title: Serum proteome profiling of pancreatitis using recombinant antibody microarrays reveals disease-associated biomarker signatures.
abstract: OBJECTIVE
  Pancreatitis is an inflammatory state of the pancreas, for which high-performing serological biomarkers are lacking. The aim of the present study was to evaluate the use of affinity proteomics for identifying potential markers of disease and stratifying pancreatitis subtypes.
  
  
  METHODS
  High-content, recombinant antibody microarrays were applied for serum protein expression profiling of 113 serum samples from patients with chronic, acute, and autoimmune pancreatitis, as well as healthy controls. The sample groups were compared using supervised classification based on support vector machine analysis.
  
  
  RESULTS
  This discovery study showed that pancreatitis subtypes could be discriminated with high accuracy. Using unfiltered data, the individual subtypes, as well as the combined pancreatitis cohort, were distinguished from healthy controls with high AUC values (0.96-1.00). Moreover, characteristic protein patterns and AUC values in the range of 0.69-0.95 were observed for the individual pancreatitis entities when compared to each other, and to all other samples combined.
  
  
  CONCLUSIONS
  This study demonstrated the potential of the antibody microarray approach for stratification of pancreatitis. Distinct candidate multiplex serum biomarker signatures for chronic, acute, and autoimmune pancreatitis were defined, which could enhance our fundamental knowledge of the underlying molecular mechanisms, and potentially lead to improved diagnosis.
authors.affiliation: Department of Immunotechnology, Lund University, Lund, Sweden; CREATE Health, Lund University, Lund, Sweden.
authors.forename: Anna
authors.initials: A
authors.lastname: Sandström
authors.forename: Roland
authors.initials: R
authors.lastname: Andersson
authors.forename: Ralf
authors.initials: R
authors.lastname: Segersvärd
authors.forename: Mattias
authors.initials: M
authors.lastname: Löhr
authors.forename: Carl A K
authors.initials: CA
authors.lastname: Borrebaeck
authors.forename: Christer
authors.initials: C
authors.lastname: Wingren
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D019540:Area Under Curve; D015415:Biomarkers / Q000097:blood; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D008297:Male; D008875:Middle Aged; D010195:Pancreatitis / Q000097:blood* / Q000473:pathology; D040081:Protein Array Analysis; D020543:Proteome / Q000032:analysis*; D040901:Proteomics; D011994:Recombinant Proteins / Q000235:genetics / Q000276:immunology / Q000378:metabolism; D012189:Retrospective Studies; D057127:Single-Chain Antibodies / Q000235:genetics / Q000276:immunology* / Q000378:metabolism; D055815:Young Adult
chemical_list: D015415:Biomarkers; D020543:Proteome; D011994:Recombinant Proteins; D057127:Single-Chain Antibodies