'Lethal' combination of Mycobacterium tuberculosis Beijing genotype and human CD209 -336G allele in Russian male population

Role of pattern recognition receptors in sensing Mycobacterium tuberculosis

Mycobacterium tuberculosis is one of the major invasive intracellular pathogens causing most deaths by a single infectious agent. The interaction between host immune cells and this pathogen is the focal point of the disease, Tuberculosis. Host immune cells not only mount the protective action against this pathogen but also serve as the primary niche for growth. Thus, recognition of this pathogen by host immune cells and following signaling cascades are key dictators of the disease state. Immune cells, mainly belonging to myeloid cell lineage, recognize a wide variety of Mycobacterium tuberculosis ligands ranging from carbohydrate and lipids to proteins to nucleic acids by different membrane-bound and soluble pattern recognition receptors. Simultaneous interaction between different host receptors and pathogen ligands leads to immune-inflammatory response as well as contributes to virulence. This review summarizes the contribution of pattern recognition receptors of host immune cells in recognizing Mycobacterium tuberculosis and subsequent initiation of signaling pathways to provide the molecular insight of the specific Mtb ligands interacting with specific PRR, key adaptor molecules of the downstream signaling pathways and the resultant effector functions which will aid in identifying novel drug targets, and developing novel drugs and adjuvants.

Disease phenotypic and geospatial features vary across genetic lineages for Tuberculosis within Arkansas, 2010-2020

Tuberculosis (TB) elimination in the United States remains elusive, and community-specific, localized intervention strategies may be necessary to meet elimination goals. A better understanding of the genotypic diversity of Mtb, the population subgroups affected by different TB strains, and differences in disease presentation associated with these strains can aid in identifying risk groups and designing tailored interventions. We analyze TB incidence and genotype data from all Arkansas counties over an 11-year time span from 2010 through 2020. We use statistical methods and geographic information systems (GIS) to identify demographic and disease phenotypic characteristics that are associated with different Mtb genetic lineages in the study area. We found the following variables to be significantly associated with genetic lineage (p<0.05): patient county, patient birth country, patient ethnicity, race, IGRA result, disease site, chest X-ray result, whether or not a case was identified as part of a cluster, patient age, occupation risk, and date arrived in the US. Different Mtb lineages affect different subpopulations in Arkansas. Lineage 4 (EuroAmerican) and Lineage 2 (East Asian) are most prevalent, although the spatial distributions differ substantially, and lineage 2 (East Asian) is more frequently associated with case clusters. The Marshallese remain a particularly high-risk group for TB in Arkansas.

Use of Whole-Genome Sequencing to Explore Mycobacterium tuberculosis Complex Circulating in a Hotspot Department in France

The Seine-Saint-Denis is the French metropolitan department with the highest incidence of tuberculosis (TB). Our aim was to explore epidemiological and phylogenetic characteristics of TB strains in this hotspot department. We performed WGS on 227 strains of Mycobacterium tuberculosis complex isolated from patients at the Avicenne Hospital from 2016 to 2021 and randomly selected to represent the clinical diversity of French TB localization. Clinical and demographic data were recorded for each TB patient. The mean age of patients was 36 years old. They came from Africa (44%), Asia (27%), Europe (26%) and America (3%). Strains isolated from extrapulmonary samples were associated with Asian patients, whereas strains isolated from pulmonary samples were associated with European patients. We observed a high level of lineage diversity in line with the known worldwide diversity. Interestingly, lineage 3 was associated with lymph node TB. Additionally, the sensitivity of WGS for predicting resistance was 100% for rifampicin, isoniazid and ethambutol and 66.7% for pyrazinamide. The global concordance with drug-susceptibility testing using the phenotypic approach was 97%. In microbiology laboratories, WGS turns out to be an essential tool for better understanding local TB epidemiology, with direct access to circulating lineage identification and to drug susceptibilities to first- and second-line anti-TB drugs.

Transborder molecular analysis of drug-resistant tuberculosis in Mongolia and Eastern Siberia, Russia

Eastern Siberia (Russia) and Mongolia are borderline regions in Asia with a high incidence of tuberculosis (TB). In this study, we investigated the transborder transmission of Mycobacterium tuberculosis with a focus on endemic and epidemic clones and drug resistance. M. tuberculosis isolates (287 from Mongolia and 754 from Russia) were collected using cross-sectional population-based surveys between 2010 and 2016. The isolates were genotyped using 24 variable number of tandem repeat (VNTR) loci and by testing of the key markers to discriminate within the Beijing genotype. All isolates were divided into 427 MIRU-types that were assigned to Lineage 2 (Beijing) and Lineage 4 (Ural, Haarlem, Latin American-Mediterranean [LAM], S, unclassified). The Beijing genotype was dominant in both countries (69% in Russia, 75% in Mongolia). However, the Beijing isolates differed significantly between the countries, in terms of the identified subtypes. LAM was the most common non-Beijing genotype (11.1% in Mongolia and 14.9% in Russia) and LAM isolates mostly belonged to the LAM-RUS branch in both countries. The MDR rate was higher in Russia than in Mongolia among newly diagnosed patients: 29.4% versus 5.6% (p < 0.001). In Mongolia, the MDR rate was similar in Beijing (29.7%) and non-Beijing (27.5%) genotypes. In Russia, a higher MDR rate was observed in (i) Beijing compared to non-Beijing (48.7% versus 38.3%, p = 0.03) and (ii) Beijing B0/W148 compared to Beijing Central Asian/Russian (63.4% versus 37.3%, p<0.001). In conclusion, the M. tuberculosis population structure in Mongolia was shaped by mainly historical interaction with China (dominance of the Beijing genotype) and Northern Eurasia (presence of the LAM-RUS branch). In contrast, the transborder transmission of M. tuberculosis since the 1990s between Mongolia and its neighbors has been negligible, and the adverse trends of MDR-TB in Russia did not impact the current situation in Mongolia. This article is protected by copyright. All rights reserved.

Infection outcome needs two to tango: human host and the pathogen

Infectious diseases are potential drivers for human evolution, through a complex, continuous and dynamic interaction between the host and the pathogen/s. It is this dynamic interaction that contributes toward the clinical outcome of a pathogenic disease. These are modulated by contributions from the human genetic variants, transcriptional response (including noncoding RNA) and the pathogen’s genome architecture. Modern genomic tools and techniques have been crucial for the detection and genomic characterization of pathogens with respect to the emerging infectious diseases. Aided by next-generation sequencing (NGS), risk stratification of host population/s allows for the identification of susceptible subgroups and better disease management. Nevertheless, many challenges to a general understanding of host–pathogen interactions remain. In this review, we elucidate how a better understanding of the human host-pathogen interplay can substantially enhance, and in turn benefit from, current and future applications of multi-omics based approaches in infectious and rare diseases. This includes the RNA-level response, which modulates the disease severity and outcome. The need to understand the role of human genetic variants in disease severity and clinical outcome has been further highlighted during the Coronavirus disease 2019 (COVID-19) pandemic. This would enhance and contribute toward our future pandemic preparedness.

Innate Immune Pattern Recognition Receptors of Mycobacterium tuberculosis: Nature and Consequences for Pathogenesis of Tuberculosis

Innate immunity against Mycobacterium tuberculosis is a critical early response to prevent the establishment of the infection. Despite recent advances in understanding the host-pathogen dialogue in the early stages of tuberculosis (TB), much has yet to be learnt. The nature and consequences of this dialogue ultimately determine the path of infection: namely, either early clearance of M. tuberculosis, or establishment of M. tuberculosis infection leading to active TB disease and/or latent TB infection. On the frontline in innate immunity are pattern recognition receptors (PRRs), with soluble factors (e.g. collectins and complement) and cell surface factors (e.g. Toll-like receptors and other C-type lectin receptors (Dectin 1/2, Nod-like receptors, DC-SIGN, Mincle, mannose receptor, and MCL) that play a central role in recognising M. tuberculosis and facilitating its clearance. However, in a 'double-edged sword' scenario, these factors can also be involved in enhancement of pathogenesis as well. Furthermore, innate immunity is also a critical bridge in establishing the subsequent adaptive immune response, which is also responsible for granuloma formation that cordons off M. tuberculosis infection, establishing latency and acting as a reservoir for bacterial persistence and dissemination of future disease. This chapter discusses the current understanding of pattern recognition of M. tuberculosis by innate immunity and the role this plays in the pathogenesis and protection against TB.

Personalized Approach as a Basis for the Future Diagnosis of Tuberculosis (Literature Review)

The global spread of tuberculosis remains one of actual problems of public health despite of introduction of public health safety programs. Early, rapid and accurate identification of M. tuberculosis and determination of drug susceptibility are essential for treatment and management of this disease. Delay in delivering results prolongs potentially inappropriate antituberculosis therapy, contributing to emergence of drug resistance, reducing treatment options and increasing treatment duration and associated costs, resulting in increased mortality and morbidity. Faster, more comprehensive diagnostics will enable earlier use of the most appropriate drug regimen, thus improving patient outcomes and reducing overall healthcare costs. The treatment of infection based on the using of massive antimicrobial therapy with analysis of bacterial strains resistance to first line drugs (FLD) isoniazid (INH), rifampin (RIF), pyrazinamide (PZA), ethambutol (EMB) and streptomycin (SM). However, the public health practitioners pay no attention to functional activity of human immune system genes. The interaction of bacterial genomes and immune system genes plays the major role in infection progress. There is growing evidence that, together with human and environmental factors, Mycobacterium tuberculosis complex strain diversity contributes to the variable outcome of infection and disease in human TB. We suppose that the future of diagnosis and treatment of tuberculosis lies in the field of personal medicine with comprehensive analysis of host and pathogen genes.

New epidemic cluster of pre-extensively drug resistant isolates of Mycobacterium tuberculosis Ural family emerging in Eastern Europe

Background

Ural genetic family is a part of the Euro-American lineage of Mycobacterium tuberculosis and is endemic in Northern Eurasia (former Soviet Union [FSU]). These strains were long described as drug susceptible and of low virulence, but recent studies reported an increasing circulation of the multidrug-resistant (MDR) and extensively drug-resistant (XDR) Ural strains. Here, we analyzed all publicly available whole genome sequence data of Ural genotype isolates, in order to elucidate their phylogenomic diversity with a special focus on MDR and potentially epidemic clones.

Results

A total of 149 M. tuberculosis genomes of Ural isolates from FSU countries were mined from the GMTV database and TB-ARC project. We identified 6002 variable amino acid positions that were assessed for functional significance and used to build ML, NJ trees and for Bayesian TMRCA estimation. Three robust monophyletic clades were identified: Clade A (31 isolates from Russia, Belarus, Moldova), Clade B (52 isolates from Russia), and Clade C (37 isolates from Moldova, 2 from Belarus). Clade C was significantly associated with XDR or pre-XDR status compared to the pooled Clades A and B (33/39 versus 5/83, P < 0.0001). Time of origin was estimated for Clade A at 77.7–137 years ago and for Clade B at 56.3–99.2 years ago compared to the significantly more recent origin for Clade C. in silico spoligotyping identified signatures specific of the Clade A (spoligotype SIT35), and Clades B and C (both SIT262).

Conclusions

A genetically compact and evolutionarily young Ural Clade C, likely originated after collapse of the Soviet Union, and reached epidemic proportions in Moldova in the last 20 years. This epidemic pre-XDR clone (mostly rifampin, isoniazid and kanamycin resistant) is characterized by a specific combination of mutations: KatG Ser315Thr, fabG1 -15C > T, RpoB Ser450Leu, RpsL Lys88Arg, eis -12G > A and EmbB Ser297Ala/T > G. Its further dissemination may occur towards both Russia and European Union and should be taken into consideration by health authorities. The identified spoligotyping signatures can serve for rapid preliminary detection and surveillance of the more hazardous pre-XDR associated strains of the Ural family, both in populations from countries of their endemic circulation and migrant communities.

Electronic supplementary material

The online version of this article (10.1186/s12864-018-5162-3) contains supplementary material, which is available to authorized users.

Current immunogenetic predisposition to tuberculosis in the Moroccan population

Tuberculosis (TB) is a serious infectious disease that kills approximately two million people per year, particularly in low- and middle-income countries. Numerous genetic epidemiology studies have been conducted of many ethnic groups worldwide and have highlighted the critical impact of the genetic environment on TB distribution. Many candidate genes associated with resistance or susceptibility to TB have been identified. In Morocco, where TB is still a major public health problem, various observations of clinical, microbiological and incidence distribution are heavily affected by genetic background and external environment. Morocco has almost the same clinical profile as do other North African countries, mainly the increase in more extrapulmonary than pulmonary forms of the diseases, when compared to European, Asian or American populations. In addition, a linkage analysis study that examined Moroccan TB patients identified a unique chromosome region that had a strong association with the risk of contracting TB. Other genes in the Moroccan population that were found to be associated seem to be involved predominantly in modulating the innate immunity. In this review, we appraise the major candidate genes that have been reported in Moroccan immunogenetic studies and discuss their updated role in TB, particularly during the first phase of the immune response to Mycobacterium tuberculosis (Mtb) infection.

Mycobacterium tuberculosis Lineage Distribution in Xinjiang and Gansu Provinces, China

Mycobacterium tuberculosis (M. tuberculosis) genotyping has dramatically improved the understanding of the epidemiology of tuberculosis (TB). In this study, 187 M. tuberculosis isolates from Xinjiang Uygur Autonomous Region (Xinjiang) and Gansu province in China were genotyped using large sequence polymorphisms (LSPs) and variable number tandem repeats (VNTR). Ten isolates, which represent major nodes of VNTR-based minimum spanning tree, were selected and subsequently subjected to multi-locus sequence analyses (MLSA) that include 82 genes. Based on a robust lineage assignment, we tested the association between lineages and clinical characteristics by logistic regression. There are three major lineages of M. tuberculosis prevalent in Xinjiang, viz. the East Asian Lineage 2 (42.1%; 56/133), the Euro-American Lineage 4 (33.1%; 44/133), and the Indian and East African Lineage 3 (24.8%; 33/133); two lineages prevalent in Gansu province, which are the Lineage 2 (87%; 47/54) and the Lineage 4 (13%; 7/54). The topological structures of the MLSA-based phylogeny support the LSP-based identification of M. tuberculosis lineages. The statistical results suggest an association between the Lineage 2 and the hemoptysis/bloody sputum symptom, fever in Uygur patients. The pathogenicity of the Lineage 2 remains to be further investigated.

Immunological consequences of strain variation within the Mycobacterium tuberculosis complex

In 2015, there were an estimated 10.4 million new cases of tuberculosis (TB) globally, making it one of the leading causes of death due to an infectious disease. TB is caused by members of the Mycobacterium tuberculosis complex (MTBC), with human disease resulting from infection by M. tuberculosis sensu stricto and M. africanum. Recent progress in genotyping techniques, in particular the increasing availability of whole genome sequence data, has revealed previously under appreciated levels of genetic diversity within the MTBC. Several studies have shown that this genetic diversity may translate into differences in TB transmission, clinical manifestations of disease, and host immune responses. This suggests the existence of MTBC genotype‐dependent host–pathogen interactions which may influence the outcome of infection and progression of disease. In this review, we highlight the studies demonstrating differences in innate and adaptive immunological outcomes consequent on MTBC genetic diversity, and discuss how these differences in immune response might influence the development of TB vaccines, diagnostics and new therapies.

Biological and Epidemiological Consequences of MTBC Diversity

Tuberculosis is caused by different groups of bacteria belonging to the Mycobacterium tuberculosis complex (MTBC). The combined action of human factors, environmental conditions and bacterial virulence determine the extent and form of human disease. MTBC virulence is a composite of different clinical phenotypes such as transmission rate and disease severity among others. Clinical phenotypes are also influenced by cellular and immunological phenotypes. MTBC phenotypes are determined by the genotype, therefore finding genotypes responsible for clinical phenotypes would allow discovering MTBC virulence factors. Different MTBC strains display different cellular and clinical phenotypes. Strains from Lineage 5 and Lineage 6 are metabolically different, grow slower, and are less virulent. Also, at least certain groups of Lineage 2 and Lineage 4 strains are more virulent in terms of disease severity and human-to-human transmission. Because phenotypic differences are ultimately caused by genotypic differences, different genomic loci have been related to various cellular and clinical phenotypes. However, defining the impact of specific bacterial genomic loci on virulence when other bacterial determinants, human and environmental factors are also impacting the phenotype would contribute to a better knowledge of tuberculosis virulence and ultimately benefit tuberculosis control.

The Role of Host Genetics (and Genomics) in Tuberculosis

Familial risk of tuberculosis (TB) has been recognized for centuries. Largely through studies of mono- and dizygotic twin concordance rates, studies of families with Mendelian susceptibility to mycobacterial disease, and candidate gene studies performed in the 20th century, it was recognized that susceptibility to TB disease has a substantial host genetic component. Limitations in candidate gene studies and early linkage studies made the robust identification of specific loci associated with disease challenging, and few loci have been convincingly associated across multiple populations. Genome-wide and transcriptome-wide association studies, based on microarray (commonly known as genechip) technologies, conducted in the past decade have helped shed some light on pathogenesis but only a handful of new pathways have been identified. This apparent paradox, of high heritability but few replicable associations, has spurred a new wave of collaborative global studies. This review aims to comprehensively review the heritability of TB, critically review the host genetic and transcriptomic correlates of disease, and highlight current studies and future prospects in the study of host genomics in TB. An implicit goal of elucidating host genetic correlates of susceptibility to Mycobacterium tuberculosis infection or TB disease is to identify pathophysiological features amenable to translation to new preventive, diagnostic, or therapeutic interventions. The translation of genomic insights into new clinical tools is therefore also discussed.

Whole genome sequencing identifies circulating Beijing-lineage Mycobacterium tuberculosis strains in Guatemala and an associated urban outbreak

Limited data are available regarding the molecular epidemiology of Mycobacterium tuberculosis (Mtb) strains circulating in Guatemala. Beijing-lineage Mtb strains have gained prevalence worldwide and are associated with increased virulence and drug resistance, but there have been only a few cases reported in Central America. Here we report the first whole genome sequencing of Central American Beijing-lineage strains of Mtb. We find that multiple Beijing-lineage strains, derived from independent founding events, are currently circulating in Guatemala, but overall still represent a relatively small proportion of disease burden. Finally, we identify a specific Beijing-lineage outbreak centered on a poor neighborhood in Guatemala City.

Beijing clades of Mycobacterium tuberculosis are associated with differential survival in HIV-negative Russian patients

We conducted a prospective study to establish factors associated with survival in tuberculosis patients in Russia including social, clinical and pathogen-related genetic parameters. Specifically we wished to determine whether different strains/clades of the Beijing lineage exerted a differential effect of survival. HIV-negative culture-confirmed cases were recruited during 2008-2010 across Samara Oblast and censored in December 2011. Molecular characterization was performed by a combination of spoligotyping, multilocus VNTR typing and whole genome sequencing (WGS). We analyzed 2602 strains and detected a high prevalence of Beijing family (n=1933; 74%) represented largely by two highly homogenous dominant clades A (n=794) and B (n=402) and non-A/non-B (n=737). Multivariable analysis of 1366 patients with full clinical and genotyping data showed that multi- and extensive drug resistance (HR=1.86; 95%CI: 1.52, 2.28 and HR=2.19; 95%CI: 1.55, 3.11) had the largest impact on survival. In addition older age, extensive lung damage, shortness of breath, treatment in the past and alcohol abuse reduced survival time. After adjustment for clinical and demographic predictors there was evidence that clades A and B combined were associated with poorer survival than other Beijing strains (HR=0.48; 95%CI 0.34, 0.67). All other pathogen-related factors (polymorphisms in genes plcA, plcB, plcC, lipR, dosT and pks15/1) had no effect on survival. In conclusion, drug resistance exerted the greatest effect on survival of TB patients. Nevertheless we provide evidence for the independent biological effect on survival of different Beijing family strains even within the same defined geographical population. Better understanding of the role of different strain factors in active disease and their influence on outcome is essential.

[Morphological diagnosis of tuberculosis under present-day conditions]

The paper presents general statistical data on morbidity and mortality rates of tuberculosis, which show positive trends in recent years, with exception of those of its concurrence with HIV infection. The tasks of the morphological diagnosis of tuberculosis are divided into 4 groups: 1) to refine approaches to detecting mycobacteria in tissues; 2) to optimize the postmortem diagnosis of tuberculosis; 3) to optimize the lifetime differential diagnosis of tuberculosis and to develop methods for predicting its course; 4) to study the pathogenesis of tuberculosis from the standpoint of modern views on an infectious process. The data suggesting that the tissue forms of mycobacteria, the types of inflammatory responses, and the specific features of the pathogenesis of tuberculosis call for further investigations are given. To establish the real role of nontuberculous mycobacteria, to study the likelihood that the patient will be superinfected with other M. tuberculosis genotypes, and to elaborate a uniform (clinical, pathogenetic, and morphological) classification of tuberculosis should be also regarded as the most important tasks in its morphological examination.

Mycobacterium tuberculosis phylogeography in the context of human migration and pathogen's pathobiology: Insights from Beijing and Ural families

Here, I review the population structure and phylogeography of the two contrasting families of Mycobacterium tuberculosis, Beijing and Ural, in the context of strain pathobiology and human history and migration. Proprietary database (12-loci MIRU-VNTR profiles of 3067 Beijing genotype isolates) was subjected to phylogenetic and statistical analysis. The highest rate (90%) and diversity (HGI 0.80-0.95) of the Beijing genotype in North China suggest it to be its area of origin. Under VNTR-based MDS analysis the interpopulation genetic distances correlated with geography over uninterrupted landmasses. In contrast, large water distances together with long time generated remarkable outliers. Weak and less expected affinities of the distant M. tuberculosis populations may reflect hidden epidemiological links due to unknown migration. Association with drug-resistance or increased virulence/transmissibility along with particular human migration flows shape global dissemination of some Beijing clones. The paucity of data on the Ural genotype prevents from high-resolution analysis that was mainly based on the available spoligotyping data. The North/East Pontic area marked with the highest prevalence of the Ural family may have been the area of its origin and primary dispersal in Eurasia. Ural strains are not marked by increased pathogenic capacities, increased transmissibility and association with drug resistance (but most recent reports describe an alarming increase of MDR Ural strains in some parts of eastern Europe and northwestern Russia). Large-scale SNP or WGS population-based studies targeting strains from indigenous populations and, eventually, analysis of ancient DNA will better test these hypotheses. Host genetics factors likely play the most prominent role in differential dissemination of particular M. tuberculosis genotypes.

Consequences of genomic diversity in Mycobacterium tuberculosis

The causative agent of human tuberculosis, Mycobacterium tuberculosis complex (MTBC), comprises seven phylogenetically distinct lineages associated with different geographical regions. Here we review the latest findings on the nature and amount of genomic diversity within and between MTBC lineages. We then review recent evidence for the effect of this genomic diversity on mycobacterial phenotypes measured experimentally and in clinical settings. We conclude that overall, the most geographically widespread Lineage 2 (includes Beijing) and Lineage 4 (also known as Euro-American) are more virulent than other lineages that are more geographically restricted. This increased virulence is associated with delayed or reduced pro-inflammatory host immune responses, greater severity of disease, and enhanced transmission. Future work should focus on the interaction between MTBC and human genetic diversity, as well as on the environmental factors that modulate these interactions.

Real-time PCR assay for rapid detection of epidemiologically and clinically significant Mycobacterium tuberculosis Beijing genotype isolates

Mycobacterium tuberculosis Beijing genotype strains are rapidly disseminating, frequently hypervirulent, and multidrug resistant. Here, we describe a method for their rapid detection by real-time PCR that targets the specific IS6110 insertion in the dnaA-dnaN genome region. The method was evaluated with a geographically and genetically diverse collection representing areas in East Asia and the former Soviet Union in which the Beijing genotype is endemic and epidemic (i.e., major foci of its global propagation) and with clinical specimens.

Insights into the origin, emergence, and current spread of a successful Russian clone of Mycobacterium tuberculosis

Mycobacterium tuberculosis variant Beijing B0/W148 is regarded as a successful clone of M. tuberculosis that is widespread in the former Soviet Union and respective immigrant communities. Understanding the pathobiology and phylogeography of this notorious strain may help to clarify its origin and evolutionary history and the driving forces behind its emergence and current dissemination. I present the first review and analysis of all available data on the subject. In spite of the common perception of the omnipresence of B0/W148 across post-Soviet countries, its geographic distribution shows a peculiar clinal gradient. Its frequency peaks in Siberian Russia and, to a lesser extent, in the European part of the former Soviet Union. In contrast, the frequency of B0/W148 is sharply decreased in the Asian part of the former Soviet Union, and it is absent in autochthonous populations elsewhere in the world. Placing the molecular, clinical, and epidemiological features in a broad historical, demographic, and ecological context, I put forward two interdependent hypotheses. First, B0/W148 likely originated in Siberia, and its primary dispersal was driven by a massive population outflow from Siberia to European Russia in the 1960s to 1980s. Second, a historically recent, phylogenetically demonstrated successful dissemination of the Beijing B0/W148 strain was triggered by the advent and wide use of modern antituberculosis (anti-TB) drugs and was due to the remarkable capacity of this strain to acquire drug resistance. In contrast, there is some indication, but not yet systematic proof, of an enhanced virulence of this strain.

Molecular snapshot of Mycobacterium tuberculosis population structure and drug-resistance in Kyrgyzstan

Kyrgyzstan is a post-Soviet country in Central Asia marked with high incidence and mortality rates of tuberculosis (TB). The present study provided first assessment of Mycobacterium tuberculosis population structure and drug-resistance in civilian population here. The collection included 103 M. tuberculosis DNA samples subjected to the analysis of rifampin and isoniazid resistance mutations and spoligotyping. The major spoligotype-defined families were Beijing (n = 62), T (n = 14), LAM (n = 9), Ural-2 (n = 6) and Ural-1 (n = 3). Genotypically, 20 isolates were RIF-resistant, 28 were INH-resistant, 17 were multidrug-resistant. Drug resistant isolates were more prevalent among Beijing than non-Beijing groups (P = 0.03). The predominance of the mainly "Russian" spoligotypes among the non-Beijing strains (LAM-RUS and Ural-1) in this study along with previously demonstrated prevalence of the Russia-specific subtype of the Beijing family in Kyrgyz prison (Mokrousov et al., 2009) suggest that the current population structure of M. tuberculosis in Kyrgyzstan has been mainly formed within the course of the 20th century when the country was a part of the Russian Empire and Soviet Union. On the other hand, a prevalence of the Asia-specific Ural-2 type in the oldest age group (68-85 years old; P < 0.0001) may present a heritage of the more distant historical events. In summary, we suggest: (i) a clear shift of the local M. tuberculosis population structure during the last 100 years and (ii) a critical impact of the Beijing genotype on the current situation with drug resistant TB in Kyrgyzstan.

CD209 promoter -336 A/G (rs4804803) polymorphism is associated with susceptibility to pulmonary tuberculosis in Zahedan, southeast Iran

INTRODUCTION

The association between -336 A/G polymorphism of CD209 and susceptibility to/protection from tuberculosis is inconsistent.

AIM

The present study aimed at evaluating the possible association between CD209 rs4804803 (-336 A/G) gene polymorphism and pulmonary tuberculosis (PTB) in a sample of Iranian population.

MATERIALS AND METHODS

This case-control study was performed on 156 PTB patients and 154 healthy individuals. Tetra-amplification refractory mutation system-polymerase chain reaction was used to detect the polymorphisms.

RESULTS

Our findings revealed that the CD209 rs4804803 increased the risk of PTB in codominant [odds ratio (OR) = 5.16, 95% confidence interval (CI) = 1.60-16.59, p = 0.006, GG vs. AA], dominant (OR = 1.69, 95% CI = 1.07-2.66, p = 0.024, AG + GG vs. AA), and recessive (OR = 4.20, 95% CI = 1.34-13.16, p = 0.014, GG vs. AA + AG) tested inheritance models. Furthermore, the rs4804803 G allele increased the risk of PTB (OR = 1.58, 95% CI = 1.12-2.23, p = 0.011) as compared to the A allele.

CONCLUSION

Our data suggest that CD209 rs4804803 polymorphism increased the risk of PTB in a sample of Iranian population.

Association between CD209 -336A/G and -871A/G polymorphisms and susceptibility of tuberculosis: a meta-analysis

Background

The association between CD209 promoter polymorphisms (-336A/G, -871A/G) and tuberculosis (TB) risk has been widely reported, but results of previous studies remain controversial and ambiguous. To assess the association between CD209 polymorphisms and TB risk, a meta-analysis was performed.

Methods

Based on comprehensive searches of the PubMed, Embase, Web of Science, Weipu, and CBM databases, we identified outcome data from all articles estimating the association between CD209 polymorphisms and TB risk. The pooled odds ratio (OR) with 95% confidence intervals (CIs) were calculated.

Results

A total of 14 studies with 3,610 cases and 3,539 controls were identified. There was no significant association between CD209 -336A/G polymorphism and TB risk (OR = 1.04, 95% CI = 0.91–1.19 for G vs. A; OR = 1.13, 95% CI = 0.84–1.53 for GG vs. AA; OR = 1.04, 95% CI = 0.87–1.24 for GG+AG vs. AA; OR = 1.11, 95% CI = 0.88–1.39 for GG vs. AG+AA). However, the significant association was revealed for Asians in GG vs. AA (OR = 2.48, 95% CI = 1.46–4.22, P = 0.0008) and GG vs. AG+AA (OR = 2.10, 95% CI = 1.33–3.32, P = 0.001). For the CD209 -871A/G polymorphism, lack of an association was also found (OR = 0.81, 95% CI = 0.70–0.95 for G vs. A; OR = 1.00, 95% CI = 0.52–1.93 for GG vs. AA; OR = 0.73, 95% CI = 0.60–0.89 for GG+AG vs. AA; OR = 1.09, 95% CI = 0.57–2.10 for GG vs. AG+AA).

Conclusion

The present meta-analysis suggested that CD209 promoter polymorphisms (-336A/G, -871A/G) were unlikely to substantially contribute to TB susceptibility. However, the GG genotype of CD209 -336A/G polymorphism might be a genetic risk factor that increases TB susceptibility for Asians in GG vs. AA and GG vs. AG+AA.

The quiet and controversial: Ural family of Mycobacterium tuberculosis

The absence of lateral gene exchange is a characteristic feature defining the genome evolution and clonal population structure of Mycobacterium tuberculosis. Certain of its lineages have justly attracted more attention due to their global dissemination and/or remarkable pathogenic properties. In this critical review, I discuss the population structure and genetic geography of the less 'popular' but in some aspects no less noteworthy M. tuberculosis lineage, Ural family. Its specific signature was initially defined by single copy in MIRU26, and large (>6) copy number in MIRU10 loci, and by 43-spoligotyping as absence of signals 29-31 and 33-36. Here, I suggest to subdivide Ural strains with present and absent spoligosignal 2 into primary Ural-1 and secondary Ural-2 sublineages, respectively, while 1 copy in MIRU26 is specific of Ural-1. Furthermore, three copies were recently described in MIRU10 in Ural-1 strains which highlights a high diversity of this locus in Ural genotype. The data on the two Ural sublineages were extracted from SpolDB4 database and original publications in order to trace their distribution at global and within-country levels. Importantly, the rigorous reanalysis suggested the true rate of the Ural genotype in the Ural area in Russia to be only 7%. In contrast, the frequencies of the Ural sublineages peak elsewhere: in South Ukraine and Georgia/Abkhazia (Ural-1, up to 14-19%), and in southwestern Iran (Ural-2, up to 26%). However, as this name is used since 2005, it seems most parsimonious to continue its use even if misleading. The forest graph was built on the available spoligoprofiles of Ural family strains from Eurasia. It helped to suggest routes of their primary dispersal that are discussed in the context of the known human migrations also influenced by natural barriers. The north/east Pontic area may have been an area of origin and primary dispersal of the Ural (Ural-1) genotype in Eurasia, whereas political and natural borders may have influenced its subsequent dissemination throughout Central Asia. Studies of phenotypic properties in different models, comparison with host genetics give evidence that the Ural family strains are not associated with increased capacity to acquire drug resistance, pathogenicity or transmissibility. Instead since Ural family is rather moderately widespread in Eurasia beyond the hypothesized areas of origin, this situation may be a result of its low contagiosity as a consequence of long-term co-adaptation with human host. Future research should be focused on whole-genome sequencing in order to identify Ural-specific SNP and/or deletion, to resolve its phylogenetic and phylogeographic uncertainty and to elucidate biological features underlying its circulation and co-evolution with the human species.