Machine learning approach identifies meconium metabolites as potential biomarkers of neonatal hyperbilirubinemia.

ABSTRACT:

Background

The gut microbiota plays an important role in the early stages of human life. Our previous study showed that the abundance of intestinal flora involved in galactose metabolism was altered and correlated with increased serum bilirubin levels in children with jaundice. We conducted the present study to systematically evaluate alterations in the meconium metabolome of neonates with jaundice and search for metabolic markers associated with neonatal jaundice.

Methods

We included 68 neonates with neonatal hyperbilirubinemia, also known as neonatal jaundice (NJ) and 68 matched healthy controls (HC), collected meconium samples from them at birth, and performed metabolomic analysis via liquid chromatography-mass spectrometry.

Results

Gut metabolites enabled clearly

SUBMITTER: Zeng S 

PROVIDER: S-EPMC9027383 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature