Dataset Information

Comprehensive analysis of the relationship between xanthine oxidoreductase activity and chronic kidney disease.

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.

SUBMITTER: Zhang Y

PROVIDER: S-EPMC10622700 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Comprehensive analysis of the relationship between xanthine oxidoreductase activity and chronic kidney disease.

Zhang Yiyuan Y Ding Xiaobao X Guo Lihao L Zhong Yanan Y Xie Juan J Xu Yong Y Li Hailun H Zheng Donghui D

iScience 20230710 11

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 ...[more]

PMID: 37927553

Similar Datasets

Project description:IntroductionChronic Kidney Disease (CKD) is a growing global health issue, affecting approximately 9.1% of the world's population. Oxidative stress is believed to play a key role in CKD development, with indicators such as the Oxidative Balance Score (OBS), Pro-Oxidant-Antioxidant Balance (PAB), and Total Antioxidant Capacity (TAC) being of particular interest. However, their association with CKD remains unclear.MethodsThis study conducted a cross-sectional analysis using data from the National Health and Nutrition Examination Survey (NHANES) 2009-2018. A total of 18,951 participants were included after applying specific inclusion criteria. Logistic regression models and restricted cubic spline regression were employed to examine the associations between these oxidative balance indicators and CKD. Subgroup and interaction analyses were also conducted for further data analyses. Finally, ROC curve analysis was used to assess the predictive performance of these indicators for CKD risk.ResultsAfter adjusting for various confounding factors, higher levels of OBS and PAB were significantly associated with a reduced risk of CKD (OR = 0.97, 95% CI: 0.96-0.99, P < 0.001; OR = 0.94, 95% CI: 0.92-0.97, P < 0.001, respectively). The ORs for the highest quartiles of OBS and PAB were 0.60 (95% CI: 0.49-0.75, P < 0.001) and 0.77 (95% CI: 0.63-0.94, P = 0.013), respectively. In contrast, TAC showed no significant association with CKD. ROC curve analysis further indicated that OBS had a superior predictive ability for CKD risk (AUC = 0.579) compared to PAB (AUC = 0.519) and TAC (AUC = 0.492).ConclusionThe study suggests that oxidative balance indicators, particularly OBS and PAB, are inversely associated with CKD risk, while TAC showed no significant link. OBS demonstrated the strongest predictive ability among the indicators. These findings highlight the potential role of oxidative balance in CKD prevention. Further research is needed to confirm these associations in diverse populations and to explore the underlying mechanisms.

Project description:Rationale & objectiveTo examine the relationship between neighborhood poverty and deprivation, chronic kidney disease (CKD) comorbidities, and disease progression in children with CKD.Study designObservational cohort study.Setting & participantsChildren with mild to moderate CKD enrolled in the CKiD (Chronic Kidney Disease in Children) study with available US Census data.ExposureNeighborhood poverty and neighborhood disadvantage.OutcomeBinary outcomes of short stature, obesity, hypertension, and health care utilization for cross-sectional analysis; a CKD progression end point (incident kidney replacement therapy [KRT] or 50% loss in estimated glomerular filtration rate), and mode of first KRT for time-to-event analysis.Analytical approachCross-sectional analysis of health characteristics at time of first Census data collection using logistic regression to estimate odds ratios. Risk for CKD progression was analyzed using a Cox proportional hazard model. Multivariable models were adjusted for race, ethnicity, sex, and family income.ResultsThere was strong agreement between family and neighborhood socioeconomic characteristics. Risk for short stature, hospitalization, and emergency department (ED) use were significantly associated with lower neighborhood income. After controlling for race, ethnicity, sex, and family income, the odds of hospitalization (OR, 1.71 [95% CI, 1.08-2.71]) and ED use (OR, 1.56 [95% CI, 1.02-2.40]) remained higher for those with lower neighborhood income. The hazard ratio of reaching the CKD progression outcome for participants living in lower income neighborhoods was significantly increased in the unadjusted model only (1.38 [95% CI, 1.02-1.87]). Likelihood of undergoing a preemptive transplant was decreased with lower neighborhood income (OR, 0.47 [95% CI, 0.24-0.96]) and higher neighborhood deprivation (OR, 0.31 [95% CI, 0.10-0.97]), but these associations did not persist after controlling for participant characteristics.LimitationsLimited generalizability, as only those with consistent longitudinal nephrology care were studied.ConclusionsNeighborhood-level socioeconomic status (SES) was associated with poorer health characteristics and CKD progression in univariable analysis. However, the relationships were attenuated after accounting for participant-level factors including race. A persistent association of neighborhood poverty with hospitalizations and ED suggests an independent effect of SES on health care utilization, the causes for which deserve additional study.

Dataset Information

Comprehensive analysis of the relationship between xanthine oxidoreductase activity and chronic kidney disease.

Publications

Comprehensive analysis of the relationship between xanthine oxidoreductase activity and chronic kidney disease.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets