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PLoS Comput Biol. 2017 Mar 6;13(3):e1005424. doi: 10.1371/journal.pcbi.1005424. eCollection 2017 Mar.

Biomarkers are used to predict quantitative metabolite concentration profiles in human red blood cells.

Author information

1
Department of Bioengineering, University of California, San Diego, La Jolla, California, United States of America.
2
Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, California, United States of America.
3
Department of Pediatrics, University of California, San Diego, La Jolla, California, United States of America.

Abstract

Deep-coverage metabolomic profiling has revealed a well-defined development of metabolic decay in human red blood cells (RBCs) under cold storage conditions. A set of extracellular biomarkers has been recently identified that reliably defines the qualitative state of the metabolic network throughout this metabolic decay process. Here, we extend the utility of these biomarkers by using them to quantitatively predict the concentrations of other metabolites in the red blood cell. We are able to accurately predict the concentration profile of 84 of the 91 (92%) measured metabolites (p < 0.05) in RBC metabolism using only measurements of these five biomarkers. The median of prediction errors (symmetric mean absolute percent error) across all metabolites was 13%. The ability to predict numerous metabolite concentrations from a simple set of biomarkers offers the potential for the development of a powerful workflow that could be used to evaluate the metabolic state of a biological system using a minimal set of measurements.

PMID:
28264007
PMCID:
PMC5358888
DOI:
10.1371/journal.pcbi.1005424
[Indexed for MEDLINE]
Free PMC Article

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