Assessment of biological organ age using molecular pathology in pre-transplant kidney biopsies.

Transplantation ageing deceased circulatory death donor retrieval biopsy transcriptomics

Journal

Kidney international
ISSN: 1523-1755
Titre abrégé: Kidney Int
Pays: United States
ID NLM: 0323470

Informations de publication

Date de publication:
29 Apr 2024
Historique:
received: 31 01 2023
revised: 21 01 2024
accepted: 18 03 2024
medline: 2 5 2024
pubmed: 2 5 2024
entrez: 1 5 2024
Statut: aheadofprint

Résumé

Organ shortage is a major challenge in kidney transplantation but the use of older donors, often with co-morbidities, is hampered by inconsistent outcomes. Methods of accurately stratifying marginal donor organs by clinical and histological assessment are lacking. To better understand organ variability, we profiled the transcriptomes of 271 kidneys from deceased donors at retrieval. Following correction for biopsy composition, we assessed molecular pathways that associated with delayed, and sub-optimal one-year graft function. Analysis of cortical biopsies identified an adaptive immune gene-rich module that significantly associated with increasing age and worse outcomes. Cellular deconvolution using human kidney reference single cell transcriptomes confirmed an increase in kidney-specific B and T cell signatures, as well as kidney macrophage, myofibroblast and fibroblast gene sets in this module. Surprisingly, innate immune pathway and neutrophil gene signature enrichment was associated with better outcomes. Thus, our work uncovers cellular molecular features of pathological organ ageing, identifiable at kidney retrieval, with translational potential.

Identifiants

pubmed: 38692408
pii: S0085-2538(24)00311-9
doi: 10.1016/j.kint.2024.03.028
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Roy Zhang (R)

Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK.

Patrick B Trotter (PB)

Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK.

James McCaffrey (J)

Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK; Department of Pathology, Cambridge Universities NHS Foundation Trust, Cambridge, UK.

Rory Fitzroy (R)

Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK.

Giorgio Trivioli (G)

Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK.

Benjamin J Stewart (BJ)

Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK; Cellular Genetics, Wellcome Sanger Institute, Hinxton, UK.

John R Ferdinand (JR)

Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK.

Kevin W Loudon (KW)

Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK.

Alexandra Riding (A)

Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK.

Jonathan West (J)

Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK.

Ashley Ferro (A)

Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK.

Menna R Clatworthy (MR)

Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK; Cellular Genetics, Wellcome Sanger Institute, Hinxton, UK. Electronic address: mrc38@cam.ac.uk.

Classifications MeSH