Evidence map›Paper›PMID 35256720›Full record

ArticleScientific reports2022

An ultrasensitive microfluidic approach reveals correlations between the physico-chemical and biological activity of experimental peptide antibiotics.

Jehangir Cama, Kareem Al Nahas, Marcus Fletcher, Katharine Hammond, Maxim G Ryadnov, Ulrich F Keyser, Stefano Pagliara

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

7 authors.

Jehangir CamaLiving Systems Institute, University of Exeter, Stocker Road, Exeter, EX4 4QD, UK. camajehangir@gmail.com.
Kareem Al NahasCavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK.
Marcus FletcherCavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK.
Katharine HammondNational Physical Laboratory, Hampton Road, Teddington, Middlesex, TW11 0LW, UK.
Maxim G RyadnovNational Physical Laboratory, Hampton Road, Teddington, Middlesex, TW11 0LW, UK.
Ulrich F KeyserCavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK.
Stefano PagliaraLiving Systems Institute, University of Exeter, Stocker Road, Exeter, EX4 4QD, UK. s.pagliara@exeter.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/V008021/1Medical Research Council MCPC17189Wellcome TrustWellcome Trust 204909/Z/16/Z
6 · The paper itself

Abstract

Antimicrobial resistance challenges the ability of modern medicine to contain infections. Given the dire need for new antimicrobials, polypeptide antibiotics hold particular promise. These agents hit multiple targets in bacteria starting with their most exposed regions-their membranes. However, suitable approaches to quantify the efficacy of polypeptide antibiotics at the membrane and cellular level have been lacking. Here, we employ two complementary microfluidic platforms to probe the structure-activity relationships of two experimental series of polypeptide antibiotics. We reveal strong correlations between each peptide's physicochemical activity at the membrane level and biological activity at the cellular level. We achieve this knowledge by assaying the membranolytic activities of the compounds on hundreds of individual giant lipid vesicles, and by quantifying phenotypic responses within clonal bacterial populations with single-cell resolution. Our strategy proved capable of detecting differential responses for peptides with single amino acid substitutions between them, and can accelerate the rational design and development of peptide antimicrobials.

Indexed as

Anti-Infective AgentsAntimicrobial Cationic PeptidesAnti-Bacterial AgentsBacteriaMicrofluidicsStructure-Activity RelationshipAnti-Bacterial AgentsAnti-Infective AgentsAntimicrobial Cationic Peptides

Identifiers

PMID35256720
PMCPMC8901753

What OpenQuestion holds

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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.