Evidence map›Paper›PMID 25391482›Full record

ArticleScience translational medicine2014

Prediction of resistance development against drug combinations by collateral responses to component drugs.

Christian Munck, Heidi K Gumpert, Annika I Nilsson Wallin, Harris H Wang, Morten O A Sommer

Abstract read
In one paragraph

Article in Science translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

117 citing papers in PubMed.

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57 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.

Christian MunckDepartment of Systems Biology, Technical University of Denmark, DK-2800 Lyngby, Denmark.
Heidi K GumpertDepartment of Systems Biology, Technical University of Denmark, DK-2800 Lyngby, Denmark.
Annika I Nilsson WallinNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2970 Hørsholm, Denmark.
Harris H WangDepartment of Systems Biology, Columbia University Medical Center, New York, NY 10032, USA.
Morten O A SommerDepartment of Systems Biology, Technical University of Denmark, DK-2800 Lyngby, Denmark. Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2970 Hørsholm, Denmark. msom@bio.dtu.dk.

Funding

Functional Metagenomic Reprogramming of the Human Microbiome through Mobilome EngDP5OD009172 · OD · HARVARD MEDICAL SCHOOL · PI WANG, HARRIS H · 2011 to 2015
$2.0M
NIH HHS DP5 OD009172
6 · The paper itself

Abstract

Resistance arises quickly during chemotherapeutic selection and is particularly problematic during long-term treatment regimens such as those for tuberculosis, HIV infections, or cancer. Although drug combination therapy reduces the evolution of drug resistance, drug pairs vary in their ability to do so. Thus, predictive models are needed to rationally design resistance-limiting therapeutic regimens. Using adaptive evolution, we studied the resistance response of the common pathogen Escherichia coli to 5 different single antibiotics and all 10 different antibiotic drug pairs. By analyzing the genomes of all evolved E. coli lineages, we identified the mutational events that drive the differences in drug resistance levels and found that the degree of resistance development against drug combinations can be understood in terms of collateral sensitivity and resistance that occurred during adaptation to the component drugs. Then, using engineered E. coli strains, we confirmed that drug resistance mutations that imposed collateral sensitivity were suppressed in a drug pair growth environment. These results provide a framework for rationally selecting drug combinations that limit resistance evolution.

Indexed as

Drug Resistance, BacterialAllelesAnti-Bacterial AgentsDNA Mutational AnalysisDrug DesignDrug InteractionsDrug Therapy, CombinationEscherichia coliEvolution, MolecularHumansInhibitory Concentration 50Microbial Sensitivity TestsMutationPolymerase Chain ReactionPolymorphism, Single NucleotideAnti-Bacterial Agents

Identifiers

PMID25391482
PMCPMC4503331

What OpenQuestion holds

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Registered trials

None linked

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.