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Falcarindiol inhibits LPS-induced inflammation via attenuating MAPK and JAK-STAT signaling pathways in murine macrophage RAW 264.7 cells

Overview of attention for article published in Molecular and Cellular Biochemistry, January 2018
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Title
Falcarindiol inhibits LPS-induced inflammation via attenuating MAPK and JAK-STAT signaling pathways in murine macrophage RAW 264.7 cells
Published in
Molecular and Cellular Biochemistry, January 2018
DOI 10.1007/s11010-017-3262-z
Pubmed ID
Authors

Thamizhiniyan Venkatesan, Young-Woong Choi, Jennifer Lee, Young-Kyoon Kim

Abstract

Falcarindiol (FAD) is a natural polyacetylene compound found rich in many plants of the Umbelliferae family. Previously, we isolated FAD from the rhizome of Cnidium officinale Makino, which belongs to the Umbelliferae family and found it to have a significant inhibitory effect on lipopolysaccharide (LPS)-induced production of nitric oxide, a pro-inflammatory molecule in murine macrophage RAW 264.7 cells. In this study, we investigated its effect on the expression of other major pro-inflammatory molecules as well as the mechanism underlying these effects. Pre-treatment of RAW 264.7 cells with FAD suppressed LPS-stimulated mRNA expression of inducible nitric oxide synthase (iNOS), tumor necrosis factor alpha (TNFα), interleukin-6 (IL-6), and interleukin-1 beta (IL-1β) and thereby reduced the respective protein levels. Mechanistic studies demonstrated that FAD attenuated the LPS-induced activation of JNK, ERK, STAT1, and STAT3 signaling molecules. Moreover, we found that FAD did not influence LPS-induced activation of p38 and NFκB signaling pathways. Collectively, this study provides evidence that FAD inhibits the production of major pro-inflammatory molecules in LPS-challenged murine macrophages via suppression of JNK, ERK, and STAT signaling pathways.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 13%
Professor > Associate Professor 2 13%
Student > Ph. D. Student 1 7%
Unspecified 1 7%
Researcher 1 7%
Other 1 7%
Unknown 7 47%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 20%
Pharmacology, Toxicology and Pharmaceutical Science 2 13%
Unspecified 1 7%
Agricultural and Biological Sciences 1 7%
Unknown 8 53%