HLA-B antibodies recognize epitopes on HLA-B molecules, which are expressed on most nucleated cells and antigen-presenting cells . These antibodies can arise from prior exposures, such as blood transfusions, pregnancies, or transplants . Their detection is critical in transplant medicine, as donor-specific HLA-B antibodies (DSAs) are linked to graft rejection .
Mechanism: HLA-B molecules present endogenous peptides to CD8+ T cells, enabling immune surveillance . Antibodies against HLA-B disrupt this process, triggering complement activation or antibody-dependent cellular cytotoxicity .
HLA-B antibodies are strongly associated with kidney transplant rejection:
A study of 4,690 kidney transplant recipients found that 47% of clinically relevant donor epitope-specific antibodies (DESAs) targeted HLA-B .
Patients with HLA-B DSAs had a 32% long-term graft survival rate compared to 60% in non-DSA cases .
| Parameter | HLA-B Antibody Impact | Source |
|---|---|---|
| Graft Survival (Deceased Donor) | 32% (vs. 60% in non-DSA patients) | |
| Hazard Ratio for Graft Loss | 2.45 (95% CI: 1.84–3.25) in deceased donors |
Carbamazepine: HLA-B*15:02 carriers exhibit severe hypersensitivity (e.g., Stevens-Johnson syndrome) .
Allopurinol: HLA-B*58:01 is linked to life-threatening skin reactions .
HIV: HLA-B57:01 and HLA-B27 are associated with slower AIDS progression, while HLA-B*35 correlates with rapid progression .
Malaria: HLA-B*53 confers protection against severe malaria in West African populations .
HLA-B*15:01 is strongly associated with asymptomatic SARS-CoV-2 infection (OR = 2.40–8.58) . Pre-existing T cell immunity cross-reactive with seasonal coronaviruses underpins this protection .
| Cohort | HLA-B*15:01 Carrier Frequency | Odds Ratio (Asymptomatic vs. Symptomatic) |
|---|---|---|
| Discovery (n=1,428) | 20% vs. 9% | 2.40 (P = 5.67 × 10⁻⁵) |
| UK Replication | 17% vs. 7% | 3.56 (P = 0.02) |
HLA-B surface expression varies by allele and cell type:
Lymphocytes: HLA-B08:01 shows high stability, while HLA-B07:02 and HLA-B*35:01 exhibit lower expression .
Monocytes: HLA-B*51:01 expression increases significantly compared to lymphocytes, altering immune receptivity .
| HLA-B Allele | Relative Expression (Lymphocytes) | Stability (Half-Life) |
|---|---|---|
| HLA-B*08:01 | High | >24 hours |
| HLA-B*07:02 | Low | <12 hours |
Transplant Screening: Luminex bead assays and epitope-based analyses improve DSA detection .
Pharmacogenomics: HLA-B genotyping (e.g., HLA-B*15:02 for carbamazepine) mitigates drug hypersensitivity risks .
Vaccine Development: HLA-B-restricted epitopes are targets for HIV and SARS-CoV-2 vaccines .
CSB-PA15089A0Rb is a polyclonal antibody targeting HLA-B, developed in rabbits using recombinant human HLA-B protein (amino acids 25-308) as the immunogen. This HLA-B antibody undergoes protein G affinity chromatography purification, achieving a purity level of 95%.
This unconjugated IgG antibody has been validated for recognizing human HLA-B protein in ELISA, Western blotting (WB), Immunohistochemistry (IHC), and Immunofluorescence (IF) applications. It serves as a valuable tool for investigating the functional roles of HLA-B protein within various environmental contexts.
HLA-B is a member of the human leukocyte antigen class I molecules, also sometimes referred to as HLA-B27, and is a protein that plays a vital role in the immune system . It functions as a critical component of the adaptive immune response by presenting peptide antigens to CD8+ T cells, thus inducing immunity against infections and cancers . The HLA-B protein sits on the cell surface where it contains a groove that holds a fragment of a protein chain (peptide) from inside the cell, enabling the immune system to distinguish between healthy and diseased cells . In healthy cells, these peptides derive from normal proteins, while in diseased or infected cells, the peptides may come from abnormal or foreign proteins, such as those encoded by viruses, thereby triggering immune responses that lead to the elimination of the cell . This peptide presentation function is fundamental to self/non-self discrimination and targeted immune responses.
HLA-B exhibits greater polymorphism compared to other HLA class I molecules, contributing to its diverse range of peptide-binding specificities and immunological functions. While all HLA class I molecules (HLA-A, HLA-B, and HLA-C) share similar structures and functions in presenting peptides to T cells, HLA-B shows distinct expression patterns across different cell types . Research demonstrates that certain HLA-B allotypes have significantly different cell surface expression levels and half-lives compared to other HLA class I molecules, with these differences being cell-type dependent . For example, in lymphocytes, HLA-B*08:01 exhibits both high expression levels and long half-life, while allotypes that bind peptides with proline at position 2 show lower expression . Interestingly, these expression and stability hierarchies can be reversed or significantly altered in monocytes compared to lymphocytes, suggesting that antigen acquisition pathways influence HLA-B surface expression in a cell-type specific manner . These unique properties of HLA-B contribute to its distinctive role in immune surveillance and response.
HLA-B allotypes are primarily categorized into two major serotypes: HLA-Bw4 and HLA-Bw6, based on sequence differences at positions 77 and 80-83 of the heavy chain that determine the presence of either the Bw4 or Bw6 epitope . This categorization has functional significance as these serotypes interact differently with immune receptors, particularly in natural killer (NK) cell responses where HLA-Bw4 allotypes constitute a functionally distinct group from HLA-Bw6 . Common HLA-Bw6 alleles include HLA-B07:02, HLA-B08:01, HLA-B15:01, HLA-B18:01, HLA-B35:01, and HLA-B40:01, while prominent HLA-Bw4 alleles include HLA-B13:02, HLA-B27:05, HLA-B37:01, HLA-B44:02, HLA-B51:01, and HLA-B57:01 . These different allotypes exhibit varying peptide-binding preferences, with some allotypes favoring specific amino acid residues at anchor positions. For example, certain HLA-B allotypes specifically prefer peptides with proline at position 2, a preference that can affect antigen processing and presentation efficiency through the transporter associated with antigen processing (TAP) .
Several methodological approaches exist for HLA-B allele detection, each with distinct advantages for research applications. PCR-based genotyping methods are widely used for detecting specific HLA-B alleles, such as HLA-B*57:01, which is clinically relevant for predicting hypersensitivity reactions to abacavir in HIV-1-infected patients . These molecular techniques provide high specificity and can be optimized for in-house screening protocols, making them accessible for research laboratories . Flow cytometry represents a complementary approach that detects HLA-B protein expression rather than the gene, allowing researchers to assess actual surface expression levels across different cell populations . For broader characterization of HLA-B polymorphisms, Next Generation Sequencing (NGS) platforms like MiSeqDx offer comprehensive genotyping across multiple alleles simultaneously . When studying expression variations, researchers often employ antibodies specific to HLA-Bw4 or HLA-Bw6 serotypes, though it's important to consider binding affinity variations across different alleles within each serotype group . For precise quantification, Luminex bead-based assays allow comparative binding studies of HLA-B-specific antibodies to various HLA class I alleles .
Research has revealed substantial cell type-specific differences in HLA-B expression patterns, with particularly notable variations between lymphocytes and monocytes. Studies demonstrate that certain HLA-B allotypes display significantly different expression levels between these cell populations, with some alleles showing inversions in their relative expression hierarchies . For instance, HLA-B*08:01 exhibits high expression in lymphocytes but different patterns in monocytes, while alleles that bind peptides with proline at position 2 show low expression in lymphocytes but enhanced expression in monocytes . These cell-specific expression differences appear related to variations in antigen acquisition pathways and intracellular HLA class I pools, with monocytes displaying larger intracellular reservoirs of HLA class I than lymphocytes . The mechanisms underlying these cell-specific variations likely involve differences in peptide loading complex (PLC) components that mediate quality control during HLA-B assembly. The efficiency of peptide loading and the stability of the resulting peptide-HLA-B complexes appear to be influenced by both allele-specific factors and cell-type dependent processing machinery, ultimately affecting surface expression patterns .
The stability and half-life of HLA-B molecules at the cell surface are governed by multiple factors including peptide binding affinity, allotype-specific structural features, and cell type-specific processing mechanisms. Research has established clear hierarchies in HLA-B stability, with certain allotypes demonstrating significantly longer half-lives than others . For example, HLA-B*08:01 exhibits both high expression levels and extended half-life in primary human lymphocytes, representing the high end of measured HLA-B stability . The quality control mechanisms mediated by the peptide loading complex (PLC) significantly impact stability by ensuring the cell surface expression of stable peptide-HLA class I complexes . Peptide binding characteristics play a crucial role, with low-affinity peptides generally resulting in less stable HLA-B complexes. The specific preferences of different HLA-B allotypes for certain peptide motifs also influence stability, as seen with allotypes that bind peptides containing proline at position 2, which are disfavored by the transporter associated with antigen processing (TAP) and often show lower expression and potentially altered stability . Interestingly, these stability differences can be dramatically altered in different cell types, suggesting that cell-specific factors modulate the peptide repertoire and resulting HLA-B stability .
Selecting appropriate antibodies for HLA-B detection requires careful consideration of allotype specificity and binding characteristics. For broad detection of HLA-B molecules within the Bw6 serotype group, the One Lambda anti-Bw6 antibody has demonstrated relatively invariant binding across multiple HLA-Bw6 alleles, making it suitable for expression variation assessments . When studying HLA-Bw4 allotypes, the One Lambda anti-Bw4 antibody is useful, though researchers should be aware that it shows considerable binding variability across different HLA-Bw4 alleles . This antibody specifically recognizes HLA-B alleles within the HLA-Bw4 group and does not bind HLA-Bw6 alleles or HLA-C alleles, though it does cross-react with five specific HLA-A alleles (A23:01, A24:02, A24:03, A25:01, A*32:01) that contain similar Bw4-like sequence motifs . For pan-HLA class I detection, the W6/32 antibody provides a reliable standard, allowing normalization and comparison across different samples and experimental conditions . When designing experiments to compare expression levels across different HLA-B allotypes, researchers should validate antibody binding specificities using Luminex bead-based assays or similar platforms to account for potential variations in binding affinities toward the different HLA-B allotypes being studied .
Distinguishing between surface and intracellular pools of HLA-B molecules requires specialized methodological approaches that preserve the integrity of cellular compartments. Flow cytometry protocols can be optimized to differentiate these pools by comparing staining patterns in permeabilized versus non-permeabilized cells. Non-permeabilized staining with HLA-B-specific antibodies (anti-Bw4 or anti-Bw6) will detect only surface-expressed molecules, while permeabilization before staining allows detection of both surface and intracellular pools . Research has shown that monocytes display larger intracellular pools of HLA class I than lymphocytes, which may contribute to the differential expression patterns observed between these cell types . Confocal microscopy with fluorescently-labeled antibodies provides spatial resolution to visualize the distribution of HLA-B molecules in different cellular compartments. For quantitative assessment of surface versus intracellular distribution, researchers can employ methods like subcellular fractionation followed by Western blotting or ELISA. When tracking HLA-B molecules during biogenesis and trafficking, pulse-chase experiments combined with immunoprecipitation can reveal the kinetics of movement between cellular compartments, from the endoplasmic reticulum through the Golgi to the cell surface .
Research has demonstrated significant associations between specific HLA-B alleles and vaccination response, with particular focus on COVID-19 vaccines in recent studies. A notable finding reveals that individuals carrying the HLA-B15 allele exhibit favorable immune responses to COVID-19 vaccines, showing pronounced increases in anti-SARS-CoV-2 prototype neutralizing antibody (Nab) levels following vaccine booster administration . Both XGBoost and Boruta analysis confirmed that HLA-B15 carriers presented augmented anti-prototype Nab levels, particularly at three and six months following booster vaccination compared to pre-booster levels . This phenomenon was observed with both the CanSino Ad5-nCoV vaccine and the Sinovac CoronaVac inactivated vaccine, suggesting a consistent genetic effect across different vaccine platforms . Interestingly, the research also unveiled a paradoxical relationship wherein HLA-B15 individuals, despite having stronger vaccine-induced antibody responses, displayed significantly lower concentrations of anti-SARS-CoV-2 prototype Nab following breakthrough infection with the BA.5.2 variant and experienced more severe clinical manifestations compared to non-HLA-B15 individuals . These findings indicate complex interactions between HLA-B alleles, vaccine-induced immunity, and breakthrough infection dynamics.
HLA-B57:01 has been established as a critical genetic marker for predicting hypersensitivity reactions to abacavir, a nucleoside reverse transcriptase inhibitor used in HIV-1 treatment regimens. Due to the strong correlation between this allele and potentially severe hypersensitivity reactions, accurate screening methods are essential for research involving abacavir . PCR-based genotyping represents an effective approach for HLA-B57:01 detection, with various protocols optimized for in-house screening to improve accessibility and cost-effectiveness . These molecular methods typically target specific sequence variations that distinguish HLA-B57:01 from other HLA-B alleles. Flow cytometry offers a complementary approach that detects the expressed protein rather than the gene, providing additional verification and potentially revealing expression-level variations . For comprehensive characterization, Next Generation Sequencing (NGS) technologies provide high-resolution typing of HLA-B alleles, though this approach may be more resource-intensive than targeted screening methods . When implementing HLA-B57:01 screening in research protocols, validation against reference standards is crucial to ensure accuracy, with some studies employing multiple methods in parallel to maximize detection reliability .
Investigating HLA-B's influence on T cell receptor (TCR) repertoire development presents several methodological challenges requiring sophisticated experimental approaches. The extreme polymorphism of HLA-B necessitates precise HLA typing of research subjects, ideally using high-resolution techniques like Next Generation Sequencing to accurately identify specific alleles and potential novel variants . When designing experiments to track TCR repertoire development in relation to HLA-B restrictions, researchers must account for the confounding influence of other HLA molecules present in the same individual, potentially using HLA-transgenic mouse models expressing single human HLA-B alleles to isolate allele-specific effects. Single-cell RNA sequencing combined with TCR sequencing enables correlation between TCR clonotypes and their transcriptional states, revealing how specific HLA-B allotypes might shape T cell development and function. Analyzing the complex interaction between HLA-B expression levels (which vary by cell type and allele) and TCR repertoire selection requires multiparametric flow cytometry or mass cytometry to simultaneously assess multiple parameters . For functional validation of HLA-B-restricted TCR interactions, researchers can employ techniques like tetramer staining with specific peptide-HLA-B complexes, though the design and production of these reagents may be technically challenging due to variations in peptide binding and complex stability across different HLA-B allotypes .