Untargeted screening for novel autoantibodies with prognostic value in first-episode psychosis.

Immunological and inflammatory reactions have been suggested to have a role in the development of schizophrenia, a hypothesis that has recently been supported by genetic data. The aim of our study was to perform an unbiased search for autoantibodies in patients with a first psychotic episode, and to explore the association between any seroreactivity and the development of a Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) disorder characterized by chronic or relapsing psychotic symptoms. We collected plasma samples from 53 patients when they were treated for their first-episode psychosis, and 41 non-psychotic controls, after which the patients were followed for a mean duration of 7 years. Thirty patients were diagnosed with schizophrenia, delusional disorder, schizoaffective disorder, bipolar disorder or a long-term unspecified nonorganic psychosis during follow-up, whereas 23 patients achieved complete remission. At the end of follow-up, plasma samples were analyzed for IgG reactivity to 2304 fragments of human proteins using a multiplexed affinity proteomic technique. Eight patient samples showed autoreactivity to the N-terminal fragment of the PAGE (P antigen) protein family (PAGE2B/PAGE2/PAGE5), whereas no such autoreactivity was seen among the controls. PAGE autoreactivity was associated with a significantly increased risk of being diagnosed with schizophrenia during follow-up (odds ratio 6.7, relative risk 4.6). An immunohistochemistry analysis using antisera raised against the N-terminal fragment stained an unknown extracellular target in human cortical brain tissue. Our findings suggest that autoreactivity to the N-terminal portion of the PAGE protein family is associated with schizophrenia in a subset of patients with first-episode psychosis.

The Human Protein Atlas as a proteomic resource for biomarker discovery.

The analysis of tissue-specific expression at both the gene and protein levels is vital for understanding human biology and disease. Antibody-based proteomics provides a strategy for the systematic generation of antibodies against all human proteins to combine with protein profiling in tissues and cells using tissue microarrays, immunohistochemistry and immunofluorescence. The Human Protein Atlas project was launched in 2003 with the aim of creating a map of protein expression patterns in normal cells, tissues and cancer. At present, 11,200 unique proteins corresponding to over 50% of all human protein-encoding genes have been analysed. All protein expression data, including underlying high-resolution images, are published on the free and publically available Human Protein Atlas portal (http://www.proteinatlas.org). This database provides an important source of information for numerous biomedical research projects, including biomarker discovery efforts. Moreover, the global analysis of how our genome is expressed at the protein level has provided basic knowledge on the ubiquitous expression of a large proportion of our proteins and revealed the paucity of cell- and tissue-type-specific proteins.

Characterization of PrEST-based antibodies towards human Cytokeratin-17.

Antibody-based proteomics efforts depend on validated antibodies to ensure correct annotation of analyzed proteins. We have previously argued that a low sequence identity to other proteins is a key feature for antigens used in antibody generation. Thus, a major challenge for whole-proteome studies is how to address families of highly sequence related proteins within the context of generating specific antibodies. In this study, two non-overlapping parts of human Cytokeratin-17, a protein belonging to the intermediate filament family of highly sequence-related proteins, were selected as a model system to study the specificity and cross reactivity of antibodies generated towards such a target. These recombinantly produced Protein Epitope Signature Tags (PrESTs) were immunized in five rabbits each and the batch-to-batch variations in the obtained immune responses were studied by mapping of linear epitopes using synthetic overlapping peptides. The obtained results showed a similar but not identical immune response in the respective antibody groups with a limited number of epitopes being identified. Immunohistochemical analysis of the affinity purified monospecific antibodies on tissue micro arrays resulted in a general recognition of human cytokeratins for all analyzed binders whereas antibodies identified as binding to the most unique parts of the PrESTs showed the most Cytokeratin-17 like staining. The data presented here support the strategy to use sequence identity scores as the main criteria for antigen selection but also indicate the possibility to instead produce a single antibody recognizing a defined group of proteins when the intended targets overall sequence identity score is too high. This type of group-specific antibodies would be an important tool for antibody-based projects aiming for a complete coverage of the human proteome.