↓ Skip to main content

PLOS

RNA Interference against Discoidin Domain Receptor 2 Ameliorates Alcoholic Liver Disease in Rats

Overview of attention for article published in PLOS ONE, February 2013
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
20 Mendeley
Title
RNA Interference against Discoidin Domain Receptor 2 Ameliorates Alcoholic Liver Disease in Rats
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0055860
Pubmed ID
Authors

Zheng Luo, Huimin Liu, Xiaomeng Sun, Rong Guo, Ruibing Cui, Xiangxing Ma, Ming Yan

Abstract

Discoidin domain receptor 2 (DDR2) is involved in fibrotic disease. However, the exact pathogenic implications of the receptor in early alcoholic liver disease are still controversial. We constructed plasmid vectors encoding short-hairpin RNA against DDR2 to investigate its role in alcoholic liver disease in an immortalized rat hepatic stellate cell line, HSC-T6, and in rats by MTT, RT-PCR and western blot analyses; immunohistochemistry and electron microscopy. Alcohol-induced upregulation of DDR2 was associated with the expression of matrix metalloproteinase 2, the transforming growth factor β1 signaling pathway and tissue inhibitor of metalloproteinase 1; collagen deposition; and extracellular matrix remodeling. Inhibition of DDR2 decreased HSC-T6 cell proliferation and liver injury in rats with 10-week-induced alcoholic liver disease. DDR2 may have an important role in the pathogenesis of early-stage alcoholic liver disease. Silencing DDR2 may be effective in preventing early-stage alcoholic liver disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Researcher 3 15%
Student > Master 2 10%
Professor 1 5%
Lecturer 1 5%
Other 1 5%
Unknown 7 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 25%
Biochemistry, Genetics and Molecular Biology 3 15%
Medicine and Dentistry 2 10%
Chemical Engineering 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 7 35%