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CIDP Antibodies Target Junction Proteins and Identify Patient Subgroups: An Autoantigenomic Approach
Christian P Moritz1, Yannick Tholance2, Oda Stoevesandt2
1From the Department of Neurology (C.P.M., K.F., J.-P.C., J.-C.A.), and Department of Biochemistry (Y.T.), University Hospital of Saint-Etienne; Synaptopathies and Autoantibodies (C.P.M., Y.T., J.-P.C., J.-C.A.), Institut NeuroMyoGène, INSERM U1217/CNRS UMR 5310, University of Lyon, University Jean-Monnet, Saint-Étienne, France; and Cambridge Protein Arrays Ltd. (O.S.), Babraham Research Campus, United Kingdom. christian.moritz@univ-st-etienne.fr.
Objective:
To discover systemic characteristics in the repertoires of targeted autoantigens in chronic inflammatory demyelinating polyneuropathy (CIDP), we detected the entire autoantigen repertoire of patients and controls and analyzed them systematically.
Methods:
We screened 43 human serum samples, of which 22 were from patients with CIDP, 12 from patients with other neuropathies, and 9 from healthy controls via HuProt Human Proteome microarrays testing about 16,000 distinct human bait proteins. Autoantigen repertoires were analyzed via bioinformatical autoantigenomic approaches: principal component analysis, analysis of the repertoire sizes in disease groups and clinical subgroups, and overrepresentation analyses using Gene Ontology and PantherDB.
Results:
The autoantigen repertoires enabled the identification of a subgroup of 10/22 patients with CIDP with a younger age at onset and a higher frequency of mixed motor and sensory CIDP. IV immunoglobulin therapy responders targeted 3 times more autoantigens than nonresponders. No CIDP-specific autoantibody is present in all patients; however, anchoring junction components were significantly targeted by 86.4% of patients with CIDP. There are potential novel CIDP-specific autoantigens such as the myelination- or axo-glial structure-related proteins actin-related protein 2/3 complex subunit 1B, band 4.1-like protein 2, cadherin-15, cytohesin-1, epidermal growth factor receptor, ezrin, and radixin.
Conclusions:
The repertoire of targeted autoantigens of patients with CIDP differs in a systematic degree from those of controls. Systematic autoantigenomic approaches can help to understand the disease and to discover novel bioinformatical tools and novel autoantigen panels to improve diagnosis, treatment, prognosis, or patient stratification.

