Dietary factors play a crucial role in the management of type 2 diabetes mellitus (T2DM) by reducing cardiovascular disease (CVD) risk. Therefore, we aimed to examine the associations between habitual green tea consumption and risk factors of CVD among T2DM patients. A total of 1013 patients with T2DM were included in a community-based cross-sectional study. Data on dietary habits, including tea consumption, were collected using a food frequency questionnaire. A multivariable logistic regression model was used to analyze the associations. In men, as compared with nongreen tea drinkers, odds ratios (ORs) (95% confidence interval [CI]) of nonalcoholic fatty liver disease (NAFLD) were 2.06 (95% CI, 1.20-3.55) for those with green tea consumption of once per day and 2.45 (95% CI, 1.31-4.58) for more than or equal to twice per day (P-trend = .004); ORs (95% CI) of general obesity were 2.19 (95% CI, 1.02-4.68) and 2.70 (95% CI, 1.18-6.21), respectively (P-trend = .021); whereas no such association was found in women. Sensitivity analysis according to self-awareness of their T2DM status revealed that the positive association between green tea consumption and general obesity was not reliable. Higher intake of green tea was still positively associated with NAFLD, but it only persisted in participants aged ≥52 years or the lower dietary quality subgroup in further analyses. Our findings suggest that tea consumption was associated with an increased risk of NAFLD among male T2DM patients aged 52 years or older, and those with lower dietary quality, which needs to be confirmed in future prospective studies.Conformational plasticity of the functionally important regions and binding sites in protein/enzyme structures is one of the key factors affecting their function and interaction with substrates/ligands. Molecular dynamics (MD) can address the challenge of accounting for protein flexibility by predicting the time-dependent behavior of a molecular system. It has a potential of becoming a particularly important tool in protein engineering and drug discovery, but requires specialized training and skills, what impedes practical use by many investigators. We have developed the easyAmber - a comprehensive set of programs to automate the molecular dynamics routines implemented in the Amber package. The toolbox can address a wide set of tasks in computational biology struggling to account for protein flexibility. The automated workflow includes a complete set of steps from the initial "static" molecular model to the MD "production run" the full-atom model building, optimization/equilibration of the molecular system, classical/conventional and accelerated molecular dynamics simulations. The easyAmber implements advanced MD protocols, but is highly automated and easy-to-operate to attract a broad audience. The toolbox can be used on a personal desktop station equipped with a compatible gaming GPU-accelerator, as well as help to manage huge workloads on a powerful supercomputer. The software provides an opportunity to operate multiple simulations of different proteins at the same time, thus significantly increasing work efficiency. The easyAmber takes the molecular dynamics to the next level in terms of usability for complex processing of large volumes of data, thus supporting the recent trend away from inefficient "static" approaches in biology toward a deeper understanding of the dynamics in protein structures. The software is freely available for download at https//biokinet.belozersky.msu.ru/easyAmber, no login required.Background The purpose of this study was to investigate the effect of oral nutritional supplements (ONS) on patients with esophageal cancer during radiotherapy. Materials and Methods Patients with esophageal cancer undergoing radiotherapy were randomly divided into nutritional intervention (NI) and routine treatment (RT) groups. All patients received one-on-one nutritional counseling and dietary advice, and patients in the NI group received ONS. Body mass index (BMI), a patient-generated subjective global assessment (PG-SGA), serum albumin (ALB), hemoglobin (Hb), white blood cell (WBC) count, prealbumin (PA), and platelets (PLTs) were recorded before and after radiotherapy in both the NI group and the RT group. Further, the adverse reactions during the treatment were evaluated. Results In the NI group, the BMI after radiotherapy was significantly higher than that before radiotherapy, and the PG-SGA score after radiotherapy was significantly lower than that before radiotherapy (p  0.05); whereas the levels of WBC and PLTs in the NI group were lower than those in the RT group (p  less then  0.05). During the treatment, the toxic reactions of radiation esophagitis, myelosuppression, nausea, and vomiting were decreased in the NI group compared with the RT group. Conclusions ONS can reduce weight loss and improve the nutritional status of patients with esophageal cancer during radiotherapy.The emergence of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) threatens the health of the global population and challenges our preparedness for pandemic threats. Previous outbreaks of coronaviruses and other viruses have suggested the importance of diagnostic technologies in fighting viral outbreaks. Nucleic acid detection techniques are the gold standard for detecting SARS-CoV-2. Viral antigen tests and serological tests that detect host antibodies have also been developed for studying the epidemiology of COVID-19 and estimating the population that may have immunity to SARS-CoV-2. Gemcitabine molecular weight Nevertheless, the availability, cost, and performance of existing viral diagnostic technologies limit their practicality, and novel approaches are required for improving our readiness for global pandemics. Here, we review the principles and limitations of major viral diagnostic technologies and highlight recent advances of molecular assays for COVID-19. In addition, we discuss emerging technologies, such as clustered regularly interspaced short palindromic repeats (CRISPR) systems, high-throughput sequencing, and single-cell and single-molecule analysis, for improving our ability to understand, trace, and contain viral outbreaks. The prospects of viral diagnostic technologies for combating future pandemic threats are presented.