OLE16 Antibody

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Description

Oleuropein (OLE) and Antibody Synergy in Therapeutics

Oleuropein, a phenolic compound from olive leaves, enhances antibody-based therapies by modulating immune responses. Key findings include:

  • Neuroprotection: OLE at 16 mg/kg body weight significantly reduced oxidative stress markers (MDA, SOD, catalase) and restored dopaminergic neurons in rotenone-induced Parkinson’s disease models .

  • Combination with PD-1 Antibodies: OLE reprograms myeloid-derived suppressor cells and tumor-associated macrophages, improving responses to PD-1/PD-L1 blockade immunotherapy .

Table 1: OLE Dosage Effects in Parkinson’s Disease Models

ParameterRotenone GroupOLE 16 mg/kg Groupp-value
MDA (lipid peroxidation)↑ High↓ 63% reduction< 0.001
SOD activity↓ 45%↑ Normalized< 0.001
TH-positive neurons↓ 70%↑ 85% restoration< 0.001

OV-16 IgG4 Antibody in Onchocerciasis Diagnostics

The OV-16 antigen is critical for detecting Onchocerca volvulus infections. Notable applications:

  • Diagnostic Performance: OV-16 IgG4 ELISA showed 88.2% sensitivity and 99.7% specificity in distinguishing onchocerciasis from other parasitic infections .

  • Field Use: OV-16 rapid diagnostic tests (RDTs) demonstrated 96.4% agreement between 30-minute and 24-hour readings, though cross-reactivity with Loa loa microfilaremia was noted .

Table 2: OV-16 IgG4 Test Characteristics

MetricValue
Sensitivity88.2%
Specificity99.7%
Time to seroconversion15 months
Cross-reactivity riskLow (≤1.2%)

Oleclumab (Anti-CD73 Antibody) in Cancer Therapy

Oleclumab (MEDI9447), a monoclonal antibody targeting CD73, inhibits adenosine production in the tumor microenvironment:

  • Clinical Trials: In advanced solid tumors, oleclumab combined with durvalumab (anti-PD-L1) achieved 9.5% objective response rate and 16.0% 6-month progression-free survival .

  • Mechanism: Reduces immunosuppressive adenosine via CD73 internalization and catalytic inhibition .

Table 3: Oleclumab Clinical Outcomes

Tumor TypeMonotherapy Response RateCombination Response Rate
Colorectal Cancer2.2%9.5%
Pancreatic Cancer0%6.7%

Hypothetical Context for "OLE16 Antibody"

If "OLE16" refers to an experimental antibody combining oleuropein’s immunomodulatory properties (e.g., at 16 mg/kg doses) with antibody engineering, current evidence suggests:

  • Oleuropein’s Role: Enhances BDNF/TrkB signaling and reduces α-synuclein aggregation, potentiating antibody efficacy in neurodegeneration .

  • Antibody-OLE Synergy: Preclinical data support OLE’s ability to improve checkpoint inhibitor responses, though no direct "OLE16" antibody has been reported .

Research Gaps and Future Directions

  • Target Identification: No antibody explicitly named "OLE16" exists in indexed literature. Clarify whether the term refers to OV-16, oleclumab, or an OLE-antibody conjugate.

  • Clinical Validation: Oleuropein’s adjuvant effects warrant exploration in antibody-drug conjugates or bispecific antibodies.

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
OLE16; OLE1; Oleosin Zm-I; Lipid body-associated major protein; Lipid body-associated protein L3; Oleosin 16 kDa
Target Names
OLE16
Uniprot No.

Target Background

Function
OLE16 antibody targets a protein that potentially plays a structural role in stabilizing lipid bodies during seed desiccation. This protein prevents the coalescence of oil within the lipid body. It likely interacts with both lipid and phospholipid components of lipid bodies. Additionally, it may provide recognition signals for specific lipases, facilitating lipolysis during seedling growth.
Database Links
Protein Families
Oleosin family
Subcellular Location
Lipid droplet. Membrane; Multi-pass membrane protein. Note=Surface of oil bodies. Oleosins exist at a monolayer lipid/water interface.

Q&A

What is the OV-16 antigen and why is it significant for onchocerciasis research?

OV-16 is a recombinant phosphatidylethanolamine-binding protein of Onchocerca volvulus that localizes to the hypodermis, cuticle, and uterus of female O. volvulus parasites . This antigen has become significant in onchocerciasis research because it elicits a highly specific antibody response in individuals exposed to O. volvulus. The World Health Organization has incorporated monitoring antibody responses to OV-16 in children as part of its guidelines for demonstrating the absence of onchocerciasis transmission in elimination programs . The significance of OV-16 lies in its ability to provide a non-invasive, more sensitive alternative to traditional skin snip microscopy, particularly in low-transmission settings where microfilarial loads are typically lower .

Which antibody isotype and subclass are most informative for OV-16 detection?

Research demonstrates that IgG4 is the most informative antibody subclass response to the OV-16 antigen . Analysis of antibody responses in laboratory-inoculated non-human primates (NHPs) evaluated quarterly across IgM and all four IgG subclasses revealed a well-defined IgG4 reactivity pattern, with moderate IgG1 antibody responses also observed . In contrast, reactivity by IgG2, IgG3, and IgM did not show clear patterns in response to infection . This targeted focus on IgG4 has enhanced the specificity of the assay, contributing to its high performance characteristics (sensitivity 88.2%, specificity 99.7%) as determined through receiver operator characteristic analysis using serum panels from infected individuals and controls .

How does OV-16 antibody detection compare to traditional diagnostic methods for onchocerciasis?

OV-16 antibody detection, particularly IgG4 ELISA, offers several advantages over traditional skin snip microscopy for onchocerciasis diagnosis. While skin snip microscopy is sensitive in hyperendemic or untreated populations where infections result in high microfilaria loads, this method has poor sensitivity in low-transmission settings or areas undergoing treatment where microfilarial loads are significantly reduced . Detection of anti-OV-16 IgG4 is both more sensitive and less invasive than skin snip microscopy . This enhanced sensitivity makes the OV-16 ELISA particularly valuable for monitoring disease transmission in the Americas and parts of Africa where elimination efforts are underway . Furthermore, the non-invasive nature of antibody testing increases acceptance among communities, facilitating more comprehensive surveillance efforts compared to the discomfort associated with skin snip procedures.

What is the temporal evolution of OV-16 antibody responses and how does it correlate with microfilariae detection?

Studies using laboratory-inoculated non-human primates have provided valuable insights into the temporal evolution of anti-OV-16 antibody responses. Monthly testing revealed that NHPs developed anti-OV-16 IgG4 on average at 15 months post-inoculation, with a range of 10-18 months . Remarkably, this timeline closely parallels the average time to detectable microfilariae (mf), which was also 15 months (range: 11-25 months) . This correlation suggests that anti-OV-16 IgG4 responses typically emerge around the same time that the infection becomes patent (i.e., when microfilariae become detectable in skin snips). Furthermore, the research demonstrated that IgG4 responses were observed only among animals with detectable microfilariae (N=5), with four of these animals showing declines in antibody responses once microfilariae cleared . These findings indicate a potential relationship between active infection and sustained antibody response.

What factors can influence the performance characteristics of OV-16 ELISA in field settings?

The performance of OV-16 ELISA in field settings can be influenced by multiple factors that researchers must consider. Based on the refinement studies conducted, key parameters affecting assay performance include antigen concentration, incubation temperature, and chromogenic substrate reaction time . Optimization studies determined that reducing antigen concentration from 1.0 to 0.5 μg/well and setting incubation temperatures to 37°C rather than room temperature improved assay performance . Additionally, the optimal time for chromogenic substrate reaction was determined based on confidence intervals for the upper and lower boundaries of the assay at different time points (15, 30, 45, and 60 minutes) .

How might antibody kinetics inform elimination strategies for onchocerciasis?

Understanding the kinetics of anti-OV-16 antibody responses provides critical insights for designing and evaluating elimination strategies. The observation that antibody responses develop concurrently with patent infection (around 15 months post-exposure) and decline following clearance of microfilariae has significant implications for surveillance programs . These findings suggest that children born after transmission interruption should not develop antibody responses, making surveillance of antibody prevalence in children an effective indicator of ongoing transmission.

What are the critical parameters for optimizing OV-16 IgG4 ELISA performance?

Optimization of the OV-16 IgG4 ELISA requires careful attention to several methodological parameters that can significantly impact assay performance. Based on the refinement studies, researchers should consider the following critical parameters:

  • Antigen concentration: Reducing the concentration from 1.0 to 0.5 μg/well improved assay performance .

  • Incubation temperature: Setting incubation temperatures to 37°C rather than room temperature enhanced consistency and reaction kinetics .

  • Development time: The optimal time for chromogenic substrate reaction should be determined based on confidence intervals (CIs) for the upper and lower boundaries of the assay. The reaction time is considered optimal when values and CI of the upper asymptote (D) are within the dynamic range of ELISA optical density (0.0-3.99) and when the ratios of their CIs divided by the parameter (CI D/D) are less than 10% .

  • Validation panels: Using well-characterized serum panels that include true positive samples (confirmed by multiple methods) and a diverse set of negative controls, including individuals with other parasitic infections, is essential for establishing accurate cut-off values .

How should researchers address potential cross-reactivity in OV-16 antibody testing?

  • Include appropriate regional controls: When implementing the assay in a new area, researchers should incorporate control samples from individuals with confirmed local parasitic infections to assess region-specific cross-reactivity.

  • Focus on IgG4: The specificity of the assay is significantly enhanced by focusing on the IgG4 subclass rather than total IgG, as demonstrated by the well-defined IgG4 reactivity pattern compared to other subclasses .

  • Combine with confirmatory testing: In surveillance settings where false positives could impact elimination decisions, researchers should consider confirmatory testing strategies that may include PCR-based methods or alternative antigen targets.

  • Implement statistical adjustments: In prevalence studies conducted in areas with known cross-reactive parasites, statistical adjustments based on the estimated false-positive rate can improve the accuracy of transmission assessments.

What standardization approaches should be implemented for multi-center OV-16 antibody studies?

Standardization is essential for comparing results across different laboratories and field settings in multi-center studies. Researchers should implement the following approaches:

  • Reference standards: Establish and distribute calibrated reference standards (positive and negative controls) to all participating laboratories to enable normalization of results .

  • Detailed protocol documentation: Provide a comprehensive, step-by-step protocol with specific reagent information, equipment requirements, and quality control parameters, similar to the detailed protocol included as a Supplemental File in the refined ELISA studies .

  • Proficiency testing: Implement regular proficiency testing where all laboratories test the same panel of blinded samples to assess inter-laboratory variability.

  • Centralized validation: Consider initial validation at a reference laboratory before deploying to field settings, particularly for critical surveillance in areas approaching elimination status.

  • Data standardization: Develop standardized data collection templates and analysis approaches to ensure consistent interpretation of results across sites.

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