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Dataset Information

Plasma metabolomic and lipidomic profiles accurately classify mothers of children with congenital heart disease: an observational study.


ABSTRACT:

Introduction

Congenital heart disease (CHD) is the most common congenital anomaly, representing a significant global disease burden. Limitations exist in our understanding of aetiology, diagnostic methodology and screening, with metabolomics offering promise in addressing these.

Objective

To evaluate maternal metabolomics and lipidomics in prediction and risk factor identification for childhood CHD.

Methods

We performed an observational study in mothers of children with CHD following pregnancy, using untargeted plasma metabolomics and lipidomics by ultrahigh performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS). 190 cases (157 mothers of children with structural CHD (sCHD); 33 mothers of children with genetic CHD (gCHD)) from the children OM

SUBMITTER: Mires S 

PROVIDER: S-EPMC11219374 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature