Disease-associated metabolic pathways affected by heavy metals and metalloid

AMPK Signaling Axis-Mediated Regulation of Lipid Metabolism: Ameliorative Effects of Sodium Octanoate on Intestinal Dysfunction in Hu Sheep

At the present stage, heavy metal pollution, led by environmental exposure to cadmium (Cd), has caused incalculable losses in animal husbandry. The potential value of caprylic acid as a medium- and long-chain fatty acid with a unique role in regulating lipid metabolism has attracted much attention. Our previous study found that octanoic acid levels were significantly reduced under Cd-exposed conditions in Hu Sheep, on the basis of which we investigated the protective effect of sodium octanoate, a derivative of octanoic acid, against Cd exposure in Hu Sheep in the present study. In this study, an animal model of Cd exposure in Hu Sheep was established. Comprehensive assessment of Cd-induced intestinal injury using hematoxylin and eosin (H&E) staining, immunostaining and carried out in-depth analyses combined with lipid metabolomics and transcriptomics. The results showed that Cd exposure triggered intestinal inflammation, barrier function damage and oxidative stress imbalance. Lipid metabolomics analysis showed that Cd exposure severely disrupted lipid metabolic processes, especially the glycerophospholipid metabolic pathway, suggesting that lipid metabolic disorders are closely related to intestinal injury. Notably, sodium octanoate could partially reverse the lipid metabolism abnormality by regulating the Adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK) signaling pathway, effectively alleviating the Cd toxicity, which provides a brand-new prevention and control strategy for Cd-induced intestinal injury in the livestock industry pollution-mediated disease.

Decoding the prospective of metal complexes in anti-cancer therapeutics by targeting of G-quadruplex DNA

The use of metallodrugs in cancer therapy received widespread interest after the successful application of cisplatin and its analogous compounds as chemotherapeutic medications. Despite the development of various metallodrugs in past years, platinum-based chemotherapeutic agents are the only clinically approved metallodrugs that primarily interact with genomic DNA and trigger severe dose-limiting adverse side effects in cancer patients. As a consequence, the advancement of new risk-free metallodrugs has become a topmost concern in cancer research to minimize toxicity and improve therapeutic outcomes. G-quadruplex (G4) DNA structures have recently come to light as an attractive drug target in cancer therapy because of their gene regulation ability and role in maintaining genomic stability. Their presence in telomere and promoter region of oncogenes has the potential to induce apoptosis in cancer cells through the inhibition of telomerase activity and gene expression. Therefore, the development of new G4 DNA targeting small molecular entities including metal complexes came out as a viable approach for uprooting cancer disease. Beyond organic small molecules, innumerable metal complexes have been developed in past years to target G4 DNA structures in the context of cancer therapy. This review primarily aims to highlight these metal complexes through a comprehensive discussion about their structural properties, their binding interactions with G4 DNA, their cancer cell growth inhibition mechanisms, and their efficacy in both cellular and in vivo systems, to decode their potential as anti-cancer drugs. Additionally, the potential of these metal complexes in the field of bio-imaging and photodynamic therapy is also explored.

Gastrointestinal-Ocular Toxicity Following Systematic Ingestion of Nickel-Cadmium Contaminated Water in Wistar Rats Demonstrates Possible Health Complications Characterized by Oxidative Stress, Inflammatory and Histological Changes

The study evaluated the biochemical and histopathological alterations of subacute nickel (Ni) and cadmium (Cd) exposure on the gastrointestinal and ocular systems of male Wistar albino rats via ingestion of contaminated water. Four groups of six rats each were exposed to uncontaminated water (group A as control), 100 mg/L of Cd (group B), 100 mg/L of Ni (group C), and a combination of 100 mg/L Cd and Ni (group D) for 28 days. The stomach, intestinal, and ocular weights were recorded and were significantly reduced (p ≤ 0.05) in the treatment groups when compared to the control, but the effect was profound in group D rats, as compared with groups B and C rats. The assessed amylase, lipase, and alkaline phosphatase (ALP) activities were significantly impaired (p > 0.05) in the tissues with some exceptions among treatment groups relative to the control. The increased stomach, intestinal, and ocular malondialdehyde (MDA) levels (p ≤ 0.05) affirmed the induction of oxidative stress among treatment groups with depleted antioxidant defense system in assessed tissues, but no significant change (p > 0.05) in ocular reduced glutathione (GSH) level was observed, as compared with the control. The tumour necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and interleukin-10 (IL-10) levels assessed were significantly elevated (p ≤ 0.05) in the tissues of groups B and D rats with some exceptions among group C rats when compared to the control. The histological alteration characterized by cellular degeneration, oxidative damage, inflammation, and tissue necrosis further affirmed the synergistic impacts with indications of gastritis, retinal dysfunction, and ocular impairment in predisposed rats.

Natural gums-derived hydrogels for adsorptive removal of heavy metals: A review

This review explores advancing and refining hydrogels derived from natural gums for heavy metal ion adsorption, focusing on their efficiency, capacity, and influencing parameters. The high adsorption capacity of these hydrogels, with values reaching up to 384.6 mg/g (Pb2+) and 203.7 mg/g (Cu2+), is linked to functional moieties like -COOH and -OH, which bind to metal ions through electrostatic interactions, exchange of ions, and coordination mechanisms. Adsorption efficiency is governed by conditions such as duration of contact, temperature, and pH. Temperature studies imply that adsorption occurs through an endothermic mechanism, with positive ΔH values and negative ΔG values, validating the spontaneity and efficiency of the process. Adsorption isotherms, including Langmuir and Freundlich models, have shown promising fits, with a high correlation coefficient (r2 > 0.9). The kinetic study reveals that the adsorption follows pseudo-second-order kinetics, implying a chemisorption mechanism. The occurrence of interfering ions (e.g., Na+, Ca2+) can reduce adsorption efficiency, but their impact is minimal at lower concentrations. Overall, gum-based hydrogels provide an eco-conscious and reliable approach for metal ion removal in aqueous solutions, showing potential for large-scale environmental applications. Further studies focusing on improving adsorption capacity and scalability are recommended to enhance their practical utility in wastewater treatment.

Overview of foodborne hazards associated with inflammation and metabolic health

Access to safe and nutritious food is key to ensuring health and well-being and is critical to meeting the United Nations' Sustainable Development Goals. However, a synthesis of the associations between foodborne illness and malnutrition, such as metabolic health, remains a gap in the literature base. In this review, we summarized existing evidence on the impacts of biological and chemical hazards on nutrition-related health outcomes, specifically overweight and obesity, inflammation, metabolic disease, thyroid function, cancer development, and adverse birth outcomes, examining physiological mechanisms, epidemiological associations, and animal studies. Mechanisms between some foodborne hazards, such as H. pylori, and adverse pregnancy outcomes, e.g., gestational diabetes mellitus, or between nitrates and impaired thyroid function, are relatively well-studied. However, evidence on the effects of many other chemical hazards on metabolic and human health remains limited: for example, while arsenic exposure is associated with adverse birth outcomes, the limited availability of dose-response studies and other challenges limit ascertaining its causal role. Untangling these associations and physiological mechanisms is of high relevance for both high- as well as low- and middle-income countries. Emerging technologies and novel assessment techniques are needed to improve the detection and understanding of understudied and complex foodborne diseases, particularly those arising from chemical hazards. These evidence gaps are highlighted in this review, as well as the need for establishing surveillance systems for monitoring foodborne diseases and metabolic health outcomes across populations.

Unravelling the developmental toxicity of heavy metals using zebrafish as a model: a narrative review

Developmental toxicity is the disruption of an organism's normal development which may occur in either the parent before conception or in the growing creature itself. Zebrafish (Danio rerio) are being employed as effective vertebrate models to evaluate the safety and toxicity of chemicals because they can breed multiple times in a year so we can observe the toxic effects in the next generation and their development mental stages can be observed and define clearly because their 1 cell stage to prime stage is transparent so we can observe the development of every organ also they have nearly about 80% genetic similarity with humans and shares the similar neuromodulatory structure along with multiple neurotransmitter. The recent research endeavours to examine the harmful outcome of various heavy metals such as cadmium, chromium, nickel, arsenic, lead, mercury, bismuth, iron, manganese, and thallium along with microplastics on zebrafish embryos when subjected to environmentally acceptable levels of every single metal in addition to co-exposure at various points in time. These heavy metals can alter the mRNA expression levels, increase the reactive oxygen species (ROS) generation, decrease antioxidant expression, damage neuronal function, alter neurotransmitter release, alter the expression of several apoptotic proteins, interfere with the different signalling pathways, decrease heat rates, increase malformations like - pericardial oedema, heart oedema, reduce in length tail bending abnormal formation in fins. Thereafter we concluded that due to its involvement in the food chain, it also causes severe effects on human beings.

Exposure assessments of cadmium and lead with age-related eye disease: A systematic review and meta-analysis

BACKGROUND

Age-related eye diseases, such as macular degeneration, cataracts, and glaucoma, are significant causes of vision loss in older adults. Emerging evidence suggests that environmental exposure to heavy metals, particularly Cadmium and lead, may play an essential role in the onset and progression of these conditions.

METHODS

This systematic review and meta-analysis aimed to evaluate the association between Cadmium and lead exposure and the risk of age-related eye diseases. A comprehensive literature search was conducted across multiple databases, including PubMed, Embase, Scopus, and Web of Science, covering studies published up to July 2024. The review included observational studies on the relationship between Cadmium or lead exposure and specific eye conditions. Data extraction and quality assessment were performed independently by two reviewers. The meta-analysis utilized a random effects model to analyze cadmium and lead levels in patient and control groups, with subgroup analyses based on the type of eye disease and study design.

RESULTS

The results revealed a significant association between cadmium exposure and an increased risk of eye diseases, particularly cataracts and glaucoma. Lead exposure was also linked to a higher risk of cataracts and macular degeneration. The study found substantial heterogeneity among the included studies, highlighting the variability in exposure assessment and population characteristics.

CONCLUSIONS

Despite these variations, the findings underscore the importance of addressing environmental exposures to toxic metals as potential risk factors for age-related eye diseases. Further research is needed to clarify the underlying mechanisms and to develop targeted interventions for reducing these risks.

Association between endocrine disrupting chemicals exposure and diabetic kidney disease in adults: A national cross-sectional NHANES study

BACKGROUND

Diabetic kidney disease (DKD) is a global public health concern. Environmental factors are increasingly recognized as significant risk factors that cannot be overlooked, and certain environmental pollutants exhibit endocrine-disrupting properties. Previous research on the association between endocrine-disrupting chemicals (EDCs) and DKD has been notably limited.

METHODS

This study investigated the association between exposure to 25 EDC metabolites and DKD in 1421 U.S. adults from the 2015-2018 National Health and Nutrition Examination Survey (NHANES). We used logistic regression, restricted cubic spline regression, weighted quantile sum (WQS) regression, and bayesian kernel machine regression (BKMR) models to assess the association between individual and co-exposure to multiple EDCs and DKD. Subgroup analyses and interaction tests were performed to investigate whether this association was stable across the population. Additionally, mediation analysis was used to explore the mediating role of serum globulins in the association between Pb exposure and DKD.

RESULTS

In logistic regression models, N-Acetyl-S-(2-hydroxypropyl)-L-cysteine (2HPMA), N-Acetyl-S-(4-hydroxy-2-butenyl)-L-cysteine (MHBMA3), Phenylglyoxylic acid (PGA), and lead (Pb) were significantly positively associated with diabetes. Restricted cubic spline (RCS) analyses also revealed significant non-linear positive associations between 2HPMA, MHBMA3, and DKD. Perfluorohexane sulfonic acid (PFHxS), n-perfluorooctanoic acid (n-PFOA), n-perfluorooctane sulfonic acid (n-PFOS), and Perfluoromethylheptane sulfonic acid isomers (Sm-PFOS) were significantly negatively associated with DKD. Furthermore, co-exposure to metals and metalloid was positively associated with DKD in both the WQS regression and the BKMR models, with Pb as the primary contributing factor. Mediation analysis showed that globulin mediated the association between Pb exposure and DKD, with a mediation proportion of 7.25 % (P = 0.046). Co-exposure to perfluoroalkyl and polyfluoroalkyl substances (PFASs) was negatively correlated with DKD, and subgroup analyses revealed that this correlation was more pronounced in the obese group (BMI ≥30 kg/m²). The BKMR analysis revealed potential interactions among various chemical compounds, such as N-Acetyl-S-(2-hydroxypropyl)-L-cysteine (2HPMA), 2-Methylhippuric acid (2MHA), N-Acetyl-S-(4-hydroxy-2-methyl-2-butenyl)-L-cysteine (IPM3), mercury (Hg), and cadmium (Cd), in a model simulating co-exposure to metals and metalloid, as well as to volatile organic compound metabolites (mVOCs).

CONCLUSION

The findings suggest an association between individual or co-exposure to EDC metabolites and DKD, providing valid evidence for DKD prevention from the perspective of EDCs exposure. However, more prospective studies are needed to elucidate the potential mechanisms underlying these findings.

Transcriptome alterations in long-term mining region residents: Insights into immune response and molecular pathways

Pollution with metals and metalloids is a global problem that adversely affects human health and environment. Although several studies have reported gene expression changes in response to human exposures to metals, there are a limited number of studies exploring the effect of long-term residence in mining areas. The evidence of increased levels of several essential and non-essential metals in soil, water, and plants in Kapan mining area (Armenia) has been previously demonstrated in several environmental studies. Our study investigated the impact of long-term residence in this mining area on the transcriptome state of human peripheral blood mononuclear cells and the possible association of transcriptome changes with the blood metallome. In total, 58 participants including 27 mining region residents (MRR) and 31 non-mining region residents (NMR) were selected for our study. Transcriptomic analysis of peripheral blood mononuclear cells was performed by mRNA sequencing. Differential expression analyses were conducted using generalized linear modeling, optimized for participant demographics, cell types, and sequencing technical factors, followed by pathway analysis. The study revealed that long-term residence in a mining area is correlated with alterations in the blood transcriptome, with responses varying by sex. The identified transcriptome changes were enriched for pathways related to immune response and RNA translation. These changes correlated with higher blood levels of a mixture of non-essential metals, including arsenic, antimony, nickel, thallium, and beryllium. Additionally, the study identified differences in the transcriptome response between male and female MRR. While females exhibited a stronger immune response, males show dysregulation in ion transport and epigenetic modifications. Our findings contribute to understanding the effects of long-term residence in mining regions and can aid in developing more effective risk assessment and mitigation approaches in target populations.

Cell type transcriptomics reveal shared genetic mechanisms in Alzheimer's and Parkinson's disease

Historically, Alzheimer's disease (AD) and Parkinson's disease (PD) have been investigated as two distinct disorders of the brain. However, a few similarities in neuropathology and clinical symptoms have been documented over the years. Traditional single gene-centric genetic studies, including GWAS and differential gene expression analyses, have struggled to unravel the molecular links between AD and PD. To address this, we tailor a pattern-learning framework to analyze synchronous gene co-expression at sub-cell-type resolution. Utilizing recently published single-nucleus AD (70,634 nuclei) and PD (340,902 nuclei) datasets from postmortem human brains, we systematically extract and juxtapose disease-critical gene modules. Our findings reveal extensive molecular similarities between AD and PD gene cliques. In neurons, disrupted cytoskeletal dynamics and mitochondrial stress highlight convergence in key processes; glial modules share roles in T-cell activation, myelin synthesis, and synapse pruning. This multi-module sub-cell-type approach offers insights into the molecular basis of shared neuropathology in AD and PD.

Magnetic Carbon Porous Polymer Prepared from a New Suspended Emulsion for the Absorption of Heavy Metal Ions

In this study, magnetic carbon nanopolymers (Fe3O4/C@PM) were synthesized by suspension polymerization using magnetic carbon nanoparticles as the matrix, 2-thiophene formaldehyde and acrylamide as the monomers, and ethylene glycol dimethacrylate (EGDMA) as the crosslinking agent. The obtained material was characterized using multiple techniques, including scanning electron microscopy (SEM), infrared spectroscopy (FTIR), X-ray diffraction (XRD), N2 adsorption-desorption, and thermogravimetric analysis (TGA). The adsorption effects of Zn2+, Cd2+, and Pb2+ in the mixed solution were evaluated using magnetic carbon nanoparticles (Fe3O4/C) and Fe3O4/C@PM as adsorbents. The adsorption isotherms, kinetic models, and cyclic regeneration of various metal ions, including Zn2+, Cd2+ and Pb2+, were studied. The results showed that the Fe3O4/C@PM maintained a slightly aggregated spherical morphology similar to Fe3O4/C and exhibited excellent adsorption capacity for all of Zn2+, Cd2+, and Pb2+, with maximum adsorption capacities of 343.3, 250.7, and 177.6 mg·g-1, respectively. The adsorption mechanisms were mainly based on the chemical interactions between metal ions and functional groups on the surface of polymers. The kinetic study revealed that the adsorption process followed a pseudo-second-order kinetic model. When Fe3O4/C@PM was reused five times, its adsorption rates for Zn2+, Cd2+, and Pb2+ remained above 81%, indicating its great potential for the treatment of wastewater containing Zn2+, Cd2+, and Pb2+.

Exposure to multiple heavy metals associated with levels of inflammatory cytokines in workers in vulnerable conditions

PURPOSE

Individuals in occupational environments are particularly susceptible to the impacts of pollutants; making it crucial to assess systemic inflammation markers. The study aimed to evaluate the immune response to inflammation through the assessment of a cytokine profile in individuals working in vulnerable conditions exposed to heavy metals.

METHODS

A total of 137 adults participated in this study from three work environments: brickyards, waste scavenging and quarries. Levels of 12 metals were evaluated in urine using inductively coupled plasma mass spectrometry (ICP-MS), and serum levels of 6 cytokines were analyzed using Multi-Bead Cytokine Assay.

RESULTS

In the brickyard scenario, a significant percentage of subjects presented concentrations above the reference levels of Hg, As, and Pb (83.7%, 62.8%, and 16.3%; respectively). The waste scavenging and quarry workers scenario exhibited percentages of 100% and 49% for Ni, respectively. Additionally, the brickyard and waste scavenging scenarios showed the highest levels of TNF-α and INF-γ and, lower levels of IL-4 and IL-10. In the quarry scenario, an increase of IL-6 and a decrease in INF-γ were observed. Furthermore, a clustering pattern based on the type of scenario was identified, indicating a higher exposure to As, Pb, and Hg in the brickyard scenario, along with TNF-α, IL-4, and IL-10 levels.

CONCLUSIONS

The results suggest that exposure to heavy metals in workers with precarious work conditions, present elevated levels of inflammatory cytokines, which are related to the type of occupational environment.

Sequential distribution, potential sources, and health risk assessment of persistent toxic substances in sewage sludge used as organic fertilizer in Indo-Gangetic region

This study evaluates the environmental and human health impact of sewage sludge generated in the Indo-Gangetic region (Uttarakhand and Uttar Pradesh) used as organic fertilizer and landfill disposal. The research conducts a comprehensive risk assessment, including physicochemical and heavy metals analysis, on triplicate sludge samples obtained from 30 sewage treatment plants. The study provides both qualitative and quantitative insights into potential hazards associated with sewage sludge. The results indicate varying concentrations (mg/kg) of heavy metals in sewage sludge (expressed in mean ± SD) as determined by inductively coupled plasma mass spectrometry (ICP-MS) with the following order, zinc (966.15 mg/kg ± 279) > chromium (851.23 mg/kg ± 3079) > cadmium (150.07 mg/kg ± 307) > copper (186.09 mg/kg ± 56.25) > arsenic (5.24 mg/kg ± 3.54) > nickel (21.97 mg/kg ± 2.13) > mercury (1.05 mg/kg ± 0.12). The metal pollution indices underscore greater non-compliance in samples from STPs of Uttar Pradesh compared to those from Uttarakhand, with 40% of samples falling into poor to particularly poor categories. Multivariate analysis of samples reveals potential pollution sources, implicating industrial effluents and agricultural runoff, with identified controlling factors being Cu (0.948, p < 0.05); Zn (0.941 p < 0.05); Pb (0.921 p < 0.05); Ni (0.806 p < 0.05); Cd (0.717, p < 0.05); and electrical conductivity (0.620, p < 0.05). Monte Carlo-based uncertainty analysis emphasizes sludge-based chromium (Cd) as the highest risk at 62.86% (p < 0.001), trailed by chromium (59.29%, p < 0.001) for target cancer risk. The study also suggests potential management options, including the application of AI-based sensors for heavy metal monitoring, exploration of improved trapping or diluting technologies, and raising public awareness about stringent rules regarding sewage sludge remediation for effective risk mitigation strategies.

Foreign Contaminants Target Brain Health

Neurodisease, caused by undesired substances, can lead to mental health conditions like depression, anxiety and neurocognitive problems like dementia. These substances can be referred to as contaminants that can cause damage, corruption, and infection or reduce brain functionality. Contaminants, whether conceptual or physical, have the ability to disrupt many processes. These observations motivate us to investigate contaminants and neurotoxicity collaboratively. This study investigates the link between pollutants and neuro-disease, examining transmission pathways and categorization. It also provides information on resources, causes, and challenges to minimize contamination risks. Contamination may cause various neuro-diseases, including Alzheimer's, Parkinson's, multi-system atrophy, Huntington's, autism spectrum disorder, psychiatric disorder, dementia, meningitis, encephalitis, schizophrenia, anxiety, and depression. The negative effects depend on the nature and extent of exposure. A comprehensive literature search was conducted using databases such as PubMed and Scopus, focusing on studies published till 2024. Studies were selected based on their examination of the relationship between environmental contaminants and brain health, emphasizing transmission pathways and the resulting neurological outcomes. Findings indicate that contaminants can penetrate the blood-brain barrier (BBB) via nasal, gut, and auditory routes, triggering harmful neurophysiological processes. This review highlights the urgent need for increased global awareness, policy interventions, and preventive measures to mitigate the long-term impacts of environmental contaminants on brain health, particularly in emerging nations.

Predictive model in silicon and pathogenicity mechanism of metabolic syndrome: Impacts of heavy metal exposure

Although the association between heavy metals in human and the development of metabolic syndrome (MetS) have been extensively studied, the pathogenic mechanism of MetS affected by metals is not clear to date. In this study, a predictive model was developed with machine learning base on the large-scale dataset. These proposed models were evaluated via comparatively analysis of their accuracy and robustness. With the optimal model, two metals significantly correlated with MetS were screened and were employed to infer the pathogenicity mechanism of MetS via molecular docking. Significant associations between heavy metals and MetS were found. Molecular docking provided insights into the interactions between metal ions and key protein receptors involved in metabolic regulation, suggesting a mechanism by which heavy metals interfere with metabolic functions. Specifically, Ba and Cd affect the development of MetS thru their interactions with insulin and estrogen receptors. This study attempted to explore heavy metals' potential roles in MetS at the molecular level. These findings emphasize the importance of addressing environmental exposures in the prevention and treatment of MetS.

Multi-Omics Assessment of Puff Volume-Mediated Salivary Biomarkers of Metal Exposure and Oxidative Injury Associated with Electronic Nicotine Delivery Systems

BACKGROUND

Since their inception, electronic nicotine delivery systems (ENDS) have gained increasing popularity, sparking a vaping epidemic among adolescents in the US and globally. Several ENDS safety concerns have emerged as device features and formats that contribute to heavy metal exposure and toxicity continue to evolve and outpace regulatory efforts.

OBJECTIVES

Our objective was to integrate ENDS emission profiles with salivary proteome and metabolome data to characterize exposure factors that may influence adverse vaping-mediated health outcomes.

METHODS

A total of 56 participants (38 exclusive ENDS users and 18 non-ENDS users) were recruited. A subset of 15 exclusive ENDS users completed puffing topography assessments to obtain individual vaping behavior patterns using each participant's ENDS device. Inductively coupled plasma mass spectrometry was used to determine the metal content of emissions (12 ENDS devices) generated using a programmable ENDS aerosol generation system and saliva (15 exclusive ENDS users and 5 non-ENDS users). Saliva samples from 10 exclusive ENDS users and 5 non-ENDS users were analyzed for proteomic, metabolomic, inflammatory, and oxidative stress/damage biomarkers.

RESULTS

A linear puff volume-dependent increase in particle emissions and heavy metals was observed in ENDS aerosols and saliva of exclusive ENDS users. Elevated puff volume-dependent levels of salivary cytokines, including tumor necrosis factor-alpha (TNFα ), interleukin-1 beta (IL-1β ), and IL-6, were observed alongside the oxidative damage indicators malondialdehyde (MDA), superoxide dismutase (SOD), and 8-hydroxy-2'-deoxyguanosine (8-OHdG). Proteome-metabolome network analysis showed a higher risk of potentially developing neurological and respiratory diseases in ENDS users compared with non-ENDS users. Integrated salivary proteome-metabolome-metallome network analysis further demonstrated that heavy metals were associated with proteomic and metabolomic perturbations, with notable alterations in inflammatory response, immune function, and disease-related pathways.

DISCUSSION

A significant correlation between heavy metals, cytokines, and oxidative stress markers reveals a potential role of vaping behavior in exposure to metals and changes in markers associated with DNA damage and inflammation. Our study demonstrates the importance of characterizing vaping behavior and puffing topography when examining the human health implications of ENDS use. https://doi.org/10.1289/EHP14321.

Agro-industrial wastes and their application perspectives in metal decontamination using biocomposites and bacterial biomass: a review

Contamination of water bodies is a significant global issue that results from the deliberate release of pollutants into the environment, especially from mining and metal processing industries. The main pollutants generated by these industries are metallic wastes, particularly metals, which can cause adverse effects on the environment and human health. Therefore, it is crucial to develop effective and sustainable approaches to prevent their discharge into the environment. Biofiltration is a technique used to remediate contaminated fluids using biological processes. Microorganisms and agro-industrial wastes have been used successfully as biosorbents. Hence, this review emphasizes the innovative use of agro-industrial waste reinforced with microbial biomass as bioadsorbents, highlighting their dual capacity for metal removal through various bioremediation mechanisms. The mechanisms at play in these biocomposite materials, which offer enhanced sustainability, are also analyzed. This study contributes to the advancement of knowledge by suggesting new strategies for integrating reinforced materials in biosorption processes, thus providing a novel perspective on the potential of lignocellulosic-based systems to improve decontamination efforts. On the other hand, it shows some studies where the optimization and scaling-up of biosorption processes are reported. Additionally, the implementation of multisystem approaches, leveraging multiple bioremediation techniques simultaneously, can further enhance the efficiency and sustainability of metal removal in contaminated environments.

Investigation of the relationship between lead exposure in heavy metals mixtures and the prevalence of stroke: a cross-sectional study

BACKGROUND

The adverse effects of environmental toxic metal exposure on human health are well-documented. However, the specific influence of heavy metal exposure on stroke prevalence remains underexplored.

METHODS

This study utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning from 2011 to 2018 to investigate the association between blood metal concentrations and the incidence of stroke. Four analytical approaches-logistic regression, Restricted Cubic Splines (RCS), Weighted Quantile Sum regression (WQS), and Bayesian Kernel Machine Regression (BKMR)-were employed to assess the relationship, with a mediation analysis conducted to explore the role of inflammatory markers in Pb exposure-induced stroke.

RESULTS

Among the 9,399 participants in this project, 421 (4.4%) were diagnosed with stroke. After adjusting for covariates, a multivariable logistic regression model identified a positive association between the logarithmic concentration of Pb and the incidence of stroke. Besides, the analysis conducted using both WQS and BKMR methodologies found a consistent positive association between the composite exposure to heavy metals and the frequency of stroke cases, with Pb emerging as the predominant factor in this relationship. An evident saturation phenomenon was noted in the correlation between lead exposure and the risk of stroke. Additionally, the interplay between Pb exposure and stroke manifestation was found to be partially mediated by inflammatory markers, which were responsible for 6.9% of the observed effect (95%CI:0.01, 0.24, P = 0.03).

CONCLUSION

These findings indicate a notable contribution of Pb exposure to stroke risk, highlighting inflammation as a significant intermediary mechanism in the Pb exposure-stroke association.

Maternal and cord blood levels of metals and fetal liver function

Exposure to metals during pregnancy has been associated with adverse birth outcomes, but its impact on fetal liver function remains poorly understood. This study for the first time aimed to investigate the association between maternal and umbilical cord blood Metals levels and umbilical liver enzymes. A comprehensive analysis was conducted on 450 mother-newborn pairs in 2022, measuring 13 Metals in serum samples from pregnant women during the third trimester and umbilical cord blood samples. Regression analyses were utilized to examine the relationship between levels of maternal and umbilical cord blood Metals and the levels of gamma-glutamyl transferase (GGT), umbilical alkaline phosphatase (ALP), alanine aminotransferase (ALT), and aspartate aminotransferase (AST). G-comp analyses evaluated the combined effect of metals exposure on umbilical liver enzymes. Elevated levels of certain Metals in cord blood and maternal samples were positively linked with increased umbilical GGT, ALP, ALT, and AST levels. Notably, zinc (Zn) levels in cord blood exhibited an inverse correlation with umbilical liver enzyme levels. Furthermore, g-comp analyses revealed significant positive associations between exposure to metals mixtures and umbilical liver enzyme levels. An increase of one quartile in the mixture of maternal and umbilical Metals was linked with 99.45 U/L (95% CI:37.72, 161.19, p < 0.01), 2.79 (95% CI: 0.92, 4.65, p < 0.01), and 87.17 (95% CI: 53.96, 120.38, p < 0.01) increase in ALP, ALT and GGT levels. Further examination of the weight of Metals revealed As, Cd, Ni, Pb, Hg and Cr with the highest positive effects and Zn with the highest negative effect in the mixture effect on the umbilical liver enzyme. In summary, our results underscore the potential influence of prenatal heavy metal exposure on fetal liver function.

Composites Based on Natural Zeolites and Green Materials for the Immobilization of Toxic Elements in Contaminated Soils: A Review

Soil contamination by toxic elements is a global problem, and the remediation of contaminated soils requires complex and time-consuming technology. Conventional methods of soil remediation are often inapplicable, so an intensive search is underway for innovative and environmentally friendly ways to clean up ecosystems. The use of amendments that stabilize the toxic elements in soil by reducing their mobility and bioavailability is one of the simplest and most cost-effective ways to remediate soil. This paper provides a summary of studies related to the use of composites based on natural zeolites and green materials for the immobilization of toxic elements in contaminated soils and highlights positive examples of returning land to agricultural use. The published literature on natural zeolites and their composites has shown that combinations of zeolite with biochar, chitosan and other clay minerals have beneficial synergistic effects on toxic element immobilization and soil quality. The effects of zeolite properties, different combinations, application rates, or incubation periods on toxic elements immobilization were tested in laboratory scale or field experiments, whereas the mobility of toxic elements in soil was evaluated by chemical extractions of toxic elements transferred to the plants. This review highlights the excellent potential of natural zeolites to be used as single or combined sustainable green materials to solve environmental pollution problems related to the presence of toxic elements.

A critical review on heavy metal contamination in aquatic food webs by edible fish species: a special case concerning Bangladesh

Heavy metals (HMs) are ubiquitous in terrestrial and aquatic environments due to unplanned industrial waste discharge, the release of untreated wastewater, and improper mining activities. In particular, the concentrations of HMs are found to be higher in aquatic environments. As a result, the aquatic biota was heavily affected by HM contamination. This critical review aims to understand the sources and toxicity of HMs in commercial fish species, explore their ecological exchange, and examine the related human health challenges in Bangladesh. A modified PRISMA review technique is used in this paper to analyze the current status and research limitations of HM studies in Bangladesh fish species and their toxicity within aquatic food webs. Briefly, we searched several keywords to explore the research trend of HM concentrations and toxicity in fish species. Furthermore, potential toxicity and risk assessment of HMs through the aquatic food chain in Bangladesh were explored. On the other hand, a cross-tabulation approach was used to process the toxicity findings of HMs. Previous studies indicate that fish species can possess comparatively higher HMs than river water due to ecological exchange factors, including bioaccumulation and biotransformation. This review focuses on Bangladesh, highlighting areas for improvements and the need for further study to achieve a transparent understanding of HM deposition in fish species and the sustainable management of aquatic food chain toxicity.

Evaluating combined effects of chronic, low-dose exposures of cadmium (CLEC) and hyperglycemia on insulin signaling dysfunction in a hepatocellular model

The pathophysiological effects of chronic heavy metal exposures on human health remains uncertain. In this study, we developed a novel chronic, low-dose exposure of Cadmium (CLEC) model using the hepatocellular cell lines, HepG2 and HUH7. We modulated cell culture conditions to mimic human normoglycemic (5.6 mM) and hyperglycemic (15 mM) states with concomitant cadmium (Cd) exposures for 24 weeks. CLEC cells undergo non-trivial alterations in glucose signaling and metabolic characteristics within our model. We observe elevated baseline reactive oxygen species (ROS) production and decreased 2-NBDG uptake indicative of glucose metabolic dysfunction. Additionally, induction of metallothionein (MT) expression, increased activation of Akt signaling (via phosphorylation) and reduced IRS-2 protein expression are observed in CLEC cells. Cell line specific changes are observed with HepG2 showing a much higher MT gene induction compared to HUH7 cell line which impacts glucose metabolic dysfunction. Hyperglycemic culture conditions (representing type II diabetes) significantly modulate CLEC effects on cells. In conclusion, pathophysiologically relevant models of chronic heavy metal exposures are urgently needed to gain an in-depth, mechanistic understanding of the long-term impacts of toxic metals (e.g., Cd) on human metabolic health.

Low-level, chronic ingestion of lead and cadmium: The unspoken danger for at-risk populations

The long-term effects of low-level, chronic exposure to lead and cadmium through ingestion are often overlooked, despite the urgency surrounding the clinical onset and worsening of certain pathologies caused by these metals. This work reviews current legislation, global ingestion levels, and blood levels in the general population to emphasize the need for reactivity towards this exposure, especially in at-risk populations, including patients with early-stage renal and chronic kidney disease. Global data indicates persistent chronic ingestion of lead and cadmium, with no decreasing trend in recent years, and a daily consumption of tens of micrograms worldwide. Moreover, the average blood lead and cadmium levels in the general population are concerning in many countries with some significantly exceeding healthy limits, particularly for children. Technologies developed to cleanse soil and prevent heavy metal contamination in food are not yet applicable on a global scale and remain financially inaccessible for many communities. Addressing this chronic ingestion at the human level may prove more beneficial in delaying the onset of associated clinical pathologies or preventing them all together.

Protective role of hesperetin in Drosophila melanogaster model of ferrous sulphate-induced toxicity

The toxicological hazard of iron-containing products is a public health concern that inspires research in identifying and developing readily available, inexpensive antidotes. Natural products, like plant-sourced antioxidants, can be of great value in this regard. Hesperetin a flavonoid abundantly present in citrus fruits is known to possess a diverse pharmacological and antioxidant attribute. The present study investigated the alleviation of detrimental effects of ferrous sulphate (FeSO4) by hesperetin in Drosophila melanogaster. Flies were exposed to FeSO4 (10 µM) alone or supplemented with hesperetin (50 or 100 µM) via diet for 7 consecutive days. Antioxidant enzyme activities, non-enzymatic antioxidant levels, acetylcholinesterase activity and oxidative stress markers were then measured. Hesperetin supplementation significantly (p < 0.05) attenuated FeSO4-induced oxidative stress by enhancement of enzymic antioxidants (catalase and glutathione-S-transferases) activities, preservation of non-enzymic antioxidants (total thiols and non-protein thiols), and reduction of other markers of oxidative stress (hydrogen peroxide, protein carbonyl and lipid peroxidation) in D. melanogaster. In addition, hesperetin supplementation decreased nitric oxide levels and enhanced acetylcholinesterase activity. Furthermore, hesperetin supplementation improved FeSO4-induced locomotor deficit, while there was no significant difference in cell viability (mitochondrial metabolic rate) in the treatment groups. This study suggests that hesperetin might be a promising functional agent in preventing iron toxicity and similar metal-induced impairments.

Associations between individual and mixed urinary metal exposure and dyslipidemia among Chinese adults: Data from the China Multi-Ethnic Cohort Study

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

Association between exposure to heavy metals and the risk of breast cancer: A case-control study in Tanzania

Exposure to heavy metals is suspected to influence breast cancer development, although epidemiological evidence regarding this association remains controversial. This study investigated the association between urinary heavy metal levels and breast cancer risk through a hospital-based case-control design, involving 50 breast cancer patients and 40 healthy females. Heavy metals were quantified using an inductively coupled plasma atomic emission spectrophotometer (ICP-AES). The exposure levels were categorized into quartiles, and logistic regression was employed to evaluate the breast cancer risk associated with heavy metal exposure. The results revealed positive associations between risk of breast cancer and concentrations of Al, As, Ni, Cd, and Pb. In addition, the risk of breast cancer was high among participants in the 2nd, 3rd, and 4th quartiles of Al, As, Ni, Cd, and Pb. However, Co showed an inverse association with breast cancer. These results indicate that increased concentrations of heavy metals, with the exception of Co, are associated with the risk of breast cancer.

The Influence of the Protozoan Giardia lamblia on the Modulation of the Immune System and Alterations in Host Glucose and Lipid Metabolism

Giardia lamblia, the cause of giardiasis, significantly impacts patients with metabolic disorders related to insulin resistance (IR). Both giardiasis and metabolic disorders share elements such as chronic inflammation and intestinal dysbiosis, which substantially affect the metabolic and cytokine profiles of patients. This review discusses the mechanisms of virulence of G. lamblia, its influence on the immune system, and its association with metabolic disorders. The review aims to show how G. lamblia invasion acts on the immune system and the glucose and lipid metabolism. Key findings reveal that G. lamblia infection, by disrupting intestinal permeability, alters microbiota composition and immune responses, potentially impairing metabolic status. Future research should focus on elucidating the specific mechanisms by which G. lamblia influences the metabolism, exploring the long-term consequences of chronic infection, and developing targeted therapeutic strategies that include both parasitic and metabolic aspects. These insights underscore the need for a multidisciplinary approach to the treatment of giardiasis in patients with metabolic disorders.

Evaluating the portable X-ray fluorescence reliability for metal(loid)s detection and soil contamination status

Marginalized communities experience barriers that can prevent soil monitoring efforts and knowledge transfer. To address this challenge, this study compared two analytical methods: portable X-ray fluorescence spectroscopy (pXRF, less time, cost) and inductively coupled plasma mass spectrometry (ICP-MS, "gold standard"). Surface soil samples were collected from residential sites in Arizona, USA (N = 124) and public areas in Troy, New York, USA (N = 33). Soil preparation differed between groups to account for community practice. Statistical calculations were conducted, paired t test, Bland-Altman plot, and a two-way ANOVA indicated no significant difference for As, Ba, Ca, Cu, Mn, Pb, and Zn concentrations except for Ba in the t test. Iron, Ni, Cr, and K were statistically different for Arizona soils and V, Ni, Fe, and Al concentrations were statistically different for New York soils. Zinc was the only element with high R2 and low p value. Pollution load index (PLI), enrichment factors (EF), and geo-accumulation index (Igeo) were calculated for both methods using U.S. Geological Survey data. The PLI were > 1, indicating soil pollution in the two states. Between pXRF and ICP-MS, the Igeo and EF in Arizona had similar degree of contamination for most elements except Zn in garden and Pb in yard, respectively. For New York, the Igeo of As, Cu, and Zn differed by only one classification index between the two methods. The pXRF was reliable in determining As, Ba, Ca, Cu, Mn, Pb, and Zn in impacted communities. Therefore, the pXRF can be a cost-effective alternative to using ICP-MS techniques to screen soil samples for several environmentally relevant contaminants to protect environmental public health.

Heavy Metal Interactions with Neuroglia and Gut Microbiota: Implications for Huntington's Disease

Huntington's disease (HD) is a rare but progressive and devastating neurodegenerative disease characterized by involuntary movements, cognitive decline, executive dysfunction, and neuropsychiatric conditions such as anxiety and depression. It follows an autosomal dominant inheritance pattern. Thus, a child who has a parent with the mutated huntingtin (mHTT) gene has a 50% chance of developing the disease. Since the HTT protein is involved in many critical cellular processes, including neurogenesis, brain development, energy metabolism, transcriptional regulation, synaptic activity, vesicle trafficking, cell signaling, and autophagy, its aberrant aggregates lead to the disruption of numerous cellular pathways and neurodegeneration. Essential heavy metals are vital at low concentrations; however, at higher concentrations, they can exacerbate HD by disrupting glial-neuronal communication and/or causing dysbiosis (disturbance in the gut microbiota, GM), both of which can lead to neuroinflammation and further neurodegeneration. Here, we discuss in detail the interactions of iron, manganese, and copper with glial-neuron communication and GM and indicate how this knowledge may pave the way for the development of a new generation of disease-modifying therapies in HD.

Past anthropogenic impacts revealed by trace elements in cave guano

Natural and human-induced toxic elements can accumulate in the environment, posing significant risks to human health and ecosystems. This study explores cave bat guano, an unconventional and relatively under-researched environmental repository, to reveal historical pollution trends and sources. Through trace elements analysis of a 1.5-m-thick guano deposit from Zidită Cave (Romania), we track changes in mining and metallurgy from 1000 CE-2012. We identified substantial pollution primarily from porphyry copper and Au-Ag-Te mines, but also impacts from usage of leaded gasoline and agricultural practices. Our record shows disruptions caused by the Bubonic plague around 1250 CE and a major surge ∼ 1500 CE. After the decline triggered by the European silver market collapse in 1525 CE, our study reveals a brief mining revival. This resurgence was followed by a continuous decline lasting until the early 1800s, driven by socio-economic upheavals and recurrent outbreaks of the bubonic plagues. The Industrial Revolution sparked prolonged growth that lasted until 1989 CE, only briefly interrupted by the Great Depression and World War II. Consequently, cave bat guano proves to be a critical resource for understanding spatial pollution patterns, both locally and regionally, and for identifying specific pollution sources.

Spatial and seasonal groundwater quality assessment for drinking suitability using index and machine learning approach

Spatial and seasonal evaluation and monitoring of groundwater (GW) quality is essential for the sustainable management of this priceless resource and the provision of safe drinking water. Nevertheless, GW quality appraisal was not given due attention in the current study area (flat terrain part of the Tana sub-basin). This study sought to assess the seasonal and regional physicochemical GW quality parameters for drinking appropriateness using the drinking water quality index (DWQI) and support vector machine (SVM). The main cations in both the dry and wet study seasons were, in decreasing order, Na+, Ca2+, Mg2+, K+, and Fe2+, according to the results. Conversely, the main anions were HCO3-, CO32-, Cl- or NO3-, SO42- and PO43-, ordered from higher to lower. During the two research seasons, Ca-HCO3 and Na-HCO3 were the predominant water types based on Piper diagram results. Reverse ion exchange and evaporation were the principal hydrogeochemical processes that control the hydrogeochemistry identified by Durov and Gibbs diagrams, respectively. Excellent GW quality class for drinking was demonstrated by the majority of geographical and seasonal DWQI readings over the two seasons. Nevertheless, during the rainy season, there was a noticeable decline in the GW quality condition around the northern shores of Lake Tana. Therefore, it is advised to implement comprehensive GW quality protection measures and improve system management to mitigate pollution to reduce health hazards in the examined region.

Assessment of heavy metals and human health risk associated with the consumption of crops cultivated in industrial areas of Maputo, Mozambique

This study aimed to evaluate heavy metals concentrations in soils and vegetables (cabbage, lettuce, and cassava) cultivated at Matola and Beluluane Industrial Parks, and to assess health risks linked to their consumption through estimated daily intake, hazard index (HI), and incremental lifetime cancer risk. Concentrations of Al, As, Co, Cd, Cr, Ni, Pb, and Zn were determined in the two sites. Soil concentrations of As at Beluluane site and As, Cd, and Cr at Matola site exceeded reference limits of the Food and Agriculture Organization/World Health Organization, showing heavy metal contamination. At Beluluane site, all studied vegetables presented As and Pb levels higher than reference limits, Cd concentrations were higher than the reference limit in cabbage, lettuce, and cassava leaves. At Matola site crops concentrations of As, Cd, Cr, and Pb exceeded the reference limits. Zinc exceeded the reference limit in all crops except in cabbage. HIs for vegetables from Beluluane exceeded 1.0 in cabbage (2.66), lettuce (2.27), and cassava leaves (2.37). Likewise, at Matola, HIs exceeded 1.0 in lettuce (1.67), cassava leaves (1.65), and root tubers (13). We found that vegetables cultivated in industrial parks present high carcinogenic risk due to heavy metal contamination, rendering them unsuitable for human consumption.

Toxic Potencies of Particulate Matter from Typical Industrial Plants Mediated with Acidity via Metal Dissolution

Acidity is an important property of particulate matter (PM) in the atmosphere, but its association with PM toxicity remains unclear. Here, this study quantitively reports the effect of the acidity level on PM toxicity via pH-control experiments and cellular analysis. Oxidative stress and cytotoxicity potencies of acidified PM samples at pH of 1-2 were up to 2.8-5.2 and 2.1-13.2 times higher than those at pH of 8-11, respectively. The toxic potencies of PM samples from real-world smoke plumes at the pH of 2.3 were 9.1-18.2 times greater than those at the pH of 5.6, demonstrating a trend similar to that of acidified PM samples. Furthermore, the impact of acidity on PM toxicity was manifested by promoting metal dissolution. The dramatic increase by 2-3 orders of magnitude in water-soluble metal content dominated the variation in PM toxicity. The significant correlation between sulfate, the pH value, water-soluble Fe, IC20, and EC1.5 (p < 0.05) suggested that acidic sulfate could enhance toxic potencies by dissolving insoluble metals. The findings uncover the superficial association between sulfate and adverse health outcomes in epidemiological research and highlight the control of wet smoke plume emissions to mitigate the toxicity effects of acidity.

Tracing and source fingerprinting of metals from the southern coastal sediments in Bangladesh

Trace element pollution from anthropogenic sources is increasingly widespread. This pollution in terrestrial environments threatens agricultural crop production, while in aquatic environments, it threatens fish cultivation. The contamination of these crucial food sources raises significant concerns regarding food safety, security, and its potential adverse effects on human health. Coastal areas are particularly vulnerable to heavy metal pollution due to their proximity to industrial and urban centres, as well as their susceptibility to contamination from marine sources. In attempting to identify the sources of heavy metals (As, Cu, Cr, Cd, Fe, Hg, Mn, Ni, Pb, and Zn) and measure their contributions, we collected soil samples from thirty sites along the three coastal districts (Patuakhali, Barguna, and Bhola) in Bangladesh. Using atomic absorption spectroscopy, heavy metal concentrations in soil samples were measured and three receptor models (PMF, PCA-MLR, and UNMIX) were applied to detect their sources. Pairwise correlation analysis of metal concentrations in 30 sites across 3 coastal districts showed all possible patterns, including both significant and insignificant positive and negative relationships between different metals, except for As and Hg which did not display any significant relationships with other metals. The concentrations of Cu, Fe, Mn, Ni, and Zn exceed the US-EPA sediment quality standard. The applied PCA-MLR, PMF, and UNMIX models identified several sources of heavy metal contamination, including (i) mixed anthropogenic and natural activities: contribution of 59%, 37%, and 43%, and (ii) vehicle emissions: contribution of 23%, 26% and 29%. The recognized metal sources should be prioritised to avoid the discharge of poisonous pollutants from anthropogenic factors and any possible future exposure. This study's findings have implications for ongoing monitoring and management of heavy metal contamination in coastal environments to mitigate potential health and ecological impacts and can inform policy development and management strategies.

Pollutants to pathogens: The role of heavy metals in modulating TGF-β signaling and lung cancer risk

Lung cancer is a malignant tumor that develops in the lungs due to the uncontrolled growth of aberrant cells. Heavy metals, such as arsenic, cadmium, mercury, and lead, are metallic elements characterized by their high atomic weights and densities. Anthropogenic activities, such as industrial operations and pollution, have the potential to discharge heavy metals into the environment, hence presenting hazards to ecosystems and human well-being. The TGF-β signalling pathways have a crucial function in controlling several cellular processes, with the ability to both prevent and promote tumor growth. TGF-β regulates cellular responses by interacting in both canonical and non-canonical signalling pathways. Research employing both in vitro and in vivo models has shown that heavy metals may trigger TGF-β signalling via complex molecular pathways. Experiments conducted in a controlled laboratory environment show that heavy metals like cadmium and arsenic may directly bind to TGF-β receptors, leading to alterations in their structure that enable the receptor to be phosphorylated. Activation of this route sets in motion subsequent signalling cascades, most notably the canonical Smad pathway. The development of lung cancer has been linked to heavy metals, which are ubiquitous environmental pollutants. To grasp the underlying processes, it is necessary to comprehend their molecular effect on TGF-β pathways. With a particular emphasis on its consequences for lung cancer, this abstract delves into the complex connection between exposure to heavy metals and the stimulation of TGF-β signalling.

Screening of mustard cultivars for phytoremediation of heavy metals contamination in wastewater irrigated soil systems

The mustard (Brassica juncea L.) plant is a well-known and widely accepted hyper-accumulator of heavy metals. The genetic makeup of mustard's cultivars may significantly impact their phytoremediation capabilities. The present study aimed to investigate the growth performance, yield attributes, and heavy metal accumulation potential of B. juncea cv. Varuna, NRCHB 101, RH 749, Giriraj, and Kranti, cultivated in soil irrigated with wastewater (EPS) and bore-well water (MPS). EPS contributed more Cr, Cd, Cu, Zn, and Ni to tested mustard cultivars than the MPS. EPS reduced morphological, biochemical, physiological, and yield attributes of tested mustard cultivars significantly (p < 0.05) than the MPS. Among the tested cultivars of mustard plants, Varuna had the highest heavy metal load with the lowest harvest index (35.8 and 0.21, respectively). Whereas NRCHB 101 showed the lowest heavy metal load with the highest harvest index (26.9 and 0.43, respectively). The present study suggests that B. juncea cv. Varuna and NRCHB 101 could be used for the phytoextraction of heavy metals and reducing their contamination in food chain, respectively in wastewater irrigated areas of peri-urban India. The outcomes of the present study can also be utilized to develop a management strategy for sustainable agriculture in heavy metal polluted areas resulting from long-term wastewater irrigation.

A nationwide investigation on the characteristics and health risk of trace elements in surface water across China

Rapid urbanization accelerates the release of anthropogenic heavy metals from local to wider water systems, posing a serious threat to aquatic ecosystems and public health. The characteristics of trace elements were investigated to evaluate the environmental status of surface water in 40 cities of China. The concentrations of 22 elements in surface water ranged from 7.00 × 10-4 to 4.37 × 105 μg/L. The water quality can be classified as "excellent" except Songhuajiang. The levels of As, Cd, Cr, Pb, and Hg are all within the limits permitted by national drinking water quality standards. An obvious regional distribution characteristic was observed, with concentrations of Zn, Mn, Ni, Cu, Co, U, and Cr higher in surface water collected in the north than in the south, while the trends for Cd, Tl, and As are opposite. Notably, Tl shows significant geographical divergences, with the level of surface water collected from the south nine times higher than that from the north. The regional distribution of the mineral, industrial, or agricultural activity might be responsible for the south-to-north difference of these elements. The hazard index (HI) and total cancer risk (TCR) through oral or dermal contact with water-related heavy metals were further calculated. The average HI was 0.54 in the north and 0.29 in the south for adults, while HI for children was relatively higher. The value was 1.01 and 0.55 in the north and south, respectively. TCR in the north is 2.58 × 10-4 and mainly contributed by Cr (88.1 %), while TCR in the south is 4.48 × 10-5 and mainly contributed by As (98.4 %). The research results can provide essential data for effective water resources management and human health protection in China.

The Impact of Metal and Heavy Metal Concentrations on Vancomycin Resistance in Staphylococcus aureus within Milk Produced by Cattle Farms and the Health Risk Assessment in Kurdistan Province, Iran

In today's food landscape, the paramount focus is on ensuring food safety and hygiene. Recognizing the pivotal role of the environment and its management in safeguarding animal products, this study explores vancomycin resistance in raw milk from livestock farms in the Kurdistan province and its correlation with metal and heavy metal. One hundred and sixty raw milk samples were collected from various locations, with heavy metal concentrations analyzed using ICP-MS. Identification of Staphylococcus aureus and vancomycin resistance testing were conducted through culture and the Kirby-Bauer method. This study investigates the relationship between resistance and heavy metal levels, revealing that 8.75% of milk samples contained Staphylococcus aureus, with 28.58% exhibiting vancomycin resistance. Significant variations in arsenic, iron, zinc, sodium, and aluminum concentrations were observed between resistant and sensitive samples (p < 0.01). The increase in arsenic, iron, and aluminum, along with the decrease in zinc, demonstrated a significant association with vancomycin resistance (p < 0.001). Levels of lead, cadmium, mercury, zinc, and iron exceeded permissible limits (p < 0.05). The Target Hazard Quotient (THQ) for cadmium indicated a high non-carcinogenic risk, while the Target Risk (TR) for arsenic fell within the carcinogenic range. Accumulation of heavy metals has the potential to impact antibiotic resistance in milk, underscoring the imperative to control arsenic residues for national safety.

Assessment of the variation of heavy metals and pesticide residues in native and modern potato (Solanum tuberosum L.) cultivars grown at different altitudes in a typical mining region in Peru

This research paper presents the preliminary outcomes of an investigation conducted on the levels of heavy metals (such as As, Cd, Pb, Al, Mn, Cu, Ba, Cr, and Ni) and pesticide residues found in both traditional and modern potato cultivars grown in Moquegua, one of the principal copper-producing departments of Peru. A total of 160 samples of potatoes and soil were collected at altitudes between 58 and 3934 m above sea level (m.a.s.l.), and measured by inductively coupled plasma mass spectrometry (ICP-MS) and inductively coupled plasma optical emission spectrometry (ICP-OES), respectively. Determinations of pesticide residues were conducted by using the QuEChERS method. Metal concentrations in potato samples varied from 0.006 to 0.215 mg/kg for Pb; 0.01-0.25 mg/kg for As; 0.001-0.048 mg/kg for Cd; 0.4-47.9 mg/kg for Al; 0.008-0.802 mg/kg for Cr; 0.505-2.729 mg/kg for Cu; 0.022-29.894 mg/kg for Mn; 0.03-2.76 mg/kg for Ba; to 0.006-0.419 mg/kg for Ni. Among the principal findings of the study were that (i) potatoes grown at lower altitude (Chala and Yunga regions) accumulated more As, Cr, Ni and Al than those grown at higher altitudes (Suni region); (ii) modern potatoes in most cases show a higher concentration of metals than native ones; (iii) the principal positive correlation found between soil and potatoes was for As; (iv) 90% of the samples analyzed were free from pesticide residues.

Evaluating the Portable X-ray Fluorescence Reliability for Metal(loid)s Detection and Soil Contamination Status

Environmental Justice (EJ) communities may experience barriers that can prevent soil monitoring efforts and knowledge transfer. To address this gap, this study compared two analytical methods: portable X-ray Fluorescence Spectroscopy (pXRF, less time and costs) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS, "gold standard"). Surface soil samples were collected from yards and gardens in three counties in Arizona, USA (N=124) and public areas in Troy, New York, USA (N=33). Statistical calculations, i.e., two-sample t-tests, Bland-Altman plots, and a two-way ANOVA indicated no significant difference for As, Ba, Ca, Cu, Mn, Pb, and Zn concentrations except for Ba in the two-sample t-test. Iron, Ni, Cr, and K were statistically different for Arizona soils and V, Ni, Fe and Al concentrations were statistically different for New York soils. To assess the degree of contamination, a pollution load index (PLI), enrichment factors (EF), and geo-accumulation index (I geo ) were calculated for both methods using U.S. Geological Survey soils data. The PLI were >1, indicating pollution across the two states. Between pXRF and ICP-MS, the I geo and EF in Arizona had similar degree of soil contamination for most elements except Zn in garden and Pb in yard, respectively. In New York, the I geo of As, Cu, and Zn differed by an order of magnitude between the two methods. The results of this study demonstrate that pXRF is a reliable method for the inexpensive and rapid analysis of As, Ba, Ca, Cu, Mn, Pb, and Zn. Thus, EJ communities may use pXRF to screen large numbers of soil samples for several environmentally relevant contaminants to protect environmental public health.

Study on the correlation and interaction between metals and dyslipidemia: a case-control study in Chinese community-dwelling elderly

Previous studies on the association between metals and dyslipidemia are not completely consistent. There are few studies investigating the relationship between mixed metal exposure and dyslipidemia as well as the effects of metals on dyslipidemia in community-dwelling elderly. To evaluate the correlations and interaction effect between the urinary concentrations of metals and the risk of dyslipidemia in community-dwelling elderly. We designed a case-control study to assess the correlation between urine metals and dyslipidemia in elderly people in the Yinchuan. The urinary levels of 13 metals, including calcium, vanadium, iron, cobalt, zinc, copper, arsenic, selenium, molybdenum, cadmium, tellurium, and thallium, were measured by inductively coupled plasma-mass spectrometry (ICP-MS), and the blood biochemical analyzer was used to measure the blood lipid levels of 3384 senior individuals from four different areas of Yinchuan city. Logistic regression and restricted cubic splines (RCS) were used to explore the correlation and dose-response relationship between urinary metals and the risk of dyslipidemia. Least absolute shrinkage and selection operator (LASSO) regression was used to select metals, and then weighted quantile sum (WQS) regression was used to explore the weight of each metal in mixed metals. Bayesian kernel machine regression (BKMR) was used to explore the interactions between metals on dyslipidemia risk. (1) After selection by LASSO regression, in the multi-metal model, compared with the lowest quartile, the adjusted ORs (95%CI) of the highest quartiles were 0.47 (0.37-0.60) for Fe, 1.43 (1.13-1.83) for Zn, 1.46 (1.11-1.92) for As, 0.59 (0.44-0.80) for Se, 1.53 (1.18-2.00) for Mo, and 1.36 (1.07-1.73) for Te. (2) In the WQS regression model, Fe and Mo accounted for the largest weight in the negative and positive effects of dyslipidemia, respectively. (3) In the BKMR model, there may be a positive interaction between Te and Se on dyslipidemia. Among the mixed metals, Fe, As, Se, Mo, and Te were associated with the prevalence of dyslipidemia, with Fe and Mo contributing the most. There may be certain interactions between Te and Se.

Dataset of metals and metalloids in food crops and soils sampled across the mining region of Moquegua in Peru

In recent years, there has been an increase in interest in the accumulation of heavy metals and metal(loid)s (HMM) in areas where agriculture and mining exist side by side. As a contribution to this body of knowledge, we report the first dataset into HMM concentrations in food crops and agricultural soils in Moquegua, which is a typical mining region and contains one of Peru's largest copper deposits. Thanks to its geographic diversity, samples were taken in different agroecological regions at altitudes between 9 and 3,934 m. For food crops, 31 elements were measured using inductively coupled plasma mass spectrometry and atomic absorption spectrometry. For soils, 23 elements were measured using inductively coupled plasma optical emission spectrometry. Thus, the dataset includes a total of 13,828 observations from 341 sampling sites. We hope that this dataset will facilitate a wide range of agricultural and food safety studies, as well as serving as a reference for monitoring changes in pollution over time or comparing HMM levels with other farmlands influenced by mining activities.