Nature and Clonality of the Fluoresceinated Secondary Antibody in Luminex Multiplex Bead Assays Are Critical Factors for Reliable Monitoring of Serum HLA Antibody Levels in Patients for Donor Organ Selection, Desensitization Therapy, and Assessment of the Risk for Graft Loss

Luminex multiplex immunoassays enable simultaneous monitoring of Abs against multiple Ags in autoimmune, inflammatory, and infectious diseases. The assays are used extensively to monitor anti-HLA Abs in transplant patients for donor organ selection, desensitization, and assessing the risk for graft rejection. To monitor IgG Abs, fluoresceinated IgG constant H chain-binding polyclonal F(ab') 2 ( IgHPolyFab ) is used as the fluoresceinated secondary Ab (2nd-Ab), whereas IgG subclasses are monitored with Fc-specific monoclonal whole IgG ( FcMonoIgG ). The fluorescent signal from the 2nd-Ab is measured as mean florescence intensity (MFI). When IgHPolyFab is used, the signal is amplified as a result of the binding of multiple polyclonal Fabs to the C region of primary IgH. The reliability of such amplification for Ab measurements was not validated, nor were MFIs compared with 1:1 binding of FcMonoIgG o primary Abs. Comparing the MFIs of anti-HLA Abs obtained with IgHPolyFab and FcMonoIgG against normal human sera, IVIg, and allograft recipients' sera, it was observed that the number of HLA-Abs was notably higher with IgHPolyFab han with FcMonoIgG The MFIs of anti-HLA Abs also remained higher with IgHPolyFab in the normal sera and in IVIg, but the reverse was true when the autologous and allogeneic IgG concentrations were augmented in allograft recipients. Indeed, MFIs of the de novo allo-HLA Abs were markedly higher with FcMonoIgG han with IgHPolyFab. Serum titration established the superiority of FcMonoIgG for monitoring MFIs of de novo allo-HLA Abs in allograft recipients. Avoiding false amplifications of the number and MFIs of anti-HLA IgG with FcMonoIgG may minimize immunosuppressive therapies, maximize the number of donors for patients waiting for allografts, and enable better prediction of graft rejection.