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Identifying Biomarkers from Transcriptomic Signatures in Renal Allograft Biopsies Using Deceased and Living Donors.
Yang, Bin; Sylvius, Nicolas; Luo, Jinli; Yang, Cheng; Da, Zhanyun; Crotty, Charlottelrm; Nicholson, Michael L.
Afiliação
  • Yang B; Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom.
  • Sylvius N; Research and Innovation, University Hospitals of Leicester, Leicester, United Kingdom.
  • Luo J; Nantong-Leicester Joint Institute of Kidney Science, Department of Nephrology, Affiliated Hospital of Nantong University, Nantong, China.
  • Yang C; Genomics Core Facility, University of Leicester, Leicester, United Kingdom.
  • Da Z; Bioinformatics and Biostatistics Support Hub Leicester, University of Leicester, Leicester, United Kingdom.
  • Crotty C; Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Nicholson ML; Shanghai Key Laboratory of Organ Transplantation, Shanghai, China.
Front Immunol ; 12: 657860, 2021.
Article em En | MEDLINE | ID: mdl-34276651
The survival of transplant kidneys using deceased donors (DD) is inferior to living donors (LD). In this study, we conducted a whole-transcriptome expression analysis of 24 human kidney biopsies paired at 30 minutes and 3 months post-transplantation using DD and LD. The transcriptome profile was found significantly different between two time points regardless of donor types. There were 446 differentially expressed genes (DEGs) between DD and LD at 30 minutes and 146 DEGs at 3 months, with 25 genes common to both time points. These DEGs reflected donor injury and acute immune responses associated with inflammation and cell death as early as at 30 minutes, which could be a precious window of potential intervention. DEGs at 3 months mainly represented the changes of adaptive immunity, immunosuppressive treatment, remodeling or fibrosis via different networks and signaling pathways. The expression levels of 20 highly DEGs involved in kidney diseases and 10 genes dysregulated at 30 minutes were found correlated with renal function and histology at 12 months, suggesting they could be potential biomarkers. These genes were further validated by quantitative polymerase chain reaction (qPCR) in 24 samples analysed by microarray, as well as in a validation cohort of 33 time point unpaired allograft biopsies. This analysis revealed that SERPINA3, SLPI and CBF were up-regulated at 30 minutes in DD compared to LD, while FTCD and TASPN7 were up-regulated at both time points. At 3 months, SERPINA3 was up-regulated in LD, but down-regulated in DD, with increased VCAN and TIMP1, and decreased FOS, in both donors. Taken together, divergent transcriptomic signatures between DD and LD, and changed by the time post-transplantation, might contribute to different allograft survival of two type kidney donors. Some DEGs including FTCD and TASPN7 could be novel biomarkers not only for timely diagnosis, but also for early precise genetic intervention at donor preservation, implantation and post-transplantation, in particular to effectively improve the quality and survival of DD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / Transplante de Rim / Perfilação da Expressão Gênica / Transcriptoma Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Front Immunol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / Transplante de Rim / Perfilação da Expressão Gênica / Transcriptoma Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Front Immunol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido