The Role of the Deubiquitylase MYSM1 During Alphavirus Infection Amer Nubgan The members of the genus Alphavirus are positive-sense RNA viruses and it is one of two within the family Togaviridae. Most alphaviruses are predominantly transmitted to susceptible vertebrates by a mosquito vector. Alphavirus disease in humans can be severely debilitating, and depending on the particular viral species, infection may result in encephalitis and possibly life threatening symptoms. Chikungunya virus (CHIKV) is the aetiological agent represents a substantial health burden to affected populations, with clinical symptoms that include severe joint and muscle pain, rashes, and fever, as well as prolonged periods of disability in some patients. In recent years, CHIKV has received significant attention from public health authorities as a consequence of the dramatic emergence infections in the Indian Ocean islands and the Caribbean as well as the recent emergence of CHIKV in the Americas. Infections have also been reported around Europe such as in Italy, France and Greece. Currently, no safe, approved or effective vaccine or treatment exists for CHIKV infection. The ubiquitin-proteasome system (UPS), the major intracellular proteolytic pathway, mediates different kinds of cellular processes, which may be targeted by viruses to aid their replication within cells. In recent years it has been well established that both the forward reaction of ubiquitination, and the reverse reaction of deubiquitination are targeted during virus infection to enhance their replication, either by targeting of cellular proteins or encoding viral homologues of key pathway proteins. The reverse reaction is undertaken by a large family of enzymes termed deubiquitylases or DUBs, and many of these have been shown to play a crucial role, not only in virus replication but also in the regulation of the immune system and vesicle trafficking. The DUBs are attractive drug targets and have increasingly been implicated in cellular processes germane to malignancy which makes the continued characterisation of the role of DUBs during virus infection a worthwhile objective. In on-going experiments in the research group a DUB siRNA pools library screen identified 12 DUBs (USP1, USP4, USP5, USP34, USP45, USP46, OTUD6A, UCHL1, JOSD2, BRCC3 and MYSM1). Depletion of these hits in HeLa cells lead to an increase in cell viability following Semiliki Forest Virus (SFV) infection (and predicted to be pro-viral) and thus could potential be candidate antiviral targets. Inroads into understanding the role of the DUB hits during the alphavirus infection, focusing initial on the BSL2 model virus SFV, and extending this to CHIKV (at BSL3). In the present study, further screening focused on the deconvolution siRNA pools for the DUB hits. Investigation of the subsequent follow up experiments with one strong candidate DUB from this list, MYSM1. Two different approaches were taken. Firstly, the effect of depletion of MYSM1 by siRNA treatment was further investigated in HeLa cells. Secondly, the analysis was extended to investigate the role of MYSM1 in fibroblasts utilising MYSM1 genetic knockout murine embryo fibroblasts. Results from this study indicate that depletion of MYSM1 in HeLa cells by siRNAs resulted in a reduction in both SFV and CHIKV replication, as assayed by measuring RNA levels and plaque formation. It was also found that MYSM1 genetic knockout in MEF cells lead to increase in both SFV and CHIKV replication. In addition, depletion of MYSM1 by siRNAs in MRC-5 cells lead to increase in SFV replication. In conclusion, MYSM1 generated interesting data, implying a role during virus infection that appeared to depend on the cell type being infected. Up to now it is unclear what the effector mechanisms are that contribute to these observations, subject to further mechanistic and functional studies, may increase the options available for targeting this vital DUB during Alphavirus infections.
Parasitic diseases can affect infection with COVID-19 obviously, as protective agents, or by reducing severity of this viral infection. This current review mentions the common symptoms between human parasites and symptoms of COVID-19, and explains the mechanism actions of parasites, which may prevent or reduce severity of this viral infection. Pre-existing parasitic infections provide prohibition against pathogenicity of COVID-19, by altering the balance of gut microbiota that can vary the immune response to this virus infection.
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Human cytomegalovirus (CMV) is the globally highly prevalent herpesvirus worldwide. CMV infects populations of all ages according to the Center for Disease Control and Prevention (CDC) and World Health Organization (WHO). CMV infections remain the most common viral complication potentially multiple in humans and are a major cause of congenital normality in women, which is why they are critical for diagnosis in several times when it happens during pregnancy. Pregnant women with CMV infection can be in charge of abortion or congenital expandaedby. This study involves the collection a total of (90) samples taken from each aborted and pregnant woman (70 with abortion cases and 20 of pregnant without history of abortion as control subjects) r
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Objective(s): To measure serum C-reactive protein (CRP) titer as a predictive diagnosis of acute hepatitis C virus (HCV)
infection.
Methodology: Two hundred and ten patients with acute HCV infection and 234 apparently healthy individuals as
control group were enrolled in this study in Baghdad medical city (Teaching Laboratories). The patents include
74(35.2%) females and 136 (64.8%) males with mean age (27±16.5) years. The control group includes 114 (48.7%)
females and 120 (51.3%) males with mean age (26±5.8) years. Blood samples were collected from out patients from
Alfadul in Baghdad city. Sera were separated and stored at 20 0
C. The diagnosis of acute HCV infection was based on
detection of HC Ag and anti- H
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Hepatitis B virus (HBV) infection is a serious disease of the liver and signifies a major worldwide health concern. HBV Genotyping is vital for further epidemiological study, predicting the disease outcome and response to treatment. The current study aimed to determine hepatitis B virus genotypes in patients with chronic hepatitis B, and to validate possible associations with the baseline characteristics of the disease. A total of 90 patients with chronic hepatitis B infection were enrolled in this study. Liver function tests, hepatitis B virus markers and DNA viral load were done using routine standardized procedures. HBV genotyping was performed using real time PCR. Genotype D was the most predominant in 64 (71.1%) of samples, while
... Show MoreThis study was aimed to investigate the association between thyroid disorder and Helicobacter pylori infection in 122 patients (100 females and 22 males )and for comparison, 60 healthy individuals (31females and 29 males),who had no thyroid disorder, were also included in the study. Blood samples were collected from both patients and the healthier individuals. Enzyme Linked Fluorescent Assay (ELFA) technique through using Vitek Immuno Diagnostic Assay System (VIDAS) was applied to measure levels of the thyroid hormones (tri-iodothyronine T3, tetra-iodothyroxine T4) and thyroid stimulating hormone (TSH). From the results obtained, patients were classified into three groups: 40 were
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Background: In the present study used device jet plasma needle with atmospheric pressure which generates non thermal plasma jet to measure treatment potent with plasma against pathogenic bacteria founded in UTI was inactivated with plasma at 10 sec,
Objective:. This work included the application of the plasma produced from the system in the field of bacterial sterilization , where sample of Gram- negative bacteria (Escherichia coli) were exposed to intervals (1-10)second . Midstream Urine samples swabs were obtained from patients with urinary tract infections.
Type of the study: Cross -sectional study.
Methods: The work were used i
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With its rapid spread, the coronavirus infection shocked the world and had a huge effect on billions of peoples' lives. The problem is to find a safe method to diagnose the infections with fewer casualties. It has been shown that X-Ray images are an important method for the identification, quantification, and monitoring of diseases. Deep learning algorithms can be utilized to help analyze potentially huge numbers of X-Ray examinations. This research conducted a retrospective multi-test analysis system to detect suspicious COVID-19 performance, and use of chest X-Ray features to assess the progress of the illness in each patient, resulting in a "corona score." where the results were satisfactory compared to the benchmarked techniques. T
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