Skip to content

Advertisement

  • Research article
  • Open Access
  • Open Peer Review

Molecular epidemiology study of Mycobacterium tuberculosis and its susceptibility to anti-tuberculosis drugs in Indonesia

  • 1Email author,
  • 2,
  • 2,
  • 2,
  • 2,
  • 2,
  • 3,
  • 3 and
  • 3
BMC Infectious Diseases201515:366

https://doi.org/10.1186/s12879-015-1101-y

  • Received: 9 November 2014
  • Accepted: 12 August 2015
  • Published:
Open Peer Review reports

Abstract

Background

Genotyping of Mycobacterium tuberculosis helps to understand the molecular epidemiology of tuberculosis and to address evolutionary questions about the disease spread. Certain genotypes also have implications for the spread of infection and treatment. Indonesia is a very diverse country with a population with multiple ethnicities and cultures and a history of many trade and tourism routes. This study describes the first attempt to map the molecular epidemiology of TB in the Indonesian archipelago.

Method

From 2008 to 2011, 404 clinical specimens from sputum-smear (SS+) TB patients, age ≥15 years, were collected from 16 TB referral primary health centers (PHC) in 16 provincial capitals in Indonesia. Susceptibility testing to first line drugs was conducted for 262 samples using the agar proportion method as per WHO guidelines. Spoligotyping was done on all samples.

Results

Ninety-three of the 404 samples (23 %) were from the Beijing family, making it the predominant family in the country. However, the geographic distribution of the family varied by region with 86/294 (29.3 %) in the western region, 6/72 (8.3 %) in the central region, and 2/72 (2.8 %) in the eastern region (p < 0.001). The predominant genotype in the central and eastern regions was from the East-African-Indian (EAI) family, comprising 15.3 % (11/72), and 26.3 % (10/38) of the isolates, respectively. Drug susceptibility to first-line anti-TB drugs was tested in 262 isolates. 162 (61.8 %) isolates were susceptible to all TB drugs, 70 (26.7 %) were mono-resistant 16 (6.1 %) were poly-resistant, and 14 (5.4 %) were multi-drug resistant (MDR). The proportion of Beijing family isolates in the susceptible, mono-resistant, poly-resistant, and MDR groups was 33/162 (20.4 %), 28/70 (40.0 %), 6/16 (37.5 %), and 3/14 (21.4 %), respectively. Overall, resistance of the Beijing family isolates to any of the first line TB drugs was significantly higher than non-Beijing families [37/71 (52.1 %) vs. 63/191 (33.0 %) (p-value = 0.003)].

Conclusion

The distribution of Mycobacterium tuberculosis genotypes in Indonesia showed high genetic diversity and tended to vary by geographic regions. Drug susceptibility testing confirmed that the Beijing family of M.tb in Indonesia exhibited greater resistance to first line anti-TB drugs than did other families.

Keywords

  • Personal Protective Equipment
  • Primary Health Center
  • Sputum Specimen
  • Beijing Strain
  • Beijing Family

Background

Tuberculosis (TB) remains a major global health problem and ranks as the second leading cause of death from an infectious disease worldwide. There were 9 million new TB cases and 1.5 million TB related deaths in 2013. Among these deaths, it was estimated that more than 200,000 were due to MDR-TB, a high proportion of the 480,000 incident cases of MDR-TB [1]. A serious problem has been the emergence of extensively-drug resistance TB (XDR-TB) comprising 9 % of the MDR cases. The treatment of MDR- and XDR-TB is substantially more costly and difficult to treat, with higher rates of treatment failure and mortality, as compared to drug-susceptible tuberculosis [2, 3].

Indonesia is considered a high-burden country for TB, ranked fifth in TB incidence (460,000 new TB patients each year) worldwide [1]. An Indonesian National Basic Health Survey in 2010 reported 289 cases/100,000 population [4]. According to the Indonesian TB prevalence survey in 2004, differences in TB prevalence among different regions was observed. For example, 82 cases/100,000 population were reported in the Java-Bali region, compared with 343 cases/100,000 population in Eastern Indonesia and 217 cases/100,000 population in the Sumatra-Kalimantan region [5]. The differences in the incidences is likely multifactorial and may include such factors such as income level, hygiene, education and availability of health care facilities [2, 4, 6].

In addition to the high prevalence of TB cases, drug-resistant DR-TB is also an important problem in Indonesia. WHO estimated 1.9 % of new TB cases and 12 % of previously treated TB cases in Indonesia have MDR-TB [1]. Several studies reveal that MDR-TB occurs more frequently in patients with a previous history of pulmonary TB treatment, particularly those with inadequate treatments (including monotherapy, insufficient duration of therapy or inconsistency of adherence), and in patients with co-morbidities, including human immunodeficiency virus (HIV) infection or diabetes mellitus (DM) [3, 4]. There are risk factors for the occurrence of mutations in the specific genes of the bacteria that may lead to drug-resistance. The prevalence of MDR-TB in Indonesia also varies geographically. According to the TB resistance survey conducted between 2004 and 2007, the prevalence of MDR-TB in Central Java, Makassar and Papua was 1.9 %, 4.1 % and 2.0 %, respectively [2]. Therefore, it is important to understand both the geographic distribution of bacterial genotypes as well as the susceptibility of individuals within different regions according to the possibility of genetic susceptibility mutations [7].

Although MDR-TB is emerging throughout Indonesia, there is only one study of nearly 900 patients that evaluates drug resistance and M. tb genotypes. This study did not find drug resistance associated with certain genotypes. However, it did find that the Beijing genotype, found more frequently in West Java (Bandung) than in West Timor (Kupang), was associated with treatment failure [8, 9].

Here we describe the initial mapping of 404 M. tb bacterial genotypes using spoligotyping, the sensitivity of M. tb isolates to first line anti-TB drugs, and the association between the genotypes and drug sensitivity, which will complement the previous publication of this study [10].

Methods

A cross-sectional study was conducted in 16 TB referral primary health centers (PHC) that had the ability to perform microscopic sputum examination. The study was conducted in 16 provincial capitals in Indonesia, including five provincial capitals in Sumatra (Bandar Lampung, Palembang, Padang, Medan and Pekan Baru), four in Java (Serang, Jakarta, Bandung and Surabaya) two in Kalimantan (Banjarmasin and Pontianak), two in Sulawesi (Makassar and Menado) and three in Eastern Indonesia (Mataram, Ambon and Sorong) between 2008 and 2010. Ethical clearance was obtained from the Ethics Review Committee of NIHRD of Indonesia. Laboratory procedures were performed according to the algorithm in Fig. 1.
Fig. 1
Fig. 1

The scheme of the laboratory procedures conducted to sample sputa from 16 TB refferal health center in 16 provincial capitals in Indonesia

Subjects and samples

Individual sputum samples were collected from 437 subjects who met the inclusion criteria: i) age ≥ 15 years, ii) newly diagnosed TB or in treatment less than two months, iii) sputum smear positive, and iv) willingness to sign informed consent. Subjects whose sputa were not available were not included in the study. Sputum samples collected by PHC technicians from suspected TB patients included a spot sputum on day 1 and an early morning sputum and a spot sputum on day 2. All patients were trained by the PHC technicians how to produce sputum as per national TB guidelines to ensure that all sputum from different PHC were comparable. All sputum were sent to and processed by the National Institute of Health Research and Development (NIHRD) in Jakarta. NIHRD’s laboratory technicians then chose one of the three sputa based on the quality of the sputum (macroscopically thick, pus-like, sometimes bloody, and microscopically having more leukocytes than epithelial cells). Sputum samples from 13 subjects were rejected due to contamination during specimen processing.

Laboratory Procedures:
  1. A.

    Sputum decontamination

    Sputum specimens were decontaminated using MycoPrep™, a solution containing sodium hydroxide and N-acetyl-L-cysteine, in Falcon tubes, following sputum decontamination guidelines [11], in Biosafety cabinet class II type A2 using Personal Protective Equipment (PPE) for Biosafety Laboratory Level-3 (BSL-3). This suspension was divided into two aliquots and stored in an incubator at 37 °C. for further process . One aliquot was prepared for DNA extraction (for genotyping and spoligotyping) and the second aliquot was prepared for culture (for genotyping and susceptibility testing). Spoligotyping and genotyping test were performed first on sputum to shorten the time to obtain results.

     
  1. B.

    DNA Extraction, Liquid Culture Media BACTEC MGIT-960 and Solid Culture Media Lowenstein Jensen (LJ)

    The first aliquot above was used for genotyping. M. tb DNA was isolated according to the method of DNA extraction, as described in the kit manual (®Qiagen) using the manufacturers protocol. The extracted DNA was eluted from QIAspin columns in a final volume of 200 μL AE buffer and stored at −70°C until used for genotyping. When the genotype pattern could not be obtained from DNA isolated from the first aliquot, due to the limitation of direct sputum processing, genotyping was then attempted from the second aliquot.

    The second aliquot was divided into two. The first part was added to the Falcon tubes that contained BACTEC™ MGIT™ Oleic acid, Albumin, Dextrose, Catalase (OADC) growth supplement and MGIT PANTA antimicrobic mixture (®BD. Location exact details of kit). M. tb liquid MGIT Bactec culture was performed as per the kit manual prepared by the manufacturer. The second part was added to the Lowenstein-Jensen (L-J)media for solid culture as per WHO guidelines [12]. All preparation was done in biosafety cabinet Class II Type A2 using PPE for BSL-3. When the Bactec MGIT-960 media culture showed M. tb growth at 2 – 4 weeks, some isolates were used for genotyping. When the L-J media culture showed M. tb growth at 2 – 8 weeks, the isolates were used for first line anti-TB susceptibility test and some isolates were also used for genotyping.

     
  1. C.

    Spoligotyping

    Testing was performed on DNA isolates from the first aliquot and from some cultures according to the manufacturing procedure for spoligotyping for M.tb’s DNA [13], using primer DRA: 5'-GCT TTT GGG TCT GAC GAC-3 'labeled with biotin at the 5' end and primer DRB: 5'-CCG AGA GGG GAC GGA AAC-3 ', milliQ as negative control and M. tb H37Rv and M.bovis BCG as positive control, to avoid false negative or false positive results. To minimize false negative and false positive results, we separated the PCR mix chamber with sample preparation room and implemented appropriate techniques during mini-blotter use to avoid air-bubles. Amplification of DNA was conducted using a thermocycler (AB System). PCR products were then hybridized using the mini-blotter MN45 equipment as per instructions from the manufacturer. Hybridization results were compared with the data base patterns on Spoligotipe Data Base (SPOLDB4/SITVIT) and the dendrogram was constructed using software BioNumerics v6.0.

     
  1. D.

    First line anti-TB Drug Susceptibility Test

    Susceptibility testing was conducted in accordance with the agar proportion method by WHO [12]. First line drugs used in this test were Streptomycin, Isoniazid, Rifampicin and Ethambutol (SIRE) with susceptibility cutoff concentrations [4; 0.2; 40; 2 (μg/ml)]. Results were interpreted by observing the presence or absence of M. tb bacteria on 28 day cultured samples compared to negative control. M. tb strains were considered resistant when isolates showed at least 1 % resistance by counting the bacteria growth as per the WHO formula and were considered sensitive when <1 % isolates showed resistance. When day 28 results were resistant, the reading was not repeated and strains were considered resistant. However, when day 28 reading resulted in sensitive results, samples were re-read on day 42. Readings on day 42 were considered definitive readings.

     

Results

A total of 437 subjects were consented, with the majority from the western region (302/69.1 %), followed by the eastern (76/17.4 %) and central regions (59/13.5 %). The western, central and eastern regions consisted of 11, 2 and 3 PHCs, respectively. Each PHC contributed 20 to 30 subjects. The subjects were 15–74 years of age, with a median of 32 years. The ratio between males and females was 1.8:1. This ratio was found in 12 PHC, except in Makassar where it was equal, and in Serang, Banjarmasin and Sorong where females were slightly more than males. Details of the regions and cities where the PHCs are located are listed in Table 1.
Table 1

The list of the cities, number of screened subjects and results of spoligotyping and resistance testing

Cities

Screened

Spoligotyping

L-J cultured

Resistance

Susceptible (%)

(%)

Str

INH

Rif

Eth

MDR

Poly-drug

INH+ RIF

Resistance

Western Region

302

284 (186/98)

201

17

20

3

12

12

13

124 (62)

Padang

29

25 (17/8)

18

2

2

0

0

0

2

12 (66.7)

Pekan Baru

30

29 (23/6)

14

2

1

0

1

1

2

7 (50)

Palembang

30

30 (21/9)

16

0

2

0

1

0

2

11 (68.8)

Lampung

28

26 (18/8)

20

2

2

1

2

5

0

8 (40)

Medan

20

19 (14/5)

16

2

2

2

1

0

0

9 (56.3)

Serang

29

29 (14/15)

24

2

2

0

1

0

1

18 (75)

DKI Jakarta

28

28 (19/9)

16

2

0

0

0

3

1

10 (62.5)

Bandung

26

24 (16/8)

22

1

4

0

3

1

4

9 (40.9)

Surabaya

30

30 (17/13)

16

2

1

0

0

0

0

13 (81.3)

Banjarmasin

25

17 (8/9)

22

2

2

0

2

0

0

16 (72.7)

Pontianak

27

27 (19/8)

17

0

2

0

1

2

1

11 (64.7)

Central Region

59

59 (36/23)

28

2

6

0

0

2

2

16 (57.1)

Makassar

30

30 (15/15)

18

2

3

0

0

1

2

10 (55.6)

Manado

29

29 (21/8)

10

0

3

0

0

1

0

6 (60)

Eastern Region

76

61 (36/25)

33

7

1

1

1

0

1

22 (66.7)

Mataram

28

13 (12/1)

9

1

1

0

0

0

0

7 (77.8)

Ambon

28

28 (15/13)

15

2

0

1

1

0

1

10 (66.7)

Sorong

20

20 (9/11)

9

4

0

0

0

0

0

5 (55.6)

Total

437

404 (258/146)

262

26

27

4

13

14

16

162 (61.8)

Thirteen of the 437 sputa from these patients were contaminated during specimen processing, and were excluded from further analysis. Spoligotyping and culture growth (in liquid MGIT Bactec 960 media and solid L-J media) were performed on 424 sputa. During spoligotyping 381 sputa were hybridized and 43 did not hybridize. Culture on liquid and solid media resulted in growth of 305 and 262 M. tb samples, respectively. Spoligotyping repeated using the isolates from these culture, resulting in 23 additional hybridizations of 43 subjects who had not hybridized to spoligotyping performed from the direct sputa specimens. In total, the genotypes of M. tb from 404 subject could be characterized, both from sputa and culture in liquid and solid media (Fig. 1).

Based on spoligotyping results, molecular epidemiology data demonstrated genotype diversity of M. tb in Indonesia [Table 2], where 404 patterns of M. tb strains match with 149 patterns on the spoligotype database (SPOLDB4/SITVIT). Overall our study found that the largest number of M. tb isolates in Indonesia belonged to the Beijing family (93/404, 23.0 %), followed by East African Indian/EAI-type (Family F) (83/404, 20.5 %) and Latin American-Mediterranean/LAM-type (Family D) (50/404, 12.4 %). Fifty-seven patterns of M. tb were not in the SPOLDB4 database and were designated as orphan type (14.1 %). The Beijing family was the most predominant (86/29.3 %) genotype in the western region, followed by the EA family (62/21.1 %) genotype, LAM family (10.9 %) genotype and orphan (10.5 %) group. In contrast, Beijing family was only found in 6 M. tb (8.3 %) isolates in the central region and in 1 M. tb (2.6 %) isolate in eastern region. The difference in prevalence of the Beijing family in the western region compared to the other regions was significant (p < 0.01). The EA (11/15.3 %) and LAM genotypes (10/13.9 %) was predominant in the central region. The EA was also the most predominant in the eastern region (10/26.3 %), followed by LAM and T genotypes (each 8/21.1 %) (Table 2).
Table 2

Details of M. tb spoligotyping results divided into each region in Indonesia

GenotypeMtb

Western region freq (%)

Central region freq (%)

Eastern region freq (%)

Total

Beijing strain (fam. I)

86 (29.3)

6 (8.3)

1(2.6)

93

H genotype (fam. A)

23 (7.8)

9 (12.5)

2 (5.3)

34

LAM genotype (fam. D)

32 (10.9)

10 (13.9)

8 (21.1)

50

EA genotype (fam. F)

62 (21.1)

11 (15.3)

10 (26.3)

83

T genotype (fam. C)

20 (6.8)

4 (5.6)

8 (21.1)

32

U genotype (fam. G and H)

21 (6.8)

9 (12.5)

2 (5.3)

32

MANU1 genotype (fam. others)

6 (2)

-

-

6

MANU2 genotype (fam. others)

3 (1)

2 (2.8)

-

5

X1 genotype(fam. B)

6 (2)

-

-

6

CAS genotype (fam. others)

3 (1)

-

-

3

PINI genotype (fam. others)

-

-

1 (2.6)

1

Africanum genotype (fam. others)

-

1 (1.4)

-

1

Orphan

31 (10.5)

20 (27.8)

6 (15.8)

57

H37Rv

1 (0.3)

-

-

1

TOTAL

294

72

38

404

Drug susceptibility results from 262 culture positive samples were matched with their respective spoligotyping results. Details of drug susceptibility results to first line drugs, MDR and poly-resistant, non MDR in each town, region and across all sites are detailed in Table 1. The proportion of M. tb isolates that were susceptible to all first line TB drugs in Indonesia was 61.8 % and this was not different between the regions (western: 62 %, central: 57.1 %, eastern: 66.7 %). There were some cities where the prevalence of drug sensitive TB was higher such as Surabaya (81.3 %), Mataram (77.8 %) and Banjarmasin (72.7 %). In contrast, in Lampung, Bandung, and Pakan Baru, the prevalence of drug sensitive TB was ≤ 50 %.

The proportion of MDR across all sites was 5.3 %. The majority of this was concentrated in the western and central regions (6 % and 5.3 %). Interestingly, no MDR strains were found in 33 M. tb isolates from the eastern part of Indonesia. In western Indonesia, MDR M. tb isolates were identified, in order of frequency, from Lampung (5), Jakarta (3), Pontianak (2), Pekan Baru (1), Bandung (1), and in central Indonesia from Makassar (1) and Manado (1). Of note, although almost 60 % (13/22) of M. tb isolates from Bandung had some resistance to first line TB drugs, only one was MDR. Resistance to single drugs was most frequent (36.3 %), followed by poly-drug, non-MDR (18.2 %) and MDR (4.5 %).

Analysis of M. tb susceptibility in the Beijing family and non-Beijing family groups is described in Table 3. The Beijing family demonstrated the highest mono-resistance [28/70(40.0 %)], followed by poly-resistant, drug sensitive TB, and MDR groups [6/16(37.5 %)], [33/162(20.4 %)] and [3/14(21.4 %)], respectively.
Table 3

The susceptibility and resistance of Beijing and Non-Beijing strain groups to first line anti-TB drugs

Susceptibility/Resistance

M.tuberculosis genotype

Total

Beijing

Non-Beijing

Susceptible

33

129

162

Monoresistance

28

42

70

Streptomycin

6

20

26

INH

11

16

27

Rifampicin

3

1

4

Ethambutol

8

5

13

Multi Drug Resistance (MDR)

3

11

14

Poly-resistance

6

10

16

SI

2

5

7

SR

0

0

0

SE

0

1

1

IE

4

2

6

RE

0

0

0

SIE

0

1

1

SER

0

1

1

Total

70

192

262

The resistance amongst the Beijing family to any first line TB drug was significantly higher than in the non-Beijing families (52.9 %% vs 32.8 %, p < 0.01). This higher resistance was largely due to the mono-resistant group (40 % vs 21.9 %, p < 0.01), and with some contribution from the poly-resistant group (8.6 % vs 5.2 %, p = 0.31). This was not seen when comparison was made between MDR strains in each group (4.3 % vs 5.7 %, p = 0.64). Further analysis of the resistance to each first line drug, individually or in combination with other drugs, revealed that the prevalence of resistance to INH was higher in the Beijing family (28.6 %) compared to (18.2 %) in non-Beijing family but this was not statistically significant. Similarly, the prevalence of resistance to rifampicin in Beijing family (8.6 %) was not significantly higher than non-Beijing family (6.8 %). Resistance to ethambutol was significantly higher in the Beijing family compared to non-Beijing groups (17.1 % vs 5.2 % p < 0.01). In contrast, resistance to streptomycin in the Beijing group was not significantly lower than in the non-Beijing family (11.4 % vs 14.6 %).

Discussion

This study adds to the data available in Indonesia with respect to M. tb starins and drug resistance in the various regions of the country. The majority of subjects in this study are between 15–54 years, reflecting the age group with high mobility as a routine activity in this age group as known. The proportion of males in our study was higher than female which could suggest that TB prevalence was higher in men than in women. This is consistent with the results of National Indonesian Basic Health Research in 2010, [4] which showed that the prevalence of TB in Indonesia is higher in men. An epidemiological study in India in 1986–2002 also found gender bias in TB patients [14]. Research to determine the role of paternal relationship or Y chromosome on the suseptibility of Mtb, along with research on genetic influences sensitivity exposed by the host with a particular type Mtb is underway [15, 16]. Recent study showed that the specific gene like CYP7A1 gene, which codes for cholesterol 7a-hydroxylase, an enzyme involved in cholesterol catabolism, may play a role in susceptibility to TB in human population [7]. However, given the strong patrilineal cultural factors in Indonesian society, where men are considered more important in all aspects, including in access to medical treatment should be considered.

This study used spoligotyping to obtain genotyping data. This method has proven to be an effective and efficient method for the study of genotypes in the population because it can be used to construct a dendrogram structure that describes the circulation of the group (clade) of M. tb, while also being able to recognize the existing lines [16, 17]. When compared with other fingerprinting methods such as restriction fragment length polymorphism (RFLP) with a probe of the sequence IS6110, spoligotyping has an advantage because this method has a probe on the membrane which in addition to distinguishing genotype can simultaneously recognize strains of M. tb complex, which can not be done by probes on conventional RFLP method in a single reaction process [8, 9]. Due to limits in the number of primer used in standard spoligotyping, spoligotyping generally equipped with Mycobacterial interspersed repetitive unit-variable number of tandem repeat (MIRU-VNTR) typing method that has the ability to provide more information as it uses more loci [18, 19].

Some samples showed no hybridization on membrane spoligotyping. Some references indicate that the spoligotyping often fails to produce hybridization patterns from DNA samples derived directly from sputum specimens, though with appropriate modifications of extraction techniques this can be improved [9]. Hybridization failure may be associated with small numbers of bacteria present in the sample or the possibility that the bacteria are dead so that there can be no replication. This is evident from the results of the evaluation, in which some samples which did not show a pattern of hybridization also failed to show growth of colonies on culture media.

This study produced several important findings. The Beijing family genotype was the predominant M. tb family in West Indonesian region (Java, Sumatra, Kalimantan), but was the minority in Eastern Indonesia. Based on data of M. tb distribution that the W-Beijing strain family is associated with the migration of ethnic Chinese [2022], we speculate that this may be the reason for the dominance of this family in the main trading cities in Sumatra, Java and Kalimantan. As is well known, ethnic Chinese first came to Indonesia by sea for trade and the sampling sites in the western and central regions were port cities in ancient times. Similar results have been reported in Parwati, et al. [8].

In contrast, in the region with inaccessible migration paths, such as the eastern region, the W-Beijing strain family may not have arrived and other isolates predominate, such as the East African-Indian (EAI) and Haarlem (H)-like in Madagascar [23], the type of Latin American-Mediterranean (LAM) also observed in Turkey [24] or the typical type of Central Asian Strain (CAS)-like in Pakistan [25]. Considering the migration theory, this may also illustrate that the movement of M. tb strains in east region in Indonesia also follows the movement of the human population of Polynesian and African regions as mentioned earlier.

Our study also found that the proportion of resistance to anti-TB drugs within Beijing strains family was significantly higher than non-Beijing strains family. This is consistent with previous research suggesting that a number of Beijing family have putative mutator genes and cause changes in DNA repair that will drive the direction of resistance mutations [26, 27]. Research on Beijing strains from Germany and Russia showed mutations in a high proportion of the genes rpoB S531L and embB306. A study in Hong Kong reports the association between Beijing strains with phenotypic resistance to INH]. [28, 22] These mutations indicate any possibility of mutations that can arise in bacteria gene, especially M. tb gene. Our study also found no MDR case in the Eastern region. However, as a study in Northern Malawi showed, for all isolates of the Beijing still susceptible to anti TB drugs [29], further study needs to be conducted.

We also found several important M. tb types such as the H type. Recent molecular studies found this type should be closely monitored because the 3R gene (DNA repair, recombination, and replication) reveal a high tendency to mutate, similar to the Beijing strains, even though the mechanism is not clear [9]. The prevalence of MDR-TB was relatively high and the orphan group was the most common isolate found in the central region. However, the limitation of spoligotyping as a genotyping method has also to be considered when finding too many orphan M. tb types.

Genotype studies on population using spoligotyping such as in this study is beneficial to provide the dendogram structure that could clarify M. tb clade circulation, together with identifying prevalent strains [30]. Dendrogram data would be useful for comparing patterns between countries. This comparison will determine which countries share similar dendogram patterns. These countries may then share their experience in TB surveillance programs.

This study has several limitations. First, the difficulty to maintain the cold chain sample may influence the results of bacterial culture. In addition, genotyping analysis was only conducted by spoligotyping without combining it with another method, such as MIRU – VNTR typing, which would provide more definitive differentiation of strains of each family of M. tb because MIRU typing has more loci to complete the genotyping results. A third limitation of the present study is the relatively small sample size used for susceptibility testing that may not represent the true pattern of resistance for the population.

Conclusion

In summary, spoligotyping on 404 sputum specimens from TB patients highlights the diversity of M. tb genotypes in Indonesia. The majority of M. tb strains from Java, Sumatra and Kalimantan was family I (type W-Beijing family strains) whereas eastern Indonesia was dominated by family F (type EAI) and family D (type LAM) isolates. Resistance to anti-TB drugs was more common in W-Beijing family strains, which, in turn, were more commonly found in Java. Hence, this finding is an important consideration in the management of TB in regions with high rates of resistance and suggests that there is a need for the government to enhance the TB surveillance program in Indonesia.

Declarations

Acknowledgements

This research was funded by NIHRD, MoH, RI. We thank Dr. Triono Soendoro and Dr.dr. Trihono as DG of NIHRD, MoH RI at 2008–2013. And all of the staff of primary health care at 16 provinces in Indonesia. We also thank Sophia Siddiqui, Michael A. Polis, Nancy Touchette and Martha Nason from National Institute of Allergy and Infectious Diseases (NIH) and Herman Kosasih and Retna Mustika Indah from INA-RESPOND for their writing help and statistical advice. We also would like to thank many investigators whose published or unpublished datas were included in SpolDB4. We would like to thank the INA-RESPOND NETWORK for the support in enabling the completion of this manuscript. We are extremely grateful to the patients who participated in the study.

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Institute for Vector and Reservoir Disease Control Research and Development (IVRDCRD), Salatiga, Indonesia
(2)
Center for Biomedical and Basic Technology of Health (CBBTH), NIHRD, MoH-RI, Jakarta, Indonesia
(3)
Department of Clinical Pathology, Dr. Hasan Sadikin Hospital, Bandung, Indonesia

References

  1. WHO. Global Tuberculosis Report 2014. Geneva: World Health Organization; 2014.Google Scholar
  2. AHMoTRoIN. Guidelines for Integrated Management Control Drug-Resistant Tuberculosis 2013. Available from: http://www.djpp.kemenkumham.go.id.
  3. Sebhatu M, Kiflom B, Seyoum M, Kassim N, Negash T, Tesfazion A, et al. Determining the burden of tuberculosis in Eritrea: a new approach. Bull World Health Organ. 2007;85(8):593–9.View ArticlePubMedPubMed CentralGoogle Scholar
  4. Development NIoHRa. National Report: Basic Health Research. Jakarta: Development NIoHRa; 2011.Google Scholar
  5. Development NIoHRa. National Report: TB Prevalence Survey on 2004. Jakarta: DevelopmentNIoHRa; 2005.Google Scholar
  6. den Boon S, Verver S, Lombard CJ, Bateman ED, Irusen EM, Enarson DA, et al. Comparison of symptoms and treatment outcomes between actively and passively detected tuberculosis cases: the additional value of active case finding. Epidemiol Infect. 2008;136(10):1342–9.Google Scholar
  7. Mounia Qrafli, Youssef Amar, Jamaleddine Bourkadi, Jouda Ben Amor, Ghali Iraki, Youssef Bakri, Saaîd Amzazi, Ouafae Lahlou, Fouad Seghrouchni, Rajae El Aouad, Khalid Sadki. The CYP7A1 gene rs3808607 variant is associated with susceptibility of tuberculosis in Moroccan population. Pan Afr Med J. 2014;18:1. doi:10.11604/pamj.2014.18.1.3397.View ArticlePubMedPubMed CentralGoogle Scholar
  8. Parwati I. Factors Underlying the Success of the Mycobacterium tuberculosis Beijing Genotype in Indonesia [PhD Thesis]. Bandung, Indonesia: Pustaka Billah; 2009.Google Scholar
  9. Parwati I, van Crevel R, van Soolingen D. Possible underlying mechanisms for successful emergence of the Mycobacterium tuberculosis Beijing genotype strains. Lancet Infect Dis. 2010;10(2):103–11.View ArticlePubMedGoogle Scholar
  10. Lisdawati V. Initial mapping studies of mycobacterium tuberculosis complex DNA in spoligotyping in results isolation sputum pulmonary tuberculosis patients of the 10 Provincial Capital (Part I). Bull Health Res. 2010;38(4):169–85.Google Scholar
  11. Forbes B, Sahm D, Weissfeld A. Bailey & Scott’s: Diagnostic Microbiology. 12th ed. Philadelphia: MOSBY Elsevier; 2007.Google Scholar
  12. WHO. Guideline. Drug susceptibility testing, proportion method. Geneva: WHO; 2008.Google Scholar
  13. Biosolution I. Spoligotyping manual: a PCR-based method to simultaneously detect and type Mycobacterium tuberculosis complex bacteria. USA: Gentaur Molecular Products; 2010.Google Scholar
  14. Chakraborty AK. Epidemiology of tuberculosis: current status in India. Indian J Med Res. 2004;120(4):248–76.PubMedGoogle Scholar
  15. Gagneux S, DeRiemer K, Van T, Kato-Maeda M, de Jong BC, Narayanan S, et al. Variable host-pathogen compatibility in Mycobacterium tuberculosis. Proc Natl Acad Sci U S A. 2006;103(8):2869–73.View ArticlePubMedPubMed CentralGoogle Scholar
  16. Al-Hajoj SAM, Zozio T, Al-Rabiah F, Mohammad V, Al-Nasser M, Sola C, et al. First insight into the population structure of Mycobacterium tuberculosis in Saudi Arabia. J Clin Microbiology. 2007;45:2467–73.View ArticleGoogle Scholar
  17. Flores L, Van T, Narayanan S, DeRiemer K, Kato-Maeda M, Gagneux S. Large Sequence Polymorphisms Classify Mycobacterium tuberculosis Strains with Ancestral Spoligotyping Patterns. J Clin Microbiology. 2007;45(10):3393–5.View ArticleGoogle Scholar
  18. Han H, Wang F, Xiao Y, Ren Y, Chao Y, Guo A, et al. Utility of mycobacterial interspersed repetitive unit typing for differentiating Mycobacterium tuberculosis isolates in Wuhan, China. J Med Microbiol. 2007;56:1219–23.View ArticlePubMedGoogle Scholar
  19. Guo J, Xiang W, Zhang G, Luo T, Xie N, Yang ZR, et al. Mycobacterial interspersed repetitive unit typing in Mycobacterium tuberculosis isolates from Sichuan Province in China. Indian J Med Res. 2011;134:362–8.PubMedPubMed CentralGoogle Scholar
  20. Hanekom M, van der Spuy GD, Gey van Pittius NC, McEvoy CR, Ndabambi SL, Victor TC, et al. Evidence that the spread of mycobacterium tuberculosis strains with the Beijing genotype is human population dependent. J Clin Microbiol. 2007;45(7):2263–6.View ArticlePubMedPubMed CentralGoogle Scholar
  21. Mokrousov I, Ly HM, Otten T, Lan NN, Vyshnevskyi B, Hoffner S, et al. Origin and primary dispersal of the Mycobacterium tuberculosis Beijing genotype: clues from human phylogeography. Genome Res. 2005;15(10):1357–64.View ArticlePubMedPubMed CentralGoogle Scholar
  22. Chan MY, Borgdorff M, Yip CW, De Haas PEW, Wong WS, Kam KM, et al. Seventy percent of the Mycobacterium tuberculosis isolates in Hong Kong represent the Beijing genotype. Short paper Epidemiol Infect. 2001;127:169–17. Cambridge University Press.Google Scholar
  23. Ferdinand S, Sola C, Chanteau S, Ramarokoto H, Rasolonavalona T, Rasolofo-Razanamparany V, et al. A study of spoligotyping-defined Mycobacterium tuberculosis clades in relation to the origin of peopling and the demographic history in Madagascar. Infect Genet Evol: Journal of molecular epidemiology and evolutionary genetics in infectious diseases. 2005;5(4):340–8.View ArticlePubMedGoogle Scholar
  24. Otlu B, Durmaz R, Gunal S, Sola C, Zozio T, Rastogi N. Beijing/W and major spoligotype families of Mycobacterium tuberculosis strains isolated from tuberculosis patients in Eastern Turkey. New Microbiol. 2009;32(3):255–63.PubMedGoogle Scholar
  25. 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(5):1763–8.View ArticlePubMedPubMed CentralGoogle Scholar
  26. Bakonyte D, Baranauskaite A, Cicenaite J, Sosnovskaja A, Stakenas P. Molecular characterization of isoniazid-resistant Mycobacterium tuberculosis clinical isolates in Lithuania. Antimicrob Agents Chemother. 2003;47(6):2009–11.View ArticlePubMedPubMed CentralGoogle Scholar
  27. Mistry NF, Iyer AM, D'Souza DT, Taylor GM, Young DB, Antia NH. Spoligotyping of Mycobacterium tuberculosis isolates from multiple-drug-resistant tuberculosis patients from Bombay, India. J Clin Microbiol. 2002;40(7):2677–80.View ArticlePubMedPubMed CentralGoogle Scholar
  28. Kurepina N, Likhoshvay E, Shashkina E, Mathema B, Kremer K, van Soolingen D, et al. Targeted Hybridization of IS6110 Fingerprints Identifies the W-Beijing Mycobacterium tuberculosis Strains among Clinical Isolates. J Clin Microbiol. 2005;43(5):2148–54.View ArticlePubMedPubMed CentralGoogle Scholar
  29. 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(1):150–3.View ArticlePubMedPubMed CentralGoogle Scholar
  30. Filliol I, Driscoll JR, Van Soolingen D, Kreiswirth BN, Kremer K, Valetudie G, et al. Global distribution of Mycobacterium tuberculosis spoligotypes. Emerg Infect Dis. 2002;8(11):1347–9.View ArticlePubMedPubMed CentralGoogle Scholar

Copyright

© Lisdawati et al. 2015

Advertisement