Cold atmospheric plasma (CAP) is known as the versatile tool in different biological, and medical applications. In this study, we investigated the effect of cold plasma on diabetes via in vitro and in vivo assessments. We performed the in vitro assay to evaluate the impact of CAP on glycated glutathione peroxidase (GPx) through enzyme activity measurement as a function index and far- and near-UV circular dichroism (CD) and fluorescence analysis as structure indices. The result of in vitro assessment showed that the exposure of glycated GPx to plasma causes a considerable increase in enzyme activity up to 30%. Also, the evaluation of far- and near-UV CD and fluorescence analysis indicated a modification in the protein structure. According to obtained result from in vitro assessment, in vivo assay evaluated the effect of CAP on diabetic mice through analyzing of blood glucose level (BGL), advanced glycation end products (AGEs), antioxidant activity, oxidative stress biomarkers such as malondialdehyde (MDA), advanced oxidation protein products (AOPP), and oxidized low-density lipoprotein (oxLDL), and inflammation factors including tumor necrosis factor (TNF-α), interleukin-1 (IL-1), and interleukin-6 (IL-6). The result of in vivo experiment also showed a 20% increase in antioxidant activity. Also, the reduction in AGEs, oxidative stress biomarkers, and inflammatory cytokines concentrations was observed. The result of this study revealed that CAP could be useful in diabetes treatment and can be utilized as a complementary method for diabetes therapy.

Background Hepatocellular carcinoma (HCC) is the sixth most common form of cancer worldwide. Although surgical treatments have an acceptable cure rate, tumor recurrence is still a challenging issue. In this meta-analysis, we investigated whether statins prevent HCC recurrence following liver surgery. Methods PubMed, Web of Science, EMBASE and Cochrane Central were searched. The Outcome of interest was the HCC recurrence after hepatic surgery. Pooled estimates were represented as hazard ratios (HRs) and odds ratios (ORs) using a random-effects model. Summary effect measures are presented together with their corresponding 95% confidence intervals (CI). The certainty of evidence was evaluated using the Grades of Research, Assessment, Development and Evaluation (GRADE) approach. Results The literature search retrieved 1362 studies excluding duplicates. Nine retrospective studies including 44,219 patients (2243 in the statin group and 41,976 in the non-statin group) were included in the qualitative analysis. Patients who received statins had a lower rate of recurrence after liver surgery (HR: 0.53; 95% CI: 0.44–0.63; p < 0.001). Moreover, Statins decreased the recurrence 1 year after surgery (OR: 0.27; 95% CI: 0.16–0.47; P < 0.001), 3 years after surgery (OR: 0.22; 95% CI: 0.15–0.33; P < 0.001), and 5 years after surgery (OR: 0.28; 95% CI: 0.19–0.42; P < 0.001). The certainty of evidence for the outcomes was moderate. Conclusion Statins increase the disease-free survival of patients with HCC after liver surgery. These drugs seem to have chemoprevention effects that decrease the probability of HCC recurrence after liver transplantation or liver resection.

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Background: Decision-making on allocating scarce medical resources is crucial in the context of a strong health system reaction to the coronavirus disease 2019 (COVID-19) pandemic. Therefore, understanding the risk factors related to a high mortality rate can enable the physicians for a better decision-making process. Methods: Information was collected regarding clinical, demographic, and epidemiological features of the definite COVID-19 cases. Through Cox regression and statistical analysis, the risk factors related to mortality were determined. The Kaplan-Meier curve was used to estimate survival function and measure the mean length of living time in the patients. Results: Among about 3000 patients admitted in the Taleghani hospital as outpatients with suspicious signs and symptoms of COVID-19 in 2 months, 214 people were confirmed positive for this virus using the polymerase chain reaction (PCR) technique. Median time to death was 30 days. In this population, 24.29% of the patients died and 24.76% of them were admitted to the ICU (intensive care unit) during hospitalization. The results of Multivariate Cox regression Analysis showed that factors including age (HR, 1.031; 95% CI, 1.001-1.062; P value = 0.04), and C-reactive protein (CRP) (HR, 1.007; 95% CI, 1.000-1.015; P value = 0.04) could independently predict mortality. Furthermore, the results showed that age above 59 years directly increased mortality rate and decreased survival among our study population. Conclusion:Predictor factors play an important role in decisions on public health policy-making. Our findings suggested that advanced age and CRP were independent mortality rate predictors in the admitted patients.