TY  - JOUR
A1  - Bliziotis, Nikolaos G.
A1  - Kluijtmans, Leo A. J.
A1  - Soto, Sebastian
A1  - Tinnevelt, Gerjen H.
A1  - Langton, Katharina
A1  - Robledo, Mercedes
A1  - Pamporaki, Christina
A1  - Engelke, Udo F. H.
A1  - Erlic, Zoran
A1  - Engel, Jasper
A1  - Deutschbein, Timo
A1  - Nölting, Svenja
A1  - Prejbisz, Aleksander
A1  - Richter, Susan
A1  - Prehn, Cornelia
A1  - Adamski, Jerzy
A1  - Januszewicz, Andrzej
A1  - Reincke, Martin
A1  - Fassnacht, Martin
A1  - Eisenhofer, Graeme
A1  - Beuschlein, Felix
A1  - Kroiss, Matthias
A1  - Wevers, Ron A.
A1  - Jansen, Jeroen J.
A1  - Deinum, Jaap
A1  - Timmers, Henri J. L. M.
T1  - Pre- versus post-operative untargeted plasma nuclear magnetic resonance spectroscopy metabolomics of pheochromocytoma and paraganglioma
T2  - Endocrine
N2  - 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.
KW  - PPGL
KW  - metabolomics
KW  - NMR
KW  - paired
KW  - plasma
KW  - operation
Y1  - 2022
UR  - https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/32657
UR  - https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-326574
VL  - 75
IS  - 1
ER  -