Molecular epidemiology of high-risk types of Human Papillomaviruses (16, 18) in pap-smear, the North East of Iran

Background: Cervical Cancer is one of the most important and commonly diagnosed types of cancer in females. There are different causes of cervical cancer, amongst which recurrent and persistent infection with HPV types 16 and 18 are the most renowned ones. These genotypes are the main factors in 99% of cases in developed countries and 70% in developing ones. Due to the importance of these viruses in cervical cancer, molecular detection of HPV and its high risk genotypes in Gorgan was designed. Methods: Pap smears and swabs specimens were taken from 308 women. Papanicola staining method and cytology were used. Nucleic acid was extracted by proteinase K phenol-chloroform standard method and then assessed by using beta-globin primer. Polymerase Chain Reaction (PCR) was then performed for papilomaviruses on all patients and positive cases from both types, including HPV 16 and 18 genotypes, were detected. Results: Three hundred and eight women (15-75 years old) with mean age of 37.54±10.6 were recruited. Seventy six cases (20.1%) of whom were infected with HPV and 48.6% with HPV16 or 18 positive. Normal cytology was seen in 226 cases and 41 patients (18.1%) were HPV positive. Amongst those 152 cases with inflammation or abnormal cytology, 35 cases (23%) were HPV positive. No significant relation was reported between different variables and HPV infections. Conclusions: Due to high rate of HPV infection, as well as its high risk genotypes in different studies, more careful screening of women by Pap smear is recommended

Serum level of lactate dehydrogenase, homocystein, hemoglobin and platelet in preeclampsia

Objectives: Pre-eclampsia affects approximately 5-8% of pregnant women. The aim of this study was to compare the serum level of Lactate dehydrogenase (LDH), Homocystein, Hemoglubin and platelet in pregnant women diagnosed as pre-eclampsia and a normal group in Gorgan city, Northeastern Iran from 2007-2008. Methodology: In this case control study, 50 cases of pre-eclampsia were compared with the control group women hospitalized in Dezyani hospital. Pre-eclampsia criteria were: Blood pressure more than or equal to 140/90 mm hg and Proteinuria greater or equal to 300 mg/ 24 hours urine sample in the third trimester. Hemoglobin, platelet, LDH and hemocystein were measured. Data were analyzed by the mean of SPSS-14 program & Chi-2 or t-student were used. Results: The difference of BMI and family incomes was significant between two groups (P-value0.01). Hemocystein level was more than normal range in five patients with pre-eclampsia (P-value<0.001). Conclusions: In this study, hemocystein level was significantly higher in pre-eclampsia patients but LDH, hemoglobin and platelet level had no significant difference

Maternal serum copper concentration in premature rupture of membrane: A case-control study

Copper is an integrated parts of metal-protein required far varieties of oxide-reductive metabolic pathways in human. Copper deficiency is considered as risk factors in some pregnancies. Premature rupture of membrane is a pregnancy complication with major adverse effects and is believed maternal Copper deficiency can also be considered as interventional factors. This study was done to evaluate if there is a correlation between maternal serum Copper concentration and premature rupture of membrane in pregnancy. In this case-control study 60 pregnant women with Premature Rupture of Membrane (PROM) were selected as case group including term and pre term the control group consist of 60 pregnant women with normal delivery of term and pre term states. Both group were matched for maternal and pregnancy age. In case and control group the pregnancy at term and pre-term were grouped independently as well. In general the maternal mean serum Copper concentration were 192.4±78.2 and 201.08±82.06 in case and control groups, respectively but this differences statistically was not significant. Data in this study revealed that the absolute value of maternal serum Copper concentration of term or pre term in case groups was slightly lower than related controls. Drop in maternal Copper concentration in some disturbed pregnancies such as premature rupture of membrane is previously demonstrated and based on our data the absolute Copper serum concentration of women with premature rupture of membrane was also slightly lower compared to healthy pregnancy but it was not statistically significant. © Asian Network for Scientific Information

Aphthous ulcer and the effective factors on it's incidence among the students of Golestan Medical Sciences University in the north of Iran

The aim of this study was to determine the prevalence and probable predisposing factors of Aphthous ulcer among the medical students. This project was a cross-sectional and descriptive study, which was carried out on 485 students of Golestan University of medical sciences in the north of Iran. Data was collected by filling the questionnaire. The gathered informations entered into SPSS software and were analyzed by Chi square method. The mean age of the students was 21.8 years. 36.9% (179 persons) of subjects had positive history and 8.9% (43 persons) of them had present Aphthous ulcer at the time of interview. 70.6% of students with positive personal history of Aphthous ulcer had positive family history of Aphthous ulcer too. Internal labial mucosa was the commonest site of the lesion among the subjects with present Aphthous ulcer. We found that gender, positive family history, the field of study, the form of diet and stress had a major correlation with the incidence of Aphthous ulcer. © 2007 Asian Network for Scientific Information

Lingual deficits in neurotrophin double knockout mice

Brain-derived neurotrophic factor (BDNF) and Neurotrophin 3 (NT-3) are members of the neurotrophin family and are expressed in the developing and adult tongue papillae. BDNF null-mutated mice exhibit specific impairments related to innervation and development of the gustatory system while NT-3 null mice have deficits in their lingual somatosensory innervation. To further evaluate the functional specificity of these neurotrophins in the peripheral gustatory system, we generated double BDNF/NT-3 knockout mice and compared the phenotype to BDNF −/− and wild-type mice. Taste papillae morphology was severely distorted in BDNF −/− x NT-3 −/− mice compared to single BDNF −/− and wild-type mice. The deficits were found throughout the tongue and all gustatory papillae. There was a significant loss of fungiform papillae and the papillae were smaller in size compared to BDNF −/− and wild-type mice. Circumvallate papillae in the double knockouts were smaller and did not contain any intraepithelial nerve fibers. BDNF −/− x NT-3 −/− mice exhibited additive losses in both somatosensory and gustatory innervation indicating that BDNF and NT-3 exert specific roles in the innervation of the tongue. However, the additional loss of fungiform papillae and taste buds in BDNF −/− x NT-3 −/− mice compared to single BDNF knockout mice indicate a synergistic functional role for both BDNF-dependent gustatory and NT-3-dependent somatosensory innervations in taste bud and taste papillae innervation and development.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47465/1/11068_2005_Article_3330.pd

The Effect of Robotic Education on Problem-Solving Skills of High School Students in Physics

Background and Objective: Increasing development of technology has led to appearance of machines calls robots which have influenced different dimensions of human life. Robotics is one of the newest technologies in today’s world that has a great role in industry today and is gradually expanding throughout human life. Robotics is a new tool that can meet many human needs and influence the attitudes and thoughts of people, especially adolescents, and influence their behavior, because adolescents are interested in gaining new experiences and technology, due to new inventions such as robotics, this need is met. Students feel more comfortable with technology and robotics, because this technology quenches their curiosity. The world of robotics is a combination of electronics, mechanics, software and hardware that is constantly evolving. In other words, a robot is an electromechanical device or intelligent software to replace humans, with the aim of performing various tasks. A machine that can be programmed to execute various commands or perform a series of special tasks, especially those that are beyond the natural capabilities of men. Robotics, due to its interdisciplinary nature, has an attractive approach to education, because it requires expertise in the fields of mathematics and aesthetics, while mathematics strengthens problem-solving thinking and aesthetics strengthens creative thinking. Therefore, it can be said that robotics is effective on students' problem-solving and creative thinking. This study aims to evaluate the effect of robotic education on problem-solving of junior-high school students in physics. Methods: This is a semi-experimental and causal-comparative study. The statistical population includes all schools participating in the robotics training program in Tehran. Using cluster sampling, from 5 districts of Tehran, one district was chosen, and then randomly from its schools, 6 schools with 173 students were selected and 120 students were randomly selected among them. Research tools included a researcher-made questionnaire of problem-solving measurement and an educational package of robotic structures in physics. Its validity was confirmed by content validity method by robotics experts and testers and its reliability was achieved 0.95 using Cronbach's alpha. For data analysis, SPSS software was used in two levels of descriptive statistics (indexes of centrality and frequency) and deductive statistics (independent t-test, variance analysis and covariance analysis). Findings: The findings show there is a significant relationship between educational robotic and problem-solving skills, and also, there is no significant relationship between the effect of robotic education on the level of problem-solving skills among girls and boys students. Conclusion: Robotic education has a significant effect on problem solving skills of high school students. The present study, like any other research, has certain limitations such as using only one research instrument, i.e. questionnaire and not using other instruments and geographical and curricular limitations and training costs and robot construction, and need for advanced workshop equipment. There was a lack of original and standard software. Therefore, it is suggested that the present study be conducted in other geographical areas and in other courses and in places with advanced engineering facilities to increase the probability of generalizations. Based on the findings of this study, it is suggested that arrangements be made to investigate the effect of robotics on students' motivation and learning, and to provide accurate information to provide solutions for the correct use of robotics training. In addition, it is suggested that robotics training methods in other countries be considered to promote the effectiveness of robotics training on students.   ===================================================================================== COPYRIGHTS  ©2020 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.  ====================================================================================

Glial cell line-derived neurotrophic factor influences proliferation of osteoblastic cells

Little is known about the role of neurotrophic growth factors in bone metabolism. This study investigated the short-term effects of glial cell line-derived neurotrophic factor (GDNF) on calvarial-derived MC3T3-E1 osteoblasts. MC3T3-E1 expressed GDNF as well as its canonical receptors, GFRα1 and RET. Addition of recombinant GDNF to cultures in serum-containing medium modestly inhibited cell growth at high concentrations; however, under serum-free culture conditions GDNF dose-dependently increased cell proliferation. GDNF effects on cell growth were inversely correlated with its effect on alkaline phosphatase (ALP) activity showing a significant dose-dependent inhibition of relative ALP activity with increasing concentrations of GDNF in serum-free culture medium. Live/dead and lactate dehydrogenase assays demonstrated GDNF did not significantly affect cell death or survival under serum-containing and serum-free conditions. The effect of GDNF on cell growth was abolished in the presence of inhibitors to GFR α 1 and RET indicating that GDNF stimulated calvarial osteoblasts via its canonical receptors. Finally, this study found that GDNF synergistically increased tumor necrosis factor-α (TNF-α)-stimulated MC3T3-E1 cell growth suggesting that GDNF interacted with TNF-α-induced signaling in osteoblastic cells. In conclusion, this study provides evidence for a direct, receptor-mediated effect of GDNF on osteoblasts highlighting a novel role for GDNF in bone physiology. \ud \u

Paracrine-mediated neuroprotection and neuritogenesis of axotomised retinal ganglion cells by human dental pulp stem cells:Comparison with human bone marrow and adipose-derived mesenchymal stem cells

We have investigated and compared the neurotrophic activity of human dental pulp stem cells (hDPSC), human bone marrow-derived mesenchymal stem cells (hBMSC) and human adipose-derived stem cells (hAMSC) on axotomised adult rat retinal ganglion cells (RGC) in vitro in order to evaluate their therapeutic potential for neurodegenerative conditions of RGC. Using the transwell system, RGC survival and length/number of neurites were quantified in coculture with stem cells in the presence or absence of specific Fc-receptor inhibitors to determine the role of NGF, BDNF, NT-3, VEGF, GDNF, PDGF-AA and PDGF-AB/BB in stem cell-mediated RGC neuroprotection and neuritogenesis. Conditioned media, collected from cultured hDPSC/hBMSC/hAMSC, were assayed for the secreted growth factors detailed above using ELISA. PCR array determined the hDPSC, hBMSC and hAMSC expression of genes encoding 84 growth factors and receptors. The results demonstrated that hDPSC promoted significantly more neuroprotection and neuritogenesis of axotomised RGC than either hBMSC or hAMSC, an effect that was neutralized after the addition of specific Fc-receptor inhibitors. hDPSC secreted greater levels of various growth factors including NGF, BDNF and VEGF compared with hBMSC/hAMSC. The PCR array confirmed these findings and identified VGF as a novel potentially therapeutic hDPSC-derived neurotrophic factor (NTF) with significant RGC neuroprotective properties after coculture with axotomised RGC. In conclusion, hDPSC promoted significant multi-factorial paracrine-mediated RGC survival and neurite outgrowth and may be considered a potent and advantageous cell therapy for retinal nerve repair

The Genomes OnLine Database (GOLD) v.4: status of genomic and metagenomic projects and their associated metadata

The Genomes OnLine Database (GOLD, http://www.genomesonline.org/) is a comprehensive resource for centralized monitoring of genome and metagenome projects worldwide. Both complete and ongoing projects, along with their associated metadata, can be accessed in GOLD through precomputed tables and a search page. As of September 2011, GOLD, now on version 4.0, contains information for 11 472 sequencing projects, of which 2907 have been completed and their sequence data has been deposited in a public repository. Out of these complete projects, 1918 are finished and 989 are permanent drafts. Moreover, GOLD contains information for 340 metagenome studies associated with 1927 metagenome samples. GOLD continues to expand, moving toward the goal of providing the most comprehensive repository of metadata information related to the projects and their organisms/environments in accordance with the Minimum Information about any (x) Sequence specification and beyond

Exploring cancer register data to find risk factors for recurrence of breast cancer – application of Canonical Correlation Analysis

BACKGROUND: A common approach in exploring register data is to find relationships between outcomes and predictors by using multiple regression analysis (MRA). If there is more than one outcome variable, the analysis must then be repeated, and the results combined in some arbitrary fashion. In contrast, Canonical Correlation Analysis (CCA) has the ability to analyze multiple outcomes at the same time. One essential outcome after breast cancer treatment is recurrence of the disease. It is important to understand the relationship between different predictors and recurrence, including the time interval until recurrence. This study describes the application of CCA to find important predictors for two different outcomes for breast cancer patients, loco-regional recurrence and occurrence of distant metastasis and to decrease the number of variables in the sets of predictors and outcomes without decreasing the predictive strength of the model. METHODS: Data for 637 malignant breast cancer patients admitted in the south-east region of Sweden were analyzed. By using CCA and looking at the structure coefficients (loadings), relationships between tumor specifications and the two outcomes during different time intervals were analyzed and a correlation model was built. RESULTS: The analysis successfully detected known predictors for breast cancer recurrence during the first two years and distant metastasis 2–4 years after diagnosis. Nottingham Histologic Grading (NHG) was the most important predictor, while age of the patient at the time of diagnosis was not an important predictor. CONCLUSION: In cancer registers with high dimensionality, CCA can be used for identifying the importance of risk factors for breast cancer recurrence. This technique can result in a model ready for further processing by data mining methods through reducing the number of variables to important ones