SUMMARY
Mycobacterium tuberculosis (Mtb) strains designated as RDRio are responsible for a large cluster of new cases of tuberculosis (TB) in Rio de Janeiro. They were previously shown to be associated with severe manifestations of TB. Here, we used three genotyping methods (IS6110 RFLP, spoligotyping, and multiplex PCR) to characterize RDRio and non-RDRio strains from the metropolitan area of Vitória, State of Espirito Santo in southeast Brazil to determine strain diversity and transmission patterns. Strains with identical IS6110 RFLP patterns were considered to belong to a cluster indicative of recent transmission. Between 2000 and 2010, we identified 5470 new TB patients and genotyped 981 Mtb strains. Of these, 376 (38%) were RDRio. By RFLP, 180 (48%) of 376 RDRio strains and 235 (40%) of 593 non-RDRio strains belonged to RFLP cluster pattern groups (p = 0.023). Simpson’s diversity index based on RFLP patterns was 0.96 for RDRio and 0.98 for non-RDRio strains. Thus, although RDRio strains appear to be comprised of a fewer number of RFLP genotypes, they represent a heterogeneous group. While TB cases caused by RDRio appear more likely to be due to recent transmission than cases caused by non-RDRio strains, the difference is small. These observations suggest that factors other than inherent biological characteristic of RDRio lineages are more important in determining recent transmission, and that public health measures to interrupt new transmissions need to be emphasized for TB control in Vitória.
Keywords: Tuberculosis, DNA fingerprinting, Mycobacterium tuberculosis, Epidemiologic surveillance, RDRio
1. Introduction
In 2004, the Brazilian National Tuberculosis Control Program designated 315 cities as priority regions for surveillance, control and prevention of TB,1,2 including eight municipalities in the State of Espírito Santo, in southeastern Brazil. Despite efforts to improve the control program such as the introduction of directly observed therapy-short course (DOTS) and the family health program, the TB incidence has remained almost unchanged in Espírito Santo State over the past 10 years.1,3 One possible explanation could be that active case finding efforts to interrupt new transmissions in high-risk populations have been inadequate. Another possible explanation may be that there were undetected outbreaks or spread of some highly transmissible strains in the state.4
In 2000, in collaboration with the State Health Department, the University of Espírito Santo implemented a laboratory network to improve TB diagnosis through standardized training of laboratory personnel and utilization of culture for all suspected TB diagnoses. As part of this strategy an information system entitled “TB-Notes” was created based on Lotus Notes™. This network includes four municipalities that report 70% of TB cases in the state, including Vitória, the state capital.
In urban settings with highly mobile populations, studies have suggested that identical IS6110 RFLP patterns in Mtb isolates from epidemiologically linked patients reflect TB resulting from recent transmission.5,6 Strains with IS6110 RFLP patterns that are identical or similar are said to belong to a cluster and represent recent transmission. In 2007, Lazzarini et al. reported the identification of Mtb strains from patients in Rio de Janeiro, Brazil that were characterized by a deletion of a 26.3-kb region that included 10 genes and was referred to as RDRio. It occurred exclusively among strains of the Latin American–Mediterranean (LAM) spoligotype family.7–9 The high prevalence in Rio de Janeiro of this RDRio lineage and its association with more severe disease and cavitary lung lesions suggested enhanced virulence and transmission of this lineage, and therefore its high local prevalence.7–9
However, previous studies have not demonstrated whether TB caused by RDRio strains is more likely to result from recent transmission or reactivation of an old infection.7–9 The RDRio designation is based on a multiplex PCR-based test.7,9 Strains given this designation actually belong to multiple genotypes by IS6110 RFLP analysis. The present study was therefore undertaken to investigate whether RDRio strains in Vitória are any more likely than non-RDRio strains to represent recent transmission by IS6110 RFLP analysis. If the proportion of RDRio strains belonging to cluster RFLP patterns is similar to that for non-RDRio strains, then the high prevalence of RDRio strains may represent recent introduction of these strains into the community and not necessarily their enhanced virulence.
2. Materials and methods
2.1. Study design and patient data
This was a retrospective, laboratory-based surveillance study of all new TB cases diagnosed in the metropolitan area of Vitória between 2000 and 2010. The metropolitan area comprises four municipalities (Vitória, Cariacica, Serra and Vila Velha) with about 1,200,000 inhabitants.
General epidemiologic characteristics including gender, age, geographic origin, HIV status, previous history of TB and drug-susceptibility profile were collected from laboratory records or medical files and also from the national surveillance system (SINAN).
Countries which have financial resources recommend performing drug-susceptibility testing (DST) for all patients at diagnosis. 10 Countries with limited resources, such as Brazil, do not follow this practice and DST is only recommended for special cases, such as retreatment after failure, relapse, patients with suspected primary resistance and case contacts of resistant tuberculosis.11 In this study, we have only reported the DST results of the isolates of those patients who had this test requested.
2.2. IS6110 restriction fragment length polymorphism (RFLP) analysis
Genomic DNA isolation and PvuII IS6110 RFLP analysis was performed according to standardized methods.12
The IS6110 RFLP band patterns were analyzed by the Bio-Numerics software version 6.5 (Applied Maths – Belgium). A dendrogram was constructed to show the degree of similarity among the isolates by un-weighted pair group method of arithmetic average (UPGMA) and the Dice index (1.0% tolerance, 1.5% optimization). The analysis was done in 3-year and 11-year windows. Two or more strains with indistinguishable RFLP patterns (fingerprint) were defined to belong to the same RFLP cluster. Strains with RFLP patterns shown to be at least 70% similar were defined to belong to the same family.
Simpson’s diversity index was used to calculate the relative frequencies of different number of IS6110 RFLP genotypes in RDRio and non-RDRio groups.13
2.3. Spoligotyping
All Mtb isolates were also submitted to spoligotyping analysis by a commercial kit (Ocimum Biosolutions Inc., India) according to a standard protocol.14,15 The results were recorded in a 43-digit binary format representing the 43 spacers. The spoligotyping patterns were compared with an updated SpolDB415 database – SITVIT WEB16 of Pasteur Institute of Guadeloupe (http//:www.pasteur-guadeloupe.fr: 8081/SITVIT_ONLINE) that provides information on the Mtb spoligotypes worldwide. The orphan patterns were analyzed by the algorithm, SPOTCLUST,17 to identify the probability of a strain to belong to spoligotype families, based on their spoligotyping patterns.
2.4. Long sequence polymorphism (LSP)
A multiplex PCR adapted from Gibson et al.18 was performed to differentiate isolates belonging to the RDRio lineage. The PCR reaction was performed in a final volume of 25 µL, containing 20 pmol of primers BridgeF: 5′ – CAC TCC GGC TGC CAA TCT CGT C – 3′, BridgeR: 5′ – CAC CGC GAG GCT GAA TGA GAC CA – 3′, IS1561F: 5′ – GAC CTG ACG CCG CTG ACA C –3′, IS1561R: 5′ – CAC CTA CAC CGC TTC CTG CC –3′; 1U Taq polymerase (Invitrogen Life Technologies, USA), buffer 1X, MgCl2 MgCl2 2.0 mM, DMSO 5%, dNTP 0.2 mM deionized water and 20 ng of genomic DNA. The amplification was done in a GeneAmp PCR System 2400 thermocycler (Perkin Elmer, USA). The cycle conditions were 95 °C for 10 min, followed by 35 cycles at 95 °C for 1 min, 60 °C for 1 min and 72 °C for 4 min, and a final extension at 72 °C for 10 min. The PCR products were detected in 1.5% agarose gel treated with ethidium bromide, under UV transillumination. The identification of RDRio or non-RDRio strains genotypes was established according to a PCR product band size; the presence of a band of 1175 bp indicated RDRio and a band of 530 bp indicated non-RDRio strains.
2.5. Statistics analysis
Covariates were divided into two subgroups: demographic factors (e.g., age, race/ethnicity, gender, educational level) and clinical factors (e.g., symptoms and existing medical conditions). Odds ratios (OR) along with the 95% confidence intervals (CI) and p-value were estimated. In addition, univariate logistic regression was performed for each variable of interest and OR with a p-value <0.10 were included in the multivariate logistic regression for calculation of adjusted odds ratios for clustered isolates. Two models were created to show differences between variables. In the first model, the outcome was set up with clustered isolates; in the second model, the outcome was set up with RDRio genotypes. All analyses were conducted with the Stata® statistical package, Version 9 (StataCorp, College Station, TX, 2001).
3. Results
Between January 2000 and December 2010, 5470 TB patients were diagnosed in the metropolitan area of Vitória. Here, only patients with a positive culture and with bacteriological confirmation for Mtb were included in this study. Good quality RFLP patterns were obtained from isolates from 981 patients (Figure 1).
Figure 1.
Flow chart of number of isolates and genotyping methods.
Demographic, clinical and diagnostic characteristics for all patients are summarized in Table 1 and stratified by RFLP cluster pattern association. The median age of participants was 36 years and the majority was male and non-White. There was no difference between RFLP cluster and non-cluster isolates related to gender, race, educational level, residence and age (p > 0.05).
Table 1.
Demographic and clinical characteristics of TB patients according to their Mtb isolates’ IS6110 RFLP cluster patterns in the metropolitan area of Vitória, Brazil, 2000–2010.
| Clustered isolates (%)  | 
Non-clustered isolates (%)  | 
OR (95% CI) | p-value | |
|---|---|---|---|---|
| Gender | ||||
| Female | 125 (43%) | 169 (57%) | 0.97 (0.72–1.28) | 0.81 | 
| Male | 298 (43%) | 389 (57%) | ||
| Race | ||||
| White | 82 (40%) | 123 (60%) | 0.81 (0.57–1.15) | 0.81 | 
| Non-White | 214 (45%) | 261 (55%) | ||
| Municipality | ||||
| Vitória city | 267 (45%) | 332 (55%) | 1.18 (0.90–1.55) | 0.21 | 
| Other cities | 153 (40%) | 225 (60%) | ||
| Age | ||||
| Mean (SD) | 36.17 (13.85) | 37.61 (13.87) | - | 0.11 | 
| TST | ||||
| Positive = 10 mm | 365 (50%) | 370 (50%) | 0.89 (0.50–1.57) | 0.67 | 
| Negative <10 mm | 31 (52%) | 28 (48%) | ||
| HIV | ||||
| Positive | 45 (41%) | 65 (59%) | 0.91 (0.59–1.40) | 0.19 | 
| Negative | 303 (43%) | 400 (57%) | ||
| TB presentation | ||||
| Pulmonary | 377 (44%) | 488 (56%) | 1.25 (0.77–1.89) | 0.38 | 
| Extra-pulmonary | 39 (39%) | 61 (61%) | ||
| Smear results | ||||
| Positive | 312 (46%) | 369 (54%) | 1.42 (1.03–1.98) | 0.026 | 
| Negative | 80 (37%) | 135 (63%) | ||
| Genotype | ||||
| RDRio | 180 (48%) | 196 (52%) | 1.35 (1.04–1.77) | 0.02 | 
| Non-RDRio | 235 (40%) | 358 (60%) | 
OR = odds ratio; CI = confidence interval.
The results of RFLP analysis in the 3-year and 11-year windows are shown in Figure 2. DST was done for 338 isolates. Among these, 13 (7%) of 180 clustered isolates were resistant to at least one drug and; while 17 (11%) of 158 non-clustered isolates were resistant to at least one drug (p = 0.2, Chi-square test). The RDRio analysis showed that 13 (10%) of 128 RDRio isolates were resistant to at least one drug and; while 17 (8%) of 203 non-RDRio isolates were resistant to at least one drug (p = 0.58, Chi-square test). Of 30 resistant isolates, 7 (2%) were multidrug resistant (MDR); 2 (0.6%) of them were RDRio and 5 (1.4%) were non-RDRio genotype.
Figure 2.
Percentage of RFLP type clustering of isolates at differential time intervals.
We obtained chest X-ray information from 878 (90%) of the cases; 865 (99%) had pulmonary TB. Of these, 377 (44%) and 488 (56%) were infected with Mtb strains belonging to an RFLP cluster and a non-cluster pattern, respectively (p = 0.38). Among the 681 acid-fast bacilli (AFB) sputum smear test-positive patients, 312 (46%) and 369 (54%) belonged to cluster patterns, while among 215 sputum smear test-negative patients, 80 (37%) and 135 (63%) were infected with Mtb strains belonging to a cluster and a non-cluster pattern, respectively (OR = 1.42; 95% CI: 1.03–1.98; p = 0.026).
Multivariate analysis revealed that only RDRio genotype strains (ORadj 1.52; 95% CI: 1.12–2.05) and Mtb isolates from smear-positive sputum samples (ORadj 1.50; 95% CI: 1.01–2.21) were significantly likely to belong to RFLP clusters.
Among 981 isolates, 375 (38%) were RDRio and 594 (61%) were non-RDRio strains; 12 (1%) isolates had two bands by multiplex PCR, indicating a mixed population. Of the 375 RDRio and 594 non-RDRio isolates, 180 (48%) and 235 (40%) belonged to an RFLP cluster, respectively (p = 0.022, Chi-square test; OR = 1.35, 95% CI:1.04–1.77) as shown in Table 2. We found in the univariate analysis that patients infected with RDRio were more likely to have pulmonary disease (OR = 2.75; 95% CI: 1.63–4.83; p = 0.0001).
Table 2.
Demographic and clinical characteristics of patients infected with RDRio or non- RDRio Mtb strains in the metropolitan area of Vitória, Brazil, 2000–2010.
| RDRio isolates (%)  | 
Non-RDRio isolates (%)  | 
OR (95% CI) | p-value | |
|---|---|---|---|---|
| Gender | ||||
| Female | 117 (40%) | 176 (60%) | 1.07 (0.81–1.44) | 0.59 | 
| Male | 258 (38%) | 419 (62%) | ||
| Race | ||||
| White | 73 (36%) | 131 (64%) | 0.85 (0.61–1.19) | 0.34 | 
| non-White | 302 (39%) | 464 (61%) | ||
| Municipality | ||||
| Vitória | 231 (39%) | 363 (61%) | 1.02 (0.77–1.34) | 0.85 | 
| Other cities | 144 (38%) | 232 (62%) | ||
| Age | ||||
| Mean (SD) | 36.7 (13.35) | 371 (14.26) | - | 0.68 | 
| TST | ||||
| Positive = 10 mm | 365 (50%) | 370 (50%) | 0.89 (0.50–1.57) | 0.67 | 
| Negative <10 mm | 31 (53%) | 28 (47%) | ||
| HIV | ||||
| Positive | 37 (35%) | 70 (65%) | 0.83 (0.53–1.29) | 0.40 | 
| Negative | 271 (39%) | 427 (61%) | ||
| TB presentation | ||||
| Pulmonary | 351 (41%) | 503 (59%) | 2.75 (1.63–4.83) | 0.0001 | 
| Extra-pulmonary | 20 (20%) | 79 (80%) | ||
| Smear results | ||||
| Positive | 264 (39%) | 409 (61%) | 1.04 (0.75–1.45) | 0.79 | 
| Negative | 81 (38%) | 131 (62%) | ||
| RFLP | ||||
| Clustered isolates | 180 (43%) | 235 (57%) | 1.35 (1.04–1.77) | 0.022 | 
| Non-clustered isolates | 196 (35%) | 358 (65%) | 
OR = odds ratio; CI = confidence interval.
Multivariate analysis revealed that clustered isolates (ORadj 1.46; 95% CI: 1.12–1.90) and pulmonary disease (ORadj 2.9; 95% CI: 1.74–4.85) were significantly associated with RDRio genotype. Genotyping by IS6110 RFLP showed that the 180 RDRio isolates in clusters belonged to 45 distinct IS6110 RFLP genotypes while the 235 non-RDRio clustered isolates were comprised of 75 distinct genotypes (p = 0.30). Simpson’s diversity index for RDRio was 0.96 and for non-RDRio was 0.98, indicating great diversity in both groups.
Spoligotype data were obtained from 619 isolates (63%) (Supplementary Figure 1); 530 could be defined to the SIT level while 89 had orphan patterns. In addition, 384 (62%) were of the non-RDRio genotype, 225 (36%) of the RDRio genotype and 10 (2%) were of mixed genotypes, similar to the distribution found with the RFLP analysis. Spoligotyping family and SIT information are presented in Table 3. We also observed RDRio among 2 isolates defined as T (1%), 5 as Haarlem (2%), 6 (3%) as unknown families and 20 orphan genotypes (9%).
Table 3.
Spoligotyping patterns and frequency of Shared International Type (SIT).
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4. Discussion
Several studies have reported the use of genotyping tests to characterize bacterial population structure of Mtb strains and their transmission in defined communities. A high prevalence of TB caused by identical or related Mtb lineages in a community could represent recent introduction or enhanced virulence of such strains, or some epidemiologic factors that facilitate increased transmission of such strains. Whether a genetic makeup of Mtb strains is a determinant of TB transmission or severity of disease is often difficult to assess because of limited clinical data.19
Lazzarini et al. in 2007 described Mtb RDRio genotype as a clonally-derived sublineage within the LAM family, characterized by a deletion of a 26.3-kb region that included 10 genes.7 The Mtb RDRio sublineage is the most prevalent cause of TB in Rio de Janeiro and is also present in other Brazilian and world regions7–9 The high prevalence in Rio de Janeiro of this RDRio lineage and its association with more severe disease and cavitary lung lesions suggested enhanced virulence of strains belonging to this lineage.7–9
As far as we know, this study in Espírito Santo is the first population-based study to determine the incidence of RDRio in a Brazilian population and the largest number of strains analyzed by RFLP typing in a single study in Brazil. The prevalence of TB caused by Mtb RDRio in Espírito Santo was found to be 38%, similar to other studies. However, the other studies were based on convenience clinical isolates collected in hospitals and TB reference laboratories.8
In contrast to most studies done in Brazil, our study found that 6% of the RDRio isolates belonged to spoligotyping families other than LAM and this was also reported by Weisenberg et al.9
In the univariate and multivariate analysis, RDRio genotype strains were significantly more likely to belong to RFLP cluster patterns than non-RDRio strains, indicating TB caused by RDRio were more likely to represent recent transmission. Isolates from AFB smear-positive patients were also more likely to belong to RFLP cluster patterns. Several studies have demonstrated that patients who have cavitary lung disease or positive AFB smears in sputum are indeed high transmitters, and hence such strains may be more overly represented in communities.20,21
Studies published after 1999 have generally used more than one genotyping method to demonstrate clustering.22–24 The use of only one high-resolution typing method (IS6110 RFLP) for a subset of the samples is one limitation of our present study.
Nevertheless, the findings of the analysis of RFLP in this study showed that the percentage of clustering is dependent on the number of Mtb isolates analyzed. The proportion of clustering increases as the number of isolates in each year window period increases, as reported by van Soolingen et al.25 As seen in Figure 2, the proportion of strains with clustered RFLP patterns during the period (2003–2005) with the highest number (518) of isolates was similar to that found for all the isolates (981) obtained during the entire 11-year period.
The fact that we found a greater proportion RDRio genotypes to belong to RFLP cluster patterns could mean the following: (i) that the RDRio strains are more biologically “fit”, as suggested by Lazzarini et al.,8 or (ii) that these strains were recently introduced into this region of Brazil and evolved after the introduction. RDRio was previously reported to be associated with more severe TB,8 but in our study, we observed that it was less likely to cause extrapulmonary disease than non-RDRio strains.
Although the proportion of cluster patterns among RDRio strains (48%) was significantly greater than that among non-RDRio strains (40%), it is not clear if this difference could be attributed to enhanced virulence or transmissibility of the RDRio strains. The RFLP genotypes showed a high level of diversity in both RDRio (Simpson’s diversity index = 0.96) and non-RDRio strains (Simpson’s diversity index = 0.98), indicating both groups of Mtb strains were highly heterogeneous. Most of the isolates included in the previous study in Rio de Janeiro were obtained from patients with clinically suspected “complicated” TB, advanced disease, or associated comorbidities, which might have contributed to the association of RDRio genotypes with a more “severe” disease.8 From a public health and TB control perspective, if 40–48% of new TB cases in a community are resulting from recent transmission, the new cases that may be attributed some biologic factors (possibly 8%) appear to be quite small. The priority of TB control program in Espírito Santo should emphasize programs to identify epidemiologic factors that facilitate enhanced transmission so that such factors could be eliminated.
Supplementary Material
Acknowledgements
We would like to acknowledge the Conselho Nacional de Desenvolvimento Científico e Tecnológico –CNPq by Edital MCT/CNPq/MS-SCTIE-DECIT N° 25/2006 – Doenças negligenciadas, National institute of Health on the ICHORTA grant # 5 U2R TW006883-02 and ENSP-011-LIV-10-2-3.We thank Dr. Valdério do Valle Dettoni for helping with the medical files. We are also grateful to João Batista Pereira da Silva for technical laboratory support.
Appendix A. Supplementary data
Supplementary data related to this article can be found at http://dx.doi.org/10.1016/j.tube.2012.09.001.
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