Kidney transplantation is currently the best treatment for patients with advanced renal disease, which is associated with better survival, increased life quality, and overall reduced costs in the long run compared to dialysis. Nevertheless, transplant-related infections, antibody-mediated rejection (ABMR) and T cell-mediated rejection (TCMR) after transplantation may reduce patient’s quality of life, and graft or patient survival and eventually lead to graft failure. Ischemia-reperfusion injury during transplantation and the immune status of body has a great impact on the aforementioned events. Due to limited diagnostic means, it is difficult to detect the infection and rejection at very early stage, let alone personalized early interventions. With the development of omics technology, high-throughput molecular identification and quantitation became available, accumulating omics data are generated, especially the personalized omics data for each kidney transplantation can offer guidance to clinicians in decision making.
The goal of this Research Topic is to boost discussion on how to reduce post-transplant complications (especially on infection and rejection) and to improve long-term outcomes after kidney transplantation through high-throughput omics methods, including genomics, transcriptomics, proteomics, metabolomics, et al. For manuscripts with data collected from publicly available databases, validation by wet experiments is required for this Research Topic.
We welcome original research and review articles in the following topics but not limited to:
• New advances in the diagnosis of transplant-related infections by bioinformatics
• New strategies for diagnosis and treatment of antibody-mediated rejection (ABMR) and T cell-mediated rejection (TCMR) in kidney transplantation based on the omics data
• New strategies with the aid of bioinformatics to improve outcomes after kidney transplantation or ischemia-reperfusion injury
• Novel biomarkers for detection, treatment decision and prognosis of kidney transplantation
• Immune infiltration evaluation through bioinformatics after kidney transplantation
• A timely overview of the graft failure
Kidney transplantation is currently the best treatment for patients with advanced renal disease, which is associated with better survival, increased life quality, and overall reduced costs in the long run compared to dialysis. Nevertheless, transplant-related infections, antibody-mediated rejection (ABMR) and T cell-mediated rejection (TCMR) after transplantation may reduce patient’s quality of life, and graft or patient survival and eventually lead to graft failure. Ischemia-reperfusion injury during transplantation and the immune status of body has a great impact on the aforementioned events. Due to limited diagnostic means, it is difficult to detect the infection and rejection at very early stage, let alone personalized early interventions. With the development of omics technology, high-throughput molecular identification and quantitation became available, accumulating omics data are generated, especially the personalized omics data for each kidney transplantation can offer guidance to clinicians in decision making.
The goal of this Research Topic is to boost discussion on how to reduce post-transplant complications (especially on infection and rejection) and to improve long-term outcomes after kidney transplantation through high-throughput omics methods, including genomics, transcriptomics, proteomics, metabolomics, et al. For manuscripts with data collected from publicly available databases, validation by wet experiments is required for this Research Topic.
We welcome original research and review articles in the following topics but not limited to:
• New advances in the diagnosis of transplant-related infections by bioinformatics
• New strategies for diagnosis and treatment of antibody-mediated rejection (ABMR) and T cell-mediated rejection (TCMR) in kidney transplantation based on the omics data
• New strategies with the aid of bioinformatics to improve outcomes after kidney transplantation or ischemia-reperfusion injury
• Novel biomarkers for detection, treatment decision and prognosis of kidney transplantation
• Immune infiltration evaluation through bioinformatics after kidney transplantation
• A timely overview of the graft failure
