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Use of biochemical tests and machine learning in the search for potential diagnostic biomarkers of COVID-19, HIV/AIDS, and pulmonary tuberculosis

2024-02Journal article Open access
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dc.contributor.authorCobre, Alexandre
dc.contributor.authorMorais, Amiel
dc.contributor.authorSelege, Fosfato
dc.contributor.authorStremel, Dile
dc.contributor.authorWiens, Astrid
dc.contributor.authorFerreira, Luana
dc.contributor.authorTonin, Fernanda
dc.contributor.authorPontarolo, Roberto
dc.date.accessioned2024-03-05T12:56:32Z
dc.date.available2024-03-05T12:56:32Z
dc.date.issued2024-02
dc.descriptionThe authors express their gratitude to the Brazilian National Council of Technological and Scientific Development (CNPq) and CAPES (Brazilian Federal Agency for Support and Evaluation of Graduate Education within the Ministry of Education of Brazil) for research funding - Finance Code 001.pt_PT
dc.description.abstractThis study aims to develop, validate, and evaluate machine learning algorithms for predicting the diagnosis of coronavirus disease (COVID-19), human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), pulmonary tuberculosis (TB), and HIV/TB co-infection. We also investigated potential biomarkers associated with the diagnosis. Data from biochemical and hematological tests of infected and controls were collected in a single general hospital, totalizing 6,418 patients. The discriminant analysis by partial least squares (PLS-DA) model had the highest performance in predicting the diagnosis of COVID-19, HIV/AIDS, TB, and HIV/TB co-infection with an accuracy of 94, 97, 95, and 96%, respectively. The biomarkers calcium, lactate dehydrogenase, red blood cells (RBC), white blood cells, neutrophils, basophils, eosinophils, hemoglobin, and hematocrit were associated with COVID-19. HIV infection was associated with mean corpuscular volume, platelets, neutrophils, and mean platelet volume. Red blood cell distribution width and urea were associated with infection by Mycobacterium tuberculosis. The following biomarkers were associated with HIV/TB co-infection: lymphocytes, RBC, hematocrit, hemoglobin, aspartate transaminase, alanine transaminase, and glycemia. The PLS-DA model can optimize COVID-19, HIV/AIDS, TB, and HIV/TB co-infection diagnostics. Some biomarkers were potential diagnostic indicators and could be evaluated during the screening of these diseases.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCobre AF, Morais AA, Selege F, Stremel DP, Wiens A, Tonin FS, et al. Use of biochemical tests and machine learning in the search for potential diagnostic biomarkers of COVID-19, HIV/AIDS, and pulmonary tuberculosis. J Braz Chem Soc. 2024;35(7):20240020.pt_PT
dc.identifier.doi10.21577/0103-5053.20240020pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/17177
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherUNICAMPpt_PT
dc.relation.publisherversionhttps://jbcs.sbq.org.br/pdf/2023-0129ARpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectCOVID-19pt_PT
dc.subjectHIV infectionpt_PT
dc.subjectAIDSpt_PT
dc.subjectTuberculosispt_PT
dc.subjectCo-infectionpt_PT
dc.subjectDiagnosispt_PT
dc.subjectMachine learningpt_PT
dc.titleUse of biochemical tests and machine learning in the search for potential diagnostic biomarkers of COVID-19, HIV/AIDS, and pulmonary tuberculosispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue7pt_PT
oaire.citation.startPage20240020pt_PT
oaire.citation.titleJournal of the Brazilian Chemical Societypt_PT
oaire.citation.volume35pt_PT
person.familyNameTonin
person.givenNameFernanda
person.identifier.ciencia-idD01C-C700-9411
person.identifier.orcid0000-0003-4262-8608
person.identifier.ridO-2050-2017
person.identifier.scopus-author-id56085115800
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication61ded30e-ecec-4b3e-b953-2293e080ebdd
relation.isAuthorOfPublication.latestForDiscovery61ded30e-ecec-4b3e-b953-2293e080ebdd

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