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      A new pharmacodynamic approach to study antibiotic combinations against enterococci in vivo: Application to ampicillin plus ceftriaxone

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          Abstract

          The combination of ampicillin (AMP) and ceftriaxone (CRO) is considered synergistic against Enterococcus faecalis based on in vitro tests and the rabbit endocarditis model, however, in vitro assays are limited by the use of fixed antibiotic concentrations and the rabbit model by poor bacterial growth, high variability, and the use of point dose-effect estimations, that may lead to inaccurate assessment of antibiotic combinations and hinder optimal translation. Here, we tested AMP+CRO against two strains of E. faecalis and one of E. faecium in an optimized mouse thigh infection model that yields high bacterial growth and allows to define the complete dose-response relationship. By fitting Hill’s sigmoid model and estimating the parameters maximal effect (E max) and effective dose 50 (ED 50), the following interactions were defined: synergism (E max increase ≥2 log 10 CFU/g), antagonism (E max reduction ≥1 log 10 CFU/g) and potentiation (ED 50 reduction ≥50% without changes in E max). AMP monotherapy was effective against the three strains, yielding valid dose-response curves in terms of dose and the index fT >MIC. CRO monotherapy showed no effect. The combination AMP+CRO against E. faecalis led to potentiation (59–81% ED 50 reduction) and not synergism (no changes in E max). Against E. faecium, the combination was indifferent. The optimized mouse infection model allowed to obtain the complete dose-response curve of AMP+CRO and to define its interaction based on pharmacodynamic parameter changes. Integrating these results with the pharmacokinetics will allow to derive the PK/PD index bound to the activity of the combination, essential for proper translation to the clinic.

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          Infective Endocarditis in Adults: Diagnosis, Antimicrobial Therapy, and Management of Complications: A Scientific Statement for Healthcare Professionals From the American Heart Association.

          Infective endocarditis is a potentially lethal disease that has undergone major changes in both host and pathogen. The epidemiology of infective endocarditis has become more complex with today's myriad healthcare-associated factors that predispose to infection. Moreover, changes in pathogen prevalence, in particular a more common staphylococcal origin, have affected outcomes, which have not improved despite medical and surgical advances.
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            Analysis of drug combinations: current methodological landscape

            Combination therapies exploit the chances for better efficacy, decreased toxicity, and reduced development of drug resistance and owing to these advantages, have become a standard for the treatment of several diseases and continue to represent a promising approach in indications of unmet medical need. In this context, studying the effects of a combination of drugs in order to provide evidence of a significant superiority compared to the single agents is of particular interest. Research in this field has resulted in a large number of papers and revealed several issues. Here, we propose an overview of the current methodological landscape concerning the study of combination effects. First, we aim to provide the minimal set of mathematical and pharmacological concepts necessary to understand the most commonly used approaches, divided into effect-based approaches and dose–effect-based approaches, and introduced in light of their respective practical advantages and limitations. Then, we discuss six main common methodological issues that scientists have to face at each step of the development of new combination therapies. In particular, in the absence of a reference methodology suitable for all biomedical situations, the analysis of drug combinations should benefit from a collective, appropriate, and rigorous application of the concepts and methods reviewed here.
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              Accurate detection of outliers and subpopulations with Pmetrics, a nonparametric and parametric pharmacometric modeling and simulation package for R.

              Nonparametric population modeling algorithms have a theoretical superiority over parametric methods to detect pharmacokinetic and pharmacodynamic subgroups and outliers within a study population. The authors created "Pmetrics," a new Windows and Unix R software package that updates the older MM-USCPACK software for nonparametric and parametric population modeling and simulation of pharmacokinetic and pharmacodynamic systems. The parametric iterative 2-stage Bayesian and the nonparametric adaptive grid (NPAG) approaches in Pmetrics were used to fit a simulated population with bimodal elimination (Kel) and unimodal volume of distribution (Vd), plus an extreme outlier, for a 1-compartment model of an intravenous drug. The true means (SD) for Kel and Vd in the population sample were 0.19 (0.17) and 102 (22.3), respectively. Those found by NPAG were 0.19 (0.16) and 104 (22.6). The iterative 2-stage Bayesian estimated them to be 0.18 (0.16) and 104 (24.4). However, given the bimodality of Kel, no subject had a value near the mean for the population. Only NPAG was able to accurately detect the bimodal distribution for Kel and to find the outlier in both the population model and in the Bayesian posterior parameter estimates. Built on over 3 decades of work, Pmetrics adopts a robust, reliable, and mature nonparametric approach to population modeling, which was better than the parametric method at discovering true pharmacokinetic subgroups and an outlier.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: Writing – review & editing
                Role: Formal analysisRole: SoftwareRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                8 December 2020
                2020
                : 15
                : 12
                : e0243365
                Affiliations
                [1 ] GRIPE, School of Medicine, University of Antioquia, Medellín, Colombia
                [2 ] Integrated Laboratory of Specialized Medicine (LIME), School of Medicine, University of Antioquia, Medellín, Colombia
                [3 ] Infectious Diseases Unit, Hospital Universitario San Vicente Fundación, Medellín, Colombia
                Cornell University, UNITED STATES
                Author notes

                Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: CAR has received honoraria for lectures on the therapeutic equivalence of generics and biosimilars from Allergan, Biosidus, Novartis and Pfizer, unrelated to this research project. AFZ has received honoraria for advisory boards and lectures on generics and biomilars therapeutic equivalence not related to the content of this paper from Allergan, Amgen, Janssen, Lilly, Merck, Novartis, Novo Nordisk, Pfizer, Roche and Sanofi. None of these companies or any other were involved in the design, execution, or publication of this study. IJT, JDO and OV have declared that no competing interests exist. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

                Author information
                https://orcid.org/0000-0002-4042-4313
                https://orcid.org/0000-0001-5202-1645
                https://orcid.org/0000-0002-4308-7930
                Article
                PONE-D-20-19379
                10.1371/journal.pone.0243365
                7723291
                33290425
                2d360437-40e4-4448-a5e4-08083dd64cd8
                © 2020 Jimenez-Toro et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 1 July 2020
                : 19 November 2020
                Page count
                Figures: 5, Tables: 3, Pages: 15
                Funding
                This project was funded by Minciencias (Colombian Ministry of Science and Technology), grant 111571149738 (AFZ, CAR) and 785 National PhD Scholarship 2017 (IJT), and by the University of Antioquia. www.minciencias.gov.co www.udea.edu.co The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Bacteria
                Enterococcus
                Enterococcus Faecalis
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Bacterial Pathogens
                Enterococcus
                Enterococcus Faecalis
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Microbial Pathogens
                Bacterial Pathogens
                Enterococcus
                Enterococcus Faecalis
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Bacterial Diseases
                Enterococcus Infections
                Medicine and Health Sciences
                Pharmacology
                Drugs
                Antimicrobials
                Antibiotics
                Biology and Life Sciences
                Microbiology
                Microbial Control
                Antimicrobials
                Antibiotics
                Medicine and Health Sciences
                Cardiology
                Endocarditis
                Medicine and Health Sciences
                Pharmacology
                Pharmacodynamics
                Medicine and Health Sciences
                Pharmacology
                Drug Interactions
                Research and Analysis Methods
                Animal Studies
                Animal Models of Disease
                Animal Models of Infection
                Biology and Life Sciences
                Microbiology
                Animal Models of Infection
                Biology and Life Sciences
                Organisms
                Bacteria
                Enterococcus
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Bacterial Pathogens
                Enterococcus
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Microbial Pathogens
                Bacterial Pathogens
                Enterococcus
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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