Arteria

Abstract Background: Testosterone deficiency (TD) is a prevalent condition in our midst and still very neglected. Arterial hypertension (AH) is one of the possible associated factors. Objectives: To determine the prevalence of TD in a hypertensive male population and the factors associated with its occurrence, such as age, time since hypertension diagnosis, number of antihypertensive classes, body mass index (BMI), diabetes, dyslipidemia, chronic kidney disease (CKD), positive symptoms of TD (positive ADAM questionnaire) and use of spironolactone. Methods: Cross-sectional study with administration of the ADAM questionnaire, assessment of biochemical, clinical, and anthropometric data. Patients were stratified into DT and normal testosterone groups. Categorical variables were compared using the chi-squared test and continuous variables using the Mann-Witney test; variables with significance (p<0,05) were analyzed by multivariable linear regression. Results: The prevalence of TD was 26.36%. There was an association between TD and body mass index (BMI) (p=0.0007) but there was no association with age (p=0.0520), time of hypertension diagnosis (p=0.1418), number of classes of antihypertensive drugs (p=0.732), diabetes (p=0.1112); dyslipidemia (p=0.3888); CKD (p=0.3321); use of spironolactone (p=0.3546) or positive ADAM questionnaire (p=0.2483). Conclusions: TD was highly prevalent and positively associated with BMI. Total testosterone (TT) declined by 8.44ng/dL with a one unit increase in BMI and dropped by 3.79ng/dL with a one-year increase in age.

Testosterone deficiency (TD) is a prevalent condition in our midst and still very neglected. Arterial hypertension (AH) is one of the possible associated factors. To determine the prevalence of TD in a hypertensive male population and the factors associated with its occurrence, such as age, time since hypertension diagnosis, number of antihypertensive classes, body mass index (BMI), diabetes, dyslipidemia, chronic kidney disease (CKD), positive symptoms of TD (positive ADAM questionnaire) and use of spironolactone. Cross-sectional study with administration of the ADAM questionnaire, assessment of biochemical, clinical, and anthropometric data. Patients were stratified into DT and normal testosterone groups. Categorical variables were compared using the chi-squared test and continuous variables using the Mann-Witney test; variables with significance (p<0,05) were analyzed by multivariable linear regression. The prevalence of TD was 26.36%. There was an association between TD and body mass index (BMI) (p=0.0007) but there was no association with age (p=0.0520), time of hypertension diagnosis (p=0.1418), number of classes of antihypertensive drugs (p=0.732), diabetes (p=0.1112); dyslipidemia (p=0.3888); CKD (p=0.3321); use of spironolactone (p=0.3546) or positive ADAM questionnaire (p=0.2483). TD was highly prevalent and positively associated with BMI. Total testosterone (TT) declined by 8.44ng/dL with a one unit increase in BMI and dropped by 3.79ng/dL with a one-year increase in age.

BackgroundAndrogen deprivation therapy (ADT) with radiotherapy can benefit patients with localized prostate cancer. However, ADT can negatively impact quality of life and there remain no validated predictive models to guide its use.MethodsDigital pathology image and clinical data from pre-treatment prostate tissue from 5,727 patients enrolled on five phase III randomized trials treated with radiotherapy +/− ADT were used to develop and validate an artificial intelligence (AI)-derived predictive model to assess ADT benefit with the primary endpoint of distant metastasis. After the model was locked, validation was performed on NRG/RTOG 9408 (n = 1,594) that randomized men to radiotherapy +/− 4 months of ADT. Fine-Gray regression and restricted mean survival times were used to assess the interaction between treatment and predictive model and within predictive model positive and negative subgroup treatment effects.ResultsIn the NRG/RTOG 9408 validation cohort (14.9 years of median follow-up), ADT significantly improved time to distant metastasis (subdistribution hazard ratio [sHR] = 0.64, 95%CI [0.45–0.90], p = 0.01). The predictive model-treatment interaction was significant (p-interaction = 0.01). In predictive model positive patients (n = 543, 34%), ADT significantly reduced the risk of distant metastasis compared to radiotherapy alone (sHR = 0.34, 95%CI [0.19–0.63], p < 0.001). There were no significant differences between treatment arms in the predictive model negative subgroup (n = 1,051, 66%; sHR = 0.92, 95%CI [0.59–1.43], p = 0.71).ConclusionsOur data, derived and validated from completed randomized phase III trials, show that an AI-based predictive model was able to identify prostate cancer patients, with predominately intermediate-risk disease, who are likely to benefit from short-term ADT.

CD36 is recognized as a lipid and fatty acid receptor and plays an important role in the metabolic syndrome and associated cardiac events. The pleiotropic activity and the multiple molecular associations of this scavenger receptor with membrane associated molecules in different cells and tissues have however questioned its potential as a therapeutic target. The present study shows that it is possible to identify low molecular weight chemicals that can block the CD36 binding and uptake functions. These inhibitors were able to reduce arterial lipid deposition, fatty acid intestinal transit, plasma concentration of triglycerides and glucose, to improve insulin sensitivity, glucose tolerance and to reduce the plasma concentration of HbAc1 in different and independent rodent models. Correlation between the anti-CD36 activity of these inhibitors and the known pathophysiological activity of this scavenger receptor in the development of atherosclerosis and diabetes were observed at pharmacological doses. Thus, CD36 might represent an attractive therapeutic target.