15 research outputs found

    Detection of mutations in exons 5-8 of the P53 gene in gastric cancer samples using PCR-SSCP in Chaharmahal va Bakhtiari province 2006-2007

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    زمینه و هدف: سرطان معده دومین سرطان شایع در جهان است. فاکتورهای ژنتیکی مانند انکوژن ها و ژن های سرکوبگر تومور، همواره از جمله مهمترین عوامل در بروز این سرطان هستند. ژن P53 یک ژن سرکوبگر تومور است و نقش بسیار مهمی در فرآیند مرگ برنامه ریزی شده سلول ایفا می کند. جهش در ژن P53 موجب از بین رفتن عملکرد محافظتی آن شده که یکی ازعوامل اصلی بروز سرطان معده در انسان است. این مطالعه با هدف بررسی جهش های ژن P53 در بیماران مبتلا به سرطان معده در استان چهارمحال و بختیاری انجام شده است. روش بررسی: در این مطالعه توصیفی آزمایشگاهی به بررسی جهش ها در اگزون های شماره 8-5 ژن P53 در 38 نمونه پارافینه سرطان معده پرداخته ایم. ابتدا DNA به روش استاندارد فنل کلروفرم استخراج شد، سپس با استفاده از تکنیک PCR-SSCP جهش های این ژن بررسی شدند. یافته ها: تفاوت های آشکاری در همه نمونه های کنترل مثبت مشاهده شد. با این وجود در سایر نمونه های مربوط به بیماران هیچ تفاوت و تغییری در حرکت باندها تشخیص داده نشد. نتیجه گیری: در استان چهارمحال و بختیاری ارتباط بین سرطان معده با جهش های ژن P53 بسیار ضعیف است. البته این مطالعه فقط بر روی 38 نمونه بیمار انجام شده و مطالعات بیشتری نیاز است تا ارتباط واقعی جهش بر روی ژن P53 با سرطان معده در این استان مشخص شود

    Protective effect of Petroselinum crispum extract in abortion using prostadin-induced renal dysfunction in female rats

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    Objective: Present study investigated the effects of parsley extract on pregnant rat kidneys which have undergone clinical abortion using prostaglandins. The renal protective effect of parsley extract was evaluated in pregnant rats which had an abortion. Parsley was used due to its antioxidant properties. Materials and Methods:  Fifty-four female rats were divided in 9 groups of 6: control pregnant, two pregnant groups which received parsley extract and prostadin, two non-pregnant groups treated with parsley extract and prostadin, a group administered with both treatments, and three groups which received parsley extract in pre-implantation, implantation, and post-implantation periods of embryos. Ethanolic extract (5 mg/kg) was given daily to animals for 18 days of pregnancy period. Parameters such as malondialdehyde (MDA), total antioxidant statues (TAS), creatinine, and urea were measured using biochemical assays. Histopathologic studies were also done with Hematoxylin-Eosin staining method. Results: After 18 days of treatment, significant differences were observed in serum creatinine, urea, and MDA and TAS levels. Kidney cross-sections showed edema in prostadin-treated rats while improvements in parsley + prostadin -treated rats were observed. Conclusion: These results suggested that ethanolic extract of Petroselinum crispum reduced the dysfunction in rats kidney caused by prostadin-induced abortion and could have beneficial effect in reducing the progression of prostaglandin-induced edema

    The effect of web interface features on consumer online purchase intentions

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    Information and communication technology plays essential role for people’s day-to-day business activities. People receive most of their knowledge by processing, recording and transferring necessary information through surfing Internet websites. Internet as an essential part of information technology (IT) has grown remarkably. Nowadays, there have been significant amount of efforts in Iran for developing e-commerce. This paper studies the effects of environmental internet features on internet purchase intention. The study divides internet environment into demographic and technologic parts and, for studying each of them, many features are investigated such as internet connection speed, connectivity model, web browser, type of payments, user’s income, user’s education, user’s gender, frequency of online usage per week and users’ goal for using internet. Using Logistic regression technique, the study has determined a meaningful effects of income, education, connection type, browser and goal on consumers’ behavior

    Antioxidative properties comparison of Chenopodium quinoa leaves and seeds �extract: in vitro study

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    Backgrounds Quinoa (Quino Chenopodium.Willd ) is attended due to its high nutritional value �recently.�� �Nutrients� �of Quinoa including amino acids ,antioxidant compounds ,essential fatty �acids, minerals and vitamins led to research on the characteristics of this plant. While few studies �have been done in Iran on characteristics of Quinoa.�Materials and Methods To assess the nutraceutical potential of quinoa, the antioxidant capacity of �quinoa leaves and seeds was investigated. The antioxidant activity against DPPH radicals is �highly depends on the phenolic content of samples. In this research, using high performance liquid �chromatography (HPLC), the ingredients of seed and leaf extracts were separated and identified. �In addition, its antioxidant properties were measured by the evaluation of DPPH free radical �scavenging and were used to measure the content of phenolic compounds by Follin-Ciocalteu �method.�Results� �Total phenol content in the seeds and leaves extract of quinoa�,�� 54.4 and 76.3 (mg gallic �acid per gram of extract) respectively and flavonoids in extracts of quinoa seeds and leaves 26.3 �and 36.7 (mg quercetin per gram of extract) respectively were obtained. Analysis of variance �showed that the concentration of synthetic antioxidant have significant effect on DPPH free radical �scavenging� ��(

    Effects of Applied Behavior Analysis method on the performance of 5 to 10 year old autistic children in Farshchian Therapy Center of Hamadan in 1389

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    Objective: The objective of this study was to assess the effects of ABA treatment on the performance of Hamadan autistic children. Method: An applied research with an experimental design has been used. All the autistic children of Farshchian therapy center of Hamadan were treated. To collect data a questionnaire containing questions covering data for the general profile of respondents and also psychological data (general knowledge, attention, imitation and self-help), was applied both as pre-and post-test. The data was analyzed by multivariate analysis of covariance and repeated measures. Dependent variables were analyzed using an alpha level of Ben Frony (0125 / 0) Results: showed significant differences between groups in terms of the variables (general knowledge, attention, imitation and self-help).Test results of repeated measurements for experimental and control groups in comparison to pre-test scores, was significant

    Combined Spectroscopic and Calorimetric Studies to Reveal Absorption Mechanisms and Conformational Changes of Protein on Nanoporous Biomaterials

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    In this study the effect of surface modification of mesoporous silica nanoparticles (MSNs) on its adsorption capacities and protein stability after immobilization of beta-lactoglobulin B (BLG-B) was investigated. For this purpose, non-functionalized (KIT-6) and aminopropyl-functionalized cubic Ia3d mesoporous silica ([n-PrNH2-KIT-6]) nanoparticles were used as nanoporous supports. Aminopropyl-functionalized mesoporous nanoparticles exhibited more potential candidates for BLG-B adsorption and minimum BLG leaching than non-functionalized nanoparticles. It was observed that the amount of adsorbed BLG is dependent on the initial BLG concentration for both KIT-6 and [n-PrNH2-KIT-6] mesoporous nanoparticles. Also larger amounts of BLG-B on KIT-6 was immobilized upon raising the temperature of the medium from 4 to 55 °C while such increase was undetectable in the case of immobilization of BLG-B on the [n-PrNH2-KIT-6]. At temperatures above 55 °C the amounts of adsorbed BLG on both studied nanomaterials decreased significantly. By Differential scanning calorimetry or DSC analysis the heterogeneity of the protein solution and increase in Tm may indicate that immobilization of BLG-B onto the modified KIT-6 results in higher thermal stability compared to unmodified one. The obtained results provide several crucial factors in determining the mechanism(s) of protein adsorption and stability on the nanostructured solid supports and the development of engineered nano-biomaterials for controlled drug-delivery systems and biomimetic interfaces for the immobilization of living cells

    An Injectable Enzymatically Crosslinked and Mechanically Tunable Silk Fibroin/Chondroitin Sulfate Chondro‐Inductive Hydrogel

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    Abstract An injectable hybrid hydrogel is synthesized, comprising silk fibroin (SF) and chondroitin sulfate (CS) through di‐tyrosine formation bond of SF chains. CS and SF are reported with excellent biocompatibility as tissue engineering scaffolds. Nonetheless, the rapid degradation rate of pure CS scaffolds presents a challenge to effectively recreate articular cartilage. As CS is one of the cartilage extracellular matrix (ECM) components, it has the potential to enhance the biological activity of SF‐based hydrogel in terms of cartilage repair. Therefore, altering the CS concentrations (i.e., 0 wt%, 0.25 wt%, 0.5 wt%, 1 wt%, and 2 wt%), which are interpenetrated between SF β‐sheets and chains, can potentially adjust the physical, chemical, and mechanical features of these hybrid hydrogels. The formation of β‐sheets by 30 days of immersion in de‐ionized (DI) water can improve the compression strength of the SF/CS hybrid hydrogels in comparison with the same SF/CS hybrid hydrogels in the dried state. Biological investigation and observation depicts proper cell attachment, proliferation and cell viability for C28/I2 cells. Gene expression of sex‐determining region YBox 9 (SOX9), Collagen II α1, and Aggrecan (AGG) exhibits positive C3H10T1/2 growth and expression of cartilage‐specific genes in the 0.25 wt% and 0.5 wt% SF/CS hydrogels

    Effects of Electromagnetic Stimulation on Gene Expression of Mesenchymal Stem Cells and Repair of Bone Lesions

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    Objective Most people experience bone damage and bone disorders during their lifetimes. The use of autografts is a suitable way for injury recovery and healing. Mesenchymal stem cells (MSCs) are key players in tissue engineering and regenerative medicine. Their proliferation potential and multipotent differentiation ability enable MSCs to be considered as appropriate cells for therapy and clinical applications. Differentiation of stem cells depends on their microenvironment and biophysical stimulations. The aim of this study is to analyze the effects of an electromagnetic field on osteogenic differentiation of stem cells. Materials and Methods In this experimental animal study, we assessed the effects of the essential parameters of a pulsatile electromagnetic field on osteogenic differentiation. The main purpose was to identify an optimum electromagnetic field for osteogenesis induction. After isolating MSCs from male Wistar rats, passage-3 (P3) cells were exposed to an electromagnetic field that had an intensity of 0.2 millitesla (mT) and frequency of 15 Hz for 10 days. Flow cytometry analysis confirmed the mesenchymal identity of the isolated cells. Pulsatile electromagnetic field-stimulated cells were examined by immunocytochemistry and real-time polymerase chain reaction (PCR). Results Electromagnetic field stimulation alone motivated the expression of osteogenic genes. This stimulation was more effective when combined with osteogenic differentiation medium 6 hours per day for 10 days. For the in vivo study, an incision was made in the cranium of each animal, after which we implanted a collagen scaffold seeded with stimulated cells into the animals. Histological analysis revealed bone formation after 10 weeks of implantation. Conclusion We have shown that the combined use of chemical factors and an electromagnetic field was more effective for inducing osteogenesis. These elements have synergistic effects and are beneficial for bone tissue engineering applications

    Prevalence and Incidence Rate of Diabetes, Pre-diabetes, Uncontrolled Diabetes, and Their Predictors in the Adult Population in Southeastern Iran: Findings From KERCADR Study.

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    Background: Diabetes mellitus is among the most serious health challenges worldwide. We assessed the prevalence of pre-diabetes (pre-DM) and diabetes (DM), the effectiveness of diabetes management, the 5-year incidence rate, and associated variables in the adult population in southeastern Iran. Methods: In a random cluster household survey (2014-2018), 9,959 adult individuals aged 15-80 years were assessed for coronary artery disease risk factors, including diabetes mellitus in Kerman (KERCADRS, phase 2). Among these people, 2,820 persons had also participated in phase 1 of the study 5 years earlier (2009-2011). Univariable and multivariable survey logistic regression models were used to identify the potential predictors of diabetes and pre-diabetes. Results: The prevalence of pre-DM was 12% (males 13.2% vs. females 11.1%), steadily increasing from 7.1% in the 15-24 years group to 18.4% in the 55-64 years group. The prevalence of DM was 10.2% (male and female, 7.9 and 10.8%, respectively), of which 1.9% were undiagnosed. DM was diagnosed in 10.6% of educated and 15.1% of illiterate people. The prevalence of diagnosed DM was lower in smokers (5.2 vs. 8.7%) and dependent opium users (5.4 vs. 8.8%). The prevalence of uncontrolled DM (HbA1c > 7%) was 48.8%, increasing with age. The frequency of uncontrolled DM among people without and with treatment was 32 and 55.9%, respectively. Illiterate people had worse uncontrolled DM (55.6 vs. 39.6%). The 5-year incidence rate (persons/100 person-years) was 1.5 for pre-DM and 1.2 for DM, respectively. The lowest and the highest incidence rate of DM belonged to the 15-34 years old group (0.5) and dependent opium users (2.4). The incidence rate was found to have a direct relationship with BMI and a reverse relationship with physical activity. Conclusion: Pre-DM and DM affected 22.2% of the population. One-third of patients with diabetes had undiagnosed DM, and in 55.9% of people with diagnosed DM, treatment had been ineffective. Appropriate health interventions are needed to reduce the prevalence and health consequences of diabetes in the region

    Designing a Logistic Regression Model for a Dataset to Predict Diabetic Foot Ulcer in Diabetic Patients: High-Density Lipoprotein (HDL) Cholesterol Was the Negative Predictor

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    Objectives. Although the risk factors for diabetic neuropathy and diabetic foot ulcer have been detected, there was no practical modeling for their prediction. We aimed to design a logistic regression model on an Iranian dataset to predict the probability of experiencing diabetic foot ulcers up to a considered age in diabetic patients. Methods. The present study was a statistical modeling on a previously published dataset. The covariates were sex, age, body mass index (BMI), fasting blood sugar (FBS), hemoglobin A1C (HbA1C), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride (TG), insulin dependency, and statin use. The final model of logistic regression was designed through a manual stepwise method. To study the performance of the model, an area under receiver operating characteristic (AUC) curve was reported. A scoring system was defined according to the beta coefficients to be used in logistic function for calculation of the probability. Results. The pretest probability for the outcome was 30.83%. The final model consisted of age (β1=0.133), BMI (β2=0.194), FBS (β3=0.011), HDL (β4=−0.118), and insulin dependency (β5=0.986) (P<0.1). The performance of the model was definitely acceptable (AUC=0.914). Conclusion. This model can be used clinically for consulting the patients. The only negative predictor of the risk is HDL cholesterol. Keeping the HDL level more than 50 (mg/dl) is strongly suggested. Logistic regression modeling is a simple and practical method to be used in the clinic
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