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Title: Metabolomics Identifies Perturbations in Human Disorders of Propionate Metabolism

Abstract

Abstract Background: We applied untargeted mass spectrometry-based metabolomics to the diseases methylmalonic acidemia (MMA) and propionic acidemia (PA). Methods: We used a screening platform that used untargeted, mass-based metabolomics of methanol-extracted plasma to find significantly different molecular features in human plasma samples from MMA and PA patients and from healthy individuals. Capillary reverse phase liquid chromatography (4 μL/min) was interfaced to a TOF mass spectrometer, and data were processed using nonlinear alignment software (XCMS) and an online database (METLIN) to find and identify metabolites differentially regulated in disease. Results: Of the approximately 3500 features measured, propionyl carnitine was easily identified as the best biomarker of disease (P value 1.3 × 10−18), demonstrating the proof-of-concept use of untargeted metabolomics in clinical chemistry discovery. Five additional acylcarnitine metabolites showed significant differentiation between plasma from patients and healthy individuals, and γ-butyrobetaine was highly increased in a subset of patients. Two acylcarnitine metabolites and numerous unidentified species differentiate MMA and PA. Many metabolites that do not appear in any public database, and that remain unidentified, varied significantly between normal, MMA, and PA, underscoring the complex downstream metabolic effects resulting from the defect in a single enzyme. Conclusions: This proof-of-concept study demonstrates that metabolomics canmore » expand the range of metabolites associated with human disease and shows that this method may be useful for disease diagnosis and patient clinical evaluation.« less

Authors:
 [1];  [2];  [2];  [1]
  1. Department of Molecular Biology and The Center for Mass Spectrometry, The Scripps Research Institute, La Jolla, CA
  2. Department of Pediatrics, University of California–San Diego, School of Medicine, La Jolla, CA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1581656
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Published Article
Journal Name:
Clinical Chemistry
Additional Journal Information:
Journal Name: Clinical Chemistry Journal Volume: 53 Journal Issue: 12; Journal ID: ISSN 0009-9147
Publisher:
Oxford University Press
Country of Publication:
United States
Language:
English

Citation Formats

Wikoff, William R., Gangoiti, Jon A., Barshop, Bruce A., and Siuzdak, Gary. Metabolomics Identifies Perturbations in Human Disorders of Propionate Metabolism. United States: N. p., 2020. Web. doi:10.1373/clinchem.2007.089011.
Wikoff, William R., Gangoiti, Jon A., Barshop, Bruce A., & Siuzdak, Gary. Metabolomics Identifies Perturbations in Human Disorders of Propionate Metabolism. United States. doi:10.1373/clinchem.2007.089011.
Wikoff, William R., Gangoiti, Jon A., Barshop, Bruce A., and Siuzdak, Gary. Wed . "Metabolomics Identifies Perturbations in Human Disorders of Propionate Metabolism". United States. doi:10.1373/clinchem.2007.089011.
@article{osti_1581656,
title = {Metabolomics Identifies Perturbations in Human Disorders of Propionate Metabolism},
author = {Wikoff, William R. and Gangoiti, Jon A. and Barshop, Bruce A. and Siuzdak, Gary},
abstractNote = {Abstract Background: We applied untargeted mass spectrometry-based metabolomics to the diseases methylmalonic acidemia (MMA) and propionic acidemia (PA). Methods: We used a screening platform that used untargeted, mass-based metabolomics of methanol-extracted plasma to find significantly different molecular features in human plasma samples from MMA and PA patients and from healthy individuals. Capillary reverse phase liquid chromatography (4 μL/min) was interfaced to a TOF mass spectrometer, and data were processed using nonlinear alignment software (XCMS) and an online database (METLIN) to find and identify metabolites differentially regulated in disease. Results: Of the approximately 3500 features measured, propionyl carnitine was easily identified as the best biomarker of disease (P value 1.3 × 10−18), demonstrating the proof-of-concept use of untargeted metabolomics in clinical chemistry discovery. Five additional acylcarnitine metabolites showed significant differentiation between plasma from patients and healthy individuals, and γ-butyrobetaine was highly increased in a subset of patients. Two acylcarnitine metabolites and numerous unidentified species differentiate MMA and PA. Many metabolites that do not appear in any public database, and that remain unidentified, varied significantly between normal, MMA, and PA, underscoring the complex downstream metabolic effects resulting from the defect in a single enzyme. Conclusions: This proof-of-concept study demonstrates that metabolomics can expand the range of metabolites associated with human disease and shows that this method may be useful for disease diagnosis and patient clinical evaluation.},
doi = {10.1373/clinchem.2007.089011},
journal = {Clinical Chemistry},
number = 12,
volume = 53,
place = {United States},
year = {2020},
month = {1}
}

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