The nonlinear relationship between the ratio of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol and the risk of diabetic kidney disease in patients with type 2 diabetes mellitus

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

Published: Feb. 19, 2025

The ratio of non-high-density lipoprotein cholesterol to high-density (NHHR) is a novel marker related atherosclerosis, but its role in diabetic kidney disease (DKD) remains unclear. This study investigated the relationship between NHHR and DKD risk patients with type 2 diabetes mellitus (T2DM) evaluated potential as for early screening. Data from adults T2DM participating National Health Nutrition Examination Surveys (NHANES) 1999 2018 were analyzed. Demographic information, laboratory tests, other relevant information collected. To evaluate correlation levels risk, weighted multivariable logistic regression restricted cubic spline (RCS) analyses employed. Furthermore, threshold effect analysis was employed further explore at different levels, subgroup validated results. enrolled total 3,243 participants, comprising 1,258 individuals (38.79%) 1,985 without (61.21%). showed that higher exhibited 45% reduction developing comparison those lower (Q2 vs. Q1: OR 0.55, 95% CI 0.40-0.76). RCS revealed nonlinear (P = 0.003), plot exhibiting an L-shaped association. A negative association observed when ≤2.82 (OR 0.63, 0.49-0.83). statistically significant not >2.82. indicated age may have interaction on this (p interaction<0.05). Our findings non-linear adult United States. Managing right range can help reduce DKD. suggests be valuable easily measurable biomarker identifying DKD, thereby promoting intervention improved management.

Language: Английский

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Association of diabetic nephropathy with lipid metabolism: a Mendelian randomization study

Diabetology & Metabolic Syndrome, Journal Year: 2025, Volume and Issue: 17(1)

Published: March 26, 2025

Patients with diabetic nephropathy (DN) often present lipid profile abnormalities. While associations between these parameters and DN have been suggested, confounding factors obscure causal relationships. This study employed bidirectional Mendelian randomization (MR) to explore links. Using genome-wide association (GWAS) data, the primary analysis used inverse-variance weighted (IVW) method, which was supported by MR-Egger regression a median estimator (WME). Sensitivity analyses, including heterogeneity, pleiotropy tests, leave-one-out, reverse causality were conducted. The IVW model revealed following: (1) relationships triglycerides (TG) (OR: 1.5807, 95% CI: 1.2578–1.9865, P = 0.0001), high-density lipoprotein cholesterol (HDL-C) 0.7342, 0.5729–0.9409, 0.0146), apolipoprotein A1 (ApoA1) 0.6506, 0.5190–0.8156, 0.0002) DN; (2) TG 1.0607, 1.0143–1.1093, 0.0098), HDL-C 0.9453, 0.9053–1.9871, 0.0109), B (ApoB) 1.0672, 0.0070–1.1310, 0.0280) urinary albumin–creatinine ratio (UACR); (3) no relationship total (TC), low-density (LDL-C), ApoB DN, or TC, LDL-C, ApoA1 UACR; (4) none of results showed causality. is risk factor for protective both; protects against UACR. To further underlying mechanisms TG, HDL-C, ApoA1, ApoB, their UACR, provide reference selection management treatment strategies clinical patients. demonstrated that

Language: Английский

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Can Lipoprotein(a) Predict the Risk of Diabetic Nephropathy in Type 2 Diabetes Mellitus?: A Systematic Review and Meta-Analysis

Hormone and Metabolic Research, Journal Year: 2025, Volume and Issue: 57(04), P. 242 - 251

Published: April 1, 2025

Abstract We aimed to examine if serum lipoprotein(a) [Lp(a)] values could be used predict the risk of diabetic nephropathy (DN) in type 2 diabetes mellitus (T2DM). English-language observational studies available as full-texts on PubMed, Embase, Scopus, and Web Science databases up 28th November 2024 were included review. Studies assess association between Lp(a) DN report adjusted effect size. Random-effects meta-analysis was conducted. Five cross-sectional, two case-control, eight prospective cohort included. Six a continuous variable while it categorical variable. Two both. Meta-analysis showed that an incremental increase associated with small (OR: 1.03 95% CI: 1.01, 1.04 I2=86%). also high levels significant 1.64 1.24, 2.17 I2=67%). Subgroup analysis based study design, location, sample size, T2DM duration, baseline HbA1c, definition yielded mixed results. potential marker for T2DM. Further investigations may provide better evidence.

Language: Английский

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A SMOTE PCA HDBSCAN approach for enhancing water quality classification in imbalanced datasets

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 16, 2025

Class imbalance poses a significant challenge in water quality classification, often leading to biased predictions and diminished accuracy for minority classes. This study introduces SMOTE-PCA-HDBSCAN, novel oversampling framework that integrates the Synthetic Minority Oversampling Technique (SMOTE) generate synthetic samples, Principal Component Analysis (PCA) enhance data separability, Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) remove noise. The cleaned is then merged original dataset form balanced, noise-reduced training set. Comparative evaluations against SMOTE, SMOTE-DBSCAN, SMOTE-PCA-DBSCAN, SMOTE-ENN, SMOTE-Tomek Links reveal SMOTE-PCA-HDBSCAN consistently improves sensitivity classes (Clean: 4.76% 28.57%; Polluted: 38.09% 61.90%) while maintaining high majority class. These results demonstrate robustness addressing class imbalance, offering valuable tool enhancing predictive models environmental monitoring other domains imbalanced datasets.

Language: Английский

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The causal relationship between 5 serum lipid parameters and diabetic nephropathy: a Mendelian randomization study

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: May 28, 2024

Background Serum lipids were found to be correlated with chronic kidney disease and cardiovascular disease. Here, we aimed research the potential causal associations between five serum lipid parameters risk of diabetic nephropathy using several Mendelian Randomization methods. Methods Genetic data was obtained from UK Biobank datasets. Causal effects estimated multiple MR Heterogeneity pleiotropy tests performed. Results analysis revealed that HDL-C TG exhibited ( P &lt;0.05). Similar trends not observed for other parameters. Conclusions Our has suggested links HDL-C, nephropathy. The findings could contribute further elucidation etiology. Strengths limitations this study This article only uses Mendel randomization method analyze relationship blood diabetes nephropathy, which is more convincing when combined population data.

Language: Английский

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Risk prediction models for diabetic nephropathy among type 2 diabetes patients in China: a systematic review and meta-analysis

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: July 3, 2024

Objective This study systematically reviews and meta-analyzes existing risk prediction models for diabetic kidney disease (DKD) among patients with type 2 diabetes, aiming to provide references scholars in China develop higher-quality models. Methods We searched databases including National Knowledge Infrastructure (CNKI), Wanfang Data, VIP Chinese Science Technology Journal Database, Biomedical Literature Database (CBM), PubMed, Web of Science, Embase, the Cochrane Library studies on construction DKD diabetes patients, up until 28 December 2023. Two researchers independently screened literature extracted evaluated information according a data extraction form bias assessment tool model studies. The area under curve (AUC) values were meta-analyzed using STATA 14.0 software. Results A total 32 included, 31 performing internal validation 22 reporting calibration. incidence rate ranged from 6.0% 62.3%. AUC 0.713 0.949, indicating have fair excellent accuracy. overall applicability included was good; however, there high bias, mainly due retrospective nature most studies, unreasonable sample sizes, conducted single center. Meta-analysis yielded combined 0.810 (95% CI: 0.780–0.840), good predictive performance. Conclusion Research is still its initial stages, lack clinical application. Future efforts could focus constructing high-performance, easy-to-use based interpretable machine learning methods applying them settings. Registration systematic review meta-analysis following Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) statement, recognized guideline such research. registration https://www.crd.york.ac.uk/prospero/ , identifier CRD42024498015.

Language: Английский

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Desmosterol-driven atypical macrophage polarization regulates podocyte dynamics in diabetic nephropathy

Molecular Biology Reports, Journal Year: 2024, Volume and Issue: 51(1)

Published: Jan. 27, 2024

Abstract Background Diabetic nephropathy (DN) stands as a leading diabetes complication, with macrophages intricately involved in its evolution. While glucose metabolism’s impact on macrophage activity is well-established, cholesterol contributions remain less explored. Our study seeks to elucidate this association. Methods and results Results: Gene expression analysis of monocytes from the blood both normal diabetic patients was conducted using public databases, showing that metabolism pathways, especially Bloch Kandutsch-Russell, were more altered monocytes/macrophages than glucose-responsive pathways. When bone marrow-derived (BMDMs) subjected desmosterol, they exhibited an unconventional polarization. These BMDMs displayed heightened levels M1-related pro-inflammatory cytokines M2-linked anti-inflammatory factors. Further, co-culture, desmosterol-conditioned paralleled M2 augmenting Ki-67 + podocyte populations while mimicking M1 elevating TUNEL apoptotic podocytes. Comparable outcomes podocytes obtained conditioned media respective BMDMs. Conclusions data underscores pivotal role metabolism, particularly via steering toward polarization marked by inflammatory regulatory traits. Such unique behavior concurrently impacts proliferation apoptosis, shedding fresh light DN pathogenesis hinting at potential therapeutic interventions.

Language: Английский

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