Abstract
Tuberculosis (TB) is a leading cause of morbidity and mortality worldwide. Global research efforts to improve TB control are hindered by insufficient understanding of the role that antibodies play in protective immunity and pathogenesis. This impacts knowledge of rational and optimal vaccine design, appropriate diagnostic biomarkers, and development of therapeutics. Traditional approaches for the prevention and diagnosis of TB may be less efficacious in high prevalence, remote, and resource-poor settings. An improved understanding of the immune response to the causative agent of TB, Mycobacterium tuberculosis (Mtb), will be crucial for developing better vaccines, therapeutics, and diagnostics. While memory CD4+ T cells and cells and cytokine interferon gamma (IFN-g) have been the main identified correlates of protection in TB, mounting evidence suggests that other types of immunity may also have important roles. TB serology has identified antibodies and functional characteristics that may help diagnose Mtb infection and distinguish between different TB disease states. To date, no serological tests meet the World Health Organization (WHO) requirements for TB diagnosis, but multiplex assays show promise for improving the sensitivity and specificity of TB serodiagnosis. Monoclonal antibody (mAb) therapies and serum passive infusion studies in murine models of TB have also demonstrated some protective outcomes. However, animal models that better reflect the human immune response to Mtb are necessary to fully assess the clinical utility of antibody-based TB prophylactics and therapeutics. Candidate TB vaccines are not designed to elicit an Mtb-specific antibody response, but evidence suggests BCG and novel TB vaccines may induce protective Mtb antibodies. The potential of the humoral immune response in TB monitoring and control is being investigated and these studies provide important insight into the functional role of antibody-mediated immunity against TB. In this review, we describe the current state of development of antibody-based clinical tools for TB, with a focus on diagnostic, therapeutic, and vaccine-based applications.
1 Introduction
Tuberculosis (TB) remains a global health crisis, primarily affecting low- and middle-income countries (LMICs). With the rise of COVID-19 and the associated disruptions to healthcare services in LMICs, the TB crisis has only worsened (). WHO estimates that 10.6 million people were infected with Mtb and 1.6 million died of TB in 2021 (). Given the continued and significant global health burden of TB, the need for improved diagnosis, prevention, and treatment of Mtb infection is increasingly urgent, particularly in resource poor settings.
While a spectrum of TB presentations exists, it typically presents as a pulmonary disease (). People with active pulmonary TB (PTB) produce airborne respiratory droplets through coughing and sneezing that contain Mtb bacteria. Inhalation of these infectious droplets can lead to Mtb infection and TB disease. Infectious droplets travel to the lower respiratory tract where Mtb encounters innate immune cells including alveolar macrophages (AMs), neutrophils, dendritic cells (DCs), and monocytes (). The AMs phagocytose Mtb in the lower airways and alveolar spaces, allowing Mtb to preferentially infect and replicate within them. Uptake by AMs provides Mtb with an intracellular niche to grow and replicate that is largely protected from extracellular immune mediators (like antibody and complement) (). However, active TB (ATB) is not always limited to the lungs and Mtb can disseminate to nearly any organ system including the lymph nodes, pleurae, gastrointestinal tract, skeleton, central nervous system, and the genitourinary tract (, ). This is termed extrapulmonary TB (EPTB), which accounts for ~15% of all Mtb infections (). Although it can occur in immunocompetent individuals, there is a much higher incidence of EPTB in individuals with comorbidities like human immunodeficiency virus (HIV) infection (). The pathogenesis of EPTB involves migration of Mtb into lymph nodes and eventually through the bloodstream to distal organs or tissues (). As such, EPTB may present with no evidence of pulmonary Mtb infection ().
The two primary outcomes that result from Mtb infection are early clearance of Mtb by the innate immune system, or latent persistence within lung granulomas (Figure 1). Innate immune clearance of Mtb occurs in a proportion of the human population, possibly due to a strong pro-inflammatory cytokine response and decreased recruitment of monocytes (, ). Individuals who cannot clear Mtb will go on to develop a latent TB infection (LTBI) (). In LTBI, an adaptive immune response develops. The adaptive immune response to Mtb is characterised by T cell priming and the presence of Mtb-specific CD4+ T cells that secrete the macrophage-activating cytokine interferon gamma IFN-γ (Figure 1) (). T cell priming occurs when infected DCs and macrophages present processed Mtb antigens to T cells in the lymph nodes (). Both B and T lymphocytes, as well as innate immune cells, contribute to the formation of lung granulomas. These contain Mtb in a non-replicating latent phase for months to years (). Development of ATB is estimated to occur in 5-15% of individuals infected with LTBI in the first few years ().
Figure 1
The interplay between Mtb and the host adaptive immune response is complex and may help determine the course of Mtb infection as well as the type of TB disease presentation (
Antibody-mediated immunity (AMI) against Mtb occurs despite its largely intracellular lifecycle, which partially shields mycobacteria from humoral mediators. There are, however, multiple instances during its progression where Mtb and its antigens are extracellular, including during the initial infection, within the necrotic tissue of granulomas, and during the death of Mtb-infected cells (
Figure 2

Potential functions of antibodies against Mtb. Antibodies may have an array of functions in the immune response against Mtb infection. The most well-known of these is neutralization of extracellular Mtb and secreted products via the antibody fragment antigen-binding (Fab) domain. Binding of antibody to Mtb may block entry of Mtb into host cells, aid in intracellular killing or control of replication, enhance phagocytosis by opsonizing Mtb, prevent the actions of secreted proteins and help prevent dissemination from the lungs (
There is significant heterogeneity in the human antibody response to Mtb, and the proportion of Mtb-infected individuals that make antibodies against Mtb antigens varies widely between studies (
Advancing our understanding of AMI during Mtb infection may provide new insights into the different TB disease states and may contribute to the development of clinical applications for Mtb-specific antibodies (Figure 3). This could include the discovery of novel antibody biomarkers to improve TB diagnosis or to aid in the identification individuals at risk of serious or progressive disease (
Figure 3

Outline of current research pathways and progress towards use of Mtb antibodies in a clinical setting. Created with BioRender.com.
2 Mtb antibodies as biomarkers in TB diagnosis
2.1 Existing TB diagnostics
Current methods for diagnosing TB in LMICs are limited in their sensitivity and cannot reliably distinguish different forms of TB (
Reliance on acid fast bacilli staining (AFB) of sputum for TB diagnosis is common in LMICs due to relative affordability, rapid turnaround, and accessibility (
The optimal biomarker test for TB would be simple, portable, rapid, and applicable to a broad range of Mtb-infected individuals, including those who are AFB negative (
2.2 Mtb antibodies as diagnostic biomarkers of ATB and LTBI
To date, the use of TB serodiagnostic tests has been contentious due to the poorer sensitivity and specificity of commercially available kits compared to conventional testing methods (
Current single antigen Mtb serodiagnostic tests have demonstrated low sensitivity and their development may be complicated by the heterogenous nature of the antibody response to human Mtb infection (
Table 1
| Type of test | Ab Isotype and Specificities | Sensitivity | Specificity | Reference |
|---|---|---|---|---|
| Single Specificity and Isotype | ||||
| ELISA | IgG Mce1A | PTB 79.5% | 84.4% | ( |
| ELISA | IgG PstS1 | PTB Smear Pos 29-82% | 96% | ( |
| ELISA | IgG PPE17 | LTBI 65-86% ATB 69-94% | 100% | ( |
| ELISA | IgG A60 | PTB 94% EPTB 84% | 92% | ( |
| Multiple Specificities | ||||
| Multiplex Microbead Assay | Rv3881c, PstS1, Rv0054, Rv3804c, HspX, Ag85b, Rv0129c, Rv1860, Rv1980c, Rv3874, Rv0831c, Rv2875, Rv3841, Rv1926c, ESAT6, Rv2878c | PTB Smear Pos 92-93% PTB Smear Neg 88% | 79% | ( |
| Multiplex Microbead Assay | ESAT-6, CFP-10, HspX, MPT53, MPT63 | – | – | ( |
| Multiplex Microbead Assay | IgG: Ag85B, Ag85A, Ag85C, PstS1-P38, Rv3881, BfrB, Rv3873 and Rv2878c | ATB 90.6% | 88.6% | ( |
| ELISA | IgG: Rv3881, PstS1, HspX,Ag85b, Rv1860, Rv3874, Rv2875, Rv3841, Rv1926c, MEMH37Rv and Rv1984 | PTB Smear Pos 95% PTB Smear Neg 88% | 91% | ( |
| ELISA | IgG: Rv3871, Rv3876, and Rv3879 | PTB 79.53%, | 90.53% | ( |
| ELISA | IgG: CFP-10, CFP-21, ESAT-6, MPT-64 | PTB Smear Pos 52% PTB Smear Neg 43% | 97% | ( |
| ELISA | Rv0310c-E and Rv3425 | PTB Sputum Pos 87.30% | 73.68% | ( |
| Rv1255c-E and Rv3425 | PTB Sputum Neg 87.30% | 73.68% | ||
| ELISA | IgG 88-kDa protein, Ag85C, MPT32 | ATB Smear Pos 81% ATB Smear Neg 50% | 98% | ( |
| Protein Chip Array | IgG: LAM, 38-kDa, 16-kDa | ATB 93.1% | 77.3% | ( |
| Luciferase Immunoprecipitation | PstS1, Rv0831c, FbpA, EspB, bfrB, HspX and ssb | PTB 74% | 96% | ( |
| Lateral Flow Test | ESAT-6, CFP-10, Mtb8, Mtb48, MPB70, MPB83, HspX, PstS1, CFP10/ESAT-6 fusion, Acr1/MPB83 fusion | NHP PTB 90% | 99% | ( |
| Multiple Isotypes and/or Specificities | ||||
| ELISA | Anti-Tpx+L16 IgG, anti-Tpx IgG and anti-MPT64 IgA | ATB 95.2% | 97.6% | ( |
| ELISA | anti-LAM IgA, anti-LAM IgG, anti-Tpx IgG, anti-HSP16.3 IgG, anti-HSP20 IgA | ATB 81% | 94% | ( |
| anti-LAM IgA, anti-LAM IgG, anti-Tpx IgA, anti-Tpx IgG, anti-Apa IgM | LTBI 81% | 91.5% | ||
| ELISA | HspX IgG, IgA, IgM | ATB Smear Pos 83% | 93% | ( |
Comparison of different serodiagnostic test formats and approaches for diagnosing Mtb from the last two decades.
A lateral-flow POC test that detects antibodies against multiple Mtb antigens, including ESAT-6, CFP-10, HspX, and PstS (Table 1), in Mtb-infected non-human primates (NHPs) showed high sensitivity and specificity (90% and 99%) (
Multiplex assays using cytokines and other inflammatory biomarkers can also be used to diagnose ATB (
Control of LTBI is an important milestone in the WHO End TB Strategy as this population represents a significant global reservoir of TB (
The robust IgG1 response mounted against the Mtb growth-associated ESAT-6 and latency-associated MDP1 antigens may represent potential biomarkers in individuals with recent LTBI (
Furthermore, high levels of IgG against the Mce1A may also help differentiate LTBI from pulmonary ATB in both adults and children with a sensitivity of 79.5% and a specificity of 84.4% (
A multiplex approach may be necessary for TB serodiagnosis, as tests must account for the variability of the antibody response both within and between individuals during the course of Mtb infection (
3 Mtb antibody therapy and prophylaxis
3.1 Serum and IgG transfer prophylaxis for TB
Early studies suggest that TB prophylaxis, through passive infusion of Mtb antibodies prior to infection, may improve clinical outcome. Serum transfer trials from the late 1800s to early 1900s showed that patients with acute and localised TB had better outcomes following serum transfer than chronic cases (
Antibody-based therapies and prophylactics are important avenues for further inquiry. While complete prevention of Mtb infection was not observed, these studies show that antibody-based prophylactics have the potential to prevent severe TB disease. This may be especially relevant for individuals who are at high risk of developing severe TB, including people living with HIV. No prophylactic antibody studies have focused on treating TB in HIV coinfection, likely due to the complexity and limitations of modelling HIV in mice (
3.2 Mtb-specific monoclonal antibodies
A variety of monoclonal antibodies (mAbs) against major Mtb virulence factors, including PstS1, HBHA, HspX, LAM, MPB83 and AM, are protective in murine models of TB (
Differential glycosylation of the antibody fragment crystallizable (Fc) domain affects structure and flexibility, altering Fc receptor binding and effector functions (
Memory B cells isolated from humans with ATB have been used to generate protective mAbs. In one study 85 mAbs from a single patient were analysed for activity against both Mtb and BCG (
Two HspX-specific IgA mAbs (TBA61 and 2E9) were tested for prophylactic activity in mice, via either intranasal or intratracheal delivery (
A combined immunotherapy (CIT) strategy with IFN-γ or anti-IL-4 further enhanced TBA61 and 2E9 IgA protection in mice (
Anti-LAM and anti-AM mAbs have also been tested in murine models of TB (
The testing of Mtb-specific mAbs in murine models, particularly in CIT, indicates that this modality may be a valuable tool to investigate mechanisms of humoral immunity in human TB. These Mtb-specific mAbs have the potential to treat patients with compromised cellular immunity, shorten treatment regimens, reduce relapse after chemotherapy and provide an alternative for drug-resistant TB cases (
4 TB antibodies and vaccines
4.1 Antibody response to Bacille Calmette-Guérin
To date, BCG is the only approved vaccine for TB, but it has demonstrated limited protection against PTB and reactivation of LTBI in adults (
In addition to increasing Mtb-specific CMI, the BCG vaccine also induces mycobacterium (Mb)-specific antibody responses similar to those elicited by Mtb infection (
The antibodies elicited by BCG vaccination may be associated with TB protection in children but the lack of efficacy in adults suggests that BCG-induced antibodies do not provide sustained protection (
The efficacy of these TB booster vaccines in humans is not yet known, but they have been tested for safety and immunogenicity in phase I clinical trials (
4.2 Anti-Mtb antibody response to novel vaccines
There are a large number of TB vaccines in pre-clinical development and early clinical trials (
A phase IIb clinical trial for the viral vectored modified Vaccinia Ankara virus 85A (MVA85A) vaccine in BCG-vaccinated infants (aged 4-6 months) induced anti-Mtb antibodies that were associated with TB protection (
The anti-LAM and -AM IgG induced by three separate TB subunit vaccines may confer some protection against Mtb infection (
The live attenuated Mtb vaccine candidate MTBVAC is designed for newborns (
5 Conclusions
The WHO End TB Strategy outlines key pillars that are required to end TB by 2030, and one of these pillars is the development of new tools to diagnose, treat and manage TB (
Statements
Author contributions
SM: Conceptualization, Writing – original draft. CR: Conceptualization, Supervision, Writing – review & editing. JW: Conceptualization, Writing – review & editing. HV: Supervision, Conceptualization, Funding acquisition, Writing – review & editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The publication of this review was supported in part by a James Cook University Higher Degree by Research Enhancement Scheme grant.
Acknowledgments
All contributing authors and funding bodies are previously acknowledged.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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Summary
Keywords
tuberculosis, antibodies, immunotherapy, vaccines, mycobacteria, serodiagnostics, humoral immunity, monoclonal antibodies
Citation
McIntyre S, Warner J, Rush C and Vanderven HA (2023) Antibodies as clinical tools for tuberculosis. Front. Immunol. 14:1278947. doi: 10.3389/fimmu.2023.1278947
Received
17 August 2023
Accepted
27 November 2023
Published
14 December 2023
Volume
14 - 2023
Edited by
Shoor Vir Singh, GLA University, India
Reviewed by
Taru S Dutt, Colorado State University, United States
Kavita Rawat, Washington University in St. Louis, United States
Updates

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Copyright
© 2023 McIntyre, Warner, Rush and Vanderven.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Hillary A. Vanderven, hillary.vanderven@jcu.edu.au
Disclaimer
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