November 12, 2014
Siva, Ganesan Vijaiyan
Indian J Exp Biol. 2013 Apr;51(4):292-302.
Author Address: Department of Biochemistry, Bharathi Women’s College, Affiliated to University of Madras, Chennai 600 108, India.
Reference Type: Journal Article
Record Number: 4786Author: Sun, G., Wang, J., Zhang, J., Ma, C., Shao, C., Hao, J., Zheng, J., Feng, X. and Zuo, C.
Title: High-resolution magic angle spinning (1)H magnetic resonance spectroscopy detects choline as a biomarker in a swine obstructive chronic pancreatitis model at an early stage
Journal: Mol Biosyst
Date: Mar 4
Short Title: High-resolution magic angle spinning (1)H magnetic resonance spectroscopy detects choline as a biomarker in a swine obstructive chronic pancreatitis model at an early stage
Alternate Journal: Molecular bioSystems
ISSN: 1742-2051 (Electronic)
Accession Number: 24342968
Disease Models, Animal
*Nuclear Magnetic Resonance, Biomolecular
Abstract: Chronic pancreatitis (CP) is a progressive inflammatory and fibrotic disease of the pancreas which encompasses a variety of clinical syndromes ranging from mild to life-threatening complications. Metabolomics has increasingly been applied to identify biomarkers for disease diagnosis with particular interest in diseases at an early stage. In this study, we tested a swine obstructive CP model by subtotal ligation of the main pancreatic duct, and the metabolic profiles of the Bama miniature swine pancreas were investigated using high-resolution magic angle spinning proton magnetic resonance spectroscopy (HR MAS (1)H MRS) combined with principal components analysis (PCA). Increases in lactate and choline for mild CP and decreases in glycerophosphocholine, phosphocholine, betaine and glycine were observed from normal pancreas to mild, moderate and severe CP. PCA results showed visual separations among the groups. The increase of choline at an early stage of CP and the decrease of glycerophosphocholine, phosphocholine, betaine and glycine reveal the pathogenesis of CP at a molecular level. The MRS results presented here demonstrate the potential of metabolic profiles in discriminating a normal pancreas from different stages of CP, which may be used to achieve CP early diagnosis and timely intervention to prevent irreversible destruction of the pancreas.