Pre- versus post-operative untargeted plasma nuclear magnetic resonance spectroscopy metabolomics of pheochromocytoma and paraganglioma

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Nikolaos G. Bliziotis - , Radboud University Nijmegen (Autor:in)
  • Leo A.J. Kluijtmans - , Radboud University Nijmegen (Autor:in)
  • Sebastian Soto - , Radboud University Nijmegen (Autor:in)
  • Gerjen H. Tinnevelt - , Radboud University Nijmegen (Autor:in)
  • Katharina Langton - , Medizinische Klinik und Poliklinik 3 (Autor:in)
  • Mercedes Robledo - , Instituto de Salud Carlos III (Autor:in)
  • Christina Pamporaki - , Medizinische Klinik und Poliklinik 3 (Autor:in)
  • Udo F.H. Engelke - , Radboud University Nijmegen (Autor:in)
  • Zoran Erlic - , Universität Zürich (Autor:in)
  • Jasper Engel - , Wageningen University & Research (WUR) (Autor:in)
  • Timo Deutschbein - , Julius-Maximilians-Universität Würzburg, Medicover Oldenburg MVZ (Autor:in)
  • Svenja Nölting - , Ludwig-Maximilians-Universität München (LMU) (Autor:in)
  • Aleksander Prejbisz - , Cardinal Stefan Wyszynski Institute of Cardiology (Autor:in)
  • Susan Richter - , Institut für Klinische Chemie und Laboratoriumsmedizin (Autor:in)
  • Cornelia Prehn - , Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (Autor:in)
  • Jerzy Adamski - , University of Ljubljana, National University of Singapore, Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (Autor:in)
  • Andrzej Januszewicz - , Cardinal Stefan Wyszynski Institute of Cardiology (Autor:in)
  • Martin Reincke - , Ludwig-Maximilians-Universität München (LMU) (Autor:in)
  • Martin Fassnacht - , Julius-Maximilians-Universität Würzburg (Autor:in)
  • Graeme Eisenhofer - , Medizinische Klinik und Poliklinik 3, Institut für Klinische Chemie und Laboratoriumsmedizin (Autor:in)
  • Felix Beuschlein - , Universität Zürich, Ludwig-Maximilians-Universität München (LMU) (Autor:in)
  • Matthias Kroiss - , Julius-Maximilians-Universität Würzburg, Ludwig-Maximilians-Universität München (LMU) (Autor:in)
  • Ron A. Wevers - , Radboud University Nijmegen (Autor:in)
  • Jeroen J. Jansen - , Radboud University Nijmegen (Autor:in)
  • Jaap Deinum - , Radboud University Nijmegen (Autor:in)
  • Henri J.L.M. Timmers - , Radboud University Nijmegen (Autor:in)

Abstract

Purpose: Pheochromocytomas and Paragangliomas (PPGL) result in chronic catecholamine excess and serious health complications. A recent study obtained a metabolic signature in plasma from PPGL patients; however, its targeted nature may have generated an incomplete picture and a broader approach could provide additional insights. We aimed to characterize the plasma metabolome of PPGL patients before and after surgery, using an untargeted approach, and to broaden the scope of the investigated metabolic impact of these tumors. Design: A cohort of 36 PPGL patients was investigated. Blood plasma samples were collected before and after surgical tumor removal, in association with clinical and tumor characteristics. Methods: Plasma samples were analyzed using untargeted nuclear magnetic resonance (NMR) spectroscopy metabolomics. The data were evaluated using a combination of uni- and multi-variate statistical methods. Results: Before surgery, patients with a nonadrenergic tumor could be distinguished from those with an adrenergic tumor based on their metabolic profiles. Tyrosine levels were significantly higher in patients with high compared to those with low BMI. Comparing subgroups of pre-operative samples with their post-operative counterparts, we found a metabolic signature that included ketone bodies, glucose, organic acids, methanol, dimethyl sulfone and amino acids. Three signals with unclear identities were found to be affected. Conclusions: Our study suggests that the pathways of glucose and ketone body homeostasis are affected in PPGL patients. BMI-related metabolite levels were also found to be altered, potentially linking muscle atrophy to PPGL. At baseline, patient metabolomes could be discriminated based on their catecholamine phenotype.

Details

OriginalspracheEnglisch
Seiten (von - bis)254-265
Seitenumfang12
FachzeitschriftEndocrine
Jahrgang75
Ausgabenummer1
PublikationsstatusVeröffentlicht - Jan. 2022
Peer-Review-StatusJa

Externe IDs

PubMed 34536194
ORCID /0000-0002-3549-2477/work/148145335

Schlagworte

Ziele für nachhaltige Entwicklung

Schlagwörter

  • Metabolomics, NMR, Operation, Paired, Plasma, PPGL

Bibliotheksschlagworte