ATB Antibody

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Description

Definition and Biological Role

ATB antibodies are immunoglobulins produced during active tuberculosis infection. Unlike latent TB infection (LTBI), ATB is marked by elevated antibody titers against Mtb antigens, which serve as biomarkers for disease progression and resolution . Key characteristics include:

  • Structural features: IgG1 and IgG3 subclasses dominate, with Fc glycosylation patterns (e.g., digalactosylation) shifting post-treatment .

  • Functional roles: Antibodies tag Mtb for phagocytosis, neutralize virulence factors, and modulate inflammatory responses .

Antigen Targets of ATB Antibodies

ATB antibodies target antigens expressed during active infection. Key antigens include:

AntigenFunctionDiagnostic Utility
PstS1Phosphate transporter proteinCorrelates with bacterial burden
HspXHeat shock proteinDistinguishes ATB from LTBI
LAMLipoarabinomannan glycolipidMarker of disease severity
Ag85A/BMycolyltransferase enzymesHigh sensitivity in multiplex assays
Rv2435CAdenylyl cyclaseDiscriminatory in HIV coinfection

Diagnostic Applications

ATB-specific antibody profiles enable differentiation from LTBI and other respiratory diseases. Key findings include:

Table 1: Diagnostic Performance of Antibody-Based Assays

Assay TypeAntigen PanelSensitivitySpecificity
Multiplex ELISALAM, Tpx, HspX, Ag85A95%98%
Lateral flowESAT-6, CFP-10, HspX, PstS188–95%89–91%
FcγR-binding assayRv2435C, Rv3583, Rv152892% (HIV+)94% (HIV+)

Therapeutic Potential

Monoclonal antibodies (mAbs) against Mtb antigens show promise:

  • p4-36 and p4-163: Target PstS1; reduce lung bacterial burden by 50% in murine models .

  • Fc-mediated effector functions: Enhanced phagocytosis and complement activation correlate with clinical improvement .

Research Findings

  • Antibody glycosylation: ATB is marked by inflammatory glycans (e.g., agalactosylated IgG-Fc), which normalize post-treatment (G2 digalactosylation) .

  • HIV coinfection: Alters FcγR-binding profiles, with distinct antigen targets (e.g., Rv1508 IgM) improving diagnostic accuracy .

  • Longitudinal studies: Antibody titers against HspX and LAM decline with successful therapy, serving as treatment response markers .

Challenges and Future Directions

  • Heterogeneity: Antigen expression varies across Mtb strains, complicating universal assays .

  • Functional validation: Few mAbs have been tested in humans, necessitating clinical trials .

  • Resource development: Databases like YAbS (2,900+ therapeutic antibodies) and TABS (5,400+ antibodies) track clinical progress but lack ATB-specific entries .

Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
ATB antibody; At1g55590 antibody; F20N2.2F-box protein At-B antibody
Target Names
ATB
Uniprot No.

Q&A

What are the key antibody targets that distinguish ATB from LTBI?

Several Mycobacterium tuberculosis (Mtb) antigens have demonstrated potential for discriminating between active disease and latent infection through differential antibody responses. Current research shows that membrane-associated heat-shock protein alpha crystallin (Acr/Rv2031c/HspX) is particularly important as it sustains bacilli during latent or dormant infection phases . Other significant targets include ESAT-6, CFP-10, and novel antigens such as Rv2435.C, Rv3583, and Rv1528 .

In non-human primate models, antibodies against ESAT-6 and CFP-10 were consistently detected in subjects with LTBI, while subjects with ATB had detectable antibodies against these antigens plus HspX, suggesting HspX antibodies may help differentiate ATB from LTBI . This distinction has critical implications for developing more targeted diagnostic approaches that can accurately determine infection status.

How do antibody levels and isotypes vary between ATB and LTBI patients?

Research indicates significant variations in antibody responses between different TB disease states:

Antibody TypeActive TBLatent TB InfectionSignificance
Anti-Acr IgMLowerHigherPotential LTBI biomarker
Anti-Acr IgAHigherLowerAssociated with active disease
Anti-MtM IgMVariesHigher in LTBICan discriminate between LTBI and ATB
Anti-Acr/Anti-MtM RatioLowerHigherDeclines with infection severity

The ratio of anti-Acr to anti-MtM antibodies notably declines with increasing severity of infection, consistent with the excessive production of Acr by dormant bacilli and its reversion to normal levels upon resumption of exponential growth . Some studies have found that IgA and IgG levels are higher in patients than in contacts or healthy subjects, while others report that children with TB have higher IgG and IgM levels compared to healthy children .

How do T cell and antibody responses to Acr/HspX correlate in TB infection?

The relationship between T cell and antibody responses to Acr/HspX reveals important immunological patterns. Persons with LTBI demonstrate stronger T cell responses to Acr compared to those with active TB disease, and this response is not influenced by BCG vaccination . Healthcare workers (HCWs) with varying levels of Mtb exposure show a significant correlation (r = 0.60, P <0.0001) between T cell responses to Acr and MtM .

Although both T cell and antibody responses coexist in a small proportion of subjects—particularly those with elevated exposure to infection—a significantly higher proportion of healthcare workers show positive responses to MtM (92%) compared to Acr (38.5%) . This suggests that MtM could serve as a more sensitive marker of LTBI, potentially reflecting the high prevalence of LTBI in TB-endemic regions like India .

What methods are used to measure antibody avidity in ATB versus LTBI research?

Antibody avidity measurements represent an important approach for distinguishing between ATB and LTBI. Avidity index (AI) is typically determined using chaotropic agents like urea that disrupt antibody-antigen binding, with higher AI values indicating stronger binding . In research settings, scientists compare the optical density (OD) values of antibody-antigen complexes treated with and without urea to calculate avidity.

Studies examining IgG avidity against Mtb 'cell-surface' antigens have yielded contradictory results. One study by Perley et al. showed lower avidity in ATB patients versus LTBI, while another by Arias-Bouda et al. demonstrated higher avidity in ATB patients . In a direct comparison, researchers found that median avidity in ATB (AI = 41.75) was lower than in occupationally exposed healthcare workers (AI = 54.5), though this difference wasn't statistically significant (P = 0.1903) . These variations likely result from heterogeneity in patient antibody responses and differences in avidity determination protocols .

How are multiplex assays being developed for TB diagnosis using antibody profiles?

The development of multiplex assays represents a significant advancement in TB diagnostics. These assays simultaneously detect antibodies against multiple Mtb antigens to improve diagnostic accuracy. Research indicates that combining specific antibody targets can substantially enhance both sensitivity and specificity:

Multiplex ApproachSensitivitySpecificityKey Components
Combined Cytokine & Antibody Assay91.03%92.59%I-309, IL-8, MIG + IgG against Ag14-16kDa, Ag32kDa, Ag38kDa, Ag85B
Biomarker Combination Assay95%88.5%MTP64 IgA, Tpx IgA + NCAM-1, vitronectin, CFH, ferritin, A2M
Multiplex IgG Detection88-95%88.6-91%Multiple Mtb-specific IgGs

These multiplex approaches demonstrate significant advantages over single biomarker assays, with particular benefits for diagnosing smear-negative ATB cases that might be missed by conventional methods . Importantly, some multiplex formats have shown no cross-reactivity with BCG vaccination or non-tuberculous mycobacterium species, making them potentially valuable in TB-endemic regions where BCG vaccination is common .

How do Fcγ receptor binding profiles contribute to distinguishing ATB from LTBI?

Recent research has revealed that while Mtb-specific antibody levels alone cannot reliably discriminate between TB disease states, Fcγ receptor binding profiles in combination with antibody levels can distinguish ATB from LTBI, even in HIV-positive individuals . This approach represents a significant advancement in understanding the functional aspects of antibody responses in TB.

The discriminatory parameters enriched in ATB include high levels of Rv2435.C IgG1 and increased binding of Rv3583, Rv1528, and LAM IgG1 to specific Fcγ receptors (FcγRIIAR, FcγRIIB, and FcγRIIIAV respectively) . These findings suggest that the functional properties of antibodies—not just their quantity—play a crucial role in TB disease progression and may provide important diagnostic information.

What are optimal study designs for evaluating antibody-based TB diagnostic candidates?

Robust study design is critical for evaluating antibody-based TB diagnostics. Research protocols should include determination of both antibody and T cell responses in the same study population to enable fair evaluation of these responses as potential biomarkers . Studies should incorporate diverse subject groups, including healthcare workers with different levels of TB exposure, active TB patients with varying disease severity, and appropriate healthy controls .

Assessment of multiple antibody isotypes is essential, as different isotypes demonstrate varying diagnostic value . Protocols should evaluate both sensitivity and specificity, including testing for cross-reactivity with non-tuberculous mycobacterium species and BCG vaccination . Comparative analysis with conventional tests like interferon-gamma release assay (IGRA) and TB culture provides important benchmark data .

Longitudinal studies that track antibody responses over time can provide valuable insights into how these responses evolve during disease progression or treatment, potentially identifying predictive biomarkers for disease reactivation or treatment response.

How should researchers address confounding factors in ATB antibody studies?

Several critical confounding factors must be addressed in ATB antibody research:

Controlling for these factors through careful study design and statistical analysis is crucial for generating reliable and reproducible findings in this complex field.

How do researchers explain contradictory findings in ATB antibody research?

Contradictory findings regarding antibody responses in TB present significant interpretive challenges. Several factors contribute to these inconsistencies:

The heterogeneity in antibody responses among TB patients is well-documented and may reflect variations in disease severity, stage of progression, or individual immune responses . Methodological differences across studies, including variations in antigen preparation, detection techniques, and avidity determination protocols, further complicate comparisons .

Population differences also play a role, as genetic factors, exposure histories, and environmental conditions vary across study cohorts . The dynamic nature of the host-pathogen interaction during different phases of TB infection contributes to temporal variations in antibody profiles that may not be captured in cross-sectional studies .

Why do anti-Acr antibody levels sometimes appear lower in ATB than in LTBI?

The observation that anti-Acr IgG levels are sometimes lower in active TB than in LTBI has important biological implications. Acr (alpha crystallin) is believed to sustain bacilli during the latent or dormant phase of infection and is abundantly produced by dormant bacilli . During active disease, Mtb transitions from dormancy to active replication, potentially reducing Acr expression and consequently anti-Acr antibody levels .

This pattern aligns with observations that the proportion of subjects showing a high ratio of anti-Acr to anti-MtM antibodies declines with increasing infection severity . Similarly, T cell responses to Acr show an inverse relationship with infection severity, with strongest responses in latently infected individuals and significantly lower responses in TB patients .

These findings suggest that monitoring the ratio of anti-Acr to anti-MtM antibodies could potentially serve as a biomarker for LTBI reactivation, as a declining ratio might signal the transition from latent to active disease .

What are promising applications of ATB antibody research beyond diagnostics?

Beyond diagnostics, ATB antibody research shows promising therapeutic and prophylactic potential. Early serum transfer trials from the late 19th to early 20th centuries demonstrated that patients with acute and localized TB experienced improved outcomes following serum transfer, including reduced clinical symptoms and bacterial load .

Recent animal studies have revitalized interest in antibody-based interventions. Purified human anti-AM IgG from asymptomatic individuals with LTBI, when infused into mice before Mtb challenge, led to greater reduction in lung colony forming units compared to IgG from pulmonary TB patients . Similarly, intratracheal administration of total human IgG before Mtb challenge reduced CFU in treated mice compared to untreated controls .

Polyclonal human IgG specific for mycobacterial surface proteins has shown protective effects in murine TB models when administered before Mtb challenge . These findings suggest that highly Mtb-exposed humans may generate surface-directed antibodies capable of preventing active TB and possibly LTBI, opening new avenues for immunotherapy development .

How might antibody-based approaches complement cell-mediated immunity research in TB?

Rather than viewing these as separate immune branches, research increasingly suggests they work cooperatively. Multiple independent studies indicate that cell-mediated and antibody-mediated immunity collaborate to protect against Mtb infection, inhibit bacterial growth, and reduce disseminated TB disease .

Future research should investigate these synergistic interactions, potentially leading to comprehensive immunotherapeutic approaches that enhance both arms of the adaptive immune response. Combined diagnostic approaches that assess both antibody profiles and T-cell responses may provide more accurate determination of infection status and disease risk than either approach alone .

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