Evidence map›Paper›PMID 27639378›Full record

ArticleBMC microbiology2016

Time-kill curve analysis and pharmacodynamic modelling for in vitro evaluation of antimicrobials against Neisseria gonorrhoeae.

Sunniva Foerster, Magnus Unemo, Lucy J Hathaway, Nicola Low, Christian L Althaus

Abstract read
In one paragraph

Article in BMC microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
–field-weighted citation impact
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

73 citing papers in PubMed.

  1. Study on the Mechanism of Berberine Reversing MRSA Resistance to β-Lactam Antibiotics by Inhibiting blaZ Expression.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
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  17. Bacteriophage pharmacodynamics studied in anJAC-antimicrobial resistance · 2025
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  20. Application of TiOInternational journal of molecular sciences · 2025
    Review

13 more citing papers are in PubMed but not listed here.

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.

Sunniva FoersterInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Magnus UnemoWHO Collaborating Centre for Gonorrhoea and other STIs, National Reference Laboratory for Pathogenic Neisseria, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Lucy J HathawayInstitute for Infectious Diseases, University of Bern, Bern, Switzerland.
Nicola LowInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Christian L AlthausInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland. christian.althaus@alumni.ethz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGonorrhoea is a sexually transmitted infection caused by the Gram-negative bacterium Neisseria gonorrhoeae. Resistance to first-line empirical monotherapy has emerged, so robust methods are needed to evaluate the activity of existing and novel antimicrobials against the bacterium. Pharmacodynamic models describing the relationship between the concentration of antimicrobials and the minimum growth rate of the bacteria provide more detailed information than the MIC only.

resultsIn this study, a novel standardised in vitro time-kill curve assay was developed. The assay was validated using five World Health Organization N. gonorrhoeae reference strains and a range of ciprofloxacin concentrations below and above the MIC. Then the activity of nine antimicrobials with different target mechanisms was examined against a highly antimicrobial susceptible clinical strain isolated in 1964. The experimental time-kill curves were analysed and quantified with a previously established pharmacodynamic model. First, the bacterial growth rates at each antimicrobial concentration were estimated with linear regression. Second, we fitted the model to the growth rates, resulting in four parameters that describe the pharmacodynamic properties of each antimicrobial. A gradual decrease of bactericidal effects from ciprofloxacin to spectinomycin and gentamicin was found. The beta-lactams ceftriaxone, cefixime and benzylpenicillin showed bactericidal and time-dependent properties. Chloramphenicol and tetracycline were purely bacteriostatic as they fully inhibited the growth but did not kill the bacteria. We also tested ciprofloxacin resistant strains and found higher pharmacodynamic MICs (zMIC) in the resistant strains and attenuated bactericidal effects at concentrations above the zMIC.

conclusionsN. gonorrhoeae time-kill curve experiments analysed with a pharmacodynamic model have potential for in vitro evaluation of new and existing antimicrobials. The pharmacodynamic parameters based on a wide range of concentrations below and above the MIC provide information that could support improving future dosing strategies to treat gonorrhoea.

Indexed as

Models, TheoreticalAnti-Bacterial AgentsCefiximeCeftriaxoneCell CountCell SurvivalChloramphenicolCiprofloxacinGentamicinsGrowth ChartsHumansIn Vitro TechniquesMicrobial Sensitivity TestsNeisseria gonorrhoeaePenicillin GSpectinomycinAnti-Bacterial AgentsCefiximeCeftriaxoneChloramphenicolCiprofloxacinGentamicinsPenicillin GSpectinomycinTetracyclineAntimicrobial resistanceGonorrhoeaNeisseria gonorrhoeaePharmacodynamicsTime-kill curves

Identifiers

PMID27639378
PMCPMC5027106

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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.