11 research outputs found

    The dysbiosis signature of Fusobacterium nucleatum in colorectal cancer-cause or consequences? A systematic review

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    Colorectal cancer (CRC) is the third most common cause of cancer globally and the fourth attributable cause of mortality and morbidity due to cancer. An emerging factor contributing to CRC is the gut microbiota and the cellular changes associated with it. Further insights on this may help in the prevention, diagnosis and new therapeutic approaches to colorectal cancer. In most cases of CRC, genetic factors appear to contribute less to its aetiology than environmental and epigenetic factors; therefore, it may be important to investigate these environmental factors, their effects, and the mechanisms that may contribute to this cancer. The gut microbiota has recently been highlighted as a potential risk factor that may affect the structural components of the tumor microenvironment, as well as free radical and enzymatic metabolites directly, or indirectly. Many studies have reported changes in the gut microbiota of patients with colorectal cancer. What is controversial is whether the cancer is the cause or consequence of the change in the microbiota. There is strong evidence supporting both possibilities. The presence of Fusobacterium nucleatum in human colorectal specimens has been demonstrated by RNA-sequencing. F. nucleatum has been shown to express high levels of virulence factors such as FadA, Fap2 and MORN2 proteins. Our review of the published data suggest that F. nucleatum may be a prognostic biomarker of CRC risk, and hence raises the potential of antibiotic treatment of F. nucleatum for the prevention of CRC

    Evaluation of the Escherichia coli (E.coli) Strains based on protein profiles obtained from traditional Ice cream in Isfahan City

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    Introduction: Bacterial strains present in food products undergo different thermal processes such as coldness and warmth. Such cases cause a shock in bacteria and force the bacteria to produce proteins and partly, develop a change in the production of enzyme. This can give the strain a special characteristic, knowledge of this characteristic will contribute to a timely and more precise identification. Materials and methods: During this time more than 100 samples have been examined, out of which, 48 Indol positive isolation samples were examined by phenotypic tests and sodium dodecyle sulphate polyacrylamide gel electrophoresis (SDS- PAGE). Results: – The results of numerical analysis of phenotypic characteristics and protein patterns showed that only 79% of the collected isolates (phenon 1 and 2) could be identified as E.coli compared with reference strains. E.coli strains from ice creams were showed some Variation in banding patterns. Major differences were observed in protein bands between 23.59 - and 20.79 -kDa molecular mass range which the isolates were compared with reference strains. Discussion and conclusion: Our study concluded that food’s bacterial strains are influenced by temperatures in different processes and also it could stimulate the production of proteins or change the enzymes. Therefore, The reason of taking care of the issues is that changes in the proteins’ structures can lead to change in the biochemical properties, and finally this change can misguide us. Further research is being performed to characterize these atypical strains by molecular methods

    Expression of OX40 Gene and its Serum Levels in Neuromyelitis Optica Patients

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    Neuromyelitis optica (NMO), also known as Devic’s disease, is an autoimmune disorder of the central nervous system (CNS) in which immune system cells and antibodies primarily attack the optic nerves and the spinal cord. OX40 (CD134) is a tumor necrosis factor (TNF)-receptor family member expressed primarily on activated CD4+ and CD8+ T-cells. In an autoimmune disease, OX40 is typically up-regulated at sites of inflammation, and increases in the number of peripheral CD4+ T-cells expressing OX40. OX40 and its ligand OX40L are key TNF members that augment T-cell expansion, cytokine production, and promote T-cell survival. The aim of this study was to evaluate and compare of OX40 gene expression and its serum levels in patients with NMO and healthy controls. Twenty sex-/age-matched healthy controls (HC) (median age = 32 years, 15 females/5 males) were engaged for the present study. Expression of OX40 at the transcript level and serum protein levels were measured by quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assays, respectively. The results indicated OX40 expression in patients was significantly lower than in healthy controls (p = 0.001). However, the serum level of OX40 was not significantly different between groups (p = 0.37). In addition, the results indicated that CD134 expression was not age-related (p = 0.041). Overall, this study suggests to us that OX40 levels are not a suitable marker for diagnosis or treatment of NMO

    An integrated bioinformatics analysis of the potential regulatory effects of mir-21 on t-cell related target genes in multiple sclerosis

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    Background Overexpression of miR-21 is a characteristic feature of patients with Multiple Sclerosis (MS) and is involved in gene regulation and the expression enhance-ment of pro-inflammatory factors including IFNγ and TNF-α following stimulation of T-cells via the T Cell Receptor (TCR). In this study, a novel integrated bioinformatics analysis was used to obtain a better understanding of the involvement of miR-21 in the development of MS, its protein biomarker signatures, RNA levels, and drug interactions through existing microarray and RNA-seq datasets of MS. Methods In order to obtain data on the Differentially Expressed Genes (DEGs) in patients with MS and normal controls, the GEO2R web tool was used to analyze the Gene Expression Omnibus (GEO) datasets, and then Protein-Protein Interaction (PPI) networks of co-expressed DEGs were designed using STRING. A molecular network of miRNA-genes and drugs based on differentially expressed genes was created for T-cells of MS patients to identify the targets of miR-21, that may act as important regu-lators and potential biomarkers for early diagnosis, prognosis and, potential therapeutic targets for MS. Results It found that seven genes (NRIP1, ARNT, KDM7A, S100A10, AK2, TGFβR2, and IL-6R) are regulated by drugs used in MS and miR-21. Finally, three overlapping genes (S100A10, NRIP1, KDM7A) were identified between miRNA-gene-drug network and nineteen genes as hub genes which can reflect the pathophysiology of MS. Conclusion Our findings suggest that miR-21 and MS-related drugs can act synergisti-cally to regulate several genes in the existing datasets, and miR-21 inhibitors have the potential to be used in MS treatment

    OX40 Gene and Serum Protein Expression Profiles in Patients with Parkinson’s Disease

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    Objective: Inflammation of the immune system and the central nervous system has been known as an important predisposing factor for Parkinson’s disease (PD). Increased expression of OX40 protein (CD134) is a known factor for increased inflammation and initiation of NF-kappa-B signaling pathway in different diseases. We aimed to investigate the expression of OX40 at the transcript and serum protein levels. Materials and Methods: Twenty individuals with PD and 20 healthy individuals, as controls, were enrolled in this casecontrol study. Expression of OX40 at the transcript level and serum protein levels were measured by quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assays respectively. Results: The mean expression level of OX40 was increased in patients but not at a significant level (P>0.05). Consistently, the mean serum concentration of OX40 showed a mild, but non-significant, increase in the patients (P>0.05). Conclusion: We conclude that OX40 expression at either the transcript or protein level has no diagnostic utility in asymptomatic PD. This shows the need for clinical, cellular and interventional research to detect new robust biomarkers

    Screening of potential inhibitors of COVID-19 with repurposing approach via molecular docking

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    SARS-CoV-2 (COVID-19) is the causative organism for a pandemic disease with a high rate of infectivity and mortality. In this study, we aimed to assess the affinity between several available small molecule and proteins, including Abl kinase inhibitors, Janus kinase inhibitor, dipeptidyl peptidase 4 inhibitors, RNA-dependent RNA polymerase inhibitors, and Papain-like protease inhibitors, using binding simulation, to test whether they may be effective in inhibiting COVID-19 infection through several mechanisms. The efficiency of inhibitors was evaluated based on docking scores using AutoDock Vina software. Strong ligand–protein interactions were predicted among some of these drugs, that included: Imatinib, Remdesivir, and Telaprevir, and this may render these compounds promising candidates. Some candidate drugs might be efficient in disease control as potential inhibitors or lead compounds against the SARS-CoV-2. It is also worth highlighting the powerful immunomodulatory role of other drugs, such as Abivertinib that inhibits pro-inflammatory cytokine production associated with cytokine release syndrome (CRS) and the progression of COVID-19 infection. The potential role of other Abl kinase inhibitors, including Imatinib in reducing SARS-CoV and MERS-CoV viral titers, immune regulatory function and the development of acute respiratory distress syndrome (ARDS), indicate that this drug may be useful for COVID-19, as the SARS-CoV-2 genome is similar to SARS-CoV
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