SHR1 appears in several contexts in antibody research literature:
SHR-1210: A novel anti-PD-1 monoclonal antibody evaluated in clinical trials for advanced solid tumors. Clinical data demonstrates promising antitumor activity with a manageable safety profile at multiple dosing levels (60mg, 200mg, and 400mg) .
SHR-1906: A fully humanized monoclonal antibody targeting connective tissue growth factor, investigated for idiopathic pulmonary fibrosis. Phase I studies have tested doses ranging from 1.5 to 45 mg/kg with favorable tolerability .
Anti-Shr antibodies: Human monoclonal antibodies (including TRL186 and TRL96) targeting the Shr surface receptor in Group A Streptococcus (GAS). These antibodies have demonstrated efficacy in both prophylactic and therapeutic infection models .
When designing experiments, researchers must clearly identify which specific SHR1 antibody is being investigated, as their targets and mechanisms differ substantially.
Each SHR1 antibody variant functions through distinct biological mechanisms:
Anti-Shr antibodies (e.g., TRL186): Function by interfering with iron acquisition pathways in Group A Streptococcus. TRL186 specifically impedes Shr binding to hemoglobin and inhibits bacterial growth on hemoglobin iron. It binds to the N-terminal region (NTR) of Shr protein, inhibiting hemoglobin binding in a dose-dependent manner with maximum inhibition of 43% at 2 μg/mL concentration .
SHR-1210: Functions as a PD-1 inhibitor in cancer immunotherapy contexts. By blocking the interaction between PD-1 on T cells and its ligands, it enhances anti-tumor immune responses. Clinical studies have documented complete responses in gastric cancer and bladder carcinoma patients .
SHR-1906: Targets connective tissue growth factor in fibrotic diseases. Pharmacokinetic studies show nonlinear behavior where peak concentration increases in a dose-proportional manner, while area under the concentration-time curve demonstrates greater than dose-proportional increases .
The isolation and characterization of SHR1 antibodies involve sophisticated methodologies:
Isolation techniques: For anti-Shr antibodies, researchers employed the CellSpot platform where memory B cells were stimulated to proliferate and differentiate into plasma cells. The secreted immunoglobulin footprints were then probed with fluorescent nanoparticles conjugated with target proteins (full-length Shr, NEAT1, NEAT2 domains) and counter-screening beads .
Binding characterization: Multiple assays determine binding properties:
ELISA with recombinant proteins, domains, and peptides
Western blot analysis for protein detection
Flow cytometry for cell-surface binding
Functional characterization: Methods include:
Inhibition of ligand binding (e.g., hemoglobin binding inhibition)
Effects on bacterial growth in limited-iron conditions
Phagocytosis assays with cultured immune cells
In vivo protection in animal infection models
Pharmacokinetic characterization: For clinical-stage antibodies like SHR-1210 and SHR-1906, analysis of clearance rates, volume distribution, and half-life determination across multiple doses .
Multiple complementary methodologies provide robust efficacy assessment:
In vitro binding assays:
Functional assays:
In vivo efficacy models:
Clinical endpoints for SHR-1210 and SHR-1906:
The search results provide a compelling example of how epitope specificity directly determines functional outcomes:
In anti-Shr antibody research, two antibodies with distinct binding specificities demonstrated dramatically different efficacy profiles:
TRL186 (binds to NTR domain): Provided 100% survival in prophylactic studies
TRL96 (binds to NEAT1 domain): Showed no protection compared to control group
Despite both antibodies demonstrating similar in vitro phagocytic killing activity (35% vs. 44% reduction in bacterial recovery), only TRL186 impeded hemoglobin binding and bacterial growth on hemoglobin iron.
This exemplifies how targeting a functional domain (NTR) involved in nutrient acquisition produces superior outcomes compared to targeting non-functional domains, despite similar binding to the target organism. The researchers concluded: "Interference with iron acquisition is central for TRL186 efficacy against GAS" .
Several challenges emerge when advancing SHR1 antibodies to clinical settings:
Immunogenicity concerns: For SHR-1906, "Anti-drug antibodies were detected in nine of 54 participants (16.7%)" , indicating potential immunogenicity that could affect long-term efficacy and safety.
Nonlinear pharmacokinetics: SHR-1906 exhibited nonlinear PK where "peak concentration increased in a dose-proportional manner, whereas the area under the concentration-time curve showed a greater than dose-proportional increase" . This complexity complicates dose selection and prediction of drug exposure.
Variable half-life: The half-life of SHR-1210 was documented as "2.94 d, 5.61 d and 11.0 d for 3 dose levels" , revealing significant dose-dependency that must be accounted for in dosing regimens.
In vitro to in vivo translation gaps: For anti-Shr antibodies, both TRL186 and TRL96 "promoted killing by phagocytes in vitro, but prophylactic administration of only TRL186 increased mice survival" , highlighting that in vitro efficacy doesn't always predict in vivo outcomes.
When encountering contradictory results across different assay systems, researchers should:
Consider biological relevance hierarchy: In the anti-Shr antibody research, in vivo protection outcomes superseded in vitro phagocytosis results. Both TRL186 and TRL96 promoted similar levels of phagocytic killing (35% vs. 44%), yet only TRL186 conferred protection in animal models .
Investigate mechanistic differences: The researchers resolved the apparent contradiction by determining that "TRL186 but not TRL96 also impeded Shr binding to hemoglobin and GAS growth on hemoglobin iron" . This mechanistic difference explained the superior in vivo performance despite similar phagocytosis enhancement.
Evaluate assay limitations: Some assays may lack sensitivity to detect biologically meaningful differences or may introduce artificial conditions that don't reflect in vivo complexity.
Perform comprehensive characterization: Multiple assays examining different aspects of antibody function (binding, inhibition of natural ligand interactions, cellular effects, in vivo protection) provide a more complete understanding than any single assay.
Examine dose-response relationships: Different concentration requirements across assays may reveal important pharmacodynamic properties.
Based on published SHR1 antibody research, robust experimental designs should include:
Isotype controls: The anti-Shr study employed "TRL308, a human mAb to respiratory syncytial virus" as a control antibody to establish background binding levels .
Genetic controls: Testing with knockout or mutant strains - "A Δshr mutant did not react with TRL186 or TRL96, establishing Shr specificity in vivo" .
Domain deletion variants: "Binding to a series of NZ131 mutants with complete or various in-frame deletions in Shr" validated domain-specific binding .
Protein controls: "Wells were coated with BSA, and uncoated wells served as controls" to account for non-specific binding in ELISA experiments .
Concentration gradients: Using multiple antibody concentrations to establish dose-dependency: "Hemoglobin binding by NTR was inhibited in a dose-dependent manner by TRL186... maximum inhibition (43%) was achieved at 2 µg/mL concentration" .
Placebo controls: In clinical studies of SHR-1906, placebo controls were essential for safety and efficacy comparisons .
Effective dose-response studies should incorporate these design elements:
Broad dose range selection:
Appropriate controls:
Placebo controls at each dose level
Isotype-matched antibody controls
Positive controls where available
Multiple endpoint measurements:
Target binding/receptor occupancy
Functional activity (e.g., inhibition of ligand binding)
Pharmacokinetic parameters
Safety indicators
Clinical responses (for clinical studies)
Time-course evaluations:
Statistical considerations:
Sufficient sample size for statistical power
Appropriate statistical tests for the endpoints measured
Analysis of dose-proportionality and linearity
While receptor occupancy studies were mentioned for SHR-1210 ("receptor occupancy on circulating T lymphocytes was assessed for pharmacodynamics" ), specific methodological details were limited in the search results.
For researchers designing receptor occupancy studies with SHR antibodies, these validated techniques should be considered:
Flow cytometry-based approaches:
Direct detection using labeled antibodies that compete for the same epitope
Pre- and post-dose blood sampling to measure receptor availability
Ex vivo saturation analysis with labeled antibodies
Competitive binding assays:
Measuring displacement of labeled natural ligands
Dose-dependent competition curves
Proximity-based detection:
FRET (Fluorescence Resonance Energy Transfer) for measuring antibody-receptor interactions
Time-resolved fluorescence for enhanced sensitivity
Target modulation biomarkers:
Downstream signaling effects as indirect measures of receptor occupancy
Changes in gene expression profiles
| Technique | Advantages | Limitations | Best Application |
|---|---|---|---|
| Flow cytometry | Single-cell resolution, quantitative | Requires cell samples, potential ex vivo changes | Accessible cell populations (blood) |
| Competitive binding | Can be performed in various matrices | Indirect measure | When target has well-characterized ligands |
| Proximity assays | High sensitivity, can work in complex matrices | Technical complexity | When spatial relationships are important |
| Biomarker modulation | Confirms functional relevance | Indirect measure, multiple influencing factors | Confirmation of mechanism of action |
While explicit statistical methodologies weren't detailed in the search results, standard approaches for antibody dose-response analysis include:
Nonlinear regression modeling:
Pharmacokinetic parameter analysis:
For SHR-1210: Calculation and comparison of half-life values across doses (2.94, 5.61, and 11.0 days for the three dose levels)
For SHR-1906: Analysis of "geometric mean clearance (0.14-0.63 mL/h/kg), geometric mean volume of distribution at steady-state (47.4-75.5 mL/kg), and terminal elimination half-life (51.9-349 h)"
Assessment of dose-proportionality or non-linearity
Survival analysis methods:
Kaplan-Meier survival curves for comparing treatment groups in animal models
Log-rank tests for statistical significance in survival differences
Hazard ratios to quantify protection effects
Multiple comparison corrections:
Bonferroni, Tukey, or false discovery rate methods when comparing multiple dose groups
Accounting for multiple endpoints and timepoints in analysis
Epitope mapping techniques revealed crucial insights into SHR1 antibodies' function. For comprehensive mapping:
Domain-level mapping:
Use recombinant protein fragments representing distinct domains
For anti-Shr antibodies: "TRL186 binding site using ELISA with recombinant Shr proteins encompassing the full-length protein, NTR, NEAT1, or NEAT2"
Results showed "TRL186 generated a strong binding signal with the NTR fragment similar to intact Shr, whereas only background signals were recorded from wells containing NEAT1 or NEAT2"
Fine epitope mapping:
Genetic validation:
Functional correlation:
Connect epitope binding to functional outcomes
For TRL186, binding to the NTR domain correlated with inhibition of hemoglobin binding and in vivo protection
Computational analysis:
Structural modeling and docking simulations
Sequence conservation analysis across variants or species
The search results reveal distinct pharmacokinetic profiles for SHR antibodies:
SHR-1210 (anti-PD-1):
SHR-1906 (anti-CTGF):
Broader pharmacokinetic characterization: "geometric mean clearance was 0.14-0.63 mL/h/kg, geometric mean volume of distribution at steady-state was 47.4-75.5 mL/kg, and terminal elimination half-life was 51.9-349 h"
Nonlinear pharmacokinetics: "peak concentration increased in a dose-proportional manner, whereas the area under the concentration-time curve showed a greater than dose-proportional increase"
Wider variability in half-life (approximately 2-14.5 days)
These differences highlight the unique pharmacokinetic properties of each antibody. Researchers must characterize the specific pharmacokinetic profile of each antibody rather than assuming similarities based on nomenclature.
Immunogenicity data was explicitly reported for SHR-1906:
This significant rate of anti-drug antibody development highlights important considerations for researchers:
Monitoring protocols: Include regular anti-drug antibody testing in study designs
Impact assessment: Evaluate whether anti-drug antibodies affect:
Pharmacokinetics (increased clearance)
Pharmacodynamics (neutralizing activity)
Safety (hypersensitivity reactions)
Efficacy outcomes (reduced clinical benefit)
Antibody engineering: Consider humanization or de-immunization strategies for novel antibodies
Individual variability: Analyze patient factors that might predict immunogenicity risk
Long-term implications: Design studies with sufficient duration to capture delayed immunogenicity