Chronic pancreatitis (CP) is a progressively debilitating disease for which only moderate to advanced diagnosis is possible. In addition, the evaluation of chronic abdominal pain under the suspicion of CP results in millions of dollars in healthcare costs and lost wages annually. CP is characterized by chronic inflammation and progressive scarring leading to irreversible damage to the pancreas, resulting in loss of exocrine and endocrine function and in some cases pancreas carcinoma. The diagnosis of CP within a """"""""therapeutic window"""""""" has remained elusive due to our poor understanding of the disease and scarce morphological changes on imaging studies in early and mild disease. The understanding of CP pathogenesis is paramount in early diagnosis. Furthermore, pathophysiology based therapy focused on inflammation could modify or retard disease progression. The health-related topics that I address in this research proposal are: (1) CP pathogenesis is currently poorly understood and (2) clinical diagnosis of CP detects only moderate to advanced disease. I hypothesize that CP-specific proteins can be identified by comprehensive, quantitative proteomic profiling of pancreatic fluid (PF) and that such perturbations of the pancreatic protein secretome is reflected in excreted urine.
In Specific Aim 1 (SA1), I will determine if inflammatory proteins in PF are etiology-specific. Using quantitative mass spectrometry, we will evaluate the PF from 6 different etiologies of advanced CP, plus a non-diseased control group and compare the inflammatory protein profile to generate an inclusion list to be used in Specific Aim 2 (SA2). This list of proteins will be validated in SA2 using two large cohorts (1) non-pancreatic disease and (2) CP with varying degrees of pancreatic deficiency. These results will be important in assessing the value of the proteins discovered in SA1 for diagnostic applications.
In Specific Aim 3 (SA3), I will investigate inflammation-related proteins in the urine of CP subjects using directed quantitative mass spectrometry. I hypothesize that proteins discovered in SA1 and validated in SA2 can also be identified in urine in SA3. CP- specific, inflammatory-related proteins identified using the strategy outlined herein will originate from: (1) Pancreatic fluid-a proximal body fluid which is ideal for investigation of physiological pathways of pancreatic dysfunction and (2) Urine-a noninvasively collected fluid that is well-suited for clinical diagnostics. While there are many classes of proteins that can be investigated with proteomics in PF, I chose to focus on inflammatory proteins because characterization of their expression may have both diagnostic and therapeutic implications. In conforming with the mission of the NIDDK, I aim to determine the identity, relative quantity, cellular origin, and molecular function of distinct sets of CP-specific, inflammatory proteins with the long-term goals of (1) understanding the inflammatory protein response of CP with respect to etiology, (2) identifying candidate diagnostic markers, and (3) discovering targets for directed therapy.

Public Health Relevance

Chronic pancreatitis pathogenesis is currently poorly understood and its clinical diagnosis is limited to moderate to advanced disease. I hypothesize that etiology-specific inflammatory proteins are present in the pancreatic fluid and urine of chronic pancreatitis patients and that these proteins can be used in a mass spectrometry-based assay with diagnostic and therapeutic potential. I aim to comprehensively investigate and comparatively analyze the inflammatory proteome of non-pancreatitis and CP cohorts of different etiologies using cutting-edge and innovative mass spectrometric methodologies.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
7F32DK085835-03
Application #
8257975
Study Section
Special Emphasis Panel (ZDK1-GRB-2 (J1))
Program Officer
Podskalny, Judith M,
Project Start
2010-05-01
Project End
2013-04-30
Budget Start
2012-05-01
Budget End
2013-04-30
Support Year
3
Fiscal Year
2012
Total Cost
$58,442
Indirect Cost
Name
Harvard University
Department
Type
DUNS #
047006379
City
Boston
State
MA
Country
United States
Zip Code
02115
Paulo, Joao A; Gaun, Aleksandr; Kadiyala, Vivek et al. (2013) Subcellular fractionation enhances proteome coverage of pancreatic duct cells. Biochim Biophys Acta 1834:791-7
Kadiyala, Vivek; Lee, Linda S; Banks, Peter A et al. (2013) Cigarette smoking impairs pancreatic duct cell bicarbonate secretion. JOP 14:31-8
Lusczek, Elizabeth R; Paulo, Joao A; Saltzman, John R et al. (2013) Urinary 1H-NMR metabolomics can distinguish pancreatitis patients from healthy controls. JOP 14:161-70
Paulo, Joao A; Kadiyala, Vivek; Brizard, Scott et al. (2013) Short Gel, Long Gradient Liquid Chromatography Tandem Mass Spectrometry to Discover Urinary Biomarkers of Chronic Pancreatitis. Open Proteomics J 6:1-13
Paulo, Joao A; Urrutia, Raul; Kadiyala, Vivek et al. (2013) Cross-species analysis of nicotine-induced proteomic alterations in pancreatic cells. Proteomics 13:1499-1512
Paulo, Joao A; Kadiyala, Vivek; Brizard, Scott et al. (2013) A proteomic comparison of formalin-fixed paraffin-embedded pancreatic tissue from autoimmune pancreatitis, chronic pancreatitis, and pancreatic cancer. JOP 14:405-14
Paulo, Joao A; Kadiyala, Vivek; Brizard, Scott et al. (2013) Post-translational modifications of pancreatic fluid proteins collected via the endoscopic pancreatic function test (ePFT). J Proteomics 92:216-27
Paulo, Joao A; Kadiyala, Vivek; Banks, Peter A et al. (2013) Mass spectrometry-based quantitative proteomic profiling of human pancreatic and hepatic stellate cell lines. Genomics Proteomics Bioinformatics 11:105-13
Paulo, Joao A (2013) Practical and Efficient Searching in Proteomics: A Cross Engine Comparison. Webmedcentral 4:
Serang, Oliver; Paulo, Joao; Steen, Hanno et al. (2013) A non-parametric cutout index for robust evaluation of identified proteins. Mol Cell Proteomics 12:807-12

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