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  • Poster presentation
  • P-I-0319

Urinary proteome profiling for children with autism using data-independent acquisition proteomics

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Clinical Proteomics

Poster

Urinary proteome profiling for children with autism using data-independent acquisition proteomics

Topic

  • Clinical Proteomics

Authors

Wenshu Meng (Beijing / CN), Yuhang Huan (Beijing / CN), Youhe Gao (Beijing / CN)

Abstract

Background: Autism 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.
Methods: The 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.
Results: A 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.
Conclusions: The 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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