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H2O2-induced secretion of tumor necrosis factor-α evokes apoptosis of cardiac myocytes through reactive oxygen species-dependent activation of p38 MAPK

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Title
H2O2-induced secretion of tumor necrosis factor-α evokes apoptosis of cardiac myocytes through reactive oxygen species-dependent activation of p38 MAPK
Published in
Methods in Cell Science, October 2011
DOI 10.1007/s10616-011-9392-3
Pubmed ID
Authors

Zhilong Chen, Hong Jiang, Yanwu Wan, Chaofang Bi, Yian Yuan

Abstract

P38 mitogen-activated protein kinases (p38 MAPK) and tumor necrosis factor-α (TNF-α) play important roles in oxidative stress-induced apoptosis in cardiac myocytes. However, the regulation and functional role of cross-talk between p38 MAPK and TNF-α pathways have not yet been fully characterized in cardiac myocytes. In this study, we found that inhibition of p38 MAPK with SB-203580 (SB) reduced H(2)O(2)-stimulated secretion of TNF-α, whereas pre-activation of p38 MAPK with sodium arsenite (SA) enhanced H(2)O(2)-stimulated secretion of TNF-α. In addition, pretreatment of cells with TNF-α increased basal and H(2)O(2)-stimulated p38 MAPK and apoptosis of cardiac myocytes, and p38 MAPK-associated apoptosis of cardiac myocytes induced by TNF-α was blocked by inhibition of p38 MAPK with SB. Finally, H(2)O(2)-induced apoptosis was attenuated by the inhibitors of p38 MAPK or reactive oxygen species (ROS), whereas it was enhanced by p38 MAPK agonist SA. These results suggest that H(2)O(2)-induced secretion of TNF-α increases apoptosis of cardiac myocytes through ROS-dependent activation of p38 MAPK. This may represent a novel mechanism that TNF-α partly interplays with p38 MAPK pathways during oxidative stress-modulated apoptosis in cardiac myocytes.

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Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 27%
Student > Ph. D. Student 3 27%
Student > Doctoral Student 2 18%
Researcher 1 9%
Student > Master 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Medicine and Dentistry 4 36%
Agricultural and Biological Sciences 3 27%
Veterinary Science and Veterinary Medicine 1 9%
Unknown 3 27%