Wioletta Adamus-Białek

(CGG)4-Based PCR as a Novel Tool for Discrimination of Uropathogenic Escherichia coli Strains: Comparison with Enterobacterial Repetitive Intergenic Consensus-PCR

ABSTRACT Urinary tract infections are one of the most frequent bacterial diseases in humans, and Escherichia coli is most often the relevant pathogen. A specific pathotype of E. coli, known as uropathogenic E. coli (UPEC), often causes serious and difficult-to-treat infections of the urinary tract. We propose a new single-tube screening tool that uses an (N)6(CGG)4 primer to generate fingerprint profiles that allow rapid discrimination and epidemiology of this group of bacteria. We found 71 different CGG-PCR profiles among 127 E. coli strains, while enterobacterial repetitive intergenic consensus (ERIC)-PCR of the same group yielded only 28 profiles. Additionally, the (CGG)4-based PCR test turned out to be very effective for clustering UPEC strains exhibiting multiple virulence genes and usually belonging to the B2 phylogenetic group, and it separated these strains from E. coli strains lacking most of the UPEC-specific virulence factors. Since the reproducibility of the CGG-PCR screen is higher than that of ERIC-PCR, our test should be a valuable means of increasing the discriminatory power of current UPEC typing schemes.

Comparison of antibiotic resistance patterns in collections of Escherichia coli and Proteus mirabilis uropathogenic strains

Escherichia coli and Proteus mirabilis are important urinary tract pathogens. The constant increase in the antibiotic resistance of clinical bacterial strains has become an important clinical problem. The aim of this study was to compare the antibiotic resistance of 141 clinical (Sweden and Poland) and 42 laboratory (Czech Republic) P.mirabilis strains and 129 clinical (Poland) uropathogenic E. coli strains. The proportion of unique versus diverse patterns in Swedish clinical and laboratory P. mirabilis strain collections was comparable. Notably, a similar proportion of unique versus diverse patterns was observed in Polish clinical P. mirabilis and E. coli strain collections. Mathematical models of the antibiotic resistance of E. coli and P. mirabilis strains based on Kohonen networks and association analysis are presented. In contrast to the three clinical strain collections, which revealed complex associations with the antibiotics tested, laboratory P. mirabilis strains provided simple antibiotic association diagrams. The monitoring of antibiotic resistance patterns of clinical E. coli and P. mirabilis strains plays an important role in the treatment procedures for urinary tract infections and is important in the context of the spreading drug resistance in uropathogenic strain populations. The adaptability and flexibility of the genomes of E. coli and P.mirabilis strains are discussed.

Trinucleotide repeat sequence-based PCR as a potential approach for genotyping Mycobacterium gordonae strains.

Diseases that are caused by non-tuberculous mycobacteria (NTM) continue to pose difficult clinical problems, and the epidemiological aspect of NTM-caused diseases is of great importance. In the case of Mycobacterium gordonae there is no adequate genotyping scheme. Here we present a potential rapid and reproducible genetic assay that uses trinucleotide repeat sequence-based PCR (TRS-PCR) for genotyping M. gordonae. The proposed method constitutes a useful single-primer PCR screen for genotyping this species. Among 10 TRS-containing primers, after applying (CAC)₄-based PCR to 36 strains of M. gordonae, we found a discriminatory index of 0.975. The accuracy of this analysis was supported by a reasonable reproducibility of 92%. These results were compared with the Enterobacterial Repetitive Intergenic Consensus Sequences (ERIC)-PCR typing scheme which had lower discriminatory index of 0.93 and its reproducibility was only 86.3%.

The effects of nickel(II) complexes with imidazole derivatives on pyocyanin and pyoverdine production by Pseudomonas aeruginosa strains isolated from cystic fibrosis

Pseudomonas aeruginosa infection is problematic in patients with cystic fibrosis (CF). P. aeruginosa secretes a diversity of pigments, such as pyocyanin and pyoverdine. The aim of this study was to evaluate the effects of complexes of nickel(II) ([Ni(iaa)2(H2O)2]·H2O (iaa = imidazole-4-acetate anion), [Ni(1-allim)6](NO3)2 (1-allim = 1-allylimidazole) and NiCl2 on pyocyanin and pyoverdine production by 23 strains of P. aeruginosa isolated from cystic fibrosis under growth conditions specific for the CF respiratory system. The antibacterial effects and biophysical properties of the tested substances were measured by spectrofluorometric techniques, as well as by laser interferometry, confocal and atomic force microscopy. The cytotoxic properties of all compounds were measured by Annexin/IP assay against A549 cells. All tested compounds have no effect on pyocyanin production and decrease the pyoverdine secretion in about 40% of tested P. aeruginosa strains at non-cytotoxic range of concentrations. Imidazole-4-acetate anion and 1-allylimidazole have good diffusion properties in the mature P. aeruginosa PAO1 biofilm. In conclusion, the tested nickel(II) complexes do not have clinical implications in P. aeruginosa eradication in cystic fibrosis. The diffusion properties of 1-allylimidazole and imidazole-4-acetate and their lack of effect on A549 cells suggest that they might be considered for chemical synthesis with other transition metals.

Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli Strains

Fimbriae are an important pathogenic factor of Escherichia coli during development of urinary tract infections. Here, we describe a new method for identification of Escherichia coli from strains using the attenuated total reflectance Fourier transform infrared Spectroscopy (ATR FT-IR). We applied artificial neural networks to the analysis of the ATR FT-IR results. These methods allowed to discriminate E. coli from strains with accuracy of 99%.

A new look at the drug-resistance investigation of uropathogenic E. coli strains

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.