title: Application of immunosignatures for diagnosis of valley fever.
abstract: Valley fever (VF) is difficult to diagnose, partly because the symptoms of VF are confounded with those of other community-acquired pneumonias. Confirmatory diagnostics detect IgM and IgG antibodies against coccidioidal antigens via immunodiffusion (ID). The false-negative rate can be as high as 50% to 70%, with 5% of symptomatic patients never showing detectable antibody levels. In this study, we tested whether the immunosignature diagnostic can resolve VF false negatives. An immunosignature is the pattern of antibody binding to random-sequence peptides on a peptide microarray. A 10,000-peptide microarray was first used to determine whether valley fever patients can be distinguished from 3 other cohorts with similar infections. After determining the VF-specific peptides, a small 96-peptide diagnostic array was created and tested. The performances of the 10,000-peptide array and the 96-peptide diagnostic array were compared to that of the ID diagnostic standard. The 10,000-peptide microarray classified the VF samples from the other 3 infections with 98% accuracy. It also classified VF false-negative patients with 100% sensitivity in a blinded test set versus 28% sensitivity for ID. The immunosignature microarray has potential for simultaneously distinguishing valley fever patients from those with other fungal or bacterial infections. The same 10,000-peptide array can diagnose VF false-negative patients with 100% sensitivity. The smaller 96-peptide diagnostic array was less specific for diagnosing false negatives. We conclude that the performance of the immunosignature diagnostic exceeds that of the existing standard, and the immunosignature can distinguish related infections and might be used in lieu of existing diagnostics.
authors: Center for Innovations in Medicine, Arizona State University, Tempe, Arizona, USA.
authors: Krupa Arun
authors: KA
authors: Navalkar
authors: Center for Innovations in Medicine, Arizona State University, Tempe, Arizona, USA.
authors: Stephen Albert
authors: SA
authors: Johnston
authors: Center for Innovations in Medicine, Arizona State University, Tempe, Arizona, USA.
authors: Neal
authors: N
authors: Woodbury
authors: Valley Fever Center for Excellence, University of Arizona, Tucson, Arizona, USA.
authors: John N
authors: JN
authors: Galgiani
authors: Center for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
authors: D Mitchell
authors: DM
authors: Magee
authors: Center for Innovations in Medicine, Arizona State University, Tempe, Arizona, USA.
authors: Zbigniew
authors: Z
authors: Chicacz
authors: Center for Innovations in Medicine, Arizona State University, Tempe, Arizona, USA phillip.stafford@asu.edu.
authors: Phillip
authors: P
authors: Stafford
mesh_terms: D000908:Antibodies, Fungal / Q000097:blood*; D000914:Antibodies, Viral / Q000097:blood*; D003045:Coccidioides / Q000276:immunology*; D003047:Coccidioidomycosis / Q000175:diagnosis* / Q000276:immunology; D005188:False Negative Reactions; D006801:Humans; D007074:Immunoglobulin G / Q000097:blood; D007075:Immunoglobulin M / Q000097:blood; D040081:Protein Array Analysis
chemical_list: D000908:Antibodies, Fungal; D000914:Antibodies, Viral; D007074:Immunoglobulin G; D007075:Immunoglobulin M