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Lisowski, C.

Publications and source records attributed to Lisowski, C..

2 recordsLinked to original sources

Complement receptor-mediated uptake into renal mononuclear phagocytes promotes intracellular UPEC persistence and limits β-lactam efficacy in pyelonephritis

IntroductionAcute pyelonephritis remains a major clinical problem. Relapses occur despite apparently appropriate antibiotic therapy, suggesting that uropathogenic Escherichia coli (UPEC) persist in intrarenal niches. Intracellular bacterial reservoirs are a plausible explanation, but the relevant host cells, entry mechanisms and therapeutic implications in the kidney remain undefined. In principle, such reservoirs should favor choosing intracellularly active antibiotics, but increasing resistance to many of these agents leaves {beta}-lactams widely used in clinical practice, despite their predominantly extracellular activity. MethodsWe analyzed murine pyelonephritis to identify the cellular reservoir of persistent UPEC. We generated mice genetically deficient for complement receptors CR3 and CR4 and tested their role in bacterial entry and persistence in vivo. Pharmacological complement receptor inhibition was applied to assess whether blocking bacterial re-entry into host cells improves antibiotic efficacy. ResultsRenal MNP were identified as the major intracellular reservoir for UPEC in mice. Complement opsonization enabled bacterial entry into these cells through CR3 and CR4, allowing UPEC to evade neutrophil-mediated killing and extracellularly active antibiotics. Genetic deletion of CR3 and CR4 abolished intracellular bacterial persistence and reduced renal bacterial burden. Because MNP undergo physiological turnover, intracellular UPEC must periodically exit host cells and infect new ones. Pharmacological inhibition of complement receptors prevented such bacterial re-entry and enhanced the efficacy of {beta}-lactam antibiotics which cannot penetrate cell membranes. ConclusionsComplement receptor-mediated entry into renal MNP establishes an intracellular UPEC reservoir that promotes persistence during experimental pyelonephritis. Blocking these receptors prevents renewal of the intracellular niche and improves {beta}-lactam efficacy in mice.

microbiology↗

cOmicsArt - a customizable Omics Analysis and reporting tool

MotivationThe availability of bulk-omic data is steadily increasing, necessitating collaborative efforts between experimental and computational researchers. While software tools with graphical user interfaces (GUIs) enable rapid and interactive data assessment, they are limited to pre-implemented methods, often requiring transitions to custom code for further adjustments. However, most available tools lack GUI-independent reproducibility such as direct integration with R, resulting in very limited support for transition. ResultsWe introduce the customizable Omics Analysis and reporting tool - cOmicsArt. cOmicsArt aims to enhance collaboration through integration of GUI-based analysis with R. The GUI allows researchers to perform user-friendly exploratory and statistical analyses with interactive visualizations and automatic documentation. Downloadable R scripts and results ensure reproducibility and seamless integration with R, supporting both novice and experienced programmers by enabling easy customizations and serving as a foundation for more advanced analyses. This versatility also allows for usage in educational settings guiding students from GUI-based analysis to R Code. AvailabilitycOmicsArt is freely available at https://shiny.iaas.uni-bonn.de/cOmicsArt/ User documentation is available at https://icb-dcm.github.io/cOmicsArt/ Source code is available on GitHub https://github.com/ICB-DCM/cOmicsArt A docker image can be retrieved from https://hub.docker.com/r/pauljonasjost/comicsart/tags A snapshot upon publication can be found on Zenodo: https://zenodo.org/records/13740904 A screen recording of cOmicsArt is available at: https://www.youtube.com/watch?v=pTGjtIYQOakp Contactjan.hasenauer@uni-bonn.de Supplementary informationSupplementary data are available online.

bioinformatics↗