bioRxiv Science⌕ Search

Biology subjects

Pogrebnyakov, I.

Publications and source records attributed to Pogrebnyakov, I..

3 recordsLinked to original sources

Macrolide resistance through uL4 and uL22 ribosomal mutations in Pseudomonas aeruginosa

Macrolides are widely used antibiotics for the treatment of bacterial airway infections. Due to its elevated minimum inhibitory concentration in standardized culture media, Pseudomonas aeruginosa is considered intrinsically resistant and, therefore, antibiotic susceptibility testing against macrolides is not performed. Nevertheless, due to macrolides immunomodulatory effect and suppression of virulence factors, they are used for the treatment of persistent P. aeruginosa infections. Here, we demonstrate that macrolides are, instead, effective antibiotics against P. aeruginosa airway infections in an air-liquid interface (ALI) infection model system resembling the human airways. Importantly, macrolide treatment in both people with cystic fibrosis and primary ciliary dyskinesia patients leads to the accumulation of uL4 and uL22 ribosomal protein mutations in P. aeruginosa which causes antibiotic resistance. Consequently, higher concentrations of antibiotics are needed to modulate the macrolide-dependent suppression of virulence. Surprisingly, even in the absence of antibiotics, these mutations also lead to a collateral reduction in growth rate, virulence and pathogenicity in airway ALI infections which are pivotal for the establishment of a persistent infection. Altogether, these results lend further support to the consideration of macrolides as de facto antibiotics against P. aeruginosa and the need for resistance monitoring upon prolonged macrolide treatment.

microbiology↗

Metabolic specialization drives reduced pathogenicity in Pseudomonas aeruginosa CF clinical isolates

Metabolism provides the foundation for all cellular functions. During persistent infections, in adapted pathogenic bacteria metabolism functions radically differently compared with more naive strains. Whether this is simply a necessary accommodation to the persistence phenotype or if metabolism plays a direct role in achieving persistence in the host is still unclear. Here, we characterize a convergent shift in metabolic function(s) linked with the persistence phenotype during Pseudomonas aeruginosa colonization in the airways of people with cystic fibrosis. We show that clinically-relevant mutations in the key metabolic enzyme, pyruvate dehydrogenase, lead to a host-specialized metabolism together with a lower virulence and immune response recruitment. These changes in infection phenotype are mediated by impaired type III secretion system activity and by secretion of the antioxidant metabolite, pyruvate, respectively. Our results show how metabolic adaptations directly impinge on persistence and pathogenicity in this organism.

microbiology↗

From empirical to data-driven host selection: a broad-host-range expression platform to facilitate chassis screening

Nature has provided a vast landscape of organisms through evolution, each with unique phenotypic traits adapted to varying environments. Nevertheless, host selection in biotechnological research is exceedingly dominated by empirical preference, where the endogenous physiology of the selected host is often not suited to the desired application. Considering that large parts of cellular regulation and metabolism remain obscure, empirical selection of a preferred model organism may lead to undue caveats in further engineering attempts, arising from intrinsic metabolism. One reason for the empirical host selection is the lack of engineering tools for screening novel organisms. In this study, we provide a modular, single vector-based expression platform, compatible with a wide range of prokaryotes. It centers around a tight and titratable promoter system, inducible by anhydrotetracyclin within an 84-fold dynamic range. It enables easy screening of recombinant proteins and pathways in both mesophilic and thermophilic Gram-negative and Gram-positive hosts. Overall, this platform enables simple screening of heterologous expression and production in a variety of hosts, including the exploration of previously unconsidered hosts thereby aiding the transition from empirical to data-driven host selection.

synthetic biology↗