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Quantifying donor-recipient mismatches using recipient-derived sources of donor DNA.

medRxiv : the preprint server for health sciences·2026
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APOL1-risk alleles modulate T-cell receptor signaling to promote allograft rejection.

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Updated: Aug 10, 2025

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Allograft tissue under the microscope: only the beginning.

Sarthak Virmani1, Arundati Rao, Madhav C Menon

  • 1Section of Nephrology, Division of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.

Current Opinion in Organ Transplantation
|February 14, 2023
PubMed
Summary
This summary is machine-generated.

Novel methods like Artificial Intelligence (AI) and advanced transcriptomics complement the Banff schema for kidney allograft biopsy analysis, improving prognostication beyond traditional histology. These advanced techniques offer deeper insights into allograft health and rejection mechanisms.

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Area of Science:

  • Nephrology
  • Pathology
  • Computational Biology

Background:

  • The Banff schema standardizes kidney allograft histology but has limitations in prognostication due to sampling error and lack of automated analysis.
  • Emerging technologies offer new ways to interrogate allograft biopsies, potentially overcoming limitations of current methods.

Conclusions:

  • Newer modalities significantly enhance the interrogation of kidney allograft biopsies.
  • While promising, the clinical application of these advanced techniques is currently limited by cost and logistics.
  • These methods represent the future of allograft tissue analysis, offering improved prognostication and mechanistic insights.