Structural elucidation of novel biomarkers of known metabolic disorders based on multistage fragmentation mass spectra. Issue 3 (14th November 2017)
- Record Type:
- Journal Article
- Title:
- Structural elucidation of novel biomarkers of known metabolic disorders based on multistage fragmentation mass spectra. Issue 3 (14th November 2017)
- Main Title:
- Structural elucidation of novel biomarkers of known metabolic disorders based on multistage fragmentation mass spectra
- Authors:
- Václavík, Jan
Coene, Karlien L. M.
Vrobel, Ivo
Najdekr, Lukáš
Friedecký, David
Karlíková, Radana
Mádrová, Lucie
Petsalo, Aleksanteri
Engelke, Udo F. H.
van Wegberg, Annemiek
Kluijtmans, Leo A. J.
Adam, Tomáš
Wevers, Ron A. - Abstract:
- 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 lyaseAbstract: 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. … (more)
- Is Part Of:
- Journal of inherited metabolic disease. Volume 41:Issue 3(2018)
- Journal:
- Journal of inherited metabolic disease
- Issue:
- Volume 41:Issue 3(2018)
- Issue Display:
- Volume 41, Issue 3 (2018)
- Year:
- 2018
- Volume:
- 41
- Issue:
- 3
- Issue Sort Value:
- 2018-0041-0003-0000
- Page Start:
- 407
- Page End:
- 414
- Publication Date:
- 2017-11-14
- Subjects:
- Metabolism, Inborn errors of -- Periodicals
Metabolism -- Disorders -- Periodicals
616.39042 - Journal URLs:
- http://www.springer.com/gb/ ↗
- DOI:
- 10.1007/s10545-017-0109-4 ↗
- Languages:
- English
- ISSNs:
- 0141-8955
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5006.950000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9778.xml