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Bliziotis, N.G.* ; Kluijtmans, L.A.J.* ; Tinnevelt, G.H.* ; Reel, P.* ; Reel, S.* ; Langton, K.* ; Robledo, M.* ; Pamporaki, C.* ; Pecori, A.* ; Van Kralingen, J.* ; Tetti, M.* ; Engelke, U.F.H.* ; Erlic, Z.* ; Engel, J.* ; Deutschbein, T.* ; Nölting, S.* ; Prejbisz, A.* ; Richter, S.* ; Adamski, J. ; Januszewicz, A.* ; Ceccato, F.* ; Scaroni, C.* ; Dennedy, M.C.* ; Williams, T.A.* ; Lenzini, L.* ; Gimenez-Roqueplo, A.P.* ; Davies, E.* ; Fassnacht, M.* ; Remde, H.* ; Eisenhofer, G.* ; Beuschlein, F.* ; Kroiss, M.* ; Jefferson, E.* ; Zennaro, M.C.* ; Wevers, R.A.* ; Jansen, J.J.* ; Deinum, J.* ; Timmers, H.J.L.M.*

Preanalytical pitfalls in untargeted plasma nuclear magnetic resonance metabolomics of endocrine hypertension.

Metabolites 12:679 (2022)
Postprint Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Despite considerable morbidity and mortality, numerous cases of endocrine hypertension (EHT) forms, including primary aldosteronism (PA), pheochromocytoma and functional paraganglioma (PPGL), and Cushing's syndrome (CS), remain undetected. We aimed to establish signatures for the different forms of EHT, investigate potentially confounding effects and establish unbiased disease biomarkers. Plasma samples were obtained from 13 biobanks across seven countries and analyzed using untargeted NMR metabolomics. We compared unstratified samples of 106 PHT patients to 231 EHT patients, including 104 PA, 94 PPGL and 33 CS patients. Spectra were subjected to a multivariate statistical comparison of PHT to EHT forms and the associated signatures were obtained. Three approaches were applied to investigate and correct confounding effects. Though we found signatures that could separate PHT from EHT forms, there were also key similarities with the signatures of sample center of origin and sample age. The study design restricted the applicability of the corrections employed. With the samples that were available, no biomarkers for PHT vs. EHT could be identified. The complexity of the confounding effects, evidenced by their robustness to correction approaches, highlighted the need for a consensus on how to deal with variabilities probably attributed to preanalytical factors in retrospective, multicenter metabolomics studies.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Confounders ; Metabolomics ; Multicenter ; Plasma Nmr ; Preanalytical Conditions
Language english
Publication Year 2022
HGF-reported in Year 2022
ISSN (print) / ISBN 2218-1989
e-ISSN 2218-1989
Journal Metabolites
Quellenangaben Volume: 12, Issue: 8, Pages: , Article Number: 679 Supplement: ,
Publisher MDPI
Reviewing status Peer reviewed
Institute(s) Institute of Experimental Genetics (IEG)
POF-Topic(s) 30201 - Metabolic Health
Research field(s) Genetics and Epidemiology
PSP Element(s) G-500600-001
DOI 10.3390/metabo12080679
WOS ID WOS:000845412300001
Scopus ID 85137390663
PubMed ID 35893246
Erfassungsdatum 2022-09-01
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