Molecular Fingerprints of Borderline Changes in Kidney Allografts Are Influenced by Donor Category

The fate of transplanted kidneys is substantially influenced by graft quality, with transplantation of kidneys from elderly and expanded criteria donors (ECDs) associated with higher occurrence of delayed graft function, rejection, and inferior long-term outcomes. However, little is known about early molecular fingerprints of these events in different donor categories. Borderline changes represent the most frequent histological finding early after kidney transplantation. Therefore, we examined outcomes and transcriptomic profiles of early-case biopsies diagnosed as borderline changes in different donor categories. In this single-center, retrospective, observational study, we compared midterm outcomes of kidney transplant recipients with early borderline changes as a first pathology between ECD (n = 109), standard criteria donor (SCDs, n = 109), and living donor (LD, n = 51) cohorts. Intragraft gene expression profiling by microarray was performed in part of these ECD, SCD, and LD cohorts. Although 5 year graft survival in patients with borderline changes in early-case biopsies was not influenced by donor category (log-rank P = 0.293), impaired kidney graft function (estimated glomerular filtration rate by Chronic Kidney Disease Epidemiology Collaboration equation) at M3, 1, 2, and 3 years was observed in the ECD cohort (P < 0.001). Graft biopsies from ECD donors had higher vascular intimal fibrosis and arteriolar hyalinosis compared to SCD and LD (P < 0.001), suggesting chronic vascular changes. Increased transcripts typical for ECD, as compared to both LD and SCD, showed enrichment of the inflammatory, defense, and wounding responses and the ECM–receptor interaction pathway. Additionally, increased transcripts in ECD vs. LD showed activation of complement and coagulation and cytokine–cytokine receptor pathways along with platelet activation and cell cycle regulation. Comparative gene expression overlaps of ECD, SCD, and LD using Venn diagrams found 64 up- and 16 down-regulated genes in ECD compared to both LD and SCD. Shared increased transcripts in ECD vs. both SCD and LD included thrombospondin-2 (THBS2), angiopoietin-like 4 (ANGPTL4), collagens (COL6A3, COL1A1), chemokine CCL13, and interleukin IL11, and most significantly, down-regulated transcripts included proline-rich 35 (PRR35) and fibroblast growth factor 9. Early borderline changes in ECD kidney transplantation are characterized by increased regulation of inflammation, extracellular matrix remodeling, and acute kidney injury transcripts in comparison with both LD and SCD grafts.

[1]  Ron Edgar,et al.  NCBI gene expression and hybridization array data repository , 2020 .

[2]  H. Cardinal,et al.  Organ donor management and delayed graft function in kidney transplant recipients: A multicenter retrospective cohort study , 2018, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[3]  Y. H. Kim,et al.  Kidney Transplantation Using Expanded-Criteria Deceased Donors: A Comparison With Ideal Deceased Donors and Non-Expanded-Criteria Deceased Donors. , 2018, Transplantation proceedings.

[4]  S. V. Heesch,et al.  IL-11 is a crucial determinant of cardiovascular fibrosis , 2017, Nature.

[5]  M. Delgado-Rodríguez,et al.  Systematic review and meta-analysis. , 2017, Medicina intensiva.

[6]  H. Hackl,et al.  Identification of the activating cytotoxicity receptor NKG2D as a senescence marker in zero-hour kidney biopsies is indicative for clinical outcome. , 2017, Kidney international.

[7]  F. Macário,et al.  Long-Term Outcomes of Kidney Transplantation From Expanded-Criteria Deceased Donors: A Single-Center Experience. , 2017, Transplantation proceedings.

[8]  F. Dekker,et al.  Increased risk of graft failure and mortality in Dutch recipients receiving an expanded criteria donor kidney transplant , 2017, Transplant international : official journal of the European Society for Organ Transplantation.

[9]  C. Combescure,et al.  Comparison of survival outcomes between Expanded Criteria Donor and Standard Criteria Donor kidney transplant recipients: a systematic review and meta‐analysis , 2016, Transplant international : official journal of the European Society for Organ Transplantation.

[10]  K. Famulski,et al.  Relationships among injury, fibrosis, and time in human kidney transplants. , 2016, JCI insight.

[11]  O. Viklicky,et al.  Molecular diagnostics identifies risks for graft dysfunction despite borderline histologic changes. , 2015, Kidney international.

[12]  Á. Corbí,et al.  CD163L1 and CLEC5A discriminate subsets of human resident and inflammatory macrophages in vivo , 2015, Journal of leukocyte biology.

[13]  B. Li,et al.  Angiopoietin-Like-4, a Potential Target of Tacrolimus, Predicts Earlier Podocyte Injury in Minimal Change Disease , 2015, PloS one.

[14]  A. Heinzel,et al.  Molecular Pathogenesis of Post-Transplant Acute Kidney Injury: Assessment of Whole-Genome mRNA and MiRNA Profiles , 2014, PloS one.

[15]  Y. S. Kim,et al.  Long-term outcomes of kidney transplantation from expanded criteria deceased donors at a single center: comparison with standard criteria deceased donors. , 2014, Transplantation proceedings.

[16]  F. Zelezný,et al.  Tubular Atrophy and Low Netrin-1 Gene Expression Are Associated With Delayed Kidney Allograft Function , 2014, Transplantation.

[17]  O. Viklicky,et al.  Identification of Expanded-Criteria Donor Kidney Grafts at Lower Risk of Delayed Graft Function , 2013, Transplantation.

[18]  K. Famulski,et al.  Comparing Molecular Assessment of Implantation Biopsies With Histologic and Demographic Risk Assessment , 2013, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[19]  K. Famulski,et al.  Molecular phenotypes of acute kidney injury in kidney transplants. , 2012, Journal of the American Society of Nephrology : JASN.

[20]  U. Maggiore,et al.  Low-density array PCR analysis of reperfusion biopsies: an adjunct to histological analysis. , 2010, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[21]  A. Pascher,et al.  Novel Markers in Zero-Hour Kidney Biopsies Indicate Graft Quality and Clinical Outcome , 2010, Transplantation.

[22]  A. Scherer,et al.  Meta‐Analyses Qualify Metzincins and Related Genes as Acute Rejection Markers in Renal Transplant Patients , 2010, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[23]  R. Baker,et al.  Acceptable Outcome After Kidney Transplantation Using “Expanded Criteria Donor” Grafts , 2010, Transplantation.

[24]  A. Ojo,et al.  The alphabet soup of kidney transplantation: SCD, DCD, ECD--fundamentals for the practicing nephrologist. , 2009, Clinical journal of the American Society of Nephrology : CJASN.

[25]  D. Droz,et al.  A Simple Clinico‐Histopathological Composite Scoring System Is Highly Predictive of Graft Outcomes in Marginal Donors , 2008, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[26]  Joseph A. Cruz,et al.  The Transcriptome of the Implant Biopsy Identifies Donor Kidneys at Increased Risk of Delayed Graft Function , 2007, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[27]  Robert M. Merion,et al.  Donor characteristics associated with reduced graft survival: an approach to expanding the pool of kidney donors1 , 2002, Transplantation.

[28]  A. Demetris,et al.  Biopsy of marginal donor kidneys: correlation of histologic findings with graft dysfunction. , 2000, Transplantation.

[29]  D F DAVIES,et al.  Age changes in glomerular filtration rate, effective renal plasma flow, and tubular excretory capacity in adult males. , 1950, The Journal of clinical investigation.

[30]  M. Scian,et al.  Pretransplant Transcriptome Profiles Identify among Kidneys with Delayed Graft Function Those with Poorer Quality and Outcome , 2011, Molecular medicine.

[31]  D. Goldfarb,et al.  Donor characteristics associated with reduced graft survival: an approach to expanding the pool of kidney donors. , 2003, The Journal of urology.

[32]  Alex E. Lash,et al.  Gene Expression Omnibus: NCBI gene expression and hybridization array data repository , 2002, Nucleic Acids Res..