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Murakami, M.* ; Rhayem, Y.* ; Kunzke, T. ; Sun, N. ; Feuchtinger, A. ; Ludwig, P.* ; Strom, T.M. ; Gomez-Sanchez, C.* ; Knösel, T.* ; Kirchner, T.* ; Williams, T.A.* ; Reincke, M.* ; Walch, A.K. ; Beuschlein, F.*

In situ metabolomics of aldosterone-producing adenomas.

JCI insight 4:e130356 (2019)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Recent genetic examinations and multisteroid profiles have provided the basis for subclassification of aldosterone-producing adenomas (APAs). The objective of the current study was to produce a comprehensive, high-resolution mass spectrometry imaging (MSI) map of APAs in relation to morphometry, immunohistochemical profiles, mutational status, and clinical outcome. The study cohort comprised 136 patients with unilateral primary aldosteronism. Matrix-assisted laser desorption/ionization-Fourier transform-ion cyclotron resonance MSI was conducted, and metabolite profiles were analyzed with genotype/phenotype information, including digital image analysis from morphometry and IHC of steroidogenic enzymes. Distinct molecular signatures between KCNJ5- and CACNA1D-mutated APAs with significant differences of 137 metabolites, including metabolites of purine metabolism and steroidogenesis, were observed. Intratumor concentration of 18-oxocortisol and 18-hydroxycortisol were inversely correlated with the staining intensity of CYP11B1. Lower staining intensity of CYP11B1 and higher levels of 18-oxocortisol were associated with a higher probability of complete clinical success after surgery. The present study demonstrates distinct metabolomic profiles of APAs in relation to tumor genotype. In addition, we reveal an inverse correlation between cortisol derivatives and CYP11B1 and the impact of 18-oxocortisol and CYP11B1 on clinical outcome, which provides unprecedented insights into the pathophysiology, clinical features, and steroidogenesis of APAs.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Endocrinology ; Hypertension
Sprache englisch
Veröffentlichungsjahr 2019
HGF-Berichtsjahr 2019
ISSN (print) / ISBN 2379-3708
e-ISSN 2379-3708
Zeitschrift JCI insight
Quellenangaben Band: 4, Heft: 17, Seiten: , Artikelnummer: e130356 Supplement: ,
Verlag Clarivate
Verlagsort Ann Arbor, Michigan
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Analytical Pathology (AAP)
CF Pathology & Tissue Analytics (CF-PTA)
Institute of Human Genetics (IHG)
POF Topic(s) 30205 - Bioengineering and Digital Health
30505 - New Technologies for Biomedical Discoveries
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Forschungsfeld(er) Enabling and Novel Technologies
Genetics and Epidemiology
PSP-Element(e) G-500390-001
A-630600-001
G-500700-001
Scopus ID 85072258248
PubMed ID 31484828
Erfassungsdatum 2019-09-23