Evidence map›Paper›PMID 35592849›Full record

ArticleBiomarker insights2022

Identification of Potential Urinary Metabolite Biomarkers of

Bart's Jongers, An Hotterbeekx, Kenny Bielen, Philippe Vervliet, Jan Boddaert, Christine Lammens, Erik Fransen, Geert Baggerman, Adrian Covaci, Herman Goossens and 3 more

Abstract read
In one paragraph

Article in Biomarker insights, 2022. 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. Review
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

13 authors.

Bart's JongersMolecular Pathology Group, Laboratory of Cell Biology and Histology, Faculty of Medicine and Health Sciences, Wilrijk, Belgium.ORCID https://orcid.org/0000-0002-3029-4850
An HotterbeekxMolecular Pathology Group, Laboratory of Cell Biology and Histology, Faculty of Medicine and Health Sciences, Wilrijk, Belgium.
Kenny BielenMolecular Pathology Group, Laboratory of Cell Biology and Histology, Faculty of Medicine and Health Sciences, Wilrijk, Belgium.
Philippe VervlietToxicological Centre, University of Antwerp, Wilrijk, Belgium.
Jan BoddaertMolecular Pathology Group, Laboratory of Cell Biology and Histology, Faculty of Medicine and Health Sciences, Wilrijk, Belgium.
Christine LammensLaboratory of Medical Microbiology - Vaccine and Infectious Disease Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium.
Erik FransenStatUa Center for Statistics, University of Antwerp, Antwerp, Belgium.
Geert BaggermanCEPROMA - Centre for proteomics and mass spectrometry, Department of Biology, University of Antwerp, Antwerp, Belgium.
Adrian CovaciToxicological Centre, University of Antwerp, Wilrijk, Belgium.
Herman GoossensLaboratory of Medical Microbiology - Vaccine and Infectious Disease Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium.
Surbhi Malhotra-KumarLaboratory of Medical Microbiology - Vaccine and Infectious Disease Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium.
Philippe G JorensDepartment of Critical Care Medicine, Antwerp University Hospital and University of Antwerp, LEMP, Edegem, Belgium.
Samir Kumar-SinghMolecular Pathology Group, Laboratory of Cell Biology and Histology, Faculty of Medicine and Health Sciences, Wilrijk, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ventilator-associated pneumonia (VAP) caused by Methods: Metabolites were analysed using liquid chromatography-mass spectrometry (LC-MS) in prospectively collected urine samples from mechanically ventilated patients admitted to the Antwerp University Hospital ICU. Patients were followed from the start of mechanical ventilation (n = 100 patients) till the time of clinical diagnosis of VAP (n = 13). Patients (n = 8) in whom diagnosis of VAP was further confirmed by culturing respiratory samples and urine samples were studied for semi-quantitative metabolomics. Results: We first show that multivariate analyses highly discriminated VAP-PA from VAP-non-PA as well as from the pre-infection groups ( Conclusions: Considerable differences exist between urine metabolites in VAP-PA compared to VAP due to other bacterial aetiologies as well to non-VAP (pre-infection) timepoints. The unique urinary metabolic biomarkers we describe here, if further validated, could serve as highly specific diagnostic biomarkers of VAP-PA.

Indexed as

Hospital-acquired pneumoniamass spectrometrymetabolomicsPseudomonas aeruginosaurine biomarkersVAP

Identifiers

PMID35592849
PMCPMC9112676

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.