Ofloxacin Monoclonal Antibody

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Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we can ship your order within 1-3 business days of receipt. Delivery time may vary based on your location and chosen shipping method. For precise delivery timelines, please contact your local distributor.
Synonyms
Oflocee,oflocet, oflocin, orocin, tarivid
Target Names
OFX

Q&A

What are the primary research applications of ofloxacin-specific monoclonal antibodies?

Ofloxacin-specific monoclonal antibodies are primarily used in two major research areas:

  • Detection of antibiotic residues: High-sensitivity monoclonal antibodies are developed to detect ofloxacin residues in animal-derived foods. This application is critical for food safety monitoring, as ofloxacin overdose in animal farming may lead to residues in food products that can cause adverse human health effects .

  • Combinatorial therapeutic approaches: Monoclonal antibodies are used in combination with ofloxacin to enhance treatment efficacy, particularly against bacterial biofilms. This research direction explores how antibodies that target specific bacterial components can disrupt protective biofilms and increase antibiotic effectiveness .

How are monoclonal antibodies developed for ofloxacin detection?

The development of monoclonal antibodies for ofloxacin detection follows a systematic process:

  • Hapten design and modification: Researchers re-synthesize ofloxacin hapten (often with structural modifications) to improve sensitivity. For example, removing a methyl group from original ofloxacin improves sensitivity through heterologous coating approaches .

  • Complete antigen synthesis: The hapten is coupled with carrier proteins (typically BSA for immunogens and OVA for coating antigens) using activation methods such as the activated ester method .

  • Immunization and cell fusion: BALB/c mice are immunized with the prepared immunogen, followed by fusion of spleen cells with Sp 2/0 myeloma cells to create hybridoma cell lines .

  • Screening and subcloning: Positive hybridoma cells are screened using ic-ELISA and subcloned three times by limited dilution to obtain pure cell lines .

  • Antibody production and purification: Selected hybridoma cell lines are used to produce monoclonal antibodies, which are then purified from ascites using methods such as ammonium sulfate precipitation .

What are the key characteristics of ofloxacin monoclonal antibodies?

High-quality ofloxacin monoclonal antibodies exhibit several important characteristics:

  • High affinity: Effective antibodies demonstrate affinity constants in the range of 10^9 to 10^10 L/mol. For example, one study reported a Ka value of 9.85 × 10^9 L/mol for their ofloxacin antibody .

  • High sensitivity: The IC50 (half maximal inhibitory concentration) for well-designed ofloxacin antibodies can reach as low as 0.13 ng/mL, with detection limits around 0.033 ng/mL .

  • Specificity profile: While high specificity is desirable, some cross-reactivity with structurally similar compounds may occur. For example, one study found minimal cross-reactivity (<0.1%) with lomefloxacin, pefloxacin, ciprofloxacin, and norfloxacin, but higher cross-reactivity (86.67%) with marbofloxacin .

  • Antibody class: The antibody subtype is typically determined, with IgG2a being commonly reported for the heavy chain and kappa for the light chain .

How are antibody affinity, sensitivity, and specificity determined for ofloxacin monoclonal antibodies?

Researchers employ multiple methodological approaches to characterize the key parameters of ofloxacin monoclonal antibodies:

Affinity determination:
The affinity constant (Ka) is typically determined using ic-ELISA with multiple coating antigen concentrations. The calculation formula is:

Ka = [Ab]t/([Ab]t−[Ab]b)×1/[Ag]t

where n = [Ag]t/[Ag′]t, with "[Ag]t" and "[Ag′]t" representing different coating antigen concentrations, and "[Ab]t" and "[Ab′]t" being the concentrations of antibody at 50% OD450 nm at these coating antigen concentrations .

Sensitivity measurement:
Sensitivity is expressed as the half inhibitory concentration (IC50) determined through competitive binding assays. The detection limit is typically calculated as the IC10 or IC20 value from the standard curve .

Specificity assessment:
Cross-reactivity (CR) is calculated using the formula:

CR (%) = (IC50 of target analyte / IC50 of cross-reactant) × 100

A comprehensive panel of structurally related compounds is tested to establish the specificity profile .

Table 1: Example Cross-Reactivity Profile of an Ofloxacin Monoclonal Antibody

Chemical CompoundIC50 (ng/mL)CR (%)
OFL0.13100
MBF0.1586.67
LOM>500<0.1
PEF>500<0.1
CIP>500<0.1
NOR>500<0.1

Note: OFL = Ofloxacin, MBF = Marbofloxacin, LOM = Lomefloxacin, PEF = Pefloxacin, CIP = Ciprofloxacin, NOR = Norfloxacin

What optimization strategies are employed for developing highly sensitive ofloxacin immunoassays?

Several optimization strategies are critical for developing highly sensitive ofloxacin immunoassays:

  • Hapten design optimization: Structural modifications to the ofloxacin hapten, such as removing specific functional groups, can improve antibody sensitivity. The heterologous coating approach (using a modified hapten for coating that differs from the immunizing hapten) has been shown to enhance assay sensitivity .

  • Assay condition optimization: Multiple parameters are systematically optimized:

    • Incubation conditions (temperature and time)

    • Competition time (ranging from 0.125 to 1 hour)

    • Buffer pH (ranging from pH 5 to 9.6)

    • Ionic strength (0% to 2%)

  • Hybridoma selection criteria: Selection is based on multiple parameters including:

    • Antibody titer

    • Inhibition rate

    • IC50 values

    • Amax/IC50 ratio

  • Colloidal gold particle optimization: For immunochromatographic assays, the size and preparation conditions of colloidal gold particles are optimized to ensure maximum sensitivity and visual detection capability .

How do researchers assess the performance of ofloxacin monoclonal antibody-based detection methods in real samples?

Validation of ofloxacin detection methods in real samples involves several methodological approaches:

  • Sample preparation protocols: Specific extraction and cleanup procedures are developed for different sample matrices (meat, milk, etc.) to minimize matrix effects while maximizing recovery .

  • Recovery studies: Samples are spiked with known amounts of ofloxacin at different concentrations to determine recovery rates. Acceptable recovery rates typically range from 80% to 120% .

  • Comparison with reference methods: Results are compared with established analytical methods such as HPLC or LC-MS/MS to validate performance .

  • Determination of practical detection limits: For visual detection methods like immunochromatographic test strips, the visual detection limit is determined through repeated testing by multiple observers. For example, a visual detection limit of 1 ng/g has been reported for ofloxacin test strips in meat products .

How does the combination of monoclonal antibodies with ofloxacin enhance treatment efficacy?

The combination of monoclonal antibodies with ofloxacin represents an innovative approach to enhance therapeutic efficacy through multiple mechanisms:

  • Biofilm disruption: Monoclonal antibodies, particularly those targeting bacterial DNABII proteins, can disrupt the protective extracellular DNA matrix that holds biofilms together. This disruption releases bacteria from the biofilm, making them more susceptible to antibiotic treatment .

  • Increased antibiotic accessibility: By dismantling the biofilm structure, monoclonal antibodies allow ofloxacin to better penetrate and reach previously shielded bacteria .

  • Synergistic killing effect: Studies have demonstrated that the combination of humanized anti-DNABII Fab fragments with ofloxacin can completely eradicate bacterial populations that neither treatment alone could eliminate completely .

  • Reduced treatment duration: Research indicates that combinatorial approaches may significantly shorten the required treatment period. For example, while standard ofloxacin treatment for chronic otitis media typically involves twice-daily administration for 10-14 days, combination therapy has shown efficacy with just a 2-day treatment regimen .

What experimental models are used to evaluate ofloxacin-monoclonal antibody combinations?

Researchers employ various experimental models to evaluate the efficacy of ofloxacin-monoclonal antibody combinations:

  • Animal models of infection:

    • Chinchilla models of otitis media have been extensively used to evaluate the efficacy of ofloxacin combined with humanized anti-DNABII Fab fragments against nontypeable Haemophilus influenzae (NTHI) biofilms .

    • These models include surgical placement of tympanostomy tubes to mimic the clinical scenario of children with chronic post-tympanostomy tube otorrhea .

  • Biofilm quantification methods:

    • Visual documentation of remaining biofilms

    • Weighing of middle ear mucosa with associated biofilms to assess biomass

    • Homogenization and plating of biofilms to quantify bacterial load

    • Sonication of tympanostomy tubes to quantify adherent bacteria

  • Comparative treatment designs:

    • Single vs. combinatorial treatment arms

    • Shortened treatment regimens (e.g., 2 days instead of 10-14 days)

    • Inclusion of appropriate controls (saline, irrelevant antibodies)

Table 2: Example Experimental Design for Testing Ofloxacin-Antibody Combinations

Treatment GroupOfloxacin DosingAntibody DosingDurationEvaluation Timepoint
Saline (control)N/AN/A2 days1 day post-treatment
Ofloxacin alone5 drops 0.3% otic, twice dailyN/A2 days1 day post-treatment
Control antibodyN/AOnce daily2 days1 day post-treatment
Therapeutic antibodyN/AOnce daily2 days1 day post-treatment
Combination therapy5 drops 0.3% otic, twice dailyOnce daily2 days1 day post-treatment

Based on experimental design reported in Humanized Anti-DNABII Fab Fragments Plus Ofloxacin Eradicated Biofilms study

What are the challenges in developing humanized monoclonal antibodies for combination with ofloxacin?

Development of humanized monoclonal antibodies for therapeutic combinations with ofloxacin presents several methodological challenges:

  • Humanization process: Converting mouse monoclonal antibodies to humanized versions requires sophisticated protein engineering to maintain specificity and affinity while reducing immunogenicity. This typically involves grafting the complementarity-determining regions (CDRs) from mouse antibodies onto human antibody frameworks .

  • Fab fragment generation: For some applications, particularly those targeting bacterial biofilms, Fab fragments may be preferred over whole antibodies due to better tissue penetration. The production and purification of Fab fragments require enzymatic digestion and separation techniques that must be optimized for each antibody .

  • Formulation for co-delivery: Developing stable formulations that allow for co-delivery of antibodies with ofloxacin presents pharmaceutical challenges, particularly ensuring compatibility between the protein-based antibody and the small molecule antibiotic .

  • Delivery route optimization: For applications such as otitis media treatment, the delivery route (e.g., through tympanostomy tubes) must be optimized to ensure both components reach the infection site at effective concentrations .

  • Translation to polymicrobial infections: While laboratory studies often focus on single pathogen species, clinical infections are frequently polymicrobial. Developing antibody approaches that work effectively in polymicrobial environments represents a significant challenge .

How might ofloxacin monoclonal antibody research contribute to addressing antibiotic resistance?

Ofloxacin monoclonal antibody research has several potential contributions to addressing antibiotic resistance:

  • Biofilm-targeting strategies: By developing antibodies that disrupt biofilms, researchers may restore the effectiveness of antibiotics against resistant bacteria that use biofilms as a protective mechanism. This approach has shown promise in making previously ineffective antibiotic doses effective again .

  • Enhanced detection of residues: Improved monitoring of antibiotic residues in food products could help enforce regulations that prevent the overuse of antibiotics in agriculture, which is a key driver of resistance development .

  • Alternative pain management: Research into monoclonal antibodies targeting voltage-gated sodium channels could potentially replace opioids for pain management. While not directly related to ofloxacin, this represents an emerging field where monoclonal antibodies could reduce reliance on other problematic drugs .

  • Reduced treatment duration: Combinatorial approaches that shorten the required treatment duration may help improve patient compliance and reduce the selective pressure that drives resistance development .

What emerging technologies are enhancing ofloxacin monoclonal antibody research?

Several emerging technologies are advancing the field of ofloxacin monoclonal antibody research:

  • Advanced immunochromatographic methods: Developments in colloidal gold immunochromatography are improving the sensitivity and field applicability of rapid tests for ofloxacin residues .

  • Computational antibody design: Computer-aided design of antibodies and epitope prediction tools are helping researchers develop antibodies with improved specificity and affinity .

  • Novel biofilm models: More sophisticated in vitro and in vivo biofilm models are enabling better evaluation of antibody-antibiotic combinations against biofilm-embedded bacteria .

  • Single B-cell cloning technologies: Advanced methods for isolating and cloning antibody-producing B cells are accelerating the discovery of novel antibodies with desired properties .

  • Antibody engineering platforms: New platforms for humanization, affinity maturation, and fragment generation are expanding the toolkit available to researchers in this field .

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