Identification of Differentially Expressed Genes in Cold Storage–associated Kidney Transplantation

Author:

Zhu Jiefu123,Xiang Xiaohong4,Shi Lang5,Song Zhixia6,Dong Zheng3

Affiliation:

1. Department of Transplantation, Renmin Hospital of Wuhan University, Wuhan, China.

2. Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China.

3. Department of Cellular Biology and Anatomy, Medical College of Georgia at Augusta University and Charlie Norwood Veteran Affairs Medical Center, Augusta, GA.

4. Department of Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.

5. Department of Nephrology, Renmin Hospital of Wuhan University, Wuhan, China.

6. Department of Nephrology, The First Clinical Medical College of Three Gorges University, Center People’s Hospital of Yichang, Yichang, Hubei, China.

Abstract

Background. Although it is acknowledged that ischemia–reperfusion injury is the primary pathology of cold storage–associated kidney transplantation, its underlying mechanism is not well elucidated. Methods. To extend the understanding of molecular events and mine hub genes posttransplantation, we performed bulk RNA sequencing at different time points (24 h, day 7, and day 14) on a murine kidney transplantation model with prolonged cold storage (10 h). Results. In the present study, we showed that genes related to the regulation of apoptotic process, DNA damage response, cell cycle/proliferation, and inflammatory response were steadily elevated at 24 h and day 7. The upregulated gene profiling delicately transformed to extracellular matrix organization and fibrosis at day 14. It is prominent that metabolism-associated genes persistently took the first place among downregulated genes. The gene ontology terms of particular note to enrich are fatty acid oxidation and mitochondria energy metabolism. Correspondingly, the key enzymes of the above processes were the products of hub genes as recognized. Moreover, we highlighted the proximal tubular cell-specific increased genes at 24 h by combining the data with public RNA-Seq performed on proximal tubules. We also focused on ferroptosis-related genes and fatty acid oxidation genes to show profound gene dysregulation in kidney transplantation. Conclusions. The comprehensive characterization of transcriptomic analysis may help provide diagnostic biomarkers and therapeutic targets in kidney transplantation.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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