{"product_id":"ontamalimab-elisa-kit-bhe21400253","title":"Ontamalimab ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eOntamalimab ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eOntamalimab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 0.31-5 μg\/mL; analytical sensitivity 0.156 μg\/ml. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003eOntamalimab (SHP647) is a fully human, immunoglobulin G2 , antihuman mucosal addressin cell adhesion molecule-1 (MAdCAM-1) monoclonal antibody being developed for the treatment of ulcerative colitis (UC) and Crohn's disease (CD). A population pharmacokinetic\/pharmacodynamic (PK\/PD) analysis was conducted using clinical phase 2 study data to evaluate the PK and PD of ontamalimab following subcutaneous administrations of 7.5, 22.5, 75, and 225 mg every 4 weeks in patients with moderate to severe UC or CD. A total of 440 patients with UC (n = 249; 56.6%) or CD (n = 191; 43.4%) were included in the analysis. A 2-compartment model with parallel linear and nonlinear elimination adequately characterized concentration-time profiles of ontamalimab. The apparent clearance and volume of distribution were 0.0127 L\/h (0.305 L\/day) and 6.53 L, respectively. Apparent clearance and volume of distribution were mainly dependent on baseline albumin and body weight, respectively. No differences in the PK properties of ontamalimab were observed between patients with UC or CD. The presence of antidrug antibodies did not impact the PK of ontamalimab. Nonlinear elimination occurred at very low concentrations and was unlikely to contribute to the elimination half-life under steady-state conditions. A linear PK\/PD model described the relationship between ontamalimab and free MAdCAM-1. Minimum concentrations of ontamalimab at steady state following 75 mg every 4 weeks were associated with \u0026gt;95% suppression of circulating free MAdCAM-1. The PK\/PD properties characterized support phase 3 testing in UC and CD.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Ontamalimab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Ontamalimab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Ontamalimab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Ontamalimab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Ontamalimab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047352164717,"sku":"DC589018-96T","price":1126.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_21b92a04-ab0a-4777-a8c8-e58f940fa6ae.png?v=1772020760","url":"https:\/\/www.ebiohippo.com\/products\/ontamalimab-elisa-kit-bhe21400253","provider":"BioHippo","version":"1.0","type":"link"}