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

Authors :
Sebastian Soto
Aleksander Prejbisz
Katharina Langton
Svenja Nölting
Martin Reincke
Jaap Deinum
Felix Beuschlein
Mercedes Robledo
Jasper Engel
Cornelia Prehn
Susan Richter
Ron A. Wevers
Gerjen H. Tinnevelt
Christina Pamporaki
Leo A. J. Kluijtmans
Martin Fassnacht
Zoran Erlic
Timo Deutschbein
Udo F. H. Engelke
Graeme Eisenhofer
Henri J L M Timmers
Jeroen J. Jansen
Andrzej Januszewicz
Matthias Kroiss
Nikolaos G. Bliziotis
Jerzy Adamski
University of Zurich
Bliziotis, Nikolaos G
Timmers, Henri J L M
Source :
Endocrine, DOI: 10.1007/s12020-021-02858-z (2021), Endocrine, 75(1), 254-265, Endocrine, Endocrine, 75, 254-265, Endocrine, 75, 1, pp. 254-265, Endocrine 75 (2022) 1, International Journal of Basic and Clinical Endocrinology
Publication Year :
2021
Publisher :
Springer, 2021.

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

Language :
English
ISSN :
1355008X
Database :
OpenAIRE
Journal :
Endocrine, DOI: 10.1007/s12020-021-02858-z (2021), Endocrine, 75(1), 254-265, Endocrine, Endocrine, 75, 254-265, Endocrine, 75, 1, pp. 254-265, Endocrine 75 (2022) 1, International Journal of Basic and Clinical Endocrinology
Accession number :
edsair.doi.dedup.....6084ba9e908935e33715061541110b52
Full Text :
https://doi.org/10.1007/s12020-021-02858-z