srd-19 Antibody

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Description

Clarification of Terminology

The term "SRD-19 Antibody" does not appear in indexed biomedical literature or clinical trial registries. Potential interpretations include:

  • Typographical Error: Possible confusion with antibody codes (e.g., C118, C022, S309) or receptor-binding domain (RBD) variants (e.g., E484K).

  • Hypothetical/Proprietary Name: Unpublished or experimental antibody not yet disclosed in public databases.

  • Abbreviation Ambiguity: "SRD" may refer to unrelated concepts (e.g., Single Radial Diffusion test or product codes like SRD-C52H3 ).

Related Antibody Research: Insights from SARS-CoV-2 Studies

While "SRD-19" remains undefined, the following antibodies exhibit analogous mechanisms or structural features:

Table 1: Notable SARS-CoV-2 Antibodies with Neutralizing Activity

Antibody CodeTarget DomainKey FeaturesNeutralization EfficacyCross-ReactivitySource
C118RBD (Class 4)Binds conserved cryptic epitopeBroad sarbecovirus neutralization (IC₅₀: ~1–100 ng/mL)SARS-CoV, SARS-CoV-2 variants
C022RBD (Class 4)ACE2-binding site occlusionPotent neutralization (IC₅₀: ~1–100 ng/mL)SARS-CoV-2 variants, zoonotic sarbecoviruses
S309RBD (Class 3)Cross-reactive bindingNeutralizes SARS-CoV-1 and SARS-CoV-2 (IC₅₀: 16–120 ng/mL)Limited to SARS clade
BIOLS56RBD (Class 8)Non-RBM epitope recognitionNeutralizes SARS-CoV-2 variants (Δ, PT)Limited to SARS-CoV-2

Key Mechanisms

  • ACE2 Blockade: Class 2 and 3 antibodies (e.g., C144) directly compete with ACE2 for RBD binding, preventing viral entry .

  • Cryptic Epitope Targeting: Class 4 antibodies (e.g., C118, C022) bind conserved regions outside the ACE2 interface, enabling broad cross-reactivity .

  • Structural Insights: Crystallography reveals H-chain dominance in RBD interactions, with CDR3 loops forming critical hydrogen bonds/salt bridges (e.g., BIOLS56 binds Δ RBD via H-CDR3 residues Y109/T113 ).

Antibody Efficacy in Vulnerable Populations

  • B-Cell Depletion Therapies: Rituximab and belimumab significantly reduce vaccine-induced antibody responses in patients with systemic rheumatic diseases. Lower B-cell counts correlate with diminished seroprevalence and neutralizing capacity .

  • Vaccine Dose Optimization: Third primary immunizations improve seroprevalence in antibody-deficient patients (e.g., 61.4% → 76.0% anti-spike IgG after third dose) but remain suboptimal compared to healthy controls .

Table 2: Antibody Response Dynamics in COVID-19

Parameter8 Months Post-InfectionPost-Vaccination (2 Doses)Post-Third Dose
IgG+96.4% 61.4% (antibody-deficient patients) 78.4% (Wuhan spike), 67.5% (Omicron spike)
NeutralizationCorrelates with disease severity, CRP levels Depends on B-cell recovery post-ISA Enhanced cross-reactivity to variants

Future Directions

  • Broadly Neutralizing Antibodies: Prioritizing Class 4 RBD-targeting antibodies (e.g., C118) for pan-sarbecovirus protection .

  • Biomarker-Driven Therapy: B-cell count monitoring to optimize timing of vaccination in immunosuppressed patients .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
srd-19; F53F1.11; Serpentine receptor class delta-19; Protein srd-19
Target Names
srd-19
Uniprot No.

Target Background

Database Links

KEGG: cel:CELE_F53F1.11

UniGene: Cel.33027

Protein Families
Nematode receptor-like protein srd family
Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

What are the primary antibody types produced in response to SARS-CoV-2 infection?

The human immune response to SARS-CoV-2 infection involves the production of several antibody isotypes, primarily IgG, IgA, and IgM. These antibodies target various viral components, with the spike (S) protein and its receptor-binding domain (RBD) being the most immunogenic targets. Serological studies have demonstrated that IgG antibodies against the S protein and RBD are detectable in over 90% of infected individuals by 10-11 days after symptom onset .

Most neutralizing antibodies target the RBD, which mediates viral entry through interaction with the host ACE2 receptor. When designing research studies to characterize antibody responses, it's essential to include assays that can differentiate between these antibody classes and their specific targets to fully understand the humoral immune response dynamics .

What is Antibody Dependent Enhancement (ADE) and how can it be studied in SARS-CoV-2 research?

Antibody Dependent Enhancement (ADE) is a phenomenon where an incoming virus binds to suboptimal antibodies, facilitating more efficient host cell infiltration and viral replication. In this process, antibody-virus complexes not only enhance viral infection but also trigger the release of inflammatory molecules that can exacerbate disease severity .

Methodologically, ADE can be studied by developing specialized blood tests that detect these antibody-virus complexes. The approach involves:

  • Creating assay systems to observe if antibodies from patient samples facilitate viral entry into cells expressing Fc receptors

  • Measuring enhanced viral replication in the presence of suboptimal antibodies

  • Quantifying inflammatory mediator release following infection in the presence of these antibodies

ADE is particularly relevant for coronavirus research as it has been demonstrated in several human and animal coronaviruses, raising concerns about its potential role in COVID-19 disease progression or following vaccination . Researchers developing tests for ADE aim to help physicians predict disease severity in newly infected patients and inform treatment decisions, as well as support vaccine development by assessing the immune responses that potential vaccines induce .

How are antibody test sensitivity and specificity evaluated for research applications?

Evaluating antibody test performance requires rigorous validation against standardized panels. In a collaborative approach used by regulatory bodies like the FDA, NIH, CDC, and BARDA, tests are assessed against panels of confirmed positive and negative samples. A typical validation includes:

  • Testing against SARS-CoV-2 antibody-positive serum samples (approximately n=30)

  • Testing against antibody-negative serum and plasma samples (approximately n=80)

  • Calculating sensitivity (ability to correctly identify antibodies to SARS-CoV-2)

  • Calculating specificity (ability to correctly rule out antibodies to SARS-CoV-2)

  • Determining positive and negative predictive values at different prevalence rates

For example, the SARS-CoV-2 ELISA test (Euroimmun) demonstrated 90.0% sensitivity (95% CI, 74.4-96.5) and 100% specificity (95% CI, 95.4-100) for IgG antibodies. When applied to a population with 5% prevalence, this translated to a PPV of 100% (95% CI, 46.0-100) and NPV of 99.5% (95% CI, 98.6-99.8) .

Research applications require understanding these performance metrics in context, as laboratory validation may not precisely reflect real-world performance. When selecting tests for research studies, investigators should consider these parameters to ensure appropriate interpretation of results .

What methodological approaches are used to characterize antibody breadth versus potency against SARS-CoV-2?

Characterizing the relationship between antibody breadth and potency involves multiple complementary approaches. Research has revealed a trade-off between in vitro neutralization potency and breadth of sarbecovirus binding . To study this relationship, researchers employ:

  • Cross-binding assays: Testing antibody binding to RBD proteins from diverse sarbecoviruses across different clades

  • Neutralization potency assessment: Measuring IC50/IC90 values in pseudovirus or live virus neutralization assays

  • Epitope mapping: Using structural biology approaches (cryo-EM, X-ray crystallography) to determine precise binding footprints

  • Escape mutant generation: Creating viral variants with mutations in antibody binding sites to assess escape potential

  • In vivo protection studies: Testing antibodies with varying breadth/potency profiles in animal models (e.g., hamsters) for prophylactic protection

Research has identified antibodies like S2H97 with exceptional breadth across all sarbecovirus clades that bind to cryptic epitopes and provide prophylactic protection in animal models. In contrast, antibodies targeting the ACE2 receptor-binding motif (RBM) typically show high neutralization potency but poor breadth and are more susceptible to viral escape through mutations .

Exceptions to these patterns exist, such as antibody S2E12, which targets the RBM yet maintains breadth across SARS-CoV-2-related sarbecoviruses and presents a high barrier to viral escape. These exceptions highlight the importance of comprehensive characterization approaches rather than relying on single measurements or assumptions .

How can researchers develop assays to detect antibody-virus complexes for studying ADE?

Developing assays to detect antibody-virus complexes for ADE research requires a systematic approach:

  • Cell-based systems: Engineer cells expressing appropriate Fc receptors (FcγRIIa, FcγRIIb, FcγRIIIa) that can be infected by SARS-CoV-2

  • Flow cytometry-based detection: Use fluorescently labeled virus and antibodies to quantify enhanced entry into receptor-bearing cells

  • Reporter virus systems: Employ pseudotyped viruses with luciferase or fluorescent reporters to measure enhancement of infection

  • ELISA-based detection methods: Design assays to capture antibody-virus complexes from patient sera

  • Inflammatory mediator quantification: Measure cytokine/chemokine production in response to antibody-virus complex formation

The objective is to develop blood tests that can detect whether antibodies produced by an individual in response to natural infection or vaccination might predispose them to ADE. Such tests would ideally:

  • Be applicable to high-throughput screening

  • Provide quantitative measurements correlating with clinical outcomes

  • Differentiate between protective neutralizing responses and potentially harmful enhancing responses

  • Help inform therapeutic decisions for patients with active infections

  • Support vaccine development by identifying optimal immunogen designs that minimize ADE risk

What techniques are used to characterize RBD-specific antibody responses and their neutralizing capacity?

Characterizing RBD-specific antibody responses requires a multi-faceted approach combining serological and functional assays:

  • ELISA-based detection: Quantify IgG, IgA, and IgM antibodies against both full-length spike protein and isolated RBD

  • Surface plasmon resonance (SPR): Measure binding kinetics and affinity of antibodies to RBD

  • Biolayer interferometry: Analyze binding dynamics between antibodies and RBD variants

  • Pseudovirus neutralization assays: Determine functional neutralizing capacity using reporter systems

  • Live virus neutralization: Measure protection against infectious virus in BSL-3 conditions

  • Epitope binning: Group antibodies based on competitive binding patterns to map epitope clusters

  • Structural analysis: Use X-ray crystallography or cryo-EM to determine precise binding sites

Research on recovered COVID-19 subjects has demonstrated that 85.6% (131/153) tested positive for antibodies against SARS-CoV-2, with most having anti-S protein and anti-RBD IgG antibodies. The profile and duration of these responses vary between individuals, with some not developing detectable antibodies despite confirmed infection .

For comprehensive characterization, researchers should test both the binding of antibodies to viral antigens and their functional capacity to neutralize the virus. Distinguishing between binding and neutralizing antibodies is crucial, as not all antibodies that bind to the RBD have neutralizing capacity .

How do researchers evaluate antibody resistance to viral escape?

Evaluating antibody resistance to viral escape mutations involves several complementary approaches:

  • Deep mutational scanning: Create libraries of RBD variants with all possible amino acid substitutions at each position and measure the impact on antibody binding

  • Selective pressure experiments: Culture virus in the presence of sub-neutralizing antibody concentrations to select for escape variants

  • Structural analysis: Identify critical contact residues between antibodies and antigens to predict potential escape mutations

  • Bioinformatic surveillance: Monitor emerging viral variants for mutations in known antibody epitopes

  • Cross-reactivity testing: Assess antibody binding and neutralization against panels of naturally occurring variants

Antibodies targeting different epitopes on the RBD show varying propensities for escape. Those targeting the ACE2 receptor-binding motif (RBM) are typically more susceptible to escape mutations despite high neutralization potency. In contrast, antibodies targeting more conserved, cryptic epitopes (like S2H97) demonstrate exceptional breadth across sarbecoviruses and corresponding resistance to SARS-CoV-2 escape .

When designing therapeutic antibodies or evaluating vaccine-induced responses, researchers should prioritize epitopes and antibody features that confer both potency and resistance to escape. This balance is critical for developing interventions effective against both current SARS-CoV-2 variants and potential future pandemic coronaviruses .

What are the key considerations when interpreting serological data in research cohorts?

Interpreting serological data requires careful consideration of several factors that can influence results:

  • Antibody kinetics: Different antibody classes (IgM, IgA, IgG) appear and wane at different timepoints post-infection

  • Sensitivity limitations: In resolved COVID-19 cohorts, approximately 14.4% of RT-PCR-positive subjects show no detectable antibodies using standard assays

  • Cross-reactivity: Pre-COVID-19 samples occasionally show reactivity, particularly IgM against both S protein and RBD (1.5% in control groups)

  • Sample timing: The interval between symptom onset or RT-PCR positivity and sample collection significantly impacts detectable antibody levels

  • Test performance variability: Differences in assay platforms, antigen quality, and detection methods create inter-study variability

When designing research studies, investigators should:

  • Include multiple timepoints when possible

  • Test for multiple antibody isotypes

  • Include both binding and functional (neutralization) assays

  • Carefully select appropriate negative controls including pre-pandemic samples

  • Consider the potential for false positives and false negatives based on test characteristics

How can researchers integrate antibody testing into studies of immune protection and vaccine efficacy?

Integrating antibody testing into vaccine and immune protection studies requires a systematic approach:

  • Baseline assessment: Establish pre-vaccination/pre-infection antibody status

  • Longitudinal sampling: Collect samples at defined intervals (e.g., 14, 28, 90, 180 days) post-vaccination or infection

  • Comprehensive antibody profiling:

    • Measure binding antibodies to multiple viral antigens (S, RBD, N)

    • Quantify neutralizing antibody titers

    • Assess FcR-mediated effector functions

    • Determine antibody avidity/maturation over time

  • Correlate with protection: Link antibody metrics with clinical outcomes or protection in challenge models

  • Test for ADE: Evaluate whether vaccine-induced antibodies predispose to enhanced disease through specialized assays

Researchers should consider that the optimal antibody profile may include a balance of neutralizing capacity, effector functions, breadth across variants, and resistance to viral escape. The tests developed to detect Antibody Dependent Enhancement of SARS-CoV-2 can be particularly valuable in vaccine development to assess whether the immune response induced by a potential vaccine might predispose recipients to ADE .

The ultimate goal is to establish reliable correlates of protection that can predict clinical efficacy and inform both individual risk assessment and population-level immunity evaluations.

What emerging technologies are advancing SARS-CoV-2 antibody research?

Several cutting-edge technologies are transforming antibody research approaches:

  • Single B-cell sorting and sequencing: Enables rapid isolation and characterization of monoclonal antibodies from convalescent or vaccinated individuals

  • Cryo-electron microscopy: Provides high-resolution structural information about antibody-antigen complexes without crystallization

  • Systems serology: Combines multiple antibody measurements with machine learning to identify correlates of protection

  • Multiplexed assay platforms: Allow simultaneous testing of antibody responses against multiple variants and epitopes

  • AI-driven epitope prediction: Identifies conserved epitopes across sarbecoviruses to guide broadly protective antibody development

These technologies are enabling researchers to identify antibodies like S2H97 that bind with high affinity across all sarbecovirus clades to cryptic epitopes and provide broad protection. The integration of structural, functional, and computational approaches is accelerating the development of next-generation therapeutic antibodies and vaccines with improved breadth and resistance to escape .

How should researchers approach the study of antibody responses to new SARS-CoV-2 variants?

Studying antibody responses to new variants requires a systematic approach:

  • Construct variant-specific reagents:

    • Generate recombinant RBD and spike proteins containing variant mutations

    • Develop pseudoviruses expressing variant spike proteins

    • Isolate live variant viruses (where feasible and with appropriate biosafety)

  • Cross-reactivity assessment:

    • Test pre-existing antibodies (from infection or vaccination) against new variants

    • Compare neutralization potency between original and variant viruses

    • Identify specific mutations responsible for antibody escape

  • Breakthrough infection studies:

    • Characterize antibody responses in vaccinated individuals who experience breakthrough infections

    • Compare these responses to those from primary infections with the same variant

    • Assess breadth of responses against both previous and new variants

  • Structure-function analyses:

    • Determine how specific mutations alter antibody binding using structural biology

    • Identify conserved epitopes that resist variation across variants

    • Use this information to design broadly protective immunogens

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