Metabolic profiles and prediction of failure to thrive of citrin deficiency with normal liver function based on metabolomics and machine learning

Metabolic profiles and prediction of failure to thrive of citrin deficiency with normal liver function based on metabolomics and machine learning

Abstract Purpose This study aimed to explore metabolite pathways and identify residual metabolites during the post-neonatal intrahepatic cholestasis caused by citrin deficiency (post-NICCD) phase, while developing a predictive model for failure to thrive (FTT) using selected metabolites. Method A ca...

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Bibliographic Details
Main Authors: Peiyao Wang, Duo Zhou, Lingwei Hu, Pingping Ge, Ziyan Cen, Zhenzhen Hu, Qimin He, Kejun Zhou, Benqing Wu, Xinwen Huang
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Nutrition & Metabolism
Subjects:
Citrin deficiency
Metabolomics
Failure to thrive
Amino acids
Lipids
Online Access:https://doi.org/10.1186/s12986-025-00928-x
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https://doi.org/10.1186/s12986-025-00928-x

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