Phage-antibiotic combinations against Klebsiella pneumoniae: impact of methodological approaches on effect evaluation DOI Creative Commons
RB Gorodnichev, Anastasiia O. Krivulia, Maria Kornienko

и другие.

Frontiers in Microbiology, Год журнала: 2025, Номер 16

Опубликована: Март 12, 2025

Background The combined use of bacteriophages and antibiotics represents a promising strategy for combating multidrug-resistant bacterial pathogens. However, the lack uniformity in methods assessing combination effects experimental protocols has resulted inconsistent findings across studies. This study aimed to evaluate interactions between phages on Klebsiella pneumoniae strains using various statistical approaches formalize effects. Methods Effects were assessed four from distinct classes (gentamicin, levofloxacin, meropenem, chloramphenicol), three different genera (Dlv622, Seu621, FRZ284), depolymerase (Dep622) K. KL23 capsule type. Antibiotics used at C max concentrations, sublethal levels. A modified t -test, Bliss independence model, two-way ANOVA, checkerboard assay employed results. Results Among 48 combinations, 33 statistically significant, including 26 cases synergy 7 antagonism. All showed consistency identifying effects; however, -test method detected greater number strongest was observed with levofloxacin Seu621 or Dep622 all strains. Checkerboard assays confirmed selected but indicated that could vary antimicrobial concentrations. Conclusion choice analytical substantially impacts detection phage-antibiotic method, due their simplicity sensitivity, may be optimal clinical application, while ANOVA confirming strong interactions. These results emphasize need consider interaction characteristics when designing therapeutic strategies.

Язык: Английский

tesG expression as a potential clinical biomarker for chronic Pseudomonas aeruginosa pulmonary biofilm infections DOI Creative Commons
Dhammika Leshan Wannigama, Cameron Hurst, Peter N. Monk

и другие.

BMC Medicine, Год журнала: 2025, Номер 23(1)

Опубликована: Март 31, 2025

Pseudomonas aeruginosa infections in the lungs affect millions of children and adults worldwide. To our knowledge, no clinically validated prognostic biomarkers for chronic pulmonary P. exist. Therefore, this study aims to identify potential markers biofilm lung infections. Here, we screened expression 11 regulatory genes (tesG, algD, lasR, lasA, lasB, pelB, phzF, rhlA, rsmY, rsmZ, sagS) associations between clinical status infection. RNA was extracted from 210 sputum samples patients (n = 70) with (mean age; 29.3–56.2 years; 33 female). Strong formation correlated prolonged hospital stays (212.2 days vs. 44.4 days) increased mortality (46.2% (18)). is associated tesG (P 0.001), influencing extended intensive care unit 0.002) or hospitalisation pneumonia risk 0.006), 0.001). Notably, linked modulation systemic inflammatory responses predicts biomass. This provides first dataset levels as a predictive biomarker

Язык: Английский

Процитировано

0
Healthcare-Associated Infections: The Role of Microbial and Environmental Factors in Infection Control—A Narrative Review DOI Creative Commons
A Sandu, Mariana Carmen Chifiriuc, Corneliu Ovidiu Vrâncianu

и другие.

Infectious Diseases and Therapy, Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

Язык: Английский

Процитировано

0
Phage-antibiotic combinations against Klebsiella pneumoniae: impact of methodological approaches on effect evaluation DOI Creative Commons
RB Gorodnichev, Anastasiia O. Krivulia, Maria Kornienko

и другие.

Frontiers in Microbiology, Год журнала: 2025, Номер 16

Опубликована: Март 12, 2025

Background The combined use of bacteriophages and antibiotics represents a promising strategy for combating multidrug-resistant bacterial pathogens. However, the lack uniformity in methods assessing combination effects experimental protocols has resulted inconsistent findings across studies. This study aimed to evaluate interactions between phages on Klebsiella pneumoniae strains using various statistical approaches formalize effects. Methods Effects were assessed four from distinct classes (gentamicin, levofloxacin, meropenem, chloramphenicol), three different genera (Dlv622, Seu621, FRZ284), depolymerase (Dep622) K. KL23 capsule type. Antibiotics used at C max concentrations, sublethal levels. A modified t -test, Bliss independence model, two-way ANOVA, checkerboard assay employed results. Results Among 48 combinations, 33 statistically significant, including 26 cases synergy 7 antagonism. All showed consistency identifying effects; however, -test method detected greater number strongest was observed with levofloxacin Seu621 or Dep622 all strains. Checkerboard assays confirmed selected but indicated that could vary antimicrobial concentrations. Conclusion choice analytical substantially impacts detection phage-antibiotic method, due their simplicity sensitivity, may be optimal clinical application, while ANOVA confirming strong interactions. These results emphasize need consider interaction characteristics when designing therapeutic strategies.

Язык: Английский

Процитировано

0