Evidence map›Paper›PMID 39918037›Full record

ArticleJournal of veterinary pharmacology and therapeutics2025

Phenotype-Specific Semi-Mechanistic Modelling of Florfenicol Time-Kill Curves in G. Parasuis Compared to Other Respiratory Pathogens.

Andrew Mead, Abigail Hughes, Stefano Azzariti, Pierre-Louis Toutain, Ludovic Pelligand

Abstract read
In one paragraph

Article in Journal of veterinary pharmacology and therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Andrew MeadComparative Biomedical Sciences, The Royal Veterinary College, London, UK.ORCID https://orcid.org/0000-0003-3550-3030
Abigail HughesComparative Biomedical Sciences, The Royal Veterinary College, London, UK.
Stefano AzzaritiComparative Biomedical Sciences, The Royal Veterinary College, London, UK.
Pierre-Louis ToutainComparative Biomedical Sciences, The Royal Veterinary College, London, UK.ORCID https://orcid.org/0000-0002-8846-8892
Ludovic PelligandComparative Biomedical Sciences, The Royal Veterinary College, London, UK.ORCID https://orcid.org/0000-0001-6005-1975

Funding

ECO Animal HealthRoyal Veterinary College
6 · The paper itself

Abstract

This study examines the pharmacodynamics (PD) of florfenicol (FFN) for treating porcine respiratory diseases by comparing its effects on Glaesserella parasuis, Actinobacillus pleuropneumoniae and Pasteurella multocida. In vitro time-kill assays and semi-mechanistic PD modeling were used to assess bacterial growth and killing rates at varying FFN concentrations. Species-specific PD models indicated that fAUC/MIC was the best PK/PD index across all species. A. pleuropneumoniae and P. multocida had target values of 1.05 and 1.66 × MIC, respectively for bacteriostasis and 1.12 and 1.87 × MIC for 99.9% kill. Two phenotypes of G. parasuis emerged "fast-kill" and "slow-kill" which displayed distinct bacterial eradication rates despite similar MICs. For "slow-kill" isolates, an average free drug concentration (fAUC/MIC) of 1.46 and 1.63 × MIC (median, range: 1.53-1.69) was required for bacteriostasis and 99.9% kill. "Fast-kill" isolates needed an average free drug concentration of 1.38 × MIC for bacteriostasis and 1.51 × MIC for a 99.9% reduction. Indicating that the rate of kill influences the respective average free concentration required to achieve an equivalent antibacterial effect. Simulations of clinical dosing of FFN predicted bacterial eradication for all species, highlighting the value of phenotype-specific PD modeling in guiding treatment strategies for porcine respiratory infections.

Indexed as

Anti-Bacterial AgentsHaemophilus parasuisThiamphenicolActinobacillus pleuropneumoniaeAnimalsMicrobial Sensitivity TestsModels, BiologicalPasteurella multocidaPhenotypeSwineSwine DiseasesAnti-Bacterial AgentsflorfenicolThiamphenicolflorfenicolpharmacodynamicspharmacokineticsPK/PD modelling

Identifiers

PMID39918037
PMCPMC12257270

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.