ECE2016 Guided Posters Adrenal (2) (10 abstracts)
Plasma metabolomics profile in patients with Cushing’s syndrome
Guido Di Dalmazi 1 , Marcus Quinkler 2 , Timo Deutschbein 4 , Cornelia Prehn 5 , Nada Rayes 3 , Matthias Kroiss 4 , Martin Fassnacht 4 , Christina Berr 1 , Günter Stalla 6 , Jerzy Adamski 5 , Martin Reincke 1 & Felix Beuschlein 1
1Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Munich, Germany; 2Endocrinology in Charlottenburg, Berlin, Germany; 3Department of General-, Visceral and Transplant Surgery, Charité Campus Virchow Clinic, Berlin, Germany; 4Endocrine and Diabetes Unit, Department of Internal Medicine I, University Hospital, University of Würzburg, Würzburg, Germany; 5Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, Munich, Germany; 6Max-Planck-Institute of Psychiatry, Clinical Neuroendocrinology Unit, Munich, Germany.
Background: Cushing’s syndrome (CS) is a chronic disorder characterized by endogenous cortisol excess resulting in long-term metabolic and cardiovascular consequences. The identification of metabolic alterations related to hypercortisolism could be beneficial in tailoring treatments of co-morbidities. Our aim was to characterize the metabolic alterations of patients with hypercortisolism by targeted plasma metabolomic profiling.
Methods: Subjects (n=149) were recruited from three German centers (Munich, Berlin, and Würzburg) belonging to the German Cushing registry (CUSTODES) and the European Network for the Study of Adrenal Tumors (ENSAT). According to clinical and hormonal characteristics, four groups were identified: non-secreting adrenocortical adenomas (NS) (n=27), subclinical hypercortisolism (SH) (n=34), CS (n=46), and patients in whom CS has been excluded (EC) (n=42). Plasma targeted metabolomics profiling was performed using the mass spectrometry-based kit AbsoluteIDQ-p180 (BIOCRATES AG, Austria).
Results: Metabolic profile of patients with CS was characterized by reduced carnitine and acetyl-carnitine levels, with respect to EC. Polyamine levels were increased in CS patients, whereas several glucogenic amino acids were decreased, when compared to EC. Similar alterations were also identified in SH patients. Spermidine was progressively increased among NS, SH, and CS patients, and showed positive correlation with post-DST cortisol (Coefficient=0.341, P<0.001). Serotonin levels were increased in adrenal-dependent hypercortisolism (SH and CS), when compared to EC, NS, and ACTH-dependent CS. Logistic regression analysis showed that the panel of significant metabolites among groups was able to correctly classify 83.8% of the patients. Three scores were identified from logistic regression that showed good accuracy in discriminating CS vs. EC, CS vs SH, and SH vs NS (sensitivity/specificity of 87%/83%, 89%/88%, and 78%/74%, respectively).
Conclusion: Metabolomic profiling revealed the presence of several disturbances in patients with hypercortisolism, mainly involving polyamine and amino acids metabolism, and β-oxidation. Metabolomic analysis showed also good accuracy in classifying patients with hypercortisolism according to their specific metabolic profile. Further studies are currently ongoing to analyze a large cohort of matched normal control subjects.
Article tools
My recent searches
My recently viewed abstracts
Authors
Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
© Bioscientifica 2024 |
Privacy policy |
Cookie settings
BiosciAbstracts
Bioscientifica Abstracts is the gateway to a series of products that provide a permanent, citable record of abstracts for biomedical and life science conferences.
Find out more