Marcela Krutova
Charles University in Prague
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Publication
Featured researches published by Marcela Krutova.
Journal of Neurogenetics | 2013
Jaroslava Schwabova; Dana Safka Brozkova; Borivoj Petrak; Mahulena Mojzisova; Klara Pavlickova; Jana Haberlová; Lenka Mrazkova; Petra Hedvicakova; Ludmila Hornofova; Marie Kaluzova; Filip Fencl; Marcela Krutova; Josef Zamecnik; Pavel Seeman
Abstract Pontocerebellar hypoplasia type 1 (PCH1) is characterized by cerebellar and anterior horn motor neuron degeneration and loss, signs of spinal muscular atrophy plus. Patients manifest severe perinatal weakness, hypotonia, and respiratory insufficiency, causing death frequently before the age of 1 year. Recently, causative mutations in EXOSC3 were reported in a majority of PCH1 patients, but the detailed clinical phenotype caused by EXOSC3 mutations, genotype-phenotype correlations, and prevalent mutations in specific ethnic groups is not yet known. Three unrelated Czech Roma patients with PCH1 were investigated clinically, electrophysiologically, neuroradiologically, and neuropathologically (patients 1 and 2). The entire coding region of the EXOSC3 gene, including the adjacent intron sequences, was sequenced in all three patients. The same mutation c.92G→C, p.G31A in EXOSC3 was found in all three affected patients in homozygous state and in heterozygous state in the parents from two of the families. Haplotype analysis with four flanking microsatellite markers showed identical haplotype in 9 out of 11 haplotypes carrying the c.92G→C, p.G31A mutation. Furthermore, four heterozygotes for this mutation were found in anonymous DNA samples from 90 unrelated Roma individuals. All four of these samples shared the same haplotype. No heterozygous sample was found among 120 anonymous DNA samples from Czech non-Roma individuals with no familial relation. It may therefore be concluded that EXOSC3 c.92G→C, p.G31A mutation is a founder mutation with high prevalence among the Czech Roma causing a similar and particularly severe phenotype of PCH1. These observations from the Czech Roma may have consequences also for other Roma from other countries. PCH1 caused by EXOSC3 founder mutation c.92G→C, p.G31A extends the list of autosomal recessive disorders rare among the general population but more frequent among Roma at least in the Czech Republic.
Anaerobe | 2014
Marcela Krutova; Otakar Nyc; Ed J. Kuijper; Lenka Geigerova; Jana Matejkova; Tamara Bergerova; Mardjan Arvand
The first case of Clostridium difficile RT027 infection in the Czech Republic (CZ) was identified. The patient had been hospitalised in Germany prior to moving to CZ. Multiple-Locus Variable number tandem repeat Analysis revealed a genetic relatedness between the patients isolate and RT027 isolate collected in the German hospital.
Anaerobe | 2015
Marcela Krutova; Jana Matejkova; Jan Tkadlec; Otakar Nyc
Antibiotic profiling of twenty Czech Clostridium difficile PCR-ribotype 176 isolates revealed a high level of resistance to erythromycin, ciprofloxacin and moxifloxacin (n = 20) and to rifampicin (n = 13). Accumulation of resistance mechanisms to multiple antibiotics highlight that PCR-ribotype 176 belong to problematic epidemic strains.
Eurosurveillance | 2016
Marcela Krutova; Jana Matejkova; Ed J. Kuijper; Pavel Drevinek; Otakar Nyc
In 2014, 18 hospitals in the Czech Republic participated in a survey of the incidence of Clostridium difficile infections (CDI) in the country. The mean CDI incidence was 6.1 (standard deviation (SD):7.2) cases per 10,000 patient bed-days and 37.8 cases (SD: 41.4) per 10,000 admissions. The mean CDI testing frequency was 39.5 tests (SD: 25.4) per 10,000 patient bed-days and 255.8 tests (SD: 164.0) per 10,000 admissions. A total of 774 C. difficile isolates were investigated, of which 225 (29%) belonged to PCR ribotype 176, and 184 isolates (24%) belonged to PCR ribotype 001. Multilocus variable-number tandem repeat analysis (MLVA) revealed 27 clonal complexes formed by 84% (190/225) of PCR ribotype 176 isolates, and 14 clonal complexes formed by 77% (141/184) of PCR ribotype 001 isolates. Clonal clusters of PCR ribotypes 176 and 001 were observed in 11 and 7 hospitals, respectively. Our data demonstrate the spread of two C. difficile PCR ribotypes within 18 hospitals in the Czech Republic, stressing the importance of standardising CDI testing protocols and implementing mandatory CDI surveillance in the country.
International Journal of Medical Microbiology | 2016
Marcela Krutova; Otakar Nyc; Jana Matejkova; Franz Allerberger; Mark H. Wilcox; Ed J. Kuijper
Clostridium difficile is a leading nosocomial pathogen and molecular typing is a crucial part of monitoring its occurrence and spread. Over a three-year period (2013-2015), clinical C. difficile isolates from 32 Czech hospitals were collected for molecular characterisation. Of 2201 C. difficile isolates, 177 (8%) were non-toxigenic, 2024 (92%) were toxigenic (tcdA and tcdB) and of these, 677 (33.5%) carried genes for binary toxin production (cdtA, cdtB). Capillary-electrophoresis (CE) ribotyping of the 2201 isolates yielded 166 different CE-ribotyping profiles, of which 53 were represented by at least two isolates for each profile. Of these, 29 CE-ribotyping patterns were common to the Leeds-Leiden C. difficile reference strain library and the WEBRIBO database (83.7% isolates), and 24 patterns were recognized only by the WEBRIBO database (11.2% isolates). Isolates belonging to these 53 CE-ribotyping profiles comprised 94.9% of all isolates. The ten most frequent CE-ribotyping profiles were 176 (n=588, 26.7%), 001 (n=456, 20.7%), 014 (n=176, 8%), 012 (n=127, 5.8%), 017 (n=85, 3.9%), 020 (n=68, 3.1%), 596 (n=55, 2.5%), 002-like (n=45, 2.1%), 010 (n=35, 1.6%) and 078 (n=34, 1.6%). Multi-locus sequence typing (MLST) of seven housekeeping genes performed in one isolate of each of 53 different CE-ribotyping profiles revealed 40 different sequence types (STs). We conclude that molecular characterisation of Czech C. difficile isolates revealed a high diversity of CE-ribotyping profiles; the prevailing RTs were 001 (20.7%) and 176 (027-like, 26.7%).
Folia Microbiologica | 2015
Otakar Nyc; Marcela Krutova; Jiri Kriz; Jana Matejkova; Eliska Bebrova; Veronika Hysperska; Ed J. Kuijper
Extra-intestinal infections caused by Clostridium difficile are rare. The risk of extra-intestinal infections associated with C. difficile may be particularly relevant in environments contaminated with C. difficile spores. This paper describes the case of a non-diarrheic patient colonized with C. difficile ribotype 014 in the intestinal tract who developed a post-surgical wound infection by C. difficile ribotype 078. The infection responded to metronidazole administered first intravenously and then orally. This case indicates that C. difficile may not only be related to diarrheic diseases, but also to infections of non-healing wounds, especially in situations when C. difficile is the only isolated pathogen.
Folia Microbiologica | 2018
Martina Krehelova; Otakar Nyc; Eva Sinajová; Marcela Krutova
This study aimed to implement a toxigenic culture as an optional third diagnostic step for glutamate dehydrogenase (GDH)-positive and toxin A/B-negative diarrheal stool samples into a diagnostic algorithm for Clostridioides (Clostridium) difficile infection (CDI), and to characterise C. difficile isolates for epidemiological purposes. During the 5-month study, 481 diarrhoeal stool samples from three Slovak hospitals were investigated and 66 non-duplicated GDH-positive stool samples were found. Of them, 36 were also toxin A/B-positive. Twenty-three GDH-positive and toxin A/B-negative stool samples were shown subsequently to be positive following toxigenic culture (TC). Molecular characterisation of C. difficile isolates showed the predominance of PCR ribotype (RT) 001 (n = 37, 56.1%) and the occurrence of RT 176 (n = 3, 4.5%). C. difficile RT 001 isolates clustered to eight clonal complexes (CCs) using multiple-locus variable-number tandem repeats analysis (MLVA). Interestingly, one third of RT 001 isolates clustering in these CCs were cultured from toxin A/B-negative stool samples. Our observations highlight the need of use multiple step diagnostic algorithm in CDI diagnosis in order to detect all CDI cases and to avoid the spread of C. difficile in healthcare settings.
Folia Microbiologica | 2014
Marcela Krutova; Jana Matejkova; Otakar Nyc
Anaerobe | 2016
Sylvia Polivkova; Marcela Krutova; Katarina Petrlova; Jiri Benes; Otakar Nyc
European Journal of Clinical Microbiology & Infectious Diseases | 2015
Otakar Nyc; Marcela Krutova; A. Liskova; Jana Matejkova; Jiri Drabek; Ed J. Kuijper