Literature DB >> 21968817

Comprehensive miRNome and in silico analyses identify the Wnt signaling pathway to be altered in the diabetic liver.

Kirandeep Kaur1, Amit K Pandey, Swayamprakash Srivastava, Arvind K Srivastava, Malabika Datta.   

Abstract

Aberrant microRNA expression patterns underlie the pathogenesis of diverse diseases, however in a disease as complex as diabetes where the liver exhibits deregulations of normal metabolic processes, the status and role of microRNAs are not yet completely understood. In a step towards unraveling this correlation, we assessed the global microRNA expression profiles in the control and diabetic (db/db) mice liver. These db/db mice were on a C57BLKS/J background and they exhibit diabetic phenotypes that are remarkably similar to those in humans. microRNA microarray profiling revealed 11 miRNAs to be up-regulated and 2 to be down-regulated in the db/db mice liver. Predicted targets of these differentially expressed microRNAs were retrieved from miRanda and TargetScan and the maximum number of commonly predicted targets mapped onto the Wnt signaling pathway that is otherwise conventionally associated with organogenesis and development. Towards validation of this prediction, we found that major components of the Wnt signaling pathway are inhibited in the db/db mice liver. A significant number of these down-regulated genes of the Wnt signaling pathway are predicted targets to the up-regulated miRNAs and specifically our results show that miR-34a and miR-22 decreased the protein levels of their targets. Overexpression of miR-34a and miR-22 and also inhibition of Wnt signaling using specific inhibitors led to increased lipid accumulation in HepG2 cells. Our data suggest that the Wnt signaling pathway could contribute towards the deregulated hepatic behavior in these animals and an altered hepatic miRNA signature could be playing a regulatory role herein.

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Year:  2011        PMID: 21968817     DOI: 10.1039/c1mb05041a

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  21 in total

1.  Identification of microRNA biomarkers in type 2 diabetes: a meta-analysis of controlled profiling studies.

Authors:  Hongmei Zhu; Siu Wai Leung
Journal:  Diabetologia       Date:  2015-02-13       Impact factor: 10.122

2.  Downregulation of miR-181a upregulates sirtuin-1 (SIRT1) and improves hepatic insulin sensitivity.

Authors:  B Zhou; C Li; W Qi; Y Zhang; F Zhang; J X Wu; Y N Hu; D M Wu; Y Liu; T T Yan; Q Jing; M F Liu; Q W Zhai
Journal:  Diabetologia       Date:  2012-04-04       Impact factor: 10.122

3.  The impact of microRNA expression on cellular proliferation.

Authors:  Divya Lenkala; Bonnie LaCroix; Eric R Gamazon; Paul Geeleher; Hae Kyung Im; R Stephanie Huang
Journal:  Hum Genet       Date:  2014-03-08       Impact factor: 4.132

4.  Analysis of circulating extracellular vesicle-associated microRNAs in cortisol-producing adrenocortical tumors.

Authors:  Pál Perge; Ábel Decmann; Raffaele Pezzani; Irina Bancos; Ambrogio Fassina; Michaela Luconi; Letizia Canu; Miklós Tóth; Marco Boscaro; Attila Patócs; Peter Igaz
Journal:  Endocrine       Date:  2018-01-03       Impact factor: 3.633

5.  Inhibition of mitochondrial β-oxidation by miR-107 promotes hepatic lipid accumulation and impairs glucose tolerance in vivo.

Authors:  H Bhatia; B R Pattnaik; M Datta
Journal:  Int J Obes (Lond)       Date:  2015-10-26       Impact factor: 5.095

6.  Histone deacetylase inhibition regulates miR-449a levels in skeletal muscle cells.

Authors:  Shagun Poddar; Devesh Kesharwani; Malabika Datta
Journal:  Epigenetics       Date:  2016-05-16       Impact factor: 4.528

7.  Expression profiling of preadipocyte microRNAs by deep sequencing on chicken lines divergently selected for abdominal fatness.

Authors:  Weishi Wang; Zhi-Qiang Du; Bohan Cheng; Yuxiang Wang; Jing Yao; Yumao Li; Zhiping Cao; Peng Luan; Ning Wang; Hui Li
Journal:  PLoS One       Date:  2015-02-12       Impact factor: 3.240

8.  Systematic analysis of the regulatory functions of microRNAs in chicken hepatic lipid metabolism.

Authors:  Hong Li; Zheng Ma; Lijuan Jia; Yanmin Li; Chunlin Xu; Taian Wang; Ruili Han; Ruirui Jiang; Zhuanjian Li; Guirong Sun; Xiangtao Kang; Xiaojun Liu
Journal:  Sci Rep       Date:  2016-08-18       Impact factor: 4.379

Review 9.  Interactions among Long Non-Coding RNAs and microRNAs Influence Disease Phenotype in Diabetes and Diabetic Kidney Disease.

Authors:  Swayam Prakash Srivastava; Julie E Goodwin; Pratima Tripathi; Keizo Kanasaki; Daisuke Koya
Journal:  Int J Mol Sci       Date:  2021-06-02       Impact factor: 5.923

10.  The miRNAome of the postpartum dairy cow liver in negative energy balance.

Authors:  Attia Fatima; David J Lynn; Padraic O'Boyle; Cathal Seoighe; Dermot Morris
Journal:  BMC Genomics       Date:  2014-04-12       Impact factor: 3.969

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