Short Gel, Long Gradient Liquid Chromatography Tandem Mass Spectrometry to Discover Urinary Biomarkers of Chronic Pancreatitis

Chronic pancreatitis (CP) is currently diagnosed using invasive endoscopic as well as radiation and non-radiation-based imaging techniques. However, urine can be safely and non-invasively collected and as such may offer a superior alternative to current techniques of CP diagnosis. We use mass spectrometry-based

Proteomic analysis identified differentially abundant proteins in healthy controls and severe CP patients. Such proteins represent an initial set of targets for directed proteomics experiments for further validation studies. However, larger cohorts will be required to determine if these differences have statistically significant diagnostic potential.

We have performed a comparative quantitative proteomic analysis of urine collected from 5 healthy controls and 5 severe CP patients. Proteins from urine were fractionated briefly on SDS-PAGE and subsequently digested in-gel with trypsin. The resulting peptides were fractionated for 3 hours by reversed-phase liquid chromatography in-line with a mass spectrometer. ProteinPilot software and the QSPEC algorithm identified proteins and determined statistically significant differences between cohorts. In addition, we used a third cohort of non-CP disease patients to filter out those proteins which may be indicative of an ailment other than CP.

We identified over 600 proteins from urine, of which several hundred were either exclusive to or differ quantitatively between healthy controls and severe CP patients. Members of the cathepsin protein family were of significantly higher abundance in the severe CP cohort. In addition, we have identified a core set of 50 proteins in all 15 samples, 25 of which showed no significant difference among the cohorts. Conclusions: Proteomic analysis identified differentially abundant proteins in healthy controls and severe CP patients. Such proteins represent an initial set of targets for directed proteomics experiments for further validation studies. However, larger cohorts will be required to determine if these differences have statistically significant diagnostic potential.