Gene Expression Profile in Delay Graft Function: Inflammatory Markers Are Associated with Recipient and Donor Risk Factors

Overview

Journal Mediators Inflamm

Publisher Wiley

Specialties Biochemistry
Pathology

Date 2014 Jun 25

PMID 24959002

Citations 5

Authors

Diego Guerrieri

Luis Re

Jorgelina Petroni

Nella Ambrosi

Roxana E Pilotti

H Eduardo Chuluyan

Domingo Casadei

Claudio Incardona

Affiliations

Soon will be listed here.

Abstract

Background: Delayed graft function (DGF) remains an important problem after kidney transplantation and reduced long-term graft survival of the transplanted organ. The aim of the present study was to determine if the development of DGF was associated with a specific pattern of inflammatory gene expression in expanded criteria of deceased donor kidney transplantation. Also, we explored the presence of correlations between DGF risk factors and the profile that was found.

Methods: Seven days after kidney transplant, a cDNA microarray was performed on biopsies of graft from patients with and without DGF. Data was confirmed by real-time PCR. Correlations were performed between inflammatory gene expression and clinical risk factors.

Results: From a total of 84 genes analyzed, 58 genes were upregulated while only 1 gene was downregulated in patients with DGF compared with no DGF (P = 0.01). The most relevant genes fold changes observed was IFNA1, IL-10, IL-1F7, IL-1R1, HMOX-1, and TGF-β. The results were confirmed for IFNA1, IL-1R1, HMOX-1 and TGF-β. A correlation was observed between TGF-β, donor age, and preablation creatinine, but not body mass index (BMI). Also, TGF-β showed an association with recipient age, while IFNA1 correlated with recipient BMI. Furthermore, TGF-β, IFNA1 and HMOX-1 correlated with several posttransplant kidney function markers, such as diuresis, ultrasound Doppler, and glycemia.

Conclusions: Overall, the present study shows that DGF is associated with inflammatory markers, which are correlated with donor and recipient DGF risk factors.

Citing Articles

Pretransplant kidney transcriptome captures intrinsic donor organ quality and predicts 24-month outcomes.

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Identifying Biomarkers from Transcriptomic Signatures in Renal Allograft Biopsies Using Deceased and Living Donors.

Yang B, Sylvius N, Luo J, Yang C, Da Z, Crotty C Front Immunol. 2021; 12:657860.

PMID: 34276651 PMC: 8282197. DOI: 10.3389/fimmu.2021.657860.

Ambient air pollution and posttransplant outcomes among kidney transplant recipients.

Feng Y, Jones M, Ahn J, Garonzik-Wang J, Segev D, McAdams-DeMarco M Am J Transplant. 2021; 21(10):3333-3345.

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Corin Is Downregulated in Renal Ischemia/Reperfusion Injury and Is Associated with Delayed Graft Function after Kidney Transplantation.

Hu X, Su M, Lin J, Zhang L, Sun W, Zhang J Dis Markers. 2019; 2019:9429323.

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Peripheral Blood Gene Expression Changes Associated With Primary Graft Dysfunction After Lung Transplantation.

Diamond J, Cantu E, Porteous M, Suzuki Y, Meyer K, Lederer D Am J Transplant. 2017; 17(7):1770-1777.

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