Parenting and caregiving duties as career challenges among clinical microbiologists: a cross-sectional survey

Aim: To estimate the burden of parenting and caregiving duties among clinical microbiologists in Germany and to identify workplace-related support systems and barriers to engaging in career-relevant activities. Methods: A cross-sectional web-based survey was conducted. Participants were asked to answer 37 questions, of which 24 specifically addressed parenting and caregiving duties. Results: Only few workplace-related support systems are currently available, and experiences of job-related disadvantages were frequently reported (27 of 47; 57.4%). Main barriers were a lack of flexible working hours and reliable childcare. Sociocultural norms and a lack of role models were perceived as detrimental. Conclusion: More support systems and a credible culture of family friendliness are needed to prevent jeopardizing the academic potential of young parents

Benchmarking MicrobIEM – a user-friendly tool for decontamination of microbiome sequencing data

Background Microbiome analysis is becoming a standard component in many scientific studies, but also requires extensive quality control of the 16S rRNA gene sequencing data prior to analysis. In particular, when investigating low-biomass microbial environments such as human skin, contaminants distort the true microbiome sample composition and need to be removed bioinformatically. We introduce MicrobIEM, a novel tool to bioinformatically remove contaminants using negative controls. Results We benchmarked MicrobIEM against five established decontamination approaches in four 16S rRNA amplicon sequencing datasets: three serially diluted mock communities (108–103 cells, 0.4–80% contamination) with even or staggered taxon compositions and a skin microbiome dataset. Results depended strongly on user-selected algorithm parameters. Overall, sample-based algorithms separated mock and contaminant sequences best in the even mock, whereas control-based algorithms performed better in the two staggered mocks, particularly in low-biomass samples (≤ 106 cells). We show that a correct decontamination benchmarking requires realistic staggered mock communities and unbiased evaluation measures such as Youden’s index. In the skin dataset, the Decontam prevalence filter and MicrobIEM’s ratio filter effectively reduced common contaminants while keeping skin-associated genera. Conclusions MicrobIEM’s ratio filter for decontamination performs better or as good as established bioinformatic decontamination tools. In contrast to established tools, MicrobIEM additionally provides interactive plots and supports selecting appropriate filtering parameters via a user-friendly graphical user interface. Therefore, MicrobIEM is the first quality control tool for microbiome experts without coding experience

Response to 'Anal cancer screening and Pap testing acceptability among HIV‐positive men who have sex with men populations'

Participation of patients is key to establishing successful prevention programs in health care. Unfortunately, the attendance of follow-up appointments in our study was low due to various reasons. In general, our impression during the study was that anal Pap smear screening was well-tolerated by study participants and low patient acceptance of the examination was not the main reason for a low rate of follow-up appointments1

Microbiome of barrier organs in allergy: who runs the world? Germs!

Over the last few decades, allergic diseases have been steadily increasing worldwide, a phenomenon that is not yet completely understood. Recent evidence, however, suggests that alterations in the microbiome may be a contributing factor. The microbiome refers to all microorganisms in a habitat including bacteria, fungi, and viruses. Using modern sequencing technologies, we are now capable of detecting and analyzing the human microbiome in more detail than ever before. Epidemiological and experimental studies have indicated that a complex intestinal microbiome supports the development of the immune system during childhood, thus providing protection from allergic diseases, including food allergy. The microbiome becomes an important part of human physiology and forms dynamic relationships with our various barrier systems. For example, bacterial dysbiosis is a hallmark of atopic eczema and correlates with disease progression. Similarly, the lung and nasopharyngeal microbiome is altered in patients with asthma and allergic rhinitis. While these results are interesting, the underlying mechanisms are still unclear and need to be investigated with functional studies. This review gives a short overview of the terminology and methods used in microbiome research before highlighting results concerning the lung, skin, and intestinal microbiome in allergic diseases

Atopisches Ekzem und Mikrobiom

Background. Atopic eczema is a chronic inflammatory skin disease characterized by skin barrier disruption, inflammation and dysbiosis. Furthermore, atopic eczema is associated with other diseases of the atopic group, such as allergies, rhinoconjunctivitis and asthma. The skin microbiome consists of bacteria, viruses and fungi. Patients suffering from atopic eczema often show an imbalance (dysbiosis) of the microbiome.Objective. It is not yet completely clarified what influence dysbiosis and the cutaneous microbiome have on the development and severity of atopic eczema. Modern sequencing methods will be used to investigate the role of the skin microbiome in the pathogenesis of atopic eczema in the future.Material and methods. This article presents and discusses the results of current basic research.Results. The human skin microbiome differs according to body region, age and gender. It interacts with the skin barrier and the cutaneous immune system. Patients suffering from atopic eczema develop dysbiosis consisting of an increased load of Staphylococcus aureus and a reduction of commensal skin bacteria. The altered skin microbiome in patients suffering from atopic eczema may also affect skin barrier function and inflammatory reactions.Conclusion. Knowledge of the skin microbiome has improved in recent years. This will certainly improve the understanding of the pathogenesis causing atopic eczema. These findings may also form the foundation of new treatment and prevention strategies for atopic eczema in the future

The Use of Long-Read Sequencing Technologies in Infection Control: Horizontal Transfer of a <i>bla_CTX-M-27</i> Containing lncFII Plasmid in a Patient Screening Sample

Plasmid transfer is one important mechanism how antimicrobial resistance can spread between different species, contributing to the rise of multidrug resistant bacteria (MDRB) worldwide. Here were present whole genome sequencing (WGS) data of two MDRB isolates, an Escherichia coli and a Klebsiella quasipneumoniae, which were isolated from a single patient. Detailed analysis of long-read sequencing data identified an identical F2:A-:B- lncFII plasmid containing blaCTX-M-27 in both isolates, suggesting horizontal plasmid exchange between the two species. As the plasmid of the E. coli strain carried multiple copies of the resistance cassette, the genomic data correlated with the increased antimicrobial resistance (AMR) detected for this isolate. Our case report demonstrates how long-read sequencing data of MDRB can be used to investigate the role of plasmid mediate resistance in the healthcare setting and explain resistance phenotypes

A nosocomial cluster of vancomycin resistant enterococci among COVID-19 patients in an intensive care unit

Background!#!Currently, hospitals have been forced to divert substantial resources to cope with the ongoing coronavirus disease 2019 (COVID-19) pandemic. It is unclear if this situation will affect long-standing infection prevention practices and impact on healthcare associated infections. Here, we report a nosocomial cluster of vancomycin-resistant enterococci (VRE) that occurred on a COVID-19 dedicated intensive care unit (ICU) despite intensified contact precautions during the current pandemic. Whole genome sequence-based typing (WGS) was used to investigate genetic relatedness of VRE isolates collected from COVID-19 and non-COVID-19 patients during the outbreak and to compare them to environmental VRE samples.!##!Methods!#!Five VRE isolated from patients (three clinical and two screening samples) as well as 11 VRE and six vancomycin susceptible Enterococcus faecium (E. faecium) samples from environmental sites underwent WGS during the outbreak investigation. Isolate relatedness was determined using core genome multilocus sequence typing (cgMLST).!##!Results!#!WGS revealed two genotypic distinct VRE clusters with genetically closely related patient and environmental isolates. The cluster was terminated by enhanced infection control bundle strategies.!##!Conclusions!#!Our results illustrate the importance of continued adherence to infection prevention and control measures during the COVID-19 pandemic to prevent VRE transmission and healthcare associated infections

Healthcare-Associated SARS-CoV-2 Transmission—Experiences from a German University Hospital

During the current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, healthcare systems worldwide have to prevent nosocomial SARS-CoV-2 transmission while maintaining duty of care. In our study, we characterize the transmission dynamic of SARS-CoV-2 in inpatients and healthcare workers (HCWs) at the University Hospital M&uuml;nster (UHM) in northwest Germany. We identified 27 cases of healthcare-associated SARS-CoV-2 infections (4 inpatients and 23 HCWs) who had contact with patients and/or HCWs without the use of adequate PPE. The contacts of these index cases were followed up for SARS-CoV-2 infection after unprotected exposure and a quantitative measure of probability of becoming infected, the attack rate, was calculated. In addition, transmission was evaluated in the context of infection control measures established during the pandemic and we compared the epidemiological data of all index cases, including symptoms and Ct values of virology test results. The overall attack rate in the hospital setting was 1.3% (inpatients 0.9%, HCWs 1.6%). However, during an outbreak, the attack rate was 25.5% (inpatients 20.0%, HCWs 29.6%). For both scenarios, HCWs had a higher attack rate illustrating their role in healthcare-associated SARS-CoV-2 transmission. Taken together, our experiences demonstrate how infection control measures can minimize the transmission of SARS-CoV-2 in the healthcare setting