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Downregulation of TLR4 by miR-181a Provides Negative Feedback Regulation to Lipopolysaccharide-Induced Inflammation

Overview of attention for article published in Frontiers in Pharmacology, February 2018
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Title
Downregulation of TLR4 by miR-181a Provides Negative Feedback Regulation to Lipopolysaccharide-Induced Inflammation
Published in
Frontiers in Pharmacology, February 2018
DOI 10.3389/fphar.2018.00142
Pubmed ID
Authors

Kangfeng Jiang, Shuai Guo, Tao Zhang, Yaping Yang, Gan Zhao, Aftab Shaukat, Haichong Wu, Ganzhen Deng

Abstract

Acute lung injury (ALI) is a progressive clinical disease with a high mortality rate, and characterized by an excessive uncontrolled inflammatory response. MicroRNAs (miRNAs) play a critical role in various human inflammatory diseases, and have been recognized as important regulators of inflammation. However, the regulatory mechanisms mediated by miRNAs involved in Lipopolysaccharide (LPS)-induced inflammation in ALI remain hazy. In this study, we found that miR-181a expression in the lung tissues of ALI mice and LPS-stimulated RAW 264.7 macrophages is dramatically reduced. We also show that over-expression of miR-181a significantly decreased the production of inflammatory cytokines, such as IL-1β, IL-6, and TNF-α, whereas inhibition of miR-181a reversed this decrease. Moreover, miR-181a inhibits NF-κB activation and accumulation of reactive oxygen species (ROS) by targeting TLR4 expression. We further verify that miR-181a suppresses TLR4 expression by binding directly to the 3'-UTR of TLR4. Therefore, we provide the first evidence for the negative regulation of miR-181a in LPS-induced inflammation via the suppression of ROS generation and TLR4-NF-κB pathway.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 30%
Researcher 4 13%
Student > Bachelor 4 13%
Student > Master 3 10%
Student > Doctoral Student 2 7%
Other 5 17%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 20%
Biochemistry, Genetics and Molecular Biology 5 17%
Veterinary Science and Veterinary Medicine 3 10%
Medicine and Dentistry 2 7%
Neuroscience 2 7%
Other 5 17%
Unknown 7 23%
Attention Score in Context

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 26 February 2018.
All research outputs
#20,466,701
of 23,025,074 outputs
Outputs from Frontiers in Pharmacology
#10,239
of 16,334 outputs
Outputs of similar age
#291,969
of 330,211 outputs
Outputs of similar age from Frontiers in Pharmacology
#224
of 357 outputs
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So far Altmetric has tracked 16,334 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 357 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.