Evidence map›Paper›PMID 25624330›Full record

ArticleAntimicrobial agents and chemotherapy2015

Characterization of high-level daptomycin resistance in Viridans group Streptococci developed upon in vitro exposure to daptomycin.

Ronda L Akins, Bradley D Katz, Catherine Monahan, Dylan Alexander

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Membrane Phenotypic, Metabolic and Genotypic Adaptations ofAntibiotics (Basel, Switzerland) · 2023
    Article
  5. Article
  6. Review
  7. Development of High-Level Daptomycin Resistance inAntimicrobial agents and chemotherapy · 2021
    Article
  8. Evaluating the Rapid Emergence of Daptomycin Resistance inJournal of clinical microbiology · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Evolving resistance among Gram-positive pathogens.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2015
    Review
  18. Mechanisms of drug resistance: daptomycin resistance.Annals of the New York Academy of Sciences · 2015
    Review
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

4 authors at 2 institutions in 1 country.

Ronda L AkinsMethodist Charlton Medical Center, Dallas, Texas, USA Louisiana State University Health Sciences Center-Shreveport, School of Medicine, Shreveport, Louisiana, USA rondaakins@mhd.com.
Bradley D KatzCubist Pharmaceuticals, Lexington, Massachusetts, USA.
Catherine MonahanCubist Pharmaceuticals, Lexington, Massachusetts, USA.
Dylan AlexanderCubist Pharmaceuticals, Lexington, Massachusetts, USA.
Cubist Pharmaceuticals (United States) · USMethodist Dallas Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viridans group streptococci (VGS) are part of the normal flora that may cause bacteremia, often leading to endocarditis. We evaluated daptomycin against four clinical strains of VGS (MICs = 1 or 2 μg/ml) using an in vitro-simulated endocardial vegetation model, a simulated bacteremia model, and kill curves. Daptomycin exposure was simulated at 6 mg/kg of body weight and 8 mg/kg every 24 h for endocardial and bacteremia models. Total drug concentrations were used for analyses containing protein (albumin and pooled human serum), and free (unbound) drug concentrations (93% protein bound) were used for analyses not containing protein. Daptomycin MICs in the presence of protein were significantly higher than those in the absence of protein. Despite MICs below or at the susceptible breakpoint, all daptomycin regimens demonstrated limited kill in both pharmacodynamic models. A reduction of approximately 1 to 2 log10 CFU was seen for all isolates and dosages except daptomycin at 6 mg/kg, which achieved a reduction of 2.7 log10 CFU/g against one strain (Streptococcus gordonii 1649) in the endocardial model. Activity was similar in both pharmacodynamic models in the presence or absence of protein. Similar activity was noted in the kill curves over all multiples of the MIC. Regrowth by 24 h was seen even at 8× MIC. Postexposure daptomycin MICs for both pharmacodynamic models increased to >256 μg/ml for all isolates by 24 and 72 h. Despite susceptibility to daptomycin by standard MIC methods, these VGS developed high-level daptomycin resistance (HLDR) after a short duration following drug exposure not attributed to modification or inactivation of daptomycin. Further evaluation is warranted to determine the mechanism of resistance and clinical implications.

Indexed as

Anti-Bacterial AgentsBacteremiaCalciumColony Count, MicrobialDaptomycinDrug Resistance, BacterialDrug SynergismEndocarditis, BacterialHumansMicrobial Sensitivity TestsStreptococcal InfectionsStreptococcus gordoniiViridans StreptococciAnti-Bacterial AgentsCalciumDaptomycin

Identifiers

PMID25624330
PMCPMC4356810
OpenAlexW2140105588

What OpenQuestion holds

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Read underepoch 390

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.