KEGG: vg:22220311
BA71V is a non-pathogenic laboratory-adapted ASFV strain that has been adapted to grow in Vero cells through numerous passages. Unlike its virulent parental strain BA71, BA71V is completely innocuous when administered to pigs, even at high doses of 10^7 PFU, and is incapable of inducing specific immune responses or causing infection . The adaptation process to Vero cells causes large deletions and mutations in the viral genome, which explains its attenuated nature . This makes BA71V an important reference strain for developing research tools such as antibodies against ASFV proteins.
Antibody responses to ASFV develop differently depending on the viral strain and dose. Pigs infected with virulent BA71 develop low but detectable anti-ASFV antibodies only at the time of death, which typically occurs within 9 days post-infection . In contrast, pigs inoculated with attenuated BA71ΔCD2 show detectable specific antibodies from day 7 post-infection, with antibody titers increasing to reach maximum levels by day 24 post-infection in most animals .
Interestingly, the correlation between antibody levels and protection is not absolute. Some pigs survive ASFV challenge despite having non-detectable specific antibodies at the time of challenge . This suggests that while antibodies contribute to protection, other immune mechanisms, particularly CD8+ T cell responses, are equally or more important for survival .
Several immunodominant ASFV antigens have been described as consistently recognized by sera from pigs surviving ASFV infection . While the search results don't enumerate these specific proteins, they reference previous studies that have identified immunodominant antigens (references 57-61 in the original paper) . When developing antibodies for research purposes, these immunodominant proteins would be the logical targets for generating detection tools with high specificity and sensitivity.
The deletion of the CD2v (EP402R) gene from the BA71 strain creates an attenuated virus (BA71ΔCD2) that induces strong humoral and cellular immune responses without causing disease . The CD2v protein has been shown to inhibit mitogen-dependent lymphocyte proliferation, which might contribute to the immunodominance patterns observed in surviving pigs after ASFV infection .
The absence of CD2v in BA71ΔCD2 appears to allow for broader and more cross-reactive T-cell responses, which explains why this virus can protect against heterologous ASFV strains . For antibody development, this suggests that targeting epitopes conserved between different ASFV strains, rather than strain-specific epitopes, might yield antibodies with broader research applications.
Several methodologies can be employed to evaluate the cross-reactivity of antibodies against different ASFV strains:
In vitro proliferation assays: CFSE proliferation assays using peripheral blood mononuclear cells (PBMCs) from immunized animals can demonstrate cross-reactive immune responses. In the case of BA71ΔCD2-immunized pigs, CD8+ T cells were capable of proliferating in response to both BA71 and E75 strains in vitro .
Challenge experiments: Cross-protection can be definitively demonstrated through challenge experiments with heterologous virus strains. BA71ΔCD2-immunized pigs were protected not only against the parental BA71 strain but also against heterologous E75 (genotype I) and Georgia 2007/1 (genotype II) strains .
Epitope mapping: While not explicitly mentioned in the search results, identifying conserved epitopes across different ASFV strains would be crucial for developing broadly reactive antibodies.
The search results suggest that different ASFV vaccine candidates induce distinct antibody and cellular immune response patterns. For example, BA71ΔCD2 induces cross-reactive CD8+ T cells that recognize both BA71 and E75 strains, while E75CV1 (a classically attenuated virus) induces an E75-restricted CD8+ T-cell repertoire .
To distinguish between antibody responses induced by different vaccine candidates, researchers could:
Analyze antibody titers using ELISA at different time points post-immunization
Evaluate the ability of antibodies to neutralize different ASFV strains
Characterize the epitope specificity of the antibodies generated
Assess the correlation between antibody responses and protection against challenge
Such analyses would provide insights into the qualitative differences between antibody responses induced by different vaccine candidates.
Based on the search results, several factors are crucial when designing experiments to evaluate antibody responses to ASFV:
Viral dose: Protection afforded by BA71ΔCD2 was dose-dependent, with higher doses (3.3 × 10^4 or 10^6 PFU) providing complete protection and lower doses (10^3 PFU) only partial protection .
Timing of sample collection: ASFV-specific antibodies appear as early as day 7 post-infection, but titers continue to increase, reaching maximum levels around day 24 post-infection .
Challenge virus selection: To evaluate cross-protection, challenges with heterologous ASFV strains are essential. BA71ΔCD2 provided protection against both genotype I (BA71, E75) and genotype II (Georgia 2007/1) strains .
Integration of cellular immunity assessment: Since protection does not perfectly correlate with antibody levels, parallel assessment of cellular immune responses, particularly CD8+ T cells, is important .
Control groups: Appropriate control groups, including unimmunized controls and groups immunized with different doses or different vaccine candidates, are essential for comparative analyses .
While the search results don't specifically address methods for isolating and characterizing ASFV-specific antibodies, they mention several techniques used to assess antibody responses:
ELISA: Used to detect and quantify ASFV-specific antibodies in pig serum .
Functional assays: Although not explicitly described for antibodies, functional assays (similar to the CFSE proliferation assay used for T cells) would be valuable for characterizing the biological activities of isolated antibodies.
For complete characterization, additional methods would likely include:
Antibody purification using protein A/G columns
Epitope mapping using peptide arrays
Neutralization assays to assess functional activity
Western blotting to determine protein specificity
Immunofluorescence to evaluate cellular localization of target antigens
The search results don't directly address antibody stability and storage, but they do discuss the genetic stability of the BA71ΔCD2 virus after multiple passages . By extension, similar methodological principles could be applied to monitoring antibody stability:
Regular functional testing: Periodically testing antibodies for their ability to bind to or neutralize target antigens.
Quality control measures: Implementing standardized protocols to assess antibody activity, specificity, and titer.
Storage condition optimization: Evaluating the impact of different storage conditions (temperature, additives, concentration) on antibody stability.
Degradation profiling: Monitoring potential degradation products using techniques such as size-exclusion chromatography or mass spectrometry.
The search results highlight a lack of perfect correlation between immune parameters measured in vitro and protection observed in vivo. Some pigs with high numbers of specific T cells succumbed to ASFV challenge, while others with non-detectable specific antibodies survived .
When interpreting such discrepancies, researchers should consider:
Multiple immune mechanisms: Protection against ASFV likely involves multiple immune mechanisms working in concert, rather than a single parameter .
Quality versus quantity: The functional quality of antibodies (e.g., their ability to neutralize the virus or mediate antibody-dependent cellular cytotoxicity) may be more important than their quantity.
Local versus systemic immunity: Measurements in peripheral blood may not accurately reflect immune responses at sites of viral replication.
Timing of measurements: The kinetics of immune responses may be critical, with protection depending on rapid recall responses rather than pre-existing antibody levels.
While the search results don't explicitly discuss statistical methods, they present data that would typically be analyzed using:
Survival analysis: Kaplan-Meier curves and log-rank tests to compare survival between different experimental groups .
Correlation analysis: To quantify relationships between antibody levels, T cell responses, and protection outcomes .
Multivariate analysis: Given the complexity of immune responses, multivariate analyses considering multiple immune parameters simultaneously would be more informative than univariate analyses.
Dose-response modeling: The dose-dependent protection observed with BA71ΔCD2 could be analyzed using dose-response models to identify optimal dosing regimens .
These statistical approaches would help identify immune correlates of protection and optimize vaccine candidates or antibody-based interventions.
| Virus | Cells used for in vitro amplification | No. of intramuscular doses (dose, PFU) | Clinical outcome (mortality rate, %) | ASFV-specific immune response | % protection after BA71 lethal challenge |
|---|---|---|---|---|---|
| BA71 | PAMs | 1 (100) | Acute ASF (100) | −/+ | NP |
| BA71V | Vero cells | 2 (10^7) | Asymptomatic (0) | None | 0 |
| BA71-Cos | COS-1 cells | 1 (100) | Acute ASFV (100) | −/+ | NP |
| BA71ΔTKv220i | COS-1 cells | 2 (10^7) | Asymptomatic (0) | None | 0 |
| BA71ΔTK | COS-1 cells | 2 (10^7) | Asymptomatic (0) | None | 0 |
| BA71ΔCD2 | COS-1 cells | Various (10^3-10^6) | Asymptomatic (0) | Strong | 100 |
Based on the research presented, several emerging technologies could enhance ASFV antibody research:
Single-cell antibody sequencing: To identify and characterize protective antibodies from pigs that survive ASFV infection.
Structural biology approaches: To define the three-dimensional structures of ASFV proteins and their interactions with antibodies.
Antibody engineering: To enhance the cross-reactivity or functional properties of ASFV-specific antibodies.
Systems serology: To comprehensively characterize antibody responses beyond simple binding or neutralization.
In silico epitope prediction: To identify conserved epitopes across different ASFV strains that could be targets for broadly reactive antibodies.
While not directly addressed in the search results, the cross-protective capabilities of BA71ΔCD2 suggest that heterologous prime-boost strategies might be effective for inducing broadly reactive antibody responses . By exposing the immune system to conserved epitopes in different contexts, such strategies might focus the antibody response on these shared elements rather than strain-specific features.
The ability of BA71ΔCD2 to induce CD8+ T cells that recognize both BA71 and E75 strains suggests that it exposes the immune system to conserved T cell epitopes . A similar principle might apply to B cell epitopes and the resulting antibody responses.