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 loci and by testing of the key markers to discriminate within the Beijing genotype. All isolates were divided into 427 mycobacterial interspersed repetitive units 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 multidrug‐resistance (MDR) rate was higher in Russia than in Mongolia among newly diagnosed patients: 29.4% versus 5.6% (p < .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 with non‐Beijing (48.7% versus 38.3%, p = .03) and (ii) Beijing B0/W148 compared with Beijing Central Asian/Russian (63.4% versus 37.3%, p < .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 neighbours has been negligible, and the adverse trends of MDR‐TB in Russia did not impact the current situation in Mongolia.
The microbiota of the respiratory tract remains a relatively poorly studied subject. At the same time, like the intestinal microbiota, it is involved in modulating the immune response to infectious agents in the host organism. A causal relationship between the composition of the respiratory microbiota and the likelihood of development and the severity of COVID-19 may be hypothesized. We analyze biomaterial from nasopharyngeal smears from 336 patients with a confirmed diagnosis of COVID-19, selected during the first and second waves of the epidemic in Russia. Sequences from a similar study conducted in Spain were also included in the analysis. We investigated associations between disease severity and microbiota at the level of microbial community (community types) and individual microbes (differentially represented species). To search for associations, we performed multivariate analysis, taking into account comorbidities, type of community and lineage of the virus. We found that two out of six community types are associated with a more severe course of the disease, and one of the community types is characterized by high stability (very similar microbiota profiles in different patients) and low level of lung damage. Differential abundance analysis with respect to comorbidities and community type suggested association of Rothia and Streptococcus genera representatives with more severe lung damage, and Leptotrichia, unclassified Lachnospiraceae and Prevotella with milder forms of the disease.
Aim. To estimate the dynamics changes in the population structure of the tuberculosis (ТВ) pathogen in the Irkutsk region by comparison of genotypes of M. tuberculosis from patients of different age groups. Materials and methods. 588 epidemiologically unrelated strains of M. tuberculosis isolates from 567 ТВ patients were characterized using 24-locus MIRU-VNTR typing. 160 strains belonged to patients of different age groups. 59 strains were isolated from the «young» people with ТВ who were bom after 1990 and 101 isolates from people who were born before 1955. Results. Two-thirds of the samples (427/567) were genotype Beijing with the dominance of two subtypes belonging to the modem epidemic clonal complexes CC1 and CC2. The high level of clustering profiles of CC1 and CC2 genotype Beijing in «older» and «young» patients in the Irkutsk region indicates the presence and active transmission of epidemic CC1 and CC2 subtypes over the past fifty years.
The SARS-CoV-2 pandemic is a big challenge for humanity. The COVID-19 severity differs significantly from patient to patient, and it is important to study the factors protecting from severe forms of the disease. Respiratory microbiota may influence the patient's susceptibility to infection and disease severity due to its ability to modulate the immune system response of the host organism. This data article describes the microbiome dataset from the upper respiratory tract of SARS-CoV-2 positive patients from Russia. This dataset reports the microbial community profile of 335 human nasopharyngeal swabs collected between 2020-05 and 2021-03 during the first and the second epidemic waves. Samples were collected from both inpatients and outpatients in 4 cities of the Russian Federation (Moscow, Kazan, Irkutsk, Nizhny Novgorod) and sequenced using the 16S rRNA gene amplicon sequencing of V3-V4 region. Data contains information about the patient such as age, sex, hospitalization status, percent of damaged lung tissue, oxygen saturation (SpO2), respiratory rate, need for supplemental oxygen, chest computer tomography severity score, SARS-CoV-2 lineage, and also information about smoking and comorbidities. The amplicon sequencing data were deposited at NCBI SRA as BioProject PRJNA751478.
Cross-replicating associations with rs657152 at the 9q34.2c locus and rs11385942 at the 3p21.31 locus found in patients with severe COVID-19 in the Caucasian population require the study of the discovered phenomenon in various populations, including as an independent biological marker. Primers and TaqMan probes for PCR discrimination of the A and C alleles in single nucleotide polymorphism (SNP) rs657152 have been developed. The polymorphism of the rs657152 A/C locus was determined in 129 patients with COVID-19 and in a control group of 466 healthy individuals. There were no significant differences in the frequency of distribution of the A and C alleles, 0.47/0.53 and 0.45/0.55, between patients and healthy subjects, respectively. Also, no differences were found in the distribution of alleles in patients with a high viral load in the smear (Ct in the range of 16–25) in comparison with an average and low viral load (Ct in the range of 26–40).
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