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Journal of Clinical Microbiology, May 2006, p. 1763-1768, Vol. 44, No. 5
0095-1137/06/$08.00+0 doi:10.1128/JCM.44.5.1763-1768.2006
Copyright © 2006, American Society for Microbiology. All Rights Reserved.
Department of Pathology and Microbiology, The Aga Khan University, Karachi, Pakistan,1 Department of Bacteriology, Swedish Institute for Infectious Diseases Control, Stockholm, Sweden2
Received 20 June 2005/ Returned for modification 27 October 2005/ Accepted 10 March 2006
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The most commonly used methods of genotyping employ the IS6110 element to fingerprint strains (24). In addition, spacer oligotyping (spoligotyping) based on the variation of spacers (36 to 41 bp) in the direct-repeat region of the Mycobacterium tuberculosis chromosome has been used with great efficiency to define predominant clades worldwide (18). Although less discriminatory than IS6110 typing, spoligotyping is a rapid, quick, and robust method of genotyping M. tuberculosis and is particularly useful in the study of South Asian M. tuberculosis strains, which commonly have few copies of IS6110 elements (8, 14). Recently, data from international spoligotyping studies have identified a growing number of important clades or genogroups (11, 28).
Beijing strains are an aggressively expanding clone that has been identified in a number of populations across the world (13). This family is characterized by a highly similar multibanded IS6110 pattern and a common spoligotype pattern with the absence of spacers 1 to 34 and the presence of only the last nine spacers (30). It includes the M. tuberculosis W strain associated with multidrug resistance (MDR) in New York (1, 5, 15). The Beijing family is reportedly the most prevalent spoligotype worldwide and constitutes 90 to 92% of the M. tuberculosis strains in China (25, 30). High rates of infection with Beijing strains in the countries neighboring China suggest that this particular strain may have radiated from Beijing to other regions. The prevalence of Beijing strains in Southeast Asia has been reported to be 30 to 100% in different studies. A lower prevalence is reported in South Asia and the Middle East, 8% in Delhi (27), 10% from one region of Iran (10), and 31% in a study in Dhaka (3).
A second predominant cluster in the South Asian region is the Central Asian strain 1 type (CAS1) or Delhi type genogroup, which is characterized by the absence of spacers 4 to 7 and 23 to 34 (4). The presence of CAS1 strains in his region is supported by recent studies of M. tuberculosis isolates from India (27) and Bangladesh (3).
To date, there is very limited genotypic information on M. tuberculosis strains circulating in Pakistan. The World Spoligotyping Database SpolDB3.0 describes an update on the global distribution of M. tuberculosis complex spoligotypes but shows little information about Pakistan (11). In this study, we have typed M. tuberculosis isolates from specimens received at the clinical laboratory of The Aga Khan University Hospital, Karachi, Pakistan, in 2003 and 2004 in order to detect the presence of Beijing strains within the country. We have also investigated the association between predominant spoligotypes and drug resistance among our isolates.
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Two hundred eighty-four isolates were from pulmonary sites, i.e., sputum (n = 269), pleural exudate (n = 6), and bronchoalveolar lavage fluid (n = 9), while 30 isolates were from extrapulmonary sites.
Mycobacterial culture and antibiotic susceptibility. Mycobacterial cultures were performed with both liquid and solid media. Respiratory samples were decontaminated by using N-acetyl-L-cysteine sodium hydroxide prior to culture. Samples from sterile sites were processed without decontamination (23). All specimens were concentrated by centrifugation (3,000 x g) for 30 min, and sediments were cultured at 37°C with BACTEC 460 (Becton Dickinson Diagnostic Instruments Systems) and Lowenstein-Jensen medium. The growth index of inoculated BACTEC vials was checked for 4 weeks; Lowenstein-Jensen slants were incubated for up to 8 weeks. M. tuberculosis was identified by the BACTEC NAP TB differentiation test (Becton Dickinson).
Susceptibility testing was performed by the standard agar proportion method with enriched Middlebrook 7H10 medium (BBL) at the following final drug concentrations: rifampin, 1 µg/ml and 5 µg/ml; isoniazid, 0.2 µg/ml and 1 µg/ml; streptomycin, 2 µg/ml and 10 µg/ml; ethambutol, 5 µg/ml and 10 µg/ml (17, 22, 31). Pyrazinamide sensitivity was tested with BACTEC 7H12 medium, pH 6.0, at 100 µg/ml (BACTEC PZA test medium; Becton Dickinson) in accordance with the manufacturer's instructions. To ensure the selection of strains with high-level resistance for this study, however, only resistance to the higher concentrations was used for analysis. MDR was defined in accordance with standard criteria of resistance to at least isoniazid and rifampin.
DNA methods. Mycobacteria were cultured on Middlebrook 7H10 agar. DNA extraction from mycobacterial colonies was carried out by the cetyltrimethylammonium bromide method (16). Spoligotyping was carried out with a commercially available kit from Isogen Bioscience BV, Maarssen, The Netherlands, according to the manufacturer's instructions. Spoligotyping based on the 43 spacers of the direct-repeat region of the M. tuberculosis complex was carried out with primers DRa (5'GGTTTTGGGTCTGACGAC 3') and DRb (5'CCGAGAGGGGACGGAAAC 3') as originally described by Kamerbeek et al. (18).
Data analysis. Spoligotyping results were analyzed with the Bionumerics software program (BioSystematica). Dendrograms were generated by the unweighted-pair group method using average linkages. A cluster was defined as two or more isolates from different patients with identical spoligotype patterns. We defined unique spoligotypes as those which did not cluster with any other sample in our study. The spoligotypes were compared with the 36 most prevalent M. tuberculosis subfamilies as identified by the World Spoligotyping Database SpolDB3.0 of the Pasteur Institute of Guadeloupe (www.cdc.gov/ncidod/EID/vol8no11/02-0125-Table.htm) (12). In addition, all clusters obtained were compared with the shared types (STs) present in SpolDB3.0 (http://www.pasteur-guadeloupe.fr/tb/spoldb3) (11). This database contains information on the prevalence of spoligotypes in different countries and their relative occurrence.
Pearson's chi-square test was used to determine statistical associations between strain types and specific parameters with SPSS software. Odds ratios were calculated with 95% confidence intervals. A P value of <0.05 was considered evidence of a significant difference.
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Spoligotyping. All 314 isolates were spoligotyped and analyzed (Fig. 1). A total of 197 (63%) isolates were grouped into 22 different clusters, while 119 (37%) isolates had unique spoligotypes. Previously, 18 different STs had been identified as having geographic specificity to Pakistan as listed in SpolDB3.0 (11). We compared our 22 clusters with this list and found them to include six of the spoligotypes attributed to Pakistan in SpolDB3.0. These six spoligotypes included ST1 (Beijing strain), ST26 (CAS1), ST53 (T1), ST11 (East African Indian strain 3), ST25, and ST486 (11). Our isolates did not include ST27, ST37, ST48, ST50, ST52, ST172, ST236, ST281, ST381, ST428, ST520, and ST794, which have previous been identified by SpolDB3.0 as being present in Pakistan.
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FIG. 1. Dendrogram of Pakistani isolates (Pearson correlation). All isolates were spoligotyped, and data were analyzed with the Bionumerics software program. A dendrogram was calculated on the basis of the Jacquard index for pairwise analysis of strains by the unweighted-pair group method using average linkages. The clustering pattern of 314 isolates is illustrated. The five most predominant shared spoligotypes, CAS1 (n = 121), Beijing (n = 18), T1 (n = 7), ST357 (n = 7), and East African-Indian strain 3 (EAI3; n = 5), are indicated.
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TABLE 1. Spoligotypes shared by M. tuberculosis isolates evaluated in this study
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The most prevalent shared spoligotype in our population, however, was ST26 or CAS1, also known as the Delhi strain (27); 39% (n = 121) of the strains analyzed belonged to this spoligotype. In addition, differing levels of homology with CAS1 was also shown by other strains in the study population; 13 strains showed 96% homology, 24 strains showed 92% homology, and 31 strains showed 80% homology. The related CAS2 strain was also present. The CAS clade included a total of 174 isolates.
Analysis of agewise clustering of M. tuberculosis spoligotypes indicated that of the 228 isolates, 145 (64.4%) were clustered in the 15- to 45-year age group, compared with 45 (59%) out of a total of 76 isolates that clustered in the >45-year age group. The difference was not significant (odds ratio, 1.6; 95% confidence interval [95% CI], 0.953 to 2.716). Similarly, there was no association between patient age groups and the occurrence of the CAS1 or Beijing strain.
Pulmonary versus extrapulmonary isolates. We analyzed the association between clustered and nonclustered (unique) spoligotypes and the source (pulmonary or extrapulmonary) of the M. tuberculosis isolates (Table 2). There was no statistically significant difference in the distribution of clustered spoligotypes (CAS1, Beijing, or others) between the pulmonary and extrapulmonary groups. However, 60% of the isolates from extrapulmonary sources were unique, compared with 43% of the pulmonary isolates. This difference was statistically significant (P = 0.005; 95% CI, 8.8 to 43.1).
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TABLE 2. Cluster distribution among pulmonary and extrapulmonary M. tuberculosis isolates
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TABLE 3. Association of antimicrobial resistance with spoligotypes
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We found the CAS1 or type 26 strain (14) to be predominant (39%) among the 314 isolates tested, followed by Beijing isolates (6%). CAS1 has been also identified as a predominant strain in Delhi (27) and Mumbai, India (2). Furthermore, our results also compare well to data from Delhi, India, where 22% of 105 isolates were of the CAS1 strain and 8% were Beijing isolates (27). Another Delhi-based study showed that 75% of the strains belonged to the Delhi genogroup (4), while a study carried out in Dhaka, Bangladesh, identified Beijing strains as the most common type in that population (3). Geographically speaking, India provides us with the closest comparison. Additional clustered spoligotypes identified in Indian studies were ST18, ST23, ST31, ST21, ST13 (4), ST26, ST54, and ST1 (27). Of these, we identified ST26 (n = 121), ST1 (n = 18), and ST21 (n = 1) among our Pakistani isolates. The identification of a dominant spoligotype common to India and Bangladesh illustrates an important trend in the M. tuberculosis infection pattern in the South Asian region.
Recent transmission of TB is indicated by the increased incidence observed in the younger age group (15 to 45 years). However, we did not find any significant clustering between age groups and spoligotypes in our study. This is in contrast to other studies, which have indicated significant clustering in younger and also in older age groups (27). Our data further confirm that the predominant genogroups CAS and Beijing are well established in the region and are not a result of recent introduction.
We found CAS1 to be equally associated with drug sensitivity or drug resistance and did not find it to be associated with MDR TB (P = 0.844). This correlates with a report by Singh et al. (27) but does not correlate with a study of 65 isolates from Bombay, India, reporting an association of CAS1 with MDR (20). The difference may be attributed to the smaller sample size in the earlier study (20) and also to the fact the study in Bombay had only included strains from one hospital in an urban setting and was therefore likely to include a larger proportion of resistant strains.
As our study was based on referred patients presenting at a clinical laboratory, we were unable to determine any epidemiological associations between patients and strains. However, it was clear that the predominant clustersCAS1 and Beijingwere present in locations dispersed throughout the country and were therefore not associated with a recent or epidemic strain.
We found that the extrapulmonary isolates were significantly associated with unique spoligotypes. There is little information as to the pathogen dynamics that result in dissemination to extrapulmonary sites in the host. A recent study by de Viedma et al. (9) suggests increased infectivity of strains which are found at extrapulmonary locations. Given that the predominant TB site is pulmonary and that extrapulmonary disease may be associated with more-virulent isolates, it is not surprising to observe less genetic variation in pulmonary compared to extrapulmonary isolates.
In our study population, we noted a higher relative risk of MDR among Beijing strains. Association between Beijing strains and MDR varies worldwide; whereas such an association is reported in studies in the United States, Estonia, and Vietnam (6), it has not been noted in countries such as China and Indonesia, where the representation of the Beijing strains in the population is greater (29). However, a recent study in Mumbai, India, also showed a high frequency of Beijing strains (35%) among the MDR isolates (2).
The diversity of global TB clinical isolates has been illustrated by the major spoligotype families and patterns identified by the World Spoligotyping Database at the Pasteur Institute, Guadeloupe. SpolDB3.0 shows that the 24 most prevalent isolates represent 53% of the strains present worldwide (11). We did not compare all of our strains against SpolDB3.0. However, we ran comparisons of all of the clusters identified in our study (Table 1) with SpolDB3.0 and also of the 36 most common spoligotypes identified by the database. By using this methodology, in addition to the CAS and Beijing strains, we identified the East African-Indian family, the T group, and the Latin American-Mediterranean family of M. tuberculosis in our population.
In addition to the predominant groups identified, we also were able to identify the occurrence of clusters of rare or localized STs listed in SpolDB3.0 that have previously been found in North America, Australia, and Europe in addition to those found in neighboring Iran and India. While more community-based data are required in order to understand transmission patterns and to monitor strain resistance, our study provides essential information about M. tuberculosis strains circulating in Pakistan. Strain analysis, together with virulence studies, will also help in pinpointing isolates associated with higher morbidity and mortality, with the aim of directing efforts to limit the spread of those strains within the region. In addition, knowledge of prevalent strains will help evaluate the efficacy of commonly used TB vaccines in the region.
Thanks to Gunilla Kallenius and Ramona Petersson for guidance. Thanks also to Amin Kabani and Meenu Sharma of the National Reference Centre for Mycobacteriology, Winnipeg, Manitoba, Canada, for support in the initial phase of this study.
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