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Investigating the impact of COVID-19 vaccines on the red blood cell immune function by omics-based approaches

dc.contributor.authorSaraiva, Joana
dc.contributor.authorCoelho, Cristina Valentim
dc.contributor.authorVaz, Fátima
dc.contributor.authorAntunes, Marilia
dc.contributor.authorNeves, Sofia
dc.contributor.authorRicardo, Peliano
dc.contributor.authorAndrade, Odília
dc.contributor.authorMiranda, Armandina
dc.contributor.authorMelo, Aryse
dc.contributor.authorRoque, Carla
dc.contributor.authorGuiomar, Raquel
dc.contributor.authorMohammad, Hamza
dc.contributor.authorSoares, Nelson
dc.contributor.authorPenque, Deborah
dc.date.accessioned2022-12-02T11:10:49Z
dc.date.available2022-12-02T11:10:49Z
dc.date.issued2022-05
dc.description.abstractThe role of red blood cells (RBC) in the immune system is increasingly recognized. However, RBC-derived molecules with an immunomodulatory role in health and disease, as well as in vaccine immunogenicity are still poorly investigated. Taking as a model the emergent COVID-19 vaccines, we aimed to investigate whether vaccines induce proteome and/or metabolome changes in RBCs able to affect T-cell immune activity, as a mechanistic test for vaccine immunization regulated by RBCs. Our ultimate goal is to identify RBC immunomodulators as potential co-adjuvants in the formulation of next-generation vaccines with bolstered efficacy and duration. A biobank of blood samples collected longitudinally under ‘omics’ quality control from subjects (n=39) that underwent vaccination for COVID-19 between April and September 2021 was created. This biobank is associated with extensive clinical data, including demographic data, COVID-19 PCR diagnosis, hematological and vaccine effectivity data. Linear Mixed Models, were used to evaluate the association between biometrical characteristics, health related habits, vaccine technology and vaccine effectivity and hematological parameters, along the different time-points (t0-t4) under study, i.e, before and after (24-72h or 30 days) of the first and second dose of vaccine. Statistical analyses were performed using R software version 4.1.2. Results showed significant differences (p<0.05) before/after vaccination in a set of hematological variables (e.g., hemoglobin, lymphocytes and monocytes values), as well in terms of vaccine effectivity and vaccine technology (mRNA or adenovirus – based vaccines). Preliminary data from proteomics and metabolomics analysis of RBCs along the different time-points (t0-4) of immunization response will be also presented and discussed. The knowledge gained with this project can generate important evidence-based recommendations intended to optimize vaccine immunization, by recognizing the impact of blood cells such RBCs in the immune system regulation.pt_PT
dc.description.sponsorshipSupported by INSARJ and Toxomics FCT grants.pt_PT
dc.description.sponsorshipinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FBIM%2F00009%2F2013/PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.18/8367
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttps://bitok.datastore.pt/scimeet-prod/cms/proteo-vilamoura.sci-meet.net/2ea9f866-0e51-4cfc-9e7c-10ed31aefabb/ProteoVilamoura_BookOfAbstracts_low.pdfpt_PT
dc.subjectCOVID-19pt_PT
dc.subjectCOVID-19 Vaccinespt_PT
dc.subjectRBC immunomodulatorspt_PT
dc.subjectRole of Red Blood Cellspt_PT
dc.subjectGenómica Funcionalpt_PT
dc.subjectGenómica Funcional e Estruturalpt_PT
dc.titleInvestigating the impact of COVID-19 vaccines on the red blood cell immune function by omics-based approachespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceVilamoura, Portugalpt_PT
oaire.citation.titleProteoVilamoura-2nd Joint Meeting of Spanish, French and Portuguese Proteomics Societies, 11-13 May 2022pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT

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