NHL3 Antibody

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Description

Role in Disease Resistance

NHL3 overexpression in transgenic Arabidopsis enhances resistance to Pseudomonas syringae pv. tomato DC3000, a virulent bacterial pathogen. Key findings include:

  • Pathogen Response: NHL3 expression is suppressed by virulent bacteria but induced by avirulent strains, suggesting a defense-specific role .

  • Functional Validation:

    • Transgenic lines with high NHL3 expression (e.g., line S13) show ~50% reduction in bacterial growth compared to wild-type plants .

    • Intermediate expression (lines S5, S7) correlates with moderate resistance .

Table 1: Bacterial Growth in NHL3-Overexpressing Transgenic Lines

Transgenic LineNHL3 Expression LevelBacterial Growth Reduction (vs. Wild-Type)
S13High50% at 5 days post-infection
S5Intermediate30% at 5 days post-infection
S7Intermediate25% at 5 days post-infection
S6NoneNo reduction
Data derived from phosphorimaging and bacterial colony counts .

Table 2: Biochemical Properties of NHL3-HA

PropertyObservationMethod Used
Molecular Weight~37 kD (vs. predicted 27 kD)SDS-PAGE/Western blot
Glycosylation StatusPartial reduction after deglycosylationPNGase F treatment
OligomerizationForms dimers/trimers (37–74 kD bands)Crosslinking (DTSSP)
Membrane AssociationResistant to chemical strippingTwo-phase partitioning

Mechanistic Insights

  • Membrane Localization: Positioned at the plasma membrane, NHL3 likely intercepts pathogens early during infection .

  • Post-Translational Modifications: Glycosylation and oligomerization may regulate its stability or interaction with defense signaling partners .

  • Suppression by Pathogens: Virulent bacteria downregulate NHL3, indicating counter-defense mechanisms .

Limitations and Open Questions

  • Protein Complexes: Larger immunoreactive bands suggest NHL3 may interact with unknown partners, necessitating further proteomic studies .

  • Human Relevance: NHL3 is plant-specific; no direct homologs in mammals have been identified.

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
NHL3 antibody; At5g06320 antibody; MHF15.16 antibody; NDR1/HIN1-like protein 3 antibody
Target Names
NHL3
Uniprot No.

Target Background

Function
This antibody confers resistance to Pseudomonas syringae pv. tomato DC3000 (Pst DC3000).
Database Links

KEGG: ath:AT5G06320

STRING: 3702.AT5G06320.1

UniGene: At.66314

Subcellular Location
Cell membrane; Single-pass membrane protein.
Tissue Specificity
Expressed in roots, young and senescing leaves, cauline leaves, stems and siliques.

Q&A

What is the EPCORE NHL-3 Trial and what type of antibody is being investigated?

The EPCORE NHL-3 is an open-label, multi-center safety and preliminary efficacy trial evaluating epcoritamab - a subcutaneous bispecific antibody. The trial consists of a phase 1 first-in-human dose escalation part and a phase 2 expansion component. It specifically evaluates epcoritamab in Japanese patients with relapsed, progressive, or refractory mature B-NHL, including Diffuse Large B-Cell Lymphoma (DLBCL) .

Epcoritamab (EPKINLY™) is an IgG1-bispecific antibody created using Genmab's proprietary DuoBody® technology. Its mechanism of action involves simultaneously binding to CD3 on T cells and CD20 on B cells, inducing T-cell mediated killing of CD20+ cells . This dual-targeting approach differentiates it from conventional monoclonal antibodies.

Patient characteristics in the study included:

  • 56% with primary refractory disease

  • 81% refractory to their last therapy

  • Median of 3 prior therapies (range: 2-8)

  • 19% with prior autologous stem cell transplantation

  • No patients with prior CAR T-cell therapy

How do biomarkers inform NHL antibody research and what are the key prediagnostic markers?

Longitudinal studies of biomarkers have revealed critical insights into the development of NHL subtypes. Key findings include:

Primary Biomarkers Associated with NHL Development:

  • sCD30: Significantly increased in both Follicular Lymphoma (FL) and DLBCL cases compared to controls

  • CXCL13: Elevated levels associated with both FL and DLBCL

  • IL-10: Associated with NHL risk, with levels increasing significantly at time points closer to diagnosis

These markers show distinct trajectories prior to diagnosis, with significant increasing trends for sCD30 and CXCL13 starting at the earliest timepoints for both FL and DLBCL subtypes. This suggests these biomarkers may contribute to the etiology of these NHL subtypes and serve as potential early detection biomarkers .

The significance of longitudinal biomarker measurement is crucial, as most previous studies relied on single serum samples at varying time points prior to NHL diagnosis, resulting in cross-sectional analyses. More robust evaluation of immune marker trajectories requires serial samples within individuals to assess changes over time, especially when examining NHL subtypes given their heterogeneity .

What methodological considerations are important when designing NHL antibody studies?

When designing NHL antibody studies, researchers should consider several critical methodological factors:

Sample Collection and Timing:

  • Multiple serial samples are vital for establishing biomarker trajectories

  • In the referenced studies, 86.2% of NHL cases and 86.0% of controls had two or more serial pre-NHL diagnosis serum samples, with 71% of cases and 70.7% of controls having three serial samples

  • Timing distribution is essential; in one study, 61% of serum specimens were obtained 0-5 years preceding NHL diagnosis, while 11% were collected >10 years prediagnosis

Patient Population Characterization:

  • Clear documentation of previous treatment history (e.g., median number of prior therapies, range)

  • Determination of refractory status (primary refractory disease, refractory to last therapy)

  • Prior treatment modalities (ASCT, CAR T-cell therapy, etc.)

Response Assessment Methodology:

Safety Monitoring Protocols:

  • Specific protocols for monitoring cytokine release syndrome (CRS)

  • Step-up dosing regimens to minimize Grade 2 CRS and mitigate Grade ≥3 CRS

What are the current efficacy endpoints in NHL3 antibody trials and how are they measured?

Current efficacy endpoints in NHL antibody trials, specifically for epcoritamab, include:

Primary Endpoints:

Secondary Endpoints:

Response Durability Assessment:

These results are particularly notable because they were observed in a historically difficult-to-treat patient population, demonstrating the potential of this investigational therapy as a treatment option .

How do T-cell engaging bispecific antibodies like epcoritamab function in NHL treatment?

T-cell engaging bispecific antibodies represent an innovative approach to NHL treatment with distinct functional mechanisms:

Dual-Targeting Mechanism:

  • Epcoritamab simultaneously binds to CD3 on T cells and CD20 on B cells

  • This binding induces T-cell mediated killing of CD20+ cells through immune synapse formation

  • The DuoBody® technology enables efficient dual targeting while maintaining subcutaneous administration

Advantages Over Traditional Approaches:

  • Direct engagement of T cells without requiring additional immune modulators

  • Subcutaneous administration, unlike many cellular therapies that require infusion

  • Potential for activity in patients who have failed prior therapies, including those with refractory disease

Immune Activation Pathway:

  • Binding of CD20 on malignant B cells

  • Simultaneous binding of CD3 on T cells

  • Formation of immunological synapse between T cell and target B cell

  • T cell activation and release of cytotoxic granules

  • Targeted killing of malignant B cells

The subcutaneous administration of epcoritamab offers practical advantages while maintaining efficacy, as demonstrated in clinical trials showing 82% ORR including 63% complete responses in patients with difficult-to-treat relapsed/refractory follicular lymphoma .

How are antibody Nanoworms being developed for NHL and what advantages do they offer?

Antibody Nanoworms represent an innovative approach to addressing unmet therapeutic needs in NHL treatment:

Core Concept and Mechanism:

  • Antibody Nanoworms are designed to address: (1) heterogeneous activation of host immunity towards B cell NHL, and (2) lack of antibody-based therapeutics for T cell NHL

  • They function through receptor clustering activity, which occurs through their inherent multivalency

  • This clustering activates intracellular signaling without requiring any secondary crosslinker

Target Versatility:

  • Four therapeutic receptors have been successfully targeted:

    • B cell NHL targets: CD19, CD20, HLA-DR10

    • T cell NHL targets: CD3

Mechanistic Advantages:

  • As a sole agent, Nanoworms induced apoptosis through clustering of CD20 or HLA-DR10

  • They arrested the cell cycle upon CD19 clustering

  • CD3 clustering was particularly effective in inducing activation-induced cell death (AICD)

The multivalent design of Nanoworms allows them to function without secondary crosslinkers, potentially simplifying treatment approaches while addressing both B-cell and T-cell NHL subtypes. This adaptable modality offers promising alternatives to conventional antibody therapies by leveraging receptor clustering as a primary mechanism of action .

What methodological approaches are used to study immune activation biomarkers in NHL research?

Immune activation biomarker research in NHL employs sophisticated methodological approaches:

Biomarker Panel Selection:

  • Comprehensive panels examining multiple immune activation molecules simultaneously

  • In leading studies, researchers evaluated 15 cytokines, chemokines, and immune-related biomarkers including:

    • Interleukins: IL-1β, IL-2, IL-4, IL-5, IL-6, IL-10, IL-12

    • Chemokines: CXCL13, IL-8

    • Cytokines: TNF-α, IFN-γ, GM-CSF

    • Other markers: VEGF, sCD30, IgE

Longitudinal Sampling Strategies:

  • Serial sampling is critical for establishing biomarker trajectories

  • Two or more pre-NHL diagnosis serum samples were collected from 86.2% of NHL cases

  • Three serial samples were available for 71% of NHL cases

Temporal Analysis Techniques:

  • Trajectory analysis examining changes over time relative to diagnosis

  • Time-window stratification (e.g., specimens collected 0-5 years vs. >10 years pre-diagnosis)

Statistical Methods:

  • Comparison of cases vs. controls over multiple timepoints

  • Analysis of rate of change in biomarker levels

  • Subtype-specific analysis for different NHL variants (FL vs. DLBCL)

This methodological approach enables researchers to identify biomarkers that show significant changes prior to diagnosis, potentially contributing to earlier detection and improved understanding of NHL pathogenesis .

How are monoclonal antibodies used to characterize the cellular content of NHL?

Monoclonal antibodies serve as critical tools for characterizing NHL cellular content and establishing accurate diagnoses:

Antibody Panel Composition:
In comprehensive NHL cellular characterization, researchers employ a diverse panel of monoclonal antibodies targeting various cellular markers:

  • T-cell markers: α Leu-I, α Leu-2a, α Leu-3a, OKT1, OKT3, OKT4, OKT6, OKT8

  • MHC markers: W6/32, 26/114

  • Other markers: DA-2, 2DI, J5, AN51, OKT9

Complementary Traditional Methods:
These are combined with conventional surface marking techniques:

  • Rosetting (E, Fc gamma, Fc mu, C3b, C3d)

  • Surface immunoglobulin (SIg) detection

  • Cytoplasmic immunoglobulin (CyIg) heavy and light chain classes

Key Methodological Findings:

  • Reproducibility and specificity of staining with monoclonal antibodies against T cells and T cell subsets has been confirmed

  • Evidence shows α Leu-I antibody reactivity with SIg positive and Ia positive cells in certain lymphomas (centroblastic centrocytic, lymphocytic and immunoblastic)

  • Some cases demonstrated marking with OKT3 on SIg positive cells in T cell predominant immunoblastic lymphoma

  • Lymphoblastic lymphomas of T cell type expressed the OKT6 marker

Malignancy Correlation:

  • The monoclonal antibody OKT9 (which detects transferrin receptor expression) showed correlation between cellular expression levels and histological grade of malignancy

  • OKT9+ cells were elevated in high-grade lymphomas and some cases of transforming lymphoma of low-grade histological class

These findings demonstrate the value of using defined monoclonal reagents in the phenotypic evaluation of NHL, providing more precise classification and potential prognostic information.

How do researchers evaluate the effectiveness of bispecific antibodies in refractory NHL patients?

Evaluating bispecific antibody effectiveness in refractory NHL patients involves rigorous methodological approaches:

Patient Population Characterization:
Thorough characterization of the refractory nature of the disease is essential:

  • Documentation of primary refractory disease (56% in the EPCORE NHL-3 trial)

  • Assessment of refractoriness to last therapy (81% in the trial)

  • Detailed treatment history (median of 3 prior therapies, range 2-8)

Response Assessment Criteria:

Subpopulation Analysis:
Stratification of results based on:

  • Number of prior lines of therapy (44% with two prior therapies, 25% with three, 31% with four or more)

  • Prior transplantation status (19% with prior ASCT)

  • Other previous treatment modalities

Long-term Follow-up Protocols:

  • Continued assessment beyond initial response determination

  • Monitoring for late relapses or sustained remissions

  • Quality of life and functional status evaluations

The EPCORE NHL-1 study demonstrated this approach, showing 82% ORR with 63% CR in follicular lymphoma patients, with more than half of responding patients maintaining their response at the time of data analysis (median DoR not reached) . These robust methodologies provide clinically meaningful insights about bispecific antibody efficacy in this challenging patient population.

What methodological challenges exist in evaluating longitudinal biomarker changes for NHL prediction?

Several methodological challenges complicate the evaluation of longitudinal biomarker changes for NHL prediction:

Sample Availability Limitations:

  • Most previous studies relied on single serum samples at varying time points prior to NHL diagnosis

  • This results in cross-sectional examinations rather than true longitudinal analysis

  • Even studies with two serum samples per participant have limited ability to examine changes over time

Subtype Heterogeneity:

  • B-cell NHL comprises heterogeneous subtypes

  • Different NHL subtypes likely have distinct immune marker trajectories

  • Sufficient sample sizes for each subtype are required for meaningful analysis

Temporal Distribution Challenges:

  • Ideal sample collection would have consistent time intervals

  • In practice, samples are collected at irregular intervals

  • 61% of specimens may be from 0-5 years preceding diagnosis while only 11% from >10 years pre-diagnosis

Analytical Complexity:

  • Need for sophisticated statistical models to account for:

    • Irregular sampling intervals

    • Missing timepoints

    • Inter-individual variation

    • Potential confounding factors

Methodological Solutions:
Larger studies utilizing several serial samples within individuals allow for more robust evaluation of immune marker trajectories by:

  • Enabling trajectory modeling approaches

  • Providing statistical power for subtype-specific analyses

  • Allowing for evaluation of rate-of-change rather than single timepoint values

These challenges highlight why studies with multiple serial samples (86.2% of NHL cases with two or more samples, 71% with three samples) provide superior insights into biomarker trajectories compared to cross-sectional approaches .

How do receptor clustering mechanisms differ between traditional antibodies and newer modalities like Nanoworms?

Receptor clustering mechanisms represent a fundamental difference between traditional antibodies and newer modalities like Nanoworms:

Traditional Antibody Mechanisms:

  • Often require secondary crosslinkers to achieve receptor clustering

  • May have limited valency for target engagement

  • Typically designed for either direct cell killing or immune system recruitment

Nanoworm Clustering Mechanism:

  • Inherent multivalency enables receptor clustering without secondary crosslinkers

  • Clustering occurs regardless of the target or cell type

  • This clustering activates intracellular signaling pathways directly

Functional Consequences:
When targeting B-cell NHL receptors:

  • CD20 or HLA-DR10 clustering induces apoptosis

  • CD19 clustering results in cell cycle arrest

When targeting T-cell NHL receptors:

  • CD3 clustering induces activation-induced cell death (AICD), which is particularly advantageous

Therapeutic Implications:
Nanoworms offer potential solutions to two major unmet needs:

  • Heterogeneous activation of host immunity towards B cell NHL

  • Lack of antibody-based therapeutics for T cell NHL

This mechanistic difference explains why Nanoworms can function as sole agents without requiring additional crosslinking components, potentially simplifying therapeutic approaches while expanding the range of targetable NHL subtypes .

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