Evidence map›Paper›PMID 30263975›Full record

ArticleCurrent opinion in biomedical engineering2017

Quantitative and synthetic biology approaches to combat bacterial pathogens.

Feilun Wu, Jonathan H Bethke, Meidi Wang, Lingchong You

Abstract read
In one paragraph

Article in Current opinion in biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Robust, linear correlations between growth rates and β-lactam-mediated lysis rates.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
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.

Feilun WuDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, 27708, USA.
Jonathan H BethkeDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, NC 27710, USA.
Meidi WangDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, 27708, USA.
Lingchong YouDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, 27708, USA.

Funding

Post-antibiotic effect and design of optimal antibiotic dosing protocolsR01GM098642 · NIGMS · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2011 to 2025
$3.6M
Tradeoffs between fitness costs and transfer rates in horizontal gene transferR01AI125604 · NIAID · DUKE UNIVERSITY · PI LINGCHONG YOU · 2017 to 2026
$3.3M
A synthetic biology approach to analyze evolution of programmed bacterial deathR01GM110494 · NIGMS · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2014 to 2017
$1.2M
NIAID NIH HHS R01 AI125604NIGMS NIH HHS R01 GM098642NIGMS NIH HHS R01 GM110494
6 · The paper itself

Abstract

Antibiotic resistance is one of the biggest threats to public health. The rapid emergence of resistant bacterial pathogens endangers the efficacy of current antibiotics and has led to increasing mortality and economic burden. This crisis calls for more rapid and accurate diagnosis to detect and identify pathogens, as well as to characterize their response to antibiotics. Building on this foundation, treatment options also need to be improved to use current antibiotics more effectively and develop alternative strategies that complement the use of antibiotics. We here review recent developments in diagnosis and treatment of bacterial pathogens with a focus on quantitative biology and synthetic biology approaches.

Identifiers

PMID30263975
PMCPMC6152938

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.