124
Views
0
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Performance of Interferon-γ Release Assays in Patients with Mycobacterium kansasii Infection

, & ORCID Icon
Pages 7727-7732 | Received 09 Aug 2022, Accepted 14 Nov 2022, Published online: 28 Dec 2022

Abstract

Objective

To evaluate the performance of interferon-γ release assays (IGRAs) in patients with Mycobacterium kansasii infection.

Methods

Consecutive patients between May 2012 and June 2021 who had positive for mycobacterial cultures and who underwent IGRAs (T-SPOT.TB or QuantiFERON-TB Gold [QFT-G]) were included in the analysis. The IGRA positivity rates among patients with M. kansasii isolates were then calculated. If M. kansasii was identified in at least two sputum samples or in sterile samples, M. kansasii disease was then diagnosed. Otherwise, colonisation was considered.

Results

During the study period, 54 patients with M. kansasii infection underwent T-SPOT.TB (n=48) or QFT-G (n=6) assays. The mean age was 44.1±13.4 years, 85.2% (46/54) were male. Eight patients were diagnosed with M. kansasii disease and another 46 patients were considered to have colonisation. Twenty-four patients (T-SPOT.TB, n=23; QFT-G, n=1) were positive for IGRAs, for an overall rate of 44.4% (24/54; T-SPOT.TB, 47.9% [23/48]; QFT-G, 16.7% [1/6]) for IGRAs, 25.0% (2/8) for M. kansasii disease, and 47.8% (22/46) for colonisation.

Conclusion

Positive IGRA rates were relatively low in patients with M. kansasii infection. More efforts are required to improve the performance of IGRAs in diagnosing M. kansasii infection.

Introduction

Interferon-γ (IFN-γ) release assays (IGRAs) are designed to identify tuberculosis (TB) infections. Currently, two commercial assays are available; each uses different platforms to measure the IFN-γ production stimulated by early secretory antigenic target (ESAT)-6 and culture filtrate protein (CFP)-10.Citation1 The QuantiFERON-TB assay (QFT; Qiagen, Hilden, Germany) is an overnight whole-blood enzyme-linked immunosorbent assay (ELISA) for quantitation of IFN-γ in the supernatant, whereas the T-SPOT.TB (Oxford Immunotec, Oxford, UK) measures the number of mononuclear cells secreting IFN-γ via an overnight enzyme-linked immunospot assay. In general, an IGRA is sensitive for detecting TB infection, with a sensitivity of 0.94 for active TB and 0.91 for latent TB infection.Citation2 However, IGRAs have shown limitations in borderline intervals, as well as in consistency. For example, caution should be taken when interpreting QFT results close to the assay cut-off, where assay conversion/reversion is likely to be observed in serial testing.Citation3 For Chinese village doctors, the concordance between the T-SPOT and QFT-Plus assays was 88.93% (Kappa coefficient: 0.73), and this remains unsatisfactory.Citation4

For many decades, the tuberculin skin test (TST) was the only test available for detecting TB infection. However, the TST has several well-known disadvantages, including cross-reactivity with Bacillus Calmette-Guérin (BCG) and non-tuberculous mycobacteria (NTM), poor adherence due to return for results and wide variations observed in reading the results. IGRAs have recently been recommended in clinical practice and have several advantages for the diagnosis of TB infectionCitation1,Citation5–7. Compared to the TST, IGRAs have several advantages, such as being unaffected by BCG vaccination, IGRAs may produce fewer false positive reactions due to exposure to environmental mycobacteria. Compared with the TST, IGRAs are also less time consuming, because only a single patient visit is required and the results can be available within 24 hours.

NTMs are opportunistic pathogens and are widely distributed in the environment. Current, evidence suggests that the isolation rate of NTMs has been increasing in recent years.Citation8 In addition, human immunodeficiency virus (HIV) infection is a known risk factor for mycobacterial disease (both TB and NTM infections),Citation9 and its epidemic increases the complexity of the situation regarding NTM diseases. Mycobacterium kansasii is one of the most common NTM species, accounting for about 10% of NTM species isolated from clinical samples.Citation10–12 Until now, the diagnosis of NTM disease has mostly relied on microbiological evidence showing positive at least two separate sputum samples.Citation13 This diagnostic criterion is very specific and may contribute to a significantly missed diagnosis of M. kansasii infection. Therefore, more efforts aimed at improving the clinical and radiologic items of the guidelines would improve the effective diagnosis of NTM disease.Citation13 NTMs like M. kansasii that shares the RD1 region and show expression of ESAT-6 and CFP-10, can give rise to positive IGRA results.Citation14 Although the IGRA results for M. kansasii infection were reported in our previous study, the sample size (n=4) was too small to provide full details of the IGRA performance.Citation15 Therefore, the present study adopted a larger sample size to evaluate the performance of IGRAs in patients with M. kansasii infection and to assess the actual role of IGRAs in detecting M. kansasii infections.

Methods

This study was conducted at Shandong Provincial Chest Hospital and conformed to the tenets of the Declaration of Helsinki. The study protocol was approved by the Ethics Committee of Shandong Provincial Chest Hospital. Due to the retrospective nature of this investigation and the anonymous nature of the data collection, written informed consent was waived by that Ethics Committee. Between May 2012 and June 2021, consecutive patients who were positive for mycobacterial culture and underwent IGRAs (T-SPOT.TB or QuantiFERON-TB Gold [QFT-G]) were included in the analysis. The patient data were retrieved from the laboratory information system (Ruimei, Shanghai, China). Other clinical characteristics, such as age, sex and HIV status, were also collected.

Sputum samples were cultured using Löwenstein-Jensen medium method and corresponding quality control was conducted as previously reported.Citation10 M. kansasii was identified using a Mycobacteria Identification Array Kit (CapitalBio, Beijing, China) or by sequencing 16S rDNA.Citation10 If M. kansasii was identified in at least two sputum samples or in sterile samples, M. kansasii disease was then diagnosed.Citation16,Citation17 Otherwise, colonisation was considered.

The T-SPOT.TB and QFT-G IGRAs were performed according to the manufacturer’s instructions. A positive T-SPOT.TB test result was defined using a cut-off value of at least 6 spots. For QFT-G results, the manufacturer’s indicated cut-off of more than 0.35 IU/mL was considered a positive test result.

Continuous variables were presented as mean ± standard deviation (SD) and categorical variables were described as count and percentages.

Results

During the study period, 25,617 mycobacterial strains were found in the clinical samples. Of these, 1107 (4.3%) strains were identified as NTM species, including 110 strains isolated from outpatients and 997 strains from 828 inpatients. The 997 strains were identified as M. intracellulare (n=662, 66.4%), M. kansasii (n=111, 11.1%), M. chelonei (n=103, 10.3%), M. fortuitum (n=39, 3.9%), M. gordonae (n=20, 2.0%), M. avium (n=20, 2.0%), and others (n=42, 4.2%). A total of 111 M. kansasii isolates were collected from 97 inpatients.

Of the 97 patients, 54 underwent T-SPOT.TB (n=48) or QFT-G (n=6). The mean age was 44.1±13.4 years, 85.2% (46/54) of them were male, and 97.6% (40/41) were HIV-negative. Of the 54, 8 were diagnosed with M. kansasii disease and the remaining 46 patients were considered to have colonisation. In total, 24 patients (T-SPOT.TB, n=23; QFT-G, n=1) were positive for IGRAs and the positive IGRA rate in patients with M. kansasii was calculated as 44.4% (24/54; T-SPOT.TB, 47.9% [23/48]; QFT-G, 16.7% [1/6]). The positivity rates were further calculated as 25.0% (2/8) for M. kansasii disease and 47.8% (22/46) for colonisation. shows the characteristics of the included patients.

Table 1 The IGRA Results and Clinical Characteristics of Patients with M. Kansasii Infection

Discussion

A significant IFN-γ production in response to a high conservation antigen of M. tuberculosis was previously observed in individuals with NTM infection.Citation18 Hence, positive IGRA results are expected among patients with M. kansasii infection, as both the ESAT-6 and CFP-10 antigens are found in M. kansasii.Citation19,Citation20 In this study, assessment of the IGRA performance in patients with M. kansasii infection yielded an overall positivity rate of 44.4%. Our data suggested that the T cell response to antigens of M. kansasii is relatively weak and that the diagnostic value of IGRAs may be limited for M. kansasii infection.

However, in China, the use of IGRAs has several advantages in the diagnosis of M. kansasii infection. First, if anti-TB therapy fails, a positive IGRA result would increase the suspicion of M. kansasii infection and provide a rapid diagnosis.Citation14 Second, M. kansasii is usually considered pathogenic, as it readily causes disease.Citation21 A previous study demonstrated that a single positive culture for M. kansasii in the proper context could provide sufficient evidence for treatment initiation.Citation22 Hence, single isolation and a positive IGRA may be appropriate criteria for the diagnosis of M. kansasii disease. Third, M. intracellulare, M. kansasii and M. fortuitum are the three most common NTM species in China.Citation8,Citation10 These epidemiological characteristics which were similar to our reports, raise several clinical implications for IGRA identification of M. kansasii infection. For example, IGRAs have the ability to discriminate M. kansasii infections from infections by other NTMs (such as M. intracellulare and M. fortuitum, which lack ESAT-6 and CFP-10.Citation14 A positive IGRA could increase the certainty of a diagnosis of M. kansasii infection.

At present, several studies with small sample sizes have been performed to evaluate of IGRA performance in M. kansasii infection. Kobashi Y et al evaluated the clinical usefulness of the QFT-2G test in patients with NTM disease and found a positive response rate of 52% for QFT-2G test in 33 patients with M. kansasii disease.Citation23 In a preliminary study conducted in Poland, positive IGRA results were found in 22% (2/9) of patients with M. kansasii infection.Citation24 In a Danish study, only two patients with M. kansasii infection were tested using QFT-G, but both were positive for QFT-G.Citation25 In Japan, a retrospective study showed that patients with M. kansasii infection had positive IGRA rates ranging between 25.9% and 33.3%.Citation26 By contrast, due to the lack of ESAT-6 and CFP-10, the IGRA positivity rate was significantly lower for infection with M. avium complex (1–2%),Citation23,Citation27 which is a major source of NTM infection.Citation23,Citation28

The response to ESAT-6 and CFP-10 antigens is weaker in patients with M. kansasii infection than in those with TB infection. One reason may be that differences in ESAT-6 and CFP-10 between M. kansasii and M. tuberculosis have been reported for nucleotide sequences (10–12%) and amino acid sequences (<5%); therefore, these differences may attenuate the response. Indirect evidence has indicated attenuation of the T cell response in TB patients due to the differences in TB-ESAT-6 and M. kansasii-ESAT-6.Citation29 Another reason may be that the production capacity of IFN-γ is lower in NTM patients than in TB patients.Citation30

Impairment of the IFN-γ responses dependent on stimulation has been observed in patients with NTM infection,Citation31 suggesting an immunologic imbalance in NTM infection. Future studies should re-evaluate the optimal cut-off values of IGRAs for the diagnosis of M. kansasii infection with respect to CFP-10 and ESAT-6.Citation32,Citation33 Recently, a highly specific protein that can stimulate specific IFN-γ secretion has been designed for the diagnosis of M. abscessus infection. This novel assay has a moderate AUC of 0.773 for diagnosis,Citation34 suggesting antigens originating from M. kansasii could also be used to improve the IGRA results for M. kansasii infection.

Our study had several limitations. First, it was conducted in a high-TB burden country, so latent TB infection may affect our results. Second, the distribution of NTM species a geographical variation; therefore, the epidemiological characteristics could have a significant effect on IGRA usefulness. Third, although the study had a small sample size, it remains one of the largest studies compared with others. Fourth, the IGRAs are designed for the evaluation of TB infection; therefore, further studies are required to evaluate the IFN-γ response to antigens from NTM for the diagnosis of NTM diseases.Citation34 Fifth, two kinds of commercial IGRAs were used in this study, and this could have introduced an additional bias due to the inherent differences between them, such as the TB antigens (T-SPOT.TB assays, RD-1 antigens; QFT assays, TB 7.7 and RD-1 antigens),Citation35 technical platforms (T-SPOT.TB uses effector T cells; QFT determines IFN-γ levels), specimens used (QFT uses whole blood cells; T-SPOT.TB uses mononuclear cells), indeterminate results (these are more common in QFT),Citation36 and diagnostic performance.Citation37,Citation38 Therefore, interpreting the results requires caution.

In conclusion, our data demonstrated that a significant proportion of M. kansasii infections generate positive results for IGRAs. Infection by M. kansasii could therefore induce IFN-γ production with the TB antigens. However, further studies are required to address this more completely, and to evaluate the IFN-γ responses to M. kansasii antigens for the diagnosis of M. kansasii infections.

Data Sharing Statement

The raw data supporting the conclusions of this article will be made available by the authors without undue reservation.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

The authors have no competing interests in this work.

Additional information

Funding

The study was supported by the Young Taishan Scholars Program of Shandong Province (2021).

References

  • Mazurek GH, Jereb J, Vernon A., et al. Updated guidelines for using Interferon Gamma Release Assays to detect Mycobacterium tuberculosis infection - United States, 2010. MMWR Recomm Rep. 2010;59:1–25.
  • Sotgiu G, Saderi L, Petruccioli E, et al. QuantiFERON TB Gold Plus for the diagnosis of tuberculosis: a systematic review and meta-analysis. J Infect. 2019;79:444–453. doi:10.1016/j.jinf.2019.08.018
  • Nemes E, Rozot V, Geldenhuys H, et al. Optimization and Interpretation of Serial QuantiFERON Testing to Measure Acquisition of Mycobacterium tuberculosis Infection. Am J Respir Crit Care Med. 2017;196:638–648. doi:10.1164/rccm.201704-0817OC
  • Zhang H, Xin H, Wang D, et al. Serial testing of Mycobacterium tuberculosis infection in Chinese village doctors by QuantiFERON-TB Gold Plus, QuantiFERON-TB Gold in-Tube and T-SPOT.TB. J Infect. 2019;78:305–310. doi:10.1016/j.jinf.2019.01.008
  • Sosa LE, Njie GJ, Lobato MN, et al. Tuberculosis Screening, Testing, and Treatment of U.S. Health Care Personnel: recommendations from the National Tuberculosis Controllers Association and CDC, 2019. MMWR Morb Mortal Wkly Rep. 2019;68:439–443. doi:10.15585/mmwr.mm6819a3
  • Santin M, Garcia-Garcia JM, Rigau D, et al. Executive Summary of the Guidelines for the Use of interferon-gamma Release Assays in the Diagnosis of Tuberculosis Infection. Arch Bronconeumol. 2016;52:477–481. doi:10.1016/j.arbres.2016.02.020
  • Getahun H, Matteelli A, Abubakar I, et al. Management of latent Mycobacterium tuberculosis infection: WHO guidelines for low tuberculosis burden countries. Eur Respir J. 2015;46:1563–1576. doi:10.1183/13993003.01245-2015
  • Xu D, Han C, Wang MS, Wang JL. Increasing prevalence of non-tuberculous mycobacterial infection from 2004-2009 to 2012-2017: a laboratory-based surveillance in China. J Infect. 2018;76:422–424. doi:10.1016/j.jinf.2017.12.007
  • Corbett EL, Churchyard GJ, Clayton T, et al. Risk factors for pulmonary mycobacterial disease in South African gold miners. A case-control study. Am J Respir Crit Care Med. 1999;159:94–99. doi:10.1164/ajrccm.159.1.9803048
  • Jing H, Wang H, Wang Y, et al. Prevalence of nontuberculous mycobacteria infection, China, 2004-2009. Emerg Infect Dis. 2012;18:527–528. doi:10.3201/eid1803.110175
  • Yu X, Liu P, Liu G, et al. The prevalence of non-tuberculous mycobacterial infections in mainland China: systematic review and meta-analysis. J Infect. 2016;73:558–567. doi:10.1016/j.jinf.2016.08.020
  • Tan Y, Deng Y, Yan X, et al. Nontuberculous mycobacterial pulmonary disease and associated risk factors in China: a prospective surveillance study. J Infect. 2021;83:46–53. doi:10.1016/j.jinf.2021.05.019
  • Daley CL, Iaccarino JM, Lange C, et al. Treatment of Nontuberculous Mycobacterial Pulmonary Disease: an Official ATS/ERS/ESCMID/IDSA Clinical Practice Guideline. Clin Infect Dis. 2020;71:905–913. doi:10.1093/cid/ciaa1125
  • Kuznetcova TI, Sauty A, Herbort CP. Uveitis with occult choroiditis due to Mycobacterium kansasii: limitations of interferon-gamma release assay (IGRA) tests (case report and mini-review on ocular non-tuberculous mycobacteria and IGRA cross-reactivity). Int Ophthalmol. 2012;32:499–506. doi:10.1007/s10792-012-9588-3
  • Wang MS, Wang JL, Wang XF. The performance of interferon-gamma release assay in nontuberculous mycobacterial diseases: a retrospective study in China. BMC Pulm Med. 2016;16:163. doi:10.1186/s12890-016-0320-3
  • Daley CL, Iaccarino JM, Lange C, et al. Treatment of nontuberculous mycobacterial pulmonary disease: an official ATS/ERS/ESCMID/IDSA clinical practice guideline. Eur Respir J. 2020;56:905–913. doi:10.1183/13993003.00535-2020
  • He Y, Zhang YA, Wang MS. Stool culture for diagnosis of nontuberculous mycobacteria pulmonary disease: an indirect evidence. J Infect. 2021;83(5):607–635. doi:10.1016/j.jinf.2021.08.002
  • Lin MY, Reddy TB, Arend SM, et al. Cross-reactive immunity to Mycobacterium tuberculosis DosR regulon-encoded antigens in individuals infected with environmental, nontuberculous mycobacteria. Infect Immun. 2009;77:5071–5079. doi:10.1128/IAI.00457-09
  • Arend SM, Andersen P, van Meijgaarden KE, et al. Detection of active tuberculosis infection by T cell responses to early-secreted antigenic target 6-kDa protein and culture filtrate protein 10. J Infect Dis. 2000;181:1850–1854. doi:10.1086/315448
  • Scherrer S, Landolt P, Friedel U, Stephan R. Distribution and expression of esat-6 and cfp-10 in non-tuberculous mycobacteria isolated from lymph nodes of slaughtered cattle in Switzerland. J Vet Diagn Invest. 2019;31:217–221. doi:10.1177/1040638718824074
  • van Ingen J, Bendien SA, de Lange WC, et al. Clinical relevance of non-tuberculous mycobacteria isolated in the Nijmegen-Arnhem region, The Netherlands. Thorax. 2009;64:502–506. doi:10.1136/thx.2008.110957
  • Jankovic M, Sabol I, Zmak L, et al. Microbiological criteria in non-tuberculous mycobacteria pulmonary disease: a tool for diagnosis and epidemiology. Int J Tuberc Lung Dis. 2016;20:934–940. doi:10.5588/ijtld.15.0633
  • Kobashi Y, Mouri K, Yagi S, et al. Clinical evaluation of the QuantiFERON-TB Gold test in patients with non-tuberculous mycobacterial disease. Int J Tuberc Lung Dis. 2009;13:1422–1426.
  • Augustynowicz-Kopec E, Siemion-Szczesniak I, Zabost A, et al. Interferon Gamma Release Assays in Patients with Respiratory Isolates of Non-Tuberculous Mycobacteria - a Preliminary Study. Pol J Microbiol. 2019;68:15–19. doi:10.21307/pjm-2019-002
  • Hermansen TS, Thomsen VO, Lillebaek T, Ravn P. Non-tuberculous mycobacteria and the performance of interferon gamma release assays in Denmark. PLoS One. 2014;9:e93986. doi:10.1371/journal.pone.0093986
  • Sato R, Nagai H, Matsui H, et al. Interferon-gamma release assays in patients with Mycobacterium kansasii pulmonary infection: a retrospective survey. J Infect. 2016;72:706–712. doi:10.1016/j.jinf.2016.03.011
  • Siegel SAR, Cavanaugh M, Ku JH, Kawamura LM, Winthrop KL. Specificity of QuantiFERON-TB Plus, a New-Generation Interferon Gamma Release Assay. J Clin Microbiol. 2018;1:56. doi:10.1128/JCM.00629-18
  • Kobashi Y, Obase Y, Fukuda M, Yoshida K, Miyashita N, Oka M. Clinical reevaluation of the QuantiFERON TB-2G test as a diagnostic method for differentiating active tuberculosis from nontuberculous mycobacteriosis. Clin Infect Dis. 2006;43:1540–1546. doi:10.1086/509327
  • Hur YG, Crampin AC, Chisambo C, et al. Identification of immunological biomarkers which may differentiate latent tuberculosis from exposure to environmental nontuberculous mycobacteria in children. Clin Vaccine Immunol. 2014;21:133–142. doi:10.1128/CVI.00620-13
  • Greinert U, Schlaak M, Rusch-Gerdes S, Flad HD, Ernst M. Low in vitro production of interferon-gamma and tumor necrosis factor-alpha in HIV-seronegative patients with pulmonary disease caused by nontuberculous mycobacteria. J Clin Immunol. 2000;20:445–452.
  • Rae W, Gao Y, Eren E, Doffinger R, Marshall B, Williams AP. Differential Impairment of Interferon-gamma Responses in Two Cases of Pulmonary Nontuberculous Mycobacterial Disease. Case Reports Immunol. 2016;2016:9165641. doi:10.1155/2016/9165641
  • Elnaggar MM, El-Naggar MM, Abdellrazeq GS, et al. Development of an improved ESAT-6 and CFP-10 peptide-based cytokine flow cytometric assay for bovine tuberculosis. Comp Immunol Microbiol Infect Dis. 2015;42:1–7. doi:10.1016/j.cimid.2015.07.005
  • Yang C, Luo X, Fan L, Sha W, Xiao H, Cui H. Performance of Interferon-Gamma Release Assays in the Diagnosis of Nontuberculous Mycobacterial Diseases-A Retrospective Survey From 2011 to 2019. Front Cell Infect Microbiol. 2020;10:571230. doi:10.3389/fcimb.2020.571230
  • Steindor M, Stehling F, Olivier M, et al. Species-Specific Interferon-Gamma Release Assay for the Diagnosis of Mycobacterium abscessus Complex Infection. Front Microbiol. 2021;12:692395. doi:10.3389/fmicb.2021.692395
  • van Zyl-Smit RN, Lehloenya RJ, Meldau R, Dheda K. Impact of correcting the lymphocyte count to improve the sensitivity of TB antigen-specific peripheral blood-based quantitative T cell assays (T-SPOT. (®)TB and QFT-GIT). J Thorac Dis. 2016;8:482–489. doi:10.21037/jtd.2016.02.65
  • Du F, Xie L, Zhang Y, et al. Prospective Comparison of QFT-GIT and T-SPOT.TB Assays for Diagnosis of Active Tuberculosis. Sci Rep. 2018;8:5882. doi:10.1038/s41598-018-24285-3
  • Chee CB, Gan SH, Khinmar KW, et al. Comparison of sensitivities of two commercial gamma interferon release assays for pulmonary tuberculosis. J Clin Microbiol. 2008;46:1935–1940. doi:10.1128/JCM.02403-07
  • Chee CB, KhinMar KW, Gan SH, et al. Tuberculosis treatment effect on T-cell interferon-gamma responses to Mycobacterium tuberculosis-specific antigens. Eur Respir J. 2010;36:355–361. doi:10.1183/09031936.00151309