Cargando…

Analysis of metabolic characteristics in a rat model of chronic pancreatitis using high-resolution magic-angle spinning nuclear magnetic resonance spectroscopy

Pathological and metabolic alterations co-exist and co-develop in the progression of chronic pancreatitis (CP). The aim of the present study was to investigate the metabolic characteristics and disease severity of a rat model of CP in order to determine associations in the observed pathology and the...

Descripción completa

Detalles Bibliográficos
Autores principales: TIAN, BING, MA, CHAO, WANG, JIAN, PAN, CHUN-SHU, YANG, GEN-JIN, LU, JIAN-PING
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237080/
https://www.ncbi.nlm.nih.gov/pubmed/25338744
http://dx.doi.org/10.3892/mmr.2014.2738
_version_ 1782345288517681152
author TIAN, BING
MA, CHAO
WANG, JIAN
PAN, CHUN-SHU
YANG, GEN-JIN
LU, JIAN-PING
author_facet TIAN, BING
MA, CHAO
WANG, JIAN
PAN, CHUN-SHU
YANG, GEN-JIN
LU, JIAN-PING
author_sort TIAN, BING
collection PubMed
description Pathological and metabolic alterations co-exist and co-develop in the progression of chronic pancreatitis (CP). The aim of the present study was to investigate the metabolic characteristics and disease severity of a rat model of CP in order to determine associations in the observed pathology and the metabolites of CP using high-resolution magic-angle spinning nuclear magnetic resonance spectroscopy (HR-MAS NMR). Wistar rats (n=36) were randomly assigned into 6 groups (n=6 per group). CP was established by administering dibutyltin dichloride solution into the tail vein. After 0, 7, 14, 21, 28 and 35 days, the pancreatic tissues were collected for pathological scoring or for HR-MAS NMR. Correlation analyses between the major pathological scores and the integral areas of the major metabolites were determined. The most representative metabolites, aspartate, betaine and fatty acids, were identified as possessing the greatest discriminatory significance. The Spearman’s rank correlation coefficients between the pathology and metabolites of the pancreatic tissues were as follows: Betaine and fibrosis, 0.454 (P=0.044); betaine and inflammatory cell infiltration, 0.716 (P=0.0001); aspartate and fibrosis, −0.768 (P=0.0001); aspartate and inflammatory cell infiltration, −0.394 (P=0.085); fatty acid and fibrosis, −0.764 (P=0.0001); and fatty acid and inflammatory cell infiltration, −0.619 (P=0.004). The metabolite betaine positively correlated with fibrosis and inflammatory cell infiltration in CP. In addition, aspartate negatively correlated with fibrosis, but exhibited no significant correlation with inflammatory cell infiltration. Furthermore, the presence of fatty acids negatively correlated with fibrosis and inflammatory cell infiltration in CP. HR-MAS NMR may be used to analyze metabolic characteristics in a rat model of different degrees of chronic pancreatitis.
format Online
Article
Text
id pubmed-4237080
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-42370802014-11-19 Analysis of metabolic characteristics in a rat model of chronic pancreatitis using high-resolution magic-angle spinning nuclear magnetic resonance spectroscopy TIAN, BING MA, CHAO WANG, JIAN PAN, CHUN-SHU YANG, GEN-JIN LU, JIAN-PING Mol Med Rep Articles Pathological and metabolic alterations co-exist and co-develop in the progression of chronic pancreatitis (CP). The aim of the present study was to investigate the metabolic characteristics and disease severity of a rat model of CP in order to determine associations in the observed pathology and the metabolites of CP using high-resolution magic-angle spinning nuclear magnetic resonance spectroscopy (HR-MAS NMR). Wistar rats (n=36) were randomly assigned into 6 groups (n=6 per group). CP was established by administering dibutyltin dichloride solution into the tail vein. After 0, 7, 14, 21, 28 and 35 days, the pancreatic tissues were collected for pathological scoring or for HR-MAS NMR. Correlation analyses between the major pathological scores and the integral areas of the major metabolites were determined. The most representative metabolites, aspartate, betaine and fatty acids, were identified as possessing the greatest discriminatory significance. The Spearman’s rank correlation coefficients between the pathology and metabolites of the pancreatic tissues were as follows: Betaine and fibrosis, 0.454 (P=0.044); betaine and inflammatory cell infiltration, 0.716 (P=0.0001); aspartate and fibrosis, −0.768 (P=0.0001); aspartate and inflammatory cell infiltration, −0.394 (P=0.085); fatty acid and fibrosis, −0.764 (P=0.0001); and fatty acid and inflammatory cell infiltration, −0.619 (P=0.004). The metabolite betaine positively correlated with fibrosis and inflammatory cell infiltration in CP. In addition, aspartate negatively correlated with fibrosis, but exhibited no significant correlation with inflammatory cell infiltration. Furthermore, the presence of fatty acids negatively correlated with fibrosis and inflammatory cell infiltration in CP. HR-MAS NMR may be used to analyze metabolic characteristics in a rat model of different degrees of chronic pancreatitis. D.A. Spandidos 2015-01 2014-10-22 /pmc/articles/PMC4237080/ /pubmed/25338744 http://dx.doi.org/10.3892/mmr.2014.2738 Text en Copyright © 2015, Spandidos Publications http://creativecommons.org/licenses/by/3.0 This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.
spellingShingle Articles
TIAN, BING
MA, CHAO
WANG, JIAN
PAN, CHUN-SHU
YANG, GEN-JIN
LU, JIAN-PING
Analysis of metabolic characteristics in a rat model of chronic pancreatitis using high-resolution magic-angle spinning nuclear magnetic resonance spectroscopy
title Analysis of metabolic characteristics in a rat model of chronic pancreatitis using high-resolution magic-angle spinning nuclear magnetic resonance spectroscopy
title_full Analysis of metabolic characteristics in a rat model of chronic pancreatitis using high-resolution magic-angle spinning nuclear magnetic resonance spectroscopy
title_fullStr Analysis of metabolic characteristics in a rat model of chronic pancreatitis using high-resolution magic-angle spinning nuclear magnetic resonance spectroscopy
title_full_unstemmed Analysis of metabolic characteristics in a rat model of chronic pancreatitis using high-resolution magic-angle spinning nuclear magnetic resonance spectroscopy
title_short Analysis of metabolic characteristics in a rat model of chronic pancreatitis using high-resolution magic-angle spinning nuclear magnetic resonance spectroscopy
title_sort analysis of metabolic characteristics in a rat model of chronic pancreatitis using high-resolution magic-angle spinning nuclear magnetic resonance spectroscopy
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237080/
https://www.ncbi.nlm.nih.gov/pubmed/25338744
http://dx.doi.org/10.3892/mmr.2014.2738
work_keys_str_mv AT tianbing analysisofmetaboliccharacteristicsinaratmodelofchronicpancreatitisusinghighresolutionmagicanglespinningnuclearmagneticresonancespectroscopy
AT machao analysisofmetaboliccharacteristicsinaratmodelofchronicpancreatitisusinghighresolutionmagicanglespinningnuclearmagneticresonancespectroscopy
AT wangjian analysisofmetaboliccharacteristicsinaratmodelofchronicpancreatitisusinghighresolutionmagicanglespinningnuclearmagneticresonancespectroscopy
AT panchunshu analysisofmetaboliccharacteristicsinaratmodelofchronicpancreatitisusinghighresolutionmagicanglespinningnuclearmagneticresonancespectroscopy
AT yanggenjin analysisofmetaboliccharacteristicsinaratmodelofchronicpancreatitisusinghighresolutionmagicanglespinningnuclearmagneticresonancespectroscopy
AT lujianping analysisofmetaboliccharacteristicsinaratmodelofchronicpancreatitisusinghighresolutionmagicanglespinningnuclearmagneticresonancespectroscopy