Visceral adipose tissue adiponectin predicts excess weight loss after bariatric surgery in females with severe obesity.

OBJECTIVE: Bariatric surgery not always results in satisfactory excess weight loss (EWL) in severe obesity. Given the economic and clinical costs of bariatric surgery failure, defining predictors of successful EWL represents a relevant clinical issue for the health system to select patients benefiting from operation. METHODS: By ELISA and Western blot analyses, we assessed the predicting value of pre-operative adiponectin (APN) locally produced in abdominal visceral (VAT) and subcutaneous (SAT) adipose tissue versus plasma levels as a novel sex-linked biomarker of EWL at different time points of follow up (6-24 months) after bariatric surgery in 43 patients (56% females) affected by severe obesity undergoing a small pilot observational study. RESULTS: VAT-APN was lower in females and represented the only marker significantly correlated with EWL. In females, VAT-APN in the distribution upper quartile but not baseline BMI retained a statistically significant correlation with EWL at any time points (6-24 months) at multivariate analysis. The best VAT-APN cut-off value to predict 95% EWL at 12 months from surgery (98% accuracy, 100% sensitivity, 94% specificity, p = 0.010) was 5.1 µg/mg. CONCLUSIONS: In this very preliminary study, APN in VAT rather than its circulating or subcutaneous levels predicts EWL after bariatric surgery as an independent factor in the female sex only, thus contributing to identify those patients who could much benefit from surgery.

The 3D in vitro Adrenoid cell model recapitulates the complexity of the adrenal gland.

The crosstalk between the chromaffin and adrenocortical cells is essential for the endocrine activity of the adrenal glands. This interaction is also likely important for tumorigenesis and progression of adrenocortical cancer and pheochromocytoma. We developed a unique in vitro 3D model of the whole adrenal gland called Adrenoid consisting in adrenocortical carcinoma H295R and pheochromocytoma MTT cell lines. Adrenoids showed a round compact morphology with a growth rate significantly higher compared to MTT-spheroids. Confocal analysis of differential fluorescence staining of H295R and MTT cells demonstrated that H295R organized into small clusters inside Adrenoids dispersed in a core of MTT cells. Transmission electron microscopy confirmed the strict cell-cell interaction occurring between H295R and MTT cells in Adrenoids, which displayed ultrastructural features of more functional cells compared to the single cell type monolayer cultures. Adrenoid maintenance of the dual endocrine activity was demonstrated by the expression not only of cortical and chromaffin markers (steroidogenic factor 1, and chromogranin) but also by protein detection of the main enzymes involved in steroidogenesis (steroidogenic acute regulatory protein, and CYP11B1) and in catecholamine production (tyrosine hydroxylase and phenylethanolamine N-methyltransferase). Mass spectrometry detection of steroid hormones and liquid chromatography measurement of catecholamines confirmed Adrenoid functional activity. In conclusion, Adrenoids represent an innovative in vitro 3D-model that mimics the spatial and functional complexity of the adrenal gland, thus being a useful tool to investigate the crosstalk between the two endocrine components in the pathophysiology of this endocrine organ.

Intratumour microbiota modulates adrenocortical cancer responsiveness to mitotane.

The infiltrating microbiota represents a novel cellular component of the solid tumour microenvironment that can influence tumour progression and response to therapy. Adrenocortical carcinoma (ACC) is a rare and aggressive endocrine malignancy for which mitotane (MTT) treatment represents the first-line therapy, though its efficacy is limited to a therapeutic window level (14-20 mg/L). Novel markers able to predict those patients who would benefit from MTT therapy are urgently needed to improve patient's management. The aim of our study was to evaluate the presence of intratumoural bacterial microbiota DNA in 26 human ACC tissues vs 9 healthy adrenals; moreover, the association between the relative bacterial composition profile, the tumour mass characteristics and MTT ability to reach high circulating levels in the early phase of treatment, were explored. We found the presence of bacterial DNA in all adrenal samples from both tumours and healthy cortex specimens, documenting significant differences in the microbial composition between malignancy and normal adrenals: in detail, the ACC tissues were characterised by a higher abundance of the Proteobacteria phylum (especially the Pseudomonas and Serratia genera). In addition, the Proteobacteria's low abundance was negatively associated with tumour size, Ki67 and cortisol secretion. MTT levels reached higher levels at 9 months in ACC patients with high abundance of Proteobacteria, Pseudomonas and Serratia and with low abundance of Bacteroidota, Firmicutes and Streptococcus. These findings are the first indication that human ACCs are characterised by infiltrating bacteria and their specific abundance profile seems to influence the increase in circulating MTT levels at 9 months.

Prognostic Value of Microscopic Tumor Necrosis in Adrenal Cortical Carcinoma.

Adrenal cortical carcinoma (ACC) is an uncommon neoplasm with variable prognosis. Several histologic criteria have been identified as predictors of malignancy in adrenal cortical tumors. The Weiss score is the system most widely employed for diagnostic purposes, but also possesses prognostic value. We aim to determine the relative impact of each Weiss parameter on ACC patient survival. A multicenter retrospective analysis was conducted on a series of 79 conventional ACCs surgically treated at the Florence and Utrecht centers of the European Network for the Study of Adrenal Tumors (ENSAT). Weiss classification was recapitulated using principal component analysis (PCA). The Kaplan-Meier and Cox multivariate regression analyses were applied in order to estimate the prognostic power of Weiss versus other clinical parameters. PCA reduced the nine Weiss parameters to the best fitting 4-component model, each parameter clustering with a single component. Necrosis and venous invasion clustered together with the highest scores, thus establishing the most relevant component (Component 1) to explain Weiss distribution variability. Only Component 1 significantly predicted overall survival (OS, log-rank = 0.008) and disease-free survival (DFS, log-rank < 0.001). When considering the prognostic power of Weiss parameters, necrosis alone could independently assess OS (log-rank = 0.004) and DFS (log-rank < 0.001) at both the Kaplan-Meier and multivariate Cox regression analyses [hazard ratio (HR) = 7.8, 95% confidence interval [CI] = 1.0-63.5, p = 0.05, and HR = 12.2, 95% CI = 1.6-95.0, p = 0.017, respectively]. The presence of necrosis significantly shortened time to survival (TtS) and time to recurrence (TtR), 57.5 [31.5-103.5] vs 34 [12-78] months (p = 0.05) and 57.5 [31.5-103.5] vs 7 [1.0-31.5] months (p < 0.001), respectively. Our study suggests that, of the Weiss parameters, necrosis is the most powerful adverse factor and the best predictor of OS and DFS in ACC patients.