Skip to main content
Clinical and Vaccine Immunology : CVI logoLink to Clinical and Vaccine Immunology : CVI
. 2008 Dec 3;16(2):260–276. doi: 10.1128/CVI.00355-08

Performance of Purified Antigens for Serodiagnosis of Pulmonary Tuberculosis: a Meta-Analysis

Karen R Steingart 1,*, Nandini Dendukuri 2, Megan Henry 3,, Ian Schiller 2, Payam Nahid 4, Philip C Hopewell 1,4, Andrew Ramsay 5, Madhukar Pai 2, Suman Laal 6,7,8
PMCID: PMC2643545  PMID: 19052159

Abstract

Serological antibody detection tests for tuberculosis may offer the potential to improve diagnosis. Recent meta-analyses have shown that commercially available tests have variable accuracies and a limited clinical role. We reviewed the immunodiagnostic potential of antigens evaluated in research laboratories (in-house) for the serodiagnosis of pulmonary tuberculosis and conducted a meta-analysis to evaluate the performance of comparable antigens. Selection criteria included the participation of at least 25 pulmonary tuberculosis patients and the use of purified antigens. Studies evaluating 38 kDa, MPT51, malate synthase, culture filtrate protein 10, TbF6, antigen 85B, α-crystallin, 2,3-diacyltrehalose, 2,3,6-triacyltrehalose, 2,3,6,6′-tetraacyltrehalose 2′-sulfate, cord factor, and TbF6 plus DPEP (multiple antigen) were included in the meta-analysis. The results demonstrated that (i) in sputum smear-positive patients, sensitivities significantly ≥50% were provided for recombinant malate synthase (73%; 95% confidence interval [CI], 58 to 85) and TbF6 plus DPEP (75%; 95% CI, 50 to 91); (ii) protein antigens achieved high specificities; (iii) among the lipid antigens, cord factor had the best overall performance (sensitivity, 69% [95% CI, 28 to 94]; specificity, 91% [95% CI, 78 to 97]); (iv) compared with the sensitivities achieved with single antigens (median sensitivity, 53%; range, 2% to 100%), multiple antigens yielded higher sensitivities (median sensitivity, 76%; range, 16% to 96%); (v) in human immunodeficiency virus (HIV)-infected patients who are sputum smear positive, antibodies to several single and multiple antigens were detected; and (vi) data on seroreactivity to antigens in sputum smear-negative or pediatric patients were insufficient. Potential candidate antigens for an antibody detection test for pulmonary tuberculosis in HIV-infected and -uninfected patients have been identified, although no antigen achieves sufficient sensitivity to replace sputum smear microscopy. Combinations of select antigens provide higher sensitivities than single antigens. The use of a case-control design with healthy controls for the majority of studies was a limitation of the review. Efforts are needed to improve the methodological quality of tuberculosis diagnostic studies.


The failure to diagnose tuberculosis (TB) accurately and rapidly is a key challenge in curbing the epidemic (45, 88, 116). Sputum microscopy, currently the sole diagnostic test in most areas where TB is endemic, has several limitations; in particular, the sensitivity compared with that of culture is variable (80, 97, 104, 116), multiple patient visits are required (56, 93, 114), considerable technical training is necessary, and the procedure is labor-intensive (45, 65). Antibody detection tests (serological tests) are used for the diagnosis of many infectious diseases and could potentially improve the means of diagnosis of TB. These tests measure the presence of specific antibodies (most often immunoglobulin G [IgG]) directed against immunodominant antigens of the pathogen in question. Compared with microscopy, antibody detection methods may enable the rapid diagnosis of TB, as these tests have the advantages of speed (results can be available within hours), technological simplicity, and minimal training requirements. In addition, these tests can be adapted to point-of-care formats that can be implemented at lower levels of health services in low- and middle-income countries (21, 22, 57, 65).

Efforts to develop antibody detection tests for the diagnosis of TB have been under way for decades, and the performance of these tests has been well described (13, 17, 22, 32, 40, 47, 48, 52, 60, 64, 100, 107). Several systematic reviews of these tests have been published (discussed below) (28, 94, 95).

First-generation antibody detection tests were based on crude mixtures of constituents and products of Mycobacterium tuberculosis, for example, culture filtrate proteins and purified protein derivative, the preparation used in the tuberculin skin test. Several of these early tests had low specificities, as the tests contained antigens shared among different bacterial species (1, 22, 48, 57). During the past two decades, an increased understanding of humoral immune responses to M. tuberculosis and the new tools of genomics and proteomics have led to the discovery of new antigens reported to provide improved sensitivities and specificities for the diagnosis of TB compared with those achieved with the antigens in the first-generation tests (48).

We reviewed the immunodiagnostic potential of different antigens evaluated in research laboratories (in-house) for the serodiagnosis of pulmonary TB and carried out a meta-analysis to evaluate the performance of various antigens singly and in combination. Previous meta-analyses have shown that commercially available serological tests for both pulmonary TB (94) and extrapulmonary TB (95) have variable accuracies and, consequently, a limited clinical role. Another systematic review (searches through 2003) limited studies to the cohort or case series type of design and included only nine studies relating to in-house anti-TB antibody serological tests (28). A recently published expert review (1) did not include a meta-analysis. We are unaware of other systematic reviews on this topic.

The current review addresses the following questions. (i) What is the performance of different antigens in the serodiagnosis of pulmonary TB in sputum smear-positive and smear-negative patients? (ii) What is the performance of these antigens in the serodiagnosis of pulmonary TB in patients with human immunodeficiency virus (HIV) infection?

MATERIALS AND METHODS

Standard guidelines and methods for systematic reviews and meta-analyses of diagnostic tests were followed (25, 31, 61). The following electronic databases (1990 to November 7, 2007) were queried for primary studies in the English language: PubMed, EMBASE, Biosis, and Web of Science. The search terms included “tuberculosis,” “Mycobacterium tuberculosis,” “immunological tests,” “serological tests,” “antibody detection,” “antigen detection,” “ELISA” (enzyme-linked immunosorbent assay), “Western blot,” and “sensitivity and specificity.” Additional studies were identified by contacting experts and searching the reference lists of primary studies and review articles.

The criteria for including studies for the review were as follows. Cross-sectional and case-control study designs were eligible. The sample size had to be at least 25 patients with sputum smear-positive or smear-negative pulmonary TB who provided sera before or within 14 days of receiving antituberculous treatment. For comparison with TB patients, we selected only one group for each study, preferentially, patients in whom pulmonary TB was initially suspected but was later ruled out, as opposed to healthy participants. The index test (serological antibody detection) had to be evaluated in-house with purified antigens; studies that used purified protein derivative, culture filtrates, or sonicated antigens were not included. The reference standard was either the isolation of M. tuberculosis on sputum culture or, for studies conducted in countries where TB is endemic (≥20 cases per 100,000 population in 2005) where cultures are not routinely performed, the presence of acid-fast bacilli detected by sputum smear microscopy (16, 115). For the determination of outcome measures, there had to be sufficient data to construct a two-by-two table for calculations of sensitivity, specificity, and likelihood ratios.

The following studies were excluded: (i) studies whose results were published before 1990, for the reason that many studies used crude antigen extracts or obsolete methods; (ii) studies of latent M. tuberculosis infection; (iii) studies of nontuberculous mycobacteria; (iv) studies describing nonimmunologic methods for the detection of antibodies; (v) studies in the basic science literature concerning cloning of new antigens or their immunologic properties (e.g., epitope mapping); and (vi) case reports and reviews.

Study selection.

Initially, two reviewers independently screened citations retrieved from all sources for relevance. Screening of full-text articles by using prespecified inclusion criteria was carried out by two reviewers, and the articles included were checked by a third reviewer. Disagreements were resolved by consensus.

Data extraction.

A data extraction form was created and pilot tested with a subset of eligible studies and then finalized. Two reviewers (each of whom was responsible for approximately 50% of the studies) extracted data from all included studies with the standardized form. To verify reproducibility, a third reviewer independently performed data extraction on all studies. Differences among reviewers were resolved by consensus. When necessary, authors were contacted for additional information.

Assessment of study quality.

The quality of studies was appraised by using a subset of criteria from QUADAS, a validated tool for diagnostic studies (see Table S1 in the supplemental material) (110).

Antigen classification.

Antigens were classified into five categories according to the type of compound: (i) recombinant proteins, (ii) native proteins, (iii) lipids, (iv) multiple antigens (protein-protein or lipid-lipid additive reactivity), and (v) protein-lipid antigens. Several investigators evaluated antibody responses to multiple antigens in the same patient population to enhance sensitivity. These studies have taken two approaches. In some cases, different antigens (or portions thereof) have been cloned as single protein entities (polyproteins) and tested for their reactivities with sera. In other cases, multiple antigens have been tested as single entities and cumulative results (additive reactivity) were calculated. In the former case, we considered polyproteins to be single antigens; in the latter case, we classified the entities as multiple antigens.

Data analysis.

Estimates of sensitivity and specificity from individual studies and their exact 95% confidence intervals (CIs) were obtained by using Meta-DiSc (version 1.4) software (117). Sensitivity refers to the proportion of TB patients with positive test results; specificity refers to the proportion of participants without TB with negative test results. For sensitivity, we included studies that used sputum smear as the reference standard along with studies that used culture. For specificity, we noted the type of comparison group, e.g., healthy participants or patients with nontuberculous respiratory disease. Likelihood ratio positive was calculated as sensitivity/(1 − specificity); likelihood ratio negative was calculated as (1 − sensitivity)/specificity.

Selection of subgroups for meta-analysis.

We recognized that studies were heterogeneous in many respects, particularly concerning antigen characteristics and antibody class. Therefore, in order to address heterogeneity and combine study results, subgroups of comparable antigens were determined (Fig. 1). Initially, studies were grouped by the class of antibody detected by the test: (i) IgG and/or IgA, (ii) IgM, and (iii) other IgM-containing combinations (IgM-IgG, IgM-IgA, and IgM-IgG-IgA). This division was based on the understanding that IgM antibodies are expressed transiently and earlier in infection than other antibodies. Next, studies were stratified by antigen number (single or multiple antigens); the type of compound (protein or lipid); and, for proteins, the source of the compound (recombinant or native). Finally, for each distinct single antigen or multiple-antigen combination, studies were stratified by patient sputum smear status and HIV status. At least four studies were required to be available for inclusion in a subgroup in order to strengthen the results and reduce the possibility of finding a significant result by chance. In this way, we identified 16 subgroups.

FIG. 1.

FIG. 1.

Flow diagram for selection of subgroups, IgG and/or IgA antibody detection: an example with MPT51. The same sequence of steps was repeated for each antigen. Having at least four studies available was a condition for inclusion in the meta-analysis. *, other antibody combinations included IgG and IgM (n = 3 studies); IgM and IgA (n = 0); IgG, IgA, and IgM (n = 7); and not reported (n = 10); **, other recombinant antigens included 38 kDa (n = 13 studies), CFP-10 (n = 9), malate synthase (n = 8), TbF6 (n = 4), α-cystallin (n = 4), Mtb48 (n = 3), Ag85C (n = 2), DPEP (n = 2), ESAT6 (n = 2), and other antigens (n = 16) that appeared in only one study each.

To summarize sensitivity and specificity within each subgroup, separate meta-analyses were performed by using the hierarchical summary receiver operating characteristic curve model (72). The advantages of the hierarchical summary receiver operating characteristic are that it jointly models both sensitivity and specificity, weights studies according to the number of participants, and takes into account unmeasured heterogeneity between studies by using random effects (31). The model was estimated by using a Bayesian approach with noninformative prior distributions and was implemented with WinBUGS (version 1.4.1) software program (91).

The average sensitivity, specificity, and likelihood ratios from each meta-analysis were estimated. From the posterior distribution of each parameter of interest, we extracted the mean and the 95% credible interval (the Bayesian equivalent of the classical confidence interval) on the basis of the 2.5% and 97.5% quartiles. When feasible, specificity estimates were stratified by type of comparison group. Finally, a summary receiver operating characteristic (SROC) curve from each meta-analysis was obtained. The SROC curve plots sensitivity versus 1 − specificity for the range of specificity values observed for each study, as extrapolation beyond this range is not advisable (42). The SROC curve gives an idea of the overall performance of a test across different thresholds (54, 61). The closer that the curve is to the upper-left-hand corner of the plot (sensitivity and specificity are both 100%), the better the performance of the test is (42). The plots were made by using the R (version 2.6.1) software program (70).

Descriptive analysis.

Descriptive analyses were performed by using SPSS (version 14.0.1.366) software (92). Forest plots were made by using Meta-DiSc (version 1.4) software (117).

RESULTS

Description of studies included.

The literature searches identified over 5,000 citations, of which 49 publications (254 studies) were included (Fig. 2) (2-4, 6, 8, 10, 12, 15, 18-20, 23, 24, 26, 27, 29, 33-37, 39, 43, 44, 55, 58, 59, 66-69, 73, 76, 77, 81-87, 99, 101-103, 105, 108, 109, 118). Mycobacterial culture was used as the reference standard in 199 (78%) studies, sputum smear was used as the reference standard in 29 (11%) studies, and sputum smear and/or culture was used as the reference standard in 26 (10%) studies. Two hundred thirteen (84%) studies involved smear-positive patients, and 41 (16%) involved culture-confirmed smear-negative patients. Four studies involved children younger than 15 years of age, and 30 (12%) studies involved HIV-infected persons. The vast majority (96%) of studies performed antibody tests by ELISA. The median number of participants with TB was 51 (interquartile range, 39 to 105); the median number of participants without TB was 57 (interquartile range, 35 to 83).

FIG. 2.

FIG. 2.

Flow of studies through the review process. PTB, pulmonary tuberculosis.

Two hundred fifty-four studies evaluating 51 distinct single antigens (9 native proteins, 27 recombinant proteins, and 15 lipids) and 30 distinct multiple-antigen combinations were identified. Many of these antigens were evaluated in only one study. In order to accommodate the large number of antigens identified in the review, only those antigens appearing in two or more studies are included in Tables S2 though S6 in the supplemental material. A guide to the tables and figures is presented in Table 1. The antigens and their alternative names are listed in Table 2. The most frequently evaluated antigens are described below and in additional tables and figures, as noted.

TABLE 1.

Guide to tables and figures in the review

Category or antigen Table or Figure
Antigen names Table 2
Characteristics of study quality Table 3
Meta-analysis Table 4
Recombinant malate synthase Table 5
Recombinant CFP-10 Table 6
DAT Table 7
Specificity estimates by control group Table 8
Antigen performance by Ig class Table 9
Recombinant 38 kDa Table A1
Recombinant MPT51 Table A2
Native 38 kDa Table A3
Native Ag85B Table A4
Questions for quality assessment Table S1
Recombinant protein antigens Table S2
Native protein antigens Table S3
Lipid antigens Table S4
Multiple antigens Table S5
Protein/lipid antigens Table S6
Flow diagram for selection of subgroups Figure 1
Flow of studies in the review Figure 2
SROC curve for recombinant proteins Figure 3A
SROC curve for native proteins Figure 3B
SROC curve for lipid antigens Figure 3C
Sensitivity, TB-HIV coinfection Figure 4A
Specificity, TB-HIV coinfection Figure 4B

TABLE 2.

Antigens evaluated for serodiagnosis of pulmonary TB

Name(s) of antigen(s)a Protein Rv designation Reference(s)
Ag85C, 32.5 kDa, FbpC2, MPT-45 0129c 76, 77
38 kDa, Ag 5, PstS1, PhoS, PhoS1 0934 3, 8, 15, 18, 20, 27, 33, 35, 37, 55, 59, 69, 76, 77, 81, 102
Mtb 81/88 kDa, malate synthase, GlcB 1837c 20, 35, 37, 76, 85, 86, 108
DPEP, MPT32; 45/47 kDa, Apa, ModD 1860 19, 26, 76
Ag85B 1886c 23, 67, 77, 103
16 kDa; α-crystallin; 14 kDa, HspX, Acr 2031c 33, 39, 66, 103
27 kDa; MPT51, FbpC1, MPB 51 3803c 10, 69, 85, 108
CFP-10, MTSA-10, EsxB; Lhp, Mtb11 3874 27, 33, 59, 118
ESAT-6 3875 33, 118
Mtb48 3881c 55
DAT 43, 44, 83, 105
TAT 43, 44
SL-I, sulfolipid I 43, 44
Cord factor 43, 44, 101
a

Boldface indicates the name of the antigen in common use.

Assessment of study quality.

The majority of studies used a case-control study design. Only 65 (26%) studies reported blinded interpretation of index test results. Almost all studies provided sufficient detail describing the execution of the index test (Table 3).

TABLE 3.

Characteristics of study quality

Characteristic No. (%) of studies
Study design
    Cross-sectional 39 (15)
    Case-control 208 (82)
    Nested within observational study 7 (3)
Recruitment of participants
    Consecutive or random 20 (8)
    Convenience or not reported 234 (92)
Selection criteria clearly described 141 (56)
Complete verification by use of the reference standard 107 (42)
Execution of test described in sufficient detail 253 (100)a
Index test results blinded to reference standard?
    Yes 65 (26)
    No 1 (0)
    Not reported 188 (74)
a

The description of the test execution was deemed insufficient in one study.

Meta-analysis (Table 4 and Fig. 3). (i) Recombinant proteins. (a) Recombinant 38 kDa (Rv0934) (Table A1).

TABLE 4.

Overall sensitivities, specificities, and likelihood ratios for antigens evaluated for serodiagnosis of pulmonary TB with assays detecting IgG and/or IgA antibodies

Type of compound Antigen name Rv designation No. of studies Smear status HIV status Sensitivity (%)a Specificity (%)a Likelihood ratio positivea Likelihood ratio negativea
Recombinant 38 kDa 0934 12 Positive +/− 47 (39-55) 94 (86-98) 8.22 (3.41-24.85) 0.56 (0.48-0.65)
Malate synthase 1837c 8 Positive +/− 73 (58-85) 98 (95-100) 40.78 (14.43-155.7) 0.27 (0.16-0.42)
MPT51 3803c 5 Positive 59 (38-76) 94 (77-99) 10.50 (2.70-69.69) 0.44 (0.26-0.67)
MPT51 3803c 4 Positive + 58 (30-82) 97 (84-100) 19.03 (3.73-172.3) 0.44 (0.19-0.73)
CFP-10 3874 6 Positive +/− 48 (29-68) 96 (83-99) 12.11 (3.20-64.63) 0.55 (0.35-0.73)
TbF6b 4 Positive 70 (37-90) 93 (69-99) 9.61 (2.23-53.99) 0.33 (0.13-0.66)
TbF6, DPEPc 4 Positive 75 (50-91) 95 (86-99) 14.97 (5.43-56.66) 0.26 (0.10-0.53)
Native protein 38 kDa 0934 13 Positive +/− 49 (37-61) 97 (94-99) 15.73 (8.84-31.55) 0.53 (0.41-0.65)
38 kDa 0934 7 Negative 31 (15-52) 97 (92-99) 9.13 (3.88-24.05) 0.72 (0.51-0.87)
Ag 85B 1886c 4 Positive 53 (20-83) 95 (78-99) 9.36 (2.52-53.81) 0.51 (0.20-0.84)
Ag 85B 1886c 4 Positive + 62 (19-92) 97 (89-99) 17.83 (4.04-62.32) 0.39 (0.08-0.84)
α-Crystallin 2031c 6 Positive +/− 54 (32-75) 96 (83-99) 13.23 (3.52-66.61) 0.48 (0.28-0.71)
Lipid DAT 7 Positive +/− 63 (45-78) 81 (50-96) 3.32 (1.32-13.35) 0.47 (0.30-0.74)
TAT 4 Positive +/− 81 (21-99) 44 (24-67) 1.44 (0.42-2.31) 0.42 (0.03-1.71)
SL-I 4 Positive +/− 80 (56-93) 59 (8-96) 1.94 (0.89-20.90) 0.34 (0.14-2.22)
Cord factor 5 Positive +/− 69 (28-94) 91 (78-97) 7.03 (2.44-20.65) 0.35 (0.06-0.80)
a

The data represent the posterior means (95% credible intervals).

b

Polyprotein.

c

Multiple antigen (additive reactivity).

FIG. 3.

FIG. 3.

SROC curves of antigen performance for serodiagnosis of pulmonary TB. (A) Recombinant proteins; (B) native proteins; (C) lipids.

TABLE A1.

Studies evaluating recombinant 38 kDa (Rv0934) for serodiagnosis of pulmonary TB

Author, yr (reference) Study design Reference standard (smear statusa) Patient (comparison) country Status of individuals used for comparison HIV status of patient (comparator) Ig class No. of participantsb Sensitivity (%)c Specificity (%)c
Amicosante et al., 1995 (3) Case-control Culture (SP) Italy and United States (Italy and United States) Healthy NR (NRd) IgM 41/30 54 (37-69) 100 (88-100)
Amicosante et al., 1995 (3) Case-control Culture (SN) Italy and United States (Italy and United States) Healthy NR (NR) IgM 29/30 55 (36-74) 100 (88-100)
Ben Amor et al., 2005 (8) Case-control Smear (SP) Mexico (Mexico) Nontuberculous respiratory disease − (−) IgG 50/48 56 (41-70) 96 (86-100)
Chaudhary et al., 2005 (20) Case-control Smear (SP) India (India) Healthy NR (NR) IgG, IgM 44/105 36 (22-52) 99 (95-100)
Dillon et al., 2000 (27) Case-control Culture and/or smear (SP) Brazil (United States and areas of endemicity) Healthy − (−) IgG 250/57 49 (43-55) 91 (81-97)
Greenaway et al., 2005 (33) Nested within observational study Culture (SP) Gambia (Gambia) Healthy + and − (+ and −) IgG 100/100 49 (39-59) 50 (40-60)
Hendrickson et al., 2000 (35) Case-control Culture (SP) South Africa and Uganda (China) Nontuberculous respiratory disease − (NR) IgG 52/31 46 (32-61) 97 (83-100)
Hendrickson et al., 2000 (35) Case-control Culture (SP) South Africa and Uganda (China) Nontuberculous respiratory disease + (NR) IgG 25/31 68 (47-85) 97 (83-100)
Houghton et al., 2002 (37) Case-control Culture and/or smear (SP) Brazil (United States and areas of endemicity) Healthy − (NR) IgG 105/57 57 (47-67) 91 (81-97)
Houghton et al., 2002 (37) Case-control Culture and/or smear (SP) Philippines (United States and areas of endemicity) Healthy + (NR) IgG 40/57 35 (21-52) 91 (81-97)
Houghton et al., 2002 (37) Case-control Culture and/or smear (SP) Sub-Saharan Africa (United States and areas of endemicity) Healthy − (NR) IgG 66/57 41 (29-54) 91 (81-97)
Lodes et al., 2001 (55) Case-control Culture and/or smear (SP) Brazil (China) Nontuberculous respiratory disease − (−) IgG 248/31 48 (42-55) 97 (83-100)
Lodes et al., 2001 (55) Case-control Culture and/or smear (SP) South Africa (China) Nontuberculous respiratory disease − (−) IgG 51/31 29 (18-44) 97 (83-100)
Lodes et al., 2001 (55) Case-control Culture and/or smear (SP) Philippines (China) Nontuberculous respiratory disease − (−) IgG 31/31 36 (19-55) 97 (83-100)
Senthil Kumar et al., 2002 (77) Case-control Culture (SP) India (India) Healthy NR (NR) IgG 25/25 60 (39-79) 100 (86-100)
Silva et al., 2003 (81) Cross-sectional Culture (SN) Canada (Canada) Healthy NR (NR) IgG 33/54 39 (23-58) 89 (77-96)
a

SP, smear positive; SN, smear negative.

b

Number of participants with TB/number of participants without TB.

c

95% CIs are given in parentheses.

d

NR, not reported.

38 kDa, a major protein present in culture filtrates of M. tuberculosis, has been studied extensively (1, 17, 22). Several studies have shown an association between the presence of anti-38 kDa antibodies and advanced cavitary TB (14, 22, 75). In smear-positive patients, recombinant 38 kDa yielded a sensitivity of 47% (95% CI, 39 to 55) and a specificity of 94% (95% CI, 86 to 98) (8, 27, 33, 35, 37, 55, 77, 81).

(b) Recombinant malate synthase (Rv1837c) (Table 5).

TABLE 5.

Studies evaluating recombinant malate synthase (Rv1837c) for serodiagnosis of pulmonary TB

Author, yr (reference) Study design Reference standard (smear statusa) Patient (comparison) country Status of individuals used for comparison HIV status of patient (comparator) Ig class No. of participantsb Sensitivity (%)c Specificity (%)c
Chaudhary et al., 2005 (20) Case-control Smear (SP) India (India) Healthy NRd (NR) IgG, IgM 44/105 32 (19-48) 99 (93-100)
Hendrickson et al., 2000 (35) Case-control Culture (SP) South Africa and Uganda (China) Nontuberculous respiratory disease − (NR) IgG 52/31 60 (45-73) 97 (83-100)
Hendrickson et al., 2000 (35) Case-control Culture (SP) South Africa and Uganda (China) Nontuberculous respiratory disease + (NR) IgG 25/31 92 (74-98) 97 (83-100)
Houghton et al., 2002 (37) Case-control Culture and/or smear (SP) Sub-Saharan Africa (China) Nontuberculous respiratory disease + (NR) IgG 59/31 78 (65-88) 97 (83-100)
Houghton et al., 2002 (37) Case-control Culture and/or smear (SP) Sub-Saharan Africa (China) Nontuberculous respiratory disease − (NR) IgG 66/31 58 (45-70) 97 (83-100)
Singh et al., 2003 (86) Case-control Smear (SP) India (area of endemicity) Healthy − (NR) IgG 43/25 77 (61-88) 100 (86-100)
Singh et al. 2005 (85) Case-control Smear (SP) India (area of endemicity) Healthy − (NR) IgG, IgA 40/29 75 (67-82) 100 (91-100)
Wanchu et al., 2008 (108) Case-control Smear (SP) India (India) Healthy − (−) IgG, IgA 138/38 73 (52-88) 100 (91-100)
Wanchu et al., 2008 (108) Case-control Smear (SP) India (United States) Healthy + (+) IgG, IgA 26/65 73 (52-88) 99 (92-100)
a

SP, smear positive.

b

Number of participants with TB/number of participants without TB.

c

95% CIs are given in parentheses.

d

NR, not reported.

Malate synthase (81 kDa), present in M. tuberculosis culture filtrates, the cell wall, and cytoplasmic subcellular fractions, is an enzyme of the glyoxylate pathway used by M. tuberculosis during intracellular replication in macrophages (90) and has adapted to function as an adhesin that enhances bacterial adherence to host cells (46). In sputum smear-positive patients, malate synthase achieved a sensitivity of 73% (95% CI, 58 to 85) and a specificity of 98% (95% CI, 95 to 100) (35, 37, 85, 86, 108). The likelihood ratio positive (40.78) was considerably higher for malate synthase than for other antigens. Earlier studies have demonstrated that whereas antibodies to the 38-kDa antigen are present in patients with extensive cavitary lesions, anti-malate synthase antibodies are elicited earlier during the progression of TB, being present in patients who have not yet developed cavities (74). This is reflected in the higher sensitivity of TB diagnosis provided by malate synthase.

(c) Recombinant MPT51 (Rv3803c) (Table A2).

TABLE A2.

Studies evaluating recombinant MPT51 (Rv3803c) for serodiagnosis of pulmonary TB

Author, yr (reference) Study design Reference standard (smear statusa) Patient (comparison) country Status of individuals used for comparison HIV status of patient (comparator) Ig class No. of participantsb Sensitivity (%)c Specificity (%)c
Bethunaickan et al., 2007 (10)d Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (NRe) IgG 175/60 57 (50-65) 93 (84-98)
Bethunaickan et al., 2007 (10)d Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (NR) IgA 175/60 47 (39-55) 92 (82-97)
Bethunaickan et al., 2007 (10)d Case-control Culture (SP) India (India) Healthy − (NR) IgM 175/150 13 (8-18) 98 (94-100)
Bethunaickan et al., 2007 (10)d Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (NR) IgG, IgA 175/60 71 (64-78) 87 (75-94)
Bethunaickan et al., 2007 (10)d Case-control Culture (SP) India (India) Healthy − (NR) IgG, IgM, IgA 175/150 72 (65-79) 93 (87-96)
Ramalingam et al., 2003 (69)d Case-control Culture (SP) India (India) Mixed disease and asymptomatic + (+) IgG 55/45 55 (41-68) 100 (92-100)
Ramalingam et al., 2003 (69)d Case-control Culture (SP) India (India) Mixed disease and asymptomatic + (+) IgA 55/45 40 (27-54) 93 (82-99)
Ramalingam et al., 2003 (69)d Case-control Culture (SP) India (India) Mixed disease and asymptomatic + (+) IgM 55/45 6 (1-15) 100 (92-100)
Ramalingam et al., 2003 (69)d Case-control Culture (SP) India (India) Mixed disease and asymptomatic + (+) IgG, IgA 55/45 69 (55-81) 93 (82-99)
Ramalingam et al., 2003 (69)d Case-control Culture (SP) India (India) Mixed disease and asymptomatic + (+) IgG, IgM, IgA 55/45 71 (57-82) 93 (82-99)
Singh et al., 2005 (85) Case-control Smear (SP) India (Endemic) Healthy − (NR) IgG, IgA 40/29 60 (43-75) 100 (88-100)
Wanchu et al., 2008 (108) Case-control Smear (SP) India (India) Healthy − (NR) IgG, IgA 138/38 59 (51-68) 97 (86-100)
Wanchu et al., 2008 (108) Case-control Smear (SP) India (United States) Healthy + (+) IgG, IgA 26/65 69 (48-86) 99 (92-100)
Bethunaickan et al., 2007 (10)d Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (NR) IgG 41/60 34 (21-51) 93 (84-98)
Bethunaickan et al., 2007 (10)d Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (NR) IgA 41/60 29 (16-46) 92 (82-97)
Bethunaickan et al., 2007 (10)d Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (NR) IgG, IgA 41/60 46 (31-63) 87 (75-94)
a

SP, smear positive; SN, smear negative.

b

Number of participants with TB/number of participants without TB.

c

95% CIs are given in parentheses.

d

Index test blinded to reference standard.

e

NR, not reported.

The 27-kDa protein MPT51, a culture filtrate protein, is closely related to the antigen 85 (Ag85) complex, which comprises Ag85A, Ag85B, and Ag85C. MPT51 is an adhesin (108) reported to be a fibronectin-binding protein of M. tuberculosis (113). A sufficient number of studies evaluating the performance of MPT51 were available to stratify the results by HIV infection status. In sputum smear-positive patients, MPT51 provided equivalent sensitivities in both HIV-negative TB patients (59%; 95% CI, 38 to 76) and HIV-positive TB patients (58%; 95% CI, 30 to 82); the specificities were 94% and 97%, respectively (10, 69, 85, 108).

(d) Recombinant CFP-10 (Rv3874) (Table 6).

TABLE 6.

Studies evaluating recombinant CFP-10 (Rv3874) for serodiagnosis of pulmonary TB

Author, yr (reference) Study design Reference standard (smear statusa) Patient (comparison) country Status of individuals used for comparison HIV status of patient (comparator) Ig class No. of participantsb Sensitivity (%)c Specificity (%)c
Dillon et al., 2000 (27) Case-control Culture and/or smear (SP) Brazil (United States and areas of endemicity) Healthy − (−) IgG 250/57 28 (22-34) 97 (88-100)
Greenaway et al., 2005 (33) Nested within observational study Culture (SP) Gambia (Gambia) Healthy + and − (+ and −) IgG 100/100 63 (53-72) 55 (45-65)
Murthy et al., 2007 (59) Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (−) IgG 262/76 42 (36-49) 99 (93-100)
Murthy et al., 2007 (59) Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (−) IgA 262/76 25 (20-31) 99 (93-100)
Murthy et al., 2007 (59) Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (−) IgG, IgA 262/76 57 (51-63) 97 (91-100)
Zhang et al., 2007 (118) Case-control Smear (SP) China (China) Healthy − (−) IgG 50/28 78 (64-89) 96 (82-100)
Murthy et al., 2007 (59) Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (−) IgG 60/76 10 (4-21) 99 (93-100)
Murthy et al., 2007 (59) Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (−) IgA 60/76 43 (31-57) 99 (93-100)
Murthy et al., 2007 (59) Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (−) IgG, IgA 60/76 50 (37-63) 97 (91-100)
a

SP, smear positive; SN, smear negative.

b

Number of participants with TB/number of participants without TB.

c

95% CIs are given in parentheses.

Culture filtrate protein 10 (CFP-10), a culture filtrate and cell wall protein, has been identified as one of the earliest proteins expressed by M. tuberculosis during culture in bacteriological media (9). In sputum smear-positive patients, CFP-10 provided a sensitivity of 48% (95% CI, 29 to 68) and a specificity of 96% (95% CI, 83 to 99) (27, 33, 59, 118).

(e) Recombinant TbF6 (see Table S2 in the supplemental material).

TbF6 is a single antigen combining four distinct antigens (CFP-10, MTB8, MTB48, and 38 kDa) as a genetically fused polyprotein (37). In sputum-smear positive patients, TbF6 achieved a sensitivity of 70% (95% CI, 37 to 90) and a specificity of 93% (95% CI, 69 to 99) (6, 37). The high sensitivity obtained with TbF6 is likely due to the fact that it comprises immunogenic domains from multiple antigens.

(ii) Native proteins. (a) Native 38 kDa (Rv0934) (Table A3).

TABLE A3.

Studies evaluating native 38 kDa (Rv0934) for serodiagnosis of pulmonary TB

Author, yr (reference) Study design Reference standard (smear statusa) Patient (comparison) country Status of individuals used for comparison HIV status of patient (comparator) Ig class No. of participantsc Sensitivity (%)d Specificity (%)e
Bothamley and Rudd, 1994 (15)b Cross-sectional Culture (SP) United Kingdom (United Kingdom) Nontuberculous respiratory disease − (−) IgG 25/82 72 (51-88) 96 (90-99)
Bothamley and Rudd, 1994 (15)b Cross-sectional Culture (SN) United Kingdom (United Kingdom) Nontuberculous respiratory disease − (−) IgG 27/82 56 (35-75) 96 (90-99)
Chan et al., 1990 (18) Case-control Culture (SP) Hong Kong (Hong Kong) Healthy NRd (NR) IgG 88/140 45 (35-56) 98 (94-100)
Chan et al., 1990 (18) Case-control Culture (SN) Hong Kong (Hong Kong) Healthy NR (NR) IgG 37/140 16 (6-32) 98 (94-100)
Murthy et al., 2007 (59) Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (−) IgG 262/76 48 (42-54) 100 (95-100)
Murthy et al., 2007 (59) Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (−) IgA 262/76 23 (18-28) 96 (89-99)
Murthy et al., 2007 (59) Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (−) IgG, IgA 262/76 62 (56-68) 96 (89-99)
Murthy et al., 2007 (59) Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (−) IgG 60/76 25 (15-38) 100 (95-100)
Murthy et al., 2007 (59) Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (−) IgA 60/76 22 (12-34) 96 (89-99)
Murthy et al., 2007 (59) Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (−) IgG,/A 60/76 43 (31-57) 96 (89-99)
Ramalingam et al., 2003 (69)b Case-control Culture (SP) India (India) Mixed disease and asymptomatic + (+) IgG 55/45 40 (27-54) 100 (92-100)
Ramalingam et al., 2003 (69)b Case-control Culture (SP) India (India) Mixed disease and asymptomatic + (+) IgA 55/45 40 (27-54) 93 (82-99)
Ramalingam et al., 2003 (69)b Case-control Culture (SP) India (India) Mixed disease and asymptomatic + (+) IgM 55/45 5 (1-15) 100 (92-100)
Ramalingam et al., 2003 (69)b Case-control Culture (SP) India (India) Mixed disease and asymptomatic + (+) IgG, IgA 55/45 60 (46-73) 93 (82-99)
Ramalingam et al., 2003 (69)b Case-control Culture (SP) India (India) Mixed disease and asymptomatic + (+) IgG, IgM, IgA 55/45 62 (48-75) 93 (82-99)
Samanich et al., 2000 (76) Case-control Culture (SP) United States (United States) Healthy − (+ and −) IgG 42/83 38 (24-54) 100 (96-100)
Senthil Kumar et al., 2002 (77) Case-control Culture (SP) India (India) Healthy NR (NR) IgG 25/25 52 (31-72) 100 (86-100)
Uma Devi et al., 2001 (102) Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (−) IgG 175/60 61 (53-68) 87 (75-94)
Uma Devi et al., 2001 (102) Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (−) IgA 175/60 30 (23-37) 97 (88-100)
Uma Devi et al., 2001 (102) Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (−) IgM 175/60 10 (6-16) 97 (88-100)
Uma Devi et al., 2001 (102) Case-control Culture (SP) India (India) Healthy − (−) IgG, IgA 175/60 68 (61-75) 96 (91-99)
Uma Devi et al., 2001 (102) Case-control Culture (SP) India (India) Healthy − (−) IgG, IgM, IgA 175/60 71 (64-78) 90 (84-94)
Uma Devi et al., 2001 (102) Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (−) IgG 41/60 54 (37-69) 87 (75-94)
Uma Devi et al., 2001 (102) Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (−) IgA 41/60 15 (6-29) 97 (88-100)
Uma Devi et al., 2001 (102) Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (−) IgM 41/60 5 (1-17) 97 (88-100)
a

SP, smear positive; SN, smear negative.

b

Index test blinded to reference standard.

c

Number of participants with TB/number of participants without TB.

d

95% CIs are given in parentheses.

e

NR, not reported.

In sputum smear-positive patients, native 38 kDa provided a sensitivity of 49% (95% CI, 37 to 61). In sputum smear-negative patients, the sensitivity reported was lower (31%; 95% CI, 15 to 52). Specificities were 97% in both subgroups (15, 18, 59, 69, 76, 77, 102).

(b) Native Ag85B (Rv1886c) (Table A4).

TABLE A4.

Studies evaluating native Ag85B (Rv1886c) for serodiagnosis of pulmonary TB

Author, yr (reference) Study design Reference standard (smear statusa) Patient (comparison) country Status of individuals used for comparison HIV status of patient (comparator) Ig class No. of participantsc Sensitivity (%)d Specificity (%)e
Daniel et al., 1994 (23)b Cross-sectional Culture (SP) Uganda (Uganda) Nontuberculous respiratory disease − (+ and −) IgG 68/35 62 (49-73) 89 (73-97)
Daniel et al., 1994 (23)b Cross-sectional Culture (SP) Uganda (Uganda) Nontuberculous respiratory disease + (+ and −) IgG 141/35 28 (21-36) 89 (73-97)
Raja et al., 2004 (67)b Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (−) IgG 175/60 67 (60-74) 80 (68-89)
Raja et al., 2004 (67)b Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (−) IgA 175/60 15 (10-21) 100 (94-100)
Raja et al., 2004 (67)b Case-control Culture (SP) India (India) Nontuberculous respiratory disease − (−) IgM 175/60 14 (10-20) 93 (84-98)
Raja et al., 2004 (67)b Case-control Culture (SP) India (India) Healthy − (−) IgG, IgA 175/150 71 (64-78) 97 (92-99)
Raja et al., 2004 (67)b Case-control Culture (SP) India (India) Healthy − (−) IgG, IgM, IgA 175/150 73 (66-80) 92 (86-96)
Senthil Kumar et al., 2002 (77) Case-control Culture (SP) India (India) Healthy NRd (NR) IgG 25/25 40 (21-61) 96 (80-100)
Senthil Kumar et al., 2002 (77) Case-control Culture (SP) India (India) Healthy NR (NR) IgG 25/25 60 (39-79) 100 (86-100)
Uma Devi et al., 2003 (103)b Case-control Culture (SP) India (India) Healthy + (−) IgG 55/150 67 (53-79) 99 (95-100)
Uma Devi et al., 2003 (103)b Case-control Culture (SP) India (India) Healthy + (−) IgA 55/150 67 (53-79) 97 (92-99)
Uma Devi et al., 2003 (103)b Case-control Culture (SP) India (India) Healthy + (−) IgM 55/150 4 (0-13) 96 (92-99)
Uma Devi et al., 2003 (103)b Case-control Culture (SP) India (India) Healthy + (−) IgG, IgA 55/150 84 (71-92) 97 (92-99)
Raja et al., et al., 2004 (67)b Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (−) IgG 41/60 44 (29-60) 80 (68-89)
Raja et al., 2004 (67)b Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (−) IgA 41/60 10 (3-23) 100 (94-100)
Raja et al., 2004 (67)b Case-control Culture (SN) India (India) Nontuberculous respiratory disease − (NR) IgM 41/60 12 (4-26) 93 (84-98)
a

SP, smear positive; SN smear negative.

b

Index test blinded to reference standard.

c

Number of participants with TB/number of participants without TB.

d

95% CIs are given in parentheses.

e

NR, not reported.

Ag85B, present in M. tuberculosis culture filtrates and cell walls, is a major component of the Ag85 complex (112). Like MPT51, Ag85B is a fibronectin-binding protein (113). In HIV-negative TB patients, native Ag85B yielded a sensitivity of 53% (95% CI, 20 to 83), and in HIV-positive TB patients, a it yielded a sensitivity of 62% (95% CI, 19 to 92). The specificities were ≥95% (23, 67, 77, 103).

(c) Native α-crystallin (2031c) (see Table S3 in the supplemental material).

α-Crystallin is a 14/16-kDa cell wall protein (106) shown to be induced in bacteria under hypoxia (78). In sputum smear-positive patients, α-crystallin provided a sensitivity of 48% (95% CI, 29 to 68) and a specificity of 96% (95% CI, 83 to 99) (66, 103).

(iii) Lipids.

A variety of lipid-containing antigens are common to mycobacterial species (71). Several lipid moieties have been purified and intensely studied for their serological potential for TB diagnosis (44). Four lipid antigens, all acylated trehaloses (107), were evaluated in smear-positive patients and included in the meta-analysis.

(a) DAT (Table 7).

TABLE 7.

Studies evaluating DAT for serodiagnosis of pulmonary TB

Author, yr (reference) Study design Reference standard (smear statusa) Patient (comparison) country Status of individuals used for comparison HIV status patient (comparator) Ig class No. of participantsb Sensitivity (%)c Specificity (%)c
Julian et al., 2002 (44) Cross-sectional Culture (SP) Spain (Spain) Nontuberculous respiratory disease + and − (−) IgG 42/48 60 (43-74) 58 (43-72)
Julian et al., 2002 (44) Cross-sectional Culture (SP) Spain (Spain) Nontuberculous respiratory disease + and − (−) IgA 42/48 79 (63-90) 50 (35-65)
Julian et al., 2002 (44) Cross-sectional Culture (SP) Spain (Spain) Nontuberculous respiratory disease + and − (−) IgM 42/48 10 (3-23) 100 (93-100)
Julian et al., 2004 (43) Cross-sectional Culture (SP) Spain (Spain) Nontuberculous respiratory disease − (−) IgG 29/35 52 (33-71) 57 (39-74)
Julian et al., 2004 (43) Cross-sectional Culture (SP) Spain (Spain) Nontuberculous respiratory disease − (−) IgA 29/35 79 (60-92) 51 (34-69)
Julian et al., 2004 (43) Cross-sectional Culture (SP) Spain (Spain) Nontuberculous respiratory disease − (−) IgM 29/35 7 (1-23) 100 (90-100)
Simonney et al., 1997 (83) Cross-sectional Culture (SP) France (France) Healthy + and − (NRd) IgG 31/50 32 (17-51) 96 (86-100)
Vera-Cabrera et al., 1999 (105)e Case-control Culture (SP) Mexico (Mexico) Healthy NR (NR) IgG 39/35 49 (32-65) 97 (85-100)
Vera-Cabrera et al., 1999 (105) Case-control Culture (SP) Mexico (Mexico) Healthy NR (NR) IgG 39/35 80 (64-91) 97 (85-100)
Simonney et al., 1997 (83) Cross-sectional Culture (SN) France (France) Healthy + and − (NR) IgG 29/50 21 (8-40) 96 (86-100)
a

SP, smear positive; SN, smear negative.

b

Number of participants with TB/number of participants without TB.

c

95% CIs are given in parentheses.

d

NR, not reported.

e

Dot immunoassay was used; all other studies performed ELISA.

2,3-Diacyltrehalose (DAT), a component of the M. tuberculosis cell wall, has been postulated to play a role in modulating host immune responses (50). DAT yielded a sensitivity of 63% (95% CI, 45 to 78) and a specificity of 81% (95% CI, 50 to 96) (43, 44, 83, 105).

(b) TAT (see Table S4 in the supplemental material).

2,3,6-Triacyltrehalose (TAT) is an antigenic glycolipid compound found in the M. tuberculosis cell wall (41, 43). TAT provided a sensitivity of 81% (95% CI, 21 to 99) and a specificity of 44% (95 CI, 24 to 67) (43, 44).

(c) SL-I (see Table S4 in the supplemental material).

2,3,6,6′-Tetraacyltrehalose 2′-sulfate (sulfolipid I [SL-I]), a compound found abundantly in the M. tuberculosis cell wall, may affect the human immune system and play a role in the pathogenesis of TB (51). SL-I yielded a sensitivity of 80% (95% CI, 56 to 93) and a specificity of 59% (95% CI, 8 to 96) (43, 44).

(d) Cord factor (see Table S4 in the supplemental material).

Cord factor (trehalose 6,6′-dimycolate), a major component of M. tuberculosis cell walls, is named for its central role in aggregating mycobacteria into cord structures (7, 30). Cord factor may contribute to the virulence of M. tuberculosis by facilitating cavity formation (38). Cord factor achieved a sensitivity of 69% (95% CI, 28 to 94) and a specificity of 91% (95% CI, 78 to 97) (43, 44, 101).

(e) TbF6 plus DPEP (see Table S5 in the supplemental material).

TbF6 polyprotein plus DPEP was the multiple-antigen combination most frequently evaluated; four studies involved HIV-uninfected individuals, and one study involved HIV-infected individuals. As described above, TbF6 is a polyprotein. DPEP, also known as MPT32, is a proline-rich 45/47-kDa antigen suggested to have a role in the cross-linking of molecules produced by or bordering M. tuberculosis (49). Earlier studies with native MPT32 have demonstrated that it is a highly immunogenic protein that provided higher sensitivity than the 38-kDa protein when it was tested in the same patient cohort (74). In HIV-negative TB patients, TbF6 plus DPEP achieved a sensitivity of 75% (95% CI, 50 to 91) and a specificity of 94% (95% CI, 86 to 99) (6, 37). The single study evaluating the serodiagnostic potential of TbF6 plus DPEP in HIV-infected individuals is described below.

Assessment of specificity in healthy volunteers compared with assessment of specificity in patients with nontuberculous respiratory diseases (Table 8).

TABLE 8.

Specificity estimates by type of comparison

Antigen name Specificity (%)a
Patients with nontuberculous respiratory disease Healthy subjects
Recombinant 38 kDa 97 (90-99) (6) 90 (57-99) (6)
Recombinant malate synthase 97 (91-100) (4) 99 (81-100) (4)
Recombinant CFP-10 99 (92-100) (3) 90 (43-99) (3)
Native 38 kDa 96 (90-99) (6) 98 (92-100) (4)
DAT 55 (30-76) (4) 97 (88-100) (3)
a

The data represent the posterior means (95% credible intervals) (number of studies).

Sufficient numbers of studies evaluated five antigens, four proteins (recombinant 38 kDa, native 38 kDa, malate synthase, and CFP-10) and one lipid (DAT) for comparison of the specificities for healthy and diseased controls. For the four proteins, both subsets showed similar specificity values. For DAT, studies involving patients with nontuberculous respiratory disease yielded a significantly higher specificity, 57% (95% CI, 30 to 76), than studies with healthy volunteers, 97% (95% CI, 88 to 100).

Overall performance of antigens (Fig. 3).

Among recombinant proteins, malate synthase and TbF6 plus DPEP (multiple antigen) provided the highest sensitivities for the specificities reported (Fig. 3A). For native proteins, Ag85B in HIV-infected TB patients achieved better performance than other native antigens (Fig. 3B). Among lipid antigens, cord factor had the best performance (Fig. 3C).

Descriptive analysis. (i) Performance of antigens in pulmonary TB patients with HIV infection (Fig. 4).

FIG. 4.

FIG. 4.

Performance of antigens for the serodiagnosis of pulmonary TB in HIV-infected patients. (A) Sensitivity; (B) specificity. The circles and the lines represent the point estimates and the 95% CIs, respectively. The size of the circle indicates the study size. MS, malate synthase; n, native; r, recombinant; 1, IgG; 2, IgM; 3, IgA; 4, IgG/A; 5, IgG/IgA/IgM.

Thirty studies evaluating antigens (all proteins) in HIV-infected TB patients were identified; all studies involved sputum smear-positive patients. Of the total, 23 (77%) studies evaluated assays for the detection of IgG and/or IgA antibodies (23, 35, 37, 69, 103, 108), four studies evaluated assays for the detection of IgM antibodies (69, 103), and three studies evaluated assays for the detection of IgG plus IgA plus IgM antibodies (69, 103). Four studies based on multiple-antigen combinations are described in more detail below (35, 37, 108).

Antibodies to all five single antigens (38 kDa, malate synthase, Ag85B, α-crystallin, and recombinant MPT51) evaluated in these studies were detected. As discussed, only MPT51 and Ag85B were investigated in a sufficient number of studies for inclusion in the meta-analysis (Table 4). With assays for the detection of IgG and/or IgA antibodies, the sensitivities reported for 38 kDa (range, 35% to 68%) and α-crystallin (range, 15% to 58%) were similar to those provided for MPT51 and Ag85B. Malate synthase achieved higher sensitivities (range, 73% to 92%). Compared with tests for the detection of only IgG and/or IgA antibodies, tests for the detection of IgM antibodies provided considerably lower sensitivities (range, 4% to 5%). The inclusion of tests for the detection of IgM (IgG plus IgA plus IgM) did not appreciably increase the sensitivity. The specificities provided by all of the above antigens were high (range, 89% to 100%). However, only 6 (20%) studies involved controls with nontuberculous respiratory disease (23, 35, 37), while 14 (47%) studies involved either healthy volunteers or asymptomatic HIV-infected individuals without TB (35, 37, 103, 108). In 10 (33%) studies, the control group involved HIV-infected individuals whose clinical status ranged from asymptomatic to symptomatic with opportunistic infections other than TB (69).

(ii) Performance of tests with multiple antigens (see Table S5 in the supplemental material).

Assays based on multiple antigens provided higher sensitivities (median, 76%; range, 16% to 96% [57 studies]) than assays based on single antigens (median, 53%; range, 2% to 100% [197 studies]), while they maintained high specificities (median, 96%; range, 79% to 100%) (data not shown). The combination of malate synthase plus MPT51 was evaluated in three studies, two studies involving HIV-negative TB patients (2, 108) and one study involving HIV-infected TB patients (108). The sensitivities provided by malate synthase plus MPT51 were similar with HIV-uninfected and -infected TB patients from India: 80% (95% CI, 73 to 87) and 77% (95% CI, 56 to 91), respectively. The specificities were equivalent (97%) whether the comparison group involved HIV-negative healthy volunteers from India or HIV-infected (tuberculin skin test-positive and -negative) asymptomatic individuals from the United States (108). However, this antigen combination yielded a sensitivity of only 55% (95% CI, 36 to 72) with TB patients from the United States (2).

The combination of TbF6 plus DPEP plus malate synthase achieved a sensitivity of approximately 85% with both HIV-negative and HIV-infected TB patients (37). The specificities were high (97%; 95% CI, 83 to 100), even when this antigen combination was evaluated with patients with nontuberculous respiratory disease. In studies in which 38 kDa plus malate synthase was evaluated, the sensitivities reported were 71% (95% CI, 57 to 83) for HIV-negative TB patients and 96% (95% CI, 80 to 100) for HIV-infected TB patients; the specificity was 89% (95% CI, 78 to 96) when it was assessed with healthy volunteers (35). With HIV-negative, sputum smear-positive patients, the combination of 38 kDa plus Ag85B and α-crystallin achieved a sensitivity of 89% (95% CI, 84 to 93) and, with the addition of MPT51, a sensitivity of 91% (95% CI, 86 to 95) (68). With non-HIV-infected, sputum smear-negative patients, the two combinations provided sensitivities of 73% (95% CI, 57 to 86) and 78% (95% CI, 62 to 89), respectively, and a specificity of 87% (95% CI, 75 to 94) when they were assessed with patients with nontuberculous respiratory diseases (68). Only two studies with multiple lipid antigens were identified (see Table S6 in the supplemental material).

(iii) Test performance by Ig class (Table 9).

TABLE 9.

Sensitivity and specificity of in-house antibody detection tests by Ig class

Ig class No. of studies Median (range) %
Sensitivity Specificity
IgG 151 61 (8-100) 96 (26-100)
IgA 25 40 (10-90) 96 (48-100)
IgM 24 11 (2-71) 98 (89-100)
IgG and IgA 34 71 (43-97) 97 (85-100)
IgG and IgM 3 36 (32-52) 98 (98-99)
IgM and IgA 0
IgG, IgA, and IgM 7 71 (60-83) 93 (90-93)
Not reported 10 41 (16-74) 96 (89-99)
    All 254 58 (2-100) 96 (26-100)

Stratification by Ig class showed that in comparison with the results of studies that detected antibodies to IgG (median sensitivity, 61%; range, 8% to 100%) or IgA (median sensitivity, 40%; range, 10% to 90%), studies that detected antibodies to IgM had considerably lower sensitivities (median, 11%; range, 2% to 71%). The median specificities were similar: 96%, 96%, and 98%, respectively. In addition, compared with the results of tests that detected only anti-IgG or anti-IgA antibodies, tests that detected IgG plus IgA showed higher sensitivities (median, 71%; range, 43% to 97%). The inclusion of IgM (IgG plus IgA plus IgM) did not further enhance the sensitivity (median, 71%; range, 60% to 83%).

DISCUSSION

Principal findings.

This systematic review yielded 254 studies evaluating 51 distinct single antigens and 30 multiple-antigen combinations. The performance of these antigens was examined in in-house tests for the serodiagnosis of pulmonary TB. Studies evaluating 13 distinct antigens (recombinant 38 kDa, native 38 kDa, MPT51, malate synthase, CFP-10, TbF6 polyprotein, Ag85B, α-crystallin, DAT, TAT, SL-I, cord factor, and TbF6 plus DPEP [multiple antigen]) were included in the meta-analysis. The results demonstrate that (i) in sputum smear-positive patients, only recombinant malate synthase (sensitivity, 73%; 95% CI, 58 to 85) and TbF6 plus DPEP (sensitivity, 75%; 95% CI, 50 to 91) provided sensitivities significantly ≥50%; (ii) all protein antigens achieved high specificities; (iii) among the lipid antigens, cord factor had the best overall performance (sensitivity, 69% [95% CI, 28 to 94]; specificity, 91% [95% CI, 78 to 97]); (iv) compared with single antigens (median sensitivity, 53%; range, 2% to 100%), multiple antigens yielded higher sensitivities (median sensitivity, 76%; range, 16% to 96%); (v) in HIV-infected patients who are sputum smear positive, antibodies to several single and multiple antigens were detected; and (vi) data on seroreactivity to specific antigens in sputum smear-negative or pediatric patients were insufficient. These results demonstrate that no single antigen provides a sensitivity that is sufficient for a single antigen to be used to devise a serodiagnostic test for TB and that it is unlikely that a single antigen-based serodiagnostic test can be devised. This is not surprising, since the titers of antibodies to each antigen would differ in individuals and the detection of low titers of antibodies would be occluded due to the formation of immune complexes. It is also interesting that while both DPEP and malate synthase are conserved in the M. tuberculosis complex species and in all clinical isolates of M. tuberculosis whose genomes have been sequenced, antibodies to these antigens are not detected in a vast majority of tuberculin skin test-positive individuals with likely latent infection. Proteins that are approximately 50 to 60% homologous to these antigens are present in some other mycobacteria and whether cross-reactive antibodies exist in nontuberculous mycobacterial diseases remains to be reported.

Stratification by Ig class demonstrated that assays for the detection of IgG and/or IgA antibodies provided higher sensitivities than assays for the detection of IgM antibodies. This is not surprising, since IgM antibodies are likely to be expressed early during the onset of infection, with the levels quickly decreasing after this period. By the time that bacteriologically detectable TB manifests, whether it is during primary infection or reactivation, the infection has already progressed for months to years in immunocompetent individuals and weeks to months in immunocompromised patients. Thus, the detection of IgM antibodies may have a role in the identification of early infection, but its value for the serodiagnosis of active TB disease may be limited. Considering that the profile of antigens recognized by antibodies is altered with the progression of M. tuberculosis infection (74), the antigens used in a serodiagnostic test during contact tracing are likely to differ from those used in a test for the diagnosis of clinical TB. To our knowledge, no antigens that can be the basis for an accurate serodiagnostic test for contact tracing have been reported. The discovery, evaluation, and comparison of such tests with gamma interferon release assays need to be considered.

This systematic review and meta-analysis had several strengths. Standard protocols for the conduct of the review (61) and assessment of the quality of the studies (110) were followed. The application of a comprehensive search strategy with various overlapping approaches enabled the retrieval of relevant studies published since 1990. Screening and data extraction were performed independently among three reviewers, and authors were contacted to clarify points and obtain missing data. None of the studies in the review used the result from the antibody test as a reference to confirm TB (incorporation bias). When possible, patients with disease were selected, in preference to healthy controls, to evaluate the performance of antigens with persons in whom TB was initially suspected and subsequently ruled out.

The meta-analysis was limited by the relatively small number of studies investigating the same antigens or antigen combinations. The small number of comparable antigens made it difficult to relate study quality to antigen performance. However, several important deficiencies in study design and quality were noted. Only 20 (7%) studies recruited participants in a random or consecutive manner. Therefore, most studies lacked a sound probabilistic sampling framework. The majority of studies used a case-control design with healthy controls. This design has been found to overestimate test sensitivity and specificity (53, 111), although for the four protein antigens in this review for which a comparison was feasible, the specificities were found to be similar with healthy and diseased controls. Few (26%) studies reported the use of the blinded interpretation of test results and a reference standard. This was not unexpected, since the primary aims of in-house studies are the discovery of novel antigens, evaluation of their diagnostic potential, and/or comparison of different antigens. Nonetheless, the lack of blinding and the dearth of data from cross-sectional studies are major shortcomings of the currently available literature and may have resulted in an overestimation of antigen performance (53). Both errors in design and deficiencies in reporting have been noted as concerns in TB diagnostic studies (62, 89).

An additional limitation was the lack of information about sputum microscopy procedures. Smear status may be determined through the examination of unprocessed sputum (direct smear microscopy) or through the more sensitive examination of sputum after its digestion and concentration prior to the inoculation of cultures (concentrated smear microscopy). The former procedure is more common in low- and middle-income countries, where cultures are rarely done, while the latter procedure is more common in high-income countries. Furthermore, fluorescence microscopy, which is commonly used in high-income countries, is associated with a sensitivity higher than that achieved by conventional light microscopy, which is commonly used in low-income countries (96). Conversely, it is widely appreciated that proficiency in sputum smear microscopy requires regular exposure to positive smears, and this experience is more likely to be gained in low- and middle-income countries where TB is endemic. Thus, the site where smear microscopy was performed may have had an undeterminable impact on the assessment of antigen performance distinct from the nature of the patient population. Another limitation may be that the patient population differed between richer and poorer countries, with persons in the latter having more advanced disease and perhaps being more likely to be infected with HIV. In this review, approximately 75% of the studies involved patients who resided in low-income countries. The maximum benefit of improved diagnosis through serology would manifest in these countries. However, the findings of this review suggest that the assays evaluated could not replace sputum microscopy in these countries.

In TB diagnostic trials, culture is considered the “gold standard.” A majority (78%) of studies used culture as the reference standard. Along with studies that used culture, we also included studies from countries where TB is endemic that used sputum smear microscopy, a test with modest sensitivity. The use of an insensitive reference standard may have led to biased estimates of antigen performance (111). Our choice of reference standard (culture and/or smear) may have limited the inclusion of studies involving children (four studies). Pediatric TB is difficult to diagnose on a bacteriological basis because of the paucibacillary nature of the disease (79). Although statistical tests and graphical methods for the detection of potential publication bias in meta-analyses of randomized control trials are available, to our knowledge such techniques have not been adequately evaluated for diagnostic data (98). It is therefore difficult to rule out publication bias in our review. In addition, our search strategy may have missed some relevant studies by excluding non-English-language publications (28% of the citations initially identified).

Conclusion.

In summary, despite the limitations discussed above, this systematic review and meta-analysis has identified potential candidate antigens for inclusion in an antibody detection-based diagnostic test for pulmonary TB in HIV-infected and -uninfected individuals. However, none of the antigens achieves sufficient sensitivity to replace sputum smear microscopy. Combinations of select antigens provide higher sensitivities than single antigens. Our findings should be interpreted in the context of the availability and the variability in the design and the quality of studies of antigen performance. Clearly, unpublished studies did not feature in this review, and a number of published studies did not meet the eligibility criteria for inclusion.

Recently, the number of systematic reviews of TB diagnostic tests has been growing (63). The current review adds to this expanding evidence base and may offer guidance to researchers, test developers, and grant-awarding bodies on directions for future research. Activities leading to the evaluation of combinations of existing potential candidate antigens, as well as the discovery of additional antigens with diagnostic potential that complement current antigens, need to be intensified to devise assays that can improve upon microscopy. A focus on antigen discovery for the serodiagnosis of TB in smear-negative and pediatric patients should be encouraged. Biobanks (such as the TB Specimen Bank of the Special Programme for Research and Training in Tropical Diseases [TDR]) may be useful for the rapid evaluation of new antigen combinations prior to the consideration of the performance of field studies. Finally, research is also urgently needed to determine whether combinations of microscopy and antibody detection with multiple antigens could improve case finding in high-prevalence countries and whether antibody detection tests can be delivered in an appropriate format.

Efforts are needed to improve both the methodological quality and reporting of TB diagnostic studies. TDR has developed guidelines (Diagnostics Evaluation Expert Panel) that researchers can use to assess the performance and operational characteristics of diagnostics for infectious diseases (5). Use of the Standards for Reporting of Diagnostic Accuracy may also lead to improvements in the quality of studies (11). Future studies should evaluate outcomes that go beyond the conventional diagnostic accuracy of sensitivity and specificity. These outcomes include the accuracy of diagnostic algorithms (rather than single tests) and their relative contributions to the health care system, the incremental or added value of new tests, the impacts of new tests on clinical decision making and therapeutic choices, the cost-effectiveness of new tests in routine programmatic settings, and the impacts of new tests on patient-centered outcomes (63).

Supplementary Material

[Supplemental material]

Acknowledgments

We thank Gloria Won of the University of California, San Francisco, and Madelyn Hall of Southwest Washington Medical Center, Vancouver, WA, for help with the search strategy and article retrieval. We are grateful to Maya, Bhat, Vancouver, WA, and Donna Hammar and Anna Meddaugh, Portland, OR, for technical assistance. In addition, we thank Deb Grantz of the University of California, San Francisco, and Izabela Suder-Dayao and Melissa Anthony Vega of WHO/TDR, Geneva, Switzerland, for administrative assistance.

APPENDIX

Tables A1 to A4 provide additional details about studies that have evaluated the use of recombinant 38 kDa (Rv0934), recombinant MPT51 (Rv3803c), native 38 kDa (Rv0934), and native Ag85B (Rv1886c) for the serodiagnosis of pulmonary TB, respectively.

Footnotes

Published ahead of print on 3 December 2008.

Supplemental material for this article may be found at http://cvi.asm.org/.

REFERENCES

  • 1.Abebe, F., C. Holm-Hansen, H. G. Wiker, and G. Bjune. 2007. Progress in serodiagnosis of Mycobacterium tuberculosis infection. Scand. J. Immunol. 66176-191. [DOI] [PubMed] [Google Scholar]
  • 2.Achkar, J. M., Y. Dong, R. S. Holzman, J. Belisle, I. S. Kourbeti, T. Sherpa, R. Condos, W. N. Rom, and S. Laal. 2006. Mycobacterium tuberculosis malate synthase- and MPT51-based serodiagnostic assay as an adjunct to rapid identification of pulmonary tuberculosis. Clin. Vaccine Immunol. 131291-1293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Amicosante, M., S. Barnini, V. Corsini, G. Paone, C. A. Read, Jr., P. L. Tartoni, M. Singh, C. Albera, A. Bisetti, S. Senesi, et al. 1995. Evaluation of a novel tuberculosis complex-specific 34 kDa protein in the serological diagnosis of tuberculosis. Eur. Respir. J. 82008-2014. [DOI] [PubMed] [Google Scholar]
  • 4.Banerjee, S., S. Gupta, N. Shende, S. Kumar, and B. C. Harinath. 2002. Cocktail of ES-31 and ES-41 antigens for screening of pulmonary and extrapulmonary tuberculosis. Biomed. Res. 13135-137. [Google Scholar]
  • 5.Banoo, S., D. Bell, P. Bossuyt, A. Herring, D. Mabey, F. Poole, P. G. Smith, N. Sriram, C. Wongsrichanalai, R. Linke, R. O'Brien, M. Perkins, J. Cunningham, P. Matsoso, C. M. Nathanson, P. Olliaro, R. W. Peeling, and A. Ramsay. 2006. Evaluation of diagnostic tests for infectious diseases: general principles. Nat. Rev. Microbiol. 4S21-S31. [DOI] [PubMed] [Google Scholar]
  • 6.Beck, S. T., O. M. Leite, R. S. Arruda, and A. W. Ferreira. 2005. Combined use of Western blot/ELISA to improve the serological diagnosis of human tuberculosis. Braz. J. Infect. Dis. 935-43. [DOI] [PubMed] [Google Scholar]
  • 7.Behling, C. A., B. Bennett, K. Takayama, and R. L. Hunter. 1993. Development of a trehalose 6,6′-dimycolate model which explains cord formation by Mycobacterium tuberculosis. Infect. Immun. 612296-2303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Ben Amor, Y., E. Shashkina, S. Johnson, P. J. Bifani, N. Kurepina, B. Kreiswirth, S. Bhattacharya, J. Spencer, A. Rendon, A. Catanzaro, and M. L. Gennaro. 2005. Immunological characterization of novel secreted antigens of Mycobacterium tuberculosis. Scand. J. Immunol. 61139-146. [DOI] [PubMed] [Google Scholar]
  • 9.Berthet, F. X., P. B. Rasmussen, I. Rosenkrands, P. Andersen, and B. Gicquel. 1998. A Mycobacterium tuberculosis operon encoding ESAT-6 and a novel low-molecular-mass culture filtrate protein (CFP-10). Microbiology 144(Pt 11)3195-3203. [DOI] [PubMed] [Google Scholar]
  • 10.Bethunaickan, R., A. R. Baulard, C. Locht, and A. Raja. 2007. Antibody response in pulmonary tuberculosis against recombinant 27kDa (MPT51, Rv3803c) protein of Mycobacterium tuberculosis. Scand. J. Infect. Dis. 39867-874. [DOI] [PubMed] [Google Scholar]
  • 11.Bossuyt, P. M., J. B. Reitsma, D. E. Bruns, C. A. Gatsonis, P. P. Glasziou, L. M. Irwig, J. G. Lijmer, D. Moher, D. Rennie, and H. C. de Vet. 2003. Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Ann. Intern. Med. 13840-44. [DOI] [PubMed] [Google Scholar]
  • 12.Bothamley, G., H. Batra, V. Ramesh, A. Chandramui, and J. Ivanyi. 1992. Serodiagnostic value of the 19 kilodalton antigen of Mycobacterium tuberculosis in Indian patients. Eur. J. Clin. Microbiol. Infect. Dis. 11912-915. [DOI] [PubMed] [Google Scholar]
  • 13.Bothamley, G. H. 1995. Serological diagnosis of tuberculosis. Eur. Respir. J. Suppl. 20676s-688s. [PubMed] [Google Scholar]
  • 14.Bothamley, G. H., R. Rudd, F. Festenstein, and J. Ivanyi. 1992. Clinical value of the measurement of Mycobacterium tuberculosis specific antibody in pulmonary tuberculosis. Thorax 47270-275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Bothamley, G. H., and R. M. Rudd. 1994. Clinical evaluation of a serological assay using a monoclonal antibody (TB72) to the 38 kDa antigen of Mycobacterium tuberculosis. Eur. Respir. J. 7240-246. [DOI] [PubMed] [Google Scholar]
  • 16.Broekmans, J. F., G. B. Migliori, H. L. Rieder, J. Lees, P. Ruutu, R. Loddenkemper, and M. C. Raviglione. 2002. European framework for tuberculosis control and elimination in countries with a low incidence. Recommendations of the World Health Organization (WHO), International Union Against Tuberculosis and Lung Disease (IUATLD) and Royal Netherlands Tuberculosis Association (KNCV) Working Group. Eur. Respir. J. 19765-775. [DOI] [PubMed] [Google Scholar]
  • 17.Chan, E. D., L. Heifets, and M. D. Iseman. 2000. Immunologic diagnosis of tuberculosis: a review. Tuber. Lung Dis. 80131-140. [DOI] [PubMed] [Google Scholar]
  • 18.Chan, S. L., Z. Reggiardo, T. M. Daniel, D. J. Girling, and D. A. Mitchison. 1990. Serodiagnosis of tuberculosis using an ELISA with antigen 5 and a hemagglutination assay with glycolipid antigens. Results in patients with newly diagnosed pulmonary tuberculosis ranging in extent of disease from minimal to extensive. Am. Rev. Respir. Dis. 142385-389. [DOI] [PubMed] [Google Scholar]
  • 19.Chanteau, S., V. Rasolofo, T. Rasolonavalona, H. Ramarokoto, C. Horn, G. Auregan, and G. Marchal. 2000. 45/47 kilodalton (APA) antigen capture and antibody detection assays for the diagnosis of tuberculosis. Int. J. Tuberc. Lung Dis. 4377-383. [PubMed] [Google Scholar]
  • 20.Chaudhary, V. K., A. Kulshreshta, G. Gupta, N. Verma, S. Kumari, S. K. Sharma, A. Gupta, and A. K. Tyagi. 2005. Expression and purification of recombinant 38-kDa and Mtb81 antigens of Mycobacterium tuberculosis for application in serodiagnosis. Protein Expr. Purif. 40169-176. [DOI] [PubMed] [Google Scholar]
  • 21.Daniel, T. M. 1988. Antibody and antigen detection for the immunodiagnosis of tuberculosis: why not? What more is needed? Where do we stand today? J. Infect. Dis. 158678-680. [DOI] [PubMed] [Google Scholar]
  • 22.Daniel, T. M., and S. M. Debanne. 1987. The serodiagnosis of tuberculosis and other mycobacterial diseases by enzyme-linked immunosorbent assay. Am. Rev. Respir. Dis. 1351137-1151. [DOI] [PubMed] [Google Scholar]
  • 23.Daniel, T. M., A. A. Sippola, A. Okwera, S. Kabengera, E. Hatanga, T. Aisu, S. Nyole, F. Byekwaso, M. Vjecha, L. E. Ferguson, et al. 1994. Reduced sensitivity of tuberculosis serodiagnosis in patients with AIDS in Uganda. Tuber. Lung Dis. 7533-37. [DOI] [PubMed] [Google Scholar]
  • 24.David, H. L., F. Papa, P. Cruaud, H. C. Berlie, M. De Fatima Maroja, J. I. Salem, and M. F. Costa. 1992. Relationships between titers of antibodies immunoreacting against glycolipid antigens from Mycobacterium leprae and M. tuberculosis, the Mitsuda and Mantoux reactions, and bacteriological loads: implications in the pathogenesis, epidemiology and serodiagnosis of leprosy and tuberculosis. Int. J. Lepr. 60208-224. [PubMed] [Google Scholar]
  • 25.Deville, W. L., F. Buntinx, L. M. Bouter, V. M. Montori, H. C. de Vet., D. A. van der Windt, and P. D. Bezemer. 2002. Conducting systematic reviews of diagnostic studies: didactic guidelines. BMC Med. Res. Methodol. 29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Diagbouga, S., F. Fumoux, A. Zoubga, P. T. Sanou, and G. Marchal. 1997. Immunoblot analysis for serodiagnosis of tuberculosis using a 45/47-kilodalton antigen complex of Mycobacterium tuberculosis. Clin. Diagn. Lab. Immunol. 4334-338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Dillon, D. C., M. R. Alderson, C. H. Day, T. Bement, A. Campos-Neto, Y. A. Skeiky, T. Vedvick, R. Badaro, S. G. Reed, and R. Houghton. 2000. Molecular and immunological characterization of Mycobacterium tuberculosis CFP-10, an immunodiagnostic antigen missing in Mycobacterium bovis BCG. J. Clin. Microbiol. 383285-3290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Dinnes, J., J. Deeks, H. Kunst, A. Gibson, E. Cummins, N. Waugh, F. Drobniewski, and A. Lalvani. 2007. A systematic review of rapid diagnostic tests for the detection of tuberculosis infection. Health Technol. Assess. 111-196. [DOI] [PubMed] [Google Scholar]
  • 29.Fujita, Y., T. Doi, K. Sato, and I. Yano. 2005. Diverse humoral immune responses and changes in IgG antibody levels against mycobacterial lipid antigens in active tuberculosis. Microbiology 1512065-2074. [DOI] [PubMed] [Google Scholar]
  • 30.Gao, Q., K. Kripke, Z. Arinc, M. Voskuil, and P. Small. 2004. Comparative expression studies of a complex phenotype: cord formation in Mycobacterium tuberculosis. Tuberculosis (Edinburgh) 84188-196. [DOI] [PubMed] [Google Scholar]
  • 31.Gatsonis, C., and P. Paliwal. 2006. Meta-analysis of diagnostic and screening test accuracy evaluations: methodologic primer. Am. J. Roentgenol. 187271-281. [DOI] [PubMed] [Google Scholar]
  • 32.Gennaro, M. L. 2000. Immunologic diagnosis of tuberculosis. Clin. Infect. Dis. 30(Suppl. 3)S243-S246. [DOI] [PubMed] [Google Scholar]
  • 33.Greenaway, C., C. Lienhardt, R. Adegbola, P. Brusasca, K. McAdam, and D. Menzies. 2005. Humoral response to Mycobacterium tuberculosis antigens in patients with tuberculosis in The Gambia. Int. J. Tuberc. Lung Dis. 91112-1119. [PubMed] [Google Scholar]
  • 34.Harrington, J. J., III, J. L. Ho, J. R. Lapa e Silva, M. B. Conde, A. L. Kritski, L. S. Fonseca, and M. H. Saad. 2000. Mycobacterium tuberculosis lipid antigens: use of multi-antigen based enzyme immunoassay for free and complex dissociated antibodies. Int. J. Tuberc. Lung Dis. 4161-167. [PubMed] [Google Scholar]
  • 35.Hendrickson, R. C., J. F. Douglass, L. D. Reynolds, P. D. McNeill, D. Carter, S. G. Reed, and R. L. Houghton. 2000. Mass spectrometric identification of mtb81, a novel serological marker for tuberculosis. J. Clin. Microbiol. 382354-2361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Hoff, S. T., M. Abebe, P. Ravn, N. Range, W. Malenganisho, D. S. Rodriques, E. G. Kallas, C. Soborg, T. M. Doherty, P. Andersen, and K. Weldingh. 2007. Evaluation of Mycobacterium tuberculosis-specific antibody responses in populations with different levels of exposure from Tanzania, Ethiopia, Brazil, and Denmark. Clin. Infect. Dis. 45575-582. [DOI] [PubMed] [Google Scholar]
  • 37.Houghton, R. L., M. J. Lodes, D. C. Dillon, L. D. Reynolds, C. H. Day, P. D. McNeill, R. C. Hendrickson, Y. A. Skeiky, D. P. Sampaio, R. Badaro, K. P. Lyashchenko, and S. G. Reed. 2002. Use of multiepitope polyproteins in serodiagnosis of active tuberculosis. Clin. Diagn. Lab. Immunol. 9883-891. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Hunter, R. L., M. R. Olsen, C. Jagannath, and J. K. Actor. 2006. Multiple roles of cord factor in the pathogenesis of primary, secondary, and cavitary tuberculosis, including a revised description of the pathology of secondary disease. Ann. Clin. Lab. Sci. 36371-386. [PubMed] [Google Scholar]
  • 39.Imaz, M. S., M. A. Comini, E. Zerbini, M. D. Sequeira, M. J. Spoletti, A. A. Etchart, H. J. Pagano, E. Bonifasich, N. Diaz, J. D. Claus, and M. Singh. 2001. Evaluation of the diagnostic value of measuring IgG, IgM and IgA antibodies to the recombinant 16-kilodalton antigen of Mycobacterium tuberculosis in childhood tuberculosis. Int. J. Tuberc. Lung Dis. 51036-1043. [PubMed] [Google Scholar]
  • 40.Iseman, M. D. 2000. Immunity and pathogenesis, p. 63-96. In M. D. Iseman (ed.), A clinician's guide to tuberculosis. Lippincott Williams & Wilkins, Philadelphia, PA.
  • 41.Jackson, M., G. Stadthagen, and B. Gicquel. 2007. Long-chain multiple methyl-branched fatty acid-containing lipids of Mycobacterium tuberculosis: biosynthesis, transport, regulation and biological activities. Tuberculosis (Edinburgh) 8778-86. [DOI] [PubMed] [Google Scholar]
  • 42.Jones, C. M., and T. Athanasiou. 2005. Summary receiver operating characteristic curve analysis techniques in the evaluation of diagnostic tests. Ann. Thorac. Surg. 7916-20. [DOI] [PubMed] [Google Scholar]
  • 43.Julian, E., L. Matas, J. Alcaide, and M. Luquin. 2004. Comparison of antibody responses to a potential combination of specific glycolipids and proteins for test sensitivity improvement in tuberculosis serodiagnosis. Clin. Diagn. Lab. Immunol. 1170-76. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Julian, E., L. Matas, A. Perez, J. Alcaide, M. A. Laneelle, and M. Luquin. 2002. Serodiagnosis of tuberculosis: comparison of immunoglobulin A (IgA) response to sulfolipid I with IgG and IgM responses to 2,3-diacyltrehalose, 2,3,6-triacyltrehalose, and cord factor antigens. J. Clin. Microbiol. 403782-3788. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Keeler, E., M. D. Perkins, P. Small, C. Hanson, S. Reed, J. Cunningham, J. E. Aledort, L. Hillborne, M. E. Rafael, F. Girosi, and C. Dye. 2006. Reducing the global burden of tuberculosis: the contribution of improved diagnostics. Nature 444(Suppl. 1)49-57. [DOI] [PubMed] [Google Scholar]
  • 46.Kinhikar, A. G., D. Vargas, H. Li, S. B. Mahaffey, L. Hinds, J. T. Belisle, and S. Laal. 2006. Mycobacterium tuberculosis malate synthase is a laminin-binding adhesin. Mol. Microbiol. 60999-1013. [DOI] [PubMed] [Google Scholar]
  • 47.Laal, S. 2004. Immunodiagnosis, p. 185-191. In W. N. Rom and S. M. Garay (ed.), Tuberculosis. Lippincott Williams & Wilkins, Philadelphia, PA.
  • 48.Laal, S., and Y. A. Skeiky. 2005. Immune-based methods, p. 71-83. In S. T. Cole (ed.), Tuberculosis and the tubercle bacillus. ASM Press, Washington, DC.
  • 49.Laqueyrerie, A., P. Militzer, F. Romain, K. Eiglmeier, S. Cole, and G. Marchal. 1995. Cloning, sequencing, and expression of the apa gene coding for the Mycobacterium tuberculosis 45/47-kilodalton secreted antigen complex. Infect. Immun. 634003-4010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Lee, K. S., V. S. Dubey, P. E. Kolattukudy, C. H. Song, A. R. Shin, S. B. Jung, C. S. Yang, S. Y. Kim, E. K. Jo, J. K. Park, and H. J. Kim. 2007. Diacyltrehalose of Mycobacterium tuberculosis inhibits lipopolysaccharide- and mycobacteria-induced proinflammatory cytokine production in human monocytic cells. FEMS Microbiol. Lett. 267121-128. [DOI] [PubMed] [Google Scholar]
  • 51.Leigh, C. D., and C. R. Bertozzi. 2008. Synthetic studies toward Mycobacterium tuberculosis sulfolipid-I. J. Org. Chem. 731008-1017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Lewinsohn, D. A., M. L. Gennaro, L. Scholvinck, and D. M. Lewinsohn. 2004. Tuberculosis immunology in children: diagnostic and therapeutic challenges and opportunities. Int. J. Tuberc. Lung Dis. 8658-674. [PubMed] [Google Scholar]
  • 53.Lijmer, J. G., B. W. Mol, S. Heisterkamp, G. J. Bonsel, M. H. Prins, J. H. van der Meulen, and P. M. Bossuyt. 1999. Empirical evidence of design-related bias in studies of diagnostic tests. JAMA 2821061-1066. [DOI] [PubMed] [Google Scholar]
  • 54.Littenberg, B., and L. E. Moses. 1993. Estimating diagnostic accuracy from multiple conflicting reports: a new meta-analytic method. Med. Decis. Making 13313-321. [DOI] [PubMed] [Google Scholar]
  • 55.Lodes, M. J., D. C. Dillon, R. Mohamath, C. H. Day, D. R. Benson, L. D. Reynolds, P. McNeill, D. P. Sampaio, Y. A. Skeiky, R. Badaro, D. H. Persing, S. G. Reed, and R. L. Houghton. 2001. Serological expression cloning and immunological evaluation of MTB48, a novel Mycobacterium tuberculosis antigen. J. Clin. Microbiol. 392485-2493. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Mase, S. R., A. Ramsay, V. Ng, M. Henry, P. C. Hopewell, J. Cunningham, R. Urbanczik, M. D. Perkins, M. A. Aziz, and M. Pai. 2007. Yield of serial sputum specimen examinations in the diagnosis of pulmonary tuberculosis: a systematic review. Int. J. Tuberc. Lung Dis. 11485-495. [PubMed] [Google Scholar]
  • 57.Menzies, D. 2004. What is the current and potential role of diagnostic tests other than sputum microscopy and culture?, p. 87-91. In T. Frieden (ed.), Toman's tuberculosis: case detection, treatment, and monitoring—questions and answers, 2nd ed. Report WHO/HTM/TB/2004.334. World Health Organization, Geneva, Switzerland.
  • 58.Mukherjee, S., N. Daifalla, Y. Zhang, J. Douglass, L. Brooks, T. Vedvick, R. Houghton, S. G. Reed, and A. Campos-Neto. 2004. Potential serological use of a recombinant protein that is a replica of a Mycobacterium tuberculosis protein found in the urine of infected mice. Clin. Diagn. Lab. Immunol. 11280-286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Murthy, M. K., R. R. Parasa, A. Deenadayalan, P. Sharma, and A. Raja. 2007. Evaluation of the diagnostic potential of region of deletion-1-encoded antigen culture filtrate protein-10 in pulmonary tuberculosis. Diagn. Microbiol. Infect. Dis. 59295-302. [DOI] [PubMed] [Google Scholar]
  • 60.Pai, M., S. Kalantri, and K. Dheda. 2006. New tools and emerging technologies for the diagnosis of tuberculosis. Part II. Active tuberculosis and drug resistance. Expert Rev. Mol. Diagn. 6423-432. [DOI] [PubMed] [Google Scholar]
  • 61.Pai, M., M. McCulloch, W. Enanoria, and J. M. Colford, Jr. 2004. Systematic reviews of diagnostic test evaluations: what's behind the scenes? ACP J. Club 141A11-A13. [PubMed] [Google Scholar]
  • 62.Pai, M., and R. O'Brien. 2006. Tuberculosis diagnostics trials: do they lack methodological rigor? Expert Rev. Mol. Diagn. 6509-514. [DOI] [PubMed] [Google Scholar]
  • 63.Pai, M., A. Ramsay, and R. O'Brien. 2008. Evidence-based tuberculosis diagnosis. PLoS Med. 5e156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Palomino, J. C. 2005. Nonconventional and new methods in the diagnosis of tuberculosis: feasibility and applicability in the field. Eur. Respir. J. 26339-350. [DOI] [PubMed] [Google Scholar]
  • 65.Perkins, M. D., G. Roscigno, and A. Zumla. 2006. Progress towards improved tuberculosis diagnostics for developing countries. Lancet 367942-943. [DOI] [PubMed] [Google Scholar]
  • 66.Raja, A., K. R. U. Devi, B. Ramalingam, and P. J. Brennan. 2002. Immunoglobulin G, A, and M responses in serum and circulating immune complexes elicited by the 16-kilodalton antigen of Mycobacterium tuberculosis. Clin. Diagn. Lab. Immunol. 9308-312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Raja, A., K. R. U. Devi, B. Ramalingam, and P. J. Brennan. 2004. Improved diagnosis of pulmonary tuberculosis by detection of free and immune complex-bound anti-30kDa antibodies. Diagn. Microbiol. Infect. Dis. 50253-259. [DOI] [PubMed] [Google Scholar]
  • 68.Raja, A., U. D. Ranganathan, and R. Bethunaickan. 2008. Improved diagnosis of pulmonary tuberculosis by detection of antibodies against multiple Mycobacterium tuberculosis antigens. Diagn. Microbiol. Infect. Dis. 60361-368. [DOI] [PubMed] [Google Scholar]
  • 69.Ramalingam, B., K. R. Uma Devi, and A. Raja. 2003. Isotype-specific anti-38 and 27 kDa (MPT 51) response in pulmonary tuberculosis with human immunodeficiency virus coinfection. Scand. J. Infect. Dis. 35234-239. [DOI] [PubMed] [Google Scholar]
  • 70.R Development Core Team. 2006. R: a language and environment for statistical computing. http://www.R-project.org. Accessed 13 May 2008.
  • 71.Ridell, M., G. Wallerstrom, D. E. Minnikin, R. C. Bolton, and M. Magnusson. 1992. A comparative serological study of antigenic glycolipids from Mycobacterium tuberculosis. Tuber. Lung Dis. 73101-105. [DOI] [PubMed] [Google Scholar]
  • 72.Rutter, C. M., and C. A. Gatsonis. 2001. A hierarchical regression approach to meta-analysis of diagnostic test accuracy evaluations. Stat. Med. 202865-2884. [DOI] [PubMed] [Google Scholar]
  • 73.Sada, E., P. J. Brennan, T. Herrera, and M. Torres. 1990. Evaluation of lipoarabinomannan for the serological diagnosis of tuberculosis. J. Clin. Microbiol. 282587-2590. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Samanich, K., J. T. Belisle, and S. Laal. 2001. Homogeneity of antibody responses in tuberculosis patients. Infect. Immun. 694600-4609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Samanich, K. M., J. T. Belisle, M. G. Sonnenberg, M. A. Keen, S. Zolla-Pazner, and S. Laal. 1998. Delineation of human antibody responses to culture filtrate antigens of Mycobacterium tuberculosis. J. Infect. Dis. 1781534-1538. [DOI] [PubMed] [Google Scholar]
  • 76.Samanich, K. M., M. A. Keen, V. D. Vissa, J. D. Harder, J. S. Spencer, J. T. Belisle, S. Zolla-Pazner, and S. Laal. 2000. Serodiagnostic potential of culture filtrate antigens of Mycobacterium tuberculosis. Clin. Diagn. Lab. Immunol. 7662-668. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Senthil Kumar, K. S., K. R. Uma Devi, and R. Alamelu. 2002. Isolation and evaluation of diagnostic value of two major secreted proteins of Mycobacterium tuberculosis. Indian J. Chest Dis. Allied Sci. 44225-232. [PubMed] [Google Scholar]
  • 78.Sherman, D. R., M. Voskuil, D. Schnappinger, R. Liao, M. I. Harrell, and G. K. Schoolnik. 2001. Regulation of the Mycobacterium tuberculosis hypoxic response gene encoding alpha-crystallin. Proc. Natl. Acad. Sci. USA 987534-7539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Shingadia, D., and V. Novelli. 2003. Diagnosis and treatment of tuberculosis in children. Lancet Infect. Dis. 3624-632. [DOI] [PubMed] [Google Scholar]
  • 80.Siddiqi, K., M. L. Lambert, and J. Walley. 2003. Clinical diagnosis of smear-negative pulmonary tuberculosis in low-income countries: the current evidence. Lancet Infect. Dis. 3288-296. [DOI] [PubMed] [Google Scholar]
  • 81.Silva, V. M., G. Kanaujia, M. L. Gennaro, and D. Menzies. 2003. Factors associated with humoral response to ESAT-6, 38 kDa and 14 kDa in patients with a spectrum of tuberculosis. Int. J. Tuberc. Lung Dis. 7478-484. [PubMed] [Google Scholar]
  • 82.Simonney, N., P. Chavanet, C. Perronne, M. Leportier, F. Revol, J. L. Herrmann, and P. H. Lagrange. 2007. B-cell immune responses in HIV positive and HIV negative patients with tuberculosis evaluated with an ELISA using a glycolipid antigen. Tuberculosis (Edinburgh) 87109-122. [DOI] [PubMed] [Google Scholar]
  • 83.Simonney, N., J. M. Molina, M. Molimard, E. Oksenhendler, and P. H. Lagrange. 1997. Circulating immune complexes in human tuberculosis sera: demonstration of specific antibodies against Mycobacterium tuberculosis glycolipid (DAT, PGLTb1, LOS) antigens in isolated circulating immune complexes. Eur. J. Clin. Investig. 27128-134. [DOI] [PubMed] [Google Scholar]
  • 84.Simonney, N., J. M. Molina, M. Molimard, E. Oksenhendler, and P. H. Lagrange. 1996. Comparison of A60 and three glycolipid antigens in an ELISA test for tuberculosis. Clin. Microbiol. Infect. 2214-222. [DOI] [PubMed] [Google Scholar]
  • 85.Singh, K. K., Y. Dong, J. T. Belisle, J. Harder, V. K. Arora, and S. Laal. 2005. Antigens of Mycobacterium tuberculosis recognized by antibodies during incipient, subclinical tuberculosis. Clin. Diagn. Lab. Immunol. 12354-358. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Singh, K. K., Y. Dong, L. Hinds, M. A. Keen, J. T. Belisle, S. Zolla-Pazner, J. M. Achkar, A. J. Nadas, V. K. Arora, and S. Laal. 2003. Combined use of serum and urinary antibody for diagnosis of tuberculosis. J. Infect. Dis. 188371-377. [DOI] [PubMed] [Google Scholar]
  • 87.Singh, K. K., Y. Dong, S. A. Patibandla, D. N. McMurray, V. K. Arora, and S. Laal. 2005. Immunogenicity of the Mycobacterium tuberculosis PPE55 (Rv3347c) protein during incipient and clinical tuberculosis. Infect. Immun. 735004-5014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Small, P. 2007. Strengthening laboratory services for today and tomorrow. Presented at 38th Union World Conference on Lung Health, Cape Town, South Africa. http://www.finddiagnostics.org/news/events/lung_health_conf2007/PeterSMALL_Keynote%20speech.pdf. Accessed 20 April 2008. [PubMed]
  • 89.Small, P. M., and M. D. Perkins. 2000. More rigour needed in trials of new diagnostic agents for tuberculosis. Lancet 3561048-1049. [DOI] [PubMed] [Google Scholar]
  • 90.Smith, C. V., C. C. Huang, A. Miczak, D. G. Russell, J. C. Sacchettini, and K. Honer zu Bentrup. 2003. Biochemical and structural studies of malate synthase from Mycobacterium tuberculosis. J. Biol. Chem. 2781735-1743. [DOI] [PubMed] [Google Scholar]
  • 91.Spiegelhalter, D., A. Thomas, N. Best, and D. Lunn. 2004. WinBUGS user manual, version 1.4.1. http://www.mrc-bsu.cam.ac.uk/bugs. Accessed 13 May 2008.
  • 92.SPSS, Inc. 2006. SPSS for Windows, 14.0.1.366 ed. SPSS Inc., Chicago, IL.
  • 93.Squire, S. B., A. K. Belaye, A. Kashoti, F. M. Salaniponi, C. J. Mundy, S. Theobald, and J. Kemp. 2005. ‘Lost’ smear-positive pulmonary tuberculosis cases: where are they and why did we lose them? Int. J. Tuberc. Lung Dis. 925-31. [PubMed] [Google Scholar]
  • 94.Steingart, K. R., M. Henry, S. Laal, P. C. Hopewell, A. Ramsay, D. Menzies, J. Cunningham, K. Weldingh, and M. Pai. 2007. Commercial serological antibody detection tests for the diagnosis of pulmonary tuberculosis: a systematic review. PLoS Med. 4e202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Steingart, K. R., M. Henry, S. Laal, P. C. Hopewell, A. Ramsay, D. Menzies, J. Cunningham, K. Weldingh, and M. Pai. 2007. A systematic review of commercial serological antibody detection tests for the diagnosis of extrapulmonary tuberculosis. Thorax 62911-918. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Steingart, K. R., M. Henry, V. Ng, P. C. Hopewell, A. Ramsay, J. Cunningham, R. Urbanczik, M. Perkins, M. A. Aziz, and M. Pai. 2006. Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review. Lancet Infect. Dis. 6570-581. [DOI] [PubMed] [Google Scholar]
  • 97.Steingart, K. R., V. Ng, M. Henry, P. C. Hopewell, A. Ramsay, J. Cunningham, R. Urbanczik, M. D. Perkins, M. A. Aziz, and M. Pai. 2006. Sputum processing methods to improve the sensitivity of smear microscopy for tuberculosis: a systematic review. Lancet Infect. Dis. 6664-674. [DOI] [PubMed] [Google Scholar]
  • 98.Tatsioni, A., D. A. Zarin, N. Aronson, D. J. Samson, C. R. Flamm, C. Schmid, and J. Lau. 2005. Challenges in systematic reviews of diagnostic technologies. Ann. Intern. Med. 1421048-1055. [DOI] [PubMed] [Google Scholar]
  • 99.Tessema, T. A., G. Bjune, B. Hamasur, S. Svenson, H. Syre, and B. Bjorvatn. 2002. Circulating antibodies to lipoarabinomannan in relation to sputum microscopy, clinical features and urinary anti-lipoarabinomannan detection in pulmonary tuberculosis. Scand. J. Infect. Dis. 3497-103. [DOI] [PubMed] [Google Scholar]
  • 100.Tiwari, R. P., N. S. Hattikudur, R. N. Bharmal, S. Kartikeyan, N. M. Deshmukh, and P. S. Bisen. 2007. Modern approaches to a rapid diagnosis of tuberculosis: promises and challenges ahead. Tuberculosis (Edinburgh) 87193-201. [DOI] [PubMed] [Google Scholar]
  • 101.Traunmuller, F., I. Haslinger, H. Lagler, G. Wolfgang, M. A. Zeitlinger, and H. A. Abdel Salam. 2005. Influence of the washing buffer composition on the sensitivity of an enzyme-linked immunosorbent assay using mycobacterial glycolipids as capture antigens. J. Immunoassay Immunochem. 26179-188. [DOI] [PubMed] [Google Scholar]
  • 102.Uma Devi, K. R., B. Ramalingam, P. J. Brennan, P. R. Narayanan, and A. Raja. 2001. Specific and early detection of IgG, IgA and IgM antibodies to Mycobacterium tuberculosis 38kDa antigen in pulmonary tuberculosis. Tuberculosis (Edinburgh) 81249-253. [DOI] [PubMed] [Google Scholar]
  • 103.Uma Devi, K. R., B. Ramalingam, and A. Raja. 2003. Antibody response to Mycobacterium tuberculosis 30 and 16kDa antigens in pulmonary tuberculosis with human immunodeficiency virus coinfection. Diagn. Microbiol. Infect. Dis. 46205-209. [DOI] [PubMed] [Google Scholar]
  • 104.Urbanczik, R. 1985. Present position of microscopy and of culture in diagnostic mycobacteriology. Zentralbl. Bakteriol. Mikrobiol. Hyg. Reihe A 26081-87. [DOI] [PubMed] [Google Scholar]
  • 105.Vera-Cabrera, L., A. Rendon, M. Diaz-Rodriguez, V. Handzel, and A. Laszlo. 1999. Dot blot assay for detection of antidiacyltrehalose antibodies in tuberculous patients. Clin. Diagn. Lab. Immunol. 6686-689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Verbon, A., R. A. Hartskeerl, A. Schuitema, A. H. Kolk, D. B. Young, and R. Lathigra. 1992. The 14,000-molecular-weight antigen of Mycobacterium tuberculosis is related to the alpha-crystallin family of low-molecular-weight heat shock proteins. J. Bacteriol. 1741352-1359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Verma, R. K., and A. Jain. 2007. Antibodies to mycobacterial antigens for diagnosis of tuberculosis. FEMS Immunol. Med. Microbiol. 51453-461. [DOI] [PubMed] [Google Scholar]
  • 108.Wanchu, A., Y. Dong, S. Sethi, V. P. Myneedu, A. Nadas, Z. Liu, J. Belisle, and S. Laal. 2008. Biomarkers for clinical and incipient tuberculosis: performance in a TB-endemic country. PLoS One 3e2071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Weldingh, K., I. Rosenkrands, L. M. Okkels, T. M. Doherty, and P. Andersen. 2005. Assessing the serodiagnostic potential of 35 Mycobacterium tuberculosis proteins and identification of four novel serological antigens. J. Clin. Microbiol. 4357-65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Whiting, P., A. W. Rutjes, J. B. Reitsma, P. M. Bossuyt, and J. Kleijnen. 2003. The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med. Res. Methodol. 325. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Whiting, P., A. W. Rutjes, J. B. Reitsma, A. S. Glas, P. M. Bossuyt, and J. Kleijnen. 2004. Sources of variation and bias in studies of diagnostic accuracy: a systematic review. Ann. Intern. Med. 140189-202. [DOI] [PubMed] [Google Scholar]
  • 112.Wiker, H. G., and M. Harboe. 1992. The antigen 85 complex: a major secretion product of Mycobacterium tuberculosis. Microbiol. Rev. 56648-661. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Wilson, R. A., W. N. Maughan, L. Kremer, G. S. Besra, and K. Futterer. 2004. The structure of Mycobacterium tuberculosis MPT51 (FbpC1) defines a new family of non-catalytic alpha/beta hydrolases. J. Mol. Biol. 335519-530. [DOI] [PubMed] [Google Scholar]
  • 114.World Health Organization. 2003. Treatment of tuberculosis: guidelines for national programmes, 3rd ed. Report WHO/CDS/TB/2003.313. World Health Organization, Geneva, Switzerland.
  • 115.World Health Organization. 2007. World health statistics. World Health Organization, Geneva, Switzerland. http://www.who.int/whosis/database/core/core_select_process.cfm. Accessed 9 February 2008.
  • 116.Young, D. B., M. D. Perkins, K. Duncan, and C. E. Barry. 2008. Confronting the scientific obstacles to global control of tuberculosis. J. Clin. Investig. 1181255-1265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Zamora, J., V. Abraira, A. Muriel, K. S. Khan, and A. Coomarasamy. 2006. Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med. Res. Methodol. 631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Zhang, H., J. Wang, J. Lei, M. Zhang, Y. Yang, Y. Chen, and H. Wang. 2007. PPE protein (Rv3425) from DNA segment RD11 of Mycobacterium tuberculosis: a potential B-cell antigen used for serological diagnosis to distinguish vaccinated controls from tuberculosis patients. Clin. Microbiol. Infect. 13139-145. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

[Supplemental material]

Articles from Clinical and Vaccine Immunology : CVI are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES