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The effects of weight loss on erectile function and hormones have not been well studied. The aim of this study was to measure the degree to which sexual function and in particular erectile function and hormonal environment change after substantial weight loss, surgically and non-surgically induced in the morbidly obese male in a prospective randomized long-term controlled trial. Furthermore, how surgery makes a difference when treating morbidly obese men was envisaged in this context. We prospectively studied 20 morbidly obese men for 24 months, divided into two groups: group A included 10 patients who underwent life style modifications (exercise and diet) for 4 months and subsequently gastric bypass, and another 10 patients in group B were kept on weekly follow-up. None of the men were taking phosphodiesterase type-5 inhibitors. All patients underwent International Index of Erectile Function (IIEF)-5 questionnaire, serum oestradiol, prolactin (PRL), luteinizing (LH) and follicle-stimulating (FSH) hormones, free and total testosterone (FT and TT) at baseline (time 0), surgery - 4 months latter baseline (time 1) and final evaluation - 24 months (time 2). From times 0 to 1, group A presented a mean body mass index (BMI) reduction of 12.6 (p < 0.0001), whereas group B, 2.1 (p > 0.05). The BMI reductions between times 0 and 2 were 24.7 (p < 0.0001) and 0.7 (p > 0.05) for groups A and B respectively. BMI average between the two groups was similar at time 0 (p = 0.2142), and different at times 1 (p = 0.0033) and 2 (p < 0.0006). Increase in IIEF-5 score (p = 0.0469), TT (p = 0.0349) and FSH levels (p = 0.0025), and reduction in PRL level (p < 0.0001) were observed in group A from times 0 to 2 and 1 to 2. There were no changes from times 0 to 1. Comparing groups A and B at time 2, IIEF-5, TT and FT increased significantly in group A (p = 0.0224, 0.0043 and 0.0149 respectively). Surgery-induced weight loss increased erectile function quality measured by IIEF-5 questionnaire, increased TT, FT and FSH and reduced PRL levels. The hormonal impact verified could justify the improvement in erectile function. Lifestyle modifications impacted BMI without hormonal or sexual impact in morbidly obese. New studies are warranted in the field to support our data.

No abstract

BackgroundToll-like receptors (TLRs) are effector molecules expressed on the surface of ovarian cancer (OC) cells, but the functions of the TLR2/TLR4 signaling pathways in these cells remain unclear. Melatonin (mel) acts as an anti-inflammatory factor and has been reported to modulate TLRs in some aggressive tumor cell types. Therefore, we investigated OC and the effect of long-term mel therapy on the signaling pathways mediated by TLR2 and TLR4 via myeloid differentiation factor 88 (MyD88) and toll-like receptor-associated activator of interferon (TRIF) in an ethanol-preferring rat model.MethodsTo induce OC, the left ovary of animals either consuming 10% (v/v) ethanol or not was injected directly under the bursa with a single dose of 100 μg of 7,12-dimethylbenz(a)anthracene (DMBA) dissolved in 10 μL of sesame oil. The right ovaries were used as sham-surgery controls. After developing OC, half of the animals received i.p. injections of mel (200 μg/100 g b.w./day) for 60 days.ResultsAlthough mel therapy was unable to reduce TLR2 levels, it was able to suppress the OC-associated increase in the levels of the following proteins: TLR4, MyD88, nuclear factor kappa B (NFkB p65), inhibitor of NFkB alpha (IkBα), IkB kinase alpha (IKK-α), TNF receptor-associated factor 6 (TRAF6), TRIF, interferon regulatory factor 3 (IRF3), interferon β (IFN-β), tumor necrosis factor alpha (TNF-α), and interleukin (IL)-6. In addition, mel significantly attenuated the expression of IkBα, NFkB p65, TRIF and IRF-3, which are involved in TLR4-mediated signaling in OC during ethanol intake.ConclusionCollectively, our results suggest that mel attenuates the TLR4-induced MyD88- and TRIF-dependent signaling pathways in ethanol-preferring rats with OC.

COVID-19 is still placing a heavy health and financial burden worldwide. Impairment in patient screening and risk management plays a fundamental role on how governments and authorities are directing resources, planning reopening, as well as sanitary countermeasures, especially in regions where poverty is a major component in the equation. An efficient diagnostic method must be highly accurate, while having a cost-effective profile. We combined a machine learning-based algorithm with mass spectrometry to create an expeditious platform that discriminate COVID-19 in plasma samples within minutes, while also providing tools for risk assessment, to assist healthcare professionals in patient management and decision-making. A cross-sectional study enrolled 815 patients (442 COVID-19, 350 controls and 23 COVID-19 suspicious) from three Brazilian epicenters from April to July 2020. We were able to elect and identify 19 molecules related to the disease’s pathophysiology and several discriminating features to patient’s health-related outcomes. The method applied for COVID-19 diagnosis showed specificity >96% and sensitivity >83%, and specificity >80% and sensitivity >85% during risk assessment, both from blinded data. Our method introduced a new approach for COVID-19 screening, providing the indirect detection of infection through metabolites and contextualizing the findings with the disease’s pathophysiology. The pairwise analysis of biomarkers brought robustness to the model developed using machine learning algorithms, transforming this screening approach in a tool with great potential for real-world application.