Evidence map›Paper›PMID 33206214›Full record

ArticleAnalytical and bioanalytical chemistry2021

Targeted and untargeted quantification of quorum sensing signalling molecules in bacterial cultures and biological samples via HPLC-TQ MS techniques.

Federica Dal Bello, Michael Zorzi, Riccardo Aigotti, Davide Medica, Vito Fanelli, Vincenzo Cantaluppi, Eleonora Amante, Viviana Teresa Orlandi, Claudio Medana

Open access · hybridAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

9 authors at 3 institutions in 1 country.

Federica Dal Bello *Department of Molecular Biotechnology and Health Sciences, University of Turin, via Pietro Giuria 5, 10, 125, Torino, Italy. federica.dalbello@unito.it.
Michael Zorzi *Department of Molecular Biotechnology and Health Sciences, University of Turin, via Pietro Giuria 5, 10, 125, Torino, Italy.
Riccardo AigottiDepartment of Molecular Biotechnology and Health Sciences, University of Turin, via Pietro Giuria 5, 10, 125, Torino, Italy.
Davide MedicaDepartment of Surgical Science Anesthesia and Critical Care, AOU Città della Salute e della Scienza, University of Turin, Corso Bramante 88, 10, 126, Torino, Italy.
Vito FanelliDepartment of Surgical Science Anesthesia and Critical Care, AOU Città della Salute e della Scienza, University of Turin, Corso Bramante 88, 10, 126, Torino, Italy.
Vincenzo CantaluppiDepartment of Translational Medicine, University of Eastern Piedmont, Via Solaroli, 17, 28, 100, Novara, Italy.
Eleonora AmanteDepartment of Chemistry, University of Turin, via Pietro Giuria 5, 10, 125, Torino, Italy.
Viviana Teresa OrlandiDepartment of Biotechnology and Life Sciences, University of Insubria, Via J.H. Dunant 3, 21, 100, Varese, Italy.
Claudio MedanaDepartment of Molecular Biotechnology and Health Sciences, University of Turin, via Pietro Giuria 5, 10, 125, Torino, Italy.
University of Turin · ITUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITUniversity of Insubria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quorum sensing (QS) is the ability of some bacteria to detect and to respond to population density through signalling molecules. QS molecules are involved in motility and cell aggregation mechanisms in diseases such as sepsis. Few biomarkers are currently available to diagnose sepsis, especially in high-risk conditions. The aim of this study was the development of new analytical methods based on liquid chromatography-mass spectrometry for the detection and quantification of QS signalling molecules, including N-acyl homoserine lactones (AHL) and hydroxyquinolones (HQ), in biofluids. Biological samples used in the study were Pseudomonas aeruginosa bacterial cultures and plasma from patients with sepsis. We developed two MS analytical methods, based on neutral loss (NL) and product ion (PI) experiments, to identify and characterize unknown AHL and HQ molecules. We then established a multiple-reaction-monitoring (MRM) method to quantify specific QS compounds. We validated the HPLC-MS-based approaches (MRM-NL-PI), and data were in accord with the validation guidelines. With the NL and PI MS-based methods, we identified and characterized 3 and 13 unknown AHL and HQ compounds, respectively, in biological samples. One of the newly found AHL molecules was C12-AHL, first quantified in Pseudomonas aeruginosa bacterial cultures. The MRM quantitation of analytes in plasma from patients with sepsis confirmed the analytical ability of MRM for the quantification of virulence factors during sepsis. Graphical abstract.

Indexed as

Quorum SensingSignal TransductionAcyl-ButyrolactonesChromatography, High Pressure LiquidHumansLimit of DetectionMass SpectrometryMolecular StructureMultiple Organ FailurePseudomonas aeruginosaQuinolonesReproducibility of ResultsSepsisVirulence FactorsAcyl-ButyrolactonesQuinolonesVirulence FactorsHomoserine lactonesHydroxyquinolonesMass spectrometryPseudomonas aeruginosaQuorum sensing moleculesTriple quadrupole

Identifiers

PMID33206214
PMCPMC7809007
OpenAlexW3101587338

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.