Related Experiment Video
Updated: Feb 19, 2026
Orthotopic Rat Kidney Transplantation: A Novel and Simplified Surgical Approach
Published on: May 7, 2019
PANoptosis-Based Diagnostic Model Using Single-Cell and Transcriptome RNA Sequencing to Predict Rejection in Kidney
Qian Chen1, Sheng Chao, Chao Liu
1From the Department of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China.
Objectives:
Kidney transplantation is the most effective treatment for end-stage renal failure, but transplant rejection remains a major challenge. The role of PANoptosis in rejection is not fully understood.
Materials And Methods:
We performed single-cell analysis of PANoptosis-related differentially expressed genes in kidney transplant rejection using data from the GEO database. We identified 7 core PANoptosis genes associated with rejection from 2 machine learning algorithms. We constructed a clinical predictive model, which we evaluated for efficacy and calibration. We predicted potential therapeutic drugs by using the DSigDB database.
Results:
Compared with nonrejection samples, rejection samples showed increased proportions of endothelial cells and macrophages and decreased proximal tubular cells and fibroblasts. Among 134 PANoptosis-related differentially expressed genes, 7 core genes were significantly positively correlated. The predictive model based on these genes demonstrated good accuracy and calibration. Drug prediction identified tosyllysyl chloromethane targeting NFKBIA as a promising candidate for treatment of rejection.
Conclusions:
Our findings provide a proof-of-concept diagnostic model that required clinical validation of 7 core PANoptosis-related genes in kidney transplant rejection through single-cell and machine learning analyses. Tosyllysyl chloromethane targeting NFKBIA emerged as a potential therapeutic agent, offering new insights into personalized diagnosis and treatment strategies for renal transplant rejection.
Insights
Researchers identified seven core PANoptosis genes linked to kidney transplant rejection using single-cell and machine learning analysis. A predictive model showed promise, and tosyllysyl chloromethane was identified as a potential therapeutic agent for rejection.
Area of Science:
- Immunology
- Genomics
- Transplantation Medicine
Background:
- Kidney transplantation is the optimal treatment for end-stage renal failure.
- Transplant rejection remains a significant clinical challenge.
- The specific role of PANoptosis in kidney transplant rejection is not well-defined.
Purpose of the Study:
- To investigate the role of PANoptosis-related genes in kidney transplant rejection.
- To identify key PANoptosis genes associated with transplant rejection.
- To develop a predictive model and identify potential therapeutic targets for rejection.
Main Methods:
- Single-cell RNA sequencing analysis of PANoptosis-related genes in kidney transplant rejection.
- Application of machine learning algorithms to identify core PANoptosis genes.
- Construction and validation of a clinical predictive model.
- Drug repurposing analysis using the DSigDB database.
Main Results:
- Rejection samples exhibited altered cell proportions, including increased endothelial cells and macrophages.
- Seven core PANoptosis genes were identified and found to be significantly correlated with rejection.
- The developed predictive model demonstrated high accuracy and good calibration.
- Tosyllysyl chloromethane was predicted as a potential therapeutic agent targeting NFKBIA.
Conclusions:
- A proof-of-concept diagnostic model for kidney transplant rejection based on seven core PANoptosis genes was developed.
- Clinical validation of these genes is necessary for diagnostic and prognostic applications.
- Tosyllysyl chloromethane targeting NFKBIA presents a promising therapeutic strategy for renal transplant rejection.
