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BackgroundThe genus Mycobacterium comprises different species, among them the most contagious and infectious bacteria. The members of the complex Mycobacterium tuberculosis are the most virulent microorganisms that have killed human and other mammals since millennia. Additionally, with the many different mycobacterial sequences available, there is a crucial need for the visualization and the simplification of their data. In this present study, we aim to highlight a comparative genome, proteome and phylogeny analysis between twenty-one mycobacterial (Tuberculosis and non tuberculosis) strains using a set of computational and bioinformatics tools (Pan and Core genome plotting, BLAST matrix and phylogeny analysis).ResultsConsiderably the result of pan and core genome Plotting demonstrated that less than 1250 Mycobacterium gene families are conserved across all species, and a total set of about 20,000 gene families within the Mycobacterium pan-genome of twenty one mycobacterial genomes.Viewing the BLAST matrix a high similarity was found among the species of the complex Mycobacterium tuberculosis and less conservation is found with other slow growing pathogenic mycobacteria.Phylogeny analysis based on both protein conservation, as well as rRNA clearly resolve known relationships between slow growing mycobacteria.ConclusionMycobacteria include important pathogenic species for human and animals and the Mycobacterium tuberculosis complex is the most cause of death of the humankind. The comparative genome analysis could provide a new insight for better controlling and preventing these diseases.

Background Gastric cancer (GC) is one of the leading causes of morbidity and mortality worldwide. The onset and progression of gastric cancer are attributed to numerous triggers, these triggers may be infection of the gastric epithelium by Helicobacter pylori ( H. pylori ), or by Epstein-Barr virus (EBV). Both agents can establish a lifelong persistent infection in the host, leading to chronic inflammation, which also contributes to cancer development. Objective: The objective of this study is to present the status of co-infection with H. pylori and EBV and the risk of developing adenocarcinoma at an early age in the population of Grand Casablanca. Methods In this study, 100 gastric tissue samples from patients with gastric cancer were examined for detection of H. pylori and EBV in tumor tissue using PCR techniques, and the clinical relevance was statistically analyzed. Results Results revealed an individual Epstein-Barr virus (EBV) infection observed in (40 %) of gastric carcinoma cases. Furthermore, the frequency of EBV infection was significantly different with intestinal and diffuse gastric cancer types [15 % vs. 85 %; <0.05]. The prevalence of individual H. pylori infections was 34 %, while the frequency of co-infection was 16 %. Moreover, no significant association was found between co-infection and sex, tumor grade, stage, and lymph node metastasis, but there was a significant association between co-infection and the age of GC patients. Conclusion Thus understanding the status of co-infection could clarify the process of gastric carcinogenesis, and application of this knowledge for clinical purposes could facilitate diagnosis, risk management, and prevention.

DNA methylation is the main epigenetic event for gene silencing and is associated with carcinogenesis. In this meta-analysis, we evaluated the association between the methylation of the promoter regions of APC, CADM1, CCNA1, CDH1, DAPK, FHIT, HIC1, MAL, MGMT, hMLH1, P16, PAX1, RAR-β, and RASSF1 genes and the risk of cervical cancer development and progression. Overall, 194 eligible studies were identified assessing the associations of promoter methylation status of aforementioned genes with low- and high-grade squamous intraepithelial lesions (LSIL and HSIL) and cervical cancer development. The majority of studies were conducted on Caucasian and Asian populations, whereas rare studies were available on the African population. Promoter methylation frequencies were shown to be significantly higher in LSIL and HSIL cervical cancer cases as compared to control specimens for CADM1, CCNA1, CDH1, DAPK1, FHIT, MAL, P16, PAX1, RAR-β, and RASSF1 genes. A moderate association was found between HIC promoter methylation, whereas APC, MGMT, and hMLH1 promoter methylation was not correlated with cervical cancer development. Promoter methylation could be considered as a noninvasive biomarker for early cervical lesions, making them highly promising targets for a personalized therapeutic approach.

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