Assessment of polymeric immunoglobulin A and M via detection of the joining chain
Oskam, N.; Keijser, J.; Streutker, M.; Keijzer, S.; Ooijevaar-de Heer, P.; van Mierlo, G.; Derksen, N.; T2B! immunity against SARS-CoV-2 study group, ; Vidarsson, G.; Rispens, T.
Show abstract
Polymeric immunoglobulin M (IgM) and A (IgA) play key roles in systemic and mucosal immunity, yet quantitative assessment of their polymeric forms has been hampered by the lack of robust, high-throughput assays. Polymerization of both isotypes implies incorporation of the joining chain (J chain), making direct detection of integrated J chain an attractive surrogate marker. Here, we report the generation and characterization of a novel panel of monoclonal antibodies targeting human J chain. Binding analyses revealed distinct antibody clusters with differential preferences for IgA-J and/or IgM-J. We developed sensitive ELISAs that allow reliable quantification of J-chain- containing IgM and IgA in recombinant preparations and complex biological samples such as serum and saliva. For IgM, assay performance in serum required mild dissociation of the IgM- CD5L complex, enabling accurate detection of integrated J chain. For IgA, clone 9G10 showed remarkable specificity for IgA-J, with minimal cross-reactivity to IgM. Application of these assays demonstrates that on average, 10% of circulating IgA is J-chain-containing, with proportional contributions of IgA1 and IgA2, and enables high-throughput measurement of antigen-specific polymeric IgA responses, exemplified by SARS-CoV-2 vaccination. These tools provide a long-needed platform to study polymeric antibody dynamics in health, infection, vaccination, and B-cell-driven diseases.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Opsonization by non-neutralizing antibodies can confer protection to SARS-CoV-2 despite Spike-dependent modulation of phagocytosis 95%
- Harnessing mRNA for the expression of monoclonal IgG and IgA in non-human primates. 95%
- Novel ELISA protocol links pre-existing SARS-CoV-2 reactive antibodies with endemic coronavirus immunity and age and reveals improved serologic identification of acute COVID-19 via multi-parameter detection 94%
Similar papers in this journal
- Targeting HIV Env immunogens to B cell follicles in non-human primates through immune complex or protein nanoparticle formulations 92%
- Vaccine genetics of IGHV1-2 VRC01-class broadly neutralizing antibody precursor naive human B cells 92%
- Immunofocusing on the conserved fusion peptide of HIV envelope glycoprotein in rhesus macaques 92%
Similar papers in this journal
- Towards middle-up analysis of polyclonal antibodies: subclass-specific N-glycosylation profiling of murine immunoglobulin G (IgG) by means of HPLC-MS 94%
- Serological fingerprints link antiviral activity of therapeutic antibodies to affinity and concentration 93%
- Serum alpha-mannosidase as an additional barrier to eliciting oligomannose-specific HIV-1-neutralizing antibodies 93%
Similar papers in this journal
- Multiplex ACE2-RBD Binding Inhibition Assay: An Integrated Tool for Assessing Neutralizing Antibodies to SARS-CoV-2 Variants and Protection against Breakthrough Infections 91%
- Highly versatile antibody binding assay for the detection of SARS-CoV-2 infection 91%
- Methodological approaches to optimize multiplex oral fluid SARS-CoV-2 IgG assay performance and correlation with serologic and neutralizing antibody responses 90%
Similar papers in this journal
- A Versatile Soluble Siglec Scaffold for Sensitive and Quantitative Detection of Glycan Ligands 94%
- IgG1 responses following SARS-CoV-2 infection are polyclonal and highly personalized, whereby each donor and each clone displays a distinct pattern of cross-reactivity against SARS-CoV-2 variants 94%
- Development of an improved blood-stage malaria vaccine targeting the essential RH5-CyRPA-RIPR invasion complex 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.