RESUMO
We herein report a case of Klebsiella pneumoniae (K. pneumoniae) spondylitis and bacteremia in a 90-year-old man with diabetes mellitus who had undergone sigmoidectomy and had a fecalith. Two months prior to admission, he had received antimicrobial treatment for 2 weeks for K. pneumoniae bacteremia whose entry was unclear and he was readmitted to our hospital owing to fever and stomachache. K. pneumoniae was isolated from two sets of blood cultures, and computed tomography and magnetic resonance imaging revealed inflammation and destruction of the 8th and 9th thoracic vertebra. The diagnosis was spondylodiscitis secondary to K. pneumoniae bacteremia. Although the entry point for K. pneumoniae was unclear, we suggest that inflammation of the mucosa around the fecalith might have caused the Enterobacteriaceae bacteremia.
Assuntos
Bacteriemia/microbiologia , Colite/microbiologia , Discite/microbiologia , Impacção Fecal/microbiologia , Infecções por Klebsiella/microbiologia , Klebsiella pneumoniae/isolamento & purificação , Idoso de 80 Anos ou mais , Antibacterianos/uso terapêutico , Colite/complicações , Colo/diagnóstico por imagem , Colo/microbiologia , Discite/diagnóstico por imagem , Impacção Fecal/complicações , Humanos , Infecções por Klebsiella/diagnóstico por imagem , Imageamento por Ressonância Magnética , Masculino , Vértebras Torácicas/diagnóstico por imagem , Vértebras Torácicas/microbiologia , Tomografia Computadorizada por Raios X , Resultado do TratamentoRESUMO
A major advantage of image-based phenotypic profiling of compounds is that numerous image features can be sampled and quantitatively evaluated in an unbiased way. However, since this assay is a discovery-oriented screening, it is difficult to determine the optimal experimental setup in advance. In this study, we examined whether variable cellular stimulation affects the efficacy of the image-based profiling of compounds. Seven different epidermal growth factor receptor (EGFR) ligands were used, and the expression of EGFR signaling molecules was monitored at various time points. Significant quantitative differences in image features were detected among the differentially treated samples. Next, 14 different compounds that affect EGFR signaling were profiled. Nearly half of the compounds were classified into distinct clusters, irrespective of differential ligand stimulation. The results suggest that image-based phenotypic profiling is quite robust in its ability to predict compound interaction with its target. Although this method will have to be validated in other experimental systems, the robustness of image-based compound profiling demonstrated in this work provides a valid basis for further study and its extended application.