Publication

Metabolic perturbations in classic galactosemia beyond the Leloir pathway: Insights from an untargeted metabolomic study

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Last modified
  • 05/22/2025
Type of Material
Authors
    S. Taylor Fischer, Emory UniversityAllison B. Frederick, Emory UniversityViLinh Tran, Emory UniversityShuzhao Li, Emory UniversityDean Jones, Emory UniversityJudith Fridovich-Keil, Emory University
Language
  • English
Date
  • 2019-03-01
Publisher
  • WILEY
Publication Version
Copyright Statement
  • © 2018 SSIEM
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 42
Issue
  • 2
Start Page
  • 254
End Page
  • 263
Grant/Funding Information
  • DPJ was supported in part by NIH grants ES023485 and ES025632, with instrumentation support by S10OD018006.
  • This work was funded in part by NIH grant DK107900 (to JLFK) and in part by a pilot award (to JLFK) from HERCULES, a P30 Core Center grant from the National Institute of Environmental Health Sciences (P30 ES019776).
Supplemental Material (URL)
Abstract
  • Classic galactosemia (CG) is an autosomal recessive disorder that impacts close to 1/50000 live births in the United States, with varying prevalence in other countries. Following exposure to milk, which contains high levels of galactose, affected infants may experience rapid onset and progression of potentially lethal symptoms. With the benefit of early diagnosis, generally by newborn screening, and immediate and lifelong dietary restriction of galactose, the acute sequelae of disease can be prevented or resolved. However, long-term complications are common, and despite many decades of research, the bases of these complications remain unexplained. As a step toward defining the underlying pathophysiology of long-term outcomes in CG, we applied an untargeted metabolomic approach with mass spectrometry and dual liquid chromatography, comparing thousands of small molecules in plasma samples from 183 patients and 31 controls. All patients were on galactose-restricted diets. Using both univariate and multivariate statistical methods, we identified 252 differentially abundant features from anion exchange chromatography and 167 differentially abundant features from C18 chromatography. Mapping these discriminatory features to putative metabolites and biochemical pathways revealed 14 significantly perturbed pathways; these included multiple redox, amino acid, and mitochondrial pathways, among others. Finally, we tested whether any discriminatory features also distinguished cases with mild vs more severe long-term outcomes and found multiple candidates, of which one achieved false discovery rate-adjusted q < 0.1. These results extend substantially from prior targeted studies of metabolic perturbation in CG and offer a new approach to identifying candidate modifiers and targets for intervention.
Author Notes
  • Judith L. Fridovich-Keil, Department of Human Genetics, Emory University School of Medicine, Rm. 325.2 Whitehead Bldg., 615 Michael St, Atlanta, GA 30322 TEL 404-727-3924, FAX 404-727-3949, jfridov@emory.edu
Keywords
Research Categories
  • Biology, Genetics
  • Health Sciences, Obstetrics and Gynecology

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