- Original article
- Open Access
Molecular identification of non-tuberculous mycobacterial species isolated from extrapulmonary samples using real-time PCR and rpoB sequence analysis
AMB Express volume 13, Article number: 43 (2023)
Tuberculosis (TB) is one of the leading causes of mortality among infectious diseases and accounts for a serious health hazard wordwide. Apart from TB, the members of non-tuberculous mycobacteria (NTM), which includes around 170 species, may also cause different diseases in humans. Therefore this study aimed to investigate the distribution of NTM strains isolated from extrapulmonary (EP) samples by Real-Time PCR and PCR-sequencing methods in Southwest Iran. Three hundred and twenty-five suspected EP samples were collected from patients referred to the referral hospitals in Ahvaz, Iran. The isolates were initially screened by acid fast staining and identified by phenotypic culture and biochemical tests. The Real-Time PCR and rpoB- based PCR methods were performed followed by sequence analysis of rpoB gene. From 124 samples, 77 (62%) were positive for NTM by culture and rpoB sequence analysis. M. fortuitum was the most commonly isolated NTM in present study. In Real-Time PCR, only 69 (55.64%) isolates showed more homology with standard NTM isolates. In general, the growing trend of EPNTM infections in Iran needs specific programs and resources to get a better diagnosis. PCR sequencing is a reliable method, it can be used for definitive identification of positive cultures for identification of NTM species.
Tuberculosis (TB) is one of the leading causes of mortality among infectious diseases and accounts for a serious health hazard wordwide (WHO, 2022). Mycobacterium tuberculosis (MTB) the causative agent of TB, is mainly infecting the lungs which leads to pulmonary TB (PTB), however, in certain circumstances the bacterium may infect other organs and cause extrapulmonary TB (EPTB) with less frequency in comparison to PTB (Lee et al. 2015). EPTB affects organs like the genital tract, lymph nodes, skin, and joints (Fang et al. 2022). Apart from MTB, the members of non-tuberculous mycobacteria (NTM), which includes around 170 species of mycobacteria, may also cause different diseases in humans. Certain NTM species including M. avium complex (MAC), M. kansasii, and M. abscessus are among the most common opportunistic pathogens with the capacity to cause serious infections especially in immunocompromised hosts (Gopalaswamy et al. 2020). A major challenge in laboratories for mycobacterial clinical samples, is the differential diagnosis of TB and NTM infections, which is misleading in many cases, as both MTB and NTM species demonstrate positive results using conventional smear acid-fast staining. Thus, there is an underestimated incidence of NTM in many TB-endemic countries like Iran (Schlossberg et al. 2020). Extrapulmonary non-tuberculous mycobacterial diseases (EPNTM), constitutes about 20% of all cases of TB in Iran, as the NTM species are most commonly related to lung disease (Nasiri et al. 2018a, b). Therefore, it is important to have an early differential diagnosis between TB and NTM lung infections, since despite the identical clinical presentations, there are differences in terms of epidemiology, treatment, and prognosis (Feng et al. 2020). Meanwhile, the capability of NTM to cause infections is extensively discussed in other studies and there is a growing trend of attention to it, as these are important causes of pulmonary and extrapulmonary disease in immunosuppressed hosts such as individuals with HIV infection and renal transplant patients (Henkle et al. 2015; Lapinel et al. 2019; Song et al. 2018).
Generally, molecular methods are specific and fast methods and have a higher rate of reliable detection of MTB from EPNTM and PTB samples compared to time-consuming phenotypic methods (Nurwidya et al. 2018). These methods are also shown promising results in the detection of MTB from clinical samples with negative culture results (Razavi et al. 2018). In addition, there is a growing volume of isolation of different NTM species by the application of molecular methods in medical laboratories (Adékambi et al. 2003). Following the molecular techniques, gene sequencing such as rpoB and 16 S rRNA have drawn a great deal of attention for mycobacterial identification (Ghielmetti et al. 2020). Given the reliable discriminatory power, the tool is widely used by many epidemiological studies to detect the species responsible for human diseases and outbreaks as well as for taxonomic re-classification. Along with a fast and reliable differential diagnosis between MTB and NTM, the molecular techniques provide rapid accurate diagnosis, which can help with the early and appropriate therapeutic management of the patients (Adékambi et al. 2003). Hence, the aim of this study was to investigate the distribution of NTM species isolated from EP samples by Real-Time PCR and PCR-sequencing methods in Southwest Iran.
Materials and methods
In total 198 EP samples suspected to NTM infection including lymph node biopsy, urine, skin legion aspiration, pleural fluid, and bone biopsy, were collected from patients admitted to referral hospitals in Ahvaz city, Southwest Iran, from the beginning to the end of year 2022. The initial proposal of the work was approved in the University high research and ethics combined committee and necessary permission for sample collection was granted.
All samples were subjected to phenotypic identification. For all samples smear was prepared and Ziehl–Neelsen staining (ZNS) was performed for the presence of acid fast bacilli (AFB). For cultivation, the decontamination of all samples was done as described by Kent (1985). In brief, this was done by using 4% N-Acetyl-L cysteine-sodium hydroxide with subsequent centrifugation at 3000 g for 15 min and re-suspensin of decontaminated sample in phosphate buffer. About half a milliliters aliquot of decontaminated samples was inoculated onto Lowenstein Jenson (LJ) media (Biomerieux, F-69,280 Marcy l’Etoile, France), incubated at 37 °C for 8 weeks, and examined weekly for growth. Mycobacterial isolates were identified by conventional phenotypic and biochemical tests including colony morphology, growth at 25, 37, and 42 °C, pigment production, semi-quantitative catalase test, Tween 80 hydrolysis, arylsulfatase test, heat-stable catalase (pH 7, 68 °C), urease, and nitrate reduction test (Kent 1985). Out of the total 198 suspected samples, 74 (37.3%) were identified as Mycobacterium tuberculosis and excluded from the study. The rest 124 (62.6%) suspected samples to NTM infection, were included in the study for definitive identification.
The mycobacterial isolates grown on LJ medium were used for extraction of genomic DNA using DNA extraction QIAamp Mini Kit (Qiagen, Hilden, Germany), according to the manufacturer’s instructions. The obtained DNA was diluted 10 fold using distilled water and the concentration was determined using a Nanodrop instrument (Thermo Fisher Scientific, Waltham, MA, USA), which was then used as a template DNA for molecular assays.
Identification of NTM species by PCR sequencing
For NTM molecular identification, a 750-bp fragment of the rpoB gene was amplified using MycoF and MycoR primers (Adékambi et al. 2003). The PCR mixture was prepared in a final volume of 25 µl comprising 10X PCR buffer, 1.5 mmol of MgCl2, 0.2 mmol of each dNTP, 1 U/µl of Taq DNA Polymerase, 1 µmol of each primer, 5 µl genomic DNA (50 ng), and 18 µl sterile deionized water. The PCR products were visualized by electrophoresis on 1% agarose and the results were recorded using a gel documentation system (Protein Simple, San Jose, California, USA), after staining with DNA safe stain (Yektatajhiz, Iran). A 100 bp molecular marker was used to determine the size of produced fragments.
The amplified PCR products for each isolate were purified with the Gene JETTM Gel Extraction Kit (Fermentas, Lithuania), according to manufacturer’s guidelines. An ABI PRISM 7500 Sequence Detection System (Applied Biosystems, Foster City, CA, United States) was used to determine the sequences of the products. The sequences of the rpoB gene for each isolate were examined using BLAST separately, and multiple sequence alignment (MSA) was carried out on sequences and the available pertinent sequences of NTM recovered from the GenBank database, using the MEGA7 program (Saitou and Nei 1987).
The real-time PCR method for the detection of NTM
All samples were investigated by Seegene NTM PCR test (Seegene, Soul, South Korea). Overall, 5 µl of an aliquot of the supernatant was mixed with 15 µl of master mix, which contains 10 µl×2 Anyplex PCR master mix, 2 µl 10×MTB/NTM oligonucleotide mix, and 3 µl 8- methoxypsoralen. CFX96 Touch RT-PCR Detection System (Bio-Rad Laboratories Inc., USA) was used for amplification and identification of NTM, which detects the 16 S rRNA gene. For quality control, the kit contains in-house extraction controls, positive and negative amplification, and internal control in the master mix, and we processed them in each run. The interpretation of data was done automatically by CFX Maestro software that showed the results to threshold and cutoff values. Positive and negative controls were used for quality control in each run.
Nucleotide sequence accession numbers
The sequences for each detected NTM isolate were aligned separately and compared with all existing relevant sequences of mycobacteria recovered from GenBank database, and the sequences were deposited in GenBank under accession numbers OQ466451-OQ466527.
Statistical Package for Social Sciences (SPSS), version 22 (IBM Inc., Armonk, New York, USA) was used to analyze the data. Data were presented as mean ± SD, frequencies, and percentages. LJ culture was used as a gold standard test, whereas ZNS and NTM RT-PCR as screening test. Specificity, sensitivity, positive predictive, and negative predictive values were measured as recommended by Standards for Reporting of Diagnostic Accuracy Studies.
Our study included 124 samples suspected of EPNTM infections. The results of phenotypic tests (ZNS, LJ culture, and biochemical tests) and molecular methods (Real-time PCR and rpoB-based PCR sequencing) are shown in Table 1. From 124 samples, 77 (62%) were positive for NTM by culture and biochemical tests, and rpoB gene sequence analysis. Among suspected samples (124), 29 (23.38%) were positive by ZNS, while culture and biochemical tests showed 47 (37.90%) samples were positive. RT-PCR revealed that 69 (55.64%) EP samples were positive for NTM species. The 77 positive samples belonged to 31 female (48.05%) and male (59.74%) patients with mean ± SD age of 47.35 ± 14.58 years. The distribution of different samples in relation to patients’ gender is presented in Table 2. The positive samples were recovered from the following samples: lymph node (n = 39, 50.64%), pleural fluid (n = 23, 29.87%), skin lesion aspiration (n = 10, 12.98%), urine (n = 3, 3.89%), and bone biopsy (n = 2, 2.59%) [Table 2]. The analyzed EP positive samples were collected from different hospitals in Ahvaz city and the majority of isolates were originated from Razi (n = 43/77, 55.84%) and Golestan (n = 34 /77, 44.15%) teaching hospitals. Based on patients’ files, the most frequent past medical history was human immunodeficiency virus (HIV) infection (n = 51/77, 66.23%), and TB (n = 21/77, 27.27%). Other medical histories and medical presentations in patients are presented in Table 3. To have a definitive identification, for all 77 isolates, rpoB gene sequencing was performed, which showed more than 99% homology with M. abscessus (n = 8/77, 10.38%), M. simiae (n = 18/77, 23.37%), M. fortuitum (n = 20/77, 25.97%), M. chelonae (n = 3/77, 3.89%), M. kansasii (n = 14/77, 18.18%) and M. intracellulare (n = 14/77, 18.18%). In Real-Time PCR, 69 isolates, which showed more homology with standard species were included: M. abscessus (n = 8/69, 11.59%), M. simiae (n = 16/69, 23.18%), M. fortuitum (n = 19/69, 27.53%), M. chelonae (n = 1/69, 1.44%), M. kansasii (n = 12/69, 17.39%)12 and M. intracellulare (n = 13/69, 18.84%). M. fortuitum was the most commonly isolated NTM in the present study by all applied methods. The results from ZNS and molecular methods are compared with culture. The applied phenotypic and molecular methods methods for EPNTM samples, demonstrated overall specificities, sensitivities, negative predictive, and positive predictive values (with 95% confidence intervals), which are indicated in Tables 4 and 5.
As the number of immunocompromised patients increases worldwide (such as cancer patients, transplant recipients, and those on immunosuppressive drugs), we are facing an increase in NTM infections (Pennington et al. 2021). The clinical manifestations of NTM disease are similar to those of TB and may pose a diagnostic challenge even to an experienced clinician (Sharma and Upadyay 2020). In endemic coutries for TB like Iran, NTM infections are frequently misdiagnosed as TB both from clinical manifestation and conventional laboratory criteria (Nasiri et al. 2018a, b). In this study, we investigated EP samples to characterize EPNTM diseases in patients from referral hospitals in southwest Iran. The rate of EPNTM were highest in Razi and Golestan main teaching hospitals as 55.84% (n = 43), and 44.15% (n = 34) respectively. We detected 62% (n = 77) NTM species among 124 EPNTM suspected specimens, these were mostly isolated from lymph node and pleural fluid specimens respectively, which accounts for the most prevalent obtained specimens in the present study. The results were not in concordance with other studies in developed and developing countries which they reported the prevalence of EPNTM lower in comparison to our study. Moreover in their studies, NTM lymphadenitis at 35.3% and peritoneal NTM at 12.05%, were reported as the frequent form of EPNTM (Fang et al. 2022; Abdallah et al. 2015). However, in the study performed by Sunnetcioglu et al. (2015), the main sites and rate of EPNTM involvement were lymph nodes (50%), and pleura (32%), which were in agreement with epidemiological data from our study. Moreover, similar to our findings, EPNTM was more commonly detected in mens in their study. The proportion of EPNTM infections has been growing over the past decades, with remarkable differences in the involvement organs and rates reported from different countries (Sama et al. 2016; Park et al. 2019). In this study the rate of EPNTM was (62%) which this rate was higher than to the prevalence of EPNTM in developing countries such as Turkey and Ethiopia at 49.4%, and 49.8% respectively (Sunnetcioglu et al. 2015; Arega et al. 2020). According to the Iranian ministry of health, EPNTM estimated 19.14% in Iran (Zahedi et al. 2017), and there has been decreasing in the rate since 2015 (Meghdadi et al. 2015; Hadifar et al. 2019). It was found that EPNTM patients were relatively young (mean age 32 years) and the proportion declined with age. Similar to our results, a study in Saudi Arabia reported a high prevalence of EPNTM in productive age groups (AlJumah et al. 2020). Because of the lack of adequate diagnostic facilities, complicacy of diagnosis, and absence of a national program, the importance of all forms of EPNTM is not recognized yet. Usually, histopathology examination of affected sites and tissues is recommended for diagnosing EPNTM patients. While the typical histopathological finding for EPNTM is a caseation granuloma, non-caseation granuloma may also begin TB treatment in our setting. To make such a decision, the high prevalence of TB and the lack of or non-availability of definitive diagnostics tools (e.g. the mycobacterial culture technique) need to be taken into account. We used a set of specific primers in PCR method for the detection of EPNTM, and 77 out of the total 124 suspected samples were positive. The results indicated that the PCR method revealed similar clinical sensitivity to culture as the standard gold method. In agreement with our results, the other studies showed that molecular methods are more sensitive than traditional methods. PCR technique can amplify different targets at the same time and it is used to detect and identify mycobacteria from the M. tuberculosis complex and NTM (Meghdadi et al. 2015). In current study we compared the sensitivity of both PCR and Real-Time PCR methods, and the results showed that PCR method reached a sensitivity of 100% but the sensitivity of Real-Time PCR was 80%. Recent studies, have so far assessed the Real-Time PCR sensitivity (Kalaiarasan et al. 2020; Wang et al. 2015), and in general, their sensitivity estimatation is higher than ours, perhaps because they dealt with a much higher proportion of smear-positive samples.
In conclusion, the magnitude of EPNTM can be overestimated for different reasons such as the fact that the study was on referred patients for TB to refrral hospitals. In addition, the diagnosis of most of the cases was not confirmed microbiologically and other mimic cases can be considered EPNTM. In general, the growing trend of EPNTM in Iran needs specific programs and resources to have a better diagnosis in Iran. PCR sequencing is a reliable method, it can be used to definitively confirm isolates with culture.
All data generated or analyzed during this study are included in the present published article.
Extrapulmonary nontuberculous mycobacteria
Human immunodeficiency virus
Centers for Disease Control and Prevention
M. avium complex
National Center for Biotechnology Information
World health organization.
Abdallah TEM, Toum FEM, Bashir OH, Mansoor TI, Yuosif MM, Elkhawad MA, Okud IO, Mohammed AO, Ali AAA (2015) Epidemiology of extra pulmonary tuberculosis in Eastern Sudan Asian Pac. J Trop Biomed 5:505–508. https://doi.org/10.1016/S2221-1691(13)60013-1
Adékambi T, Colson P, Drancourt M (2003) Rpob-based identification of non-pigmented and late-pigmenting rapidly growing mycobacteria. J Clin Microbiol 41:5699–5708. https://doi.org/10.1128/JCM.41.12.56
Al Jumah M, Bunyan R, Al Otaibi H, Al Towaijri G, Karim A, Al Malik Y, Kalakatawi M, Alrajeh S, Al Mejally M, Algahtani H, Almubarak A (2020) Rising prevalence of multiple sclerosis in Saudi Arabia, a descriptive study. BMC Neurol 20:1–7. https://doi.org/10.1186/s12883-020-1629-3
Arega B, Mersha A, Minda A, Getachew Y, Sitotaw A, Gebeyehu T, Agunie A (2020) Epidemiology and the diagnostic challenge of extra-pulmonary tuberculosis in a teaching hospital in Ethiopia. PLoS ONE 15:e0243945
Fang Y, Zhou Q, Li L, Zhou Y, Sha W (2022) Epidemiological characteristics of extrapulmonary tuberculosis patients with or without pulmonary tuberculosis. Epidemiol Infect 150:e158. https://doi.org/10.1017/S0950268822001236
Feng JY, Chen WC, Chen YY, Su WJ (2020) Clinical relevance and diagnosis of nontuberculous mycobacterial pulmonary disease in populations at risk. J Formos Med Assoc 119:S23–S31. https://doi.org/10.1016/j.jfma.2020.05.012
Ghielmetti G, Giger U (2020) Mycobacterium avium: an Emerging Pathogen for Dog Breeds with Hereditary Immunodeficiencies. Curr Clin Microbiol Rep 18:1–4. https://doi.org/10.1007/s40588-020-00145-5
Gopalaswamy R, Shanmugam S, Mondal R, Subbian S (2020) Of tuberculosis and non-tuberculous mycobacterial infections – a comparative analysis of epidemiology, diagnosis and treatment. J Biomed Sci 27:74. https://doi.org/10.1186/s12929-020-00667-6
Hadifar S, Shamkhali L, Kargarpour Kamakoli M, Mostafaei S, Khanipour S, Mansoori N, Fateh A, Siadat SD, Vaziri F (2019) Genetic diversity of Mycobacterium tuberculosis isolates causing pulmonary and extrapulmonary tuberculosis in the capital of Iran. Mol Phylogenet Evol 132:46–52. https://doi.org/10.1016/j.ympev.2018.11.019
Henkle E, Winthrop K (2015) Nontuberculous mycobacteria infections in immunosuppressed hosts. Clin Chest Med 36:91–99
Kalaiarasan E, Thangavelu K, Krishnapriya K, Muthuraj M, Jose M, Joseph NM (2020) Diagnostic performance of real time PCR and MALDI-TOF in the detection of nontuberculous mycobacteria from clinical isolates. Tuberculosis 125:101988. https://doi.org/10.1016/j.tube.2020.101988
Kent PT (1985) Public health mycobacteriology: a guide for the level III laboratory. US department of health and human services, public health service, centers for disease control and prevention, Atlanta, GA
Lapinel NC, Jolley SE, Ali J, Welsh DA (2019) Prevalence of non-tuberculous mycobacteria in HIV-infected patients admitted to hospital with pneumonia. Int J Tuberc Lung Dis 23:491–497. https://doi.org/10.5588/ijtld.18.0336
Lee JY (2015) Diagnosis and treatment of extrapulmonary tuberculosis. Tuberc Respir Dis (Seoul) 78:47–55. https://doi.org/10.4046/trd.2015.78.2.47
Meghdadi H, Khosravi AD, Ghadiri AA, Sina AH, Alami A (2015) Detection of Mycobacterium tuberculosis in extrapulmonary biopsy samples using PCR targeting IS6110, rpoB, and nested-rpob PCR cloning. Front Microbiol 6:675. https://doi.org/10.3389/fmicb.2015.00675
Nasiri MJ, Dabiri H, Fooladi AA, Amini S, Hamzehloo G, Feizabadi MM (2018a) High rates of nontuberculous mycobacteria isolation from patients with presumptive tuberculosis in Iran. New Microbes New Infect 21:12–17. 10.1016/j.nmni.2017.08.008
Nasiri MJ, Feizabadi MM, Dabiri H, Imani Fooladi AA (2018b) Prevalence of nontuberculous mycobacteria: a single center study in Tehran, Iran. Arch Clin Infect Dis 30. 10.5812/archcid.61042
Nurwidya F, Handayani D, Burhan E, Yunus F (2018) Molecular diagnosis of tuberculosis. Chonnam Med J 54:1–9. https://doi.org/10.4068/cmj.2018.54.1.1
Park SC, Kang MJ, Han CH, Lee SM, Kim CJ, Lee JM, Kang Y (2019) Prevalence, incidence, and mortality of nontuberculous mycobacterial infection in Korea: a nationwide population-based study. BMC pulmonary med 19:1–9. https://doi.org/10.1186/s12890-019-0901-z
Pennington KM, Vu A, Challener D, Rivera CG, Shweta FN, Zeuli JD, Temesgen Z (2021) Approach to the diagnosis and treatment of nontuberculous mycobacterial disease. J Clin Tubercul Mycobacter Dis. https://doi.org/10.1016/j.jctube.2021.100244
Razavi S, Dadashi M, Pormohammad A, Khoramrooz SS, Mirzaii M, Gholipour A, Darban-Sarokhalil D (2018) Methicillin-resistant staphylococcus epidermidis in Iran: a systematic review and meta-analysis. Arch Clin Infect Dis 13. https://doi.org/10.5812/archcid.58410
Saitou N, Nei M (1987) The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol 4:406–425. https://doi.org/10.1093/oxfordjournals.molbev.a040454
Sama AJ, Chida N, Polan RM, Nuzzo J, Page K, Shah M (2016) High proportion of extrapulmonary tuberculosis in a low prevalence setting: a retrospective cohort study. Public Health 138:101–107. https://doi.org/10.1371/journal.pone.0243945
Schlossberg DL (2020) In: Tuberculosis and nontuberculous mycobacterial infections, vol 27. John Wiley & Sons, pp 1–7. https://doi.org/10.1186/s12929-020-00667-6
Sharma SK, Upadyay V (2020) Epidemiology, diagnosis & treatment of non-tuberculous mycobacterial diseases. Indian J Med Res 152:185–226. https://doi.org/10.4103/ijmr.IJMR_902_20
Song Y, Zhang L, Yang H, Liu G, Huang H, Wu J, Chen J (2018) Nontuberculous mycobacterium infection in renal transplant recipients: a systematic review. Infect Dis (Lond) 50:409–416. https://doi.org/10.1080/23744235.2017.1411604
Sunnetcioglu A, Sunnetcioglu M, Binici I, Baran AI, Karahocagil MK, Saydan MR (2015) Comparative analysis of pulmonary and extrapulmonary tuberculosis of 411 cases. Ann Clin Microbiol Antimicrob 14:1–5. https://doi.org/10.1186/s12941-015-0092-2
Wang HY, Kim H, Kim S, Kim DK, Cho SN, Lee H (2015) Performance of a real-time PCR assay for the rapid identification of Mycobacterium species. J Microbiol 53:38–46. https://doi.org/10.1007/s12275-015-4495-8
Zahedi Bialvaei A, Asgharzadeh M, Aghazadeh M, Nourazarian M, Samadi Kafil H (2017) Challenges of Tuberculosis in Iran. Jundishapur J Microbiol 10:e37866. https://doi.org/10.5812/jjm.37866
World Health Organization (2022) Global Tuberculosis report. https://www.who.int/teams/global-tuberculosis-programme/tb-reports
This work was approved in Infectious and Tropical Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. We are grateful to research affairs of the university for financial support of the study.
This work was financially supported by a grant from Research Affairs (Grant No. OG-9740), Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Ethics approval and consent to participate
This research was conducted according to the Helsinki Declaration. The study was approved by the Research Ethics Committee (REC) of the Ahvaz Jundishapur University of Medical Scieces, Ahvaz, Iran, and the necessary permission was granted for samples collection (IR.AJUMS.REC.1397.829).
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Hashemzadeh, M., Dezfuli, A.A., Khosravi, A.D. et al. Molecular identification of non-tuberculous mycobacterial species isolated from extrapulmonary samples using real-time PCR and rpoB sequence analysis. AMB Expr 13, 43 (2023). https://doi.org/10.1186/s13568-023-01553-8
- Nontuberculous mycobacteria
- Molecular methods