HUA1 Antibody

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Description

Pharmacokinetics and Efficacy

Studies in rodents and non-human primates demonstrated:

ParameterFindings (Preclinical)Source
Tissue DistributionPreferential tumor uptake of MMAF payload; minimal off-target accumulation in liver, kidney, and heart .
Dose LinearityPlasma exposure (AUC) increased linearly with doses (0.3–10 mg/kg) in monkeys .
ImmunogenicityLow anti-drug antibody (ADA) incidence in rats and monkeys .
Antitumor ActivityPotent tumor growth inhibition in lung (H1975) and breast (MDA-MB-361-DYT2) xenografts .

The ADC maintained a drug-to-antibody ratio (DAR) >50% for 1–2 weeks post-administration in primates .

Phase I Trial (NCT01891669)

Design: First-in-human dose escalation in patients with advanced solid tumors .
Key Outcomes:

MetricResultsSource
SafetyDose-limiting toxicities included neutropenia and neuropathy; maximum tolerated dose not reached .
PharmacokineticsLinear PK profile observed; MMAF exposure remained low (<1% of ADC AUC) .
Antitumor ActivityPartial responses in 5T4-high tumors; stable disease in 25% of patients .

Comparative Analysis

HUA1-based ADCs differ from conventional 5T4-targeted therapies by leveraging MMAF’s potency while minimizing systemic toxicity through tumor-specific delivery. Unlike unconjugated HUA1 (PF-06281192), which showed no standalone efficacy, the ADC demonstrated target-dependent cytotoxicity .

Research Implications

HUA1 exemplifies the potential of ADCs to enhance therapeutic windows in oncology. Its specificity for 5T4, conserved across multiple carcinomas, positions it as a candidate for combination therapies or biomarker-driven patient stratification. Ongoing studies aim to optimize dosing and evaluate efficacy in 5T4-overexpressing malignancies .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
HUA1 antibody; YGR268C antibody; Proline-rich protein HUA1 antibody
Target Names
HUA1
Uniprot No.

Target Background

Function
HUA1 antibody may play a role in the assembly and disassembly of the actin cytoskeleton.
Database Links

KEGG: sce:YGR268C

STRING: 4932.YGR268C

Protein Families
HUA1 family
Subcellular Location
Cytoplasm.

Q&A

What are the key structural characteristics of human antibodies targeting influenza hemagglutinin?

Human antibodies targeting influenza hemagglutinin (HA) can recognize either the highly variable globular head domain or the more conserved stalk region. Antibodies like FluA-20 have demonstrated surprising capabilities to reach normally inaccessible portions of the HA trimer molecule, causing it to disassemble and preventing viral cell-to-cell spread . These antibodies can be isolated from individuals who have received multiple influenza immunizations, suggesting that repeated exposure may enhance development of broadly reactive antibodies . The structural binding characteristics typically involve recognition of epitopes that are transiently exposed during conformational changes of the HA protein, allowing antibodies to exploit vulnerabilities that would otherwise be hidden from immune surveillance .

How are anti-HA stalk antibody titers measured in research settings?

Anti-HA stalk antibody titers are typically measured using enzyme-linked immunosorbent assays (ELISAs) specifically designed to detect antibodies binding to conformational epitopes on the HA stalk. Validation of these assays is crucial and should include:

  • Verification that coating conditions maintain important conformational epitopes of the HA stalk

  • Confirmation using well-characterized neutralizing monoclonal antibodies (e.g., CR6261, C179, and 70-1F02)

  • Performance of inhibition ELISAs to measure how serum samples inhibit known monoclonal antibodies from binding to these epitopes

In properly validated assays, strong positive correlations (P < 0.0001) should be observed between stalk antibody titers and the level of inhibition to established monoclonal antibodies . This ensures that the ELISA accurately assesses antibodies binding to key epitopes of the influenza HA stalk.

What is the relationship between pre-existing anti-HA stalk antibodies and infection outcomes?

Research indicates that pre-existing anti-HA stalk antibody titers correlate with certain aspects of protection against influenza virus infection. Human challenge studies have shown that individuals with higher baseline anti-HA stalk antibody titers are less likely to develop viral shedding following experimental infection . The mean anti-HA stalk antibody titer was significantly lower in participants who developed mild to moderate influenza disease compared to those who did not (P = 0.002) .

How do antibody engineering approaches enhance therapeutic potential?

Advances in human antibody engineering have improved diagnostic capabilities and therapeutic interventions for various diseases including infectious diseases, cancer, and autoimmune disorders . Key engineering approaches include:

  • Phage, yeast, and lentivirus display platforms and panning procedures

  • Human antibody library constructions containing billions of members

  • Antibody humanization and affinity maturation

  • Fc engineering to enhance effector functions

  • Intrabody technology for intracellular targeting

  • Directed gene/siRNA delivery systems

These techniques allow researchers to isolate therapeutic human antibodies with improved specificity, reduced immunogenicity, and enhanced functional properties compared to naturally occurring antibodies .

How do different correlates of protection against influenza compare in predicting disease outcomes?

Research comparing different immune correlates reveals important distinctions in their predictive value for protection against influenza:

Correlate of ProtectionPredicts Reduced Viral SheddingPredicts Reduced Symptom DurationPredicts Reduced Symptom NumberPredicts Reduced Symptom Severity
Anti-HA Stalk AntibodyYes (P < 0.001*)No (P = 0.16)Yes (P = 0.02*)No (P = 0.22)
HAI TiterYesNoNoNo
NAI TiterYes (P < 0.001*)Yes (P = 0.011*)Yes (P = 0.008*)Yes

Data from multiple regression analyses indicate that only neuraminidase inhibition (NAI) titer is an independent predictor of reduction in all assessed influenza clinical outcome measures . Neither HAI nor anti-HA stalk antibody titers showed statistically independent effects on all disease outcomes, suggesting that while these antibodies contribute to protection, they may work in conjunction with other immune components rather than independently .

What methodologies are recommended for predicting antibody developability during early-stage screening?

To predict antibody developability during early screening phases, researchers should implement an integrated high-throughput workflow that combines computational methods with experimental assays. Effective methodologies include:

  • In silico analysis to rapidly assess sequence-based properties

  • High-throughput biophysical characterization assays, such as:

    • Hydrophobic interaction chromatography (HIC)

    • Size exclusion chromatography

    • Differential scanning calorimetry

    • Self-interaction chromatography

This approach should be implemented at the start of antibody lead discovery campaigns to accelerate candidate selection and reduce risks in development . For optimal results, evaluate panels of diverse human or humanized monoclonal antibodies (representing different isotypes, light chains, and germline V-genes) to establish predictive parameters for developability .

How do pre-challenge and post-challenge anti-HA stalk antibody dynamics differ among individuals?

Analysis of anti-HA stalk antibody dynamics shows significant individual variation in baseline titers and responses to viral challenge. In human challenge studies with influenza A/H1N1 virus:

Importantly, individuals with pre-challenge titers below the median demonstrated larger significant increases (from 28,010 to 57,116, P < 0.0001*), while those with titers above the median showed no significant change (P = 0.092) . This suggests that individuals with lower baseline anti-HA stalk antibody levels have greater capacity for boosting these responses upon viral exposure, which has implications for universal vaccine design strategies targeting these conserved epitopes.

What are the methodological challenges in identifying vulnerable epitopes in the hemagglutinin protein?

Identifying vulnerable epitopes in hemagglutinin presents several methodological challenges:

  • Many critical epitopes are only transiently exposed during conformational changes of the HA protein

  • The trimeric structure of HA can shield potential vulnerability sites

  • Regions previously thought to be inaccessible, such as portions of the HA trimer molecule, may actually be accessible to certain antibodies

These challenges require sophisticated approaches including:

  • X-ray crystallography and cryo-electron microscopy to determine antibody-antigen complex structures

  • Time-resolved studies to capture transient conformational states

  • Isolation of naturally occurring human antibodies from individuals with repeated influenza exposure or vaccination

  • Experimental validation in animal models to confirm protection against multiple influenza subtypes

The discovery of antibodies like FluA-20, which can reach into what was previously thought to be an inaccessible part of the HA trimer, demonstrates that comprehensive structural studies coupled with functional analyses are essential for identifying truly vulnerable epitopes .

How do naturally occurring anti-HA stalk antibodies compare to engineered broadly neutralizing antibodies for therapeutic development?

Naturally occurring anti-HA stalk antibodies provide valuable templates for therapeutic development but often require engineering to enhance their protective properties:

PropertyNaturally Occurring Anti-HA Stalk AntibodiesEngineered Broadly Neutralizing Antibodies
Breadth of ProtectionVariable, often strain-specificEnhanced cross-reactivity against multiple subtypes
PotencyGenerally lowerSignificantly improved through affinity maturation
Half-lifeNormal IgG half-lifeCan be extended through Fc modifications
ManufacturabilityMay have developability issuesOptimized for large-scale production
ImmunogenicityPotentially lowerMay increase with extensive engineering

Centers like the Center for Human Antibody Therapeutics (CHAT) specialize in engineering improvements including antibody humanization, affinity maturation, and Fc engineering to enhance therapeutic potential . These modifications can dramatically improve the breadth, potency, and pharmacokinetic properties of naturally occurring antibodies while maintaining their targeting specificities.

What validation steps are critical for anti-HA stalk antibody assays?

Rigorous validation of anti-HA stalk antibody assays is essential for generating reliable research data. Critical validation steps include:

  • Verification that antigen coating conditions maintain conformational epitopes of the HA stalk

  • Confirmation of epitope integrity using well-characterized neutralizing monoclonal antibodies (e.g., CR6261, C179, and 70-1F02)

  • Performance of inhibition ELISAs to measure how serum samples compete with known monoclonal antibodies

  • Establishment of appropriate positive and negative controls

  • Determination of assay specificity, sensitivity, reproducibility, and dynamic range

Strong positive correlations between stalk antibody titers and inhibition of monoclonal antibodies (P < 0.0001) provide evidence that the assay is properly measuring antibodies binding to key epitopes of the influenza HA stalk .

How should researchers design studies to evaluate antibodies as correlates of protection?

When evaluating antibodies as correlates of protection, researchers should implement the following design considerations:

  • Utilize controlled human infection models when ethically appropriate

  • Measure multiple potential correlates simultaneously (e.g., anti-HA stalk, HAI, NAI)

  • Assess diverse clinical outcomes including:

    • Viral shedding (presence, duration, magnitude)

    • Symptom development (presence, number, duration, severity)

    • Biomarkers of immune activation

  • Perform multivariate analyses to determine independent contributions of each correlate

  • Consider demographic factors (age, sex, race) that might influence results

  • Include pre-challenge and post-challenge sampling to assess response dynamics

This comprehensive approach allows for determination of whether a specific antibody type independently predicts protection or works in concert with other immune components, providing crucial information for vaccine development.

How might anti-HA stalk antibodies inform universal influenza vaccine development?

Anti-HA stalk antibodies offer promising insights for universal influenza vaccine development due to their targeting of conserved epitopes. Key research areas include:

  • Designing immunogens that specifically elicit anti-HA stalk antibodies rather than head-directed responses

  • Determining optimal prime-boost strategies to focus immune responses on conserved regions

  • Investigating whether vaccines eliciting anti-HA stalk antibodies provide broader protection than natural infection

  • Exploring combinations with other conserved targets (e.g., neuraminidase) for synergistic protection

The discovery of antibodies like FluA-20, which targets conserved regions of the HA head that vary little between strains, suggests that antibody-based therapeutics directed at such regions could potentially be effective against many influenza strains . Similarly, vaccines designed to elicit antibodies against these targets might provide long-lasting protection against any influenza strain, potentially eliminating the need for annual seasonal influenza vaccination .

What are the technical challenges in scaling antibody production for research applications?

Scaling antibody production for research applications presents several technical challenges that researchers must address:

  • Selection of appropriate expression systems based on antibody characteristics:

    • Bacterial systems (fast, economical, but limited post-translational modifications)

    • Mammalian cell systems (proper folding and glycosylation, but higher cost)

    • Insect cell systems (intermediate complexity and cost)

  • Optimization of culture conditions to maximize yield while maintaining quality:

    • Media composition and feeding strategies

    • Temperature, pH, and dissolved oxygen control

    • Induction timing and methods

  • Purification process development:

    • Chromatography sequence design

    • Scale-appropriate filtration methods

    • Product stability during processing

  • Implementation of high-throughput automation to enhance efficiency and consistency across batches

Advanced centers like CHAT have developed expertise in multiple expression systems and high-throughput automation to address these challenges, enabling production of research-grade antibodies with consistent quality and sufficient quantities for comprehensive characterization .

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