Muhammad Alamgir1, Mehwish Sajjad2, Mirza Saifullah Baig3, Muhammad Yahya Noori4. 1. Muhammad Alamgir, M. Sc. Lab Technician, Ojha Institute of Chest Diseases, Dow University of Health Sciences, Karachi, Pakistan. 2. Mehwish Sajjad, MBBS, M. Phil. Lecturer, Department of Pathology, Dow International Medical College, Dow University of Health Sciences, Karachi, Pakistan. 3. Mirza Saifullah Baig, MBBS, FCPS. Assistant Professor of Pulmonology, Ojha Institute of Chest Diseases, Dow University of Health Sciences, Karachi, Pakistan. 4. Muhammad Yahya Noori, MBBS, Ph. D, MBA, M. Sc. Associate Professor of Microbiology, Department of Pathology, Dow International Medical College, Dow University of Health Sciences, Karachi, Pakistan.
Drug Resistant Tuberculosis (DR-TB) is a worldwide health problem. Not only it is difficult to treat but also the cost of treatment of DR-TB is much higher than the ordinary disease. It is unfortunate that Pakistan has the fourth highest prevalence of multi drug resistance and more than 15000 cases of DR-TB emerge every year.1With the traditional Drug-Sensitivity Testing (DST) replaced by rapid molecular diagnostics, new areas of scientific inquiry are emerging in TB diagnostics and management. The GeneXpert MTB/RIF Assay is among the most popular tools, endorsed and recommended by the WHO,2 that detects rifampicin resistance in patient samples by detecting mutations in the rpoB gene. It uses a Real time PCR based closed system and detects changes in rpoB gene that encodes β subunit of RNA polymerase, the site where rifampicin binds and inhibits the polymerase from transcribing and stopping the protein production. It uses five different overlapping probes A, B, C, D and E to detect mutations in codons from 507-511, 511-518, 518-523, 523-529 and 529-533, respectively.3 These probes assist in differentiating among the wild type and mutated forms that are associated with rifampicin resistance. Different types of mutations have different effects on the bacterial physiology and survival, hence knowing the types, frequencies and geographical correlates of these mutations may influence future interventions.As the first step, this study aims to determine the relative frequencies of different regional mutations through assessing the relative frequencies of associated probes for various rpoB gene mutations by GeneXpert MTB/RIF Assay.
METHODS
It was retrospective cross-sectional study based on the diagnostic records of the Tuberculosis Laboratories of Dow University of Health Sciences at Ojha Institute of Chest Diseases. Ethical approval was obtained from the Institutional Review Board of Dow University of Health Sciences. All cases that were received and tested positive for rifampicin resistance on GeneXpert, during the five-year-period from 1st January, 2013 to 31st December, 2017 were included.Data were analysed from 713 cases. Records were deidentified for names and only demographic details about age and gender were noted. All cases with invalid and extra pulmonary samples were excluded.Samples were processed as per manufacturer’s instructions. Briefly, Xpert Sample Reagent (SR) was added to unprocessed sputum sample in a 2:1 ratio into a 15ml centrifuge tube and incubated at room temperature for 15 minutes. During incubation period, the samples were mixed by inverting the tubes gently 2 times every 5 minutes. Then 2.0 ml of liquefied sample was transferred to Xpert Cartridge (Ver 3.0) and loaded into GeneXpert IV machine and observed for results.4Mutational frequencies were calculated for each probe. Data were tabulated in Microsoft Excel. Chi square test was applied using SPSS Version 24. Results were considered significant with p-value less than 0.05.
RESULTS
Among the 713 cases analyzed for the study, 374 (52.45%) were males and 339 (47.55%) were females. The age distribution is summarized in Table-I.
Table-I
Gender-wise age distribution of rifampicin-resistant patients.
0-18 Years
19-45 Years
>45 Years
Not Available*
Total
Males
36
243
79
16
374
Females
69
212
49
9
339
Total
105
455
128
25
713
Patients, for whom age records were missing.
Gender-wise age distribution of rifampicin-resistant patients.Patients, for whom age records were missing.The most common group among the subjects was between 19 and 45 years. in both the genders. Gender-wise data were tabulated (Table-II) in relation to different probes from the 363 male and 332 female patients, who were resistant to rifampicin patients and the region examined by Probe E was found to be the most commonly affected by the mutation, followed by that of Probe B. Chi-square test showed differences to be statistically non-significant.
Table-II
Gender-wise distribution of rifampicin-resistance patients in relation to different regions of rpoB gene detected through Probes A, B, C, D and E.
Probe
Mutations
Male
Female
p-value
A
15
14
B
56
46
C
6
5
0.98
D
42
37
E
244
230
363
332
Gender-wise distribution of rifampicin-resistance patients in relation to different regions of rpoB gene detected through Probes A, B, C, D and E.These data were further stratified for age group and probe type and it was observed that the age group 19-45 years had the highest number of mutations in the Probe E region. Data are summarized in Table-III.
Table-III
Age-wise distribution of rifampicin-resistance patients in relation to different regions of rpoB gene detected through Probes A, B, C, D and E
0-18 Years
19-45 Years
>45 Years
Not Available
Totals
A
1
17
8
3
29
B
14
71
16
1
102
C
4
5
2
0
11
D
9
48
19
3
79
E
75
302
81
16
474
Totals
103
443
126
23
695
*Patients, for whom age records were missing.
Age-wise distribution of rifampicin-resistance patients in relation to different regions of rpoB gene detected through Probes A, B, C, D and E*Patients, for whom age records were missing.A few patients (2.5%) with double and triple mutations were also found. Although the number was small, but interestingly some combinations were completely absent. Data are summarized in Table-IV.
Table-IV
Age -wise distribution of rifampicin-resistant patients having double or triple mutations in relation to different regions of rpoB gene detected through Probes A, B, C, D and E.
0-18
19-45
>45
Not Available
Totals
AB
0
2
0
2
4
AD
1
6
0
0
7
DB
0
2
0
0
2
EAD
1
2
2
0
5
Totals
2
12
2
2
18
Age -wise distribution of rifampicin-resistant patients having double or triple mutations in relation to different regions of rpoB gene detected through Probes A, B, C, D and E.
DISCUSSION
Drug resistant Tuberculosis (DR-Tb) is among serious public health issues worldwide.5 It is considered a major threat to the developing countries. Pakistan has extremely high burden of tuberculosis patients, who are constantly facing the threat of developing drug resistance.5 Many diagnostic techniques are used for detection of TB and drug resistance, which now include rapid diagnostic tools such as GeneXpert. These can save precious time, which would otherwise be wasted through traditional methods to detect drug resistance.6 Due to limited requirements of infrastructure and technical expertise, GeneXpert is emerging as a particularly useful tool in the rural settings, which detects mutations in the 81bp region of 3534 bp rpoB gene with the help of five molecular beacons.7,8 The five probes used for this purpose have been shown to have different frequencies of mutations resulting in rifampicin resistance in studies from Pakistan, India, Bangladesh and other regions of the world, though mutations in probe E were found to be the highest in all studies, which is consistent with our results.9-17Though the results from GeneXpert, do not provide the exact point of mutation in the rpoB gene, a number of sequencing studies show that codon 531, which is covered by Probe E is among the most common spots of mutation. Other specific mutations recognized in different studies were codon 526 (covered by Probe D) and 516 (covered by Probe B). The most conserved region, that has been found among different studies was the Probe C region, which is also consistent with our own findings.9-17 The mutation at codon 531, changes Serine to Leucine, changing the polar R group of Serine with the non-polar R group of Leucine, resulting in development of resistance to rifampicin.18 The highest frequency of this particular mutation may be explained by high mutagenic potential of Serine with downstream positive selection favouring this change, as it is considered as “a mutational hot-spot” and is the among the most frequently replaced amino acids.19 Further bioinformatics-based studies based upon this finding might provide interesting insights into this high frequency of mutation.Some mutation combinations were also found where there were two or more mutations involving regions covered by probes, A, B: A, D: B, D and A, D, E, however, they were considerably less frequent, probably owing to the result of decreased selection pressure, once the organism has already acquired drug resistance through one of the mutations.
Limitations of the study
Though our study had the limitations of not identifying the particular mutation directly through PCR and sequencing, however, the knowledge about probe frequency can be used to screen for the trends of evolving rifampicin resistance in Mycobacterium tuberculosis. In addition our other limitations include side-by-side comparison with culture and drug susceptibility testing, to rule out false negative and positive results for GeneXpert.
CONCLUSION
This study showed that the mutations in the Probe E region are disproportionately common, while the age-group 19-45 was the most commonly affected age-group among the rifampicin-resistant patients.
Author Contribution:
MA: Performed the GenXpert/MTB Rif Assay and recorded the data.MS: Wrote the first draft, compiled and tabulated data.SB: Conceived the idea, provided clinical supervision, Edited the manuscript.MYN: Conceived the idea, designed the project, provided laboratory and overall supervision, prepared the final draft of the manuscript. He is also responsible for the study.
Authors: Karen R Steingart; Ian Schiller; David J Horne; Madhukar Pai; Catharina C Boehme; Nandini Dendukuri Journal: Cochrane Database Syst Rev Date: 2014-01-21
Authors: Laura Herrera; Soledad Jiménez; Azucena Valverde; Maria Angeles García-Aranda; Juan A Sáez-Nieto Journal: Int J Antimicrob Agents Date: 2003-05 Impact factor: 5.283