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Article: An appraisal of studies using mouse models to assist the biomarker discovery for sepsis prognosis

TitleAn appraisal of studies using mouse models to assist the biomarker discovery for sepsis prognosis
Authors
KeywordsMice
Prognosis
Prognostic biomarker
Sepsis
Issue Date1-Jul-2023
PublisherElsevier
Citation
Heliyon, 2023, v. 9, n. 7 How to Cite?
Abstract

Introduction

Clinicians need reliable outcome predictors to improve the prognosis of septic patients. Mouse models are widely used in sepsis research. We aimed to review how mouse models were used to search for novel prognostic biomarkers of sepsis in order to optimize their use for future biomarker discovery.

Methods

We searched PubMed from 2012 to July 2022 using “((sepsis) AND (mice)) AND ((prognosis) OR (prognostic biomarker))”.

Results

A total of 412 publications were retrieved. We selected those studies in which mouse sepsis was used to demonstrate prognostic potential of biomarker candidates and/or assist the subsequent evaluation in human sepsis for further appraisal. The most frequent models were lipopolysaccharide (LPS) injection and caecal ligation and puncture (CLP) using young male mice. Discovery technologies applied on mice include setting survival and nonsurvivable groups, detecting changes of biomarker levels and measuring physiological parameters during sepsis. None of the biomarkers achieved sufficient clinical performance for clinical use.

Conclusions

The number of studies and strategies using mouse models to discover prognostic biomarkers of sepsis are limited. Current mouse models need to be further optimized to better conform to human sepsis. Current biomarker platforms do not achieve predictive performance for clinical use.


Persistent Identifierhttp://hdl.handle.net/10722/337660
ISSN
2023 Impact Factor: 3.4
2023 SCImago Journal Rankings: 0.617
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorJiao, Yaqing-
dc.contributor.authorTong, See Wai Cindy-
dc.contributor.authorRainer, Timothy-
dc.date.accessioned2024-03-11T10:22:52Z-
dc.date.available2024-03-11T10:22:52Z-
dc.date.issued2023-07-01-
dc.identifier.citationHeliyon, 2023, v. 9, n. 7-
dc.identifier.issn2405-8440-
dc.identifier.urihttp://hdl.handle.net/10722/337660-
dc.description.abstract<h3>Introduction</h3><p>Clinicians need reliable outcome predictors to improve the prognosis of septic patients. Mouse models are widely used in sepsis research. We aimed to review how mouse models were used to search for novel prognostic biomarkers of sepsis in order to optimize their use for future biomarker discovery.</p><h3>Methods</h3><p>We searched PubMed from 2012 to July 2022 using “((sepsis) AND (mice)) AND ((prognosis) OR (prognostic biomarker))”.</p><h3>Results</h3><p>A total of 412 publications were retrieved. We selected those studies in which mouse sepsis was used to demonstrate prognostic potential of biomarker candidates and/or assist the subsequent evaluation in human sepsis for further appraisal. The most frequent models were lipopolysaccharide (LPS) injection and caecal ligation and puncture (CLP) using young male mice. Discovery technologies applied on mice include setting survival and nonsurvivable groups, detecting changes of biomarker levels and measuring physiological parameters during sepsis. None of the biomarkers achieved sufficient clinical performance for clinical use.</p><h3>Conclusions</h3><p>The number of studies and strategies using mouse models to discover prognostic biomarkers of sepsis are limited. Current mouse models need to be further optimized to better conform to human sepsis. Current biomarker platforms do not achieve predictive performance for clinical use.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofHeliyon-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectMice-
dc.subjectPrognosis-
dc.subjectPrognostic biomarker-
dc.subjectSepsis-
dc.titleAn appraisal of studies using mouse models to assist the biomarker discovery for sepsis prognosis-
dc.typeArticle-
dc.identifier.doi10.1016/j.heliyon.2023.e17770-
dc.identifier.scopuseid_2-s2.0-85165302035-
dc.identifier.volume9-
dc.identifier.issue7-
dc.identifier.eissn2405-8440-
dc.identifier.isiWOS:001055419000001-
dc.identifier.issnl2405-8440-

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