15 research outputs found

    RNAi and miRNA in viral infections and cancers

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    Since the first report of RNA interference (RNAi) less than a decade ago, this type of molecular intervention has been introduced to repress gene expression in vitro and also for in vivo studies in mammals. Understanding the mechanisms of action of synthetic small interfering RNAs (siRNAs) underlies use as therapeutic agents in the areas of cancer and viral infection. Recent studies have also promoted different theories about cell-specific targeting of siRNAs. Design and delivery strategies for successful treatment of human diseases are becomingmore established and relationships between miRNA and RNAi pathways have been revealed as virus-host cell interactions. Although both are well conserved in plants, invertebrates and mammals, there is also variabilityand a more complete understanding of differences will be needed for optimal application. RNA interference (RNAi) is rapid, cheap and selective in complex biological systems and has created new insight sin fields of cancer research, genetic disorders, virology and drug design. Our knowledge about the role of miRNAs and siRNAs pathways in virus-host cell interactions in virus infected cells is incomplete. There are different viral diseases but few antiviral drugs are available. For example, acyclovir for herpes viruses, alpha-interferon for hepatitis C and B viruses and anti-retroviral for HIV are accessible. Also cancer is obviously an important target for siRNA-based therapies, but the main problem in cancer therapy is targeting metastatic cells which spread from the original tumor. There are also other possible reservations and problems that might delay or even hinder siRNA-based therapies for the treatment of certain conditions; however, this remains the most promising approach for a wide range of diseases. Clearly, more studies must be done to allow efficient delivery and better understanding of unwanted side effects of siRNA-based therapies. In this review miRNA and RNAi biology, experimental design, anti-viral and anti-cancer effects are discussed

    RNAi and miRNA in Viral Infections and Cancers

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    Since the first report of RNA interference (RNAi) less than a decade ago, this type of molecular intervention has been introduced to repress gene expression in vitro and also for in vivo studies in mammals. Understanding the mechanisms of action of synthetic small interfering RNAs (siRNAs) underlies use as therapeutic agents in the areas of cancer and viral infection. Recent studies have also promoted different theories about cell-specific targeting of siRNAs. Design and delivery strategies for successful treatment of human diseases are becomingmore established and relationships between miRNA and RNAi pathways have been revealed as virus-host cell interactions. Although both are well conserved in plants, invertebrates and mammals, there is also variabilityand a more complete understanding of differences will be needed for optimal application. RNA interference (RNAi) is rapid, cheap and selective in complex biological systems and has created new insight sin fields of cancer research, genetic disorders, virology and drug design. Our knowledge about the role of miRNAs and siRNAs pathways in virus-host cell interactions in virus infected cells is incomplete. There are different viral diseases but few antiviral drugs are available. For example, acyclovir for herpes viruses, alpha-interferon for hepatitis C and B viruses and anti-retroviral for HIV are accessible. Also cancer is obviously an important target for siRNA-based therapies, but the main problem in cancer therapy is targeting metastatic cells which spread from the original tumor. There are also other possible reservations and problems that might delay or even hinder siRNA-based therapies for the treatment of certain conditions; however, this remains the most promising approach for a wide range of diseases. Clearly, more studies must be done to allow efficient delivery and better understanding of unwanted side effects of siRNA-based therapies. In this review miRNA and RNAi biology, experimental design, anti-viral and anti-cancer effects are discussed

    Effects of Morphine dependency on bone healing in rat

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    Bone fractures usually happen during car accident and sport trauma. Different factors influence bone healing such as malnutrition and smoking. Apart from addiction, which is an important individual, social, and cultural problems morphine has several effects on body physiology and immune system. This study is performed to assess the effect of morphine dependency on bone healing and has not been reported in the literature till now. 56 rats were divided into two 28-rat groups and were kept under equal laboratory conditions, Rat of the control group were not addicted. By adding morphine powder to the water of the other group for 21 days, they got addicted and were used as case group. Following intraperitoneal naloxone injection and confirming addiction in addicted group a hole was made in tibia of both groups. Biopsies were taken on the 3rd, 6th, 10th and 20th day from 7 addicted and 7 non-addicted rats. Then the results of microscopic examination were statistically analyzed with Mann-Whitney test. The difference between neutrophilic exudates (P=0.002) and granulation tissue (P=0.003) on the 3rd day, percent of neutrophilic exudates (P=0.01) and immature bone (P=0.004) on the 6th day, percent of immature (P=0.001) and mature bone (P=0.02) on the 10th day and mesenchymal tissue (P=0.02) on the 20th day was significant. It was concluded that bone healing was delayed in the addicted group. Keywords: Fracture, Morphine, Dependency, Bone healing, Ra

    Musculoskeletal Disorders as Common Problems among Iranian Nurses: A Systematic Review and Meta-analysis Study

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    Background: Considering the importance of musculoskeletal disorders (MSDs) as one of the health consequences of job stress among nurses and significant contradictions in prevalence in different parts of the body, this study was carried out to determine the prevalence of MSDs among Iranian nurses. Methods: All published studies from June 2000 until June 2015 were considered in reliable databases such as PubMed, Google Scholar, Google search, Scopus, ScienceDirect, and Persian databases such as SID, Iran Medex, and Magiran. These studies, after quality control, were entered into meta-analysis using the random effects model, a total of 41 papers were assessed between 2004 and 2015. Results: The prevalence rate of these disorders was 60.98%, 47.76%, 46.53%, 44.64%, 42.8%, 36.8%, 24.61%, and 17.5%, respectively, obtained for the back, neck, knees, upper back, ankles, shoulders, hands, hips, thighs, and elbows. Prevalence of MSDs will lead to high costs of medical, absenteeism from work, or even unemployment. Conclusions: Due to high prevalence of these disorders among Iranian nurses, providing effective training in the field of ergonomics and undergoing appropriate exercises are necessary to control it

    COVID‐19 vaccination in children as a global dilemma through an ethical lens: A retrospective review

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    Abstract Background and Aims COVID‐19 pandemic led to a need to rapidly vaccinate as many people as possible. Children are an important part of the population with different characteristics which vaccinating them is a matter of great importance as it should be decided considering all aspects and ethics. Here, we present different aspects of COVID vaccination in children including the potential challenges. Methods We searched on PubMed, Google Scholar and Scopus in this regard, and all of the relevant papers published until June 28, 2021 were included if we could access their full‐texts. Results We found various expert opinions in this regard and tried to summarized them. Saving lives has similar ethical value as preventing evitable adverse event. Accordingly, mandating the children to receive the SARS‐CoV‐2 vaccine, needs risk‐benefit weighing with special consideration of ethical challenges. Conclusion Considering the vast range of benefits resulted from pediatric vaccination both for the children and the community, implementing the program in a scientific manner and also with the least financial expenses for the families seems to be reasonable and makes it both ethical and moral

    Application of machine learning in predicting non-alcoholic fatty liver disease using anthropometric and body composition indices

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    Abstract Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, which can progress from simple steatosis to advanced cirrhosis and hepatocellular carcinoma. Clinical diagnosis of NAFLD is crucial in the early stages of the disease. The main aim of this study was to apply machine learning (ML) methods to identify significant classifiers of NAFLD using body composition and anthropometric variables. A cross-sectional study was carried out among 513 individuals aged 13 years old or above in Iran. Anthropometric and body composition measurements were performed manually using body composition analyzer InBody 270. Hepatic steatosis and fibrosis were determined using a Fibroscan. ML methods including k-Nearest Neighbor (kNN), Support Vector Machine (SVM), Radial Basis Function (RBF) SVM, Gaussian Process (GP), Random Forest (RF), Neural Network (NN), Adaboost and Naïve Bayes were examined for model performance and to identify anthropometric and body composition predictors of fatty liver disease. RF generated the most accurate model for fatty liver (presence of any stage), steatosis stages and fibrosis stages with 82%, 52% and 57% accuracy, respectively. Abdomen circumference, waist circumference, chest circumference, trunk fat and body mass index were among the most important variables contributing to fatty liver disease. ML-based prediction of NAFLD using anthropometric and body composition data can assist clinicians in decision making. ML-based systems provide opportunities for NAFLD screening and early diagnosis, especially in population-level and remote areas
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