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Gui, C.

Publications and source records attributed to Gui, C..

2 recordsLinked to original sources

A short course of antibiotics selects for persistent resistance in the human gut

Understanding the relationship between antibiotic use and the evolution of antimicrobial resistance is vital for effective antibiotic stewardship, yet animal models and in vitro experiments poorly replicate real-world conditions. To elucidate how resistance evolves in vivo, we exposed 60 human subjects to ciprofloxacin and used longitudinal stool samples and a new computational method to assemble genomes for 5665 populations of commensal bacterial species within subjects. Analysis of 2.27M polymorphic sequence variants revealed 513 populations that underwent selective sweeps. We found convergent evolution focused on DNA gyrase and evidence of dispersed selective pressure at other genomic loci. Nearly 10% of susceptible bacterial populations evolved towards resistance through sweeps that involved mutations in a specific amino acid in gyrase. Evolution towards resistance was predicted by population abundances before and during the exposure. 89% of gyrase sweeps and the majority of all sweeps persisted more than 10 weeks. This work quantifies the direct relationship between antibiotic usage and the evolution of resistance within the gut communities of individual human hosts.

evolutionary biology↗

Detection of local growth patterns in longitudinally imaged low-grade gliomas

BackgroundDiffuse low-grade gliomas (LGGs) are primary brain tumors with infiltrative, anisotropic growth related to surrounding white and grey matter structures. In this study, we illustrate the use of deformation-based morphometry (DBM) as a simple and objective method to study the local change in growth patterns of LGGs. MethodsAn imaging pipeline was developed involving the creation of patient-specific average templates and nonlinear registration of pre-treatment follow-up MRIs to the average template. Jacobian maps were derived and analyzed to identify areas of tissue expansion and contraction over time. ResultsOur analysis demonstrates that tissue expansion occurs primarily around the edges of the tumor, while the lesion core and areas adjacent to obstacles, such as the skull, show no significant growth. Tumors also appeared to grow faster and predominantly in areas of white matter. Regions of the brain surrounding the lesion showed slight contraction over time, likely representing compression due to mass effect of the tumor. ConclusionsWe demonstrate that DBM is a useful clinical tool to understand the long-term clinical course of an individuals tumor and identify areas of rapid growth, which can explain the clinical signs and symptoms, predict future symptoms, and guide targeted diagnostics and therapy. HighlightsO_LILow-grade glioma expansion occurs primarily around the edges of the tumor. C_LIO_LITumor cores and tissue next to obstacles show no significant growth over time. C_LIO_LIDBM provides a clinically valuable assessment of local tumor growth and activity. C_LI

cancer biology↗