| 1. |
- Aranzana-Climent, Vincent, et al.
(författare)
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Translational in vitro and in vivo PKPD modelling for apramycin against Gram-negative lung pathogens to facilitate prediction of human efficacious dose in pneumonia
- 2022
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Ingår i: Clinical Microbiology and Infection. - : Elsevier B.V.. - 1198-743X .- 1469-0691. ; 28:10, s. 1367-1374
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: New drugs and methods to efficiently fight carbapenem-resistant gram-negative pathogens are sorely needed. In this study, we characterized the preclinical pharmacokinetics (PK) and pharmacodynamics of the clinical stage drug candidate apramycin in time kill and mouse lung infection models. Based on in vitro and in vivo data, we developed a mathematical model to predict human efficacy. Methods: Three pneumonia-inducing gram-negative species Acinetobacter baumannii, Pseudomonas aeruginosa, and Klebsiella pneumoniae were studied. Bactericidal kinetics were evaluated with time-kill curves; in vivo PK were studied in healthy and infected mice, with sampling in plasma and epithelial lining fluid after subcutaneous administration; in vivo efficacy was measured in a neutropenic mouse pneumonia model. A pharmacokinetic-pharmacodynamic model, integrating all the data, was developed and simulations were performed. Results: Good lung penetration of apramycin in epithelial lining fluid (ELF) was shown (area under the curve (AUC)ELF/AUCplasma = 88%). Plasma clearance was 48% lower in lung infected mice compared to healthy mice. For two out of five strains studied, a delay in growth (∼5 h) was observed in vivo but not in vitro. The mathematical model enabled integration of lung PK to drive mouse PK and pharmacodynamics. Simulations predicted that 30 mg/kg of apramycin once daily would result in bacteriostasis in patients. Discussion: Apramycin is a candidate for treatment of carbapenem-resistant gram-negative pneumonia as demonstrated in an integrated modeling framework for three bacterial species. We show that mathematical modelling is a useful tool for simultaneous inclusion of multiple data sources, notably plasma and lung in vivo PK and simulation of expected scenarios in a clinical setting, notably lung infections. © 2022 The Author(s)
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| 2. |
- Arrazuria, Rakel, et al.
(författare)
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Expert workshop summary : Advancing toward a standardized murine model to evaluate treatments for antimicrobial resistance lung infections
- 2022
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Ingår i: Frontiers in Microbiology. - : Frontiers Media S.A.. - 1664-302X. ; 13
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Tidskriftsartikel (refereegranskat)abstract
- The rise in antimicrobial resistance (AMR), and increase in treatment-refractory AMR infections, generates an urgent need to accelerate the discovery and development of novel anti-infectives. Preclinical animal models play a crucial role in assessing the efficacy of novel drugs, informing human dosing regimens and progressing drug candidates into the clinic. The Innovative Medicines Initiative-funded "Collaboration for prevention and treatment of MDR bacterial infections" (COMBINE) consortium is establishing a validated and globally harmonized preclinical model to increase reproducibility and more reliably translate results from animals to humans. Toward this goal, in April 2021, COMBINE organized the expert workshop "Advancing toward a standardized murine model to evaluate treatments for AMR lung infections". This workshop explored the conduct and interpretation of mouse infection models, with presentations on PK/PD and efficacy studies of small molecule antibiotics, combination treatments (beta -lactam/beta -lactamase inhibitor), bacteriophage therapy, monoclonal antibodies and iron sequestering molecules, with a focus on the major Gram-negative AMR respiratory pathogens Pseudomonas aeruginosa, Klebsiella pneumoniae and Acinetobacter baumannii. Here we summarize the factors of variability that we identified in murine lung infection models used for antimicrobial efficacy testing, as well as the workshop presentations, panel discussions and the survey results for the harmonization of key experimental parameters. The resulting recommendations for standard design parameters are presented in this document and will provide the basis for the development of a harmonized and bench-marked efficacy studies in preclinical murine pneumonia model.
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| 3. |
- Arrazuria, Rakel, et al.
(författare)
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Variability of murine bacterial pneumonia models used to evaluate antimicrobial agents
- 2022
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Ingår i: Frontiers in Microbiology. - : Frontiers Media S.A.. - 1664-302X. ; 13
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Forskningsöversikt (refereegranskat)abstract
- Antimicrobial resistance has become one of the greatest threats to human health, and new antibacterial treatments are urgently needed. As a tool to develop novel therapies, animal models are essential to bridge the gap between preclinical and clinical research. However, despite common usage of in vivo models that mimic clinical infection, translational challenges remain high. Standardization of in vivo models is deemed necessary to improve the robustness and reproducibility of preclinical studies and thus translational research. The European Innovative Medicines Initiative (IMI)-funded "Collaboration for prevention and treatment of MDR bacterial infections" (COMBINE) consortium, aims to develop a standardized, quality-controlled murine pneumonia model for preclinical efficacy testing of novel anti-infective candidates and to improve tools for the translation of preclinical data to the clinic. In this review of murine pneumonia model data published in the last 10 years, we present our findings of considerable variability in the protocols employed for testing the efficacy of antimicrobial compounds using this in vivo model. Based on specific inclusion criteria, fifty-three studies focusing on antimicrobial assessment against Pseudomonas aeruginosa, Klebsiella pneumoniae and Acinetobacter baumannii were reviewed in detail. The data revealed marked differences in the experimental design of the murine pneumonia models employed in the literature. Notably, several differences were observed in variables that are expected to impact the obtained results, such as the immune status of the animals, the age, infection route and sample processing, highlighting the necessity of a standardized model.
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| 4. |
- Holmdahl, Rikard, et al.
(författare)
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Genetic control of arthritis in rats
- 2000
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Ingår i: Journal of Experimental Animal Science. - 0939-8600. ; 41, s. 7-13
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Tidskriftsartikel (refereegranskat)
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| 5. |
- Nordquist, Niklas, et al.
(författare)
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A genetic linkage map of the rat
- 1999
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Ingår i: Rat genome. - 1081-4205. ; 15, s. 15-20
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Tidskriftsartikel (refereegranskat)
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| 6. |
- Olliver, Marie, et al.
(författare)
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ENABLE : an engine for European antibacterial drug discovery and development
- 2021
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Ingår i: Nature reviews. Drug discovery. - : Springer Nature. - 1474-1776 .- 1474-1784. ; 20:6, s. 407-408
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- ENABLE is an antibacterial drug discovery and development consortium formed as a publicprivate partnership in 2014 as part of the Innovative Medicines Initiative (IMI) New Drugs for Bad Bugs (ND4BB) programme. With the project soon ending, here we provide a brief overview and reflect on its achievements, strengths and weaknesses.
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| 7. |
- Olofsson, Peter, et al.
(författare)
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Genetic links between the acute-phase response and arthritis development in rats.
- 2002
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Ingår i: Arthritis and Rheumatism. - 1529-0131 .- 0004-3591. ; 46:1, s. 259-268
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: The acute-phase inflammatory response is closely correlated with the development of rheumatoid arthritis, but the pathophysiologic role of its specific components is largely unknown. We investigated the genetic control of the acute-phase protein response in pristane-induced arthritis (PIA), which is a chronic erosive arthritis model in rats. METHODS: Plasma levels of the acute-phase proteins interleukin-6 (IL-6), alpha1-acid glycoprotein (orosomucoid), fibrinogen, and alpha1-inhibitor3 were quantified in 3 strains of rats during the development and progression of disease: DA and LEW.1F, which are susceptible to arthritis, and E3, which is resistant. Genetic linkage analysis was performed on an F2 intercross between E3 and DA to determine the genetic control of the acute-phase response in arthritis. Elevated levels of alpha1-acid glycoprotein were associated with acute inflammation, whereas levels of IL-6 were increased during the entire course of the disease. RESULTS: Using these acute-phase markers as quantitative traits in linkage analysis revealed a colocalization of loci controlling the acute-phase response and regions previously shown to control the development of arthritis in chromosomes 10, 12, and 14. In addition, 2 loci that were not associated with arthritis were found to regulate serum levels of the acute-phase protein Apr1 (acute-phase response 1) at the telomeric end of chromosome 12 and Apr2 on chromosome 5. CONCLUSION: The PIA model in rats is a useful tool for understanding some of the pathways leading to chronic erosive arthritis. The analysis of acute-phase proteins in PIA and its application as quantitative traits for studying the genetics of arthritis will promote the understanding of the genetic regulation of the acute-phase response.
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| 8. |
- Pantel, Lucile, et al.
(författare)
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Odilorhabdins, Antibacterial Agents that Cause Miscoding by Binding at a New Ribosomal Site
- 2018
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Ingår i: Molecular Cell. - : CELL PRESS. - 1097-2765 .- 1097-4164. ; 70:1, s. 83-94
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Tidskriftsartikel (refereegranskat)abstract
- Growing resistance of pathogenic bacteria and shortage of antibiotic discovery platforms challenge the use of antibiotics in the clinic. This threat calls for exploration of unconventional sources of antibiotics and identification of inhibitors able to eradicate resistant bacteria. Here we describe a different class of antibiotics, odilorhabdins (ODLs), produced by the enzymes of the non-ribosomal peptide synthetase gene cluster of the nematode-symbiotic bacterium Xenorhabdus nematophila. ODLs show activity against Gram-positive and Gram-negative pathogens, including carbapenem-resistant Enterobacteriaceae, and can eradicate infections in animal models. We demonstrate that the bactericidal ODLs interfere with protein synthesis. Genetic and structural analyses reveal that ODLs bind to the small ribosomal subunit at a site not exploited by current antibiotics. ODLs induce miscoding and promote hungry codon readthrough, amino acid misincorporation, and premature stop codon bypass. We propose that ODLs' miscoding activity reflects their ability to increase the affinity of non-cognate aminoacyl-tRNAs to the ribosome.
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| 9. |
- Sou, Tomás, et al.
(författare)
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Model-Informed Drug Development for Antimicrobials : Translational PK and PK/PD Modeling to Predict an Efficacious Human Dose for Apramycin
- 2021
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Ingår i: Clinical Pharmacology and Therapeutics. - : John Wiley & Sons. - 0009-9236 .- 1532-6535. ; 109:4, s. 1063-1073
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Tidskriftsartikel (refereegranskat)abstract
- Apramycin represents a subclass of aminoglycoside antibiotics that has been shown to evade almost all mechanisms of clinically relevant aminoglycoside resistance. Model-informed drug development may facilitate its transition from preclinical to clinical phase. This study explored the potential of pharmacokinetic/pharmacodynamic (PK/PD) modeling to maximize the use of in vitro time-kill and in vivo preclinical data for prediction of a human efficacious dose (HED) for apramycin. PK model parameters of apramycin from four different species (mouse, rat, guinea pig, and dog) were allometrically scaled to humans. A semimechanistic PK/PD model was developed from the rich in vitro data on four Escherichia coli strains and subsequently the sparse in vivo efficacy data on the same strains were integrated. An efficacious human dose was predicted from the PK/PD model and compared with the classical PK/PD index methodology and the aminoglycoside dose similarity. One-compartment models described the PK data and human values for clearance and volume of distribution were predicted to 7.07 L/hour and 26.8 L, respectively. The required fAUC/MIC (area under the unbound drug concentration-time curve over MIC ratio) targets for stasis and 1-log kill in the thigh model were 34.5 and 76.2, respectively. The developed PK/PD model predicted the efficacy data well with strain-specific differences in susceptibility, maximum bacterial load, and resistance development. All three dose prediction approaches supported an apramycin daily dose of 30 mg/kg for a typical adult patient. The results indicate that the mechanistic PK/PD modeling approach can be suitable for HED prediction and serves to efficiently integrate all available efficacy data with potential to improve predictive capacity.
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| 10. |
- Tängdén, Thomas, et al.
(författare)
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How preclinical infection models help define antibiotic doses in the clinic
- 2020
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Ingår i: International Journal of Antimicrobial Agents. - : Elsevier BV. - 0924-8579 .- 1872-7913. ; 56:2, s. 106008-
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Tidskriftsartikel (refereegranskat)abstract
- Appropriate dosing of antibiotics is key in the treatment of bacterial infections to ensure clinical efficacy while avoiding toxic drug concentrations and minimizing emergence of resistance. As collection of sufficient clinical evidence is difficult for specific patient populations, infection types and pathogens, market authorization, dosing strategies and recommendations often rely on data obtained from in vitro and animal experiments. The aim of this review is to provide an overview of commonly used preclinical infection models, including their strengths and limitations. In vitro, static and dynamic time-kill experiments are the most frequently used methods for assessing pharmacokinetic/pharmacodynamic (PK/PD) associations. Limitations of in vitro models include the inability to account for the effects of the immune system, and uncertainties in clinically relevant bacterial concentrations, growth conditions and the implications of emerging resistant bacterial populations during experiments. Animal experiments, most commonly murine lung and thigh infections models, are considered a necessary link between in vitro data and the clinical situation. However, there are differences in pathophysiology, immunology, and PK between species. Mathematical modeling in which preclinical data are integrated with human population PK can facilitate translation of preclinical data to the patient's clinical situation. Moreover, PK/PD modeling and simulations can help in the design of clinical trials aiming to establish optimal dosing regimens to improve patient outcomes. (C) 2020 The Authors. Published by Elsevier B.V.
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