Association between uric acid to high-density lipoprotein cholesterol ratio and chronic kidney disease in Chinese patients with type 2 diabetes mellitus: a cross-sectional study DOI Creative Commons
Xiangyu Chen, Jie Zhang, Feng Lü

et al.

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: April 14, 2025

Objectives To examine the association between uric acid (UA) to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) and chronic kidney disease (CKD) in type 2 diabetes mellitus (T2DM) patients China. Methods The investigation stems from a survey conducted eastern Chinese province of Zhejiang, spanning March November 2018. A multivariable logistic regression model was employed assess relationship UHR CKD, while restricted cubic spline (RCS) analysis used evaluate dose–response relationship. Receiver operating characteristic (ROC) curve performed determine optimal cut-off value its diagnostic performance for CKD. Model further evaluated using net reclassification improvement (NRI) integrated discrimination (IDI) metrics. Sensitivity analyses, including propensity score matching (PSM) k-means clustering, were enhance robustness findings. Subgroup analyses across various demographic clinical categories consistency UHR-CKD association. Results This cross-sectional study included 1,756 with T2DM, among whom 485 (27.62%) identified Multivariable revealed significant positive Per standard deviation (SD) increase associated 40% higher odds CKD (OR = 1.40, 95% CI: 1.23–1.60) after adjusting potential covariates. When analyzed categorically, participants highest tertile (T3) had 1.82-fold compared lowest (T1) (95% 1.32–2.50). RCS demonstrated consistent linear all models (all p nonlinearity >0.05). ROC an 12.28 prediction, area under (AUC) 0.710 0.683–0.737) fully adjusted model. confirmed most variables, except younger age groups (18–44 45–59 years) smokers. Notably, BMI significantly modified relationship, nonlinear observed individuals lower (<24 kg/m ) those (≥24 ). Conclusion demonstrates highlighting as promising biomarker risk assessment. offers practical threshold early renal monitoring targeted interventions. Future research should explore UHR-targeted therapies integration into personalized stratification improve management T2DM.

Language: Английский

Renoprotective mechanisms of celastrol in high glucose-mediated HK-2 cell injury through inhibition of the PI3K/Akt/NF-κB signalling pathway DOI

Xiaojuan Wang,

Mohamad Hafizi Abu Bakar, Mohd Asyraf Kassim

et al.

Biochemistry and Biophysics Reports, Journal Year: 2025, Volume and Issue: 41, P. 101928 - 101928

Published: Jan. 28, 2025

Language: Английский

Citations

2
Relationship between life’s essential 8, vitamin D, and cardiometabolic outcomes DOI

Qiuting Jia,

Yuxuan Yang, Lu Liu

et al.

Diabetes Research and Clinical Practice, Journal Year: 2025, Volume and Issue: 222, P. 112057 - 112057

Published: Feb. 22, 2025

Language: Английский

Citations

2
Novel Insights into Diabetic Kidney Disease DOI Open Access
Ewelina Młynarska, Dominika Buławska, Witold Czarnik

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(18), P. 10222 - 10222

Published: Sept. 23, 2024

Diabetic kidney disease (DKD) is a major complication of diabetes mellitus (DM), affecting over one-third type 1 and nearly half 2 patients. As the leading cause end-stage renal (ESRD) globally, DKD develops through complex interplay chronic hyperglycemia, oxidative stress, inflammation. Early detection crucial, with diagnosis based on persistent albuminuria reduced estimated glomerular filtration rate (eGFR). Treatment strategies emphasize comprehensive management, including glycemic control, blood pressure regulation, use nephroprotective agents such as angiotensin-converting enzyme (ACE) inhibitors, angiotensin II receptor blockers (ARBs), sodium-glucose cotransporter-2 (SGLT2) glucagon-like peptide-1 (GLP-1) agonists. Ongoing research explores novel therapies targeting molecular pathways non-coding RNAs. Preventive measures focus rigorous control hyperglycemia hypertension, aiming to mitigate progression. Despite therapeutic advances, remains ESRD, highlighting need for continued identify new biomarkers innovative treatments.

Language: Английский

Citations

11
Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy: a study based on integrative machine learning and single-cell sequence DOI Creative Commons
Xiaoyin Wu,

Buyu Guo,

Xingyu Chang

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 23, 2025

Background Diabetic nephropathy (DN) is a complication of systemic microvascular disease in diabetes mellitus. Abnormal glycolysis has emerged as potential factor for chronic renal dysfunction DN. The current lack reliable predictive biomarkers hinders early diagnosis and personalized therapy. Methods Transcriptomic profiles DN samples controls were extracted from GEO databases. Differentially expressed genes (DEGs) their functional enrichments identified. Glycolysis-related (GRGs) selected by combining DEGs, weighted gene co-expression network, candidate genes. We established diagnostic signature termed GScore via integrative machine learning framework. efficacy was evaluated decision curve calibration curve. Single-cell RNA sequence data used to identify cell subtypes interactive signals. cMAP database find therapeutic agents targeting expression levels signatures verified vitro . Results Through the 108 combinations algorithms, we 12 signatures, including CD163, CYBB, ELF3, FCN1, PROM1, GPR65, LCN2, LTF, S100A4, SOX4, TGFB1 TNFAIP8. Based on them, an model named predicting onset stratifying clinical risk. observed distinct biological characteristics immunological microenvironment states between high-risk low-risk groups. significantly associated with neutrophils non-classical monocytes. Potential esmolol, estradiol, ganciclovir, felbamate, In , LCN2 CD163 induced high glucose-induced HK-2 lines. Conclusion An frame novel using glycolysis-related This study provides new direction treatment

Language: Английский

Citations

1
Protective effect of orientin on diabetic nephropathy in rat models of high-fat diet and streptozotocin-induced diabetes DOI

Raad Saad Luty,

Adeeb Ahmed Kadhim Al-Zubaidy,

Arif Sami Malik

et al.

Naunyn-Schmiedeberg s Archives of Pharmacology, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Language: Английский

Citations

1
The Non-High-Density Lipoprotein Cholesterol (Non-HDL-C) to HDL-C Ratio (NHHR) and Its Association with Chronic Kidney Disease in Chinese Adults with Type 2 Diabetes: A Preliminary Study DOI Open Access
Xiangyu Chen,

Mingbin Liang,

Jie Zhang

et al.

Nutrients, Journal Year: 2025, Volume and Issue: 17(7), P. 1125 - 1125

Published: March 24, 2025

Objectives: The objective of this study was to examine the association between non-high-density lipoprotein cholesterol (non-HDL-C) high-density (HDL-C) ratio (NHHR) and chronic kidney disease (CKD) in Chinese adults with type 2 diabetes mellitus (T2DM). Methods: This originated from a survey carried out Zhejiang Province, located eastern China, March November 2018. To explore relationship NHHR CKD, multivariable logistic regression model employed. dose-response assessed using restricted cubic spline (RCS) analysis, while generalized additive models (GAMs) were applied associations urinary albumin-to-creatinine (UACR) as well estimated glomerular filtration rate (eGFR). Subgroup analyses performed across various demographic clinical categories assess consistency NHHR-CKD association. optimal cutoff for CKD diagnosis, its predictive accuracy, comparison components HbA1c determined through receiver operating characteristic (ROC) curve analysis. Results: enrolled 1756 participants, including 485 individuals 1271 without CKD. Multivariable revealed significant positive each standard deviation (SD) increase linked 23% higher odds (OR = 1.23, 95% CI: 1.09-1.37) after adjusting potential confounders. When comparing quartiles, fully adjusted ORs Q2, Q3, Q4 1.29 (0.92-1.79), 1.31 (0.94-1.83), 1.87 (1.34-2.60), respectively, relative Q1 (p trend < 0.01). RCS analysis confirmed linear both sexes nonlinearity > 0.05). GAMs indicated correlation UACR (ρ 0.109, p 0.001) but no eGFR -0.016, 0.502). demonstrated consistent most subgroups, except 18-44 years age group, well-controlled glycemic non-alcohol drinking group ROC identified an 3.48 prediction, area under (AUC) 0.606 (95% 0.577-0.635). Notably, outperformed individual performance. Conclusions: link levels increased prevalence T2DM patients. may also serve complementary biomarker early detection, though further prospective studies are needed confirm value utility high-risk populations.

Language: Английский

Citations

0
Advance in Iron Metabolism, Oxidative Stress and Cellular Dysfunction in Experimental and Human Kidney Diseases DOI Creative Commons

Tiancheng Xie,

Li Yao, Xiaogang Li

et al.

Antioxidants, Journal Year: 2024, Volume and Issue: 13(6), P. 659 - 659

Published: May 27, 2024

Kidney diseases pose a significant global health issue, frequently resulting in the gradual decline of renal function and eventually leading to end-stage failure. Abnormal iron metabolism oxidative stress-mediated cellular dysfunction facilitates advancement kidney diseases. Iron homeostasis is strictly regulated body, disturbance this regulatory system results abnormal accumulation or deficiency, both which are associated with pathogenesis overload promotes production reactive oxygen species (ROS) through Fenton reaction, damage molecules impaired function. Increased stress can also influence upregulation proteins altering expression activity key transport storage proteins. This creates harmful cycle perpetuate each other, ultimately contributing The crosstalk involves multiple signaling pathways, such as hypoxia-inducible factor (HIF) nuclear erythroid 2-related 2 (Nrf2) pathways. review delves into functions mechanisms stress, along intricate relationship between these two factors context Understanding underlying should help identify potential therapeutic targets develop novel effective strategies combat burden

Language: Английский

Citations

4
Association between plasma eosinophil count and chronic kidney disease: results from the NHANES 2005-2018 and Mendelian randomization study DOI Creative Commons
Yu Jiang, Yanli Lan,

Jinhong Jiang

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Abstract Background: This investigation seeks to examine the association between plasma eosinophil count(PEC) and risk of chronic kidney disease (CKD) related traits such as estimated glomerular filtration rate (eGFR) urinary albumin-to-creatinine ratio (UACR), additionally elucidating causal relationship via Mendelian Randomization (MR) analysis. Methods: To evaluate PEC CKD traits, weighted multivariable-adjusted logistic regression was conducted using data from NHANES 2005–2018. Survival curve analysis also employed prognosis in patients. Furthermore, a two-sample MR study leveraged genome-wide (GWAS) summary statistics explore links CKD, eGFR, UACR. The primary inverse variance (IVW) method, alongside supplementary techniques, used verify these associations. Pleiotropy heterogeneity analyses were performed ensure robustness results. Results: A total 36,291 participants included observational study. Weighted indicated that significantly associated with higher (odds [OR] = 1.654; 95% confidence interval [CI], 1.413–1.936). showed strong positive correlation both lower eGFR elevated UACR (≥ 30 mg/g). Kaplan-Meier survival revealed counts linked worse long-term further supported link genetically predicted increased [OR], 1.095 [95% CI, 1.026–1.169]; P 0.006). (OR, 0.991 0.985–0.996]; 0.001) observed. However, no significant identified 1.044 0.906–1.204]; 0.547). confirm findings. Conclusion: shows reduced suggesting potential role their development. While is UACR, found evidence

Language: Английский

Citations

0
Global research hotspots and trends in oxidative stress-related diabetic nephropathy: a bibliometric study DOI Creative Commons
Xiaorong Wang,

Wu Zeng,

Tingchao He

et al.

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 10, 2025

Oxidative stress is widely acknowledged as a key pathogenic mechanism in diabetic nephropathy (DN). In recent years, the role of oxidative DN has garnered increasing attention. However, no bibliometric analysis yet been conducted on relationship between and DN. This study aims to systematically analyze relevant literature, identify trends research, assess current hotspots, predict future directions. We retrieved literature related from Web Science Core Collection database. analyzed data publication volume, countries/regions, institutions, journals, keywords, other metrics using VOSviewer, Bibliometrix R package, CiteSpace. From 2014 2024, total 4076 publications were published across 755 showing consistent upward trend each year. China United States are leading contributors this field demonstrate close collaborative efforts. The top by country, institution, journal, author include: (1919 publications), Jilin University Central South (69 each), BIOMEDICINE & PHARMACOTHERAPY (117 Prof. Sun Lin (33 publications). most frequent keyword "oxidative stress" (3683 occurrences). co-citation analysis, Alicic RZ's 2017 was cited (144 citations). These findings highlight critical importance investigating pathogenesis perspective. demonstrates steady increase research since 2014, highlighting its central Future should focus molecular mechanisms explore therapeutic potential, provide new strategies for prevention treatment

Language: Английский

Citations

0
Associations between oxidative balance score and chronic kidney disease events in type 2 diabetes mellitus patients: a cross‑sectional study DOI Creative Commons

Yunhe Ding,

Liwen Liu,

Zhen Feng

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Abstract The Oxidative Balance Score (OBS) serves as a comprehensive metric that amalgamates 17 dietary and lifestyle elements to evaluate antioxidant status. Thi research aims investigate the association between OBS prevalence of chronic kidney disease (CKD) in individuals diagnosed with type 2 diabetes mellitus (T2DM). This cross-sectional study included data from National Health Nutrition Examination Survey (NHANES) conducted 2007 2018. CKD was determined using albumin-to-creatinine ratio(ACR)and estimated glomerular filtration rate (eGFR). Patients were grouped into low, moderate, high-risk categories based on their risk levels. variable transformed continuous format quartiles for subsequent analysis. Weighted multivariable logistic regression restricted cubic spline models employed examine relationship. Subgroup analyses interaction tests assessed findings' robustness. results indicated negative correlation risk. Individuals higher exhibited decreased (OR 0.69, 95% CI: 0.57–0.85, P = 0.0003). A notable identified among low-risk moderate-risk groups. subgroup analysis stable, no significant interactions detected subgroups. Increased levels correlated CKD. Improving capacity through modifications enhance may serve an effective strategy prevention.

Language: Английский

Citations

0