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Dataset Information

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


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 ind

SUBMITTER: Meng W 

PROVIDER: S-EPMC8349970 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature