Multiomics profiling of kidney transplant biopsies

  • Hilal Varol

Research output: Types of ThesisDoctoral ThesisInternal

19 Downloads (Pure)

Abstract

Kidney transplant rejection is a major challenge in transplant medicine, and accurate diagnosis is essential for guiding therapy and monitoring graft health. This thesis aims to improve the diagnostic evaluation of kidney transplant biopsies by integrating advanced molecular and multiplex immunohistochemical approaches alongside traditional histopathology. Using multiplex immunofluorescence (mIF) staining and transcriptomic profiling with the Banff-Human Organ Transplant (B-HOT) panel, this research explores the immune cell composition and gene expression profiles in different rejection phenotypes.

The work reveals that mIF can effectively identify and localize key immune cell populations—including T cells, B cells, macrophages, and mast cells—within the tissue, enhancing the visualization of complex immune responses. Complementary transcriptomic analyses provide insights into gene expression signatures associated with various rejection types and transplant injuries, including challenging cases like transplant glomerulopathy with ambiguous histological features. These combined methods help to uncover novel patterns and relationships that may not be evident through standard microscopy alone.

By merging molecular and histological data, this thesis demonstrates the potential to refine the interpretation of kidney transplant biopsies. This integrated approach contributes to a more precise and reproducible diagnostic framework, supporting better understanding of rejection mechanisms and offering a valuable resource for both pathologists and the transplant community in the pursuit of improved transplant outcomes.
Original languageEnglish
Awarding Institution
  • Erasmus University Rotterdam
Supervisors/Advisors
  • Hoogduijn, Martin, Supervisor
  • van Groningen, Marian, Co-supervisor
  • Stubbs, Andrew, Co-supervisor
  • Kramann, Rafael, Co-supervisor
Award date14 Oct 2025
Place of PublicationRotterdam
Publication statusPublished - 14 Oct 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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