|
Memórias do Instituto Oswaldo Cruz, Vol. 106, No. 3, 2011, pp. 267-273 ARTICLES Spoligotyping of clinical Mycobacterium tuberculosis isolates from the state of Minas Gerais, Brazil Silvana Spíndola de Miranda+; Wânia da Silva Carvalho; Philip Noel Suffys; Afrânio Lineu Kritski; Martha Oliveira; Noemi Zarate; Thierry Zozio; Nalin Rastogi; Brigitte Gicquel Departamento de Clínica Médica/Pneumologia, Faculdade de Medicina, Universidade Federal de Minas Gerais, Av. Alfredo Balena 190, 301030-100 Belo Horizonte, MG, Brasil + Corresponding author: silvanaspindola@gmail.com Financial support: FAPEMIG, CAPES The SITVIT2 database project was partially financed by the Regional Council of Guadeloupe (CR/08-1612: Biodiversité et Risque Infectieux dans les modèles insulaires). Received 17 August 2010 Code Number: oc11045 ABSTRACT We performed spoligotyping on 114 strains of the Mycobacterium tuberculosis (Mtb) complex that had been isolated from patients in Minas Gerais Health Units during 2004. A total of 82/114 (72%) clinical isolates were clustered and 32/114 (28%) were unique. Seven shared types containing nine strains were newly created. A total of nine patterns corresponded to unreported orphan strains, as evaluated against all of the strains recorded in the SITVIT2 proprietary database in the Institut Pasteur de la Guadeloupe. The major clades were composed of isolates that belong to the following genotypes: Latin-America and Mediterranean (63/114, 55.3%) (the ill-defined T superfamily) (12/114, 10.5%), Haarlem (8/114, 7%), X clade (6/114, 5.3%), S clade (3/114, 2.6%) and the East-African Indian and Manu types, each with 1/114 (0.9%) isolates. A considerable number of strains (n = 20, 17.5%) showed patterns that did not fall within any of the previously described major clades. We conclude the bulk of tuberculosis (TB) (92/114, 80.7%) in our location is recent evolutionary strains that belong to the principal genetic groups 2/3. Further studies on epidemiology of TB are required to understand Mtb biodiversity and TB transmission in this region. Key words: Mycobacterium tuberculosis - spoligotyping - Brazil - Minas Gerais Tuberculosis (TB) infects a significant proportion of the world population and constitutes a major public health problem, particularly in developing regions. This disease has remained endemic for many decades due the human immunodeficiency virus (HIV) epidemic, the large number of people trapped in poverty, and the disruption of the TB control program (WHO 2006). In this context, Brazil continues to be one of the 22 countries with the highest TB burden; altogether, these 22 countries account for 90% of all TB cases worldwide. However, as of 2007, a 26% decrease in TB incidence and a 32% decrease in TB mortality were verified for Brazil (SBPT 2009). In 2004, approximately 80,000 TB cases were reported in Brazil with an incidence rate of 37.1/100,000 (WHO 2006), while, in the state of Minas Gerais (MG), 6,000 new cases were reported with an incidence of 45/100,000 (WHO 2006). Of these TB patients, 16.2% were coinfected with HIV and had a TB-related death rate of 7.3%. MG is one of the most populous states in Brazil and Belo Horizonte is its capital and the fifth largest city by number of residents in Brazil. In Belo Horizonte, the TB incidence was 37.1/100,000 in 2004 and it decreased to 31/100,000 in 2008. Consequently, TB is far from being under control this region and more data are required to implement specific control measures. In the above context, the application of molecular methods permitting both rapid Mycobacterium tuberculosis diagnosis and genotyping (Kamerbeek et al. 1997, Kremer et al. 1999) is useful for understanding the prevailing TB genotypes and their circulation within the population. Spoligotyping is the second most widely used method for M. tuberculosis (Mtb) complex genotype after IS6110-based fingerprinting (Prodinger 2007) that in combination with mycobacterial interspersed repetitive units-variable-number of tandem DNA repeats (MIRU-VNTR) has been used to replace typing via restriction fragment length polymorphisms (RFLP) based on the insertion sequence IS6110. The IS6110 method has been considered the "gold standard" for genotyping Mtb since 1993. However, the IS6110 method is an expensive, laborious and lengthy methodology that requires weeks of Mtb culturing and specific software to analyse the RFLP band patterns, all of which make the interpretation and exchange of the data difficult. In addition, the IS6110 method has limited use for genotyping the Mtb isolates that contain only a few copies of IS6110 (Cave et al. 1991). Spoligotyping is based on a polymorphism in the chromosomal direct repeat locus (Kamerbeek et al. 1997) and has been applied to the characterization of the Mtb complex. Further, spoligotyping has gained increased international acceptance as a rapid, first line and discriminatory test (Sola et al. 2001, Filliol et al. 2002, Brudey et al. 2006). The spoligotyping method was also the basis for the creation of the largest genotype database for M. tuberculosis, containing a global distribution and phylogenetic analysis for worldwide spoligotypes (Brudey et al. 2006). This database provides information that is useful for comparing the patterns found within different world regions, enhancing our understanding of disease distribution dynamics. Indeed, molecular epidemiological approaches have shown that certain emerging Mtb strains, which induce more severe forms of TB (such as Beijing), manifest higher failure/relapse than others (Glynn et al. 2002, Lan et al. 2003). These more severe forms may, in turn, accentuate the TB burden even in countries with good TB control programs (Vree et al. 2007). In addition, strains from the Beijing/W and Haarlem families of Mtb are emerging in certain global regions and are associated with drug resistance (EU 2006, Marais et al. 2006). Almost no genotyping information is available for the Mtb strains circulating in the MG area in Brazil (Dalla Costa et al. 2009). Thus, we decided to characterise the Mtb complex clinical isolates from this state by spoligotyping and compare the data with patterns found around the world to pinpoint the predominant Mtb clones. PATIENTS, MATERIALS AND METHODS Patients and bacterial isolates - We studied a total of 114 TB patients that presented with positive Mtb cultures at the Health Units in MG over a one year period (January-December 2004). We included basic demographic data via a standard questionnaire from the files provided at the hospital. The majority of the TB patients included in the study were residents in the cities of Belo Horizonte, Uberlândia and Juiz de Fora (2nd and 3rd largest cities in MG) (MS 2003). Cultures were grown on Lowenstein-Jensen medium, followed by drug-susceptibility tests for rifampicin (40 µg/mL), isoniazid (INH) (0.2 µg/mL), pyrazinamide (100 µg/mL), streptomycin (4 µg/mL), ethambutol (2 µg/mL) and ethionamide (20 µg/mL). These experiments were performed using the proportion method at the TB Reference Laboratory (Ezequiel Dias Foundation) (Canetti et al. 1963). The study was approved by the local Institutional Review Board/Independent Ethics Committee. Only the isolates that were positive in the cultures and susceptibility tests were entered in the study. Spoligotyping and database comparison - A loopful of culture was suspended in tris-ethylenediamine tetraacetic acid (EDTA) (TE) buffer [10 mM Tris-HCl, 1 mM EDTA (pH 8.0)] and inactivated at 80ºC for 20 min. Nucleic acids were extracted using three consecutive cycles of boiling for 3 min and cooling for 3 min, followed by centrifugation at 12,000 g for 5 min. The pellet was resuspended in the same TE buffer, stored at -20ºC and subjected to spoligotyping using a previously published protocol (Kamerbeek et al. 1997) and a commercially available kit (Isogen Life Science BV, Utrecht, The Netherlands). The hybridised spoligotypes in binary format were converted to an octal code for comparison with the SITVIT2 proprietary database from the Pasteur Institute of Guadeloupe, which is an updated version of the previously released SpolDB4 database (available from: www.pasteur-guadeloupe.fr:8081/SITVITDemo) (Brudey et al. 2006). At the time of the study herein, SITVIT2 contained genotyping information on 70,000 Mtb clinical isolates from 160 different countries of origin. In this database, a Spoligotype International Type (SIT) designation is given to isolates with spoligotypes shared by two or more patients, as opposed to "orphan" which designates patterns reported only in a single isolate. The major phylogenetic clades were assigned according to the signatures provided by SpolDB4, which defines 62 genetic lineages/sub-lineages (Brudey et al. 2006). These include specific signatures for various Mtb complex species and the rules defining the major lineages/sublineages for Mtb sensu stricto. These clades include Central-Asian (CAS), East-African-Indian (EAI), Haarlem (H), Latin-American and Mediterranean (LAM), Manu family, the S clade, the IS6110-low banding X clade and an ill-defined T clade (defined "by default"). In parallel, a phylogenetic tree for all of the spoligotype patterns was constructed using the Phylogenetic Analysis Using Parsimony (PAUP) 4.0b software and the unweighted pair group method with arithmetic mean (UPGMA) method. RESULTS AND DISCUSSION TB remains a great public health concern in MG and in a country where TB is endemic, identifying the genotypes of the predominant strains is critical to study the disease transmission patterns and epidemiological features. The present study was performed on strains collected over one year and comprised a total of 114 patients, all fully characterised via spoligotyping. The results obtained are summarized in Figure and Tables I, II, IIIa & IIIb. Table I summarises the orphan patterns (n = 9). Table II shows seven newly-defined SITs for nine strains in this investigation. Table IIIa & IIIb describes 41 SITs containing 96 isolates that matched a preexisting shared type in the SITVIT2 database. Figure shows an UPGMA tree and illustrates the similarity between the 57 different patterns observed in this study. Regarding the orphan patterns (Table I), the majority of the patients were residents in the cities of Belo Horizonte and Uberlândia (the latter is a city with high incidence of TB in MG) (MS 2003). Fifty-six per cent of patients were male and the mean age varied between 45-59 years old, as observed in other studies in Brazil (Malaspina et al. 2008, Scholante Silva et al. 2009). All of the orphan patterns corresponded to pansusceptible strains. Note that the proportion of multidrug resistant (MDR) Mtb strains in MG is low; between 2002-2008, less than 3.5% of all Brazilian MDR-TB cases concerned the residents of MG (MS 2007). Regarding the seven newly created shared types (Table II), two strains matched between them, one matched a Brazilian strain from a previous study, one matched a strain from Cuba, one matched a strain from Italy, three matched a strain from the United States of America and, finally, one matched a strain from Martinique (French West Indies). Lastly, for each of the preexisting shared types shown in Table IIIa & IIIb, the results summarise their binary and octal groupings, the total number of strains, their geographical distribution, their genotypic lineage, as well as their percentage in this study compared with the same variable in the SITVIT2 database. Irrespective of the database comparison, 77 (67.5%) of the clinical samples were clustered (20 clusters containing 2-19 isolates). Another 37 isolates (32.4%) had unique patterns, including nine orphan strains. In addition, 105 out of 114 isolates from this study belonged to 48 shared types. Seven of these shared types contained nine strains and were newly created (Table II), whereas 41 contained 96 isolates. To discern the worldwide distribution of the major shared types encountered in this study (Table IIIa & IIIb), the strains observed herein were compared with those classified as SIT in the database. SIT42 (LAM9 sub-lineage) was predominant in our setting, in 19/114 (16.7%) of the isolates. The next most prominent types were SIT50 (H lineage) and SIT53 (ill-defined T group of strains), with 6/114, or 5.3%, strains in each case. Next, we observed SIT33 and SIT20 (also of H lineage) in 5/114, or 4.4%, of the isolates in each case. These patients were also inhabitants of areas with a high TB prevalence. The majority of them were male and young adults; an important and productive age range in this country. Only a single case of drug-resistance from an INH-monoresistant strain was isolated in the city of Belo Horizonte. The overall repartition of strains, according to major Mtb families (but not SITs stricto sensu), showed that major lineages in our setting ranked in the following order (Table IIIa & IIIb): LAM 63/114 or 55.3%, ill-defined T superfamily (defined by default) 12/114 or 10.5%, H 8/114 or 7%, X clade 6/114 or 5.3%, S clade 3/114 or 2.6% and EAI and Manu clades, 1/114 or 0.9% each. Previous studies analysing Mtb isolates from the state of Rio Grande do Sul in Southern Brazil reported the prevalence of LAM, unknown, H e T, as described in our study; however, the authors analysed a lower number of isolates within a region of low TB prevalence (Noguti et al. 2010, Von Groll et al. 2010). Interestingly, no Beijing and CAS strains were found in the investigation herein, an observation that is corroborated by a recent report from Ritacco et al. 2008. A global perspective on the spoligotype binary patterns, related SITs, and genotypic lineages is illustrated in the Phylogenetic tree shown in Figure. The majority of LAM and T strains in our study originated in patients from Belo Horizonte. Approximately 30% of these patients were either in hospitals or health care units, which could suggest an eventual link (such as nosocomial transmission). However, to support such a link, clonality of these isolates should be confirmed using more discriminatory second-line typing methods, such as either IS6110-RFLP (IS6110-RFLP) or MIRU-VNTRs, which are most appropriate for defining recent transmission (Filliol et al. 2006). In a prospective study developed using Mtb isolates from a reference TB hospital in Brazil, T was the most frequent family; T was also the most frequent in our study at 10.5% (Malaspina et al. 2008, Cafrune et al. 2009). In conclusion, we observed a high rate of clustering (77/114, 67.5%; 20 clusters containing 2-19 isolates). Further, the bulk of TB strains in our location (92/114, 80.7%) are recent evolutionary strains that belong to the principal genetic groups 2/3. Together, these data show that spoligotyping per se is not sufficient in our location for assessing the burden of recently transmitted TB. This methodology is known to overestimate the proportion of clustered cases (Filliol et al. 2006), hence, secondary typing is necessary for such extended studies. Nonetheless, we have been able to provide an initial insight into the genetic relatedness of Mtb isolates within MG. In our study, given the small pool of analysed strains and that the study period was only one year, the rate of clustering (67.5%) was significantly high. Furthermore, the genotype for these strains suggests that the prevailing TB in Brazil might have been imported via European settlers during the conquest of the new world (Brudey et al. 2006). Last, but not least, a considerable number of strains (20/114 or 17.5%) showed patterns that did not belong to any of the previously described major clades, underlining that Brazil is a fertile land for studying Mtb genotypic diversity. This type of study is important for tracing relationships among the strains and it may also aid in interrupting the chain of transmission between different communities and identifying the principal clades responsible for spreading the disease. Of course, additional studies using more discriminatory secondary line typing methods (IS6110-RFLP or MIRU-VNTRs), more isolates and a longer time period are critical if we are to fully understand the epidemiology of TB in this region. REFERENCES
Copyright © 2011 - Instituto Oswaldo Cruz - Fiocruz The following images related to this document are available:Photo images[oc11045f1.jpg] [oc11045t2.jpg] [oc11045t3a.jpg] [oc11045t1.jpg] [oc11045t3b.jpg] |
|