Discrimination between hypervirulent and non-hypervirulent ribotypes of Clostridioides difficile by MALDI-TOF mass spectrometry and machine learning.

Hypervirulent ribotypes (HVRTs) of Clostridioides difficile such as ribotype (RT) 027 are epidemiologically important. This study evaluated whether MALDI-TOF can distinguish between strains of HVRTs and non-HVRTs commonly found in Europe. Obtained spectra of clinical C. difficile isolates (training set, 157 isolates) covering epidemiologically relevant HVRTs and non-HVRTs found in Europe were used as an input for different machine learning (ML) models. Another 83 isolates were used as a validation set. Direct comparison of MALDI-TOF spectra obtained from HVRTs and non-HVRTs did not allow to discriminate between these two groups, while using these spectra with certain ML models could differentiate HVRTs from non-HVRTs with an accuracy >95% and allowed for a sub-clustering of three HVRT subgroups (RT027/RT176, RT023, RT045/078/126/127). MALDI-TOF combined with ML represents a reliable tool for rapid identification of major European HVRTs.

Implementation of a Clostridioides difficile sentinel surveillance system in Germany: First insights for 2019-2021.

OBJECTIVES: Clostridioides difficile is a major cause of nosocomial diarrhea. Several "hypervirulent" lineages such as ribotype 027 (RT027) and RT078 are of high epidemiological importance, leading to outbreaks and more severe courses of disease. An active surveillance system targeting molecular epidemiology and corresponding antimicrobial resistance has not been established in Germany. METHODS: Since October 2019, University Hospitals throughout Germany collected by two dates every year (1st April and October, respectively) their first ten unselected samples being tested positive for C. difficile. RESULTS: Out of 1026 samples received from 29 sites, 876 toxigenic C. difficile strains could be cultivated. PCR ribotyping of these strains revealed a large strain diversity with RT014 (17.5%) dominating, followed by isolates of the major nosocomial lineage RT001 (7.1%) and the "hypervirulent" lineage RT078 (5.9%). Notably, prevalence of RT027 was low with ∼3.5% at all time points analyzed, while the abundance of RT001 isolates significantly declined from 12.3% to 3.7% during the sampling period (P < 0.001). Antimicrobial resistance against clarithromycin, moxifloxacin, and rifampicin was detected in 18%, 15%, and 4% of the tested isolates, respectively. Highest resistance rates were found among RT027 isolates (83%, 87% and 63% for clarithromycin, moxifloxacin, and rifampicin, respectively). Vancomycin resistance was not detected, and metronidazole resistance was observed only for a single RT027 isolate. CONCLUSIONS: This Germany-wide continuing surveillance effort with a standardized mode of isolate acquisition indicates that isolates of RT027 were only sporadically detected under these strain acquisition conditions, and RT001 seems to become less important in the hospital setting, being replaced by other RTs.

Molecular epidemiology and antimicrobial resistance of Clostridioides difficile in Germany, 2014-2019.

Clostridioides difficile is a Gram positive spore-forming rod and mainly responsible for nosocomial diarrhea in developed nations. Molecular and antimicrobial surveillance is important for monitoring the strain composition including genotypes of high epidemiological importance such as ribotype 027 (RT027) and corresponding resistance patterns. 1535 isolates obtained from samples sent between 2014 and 2019 to the German National Reference Center (NRC) for diagnostic reasons (NRC strain set), and 1143 isolates from a Tertiary Care University Center in Saarland, Germany (non-NRC strain set), were evaluated using antibiotic susceptibility testing and ribotyping. In the NRC strain set, RT027 overtook RT001, the main RT found in the preceding studies, and dominated with 36.2%, followed by RT001 (13.3%), and RT014 (8.5%). Of note, since 2016 a constant decrease of RT027 could be noticed. In the non-NRC strain set a large strain diversity was present with RT014 (18%) and RT001 (8.9%) being most prevalent. In NRC samples, resistance towards metronidazole, vancomycin, moxifloxacin, clarithromycin and rifampicin was 2.7%, 0%, 57.1%, 53.2% and 19.2%, respectively. Metronidazole resistance was almost exclusively found in RT027 isolates. Rifampicin resistance was also observed predominantly in isolates of RT027, constituting an almost four-fold increase, when compared to preceeding studies in this region. In conclusion these data demonstrate that RT027 is a driver for rifampicin and metronidazole resistance, underlining the importance of continuous surveillance efforts.

The Phosphoarginine Phosphatase PtpB from Staphylococcus aureus Is Involved in Bacterial Stress Adaptation during Infection.

Staphylococcus aureus continues to be a public health threat, especially in hospital settings. Studies aimed at deciphering the molecular and cellular mechanisms that underlie pathogenesis, host adaptation, and virulence are required to develop effective treatment strategies. Numerous host-pathogen interactions were found to be dependent on phosphatases-mediated regulation. This study focused on the analysis of the role of the low-molecular weight phosphatase PtpB, in particular, during infection. Deletion of ptpB in S. aureus strain SA564 significantly reduced the capacity of the mutant to withstand intracellular killing by THP-1 macrophages. When injected into normoglycemic C57BL/6 mice, the SA564 ΔptpB mutant displayed markedly reduced bacterial loads in liver and kidney tissues in a murine S. aureus abscess model when compared to the wild type. We also observed that PtpB phosphatase-activity was sensitive to oxidative stress. Our quantitative transcript analyses revealed that PtpB affects the transcription of various genes involved in oxidative stress adaptation and infectivity. Thus, this study disclosed first insights into the physiological role of PtpB during host interaction allowing us to link phosphatase-dependent regulation to oxidative bacterial stress adaptation during infection.