Evidence map›Paper›PMID 39283074›Full record

ArticleJournal of clinical microbiology2024

A lipidomics-based method to eliminate negative urine culture in general population.

Linda K Nartey, Abanoub Mikhael, Helena Pětrošová, Victor Yuen, Pamela Kibsey, Mert Pekcan, Robert K Ernst, Michael X Chen, David R Goodlett

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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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.

Linda K NarteyDepartment of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada.ORCID 0000-0003-1402-4073
Abanoub MikhaelDepartment of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada.
Helena PětrošováDepartment of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada.
Victor YuenVancouver Island Health Authority, Vancouver, British Columbia, Canada.
Pamela KibseyVancouver Island Health Authority, Vancouver, British Columbia, Canada.
Mert PekcanFaculty of Veterinary Medicine, Ankara University, Ankara, Turkey.ORCID 0000-0003-3084-125X
Robert K ErnstDepartment of Microbial Pathogenesis, University of Maryland, Baltimore, Maryland, USA.ORCID 0000-0001-5016-8694
Michael X Chen *Vancouver Island Health Authority, Vancouver, British Columbia, Canada.ORCID 0000-0002-1535-5205
David R Goodlett *Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada.ORCID 0000-0002-8045-8200

Funding

Colistin-resistant Acinetobacter baumanniiR01AI104895 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOI, YOHEI, ERNST, ROBERT K · 2014 to 2024
$4.2M
MS Diagnostic Bacterial Identification LibraryR01AI147314 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI ERNST, ROBERT K, GOODLETT, DAVID ROBINSON · 2020 to 2024
$2.3M
HHS | National Institutes of Health (NIH) R01AI147314NIAID NIH HHS R01 AI104895NIAID NIH HHS R01 AI147314
6 · The paper itself

Abstract

Urinary tract infections (UTIs) pose a significant challenge to human health. Accurate and timely detection remains pivotal for effective intervention. Current urine culture techniques, while essential, often encounter challenges where urinalysis yields positive results, but subsequent culture testing produces a negative result. This highlights potential discrepancies between the two methods and emphasizes the need for improved correlation in urinary tract infection (UTI) detection. Employing advanced lipidomics techniques, we deployed the fast lipid analysis technique (FLAT) on a clinical cohort suspected of having UTIs. Lipid fingerprinting by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), directly from urine samples without IMPORTANCE: This study employs a lipidomics-based method that promises to enhance the accuracy and reliability of urine culture diagnostics within 1 hour of sample collection. Our findings underscore the potential of lipidomics as a valuable tool in identifying and characterizing microbial populations present in urine samples and efficiently rule out negative urines, ultimately leading to improved patient care and management of urinary tract infections.

Indexed as

LipidomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationUrinalysisUrinary Tract InfectionsUrineAdultAgedAged, 80 and overBacteriaFemaleHumansLipidsMaleMiddle AgedYoung AdultLipidsmass spectrometrymicrobial lipidsurinary tract infectionuropathogens

Identifiers

PMID39283074
PMCPMC11481538

What Socratic 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 Socratic graph.