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An Integrated Proteomics and Bioinformatics Approach Reveals the Anti-inflammatory Mechanism of Carnosic Acid

Overview of attention for article published in Frontiers in Pharmacology, April 2018
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Title
An Integrated Proteomics and Bioinformatics Approach Reveals the Anti-inflammatory Mechanism of Carnosic Acid
Published in
Frontiers in Pharmacology, April 2018
DOI 10.3389/fphar.2018.00370
Pubmed ID
Authors

Li-Chao Wang, Wen-Hui Wei, Xiao-Wen Zhang, Dan Liu, Ke-Wu Zeng, Peng-Fei Tu

Abstract

Drastic macrophages activation triggered by exogenous infection or endogenous stresses is thought to be implicated in the pathogenesis of various inflammatory diseases. Carnosic acid (CA), a natural phenolic diterpene extracted from Salvia officinalis plant, has been reported to possess anti-inflammatory activity. However, its role in macrophages activation as well as potential molecular mechanism is largely unexplored. In the current study, we sought to elucidate the anti-inflammatory property of CA using an integrated approach based on unbiased proteomics and bioinformatics analysis. CA significantly inhibited the robust increase of nitric oxide and TNF-α, downregulated COX2 protein expression, and lowered the transcriptional level of inflammatory genes including Nos2, Tnfα, Cox2, and Mcp1 in LPS-stimulated RAW264.7 cells, a murine model of peritoneal macrophage cell line. The LC-MS/MS-based shotgun proteomics analysis showed CA negatively regulated 217 LPS-elicited proteins which were involved in multiple inflammatory processes including MAPK, nuclear factor (NF)-κB, and FoxO signaling pathways. A further molecular biology analysis revealed that CA effectually inactivated IKKβ/IκB-α/NF-κB, ERK/JNK/p38 MAPKs, and FoxO1/3 signaling pathways. Collectively, our findings demonstrated the role of CA in regulating inflammation response and provide some insights into the proteomics-guided pharmacological mechanism study of natural products.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Student > Master 2 7%
Student > Doctoral Student 1 4%
Unspecified 1 4%
Other 1 4%
Other 1 4%
Unknown 15 54%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 11%
Chemistry 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Unspecified 1 4%
Environmental Science 1 4%
Other 2 7%
Unknown 16 57%
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 21 April 2018.
All research outputs
#20,481,952
of 23,043,346 outputs
Outputs from Frontiers in Pharmacology
#10,260
of 16,368 outputs
Outputs of similar age
#262,194
of 296,868 outputs
Outputs of similar age from Frontiers in Pharmacology
#232
of 394 outputs
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