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Predicting cellular rejection of renal allograft based on the serum proteomic fingerprint

2024-03-29Journal article Open access
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dc.contributor.authorRamalhete, Luís
dc.contributor.authorVieira, Miguel Bigotte
dc.contributor.authorAraújo, Rúben
dc.contributor.authorVigia, Emanuel
dc.contributor.authorAires, Inês
dc.contributor.authorFerreira, Aníbal
dc.contributor.authorCalado, Cecília
dc.date.accessioned2024-11-04T14:40:37Z
dc.date.available2024-11-04T14:40:37Z
dc.date.issued2024-03-29
dc.description.abstractKidney transplantation is an essential medical procedure that significantly enhances the survival rates and quality of life for patients with end-stage kidney disease. However, despite advancements in immunosuppressive therapies, allograft rejection remains a leading cause of organ loss. Notably, predictions of cellular rejection processes primarily rely on biopsy analysis, which is not routinely performed due to its invasive nature. The present work evaluates if the serum proteomic fingerprint, as acquired by Fourier Transform Infrared (FTIR) spectroscopy, can predict cellular rejection processes. We analyzed 28 serum samples, corresponding to 17 without cellular rejection processes and 11 associated with cellular rejection processes, as based on biopsy analyses. The leave-one-out-cross validation procedure of a Naïve Bayes model enabled the prediction of cellular rejection processes with high sensitivity and specificity (AUC > 0.984). The serum proteomic profile was obtained in a high-throughput mode and based on a simple, rapid, and economical procedure, making it suitable for routine analyses and large-scale studies. Consequently, the current method presents a high potential to predict cellular rejection processes translatable to clinical scenarios, and that should continue to be explored.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRamalhete, Luís; Vieira, Miguel Bigotte; Araújo, Rúben; Vigia, Emanuel; Aires, Inês; Ferreira, Aníbal; Calado, Cecília R. C. – Predicting cellular rejection of renal allograft based on the serum proteomic fingerprint. International Journal of Molecular Sciences, 2024, 25(7), 3844; https://doi.org/10.3390/ijms25073844pt_PT
dc.identifier.doi10.3390/ijms25073844pt_PT
dc.identifier.issn1422-0067
dc.identifier.urihttp://hdl.handle.net/10400.21/17830
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationNeproMD/ISEL/2020 - Instituto Politécnico de Lisboa (IPL)pt_PT
dc.relation.publisherversionhttps://www.mdpi.com/1422-0067/25/7/3844pt_PT
dc.subjectkidney allograftpt_PT
dc.subjectcellular rejectionpt_PT
dc.subjectproteomic fingerprintpt_PT
dc.subjectFTIR spectroscopypt_PT
dc.titlePredicting cellular rejection of renal allograft based on the serum proteomic fingerprintpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0117%2F2020/PT
oaire.citation.endPage11pt_PT
oaire.citation.issue7pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleInternational Journal of Molecular Sciencespt_PT
oaire.citation.volume25pt_PT
oaire.fundingStream3599-PPCDT
person.familyNameRamalhete
person.familyNameBigotte Vieira
person.familyNameAraújo
person.familyNameVigia
person.familyNameAntunes Ferreira
person.familyNameCalado
person.givenNameLuís
person.givenNameMiguel
person.givenNameRúben Alexandre Dinis
person.givenNameEmanuel
person.givenNameManuel Aníbal
person.givenNameCecília
person.identifier2296066
person.identifier591378
person.identifier130332
person.identifier.ciencia-idDF19-022D-AA10
person.identifier.ciencia-idFF17-2C76-E2CC
person.identifier.ciencia-id9A18-BFDC-ED95
person.identifier.ciencia-idE918-DF3E-1A17
person.identifier.ciencia-id2E10-C387-4982
person.identifier.ciencia-id9418-E320-3177
person.identifier.orcid0000-0002-8911-3380
person.identifier.orcid0000-0003-0528-2716
person.identifier.orcid0000-0002-9369-6486
person.identifier.orcid0000-0002-4525-9062
person.identifier.orcid0000-0002-3300-6033
person.identifier.orcid0000-0002-5264-9755
person.identifier.ridV-4629-2018
person.identifier.ridE-2102-2014
person.identifier.scopus-author-id57208672678
person.identifier.scopus-author-id57192837006
person.identifier.scopus-author-id6603163260
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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