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Precision transplant pathology.
Wood-Trageser, Michelle A; Xu, Qinyong; Zeevi, Adriana; Randhawa, Parmjeet; Lesniak, Drew; Demetris, Anthony J.
Afiliación
  • Wood-Trageser MA; Thomas E. Starzl Transplantation Institute, University of Pittsburgh.
  • Xu Q; Division of Liver and Transplantation Pathology, Department of Pathology, University of Pittsburgh, Pennsylvania, USA.
  • Zeevi A; Thomas E. Starzl Transplantation Institute, University of Pittsburgh.
  • Randhawa P; Division of Liver and Transplantation Pathology, Department of Pathology, University of Pittsburgh, Pennsylvania, USA.
  • Lesniak D; Thomas E. Starzl Transplantation Institute, University of Pittsburgh.
  • Demetris AJ; Division of Liver and Transplantation Pathology, Department of Pathology, University of Pittsburgh, Pennsylvania, USA.
Curr Opin Organ Transplant ; 25(4): 412-419, 2020 08.
Article en En | MEDLINE | ID: mdl-32520786
PURPOSE OF REVIEW: Transplant pathology contributes substantially to personalized treatment of organ allograft recipients. Rapidly advancing next-generation human leukocyte antigen (HLA) sequencing and pathology are enhancing the abilities to improve donor/recipient matching and allograft monitoring. RECENT FINDINGS: The present review summarizes the workflow of a prototypical patient through a pathology practice, highlighting histocompatibility assessment and pathologic review of tissues as areas that are evolving to incorporate next-generation technologies while emphasizing critical needs of the field. SUMMARY: Successful organ transplantation starts with the most precise pratical donor-recipient histocompatibility matching. Next-generation sequencing provides the highest resolution donor-recipient matching and enables eplet mismatch scores and more precise monitoring of donor-specific antibodies (DSAs) that may arise after transplant. Multiplex labeling combined with hand-crafted machine learning is transforming traditional histopathology. The combination of traditional blood/body fluid laboratory tests, eplet and DSA analysis, traditional and next-generation histopathology, and -omics-based platforms enables risk stratification and identification of early subclinical molecular-based changes that precede a decline in allograft function. Needs include software integration of data derived from diverse platforms that can render the most accurate assessment of allograft health and needs for immunosuppression adjustments.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trasplante de Órganos / Medicina de Precisión Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Curr Opin Organ Transplant Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trasplante de Órganos / Medicina de Precisión Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Curr Opin Organ Transplant Año: 2020 Tipo del documento: Article