Literature DB >> 31553428

Ibuprofen attenuates interleukin-1β-induced inflammation and actin reorganization via modulation of RhoA signaling in rabbit chondrocytes.

Rui Li1, Xiongbo Song1, Gaoming Li1,2, Zhen Hu3, Li Sun4, Cheng Chen1, Liu Yang1.   

Abstract

Ibuprofen, a medication in the nonsteroidal anti-inflammatory drug class, is widely used for treating inflammatory diseases such as osteoarthritis. It has been shown in recent years that ibuprofen has a strong effect on Ras homolog gene family, member A (RhoA) inhibition in multiple cell types. Our previous finding also demonstrated that interleukin-1β (IL-1β) increases filamentous actin (F-actin) of chondrocytes via RhoA pathway. Therefore, we hypothesized that ibuprofen may suppress the IL-1β-induced F-actin upregulation in chondrocytes by inhibiting RhoA pathway. To this end, in this study, articular chondrocytes from New Zealand White rabbits were pretreated with 500 μM ibuprofen for 2 h, then with 10 ng/ml IL-1β for 24 h. Results showed that pretreatment with ibuprofen inhibited the IL-1β-induced nitric oxide (NO) and prostaglandin E2 (PGE2) production, protected the chondrocyte phenotype from IL-1β stimulation, and inhibited the IL-1β-induced actin remodeling via RhoA signaling modulation. In conclusion, ibuprofen showed not only anti-inflammatory function, but also RhoA inhibition in articular chondrocytes.
© The Author(s) 2019. Published by Oxford University Press on behalf of the Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  actin; chondrocyte; ibuprofen; inflammation; interleukin-1β

Year:  2019        PMID: 31553428     DOI: 10.1093/abbs/gmz101

Source DB:  PubMed          Journal:  Acta Biochim Biophys Sin (Shanghai)        ISSN: 1672-9145            Impact factor:   3.848


  1 in total

1.  Use of the informational spectrum methodology for rapid biological analysis of the novel coronavirus 2019-nCoV: prediction of potential receptor, natural reservoir, tropism and therapeutic/vaccine target.

Authors:  Veljko Veljkovic; Júlia Vergara-Alert; Joaquim Segalés; Slobodan Paessler
Journal:  F1000Res       Date:  2020-01-27
  1 in total

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