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The study aims to accurately identify differentially expressed genes (DEGs) and biological pathways in mycobacterial infections through bioinformatics for deeper disease understanding. Differentially expressed genes (DEGs) was explored by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Unique DEGs were submitted on least absolute shrinkage and selection operator (LASSO) regression analysis. 1,057 DEGs from two GSE datasets were identified, which were closely connected with NTM/ latent TB infection (LTBI)/active TB disease (ATB). It was demonstrated that these DEGs are mainly associated with detoxification processes, and virus and bacterial infections. Moreover, the METTL7B gene was the most informative marker for distinguishing LTBI and ATB with an area under the curve (AUC) of 0.983 (95%CI: 0.964 to 1). The significantly upregulated HBA1/2 genes were the most informative marker for distinguishing between individuals of IGRA-HC/NTM and LTBI (P < 0.001). Moreover, the upregulated HBD gene was also differ between IGRA-HC/NTM and ATB (P < 0.001). We have identified gene signatures associated with Mycobacterium infection in whole blood, which could be significant for understanding the molecular mechanisms and diagnosis of NTM, LTBI, or ATB. [ABSTRACT FROM AUTHOR]

Background: To assess the prevalence and epidemic pattern of multidrug-resistant tuberculosis in Hangzhou City, Zhejiang Province, China during 2012-2022., Methods: All the tuberculosis cases undergoing drug susceptibility testing during 2012-2022 were included in this study. De-identified information was extracted from the electronic database Tuberculosis Information Management System for analysis of drug resistance prevalence in Hangzhou and ecdemic multidrug-resistant tuberculosis which originated from other regions. Chi-square tests were used to compare drug resistance rates between different groups, while Chi-square tests for trend were used to evaluate the change of drug resistance rates over the years of 2012-2022. The sources and destinations of ecdemic multidrug-resistant tuberculosis were illustrated using a Sankey diagram., Results: Of 21,127 cases included in this study, 1119 (5.3%) were multidrug-resistant tuberculosis. A significant decline in multidrug-resistant tuberculosis rates was observed during 2012-2022. There was a significant difference in multidrug-resistant tuberculosis rates among immigrant population and local residents in Hangzhou City. Of 1119 multidrug-resistant tuberculosis cases, 515(46%) were ecdemic multidrug-resistant tuberculosis cases, of which 277(53.8%) were from other parts of Zhejiang Province and 238(46.2%) were from other provinces in China. Anhui, Jiangxi and Sichuan were among top three provinces which were the source of ecdemic multidrug-resistant tuberculosis cases. Three districts including Xiaoshan, Shangcheng and Linping districts had the most cases in Hangzhou. The proportion of ecdemic multidrug-resistant tuberculosis cases in Binjiang, Xiaoshan, Qiantang and Linping districtalso exceeded 30% of total cases., Conclusions: Multidrug-resistant tuberculosis prevalence has been declining in Hangzhou. Migrant population contributed to a significant potion of cases in Hangzhou. Interventions should be tailed to local and migrant residents., (© 2024. The Author(s).)