A Reproducible Pre-Transplant γδ T-cell Effector Signature Reveals Immune-Metabolic Programs Associated with Kidney Allograft Rejection

Despite optimized immunosuppression, acute kidney transplant rejection affects 10-20% of recipients within the first year, and no reliable pre-transplant molecular test exists to identify patients at high risk, independent of the donor HLA matching. Across three independent cohorts of kidney transplant recipients, profiled by bulk RNA-sequencing with T-cell receptor repertoire analysis, flow cytometry, CyTOF with paired metabolomics, we identified a reproducible depletion of γδ T cells associated with rejection: an elevated αβ/γδ T cell ratio in two post-transplant, biopsy-matched cohorts, and depletion of specific γδ T effector clusters in a third, longitudinally sampled cohort. In this third cohort, γδ T cell depletion was already present at the pre-transplant baseline in patients who subsequently developed rejection and remained detectable across the transplant course, indicating that it reflects recipient baseline immune biology rather than a consequence of graft injury. Longitudinal metabolomic profiling in this cohort identified time-dependent metabolic changes, including in amino acid metabolism that co-occur with the γδ signature and converge with it upon multi-omics integration. At the pre-transplant baseline, γδ T-cell marker expression alone showed exploratory discriminatory value for rejection risk (AUC = 0.69), improving marginally when integrated with metabolomic features (AUC = 0.71); larger prospective studies will be needed before clinical translation.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-03
DOI
https://doi.org/10.64898/2026.10.31.763223
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
preprint
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preprint

A Reproducible Pre-Transplant γδ T-cell Effector Signature Reveals Immune-Metabolic Programs Associated with Kidney Allograft Rejection

Matthew H. Spitzer, Joël Babdor, Minnie Sarwal, Tara K. Sigdel et al.
bioRxiv (Cold Spring Harbor Laboratory)
Renal Transplantation Outcomes and Treatments
preprint

A Reproducible Pre-Transplant γδ T-cell Effector Signature Reveals Immune-Metabolic Programs Associated with Kidney Allograft Rejection

Matthew H. Spitzer, Joël Babdor, Minnie Sarwal, Tara K. Sigdel, Sílvia Pineda, Swastika Sur, Kelvin L. Koser, Marina Sirota, Seon Min Kim, Thomas Hoffmann, Oriol Bestard, Troy Koyama
preprint en

Abstract

Despite optimized immunosuppression, acute kidney transplant rejection affects 10-20% of recipients within the first year, and no reliable pre-transplant molecular test exists to identify patients at high risk, independent of the donor HLA matching. Across three independent cohorts of kidney transplant recipients, profiled by bulk RNA-sequencing with T-cell receptor repertoire analysis, flow cytometry, CyTOF with paired metabolomics, we identified a reproducible depletion of γδ T cells associated with rejection: an elevated αβ/γδ T cell ratio in two post-transplant, biopsy-matched cohorts, and depletion of specific γδ T effector clusters in a third, longitudinally sampled cohort. In this third cohort, γδ T cell depletion was already present at the pre-transplant baseline in patients who subsequently developed rejection and remained detectable across the transplant course, indicating that it reflects recipient baseline immune biology rather than a consequence of graft injury. Longitudinal metabolomic profiling in this cohort identified time-dependent metabolic changes, including in amino acid metabolism that co-occur with the γδ signature and converge with it upon multi-omics integration. At the pre-transplant baseline, γδ T-cell marker expression alone showed exploratory discriminatory value for rejection risk (AUC = 0.69), improving marginally when integrated with metabolomic features (AUC = 0.71); larger prospective studies will be needed before clinical translation.

bioRxiv (Cold Spring Harbor Laboratory)
Universidad Complutense de Madrid (ES), University of California, San Francisco (US), Vall d'Hebron Hospital Universitari (ES), University of Pennsylvania (US)
Renal Transplantation Outcomes and Treatments
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