Evidence map›Paper›PMID 41044209›Full record

ArticleScientific reports2025

The applicability of fluorescent optotracers for in vitro and in vivo Staphylococcus aureus detection and quantification.

Liliana Agresti, Elles C Boonstra, Paul C Jutte, Henny C van der Mei, Jelmer Sjollema

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Liliana AgrestiUniversity of Groningen, University Medical Center Groningen, Department of Biomaterials & Biomedical Technology, Antonius Deusinglaan 1, 9713, AV, Groningen, The Netherlands.
Elles C BoonstraUniversity of Groningen, University Medical Center Groningen, Department of Orthopaedics, Hanzeplein 1, 9700, RB, Groningen, The Netherlands.
Paul C JutteUniversity of Groningen, University Medical Center Groningen, Department of Orthopaedics, Hanzeplein 1, 9700, RB, Groningen, The Netherlands.
Henny C van der MeiUniversity of Groningen, University Medical Center Groningen, Department of Biomaterials & Biomedical Technology, Antonius Deusinglaan 1, 9713, AV, Groningen, The Netherlands.
Jelmer SjollemaUniversity of Groningen, University Medical Center Groningen, Department of Biomaterials & Biomedical Technology, Antonius Deusinglaan 1, 9713, AV, Groningen, The Netherlands. j.sjollema@umcg.nl.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek NWA.1292.19.354
6 · The paper itself

Abstract

A sensitive and specific method for assessing microbial contamination is crucial in many sectors of our society like the medical field. Optotracers that trigger fluorescence upon binding to bacterial cell surfaces offer a novel approach. Several studies have highlighted limitations in the specificity of these optotracers with respect to their molecular targets, but, to the best of our knowledge, none did in vivo studies with the same bacterial strain as the in vitro studies. In this study, we compared the activatable optotracer EbbaBiolight 680 for bacterial detection, both in vitro and in vivo with the same Staphylococcus aureus bacterial strain, while analyzing the sensitivity and specificity of the probe against this strain. In vitro the probe's fluorescence correlated strongly with the number of bacterial colony-forming units, both in planktonic suspension and biofilms. However, in vivo results from a mouse model demonstrated limited specificity for S. aureus, as the probe also binds to repetitive component motifs in the extracellular matrix of the tissue. This resulted in a substantial background signal that obscured bacterial detection. In conclusion, while EbbaBiolight 680 effectively detects S. aureus in planktonic suspension and biofilms in vitro, the probe has unfortunately limited specificity in vivo, which can hinder accurate bacterial detection.

Indexed as

Fluorescent DyesStaphylococcal InfectionsStaphylococcus aureusAnimalsBiofilmsMiceFluorescent DyesBacterial detectionBiofilmsBioluminescent bacteriaIn vivo imaging of infectionOptotracersProbe specificity

Identifiers

PMID41044209
PMCPMC12494981

What Socratic 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 Socratic graph.