Project description:The study comprises various components: Samples TD: We aims to screen out different gene expression profile in donor biopsies after revascularization , We aims to predict renal allograft dysfunction early after transplantation. Samples AR, ATN, Tx: We aim to screen out different gene expression profile in acute rejection on the kidney. We aim to screen out different gene expression profile in acute tubular necrosis on the kidney. Results from the various study components can help to diagnose renal allograft dysfunction with different causes by distinct gene expression profile. Keywords: acute rejection, acute tubular necrosis, donor biopsies, renal allograft dysfunction
Project description:Background: T-cell mediated rejection (TCMR) remains a significant challenge after kidney transplantation and is associated with reduced allograft outcome. Previous research highlighted the critical role of TCMR-induced renal epithelial injury. Yet, the detailed cellular origin of these injury responses and the associated clinical implications remain poorly understood. Methods: To induce acute TCMR, we used mouse models of allogeneic (C57BL/6 to BALB/c and BALB/c to C57BL/6) kidney transplantation and syngeneic controls (C57BL/6 to C57BL/6 and BALB/c to BALB/c). Molecular changes were analyzed 7 days post-transplant using single-nucleus RNA sequencing and spatial transcriptomics. Results were compared with snRNA-seq data from three human TCMR biopsies and three stable allografts without rejection. The clinical impact of TCMR-induced epithelial injury was evaluated using marker gene sets on bulk transcriptomic data from 1292 kidney allografts, including 95 TCMR samples, with allograft outcome. Results: Mouse kidneys from allogeneic transplants exhibited all hallmark histological features of TCMR. Single-nucleus RNA sequencing revealed TCMR-induced injured cell states and significant gene expression changes particularly in proximal tubules (PT) and thick ascending limbs (TAL). Spatial transcriptomics showed a heterogeneous spatial distribution of these injured cell states and proximity to leukocytes. Cross-species analysis confirmed similar injured PT and TAL cell states in human TCMR. Signatures of a severely injured TCMR-induced TAL cell state correlated strongly with allograft survival in a large kidney transplant cohort specifically after TCMR. Conclusion: This is the first study showing kidney allograft outcome with distinct injured epithelial cell states. We found a particularly strong correlation between kidney allograft survival and TAL injury in TCMR, which occurred with reduced proximity to leukocytes, suggesting potential epithelial injury driven by non-immune mechanisms.
Project description:Background: T-cell mediated rejection (TCMR) remains a significant challenge after kidney transplantation and is associated with reduced allograft outcome. Previous research highlighted the critical role of TCMR-induced renal epithelial injury. Yet, the detailed cellular origin of these injury responses and the associated clinical implications remain poorly understood. Methods: To induce acute TCMR, we used mouse models of allogeneic (C57BL/6 to BALB/c and BALB/c to C57BL/6) kidney transplantation and syngeneic controls (C57BL/6 to C57BL/6 and BALB/c to BALB/c). Molecular changes were analyzed 7 days post-transplant using single-nucleus RNA sequencing and spatial transcriptomics. Results were compared with snRNA-seq data from three human TCMR biopsies and three stable allografts without rejection. The clinical impact of TCMR-induced epithelial injury was evaluated using marker gene sets on bulk transcriptomic data from 1292 kidney allografts, including 95 TCMR samples, with allograft outcome. Results: Mouse kidneys from allogeneic transplants exhibited all hallmark histological features of TCMR. Single-nucleus RNA sequencing revealed TCMR-induced injured cell states and significant gene expression changes particularly in proximal tubules (PT) and thick ascending limbs (TAL). Spatial transcriptomics showed a heterogeneous spatial distribution of these injured cell states and proximity to leukocytes. Cross-species analysis confirmed similar injured PT and TAL cell states in human TCMR. Signatures of a severely injured TCMR-induced TAL cell state correlated strongly with allograft survival in a large kidney transplant cohort specifically after TCMR. Conclusion: This is the first study showing kidney allograft outcome with distinct injured epithelial cell states. We found a particularly strong correlation between kidney allograft survival and TAL injury in TCMR, which occurred with reduced proximity to leukocytes, suggesting potential epithelial injury driven by non-immune mechanisms.
Project description:67 kidney allograft biopsy samples against common reference. Both tissue samples and reference samples were double amplified according to Wang et al, and hybridized to lymphochip.
Project description:The aim of this study was to characterize the genome-wide DNA methylation profiles of marmoset femur trabecular bone samples (n=6) and identify how they relate to aspects of femur bone morphology. The Illumina Infinium MethylationEPIC Array was used to assess these genome-wide methylation patterns.
Project description:The aim of this study was to characterize the genome-wide DNA methylation profiles of vervet femur trabecular bone samples (n=10) and identify how they relate to aspects of femur bone morphology. The Illumina Infinium MethylationEPIC Array was used to assess these genome-wide methylation patterns.
Project description:The aim of this study was to characterize the genome-wide DNA methylation profiles of macaque femur trabecular bone samples (n=10) and identify how they relate to aspects of femur bone morphology. The Illumina Infinium MethylationEPIC Array was used to assess these genome-wide methylation patterns.
Project description:The aim of this study was to characterize the genome-wide DNA methylation profiles of adult baboon femur trabecular bone samples (n=28) and identify how they relate to aspects of femur bone morphology. The Illumina Infinium MethylationEPIC Array was used to assess these genome-wide methylation patterns.