mehrizi

Studies have shown that plant compounds have significant anticancer effects that if the challenges of using them are resolved, Can be the successor to the synthetic compounds commonly used in cancer therapy. Therefore, in this study, the liposomal nano- carriers containing Nepeta persica extract have been investigated in order to improve the physicochemical characteristics and evaluation of its antitumor properties. The present study is a kind experimental study. Liposomal vesicles were prepared using SPC, cholesterol and PEG by thin-film method and the Nepeta persica extract was loaded into the liposomes. Their physicochemical characteristics were evaluated using Zeta Sizer, FTIR, SEM, and the release pattern of the extract was calculated at 37 oC and 42 oC. At the end, the toxicity of this nano-carriers containing the extract on the MCF-7 cell line of breast cancer has been studied. The results of the study showed that the nano-carriers containing the extract had an encapsulation efficiency of 67/11±5/74%, size of 116/9 nm, and -13.24 ± 1.01mV zeta potential, spherical morphology and controlled release. Also, the results of the toxicity of this nano-carrier containing the extract indicate that the liposomal extract has a higher toxicity to the MCF-7 cell line than the free extract.

The results of this study show that nano-liposomes containing Nepeta persica extract, mean while having appropriate physiochemical properties, reduce the survival of breast cancer cells compared to non-liposomal extracts, and thus can be a good carriers for delivery of Nepeta persica extract to breast cancer cell.

 Religion affects all aspects of the life. One of the most important aspects of human health is its mental health, and how it gets affected by stress, anxiety, and depression. The purpose of this study was to evaluate whether there was any relationship between religiosity with stress, anxiety, and depression among the students of Kurdistan University of Medical Sciences, Iran.  This cross-sectional study was conducted at Kurdistan University of Medical Sciences in 2017. The total number of 282 students were selected using a two-stage stratified sampling method to fulfill univariate religiosity questionnaire and Depression, Anxiety and Stress Scale-21 (DASS-21). All statistical analysis was performed using SPSS software.  The mean age of participants was 22.34 ± 3.05 years. 70.9% of participants were women, and 92.2% were single. Out of four dimensions of religiosity, only ritual dimension was found to have a significant correlation with stress (P = 0.030). The correlation between other dimensions of religiosity (belief, emotional, and consequential (and aspects of mental health found to be not statistically significant (P > 0.050).  Based on the findings of this study, religious activities can reduce the stress of individuals. Designing non-syllabus interventions is recommended in order to increase religious activities in order to improve students’ mental health.

Excessive daytime sleepiness (EDS) is a common problem in patients referred to sleep clinics, which could result in adverse consequences in their personal and social activities including motor vehicle accidents (MVAs). Epworth Sleepiness Scale (ESS) and Multiple Sleep Latency Test (MSLT) are known methods for measuring EDS. In this study, we aimed to evaluate the relationship between EDS and MVAs. Medical records of 144 patients (106 men) with EDS referred to Baharloo Sleep Clinic, Tehran, Iran, were assessed in this cross-sectional study. All participants filled out a questionnaire including demographic characteristics, ESS, and history of MVAs due to sleepiness in the last five years and underwent full-night polysomnography (PSG) and MSLT. Sleepiness was categorized to normal, moderate, or severe according to mean sleep latency (MSL) in MSLT. Patients with history of MVAs had a significantly less MSL and higher ESS scores than those without MVAs (6.6 ± 3.9 vs. 9.3 ± 6.5, P = 0.038; and 17.9 ± 4.4 vs. 15.6 ± 5.5, P = 0.030, respectively). MVAs were reported in 41.9%, 31.0%, and 16.1% of patients with severe, moderate, and normal sleepiness, respectively. There was a significant relationship between severity of sleepiness and history of MVAs (P = 0.020). Regression analysis showed that after adjustment for age and sex, ESS and MSL remained significantly different between patients with and without MVAs. ESS score and MSL would help sleep clinicians to find high-risk patients for safety-sensitive jobs, the issue which should not be overlooked by them during visits in sleep clinic.

Obstructive sleep apnea (OSA) is the most common type of sleep-disordered breathing. Multivariable apnea prediction (MAP) index consists of three questions about the frequency of OSA symptoms plus body mass index (BMI), age and sex that categorizes the patients to low and high risk for OSA using a formula. Objective MAP index was calculated by discounting the questions from formula. In this study, we evaluated the utility of the MAP index and objective MAP index in screening of the OSA.
In a cross-sectional study, we enrolled 609 patients of three sleep clinics suspected of having OSA who underwent polysomnography (PSG) as a gold standard test for OSA diagnosis. The apnea-hypopnea index (AHI) of the PSG was used to classify the severity of OSA.
A significant strong correlation was observed between MAP index and objective MAP index using Spearman’s coefficient (r=0.801, P This study showed that MAP index and especially objective MAP index might have a consid- erable utility in the screening of OSA.

Obstructive sleep apnea (OSA) is the most common respiratory disorder during sleep and a risk factor for myocardial ischemia. In this study, we evaluated the proportion of subjects at high risk for OSA and prevalence of its predictors among patients admitted for acute myocardial infarction (MI).
A total of 210 patients with MI admitted at the cardiac care unit of Baharloo Hospital, Tehran, Iran were enrolled in this study. The STOP-BANG questionnaire was used for diagnosing high- risk patients of OSA. Anthropometric and demographic characteristics, family and personal history, results of biochemical tests, and the time of the onset of MI in patients were recorded.
Based on the STOP-BANG questionnaire, 112 patients (53.3%) were at high risk for OSA. The lev- el of fasting blood sugar (FBS) was significantly higher in high-risk patients for OSA. Regression analysis showed that FBS could be a predictor of OSA in patients with MI (P value: 0.005). From midnight to 5:59, the frequency of the onset of MI was significantly higher in patients at high risk for OSA compared with those at low risk (42% vs. 16.3%, P OSA is a prevalent disorder in patients with MI. Looking for signs and symptoms of OSA should be considered in clinical assessment of MI patients.

Semi-supervised learning with growing self-organizing map (GSOM) is used in many applications, such as clustering. The main challenges in the Semi-supervised GSOM are calculating parameters such as shape and structure of clustering layer, activation level, and weights of classifier layer. Current approaches use initiative methods with a local look have trying to determine these parameters; which its effect, the results of these algorithms is highly dependent on the conditions. This paper studies a semi-supervised learning method based on GSOM and extreme learning for the first time. The proposed method, without the direct calculation of the GSOM parameters and using the extreme learning determines label of each data. Error resulted from the feedback system is used to optimize extreme learning and GSOM. In this paper, in addition to investigating the convergence analysis of the proposed method, sequential extreme learning is also provided for semi-supervised GSOM. Experiments conducted on online and partially labeled data show that the proposed method has a relative advantage in terms of accuracy on semi-supervised GSOM.

Diabetes is a common endocrine disorder caused by deficiency of insulin secretion or insulin resistant. nowadays, in addition to trying to find a safe way to control diabetes, find the low side effect way is important. This study was designed to find the effect of Urtica dioica extract on glycemic control and insulin resistance in patients with type 2 diabetes. A parallel randomized clinical trial was conducted with participating 60 patients with type 2 diabetes who met inclusion criteria were recruited. Patients were randomly assigned to receive 100mg/kg/day extract of Urtica dioica group (UG) and the other group which received placebo (PG) over an 8 weeks period. Fasting blood sugar (FBS) concentration and insulin resistance indices (insulin concentration, insulin resistance (IR), insulin sensitivity (S%) and β-cell function (β%)) were measured at baseline and end of the study. Data were analyzed using SPSS 16.0 and P<0.05 was considered significant. The mean difference of FBS in UG and PG were 20.16±52.6 mg/dl and -0.7±45.29 mg/dl (P-value=0.14) and the mean concentration of insulin in UG and PG were 2.5mU/L and 0.2mU/L (P-value=0.003), respectively, that showed a significant increase in insulin concentration in UG compared to PG and the mean IR in UG and PG were 0.3 and 0.1 (P-value=0.01) that showed a significant decrease in IR in UG compared to PG. The mean difference of β% in UG and PG were -24.16±35.07% and 1.22±18.14% (P-value=0.003), and the mean difference of S% in UG and PG were -54.72±69.3% and 1.1±74.01% (P-value=0.009), respectively that showed increase in insulin concentration, β% and S% and decrease in IR in UG compared to PG. In the present study we demonstrated that consumption of 100mg/kg/day extract of U.dioica for 8 weeks did not have significant effect on FBS and it has significant effect on insulin resistance indices.

Insulin is a hormone exclusively produced by pancreatic beta cells. The production of recombinant proteins in microorganisms has some disadvantages such as high cost, the possibility of contamination with toxic proteins, and costly purification steps; so, the production of recombinant proteins in plants can be investigated. Development of transient expression system based on a deleted version of Cowpea mosaic virus RNA-2, Cowpea Mosaic Virus-Hyper Translatable (CPMV-HT), has provided the extremely high-level and rapid production of proteins without viral replication. In this study, two constructions were prepared; pBI121-Proinsulin-Zera (pBI-ProZ) containing human proinsulin gene and Zera (N-terminal proline-rich domain of γ-zein) and pCAMBIA1304-Proinsulin-Extensin (pCAMBIA-ProE) containing CPMV-HT expression system for improvement of translation of human proinsulin gene and carrot extensin signal peptide. Both structures were transiently transferred in to lettuce and alfalfa leaves using Agrobacterium tumefasiens pv. C58. Statistical analysis of this study was conducted on the concentration of produced proinsulin per each gram of transgenic leaf using factorial arrangement of treatment in a complete randomized design. Gene expression was confirmed in transcription level using reverse transcription polymerase chain reaction (RT-PCR) method and in translation level using enzyme-linked immunosorbent assay (ELISA) and Dot blot assay. Protein accumulation for pCAMBIA-ProE and pBI-ProZ constructs were 6.82 and 4.32 ng/g in recombinant alfalfa leaves and 6.6 and 3.8 ng/g in recombinant lettuce leaves, respectively. Results showed that the expression of proinsulin in pCAMBIA-ProE contains CPMV-HT expression system was more than pBI-ProZ.

Every year¡ many people are killed and wounded due to traffic accidents in Iran road and lot of families suffer from physical¡ mental and financial problem. Today¡ the problem of traffic accidents has become an important issue in Iran. . Some provinces¡ based on their positions or number of accidents¡ require further investigations. Nonetheless Qom has lower number of injured or killed person in road’s accidents. The most important roads of Qom are ranked by various factors in this research. This ranking is done by AHP method and EC software. AHP is a flexible and strong method¡ especially when there are different factors.

The main agents of sarcocystosis in cattle as an intermediate host include S. cruzi, S. hominis and S. hirsuta. A sensitive and specific tool such as molecular-based techniques would be necessary to identify the species. Case report: After collection of beef sample from Yazd slaughterhouse, DNA extraction was done with salting out method. The 18SrRNA gene as a specific target gene was used for molecular detection of Sarcocystis spp, then Restriction Fragment Length Polymorphysm (RFLP) analysis identified the speciesusing Rsa and Bfa. Results showed that our designed molecular method could identify S. hirsuta in beef sample. Based on our knowledge, this study indicates the first report of molecular identification of S. hirsuta in Iran.

Traffic fatalities are a major cause of morbidity and mortality in Iran. Occupational sleep medicine field needs more cost-effective and applicable tests for screening purposes. This study reports on a pilot screening study for drowsy drivers in an urban Iranian sample of commercial drivers. The Maintenance of Wakefulness Test (MWT) measures the ability to remain awake objectively. Sleep latency in MWT is a reasonable predictor of driving simulator performance in drivers. In this study, we evaluate whether the Epworth Sleepiness Scale (ESS) and MWT are equally useful in drivers with possible Excessive Daytime Sleepiness (EDS). 46 consecutive road truck drivers in a transportation terminal entered into this study. The ESS score of patients with normal and abnormal MWT was 3.24±2.4 and 4.08±3 respectively which was not significantly differenced (P value = 0.34). No significant correlation was found between the ESS and sleep latency in MWT (r=-0.28, 95%CI= -0.58 to 0.02). By using the receiver operating characteristic analysis, the area under the curve was found to be 0.57 (95% confidence interval = 0.37– 0.77) which is not statistically acceptable (P value=0.46). Our finding showed that the MWT and ESS do not measure the same parameter.

Current evidence consistently confirm inequalities in health status among socioeconomic groups, gender,ethnicity, geographical area and other social determinants of health (SDH), which adversely influence health of the population. SDH refer to a wide range of factors not limited to social component, but also involve economic, cultural,educational, political or environmental problems. Measuring inequalities, improving daily living conditions, andtackling inequitable distribution of resources are highly recommended by international SDH commissioners in recentyears to ‘close the gaps within a generation’. To measure inequalities in socio-economic determinants and core healthindicators in Tehran, the second round of Urban Health Equity Assessment and Response Tool (Urban HEART-2)was conducted in November 2011, within the main framework of WHO Centre for Health Development (Kobe Centre). For ‘assessment’ part of the project, 65 indicators in six policy domains namely ‘physical and infrastructure’,‘human and social’, ‘economic’, ‘governance’, ‘health and nutrition’, and also ‘cultural’ domain were targetedeither through a population based survey or using routine system. Survey was conducted in a multistage random sampling,disaggregated to 22 districts and 368 neighborhoods of Tehran, where data of almost 35000 households (118000 individuals) were collected. For ‘response’ part of the project, widespread community based development (CBD) projects were organized in all 368 neighborhoods, which are being undertaken throughout 2013. Following the first round of Urban HEART project in 2008, the second round was conducted to trackchanges over time, to institutionalize inequality assessment within the local government, to build up community participationin ‘assessment’ and ‘response’ parts of the project, and to implement appropriate and evidence-based actionsto reduce health inequalities within all neighborhoods of Tehran.

The purpose of this study was to investigate the effects of traditional and cluster resistance training on explosive power in soccer players during pre-seasonal preparation. 22 male, soccer players (mean age 24/68±3/13 years, mean height 176 ± 0.41cm, and mean body mass 71/05 ± 6/51 kg) were selected as available samples and performed a 10-week resistance training protocol that included three stages; [1] Hypertrophy (4 weeks), [2] Strength (3 weeks) and [3] Power (3 weeks). The subjects were evaluated after 4 weeks of hypertrophy phase for maximum strength and power. They were then divided into two squat training groups, with respect to their recorded one repetition maximum: [1] Traditional training (TT) group (N=11) and [2] Cluster training (CT) group (N=11). Each group performed strength and power trainings for 6 weeks. Data was analyzed using Repeated Measures (ANOVA) at a Significance level of (P)