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Download fileProteomic Analysis (GeLC–MS/MS) of ePFT-Collected Pancreatic Fluid in Chronic Pancreatitis
dataset
posted on 2016-02-22, 04:31 authored by Joao A. Paulo, Vivek Kadiyala, Linda
S. Lee, Peter
A. Banks, Darwin L. Conwell, Hanno SteenChronic pancreatitis is characterized by inflammation,
fibrosis,
pain, and loss of exocrine function of the pancreas. We aimed to identify
differentially expressed proteins in the ePFT-collected pancreatic
fluid from individuals with chronic pancreatitis (CP; n = 9) and controls with chronic abdominal pain not associated with
the pancreas (NP; n = 9). Using GeLC–MS/MS
techniques, we identified a total of 1391 different proteins in 18
pancreatic fluid samples. Of these proteins, 257 and 413 were identified
exclusively in the control and chronic pancreatitis cohorts, respectively,
and 721 were identified in both cohorts. Spectral counting and statistical
analysis thereof revealed an additional 38 and 77 proteins that were
up- or down-regulated, respectively, in the pancreatic fluid from
individuals with chronic pancreatitis. As expected, gene ontology
analysis illustrated that the largest percentage of differentially
regulated proteins was secreted/extracellular in origin. In addition,
proteins that were down-regulated with statistical significance in
the chronic pancreatitis cohort were determined to have biological
function of proteases, corresponding to the canonical pancreatic insufficiency
associated with chronic pancreatitis. Proteins enriched in the pancreatic
fluid of chronic pancreatitis patients had roles in fibrosis, inflammation,
and pain, whereas digestive enzymes were significantly less abundant.
Our workflow provided a mass spectrometry-based approach for the further
study of the pancreatic fluid proteome, which may lead to the discovery
potential biomarkers of chronic pancreatitis.