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4. Comparative evaluation of culture results and composition of microbiome of removed tonsils due to distant focal disease or other reasons. A prospective pilot study.

Author

Bella, Zsolt, Erdélyi, Eszter, Kiricsi, Ágnes, Gaál, Veronika, Lázár, Andrea, Maróti, Gergely, Wirth, Roland, Sóki, József, and Nagy, Elisabeth

Subjects
TONSILS, ORAL microbiology, ANAEROBIC bacteria, PILOT projects, LONGITUDINAL method, ANAEROBIC microorganisms, STAPHYLOCOCCUS aureus
Abstract

The aim of this prospective pilot study was to compare culture and microbiome results of the removed tonsils of patients with assumed distant focal disease (11 patients) and those who underwent a tonsillectomy, due to other reasons, such as recurrent tonsillitis, tonsil stones or snoring (nine patients). Aerobic culture was carried out for samples taken from the surface of the tonsils by swabs before tonsillectomy for all 20 patients. The squeezed detritus and the tissue samples of removed tonsils, taken separately for the right and left tonsils, were incubated aerobically and anaerobically. The microbiome composition of tissue samples of removed tonsils was also evaluated. Based on the culture results of the deep samples Staphylococcus aureus was the dominating pathogen, besides a great variety of anaerobic and facultative anaerobic bacteria present in the oral microbiota in those patients who underwent tonsillectomy due to distant focal diseases. Microbiome study of the core tissue samples showed a great diversity on genus and species level among patients of the two groups however, S. aureus and Prevotella nigrescens were present in higher proportion in those, whose tonsils were removed due to distant focal diseases. Our results may support previous findings about the possible triggering role of S. aureus and P. nigrescens leading to distant focal diseases. Samples taken by squeezing the tonsils could give more information about the possible pathogenic/triggering bacteria than the surface samples cultured only aerobically. [ABSTRACT FROM AUTHOR]

Published
2024
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5. Detection of beta-lactamase production in clinical Prevotella species by MALDI-TOF MS method

Author

Leitner, Eva, Wybo, Ingrid, Tripkovic, Vesna, Justesen, Ulrik S., Jean-Pierre, Helene, Stingu, Suzana C., Rodloff, Arne C., Paparaskevas, Joseph, Urban, Edit, Jamal, Wafaa, Rotimi, Vincent O., Veloo, Alida C.M., Jeverica, Samo, Kulekci, Guven, Tokman, Hrisi B., Morris, Trefor, Toprak, Nurver Ulger, Akgul, Oncu, Sóki, József, Soyletir, Guner, and Nagy, Elisabeth

Published
2020
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9. Proteomics-Based RT-qPCR and Functional Analysis of 18 Genes in Metronidazole Resistance of Bacteroides fragilis.

Author

Mahmood, Bakhtiyar, Paunkov, Ana, Kupc, Malgorzata, Burián, Katalin, Nagy, Elisabeth, Leitsch, David, and Sóki, József

Subjects
BACTEROIDES fragilis, SUCCINATE dehydrogenase, FUNCTIONAL analysis, METRONIDAZOLE, PHOSPHOGLYCERATE kinase, COFACTORS (Biochemistry)
Abstract

Previously, we reported that metronidazole MICs are not dependent on the expression levels of nim genes in B. fragilis strains and we compared the proteomes of metronidazole-resistant laboratory B. fragilis strains to those of their susceptible parent strains. Here, we used RT-qPCR to correlate the expression levels of 18 candidate genes in a panel of selected, clinical nim gene-positive and -negative B. fragilis strains to their metronidazole MICs. Metronidazole MICs were correlated with the expression of certain tested genes. Specifically, lactate dehydrogenase expression correlated positively, whereas cytochrome fumarate reductase/succinate dehydrogenase, malate dehydrogenase, phosphoglycerate kinase redox and gat (GCN5-like acetyltransferase), and relA (stringent response) regulatory gene expressions correlated negatively with metronidazole MICs. This result provides evidence for the involvement of carbohydrate catabolic enzymes in metronidazole resistance in B. fragilis. This result was supported by direct substrate utilization tests. However, the exact roles of these genes/proteins should be determined in deletion–complementation tests. Moreover, the exact redox cofactor(s) participating in metronidazole activation need to be identified. [ABSTRACT FROM AUTHOR]

Published
2024
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14. Fear of making a mistake : a prominent cause of stress for COVID-19 ICU staff-a mixed-methods study

Author

Escher, Cecilia, Nagy, Elisabeth, Creutzfeldt, Johan, Dahl, Oili, Ruiz, Mini, Ericson, Mats, Osika, Walter, Meurling, Lisbet, Escher, Cecilia, Nagy, Elisabeth, Creutzfeldt, Johan, Dahl, Oili, Ruiz, Mini, Ericson, Mats, Osika, Walter, and Meurling, Lisbet

Abstract

IntroductionThe COVID-19 pandemic has had a profound effect on many domains of healthcare. Even in high-income countries such as Sweden, the number of patients has vastly outnumbered the resources in affected areas, in particular during the first wave. Staff caring for patients with COVID-19 in intensive care units (ICUs) faced a very challenging situation that continued for months. This study aimed to describe burnout, safety climate and causes of stress among staff working in COVID-19 ICUs.MethodA survey was distributed to all staff working in ICUs treating patients with COVID-19 in five Swedish hospitals during 2020 and 2021. The numbers of respondents were 104 and 603, respectively. Prepandemic data including 172 respondents from 2018 served as baseline.ResultsStaff exhaustion increased during the pandemic, but disengagement decreased compared with prepandemic levels (p<0.001). Background factors such as profession and work experience had no significant impact, but women scored higher in exhaustion. Total workload and working during both the first and second waves correlated positively to exhaustion, as did being regular ICU staff compared with temporary staff. Teamwork and safety climate remained unchanged compared with prepandemic levels.Respondents reported 'making a mistake' as the most stressful of the predefined stressors. Qualitative analysis of open-ended questions identified 'lack of knowledge and large responsibility', 'workload and work environment', 'uncertainty', 'ethical stress' and 'organization and teamwork' as major causes of stress.ConclusionDespite large workloads, disengagement at work was low in our sample, even compared with prepandemic levels. High levels of exhaustion were reported by the ICU staff who carried the largest workload. Multiple significant causes of stress were identified, with fear of making a mistake the most significant stressor., QC 20240301

Published
2023
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16. List of Contributors

Author

Agnihotri, Shekhar, primary, Ajji, Abdellah, additional, Arcidiacono, Steven, additional, Ardila, Nury, additional, Ariyanto, Hermawan D., additional, Arkoun, Mounia, additional, Azlin-Hasim, Shafrina, additional, Bădiceanu, Maria, additional, Bajpai, Jaya, additional, Bajpai, Anil K., additional, Bassegoda, Arnau, additional, Bazgan, Sergiu, additional, Both, Cara, additional, Cerkez, Idris, additional, Chaturvedi, Anupama, additional, Chen, Ying-Hung, additional, Cruz-Romero, Malco, additional, Cummins, Enda, additional, Dékány, Imre, additional, Dhiman, Navneet K., additional, Díez-Pascual, Ana M., additional, Enaki, Nicolae, additional, Filocamo, Shaun, additional, Gedanken, Aharon, additional, Grethe, Thomas, additional, Hassan, Mohammad M., additional, He, Ju-Liang, additional, Heuzey, Marie-Claude, additional, Ivanova, Kristina, additional, Janovák, László, additional, Joßen, Anika, additional, Kerry, Joseph P., additional, Leong, Susanna S.J., additional, Lim, Kaiyang, additional, Mahltig, Boris, additional, Mandracci, Pietro, additional, Manjumeena, Rajarathinam, additional, Mihailescu, Cristian N., additional, Mihailescu, Ion N., additional, Mishra, Biswajit, additional, Morris, Michael A., additional, Mussano, Federico, additional, Nagy, Elisabeth, additional, Nawani, Pranav, additional, Neoh, Tze L., additional, Paslari, Tatiana, additional, Perelshtein, Ilana, additional, Perkas, Nina, additional, Place, Laura, additional, Profir, Aurelia, additional, Rabe, Maike, additional, Ristoscu, Carmen, additional, Singh, Anamika, additional, Stote, Robert, additional, Sullivan, David Joseph, additional, Tallósy, Szabolcs P., additional, Terzioglu, Fikret, additional, Tiwari, Atul, additional, Tripathi, Anuj, additional, Tzanov, Tzanko, additional, Ünal, Hayriye, additional, Walters, Dana, additional, Wang, Guangshun, additional, Yemenicioğlu, Ahmet, additional, and Yoshii, Hidefumi, additional

Published
2018
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25. Comparing identification of clinically relevant Prevotella species by VITEK MS and MALDI biotyper

Author

ESCMID Study Group for Anaerobic Infections (ESGAI), Toprak, Nurver Ulger, Alida C M, Veloo, Urban, Edit, Wybo, Ingrid, Jean-Pierre, Helene, Morris, Trefor, Justesen, Ulrik Stenz, Tripkovic, Vesna, Jeverica, Samo, Soyletir, Guner, Nagy, Elisabeth, Toprak, Nurver Ulger, Veloo, Alida C. M., Urban, Edit, Wybo, Ingrid, Jean-Pierre, Helene, Morris, Trefor, Justesen, Ulrik Stenz, Tripkovic, Vesna, Jeverica, Samo, Soyletir, Guner, Nagy, Elisabeth, Clinical sciences, Microbiology and Infection Control, and Clinical Biology

Subjects
Sequence analysis, Prevotella, MULTICENTER EVALUATION, VITEK MS, Microbiology, 03 medical and health sciences, 0302 clinical medicine, Species level, Genus, MALDI Biotyper, ANAEROBIC-BACTERIA, Bacteroidaceae Infections, Humans, 030212 general & internal medicine, Prevotella species, 16S rRNA gene sequencing, mass spectrometry, 0303 health sciences, General Immunology and Microbiology, biology, Mass spectrometry, TOF MS, 030306 microbiology, Sequence Analysis, DNA, General Medicine, DESORPTION-IONIZATION-TIME, biology.organism_classification, anaerobic bacteria, ROUTINE IDENTIFICATION, Bacterial Typing Techniques, Europe, Anaerobic bacteria, Multicenter study, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, FLIGHT MASS-SPECTROMETRY, 16s rrna gene sequencing, SYSTEM
Abstract

In this multicenter study, we aimed to evaluate the performance of MALDI Biotyper and VITEK MS, for identification of Prevotella species. Three hundred and fourteen clinical isolates, collected in eight European countries between January 2014 and April 2016, were identified at the collecting sites by MALDI Biotyper (versions 3.0 and 3.1) and then reidentified by VITEK MS (version 3.0) in the central laboratory. 16S rRNA gene sequencing was used as a standard method. According to sequence analysis, the 314 Prevotella strains belonged to 19 species. MALDI Biotyper correctly identified 281 (89.5%) isolates to the species level and 33 (10.5%) only at the genus level. VITEK MS correctly identified 253 (80.6%) isolates at the species level and 276 (87.9%) isolates at the genus level. Thirty-three isolates belonging to P. bergensis, P. conceptionensis, P. corporis, P. histicola, and P. nanciensis, unavailable in the VITEK MS 3.0 database, were resulted in genus level or no identification. Six Prevotella strains, belonged to P. veroralis, P. timonensis, and P. conceptionensis not represented in the MALDI Biotyper system database, were misidentified at the genus level. In conclusion, both VITEK MS and MALDI Biotyper provided reliable and rapid identification. However, the permanent extension of the databases is needed.

Published
2020

32. The Role of Anaerobic Bacteria in Prostatitis

Author

Nagy, Elisabeth, Szöke, Ildikó, Török, László, Pajor, László, Back, Nathan, editor, Cohen, Irun R., editor, Kritchevsky, David, editor, Lajtha, Abel, editor, Paoletti, Rodolfo, editor, Emoődy, Levente, editor, Pál, Tibor, editor, Hacker, Jörg, editor, and Blum-Oehler, Gabriele, editor

Published
2002
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47. Performance of mass spectrometric identification of clinical Prevotella species using the VITEK MS system:A prospective multi-center study

Author

Ulger Toprak, Nurver, Veloo, Alida C M, Urban, Edit, Wybo, Ingrid, Justesen, Ulrik S, Jean-Pierre, Helene, Morris, Trefor, Akgul, Oncu, Kulekci, Guven, Soyletir, Guner, Nagy, Elisabeth, ESCMID Study Group for Anaerobic Infections (ESGAI), Toprak, Nurver Ulger, Alida, Veloo C. M., Urban, Edit, Wybo, Ingrid, Justesen, Ulrik S., Jean-Pierre, Helene, Morris, Trefor, Akgul, Oncu, Kulekci, Guven, Soyletir, Guner, Nagy, Elisabeth, Tripkovic, Vesna, Leitner, Eva, Jeverica, Samo, Stingue, Suzana C., Rodloff, Arne C., Paparaskevas, Joseph, Jamal, Wafaa, Rotimi, Vincent O., Tokman, Hrisi B., Clinical sciences, and Microbiology and Infection Control

Subjects
0301 basic medicine, DNA, Bacterial, MALDI-TOF, MICROBIOLOGY, Turkey, 030106 microbiology, Prevotella, SUSCEPTIBILITY, VITEK MS, infectious diseases, DESORPTION IONIZATION-TIME, System a, Microbiology, LASER-DESORPTION/IONIZATION-TIME, 03 medical and health sciences, Genus, RNA, Ribosomal, 16S, ANAEROBIC-BACTERIA, Bacteroidaceae Infections, Humans, Prevotella species, Prospective Studies, 16S rRNA, biology, MALDI-TOF mass spectrometry, 16S ribosomal RNA, biology.organism_classification, Mass spectrometric, Bacterial Typing Techniques, Anaerobic bacteria, 030104 developmental biology, Kuwait, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Identification (biology)
Abstract

Prevotella species, members of the human microbiota, can cause opportunistic infections. Rapid and accurate identification of Prevotella isolates plays a critical role in successful treatment, especially since the antibiotic susceptibility profile differs between species. Studies, mostly carried out using the Matrix Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) Biotyper system, showed that MALDI-TOF MS is an accurate, rapid and satisfactory method for the identification of clinically important anaerobes. In this multi-center study, we assessed the performance of the MALDI-TOF MS VITEK MS system for the identification of clinical Prevotella isolates. A total of 508 Prevotella isolates, representing 19 different species, collected from 11 European countries, Kuwait and Turkey between January 2014 and April 2016, were identified using VITEK MS (v3.0). The reliability of the identification was assessed by 16S rRNA gene sequencing. Using VITEK MS, 422 (83.1%) of the 508 isolates were identified on the species level, 459 (90.4%) on the genus level. A total of 49 (9.6%) isolates were not identified correctly. 16S rRNA gene sequencing results showed that this was partly due to the fact that several species were not represented in the database. However, some species that were represented in the database were also not identified. Five Prevotella strains were misidentified at the genus level, 2 of these strains belonged to a species not represented in the database. In general, the VITEK MS offers a reliable and rapid identification of Prevotella species, however the databases needs to be expanded. (C) 2018 Published by Elsevier Ltd.

Published
2018

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