Associations between serum metal mixtures and systemic inflammation indices among Chinese early adolescents: A prospective cohort study

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 292, P. 117952 - 117952

Published: Feb. 26, 2025

Language: Английский

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Association of two novel systemic inflammatory biomarkers and frailty based on NHANES 2007–2018

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: April 8, 2024

Background Frailty is a significant concern in the field of public health. However, currently, there lack widely recognized and reliable biological markers for frailty. This study aims to investigate association between systemic inflammatory biomarkers frailty older adult population United States. Methods employed data from National Health Nutrition Examination Survey (NHANES) spanning 2007 2018 conducted rigorous cross-sectional analysis. We constructed weighted logistic regression models explore correlation Systemic Immune-Inflammation Index (SII), Inflammatory Response (SIRI), aged 40 80 years. Using restricted cubic spline (RCS), we successfully visualized relationship SII, SIRI, Finally, presented stratified analyses interaction tests covariates forest plot. Results involved 11,234 participants, 45.95% male 54.05% female, with an average age 64.75 ± 0.13 After adjusting relevant covariates, model indicated odds ratio (OR) 95% confidence interval(CI) natural logarithm (ln) transformed lnSII lnSIRI as 1.38 (1.24–1.54) 1.69 (1.53–1.88), respectively. Subsequently, assessed different levels lnSIRI, finding consistent results. In group model, likelihood significantly increased fourth quartile (OR = 1.82, CI: 1.55–2.12) compared second quartile. third 1.30, 1.10–1.53) 2.29, 1.95–2.70) The results indicate that income-to-poverty influence RCS demonstrated nonlinear lnSII, Conclusion this positive (SII, SIRI)

Language: Английский

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Serum albumin and liver dysfunction mediate the associations between organophosphorus pesticide exposure and hypertension among US adults

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 948, P. 174748 - 174748

Published: Oct. 1, 2024

Language: Английский

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Association between neutrophil-percentage-to-albumin ratio (NPAR) and metabolic syndrome risk: insights from a large US population-based study

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 4, 2024

Metabolic syndrome (MetS) is a cluster of conditions that increase the risk cardiovascular disease and diabetes. This study aimed to investigate association between Neutrophil-Percentage-to-Albumin Ratio (NPAR) MetS in large, nationally representative US population. We analyzed data from 28,178 participants National Health Nutrition Examination Survey (NHANES) 2005–2018. Logistic regression models were used evaluate NPAR MetS. Restricted cubic spline (RCS) employed assess dose-response relationship. Mediation analyses conducted explore potential mediating effects serum uric acid triglyceride-glucose (TyG) index. After adjusting for confounders, highest quartile had 14% higher compared those lowest (OR 1.14, 95%CI 1.03–1.27, P = 0.010). RCS revealed monotonic increasing trend (P overall 0.002). showed TyG index mediated 14.93% 29.45% total effect on MetS, respectively. Subgroup indicated positive was more pronounced Mexican Americans, individuals aged 20–65 years, with lower income, males, current smokers, moderate drinkers. Higher associated increased adult partially by These findings suggest may serve as novel biomarker assessment provide insights into mechanisms linking inflammation metabolic disorders.

Language: Английский

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Exposure to urinary polycyclic aromatic hydrocarbon metabolites for the effect of lung function among children and adolescents: Epidemiological study and mechanism exploration

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 292, P. 117990 - 117990

Published: March 1, 2025

Human are widely exposed to polycyclic aromatic hydrocarbon (PAHs), but existing evidence about exposure urinary PAHs metabolites for pulmonary health in children and adolescents is limited. Our aim was examine the effect of single mixed on lung function among adolescents. We included 1417 individuals aged 6-19 years from 3 survey cycles (2007-2008, 2009-2010, 2011-2012) NHANES program. Multivariable linear regression model conducted relationship between index including FEV1, FVC FEV1/FVC. BKMR WQS were used evaluate joint effects index. Mediation analyses performed investigate mediating role inflammation related Hub proteins screened by network toxicology validated using molecular docking. results indicated that 3-FLU negatively linked with FEV1 FEV1/FVC; 1-OHP FEV1; 1-PYR FVC. In addition, 3-OHP positively corrected three parameters. models, co-exposure all Systemic response mediated I-PYR as well FVC, 8 % 6 proportion. IL-6, STAT3, TNF, TP53 common targets PAHs, docking analysis. Taken together, our findings raise concerns potential hazards environmentally relevant respiratory system vulnerable population guide future research into toxic mechanisms metabolites-mediated injury, which has important public implications.

Language: Английский

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Association between neutrophil-percentage-to-albumin ratio and diabetic kidney disease in type 2 diabetes mellitus patients: a cross-sectional study from NHANES 2009–2018

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 16

Published: March 6, 2025

Background The neutrophil-percentage-to-albumin ratio (NPAR), as a low-cost and easily accessible inflammatory biomarker, has garnered considerable attention in various disease studies recent years. Specifically, existing research suggested significant correlation between NPAR diabetic retinopathy, indicating its potential relevance to complications. However, despite kidney (DKD) being complication that severely affects the quality of life patients, association prevalence DKD remains be elucidated. Therefore, this study aims explore link patients with type 2 diabetes mellitus. Methods We extracted complete data on neutrophil percentage, plasma albumin, serum creatinine, urine albumin-to-creatinine from National Health Nutrition Examination Survey database spanning 2009 2018. Multivariable logistic regression models were employed examine relationship levels DKD, conducted sensitivity tests, subsequently employing Generalized Additive Models combined smooth curve fitting methods relationships among variables. Then, subgroup analyses investigate changes across different subgroups. Finally, Receiver operating characteristic curves used assess predictive performance independent variable, NPAR, for dependent DKD. Results A total 2,263 participants enrolled cross-sectional study. After adjusting confounding factors, odds was 1.44 (95% CI: 1.08-1.90) second quartile group, 1.75 1.33-2.31) third 2.95 2.22-3.93) fourth group. Among mellitus, positive observed showed no differences populations. (ROC) analysis indicated had good Conclusion individuals T2DM. Additional large-scale prospective investigations may helpful corroborating these findings.

Language: Английский

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Association between systemic inflammation indicators and psoriasis: a cross-sectional study from NHANES

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: March 13, 2025

Objectives To Investigate the association between systemic inflammatory indicators and psoriasis in adult population of United States. Methods We analyzed data from 16,575 participants National Health Nutrition Examination Survey (NHANES) conducted years 2003-2004 2009-2014. employed multivariable logistic regression nonlinear curve fitting methods, which allowed us to evaluate associations inflammation such as NPAR, NLR, NHR, LHR, PHR, MHR. Furthermore, subgroup analyses were performed investigate whether these results remained true among various demographic groups. Finally, predictive efficacy was assessed through AUC values ROC curves. Results Among study participants, 432 (2.6%) had psoriasis. There a remarkable positive found NPAR. After adjusting for confounding factors, it that each 10-unit increase NPAR associated with 90% higher chance developing (OR=1.90, 95% CI 1.11-3.26). Similarly, odds prevalence increased by 10% every unit rise NLR (OR=1.10, 1.12-1.18). full adjustment, however, there no discernible distinction NHR (OR=1.03, 0.98-1.08). identified relationship like specific breakpoints at 16.386, 3.269, 4.286, respectively. Subgroup analysis provided additional evidence this consistent different groupings. demonstrated showed better accuracy predicting prevalence. Conclusion The indicates affiliation occurrence Nevertheless, confirm discoveries underlying mechanisms, more extensive prospective research is necessary.

Language: Английский

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Association between multiple metals mixture and diabetic retinopathy in older adults with diabetes mellitus: a cross-sectional study in China

Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(5)

Published: April 1, 2025

Language: Английский

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Machine learning based association between inflammation indicators (NLR, PLR, NPAR, SII, SIRI, and AISI) and all-cause mortality in arthritis patients with hypertension: NHANES 1999–2018

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: April 4, 2025

Background This study aimed to evaluate the relationship between CBC-derived inflammatory markers (NLR, PLR, NPAR, SII, SIRI, and AISI) all-cause mortality (ACM) risk in arthritis (AR) patients with hypertensive (HTN) using data from NHANES. Methods We employed weighted multivariable logistic regression WQS explore ACM AR patients, as well determine weights of different markers. Kaplan–Meier curves, restricted cubic splines (RCS) ROC curves were utilized monitor cumulative survival differences, non-linear relationships diagnostic utility for risk, respectively. Key selected XGBoost LASSO machine learning methods, a nomogram prognostic model was constructed evaluated through calibration decision curve analysis (DCA). Results The included 4,058 HTN, 1,064 deaths over median 89-month follow-up. All six significantly higher deceased group ( p < 0.001). Weighted showed these markers’ elevated levels correlated increased across all models linked marker scores lower rates HTN found positive correlation 0.001), NPAR having greatest impact (70.02%) SIRI next (29.01%). had highest AUC (0.624) prediction, closely followed by (AUC = 0.618). identified most influential markers, LASSO-based correlating (HR, 2.07; 95% CI, 1.83–2.35; 0.01). RCS revealed correlations (Pnon-linear<0.01) showing sharp increase when >148.56 >1.51. A optimally predicted overall survival. Conclusion These results underscore necessity monitoring managing indicators clinical settings potentially improving patient outcomes.

Language: Английский

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Systemic inflammatory biomarkers as mediators of the association between dietary flavonoids and sleep disorders in patients with hypertension: A population-based study

Journal of Functional Foods, Journal Year: 2025, Volume and Issue: 128, P. 106788 - 106788

Published: April 11, 2025

Language: Английский

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