Detection of Heavy Metals and Investigation of Their Association with Risk Factors for Metabolic Disorders in a Pakistani Population DOI Creative Commons

Ali Feezan,

Samina Afzal,

Syed Muhammad Shoaib

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 7, 2023

Abstract Environmental exposure to heavy metals, such as lead (Pb) and nickel (Ni), has been implicated in the development of chronic metabolic diseases, including diabetes mellitus (DM). This cross-sectional study aimed evaluate detection PB Ni ground water by ICP-OES urine samples participants ICP-MS found association between Pb risk factors for DM disorders participants. A total 2688 were recruited from district Sargodha Punjab, Pakistan. Participants categorized into Pb-exposed Ni-exposed groups, further stratified diabetic non-diabetic subgroups. In groundwater, Except pH, levels dissolved solids, electrical conductivity, hardness, turbidity exceeded guidelines set World Health Organization (WHO) concentrations groundwater WHO area. While participants, measured samples, various biomarkers related DM, lipid profile, inflammation, oxidative stress, liver function, kidney function assessed. The results showed significantly higher both individuals compared healthy had than non-diabetics, similarly, diabetics non-diabetics. These findings suggest that may contribute DM. also revealed associated with disruptions biomarkers. exhibited elevated glycemic index markers, fasting blood glucose (FBG) glycated hemoglobin A1c (HbA1c). inflammatory C-reactive protein (CRP) interleukin-6 (IL-6). Both dyslipidemia, indicated cholesterol LDL levels. Furthermore, impair evidenced AST, ALT, creatinine urea nitrogen. was MDA. study's supported correlation analyses, which demonstrated significant associations urinary disorders. conclusion, this provides substantial evidence linking a Pakistani population. highlight need stricter regulations preventive measures reduce metal contamination environment safeguard public health. Future longitudinal studies interventions are warranted elucidate mechanisms underlying diseases.

Language: Английский

Associations between individual and mixed urinary metal exposure and dyslipidemia among Chinese adults: Data from the China Multi-Ethnic Cohort Study DOI Creative Commons
Jianqin Zhong, Tingting Yang,

Ziyun Wang

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 282, P. 116696 - 116696

Published: July 9, 2024

The prevalence of dyslipidemia is increasing, and it has become a significant global public health concern. Some studies have demonstrated contradictory relationships between urinary metals dyslipidemia, the combined effects mixed metal exposure on remain ambiguous. In this study, we examined how individual are associated with occurrence dyslipidemia. According to data from 2018-2019 baseline survey database China Multi-Ethnic Cohort (CMEC) Study, population 9348 individuals was studied. Inductively coupled plasmamass spectrometry (ICP-MS) used measure 21 concentrations in collected adult samples. associations were analyzed by logistic regression, weighted quantile sum regression (WQS), quantile-based g-computation (qgcomp), controlled for potential confounders examine single effects. Dyslipidemia detected 3231 individuals, which represented approximately 34.6 % total population. single-exposure model, Al Na inversely risk (OR = 0.95, 95 CI: 0.93, 0.98; OR 0.89, 0.83, respectively), whereas Zn, Ca, P positively 1.69, 1.42, 2.01; 1.12, 1.06, 1.18; 1.21, 1.09, 1.34, respectively). Moreover, Zn significantly even after adjusting these metals, Cr negatively results WQS qgcomp analyses showed that mixtures 1.26, 1.15, 1.38; 1.01, 1.19). This positive association primarily driven P, Ca. sensitivity collinearity diagnosis, interaction, stratified analysis, remained, confirming reliability study findings. Ca determined, provided novel insights into link

Language: Английский

Citations

3
Adequate Intake of Dietary Fiber May Relieve the Detrimental Impact of Blood Lead on Dyslipidemia among US Adults: A Study of Data from the National Health and Nutrition Examination Survey Database DOI Open Access
Bin Li,

Fengzhan Zhang,

Haoqi Jiang

et al.

Nutrients, Journal Year: 2023, Volume and Issue: 15(20), P. 4434 - 4434

Published: Oct. 19, 2023

Lead (Pb) exposure is a well-established risk factor for dyslipidemia, and people are exposed to it in multiple ways daily. Dietary fiber presumed improve lipid metabolism disorders, but still unknown whether can relieve the detrimental impact of Pb on dyslipidemia. We used publicly accessible data from 2011–2016 cycles National Health Nutrition Examination Survey (NHANES). A total 2128 US adults were enrolled subsequent analysis. Heavy metal concentrations blood measured using inductively coupled plasma mass spectrometry (ICP-MS). weighted logistic regression was conducted calculate odds ratios (ORs) 95% confidence intervals (CIs). The dose–response relationship between heavy metals dyslipidemia explored restricted cubic spline (RCS) After fully adjusting potential confounding factors (age, gender, race, education level, ratio family income poverty, marital status, body index, physical activity, waist circumference, smoke, alcohol drinking history metabolic syndrome, hypertension, diabetes), positive association levels revealed (OR = 1.20, CI: 1.03–1.40). intake may significantly modify (p-interaction 0.049), with stronger 1.26, 1.05–1.52) being individuals an inadequate dietary (<14 g/1000 kcal/day), null 1.01, 0.72–1.42) observed those adequate (≥14 kcal/day). Moreover, RCS analysis showed that compared average level (4.24 µg/dL), lower (3.08 µg/dL) contribute group intake. Our findings suggest be However, offset caused by exposure. Since avoiding daily life difficult, increasing future might promising approach alleviate

Language: Английский

Citations

7
Metal exposure and blood lipid biomarkers in early pregnancy: A cross-sectional study DOI
Rui Yang, Fengjiang Sun, Xiong‐Fei Pan

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 355, P. 124238 - 124238

Published: May 27, 2024

Language: Английский

Citations

2
Associations of Urinary Heavy Metal Mixtures with High Remnant Cholesterol among US Adults: Evidence from the National Health and Nutrition Examination Survey (1998–2018) DOI Creative Commons
Hui Li,

Bei-Jing Cheng,

Peiyan Yang

et al.

Toxics, Journal Year: 2024, Volume and Issue: 12(6), P. 430 - 430

Published: June 13, 2024

The main objective of our study is to explore the associations between combined exposure urinary heavy metals and high remnant cholesterol (HRC), a known cardiovascular risk factor. Utilizing data from National Health Nutrition Examination Survey (NHANES) 1999 2018, we conducted cross-sectional analysis 5690 participants, assessing concentrations ten metals. Ten in urine were measured by inductively coupled plasma mass spectrometry (ICP-MS). Fasting residual ≥0.8 mmol/L was defined as HRC (using blood samples). Statistical analyses included weighted multivariable logistic regression, quantile sum (WQS) g-computation (qgcomp), Bayesian kernel machine regression (BKMR) evaluate metal with HRC. Stratified based on individual characteristics also conducted. Multivariable found that four (OR Q4 vs. Q1: 1.33, 95% CI: 1.01–1.75 for barium (Ba); OR 1.50, 1.16–1.94 cadmium (Cd); 1.52, 1.15–2.01 mercury (Hg); 1.35, 1.06–1.73 lead (Pb)) positively correlated elevated after adjusting covariates. In addition, all three mixed models, including WQS (OR: 1.25; 1.07–1.46), qgcomp 1.17; 1.03–1.34), BKMR, consistently showed significant positive correlation co-exposure mixtures HRC, Ba Cd being contributors within mixture. These more pronounced younger adults (20 59 years), males, those higher body index status (≥25 kg/m2). Our findings reveal relationship mixture among US adults, major mixture’s overall effect. Public health efforts aimed at reducing can help prevent and, turn, disease.

Language: Английский

Citations

2
Sex- and age-specific associations of serum essential elements with diabetes among the Chinese adults: a community-based cross-sectional study DOI Creative Commons
Dongmei Wang, Hong Ye, Siyang Liu

et al.

Nutrition & Metabolism, Journal Year: 2024, Volume and Issue: 21(1)

Published: July 9, 2024

Abstract Background Although several studies have found the relationship between essential elements and diabetes, about association of with diabetes diagnosed according to an oral glucose tolerance test (OGTT) glycated hemoglobin (HbA1c) in a sex- age-specific manner were limited. To investigate linear nonlinear five including iron (Fe), copper (Cu), Zinc (Zn), magnesium (Mg), calcium (Ca) fasting plasma (FPG), 2-h postprandial (PPG), HbA1c evaluate heterogeneities these relationships. Methods A total 8392 community-dwelling adults recruited complete questionnaire undergo checkups anthropometric parameters serum levels metals (Fe, Cu, Zn, Mg, Ca). The multivariable logistic regression, restricted cubic spline (RCS) analysis, subgroup analysis applied find associations prevalence as well FPG, PPG, HbA1c. Results In regression Cu was positively associated while Mg significantly inversely correlated HbA1c, (all P < 0.001). RCS non-linear ( 0.001) found. stronger positive for interaction = 0.027) PPG 0.002) younger women. Conclusions These findings may lead more appropriate approaches supplementation people different ages sexes. However, prospective cohort experimental are needed probe possible mechanism diabetes.

Language: Английский

Citations

2
Association between blood lead, cadmium, selenium levels and hyperlipidemia: A population-based study DOI Creative Commons

Yangping Zhuang,

Yu Wang,

Peifen Sun

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(8), P. e0306573 - e0306573

Published: Aug. 15, 2024

Background There are limited epidemiological investigations of blood metal levels related to hyperlipidemia, and results indicating the association between lead (Pb), cadmium (Cd) selenium (Se), lipid biomarkers have been conflicting. Methods We included populations for which NHANES collected complete data. Multivariate logistic regression subgroup analyses were conducted ascertain relationship Pb, Cd, Se hyperlipidemia. Nonlinear relationships characterized by smoothed curve fitting threshold effect analysis. Results 5429 participants in all, with a mean age 53.70 ± 16.63 years, included; 47.1% subjects male, 3683 (67.8%) them had After modifying variables confounders multivariate model, we discovered positive correlation Pb hyperlipidemia (Pb: OR:2.12, 95% CI:1.56–2.88; Se: OR:1.84, CI:1.38–2.45). Gender, age, smoking status, alcohol use hypertension, diabetes, body mass index not significantly linked this correlation, according analysis interaction test ( P interaction>0.05). Positive correlations risk found using smooth fitting. Conclusions This study demonstrates that higher an increased

Language: Английский

Citations

2
Associations of Dietary Magnesium Intake with All-Cause and Cause-Specific Mortality Among Individuals with Gout and Hyperuricemia DOI

Xuanni Lu,

Anqi Wang, Ke Liu

et al.

Biological Trace Element Research, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 3, 2024

Language: Английский

Citations

2
Comparative mathematical modeling of causal association between metal exposure and development of chronic kidney disease DOI Creative Commons

Miaoling Wu,

Weiming Hou,

Ruonan Qin

et al.

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

Published: May 1, 2024

Background Previous studies have identified several genetic and environmental risk factors for chronic kidney disease (CKD). However, little is known about the relationship between serum metals CKD risk. Methods We investigated associations levels among 100 medical examiners 443 patients in center of First Hospital Affiliated to China Medical University. Serum metal concentrations were measured using inductively coupled plasma mass spectrometry (ICP-MS). analyzed influencing CKD, including abnormalities Creatine Cystatin C, univariate multiple analysis such as Lasso Logistic regression. Metal at different stages also explored. The study utilized machine learning Bayesian Kernel Machine Regression (BKMR) assess predict based on metals. A chained mediation model was applied investigate how interventions with heavy influence renal function indicators (creatinine cystatin C) their impact diagnosing treating impairment. Results potassium (K), sodium (Na), calcium (Ca) showed positive trends while selenium (Se) molybdenum (Mo) negative trends. mixtures had a significant effect when all from 30 th 45 percentiles compared median, but opposite observed 55 60 percentiles. For example, change K concentration 25 75 percentile associated increase 5.15(1.77,8.53), 13.62(8.91,18.33) 31.81(14.03,49.58) other fixed , 50 percentiles, respectively. Conclusions Cumulative exposures, especially double-exposure Se may methods validated external relevance factors. Our highlights importance employing diverse methodologies evaluate health effects mixtures.

Language: Английский

Citations

1
Impact of Lead and Nickel Contamination on Metabolic Health: Associations with Diabetes Mellitus in a Pakistani Cohort DOI Creative Commons

Ali Feezan,

Samina Afzal,

Syed Muhammad Shoaib

et al.

Emerging contaminants, Journal Year: 2024, Volume and Issue: 11(1), P. 100419 - 100419

Published: Oct. 2, 2024

Language: Английский

Citations

1
Associations of per- and polyfluoroalkyl substances and heavy metals with blood lipid profiles in a representative sample of Korean adolescents DOI Creative Commons

Youlim Kim,

Sanghee Shin,

Yunsoo Choe

et al.

Environmental Health, Journal Year: 2024, Volume and Issue: 23(1)

Published: Nov. 22, 2024

Abstract Background Previous studies on the associations of per- and polyfluoroalkyl substances (PFASs) heavy metals with lipid profiles among adolescents have been scarce. We sought to investigate PFASs blood levels in a representative sample Korean adolescents. Methods Data from National Environmental Health Survey (2018–2020) were used. Concentrations [perfluorooctanoic acid (PFOA), perfluorooctane sulfonic (PFOS), perfluorohexane acid, perfluorononanoic (PFNA), perfluorodecanoic (PFDeA)], lead, mercury measured serum, whole blood, urine samples, respectively. Linear regression, Bayesian kernel machine regression (BKMR), k-means clustering analyses employed evaluate between pollutants levels. Results In linear analyses, PFOA associated higher low-density lipoprotein cholesterol (LDL-C) levels; PFOS total (TC) PFNA TC, LDL-C, non-high-density (non-HDL-C) PFDeA non-HDL-C, high-density TC non-HDL-C The BKMR analysis revealed that PFAS metal mixture was LDL-C (1.8% increase at 75th percentile all concentrations compared their median values, 95% credible interval: 0.5, 3.1), primarily driven by effect PFDeA. Compared individuals low pollutant exposure cluster (geometric mean PFOA, PFOS, PFHxS, PFNA, PFDeA, 2.7 μg/L, 6.2 1.6 0.7 0.4 0.8 μg/dL, 0.3 respectively), those high (5.1 10.7 3.7 1.3 0.6 0.9 respectively) demonstrated (2.5% confidence 0.1, 5.0) analysis. Conclusion Due limitations this study, such as its cross-sectional design, these results should be interpreted cautiously confirmed future before drawing implications for public health strategies aimed promoting during adolescence later life.

Language: Английский

Citations

0