Evidence map›Paper›PMID 30026575›Full record

ArticleScientific reports2018

Metabolic Phenotyping and Strain Characterisation of Pseudomonas aeruginosa Isolates from Cystic Fibrosis Patients Using Rapid Evaporative Ionisation Mass Spectrometry.

Emmanuelle E Bardin, Simon J S Cameron, Alvaro Perdones-Montero, Kate Hardiman, Frances Bolt, Eric W F W Alton, Andrew Bush, Jane C Davies, Zoltan Takáts

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

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  16. Pathophysiological Mechanisms of Asthma.Frontiers in pediatrics · 2019
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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.

Emmanuelle E BardinDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom.
Simon J S CameronDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom.
Alvaro Perdones-MonteroDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom.
Kate HardimanDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom.
Frances BoltDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom.
Eric W F W AltonNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Andrew BushNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Jane C DaviesNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Zoltan TakátsDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom. z.takats@imperial.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/L020858/1
6 · The paper itself

Abstract

Rapid evaporative ionisation mass spectrometry (REIMS) is a novel technique for the real-time analysis of biological material. It works by conducting an electrical current through a sample, causing it to rapidly heat and evaporate, with the analyte containing vapour channelled to a mass spectrometer. It was used to characterise the metabolome of 45 Pseudomonas aeruginosa (P. aeruginosa) isolates from cystic fibrosis (CF) patients and compared to 80 non-CF P. aeruginosa. Phospholipids gave the highest signal intensity; 17 rhamnolipids and 18 quorum sensing molecules were detected, demonstrating that REIMS has potential for the study of virulence-related metabolites. P. aeruginosa isolates obtained from respiratory samples showed a higher diversity, which was attributed to the chronic nature of most respiratory infections. The analytical sensitivity of REIMS allowed the detection of a metabolome that could be used to classify individual P. aeruginosa isolates after repeated culturing with 81% accuracy, and an average 83% concordance with multilocus sequence typing. This study underpins the capacities of REIMS as a tool with clinical applications, such as metabolic phenotyping of the important CF pathogen P. aeruginosa, and highlights the potential of metabolic fingerprinting for fine scale characterisation at a sub-species level.

Indexed as

Bacterial Typing TechniquesCystic FibrosisHumansMetabolomicsMultilocus Sequence TypingPhenotypePseudomonas aeruginosaPseudomonas InfectionsQuorum SensingSensitivity and SpecificitySpectrometry, Mass, Electrospray IonizationVirulence

Identifiers

PMID30026575
PMCPMC6053451

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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.