Differential expression of circulating microRNAs in diabetic and healthy lean cats

被引:20
作者
Fleischhacker, Stefanie N. [1 ]
Bauersachs, Stefan [2 ]
Wehner, Astrid [1 ]
Hartmann, Katrin [1 ]
Weber, Karin [1 ]
机构
[1] Univ Munich, Clin Small Anim Med, Ctr Clin Vet Med, D-80539 Munich, Germany
[2] Univ Munich, Gene Ctr, Lab Funct Genome Anal LAFUGA, D-81377 Munich, Germany
关键词
Diabetes mellitus; Feline; MicroRNA; IDENTIFICATION; BIOMARKERS; MIR-483-3P; CANCER; SERUM;
D O I
10.1016/j.tvjl.2013.03.027
中图分类号
S85 [动物医学(兽医学)];
学科分类号
0906 ;
摘要
MicroRNAs (miRNAs) regulate gene expression and play a role in the pathogenesis of human type 2 diabetes mellitus. This study investigated whether miRNA expression profiles differ between healthy and diabetic cats. Total RNA was extracted from sera of healthy lean cats, newly diagnosed diabetic cats and cats in diabetic remission. Microarrays representing 1079 mouse miRNA targets were used to measure miRNA expression in serum samples from eight healthy lean and seven newly diagnosed diabetic cats; 227 distinct miRNAs could be detected. Nineteen miRNAs were differentially expressed in newly diagnosed diabetic cats compared to healthy lean cats, with a false discovery rate of 10%. Hierarchical cluster analysis of these 19 miRNAs grouped healthy lean and newly diagnosed diabetic cats into separate clusters. After correction for multiple testing, only miR-122 and miR-193b reached statistical significance (P < 0.05), with a false discovery rate of 1%. Specific quantitative real-time PCR assays for three target miRNAs (miR-122, miR-193b and miR-483*) were applied to four samples from each of the three groups. miR-122 expression was >40-fold higher in newly diagnosed diabetic cats compared to healthy lean cats and cats in diabetic remission, whereas miR-193b showed >14-fold higher expression. MiR-483* was expressed sixfold higher in newly diagnosed diabetic cats compared to both other groups. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:688 / 693
页数:6
相关论文
共 39 条
[21]   Significance of serum microRNAs in pre-diabetes and newly diagnosed type 2 diabetes: a clinical study [J].
Kong, Lei ;
Zhu, Junjie ;
Han, Wenxia ;
Jiang, Xiuyun ;
Xu, Min ;
Zhao, Yue ;
Dong, Qiongzhu ;
Pang, Zengfen ;
Guan, Qingbo ;
Gao, Ling ;
Zhao, Jiajun ;
Zhao, Lei .
ACTA DIABETOLOGICA, 2011, 48 (01) :61-69
[22]   Identification of tissue-specific microRNAs from mouse [J].
Lagos-Quintana, M ;
Rauhut, R ;
Yalcin, A ;
Meyer, J ;
Lendeckel, W ;
Tuschl, T .
CURRENT BIOLOGY, 2002, 12 (09) :735-739
[23]   Frequency of feline diabetes mellitus and breed predisposition in domestic cats in Australia [J].
Lederer, R. ;
Rand, J. S. ;
Jonsson, N. N. ;
Hughes, I. P. ;
Morton, J. M. .
VETERINARY JOURNAL, 2009, 179 (02) :254-258
[24]   Treatment of newly diagnosed diabetic cats with glargine insulin improves glycaemic control and results in higher probability of remission than protamine zinc and lente insulins [J].
Marshall, R. D. ;
Rand, J. S. ;
Morton, J. M. .
JOURNAL OF FELINE MEDICINE AND SURGERY, 2009, 11 (08) :683-691
[25]   Identification of Mouse Serum miRNA Endogenous References by Global Gene Expression Profiles [J].
Mi, Qing-Sheng ;
Weiland, Matthew ;
Qi, Rui-Qun ;
Gao, Xing-Hua ;
Poisson, Laila M. ;
Zhou, Li .
PLOS ONE, 2012, 7 (02)
[26]   Identification of Muscle-Specific MicroRNAs in Serum of Muscular Dystrophy Animal Models: Promising Novel Blood-Based Markers for Muscular Dystrophy [J].
Mizuno, Hideya ;
Nakamura, Akinori ;
Aoki, Yoshitsugu ;
Ito, Naoki ;
Kishi, Soichiro ;
Yamamoto, Kazuhiro ;
Sekiguchi, Masayuki ;
Takeda, Shin'ichi ;
Hashido, Kazuo .
PLOS ONE, 2011, 6 (03)
[27]   Differential expression of microRNAs in plasma of patients with colorectal cancer: a potential marker for colorectal cancer screening [J].
Ng, E. K. O. ;
Chong, W. W. S. ;
Jin, H. ;
Lam, E. K. Y. ;
Shin, V. Y. ;
Yu, J. ;
Poon, T. C. W. ;
Ng, S. S. M. ;
Sung, J. J. Y. .
GUT, 2009, 58 (10) :1375-1381
[28]   MicroRNAs in Diabetes: Tiny Players in Big Disease [J].
Pandey, Amit K. ;
Agarwal, Priyanka ;
Kaur, Kirandeep ;
Datta, Malabika .
CELLULAR PHYSIOLOGY AND BIOCHEMISTRY, 2009, 23 (4-6) :221-232
[29]   Relative expression software tool (REST©) for group-wise comparison and statistical analysis of relative expression results in real-time PCR -: art. no. e36 [J].
Pfaffl, MW ;
Horgan, GW ;
Dempfle, L .
NUCLEIC ACIDS RESEARCH, 2002, 30 (09)
[30]   miR-375 maintains normal pancreatic α- and β-cell mass [J].
Poy, Matthew N. ;
Hausser, Jean ;
Trajkovski, Mirko ;
Braun, Matthias ;
Collins, Stephan ;
Rorsman, Patrik ;
Zavolan, Mihaela ;
Stoffel, Markus .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (14) :5813-5818