Lisa Karstens

The paper evaluates updated 16S rRNA sequencing methods and databases for improved species-level classification of the urinary microbiome.

The paper examines how vaginal estrogen affects the urinary microbiome and metabolome in postmenopausal women, finding that it increases lactobacilli and alters metabolite profiles.

The paper introduces a negative binomial latent factor model for paired microbiome data to account for cross-site correlations and improve statistical analysis of microbial compositions.

The paper examines the urinary microbiome in men and finds associations between BMI, BPH, and lower urinary tract symptoms with microbiome diversity.

This study investigates urinary free oligosaccharides and microbial gene capacity for glycan digestion in women with and without overactive bladder syndrome.

The paper examines microbial DNA in blood fractions, showing most is cell-free and reveals disease-associated differences in plasma and buffy coat.

This study shows species-level identification of bladder bacteria is possible using 16S rRNA amplicon sequencing by optimizing reference databases and variable regions.

This study evaluates two computational methods for removing contaminants in low biomass 16S rRNA gene sequencing, finding that Decontam consistently outperforms SourceTracker in contaminant removal.