring their potential value for ASD diagnosis and management, warranting further research.

Indexed as

Autism Spectrum DisorderBiomarkersMetabolomicsProteomicsHumansBiomarkersAutism spectrum disorder (ASD)BiomarkersBiosamplesMetabolomicsProteomic

Identifiers

PMID39361099

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.