AIM: To study the potential value and specificity of plasma miR-216a as a marker for pancreatic injury. METHODS: Two rat models were applied in this article: L-arginine-induced acute pancreatitis was used as one model to explore the potential value of plasma miR-216a for detection of pancreatic injury; nonlethal sepsis induced in rats by single puncture cecal ligation and puncture (CLP) was used as the other model to evaluate the specificity of plasma miR-216a compared with two commonly used markers (amylase and lipase) for acute pancreatitis. Plasmas were sampled from rats at indicated time points and total RNA was isolated. Real-Time Quantitative reverse transcriptase-polymerase chain reaction was used to quantify miR-216a in plasmas. RESULTS: In the acute pancreatitis model, among five time points at which plasmas were sampled, miR-216a concentrations were significantly elevated 24 h after arginine administration and remained significantly increased until 48 h after operation (compared with 0 h time point, P < 0.01, Kruskal-Wallis Test). In the CLP model, plasma amylase and lipase, two commonly used biomarkers for acute pancreatitis, were significantly elevated 24 h after operation (compared with 0 h time point, P < 0.01 and 0.05 respectively, Pairwise Bonferroni corrected t-tests), while miR-216a remained undetectable among four tested time points. CONCLUSION: Our article showed for the first time that plasma miR-216a might serve as a candidate marker of pancreatic injury with novel specificity.
AIM: To study the potential value and specificity of plasma miR-216a as a marker for pancreatic injury. METHODS: Two rat models were applied in this article: L-arginine-induced acute pancreatitis was used as one model to explore the potential value of plasma miR-216a for detection of pancreatic injury; nonlethal sepsis induced in rats by single puncture cecal ligation and puncture (CLP) was used as the other model to evaluate the specificity of plasma miR-216a compared with two commonly used markers (amylase and lipase) for acute pancreatitis. Plasmas were sampled from rats at indicated time points and total RNA was isolated. Real-Time Quantitative reverse transcriptase-polymerase chain reaction was used to quantify miR-216a in plasmas. RESULTS: In the acute pancreatitis model, among five time points at which plasmas were sampled, miR-216a concentrations were significantly elevated 24 h after arginine administration and remained significantly increased until 48 h after operation (compared with 0 h time point, P < 0.01, Kruskal-Wallis Test). In the CLP model, plasma amylase and lipase, two commonly used biomarkers for acute pancreatitis, were significantly elevated 24 h after operation (compared with 0 h time point, P < 0.01 and 0.05 respectively, Pairwise Bonferroni corrected t-tests), while miR-216a remained undetectable among four tested time points. CONCLUSION: Our article showed for the first time that plasma miR-216a might serve as a candidate marker of pancreatic injury with novel specificity.
Authors: Balázs Kui; Zsolt Balla; Eszter T Végh; Petra Pallagi; Viktória Venglovecz; Béla Iványi; Tamás Takács; Péter Hegyi; Zoltán Rakonczay Journal: Lab Invest Date: 2013-12-23 Impact factor: 5.662
Authors: Shweta Bhatt; Manoj K Gupta; Mogher Khamaisi; Rachael Martinez; Marina A Gritsenko; Bridget K Wagner; Patrick Guye; Volker Busskamp; Jun Shirakawa; Gongxiong Wu; Chong Wee Liew; Therese R Clauss; Ivan Valdez; Abdelfattah El Ouaamari; Ercument Dirice; Tomozumi Takatani; Hillary A Keenan; Richard D Smith; George Church; Ron Weiss; Amy J Wagers; Wei-Jun Qian; George L King; Rohit N Kulkarni Journal: Cell Metab Date: 2015-08-04 Impact factor: 27.287
Authors: Brian N Chorley; Elnaz Atabakhsh; Graeme Doran; Jean-Charles Gautier; Heidrun Ellinger-Ziegelbauer; David Jackson; Tatiana Sharapova; Peter S T Yuen; Rachel J Church; Philippe Couttet; Roland Froetschl; James McDuffie; Victor Martinez; Parimal Pande; Lauren Peel; Conor Rafferty; Frank J Simutis; Alison H Harrill Journal: Crit Rev Toxicol Date: 2021-05-26 Impact factor: 6.184
Authors: Aaron Smith; John Calley; Sachin Mathur; Hui-Rong Qian; Han Wu; Mark Farmen; Florian Caiment; Pierre R Bushel; Jianying Li; Craig Fisher; Patrick Kirby; Erik Koenig; David G Hall; David E Watson Journal: BMC Genomics Date: 2016-08-30 Impact factor: 3.969