Observational analysis supports enhanced growth of urinary bacteria using SimUrine, indicating improved microbiome study methods.
Urinary tract infections represent one of the most prevalent bacterial diseases, yet current diagnostic and research methodologies are hampered by inadequate culture media that fail to replicate the bladder biochemical environment. Conventional artificial urine formulations contain undefined components, lack essential nutrients, or inadequately support urinary microbiome (urobiome) growth. To address these limitations, we developed SimUrine, a fully defined synthetic urine medium that aims to replicate human bladder chemistry while supporting diverse microbial growth requirements. SimUrine was systematically developed through iterative optimization of multi-purpose artificial urine, incorporating defined concentrations of carbon sources, vitamins, trace elements, and amino acids within physiologically relevant ranges. The modular design enables component substitution without complete reformulation, facilitating customization for culturomics, antimicrobial susceptibility testing, and microbial ecology studies, while reducing batch-to-batch variability associated with authentic urine. Performance evaluation demonstrated SimUrine's capability to support growth of fastidious urobiome members, including Lactobacillus species, Aerococcus urinae, and Corynebacterium riegelii, which fail to proliferate in conventional minimal media. Physicochemical characterization confirmed that SimUrine formulation exhibits properties within normal human urine ranges for density, conductivity, osmolarity, and viscosity, ensuring physiological relevance. Clinical applications revealed reduced antibiotic susceptibility compared to standard media, suggesting more accurate representation of in vivo conditions. Co-culture experiments using Escherichia coli and Enterococcus faecalis demonstrated previously unobserved microbial interactions, highlighting SimUrine's utility for investigating urobiome dynamics. SimUrine represents a significant advancement in urobiome research methodology, providing a standardized, reproducible platform for investigating urobiome under physiologically relevant conditions, potentially improving fundamental understanding and clinical diagnostic approaches.
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Molina et al. (2025) studied this question.
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