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Revisiting IgG antibody reactivity to epstein-barr virus in myalgic encephalomyelitis/chronic fatigue syndrome and Its potential application to disease diagnosis

dc.contributor.authorSepúlveda, Nuno
dc.contributor.authorMalato, João
dc.contributor.authorSotzny, Franziska
dc.contributor.authorGrabowska, Anna D.
dc.contributor.authorFonseca, André
dc.contributor.authorCordeiro, Clara
dc.contributor.authorGraça, Luís
dc.contributor.authorBiecek, Przemyslaw
dc.contributor.authorBehrends, Uta
dc.contributor.authorMautner, Josef
dc.contributor.authorWestermeier, Francisco
dc.contributor.authorLacerda, Eliana M.
dc.contributor.authorScheibenbogen, Carmen
dc.date.accessioned2022-12-16T13:01:39Z
dc.date.available2022-12-16T13:01:39Z
dc.date.issued2022
dc.description.abstractInfections by the Epstein-Barr virus (EBV) are often at the disease onset of patients suffering from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). However, serological analyses of these infections remain inconclusive when comparing patients with healthy controls (HCs). In particular, it is unclear if certain EBV-derived antigens eliciting antibody responses have a biomarker potential for disease diagnosis. With this purpose, we re-analyzed a previously published microarray data on the IgG antibody responses against 3,054 EBV-related antigens in 92 patients with ME/CFS and 50 HCs. This re-analysis consisted of constructing different regression models for binary outcomes with the ability to classify patients and HCs. In these models, we tested for a possible interaction of different antibodies with age and gender. When analyzing the whole data set, there were no antibody responses that could distinguish patients from healthy controls. A similar finding was obtained when comparing patients with non-infectious or unknown disease trigger with healthy controls. However, when data analysis was restricted to the comparison between HCs and patients with a putative infection at their disease onset, we could identify stronger antibody responses against two candidate antigens (EBNA4_0529 and EBNA6_0070). Using antibody responses to these two antigens together with age and gender, the final classification model had an estimated sensitivity and specificity of 0.833 and 0.720, respectively. This reliable case-control discrimination suggested the use of the antibody levels related to these candidate viral epitopes as biomarkers for disease diagnosis in this subgroup of patients. To confirm this finding, a follow-up study will be conducted in a separate cohort of patients.pt_PT
dc.description.sponsorshipPPN/ULM/2020/1/00069/U/00001; SCIO Charity Number SC036942; (ref. NIH 2R01AI103629) ; Grant PF8947_ME Association
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3389/fmed.2022.921101pt_PT
dc.identifier.eissn2296-858X
dc.identifier.urihttp://hdl.handle.net/10400.1/18649
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFrontiers Media SApt_PT
dc.relationCentre of Statistics and its Applications
dc.relationRegulatory T cells and their role on the aetiology of Myalgic encephalomyelitis/chronic fatigue syndrome
dc.relationAnalysis of high-throughput antibody data for better understanding of immunogenetics and epidemiology of malaria
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEpstein-Barr viruspt_PT
dc.subjectMyalgic encephalomyelitispt_PT
dc.subjectChronic fatigue syndromept_PT
dc.subjectAntigen mimicrypt_PT
dc.subjectBiomarker discoverypt_PT
dc.subjectPatient stratificationpt_PT
dc.titleRevisiting IgG antibody reactivity to epstein-barr virus in myalgic encephalomyelitis/chronic fatigue syndrome and Its potential application to disease diagnosispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre of Statistics and its Applications
oaire.awardTitleRegulatory T cells and their role on the aetiology of Myalgic encephalomyelitis/chronic fatigue syndrome
oaire.awardTitleAnalysis of high-throughput antibody data for better understanding of immunogenetics and epidemiology of malaria
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00006%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F149758%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F147629%2F2019/PT
oaire.citation.titleFrontiers in Medicinept_PT
oaire.citation.volume9pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamOE
person.familyNameFonseca
person.familyNameHenrique Cordeiro
person.givenNameAndré Filipe Afonso de Sousa
person.givenNameClara Maria
person.identifier.ciencia-id0B1D-8695-6ADB
person.identifier.ciencia-idC71E-21A1-E882
person.identifier.orcid0000-0002-1026-6078
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication7e0bbaff-c584-461a-84e2-54f2a6c15876
relation.isAuthorOfPublication.latestForDiscoveryc242bab5-7d06-4b31-9fae-98447f5e2b96
relation.isProjectOfPublication100e6d17-2f76-4282-b864-d0f887b34243
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