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Serum proteome profiling of pancreatitis using recombinant antibody microarrays reveals disease-associated biomarker signatures

Sandström Gerdtsson, Anna (author)
Lund University,Lunds universitet,Institutionen för immunteknologi,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Immunotechnology,Departments at LTH,Faculty of Engineering, LTH
Andersson, Roland (author)
Lund University,Lunds universitet,Kirurgi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Surgery (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine
Segersvard, R. (author)
Karolinska Institutet
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Lohr, M. (author)
Karolinska Institutet
Borrebaeck, Carl (author)
Lund University,Lunds universitet,Institutionen för immunteknologi,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Immunotechnology,Departments at LTH,Faculty of Engineering, LTH
Wingren, Christer (author)
Lund University,Lunds universitet,Institutionen för immunteknologi,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Immunotechnology,Departments at LTH,Faculty of Engineering, LTH
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 (creator_code:org_t)
2012-10-29
2012
English.
In: Proteomics Clinical Applications. - : Wiley. - 1862-8354 .- 1862-8346. ; 6:9-10, s. 96-486
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • PURPOSE: 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. EXPERIMENTAL DESIGN: 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 AND CLINICAL RELEVANCE: 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.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kirurgi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Surgery (hsv//eng)

Keyword

Retrospective Studies
Proteomics
Proteome/*analysis
*Protein Array Analysis
Humans
Female
Gene Expression Profiling
80 and over
Area Under Curve
Recombinant Proteins/genetics/immunology/metabolism
Biological Markers/blood
Adult
Aged
Adolescent
Male
Pancreatitis/*blood/pathology
Middle Aged
Single-Chain Antibodies/genetics/*immunology/metabolism
Young Adult

Publication and Content Type

art (subject category)
ref (subject category)

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