The term "LCR25" does not correspond to any known antibody, receptor, or biomarker in immunology or oncology literature. Potential explanations for this discrepancy include:
Typographical error: The intended term might be CCR5, a well-characterized chemokine receptor targeted by antibodies such as leronlimab (PRO 140), which is extensively documented in the provided sources .
Hypothetical nomenclature: "LCR25" may refer to an experimental or developmental compound not yet published or indexed in accessible databases.
If the query pertains to CCR5-targeting antibodies, leronlimab is the most extensively studied candidate. Key findings include:
The absence of "LCR25" in scientific databases suggests:
Validation of nomenclature: Cross-referencing with standardized antibody databases (e.g., UniProt, R&D Systems) is critical.
Exploratory research: Novel antibodies may exist in proprietary pipelines or preclinical stages without public disclosure.
Verify nomenclature: Confirm the correct spelling or alternative designations (e.g., CCR5, CCR2).
Explore analogous targets: Review literature on CCR5/CCR2 inhibitors, such as leronlimab or murine CCR2 antibodies .
Consult proprietary databases: Patent filings or industry pipelines may contain undisclosed candidates.
KEGG: ath:AT4G29305
UniGene: At.63310
Leronlimab is a CCR5-binding humanized immunoglobulin G4 monoclonal antibody that functions as a competitive inhibitor of the CCR5 receptor. Unlike small molecule CCR5 antagonists, leronlimab binds directly to CCR5 on the cell surface, preventing its interaction with natural ligands and viral proteins that utilize this receptor for cell entry .
When bound to CCR5, leronlimab blocks the binding of HIV envelope proteins and natural chemokines, effectively inhibiting CCR5-mediated signaling. Interestingly, leronlimab appears to stabilize CCR5 expression on the cell surface rather than inducing internalization of the receptor, an unexpected mechanism that may contribute to its therapeutic effects .
Two established methods for measuring CCR5 receptor occupancy have been validated for leronlimab:
Competitive binding assay: This approach uses fluorescently-labeled competitor antibodies that bind to epitopes distinct from leronlimab's binding site. The reduction in binding of these reporter antibodies indicates the degree of CCR5 occupancy by leronlimab .
Direct detection method: This utilizes labeled anti-human IgG4 antibodies that directly bind to leronlimab when it occupies CCR5 receptors on cell surfaces. The signal intensity correlates with receptor occupancy levels .
Both methods can be employed for longitudinal monitoring of anti-CCR5 therapeutic antibody blockade efficacy in both non-human primates and humans, with flow cytometry being the primary analytical platform .
While CCR5 is highly conserved between humans and rhesus macaques, important differences exist that affect experimental design:
These differences must be considered when designing dose-escalation studies and interpreting results from non-human primate models before translation to human clinical trials.
When designing dose-response studies for CCR5 antibodies like leronlimab across different disease models, researchers should employ the following methodology:
Dose selection rationale:
For HIV/SHIV prevention models: Evidence shows that 10 mg/kg weekly provides significant but partial protection, while 50 mg/kg biweekly achieves complete protection in macaque models .
For inflammatory conditions: Consider starting with lower doses (e.g., 5-10 mg/kg) based on receptor occupancy requirements.
Treatment schedule determination:
Monitor receptor occupancy at different timepoints post-administration to establish optimal dosing intervals.
For HIV prevention, maintain >85% receptor occupancy at all times to ensure protection .
For inflammatory conditions like Long COVID, weekly administration may be sufficient based on clinical observations .
Tissue-specific considerations:
Comprehensive evaluation of leronlimab's impact on immune cell populations requires:
Flow cytometry panels should include, at minimum:
CCR5 expression assessment on T cell subsets (naive, central memory, effector memory)
Additional chemokine receptors (CXCR3, CXCR4, CCR2) to evaluate compensatory changes
Activation markers (CD69, CD25, HLA-DR) to monitor T cell activation status
Functional assays:
Long-term monitoring:
This systematic approach allows researchers to distinguish direct antibody effects from secondary immune changes and characterize the immunomodulatory profile of CCR5 blockade.
The unexpected finding that leronlimab treatment increases CCR5+CD4+ T cell levels represents a significant paradox requiring specific experimental approaches:
Mechanistic investigation:
Conduct pulse-chase experiments to determine if increased CCR5+CD4+ T cells result from proliferation, redistribution from tissues, or reduced turnover
Employ transcriptional analysis of CCR5+ cells before and after treatment to identify regulatory changes
Use cell surface half-life studies with tagged CCR5 to determine if leronlimab stabilizes receptor expression
Correlation with clinical outcomes:
Track CCR5+CD4+ T cell levels longitudinally and correlate with symptom improvement
Stratify analysis by responders vs. non-responders to identify predictive patterns
Note that significant increases in cell surface CCR5 levels were observed specifically among leronlimab-treated responders but not in non-responders
Signaling pathway analysis:
This methodological approach addresses the hypothesis that leronlimab normalizes abnormal immune downmodulation rather than simply blocking CCR5 activity.
For HIV research with leronlimab, researchers should implement these methodological approaches:
Prevention studies:
Use appropriate challenge models (e.g., intrarectal SHIV challenge in macaques) with well-characterized viral stocks
Establish receptor occupancy thresholds for prevention (target >90% occupancy)
Monitor protection across multiple exposures to assess durability
Examine tissue biopsies from protected subjects to confirm CCR5 receptor occupancy and absence of viral nucleic acids
Treatment studies:
Design transition protocols from conventional ART to leronlimab monotherapy
Implement rigorous viral load monitoring with lower detection limits
Anticipate and account for transient viral blips, which occur at higher frequency (7.1%) in leronlimab monotherapy compared to combination ART (2.0%)
Include resistance monitoring to detect potential viral escape
Pharmacological considerations:
When investigating leronlimab in inflammatory conditions:
Patient stratification approach:
Outcome measurement strategy:
Implement validated symptom assessment tools specific to the condition
Include objective physiological measurements alongside subjective symptom scores
Monitor changes in inflammatory biomarkers (e.g., IL-6, TNF-α, CCL2) during treatment
Track changes in cell surface CCR5 levels as potential biomarkers of response
Study design elements:
Include appropriate placebo controls and blinding
Consider crossover designs for heterogeneous conditions
Power studies adequately to detect differences in predefined subgroups
Include extended follow-up periods to assess durability of effects
The existing data from Long COVID studies suggest that normalization of immune downmodulation, rather than persistent immune activation, may be the target mechanism to monitor .
Resolving contradictory findings regarding CCR5 expression requires:
Contextual analysis framework:
Distinguish between tissue-specific vs. systemic expression changes
Consider differential expression across cell subpopulations rather than bulk measurements
Account for temporal dynamics of expression patterns during disease progression
Compare findings with expression patterns of related chemokine receptors (CCR2) and ligands
Standardized quantification methods:
Implement absolute quantification of receptor numbers per cell using standardized beads
Report both percentage of positive cells and mean fluorescence intensity
Consider single-cell approaches to identify heterogeneous expression patterns
Use consistent antibody clones and flow cytometry protocols across studies
Integrated data analysis:
Examine correlations between CCR5 expression and corresponding ligand levels
Utilize multivariate analysis to identify confounding variables
Consider genetic factors (e.g., CCR5Δ32 heterozygosity) in human studies
Refer to comparative data from different disease models as shown in this example table:
| Receptor/Chemokine | Rodent Models of Obesity | Obese Patients |
|---|---|---|
| Adipose Tissue | Adipose Tissue | |
| mRNA | Protein | |
| CCR5 | ↑ | ↑ |
| CCL3 | ↑ ↑ | ND |
| CCL4 | ↑ ↑ | ND |
ND: Not Determined; ↑: Increased; ↓: Decreased; ─: No Change
To address variable response patterns to leronlimab:
Predictive biomarker identification:
Perform comprehensive baseline immunophenotyping to identify predictor signatures
Monitor dynamic changes in cell surface CCR5 levels as potential response biomarkers
Correlate baseline CCR5 receptor density with subsequent clinical response
Consider pharmacogenomic analyses to identify genetic determinants of response variability
Mechanistic differentiation protocols:
Integrated response assessment:
Implement composite endpoints that capture both clinical and biological responses
Develop standardized definitions of "response" incorporating multiple parameters
Consider time-to-response in statistical analyses
Design adaptive trials that allow dose adjustments based on early receptor occupancy data
This approach helps distinguish pharmacological failure (insufficient drug exposure or target engagement) from biological resistance to CCR5 blockade.
For accurate CCR5 analysis, researchers should follow these methodological guidelines:
Sample handling protocol:
Process samples within 4-6 hours of collection to prevent receptor modulation
Avoid repeated freeze-thaw cycles of cells for longitudinal studies
For tissue samples, use enzymatic digestion protocols optimized to preserve CCR5 epitopes
Consider fixation impact on antibody binding sites when designing protocols
Staining approach:
Include viability dye to exclude dead cells from analysis
Block Fc receptors prior to antibody staining
Use directly conjugated antibodies when possible to reduce background
Calibrate compensation carefully for multicolor panels including CCR5
Implement consistent gating strategies across timepoints and studies
Controls and validation:
Include fluorescence-minus-one (FMO) controls for accurate gate setting
Use CCR5-negative cells (e.g., from CCR5Δ32 homozygous donors) as biological negative controls when available
Verify results using multiple anti-CCR5 antibody clones that recognize distinct epitopes
Establish internal quality control standards for longitudinal monitoring
These technical considerations are essential for generating reliable and reproducible data regarding CCR5 expression and occupancy measurements.
When designing in vitro assessment of leronlimab against diverse viral isolates:
Viral panel selection criteria:
Include isolates from multiple HIV clades to assess breadth of protection
Incorporate R5-tropic, X4-tropic, and dual-tropic viruses to confirm specificity
Select isolates with known resistance to other entry inhibitors to assess cross-resistance
Consider transmitted/founder viruses for prevention models versus chronic isolates for treatment models
Assay methodology:
Standardize target cell preparation (e.g., activated CD4+ T cells at 1 × 10^6 cells/mL in appropriate media)
Pre-incubate cells with leronlimab at varying concentrations (0.1-100 μg/mL) for 1 hour at 37°C
Infect via spinoculation (1200 × g for 2 hours) for consistent viral entry
Include CCR5Δ32/Δ32 donor cells as biological controls for CCR5-independent entry
Measure viral replication via p24 ELISA or reporter gene expression at multiple timepoints
Data analysis approach:
Calculate IC50/IC90 values for each isolate
Compare potency across viral subtypes
Assess correlation between CCR5 dependence and susceptibility to inhibition
Conduct parallel experiments with small molecule CCR5 antagonists for comparison
This systematic approach allows for comprehensive characterization of leronlimab's antiviral profile against diverse viral targets.