Buelow, Sigrid and Zeller, Lisa and Werner, Maren and Toelge, Martina and Holzinger, Jonas and Entzian, Clemens and Schubert, Thomas and Waldow, Franziska and Gisch, Nicolas and Hammerschmidt, Sven and Gessner, Andre (2018) Bactericidal/Permeability-Increasing Protein Is an Enhancer of Bacterial Lipoprotein Recognition. FRONTIERS IN IMMUNOLOGY, 9: 2768. ISSN 1664-3224,
Full text not available from this repository. (Request a copy)Abstract
Adequate perception of immunologically important pathogen-associated molecular patterns like lipopolysaccharide and bacterial lipoproteins is essential for efficient innate and adaptive immune responses. In the context of Gram-negative infection, bactericidal/permeability-increasing protein (BPI) neutralizes endotoxic activity of lipopolysaccharides, and thus prohibits hyperactivation. So far, no immunological function of BPI has been described in Gram-positive infections. Here, we show a significant elevation of BPI in Gram-positive meningitis and, surprisingly, a positive correlation between BPI and pro-inflammatory markers like TNF alpha. To clarify the underlying mechanisms, we identify BPI ligands of Gram-positive origin, specifically bacterial lipopeptides and lipoteichoic acids, and determine essential structural motifs for this interaction. Importantly, the interaction of BPI with these newly defined ligands significantly enhances the immune response in peripheral blood mononuclear cells (PBMCs) mediated by Gram-positive bacteria, and thereby ensures their sensitive perception. In conclusion, we define BPI as an immune enhancing pattern recognition molecule in Gram-positive infections.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | LIPOPOLYSACCHARIDE-BINDING PROTEIN; AMINO-TERMINAL FRAGMENT; LIPOTEICHOIC ACID; CRYSTAL-STRUCTURE; STREPTOCOCCUS-PNEUMONIAE; STRUCTURAL-ANALYSIS; RECEPTOR; CD14; BPI; TOLL-LIKE-RECEPTOR-2; bactericidal/permeability-increasing protein; pro-inflammatory; bacterial lipoprotein; lipoteichoic acid; Streptococcus pneumoniae; Gram-positive; pattern recognition |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Biology, Preclinical Medicine > Institut für Biochemie, Genetik und Mikrobiologie > Lehrstuhl für Mikrobiologie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 04 Oct 2019 07:03 |
| Last Modified: | 04 Oct 2019 07:03 |
| URI: | https://pred.uni-regensburg.de/id/eprint/13368 |
Actions (login required)
 |
View Item |
