Association Between Zinc-to-Copper Ratio and Hypertension in Populations with Differential Environmental Heavy Metal Exposure.

Selenium predominance in heavy metal mixtures is associated with hyperuricemia in Chinese adults: the role of insulin resistance

Insulin resistance might be a crucial mediated pathway between Se and outcomes and three multi-pollutant models revealed positive associations between metal mixtures and SUA as well as HUA, with Se being the primary contributor.

Association of Mixed Metal Exposures with Cardiovascular Disease: Insights from a Population-Based Study

Findings highlight the toxicological relevance of metal mixtures in cardiovascular disease and underscore the need for mechanistic studies to establish causality.

The association between mixed exposure to multiple metals and the risk of abnormally elevated blood glucose among aluminum factory workers

Blood Pressure and It’s Association with Heavy Metal Exposure andAdiposity Indices Among Overweight and Obese Adults in Kaélé,Cameroon: A Cross-Sectional Study

Introduction: Hypertension is a major public health challenge worldwide. In low- and middle-income countries, hypertension is rapidly increasing and contributes substantially to premature mortality. It is commonly associated with overweight and obesity. Growing evidence also indicates that environmental pollutants, par...

Environmental blood cadmium tracks with albuminuria at concentrations far below ToxCast AC50s.

Cadmium is a cumulative nephrotoxicant that injures the proximal tubule through oxidative stress and disrupted metal handling. Whether contemporary low-level exposure associates with albuminuria, and how those internal concentrations compare with in vitro bioactivity, remains incompletely defined. In NHANES 2011-2018 a...

Associations of Serum Trace-Element Concentrations with Selected Blood Biomarkers: A Secondary Cross-Sectional Analysis of the SPES Cohort

Low-density lipoprotein cholesterol and neutrophil-to-lymphocyte ratio were co-primary outcomes; systemic immune–inflammation index (SII) was secondary; Adjusted models used multiple imputation and false-discovery-rate (FDR) correction.