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1.
BMC Microbiol ; 22(1): 138, 2022 05 19.
Artigo em Inglês | MEDLINE | ID: mdl-35590243

RESUMO

BACKGROUND: High burden of drug-resistant (DR) tuberculosis (TB) is a significant threat to national TB control programs all over the world and in the Russian Federation. Different Mycobacterium tuberculosis (MTB) genotypes are hypothesized to have specific characteristics affecting TB control programs. For example, Beijing strains are supposed to have higher mutation rates compared to strains of other genotypes and subsequently higher capability to develop drug-resistance. RESULTS: Clinical MTB isolates from HIV- and HIV+ patients from four regions of Russia were analyzed for genotypes and mutations conferring resistance to Isoniazid, Rifampicin, Ethambutol, aminoglycosides, and fluoroquinolones. Analysis of genotypes and polymorphism of genomic loci according to the HIV status of the patients - sources of MTB isolates were performed. Studied MTB isolates from HIV- TB patients belonged to 15 genotypes and from HIV + TB patients - to 6 genotypes. Beijing clinical isolates dominated in HIV- (64,7%) and HIV+ (74,4%) groups. Other isolates were of LAM (including LAM1 and LAM9), Ural, and 4 minor groups of genotypes (including 5 subclones T). The spectrum of genotypes in the HIV- group was broader than in the HIV+ group. PR of B0/W148 Beijing was significantly lower than of other Beijing genotypes in susceptible and MDR-XDR isolates. Rates of isolates belonging to non-Beijing genotypes were higher than Beijing in susceptible isolates from HIV- patients. CONCLUSIONS: Beijing genotype isolates prevailed in clinical isolates of all drug susceptibility profiles both from HIV- and HIV+ patients, although B0/W148 Beijing genotype did not dominate in this study. Genome loci and mutations polymorphisms were more pronounced in clinical isolates from HIV- patients, than from HIV+.


Assuntos
Infecções por HIV , Mycobacterium tuberculosis , Tuberculose Resistente a Múltiplos Medicamentos , Tuberculose , Antituberculosos/farmacologia , Farmacorresistência Bacteriana Múltipla/genética , Genótipo , Infecções por HIV/complicações , Infecções por HIV/tratamento farmacológico , Humanos , Federação Russa/epidemiologia , Tuberculose/epidemiologia , Tuberculose/microbiologia , Tuberculose Resistente a Múltiplos Medicamentos/epidemiologia , Tuberculose Resistente a Múltiplos Medicamentos/microbiologia
2.
Am J Respir Crit Care Med ; 191(4): 372-6, 2015 Feb 15.
Artigo em Inglês | MEDLINE | ID: mdl-25679104

RESUMO

The history of the Russian tuberculosis (TB) program, dating from the second part of the 19th century until today, is presented, and its achievements and failures are analyzed. The epidemiology of TB is described, and the effects of the TB program initiatives are described and analyzed. Multidrug-resistant TB and HIV coinfection represent severe threats to TB control effectiveness in Russia. New TB control strategies in the present-day epidemiological climate call for important shifts in TB facilities' networking, diagnosis, and treatment approaches.


Assuntos
Tuberculose/história , História do Século XIX , História do Século XX , História do Século XXI , Humanos , Federação Russa/epidemiologia , Tuberculose/diagnóstico , Tuberculose/epidemiologia , Tuberculose/terapia
3.
BMC Genomics ; 15: 308, 2014 Apr 25.
Artigo em Inglês | MEDLINE | ID: mdl-24767249

RESUMO

BACKGROUND: Tuberculosis (TB) poses a worldwide threat due to advancing multidrug-resistant strains and deadly co-infections with Human immunodeficiency virus. Today large amounts of Mycobacterium tuberculosis whole genome sequencing data are being assessed broadly and yet there exists no comprehensive online resource that connects M. tuberculosis genome variants with geographic origin, with drug resistance or with clinical outcome. DESCRIPTION: Here we describe a broadly inclusive unifying Genome-wide Mycobacterium tuberculosis Variation (GMTV) database, (http://mtb.dobzhanskycenter.org) that catalogues genome variations of M. tuberculosis strains collected across Russia. GMTV contains a broad spectrum of data derived from different sources and related to M. tuberculosis molecular biology, epidemiology, TB clinical outcome, year and place of isolation, drug resistance profiles and displays the variants across the genome using a dedicated genome browser. GMTV database, which includes 1084 genomes and over 69,000 SNP or Indel variants, can be queried about M. tuberculosis genome variation and putative associations with drug resistance, geographical origin, and clinical stages and outcomes. CONCLUSIONS: Implementation of GMTV tracks the pattern of changes of M. tuberculosis strains in different geographical areas, facilitates disease gene discoveries associated with drug resistance or different clinical sequelae, and automates comparative genomic analyses among M. tuberculosis strains.


Assuntos
Bases de Dados Genéticas , Variação Genética , Genoma Bacteriano , Mycobacterium tuberculosis/genética , Tuberculose/epidemiologia , Humanos , Tuberculose/microbiologia
4.
Am J Transl Res ; 9(4): 1962-1976, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-28469803

RESUMO

Mycobacterium tuberculosis (Mtb) infection has been regional outbreak, recently. The traditional focus on the patterns of "reductionism" which was associated with single molecular changes has been unable to meet the demand of early diagnosis and clinical application when current tuberculosis infection happened. In this study, we employed a systems biology approach to collect large microarray data sets including mRNAs and microRNAs (miRNAs) to identify the differentially expressed mRNAs and miRNAs in the whole blood of TB patients. The aim was to identify key genes associated with the immune response in the pathogenic process of tuberculosis by analyzing the co-regulatory network that was consisted of transcription factors and miRNAs as well as their target genes. The network along with their co-regulatory genes was analyzed utilizing Transcriptional Regulatory Element Database (TRED) and Database for Annotation, Visualization and Integrated Discovery (DAVID). We got 21 (19 up-regulated and 2 down-regulated) differentially expressed genes that were co-regulated by transcription factors and miRNAs. KEGG pathway enrichment analysis showed that the 21 differentially expressed genes were predominantly involved in Tuberculosis signaling pathway, which may play a major role in tuberculosis biological process. Quantitative real-time PCR was performed to verify the over expression of co-regulatory genes (FCGR1A and CEBPB). The genetic expression was correlated with clinicopathological characteristics in TB patients and inferences drawn. Our results suggest the TF-miRNA gene co-regulatory network may help us further understand the molecular mechanism of immune response to tuberculosis and provide us a new angle of future biomarker and therapeutic targets.

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