Evidence map›Paper›PMID 25645838›Full record

ArticleAntimicrobial agents and chemotherapy2015

Two mechanisms of killing of Pseudomonas aeruginosa by tobramycin assessed at multiple inocula via mechanism-based modeling.

Jürgen B Bulitta, Neang S Ly, Cornelia B Landersdorfer, Nicholin A Wanigaratne, Tony Velkov, Rajbharan Yadav, Antonio Oliver, Lisandra Martin, Beom Soo Shin, Alan Forrest and 1 more

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 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 5% 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.

  1. Pooled it
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  15. Perturbation-specific transcriptional mapping for unbiased target elucidation of antibiotics.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

11 authors at 4 institutions in 4 countries.

Jürgen B BulittaDrug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University (Parkville Campus), Parkville, Victoria, Australia School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York jurgen.bulitta@monash.edu.
Neang S LySchool of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York.ORCID http://orcid.org/0000-0002-5571-0347
Cornelia B LandersdorferDrug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University (Parkville Campus), Parkville, Victoria, Australia School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York.
Nicholin A WanigaratneDrug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University (Parkville Campus), Parkville, Victoria, Australia.
Tony VelkovDrug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University (Parkville Campus), Parkville, Victoria, Australia.
Rajbharan YadavDrug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University (Parkville Campus), Parkville, Victoria, Australia.
Antonio OliverServicio de Microbiología, Hospital Universitario Son Espases, Palma de Mallorca, Spain.
Lisandra MartinSchool of Chemistry, Monash University (Clayton Campus), Clayton, Victoria, Australia.
Beom Soo ShinCollege of Pharmacy, Catholic University of Daegu, Gyeongsan-si, Gyeongbuk, Republic of Korea.
Alan ForrestSchool of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York.
Brian T TsujiSchool of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York.
Monash University · AUUniversity at Buffalo, State University of New York · USDaegu Catholic University · KRHospital Universitario Son Espases · ES

Funding

Novel PK/PD Strategies for Polymyxin Combinations against Gram-negative SuperbugsR01AI111990 · NIAID · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI LI, JIAN, TSUJI, BRIAN · 2014 to 2018
$4.4M
NIAID NIH HHS R01 AI111990
6 · The paper itself

Abstract

Bacterial resistance is among the most serious threats to human health globally, and many bacterial isolates have emerged that are resistant to all antibiotics in monotherapy. Aminoglycosides are often used in combination therapies against severe infections by multidrug-resistant bacteria. However, models quantifying different antibacterial effects of aminoglycosides are lacking. While the mode of aminoglycoside action on protein synthesis has often been studied, their disruptive action on the outer membrane of Gram-negative bacteria remains poorly characterized. Here, we developed a novel quantitative model for these two mechanisms of aminoglycoside action, phenotypic tolerance at high bacterial densities, and adaptive bacterial resistance in response to an aminoglycoside (tobramycin) against three Pseudomonas aeruginosa strains. At low-intermediate tobramycin concentrations (<4 mg/liter), bacterial killing due to the effect on protein synthesis was most important, whereas disruption of the outer membrane was the predominant killing mechanism at higher tobramycin concentrations (≥8 mg/liter). The extent of killing was comparable across all inocula; however, the rate of bacterial killing and growth was substantially lower at the 10(8.9) CFU/ml inoculum than that at the lower inocula. At 1 to 4 mg/liter tobramycin for strain PAO1-RH, there was a 0.5- to 6-h lag time of killing that was modeled via the time to synthesize hypothetical lethal protein(s). Disruption of the outer bacterial membrane by tobramycin may be critical to enhance the target site penetration of antibiotics used in synergistic combinations with aminoglycosides and thereby combat multidrug-resistant bacteria. The two mechanisms of aminoglycoside action and the new quantitative model hold great promise to rationally design novel, synergistic aminoglycoside combination dosage regimens.

Indexed as

Anti-Bacterial AgentsBacterial Outer Membrane ProteinsColony Count, MicrobialComputer SimulationDrug Resistance, BacterialMicrobial Sensitivity TestsModels, BiologicalPseudomonas aeruginosaTobramycinAnti-Bacterial AgentsBacterial Outer Membrane ProteinsTobramycin

Identifiers

PMID25645838
PMCPMC4356757
OpenAlexW1992114884

What OpenQuestion holds

Textmetadata
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.