bioRxiv Science⌕ Search

Biology subjects

van der Laan, J.

Publications and source records attributed to van der Laan, J..

2 recordsLinked to original sources

Restoring Antibiotic Sensitivity via Metabolic Pathway Manipulation in Pseudomonas aeruginosa

Stopping antimicrobial multidrug resistance (AMR) is essential to maintain the efficacy of current treatments and sustain modern medicine, but current control relies on a coordinated One Health approach involving stewardship, infection prevention and other control measures, without direct actionable mechanisms against resistance itself. Here, integrating proteomics and metabolomics with high-throughput Caenorhabditis elegans infection models, we show that unique synergy of biotin biosynthesis inhibition with metformin uncouples virulence from bacterial viability shutting down major Pseudomonas aeruginosa (PA) virulence mechanisms that impair host survival. Under directed evolution induced by central carbon metabolic stress, laboratory and clinical PA strain isolates acquire mutations in the MexAB-OprM multidrug efflux pump, leading to reversal of the AMR phenotype and restored susceptibility to multiple legacy and last-resort antibiotics such as meropenem. Our findings reveal a previously unexploited vulnerability in PA, its co-dependence on biotin biosynthesis and energy metabolism for virulence and resistance. This work establishes a conceptual framework in which metabolic co-targeting can abolish pathogenesis and drive reversal of antimicrobial resistance. It lays the foundation for first-in-class, non-antibiotic PA-selective anti-virulence and resistance-reversing therapies, key to extending the lifesaving duration of existing antibiotics.

microbiology↗

Internal Control for process monitoring of clinical metagenomic next-generation sequencing of urine samples

BackgroundProcess control for clinical metagenomic next-generation sequencing (mNGS) is not yet widely applied, while technical sources of bias are plentiful. We present an easy-to-use internal control (IC) method focussing on technical process control applied to metagenomics in clinical diagnostics. MethodsDNA of nine urine samples was sequenced in the absence and presence of Thermus thermophilus DNA as IC in incremental concentrations (0.5-2-5%). Between aliquots of each sample, we compared the IC relative abundance (RA), and after in silico subtraction of IC reads, the microbiota and the RA of pathogens. The optimal IC spike-in concentration was defined as the lowest concentration still detectable in all samples. ResultsThe RA of IC correlated linearly with the spiked IC concentration (r2=0.99). IC added in a concentration of 0.5% of total DNA concentration was detectable in all samples, regardless of human/bacterial composition and after in silico removal gave the smallest difference in RA of pathogens compared to the unspiked aliquot of the sample. The microbiota of sample aliquots sequenced in the presence and absence of IC was highly similar after in silico removal of IC reads (median BC-dissimilarity per sample of 0.059), provided samples had sufficient bacterial read counts. ConclusionT. thermophilus DNA at a percentage of 0.5% of the total DNA concentration can be applied for the process control of mNGS of urine samples. We demonstrated negligible alterations in sample microbial composition after in silico subtraction of IC sequence reads. This approach contributes toward implementation of mNGS in the clinical microbiology laboratory.

microbiology↗