Publication:
Computer-Assisted Definition of the Inflammatory Infiltrates in Patients With Different Categories of Banff Kidney Allograft Rejection.

dc.contributor.authorAguado-Domínguez, Elena
dc.contributor.authorCabrera-Pérez, Rocío
dc.contributor.authorSuarez-Benjumea, Alejandro
dc.contributor.authorAbad-Molina, Cristina
dc.contributor.authorNúñez-Roldán, Antonio
dc.contributor.authorAguilera, Isabel
dc.date.accessioned2023-02-08T14:37:57Z
dc.date.available2023-02-08T14:37:57Z
dc.date.issued2019-11-08
dc.description.abstractCurrently, the diagnosis of kidney allograft rejection relies on individual histological assessments made by expert pathologists according to the Banff classification. In this study, we applied new Computer-Assisted System Technology (newCAST™) by Visiopharm® with the aim of identifying and quantifying the immune cells in inflammatory infiltrates. We searched for distinctive cellular profiles that could be assigned to each rejection category of the Banff schema: antibody-mediated rejection (active and chronic active), borderline, T cell-mediated rejection (TCMR), and mixed rejection. This study was performed with 49 biopsy samples, 42 from patients with rejection and 7 from patients with clinical signs of dysfunction but an absence of histological findings of rejection. Plasma cells, B and T lymphocytes, natural killer cells, and macrophages, with a special focus on the M1 and M2 subsets, were studied. A major difference among the Banff rejection groups was in the total amount of cells/mm2 tissue. Principal component analysis identified some distinctive associations. The borderline category grouped with CD4+ lymphocytes and M1 macrophages, and active antibody-mediated rejection (aAMR) clustered with natural killer cells. Despite these findings, the search for characteristic profiles linked to the rejection types proved to be a very difficult task since the cellular composition varied significantly among individuals within the same diagnostic category. The results of this study will be analyzed from the perspective of reconciling the classic way of diagnosing rejection and the immune situation "in situ" at the time of diagnosis.
dc.identifier.doi10.3389/fimmu.2019.02605
dc.identifier.essn1664-3224
dc.identifier.pmcPMC6856956
dc.identifier.pmid31781108
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856956/pdf
dc.identifier.unpaywallURLhttps://www.frontiersin.org/articles/10.3389/fimmu.2019.02605/pdf
dc.identifier.urihttp://hdl.handle.net/10668/14768
dc.journal.titleFrontiers in immunology
dc.journal.titleabbreviationFront Immunol
dc.language.isoen
dc.organizationInstituto de Biomedicina de Sevilla-IBIS
dc.organizationHospital Universitario Virgen del Rocío
dc.page.number2605
dc.pubmedtypeJournal Article
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectM1 macrophages
dc.subjectantibody-mediated rejection
dc.subjectbanff kidney classification
dc.subjectbiopsy findings
dc.subjectborderline diagnostic
dc.subjectinflammatory infiltrate
dc.subjectnewCAST
dc.subject.meshAdolescent
dc.subject.meshAdult
dc.subject.meshAged
dc.subject.meshAllografts
dc.subject.meshAntibodies
dc.subject.meshB-Lymphocytes
dc.subject.meshChild
dc.subject.meshDiagnosis, Computer-Assisted
dc.subject.meshFemale
dc.subject.meshGraft Rejection
dc.subject.meshHumans
dc.subject.meshInflammation
dc.subject.meshKidney Transplantation
dc.subject.meshKiller Cells, Natural
dc.subject.meshMacrophages
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshPhenotype
dc.subject.meshPlasma Cells
dc.subject.meshT-Lymphocytes
dc.subject.meshYoung Adult
dc.titleComputer-Assisted Definition of the Inflammatory Infiltrates in Patients With Different Categories of Banff Kidney Allograft Rejection.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number10
dspace.entity.typePublication

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