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Oroxylin A Inhibits Hemolysis via Hindering the Self-Assembly of α-Hemolysin Heptameric Transmembrane Pore

Overview of attention for article published in PLoS Computational Biology, January 2013
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Title
Oroxylin A Inhibits Hemolysis via Hindering the Self-Assembly of α-Hemolysin Heptameric Transmembrane Pore
Published in
PLoS Computational Biology, January 2013
DOI 10.1371/journal.pcbi.1002869
Pubmed ID
Authors

Jing Dong, Jiazhang Qiu, Yu Zhang, Chongjian Lu, Xiaohan Dai, Jianfeng Wang, Hongen Li, Xin Wang, Wei Tan, Mingjing Luo, Xiaodi Niu, Xuming Deng

Abstract

Alpha-hemolysin (α-HL) is a self-assembling, channel-forming toxin produced by most Staphylococcus aureus strains as a 33.2-kDa soluble monomer. Upon binding to a susceptible cell membrane, the monomer self-assembles to form a 232.4-kDa heptamer that ultimately causes host cell lysis and death. Consequently, α-HL plays a significant role in the pathogenesis of S. aureus infections, such as pneumonia, mastitis, keratitis and arthritis. In this paper, experimental studies show that oroxylin A (ORO), a natural compound without anti-S. aureus activity, can inhibit the hemolytic activity of α-HL. Molecular dynamics simulations, free energy calculations, and mutagenesis assays were performed to understand the formation of the α-HL-ORO complex. This combined approach revealed that the catalytic mechanism of inhibition involves the direct binding of ORO to α-HL, which blocks the conformational transition of the critical "Loop" region of the α-HL protein thereby inhibiting its hemolytic activity. This mechanism was confirmed by experimental data obtained from a deoxycholate-induced oligomerization assay. It was also found that, in a co-culture system with S. aureus and human alveolar epithelial (A549) cells, ORO could protect against α-HL-mediated injury. These findings indicate that ORO hinders the lytic activity of α-HL through a novel mechanism, which should facilitate the design of new and more effective antibacterial agents against S. aureus.

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Geographical breakdown

Country Count As %
United States 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 29%
Student > Master 7 16%
Student > Bachelor 4 9%
Student > Doctoral Student 3 7%
Other 3 7%
Other 5 11%
Unknown 10 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 29%
Biochemistry, Genetics and Molecular Biology 8 18%
Medicine and Dentistry 3 7%
Immunology and Microbiology 3 7%
Linguistics 1 2%
Other 5 11%
Unknown 12 27%