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Dataset Information

Integrated analysis of proteomics and metabolomics in girls with central precocious puberty.


ABSTRACT:

Background

Central precocious puberty (CPP) is a multifactorial and complex condition. Traditional studies focusing on a single indicator cannot always elucidate this panoramic condition but these may be revealed by using omics techniques.

Objective

Proteomics and metabolomics analysis of girls with CPP were compared to normal controls and the potential biomarkers and pathways involved were explored.

Methods

Serum proteins and metabolites from normal girls and those with CPP were compared by LC-MS/MS. Multivariate and univariate statistical analysis were used to identify the differentially expressed proteins (DEPs) and differentially expressed metabolites (DEMs). Functional annotation and pathway enrichment analysis were performed by using GO and KEGG databases, and c

SUBMITTER: Li M 

PROVIDER: S-EPMC9365929 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature