In 2022, a cluster of severe childhood hepatitis was detected primarily in Europe and North America, leading to a global alert by the World Health Organization. An association with adeno-associated virus 2 (AAV2) in conjunction with human adenoviruses was found. Five percent of the cases progressed to acute liver failure, necessitating transplantation. The mechanism of disease that accounts for fulminant liver failure in these patients remains incompletely described. An upsurge was observed of in the five total cases of acute liver failure that presented to the Dutch national referral center for pediatric liver transplantation in the spring of 2022. An in-depth molecular analysis of the mechanism of pediatric acute liver failure was performed using targeted transcriptomics and metagenomics to identify any virus present in the cases, immune profile haplotypes, and differentially expressed gene groups. Explanted liver tissue and plasma samples (n = 15) were subjected to viral metagenomic and human transcriptomic profiling, targeting >600 inflammatory genes. Liver transcriptomic signatures of transplanted cases were compared with those of pediatric controls from a liver biobank (n = 6). AAV2, adenoviruses, and herpesviruses were detected in liver explant tissue and plasma samples of the cases. Epstein-Barr virus and varicella zoster virus infection with pathognomonic clinical symptomatology preceded liver failure in two respective cases. AAV2 was detected in one-third of control livers. Excessive activation of monocyte pathways was detected in liver explants from cases compared with controls. Remarkably, this signature was comparable for AAV2, adenoviruses, and/or herpesviruses-positive transplant cases. Our multi-omic findings suggest a common transcriptomic profile, with an upregulation of monocyte pathways in the presented transplanted cases, which had similar severe clinical outcomes. In the cohort presented, AAV2 was not exclusively associated with acute liver failure, suggesting that other processes may have contributed to a uniform cascade of irreversible pathology. IMPORTANCE:Since the appearance of the cluster of pediatric hepatitis of unknown origin in 2022, several groups have reported an association of adenoviruses and AAV2 in a high number of cases in contrast to controls. The adenoviruses detected were heterogeneous in both species-adenovirus C and F-and sequences. The mechanisms of disease that accounts for fulminant liver failure, occurring in 5% of pediatric hepatitis cases, remain incompletely described. The current study adds to previous data by including pediatric acute liver failure cases during the upsurge, enabling the analyses of inflammation expression profiles in cases with different viruses in relation to pediatric controls. This led to the discovery of transcriptome upregulation of monocyte pathways in liver explants from the cases. This inflammatory transcriptomic signature was comparable for AAV2, adenoviruses, and/or herpesviruses-positive transplant cases.

A range of cell culture infection models have been used to study SARS-CoV-2 and perform antiviral drug research. Commonly used African green monkey Vero, human lung-derived Calu-3 and ACE2+TMPRSS2-expressing A549 cells, each have their limitations. Here, we describe human ACE2-expressing H1299 lung cells as a more efficient and robust model for SARS-CoV-2 research. These cells are as easy to handle as Vero cells, support SARS-CoV-2 replication to high titers, display a functional innate immune response and are suitable for plaque assays, microscopy, the production of (genetically stable) virus stocks and antiviral assays. H1299/ACE2-based (CPE reduction) assays can be performed without adding a P-gP drug efflux pump inhibitor, which is often required in Vero-based assays. Moreover, H1299/ACE2 cells allowed us to perform CPE reduction assays with omicron variants that did not work in Vero-based assays. In summary, H1299/ACE2 cells are a versatile infection model to study SARS-CoV-2 replication in the context of antiviral drug development and virus-host interaction studies.

Metagenomics is gradually being implemented for diagnosing infectious diseases. However, in-depth protocol comparisons for viral detection have been limited to individual sets of experimental workflows and laboratories. In this study, we present a benchmark of metagenomics protocols used in clinical diagnostic laboratories initiated by the European Society for Clinical Virology (ESCV) Network on NGS (ENNGS).A mock viral reference panel was designed to mimic low biomass clinical specimens. The panel was used to assess the performance of twelve metagenomic wet lab protocols currently in use in the diagnostic laboratories of participating ENNGS member institutions. Both Illumina and Nanopore, shotgun and targeted capture probe protocols were included. Performance metrics sensitivity, specificity, and quantitative potential were assessed using a central bioinformatics pipeline.Overall, viral pathogens with loads down to 104 copies/ml (corresponding to CT values of 31 in our PCR assays) were detected by all the evaluated metagenomic wet lab protocols. In contrast, lower abundant mixed viruses of CT values of 35 and higher were detected only by a minority of the protocols. Considering the reference panel as the gold standard, optimal thresholds to define a positive result were determined per protocol, based on the horizontal genome coverage. Implementing these thresholds, sensitivity and specificity of the protocols ranged from 67 to 100% and 87 to 100%, respectively.A variety of metagenomic protocols are currently in use in clinical diagnostic laboratories. Detection of low abundant viral pathogens and mixed infections remains a challenge, implying the need for standardization of metagenomic analysis for use in clinical settings.

Viral enrichment by probe hybridization has been reported to significantly increase the sensitivity of viral metagenomics. This study compares the analytical performance of two targeted metagenomic virus capture probe-based methods: (i) SeqCap EZ HyperCap by Roche (ViroCap) and (ii) Twist Comprehensive Viral Research Panel workflow, for diagnostic use. Sensitivity, specificity, and limit of detection were analyzed using 25 synthetic viral sequences spiked in increasing proportions of human background DNA, eight clinical samples, and American Type Culture Collection (ATCC) Virome Virus Mix. Sensitivity and specificity were 95% and higher for both methods using the synthetic and reference controls as gold standard. Combining thresholds for viral sequence read counts and genome coverage [respectively 500 reads per million (RPM) and 10% coverage] resulted in optimal prediction of true positive results. Limits of detection were approximately 50-500 copies/mL for both methods as determined by ddPCR. Increasing proportions of spike-in cell-free human background sequences up to 99.999% (50 ng/mL) did not negatively affect viral detection, suggesting effective capture of viral sequences. These data show analytical performances in ranges applicable to clinical samples, for both probe hybridization metagenomic approaches. This study supports further steps toward more widespread use of viral metagenomics for pathogen detection, in clinical and surveillance settings using low biomass samples. IMPORTANCE:Viral metagenomics has been gradually applied for broad-spectrum pathogen detection of infectious diseases, surveillance of emerging diseases, and pathogen discovery. Viral enrichment by probe hybridization methods has been reported to significantly increase the sensitivity of viral metagenomics. During the past years, a specific hybridization panel distributed by Roche has been adopted in a broad range of different clinical and zoonotic settings. Recently, Twist Bioscience has released a new hybridization panel targeting human and animal viruses. This is the first report comparing the performance of viral metagenomic hybridization panels.

Coronaviruses express a papain-like protease (PLpro) that is required for replicase polyprotein maturation and also serves as a deubiquitinating enzyme (DUB). In this study, using a Middle East respiratory syndrome virus (MERS-CoV) PLpro modified virus in which the DUB is selectively inactivated, we show that the PLpro DUB is an important MERS-CoV interferon antagonist and virulence factor. Although the DUB-negative rMERS-CoVMA replicates robustly in the lungs of human dipeptidyl peptidase 4 knock-in (hDPP4 KI) mice, it does not cause clinical symptoms. Interestingly, a single intranasal vaccination with DUB-negative rMERS-CoVMA induces strong and sustained neutralizing antibody responses and sterilizing immunity after a lethal wt virus challenge. The survival of naïve animals also significantly increases when sera from animals vaccinated with the DUB-negative rMERS-CoVMA are passively transferred, prior to receiving a lethal virus dose. These data demonstrate that DUB-negative coronaviruses could be the basis of effective modified live attenuated vaccines.

Viral enrichment by probe hybridization has been reported to significantly increase the sensitivity of viral metagenomics. This study compares the analytical performance of two targeted metagenomic virus capture probe-based methods: i) SeqCap EZ HyperCap by Roche (ViroCap) and ii) Twist Comprehensive Viral Research Panel workflow, for diagnostic use. Sensitivity, specificity, limit of detection, and effect of human background DNA were analysed, using synthetic viral sequences, clinical and reference samples with known viral loads. Sensitivity and specificity were 95% and higher for both methods. Combining thresholds for viral sequence read counts and genome coverage (respectively 500 reads per million and 10% coverage) resulted in optimal prediction of true positive results. Limits of detection were approximately 50-500 copies/ml for both methods. Increasing proportions of spike-in cell free human background sequences did not negatively affect viral detection. These data show analytical performances in ranges applicable to clinical samples, for both probe hybridization metagenomic approaches. This study supports further steps towards more widespread use of viral metagenomics for pathogen detection, in clinical and surveillance settings using low biomass samples.

Abstract Adeno-associated virus 2 (AAV2) has recently been epidemiologically associated with severe childhood hepatitis, however the pathogenesis remains unclear. Here, we report excessive activation of monocyte pathways in liver explant tissue from cases compared with paediatric controls. Remarkably, this signature was indistinguishable for AAV2 positive and negative transplant cases. Our findings suggest a common pathway triggered by different viruses circulating during the outbreak, with similar severe clinical outcome.

The transformer neural architecture has become a cornerstone of natural language processing (NLP) models. It is a powerful tool for language understanding and generation, enabling machines to process human language that is close to human understanding. NLP has significantly improved in recent years due to pro-gress in artificial intelligence (AI). One of the key developments that has enabled these improvements is the transformer neural network architecture. In this paper, I will explore the transformer architecture, its main concepts, and its application in NLP.

Clostridioides difficile infection (CDI) remains a significant healthcare burden. Non-toxigenic C. difficile (NTCD) strains have shown a benefit in preventing porcine enteritis and in human recurrent CDI. In this study, we evaluated the efficacy of metronidazole-resistant NTCD-E4 in preventing CDI facilitated by a range of antimicrobials in an in vitro human gut model. NTCD-E4 spores (at a dose of 107) were instilled 7 days before a clinical ribotype (RT) 027 (at the same dose) strain (210). In separate experiments, four different antimicrobials were used to perturb gut microbiotas; bacterial populations and cytotoxin production were determined using viable counting and Vero cell cytotoxicity, respectively. RT027 and NTCD-E4 proliferated in the in vitro model when inoculated singly, with RT027 demonstrating high-level cytotoxin (3-5-log10-relative units) production. In experiments where the gut model was pre-inoculated with NTCD-E4, RT027 was remained quiescent and failed to produce cytotoxins. NTCD-E4 showed mutations in hsmA and a gene homologous to CD196-1331, previously linked to medium-dependent metronidazole resistance, but lacked other metronidazole resistance determinants. This study showed that RT027 was unable to elicit simulated infection in the presence of NTCD-E4 following stimulation by four different antimicrobials. These data complement animal and clinical studies in suggesting NTCD offer prophylactic potential in the management of human CDI.

Rapid identification of the rise and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern remains critical for monitoring of the efficacy of diagnostics, therapeutics, vaccines, and control strategies. A wide range of SARS-CoV-2 next-generation sequencing (NGS) methods have been developed over the last years, but cross-sequence technology benchmarking studies have been scarce. In the current study, 26 clinical samples were sequenced using five protocols: AmpliSeq SARS-CoV-2 (Illumina), EasySeq RC-PCR SARS-CoV-2 (Illumina/NimaGen), Ion AmpliSeq SARS-CoV-2 (Thermo Fisher), custom primer sets (Oxford Nanopore Technologies (ONT)), and capture probe-based viral metagenomics (Roche/Illumina). Studied parameters included genome coverage, depth of coverage, amplicon distribution, and variant calling. The median SARS-CoV-2 genome coverage of samples with cycle threshold (Ct) values of 30 and lower ranged from 81.6 to 99.8% for, respectively, the ONT protocol and Illumina AmpliSeq protocol. Correlation of coverage with PCR Ct values varied per protocol. Amplicon distribution signatures differed across the methods, with peak differences of up to 4 log 10 at disbalanced positions in samples with high viral loads (Ct values ≤ 23). Phylogenetic analyses of consensus sequences showed clustering independent of the workflow used. The proportion of SARS-CoV-2 reads in relation to background sequences, as a (cost-)efficiency metric, was the highest for the EasySeq protocol. The hands-on time was the lowest when using EasySeq and ONT protocols, with the latter additionally having the shortest sequence runtime. In conclusion, the studied protocols differed on a variety of the studied metrics. This study provides data that assist laboratories when selecting protocols for their specific setting.

Abstract Adeno-associated virus 2 (AAV2) has recently been epidemiologically associated with severe childhood hepatitis, however the pathogenesis remains unclear. Here, we report excessive activation of monocyte pathways in liver explant tissue from cases compared with paediatric controls. Remarkably, this signature was indistinguishable for AAV2 positive and negative transplant cases. Our findings suggest a common pathway triggered by different viruses circulating during the outbreak, with similar severe clinical outcome.

Viral metagenomics is increasingly applied in clinical diagnostic settings for detection of pathogenic viruses. While several benchmarking studies have been published on the use of metagenomic classifiers for abundance and diversity profiling of bacterial populations, studies on the comparative performance of the classifiers for virus pathogen detection are scarce. In this study, metagenomic data sets (n = 88) from a clinical cohort of patients with respiratory complaints were used for comparison of the performance of five taxonomic classifiers: Centrifuge, Clark, Kaiju, Kraken2, and Genome Detective. A total of 1144 positive and negative PCR results for a total of 13 respiratory viruses were used as gold standard. Sensitivity and specificity of these classifiers ranged from 83 to 100% and 90 to 99%, respectively, and was dependent on the classification level and data pre-processing. Exclusion of human reads generally resulted in increased specificity. Normalization of read counts for genome length resulted in a minor effect on overall performance, however it negatively affected the detection of targets with read counts around detection level. Correlation of sequence read counts with PCR Ct-values varied per classifier, data pre-processing (R2 range 15.1-63.4%), and per virus, with outliers up to 3 log10 reads magnitude beyond the predicted read count for viruses with high sequence diversity. In this benchmarking study, sensitivity and specificity were within the ranges of use for diagnostic practice when the cut-off for defining a positive result was considered per classifier.

The Zika virus (ZIKV) disease caused a public health emergency of international concern that started in February 2016. The overall number of ZIKV-related cases increased until November 2016, after which it declined sharply. While the evaluation of the potential risk and impact of future arbovirus epidemics remains challenging, intensified surveillance efforts along with a scale-up of ZIKV whole-genome sequencing provide an opportunity to understand the patterns of genetic diversity, evolution, and spread of ZIKV. However, a classification system that reflects the true extent of ZIKV genetic variation is lacking. Our objective was to characterize ZIKV genetic diversity and phylodynamics, identify genomic footprints of differentiation patterns, and propose a dynamic classification system that reflects its divergence levels. We analysed a curated dataset of 762 publicly available sequences spanning the full-length coding region of ZIKV from across its geographical span and collected between 1947 and 2021. The definition of genetic groups was based on comprehensive evolutionary dynamics analyses, which included recombination and phylogenetic analyses, within- and between-group pairwise genetic distances comparison, detection of selective pressure, and clustering analyses. Evidence for potential recombination events was detected in a few sequences. However, we argue that these events are likely due to sequencing errors as proposed in previous studies. There was evidence of strong purifying selection, widespread across the genome, as also detected for other arboviruses. A total of 50 sites showed evidence of positive selection, and for a few of these sites, there was amino acid (AA) differentiation between genetic clusters. Two main genetic clusters were defined, ZA and ZB, which correspond to the already characterized 'African' and 'Asian' genotypes, respectively. Within ZB, two subgroups, ZB.1 and ZB.2, represent the Asiatic and the American (and Oceania) lineages, respectively. ZB.1 is further subdivided into ZB.1.0 (a basal Malaysia sequence sampled in the 1960s and a recent Indian sequence), ZB.1.1 (South-Eastern Asia, Southern Asia, and Micronesia sequences), and ZB.1.2 (very similar sequences from the outbreak in Singapore). ZB.2 is subdivided into ZB.2.0 (basal American sequences and the sequences from French Polynesia, the putative origin of South America introduction), ZB.2.1 (Central America), and ZB.2.2 (Caribbean and North America). This classification system does not use geographical references and is flexible to accommodate potential future lineages. It will be a helpful tool for studies that involve analyses of ZIKV genomic variation and its association with pathogenicity and serve as a starting point for the public health surveillance and response to on-going and future epidemics and to outbreaks that lead to the emergence of new variants.

Background The prevalence rate of сommon variable immunodeficiency (CVID), the most common symptomatic form of primary immunodeficiency disease (PID), is growing every year. In the Republican Register of PID in the Chuvash Republic (Russia) there are 32 patients with CVID, 5 (15.6%) of whom have CVID combined with an autoimmune disease - rheumatoid arthritis (RA). The immunological studies occupy a large place in the diagnosis of PID and autoimmune diseases. Objectives The aim of the study was to search for immunological criteria for the differentiation of RA from CVID combined with RA. Methods The object of the study were 2 groups of patients. Group 1 consisted of 20 RA patients; group 2 consisted of 5 patients with CVID in combination with RA. Patients with CVID, who had the results of an immunological study conducted before the appointment of immunoglobulin replacement therapy, were selected for this study. The control group consisted of 20 practically healthy people. Results The significant changes were revealed in the concentration of serum immunoglobulins in the studied groups of patients, in particular, a sharp decrease in IgG levels in group 2 (1.9±0.3 g/l vs. 15.2±2.3 in group 1, p<0.001), IgA (0.1±0.02 g/l vs. 3.1±0.7 g/l in group 1, p<0.001), IgM (0.2±0.03 g/l vs. 1.7±0.2 g/l in group 1, p<0.001). Immunoglobulin levels in both groups of patients were lower (p<0.001) compared to the control group. In both groups, the number of regulatory cells – Treg (CD4+CD25+FoxP3) was reduced: in group 1 - to 2.5±0.03%; in group 2 - to 2.3± 0.02%, while in the control group it was 4.2± 0.5%, p<0.001. The result of our study confirms that the development of RA and CVID is associated with the decrease in the number of Treg cells responsible for ensuring peripheral tolerance and preventing the development of autoimmune diseases. Conclusion CVID and RA have a common immunopathological sign - a decrease in the content of Treg cells in the blood. In the differential diagnosis between RA and CVID, combined with RA, it is necessary to rely on the results of the determination of immunoglobulins in the blood serum. Disclosure of Interests None declared

Virus-specific cellular and humoral responses are major determinants for protection from critical illness after SARS-CoV-2 infection. However, the magnitude of the contribution of each of the components to viral clearance remains unclear. Here, we studied the timing of viral clearance in relation to 122 immune parameters in 102 hospitalised patients with moderate and severe COVID-19 in a longitudinal design. Delayed viral clearance was associated with more severe disease and was associated with higher levels of SARS-CoV-2-specific (neutralising) antibodies over time, increased numbers of neutrophils, monocytes, basophils, and a range of pro-inflammatory cyto-/chemokines illustrating ongoing, partially Th2 dominating, immune activation. In contrast, early viral clearance and less critical illness correlated with the peak of neutralising antibodies, higher levels of CD4 T cells, and in particular naïve CD4+ T cells, suggesting their role in early control of SARS-CoV-2 possibly by proving appropriate B cell help. Higher counts of naïve CD4+ T cells also correlated with lower levels of MIF, IL-9, and TNF-beta, suggesting an indirect role in averting prolonged virus-induced tissue damage. Collectively, our data show that naïve CD4+ T cell play a critical role in rapid viral T cell control, obviating aberrant antibody and cytokine profiles and disease deterioration. These data may help in guiding risk stratification for severe COVID-19.

Introduction: Immunocompromised patients are prone to reactivations and (re-)infections of multiple DNA viruses. Viral load monitoring by single-target quantitative PCRs (qPCR) is the current cornerstone for virus quantification. In this study, a metagenomic next-generation sequencing (mNGS) approach was used for the identification and load monitoring of transplantation-related DNA viruses. Methods: Longitudinal plasma samples from six patients that were qPCR-positive for cytomegalovirus (CMV), Epstein-Barr virus (EBV), BK polyomavirus (BKV), adenovirus (ADV), parvovirus B19 (B19V), and torque teno-virus (TTV) were sequenced using the quantitative metagenomic Galileo Viral Panel Solution (Arc Bio, LLC, Cambridge, MA, USA) reagents and bioinformatics pipeline combination. Qualitative and quantitative performance was analysed with a focus on viral load ranges relevant for clinical decision making. Results: All pathogens identified by qPCR were also identified by mNGS. BKV, CMV, and HHV6B were additionally detected by mNGS, and could be confirmed by qPCR or auxiliary bioinformatic analysis. Viral loads determined by mNGS correlated with the qPCR results, with inter-method differences in viral load per virus ranging from 0.19 log10 IU/mL for EBV to 0.90 log10 copies/mL for ADV. TTV, analysed by mNGS in a semi-quantitative way, demonstrated a mean difference of 3.0 log10 copies/mL. Trends over time in viral load determined by mNGS and qPCR were comparable, and clinical thresholds for initiation of treatment were equally identified by mNGS. Conclusions: The Galileo Viral Panel for quantitative mNGS performed comparably to qPCR concerning detection and viral load determination, within clinically relevant ranges of patient management algorithms.

Metagenomic next-generation sequencing (mNGS) is an untargeted technique for determination of microbial DNA/RNA sequences in a variety of sample types from patients with infectious syndromes. mNGS is still in its early stages of broader translation into clinical applications. To further support the development, implementation, optimization and standardization of mNGS procedures for virus diagnostics, the European Society for Clinical Virology (ESCV) Network on Next-Generation Sequencing (ENNGS) has been established. The aim of ENNGS is to bring together professionals involved in mNGS for viral diagnostics to share methodologies and experiences, and to develop application guidelines. Following the ENNGS publication Recommendations for the introduction of mNGS in clinical virology, part I: wet lab procedure in this journal, the current manuscript aims to provide practical recommendations for the bioinformatic analysis of mNGS data and reporting of results to clinicians.

In recent years, primary immunodeficiencies have turned from the class of rare diseases to the category of more common disorders which may be encountered by doctors of any clinical discipline. The first case of primary immunodeficiency disorder (PID) in Chuvashia was detected in 1993. Since that time, the Department of Internal Diseases with the Course of Clinical Immunology at the I. Ulyanov Chuvash State University registered all the cases of PID diagnosed in the region, introducing them into the Republican Registry of PID. The study was aimed for searching epidemiological indexes, clinical and laboratory manifestations of PID in Chuvash region. The study was based on the patient data obtained by retrospective analysis of 85 case histories of PID patients, treated at different departments of the Republican Clinical Hospital, and the City Chuvash Pediatric Clinical Hospital of Public Health Ministry in 2000-2019, as well as on 49 outpatient records of the patients included into the Regional PID Registry. Various forms of PIDs were diagnosed according to the criteria developed by the European Society for Immunodeficiency and the Pan-American Group on Immunodeficiency (1999). The results of this study showed that the incidence of PID in the Chuivash Region is 3.4:100,000. The incidence of common variable immune deficiency (CVID), the most common form of PID in the region, was 1.58 per 100,000 population. The average age at the time of CVID diagnosis in Chuvash patients was 30.4±16.1 years, and the age of CVID debut was 11.3±15.0 years. The delay in proper diagnosis from the moment of clinical manifestation of CVID was, on average, 17.9 years in the region. At the time of CVID diagnosis, the patients showed marked decrease in the levels of 3 or 2 immunoglobulin classes (IgG and IgA), and T-helper cell contents (CD3+CD4+) in peripheral blood. Prevalence of selective IgA deficiency with сlinical symptoms was 0.83 per 100,000 population of the region, and the incidence of the asymptomatic form of this PID was 1 : 167. In patients with selective IgA deficiency, there were also disorders in the T cell system manifesting as decreased relative number of cytotoxic T-cells as well as elevated IgG and IgM levels. The age of diagnosis of X-linked agammaglobulinemia in the region was 3.5±3.0 years. In addition to disturbances of humoral adaptive immunity in children with this disease, a decrease in absolute T cell numbers was detected. In conclusion, the article describes disturbances of postvaccinal immunity in a pregnant patient with CVID, with asymptomatic clinical course, thus leading to false interpretation of the serological markers of TORCH infections and wrong strategy of pregnancy management.

Background: Until recently, metronidazole was the first-Line treatment for Clostridioides difficile infection and it is still commonly used. Though resistance has been reported due to the plasmid pCD-METRO, this does not explain all cases. Objectives: To identify factors that contribute to plasmid-independent metronidazole resistance of C. difficile. Methods: Here, we investigate resistance to metronidazole in a collection of clinical isolates of C. difficile using a combination of antimicrobial susceptibility testing on different solid agar media and WGS of selected isolates. Results: We find that nearly all isolates demonstrate a haem-dependent increase in the MIC of metronidazole, which in some cases Leads to isolates qualifying as resistant (MIC >2 mg/L). Moreover, we find an SNP in the haem-responsive gene hsmA, which defines a metronidazole-resistant Lineage of PCR ribotype 010/MLST ST15 isolates that also includes pCD-METRO-containing strains. Conclusions: Our data demonstrate that haem is crucial for medium-dependent metronidazole resistance in C. difficile.