title: [Proteomics and autoantibody].
abstract: Autoimmune response is diverse. This diversity is thought not to take place at the beginning of the autoimmune process but to occur as the disease evolves. It is mainly the consequence of the so-called epitope-spreading phenomenon and of the cross-reactivity of antibodies. Analysing autoantibody repertoire constitutes a powerful means to understand physiopathological processes at work in various diseases, mainly autoimmune diseases. In particular this analysis opens the way to precisely identify autoantigens and their changes in various pathological situations, and allows providing new biological markers in chronic inflammatory diseases. New methodologies have recently emerged for the analysis of the autoantibody repertoire in a given individual. They propose diagnostic approaches no more related upon few markers but founded upon analysis of global changes of the antibody repertoire. They belong to methodologies called target-oriented proteomics. Their common feature is to isolate autoantigens by means of affinity chromatography based upon antibody/antigen reactions. Autoantibodies to be studied interact with a protein substratum susceptible to include autoantibody targets. These interactions take place on solid macro- or microsurfaces, i.e. membrane filters or chips. Several strategies can be used for locating the specific autoantibody/autoantigen complexes and for identifying behind autoantigens. In this paper three approaches, namely, the recombinant protein chips, the SELDI techniques and the 2-D gel electrophoresis linked to mass spectrometry are described and compared.
authors.affiliation: INSERM U.519, Faculté de médecine-pharmacie, 22 boulevard Gambetta, 76183 Rouen Cedex, France.
authors.forename: Nadine
authors.initials: N
authors.lastname: Machour
authors.forename: Danièle
authors.initials: D
authors.lastname: Gilbert
authors.forename: Olivier
authors.initials: O
authors.lastname: Vittecoq
authors.forename: Odile
authors.initials: O
authors.lastname: Costa
authors.forename: François
authors.initials: F
authors.lastname: Tron
authors.forename: Roland
authors.initials: R
authors.lastname: Charlionet
mesh_terms: D001323:Autoantibodies; D001324:Autoantigens; D006801:Humans; D018448:Models, Immunological; D040901:Proteomics
chemical_list: D001323:Autoantibodies; D001324:Autoantigens