The spread of carbapenemase-producing Klebsiella pneumoniae (CP-Kp) strains belonging to high-risk sequence types (STs) is a concern. For Switzerland, national data about the molecular features (especially the STs) of CP-Kp of human origin is not available. In veterinary clinics, ST11 and ST307 bla_OXA-48-possessing K. pneumoniae strains have been recently reported. We analysed a collection of 285 K. pneumoniae genomes (170 were CP-Kp) isolated in Switzerland from human and non-human sources during 2006-2020. Whole-genome sequencing, core genome phylogenies and public databases were used to present a detailed overview regarding carbapenemases, STs and plasmids. The top five STs were (main carbapenemase gene) ST512 (bla_KPC-3), ST258 (bla_KPC-2) and ST101 (bla_OXA-48), consisting of strains of human origin only, and ST11 (bla_OXA-48) and ST307 (bla_OXA-48) strains isolated from human, animal and environmental sources. However, during 2016-2020, the main STs for CP-Kp were ST11 (17.6%), ST307 and ST101 (both 14.7%), whereas ST258 (5.9%) and ST512 (4.4%) significantly declined. Most carbapenemase genes were carried on plasmids already described. Core genome analysis revealed that ST11 K. pneumoniae of animal and human origin were closely related, whereas those of ST307 were distant. We described, for the first time, the features of the CP-Kp circulating in Switzerland in human and non-human settings. Our genomic analysis revealed that the emerging high-risk ST11 and ST307 lineages were often isolated from non-human settings. This study provided a baseline for further whole-genome sequencing-based One-Health surveillance of CP-Kp and emphasized the need for metadata to track dissemination routes between the different settings.

In December 2020, the United Kingdom (UK) reported a SARS-CoV-2 Variant of Concern (VoC) which is now named B.1.1.7. Based on initial data from the UK and later data from other countries, this variant was estimated to have a transmission fitness advantage of around 40–80 % (Volz et al., 2021; Leung et al., 2021; Davies et al., 2021). This study aims to estimate the transmission fitness advantage and the effective reproductive number of B.1.1.7 through time based on data from Switzerland. We generated whole genome sequences from 11.8 % of all confirmed SARS-CoV-2 cases in Switzerland between 14 December 2020 and 11 March 2021. Based on these data, we determine the daily frequency of the B.1.1.7 variant and quantify the variant’s transmission fitness advantage on a national and a regional scale. We estimate B.1.1.7 had a transmission fitness advantage of 43–52 % compared to the other variants circulating in Switzerland during the study period. Further, we estimate B.1.1.7 had a reproductive number above 1 from 01 January 2021 until the end of the study period, compared to below 1 for the other variants. Specifically, we estimate the reproductive number for B.1.1.7 was 1.24 [1.07–1.41] from 01 January until 17 January 2021 and 1.18 [1.06–1.30] from 18 January until 01 March 2021 based on the whole genome sequencing data. From 10 March to 16 March 2021, once B.1.1.7 was dominant, we estimate the reproductive number was 1.14 [1.00–1.26] based on all confirmed cases. For reference, Switzerland applied more non-pharmaceutical interventions to combat SARS-CoV-2 on 18 January 2021 and lifted some measures again on 01 March 2021. The observed increase in B.1.1.7 frequency in Switzerland during the study period is as expected based on observations in the UK. In absolute numbers, B.1.1.7 increased exponentially with an estimated doubling time of around 2–3.5 weeks. To monitor the ongoing spread of B.1.1.7, our plots are available online.

Whole-Blood Interferon-Gamma Release Assay for Baseline Tuberculosis Screening of Healthcare Workers at a Swiss University Hospital - Volume 29 Issue 7 - Ariane Stebler, Patricia Iseli, Kathrin Mühlemann, Thomas Bodmer

Background: Few methicillin-resistantStaphylococcus aureus(MRSA) from the early years of its global emergence have been sequenced. Knowledge about evolutionary factors promoting the success of specific MRSA multi-locus sequence types (MLSTs) remains scarce. We aimed to characterize a legacy MRSA collection isolated from 1965 to 1987 and compare it against publicly available international and local genomes.Methods: We accessed 451 historic (1965–1987) MRSA isolates stored in the Culture Collection of Switzerland, mostly collected from the Zurich region. We determined phenotypic antimicrobial resistance (AMR) and performed whole genome sequencing (WGS) using Illumina short-read sequencing on all isolates and long-read sequencing on a selection with Oxford Nanopore Technology. For context, we included 103 publicly available international assemblies from 1960 to 1992 and sequenced 1207 modern Swiss MRSA isolates from 2007 to 2022. We analyzed the core genome (cg)MLST and predicted SCCmeccassette types, AMR, and virulence genes.Results: Among the 451 historic Swiss MRSA isolates, we found 17 sequence types (STs) of which 11 have been previously described. Two STs were novel combinations of known loci and six isolates carried previously unsubmitted MLST alleles, representing five new STs (ST7843, ST7844, ST7837, ST7839, and ST7842). Most isolates (83% 376/451) represented ST247-MRSA-I isolated in the 1960s, followed by ST7844 (6% 25/451), a novel single locus variant (SLV) of ST239. Analysis by cgMLST indicated that isolates belonging to ST7844-MRSA-III cluster within the diversity of ST239-MRSA-III. Early MRSA were predominantly from clonal complex (CC)8. From 1980 to the end of the twentieth century, we observed that CC22 and CC5 as well as CC8 were present, both locally and internationally.Conclusions: The combined analysis of 1761 historic and contemporary MRSA isolates across more than 50 years uncovered novel STs and allowed us a glimpse into the lineage flux between Swiss-German and international MRSA across time.

During the SARS-CoV-2 pandemic, the Dr. Risch medical group employed the multiplex TaqPath^TM COVID-19 CE-IVD RT-PCR Kit for large-scale routine diagnostic testing in Switzerland and the principality of Liechtenstein. The TaqPath Kit is a widely used multiplex assay targeting three genes (i.e., ORF1AB, N, S). With emergence of the B.1.1.7 (Alpha) variant, a diagnostic flaw became apparent as the amplification of the S-gene target was absent in these samples due to a deletion (ΔH69/V70) in the Alpha variant genome. This S-gene target failure (SGTF) was the earliest indication of a new variant emerging and was also observed in subsequent variants such as Omicron BA.1 and BA4/BA.5. The Delta variant and Omicron BA.2 did not present with SGTF. From September 2020 to November 2022, we investigated the applicability of the SGTF as a surrogate marker for emerging variants such as B.1.1.7, B.1.617.2 (Delta), and Omicron BA.1, BA.2, and BA.4/BA.5 in samples with cycle threshold (Ct) values < 30. Next to true SGTF-positive and SGTF-negative samples, there were also samples presenting with delayed-type S-gene amplification (higher Ct value for S-gene than ORF1ab gene). Among these, a difference of 3.8 Ct values between the S- and ORF1ab genes was found to best distinguish between “true” SGTF and the cycle threshold variability of the assay. Samples above the cutoff were subsequently termed partial SGTF (pSGTF). Variant confirmation was performed by whole-genome sequencing (Oxford Nanopore Technology, Oxford, UK) or mutation-specific PCR (TIB MOLBIOL). In total, 17,724 (7.4%) samples among 240,896 positives were variant-confirmed, resulting in an overall sensitivity and specificity of 93.2% [92.7%, 93.7%] and 99.3% [99.2%, 99.5%], respectively. Sensitivity was increased to 98.2% [97.9% to 98.4%] and specificity lowered to 98.9% [98.6% to 99.1%] when samples with pSGTF were included. Furthermore, weekly logistic growth rates (α) and sigmoid’s midpoint (t₀) were calculated based on SGTF data and did not significantly differ from calculations based on comprehensive data from GISAID. The SGTF therefore allowed for a valid real-time estimate for the introduction of all dominant variants in Switzerland and Liechtenstein.

Purpose Molecular methods to detect antimicrobial resistance in Neisseria gonorrhoeae (Ng) are increasingly needed worldwide to improve diagnostic tests and enable individualized patient treatments. The Allplex™ NG & DR Assay (NG & DR assay) was assessed for its ability to detect Ng and its antimicrobial resistance. The assay predicts ciprofloxacin resistance and susceptibility by targeting the molecular antimicrobial resistance (AMR) determinant gyrA S91F. The AMR determinants 23 S rRNA A2059G and C2611T were investigated to predict azithromycin wild-type and nonwild-type genotypes. Methods After antimicrobial susceptibility testing, 153 Ng isolates were evaluated with the NG & DR assay. Furthermore, 394 clinal specimens, including 76 with corresponding antimicrobial susceptibility results, were analyzed simultaneously by the NG & DR assay and the in-house SYBR-Green assay. Results The NG & DR assay predicted ciprofloxacin resistance and susceptibility with a sensitivity and specificity of 98.2% and 100.0%, respectively, and the results were consistent with those of the SYBR-Green assay for the detection of S91F. For the prediction of azithromycin nonwild-type and wild-type genotypes, the NG & DR assay demonstrated a sensitivity and specificity of 50.0% and 100.0%, respectively. Conclusion The NG & DR assay demonstrated promising results for the molecular prediction of ciprofloxacin resistance and susceptibility, expanding the potential diagnostic tool kit for individualized patient treatment. Furthermore, it might serve as a surveillance tool for azithromycin nonwild-type strains.