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Structural elucidation of novel biomarkers of known metabolic disorders based on multistage fragmentation mass spectra

  • Metabolomics
  • Published:
Journal of Inherited Metabolic Disease

Abstract

Specific diagnostic markers are the key to effective diagnosis and treatment of inborn errors of metabolism (IEM). Untargeted metabolomics allows for the identification of potential novel diagnostic biomarkers. Current separation techniques coupled to high-resolution mass spectrometry provide a powerful tool for structural elucidation of unknown compounds in complex biological matrices. This is a proof-of-concept study testing this methodology to determine the molecular structure of as yet uncharacterized m/z signals that were significantly increased in plasma samples from patients with phenylketonuria and 3-hydroxy-3-methylglutaryl-CoA lyase deficiency. A hybrid linear ion trap-orbitrap high resolution mass spectrometer, capable of multistage fragmentation, was used to acquire accurate masses and product ion spectra of the uncharacterized m/z signals. In order to determine the molecular structures, spectral databases were searched and fragmentation prediction software was used. This approach enabled structural elucidation of novel compounds potentially useful as biomarkers in diagnostics and follow-up of IEM patients. Two new conjugates, glutamyl-glutamyl-phenylalanine and phenylalanine-hexose, were identified in plasma of phenylketonuria patients. These novel markers showed high inter-patient variation and did not correlate to phenylalanine levels, illustrating their potential added value for follow-up. As novel biomarkers for 3-hydroxy-3-methylglutaryl-CoA lyase deficiency, three positional isomers of 3-methylglutaconyl carnitine could be detected in patient plasma. Our results highlight the applicability of current accurate mass multistage fragmentation techniques for structural elucidation of unknown metabolites in human biofluids, offering an unprecedented opportunity to gain further biochemical insights in known inborn errors of metabolism by enabling high confidence identification of novel biomarkers.

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Abbreviations

CID:

Collision-induced dissociation

FWHM:

Full width at half maximum

Glu-Glu-Phe:

Glutamyl-glutamyl-phenylalanine

Glu-Phe:

Glutamyl-phenylalanine

HCD:

High-energy collisional dissociation

HMDB:

The human metabolome database

HMGCLD:

3-Hydroxy-3-methylglutaryl-CoA lyase deficiency

HRMS:

High-resolution mass spectrometry

IEM:

Inborn error of metabolism

LC:

Liquid chromatography

MSI:

Metabolomics standards initiative

MSn :

Multistage fragmentation mass spectrometry

NMR:

Nuclear magnetic resonance

PAHD:

Phenylalanine hydroxylase deficiency

Phe:

Phenylalanine

Phe-Phe:

Phenylalanyl-phenylalanine

PKU:

Phenylketonuria

ppm:

Parts per million

QTOF MS:

Quadrupole time-of-flight mass spectrometry

RDB:

Ring-double-bond

RT:

Retention time

Tyr:

Tyrosine

UHPLC:

Ultra-high performance liquid chromatography

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Acknowledgments

This work was supported by NPU I (LO1304) and Czech Science Foundation Grant 15-34613 L. The authors confirm independence from the sponsors; the content of the article has not been influenced by the sponsors.

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Authors

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Correspondence to Tomáš Adam.

Ethics declarations

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000.

Informed consent

Informed consent was obtained from all patients for being included in the study.

This article does not contain any studies with animal subjects performed by the any of the authors.

Conflict of interest

J. Václavík, K. L. M. Coene, I. Vrobel, L. Najdekr, D. Friedecký, R. Karlíková, L. Mádrová, A. Petsalo, U. F. H. Engelke, A. van Wegberg, L. A. J. Kluijtmans, T. Adam and R. A. Wevers declare that they have no conflict of interest.

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Communicated by: Nenad Blau

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Václavík, J., Coene, K.L.M., Vrobel, I. et al. Structural elucidation of novel biomarkers of known metabolic disorders based on multistage fragmentation mass spectra. J Inherit Metab Dis 41, 407–414 (2018). https://doi.org/10.1007/s10545-017-0109-4

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  • DOI: https://doi.org/10.1007/s10545-017-0109-4

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