Skin dysbiosis and loss of microbiome site specificity in critically ill patients.

An increasing amount of evidence has linked critical illness with dysbiotic microbiome signatures in different body sites. The disturbance of the indigenous microbiota structures has been further associated with disease severity and outcome and has been suggested to pose an additional risk for complications in intensive care units (ICUs), including hospital-acquired infections. A better understanding of the microbial dysbiosis in critical illness might thus help to develop strategies for the prevention of such complications.

induces tolerance in human monocytes accompanied with expression changes of cell surface markers.

Exposure of human monocytes to lipopolysaccharide (LPS) or other pathogen-associated molecular pattern (PAMPs) induces a temporary insensitivity to subsequent LPS challenges, a cellular state called endotoxin tolerance (ET), associated with the pathogenesis of sepsis. In this study, we aimed to characterize the cellular state of human monocytes from healthy donors stimulated with in comparison to TLR2-specific ligands. We analyzed induced gene expression changes after 2 and 24 hours by amplicon sequencing (RNA-AmpliSeq) and compared the pro-inflammatory response after 2 hours with the response in re-stimulation experiments.

Comparative analysis of surface sanitization protocols on the bacterial community structures in the hospital environment.

Objectives: In hospital hygiene, it remains unclear to what extent surface contamination might represent a potential reservoir for nosocomial pathogens. This study investigates the effects of different sanitization strategies on the microbial structures and the ecological balance of the environmental microbiome in the clinical setting.

Methods: Three cleaning regimes (disinfectants, detergents, and probiotics) were applied subsequently in nine independent patient rooms at a neurological ward (Charité, Berlin).

A simple sequence-based filtering method for the removal of contaminants in low-biomass 16S rRNA amplicon sequencing approaches.

Controlling for contaminant sequences in microbiome experiments involving low-biomass samples is a highly challenging task which still lacks of standardized protocols. Here we propose a simple sequence-based filtering method for 16S rRNA gene microbial profiling approaches, and validate its efficiency using mock community dilution series and environmental samples collected in a clinical setting.