title: A new look at the drug-resistance investigation of uropathogenic E. coli strains.
abstract: Bacterial drug resistance and uropathogenic tract infections are among the most important issues of current medicine. Uropathogenic Escherichia coli strains are the primary factor of this issue. This article is the continuation of the previous study, where we used Kohonen relations to predict the direction of drug resistance. The characterized collection of uropathogenic E. coli strains was used for microbiological (the disc diffusion method for antimicrobial susceptibility testing), chemical (ATR/FT-IR) and mathematical (artificial neural networks, Ward's hierarchical clustering method, the analysis of distributions of inhibition zone diameters for antibiotics, Cohen's kappa measure of agreement) analysis. This study presents other potential tools for the epidemiological differentiation of E. coli strains. It is noteworthy that ATR/FT-IR technique has turned out to be useful for the quick and simple identification of MDR strains. Also, diameter zones of resistance of this E. coli population were compared to the population of E. coli strains published by EUCAST. We observed the bacterial behaviors toward particular antibiotics in comparison to EUCAST bacterial collections. Additionally, we used Cohen's kappa to show which antibiotics from the same class are closely related to each other and which are not. The presented associations between antibiotics may be helpful in selecting the proper therapy directions. Here we present an adaptation of interdisciplinary studies of drug resistance of E. coli strains for epidemiological and clinical investigations. The obtained results may be some indication in deciding on antibiotic therapy.
authors.affiliation: Institute of Medical Sciences, Jan Kochanowski University, IX Wieków Kielc 19A Av., 25-317, Kielce, Poland. aloiv2002@wp.pl.
authors.forename: Wioletta
authors.initials: W
authors.lastname: Adamus-Białek
authors.affiliation: Department of Microbiology, Institute of Biology, Jan Kochanowski University, 15 Swietokrzyska St., 25-406, Kielce, Poland.
authors.forename: Łukasz
authors.initials: Ł
authors.lastname: Lechowicz
authors.affiliation: Institute of Medical Biology, Polish Academy of Sciences, 106 Lodowa St., 93-232, Lodz, Poland.
authors.forename: Anna B
authors.initials: AB
authors.lastname: Kubiak-Szeligowska
authors.affiliation: Department of Microbiology, Institute of Biology, Jan Kochanowski University, 15 Swietokrzyska St., 25-406, Kielce, Poland.
authors.forename: Monika
authors.initials: M
authors.lastname: Wawszczak
authors.affiliation: Department of Microbiology, Institute of Biology, Jan Kochanowski University, 15 Swietokrzyska St., 25-406, Kielce, Poland.
authors.forename: Ewelina
authors.initials: E
authors.lastname: Kamińska
authors.affiliation: Institute of Mathematics, Jan Kochanowski University, 15 Swietokrzyska St., 25-406, Kielce, Poland.
authors.forename: Magdalena
authors.initials: M
authors.lastname: Chrapek
mesh_terms: D000465:Algorithms; D024881:Drug Resistance, Bacterial; D004927:Escherichia coli Infections / Q000652:urine; D006801:Humans; D008826:Microbial Sensitivity Tests; D016571:Neural Networks, Computer; D014552:Urinary Tract Infections / Q000382:microbiology* / Q000652:urine; D056689:Uropathogenic Escherichia coli / Q000145:classification* / Q000187:drug effects / Q000302:isolation & purification
keywords: ATR/FT-IR; Differentiation; Drug resistance; UPEC