Correlation between urinary contents of some metals and fasting plasma glucose levels: A cross-sectional study in China

Mo, Xiaoting; Cai, Jiansheng; Lin, Yinxia; Liu, Qiumei; Xu, Min; Zhang, Junling; Liu, Shuzhen; Wei, Chunyang; Wei, Yanfei; Huang, Shenxiang; Mai, Tingyu; Tan, Dechan; Lu, Huaxiang; Luo, Tingyu; Gou, Ruoyu; Zhang, Zhiyong; Qin, Jian

doi:10.1016/j.ecoenv.2021.112976

Cited by 17 publications

(7 citation statements)

References 38 publications

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“…Furthermore, it was observed that the relationship between urinary strontium (β = 0.04 95% CI: 0.01, 0.1) and the likelihood of diabetes onset remained positively associated. One potential hypothesis is that these metallic elements might induce oxidative stress, suppress ATP synthesis, and elevate lipid production [29]. Metals generate reactive oxygen species that not only harm mitochondrial function but also alter enzyme activity, causing oxidative phosphorylation to disrupt the tricarboxylic acid cycle [30].…”

Section: Discussionmentioning

confidence: 99%

“…Statistical signi cance, as denoted by P values below 0.05, underscored these associations [16]. At the same time, another cross-sectional study also pointed out that urinary strontium concentrations were potentially correlated with the FBG level [17]. Several factors might explain the observed discrepancies, such as the variance in plasma metal levels, the impact of assorted confounding variables that emerged throughout the analytical procedure, and the distribution traits of distinct groups characterized by their dietary consumption patterns, genetic predispositions, and unique individual factors that prompt metabolic variations.…”

Section: Introductionmentioning

confidence: 99%

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Association between heavy metal exposure and the risk of developing type-2 diabetes in American adults: NHANES 2013-2018

Zhang,

Jing,

et al. 2023

Preprint

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Studies indicate a link between the presence of various heavy metals and the development of insulin resistance. We sought to evaluate the association between the levels of certain urinary metals, including barium, cadmium, lead, molybdenum, strontium, uranium, and others, with the incidence of diabetes. The prevalence of diabetes was assessed by retrieving and analyzing the health questionnaire for patients data from NHANES 2013 to 2018. We observed that urinary barium (β = 0.04 95% CI: 0.01, 0.1), urinary strontium (β = 0.04 95% CI: 0.01, 0.1) and urinary uranium (β=-0.02 95% CI: -0.04, 0.004) were positively correlated with the risk of developing diabetes. In addition, consistent trends were maintained in quantile regression models. After adjusting for covariates (sex, age, education level, race, BMI, income, and heavy metals) for the associations of urinary and blood heavy metals with the risk of developing diabetes (β = 0.03, 95% CI: -0.06, 0.11), urinary strontium (β = 0.00) and urinary uranium (β = 0.10, 95% CI: -0.22, 0.43) showed linear relationships with the risk of developing diabetes. The role of mixed heavy metal exposure was evaluated using weighted quantiles and a weighted quantile sum (WQS) model. According to the WQS analysis, a mixed exposure was substantially positively associated with the chance of acquiring diabetes (β = 1.02, 95% CI: 1.01, 1.03). Therefore, our research showed that there were positive correlations of strontium and uranium with the prevalence of diabetes, and strontium also had a substantial impact on mixed heavy metal exposure, which causes serious harm to the human body.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Association between heavy metal exposure and the risk of developing type-2 diabetes in American adults: NHANES 2013-2018

Zhang,

Jing,

et al. 2023

Preprint

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“…Interestingly, despite not detecting statistically significant associations between plasma Zn concentrations and fasting glucose or diabetes risk, we identified a highly significant positive association between urine Zn concentrations and these parameters in our population. Many other studies have found a link between urinary Zn concentrations and glycemia/diabetes [ 94 , 155 , 156 , 157 ]. However, the mechanisms underlying this association between Zn concentrations in urine and fasting glucose, but not in plasma, remain unclear.…”

Section: Discussionmentioning

confidence: 99%

Single and Combined Associations of Plasma and Urine Essential Trace Elements (Zn, Cu, Se, and Mn) with Cardiovascular Risk Factors in a Mediterranean Population

et al. 2022

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Trace elements are micronutrients that are required in very small quantities through diet but are crucial for the prevention of acute and chronic diseases. Despite the fact that initial studies demonstrated inverse associations between some of the most important essential trace elements (Zn, Cu, Se, and Mn) and cardiovascular disease, several recent studies have reported a direct association with cardiovascular risk factors due to the fact that these elements can act as both antioxidants and pro-oxidants, depending on several factors. This study aims to investigate the association between plasma and urine concentrations of trace elements and cardiovascular risk factors in a general population from the Mediterranean region, including 484 men and women aged 18–80 years and considering trace elements individually and as joint exposure. Zn, Cu, Se, and Mn were determined in plasma and urine using an inductively coupled plasma mass spectrometer (ICP-MS). Single and combined analysis of trace elements with plasma lipid, blood pressure, diabetes, and anthropometric variables was undertaken. Principal component analysis, quantile-based g-computation, and calculation of trace element risk scores (TERS) were used for the combined analyses. Models were adjusted for covariates. In single trace element models, we found statistically significant associations between plasma Se and increased total cholesterol and systolic blood pressure; plasma Cu and increased triglycerides and body mass index; and urine Zn and increased glucose. Moreover, in the joint exposure analysis using quantile g-computation and TERS, the combined plasma levels of Zn, Cu, Se (directly), and Mn (inversely) were strongly associated with hypercholesterolemia (OR: 2.03; 95%CI: 1.37–2.99; p < 0.001 per quartile increase in the g-computation approach). The analysis of urine mixtures revealed a significant relationship with both fasting glucose and diabetes (OR: 1.91; 95%CI: 1.01–3.04; p = 0.046). In conclusion, in this Mediterranean population, the combined effect of higher plasma trace element levels (primarily Se, Cu, and Zn) was directly associated with elevated plasma lipids, whereas the mixture effect in urine was primarily associated with plasma glucose. Both parameters are relevant cardiovascular risk factors, and increased trace element exposures should be considered with caution.

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“…Alcohol consumption was defined as ≥50 g of alcohol per month; smoking was defined as ≥1 cigarette/d; BMI was calculated on the basis of weight and height data as follows: BMI = weight (kg)/height (m 2 ); and hypertension was defined as systolic blood pressure of ≥140 mmHg or diastolic blood pressure of ≥90 mmHg or as indicated by current antihypertensive medications (20) . Diabetes mellitus was defined as glycosylated Hb (HbA1c) ≥ 6•5 %, fasting blood glucose ≥ 7•0 mmol/l or taking hypoglycaemic medications (21) .…”

Section: Definition Of Covariatesmentioning

confidence: 99%

Association between the dietary antioxidant index and relative telomere length of leucocytes in the Chinese population

Zhao,

Jin,

Zhang

et al. 2023

Br J Nutr

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Dietary antioxidant indices (DAI) may be potentially associated with relative telomere length in leukocytes (RTL). This study aimed to investigate the relationship between DAI and RTL. A cross-sectional study involving 1656 participants was conducted. A generalized linear regression model (GLM) and a restricted cubic spline (RCS) model were used to assess the correlation of DAI and its components with RTL. Generalized linear regression analysis revealed that DAI (β = 0.005, P = 0.002) and the intake of its constituents vitamin C (β = 0.043, P = 0.027), vitamin E (β = 0.088, P < 0.001), selenium (β = 0.075, P = 0.003), and zinc (β = 0.075, P = 0.023) were significantly and positively correlated with RTL. Gender-stratified analysis showed that DAI (β = 0.006, P = 0.005) and its constituents vitamin E (β = 0.083, P = 0.012), selenium (β = 0.093, P = 0.006), and zinc (β = 0.092, P = 0.034) were significantly and positively correlated with RTL among females. Meanwhile, among males, only vitamin E intake (β = 0.089, P = 0.013) was significantly and positively associated with RTL. RCS analysis revealed linear positive associations between DAI and its constituents’ (vitamin E, selenium, and zinc) intake and RTL in the total population. Sex-stratified analysis revealed a linear positive correlation between DAI and its constituents’ (vitamin E, selenium, and zinc) intake and RTL in females. Our study found a significant positive correlation between DAI and RTL, with gender differences.

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Correlation between urinary contents of some metals and fasting plasma glucose levels: A cross-sectional study in China

Cited by 17 publications

References 38 publications

Association between heavy metal exposure and the risk of developing type-2 diabetes in American adults: NHANES 2013-2018

Association between heavy metal exposure and the risk of developing type-2 diabetes in American adults: NHANES 2013-2018

Single and Combined Associations of Plasma and Urine Essential Trace Elements (Zn, Cu, Se, and Mn) with Cardiovascular Risk Factors in a Mediterranean Population

Association between the dietary antioxidant index and relative telomere length of leucocytes in the Chinese population

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