The aim of the study was to identify the existence of clusters in multiple lifestyle behaviors, including consumption of fruits/vegetables, sugary products/soft drinks, physical activity and sedentary behavior. The association between identified clusters and excess body weight in a sample of adolescents from Dourados, Brazil, was examined. This is a cross-sectional school-based study involving 578 participants aged 12–18 of both sexes. Anthropometric measurements were performed and a questionnaire was applied with structured questions to collect data. Excess body weight was identified through body mass index. Cluster analysis was performed to identify sex-specific clusters of multiple lifestyle behaviors. Analysis of covariance and logistic regression were used to analyze associations between clusters and excess body weight. Six clusters were identified in both sexes. Girls and boys in the cluster characterized by greater time spent in sedentary behavior were 53% (OR = 1.53 [1.06–2.26]) and 63% (OR = 1.63 [1.12–2.35]) more likely to present excess body weight compared to their peers in the reference cluster. In the case of adolescents in the cluster characterized by high consumption of sugary products/soft drinks, girls were 47% more likely to be overweight (OR = 1.47 [1.05–2.13]) and boys were 51% more likely (OR = 1.51 [1.05–2.16]). High consumption of fruits/vegetables, low consumption of sugary products/soft drinks and less sedentary behavior was considered the most effective combination for the maintenance of a healthy weight.

The aim of this study was to evaluate the possibility of identifying the sentinel lymph node and involvement of neoplastic cells in patients with endometrial carcinoma limited to the uterus, and also its correlation with the conditions of other pelvic and para-aortic lymph nodes. Forty patients with endometrial carcinoma, clinical staging I and II, were submitted to complete surgical staging through laparotomy, as recommended by FIGO in 1988. The sentinel node was investigated using patent blue dye in the myometrial subserosa. The sentinel node was excised and submitted to frozen section examination of specimen, stained with hematoxylin and eosin (H&E). Afterward, selective bilateral para-aortic and pelvic lymphadenectomy, total hysterectomy with bilateral salpingo-oophorectomy were performed. The lymph nodes excised were examined by means of paraffin-embedded slices stained with H&E and of imunohistochemistry with antikeratin antibody AE1/AE3. The sentinel lymph node was identified in 77.5% of patients (31/40), and 16.1% (5/31) presented neoplastic involvement in the node. In 25 cases of negative sentinel node, 96% (24/25) had no neoplastic involvement, and 4% (1/25) had other lymph node affected (false negative). In nine cases with no sentinel node identified, 55.5% (5/9) had lymph node involvement. The results of this study allow us to conclude that it is possible to identify the sentinel node using the methods described, and the pathologic examination significantly represents the same conditions of other pelvic and para-aortic lymph nodes.

Whey protein (WP) is a dairy food supplement and, due to its effects on fat-free mass (FFM) gain and fat mass (FM) loss, it has been widely consumed by resistance training practitioners. This review analyzed the impact of WP supplementation in its concentrated (WPC), hydrolyzed (WPH) and isolated (WPI) forms, comparing it exclusively to isocaloric placebos. Random effect meta-analyses were performed from the final and initial body composition values of 246 healthy athletes undergoing 64.5 ± 15.3 days of training in eight randomized clinical trials (RCT) collected systematically from five scientific databases. The weighted mean difference (WMD) was statistically significant for FM loss (WMD = −0.96, 95% CI = −1.37, −0.55, p < 0.001) and, in the analysis of subgroups, this effect was maintained for the WPC (WMD = −0.63, 95% CI = −1.19, −0.06, p = 0.030), with protein content between 51% and 80% (WMD = −1.53; 95% CI = −2.13, −0.93, p < 0.001), and only for regular physical activity practitioners (WMD = −0.95; 95% CI = −1.70, −0.19, p = 0.014). There was no significant effect on FFM in any of the scenarios investigated (p > 0.05). Due to several and important limitations, more detailed analyses are required regarding FFM gain.

The progesterone receptor gene (PROGINS) has been identified as a risk modifier for benign and malignant gynecological diseases. The present case-control study is to evaluate the role of the PROGINS polymorphisms, as risk factor, for endometrial cancer development and to investigate the association between these genetics variants and clinical/pathologic variables of endometrial cancer. PROGINS polymorphism was examined in a total of 121 patients with endometrial cancer and 282 population-based control subjects, all located at the same area in São Paulo, SP, Brazil. The genotyping of PROGINS polymorphism was determined by polymerase chain reaction. The frequencies of PROGINS polymorphism T1/T1, T1/T2, and T2/T2 were 82.6%, 14.9%, and 2.5% in the endometrial cancer patients and 78.4%, 21.6%, and 0% in the controls, respectively. The chi(2) test showed a higher incidence of the T2/T2 genotype in the endometrial cancer group subjects, these results were statistically different (P= 0.012). However, due to the fact that there were no women in the control group showing homozygosis for the allele T2, the correct evaluation of odds ratio could not be properly calculated. Regarding the clinical and pathologic findings observed within the group of patients with endometrial cancer, there was significant correlation between T1/T2 genotype and the presence of myoma (P= 0.048). No correlations were observed among the other variables. These data suggest that the PROGINS polymorphism T2/T2 genotype might be associated with an increased risk of endometrial cancer.

On March 11, 2020, the World Health Organization (WHO) officially declared the outbreak caused by the new coronavirus (SARS-CoV-2) a pandemic. The rapid spread of the disease surprised the scientific and medical community. Based on the latest reports, news, and scientific articles published, there is no doubt that the coronavirus has overloaded health systems globally. Practical actions against the recent emergence and rapid expansion of the SARS-CoV-2 require the development and use of tools for discovering new molecular anti-SARS-CoV-2 targets. Thus, this review presents bioinformatics and molecular modeling strategies that aim to assist in the discovery of potential anti-SARS-CoV-2 agents. Besides, we reviewed the relationship between SARS-CoV-2 and innate immunity, since understanding the structures involved in this infection can contribute to the development of new therapeutic targets. Bioinformatics is a technology that assists researchers in coping with diseases by investigating genetic sequencing and seeking structural models of potential molecular targets present in SARS-CoV2. The details provided in this review provide future points of consideration in the field of virology and medical sciences that will contribute to clarifying potential therapeutic targets for anti-SARS-CoV-2 and for understanding the molecular mechanisms responsible for the pathogenesis and virulence of SARS-CoV-2.