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Cytokine-Based Insights into Bloodstream Infections and Bacterial Gram Typing in ICU COVID-19 Patients

2025-03Artigo científico Acesso aberto
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dc.contributor.authorAraújo, Rúben
dc.contributor.authorAraújo, Rúben
dc.contributor.authorRamalhete, Luís
dc.contributor.authorRamalhete, Luís
dc.contributor.authorVon Rekowski, Cristiana P.
dc.contributor.authorVon Rekowski, Cristiana
dc.contributor.authorFonseca, Tiago A.H.
dc.contributor.authorFonseca, Tiago AH
dc.contributor.authorCalado, Cecília R.C.
dc.contributor.authorCalado, Cecília
dc.contributor.authorBento, Luís
dc.contributor.authorBento, Luís
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
dc.contributor.institutionComprehensive Health Research Centre (CHRC) - pólo NMS
dc.contributor.institutioniNOVA4Health - pólo NMS
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2025-04-10T16:01:14Z
dc.date.available2025-04-10T16:01:14Z
dc.date.issued2025-03
dc.descriptionFunding Information: This research was funded by project grant DSAIPA/DS/0117/2020, supported by Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia, Portugal, and IPL/IDI&CA2024/R-DICIP_ISEL by Instituto Polit\u00E9cnico de Lisboa, Portugal. The present work was conducted in Instituto Polit\u00E9cnico de Lisboa and in the Engineering & Health Laboratory, resulting from a collaboration protocol established between Universidade Cat\u00F3lica Portuguesa and Instituto Polit\u00E9cnico de Lisboa. Additionally, R. Ara\u00FAjo, T. Fonseca, and C. Rekowski acknowledge their PhD grants from FCT (references: 2021.05553.BD, 2024.02043.BD, and 2023.01951.BD, respectively). Publisher Copyright: © 2025 by the authors.
dc.description.abstractBackground: Timely and accurate identification of bloodstream infections (BSIs) in intensive care unit (ICU) patients remains a key challenge, particularly in COVID-19 settings, where immune dysregulation can obscure early clinical signs. Methods: Cytokine profiling was evaluated to discriminate between ICU patients with and without BSIs, and, among those with confirmed BSIs, to further stratify bacterial infections by Gram type. Serum samples from 45 ICU COVID-19 patients were analyzed using a 21-cytokine panel, with feature selection applied to identify candidate markers. Results: A machine learning workflow identified key features, achieving robust performance metrics with AUC values up to 0.97 for BSI classification and 0.98 for Gram typing. Conclusions: In contrast to traditional approaches that focus on individual cytokines or simple ratios, the present analysis employed programmatically generated ratios between pro-inflammatory and anti-inflammatory cytokines, refined through feature selection. Although further validation in larger and more diverse cohorts is warranted, these findings underscore the potential of advanced cytokine-based diagnostics to enhance precision medicine in infection management.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent1884766
dc.identifier.doi10.3390/metabo15030204
dc.identifier.issn2218-1989
dc.identifier.otherPURE: 114327290
dc.identifier.otherPURE UUID: 8deac9c7-e381-4088-85c3-da63314c80a4
dc.identifier.otherScopus: 105001093834
dc.identifier.urihttp://hdl.handle.net/10362/182080
dc.identifier.urlhttps://www.scopus.com/pages/publications/105001093834
dc.language.isoeng
dc.peerreviewedyes
dc.subjectbloodstream infections
dc.subjectCOVID-19
dc.subjectcytokine profiling
dc.subjectGram typing
dc.subjectICU diagnostics
dc.subjectmachine learning
dc.subjectEndocrinology, Diabetes and Metabolism
dc.subjectBiochemistry
dc.subjectMolecular Biology
dc.subjectSDG 3 - Good Health and Well-being
dc.titleCytokine-Based Insights into Bloodstream Infections and Bacterial Gram Typing in ICU COVID-19 Patientsen
dc.typejournal article
degois.publication.issue3
degois.publication.titleMetabolites
degois.publication.volume15
dspace.entity.typePublication
person.familyNameAraújo
person.familyNameRamalhete
person.familyNameVon Rekowski
person.familyNameHenrique Fonseca
person.familyNameCalado
person.familyNameBento
person.givenNameRúben
person.givenNameLuís
person.givenNameCristiana
person.givenNameTiago Alexandre
person.givenNameCecília
person.givenNameLuís
person.identifier2296066
person.identifier1960990
person.identifier130332
person.identifier.ciencia-id9A18-BFDC-ED95
person.identifier.ciencia-idDF19-022D-AA10
person.identifier.ciencia-id8F1D-1D48-8551
person.identifier.ciencia-id9418-E320-3177
person.identifier.ciencia-idE711-FA12-4784
person.identifier.orcid0000-0002-9369-6486
person.identifier.orcid0000-0002-8911-3380
person.identifier.orcid0009-0009-6843-1935
person.identifier.orcid0000-0003-0741-2211
person.identifier.orcid0000-0002-5264-9755
person.identifier.orcid0000-0002-0260-003X
person.identifier.ridE-2102-2014
person.identifier.ridL-6623-2018
person.identifier.scopus-author-id57208672678
person.identifier.scopus-author-id6603163260
rcaap.rightsopenAccess
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