Evidence map›Paper›PMID 32983122›Full record

ReviewFrontiers in immunology2020

Evolutionary Approaches to Combat Antibiotic Resistance: Opportunities and Challenges for Precision Medicine.

Matthias Merker, Leif Tueffers, Marie Vallier, Espen E Groth, Lindsay Sonnenkalb, Daniel Unterweger, John F Baines, Stefan Niemann, Hinrich Schulenburg

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Advances in the Management of Infectious Diseases.Infectious disease reports · 2025
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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

9 authors.

Matthias MerkerMolecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.
Leif TueffersCluster of Excellence Precision Medicine in Chronic Inflammation, Kiel, Germany.
Marie VallierCluster of Excellence Precision Medicine in Chronic Inflammation, Kiel, Germany.
Espen E GrothCluster of Excellence Precision Medicine in Chronic Inflammation, Kiel, Germany.
Lindsay SonnenkalbMolecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.
Daniel UnterwegerCluster of Excellence Precision Medicine in Chronic Inflammation, Kiel, Germany.
John F BainesCluster of Excellence Precision Medicine in Chronic Inflammation, Kiel, Germany.
Stefan NiemannMolecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.
Hinrich SchulenburgCluster of Excellence Precision Medicine in Chronic Inflammation, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rise of antimicrobial resistance (AMR) in bacterial pathogens is acknowledged by the WHO as a major global health crisis. It is estimated that in 2050 annually up to 10 million people will die from infections with drug resistant pathogens if no efficient countermeasures are implemented. Evolution of pathogens lies at the core of this crisis, which enables rapid adaptation to the selective pressures imposed by antimicrobial usage in both medical treatment and agriculture, consequently promoting the spread of resistance genes or alleles in bacterial populations. Approaches developed in the field of Evolutionary Medicine attempt to exploit evolutionary insight into these adaptive processes, with the aim to improve diagnostics and the sustainability of antimicrobial therapy. Here, we review the concept of evolutionary trade-offs in the development of AMR as well as new therapeutic approaches and their impact on host-microbiome-pathogen interactions. We further discuss the possible translation of evolution-informed treatments into clinical practice, considering both the rapid cure of the individual patients and the prevention of AMR.

Indexed as

AnimalsAnti-Bacterial AgentsAntimicrobial StewardshipBacteriaBacterial InfectionsBacterial ProteinsDrug Resistance, BacterialEvolution, MolecularGene Expression Regulation, BacterialHost-Pathogen InteractionsHumansPrecision MedicineAnti-Bacterial AgentsBacterial ProteinsAMRdrug resistanceevolutionevolutionary medicineprecision medicine

Identifiers

PMID32983122
PMCPMC7481325

What OpenQuestion holds

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LicenceCC BY
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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.