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. 2014 Jun 10;33(11):1989–1994. doi: 10.1007/s10096-014-2150-7

A multicenter clinical evaluation of Mycobacterium tuberculosis IgG/IgM antibody detection using the colloidal gold method

Y Wang 1,2,4, B Lu 2,3, J Liu 1, T Xiao 2, K Wan 2,3,, C Guan 1,
PMCID: PMC4555362  PMID: 24913311

Abstract

A specific immunoassay method with the colloidal gold labeling technique has been developed more and more for tuberculosis (TB) diagnosis. The aim of this multicenter clinical evaluation was to evaluate the performance of a new serological diagnostic kit (the Trustline TB IgG/IgM Rapid Test kit) for the detection of Mycobacterium tuberculosis infection in China, with the Aupu TB Ab (IgG) Colloidal Gold Test kit being used as a control. A total of 1,009 specimens were collected from three TB hospitals, including 628 patients with TB, and 219 non-TB and 162 healthy patients as negative controls. According to the clinical diagnostic results, the sensitivities of the Trustline kit and the Aupu kit were 61.3 % and 53.7 %, respectively. Using the bacteriological test results as the “gold standard” to compare the results of the two kits, the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Youden index (YI) were 77.60 %, 79.8 %, 73.31 %, 81.50 %, and 0.574 by the Trustline kit, and 67.86 %, 88.9 %, 83.27 %, 77.40 %, and 0.568 by the Aupu kit, respectively. Further, the sensitivity of the Trustline kit and the Aupu kit for the smear staining and the bacterial culture being positive was 75.6 %, 76.6 % and 65.6 %, 66.5 %, and for the negative result, it was 53.8 %, 50.9 % and 47.5 %, 45.0 %, respectively. Additionally, 35 specimens were IgM-positive by the Trustline kit; of these, 30 (4.8 %) were from patients with TB and 5 (1.3 %) were from individuals without TB. The results showed that the experimental test had a much higher sensitivity than the other commercial test and exhibited a good detection rate for M. tuberculosis infection. Therefore, this kit can be used in the supplementary diagnosis and screening of TB.

Introduction

It is reported that tuberculosis (TB) caused by Mycobacterium tuberculosis (M. tuberculosis) infection has become one of the major fatal infectious diseases among adults in the world [1]. China is one of the 22 countries in the world having a high TB burden and has the second highest number of active TB cases, with more than 1 million new cases of TB diagnosed each year.

Currently, patients are diagnosed with TB based mainly on clinical symptoms, X-rays, and conventional laboratory tests, such as bacterial cultures and sputum smear acid-fast staining, which exhibit much lower sensitivity. Acid-fast staining cannot be used for the diagnosis of extrapulmonary TB, such as tuberculous pleurisy, tuberculosis of lymph nodes, tuberculosis meningitis, etc., and bacterial culture is a time-consuming method that is unsuitable for rapid and early diagnosis, and it also has very low sensitivity. Therefore, researchers are interested in the development of new rapid-detection approaches, such as immunological [2] and nucleic acid [3] detection techniques.

Since the 1980s, a number of new immunoassay techniques has been developed using three labeling techniques (fluorescein, radioisotopes, and enzymes) [4]. Such methods were initially used only for immunoelectron microscopy; however, over time, these methods have been used for additional applications in passive agglutination tests, light microscopy staining, immunoblotting, immunoblot filtration assays, and immunoassays [57]. These techniques use chromatography membranes precoated with specific substrate(s) as the solid phase; as the sample solution moves through the membrane by means of capillary action, the analytes in the sample react with specific substrates with high affinity. The resulting immune complexes are enriched or trapped within the membrane and can be visualized with markers, such as colloidal gold. This technology does not require special equipment, the products have a long shelf life and can be stored at room temperature, the operators do not need special training, and results can be obtained within 10–20 min and observed by the naked eye, making the immune colloidal gold technique especially suitable for the majority of rural and community clinics and local hospitals, on-scene investigators, large-scale urgent testing, and general disease surveys [4, 812].

In this clinical trial, we evaluated the performance of the Trustline kit (produced by Beijing Genesee Biotech, Inc.) against the Aupu kit, a dot immunogold filtration assay (DIGFA) [13]. The Trustline kit, which can detect M. tuberculosis IgG/IgM antibodies, uses a colloidal gold immunochromatography method. It uses four recombinant M. tuberculosis protein antigens (6, 14, 16, and 38 kDa) simultaneously in a single-step procedure that is simple to carry out and provides rapid results.

Materials and methods

This research was approved by the Ethics Committee of the National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. All the patients included in this study provided signed informed consent to participate in the investigation.

In this study, the experimental kit was the Trustline TB IgG/IgM Rapid Test kit (Beijing Genesee Biotech, Inc., Beijing, China). The control kit was an M. tuberculosis IgG antibody colloidal gold kit, the Aupu TB Ab (IgG) Colloidal Gold Test kit (Shanghai Aupu Biotechnology Co., Shanghai, China), which had been approved by the China Food and Drug Administration (CFDA, authorization code 20030090).

A total of 1,009 participants’ serum samples were collected from three hospitals (Table 1), among which 628 TB samples formed the case group, including 539 pulmonary TB and 89 extrapulmonary TB patients, and 381 samples comprised the negative controls, including 162 medical examiners (healthy) and 219 patients with non-TB lung diseases (non-TB). The patients had an average age of 43 ± 1.96 years, and the gender ratio (male/female) was 1.69/1. The demographic information for the 1,009 participants is shown in Table 2. All of the 1,009 participants were negative for human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) diagnosed with the China national diagnostic criteria and principles of management of HIV/AIDS. The antibodies against HIV in human plasma was tested with a third-generation HIV antibody enzyme-linked immunosorbent assay (ELISA) test, Vironostika HIV-1/2 Microelisa System (bioMérieux, Holland), within 24 h, according to the manufacturer’s instructions [14].

Table 1.

Distribution of serum samples in the three different hospitals in China

Samples Samples, n (%) Total, n
TB Non-TB Healthy
Beijing Geriatric Hospital (Beijing) 241 (72.8) 36 (10.9) 54 (16.3) 331
General Hospital of Huabei Oil Field Company 188 (53.7) 105 (30.0) 57 (16.3) 350
Cangzhou Infectious Disease Hospital (Hebei Province) 199 (60.7) 78 (23.8) 51 (15.5) 328
Total 628 (62.2) 219 (21.7) 162 (16.1) 1,009

Table 2.

Demographic information for the 1,009 participants

Pulmonary TB (%) Extrapulmonary TB (%) Non-TB (%) Healthy Total
Total 539 (63.4) 89 (8.8) 219 (21.7) 162 (16.1) 1,009
Gender Male 351 (60.2) 56 (9.6) 140 (24.0) 86 (14.8) 583
Female 188 (50.0) 33 (8.8) 79 (21.0) 76 (20.2) 376
Age Mean ± SD 45 ± 1.83 38 ± 1.78 39 ± 2.08 35 ± 1.67 43 ± 1.96
≤14 7 (25.0) 3 (10.7) 6 (21.4) 12 (42.9) 28
>14 532 (54.2) 86 (8.8) 213 (21.7) 150 (15.3) 981

Diagnoses of pulmonary TB in the study were made with the Clinical Diagnosis Standard of TB for Clinical Technology Operation (TB volumes) of the Chinese Medical Association published by the People’s Medical Publishing House (PMPH; ISBN 9787117065108). Diagnoses of extrapulmonary TB were made with the Guideline of the Ministry of Health of China. In this study, we judged the final diagnosis of all patients with curative effects.

We used the two kits (Trustline and Aupu) to detect antibodies against M. tuberculosis in the sera samples in accordance with the respective manufacturer’s instructions. We compared the kits using the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), Youden index (YI), and negative and positive bacteriology rates.

The bacteria from the pulmonary TB patients were detected by means of sputum smear acid-fast staining and Mycobacterium culture on Löwenstein–Jensen medium [15].

The data were analyzed using SPSS statistical software (version 16.0, SPSS Inc., Chicago, IL, USA). We used Cohen’s kappa (κ) equivalence test to assess the equivalence of the two testing kits [15], and the κ-value was interpreted as follows: ≥0.75, good; <0.75 and ≥0.4, moderate; <0.4, poor. We used the Z-test on a series of samples to analyze whether there were differences between the test kits. Differences with p-values of less than 0.05 were considered to be significant.

Results

Comparison of the results of all samples tested with the two kits

For clinical diagnostic TB cases, the sensitivity of the Trustline kit (61.3 %, 385/628) was significant higher than that of the Aupu kit (53.7 %, 337/628) (p < 0.05) (Table 3).

Table 3.

Detection results from the 1,009 specimens using the two kits

Groups Trustline kit, n (%) Aupu kit, n (%) Total
Positive Negative Positive Negative
TB 385 (61.3) 243 (38.7) 337 (53.7) 291 (46.3) 628
Non-TB 53 (24.2) 166 (75.8) 31 (14.2) 188 (85.8) 219
Healthy controls 24 (14.8) 138 (85.2) 11 (6.8) 151 (93.2) 162
Total 462 547 379 630 1,009

Comparison of the results between the bacteriological methods and the two kits

Among the 628 TB cases diagnosed clinically, of the 89 extrapulmonary TB patients, the sensitivities of the Trustline kit and the Aupu kit were 52.8 % (47/89) and 46.1 % (42/89), respectively, and of the 539 pulmonary TB patients, the sensitivities of smear staining, bacterial culture, the Trustline kit, and the Aupu kit were 41.0 %, 46.0 %, 62.7 %, and 54.9 %, respectively (Table 4). The sensitivities of the Trustline kit and the Aupu kit were significantly higher than that of the bacterial methods (p < 0.05). The sensitivity of the Trustline kit and the Aupu kit for testing sera antibody IgG was 62.2 %. The sensitivity of the Trustline kit was significantly higher than that of the Aupu kit (p < 0.05).

Table 4.

Serum antibodies detection results from the 539 pulmonary tuberculosis (TB) cases using bacteriological methods and the two kits

Bacteriological methods Trustline (IgG and IgM), n (%) Trustline (IgG), n (%) Aupu (IgG), n (%) Total
Positive Negative Positive Negative Positive Negative
Smear staining
Positive 167 (75.6) 54 (24.4) 167 (75.6) 54 (24.4) 145 (65.6) 76 (34.4) 221
Negative 171 (53.8) 147 (46.2) 171 (53.8) 147 (46.2) 151 (47.5) 167 (52.5) 318
Bacterial culture
Positive 190 (76.6) 58 (23.4) 190 (76.6) 58 (23.4) 165 (66.5) 83 (33.5) 248
Negative 148 (50.9) 143 (49.1) 148 (50.9) 143 (49.1) 131 (45.0) 160 (55.0) 291
Total of smear + culture
Positive 239 (77.6) 69 (22.4) 239 (77.6) 69 (22.4) 209 (67.9) 99 (32.1) 308
Negative 99 (42.9) 132 (57.1) 96 (41.6) 135 (58.4) 87 (37.7) 144 (62.3) 231

The χ2 test was used to analyze the IgG antibody positive rate of the two kits compared with smear staining and bacterial culture, respectively, p < 0.05

Comparison of the results from the two kits using bacteriological tests as the “gold standard”

Using the bacteriological test results as the “gold standard” to compare the results of the two kits, the sensitivity, specificity, PPV, NPV, and YI were 77.60 %, 79.8 %, 75.6 %, 81.9 %, and 0.574 by the Trustline kit, and 67.9 %, 88.9 %, 83.3 %, 77.4 %, and 0.568 by the Aupu kit, respectively (Table 5).

Table 5.

Comparison of the detection results by the two kits using the bacteriological test results as the “gold standard” for TB diagnosis

Kits Sensitivity Specificity PPV NPV YI
Trustline kit 77.6 % (239/308) 79.8 % (304/381) 75.6 % (239/316) 81.9 % (304/371) 0.574
Aupu kit 67.9 % (209/308) 88.9 % (339/381) 83.3 % (209/251) 77.4 % (339/438) 0.568
p-Value <0.05 <0.05 >0.05 >0.05

NPV, negative predictive value; PPV, positive predictive value; YI, Youden index

Statistical analysis of the IgG antibody detection results from the two kits

Using the IgG results from the Aupu kit as a reference, the positive coincidence rate of the IgG results from the Trustline kit was 70.8 % (269/380), the negative coincidence rate was 70.4 % (443/629), and the total coincidence was 70.6 % (712/1,009) (Table 6). The equivalence test results gave a Cohen’s κ-value of 0.4, indicating moderate equivalence for IgG antibodies.

Table 6.

Comparison of IgG results detected by the two kits

Trustline kit Total
Aupu kit Positive Negative
Positive 269 111 380
Negative 186 443 629
Total 455 554 1,009

The χ2 test was used to analyze the IgG antibody-positive rate of the Trustline kit with respect to the Aupu kit: χ2 = 18.94, p = 0.000, p < 0.05

Comparison of the IgG/IgM antibody detection results using the Trustline kit at the three hospitals

We compared the serum IgG/IgM antibody results from the Trustline kit from the three hospitals. The sensitivities were 61.8 %, 67.3 %, and 54.3 %; the specificities 61.1 %, 83.7 %, and 87.3 %; PPVs 81.0 %, 86.5 %, and 83.0 %; NPVs 37.4 %, 62.4 %, and 62.1 %; and YIs 0.23, 0.51, and 0.42, respectively, which were all within the acceptable ranges (Table 7).

Table 7.

Comparison of the IgG/IgM antibody detection results using the Trustline kit at the three hospitals

Groups Beijing Geriatric Hospital Cangzhou Infectious Disease Hospital General Hospital of Huabei Oil Field Company Total
Positive Negative Positive Negative Positive Negative Positive Negative
TB 149 92 134 65 102 86 385 243
Controls 35 55 21 108 21 141 77 304
Total 184 147 155 173 123 227 462 547

Control: non-TB + healthy; the χ2 test was used to analyze the IgG/IgM antibody-positive rate tested with the Trustline kit. For the case group, χ2 = 7.02, p = 0.030, p < 0.05, and for the control group, χ2 = 25.99, p = 0.000, p < 0.05

Assessment of the IgM antibody detection results measured by the Trustline kit

The results showed that, of the 381 non-TB samples, 5 cases (1.3 %) were positive, while among the 628 TB samples, 30 cases (4.8 %) were positive. Of these 30 clinically diagnosed patients who were IgM-positive, two had acute hematogenous disseminated TB, 28 cases were secondary to TB, and 26 cases (87 %) were positive for both IgG and IgM (Table 8).

Table 8.

IgM antibody detection results for the 1,009 cases tested using the Trustline kit

Case group Trustline kit Total
Positive Negative
Case group 30 598 628
Control group 5 376 381
Total 35 974 1,009

The χ2 test was used to analyze the IgM antibody-positive rate between the case and control groups, χ2 = 8.50, p = 0.004, p < 0.05

Discussion

Several reviews have provided performance evaluations of serological tests for rapid TB diagnosis [1618]. A comprehensive review was published by Steingart et al. [17], who used a bivariate random effects meta-analysis to prespecify subgroups in order to address heterogeneity. They also summarized test performance by analyzing papers published from January 1, 1990 to June 29, 2010 after searching multiple databases. For anti-TB IgG, the pooled sensitivities were 76 % in smear-positive and 59 % in smear-negative patients, and the pooled specificities were 92 % and 91 %, respectively. Compared with ELISAs (pooled sensitivity, 60 %; pooled specificity, 98 %), immunochromatographic tests yielded lower pooled sensitivity (53 %) and comparable pooled specificity (98 %). In another study, Steingart et al. [18] used culture and clinical diagnosis methods as the reference standards. For pulmonary TB (eight test evaluations), commercial serological tests showed modest performance [diagnostic odds ratio (DOR) = 7.30], with a pooled sensitivity of 88 % and a pooled specificity of 50 %; for extrapulmonary TB (four test evaluations), the pooled sensitivity was less than 50 % and the pooled specificity was 93 %. In our current study using 1,009 specimens, according to the clinical diagnostic results, the pooled sensitivities and specificities of the Trustline kit and the Aupu kit were 61.3 %, 79.8 % and 53.7 %, 88.9 %, respectively (p < 0.05). After further analysis according to the results of smear staining and bacterial culture methods, the pooled sensitivities of the Trustline kit and the Aupu kit were 75.6 %, 65.6 % and 76.6 %, 66.5 %, repectively (Tables 4 and 5).

Analysis of the results of this clinical experiment gave a κ-value of 0.4 for IgG detection, indicating that there was no significant difference in the overall clinical diagnostic performance of the two kits. However, further analysis showed that, using the bacteriological test results as the “gold standard” for TB diagnosis to compare the results of the two kits, both the sensitivity and specificity differed between the two kits (both p < 0.05). The sensitivities of the Trustline kit and the Aupu kit for smear staining and bacterial culture negative were 53.8 %, 50.9 % and 47.5 %, 45.0 % respectively.

China has a high rate of TB infection (up to 44.5 % of the population) [1, 19], but only 5–10 % of those infected exhibit symptoms of active TB, and most of the remaining patients have latent infections [1, 20]. With the increased sensitivity of detection methods, the detection rate of latent infection will be increased, resulting in an increase in the false-positive rate and a decrease in specificity.

In the large number of clinical samples used in this study, the sensitivity of the Trustline kit was significantly better than that of the Aupu kit. In addition, the Trustline kit has the advantages of simple operation and short detection time, and can detect both anti-TB IgG and IgM antibodies simultaneously in human serum or plasma.

In summary, our data demonstrated that the Trustline TB IgG/IgM Rapid Test kit was more sensitive than the Aupu TB Ab (IgG) Colloidal Gold Test kit in the detection of TB antibodies in serum specimens. The Trustline TB IgG/IgM Rapid Test kit could detect both IgG and IgM in one test procedure and should be helpful for improving the detection rate of TB.

Acknowledgments

We thank the staff at the three hospitals in this study (Beijing Geriatric Hospital, General Hospital of Huabei Oil Field Company, and Cangzhou Infectious Disease Hospital) for their valuable contributions to this study. We are grateful to Guizhi Sun, Baocai Yang, and Jinfeng Wang for providing the samples and patient information.

Author contributions

For this study, Cha-Xiang Guan and Kanglin Wan conceived and designed the experiments. Yansen Wang, Bing Lu, Li Wan, Charles Pan Jiao Liu, and Tongyang Xiao collected the clinical samples, including the patients’ information, performed the experiments, and analyzed the data. Cha-Xiang Guan and Kanglin Wan contributed reagents, materials, and analysis tools. Cha-Xiang Guan, Kanglin Wan, Yansen Wang, and Bing Lu wrote the article.

Funding

This work was funded by the National Key Program of Mega Infectious Disease (2013ZX10003006-002-001 and 2013ZX10003002-001), the projects of the National Natural Science Foundation of China (81170059), and the Innovation Fund for the Institution of Higher Education of Hunan Province (11 K077). The funders had no role in the study design, data collection and analysis, manuscript preparation, or decision to publish.

Competing interests

The authors have read the journal’s policy and declare that no competing interests exist. Patient consent for publication was obtained.

Footnotes

Yansen Wang and Bing Lu contributed equally to this paper.

Contributor Information

Y. Wang, Email: 3567556@qq.com

B. Lu, Email: lvbing2001@163.com

J. Liu, Email: 2549109941@qq.com

T. Xiao, Email: 983408379@qq.com

K. Wan, Phone: 0086 10 58900779, Email: wankanglin@icdc.cn

C. Guan, Email: guanchaxiang@csu.edu.cn

References

  • 1.World Health Organization (WHO) Global tuberculosis control 2011: WHO report. Geneva: WHO; 2011. [Google Scholar]
  • 2.Chang J, Arbeláez P, Switz N, et al. Automated tuberculosis diagnosis using fluorescence images from a mobile microscope. Med Image Comput Comput Assist Interv. 2012;15(Pt 3):345–352. doi: 10.1007/978-3-642-33454-2_43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.O’Donnell N, Corcoran D, Lucey B, Barrett A. Molecular-based mycobacterial identification in a clinical laboratory setting: a comparison of two methods. Br J Biomed Sci. 2012;69:164–168. [PubMed] [Google Scholar]
  • 4.Chan ED, Heifets L, Iseman MD. Immunologic diagnosis of tuberculosis: a review. Tuber Lung Dis. 2000;80:131–140. doi: 10.1054/tuld.2000.0243. [DOI] [PubMed] [Google Scholar]
  • 5.Winthrop KL, Nyendak M, Calvet H, et al. Interferon-gamma release assays for diagnosing Mycobacterium tuberculosis infection in renal dialysis patients. Clin J Am Soc Nephrol. 2008;3:1357–1363. doi: 10.2215/CJN.01010208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Lawn SD, Bangani N, Vogt M, et al. Utility of interferon-gamma ELISPOT assay responses in highly tuberculosis-exposed patients with advanced HIV infection in South Africa. BMC Infect Dis. 2007;7:99. doi: 10.1186/1471-2334-7-99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Laboratory-based evaluation of 19 commercially available rapid diagnostic tests for tuberculosis. Diagnostics Evaluation Series No. 2. Special Programme for Research & Training in Tropical Disease (TDR) sponsored by UNICEF/UNDP/World Bank/WHO
  • 8.Chan E, Reves R, Belisle JT, Brennan PJ, Hahn WE. Diagnosis of tuberculosis by a visually detectable immunoassay for lipoarabinomannan. Am J Resp Crit Care Med. 2000;161:1713–1719. doi: 10.1164/ajrccm.161.5.9908125. [DOI] [PubMed] [Google Scholar]
  • 9.Fan CM, Li W, Fan DL, Zheng XY, Ding JZ. A study of double antigen sandwich colloidal gold immunochromatography rapid detection for Mycobacterium tuberculosis antibody. Zhonghua Jie He He Hu Xi Za Zhi. 2011;34:356–358. [PubMed] [Google Scholar]
  • 10.Daniel TM. Immunodiagnosis of tuberculosis. In: Rom WN, Garay S, editors. Tuberculosis. Boston: Little, Brown & Co.; 1996. pp. 223–231. [Google Scholar]
  • 11.Wilkens EGL. The serodiagnosis of tuberculosis. In: Davies PDO, editor. Clinical tuberculosis. London: Chapman & Hall; 1994. pp. 367–379. [Google Scholar]
  • 12.Foulds J, O’Brien R. New tools for the diagnosis of tuberculosis: the perspective of developing countries. Int J Tuberc Lung Dis. 1998;2:778–783. [PubMed] [Google Scholar]
  • 13.Hou D, Wang X, Huang Y. Diagnostic value of gold standard method detecting of serum anti-TB antibody on TB. Chinese Med Factory Mine. 2001;14:413–414. [Google Scholar]
  • 14.Han X, Xu J, Chu Z, et al. Screening acute HIV infections among Chinese men who have sex with men from voluntary counseling & testing centers. PLoS One. 2011;6:e28792. doi: 10.1371/journal.pone.0028792. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Rieder HL, Chonde TM, Myking H; International Union Against Tuberculosis and Lung Disease et al (1998) The Public Health Service National Tuberculosis Reference Laboratory and the National Laboratory Network
  • 16.Dinnes J, Deeks J, Kunst H, et al. A systematic review of rapid diagnostic tests for the detection of tuberculosis infection. Health Technol Assess. 2007;11:1–196. doi: 10.3310/hta11030. [DOI] [PubMed] [Google Scholar]
  • 17.Steingart KR, Flores LL, Dendukuri N, et al. Commercial serological tests for the diagnosis of active pulmonary and extrapulmonary tuberculosis: an updated systematic review and meta-analysis. PLoS Med. 2011;8(8):e1001062. doi: 10.1371/journal.pmed.1001062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Steingart KR, Ramsay A, Dowdy DW, Pai M. Serological tests for the diagnosis of active tuberculosis: relevance for India. Indian J Med Res. 2012;135:695–702. [PMC free article] [PubMed] [Google Scholar]
  • 19.National Technic Steering Group Of The Epidemiological Sampling Survey For Tuberculosis. Duanmu H. Report on fourth national epidemiological sampling survey of tuberculosis. Zhonghua Jie He He Hu Xi Za Zhi. 2002;25:3–7. [PubMed] [Google Scholar]
  • 20.Lin PL, Flynn JL. Understanding latent tuberculosis: a moving target. J Immunol. 2010;185:15–22. doi: 10.4049/jimmunol.0903856. [DOI] [PMC free article] [PubMed] [Google Scholar]

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