@article{VetrivelZhangEngeletal.2022, author = {Vetrivel, Sharmilee and Zhang, Ru and Engel, Mareen and Oßwald, Andrea and Watts, Deepika and Chen, Alon and Wielockx, Ben and Sbiera, Silviu and Reincke, Martin and Riester, Anna}, title = {Characterization of adrenal miRNA-based dysregulations in Cushing's syndrome}, series = {International Journal of Molecular Sciences}, volume = {23}, journal = {International Journal of Molecular Sciences}, number = {14}, issn = {1422-0067}, doi = {10.3390/ijms23147676}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-284394}, year = {2022}, abstract = {MiRNAs are important epigenetic players with tissue- and disease-specific effects. In this study, our aim was to investigate the putative differential expression of miRNAs in adrenal tissues from different forms of Cushing's syndrome (CS). For this, miRNA-based next-generation sequencing was performed in adrenal tissues taken from patients with ACTH-independent cortisol-producing adrenocortical adenomas (CPA), from patients with ACTH-dependent pituitary Cushing's disease (CD) after bilateral adrenalectomy, and from control subjects. A confirmatory QPCR was also performed in adrenals from patients with other CS subtypes, such as primary bilateral macronodular hyperplasia and ectopic CS. Sequencing revealed significant differences in the miRNA profiles of CD and CPA. QPCR revealed the upregulated expression of miR-1247-5p in CPA and PBMAH (log2 fold change > 2.5, p < 0.05). MiR-379-5p was found to be upregulated in PBMAH and CD (log2 fold change > 1.8, p < 0.05). Analyses of miR-1247-5p and miR-379-5p expression in the adrenals of mice which had been exposed to short-term ACTH stimulation showed no influence on the adrenal miRNA expression profiles. For miRNA-specific target prediction, RNA-seq data from the adrenals of CPA, PBMAH, and control samples were analyzed with different bioinformatic platforms. The analyses revealed that both miR-1247-5p and miR-379-5p target specific genes in the WNT signaling pathway. In conclusion, this study identified distinct adrenal miRNAs as being associated with CS subtypes.}, language = {en} } @article{ReelReelErlicetal.2022, author = {Reel, Smarti and Reel, Parminder S. and Erlic, Zoran and Amar, Laurence and Pecori, Alessio and Larsen, Casper K. and Tetti, Martina and Pamporaki, Christina and Prehn, Cornelia and Adamski, Jerzy and Prejbisz, Aleksander and Ceccato, Filippo and Scaroni, Carla and Kroiss, Matthias and Dennedy, Michael C. and Deinum, Jaap and Eisenhofer, Graeme and Langton, Katharina and Mulatero, Paolo and Reincke, Martin and Rossi, Gian Paolo and Lenzini, Livia and Davies, Eleanor and Gimenez-Roqueplo, Anne-Paule and Assi{\´e}, Guillaume and Blanchard, Anne and Zennaro, Maria-Christina and Beuschlein, Felix and Jefferson, Emily R.}, title = {Predicting hypertension subtypes with machine learning using targeted metabolites and their ratios}, series = {Metabolites}, volume = {12}, journal = {Metabolites}, number = {8}, issn = {2218-1989}, doi = {10.3390/metabo12080755}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-286161}, year = {2022}, abstract = {Hypertension is a major global health problem with high prevalence and complex associated health risks. Primary hypertension (PHT) is most common and the reasons behind primary hypertension are largely unknown. Endocrine hypertension (EHT) is another complex form of hypertension with an estimated prevalence varying from 3 to 20\% depending on the population studied. It occurs due to underlying conditions associated with hormonal excess mainly related to adrenal tumours and sub-categorised: primary aldosteronism (PA), Cushing's syndrome (CS), pheochromocytoma or functional paraganglioma (PPGL). Endocrine hypertension is often misdiagnosed as primary hypertension, causing delays in treatment for the underlying condition, reduced quality of life, and costly antihypertensive treatment that is often ineffective. This study systematically used targeted metabolomics and high-throughput machine learning methods to predict the key biomarkers in classifying and distinguishing the various subtypes of endocrine and primary hypertension. The trained models successfully classified CS from PHT and EHT from PHT with 92\% specificity on the test set. The most prominent targeted metabolites and metabolite ratios for hypertension identification for different disease comparisons were C18:1, C18:2, and Orn/Arg. Sex was identified as an important feature in CS vs. PHT classification.}, language = {en} } @article{DetomasRitzelNasiKordhishtietal.2022, author = {Detomas, Mario and Ritzel, Katrin and Nasi-Kordhishti, Isabella and Wolfsberger, Stefan and Quinkler, Marcus and Losa, Marco and Tr{\"o}ger, Viola and Kroiss, Matthias and Fassnacht, Martin and Vila, Greisa and Honegger, J{\"u}rgen Bernd and Reincke, Martin and Deutschbein, Timo}, title = {Outcome of CRH stimulation test and overnight 8 mg dexamethasone suppression test in 469 patients with ACTH-dependent Cushing's syndrome}, series = {Frontiers in Endocrinology}, volume = {13}, journal = {Frontiers in Endocrinology}, issn = {1664-2392}, doi = {10.3389/fendo.2022.955945}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-289450}, year = {2022}, abstract = {Objective To evaluate diagnostic accuracy of the corticotropin-releasing hormone (CRH) stimulation test and the overnight 8 mg dexamethasone suppression test (DST) for the differentiation of Cushing's disease (CD) and ectopic Cushing's syndrome (ECS). Methods Retrospective study in 6 European centers. Inclusion criteria: patients with a) overt adrenocorticotropin (ACTH)-dependent Cushing's syndrome at the time of dynamic testing, b) histopathological confirmed tumors and/or c) postoperative biochemical remission and/or adrenal insufficiency. Optimal cut-offs were calculated via receiver operating characteristic (ROC) analysis using CD as reference. Results 469 patients were analyzed [78\% females; median age 43 years (IQR 19)]. CRH test and overnight 8 mg DST were performed in 420 [CD, n=394 (94\%); ECS, n=26 (6\%)] and 237 patients [228 CD (96\%), 9 ECS (4\%)]. Both tests were performed in 205 patients (44\%). The post-CRH \%-increase at 30 minutes of both ACTH (cut-off ≥31\%, sensitivity 83\%, specificity 85\%, AUC 0.81) and cortisol (cut-off ≥12\%, sensitivity 82\%, specificity 89\%, AUC 0.86) discriminated best between CD and ECS. A test duration of >60 minutes did not improve diagnostic performance of the CRH test. The optimal cortisol cut-off for the \%-suppression during the 8 mg DST was ≥55\% (sensitivity 80\%, specificity 78\%, AUC 0.75). Conclusion The CRH test has equivalent sensitivity but higher specificity than the 8 mg DST and is therefore the test of first choice. The diagnostic outcome of ACTH and cortisol is well comparable, however, sampling beyond 60 minutes post-CRH does not provide diagnostic benefits.}, language = {en} } @article{BliziotisKluijtmansSotoetal.2022, author = {Bliziotis, Nikolaos G. and Kluijtmans, Leo A. J. and Soto, Sebastian and Tinnevelt, Gerjen H. and Langton, Katharina and Robledo, Mercedes and Pamporaki, Christina and Engelke, Udo F. H. and Erlic, Zoran and Engel, Jasper and Deutschbein, Timo and N{\"o}lting, Svenja and Prejbisz, Aleksander and Richter, Susan and Prehn, Cornelia and Adamski, Jerzy and Januszewicz, Andrzej and Reincke, Martin and Fassnacht, Martin and Eisenhofer, Graeme and Beuschlein, Felix and Kroiss, Matthias and Wevers, Ron A. and Jansen, Jeroen J. and Deinum, Jaap and Timmers, Henri J. L. M.}, title = {Pre- versus post-operative untargeted plasma nuclear magnetic resonance spectroscopy metabolomics of pheochromocytoma and paraganglioma}, series = {Endocrine}, volume = {75}, journal = {Endocrine}, number = {1}, doi = {10.1007/s12020-021-02858-z}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-326574}, pages = {254-265}, year = {2022}, 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.}, language = {en} }