ArticleTranslational pediatrics2021
Urinary proteome profiling for children with autism using data-independent acquisition proteomics.
Article in Translational pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Biomarkers and pathways in autism spectrum disorder: An individual meta-analysis based on proteomic and metabolomic data.European archives of psychiatry and clinical neuroscience · 2025Pooled it
- Scoping review of precision child and youth mental health research: dwelling in possibility.Frontiers in psychiatry · 2025Pooled it
- Network analysis of serotonin CNVs shows biological convergence from genetic heterogeneity and discriminates between autism and developmental delay.Scientific reports · 2026Article
- Article
- Analysis of neuronal activity impairment in iPSC-derived neurons from idiopathic autism patients.iScience · 2025Article
- Urinary Proteome and Exosome Analysis Protocol for the Discovery of Respiratory Diseases Biomarkers.Biomolecules · 2025Article
- Host-derived protein profiles of human neonatal meconium across gestational ages.Nature communications · 2024Article
- Recent progress in mass spectrometry-based urinary proteomics.Clinical proteomics · 2024Review
- Article
- Urinary Proteome Changes during Pregnancy in Rats.Biomolecules · 2022Article
- Distinct metabolic profiles associated with autism spectrum disorder versus cancer in individuals with germline PTEN mutations.NPJ genomic medicine · 2022Article
- Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAutism is a complex neurodevelopmental disorder. Objective and reliable biomarkers are crucial for the clinical diagnosis of autism. Urine can accumulate early changes of the whole body and is a sensitive source for disease biomarkers.
methodsThe data-independent acquisition (DIA) strategy was used to identify differential proteins in the urinary proteome between autistic and non-autistic children aged 3-7 years. Receiver operating characteristic (ROC) curves were developed to evaluate the diagnostic performance of differential proteins.
resultsA total of 118 differential proteins were identified in the urine between autistic and non-autistic children, of which 18 proteins were reported to be related to autism. Randomized grouping statistical analysis indicated that 91.5% of the differential proteins were reliable. Functional analysis revealed that some differential proteins were associated with axonal guidance signaling, endocannabinoid developing neuron pathway, synaptic long-term depression, agrin interactions at neuromuscular junction, phosphatase and tensin homolog deleted on chromosome 10 (PTEN) signaling and synaptogenesis signaling pathway. The combination of cadherin-related family member 5 (CDHR5) and vacuolar protein sorting-associated protein 4B (VPS4B) showed the best discriminative performance between autistic and non-autistic children with an area under the curve (AUC) value of 0.987.
conclusionsThe urinary proteome could distinguish between autistic children and non-autistic children. This study will provide a promising approach for future biomarker research of neuropsychiatric disorders.
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