Literature DB >> 26825708

A subset of high-titer anti-factor VIII A2 domain antibodies is responsive to treatment with factor VIII.

Joshua Eubanks1, W Hunter Baldwin2, Rebecca Markovitz1, Ernest T Parker2, Courtney Cox2, Christine L Kempton3, Shannon L Meeks2.   

Abstract

The primary B-cell epitopes of factor VIII (fVIII) are in the A2 and C2 domains. Within the C2 domain, antibody epitope and kinetics are more important than inhibitor titer in predicting pathogenicity in a murine bleeding model. To investigate this within the A2 domain, the pathogenicity of a diverse panel of antihuman fVIII A2 domain monoclonal antibodies (MAbs) was tested in the murine model. MAbs were injected into hemophilia A mice, followed by injection of human B domain-deleted fVIII. Blood loss after a 4-mm tail snip was measured. The following anti-A2 MAbs were tested: high-titer type 1 inhibitors 4A4, 2-76, and 1D4; 2-54, a high-titer type 2 inhibitor; B94, a type 2 inhibitor; and noninhibitory MAbs GMA-012, 4C7, and B25. All high-titer type 1 MAbs produced blood loss that was significantly greater than control mice, whereas all non-inhibitory MAbs produced blood loss that was similar to control. The type 2 MAbs were not pathogenic despite 2-54 having an inhibitor titer of 34 000 BU/mg immunoglobulin G. In addition, a patient with a high-titer type 2 anti-A2 inhibitor who is responsive to fVIII is reported. The discrepancy between inhibitor titer and bleeding phenotype combined with similar findings in the C2 domain stress the importance of inhibitor properties not detected in the standard Bethesda assay in predicting response to fVIII therapy.
© 2016 by The American Society of Hematology.

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Year:  2016        PMID: 26825708      PMCID: PMC4841042          DOI: 10.1182/blood-2015-09-670034

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  30 in total

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  4 in total

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Authors:  Glaivy Batsuli; Wei Deng; John F Healey; Ernest T Parker; W Hunter Baldwin; Courtney Cox; Brenda Nguyen; Joerg Kahle; Christoph Königs; Renhao Li; Pete Lollar; Shannon L Meeks
Journal:  Blood       Date:  2016-07-05       Impact factor: 22.113

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