Effects of metformin, letrozole and atorvastatin on inflammation and apoptosis in experimental peritoneal and ovarian endometriosis in the rat

Endometriosis is a common gynecological hurting disorder in which tissue is similar to the tissue that normally lines the inner layer of the uterus. It often causes fertility problems. Unfortunately, effective treatments are limited. Therefore it's important to explore an imperative and easily accessible treatment to alleviate the probable pathologies and preserve fertility in endometriosis. Consequently, we aimed to investigate the effects of metformin, letrozole, and atorvastatin on inflammation and apoptosis in experimentally induced ovarian and peritoneal endometriosis in rat models. In the present study, 35 rats were randomly divided into five groups. Group 1: sham-operated control group. Group 2: untreated endometriosis group. Group 3: given 100 mg/kg/day of oral metformin. Group 4: given 0.1 mg/kg/day of oral letrozole. Group 5: given 2.5 mg/kg/day of oral atorvastatin. At the end of the 28 days, we examined Ki67, Bax and Bcl-2 immunoexpressions in ovarian and peritoneal tissues, and IL-6, IL-8, and TNF-alpha levels were evaluated from the peritoneal fluid. All medical treatment groups showed a significant decrease in Ki67 expression. A significant increase in Bax expression was also observed in all samples from all medical treatment groups (other than the untreated endometriosis groups). Further, a significant decrease in Bcl-2 expression was found in all medical treatment groups. IL-6, IL-8, and TNF alpha levels were significantly lower in all medical treatment groups than in the endometriosis groups. In conclusion; Metformin, letrozole, and atorvastatin showed apoptosis induction and anti-inflammatory effects on both ovarian and peritoneal endometriosis in experimental models.Scientific Research Projects Grants Unit, University of Health Sciences, Istanbul, Turkey [2017/050]This study was supported by the Scientific Research Projects Grants Unit, University of Health Sciences, Istanbul, Turkey [Grant Number: 2017/050]

A retrospective comparison of allogeneic peripheral blood stem cell and bone marrow transplantation results from a single center: A focus on the incidence of graft-vs.-host disease and relapse

To detect the effect of the stem cell source, allogeneic peripheral blood stem cell transplantations (alloPBSCTs) performed between 1995 and 1997 from human leukocyte antigen (HLA)-identical siblings in 40 patients with acute and chronic hematological disorders were compared with a historical group of 40 patients with similar variables who had received allogeneic bone marrow transplants (alloBMTs) between 1993 and 1995. Patients in both groups were identical except that both the recipient and the donor ages were, on average, higher in the alloPBSCT group (26 vs. 36 [p = 0.005] and 27 vs. 32 [p = 0.024], respectively). Patients received similar therapy excluding posttransplant granulocyte colony-stimulating factor administration (97% in alloBMT vs. 12.5% in alloPBSCT). The median time to reach neutrophil counts >0.5×109/L and platelet counts >20×109/L was 13 and 14 days, respectively, in patients receiving alloPBSCTs compared with 19 and 27 days in patients receiving alloBMTs (p = 0.0014 and p = 0.0002). The alloPBSCT group required similar transfusions of red blood cells or platelets. The incidence of grade II-IV acute graft-vs.-host disease (aGVHD) was similar in both groups. However, chronic GVHD (cGVHD) of all grades developed in 78.1% of patients in the alloPBSCT group after a median follow-up period of 12.5 (range 0.5-34) months. In alloBMT recipients, cGVHD of all grades developed in 21.4% after a median follow-up period of 38 (range 0.5-62) months (p = 0.00001). Day 100 transplant-related mortality was also similar: 20% (8 of 40) in the alloBMT patients and 17.5% (7 of 40) in the alloPBSCT group. Although not statistically significant, a relatively higher relapse rate occurred in the alloBMT group (21.4 vs. 10.7%). The estimated disease-free survival in month 24 was 51.3% for alloBMT and 54.6% for alloPBSCT, and the estimated overall survival in month 24 was 56.1% for alloBMT and 64.6% for alloPBSCT. In conclusion, this retrospective comparison suggests that alloPBSCT from HLA-identical donors is associated with faster engraftment, fewer transfusions, and no greater incidence of aGVHD, but a high incidence of cGVHD

Association of BMI, lipid-lowering medication, and age with prevalence of type 2 diabetes in adults with heterozygous familial hypercholesterolaemia: a worldwide cross-sectional study

Background: Statins are the cornerstone treatment for patients with heterozygous familial hypercholesterolaemia but research suggests it could increase the risk of type 2 diabetes in the general population. A low prevalence of type 2 diabetes was reported in some familial hypercholesterolaemia cohorts, raising the question of whether these patients are protected against type 2 diabetes. Obesity is a well known risk factor for the development of type 2 diabetes. We aimed to investigate the associations of known key determinants of type 2 diabetes with its prevalence in people with heterozygous familial hypercholesterolaemia. Methods: This worldwide cross-sectional study used individual-level data from the EAS FHSC registry and included adults older than 18 years with a clinical or genetic diagnosis of heterozygous familial hypercholesterolaemia who had data available on age, BMI, and diabetes status. Those with known or suspected homozygous familial hypercholesterolaemia and type 1 diabetes were excluded. The main outcome was prevalence of type 2 diabetes overall and by WHO region, and in relation to obesity (BMI ≥30·0 kg/m2) and lipid-lowering medication as predictors. The study population was divided into 12 risk categories based on age (tertiles), obesity, and receiving statins, and the risk of type 2 diabetes was investigated using logistic regression. Findings: Among 46 683 adults with individual-level data in the FHSC registry, 24 784 with heterozygous familial hypercholesterolaemia were included in the analysis from 44 countries. 19 818 (80%) had a genetically confirmed diagnosis of heterozygous familial hypercholesterolaemia. Type 2 diabetes prevalence in the total population was 5·7% (1415 of 24 784), with 4·1% (817 of 19 818) in the genetically diagnosed cohort. Higher prevalence of type 2 diabetes was observed in the Eastern Mediterranean (58 [29·9%] of 194), South-East Asia and Western Pacific (214 [12·0%] of 1785), and the Americas (166 [8·5%] of 1955) than in Europe (excluding the Netherlands; 527 [8·0%] of 6579). Advancing age, a higher BMI category (obesity and overweight), and use of lipid-lowering medication were associated with a higher risk of type 2 diabetes, independent of sex and LDL cholesterol. Among the 12 risk categories, the probability of developing type 2 diabetes was higher in people in the highest risk category (aged 55–98 years, with obesity, and receiving statins; OR 74·42 [95% CI 47·04–117·73]) than in those in the lowest risk category (aged 18–38 years, without obesity, and not receiving statins). Those who did not have obesity, even if they were in the upper age tertile and receiving statins, had lower risk of type 2 diabetes (OR 24·42 [15·57–38·31]). The corresponding results in the genetically diagnosed cohort were OR 65·04 (40·67–104·02) for those with obesity in the highest risk category and OR 20·07 (12·73–31·65) for those without obesity. Interpretation: Adults with heterozygous familial hypercholesterolaemia in most WHO regions have a higher type 2 diabetes prevalence than in Europe. Obesity markedly increases the risk of diabetes associated with age and use of statins in these patients. Our results suggest that heterozygous familial hypercholesterolaemia does not protect against type 2 diabetes, hence managing obesity is essential to reduce type 2 diabetes in this patient population. Funding: Pfizer, Amgen, MSD, Sanofi-Aventis, Daiichi-Sankyo, and Regeneron

Computational Methods for the Calculation of Electrochemical Properties and pKa Predictions

Computational methods provide important insights in structural features and properties of many systems, which in turn, reduce the cost of drug discovery. Accurate calculations of electrochemical properties and pKa predictions are crucial for understanding and modeling of many chemical reactions and biological processes. This dissertation will present two different classes of computational methods for the calculation of electrochemical properties and pKa values in two different systems. In the first part, we demonstrate the pKa calculations of histidine residues in proteins by Free Energy Perturbation (FEP) and evaluate several protein pKa prediction methods. In the second part, we demonstrate the Density Functional Theory d-block localized orbital correction (DFT-DBLOC) methodology in calculating of redox potentials and spin state splittings for octahedral transition metal containing species. Ionizable side chains in proteins are involved in catalysis and play a key role in the pH-dependence of a variety of biological reactions. The ability to understand and model these effects requires an accurate pKa prediction of ionizable residues. The correct assignment of protonation state at a given pH helps to determine properties including protein solubility, protein folding, catalytic activity and protein–ligand binding affinities. Several computational methods have been developed to predict the residue pKa based on protein structure. Although some methods produced accurate predictions within 1 pKa unit RMS error, the RMSE over a large data set is not necessarily a good predictor of accuracy for specific types of protein environments. Most datasets studied in the pKa predictions contain highly solvent exposed residues which exhibit minimal perturbations from the intrinsic pKa values in solution. As the fraction of exposure to the solvent of the residue decreases, the predictive power of methods diminishes. However, these buried residues are often the most important residues from the standpoint of binding, catalytic activity, and other biologically important functions. We have applied Free Energy Perturbation (FEP) method to predict a large dataset of experimentally measured pKa values of histidines in proteins and compare the results to experimental data. Histidines are particularly crucial because the imidazole side chain of histidine can serve as both acids and bases near physiological pH values and as both hydrogen bond donors and acceptors. We explain the factors determining pKa values and improve pKa predictions using enhanced protocols. We demonstrate improved performance using the FEP methodology vs example empirical and continuum solvent-based methodologies. In Chapter 4, we have evaluated the performance of the M06 and PBE0 DFT functionals and the DFT-DBLOC methodology in their ability to calculate spin splittings and redox potentials for octahedral complexes containing a first-row transition metal series atom. These quantities play a critical role in a wide range of transition metal chemistry and physics, including catalysis, electron transfer, and conductivity. The mean unsigned errors (MUEs) for these two functionals are similar to those obtained for B3LYP using the same data sets. We then apply our localized orbital correction approach for transition metals, DBLOC, in an effort to improve the results obtained with both functionals. The PBE0- DBLOC results are remarkably close in both MUE and parameter values to those obtained for the B3LYP-DBLOC method. The M06-DBLOC results are less accurate, but the parameter values and trends are still qualitatively very similar. These results demonstrate that DBLOC corrected methods are substantially more accurate for these systems than any of the uncorrected functionals we have tested and that the deviations between hybrid DFT methods and experiment for transition metal containing systems exhibit striking physically based regularities which are very similar for the three functionals that we have examined, despite significant differences in the details of each model