Environmental Research, Journal Year: 2024, Volume and Issue: unknown, P. 120483 - 120483
Published: Nov. 1, 2024
Language: Английский
Frontiers in Nutrition, Journal Year: 2024, Volume and Issue: 11
Published: March 28, 2024
Background High intake of ultra-processed food (UPF) has been associated with increased risk chronic kidney disease(CKD), but the results remain inconsistent. We therefore performed this systematic review and dose–response meta-analysis observational studies that shed light on association between UPF consumption CKD. Methods A literature search PubMed, Embase, Web Science, Scopus China National Knowledge Infrastructure (CNKI) databases was carried out to find eligible articles published up October 31, 2023. Random-effects or fixed-effects models were used pool relative risks(RRs) their 95% confidence intervals (CIs).The potential sources heterogeneity across examined using Cochran’s Q test I-square(I 2 ). Publication bias visual inspection asymmetry in funnel plots quantified by Begg’s Egger’s tests. Results Eight (six cohort two cross-sectional studies) exploring CKD, included final analysis. The pooled analyses revealed high an CKD (RR = 1.25; 95%CI: 1.09–1.42, p < 0.0001). Moreover, a 10% increase 7% higher 1.07; 1.04–1.10, 0.001). Dose–response analysis all showed linear 1.02; 95%CI:0.99–1.05, P 0.178, nonlinearity 0.843). Conclusion Our findings indicate is significantly Future research prospective design required confirm positive association. Systematic registration : https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023478483 , PROSPERO identifier CRD42023478483.
Language: Английский
Citations
6
Toxics, Journal Year: 2025, Volume and Issue: 13(1), P. 55 - 55
Published: Jan. 14, 2025
Background: While current epidemiological studies have documented associations between environmental metals and renal dysfunction, the majority concentrated on plasma metal levels. The relationship urinary exposure chronic kidney disease (CKD) remains contentious, particularly within specific demographic groups. Methods: This cross-sectional study included 2919 rural Chinese adults recruited 2018 2019. Urine were measured by ICP-MS. Least absolute shrinkage selection operator (LASSO) regression was employed to identify significantly associated with CKD. Then, we used binary logistic regression, along restricted cubic spline (RCS) models, assess individual effects of Quantile g-computation, weighted quantile sum Bayesian kernel machine (BKMR) models applied evaluate combined exposures Gender-stratified analyses also conducted explore these associations. Results: LASSO identified seven (V, Cu, Rb, Sr, Ba, W, Pb) significant impacts In single-metal Cu W exhibited a positive correlation CKD, whereas V, Pb showed negative correlations (all p < 0.05). RCS analysis revealed nonlinear Pb, CKD p-nonlinear multi-metal model, quantile-based g-computation demonstrated collective association risk for mixed (OR (95% CI) = −0.430 (−0.656, −0.204); 0.001), contributing this effect. WQS model further confirmed joint CI): −0.885 (−1.083, −0.899); V as main contributor. BKMR indicated an overall impact mixture risk. Interactions may exist well Sr Pb. female subgroup in consistency association. Conclusions: Our findings demonstrate risk, notable females. Joint multiple involve synergistic or antagonistic interactions influencing function. Further research is needed validate observations elucidate underlying mechanisms.
Language: Английский
Citations
0
Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 15
Published: Jan. 15, 2025
The C-reactive protein/Lymphocyte Ratio (CLR) is a novel biomarker whose role in the development of chronic kidney disease (CKD) not well understood. This study aimed to investigate correlation between CLR and prevalence CKD. cross-sectional included participants from US National Health Nutrition Examination Survey conducted 1999 2010. Multivariate regression analyses subgroup were performed, controlling for socio-demographic variables, lifestyle behaviors, diseases associated with disease, biochemical markers bone metabolism. associations CKD prevalence, as indicators renal damage, explored. Non-linear relationships analyzed using weighted restricted cubic splines. predictive ability was assessed by receiver operating characteristic curve area under calculated. Subgroup sensitivity validate robustness model. A total 13,862 respondents included, comprising 2,449 patients 11,413 non-CKD patients. Weighted logistic modeling revealed positive levels (Odds ratio [OR] = 1.54, 95% Confidence interval [CI] 1.30 1.83, P < 0.001). Additionally, negatively correlated glomerular filtration rate, marker injury, positively urinary albumin/creatinine ratio. demonstrated that predicting 0.653 (95% CI, 0.641-0.665). optimal cutoff value 0.856, 0.703, specificity 0.526, 0.874, negative 0.275. model confirmed through analyses. Analysis large dataset suggesting may serve treatment
Language: Английский
Citations
0
Toxicology and Applied Pharmacology, Journal Year: 2025, Volume and Issue: unknown, P. 117358 - 117358
Published: May 1, 2025
Language: Английский
Citations
0
Chemosphere, Journal Year: 2024, Volume and Issue: unknown, P. 143467 - 143467
Published: Oct. 1, 2024
Language: Английский
Citations
0
Environmental Research, Journal Year: 2024, Volume and Issue: unknown, P. 120483 - 120483
Published: Nov. 1, 2024
Language: Английский
Citations
0