Obesity paradox versus frailty syndrome in first-ever ischemic stroke survivors

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VITRO ANTIOXIDANT PROPERTIES AND WOUND HEALING ACTIVITY OF HYDROETHANOLIC TURMERIC RHIZOME EXTRACT (ZINGIBERACEAE)

Objective: In the present study, we evaluated the ethno pharmacological effect of the different doses of Turmeric rhizome hydroethanolic extract ointment (TRO), using in vitro antioxidant activity and in vivo excision, incision and dead space wound models in Wistar rats. Methods: The antioxidant activity and acute toxicity studies were performed. In excision wound model, period of epithelization time and wound area were monitored on days 2, 4, 6, 8, 10, 12, 14, 16, 18 and 20 using graph paper. Additionally, histological evaluation was carried out on days 3, 7, 14 and 21. Incision wound modle and dead space, were perfomed for breaking strength value and hydroxyproline content. Results: The results of wound contraction and skin breaking strength a significant increased showed in wound contraction and breaking strength value rate, in all treatment groups with TRO, especially in high dose of TRO. Thus, results of histopathological evaluation showed that TRO accelerate wound healing process specifically in re-epithelization period, angiogenesis and collagen disposition in all treatment groups. Conclusion: Data revealed that ointment formulation prepared with hydroethanolic extract of Turmeric rhizome had remarkable wound healing activities

Comparing three data mining algorithms for identifying associated risk factors of Type 2 Diabetes

Introduction: Type 2 diabetes (T2DM) shows increasing prevalence and global health burden, causing a concern among health service providers and health administrators. The current study is aimed at developing and comparing some statistical models that are useful in measuring or establishing such associations. The three particular statistical methods investigated in this study are artificial neural network (ANN), support vector machines (SVM) and multivariate logistic regression (MLR) using demographic, anthropometric and biochemical characteristics on a sample of 9528 individuals from Mashhad city. Methods: The statistical methods involved in this study are also known as machine learning algorithms and require dividing the available data in to training and testing dataset. This study has randomly selected 70% cases (6654 cases) for training and reserved the remaining 30% (2874 cases) for testing. The three methods are compared with help of the receiver operating characteristic (ROC) curve. Results: The prevalence rate of T2DM is 14% in our population. The ANN model has 78.7% , accuracy, 63.1% sensitivity and 81.2% specificity. Values of these three parameters are 76.8%, 64.5% and 78.9% respectively for SVM and 77.7%, 60.1% and 80.5%, respectively for MLR. The area under the ROC curve (AUC) is 0.71 for ANN, in SVM model was 0.73 for SVM, and 0.70 for MLR.  Conclusion: The overall conclusion is that ANN performs better than two models and can be used effectively to identify associated risk factors of T2DM. &nbsp

Applying decision tree for detection of a low risk population for type 2 diabetes: A population based study

Introduction: The aim of current study was to create a prediction model using data mining approach, decision tree technique, to identify low risk individuals for incidence of Type 2 diabetes (T2DM), using the Mashhad Stroke and Heart Atherosclerotic Disorders (MASHAD) Study program. Methods: a prediction model was developed using classification by the decision tree method on 9528 subjects recruited from MASHAD database. Moreover, the receiver operating characteristic (ROC) curve was applied. Results: The prevalence rate of T2DM was ~14% in our population. For decision tree model, the accuracy, sensitivity, and specificity value for identifying the related factors with T2DM were 78.7%, 47.8% and 83%, respectively. In addition, the area under the ROC curve (AUC) value for recognizing the risk factors associated with T2DM was 0.64. Moreover, we found that subjects with family history of T2DM, age>=48, SBP>=130, DBP>=81, HDL>=29, LDL>=148 and occupation=other have more than 59% chance of this disorder, while the chance of T2DM in subjects without history with TG>=184, age>=48 and hs-CRP>=2.2, have approximately 51% chance. Conclusion: Our findings demonstrated that decision tree analysis, using routine demographic, clinical, anthropometric and biochemical measurements, which combined with other risk score models, could create a simple strategy to predict individuals at low risk for type 2 diabetes in order to decrease substantially the number of subjects needing for screening and recognition of subject at high risk

Genetic determinants of premature menopause in A Mashhad population cohort

Funding Information: This work was supported by a grant from the Vice Chancellor for Research at Mashhad University of Medical Sciences and this was a part of the Ph.D. student dissertation (no. 971084). The authors have no conflict of interest to disclose.Peer reviewedPublisher PD

Hybrid poly‐l‐lactic acid/poly(ε‐caprolactone) nanofibrous scaffold can improve biochemical and molecular markers of human induced pluripotent stem cell‐derived hepatocyte‐like cells

A suitable alternative strategy for liver transplantation is the use of nanofibrous scaffolds together with stem cells. In this study, a random hybrid of poly-L-lactic acid (PLLA) and polycaprolactone (PCL) was used as a three-dimensional (3D) culture for hepatocyte-like cells (HLCs) differentiation and compared with routine culture (2D). The expression of the endodermal marker, FOXA2, was assessed on day 3 and the hepatic markers; albumin (ALB), alpha-1 antitrypsin (AAT), and cytokeratin-18 (CK-18) were evaluated on day 18 by (qPCR). As well as, albumin, alpha-fetoprotein, and low-density lipoprotein (LDL) uptake were evaluated by immunocytochemistry; moreover Periodic Acid-Schiff and Oil red were done by cell staining. In addition, alpha-fetoprotein (AFP) and urea production were evaluated by chemiluminescence and colorimetric assays. Light and Scanning Electron Microscopy (SEM) microscope showed changes in the cells in 2D and 3D models. The gene expression of hepatic markers werewas significantly higher in the three-dimensional cultures. In addition, immunocytochemistry and cell staining showed that albumin, alpha-fetoprotein, LDL-uptake, Periodic Acid-Schiff, and Oil red were expressed in both cells derived on 2D and 3D. Furthermore, the evaluation of alpha-fetoprotein and urea secretion was significantly different between 2D and 3D strategies. These findings suggest that functionally cells cultured on a PLLA/PCL scaffold may be suitable for cell therapy and regenerative medicine

Design, construction and evaluation of 1a/JFH1 HCV chimera by replacing the intergenotypic variable region

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