|Year : 2014 | Volume
| Issue : 6 | Page : 892-902
A study of Mycobacterium tuberculosis genotypic diversity & drug resistance mutations in Varanasi, north India
Anamika Gupta1, Savita Kulkarni2, Nalin Rastogi3, Shampa Anupurba1
1 Department of Microbiology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
2 Laboratory Nuclear Medicine Section, Isotope Group, Bhabha Atomic Research Centre, Mumbai, India
3 WHO Supranational TB Reference Laboratory, TB & Mycobacteria Unit, Institut Pasteur de Guadeloupe, Abymes, Guadeloupe, France
|Date of Submission||29-Aug-2012|
|Date of Web Publication||4-Aug-2014|
Department of Microbiology, Institute of Medical Sciences Banaras Hindu University, Varanasi 221 005
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Background & objectives: One-fifth of the world's new tuberculosis (TB) cases and two-thirds of cases in the South East Asian region occur in India. Molecular typing of Mycobacterium tuberculosis isolates has greatly facilitated to understand the transmission of TB. This study was aimed to investigate the molecular epidemiology of M. tuberculosis genotypes in Varanasi, north India, and their association with clinical presentation among patients with pulmonary TB.
Methods: M. tuberculosis isolates from 104 TB patients attending a tertiary referral hospital of north India were screened for susceptibility to isoniazid (INH), rifampicin (RIF), ethambutol (EMB) and streptomycin (STR) by proportion method and multiplex-allele-specific-polymerase chain reaction (MAS-PCR). These were genotyped by spoligotyping. The spoligotype patterns were compared with those in the international SITVIT2 spoligotyping database.
Results: Eighty three of 104 isolates were distributed in 38 SITs, of which SIT3366 was newly created within the present study. The mass of ongoing transmission with MDR-TB isolates in Varanasi, northern India, was linked to Beijing genotype followed by the CAS1_Delhi lineage. HIV-seropositive patients had a significantly higher proportion of clustered isolates than HIV-seronegative patients and compared with the wild type(wt) isolates, the isolates with katG315Thr mutation were considerably more likely to be clustered.
Interpretation & conclusions: This study gives an insight into the M. tuberculosis genetic biodiversity in Varanasi, north India, the predominant spoligotypes and their impact on disease transmission. In this region of north India, TB is caused by a wide diversity of spoligotypes with predominance of four genotype lineages: Beijing, CAS, EAI and T. The Beijing genotype was the most frequent single spoligotype and strongly associated with multi drug resistant (MDR)-TB isolates. These findings may have important implications for control and prevention of TB in north India.
Keywords: Beijing genotypes - drug resistance - HIV - molecular epidemiology - SITVIT2 - tuberculosis
|How to cite this article:|
Gupta A, Kulkarni S, Rastogi N, Anupurba S. A study of Mycobacterium tuberculosis genotypic diversity & drug resistance mutations in Varanasi, north India. Indian J Med Res 2014;139:892-902
|How to cite this URL:|
Gupta A, Kulkarni S, Rastogi N, Anupurba S. A study of Mycobacterium tuberculosis genotypic diversity & drug resistance mutations in Varanasi, north India. Indian J Med Res [serial online] 2014 [cited 2021 Jan 20];139:892-902. Available from: https://www.ijmr.org.in/text.asp?2014/139/6/892/138063
India accounts for one fifth of the world's new tuberculosis (TB) cases and two-thirds of cases in the South East Asia  . Regardless of the efforts to control TB, the disease burden of human TB is still a very serious and widespread public health problem particularly in developing countries. This situation is worsened by the appearance of multidrug-resistant (MDR), extensively drug resistant (XDR) strains of Mycobacterium tuberculosis and a high incidence of human immunodeficiency virus (HIV)/TB co-infection  .
Molecular techniques in the TB field have provided new ways to study dissemination dynamics and evolutionary genetics of the pathogen, with a direct impact on TB control actions  . Spoligotyping is the second most widely used method for M. tuberculosis complex genotype after insertion sequence 6110 (IS6110)-based fingerprinting  . Spoligotyping in combination with mycobacterial interspersed repetitive units-variable-number of tandem DNA repeats (MIRU-VNTR) has been used to replace IS6110-restriction fragment length polymorphisms (RFLP) typing. The IS6110-RFLP method has been considered the gold standard for genotyping M. tuberculosis , however, this is an expensive, laborious and extensive method that requires weeks for culturing and specific software to analyse the RFLP band patterns. Moreover, this method is not applicable to isolates having either too low or zero IS6110 copy number  .
Spoligotyping is based on a polymorphism in the chromosomal direct repeat (DR) locus  and has been applied to the characterization of the M. tuberculosis complex. It is internationally accepted as a rapid, first line discriminatory test and the gold standard for the identification of Beijing strains of M. tuberculosis, . The spoligotyping method was also the basis for making of the largest genotype database for M. tuberculosis, containing a global distribution and phylogenetic analysis for worldwide spoligotypes  .
A better understanding of drug-resistant TB epidemiology is essential to develop evidence-based control strategies for MDR-TB. Drug-resistance is associated with a number of factors including poor adherence to anti-TB treatment  . MDR-TB is a result of the step-wise accumulation of mutations in drug-resistance conferring genes. Previously, drug-resistant M. tuberculosis strains were thought to be less infectious and less likely to cause disease when compared to their drug-susceptible counterparts  . However, recent studies have shown that these are able to transmit and cause disease as often as drug-susceptible organisms  . Further, the prevalence of different drug resistant clones of M. tuberculosis varies from one area to another and studies in different geographical settings are necessary to understand the epidemiology of disease  .
This study was undertaken to provide with an insight into the M. tuberculosis genotypic diversity and drug resistance mutations in Varanasi, north India. We also compared our data on a global scale to present an in-depth analysis of prevailing M. tuberculosis clones to understand their probable transmission dynamics.
| Material & Methods|| |
The study was conducted at the Department of Microbiology, Institute of Medical Sciences, Banaras Hindu University (BHU) and Sir SundarLal (SS) Hospital, a tertiary-care hospital of BHU. Sputum specimens were collected during the period of January 2008 to January 2010, from clinically suspected pulmonary TB patients, from Varanasi and adjoining districts of Uttar Pradesh, attending various OPDs of SS Hospital, BHU, Varanasi. Culture and drug susceptibility testing (DST) of M. tuberculosis was done at Department of Microbiology, Institute of Medical Sciences, Banaras Hindu University (BHU) while spoligotyping was done at the Laboratory Nuclear Medicine Section, Isotope Group, Bhabha Atomic Research Centre, Mumbai, India.
Specimens/mycobacterial isolates/phenotypic drug susceptibility testing: One hundred four clinical isolates of M. tuberculosis were recovered from sputum specimens from patients diagnosed with pulmonary TB on the basis of clinical symptoms, chest X-ray, and bacteriological examination. Demographic and epidemiological data were obtained on direct counselling with patients and from the medical records. Isolated cultures were identified by certain biochemical tests, such as heat-stable catalase, niacin accumulation, and susceptibility to p-nitro benzoic acid (PNB) followed by the amplification of a 523-bp DNA fragment specific for the IS6110 gene , present in all isolates. For this purpose, bacterial DNA was extracted by using the protocol of van Embden et al with slight modifications. Identified M. tuberculosis isolates were subjected to indirect DST according to the gold standard proportion method (PM) with the recommended critical concentrations of 40 μg/ml for rifampicin (RIF), 0.2 μg/ml for isoniazid (INH), 2 μg/ml for ethambutal (EMB) and 4 μg/ml for streptomycin (STR) , . H37Rv (ATCC 27294) and a known MDR strain were used as negative and positive controls, respectively. Among the first line anti TB drugs pyrazinamide susceptibility testing was not done.
Overall, 47 pan susceptible, 51 MDR and six other M. tuberculosis isolates (resistant to one or more first line anti-TB drugs) to see the association of prevailing drug-resistance with different lineages of M. tuberculosis. The study protocol was approved by the ethical committee of the Institute.
HIV testing: Three rapid HIV test kits (initial screening by comb AIDS, if the test was reactive then Pareekshak Triline card and AIDSCAN Trispot test were performed) based on different antigens/principles were used to test the HIV status of patients according to NACO (National AIDS Control Organization) guidelines  .
Multiplex allele-specific (MAS)-PCR assay for detection of RIF, INH and EMB resistance determinants: A two-step MAS-PCR assay was performed to detect mutations at rpoB codons (516, 526 and 531), katG codon 315 and embB codon 306 ,, . Two outer (forward & reverse) and three inner forward primers were used for three MAS-PCRs targeting three different codons of the rpoB gene while two outer and one inner reverse primers were used for katG315 MAS PCR and two outer and two inner primers were used for embB306 MAS PCR ,, .
Spoligotyping: Spoligotyping was performed (n=104) according to the standard method of Kamerbeek et al . M. tuberculosis H37Rv and deionized autoclaved water were used as positive and negative controls in each experiment. The results were documented in the form of a binary code.
Comparison of spoligotypes with an updated database: Spoligotypes in binary format were entered in the SITVIT2 database (Pasteur Institute of Guadeloupe, France), which is an updated version of the previously released SpolDB4 database  . At the time of the present study, SITVIT2 contained more than 3000 SITs (Spoligotype International Type) with global genotyping information on about 75,000 M. tuberculosis clinical isolates from 160 countries of origin. In this database, SIT designates spoligotypes shared by two or more patient isolates, as opposed to "orphan" which designates patterns reported for a single isolate. Major phylogenetic clades were assigned according to signatures provided in SpolDB4, which defined 62 genetic lineages/sub-lineages  .
Statistical analysis: Descriptive analyses were performed using SPSS 15.0 (SPSS, Chicago, IL, USA). Binary logistic regression model was used for univariate and multivariate analyses to qualify and quantify the difference in clustering proportion between groups of subjects with different socio-demographic and clinical characteristics. The adjusted odds ratio (OR) and 95 per cent confidence interval (CI) were calculated by adjusting for the possible confounders (age and sex). Statistical significance was defined as P value of 0.05 or less. A cluster of M. tuberculosis isolates was defined as two or more isolates with identical spoligotyping patterns. A cluster of patients was defined as two or more patients with identical isolates. The geographical distribution of the clusters was assessed on the basis of the place of residence of the patients.
| Results|| |
In this study, a total of 104 isolates including drug susceptible and drug resistant both from the spectrum specimens collected from pulmonary TB patients were included. These were from 39 females (6 to 70 yr) and 65 males (16 to 75 yr). Further, 89 (85.58%) of these were HIV seronegative and 15 (14.42%) were HIV seropositive patients. Of all isolates, 47 (45.19%) were susceptible to all four first line drugs i.e., INH and RIF, STR and EMB while 57 (54.81) were resistant to one of these drugs. Of the 57 any drug resistant isolates, 55 (96.49%), 52 (91.23%), 41 (71.93%), 45 (78.95%) and 51 (89.47%) were INH, RIF, STR, EMB and multidrug resistant TB isolates, respectively. n0 ew and retreated cases were 56 (53.85%) and 48 (46.15%), respectively. a0 mong 57 any drug resistant cases, 21 (36.84%) and 36 (63.12%) were primary and acquired drug resistant cases, respectively.
Comparison of the spoligotypes with those in the international database: Comparison with the SITVIT2 database showed that 21 patterns (1 isolate per pattern) were not reported earlier to the database; these were classified as orphans [Table 1], and corresponded to CAS1_DELHI (n=7), EAI5 (n=4), Manu 2 (n=3), Manu 1 (n=2), EAI3-IND (n=2), EAI4-VNM (n=1) families, respectively. The remaining two orphan isolates corresponded to an unknown pattern in one case, and an ambiguous pattern with a mixed LAM/T profile in another case. The remaining 83 isolates were distributed in 38 shared types or SITs [Table 2]. Twenty six (31.33%) isolates presented unique SITs, remaining 57 were clustered in 12 groups of 2 to 21 isolates each. SIT1 (Beijing clade) represented 20.39 per cent of all isolates, followed in predominance by SIT26 and SIT954 (CAS1_DELHI) which constituted 6.8 and 4.85 per cent of all isolates. Of the 38 SITs, 37 were matched to a pre-existing shared type in the database, whereas one SIT (SIT3366, n=3) was newly created within the study. a0 mong the 26 isolates which were of unique SITs, seven (SIT24, 429, 794, 1327, 1346, 599, 2392), seven (SIT346, 380, 474, 591, 1373, 1390, 2457), five (SIT31, 358, 1129, 1267, 1163), two (SIT250, 621), two (SIT54, 1634) and one (SIT137) corresponded to CAS, EAI, T, Beijing, Manu and X family lineages while two (SIT27, 560) were of unknown origin.
|Table 1: Orphan isolates (n=21) and corresponding spoligotyping defined lineages/sublineages found among a total of 104 M. tuberculosis isolates from patients residing in Varanasi, north India|
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|Table 2: Description of 38 shared-types (n=83 isolates) and corresponding spoligotyping defined lineages/sublineages starting from a total of 104 M. tuberculosis isolates from patients residing in Varanasi, north India|
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Characteristics of the predominant spoligotypes in our study (patterns shared by two or more isolates) and their worldwide distribution in the SITVIT2 database [Table 3] showed that a total of seven SITs predominated (representing 47/104 isolates, or 45.19% of all isolates); and corresponded to the following (in decreasing order): SIT1-Beijing (n = 21, 20.39%), SIT26-CAS1_DELHI (n = 7, 6.8%), SIT954- CAS1_DELHI (n = 5, 4.85%), SIT4-EAI3_IND (n = 4, 3.88%), SIT53 (n=4, 3.88%), SIT288-CAS2 (n = 3, 2.91%) and SIT3366-EAI3_IND (n = 3, 2.91%). m0 ost of the spoligotypes (except SIT1 that predominated in East/South-East Asia, SIT53 in North/South America, and Europe, and SIT3366 that was newly described in our study) were simultaneously predominant in South Asia and North America. Note that 22.04, 20.33, 26.09 and 27.27 per cent of all cases with, respectively, SIT11, 26, 288 and 954 in the SITVIT2 database were reported from North America (22.04, 20.33, 26.09 and 27.27% from the United States, respectively). t0 he isolates belonging to these four predominant lineages in the SITVIT2 database were also frequently reported from South Asia (43.33, 44.48, 51.09, and 63.64%, respectively, for SIT11, SIT26, SIT288, SIT954; and 35.93, 22.38, 43.48, and 54.55% being from India). Regarding SIT1, 34.52 per cent of cases with this pattern in SITVIT2 were reported from East-Asia, 21.18 per cent from North America, but only 3.85 per cent from South Asia. t0 he third highest proportion of predominant spoligotypes was from Western Europe. The mean age of the patients' harbouring predominant spoligotypes ranged from 22.25-36.36 years.
|Table 3: Description of major M. tuberculosis clusters in Varanasi (containing 3 or more isolates in our study), and their worldwide distribution in the SITVIT2 database|
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|Table 4: Association of clustered M. tuberculosis isolates with clinical, epidemiological characteristics of patients and different drug-resistant pattern and genetic mutations* (n=104)|
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Distribution of predominant spoligotypes by gender, age, HIV status and DST: Almost all SITs were more prevalent in men, except SIT53, being isolated from the patients in their productive age (mean age, 27.47-36.33 yr). SIT53 was more prevalent than all other spoligotypes in women, being isolated from the patients with the age ranges from 14-20 yr (mean age, 16.33 yr) [Table 3]. SIT1/Beijing genotype was highly prevalent in the multidrug-resistant as well as HIV seropositive groups (13/21 isolates were MDR, four of these being isolated from HIV seropositive patients), followed by the CAS1_DELHI lineage (SIT26 and SIT654) in 6/12MDR isolates [Table 3].
Association of clustered spoligotypes with clinical, epidemiological features of patients and phenotypic, genotypic DST: Binary logistic regression was applied to analyze the "clustering" of M. tuberculosis isolates in association with patients' demographics, clinical profiles and the bacteriologic features [Table 4]. Smear-negative TB patients had a significantly higher proportion of clustered isolates than smear-positive patients (77.27 vs. 48.78%; adjusted OR, 0.248; P, 0.015; 95%CI, 0.080-0.765), as well as in the HIV seropositive patients in comparison to HIV seronegative patients (80.0 vs.50.56%; adjusted OR, 3.943; P, 0.045; 95%CI, 1.031-15.077). However, there were no significant association between clustered M. tuberculosis isolates and age (mean ± SD, 31.47 ±13.9), sex, treatment history and radiological findings of the patients [Table 4].
Further, drug resistant/MDR-TB and acquired drug resistant/primary drug resistant isolates were clustered in almost same proportion compared to total genotyped isolates. Compared with wild type (wt) isolates, the isolates with the katG315Thr mutation were more likely to be clustered (60.0 vs. 20.0%) however, the proportion was not significant. Further, among RIF and EMB resistant isolates, rpoB516Leu, rpoB526Arg, rpoB531Leu and embB306Val, embB306Ile alleles, respectively were not associated with clustering [Table 4].
| Discussion|| |
The genetic diversity of M. tuberculosis genome and hence their population structure, is strongly linked to geography reinforcing the importance of localized effort to control tuberculosis. Utilizing these data for the clinical benefit of individual patients remains a challenge. Epidemiological studies are important in the surveillance of the disease to define its origin and spread in the community and for effective control and prevention. In this study, we have tried to define the genetic structure of the population of circulating M. tuberculosis isolates in and around Varanasi, north India. When the spoligotypes of these isolates were compared with those in the international spoligotype database of the Institute Pasteur de Guadalupe, it was found that 21 isolates were not identified in the SITVIT2 database. Of these 21 orphan isolates, only 8 cases were pan susceptible while the remaining 13 (61.90%) isolates corresponded to MDR-TB. This observation indicates the need of conducting multicenter studies to pinpoint all the prevalent M. tuberculosis spoligotypes in the Indian subcontinent. The remaining 83 isolates were distributed in 38 shared types or SITs. Twenty six (31.33%) isolates presented unique SITs, while the remaining 57 were clustered in 12 groups of 2 to 21 isolates each.
TB is a leading health problem in India, still our knowledge regarding the circulating strains of M. tuberculosis is limited. Studies done so far, suggest Central Asian family (CAS) to be the major clade in the north whereas East African Indian (EAI) predominates in the southern part of India ,, . In general, Beijing genogroup is present in low percentage throughout the country ,,, . The emergence of this family continues to pose a serious threat to TB control due to its high virulence and frequent association with multi-drug resistance. Beijing family is highly prevalent throughout Asia and Eurasia  , with a reported prevalence of approximately 3-11 per cent in India ,, . In our region spoligotype patterns showed that Beijing clade was the largest clade (22.11%) corresponded by SIT1, SIT250 and SIT621 and this was quite higher than the above reported frequencies. In the international database, SIT1 contains 10.7 per cent of the isolates reported. Association of Beijing strain with MDR-TB has been noted in studies carried out in United States, Estonia, Vietnam and Russia ,, but others have not found any association between Beijing family and drug resistance , . However, in the present study the association of Beijing strain with MDR-TB was observed at a high frequency (29.41%), accounting for nearly one third of the MDR-TB isolates. While another five of 23 Beijing genotypes were pan susceptible, two isolates were resistant to INH, STR and EMB and one isolate was resistant to INH only. o0 f the 23 patients harbouring Beijing genotypes, 13 were previously treated and 10 of them were having MDR-TB Beijing genotypes. Three of them were HIV seropositive with non-MDR-TB Beijing genotypes. A study by Almeida et al showed agreement with our finding and found 35 per cent of the Beijing genotype among MDR-TB isolates recovered in and around Mumbai, India. t0 he authors did not report any pan susceptible Beijing isolate in their study sample. In another study from Kanpur, north India, among eight Beijing isolates, six (75%) were MDR-TB, one isolate was resistant to RIF, STR and kanamycin (KAN) and one isolate was sensitive to all six drugs tested  . However, the results of the present study regarding Beijing genotype should not be overinterpreted, as our samples were obtained from a tertiary care center, and sampling bias cannot be ruled out. Also, the fact that many of the Beijing strains were from patients with acquired resistance strongly suggested that a susceptible population could be present in our setting.
In our study, the second largest clade was CAS family (21.15%) represented by SIT24, SIT26, SIT288, SIT429, SIT599, SIT794, SIT954, SIT1327, SIT1346 and SIT2392 and among these the most predominant spoligotype was SIT26 (16.35%). Studies in north India showed that CAS1-DELHI strain was prevalent in 22-37% of isolates ,,, whereas it was found at a lower frequency (7.4%) in a study from Mumbai  and represents only 1.7 per cent of strains in the SITVIT2 database. SIT26 represents 1.63 per cent of isolates in the updated SITVIT2 database and has been reported from 39 countries in varying numbers, with maximum number of isolates from Asian countries. A study from Pakistan also showed CAS1-DELHI type (39%) as the dominant isolate  . SIT26 is limited mainly to the Middle East and to Central Asia. It has also been found in regions in which frequent migration to and from the Indian subcontinent occurs, e.g., Saudi Arabia, Kenya, South Africa, Malaysia, Myanmar, Australia, USA and parts of Europe. The third-largest spoligotype found in our study was EAI family lineages (17.31%) with predominance of EAI3_IND (7.69%). It has also been found to be a major spoligotype in other studies from Delhi , . Further, 13 (12.5%) isolates belonged to T super family (prototype T, T1 and T3), a widespread yet poorly defined super family, needing better markers for proper characterizations  among which 11 (10.58%) belonged to T1 prototype. Mathuria et al found 9.6 per cent prevalence of T1 prototype of T super family. Predominant spoligotypes, i.e., SIT1, 11, 26, 53, 288 and 954, within this study were also most prevalent in North America and United States. The SIT (SIT3366, n=3) which was newly created within the study was also found predominantly in South Asia. Among these three patients with SIT3366 isolate, two were from Jaunpur and one was from Varanasi region of north India. One of these three patients had HIV seropositivity and another one had previous treatment history.
Binary logistic regression was applied to analyze the "clustering" of M. tuberculosis isolates in association with patients' demographics, clinical profiles and the bacteriologic features. The isolates were more likely to be clustered in HIV seropositive patients, and the percentage of clustering was significantly higher in smear-negative TB patients as compared to smear-positive patients. However, most of these smear-negative specimens were found to be culture positive. t0 he overall numbers of clustered isolates were also high among smear-positive patients, which may extend the transmission period of the pathogen between hosts by infecting more persons around an index case. Also, the presence of HIV is known to increase the risk of rapid progression from infection to disease, a fact that may indirectly increase TB transmission rates in the community  .
e0 arly TB detection and efficient treatment are necessary steps to control this infectious disease; hence the information regarding the transmission patterns of drug-resistant M. tuberculosis isolates is a prerequisite in decision-making for TB control. High TB burden regions , are known to harbour a higher prevalence of the katG315Thr mutation in INH resistant isolates compared to low TB burden areas  . Among drug-resistant TB patients, a considerably high clustering proportion of katG315Thr allele was observed in our study. This allele was associated with MDR-TB as reported elsewhere  , and might serve as a surrogate marker to identify the recent transmission of MDR-TB and INH resistant isolates in studied areas.
TB epidemic in Varanasi, north India is caused by a wide diversity of spoligotypes with predominance of four genotype lineages: Beijing, CAS, EAI and T. The Beijing genotype was the most frequent single spoligotype and strongly associated with MDR-TB isolates in Varanasi, North India. We showed that the bulk of ongoing transmission with MDR-TB strains in Varanasi, northern India is linked to Beijing genotype followed by the CAS1_Delhi lineage. These findings have important implications for the control and prevention of tuberculosis.
Larger studies with representative sampling are needed to elucidate the actual status and role of these genotypes in the dissemination and transmission of TB in Northern India as well as elsewhere in India. This study represents a baseline study of the M. tuberculosis population structure in Eastern Uttar Pradesh, and may serve as an impetus for future molecular epidemiological studies in north India, and help comprehend the global tubercle bacilli genotypic diversity. Additional studies using 2 nd -line typing using MIRU-VNTRs over an extended period of time and an exhaustive recruitment of patients would be beneficial to fully understand the epidemiology of TB and its transmission dynamics in this region.
| Acknowledgment|| |
Authors thank David Couvin for data entry and query using the SITVIT2 proprietary database of Institut Pasteur de la Guadeloupe. Financial assistant to Ms. Anamika Gupta by Indian Council of Medical Research, New Delhi is acknowledged.
| References|| |
|1.||Shanmugam S, Selvakumar N, Narayanan S. Drug resistance among different genotypes of Mycobacterium tuberculosis isolated from patients from Tiruvallur, South India. Infect Genet Evol 2011; 11 : 980-6. |
|2.||Centers for Disease Control and Prevention (CDC). Trends in tuberculosis - United States, 2008. MMWR Morb Mortal Wkly Rep 2009; 58 : 249-53. |
|3.||Kamerbeek J, Schouls L, Kolk A, van Agterveld M, van Soolingen D, Kuijper S, et al. Simultaneous detection and strain differentiation of Mycobacterium tuberculosis for diagnosis and epidemiology. J Clin Microbiol 1997; 35 : 907-14. |
|4.||Prodinger WM. Molecular epidemiology of tuberculosis: toy or tool? A review of the literature and examples from Central Europe. Wien Klin Wochenschr 2007; 119 : 80-9. |
|5.||van Embden JD, Cave MD, Crawford JT, Dale JW, Eisenach KD, Gicquel B, et al. Strain identification of Mycobacterium tuberculosis by DNA fingerprinting: recommendations for a standardized methodology. J Clin Microbiol 1993; 31 : 406-9. |
|6.||Brudey K, Driscoll JR, Rigouts L, Prodinger WM, Gori A, Al-Hajoj SA, et al. Mycobacterium tuberculosis complex genetic diversity: mining the fourth international spoligotyping database (SpolDB4) for classification, population genetics and epidemiology. BMC Microbiol 2006; 6 : 23. |
|7.||Glynn JR, Whiteley J, Bifani PJ, Kremer K, van Soolingen D. Worldwide occurrence of Beijing/W strains of Mycobacterium tuberculosis: a systematic review. Emerg Infect Dis 2002; 8 : 843-9. |
|8.||Pritchard AJ, Hayward AC, Monk PN, Neal KR. Risk factors for drug resistant tuberculosis in Leicestershire-poor adherence to treatment remains an important cause of resistance. Epidemiol Infect 2003; 130 : 481-3. |
|9.||Cohn ML, Davis CL. Infectivity and pathogenicity of drug-resistant strains of tubercle bacilli studied by aerogenic infection of guinea pigs. Am Rev Respir Dis 1970; 102 : 97-100. |
|10.||Shenoi SV, Escombe AR, Friedland G. Transmission of drug-susceptible and drug-resistant tuberculosis and the critical importance of airborne infection control in the era of HIV infection and highly active antiretroviral therapy rollouts. Clin Infect Dis 2010; 50 (Suppl) : S231-7. |
|11.||Purwar S, Chaudhari S, Katoch VM, Sampath A, Sharma P, Upadhyay P. Determination of drug susceptibility patterns and genotypes of Mycobacterium tuberculosis isolates from Kanpur district, North India. Infect Genet Evol 2011; 11 : 469-75. |
|12.||Centro Panamericano de Zoonosis Tuberculosis bacteriology. Technical note 11, Buenos Aires, Argentina: Centro Panamericano de Zoonosis, 1988; (In Spanish). |
|13.||Plikaytis BB, Marden JL, Crawford JT, Woodley CL, Butler WR, Shinnick TM. Multiplex PCR assay specific for the multidrug-resistant strain W of Mycobacterium tuberculosis. J Clin Microbiol 1994; 32 : 1542-6. |
|14.||Canetti G, Froman S, Grosset J, Hauduroy P, Langerova M, Mahler HT, et al. Mycobacteria: laboratory methods for testing drug sensitivity and resistance. Bull World Health Organ 1963; 29 : 565-78. |
|15.||Canetti G, Fox W, Khomenko A, Mahler HT, Menon NK, Mitchison DA, et al. Advances in techniques of testing mycobacterial drug sensitivity, and the use of sensitivity tests in tuberculosis control programmes. Bull World Health Organ 1969; 41 : 21-43. |
|16.||Guidelines on HIV testing. Laboratory manual for technicians (ICTSs), PPTCTS, Blood Banks and PHCs. New Delhi: Ministry of Health and Family Welfare, National AIDS Control Organization; 2007. p. 53. |
|17.||Mokrousov I, Otten T, Vyshnevskiy B, Narvskaya O. Allele-specific rpoB PCR assays for detection of rifampin-resistant Mycobacterium tuberculosis in sputum smears. Antimicrob Agents Chemother 2003; 47 : 2231-5. |
|18.||Mokrousov I, Otten T, Filipenko M, Vyazovaya A, Chrapov E, Limeschenko E, et al. Detection of isoniazid-resistant Mycobacterium tuberculosis strains by a multiplex allele-specific PCR assay targeting katG codon 315 variation. J Clin Microbiol 2002; 40 : 2509-12. |
|19.||Mokrousov I, Narvskaya O, Limeschenko E, Otten T, Vyshnevskiy B. Detection of ethambutol-resistant Mycobacterium tuberculosis strains by multiplex allele-specific PCR assay targeting embB306 mutations. J Clin Microbiol 2002; 40 : 1617-20. |
|20.||Mathuria JP, Sharma P, Prakash P, Samaria JK, Katoch VM, Anupurba S. Role of spoligotyping and IS6110-RFLP in assessing genetic diversity of Mycobacterium tuberculosis in India. Infect Genet Evol 2008; 8 : 346-51. |
|21.||Sharma P, Chauhan DS, Upadhyay P, Faujdar J, Lavania M, Sachan S, et al. Molecular typing of Mycobacterium tuberculosis isolates from a rural area of Kanpur by spoligotyping and Mycobacterial interspersed repetitive units (MIRUs) typing. Infect Genet Evol 2008; 8 : 621-6. |
|22.||Kulkarni S, Sola C, Filliol I, Rastogi N, Kadival G. Spoligotyping of Mycobacterium tuberculosis isolates from patients with pulmonary tuberculosis in Mumbai, India. Res Microbiol 2005; 156 : 588-96. |
|23.||Singh UB, Suresh N, Bhanu NV, Arora J, Pant H, Sinha S, et al. Predominant tuberculosis spoligotypes, Delhi, India. Emerg Infect Dis 2004; 10 : 1138-42. |
|24.||van Soolingen D, Qian L, de Haas PE, Douglas JT, Traore H, Portaels F, et al. Predominance of a single genotype of Mycobacterium tuberculosis in countries of east Asia. J Clin Microbiol 1995; 33 : 3234-8. |
|25.||Bhanu VN, van Soolingen D, van Embden JD, Dar L, Pandey RM, Seth P. Predominance of a novel Mycobacterium tuberculosis genotype in the Delhi region of India. Tuberculosis (Edinb) 2002; 82 : 105-12. |
|26.||Agerton TB, Valway S, Blinkhorn RJ, Shilkret KL, Reves R, Schluter WW, et al. Spread of strain W, a highly drug resistant strain of Mycobacterium tuberculosis, across the United States. Clin Infect Dis 1999; 29 : 85-92; discussion 93-5. |
|27.||Bifani PJ, Plikaytis BB, Kapur V, Stockbauer K, Pan X, Lutfey ML, et al. Origin and interstate spread of a New York City multidrug-resistant Mycobacterium tuberculosis clone family. JAMA 1996; 275 : 452-7. |
|28.||Toungoussova OS, Sandven P, Mariandyshev AO, Nizovtseva NI, Bjune G, Caugant DA. Spread of drug-resistant Mycobacterium tuberculosis strains of the Beijing genotype in the Archangel Oblast, Russia. J Clin Microbiol 2002; 40 : 1930-7. |
|29.||Asiimwe BB, Ghebremichael S, Kallenius G, Koivula T, Joloba ML. Mycobacterium tuberculosis spoligotypes and drug susceptibility pattern of isolates from tuberculosis patients in peri-urban Kampala, Uganda. BMC Infect Dis 2008; 8 : 101. |
|30.||Glynn JR, Crampin AC, Traore H, Yates MD, Mwaungulu FD, Ngwira BM, et al. Mycobacterium tuberculosis Beijing genotype, northern Malawi. Emerg Infect Dis 2005; 11 : 150-3. |
|31.||Almeida D, Rodrigues C, Ashavaid TF, Lalvani A, Udwadia ZF, Mehta A. High incidence of the Beijing genotype among multidrug-resistant isolates of Mycobacterium tuberculosis in a tertiary care center in Mumbai, India. Clin Infect Dis 2005; 40 : 881-6. |
|32.||Hasan Z, Tanveer M, Kanji A, Hasan Q, Ghebremichael S, Hasan R. Spoligotyping of Mycobacterium tuberculosis isolates from Pakistan reveals predominance of Central Asian Strain 1 and Beijing isolates. J Clin Microbiol 2006; 44 : 1763-8. |
|33.||Varma-Basil M, Kumar S, Arora J, Angrup A, Zozio T, Banavaliker JN, et al. Comparison of spoligotyping, mycobacterial interspersed repetitive units typing and IS6110-RFLP in a study of genotypic diversity of Mycobacterium tuberculosis in Delhi, North India. Mem Inst Oswaldo Cruz 2011; 106 : 524-35. |
|34.||Dobner P, Rusch-Gerdes S, Bretzel G, Feldmann K, Rifai M, Loscher T, et al. Usefulness of Mycobacterium tuberculosis genomic mutations in the genes katG and inhA for the prediction of isoniazid resistance. Int J Tuberc Lung Dis 1997; 1 : 365-9. |
|35.||Marttila HJ, Soini H, Eerola E, Vyshnevskaya E, Vyshnevskiy BI, Otten TF, et al. A Ser315Thr substitution in KatG is predominant in genetically heterogeneous multidrug-resistant Mycobacterium tuberculosis isolates originating from the St. Petersburg area in Russia. Antimicrob Agents Chemother 1998; 42 : 2443-5. |
|36.||Varela G, Gonzalez S, Gadea P, Coitinho C, Mota I, Gonzalez G, et al. Prevalence and dissemination of the Ser315Thr substitution within the KatG enzyme in isoniazid-resistant strains of Mycobacterium tuberculosis isolated in Uruguay. J Med Microbiol 2008; 57 : 1518-22. |
[Table 1], [Table 2], [Table 3], [Table 4]