Related Experiment Video
Updated: Jul 11, 2025

Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Comprehensive analysis of the relationship between xanthine oxidoreductase activity and chronic kidney disease
Yiyuan Zhang1, Xiaobao Ding1,2, Lihao Guo1
1Department of Nephrology, The Affiliated Huai'an Hospital of Xuzhou Medical University and Huai'an Second People's Hospital, Huai'an, China.
Abstract:
Chronic kidney disease (CKD) is a common disease that seriously endangers human health. However, the potential relationship between xanthine oxidoreductase (XOR) activity and CKD remains unclear. In this study, we used clinical data, CKD datasets from the Gene Expression Omnibus database, and untargeted metabolomics to explain the relationship between XOR activity and CKD. First, XOR activity showed high correlation with the biomarkers of CKD, such as serum creatinine, blood urea nitrogen, uric acid, and estimated glomerular filtration rate. Then, we used least absolute shrinkage and selection operator logical regression algorithm and random forest algorithm to screen CKD molecular markers from differentially expressed genes, and the results of qRT-PCR of XDH, KOX-1, and ROMO1 were in accordance with the results of bioinformatics analyses. In addition, untargeted metabolomics analysis revealed that the purine metabolism pathway was significantly enriched in CKD patients in the simulated models of kidney fibrosis.
Insights
Xanthine oxidoreductase (XOR) activity is linked to chronic kidney disease (CKD) biomarkers. This study reveals XOR
Area of Science:
- Nephrology
- Biochemistry
- Genomics
Background:
- Chronic kidney disease (CKD) poses a significant global health burden.
- The precise role of xanthine oxidoreductase (XOR) activity in CKD pathogenesis is not well understood.
Purpose of the Study:
- To investigate the association between XOR activity and CKD.
- To identify molecular markers and metabolic pathways related to XOR activity in CKD.
Main Methods:
- Analysis of clinical data and Gene Expression Omnibus (GEO) CKD datasets.
- Application of bioinformatics algorithms (LASSO, Random Forest) for marker screening.
- Untargeted metabolomics to explore metabolic pathway enrichment.
Main Results:
- XOR activity strongly correlated with key CKD biomarkers (serum creatinine, BUN, uric acid, eGFR).
- Bioinformatic analyses identified differentially expressed genes, validated by qRT-PCR (XDH, KOX-1, ROMO1).
- Untargeted metabolomics indicated significant enrichment of the purine metabolism pathway in kidney fibrosis models.
Conclusions:
- XOR activity is a potential indicator and player in CKD progression.
- Purine metabolism alterations are implicated in CKD pathophysiology.
- Further research into XOR modulation could offer novel therapeutic strategies for CKD.
More Related Videos
Related Concept Videos
Chronic Kidney Disease I: Introduction
Factors Affecting Renal Clearance: Renal Impairment
One condition associated with renal failure is uremia. Uremia is characterized by impaired glomerular filtration and fluid accumulation in the body. This condition hinders the renal clearance of drugs, resulting in drug accumulation and potential...
Renal Failure: Dose Adjustments
Reduced renal clearance and elimination rate are common outcomes of renal impairment. These alterations lead to a prolonged elimination half-life and an altered apparent volume of distribution for drugs. As a result, dosage adjustments are typically necessary to maintain optimal drug levels in the body.
However, dosage adjustments...
Chronic Kidney Disease III: Interprofessional Care
Chronic Kidney Disease II: Clinical Manifestations
Acute Kidney Injury I: Introduction

