Molecular Diversity of Mycobacterium tuberculosis Strains in Northwestern Iran

Pourostadi, Mahya; Rashedi, Jalil; Poor, Behroz Mahdavi; Kafil, Hossein Samadi; Shirazi, Samaneh; Asgharzadeh, Mohammad

doi:10.5812/jjm.35520

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…this study 7 loci were defined as highly discriminative and among them MTUB04 and MIRU10 were the most prevalent MIRU VNTR loci in our area such as other reports from Iranian studies(22)(23)(24)(25)(26). on the other hand MIRU04 had the lowest discriminatory power as Azimi et al study.…”

supporting

confidence: 57%

MIRU-VNTR 15 loci capability in diagnosis of Beijing M. Tuberculosis strains in comparison with Real Time PCR

BabaiiKochaksareii

Kaboosi

Ghaemi

2019

Cell Mol Biol (Noisy-le-grand)

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Beijing strain has great importance among Mycobacterium tuberculosis (MTB) genotypes due to their drug resistance and pathogenicity. Determination of MTB genotypes and comparison of MIRU-VNTR 15 loci and real-time PCR methods for Beijing family identification was the main objective in this study. This study was conducted on 92 confirmed MTB isolates, 31 and 61 of which previously were determined by real-time PCR as Beijing and non-Beijing, respectively. Allelic diversity, clustering rate, phylogenetic tree, clonal complexes and molecular genotypes of isolates were determined by MIRU-VNTR 15 loci on its online software. In addition MIRU-VNTR 15 loci were performed for 16 non-tuberculosis isolates. Concordance between MIRU-VNTR 15 loci and real Time PCR in determination of Beijing genotype was 95.6(89.2-98.8). 74 different pattern of MIRU-VNTR were detected in 92 MTB isolates. 69 patterns were unique and 5 clusters were determined. Largest clusters contain 11 and 6 members. The clustering rate was 19.56%. Among 15 loci, Mtub04 and MIRU10 have the highest and MIRU04 had the lowest discriminatory power. In non-Beijing isolates, New1 and Delhi/CAS with 25% and 16.3% were the most prevalent MTB genotypes.None of the non-Tuberculosis isolates had the complete MIRU-VNTR 15 loci pattern. The results of this study showed that MIRU-VNTR 15 loci, in addition to being able to differentiate MTB genotypes, can distinguish non-tuberculosis species from MTB strains, but for the exact differentiation of Beijing MTB genotypes, it may be necessary to increase the patterns known in MIRU-VNTR data base.

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supporting

confidence: 57%

MIRU-VNTR 15 loci capability in diagnosis of Beijing M. Tuberculosis strains in comparison with Real Time PCR

BabaiiKochaksareii

Kaboosi

Ghaemi

2019

Cell Mol Biol (Noisy-le-grand)

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“…The results of several studies on the distribution pattern of strains in a few ethnic populaces have clarified the mechanism of transmission and factors related to the disease transmission (85,86). The data gathered in the present review will help us comprehend the dynamics of M. tuberculosis strains among different ethnic populations and geographic regions in Iran.…”

Section: Discussionmentioning

confidence: 71%

Challenges of Tuberculosis in Iran

Bialvaei

Asgharzadeh

Aghazadeh

et al. 2017

Jundishapur J Microbiol

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Genetic diversity of Mycobacterium tuberculosis isolates from northwest of Iran during COVID-19 era

Kashi

Pakdel

Barhaghi

et al. 2023

Egypt J Med Hum Genet

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Background Tuberculosis (TB) is considered one of the most infectious diseases in the world. In this study, we intended to examine the epidemiology of tuberculosis by MIRU-VNTR to define the changes that occur in the transmission of tuberculosis in the region during the COVID-19 era. A total of 120 Mycobacterium tuberculosis isolates were collected from sputum samples of patients referred to East Azerbaijan Center TB from December 2020 to August 2021. Demographic information such as age, sex, place of birth, previous TB history, and relevant medical data was collected. The proportion method was performed for drug susceptibility testing, and the PCR-based MIRU-VNTR method was applied to identify molecular epidemiology relationships. Results The isolates were collected from 78 male (65%) and 39 female (32.5%) Iranian patients and 3 (2.5%) Azerbaijani patients. Ninety-three distinct patterns were identified including 15 clustered patterns and 36 unique patterns. The largest cluster was composed of seven isolates. Furthermore, one cluster with 5 members, four clusters with 3 members, and nine clusters with 2 members. In MIRU-VNTR typing, 75 clusters belonged to the Tabriz region and just 3 to the Republic of Azerbaijan. All isolates were sensitive to rifampin, isoniazid, and ethambutol. Conclusions Results of the current study showed COVID-19 pandemic had a direct effect on the transmission and diagnosis of tuberculosis. Less diagnosis and less clustering can indicate public controls and hygiene, and the use of masks had a direct effect on the transmission and diagnosis of tuberculosis. However, misidentification and less focus on other respiratory infections are expected during the pandemic. Studies on the co-infection of COVID-19 and tuberculosis and the role of mask and sanitization against TB are strongly recommended.

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Molecular Diversity of Mycobacterium tuberculosis Strains in Northwestern Iran

Cited by 4 publications

References 29 publications

MIRU-VNTR 15 loci capability in diagnosis of Beijing M. Tuberculosis strains in comparison with Real Time PCR

MIRU-VNTR 15 loci capability in diagnosis of Beijing M. Tuberculosis strains in comparison with Real Time PCR

Challenges of Tuberculosis in Iran

Genetic diversity of Mycobacterium tuberculosis isolates from northwest of Iran during COVID-19 era

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