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Synergic Activation of Toll-Like Receptor (TLR) 2/6 and 9 in Response to Ureaplasma parvum

Overview of attention for article published in PLOS ONE, April 2013
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Title
Synergic Activation of Toll-Like Receptor (TLR) 2/6 and 9 in Response to Ureaplasma parvum & urealyticum in Human Amniotic Epithelial Cells
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0061199
Pubmed ID
Authors

Martha Triantafilou, Benjamin De Glanville, Ali F. Aboklaish, O. Brad Spiller, Sailesh Kotecha, Kathy Triantafilou

Abstract

Ureaplasma species are the most frequently isolated microorganisms inside the amniotic cavity and have been associated with spontaneous abortion, chorioamnionitis, premature rupture of the membranes (PROM), preterm labour (PL) pneumonia in neonates and bronchopulmonary dysplasia in neonates. The mechanisms by which Ureaplasmas cause such diseases remain unclear, but it is believed that inappropriate induction of inflammatory responses is involved, triggered by the innate immune system. As part of its mechanism of activation, the innate immune system employs germ-lined encoded receptors, called pattern recognition receptors (PRRs) in order to "sense" pathogens. One such family of PRRs are the Toll like receptor family (TLR). In the current study we aimed to elucidate the role of TLRs in Ureaplasma-induced inflammation in human amniotic epithelial cells. Using silencing, as well as human embryonic kidney (HEK) transfected cell lines, we demonstrate that TLR2, TLR6 and TLR9 are involved in the inflammatory responses against Ureaplasma parvum and urealyticum serovars. Ureaplasma lipoproteins, such as Multiple Banded antigen (MBA), trigger responses via TLR2/TLR6, whereas the whole bacterium is required for TLR9 activation. No major differences were observed between the different serovars. Cell activation by Ureaplasma parvum and urealyticum seem to require lipid raft function and formation of heterotypic receptor complexes comprising of TLR2 and TLR6 on the cell surface and TLR9 intracellularly.

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Geographical breakdown

Country Count As %
United Kingdom 1 2%
India 1 2%
United States 1 2%
Unknown 50 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Student > Master 7 13%
Researcher 6 11%
Other 4 8%
Lecturer > Senior Lecturer 3 6%
Other 11 21%
Unknown 10 19%
Readers by discipline Count As %
Medicine and Dentistry 19 36%
Agricultural and Biological Sciences 11 21%
Immunology and Microbiology 7 13%
Biochemistry, Genetics and Molecular Biology 2 4%
Arts and Humanities 1 2%
Other 0 0%
Unknown 13 25%