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Proteomics to Identify New Blood Biomarkers for Diagnosing Patients With Acute Stroke

2023-11-21Artigo científico Acesso aberto
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dc.contributor.authorMarto, João Pedro
dc.contributor.authorCarvalho, Ana Sofia
dc.contributor.authorMollet, Inês G.
dc.contributor.authorMendonça, Marcelo
dc.contributor.authorSalavisa, Manuel
dc.contributor.authorMeira, Bruna
dc.contributor.authorFernandes, Marco
dc.contributor.authorSerrazina, Filipa
dc.contributor.authorVentura, Rita
dc.contributor.authorSobral-Pinho, André
dc.contributor.authorBeck, Hans C.
dc.contributor.authorVieira, Helena L.A.
dc.contributor.authorViana-Baptista, Miguel
dc.contributor.authorMatthiesen, Rune
dc.contributor.authorMatthiesen, Rune
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
dc.contributor.institutioniNOVA4Health - pólo NMS
dc.contributor.institutionUCIBIO - Applied Molecular Biosciences Unit
dc.contributor.institutionFaculdade de Ciências e Tecnologia (FCT)
dc.contributor.pblAmerican Heart Association Inc.
dc.date.accessioned2023-12-12T22:51:25Z
dc.date.available2023-12-12T22:51:25Z
dc.date.issued2023-11-21
dc.descriptionFunding Information: UCIBIO-UID/Multi/04378/2019 also supported by FCT (CEEC Funding Information: This work was financed by Fundação para a Ciência e a Tecnologia (FCT) with PTDC/MEC-NEU/28750/2017 grant, LA/P/0140/2020 funding,iNOVA4Health—UIDB/04462/2020, and UCIBIO-UID/Multi/04378/2019 units. A.S.C. is supported by FCT. R.M. is also supported by FCT (CEEC position, 2019–2025 investigator). Funding Information: This work was financed by Fundação para a Ciência e a Tecnologia (FCT) with PTDC/MEC-NEU/28750/2017 grant, LA/P/0140/2020 funding, Publisher Copyright: © 2023 The Authors.
dc.description.abstractBACKGROUND: Blood biomarkers are a potential tool for early stroke diagnosis. We aimed to perform a pilot and exploratory study on untargeted blood biomarkers in patients with suspected stroke by using mass spectrometry analysis. METHODS AND RESULTS: This was a prospective observational study of consecutive patients with suspected stroke admitted within 6 hours of last being seen well. Blood samples were collected at admission. Patients were divided into 3 groups: ischemic stroke (IS), intracerebral hemorrhage (ICH), and stroke mimics. Quantitative analysis from mass spectrometry data was performed using a supervised approach. Biomarker-based prediction models were developed to differentiate IS from ICH and ICH+stroke mimics. Models were built aiming to minimize misidentification of patients with ICH as having IS. We included 90 patients, one-third within each subgroup. The median age was 71 years (interquartile range, 57–81 years), and 49 participants (54.4%) were women. In quantitative analysis, C3 (complement component 3), ICAM-2 (intercellular adhesion molecule 2), PLGLA (plasminogen like A), STXBP5 (syntaxin-binding protein 5), and IGHV3-64 (immunoglobulin heavy variable 3-64) were the 5 most significantly dysregulated proteins for both comparisons. Biomarker-based models showed 88% sensitivity and 89% negative predictive value for differentiating IS from ICH, and 75% sensitivity and 95% negative predictive value for differentiating IS from ICH+stroke mimics. ICAM-2, STXBP5, PLGLA, C3, and IGHV3-64 displayed the highest importance score in our models, being the most informative for identifying patients with stroke. CONCLUSIONS: In this proof-of-concept and exploratory study, our biomarker-based prediction models, including ICAM-2, STXBP5, PLGLA, C3, and IGHV3-64, showed 75% to 88% sensitivity for identifying patients with IS, while aiming to minimize misclassification of ICH. Although our methodology provided an internal validation, these results still need validation in other cohorts and with different measurement techniques.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent2382472
dc.identifier.doi10.1161/JAHA.123.030021
dc.identifier.issn2047-9980
dc.identifier.otherPURE: 78176833
dc.identifier.otherPURE UUID: 368304ac-08e7-4afc-b24b-b41f6d4278d4
dc.identifier.otherScopus: 85178437525
dc.identifier.otherPubMed: 37947097
dc.identifier.otherORCID: /0000-0002-1422-1336/work/151367301
dc.identifier.otherORCID: /0000-0001-9415-3742/work/151386559
dc.identifier.urihttp://hdl.handle.net/10362/161165
dc.identifier.urlhttps://www.scopus.com/pages/publications/85178437525
dc.language.isoeng
dc.peerreviewedyes
dc.subjectbiomarkers
dc.subjectintracerebral hemorrhage
dc.subjectischemic stroke
dc.subjectproteomics
dc.subjectCardiology and Cardiovascular Medicine
dc.titleProteomics to Identify New Blood Biomarkers for Diagnosing Patients With Acute Strokeen
dc.typejournal article
degois.publication.issue22
degois.publication.titleJournal of the American Heart Association
degois.publication.volume12
dspace.entity.typePublication
person.familyNameMatthiesen
person.givenNameRune
person.identifier1319342
person.identifier.ciencia-idBB1A-A606-EE77
person.identifier.orcid0000-0002-6353-2616
person.identifier.scopus-author-id9741897800
rcaap.rightsopenAccess
relation.isAuthorOfPublication67181d3c-b83e-4151-9a74-0ea14aeb7f05
relation.isAuthorOfPublication.latestForDiscovery67181d3c-b83e-4151-9a74-0ea14aeb7f05

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