Unravelling the collateral damage of antibiotics on gut bacteria.

Antibiotics are used to fight pathogens but also target commensal bacteria, disturbing the composition of gut microbiota and causing dysbiosis and disease1. Despite this well-known collateral damage, the activity spectrum of different antibiotic classes on gut bacteria remains poorly characterized. Here we characterize further 144 antibiotics from a previous screen of more than 1,000 drugs on 38 representative human gut microbiome species2. Antibiotic classes exhibited distinct inhibition spectra, including generation dependence for quinolones and phylogeny independence for ß-lactams. Macrolides and tetracyclines, both prototypic bacteriostatic protein synthesis inhibitors, inhibited nearly all commensals tested but also killed several species. Killed bacteria were more readily eliminated from in vitro communities than those inhibited. This species-specific killing activity challenges the long-standing distinction between bactericidal and bacteriostatic antibiotic classes and provides a possible explanation for the strong effect of macrolides on animal3-5 and human6,7 gut microbiomes. To mitigate this collateral damage of macrolides and tetracyclines, we screened for drugs that specifically antagonized the antibiotic activity against abundant Bacteroides species but not against relevant pathogens. Such antidotes selectively protected Bacteroides species from erythromycin treatment in human-stool-derived communities and gnotobiotic mice. These findings illluminate the activity spectra of antibiotics in commensal bacteria and suggest strategies to circumvent their adverse effects on the gut microbiota.

Emergence of OXA-48-like producing Citrobacter species, Germany, 2011 to 2022.

BackgroundCarbapenemase-producing Enterobacterales are a public health threat worldwide and OXA-48 is the most prevalent carbapenemase in Germany and western Europe. However, the molecular epidemiology of OXA-48 in species other than Escherichia coli and Klebsiella pneumoniae remains poorly understood.AimTo analyse the molecular epidemiology of OXA-48 and OXA-48-like carbapenemases in Citrobacter species (spp.) in Germany between 2011 and 2022.MethodsData of 26,822 Enterobacterales isolates sent to the National Reference Centre (NRC) for Gram-negative bacteria were evaluated. Ninety-one Citrobacter isolates from 40 German hospitals harbouring bla OXA-48/OXA-48­like were analysed by whole genome sequencing and conjugation experiments.ResultsThe frequency of OXA-48 in Citrobacter freundii (CF) has increased steadily since 2011 and is now the most prevalent carbapenemase in this species in Germany. Among 91 in-depth analysed Citrobacter spp. isolates, CF (n = 73) and C. koseri (n = 8) were the most common species and OXA-48 was the most common variant (n = 77), followed by OXA-162 (n = 11) and OXA­181 (n = 3). Forty percent of the isolates belonged to only two sequence types (ST19 and ST22), while most other STs were singletons. The plasmids harbouring bla OXA­48 and bla OXA-162 belonged to the plasmid types IncL (n = 85) or IncF (n = 3), and plasmids harbouring bla OXA­181 to IncX3 (n = 3). Three IncL plasmid clusters (57/85 IncL plasmids) were identified, which were highly transferable in contrast to sporadic plasmids.ConclusionIn CF in Germany, OXA-48 is the predominant carbapenemase. Dissemination is likely due to distinct highly transmissible plasmids harbouring bla OXA­48 or bla OXA-48-like and the spread of the high-risk clonal lineages ST19 and ST22.

Systematic analysis of drug combinations against Gram-positive bacteria.

Drug combinations can expand options for antibacterial therapies but have not been systematically tested in Gram-positive species. We profiled ~8,000 combinations of 65 antibacterial drugs against the model species Bacillus subtilis and two prominent pathogens, Staphylococcus aureus and Streptococcus pneumoniae. Thereby, we recapitulated previously known drug interactions, but also identified ten times more novel interactions in the pathogen S. aureus, including 150 synergies. We showed that two synergies were equally effective against multidrug-resistant S. aureus clinical isolates in vitro and in vivo. Interactions were largely species-specific and synergies were distinct from those of Gram-negative species, owing to cell surface and drug uptake differences. We also tested 2,728 combinations of 44 commonly prescribed non-antibiotic drugs with 62 drugs with antibacterial activity against S. aureus and identified numerous antagonisms that might compromise the efficacy of antimicrobial therapies. We identified even more synergies and showed that the anti-aggregant ticagrelor synergized with cationic antibiotics by modifying the surface charge of S. aureus. All data can be browsed in an interactive interface ( https://apps.embl.de/combact/ ).

Logical modeling of cell fate specification-Application to T cell commitment.

Boolean approaches and extensions thereof are becoming increasingly popular to model signaling and regulatory networks, including those controlling cell differentiation, pattern formation and embryonic development. Here, we describe a logical modeling framework relying on three steps: the delineation of a regulatory graph, the specification of multilevel components, and the encoding of Boolean rules specifying the behavior of model components depending on the levels or activities of their regulators. Referring to a non-deterministic, asynchronous updating scheme, we present several complementary methods and tools enabling the computation of stable activity patterns, the verification of the reachability of such patterns, as well as the generation of mean temporal evolution curves and the computation of the probabilities to reach distinct activity patterns. We apply this logical framework to the regulatory network controlling T lymphocyte specification. This process involves cross-regulations between specific T cell regulatory factors and factors driving alternative differentiation pathways, which remain accessible during the early steps of thymocyte development. Many transcription factors needed for T cell specification are required in other hematopoietic differentiation pathways and are combined in a fine-tuned, time-dependent fashion to achieve T cell commitment. Using the software GINsim, we integrated current knowledge into a dynamical model, which recapitulates the main developmental steps from early progenitors entering the thymus up to T cell commitment, as well as the impact of various documented environmental and genetic perturbations. Our model analysis further enabled the identification of several knowledge gaps. The model, software and whole analysis workflow are provided in computer-readable and executable form to ensure reproducibility and ease extensions.

Chemical genetics in drug discovery.

Chemical-genetic approaches are based on measuring the cellular outcome of combining genetic and chemical perturbations in large-numbers in tandem. In these approaches the contribution of every gene to the fitness of an organism is measured upon exposure to different chemicals. Current technological advances enable the application of chemical genetics to almost any organism and at an unprecedented throughput. Here we review the underlying concepts behind chemical genetics, present its different vignettes and illustrate how such approaches can propel drug discovery.