| Title |
Knockdown of microRNA-17-5p ameliorates atherosclerotic lesions in ApoE−/− mice and restores the expression of very low density lipoprotein receptor
|
|---|---|
| Published in |
Biotechnology Techniques, April 2017
|
| DOI | 10.1007/s10529-017-2337-y |
| Pubmed ID | |
| Authors |
Lili Tan, Liang Meng, Xiaojing Shi, Bo Yu |
| Abstract |
To propose and verify a hypothesis that miR-17-5p knockdown may mitigate atherosclerotic lesions using atherosclerotic ApoE(-/-) mice as serum microRNA-17-5p (miR-17-5p) is elevated in patients with atherosclerosis. The level of miR-17-5p was higher while the level of very low density lipoprotein receptor (VLDLR), a predicted target of miR-17-5p, was lower in the peripheral blood lymphocytes (PBLs) of atherosclerosis patients as compared with control PBLs. ApoE(-/-) mice fed with a high-cholesterol diet displayed marked atherosclerotic vascular lesions, which were ameliorated after treatment with antagomiR-17-5p. Moreover, the decreased VLDLR in atherosclerotic mice was partly restored when miR-17-5p was antagonized. Further, luciferase assay confirmed VLDLR as a direct target of miR-17-5p in vascular smooth muscle cells (VSMCs). In addition, the elevated expression of proprotein convertase subtilisin kexin 9 (PCSK9), a secreted protease that binds to and promotes VLDLR degradation, in the atherosclerotic mice was suppressed by antagomiR-17-5p. A novel interaction between miR-17-5p and VLDLR is revealed and suggests that miR-17-5p may be a potential therapeutic target for AS. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 6% |
| Unknown | 16 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 24% |
| Professor | 3 | 18% |
| Researcher | 2 | 12% |
| Student > Doctoral Student | 2 | 12% |
| Other | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 35% |
| Agricultural and Biological Sciences | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Decision Sciences | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 April 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Biotechnology Techniques
#2,493
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#283,903
of 323,671 outputs
Outputs of similar age from Biotechnology Techniques
#20
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