Metallomics analysis of metal exposure and cognitive function in older adults: A combined epidemiological and bioinformatics study

Trace elements and cognitions in elderly population: a case-control study

There have been almost no studies with trace elements and psychological battery in cognitively impaired elderly individuals. Such research is crucial to enhance diagnostic accuracy. We aim to identify significant differences in blood serum concentration levels of trace elements, Hindi Mini-Mental State Examination (HMMSE), and psychological battery as Hindi Mattis Dementia Rating Scale (HMDRS) scores between case and control groups in the elderly. A cross-sectional research design was conducted with a total of 240 subjects, comprising 120 each from the case and control groups. Trace elements were analyzed using Atomic Absorption Spectrometry. HMMSE and HMDRS tests were administered to assess cognition scores. The chi-square test, t-test, and appropriate statistics were utilized. Our findings indicate significant differences in demographic factors (age, gender, education level) and clinical levels (p < .001), while caste, habitat, and marital status were not significant (p < .05). Concentration levels of Iron (Fe) and Copper (Cu) was higher, Zinc (Zn), Chromium (Cr), and Selenium (Se) were lower, significantly different (p < .001), but Magnesium (Mg) was not (p < .05). Additionally, third HMMSE and HMDRS were significant (p < .001) between the case and control groups in the elderly. The study suggested that higher levels of Fe and Cu, while lower Zn, Cr, and Se blood serum concentrations increased the risk of cognitive impairments in the elderly population, demonstrated by the HMMSE and HMDRS test scores which were lower in the case group.

Prenatal metals and offspring cognitive development: Insights from a large-scale placental bioassay study

The developing foetus is particularly sensitive to neurotoxic metals. The placenta is considered an ideal tissue for biomonitoring prenatal cumulative metal exposure. Based on the Ma'anshan Birth Cohort study (MABC) in China, this study investigated associations of non-essential metals and essential metals in placenta, including arsenic (As), cadmium (Cd), mercury (Hg), lead (Pb), cobalt (Co), selenium (Se) and zinc (Zn), with cognitive development in children among 1586 mother-child pairs. Also, we explored potential interactions between the metals and modifying role of the sex. Children's cognitive development was tested at preschool age using the Wechsler Preschool and Primary Scale of Intelligence, Fourth Edition (WPPSI-IV). Analyses used multiple linear regression, Bayesian kernel machine regression (BKMR), the quantile g-computation (Qgcomp), interaction and marginal effects models, and restricted cubic spline in R and STATA. In this study, the geometric means [GMs (SD)] for placental metal concentrations were 8.10 (7.54) ng/g for As, 32.32 (29.20) ng/g for Cd, 11.89 (13.33) ng/g for Hg, 32.21 (28.24) ng/g for Pb, 15.05 (8.91) ng/g for Co, 508.82 (192.35) ng/g for Se, 18481.60 (14030.61) ng/g for Zn. In individual models, placental As levels were negatively associated with the Fluent Reasoning Index (FRI) in the overall sample. Cd levels were negatively associated with the full-scale intelligence quotient (FSIQ), the Verbal Comprehension Index (VCI) and the Visual Spatial Index (VSI). The four metal mixture (As, Cd, Hg and Pb) was negatively associated with FSIQ, VCI, VSI and FRI. Placental Cd and As were the largest contributors to the negative mixture association on the FSIQ. The negative associations of placental As, Cd and Hg with FSIQ in children were gradually attenuated with increasing Zn and Se. After stratifying by sex, the individual and mixture associations between elevated placental non-essential metal exposures and reduced cognitive scores were significant only in boys. Zn and Se were the major contributors to the positive mixture associations on the FSIQ. In summary, prenatal exposure to As, Cd and Hg has sex-specific adverse associations on children's cognitive development. A more accurate assessment of the necessity of prenatal supplementation of micronutrients including Zn and Se is needed.

Multi-metal mixture exposure and cognitive function in urban older adults: The mediation effects of thyroid hormones

The existing studies on the association between multi-metal mixture exposure and cognitive function in the older adults are limited and controversial, with no studies considering the mediating effect of thyroid hormones on the connection between them. This study of 441 urban older adults assessed 21 urinary metal levels and cognitive function using the Mini-Mental State Examination (MMSE). Urinary metal levels were measured via inductively coupled plasma mass spectrometry (ICP-MS), and thyroid hormones levels were obtained from medical records. Mediation analysis evaluated the role of thyroid hormones in the link between metals exposure and cognitive function. The General Linear Model (GLM) showed negative correlations between MMSE scores and titanium (Ti), copper (Cu), rubidium (Rb), and molybdenum (Mo), and positive correlations with selenium (Se) and barium (Ba). Nonlinear inverse U-shaped associations between Mo, Rb, and MMSE scores were identified using Restricted Cubic Splines (RCS) and Bayesian Kernel Machine Regression (BKMR). Mediation analysis revealed that Free Thyroxine (FT4) mediated the relationship between Rb and MMSE scores by 29.10 % and between Zinc (Zn) and language performance by 35.00 %. Total thyroxine (TT4) mediated the link between Cu and orientation score by 24.69 %, and Thyroid Stimulating Hormone (TSH) mediated the association between Cu and attention score by 38.96 %. Ti, Se, Rb, Mo, Ba and Cu were significantly associated with cognitive impairment risk. Mixed exposure to Mo and Rb was linked to an increased risk of cognitive impairment. Additionally, levels of TSH, FT4 and TT4 were associated with cognitive function, mediating the effects of Rb, Zn and Cu on cognitive function.

Deciphering the impact of heavy metal mixed exposure on lipid metabolism using three statistical models

Lipid metabolism disorders pose a significant threat to human health. However, the relationship between heavy metal mixed exposure and lipid metabolism remains poorly understood. This study recruited 1717 residents living near a chromium factory in northeast China. The concentrations of blood Cr, Mn, Cd, Pb, V, and serum CHOL, TG, LDL and HDL levels were measured. Generalized linear model (GLM), quantile g-computation (Qg-comp), and Bayesian kernel machine regression (BKMR) were simultaneously employed to investigate the associations between heavy metal mixed exposure and lipid markers levels. GLM analysis revealed significant associations between blood Cr concentration and HDL (β =  -0.07; 95%CI:  -0.09,  -0.05), LDL (β =  -0.06; 95%CI:  -0.11,  -0.02), and CHOL (β = 0.07; 95%CI: 0.01, 0.12) levels. V concentration was positively associated with HDL (β = 0.12; 95%CI: 0.06, 0.18) and LDL (β = 0.17; 95%CI: 0.04, 0.30) levels. Qg-comp analysis indicated a negative association between heavy metal mixed exposure and HDL (β =  -0.040; 95%CI:  -0.073,  -0.006) level. BKMR model further confirmed the negative relationship between heavy metal mixed exposure and HDL, with the interaction between blood Cr (> 1.05 μg/L) and blood V (> 5.16 μg/L) contributing to decreased HDL levels. Our findings suggested that heavy metal mixed exposure had impacts on HDL and CHOL levels, and the Cr and V may mutually play a predominant role in the observed abnormal HDL levels.

Oxidative stress mediates the association of organophosphate flame retardants with metabolic obesity in U.S. adults: A combined epidemiologic and bioinformatic study

Obesity is a global public health issue, with limited epidemiologic studies on the relationship and mechanisms between organophosphate flame retardants (OPFRs) and metabolic obesity phenotypes (MOPs). We aimed to explore the link between OPFRs metabolite (m-OPFRs) and MOPs using a combined epidemiologic and bioinformatic approach. We used cross-sectional survey data from the U.S. National Health and Nutrition Examination Survey (2011-2018) to analyze the relationship between m-OPFRs and metabolic health obesity (MHO), as well as metabolic unhealthy obesity (MUO). The dataset encompasses eligible adults to assess the impact of individual, mixed, and mediated effects on the outcome variables through multivariate logistic regression, Bayesian kernel machine regression (BKMR), and mediation analysis. Multiple logistic regression models, stratified by tertiles of exposure showed that bis(1,3-dichloro-2-propyl) phosphate (BDCIPP) levels in the body significantly increased the risk of MHO, with OR and 95%CI of 1.454 (1.082, 1.953) for the second tertile (T2) and 1.598 (1.126, 2.268) for the third tertile (T3), compared to the first tertile (T1). Increased levels of BDCIPP in T3 (1.452(1.013, 2.081)) are associated with MUO, compared to T1. Mixed m-OPFRs and MHO risk in BMKR were positively correlated, with BDCIPP being the primary contributor. We found that the serum uric acid (SUA) and white blood cell count (WBC) indicators significantly mediated the association between BDCIPP and MHO (P < 0.05). Our study suggests that OPFRs, either individual or mixed, are associated with two distinct MOPs, with oxidative stress playing an important role. In addition, in silico analysis was used to screen for shared genes, and eight shared genes and eleven biological pathways identified during the screening process were used to construct the adverse outcome pathway, which suggests that exposure to OPFRs may activate the peroxisome proliferator-activated receptor (PPAR) pathway, thereby increasing the risk of obesity. Further studies are needed to validate our findings.

Sex and age disparities in multi-metal mixture exposure and cognitive impairment in urban elderly individuals: The mediation effect and biological function of metabolites

Studies on the relationships between metal mixtures exposure and cognitive impairment in elderly individuals are limited, particularly the mechanism with metabolite. Few studies are available on the potential sex and age specific associations between metal exposure, metabolites and cognitive impairment. We examined plasma metal and blood metabolite concentrations among 1068 urban elderly participants. Statistical analysis included a battery of variable selection approaches, logistic regression for metal/metabolite associations, and Bayesian kernel machine regression (BKMR) to identify mixed effects of metals/metabolites on cognitive impairment risk. Our results showed that As was positively associated with cognitive impairment in the female (OR 95 % CI = 2.21 (1.36, 3.57)) and 60- to 70-year-old (OR 95 % CI = 2.60 (1.54, 4.41)) groups, Cr was positively associated with cognitive impairment in the male (OR 95 % CI = 2.15 (1.27, 3.63)) and 60- to 70-year-old (OR 95 % CI = 2.10 (1.24, 3.57)) groups, and Zn was negatively associated with cognitive impairment, especially in the female (OR 95 % CI = 0.46 (0.25, 0.84)), 60- to 70-year-old (OR 95 % CI =0.24 (0.12, 0.45)) and ≥ 80-year-old (OR 95 % CI = 0.19 (0.04, 0.86)) groups. Positive associations were observed between combined metals (Cr, Cu and As) and cognitive impairment, but Zn alleviated this tendency, especially in elderly individuals aged ≥80 years. Negative associations were observed between metabolites and cognitive impairment, especially in male, female and 60-70 years old groups. The mediation effects of metabolites on the association between metal exposure and cognitive impairment were observed, and the percentages of these effects were 15.60 % (Glu-Cr), 23.00 % (C5:1-Cu) and 16.36 % (Glu-Zn). Cr, Cu, and Zn could increase cognitive impairment risk through the "Malate-Aspartate Shuttle", "Glucose-Alanine Cycle", etc., pathways. Overall, we hypothesize that metabolites have mediation effects on the relationship between multi-metal exposure and cognitive impairment and that there are sex and age differences.

Exposure to Lead in Drinking Water Causes Cognitive Impairment via an Alzheimer's Disease Gene-Dependent Mechanism in Adult Mice

Background

Exposure to lead (Pb) is a major public health problem that could occur through contaminated soil, air, food, or water, either during the course of everyday life, or while working in hazardous occupations. Although Pb has long been known as a neurodevelopmental toxicant in children, a recent and growing body of epidemiological research indicates that cumulative, low-level Pb exposure likely drives age-related neurologic dysfunction in adults. Environmental Pb exposure in adulthood has been linked to risk of late-onset Alzheimer's disease (AD) and dementia.

Objective

Although the biological mechanism underlying this link is unknown, it has been proposed that Pb exposure may increase the risk of AD via altering the expression of AD-related genes and, possibly, by activating the molecular pathways underlying AD-related pathology.

Methods

We investigated Pb exposure using a line of genetically modified mice with AD-causing knock-in mutations in the amyloid precursor protein and presenilin 1 (APPΔNL/ΔNL x PS1P264L/P264L) that had been crossed with Leprdb/db mice to impart vulnerability to vascular pathology.

Results

Our data show that although Pb exposure in adult mice impairs cognitive function, this effect is not related to either an increase in amyloid pathology or to changes in the expression of common AD-related genes. Pb exposure also caused a significant increase in blood pressure, a well known effect of Pb. Interestingly, although the increase in blood pressure was unrelated to genotype, only mice that carried AD-related mutations developed cognitive dysfunction, in spite of showing no significant change in cerebrovascular pathology.

Conclusions

These results raise the possibility that the increased risk of dementia associated with Pb exposure in adults may be tied to its subsequent interaction with either pre-existing or developing AD-related neuropathology.