Phenotype and Multi-omics Analysis of Children With Congenital Diarrhea and Enteropathy in China

Biomarkers of congenital diarrhea and enteropathy with diagnostic value through microbiome, metabolome and proteome features

Plasma and stool were collected from patients and healthy control children for multi-omics screening to identify biomarkers, of which differential expression were mined through proteome(olink), microbiome(metagenomic sequencing) and metabolome( untargeted metabolomics)，relevant statistical analyses were performed using non-parametric tests, such as the Wilcoxon signed-rank test.

Time frame: Within approximately 2 years of enrollment

Cinical risk prediction model for congenital diarrhea and enteropathy built by artificial intelligence and machine learning

Using artificial intelligence and machine learning to construct predictive models for congenital diarrhea and enteropathy by combining children's clinical phenotypes and multi-omics results，such as the random forest model

Time frame: Within approximately 30 months of enrollment