Assessing the predictive value of insulin resistance indices for metabolic syndrome risk in type 2 diabetes mellitus patients.

Limited research has explored the effectiveness of insulin resistance (IR) in forecasting metabolic syndrome (MetS) risk, especially within the Iranian population afflicted with type 2 diabetes mellitus (T2DM). The present investigation aimed to assess the efficacy of IR indices in predicting the risk of MetS among T2DM patients. Convenient sampling was utilized to select four hundred subjects with T2DM. Metabolic factors and IR indices, including the Waist Circumference-Triglyceride Index (WTI), Triglyceride and Glucose Index (TyG index), the product of TyG index and abdominal obesity indices, and the Metabolic Score for Insulin Resistance (METS-IR), were evaluated. Logistic regression, coupled with modeling, was employed to explore the risk of MetS. The predictive performance of the indices for MetS stratified by sex was evaluated via receiver operating characteristic (ROC) curve analysis and estimation of the area under the curve (AUC) values. The TyG-Waist Circumference (TyG-WC) index exhibited the largest AUCs in both males (0.91) and females (0.93), while the TyG-Body Mass Index (TyG-BMI) demonstrated the smallest AUCs (0.77 in males and 0.74 in females). All indices significantly predicted the risk of MetS in all subjects before and after adjustment (p < 0.001 for all). The TyG-WC index demonstrated the highest odds ratios for MetS (8.06, 95% CI 5.41-12.00). In conclusion, all IR indices assessed in this study effectively predicted the risk of MetS among Iranian patients with T2DM, with the TyG-WC index emerging as the most robust predictor across both genders.

Magnetic NH2-MIL-101(Al)/Chitosan nanocomposite as a novel adsorbent for the removal of azithromycin: modeling and process optimization.

In the present study, the magnetic NH2-MIL-101(Al)/chitosan nanocomposite (MIL/Cs@Fe3O4 NCs) was synthesized and used in the removal of azithromycin (AZT) from an aqueous solution for the first time. The as-synthesized MIL/Cs@Fe3O4 NCs was characterized by SEM, TEM, XRD, FTIR, BET, and VSM techniques. The effect of various key factors in the AZT adsorption process was modeled and optimized using response surface methodology based on central composite design (RSM-CCD). The low value of p-value (1.3101e-06) and RSD (1.873) parameters, along with the coefficient of determination > 0.997 implied that the developed model was well fitted with experimental data. Under the optimized conditions, including pH: 7.992, adsorbent dose: 0.279 g/L, time: 64.256 min and AZT concentration: 10.107 mg/L, removal efficiency and AZT adsorption capacity were obtained as 98.362 ± 3.24% and 238.553 mg/g, respectively. The fitting of data with the Langmuir isotherm (R2: 0.998, X2: 0.011) and Pseudo-second-order kinetics (R2: 0.999, X2: 0.013) showed that the adsorption process is monolayer and chemical in nature. ΔH° > 0, ΔS° > 0, and ∆G° < 0 indicated that AZT removal was spontaneous and endothermic in nature. The effect of Magnesium on AZT adsorption was more complicated than other background ions. Reuse of the adsorbent in 10 consecutive experiments showed that removal efficiency was reduced by about 30.24%. The performance of MIL/Cs@Fe3O4 NCs under real conditions was also tested and promising results were achieved, except in the treatment of AZT from raw wastewater.

Stem cells as an ideal carrier for gene therapy: A new approach to the treatment of hepatitis C virus.

BACKGROUND AND AIM: Various chemical drugs have been approved for the treatment of patients with hepatitis C, but most of these treatments are costly, and also have an inadequate response and many side effects. Also, there is no effective vaccine for hepatitis C due to its high genetic diversity. In recent decades, clinical trials have grown dramatically regarding the benefits of stem cell therapy as a modulator of immune system responses and anti-inflammatory drugs. The most promising point in stem cell therapy and similar therapies is that patients with chronic pain and severe injuries are offered drug-free treatment or surgery. In the present study, we examine the various dimensions of the use of stem cells with the approach of gene therapy carriers as a new treatment method in the treatment of Hepatitis C. METHODS: Search terms were including gene carrier, stem cell therapy, gene therapy, liver disorders, hepatitis C virus. At first, 1000 article titles related to the mentioned keywords for different diseases were found. After removing duplicate titles and items that did not match the scope of the research, articles that met the criteria for entering the research and had usable information were selected. All abstracts of selected articles were studied by researchers. In the initial review, articles related to the title were identified and categorized based on the type of challenge. CONCLUSION: Gene therapy, either directly and in vivo or indirectly and in vitro, requires carriers (vectors) to transfer the gene. These carriers are divided into two groups, viral and non-viral. In indirect gene therapy, living cells are isolated from a person's body and genetically modified. Stem cells have the properties to transfer the desired genes to the patient's body, including the ability to proliferate for a long time and differentiate into the tissue cells in which they are located.

Immunogenicity against hepatitis C virus with mesenchymal stem cells of inbreed BALB/c mice sub cloned with HCVcp protein gene.

BACKGROUND AND AIM: Hepatitis C is one of the leading causes of liver disease in the world and despite extensive research, there is still no vaccine against it. Researchers have identified cell-based therapies as an alternative strategy in advanced liver disorders. The aim of this study was to transfer the hepatitis C virus core protein (HCVcp) gene into mesenchymal stem cells and to evaluate its immunogenicity after injection into mice. MATERIALS AND METHODS: The present study had two experimental and animal stages. In the first step, by designing a vector containing the HCVcp gene and transferring it into the mesenchymal stem cell, gene expression and protein production by the mesenchymal stem cell manipulated by PCR and SDS-PAGE were confirmed. In the second stage, by injecting manipulated mesenchymal stem cells into mice, the level of humoral immune stimulation and splenocytes proliferation was assessed by the ELISA commercial kit. RESULTS: According to molecular studies, the expression of HCVcp was confirmed by mesenchymal stem cells. Also, splenocytes proliferation rate (0.316 ± 0.029) and antibody titer (284 ± 47) in mice treated with manipulated mesenchymal stem cells were significantly increased compared to the control group. CONCLUSION: The results of the present study showed that the use of genetically engineered mesenchymal stem cells while maintaining the immunomodulatory properties of these cells can stimulate specific immune system responses against hepatitis C central protein.

Predictive Factors for the Care and Control of Hypertension Based on the Health Belief Model Among Hypertensive Patients During the COVID-19 Epidemic in Sirjan, Iran.

BACKGROUND: Hypertension is a leading risk factor for morbidity and mortality around the world. Preventing this health problem is considered an important priority. The aim of this study was to investigate the predictive factors for care and control of hypertension (CCH) according to the health belief model (HBM), in patients with hypertension during the COVID-19 epidemic in Sirjan, Iran. METHODS: In this cross-sectional study, participants were chosen by simple random sampling. Data were collected by a valid and reliable researcher-made questionnaire from 200 patients with high blood pressure aged 30-60 years. Data were analyzed by SPSS21 and analysis based on descriptive statistics, Pearson correlation coefficients, and linear regression was conducted. RESULTS: The results of Pearson correlation coefficients showed that there was a significant correlation among almost all constructs of the Health Belief Model (HBM), but the strongest correlations were between self-efficacy and perceived susceptibility (r = 0.940, P ≤ 0.001), and between perceived barriers with perceived benefits (r = -0.615, P ≤ 0.001). According to linear regression, perceived barriers (ß = -0.291), cues to action (ß = -0.590), and knowledge (ß = 0.973) predicted more than 26% of CCH variability. Knowledge had a stronger role than other variables. CONCLUSION: The results of this study show that the constructs of the Health Belief Model can predict CCH in hypertensive patients. This model can be used as a tool for designing and implementing educational interventions to increase CCH among hypertensive patients.

SARS-CoV-2 (Covid-19) vaccines structure, mechanisms and effectiveness: A review.

The world has been suffering from COVID-19 disease for more than a year, and it still has a high mortality rate. In addition to the need to minimize transmission of the virus through non-pharmacological measures such as the use of masks and social distance, many efforts are being made to develop a variety of vaccines to prevent the disease worldwide. So far, several vaccines have reached the final stages of safety and efficacy in various phases of clinical trials, and some, such as Moderna/NIAID and BioNTech/Pfizer, have reported very high safety and protection. The important point is that comparing different vaccines is not easy because there is no set standard for measuring neutralization. In this study, we have reviewed the common platforms of COVID-19 vaccines and tried to present the latest reports on the effectiveness of these vaccines.