Evidence map›Paper›PMID 27617798›Full record

ArticleNature microbiology2016

Combating multidrug-resistant Gram-negative bacteria with structurally nanoengineered antimicrobial peptide polymers.

Shu J Lam, Neil M O'Brien-Simpson, Namfon Pantarat, Adrian Sulistio, Edgar H H Wong, Yu-Yen Chen, Jason C Lenzo, James A Holden, Anton Blencowe, Eric C Reynolds and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 233 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
233citing papers in PubMed, 1 pooled it
53.9field-weighted citation impact, top 1% 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

233 citing papers in PubMed, 1 synthesis or guideline pooled it, 799 citations in OpenAlex.

  1. Pooled it
  2. Review
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    Review
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  20. Article

173 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Shu J LamPolymer Science Group, Department of Chemical &Biomolecular Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia.
Neil M O'Brien-SimpsonMelbourne Dental School and The Bio21 Institute of Molecular Science and Biotechnology, Oral Health CRC, The University of Melbourne, Parkville, Victoria 3010, Australia.ORCID http://orcid.org/0000-0001-8462-5603
Namfon PantaratMelbourne Dental School and The Bio21 Institute of Molecular Science and Biotechnology, Oral Health CRC, The University of Melbourne, Parkville, Victoria 3010, Australia.
Adrian SulistioPolymer Science Group, Department of Chemical &Biomolecular Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia.
Edgar H H WongPolymer Science Group, Department of Chemical &Biomolecular Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia.
Yu-Yen ChenMelbourne Dental School and The Bio21 Institute of Molecular Science and Biotechnology, Oral Health CRC, The University of Melbourne, Parkville, Victoria 3010, Australia.
Jason C LenzoMelbourne Dental School and The Bio21 Institute of Molecular Science and Biotechnology, Oral Health CRC, The University of Melbourne, Parkville, Victoria 3010, Australia.
James A HoldenMelbourne Dental School and The Bio21 Institute of Molecular Science and Biotechnology, Oral Health CRC, The University of Melbourne, Parkville, Victoria 3010, Australia.
Anton BlencowePolymer Science Group, Department of Chemical &Biomolecular Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia.
Eric C ReynoldsMelbourne Dental School and The Bio21 Institute of Molecular Science and Biotechnology, Oral Health CRC, The University of Melbourne, Parkville, Victoria 3010, Australia.ORCID http://orcid.org/0000-0002-6618-4856
Greg G QiaoPolymer Science Group, Department of Chemical &Biomolecular Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia.
The University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the recent emergence of reports on resistant Gram-negative 'superbugs', infections caused by multidrug-resistant (MDR) Gram-negative bacteria have been named as one of the most urgent global health threats due to the lack of effective and biocompatible drugs. Here, we show that a class of antimicrobial agents, termed 'structurally nanoengineered antimicrobial peptide polymers' (SNAPPs) exhibit sub-μM activity against all Gram-negative bacteria tested, including ESKAPE and colistin-resistant and MDR (CMDR) pathogens, while demonstrating low toxicity. SNAPPs are highly effective in combating CMDR Acinetobacter baumannii infections in vivo, the first example of a synthetic antimicrobial polymer with CMDR Gram-negative pathogen efficacy. Furthermore, we did not observe any resistance acquisition by A. baumannii (including the CMDR strain) to SNAPPs. Comprehensive analyses using a range of microscopy and (bio)assay techniques revealed that the antimicrobial activity of SNAPPs proceeds via a multimodal mechanism of bacterial cell death by outer membrane destabilization, unregulated ion movement across the cytoplasmic membrane and induction of the apoptotic-like death pathway, possibly accounting for why we did not observe resistance to SNAPPs in CMDR bacteria. Overall, SNAPPs show great promise as low-cost and effective antimicrobial agents and may represent a weapon in combating the growing threat of MDR Gram-negative bacteria.

Indexed as

Drug Resistance, Multiple, BacterialNanoparticlesAcinetobacter baumanniiAcinetobacter InfectionsAnimalsAntimicrobial Cationic PeptidesEscherichia coliGram-Negative BacteriaGram-Negative Bacterial InfectionsMiceNanotechnologyPeritonitisAntimicrobial Cationic Peptides

Identifiers

PMID27617798
OpenAlexW2519871290

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.