Abstract
Lipids are high energy, complex biomolecular compounds essential for cellular and organellar membrane formation. Accumulation of circulatory lipids is however associated with pathophysiological conditions including cardiometabolic disorders, diabetic dyslipidemia and obesity. Epidemiological studies have correlated heavy-metal exposure with dyslipidemias and metabolic syndrome. Here, we review the role of cadmium, lead, mercury and arsenic on inducing dyslipidemias through lipid metabolism dysregulation, with focus on metal effects on lipogenic genes, gut microbiome and endocrine secretion. The main gene transcription factors impaired by heavy metals are CCAAT-enhancer binding protein, peroxisome proliferative-activated receptor, sterol regulatory element binding protein, carbohydrate responsive element binding protein and liver × receptor. These factors regulate genes responsible for β-oxidation, de novo lipogenesis, and the synthesis and transport of fatty acids, cholesterol, phospholipids and triglycerides. Dysregulated lipid profiles in organisms exposed to metals show higher cholesterol and triglycerides, very low-density lipoprotein and non-high density lipoprotein cholesterol levels, with a corresponding low high-density lipoprotein cholesterol. Hormones and gut microbiome are also impaired by heavy-metal exposure.
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Introduction
Lipids are hydrophobic molecules that form critical components in organisms, with a functional role of providing both structural and biological support. Lipids are essential for initiating organellar biogenesis and the proliferation of each distinct membrane-bound structures, vesicles and liposomes in the aqueous environment of cells, thus providing a barrier for regulating intracellular exchange of materials among cytoplasmic organelles (Airaodion et al. 2019; Stefan et al. 2017). Aside membrane formation, lipids also insulate neurons, facilitate cell signaling and impulse transmission (Amira et al. 2018), exhibit antioxidant and anti-inflammation properties (Brites et al. 2017) and may demonstrate cardioprotective functions (Nagao et al. 2018). Some forms of lipids are known to act as sensors of cellular stress and thus form important components of signal transduction molecules (Rangholia et al. 2021). Despite their many functional roles in cells, an excess accumulation of lipids in blood plasma and tissues, as a result of lipid-metabolism dysregulation, has striking effects on the health of an organism and has been found to contribute to the initiation and progression of pathophysiological conditions such cancers, cardiovascular deterioration, high blood pressure, kidney damage, hyperlipidemia, obesity and diabetes (Deprince et al. 2020; Gai et al. 2019; Nickels 2018). Although lipid redistribution does not necessarily pose a negative health risk to an individual, the location of its accumulation, however influences the overall health of a person. Example, accumulation of fat in visceral adipose tissues and organs relative to its accumulation in subcutaneous layers is reported to be associated with an increased risk of metabolic syndromes (Frank et al. 2019; Małodobra-Mazur et al. 2020). The concerted convergence of excess fat and sugar accumulation, hormonal imbalance, alterations in lipid and sugar metabolism genes, gut microbiome perturbation and de novo lipogenesis, resulting from heavy metal exposure, are among the many factors that may contribute to higher risk of lipid-related metabolic syndromes. Multiple reports, as reviewed in this study (Afolabi et al. 2015; Chi et al. 2019b; Skoczyńska et al. 1993; Zhou et al. 2016), reveal that acute or chronic exposure to heavy metals in humans or other organisms result in serum lipid profile dysregulation with a significant increase in total cholesterol, triglyceride, low-density lipoprotein cholesterol and non-high density lipoprotein cholesterol levels while contemporaneously leading to a decline in high-density lipoprotein cholesterol levels. The disproportionate increase in triglyceride, low-density lipoprotein cholesterol and total cholesterol or a combination thereof, and the corresponding decline in high-density lipoprotein cholesterol in bloodserum defines the condition of dyslipidemias (Li et al. 2021). This comprehensive review therefore explores how heavy metals alter the parameters of serum lipid profiles in model organisms (mice, rats, zebrafish) and in humans, and how these changes affect the quality of life.
Exposure and toxicokinetics of heavy metals
Sources and heavy metal toxicokinetics
The ubiquitous nature of heavy metals and their widespread toxicities in plants, animals and humans have been of major concern over the past several decades. Though heavy metals are released into the environment through natural processes such as erosion, spring waters and volcanic eruptions, the increased rate of anthropogenic activities such as fossil fuel combustion, agricultural activities and industrialization have accounted for the recent surge in heavy metal pollution and their overaccumulation on viable agricultural lands, water bodies and air, thus making human exposure inevitable (Briffa et al. 2020; Ferrante et al. 2019; Tchounwou et al. 2012). Cadmium (Cd2+), lead (Pb2+) and mercury (Hg2+) are among the most bio-persistent toxic metals with a high ability to bioaccumulate in cells and tissues, but difficult to excrete once in cells, especially when the victim suffers from iron, calcium or zinc deficiency (Moiseenko and Gashkina 2020; Schaefer et al. 2020) whereas approximately 70 to 80% of arsenic (As3+), a metalloid, can be largely excreted through urine, with hair, nail sweat and feces also contributing to As3+ removal (Chen et al. 2013; Roy et al. 2020). These heavy metals are ranked highest among the list of priority metals considered to be of great public health concern. Whereas cadmium occupies the seventh position, arsenic, lead and mercury are first, second and third, respectively, on the basis of their frequency of occurrence, toxicity and potential for human exposure (ATSDR 2020). These heavy metals were selected for this review based on experimental studies demonstrating their toxicities in tissues and cells after exposure (Cartularo et al. 2015; Elmorsy et al. 2021; Rosales-Cruz et al. 2018) and in cross-sectional studies involving human population with chronic or acute exposure (Ayoub et al. 2021; Kang et al. 2021), and for the fact that their primary medium of exposure is through inhalation [of polluted air], ingestion [of contaminated food and water], and to some extent, dermal contact, which all constitutes daily human routine (Ferrante et al. 2019; Kumari et al. 2021; Rivas-Santiago et al. 2019). With drinking water as the major source of human and animal exposure, the maximum permissible limit has been restricted to 10 µg/L (As3+) (Kumar et al. 2020), 2 µg/L (Hg2+) (Rana et al. 2017), 15 µg/L (Pb2+) (Sui et al. 2020) and 5 µg/L (Cd2+) (Kubier et al. 2019). In spite of these restrictions, most countries are reported to have metal concentrations in drinking water exceeding this stipulated permissible limit (Alidadi et al. 2019; Cobbina et al. 2015; Shaji et al. 2021; Tanvir et al. 2021). Moreover, blood, as transport medium for metals, is often used as reliable indicator for recent exposure to quantify toxicity level. The maximum tolerable blood-metal limit is indicated as Cd2+ (10 µg/dL) and Pb2+ (5 µg/dL) (Xu et al. 2021), As (1 μg/L) (Kumar et al. 2020) and Hg2+ (< 20 μg/L) (Ye et al. 2016) but these concentrations only reflect recent exposures and not necessarily long time exposure since they rapidly disappear from blood and are distributed to tissue storage sites. Due to the high level of toxicity associated with lead (Pb2+), a net zero permissible limit in drinking water is recommended since even low-levels represent a risk factor for lipid metabolism dysregulation (Xu et al. 2021). Achieving this target however remains a challenge, even in effluent communities, due to the pervasive nature of this metal, with reports indicating that even certified lead-free plumbing products could leach Pb at a concentration greater than 1 μg/L as shown in a laboratory study (Parks et al. 2018).
Cadmium, mercury, lead and arsenic are all potent hepatotoxic heavy metals/metalloid which are easily incorporated into the food chain through absorption by plants and animals, and subsequent biotransformation especially in aquatic organisms (Zhang et al. 2019). These metals are mostly present in their divalent forms and thus compete with essential metal ions for binding sites to be transported into cells and tissues. Once transported into cells, they bind strongly to proteins and nucleic acids, induce oxidative stress through reactive oxygen species generation which destroys macromolecular structures and disrupt their cellular function (Briffa et al. 2020; Engwa et al. 2019), alter lipid metabolism profile in the liver and induce epigenetic changes in the expression and function of lipid metabolism genes (Cartularo et al. 2015; Cheng et al. 2011; Lacerda Leocádio et al. 2020). Mercury, often converted to its toxic methylmercury form by bacteria in soil or water, enters the food chain and bioaccumulates in plants and fishes (Chang et al. 2020; Donadt et al. 2021; Vieira et al. 2021), has been associated with decreasing the antioxidant status of glutathione, increases oxidative stress and inflammation, alters lipid profile and influence the development of dyslipidemias, cardiovascular diseases, obesity and hypertension (Park and Seo 2017). Similarly, though arsenic (a metalloid) is toxic in all its oxidation states and forms, the inorganic trivalent arsenic (arsenite, As3+) is known to be highly toxic compared to its oxidized pentavalent arsenic (arsenate, As5+) (Kumari et al. 2021), and these modifications into different states are facilitated through bacterial metabolism and by the environment where As is exposed (Ferrante et al. 2019; Kumari et al. 2017; Rivas-Santiago et al. 2019).
Reports from in vivo, in vitro and epidemiological studies show a close association between chronic or acute heavy metal exposure and dyslipidemias as manifested by the upregulation in triglyceride, low-density lipoprotein cholesterol and total cholesterol levels with a corresponding decrease in high-density lipoprotein cholesterol levels (Cheng et al. 2011; Cho et al. 2020; Go et al. 2015; Olisekodiaka et al. 2012; Park and Seo 2017). The changes in these lipid profile markers are clinically used to determine one’s susceptibility to developing metabolic syndromes such as diabetes, hypertension, obesity, stroke and heart diseases. Therefore, the ability for heavy metals to alter serum lipid profile through DNA damage, epigenetic modification via DNA methylation, lipid peroxidation induction and the dysregulation of several metabolic pathways, pose a significant health risk to individuals and could serve as a precursor for the initiation and progression of clinical conditions (Rivas-Santiago et al. 2019).
Heavy metal toxicology and metabolism dysregulation
Experimental and epidemiologic evidence indicate that acute and chronic exposure to heavy metals is associated with the development of clinical and metabolic symptoms relating to immunotoxicity, hepatotoxicity, cardiovascular disorders, cognitive deficiencies, nephrotoxicity, hypertensions, dyslipidemia and diabetes mellitus (He et al. 2015; Lamas et al. 2016; Nie et al. 2016). These toxicities elicited by heavy metals have been studied, and the mechanisms and pathways involved illustrated to some extent to aid the development and discovery of therapeutic agents. By altering the cellular and biochemical pathways of glucose, lipids and proteins metabolism and facilitating the induction of membrane phospholipid abnormalities through oxidative damage, toxic metals evoke lethal effect to cells by inducing apoptosis and a subsequent cell death in the process (Rivas-Santiago et al. 2019; Tinkov et al. 2021). Studies in recent years have tightly linked glucose and lipid metabolism dysregulation to the presence and accumulation of heavy metals within tissues and organs (Bambino et al. 2018; Wang et al. 2018a). It is widely reported that these toxic metals directly disrupts lipid and glucose metabolism by altering both glucose and lipogenic gene expressions (Adebayo et al. 2015; Sun et al. 2017; Zhang et al. 2018), disrupting endocrinal cell function and the release of hormones (Rana 2014; Sabir et al. 2019), altering the functioning of cell surface receptors and the uptake of glucose and lipids (Ficková et al. 2003), and influencing de novo lipogenesis (Adebayo et al. 2015), thus inducing lipid dysregulation and redistribution resulting in fat accumulation, weight gain and obesity (Fig. 1).
Heavy metals are also known to inhibit insulin signaling and have been suggested to be responsible for indirectly promoting de novo lipogenesis as a result of surge in circulating glucose among hyperglycemic patients (Leff et al. 2018). Cd2+, Pb2+, As3+ and Hg2+ are reported to influence the redistribution of cholesterol, fatty acids and triglycerides into various tissues and cells. Whereas multiple studies indict these heavy metals for their association with lipid metabolism disorders (Cheng et al. 2011; Feng et al. 2015; Go et al. 2015; Lacerda Leocádio et al. 2020), an assessment study by Rotter et al. (2015) and Padilla et al. (2010) showed a negative correlation to that effect which prompts the need for further investigation to confirm their specific role in lipid metabolism. It should however be noted that in contrast to these two reports, a substantial amount of experimental evidence associates heavy metals with lipid metabolism disorders and obesity (Attia et al. 2021) but a review on how they affect lipid metabolism genes and lipid regulatory factors is yet to be examined, hence this study seeks to partially fill this knowledge gap by evaluating available data through the years.
Lipoprotein and heavy metal interaction
Lipid transport and lipoprotein formation
The liver is the central organ for regulating systemic glucose and lipid metabolic fluxes (Mu et al. 2019). The principal sources of these systemic lipids are from dietary absorption and de novo lipogenesis. Absorbed lipid molecules from digestion, modified by the endoplasmic reticulum, are transported to the liver in association with hydrophilic protein molecules by forming a lipid-protein complex known as lipoprotein, due to the water insoluble nature of the absorbed lipid products (Wang et al. 2013).
Lipoproteins are macromolecular complexes consisting of a mixture of proteins and lipids with a cholesterol esters and triglyceride central core, surrounded by free cholesterol, phospholipids, and apolipoproteins which facilitates the formation and function of the lipoprotein. Apolipoproteins which binds to the surface of the lipoprotein structure are essential for lipoprotein stabilization, activation of lipophilic enzymes and facilitates the binding of low density lipoproteins to lipoprotein receptors on cell surface to aid their uptake (Gursky 2015). Plasma lipoproteins are classified into six groups based on size variations, lipid composition and apolipoproteins, and these include chylomicrons, chylomicron remnants, very low-density lipoprotein, intermediate density lipoprotein, low-density lipoprotein and high-density lipoprotein.
Lipoprotein metabolism and the effect of heavy metals
Lipoprotein metabolism occurs via two main pathways, exogenous and endogenous, depending on whether its origin is of dietary or hepatic source (Fig. 2). In exogenous pathway, dietary lipids are incorporated into chylomicrons in the intestines and absorbed into blood. During circulation, lipoprotein lipase found on the surface of endothelial cells cleaves the triglycerides from the chylomicrons which further hydrolyzes the triglycerides into fatty acids, diglycerides and monoglycerides (Zhyvotovska et al. 2019). These lipid components then diffuse into cells to be oxidized for the release of energy or become incorporated into adipose tissues to be re-synthesized into triglycerides and stored as fat (Ory 2007; Tao et al. 2020). In endogenous lipoprotein pathway, triglycerides synthesized in the liver are packaged into very low-density lipoprotein. The triglycerides carried in very low-density lipoprotein are stripped and hydrolyzed by the action of lipoprotein lipase, which then diffuses into muscle and adipose tissues to be metabolized or re-synthesized into storage fat. Very low-density lipoprotein after releasing its triglyceride is converted into intermediate density lipoprotein which is further metabolized to low-density lipoprotein (Behl et al. 2020; Feingold and Grunfeld 2018).
Heavy metals are a major disruptor to the homeostatic regulation of circulating lipids and the expression of lipid receptors. Afolabi et al. and Liu et al. observed an increase in total plasma cholesterol levels in rats after exposure to Cd2+ and reported that the reduced efflux of very low-density lipoprotein cholesterol was as a result of low-density lipoprotein activity loss or a decrease in low-density lipoprotein receptor function, leading to a decrease in low-density lipoprotein catabolism (Afolabi et al. 2012; Liu et al. 2020). Jolibois et al. (1999) also observed a decrease in the mRNA expression of low-density lipoprotein receptor (LDLR) in human placental cells after exposure to Cd2+. Similarly, Chi et al. (2019a) observed that expression of the cholesterol transporter genes low-density lipoprotein receptors (LDLR) and scavenger receptor class B type 1 (SCARB1) were significantly lower in mice exposed to arsenic compared to the control, suggesting that this effect might have been responsible for the high serum cholesterol levels. These findings together indicate that exposure to toxic metals can influence the levels of plasma cholesterol and low-density lipoprotein lipids by downregulating the expression and function of LDLR, lipoprotein lipase (LpL) and other lipid transporters, receptors and metabolism genes. Moreover, a decrease in the activity of lipoprotein lipase, as a result of metal inhibition, could also account for the reduced catabolism of very low-density lipoprotein and may explain the elevation of circulating pro-atherogenic lipid (Afolabi et al. 2012).
De novo lipogenesis and lipid accumulation
De novo lipogenesis is a complex and highly regulated biosynthetic pathway by which fatty acids are synthesized from acetyl CoA subunits produced within cells from various sources, especially from carbohydrate catabolism (Song et al. 2018). This metabolic process often takes place in the liver when excess sugars, which are not metabolized or stored as glycogen under physiological conditions, are converted into fatty acids and then esterified into triglycerides (Yilmaz et al. 2016). The process begins with an ATP-dependent carboxylation of acetyl coenzyme A (CoA) subunits to malonyl-CoA, catalyzed by the enzyme acetyl CoA carboxylase. With an acetyl CoA serving as a primer, malonyl CoA’s are attached through the action of the multifunctional enzyme complex, fatty acid synthase. The sequential addition of the two-carbon malonyl CoA generates an elongated fatty acid which is then esterified into triglyceride (Sanders and Griffin 2016).
Initiation of de novo lipogenesis occurs mostly by feeding on hypercaloric or high-carbohydrate diet which results in sugar overload. De novo lipogenesis from carbohydrate, however, is an energetically expensive process due to its ATP-dependent nature and does not significantly contribute to total body fat deposit in healthy individuals (Giles et al. 2016; Song et al. 2018). Nonetheless, dependence on highly refined carbohydrates, changes in lifestyle and exposure to endocrine disrupting chemicals both alters glucose regulation which influences de novo lipogenesis, causing a surge in the synthesis of fatty acids where its contribution to total body fat becomes significant (Maradonna and Carnevali 2018). A study by Vineeth Daniel et al. (2019) indicated that exposure of mice to Pb2+ caused an upregulation and transactivation of the carbohydrate responsive element binding protein (ChREBP), a transcription factor that regulates the expression of genes responsible for glycolysis and hepatic de novo lipogenesis. Lipogenic markers such as fatty acid synthase (FAS) and acetyl CoA carboxylase (ACC) were also found to be upregulated and resulted in a dense lipid droplet accumulation in the liver of Pb2+ treated mice. Similarly, Zhang et al. (2018) observed that Cd exposure led to the upregulation of FASN and stearoyl-CoA desaturase-1 (SCD1), typically involved in de novo lipogenesis through fatty acid and monounsaturated fatty acid synthesis, but its direct effect on inducing de novo lipogenesis was not determined. Present studies on heavy metal-induced lipid dysregulation through de novo lipogenesis however remain sparse indicating that more studies are required to establish this phenomenon.
Heavy metals and plasma lipid dysregulation
In vivo studies in animal models
Maintenance of optimal plasma and cellular lipid homeostasis is pivotal to the normal functioning of an organism. As such, an abnormal deviation from a balanced equilibrium of lipid uptake, metabolism, storage and redistribution may have deleterious lipid-associated health effect on an organism (Małodobra-Mazur et al. 2020). However, as indicated earlier, heavy metals are well known to induce a disturbance in the homeostatic redistribution of dietary lipid by downregulating lipid metabolism and transport genes, thus limiting its uptake by cells and liver. This change in lipid profile results in accumulation of hepatic and serum lipids and cholesterol.
In a study by Samarghandian et al. (2015), it was shown that the administration of cadmium (2.0 mg/L) in the drinking water of mice for 3 months led to an increase in serum triglyceride, low-density lipoprotein cholesterol and total cholesterol with a decrease in the level of high-density lipoprotein cholesterol. In a similar study by Olisekodiaka et al. (2012), rats administered with Cd2+ at a dose of 1.0 mg/kg body weight for 4 weeks saw an increase in plasma triglyceride, total cholesterol and low-density lipoprotein cholesterol with a corresponding decrease in high-density lipoprotein cholesterol. In both studies, Cd caused an increase in the levels of malondialdehyde, a product of lipid peroxidation and a decrease in the total antioxidant status. In another study, Oluranti et al. (2021) reported that after exposure of rats to Cd (5.0 and 30.0 mg/kg), the levels of free fatty acid, total cholesterol and triglyceride in the heart increased significantly with respect to control, with a reduction in lipoprotein activity among rats exposed to 30.0 mg/kg Cd. Glucose metabolic pathway was also significantly impaired in Cd exposed groups with a significant decline in serum insulin level, and pyruvate and hexokinase activities (Oluranti et al. 2021). These reported fluctuations in lipid and glucose metabolic fluxes in the heart may be a prime contributing factor to the development of cardiac dysfunction and other cardio-metabolic syndromes.
To examine the effect of chronic As3+ exposure on lipid metabolism alterations and its subsequent effect on murine offspring in intergenerational study, Rivas-Santiago et al. (2019) exposed Wistar rats to 3 ppm sodium arsenate in drinking water through gestation and lactation until the offspring were 4-months-old. Although no significant change was observed in the level of serum adiponectin, an adipocyte-derived hormone that increases insulin sensitivity and regulates lipid metabolism, the serum lipid metabolomic profile of the rats however showed significant changes in the metabolism of glycerophospholipid and glycerolipid. A decrease in the levels of phosphatidylcholines and an increase in the levels lysophosphatidycholines were also observed in the animals exposed to As3+ compared with the control. An increase in lipid peroxidation induced by As3+-mediated oxidative stress in treated rats was also reported as indicated by the high malondialdehyde levels (Rivas-Santiago et al. 2019). The findings from the above studies show that both Cd2+ and As3+ have the ability to induce dysregulation in lipid metabolism and promote oxidative stress through lipid peroxidation as determined by the increase in malondialdehyde levels, whereas decreasing the antioxidant status through the production and accumulation of reactive oxygen species within cells and tissues.
In mice and rats exposed to MeHg and Pb, though the serum lipids were perturbed, the reported findings (as shown in Table 1) deviate from the expected and established outcome. While Moreira et al. (2012), after exposing mice to 40 mg/L MeHg observed an increase in all serum lipid profiles, Uzunhisarcikli et al. (2015) after exposing rats to 1 mg/kg body weight of HgCl2 reported a decrease in triglyceride, total cholesterol and low-density lipoprotein cholesterol. Likewise Wadaan (2009) after exposing rats to 20 ppm HgCl2 similarly observed a decrease in triglyceride, total cholesterol and high-density lipoprotein cholesterol. These apparent difference in the research outcomes may be attributed to the different nature of metal (MeHg and HgCl2) and exposure dosage. Allouche et al. (2011) after chronic exposure of rats to different concentrations (0.025, 0.5, 0.1 and 0.3%) of lead acetate in drinking water observed that though Pb2+ contributed to weight gain and increased obesity risk, no association was found to exist between Pb and serum concentrations of total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol and triglyceride among lead exposed groups compared to the control group. On the contrary, Heidarian and Rafieian-Kopaei (2013) observed an increase in triglyceride and very low-density lipoprotein levels and a decrease in low-density lipoprotein and total cholesterol levels with no observable difference in high-density lipoprotein cholesterol after rat were exposed to 500 mg lead acetate/kg diet. Okediran et al. (2018) on the other hand reported that alteration in lipid profile in rats exposed to Pb2+ was both time and dosage dependent. They observed that increasing dosage and time increased the serum levels triglyceride, total cholesterol, high-density lipoprotein cholesterol with a corresponding decrease in the serum levels low-density lipoprotein and phospholipids. Though a dysregulation in the lipid profile as induced by heavy metals is indicated, the extent of dysregulation for each metal differs to some extent, and these differences may be due to factors such as dosage, duration of exposure and the type of model organism used for the study.
Heavy metals and plasma lipid dysregulation in humans
Heavy metals remain a major health risk factor in humans due to their ability to induce cardiometabolic syndromes and other life-threatening illnesses. Of this, Steinmaus et al. (2015) have reported the association between arsenic exposure and its relation to obesity, increased weight and the risk of cancer. In a study by Shin et al. (2018) among a population of 1,567 children and adolescents, and Park et al. (2017a) from a population size of 200 healthy subjects, a positive correlation between total blood mercury levels, fat deposition, overweight and obesity was observed. A cross-sectional study by Zhou et al. (2016) among Chinese workers with occupational exposure to Cd2+ showed a positive correlation between Cd2+ levels and dyslipidemia. The prevalence of dyslipidemia was found to increase dose-dependently among subjects. They further found a close association between blood Cd2+ levels and body mass index as subjects with a higher Cd2+ concentration had a correspondingly higher body mass index. The levels of triglyceride, low-density lipoprotein cholesterol and total cholesterol were also found to be higher when Cd2+ concentrations were high, with a corresponding lower high-density lipoprotein cholesterol levels. Similarly, a cross-sectional study by Tangvarasittichai et al. (2015) among 534 volunteered subjects from cadmium contaminated and non-contaminated communities showed similar results as observed by Zhou et al. (2016).
Due to the correlation between serum/tissue lipid content and diabetes, other researchers have sought to find the relationship between heavy metal exposure and diabetes. In a cross-sectional study conducted among 5,544 volunteers, Nie et al. (2016) found that subjects who showed higher blood Cd2+ level were more likely to be obese or overweight. A comparatively similar cross-sectional studies and evaluations among populations exposed to Hg2+ (n = 3951) (Cho 2017), As3+ (1160) (Mendez Michelle et al. 2016), and Pb2+ (5558) (Wang et al. 2015a) have also been investigated concluding with similar results as that found in individuals with elevated blood cadmium in relation to lipid dysregulation, overweight, obesity and diabetes risks. Among 569 adults with arsenic exposure, Sarker et al. (2021) also observed an apparent disparity in arsenic-induced metabolic syndrome between males and females recruited from high- and low-arsenic exposure areas. Females were found to be more susceptible to developing metabolic syndrome with hypo-high-density lipoprotein cholesterol, hyperglycemia, high abdominal obesity and insulin intolerance compared to males.
Though metal exposure in the above studies showed lipid profile dysregulation, the pattern of triglyceride, total cholesterol, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol dysregulation differed, with some parameter remaining unaffected in some cases. Example, whereas Cd2+ is reported to cause a significant increase in serum total cholesterol, triglyceride, low-density lipoprotein cholesterol, with a corresponding decrease in high-density lipoprotein cholesterol, serum high-density lipoprotein cholesterol levels, after As3+ and Hg2+ exposure, are reported to be higher in some studies (Mendez Michelle et al. 2016; Sohn et al. 2020). Nonetheless, findings from other studies indicate no statistically significant differences in serum lipid profile (Cho et al. 2020; Kasperczyk et al. 2005; Sohn et al. 2020), and as well identified no correlation between metal exposure and changes in lipid profile (Kim 2012) (See Table 2 for details). Moreover, in spite of the higher antiatherogenic high-density lipoprotein cholesterol levels observed by Mendez et al., individuals with exposure to arsenic were found to be potentially at risk of developing cardiometabolic syndromes (Mendez Michelle et al. 2016).
In vivo studies on lipid metabolism gene aberration by heavy metals
a) Heavy metals on lipogenic gene expression
Regulatory genes, enzymes and transcription factors involved in lipid synthesis are reported to be altered by toxic metals which effectively results in the dysregulation of lipid metabolism process and fat accumulation, a precursor for diabetes, insulin resistance and obesity (He et al. 2015). The influence of heavy metals on altering the expression of genes and proteins that modulates lipid and glucose metabolism, synthesis, uptake and storage have been investigated as shown in Table 3. The mechanism by which heavy metals cause an increase in serum lipid levels is shown in Fig. 3.
Adebayo et al. (2015) observed that chronic exposure of mice to low dose of arsenic modulates the hepatic expression of genes involved in the regulation lipogenesis. The exposure led to a reduced SREBP-1c expression which conjointly resulted in a disturbance of SREBP-1c specific lipogenic genes expression. Arsenic thus downregulated the expression levels of SREBP-1c, FAS, diglyceride acyltransferase (DGAT) and LDLR Adebayo et al. (2015). Wauson et al. (2002) also observed that treatment of C3H 10T1/2 cells with 6 μM arsenic for 2 months significantly reduced the expression levels of the adipose modulating genes peroxisome proliferative-activated receptor γ (PPARγ), CCAAT-enhancer binding protein α (C/EBPα) and adipocyte fatty acid-binding protein (aP2), blocked the upregulation of cyclin dependent kinase inhibitor protein 21 (p21Cip1/Waf1) and inhibited the differentiating effect of the adipogenesis drug, pioglitazone which is clinically used to induce adipogenesis through PPARγ activation. In another study aimed at establishing the role of arsenic on inducing atherosclerosis through altered lipid metabolism, rats exposed to arsenic contaminated water (133 μg/mL), and/or high cholesterol diet showed a transient increase in heat shock protein 70 (Hsp70) and high-sensitive C-reactive protein (hs-CRP) which are markers of cellular stress and myocardial infarctions. It was further observed that the arsenic significantly suppressed the activities of cholesteryl ester transfer protein-1 (CETP-1) and liver X receptor β (LXRβ) while decreasing the ratio of high-density lipoprotein cholesterol to low-density lipoprotein cholesterol (Cheng et al. 2011). Similarly, in zebra fish, arsenic was found to alter the expression of carnitine O-octanoyltransferase (CROT), fatty acid binding protein 3 (FABP3), and 3-hydroxy-3-methylglutaryl-CoA synthase 1 (HMGCS1), genes required for lipid metabolism and transport (Carlson and Van Beneden 2014). Likewise, exposure of diabetic db/m mice to inorganic arsenic downregulated the expression of lipid metabolism-related genes such as cluster of differentiation 36 (CD36), 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR), fatty acid synthase (FASN), ATP-binding cassette transporter A1 (ABCA1) and Pparγ coactivator (PGC), but upregulated the expression of PPARR-2, phosphoenolpyruvate carboxykinase (PCK1), Cyclin D1 (CCND1) and glycosylphosphatidylinositol-anchored high-density lipoprotein-binding protein 1 (GPIHBP1) genes in liver (Liu et al. 2014). In male Sprague Dawley rat liver however, arsenic exposure significantly elevated the expressions of carnitine palmitoyltransferase 2 (CPT2), ecithin–cholesterol acyltransferase (LCAT), mitochondrial carnitine/acylcarnitine carrier protein (CACT), CROT and 5-methyltetrahydrofolate-homocysteine methyltransferase (MTR) in high dose groups (sodium arsenite) (Wang et al. 2015b). Chronic exposure of C57BL6J male mice to sodium arsenite (300 μg/L for 9 weeks) revealed a significant impairment in both glucose and lipid homeostasis which affected the body heat production ability of the mice in cold environments. Although food intake or body weigh was not affected, the arsenic exposed group had an increased total fat mass and subcutaneous inguinal white adipose tissue mass. Expression of genes involved in regulating lipolysis, fatty acid metabolism, adipogenesis, adaptive thermogenesis and inflammation were significantly decreased in As-exposed group. The study revealed that 6 gene involved in PPAR signaling including, solute carrier family 27 (fatty acid transporter) member 2 (SLC27A2), FABP3, uncoupling protein 1 (UCP1), ATP citrate lyase (ACSL5), carnitine palmitoyltransferase 1b (CPT1B) and malic enzyme 1 (ME1), and as well as 23 other genes responsible for regulating various glucose and lipid metabolic processes were significantly reduced by 31–50% indicating that arsenic could be a potent obesogen capable of disrupting normal lipid and glucose homeostasis, and energy balance (Castriota et al. 2020).
The lipogenic influence of Cd2+ on lipid synthesis and cholesterol redistribution examined by Wang et al. (2018a) indicated that Cd2+ effectively upregulated the lipid transporter ABCA1 which led to an increase in serum lipid levels of triglyceride, low-density lipoprotein cholesterol and total cholesterol while lowering high-density lipoprotein cholesterol levels in Cd treated HepG2 cells. Although Zhang et al. (2018) also indicated that exposure to Cd2+ upregulated the mRNA level of hepatic FASN, stearoyl-CoA desaturase-1 (SCD-1), hepatic fatty acid uptake genes (FABP1, FABP4) and hepatic LpL among adult female CD1 mice, insulin resistance, obesity and hepatic lipid accumulation were not significantly affected. Moreover, the gene profile of mice exposed to sub-chronic dose of Cd2+ (10 mg/L for 10 weeks) revealed an alteration in the expression of key genes involved in both glucose metabolism and de novo free fatty acid synthesis and transport pathways. The mRNA levels of glucose metabolism genes such as glucose transporter 2 (GLUT2), ChREBP, citrate synthase (CS) glucose kinase (GK) and pyruvate kinase (PK) were observed to increase significantly in the liver of mice exposed to 10 mg/L of Cd2+ in drinking water. Similarly, the expression of lipid metabolism genes including the hepatic lipogenesis transcription factors (PPARγ, SREBP1-c), fatty acid synthesis and transport genes (FAS, FAT, FATP2, FABP1), triglyceride synthesis genes (DGAT1/2, GPAT) were significantly increased in mice exposed to sub-chronic dose of Cd (10 mg/L) thus perturbing lipid and glucose homeostasis, and hepatic energy metabolism process (Zhang et al. 2015). In female CD1 mice administered with a combination of CdCl2 and methylmercury (II) chloride (MeHgCl), Camsari et al. (2017) reported of an impaired glucose homeostasis, a higher body weight and an increase in abdominal adipose tissue weight in male offspring of treated females. Genes (GLUT4, IRS1, FASN, Acetyl-CoA carboxylase alpha (ACACA), FATP2, CD36 and G6PC) associated with maintaining glucose and lipid homeostasis in the liver and abdominal adipose tissues were significantly altered indicating that the effect of heavy metal in females during gestation could persist through their offspring and may amplify the incidence of developing metabolic syndrome.
In lead related studies, Sun et al. (2017) observed that Pb2+-induced obesity was as a result of DNA methylation of lipogenic and glucose metabolism genes. DNA methylation regulates gene expression by either inhibiting or suppressing the binding of transcription factors to target sequences and thereby downregulating their expression. Genes that were affected, according to their study, included those relating to fatty acid transport and synthesis (LDLR, fatty acid transport protein (FATP), glycerate kinase (GLYCTK), DGAT1, DGAT2), fatty acid oxidation (medium chain acyl-CoA dehydrogenase (MCAD), CPT-2, CYP4a, acyl CoA oxidase (ACOX)), very-low density lipoprotein-triglyceride assembling (microsomal triglyceride transfer protein (MTTP), apolipoprotein-CIII (APO-CIII), APO-V, APO-IV) and LXR and SREBP-1c transcription factors. The glucose metabolism related genes such as PKA and AKT, the gluconeogenesis genes phosphoenolpyruvate carboxykinase (PEPCK) and G6pase, as well as cholesterol metabolism genes such as CYP51 and acetyl-CoA acetyltransferase (ACAT) were also affected. These genetic alterations were found to result in weight gain, glucose intolerance, insulin resistance, elevated serum triglyceride and the accumulation of hepatic lipids. To study the transgenerational effect of a 24 h Pb2+ exposure on zebrafish brain transcriptomics, Meyer et al. (2020) exposed zebrafish (Danio rerio) embryo to 10 μM after which they were allowed to mature and spawn producing first and second-generation offspring. Similar to Sun et al. (2017) observation, Meyer et al. (2020) noticed that Pb2+ induced epigenetic changes through DNA methylation across several systemic functions (nervous and endocrine systems) and metabolic pathways. A total of 323 genes associated with endocrine system and 80 genes relating to lipid metabolism pathways were found to be significantly altered, indicating that Pb exposure (even acute) could have long lasting generational effect.
In the adipose tissue of C57BL/6 J mice exposed to MeHg (0.5, 1.0, 5.0 μM), Ferrer et al. (2018) reported that mercury failed to significantly affect the adipogenic gene PPARγ, lipogenic genes (ACACA, FASN), lipolytic genes (patatin-like phospholipase domain containing 2 (PNPLA2) and LpL), and the genes that control β-oxidation (CPT1a) and transport (CD36). The mRNA expression for PPARγ, FASN and PNPLA2 were however suppressed in a dose-dependent manner in the liver of male mice with MeHg exposure with a corresponding decrease in hepatic triglyceride. Irrespective of the observation made by Ferrer et al. (2018), studies on other model organisms subjected to mercury reports of significant changes in lipogenic genes. For example, Ferain et al. (2018) indicated that the phospholipid fatty acid profile in the liver of rainbow trout were affected by methylmercury exposure. The study showed that methylmercury significantly downregulated fatty acid elongase 5 (ELOVL5), FATP1, whereas FASN, carnitine palmitoyl transferase 1 (CPT1) and fatty acid desaturase 2 (FADS2) were upregulated. Similarly, in preadipocytes of rainbow trout cultured with MeHg supplementation, Tinant et al. (2021) observed an upregulation of the lipid metabolism genes, FAS and FABP11a, as well as several adipocyte-specific genes including perilipin 2 (PLIN2) and apolipoprotein Eb (APOEB) inducing an intracellular accumulation of the neutral lipid polyunsaturated fatty acid (PUFA) in MeHg dose dependent manner. Using Caenorhabditis elegans as a model organism for studying mammalian response to MeHg due to their shared conserved pathways in synthesizing and oxidizing fatty acids, and regulating lipid homeostasis, Caito et al. (2020) treated C. elegans with 10 or 20 μM MeHg for 30 min and examined its gene expression profile and triglyceride levels. Out of the 215 differentially regulated genes, 17 were involved in lipid metabolism and 12 involved in maintaining glucose homeostasis. Expression of the pro-adipogenic transcription factor C/EBP-1 (a homolog of human C/EBP) known to play a role in the development of metabolic syndrome was upregulated. Other pro-adipogenic transcription factors upregulated by MeHg include NHR-49 (homolog of PPARγ) and SBP-1 (a homolog of human SREBP), the triglyceride synthesizing enzyme acyltransferase (a homolog of human glycerol-3-phosphate acyltransferase, GPAT), and the lipid transporter proteins vitellogenins (VIT-2 and VIT-6). The above studies all demonstrate that Hg2+/MeHg is an important environmental contaminant capable of inducing biochemical and metabolic changes in organisms especially, to the lipid profile and thereby leading to metabolic dysfunction. Heavy metals thus largely distort lipid metabolism by influencing the lipogenic gene expression patterns leading to lipid metabolism dysregulation and redistribution.
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(b)
In vitro and in vivo assessment of possible pathway of lipogenic gene aberration by heavy metals
Since hepatic cells regulate lipid metabolism and governs the whole-body energy metabolism process by serving as the major site for the storage and release of glucose and lipids, determining the expression pattern of lipid metabolism genes after exposure to heavy metals is important to understanding the mechanism and pathways by which metals induce dyslipidemia. The expression of lipid metabolism genes is regulated at the transcriptional level in a coordinated fashion among several transcriptional factors with poly- and mono-unsaturated fatty acids serving as natural ligands that activate most of these transcription factors (Ayisi et al. 2018; Jump et al. 2006).
Studies have indicated that Cd2+ (Newairy et al. 2007; Olszowski et al. 2018) and arsenic (Chi et al. 2019b) can significantly decrease the levels of PUFA due to their high susceptibility to peroxidation (Gaschler and Stockwell 2017). Decline in poly- and mono-unsaturated fatty acids levels could therefore negatively affect the activation of transcription factors and may account for the downregulation of most lipogenic gene expressions. Several lipogenic gene transcription factors have been identified among which SREBPs, LXR(α/β), ChREBP and PPAR(α/γ) are most prominent (Cheng et al. 2016; Jump et al. 2006; Vineeth Daniel et al. 2019; Xia et al. 2018). LXR transcription factors are nuclear receptors with pivotal role in the transcriptional control of lipid metabolism. The transcriptional activity of LXR is induced in response to elevated cellular cholesterol levels. LXRs thus binds to and regulates the expression of genes that encode proteins involved in cholesterol absorption, transport, efflux, excretion and conversion to bile acids (Wang and Tontonoz 2018). Similarly, SREBPs are transcription factors that regulates fatty acid and cholesterol biosynthesis by directly activating the transcription of genes needed for the uptake and synthesis of cholesterol, fatty acid, triglycerides and phospholipids. Though heavy metals have been shown the affect the expression and activity of these transcription factors, differences in their expression pattern have been reported. The expression of LXR and SREBPs have been shown to be down-regulated by As and Pb in both in vivo and in vitro studies (Adebayo et al. 2015; Sun et al. 2017). Cheng et al. (2016) showed that As3+ inhibited the expression of LXR at both the mRNA and protein level and subsequently decreased the protein level SREBP-1c. The inhibition of LXR by As3+ resulted in a reduced efflux of cholesterol from HepG2 cell to the extracellular space. Moreover, As also elevated the expression of C/ETP involved in reverse cholesterol transport, where cholesterol is transferred from high-density lipoprotein to apolipoprotein B-containing lipoproteins to become low-density lipoprotein and delivering the cholesterol to the hepatocytes to be secreted into bile or bile acid.
Suppression of SREBP-1c expression by arsenic was found to inhibit the expression of FAS, LDLR, SCD-1 and DGAT-2 genes but this effect was time dependent as the inhibition observed at 6 h. waned, after which there was an upregulation in the expression levels of SREBP-1c and its target genes at 16 h. (Adebayo et al. 2015). It has been previously observed that DNA hypermethylation of SREBP1-c and LXR by Pb2+ could have been responsible for the gene repression and downregulation of genes involved in fatty acid transport (LDLR, FATP, Glyctk, DGAT1 and DGAT2) and fatty acid oxidation (CPT-2, MCAD, ACO) and may have thus been responsible for the elevated lipid synthesis in the liver and serum (Sun et al. 2017). Taken together, an inhibition of lipid metabolism transcription factors is a major precursor for the downregulation of most lipogenic genes and may account for the dysregulation in the processes that ensures the maintenance of lipid homeostasis in both hepatic tissue and serum.
The downregulation of lipogenic genes is also closely associated with excess accumulation of cellular and serum lipids, and this could be due to limited protein and enzymes for biosynthesis, absorption, trafficking and cholesterol efflux. In contrast to the findings by Cheng et al. (2016) who reported that As down-regulates lipid transcription factors (SREBPs and LXR), a study by Xia et al. (2018) however indicated that chronic exposure to low doses of Pb2+ resulted in an upregulation of the transcription factors SREBP-1c, SREBP2, PPARα and PPARγ which activate key genes involved in fatty acid transport, β-oxidation, glycolysis, triglyceride synthesis and de novo lipogenesis. Although both authors observed a dysregulation in the lipid profile, Cheng et al. (2016) attributed the lipid and cholesterol accumulation to the reduced expression level of proteins and enzymes needed for the cholesterol metabolism, transport and efflux of cellular and serum cholesterol, whereas Xia et al. (2018) on the other indicated that the upregulation of SREBP may have induced the genes (FAS, SCD1 and ACC) required for de novo lipogenesis, and thus, the accumulated lipids may have been as result of enhanced de novo lipogenesis.
Association of multiple heavy metals on serum lipid dysregulation
Whereas the positive association of each single heavy metal with serum lipid dysregulation is well documented, the correlation between exposure to multiple heavy metals and dyslipidemia show some apparent variations in reported studies. Poursafa et al. (2014) observed that a positive correlation between increasing serum Hg2+ and Pb2+ concentrations with higher triglyceride and total cholesterol in a cross-section of adolescents was linked to a higher risk of developing cardiometabolic syndrome. Xu et al. (2021) in a retrospective cross-sectional study on humans exposed to low-levels of Cd2+ and Pb2+ observed no apparent association between the two metals and dyslipidemia. They however reported that, whereas blood Pb was positively correlated with atherogenic serum lipid profiles, cadmium did not show any association with serum lipid profiles. In a study involving a group of elderly population with or without coronary artery disease, a positive correlation was found to exist between serum metal level and risk of developing coronary artery disease. Patients with coronary artery disease were found to have a significantly higher serum Pb2+, Cd2+ and Hg2+ when compared with the control population. Moreover, although elevated serum metal level was positively associated with coronary artery disease patients, no significant association with triglyceride, high-density lipoprotein cholesterol and total cholesterol/high-density lipoprotein cholesterol was established (Asgary et al. 2017).
Like all other cardiometabolic risks, ischemic stroke is a common disease associated with dyslipidemia, diabetes, pressure, obesity and other metabolic syndromes of which heavy metals are implicated as major contributors. Lin et al. (2018) thus examined the relationship between heavy metals and acute ischemic stroke but found no significant association between serum metal level and stroke risk factors such as body mass index, triglyceride and total cholesterol, fasting blood sugar and pressure among both stroke patients and control. After examining the association of 24 metals on blood lipid levels among 1201 participants with history of metal exposure, Li et al. (2021) observed that the relationship between different metal exposure and lipid markers are not identical, and that whereas essential metals showed a positive association with lipid markers (except high-density lipoprotein cholesterol), non-essential metals showed a negative association for lipid markers except for high-density lipoprotein cholesterol and low-density lipoprotein cholesterol. Though in human studies different metabolic risk effects are observed after multiple metal exposure, hypolipidemia mediated by oxidative stress and metal interaction was reported for rats exposed to a combination of Pb2+ (1.4 mg/kg), Cd2+ (0.01 mg/kg) and Mn2+ (0.14 mg/kg) for 15 weeks (Oladipo et al. 2017). These finding together suggest that, even though toxic metals in combination can induce dyslipidemia and other metabolic and cardiometabolic syndromes, the mechanisms and pathways of inducing these metabolic risks may be different among different host.
Heavy metal, gut microbiome and lipid metabolism dysregulation
The gastrointestinal tract of humans serves as a home to a large community of microbiome known to engage in several metabolic activities which are profoundly intertwined with human health (Gao et al. 2017; Lu et al. 2014). Accumulating evidence in recent years have demonstrated that ingestion of exogenous toxicant such as heavy metals through food or water can disproportionately shape the nature of the gut microbiome and may increase one’s susceptibility to contracting infectious diseases and may also be an underlying cause of metabolic syndromes such as lipid and lipoprotein metabolism dysregulations (See Table 4 and Fig. 4) (Dabke et al. 2019; Wang et al. 2020; Wu et al. 2016). This is because the gut microbiome has the capacity to perform many complex biochemical and metabolic processes that cannot be performed by the host, including the degradation of undigested carbohydrates through fermentation for the release of microbial metabolites that may function as energy substrates, inflammation modulators and signaling molecules (Lu et al. 2014; Oliphant and Allen-Vercoe 2019). It is commonly observed that among obese individuals, there is a dramatic change in the gut microbiome in relation to the ratio of Firmicutes to Bacteroidetes when compared with healthy lean individuals. Meaning, obese individuals are more likely to have a smaller proportion of Bacteroidetes than Firmicutes (Wu et al. 2016). Moreover, like heavy metals, it is reported that high-fat diet promotes an increase in Firmicutes while decreasing Bacteroidetes population in the gut (Wu et al. 2016).
In mice exposed to cadmium, He et al. (2020) observed that cadmium resulted in marked perturbation in gut microbiota which was characterized by a significant decrease in gut microbial richness and a lowered abundance in short chain fatty acid-producing bacteria leading to a reduced short chain fatty acid production in the gut. This change in the gut microbiome, as induced by Cd, resulted in substantial changes in the metabolic function of the mice and significantly inhibited gene pathways associated with amino acid, carbohydrate, lipid and energy metabolism (He et al. 2020). Short chain fatty acid generated from dietary fibers by gut bacteria play an essential role in modulating the hosts immune response, tumorigenesis and energy metabolism and as such a perturbation in microbial richness renders a person immune compromised (Xue et al. 2019).
Xia et al. (2018) also observed that chronic exposure of mice to Pb (0.1 mg/L for 15 weeks) decreased the relative abundance of both Firmicutes and Bacteroides but did not affect the relative abundance of Proteobacteria or Actinobacteria in the cecum. However, whereas the population of Firmicutes decreased significantly in the gut, there was a relative increase in the abundance of Bacteroidetes. Since the relative population of Firmicutes/Bacteroides is directly related to serum or hepatic lipid contents, it was observed that Pb significantly increased the expression level of key genes related to lipid metabolism in the liver, thus accounting for the elevation of the hepatic triglyceride and total cholesterol levels. This observation indicated that Pb was a potent agent for the disruption of hepatic and serum lipid homeostasis, and this was achieved through gut microbiome dysbiosis (Xia et al. 2018).
To understand the risk factors associated with perturbed gut microbiome, Xue et al. (2019) examine the serum metabolic profile of mice after exposure to 10 ppm arsenic for 4 weeks. They reported that whereas As3+ altered the gut microbiome, it also induced drastic changes in the metabolic pathways of fatty acid metabolism, phospholipids, sphingolipids and cholesterols metabolism when compared to the control, suggesting that As-induced gut microbiome perturbation can exacerbate metabolic disorders. It was further noted that when the population of gut microbiome was altered with microbial infection (Helicobacter trogontum), arsenic exacerbated the health risk of the host mice through elevated of lipid flux and a disruption of its metabolic function (Xue et al. 2019).
Bridges et al. (2018) examining how methylmercury induces alteration in intestinal microbiome and metabolome of teleost and mice observed that, the MeHg-altered gut microbiome led to significant changes in metabolic precursors related to neuronal function and lipid metabolism. The relative abundance of several long chain fatty acids, including stearic, palmitic, and oleic acids, were observed to have decreased significantly. Moreover, MeHg also significantly altered the availability of serine and phosphocholine precursors required for the generation of bioactive lipids. The MeHg-altered gut microbiome also resulted in changes in the expression of the lipid metabolism genes, FAS and ACOX1, and the metabolome, indicating that MeHg can influence the lipid profile of both teleost and mice by altering the microbiome and inducing epigenetic changes in its lipid metabolism genes (Bridges et al. 2018).
In view of the concept of developmental plasticity and a growing body of evidence that suggests that early-life exposure to an environmental toxicant could influence the establishment of a later-in-life gene dependent health defects through epigenetic dysregulation (Kuo et al. 2018), Wu et al. sought to find the underlying biological mechanism that regulates this event by exposing parental mice to 32 ppm Pb2+ through gestation to lactation till offspring were 3-weeks-old (Wu et al. 2016). At 40 weeks of age, it was revealed that Pb2+ shifted the gut microbiota in the mice offspring though exposure to Pb2+ was ceased when the offspring were 3-weeks-old. A significant inverse change in the ratio of Bacteroides/Firmicutes was also observed among obese mice having a higher gut population of Firmicutes than Bacteroidetes. Wu et al. (2016) therefore underscored that early-life exposure to Pb2+ could induced gut microbiome alteration, suggesting that this may be a contributing factor to the increased adult body weight even when Pb2+ exposure is removed at a later point in time. Although the study did not examine the effect of Pb2+ on lipid metabolism or serum lipid profile, it was reported that mice exposed to Pb2+ showed an increase in body weight but that this observation was sex dependent as weight gain in male mice was more pronounced than in females (Wu et al. 2016).
Though toxic metals significantly influence dysbiosis, the gut microbiome responds to the effect of the metal toxicity differently (Wu et al. 2016). Whereas some bacteria are more susceptible to the toxicity of certain metals, others have developed metal-specific resistance and are been exploited for metal detoxification in food processing and in clinical trials (Duan et al. 2020; Ibrahim et al. 2006). In an attempt to subvert the effect of metal-gut microbiome perturbation and lipid dysregulation, it has been reported in several studies that oral administration of probiotics can inhibit heavy metals absorption, protects the intestinal barrier and limit its effect on negatively affecting lipid metabolism (Zhai et al. 2016). Probiotic bacteria belonging to the Lactobacillus genus have been commonly exploited to detoxify cadmium (Afraz et al. 2020; Bhattacharya 2020; Gerbino et al. 2014; Ibrahim et al. 2006), lead (Afraz et al. 2020; Ibrahim et al. 2006), arsenic (de Matuoka e Chiocchetti et al. 2020) and mercury (Majlesi et al. 2017) and several other heavy metals from the gut of animal models, in in vitro studies and in water and also to improve the population of the established microbiome. The detoxification ability of these probiotics are pH and dosage (metal concentration) dependent. Gut microbiome and inoculation of probiotics may thus play an important role in the biotransformation of toxic metals through which their toxicity effects are suppressed (Chi et al. 2019a).
Whereas metals perturb lipid profile and gut microbiome, different metals at different doses have been reported to illicit different forms of toxicity, dysbiosis and dyslipidemic effects in mice. Example Richardson et al. (2018) reports of significant changes in microbiota composition when mice were exposed to high doses of chromium and cobalt whereas significant changes in the microbiota composition after exposure to arsenic, cadmium and nickel were dose-dependent and were also found to induce a large number of iron-importing gene suggesting the possibility of shared response pattern Richardson et al. (2018). As reported by (Li et al. 2020), different doses of cadmium in the form of telluride quantum dots similarly had different effect on gut microbiome. While low dose (0.2 and 2 μM) was reported to significantly increase gut microbiota diversity without affect the lipid profile, medium dose (20 μM) was found to have caused the biggest decrease in Firmicutes/Bacteroides ratio with a corresponding increase in triglyceride, low-density lipoprotein cholesterol and total cholesterol. Though changes in serum lipid profile was not detected, high dose (200 μM) caused toxicities in the liver and intestine and also affected intestinal immunity (Li et al. 2020). Particularly lacking is studies on the influence of mercury on gut microbiome dysbiosis and its relation to lipid metabolism dysregulation of which we recommend more studies.
Heavy metals, hormonal regulation and metabolic syndrome
Heavy metal induced insulin resistance and dyslipidemia
Insulin is a regulatory endocrine hormone that modulates circulating blood glucose. The role of insulin in regulating DNA synthesis and gene transcription of proteins involved in metabolic activities has also been observed (Batista et al. 2021; Sears and Perry 2015). One principal function of insulin is to suppress lipolysis of stored fat in adipocytes and gluconeogenesis in the liver. By inhibiting lipolysis, it promotes triglyceride storage and reduces the volume of circulating free fatty acids, and thus regulating very low-density lipoprotein production (Chakrabarti et al. 2013; Sears and Perry 2015).
Diabetes and dyslipidemia, common conditions of metabolic syndrome, are among the major disorders that emanate from insulin resistance as a result of accumulation of blood glucose and lipid metabolites. The levels of lipid metabolites in circulation are commonly used as biomarkers for insulin resistance and dyslipidemia and are also used as determinants for cardiovascular related diseases. The ratio of triglyceride to high-density lipoprotein cholesterol and total cholesterol to high-density lipoprotein cholesterol are the generally accepted best marker for insulin resistance (Artha et al. 2019). Studies over the years have linked heavy metal exposure to insulin and insulin receptor malfunction. Exposure to arsenic, for example, has been found to induce insulin insensitivity in humans and animals and is implicated as a factor for the onset of diabetes and the progression of obesity (Lin et al. 2014; Park et al. 2016). Chronic exposure of rats to cadmium has also been reported to impair pancreatic function, and induce insulin resistance in liver, muscle adipose tissue and cardiovascular tissue, thereby resulting in an increase in serum triglyceride, cholesterol, low-density lipoprotein cholesterol and very low-density lipoprotein, and a decrease in high-density lipoprotein cholesterol (Treviño et al. 2015). Findings from studies with arsenic (Afolabi et al. 2015; Padmaja Divya et al. 2015), mercury (Jung et al. 2016; Kim et al. 2015) and lead (Leff et al. 2018; Shyam et al. 2012) indicate similar observations suggesting that these heavy metals have specific effect on insulin signaling and the metabolism of fat or lipid and glucose and could lead to lipid accumulation, obesity and diabetes.
Role of heavy metals in diabetes
As an environmental and industrial toxicant, heavy metals have no known important biological roles except for their ability to alter the normal physiological function of the body by interfering with hormonal action, for which reason they are classified as endocrine disrupting chemicals (Lauretta et al. 2019; Leff et al. 2018). Studies on metal toxicology over the years have explored the hazardous effects heavy metals have on the initiation and progression of type 2 diabetes.
Although current understanding of the direct mechanism by which endocrine disrupting chemicals impair systemic function to promote diabetes initiation remains incomplete, evidence of their inhibitory roles on some endocrine glands and hormones that regulates sugar levels have been reported (Howard 2018; Sabir et al. 2019). Cadmium accumulation, for example, is reported to induce diabetes by competing with zinc, an essential metal required for insulin formation in pancreatic β-cells, thus impairing the function of the insulin producing pancreatic β-cells (El Muayed et al. 2012; Hong et al. 2021). Cadmium has also been found to reduce the number of insulin receptors and further renders the remaining unresponsive to insulin (Ficková et al. 2003). This negative dual effect of cadmium on insulin producing pancreatic β-cells and on insulin receptors may eventually account for the accumulation of blood glucose due to their inability to enter cells and may be a major contributing factor to the initiation and progression of type 2 diabetes. Like Cd2+, the pro-diabetic nature of arsenic (Islam et al. 2012; Kirkley et al. 2017; Liu et al. 2014), Pb2+ (Leff et al. 2018) and Hg2+ (He et al. 2013; Rizzetti et al. 2019) have likewise been investigated in both human and animal models, with a pronounced effect on pancreatic β-cells dysfunction, insulin resistance and an increased gluconeogenesis in the case of arsenic. The pro-diabetic nature of these heavy metals is largely due to their adverse effect on insulin transduction signaling and the inhibition of some genes responsible for glucose metabolism (Islam et al. 2012). The initiation of inflammation and oxidative stress provoked by heavy metals suppress insulin gene promoter mRNA expression and its activity in pancreatic islet cells thereby evoking an increase in systemic glucose levels and a downregulation in serum insulin levels, thus leading to hyperglycemia and diabetic progression (Khan and Awan 2014; Pizzino et al. 2017). Even though treatment of diabetes remains complicated, heavy metal chelators such as ethylenediaminetetraacetic acid (EDTA) (Diaz et al. 2018; Lamas et al. 2016) and lipoic acid (Ibrahimpasic 2013) have been found to suppress the progression of metal-induced diabetes and diabetes-associated cardiovascular events.
Heavy metals and the endocrine system
The endocrine system comprises of a network of glands that produce and secrete hormones responsible for regulating cellular and metabolic processes. Several environmental toxicants have been characterized as endocrine disruptors due to their ability to alter hormonal secretion by the glands, as well as their normal functioning and regulatory roles (Mahapatra et al. 2021; Szkudelska et al. 2021). Heavy metals have gained notoriety as endocrine disrupting chemicals due to their hazardous effect on the physiological functioning of both endocrine glands and the body in general. Stahr et al. (2021) observed a positive and dose-dependent correlation between postmenopausal women with arsenic exposure and obesity, hinting that high arsenic levels not only suppresses estrogen secretion but may also mimic or abrogate estrogen signaling pathway thereby altering all associated metabolic signaling processes including lipid metabolism. Nadal et al. (2017) observed that metabolic disrupting chemicals could regulate nutrient absorption and metabolism by altering intestinal transport and peptides that control food intake. Glucose uptake, for example, is reported to be altered significantly after the administration of metabolic disrupting chemicals such as polychlorinated biphenyls and 2,3,7,8-tetrachlorodibenzo-p-dioxin by either increasing the intestinal expression of sodium/glucose co-transporter 1 and glucose transporter type 2 genes, or by reducing insulin stimulated glucose uptake. These alterations together were associated with elevated plasma glucose levels suggesting an increase in intestinal glucose uptake and transport but a decrease in cellular glucose uptake and metabolism (Nadal et al. 2017).
In relation to heavy metals, Bell et al. (1990) reported of an elevated glucose levels in rats exposed to Cd2+ (0.84 mg/kg), whereas Sabir et al. (2019) describes Cd2+ and arsenic as hazardous endocrine disrupting chemicals that exhibits deleterious effect on carbohydrate metabolism pathways through modification and impairment of relevant key enzyme activity thus contributing to a considerably increase in blood glucose levels. These metals were also found to disrupt hormonal balance by damaging or altering the function of pancreatic islet and adrenal glands. These findings together indicate that heavy metals together with other endocrine and metabolic disrupting chemicals could influence the expression and secretion of gastrointestinal peptides and hormones responsible for dietary nutrient absorption of which glucose and lipid processes may be significantly affected.
In addition, the hypothalamus is an important region of the brain particularly responsive to hunger and satiety regulating signals and maintaining the overall energy balance by modulating food intake and energy expenditure (Austin and Marks 2009). An alteration in the expression and secretion of any hypothalamic peptide associated with glucose or lipid metabolism and appetite regulation may result in a compulsive eating behavior which could potentially lead to the development of hyperglycemia, hyperlipidemia and an accumulation of total visceral adipose fat (Nadal et al. 2017). Heavy metals, acting as endocrine disrupting chemicals, may thus induce obesity by influencing the hypothalamus and by distorting the expression of peptides that regulates appetite and satiety (Park et al. 2017b). The two major hormones, leptin and ghrelin, produced by adipose tissues and stomach but acts primarily on the hypothalamus to regulates food intake and body weight (Klok et al. 2007), have been observed to be influenced by toxic metals. Whereas Stasenko et al. (2010), Ferrer et al. (2018) and Kawakami et al. (2012) reports that Cd2+ and Hg2+ suppresses the mRNA expression of leptin, other studies have indicate that these two metals induced an elevation of leptin in plasma (Ashley-Martin et al. 2015; Ba et al. 2017; Rizzetti et al. 2019). Similar investigations on Pb2+ (Beier et al. 2015) and arsenic (Penta 2016) found that these metals induce an elevation of leptin hormone and implicating it as a factor for weight gain and obesity. Both elevation and suppression of leptin, above or below its optimal threshold, could trigger lipid and glucose dysregulation and potentially lead to the development of metabolic syndrome. This is because elevated leptin levels is directly associated with increased adipose tissue mass and insulin resistance which are factors for inducing obesity (Ashley-Martin et al. 2015), whereas persistently low leptin levels could trigger an incessant craving for food and subsequently lead to hyperglycemia, hyperlipidemia and cardiovascular diseases (Poetsch et al. 2020). Heavy metals may thus affect the production, release and function of these hormones in the hypothalamus, and may result hyperphagia leading to excessive food intake, abnormal lipid synthesis, accumulation and obesity.
Conclusion
The pervasive nature of heavy metals is a matter of public health concern due to the multiple cardiometabolic and pathophysiologic effect they induce after exposure, and the high likelihood of increased mortality. Though lipids and lipoproteins are required for carrying out physiological functions such as impulse transmission, formation of cellular or organellar membrane, for energy reserve and for maintaining systemic homeostasis, evidence show that exposure to toxic doses could induce lipid and glucose metabolism dysregulation thus influencing redistribution and accumulation, which are precursors for developing metabolic syndrome and other life-threatening clinical conditions. Evidence show that heavy metals distort serum lipid profile through lipogenic gene aberration, receptor inhibition, hormonal imbalance and gut microbiome perturbation resulting in high pro-atherogenic lipid levels while significantly decreasing anti-atherogenic lipid levels.
The deleterious influence of heavy metals on altering significant lipogenic genes essential for maintaining lipid homeostasis through inhibition of function or causing an increase in pro-atherogenic lipids in serum is illustrated. The transcription factors C/EBP, PPAR, SREBP, CHREBP and LXR which regulates the expression of a large set of lipid and glucose metabolism processes including β-oxidation, de novo lipogenesis, and the synthesis and transport of fatty acids, cholesterol, phospholipids and triglycerides are the most largely impaired or downregulated genes.
Given that heavy metals perturb gut microflora population, it is found that perturbation in the ratio of Firmicutes/Bacteroidetes accounts for increased risk of obesity due to the notable decline in glycolysis and lipid metabolism genes. In addition, decline in insulin production, insulin receptor insensitivity, and the decline in ghrelin and leptin secretion are among the many hormonal factors affected by heavy metal exposure, which together contributes to lipid dysregulation. In spite of the availability of several reports on heavy metal induced lipid dysregulation, studies are limited when it comes to de novo lipogenesis, and also Hg2+ induced lipogenic gene alteration in model animals. Further studies may therefore be required to accelerate current understanding and insight into their role in dysregulating serum lipid profile.
References
Adebayo AO, Zandbergen F, Kozul-Horvath CD, Gruppuso PA, Hamilton JW (2015) Chronic exposure to low-dose arsenic modulates lipogenic gene expression in mice. J Biochem Mol Toxicol 29:1–9. https://doi.org/10.1002/jbt.21600
Ademuyiwa O, Ugbaja RN, Idumebor F, Adebawo O (2005) Plasma lipid profiles and risk of cardiovascular disease in occupational lead exposure in Abeokuta, Nigeria. Lipids Health Dis 4:19. https://doi.org/10.1186/1476-511X-4-19
Afolabi OK, Oyewo EB, Adekunle AS, Adedosu OT, Adedeji AL (2012) Impaired lipid levels and inflammatory response in rats exposed to cadmium. EXCLI J 11:677–687. https://doi.org/10.17877/DE290R-10354
Afolabi OK, Wusu AD, Ogunrinola OO, Abam EO, Babayemi DO, Dosumu OA, Onunkwor OB, Balogun EA, Odukoya OO, Ademuyiwa O (2015) Arsenic-induced dyslipidemia in male albino rats: comparison between trivalent and pentavalent inorganic arsenic in drinking water. BMC Pharmacol Toxicol 16:15. https://doi.org/10.1186/s40360-015-0015-z
Afraz V, Younesi H, Bolandi M, Hadiani MR (2020) Optimization of lead and cadmium biosorption by Lactobacillus acidophilus using response surface methodology. Biocatal Agric Biotechnol 29:101828. https://doi.org/10.1016/j.bcab.2020.101828
Airaodion AI, Ogbuagu U, Ogbuagu EO, Airaodion EO, Mokelu IP, Ekeh SC (2019) Mechanisms for controlling the synthesis of lipids—review. Int J Res 6:123–135
Alidadi H, Tavakoly Sany SB, Zarif Garaati Oftadeh B, Mohamad T, Shamszade H, Fakhari M (2019) Health risk assessments of arsenic and toxic heavy metal exposure in drinking water in northeast Iran. Environ Health Prev Med 24:59. https://doi.org/10.1186/s12199-019-0812-x
Allouche L, Hamadouche M, Touabti A, Khennouf S (2011) Effect of long-term exposure to low or moderate lead concentrations on growth, lipid profile and liver function in albino rats. Adv Biol Res 5:339–347
Amira Z, Meryam D, Maryem B, El Mostafa K, Asmaa B, Olivier R, Thibault M, Mustapha C-M, El Mohamed A, Boubker N, Mohamed H, Gerard L (2018) Lipid biomarkers in Alzheimer’s disease. Curr Alzheimer Res 15:303–312. https://doi.org/10.2174/1567205014666170505101426
Artha IMJR, Bhargah A, Dharmawan NK, Pande UW, Triyana KA, Mahariski PA, Yuwono J, Bhargah V, Prabawa IPY, Manuaba IBAP, Rina IK (2019) High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus. Vasc Health Risk Manag 15:149–157. https://doi.org/10.2147/VHRM.S209830
Asgary S, Movahedian A, Keshvari M, Taleghani M, Sahebkar A, Sarrafzadegan N (2017) Serum levels of lead, mercury and cadmium in relation to coronary artery disease in the elderly: a cross-sectional study. Chemosphere 180:540–544. https://doi.org/10.1016/j.chemosphere.2017.03.069
Ashley-Martin J, Dodds L, Arbuckle TE, Ettinger AS, Shapiro GD, Fisher M, Taback S, Bouchard MF, Monnier P, Dallaire R, Fraser WD (2015) Maternal blood metal levels and fetal markers of metabolic function. Environ Res 136:27–34. https://doi.org/10.1016/j.envres.2014.10.024
Agency for Toxic Substances and Disease Registry (ATSDR). TATSDR’s substance priority list. Atlanta, GA: Public Health Service U.S. Department of Health and Human Services; Retrieved 2020. https://www.atsdr.cdc.gov/spl/index.html#2019spl
Attia SM, Varadharajan K, Shanmugakonar M, Das SC, Al-Naemi HA (2021) Cadmium: an emerging role in adipose tissue dysfunction. Exposure Health. https://doi.org/10.1007/s12403-021-00427-3
Austin J, Marks D (2009) Hormonal regulators of appetite. Int J Pediatr Endocrinol 2009:141753. https://doi.org/10.1155/2009/141753
Ayisi CL, Yamei C, Zhao J-L (2018) Genes, transcription factors and enzymes involved in lipid metabolism in fin fish. Agri Gene 7:7–14. https://doi.org/10.1016/j.aggene.2017.09.006
Ayoub N, Mantash H, Dhaini HR, Mourad A, Hneino M, Daher Z (2021) Serum cadmium levels and risk of metabolic syndrome: a cross-sectional study. Biol Trace Elem Res 199:3625–3633. https://doi.org/10.1007/s12011-020-02502-3
Ba Q, Li M, Chen P, Huang C, Duan X, Lu L, Li J, Chu R, Xie D, Song H, Wu Y, Ying H, Jia X, Wang H (2017) Sex-dependent effects of cadmium exposure in early life on gut microbiota and fat accumulation in mice. Environ Health Perspect 125:437–446. https://doi.org/10.1289/EHP360
Bambino K, Zhang C, Austin C, Amarasiriwardena C, Arora M, Chu J, Sadler KC (2018) Inorganic arsenic causes fatty liver and interacts with ethanol to cause alcoholic liver disease in zebrafish. Disease Models Mech 11:dmm031575. https://doi.org/10.1242/dmm.031575
Batista TM, Haider N, Kahn CR (2021) Defining the underlying defect in insulin action in type 2 diabetes. Diabetologia 64:994–1006. https://doi.org/10.1007/s00125-021-05415-5
Behl T, Kaur I, Sehgal A, Zengin G, Brisc C, Brisc MC, Munteanu MA, Nistor-Cseppento DC, Bungau S (2020) The lipid paradox as a metabolic checkpoint and its therapeutic significance in ameliorating the associated cardiovascular risks in rheumatoid arthritis patients. Int J Mol Sci 21:9509. https://doi.org/10.3390/ijms21249505
Beier EE, Inzana JA, Sheu T-J, Shu L, Puzas JE, Mooney RA (2015) Effects of combined exposure to lead and high-fat diet on bone quality in juvenile male mice. Environ Health Perspect 123:935–943. https://doi.org/10.1289/ehp.1408581
Bell RR, Early JL, Nonavinakere VK, Mallory Z (1990) Effect of cadmium on blood glucose level in the rat. Toxicol Lett 54:199–205. https://doi.org/10.1016/0378-4274(90)90184-N
Bhattacharya S (2020) The role of probiotics in the amelioration of cadmium toxicity. Biol Trace Elem Res 197:440–444. https://doi.org/10.1007/s12011-020-02025-x
Bridges KN, Zhang Y, Curran TE, Magnuson JT, Venables BJ, Durrer KE, Allen MS, Roberts AP (2018) Alterations to the intestinal microbiome and metabolome of pimephales promelas and mus musculus following exposure to dietary methylmercury. Environ Sci Technol 52:8774–8784. https://doi.org/10.1021/acs.est.8b01150
Briffa J, Sinagra E, Blundell R (2020) Heavy metal pollution in the environment and their toxicological effects on humans. Heliyon 6:e04691. https://doi.org/10.1016/j.heliyon.2020.e04691
Brites F, Martin M, Guillas I, Kontush A (2017) Antioxidative activity of high-density lipoprotein (HDL): mechanistic insights into potential clinical benefit. BBA Clin 8:66–77. https://doi.org/10.1016/j.bbacli.2017.07.002
Caito SW, Newell-Caito J, Martell M, Crawford N, Aschner M (2020) Methylmercury induces metabolic alterations in caenorhabditis elegans: role for C/EBP transcription factor. Toxicol Sci 174:112–123. https://doi.org/10.1093/toxsci/kfz244
Camsari C, Folger JK, McGee D, Bursian SJ, Wang H, Knott JG, Smith GW (2017) Effects of periconception cadmium and mercury co-administration to mice on indices of chronic diseases in male offspring at maturity. Environ Health Perspect 125:643–650. https://doi.org/10.1289/EHP481
Carlson P, Van Beneden RJ (2014) Arsenic exposure alters expression of cell cycle and lipid metabolism genes in the liver of adult zebrafish (Danio rerio). Aquat Toxicol 153:66–72. https://doi.org/10.1016/j.aquatox.2013.10.006
Cartularo L, Laulicht F, Sun H, Kluz T, Freedman JH, Costa M (2015) Gene expression and pathway analysis of human hepatocellular carcinoma cells treated with cadmium. Toxicol Appl Pharmacol 288:399–408. https://doi.org/10.1016/j.taap.2015.08.011
Castriota F, Zushin P-JH, Sanchez SS, Phillips RV, Hubbard A, Stahl A, Smith MT, Wang J-C, La Merrill MA (2020) Chronic arsenic exposure impairs adaptive thermogenesis in male C57BL/6J mice. Am J Physiol Endocrinol Metab 318:E667–E677. https://doi.org/10.1152/ajpendo.00282.2019
Chakrabarti P, Kim JY, Singh M, Shin YK, Kim J, Kumbrink J, Wu Y, Lee MJ, Kirsch KH, Fried SK, Kandror KV (2013) Insulin inhibits lipolysis in adipocytes via the evolutionarily conserved mTORC1-Egr1-ATGL-mediated pathway. Mol Cell Biol 33:3659–3666. https://doi.org/10.1128/MCB.01584-12
Chang C, Chen C, Yin R, Shen Y, Mao K, Yang Z, Feng X, Zhang H (2020) Bioaccumulation of Hg in rice leaf facilitates selenium bioaccumulation in rice (Oryza sativa L.) leaf in the wanshan mercury mine. Environ Sci Technol 54:3228–3236. https://doi.org/10.1021/acs.est.9b06486
Chen SJ, Yan XJ, Chen Z (2013) Arsenic in tissues, organs, and cells. In: Kretsinger RH, Uversky VN, Permyakov EA (eds) Encyclopedia of metalloproteins. Springer, New York, pp 135–138
Cheng TJ, Chuu JJ, Chang CY, Tsai WC, Chen KJ, Guo HR (2011) Atherosclerosis induced by arsenic in drinking water in rats through altering lipid metabolism. Toxicol Appl Pharmacol 256:146–153. https://doi.org/10.1016/j.taap.2011.08.001
Cheng TJ, Lin SW, Chen CW, Guo HR, Wang YJ (2016) Arsenic trioxide suppresses liver X receptor β and enhances cholesteryl ester transfer protein expression without affecting the liver X receptor α in HepG2 cells. Chem Biol Interact 258:288–296. https://doi.org/10.1016/j.cbi.2016.09.009
Chi L, Lai Y, Tu P, Liu C-W, Xue J, Ru H, Lu K (2019a) Lipid and cholesterol homeostasis after arsenic exposure and antibiotic treatment in mice: potential role of the microbiota. Environ Health Perspect 127:97002. https://doi.org/10.1289/EHP4415
Chi L, Tu P, Liu CW, Lai Y, Xue J, Ru H, Lu K (2019b) Chronic arsenic exposure induces oxidative stress and perturbs serum lysolipids and fecal unsaturated fatty acid metabolism. Chem Res Toxicol 32:1204–1211. https://doi.org/10.1021/acs.chemrestox.9b00039
Cho YM (2017) Fish consumption, mercury exposure, and the risk of cholesterol profiles: findings from the Korea National Health and Nutrition Examination Survey 2010–2011. Environ Health Toxicol 32:e2017014. https://doi.org/10.5620/eht.e2017014
Cho HW, Kim SH, Park MJ (2020) An association of blood mercury levels and hypercholesterolemia among Korean adolescents. Sci Total Environ 709:135965. https://doi.org/10.1016/j.scitotenv.2019.135965
Cobbina SJ, Duwiejuah AB, Quansah R, Obiri S, Bakobie N (2015) Comparative assessment of heavy metals in drinking water sources in two small-scale mining communities in Northern Ghana. Int J Environ Res Public Health 12:10620–10634. https://doi.org/10.3390/ijerph120910620
Dabke K, Hendrick G, Devkota S (2019) The gut microbiome and metabolic syndrome. J Clin Investig 129:4050–4057. https://doi.org/10.1172/JCI129194
de Matuoka e chiocchetti G, Monedero V, Zúñiga M, Vélez D, Devesa V (2020) In vitro evaluation of the protective role of lactobacillus strainsagainst inorganic arsenic toxicity. Probiot Antimicrob Proteins 12:1484–1491. https://doi.org/10.1007/s12602-020-09639-6
Deprince A, Haas JT, Staels B (2020) Dysregulated lipid metabolism links NAFLD to cardiovascular disease. Mol Metab 42:101092. https://doi.org/10.1016/j.molmet.2020.101092
Diaz D, Fonseca V, Aude YW, Lamas GA (2018) Chelation therapy to prevent diabetes-associated cardiovascular events. Curr Opin Endocrinol Diabetes Obes 25:258–266. https://doi.org/10.1097/MED.0000000000000419
Donadt C, Cooke CA, Graydon JA, Poesch MS (2021) Mercury bioaccumulation in stream fish from an agriculturally-dominated watershed. Chemosphere 262:128059. https://doi.org/10.1016/j.chemosphere.2020.128059
Duan H, Yu L, Tian F, Zhai Q, Fan L, Chen W (2020) Gut microbiota: A target for heavy metal toxicity and a probiotic protective strategy. Sci Total Environ 742:140429. https://doi.org/10.1016/j.scitotenv.2020.140429
El Muayed M, Raja MR, Zhang X, MacRenaris KW, Bhatt S, Chen X, Urbanek M, O’Halloran TV, Lowe JWL (2012) Accumulation of cadmium in insulin-producing β cells. Islets 4:405–416. https://doi.org/10.4161/isl.23101
Elmorsy E, Al-Ghafari A, Al Doghaither H, Ghulam J (2021) Effects of environmental metals on mitochondrial bioenergetics of the CD-1 mice pancreatic beta-cells. Toxicol in Vitro 70:105015. https://doi.org/10.1016/j.tiv.2020.105015
Engwa GA, Ferdinand PU, Nwalo FN, Unachukwu MN (2019) Mechanism and health effects of heavy metal toxicity in humans. Poisoning in the modern world-new tricks for an old dog?: IntechOpen. https://www.researchgate.net/publication/333931073
Feingold KR, Grunfeld C (2018) Introduction to lipids and lipoproteins. In: Feingold KR, Anawalt B, Boyce A (eds), Endotext [Internet]. MDText.com,: Inc., South Dartmouth. https://www.ncbi.nlm.nih.gov/books/NBK305896
Feng W, Cui X, Liu B, Liu C, Xiao Y, Lu W, Guo H, He M, Zhang X, Yuan J, Chen W, Wu T (2015) Association of urinary metal profiles with altered glucose levels and diabetes risk: a population-based study in China. PLoS ONE 10:e0123742. https://doi.org/10.1371/journal.pone.0123742
Ferain A, Bonnineau C, Neefs I, Das K, Larondelle Y, Rees JF, Debier C, Lemaire B (2018) Transcriptional effects of phospholipid fatty acid profile on rainbow trout liver cells exposed to methylmercury. Aquat Toxicol 199:174–187. https://doi.org/10.1016/j.aquatox.2018.03.025
Ferrante M, Napoli S, Grasso A, Zuccarello P, Cristaldi A, Copat C (2019) Systematic review of arsenic in fresh seafood from the Mediterranean Sea and European Atlantic coasts: a health risk assessment. Food Chem Toxicol 126:322–331. https://doi.org/10.1016/j.fct.2019.01.010
Ferrer B, Peres TV, dos Santos AA, Bornhorst J, Morcillo P, Gonçalves CL, Aschner M (2018) Methylmercury affects the expression of hypothalamic neuropeptides that control body weight in C57BL/6J Mice. Toxicol Sci 163:557–568. https://doi.org/10.1093/toxsci/kfy052
Ficková M, Eybl V, Kotyzová D, Mičková V, Möstbök S, Brtko J (2003) Long lasting cadmium intake is associated with reduction of insulin receptors in rat adipocytes. Biometals 16:561–566. https://doi.org/10.1023/A:1023485130767
Frank AP, de Souza SR, Palmer BF, Clegg DJ (2019) Determinants of body fat distribution in humans may provide insight about obesity-related health risks. J Lipid Res 60:1710–1719. https://doi.org/10.1194/jlr.R086975
Gai Z, Wang T, Visentin M, Kullak-Ublick AG, Fu X, Wang Z (2019) Lipid Accumulation and chronic kidney disease. Nutrients 11:722. https://doi.org/10.3390/nu11040722
Gao B, Chi L, Mahbub R, Bian X, Tu P, Ru H, Lu K (2017) Multi-omics reveals that lead exposure disturbs gut microbiome development, key metabolites, and metabolic pathways. Chem Res Toxicol 30:996–1005. https://doi.org/10.1021/acs.chemrestox.6b00401
Gaschler MM, Stockwell BR (2017) Lipid peroxidation in cell death. Biochem Biophys Res Commun 482:419–425. https://doi.org/10.1016/j.bbrc.2016.10.086
Gerbino E, Carasi P, Tymczyszyn EE, Gómez-Zavaglia A (2014) Removal of cadmium by Lactobacillus kefir as a protective tool against toxicity. J Dairy Res 81:280–287. https://doi.org/10.1017/S0022029914000314
Giles ED, Steig AJ, Jackman MR, Higgins JA, Johnson GC, Lindstrom RC, MacLean PS (2016) Exercise decreases lipogenic gene expression in adipose tissue and alters adipocyte cellularity during weight regain after weight loss. Front Physiol. https://doi.org/10.3389/fphys.2016.00032
Go Y-M, Sutliff RL, Chandler JD, Khalidur R, Kang BY, Anania FA, Orr M, Hao L, Fowler BA, Jones DP (2015) Low-dose cadmium causes metabolic and genetic dysregulation associated with fatty liver disease in mice. Toxicol Sci 147:524–534. https://doi.org/10.1093/toxsci/kfv149
Gursky O (2015) Structural stability and functional remodeling of high-density lipoproteins. FEBS Lett 589:2627–2639. https://doi.org/10.1016/j.febslet.2015.02.028
He K, Xun P, Liu K, Morris S, Reis J, Guallar E (2013) Mercury exposure in young adulthood and incidence of diabetes later in life: the CARDIA Trace Element Study. Diabetes Care 36:1584–1589. https://doi.org/10.2337/dc12-1842
He W, Guo W, Qian Y, Zhang S, Ren D, Liu S (2015) Synergistic hepatotoxicity by cadmium and chlorpyrifos: disordered hepatic lipid homeostasis. Mol Med Rep 12:303. https://doi.org/10.3892/mmr.2015.3381
He X, Qi Z, Hou H, Qian L, Gao J, Zhang X-X (2020) Structural and functional alterations of gut microbiome in mice induced by chronic cadmium exposure. Chemosphere 246:125747. https://doi.org/10.1016/j.chemosphere.2019.125747
Heidarian E, Rafieian-Kopaei M (2013) Protective effect of artichoke (Cynara scolymus) leaf extract against lead toxicity in rat. Pharm Biol 51:1104–1109. https://doi.org/10.3109/13880209.2013.777931
Hong H, Xu Y, Xu J, Zhang J, Xi Y, Pi H, Yang L, Yu Z, Wu Q, Meng Z, Ruan WS, Ren Y, Xu S, Lu YQ, Zhou Z (2021) Cadmium exposure impairs pancreatic β-cell function and exaggerates diabetes by disrupting lipid metabolism. Environ Int 149:106406. https://doi.org/10.1016/j.envint.2021.106406
Hosen SMI, Das D, Kobi R, Chowdhury DUS, Alam MJ, Rudra B, Bakar MA, Islam S, Rahman Z, Al-Forkan M (2016) Study of arsenic accumulation in rice and evaluation of protective effects of Chorchorus olitorius leaves against arsenic contaminated rice induced toxicities in Wistar albino rats. BMC Pharmacol Toxicol 17:46. https://doi.org/10.1186/s40360-016-0091-8
Howard SG (2018) Developmental exposure to endocrine disrupting chemicals and type 1 diabetes mellitus. Front Endocrinol 9:513. https://doi.org/10.3389/fendo.2018.00513
Ibrahim F, Halttunen T, Tahvonen R, Salminen S (2006) Probiotic bacteria as potential detoxification tools: assessing their heavy metal binding isotherms. Can J Microbiol 52:877–885. https://doi.org/10.1139/w06-043
Ibrahimpasic K (2013) Alpha lipoic acid and glycaemic control in diabetic neuropathies at type 2 diabetes treatment. Med Arch 67:7. https://doi.org/10.5455/medarh.2013.67.7-9
Islam R, Khan I, Hassan SN, McEvoy M, D’Este C, Attia J, Peel R, Sultana M, Akter S, Milton AH (2012) Association between type 2 diabetes and chronic arsenic exposure in drinking water: a cross sectional study in Bangladesh. Environ Health Global Access Sci Source 11:38. https://doi.org/10.1186/1476-069X-11-38
Jolibois LS, Burow ME, Swan KF, George WJ, Anderson MB, Henson MC (1999) Effects of cadmium on cell viability, trophoblastic development, and expression of low density lipoprotein receptor transcripts in cultured human placental cells. Reprod Toxicol 13:473–480. https://doi.org/10.1016/S0890-6238(99)00041-6
Jump DB, Botolin D, Wang Y, Xu J, Christian B (2006) Fatty acids and gene transcription. Scand J Food Nutr 50:5–12. https://doi.org/10.1080/17482970601069318
Jung E, Hyun W, Ro Y, Lee H, Song K (2016) A study on blood lipid profiles, aluminum and mercury levels in college students. Nurs Res Pract 10:442–447. https://doi.org/10.4162/nrp.2016.10.4.442
Kang P, Shin HY, Kim KY (2021) Association between dyslipidemia and mercury exposure in adults. Int J Environ Res Public Health 18:775. https://doi.org/10.3390/ijerph18020775
Kasperczyk S, Birkner E, Kasperczyk A, Kasperczyk J (2005) Lipids, lipid peroxidation and 7-ketocholesterol in workers exposed to lead. Hum Exp Toxicol 24:287–295. https://doi.org/10.1191/0960327105ht528oa
Kawakami T, Hanao N, Nishiyama K, Kadota Y, Inoue M, Sato M, Suzuki S (2012) Differential effects of cobalt and mercury on lipid metabolism in the white adipose tissue of high-fat diet-induced obesity mice. Toxicol Appl Pharmacol 258:32–42. https://doi.org/10.1016/j.taap.2011.10.004
Khan AR, Awan FR (2014) Metals in the pathogenesis of type 2 diabetes. J Diabetes Metab Disord 13:16. https://doi.org/10.1186/2251-6581-13-16
Kim KN, Park SJ, Choi B, Joo NS (2015) Blood mercury and insulin resistance in nondiabetic Koreans (KNHANES 2008–2010). Yonsei Med J 56:944–950. https://doi.org/10.3349/ymj.2015.56.4.944
Kim K (2012) Blood cadmium concentration and lipid profile in Korean adults. Environ Res 112:225–229. https://doi.org/10.1016/j.envres.2011.12.008
Kirkley AG, Carmean CM, Ruiz D, Ye H, Regnier SM, Poudel A, Hara M, Kamau W, Johnson DN, Roberts AA, Parsons PJ, Seino S, Sargis RM (2017) Arsenic exposure induces glucose intolerance and alters global energy metabolism. Am J Physiol Regul Integr Compar Physiol 314:R294–R303. https://doi.org/10.1152/ajpregu.00522.2016
Klok MD, Jakobsdottir S, Drent ML (2007) The role of leptin and ghrelin in the regulation of food intake and body weight in humans: a review. Obes Rev 8:21–34. https://doi.org/10.1111/j.1467-789X.2006.00270.x
Kubier A, Wilkin RT, Pichler T (2019) Cadmium in soils and groundwater: a review. Appl Geochem 108:104388. https://doi.org/10.1016/j.apgeochem.2019.104388
Kumar A, Ali M, Kumar R, Rahman MS, Srivastava A, Chayal NK, Sagar V, Kumari R, Parween S, Kumar R, Niraj PK, Anand G, Singh SK, Ghosh AK (2020) High arsenic concentration in blood samples of people of village gyaspur Mahaji, Patna, Bihar drinking arsenic-contaminated water. Exposure Health 12:131–140. https://doi.org/10.1007/s12403-018-00294-5
Kumari S, Jain MK, Elumalai SP (2021) Assessment of pollution and health risks of heavy metals in particulate matter and road dust along the road network of Dhanbad, India. J Health Pollut 11:210305. https://doi.org/10.5696/2156-9614-11.29.210305
Kuo CC, Su PH, Sun CW, Liu HJ, Chang CL, Wang SL (2018) Early-life arsenic exposure promotes atherogenic lipid metabolism in adolescence: a 15-year birth cohort follow-up study in central Taiwan. Environ Int 118:97–105. https://doi.org/10.1016/j.envint.2018.05.033
Lacerda Leocádio PC, Dias RP, Pinto DV, Reis JM, Rodrigues Nascimento JC, de Castro A, Brito G, Valença JT, Foureaux G, Ferreira AJ, Windmöller CC, Crespo-Lopez ME, Santos FA, Oriá RB, Alvarez-Leite JI (2020) Pollutants and nutrition: are methylmercury effects on blood pressure and lipoprotein profile comparable to high-fat diet in mice? Ecotoxicol Environ Saf 204:111036. https://doi.org/10.1016/j.ecoenv.2020.111036
Lamas GA, Navas-Acien A, Mark DB, Lee KL (2016) Heavy metals, cardiovascular disease, and the unexpected benefits of chelation therapy. J Am Coll Cardiol 67:2411–2418. https://doi.org/10.1016/j.jacc.2016.02.066
Lauretta R, Sansone A, Sansone M, Romanelli F, Appetecchia M (2019) Endocrine disrupting chemicals: effects on endocrine glands. Front Endocrinol 10:178. https://doi.org/10.3389/fendo.2019.00178
Ledda C, Iavicoli I, Bracci M, Avola R, Senia P, Santarelli L, Pomara C, Rapisarda V (2018) Serum lipid, lipoprotein and apolipoprotein profiles in workers exposed to low arsenic levels: lipid profiles and occupational arsenic exposure. Toxicol Lett 282:49–56. https://doi.org/10.1016/j.toxlet.2017.10.014
Lee S, Cho S-R, Jeong I, Park JB, Shin M-Y, Kim S, Kim JH (2020) Mercury exposure and associations with hyperlipidemia and elevated liver enzymes: a nationwide cross-sectional survey. Toxics 8:47. https://doi.org/10.3390/toxics8030047
Leff T, Stemmer P, Tyrrell J, Jog R (2018) Diabetes and exposure to environmental lead (Pb). Toxics 6:54. https://doi.org/10.3390/toxics6030054
Li X, Brejnrod AD, Ernst M, Rykær M, Herschend J, Olsen NMC, Dorrestein PC, Rensing C, Sørensen SJ (2019) Heavy metal exposure causes changes in the metabolic health-associated gut microbiome and metabolites. Environ Int 126:454–467. https://doi.org/10.1016/j.envint.2019.02.048
Li X, Hu Y, Lv Y, Gao Y, Yuwen L, Yang W, Weng L, Teng Z, Wang L (2020) Gut microbiota and lipid metabolism alterations in mice induced by oral cadmium telluride quantum dots. J Appl Toxicol 40:1131–1140. https://doi.org/10.1002/jat.3972
Li Z, Xu Y, Huang Z, Wei Y, Hou J, Long T, Wang F, Cheng X, Duan Y, Chen X, Yuan H, Shen M, He M (2021) Association of multiple metals with lipid markers against different exposure profiles: a population-based cross-sectional study in China. Chemosphere 264:128505. https://doi.org/10.1016/j.chemosphere.2020.128505
Lin HC, Huang YK, Shiue HS, Chen LS, Choy CS, Huang SR, Han BC, Hsueh YM (2014) Arsenic methylation capacity and obesity are associated with insulin resistance in obese children and adolescents. Food Chem Toxicol 74:60–67. https://doi.org/10.1016/j.fct.2014.08.018
Lin CH, Hsu YT, Yen CC, Chen HH, Tseng CJ, Lo YK, Chan JYH (2018) Association between heavy metal levels and acute ischemic stroke. J Biomed Sci 25:49. https://doi.org/10.1186/s12929-018-0446-0
Lin X, Zhao J, Zhang W, He L, Wang L, Chang D, Cui L, Gao Y, Li B, Chen C, Li YF (2020) Acute oral methylmercury exposure perturbs the gut microbiome and alters gut-brain axis related metabolites in rats. Ecotoxicol Environ Saf 190:110130. https://doi.org/10.1016/j.ecoenv.2019.110130
Liu S, Guo XC, Wu B, Yu HY, Zhang XX, Li M (2014) Arsenic induces diabetic effects through beta-cell dysfunction and increased gluconeogenesis in mice. Sci Rep 4:5339. https://doi.org/10.1038/srep06894
Liu H, Wang Y, Ren Z, Ji X, Peprah FA, Zhang X, Dai S, Zhou Y, Gu J, Shi H (2020) Dietary cadmium exposure causes elevation of blood ApoE with triglyceride level in mice. Biometals 33:241–254. https://doi.org/10.1007/s10534-020-00247-z
Lu K, Abo RP, Schlieper KA, Graffam ME, Levine S, Wishnok JS, Swenberg JA, Tannenbaum SR, Fox JG (2014) Arsenic exposure perturbs the gut microbiome and its metabolic profile in mice: an integrated metagenomics and metabolomics analysis. Environ Health Perspect 122:284–291. https://doi.org/10.1289/ehp.1307429
Mahapatra A, Gupta P, Suman A, Singh RK (2021) Environmental Obesogens and Human Health [Online First], IntechOpen, DOI: https://doi.org/10.5772/intechopen.96730; https://www.intechopen.com/online-first/75707.
Majlesi M, Shekarforoush SS, Ghaisari HR, Nazifi S, Sajedianfard J, Eskandari MH (2017) Effect of probiotic bacillus coagulans and lactobacillus plantarum on alleviation of mercury toxicity in rat. Probiot Antimicrob Proteins 9:300–309. https://doi.org/10.1007/s12602-016-9250-x
Małodobra-Mazur M, Cierzniak A, Pawełka D, Kaliszewski K, Rudnicki J, Dobosz T (2020) Metabolic differences between subcutaneous and visceral adipocytes differentiated with an excess of saturated and monounsaturated fatty acids. Genes 11:1092. https://doi.org/10.3390/genes11091092
Maradonna F, Carnevali O (2018) Lipid metabolism alteration by endocrine disruptors in animal models: an overview. Front Endocrinol 9:654. https://doi.org/10.3389/fendo.2018.00654
Mendez Michelle A, González-Horta C, Sánchez-Ramírez B, Ballinas-Casarrubias L, Cerón Roberto H, Morales Damián V, Terrazas Francisco AB, Ishida María C, Gutiérrez-Torres Daniela S, Saunders RJ, Drobná Z, Fry Rebecca C, Buse John B, Loomis D, García-Vargas Gonzalo G, Del Razo LM, Stýblo M (2016) Chronic exposure to arsenic and markers of cardiometabolic risk: a cross-sectional study in Chihuahua, Mexico. Environ Health Perspect 124:104–111. https://doi.org/10.1289/ehp.1408742
Meyer DN, Crofts EJ, Akemann C, Gurdziel K, Farr R, Baker BB, Weber D, Baker TR (2020) Developmental exposure to Pb2+ induces transgenerational changes to zebrafish brain transcriptome. Chemosphere 244:125527. https://doi.org/10.1016/j.chemosphere.2019.125527
Moiseenko TI, Gashkina NA (2020) Distribution and bioaccumulation of heavy metals (Hg, Cd and Pb) in fish: influence of the aquatic environment and climate. Environ Res Lett 15:115013. https://doi.org/10.1088/1748-9326/abbf7c
Moreira EL, de Oliveira J, Dutra MF, Santos DB, Gonçalves CA, Goldfeder EM, de Bem AF, Prediger RD, Aschner M, Farina M (2012) Does methylmercury-induced hypercholesterolemia play a causal role in its neurotoxicity and cardiovascular disease? Toxicol Sci 130:373–382. https://doi.org/10.1093/toxsci/kfs252
Mu W, Cheng X-F, Liu Y, Lv Q-Z, Liu G-L, Zhang J-G, Li X-Y (2019) Potential nexus of non-alcoholic fatty liver disease and type 2 diabetes mellitus: insulin resistance between hepatic and peripheral tissues. Front Pharmacol 9:1566. https://doi.org/10.3389/fphar.2018.01566
Muthumani M, Prabu SM (2014) Silibinin potentially attenuates arsenic-induced oxidative stress mediated cardiotoxicity and dyslipidemia in rats. Cardiovasc Toxicol 14:83–97. https://doi.org/10.1007/s12012-013-9227-x
Nadal A, Quesada I, Tudurí E, Nogueiras R, Alonso-Magdalena P (2017) Endocrine-disrupting chemicals and the regulation of energy balance. Nat Rev Endocrinol 13:536. https://doi.org/10.1038/nrendo.2017.51
Nagao M, Nakajima H, Toh R, Hirata K-I, Ishida T (2018) Cardioprotective effects of high-density lipoprotein beyond its anti-atherogenic action. J Atheroscler Thromb 25:985–993. https://doi.org/10.5551/jat.RV17025
Newairy AA, El-Sharaky AS, Badreldeen MM, Eweda SM, Sheweita SA (2007) The hepatoprotective effects of selenium against cadmium toxicity in rats. Toxicology 242:23–30. https://doi.org/10.1016/j.tox.2007.09.001
Nickels JT Jr (2018) New links between lipid accumulation and cancer progression. J Biol Chem 293:6635–6636. https://doi.org/10.1074/jbc.H118.002654
Nie X, Wang N, Chen Y, Chen C, Han B, Zhu C, Chen Y, Xia F, Cang Z, Lu M, Meng Y, Jiang B, D. Jensen M, Lu Y, (2016) Blood cadmium in Chinese adults and its relationships with diabetes and obesity. Environ Sci Pollut Res 23:18714–18723. https://doi.org/10.1007/s11356-016-7078-2
Obi-Ezeani C, Dioka C, Meludu S, Onuora I, Usman S, Onyema-Iloh O (2019) Blood pressure and lipid profile in automechanics in relation to lead exposure. Indian J Occup Environ Med 23:28–31. https://doi.org/10.4103/ijoem.IJOEM_122_18
Okediran B, Adah A, Sanusi F, Suleiman K (2018) Lipid changes in male Albino rats exposed to graded doses of Lead. Ceylon J Sci 47:159–163. https://doi.org/10.4038/cjs.v47i2.7512
Oladipo OO, Ayo JO, Ambali SF, Mohammed B, Aluwong T (2017) Dyslipdemia induced by chronic low dose co-exposure to lead, cadmium and manganese in rats: the role of oxidative stress. Environ Toxicol Pharmacol 53:199–205. https://doi.org/10.1016/j.etap.2017.06.017
Oliphant K, Allen-Vercoe E (2019) Macronutrient metabolism by the human gut microbiome: major fermentation by-products and their impact on host health. Microbiome 7:91. https://doi.org/10.1186/s40168-019-0704-8
Olisekodiaka MJ, Igbeneghu CA, Onuegbu AJ, Oduru R, Lawal AO (2012) Lipid, lipoproteins, total antioxidant status and organ changes in rats administered high doses of cadmium chloride. Med Princ Pract 21:156–159. https://doi.org/10.1159/000333385
Olszowski T, Gutowska I, Baranowska-Bosiacka I, Łukomska A, Drozd A, Chlubek D (2018) Cadmium alters the concentration of fatty acids in THP-1 macrophages. Biol Trace Elem Res 182:29–36. https://doi.org/10.1007/s12011-017-1071-6
Oluranti OI, Agboola EA, Fubara NE, Ajayi MO, Michael OS (2021) Cadmium exposure induces cardiac glucometabolic dysregulation and lipid accumulation independent of pyruvate dehydrogenase activity. Ann Med 53:1109–1118. https://doi.org/10.1080/07853890.2021.1947519
Ory DS (2007) Chylomicrons and lipoprotein lipase at the endothelial surface: bound and GAG-ged? Cell Metab 5:229–231. https://doi.org/10.1016/j.cmet.2007.03.003
Padilla MA, Elobeid M, Ruden DM, Allison DB (2010) An examination of the association of selected toxic metals with total and central obesity indices: NHANES 99–02. Int J Environ Res Public Health 7:3332–3347. https://doi.org/10.3390/ijerph7093332
Padmaja Divya S, Pratheeshkumar P, Son Y-O, Vinod Roy R, Andrew Hitron J, Kim D, Dai J, Wang L, Asha P, Huang B, Xu M, Luo J, Zhang Z (2015) Arsenic induces insulin resistance in mouse adipocytes and myotubes via oxidative stress-regulated mitochondrial Sirt3-FOXO3a signaling pathway. Toxicol Sci 146:290–300. https://doi.org/10.1093/toxsci/kfv089
Park K, Seo E (2017) Toenail mercury and dyslipidemia: Interaction with selenium. J Trace Elem Med Biol 39:43–49. https://doi.org/10.1016/j.jtemb.2016.07.005
Park SK, Peng Q, Bielak LF, Silver KD, Peyser PA, Mitchell BD (2016) Arsenic exposure is associated with diminished insulin sensitivity in non-diabetic Amish adults. Diabetes Metab Res Rev 32:565–571. https://doi.org/10.1002/dmrr.2769
Park JS, Ha KH, He K, Kim DJ (2017a) Association between blood mercury level and visceral adiposity in adults. Diabetes Metab J 41:113–120. https://doi.org/10.4093/dmj.2017.41.2.113
Park SS, Skaar DA, Jirtle RL, Hoyo C (2017b) Epigenetics, obesity and early-life cadmium or lead exposure. Epigenomics 9:57–75. https://doi.org/10.2217/epi-2016-0047
Parks J, Pieper KJ, Katner A, Tang M, Edwards M (2018) Potential challenges meeting the american academy of pediatrics’ lead in school drinking water goal of 1 μg/L. Corrosion 74:914–917. https://doi.org/10.5006/2770
Penta K (2016) The Effect of Arsenic on Type 2 Diabetes and Inflammation. (Doctoral dissertation). Retrieved from https://scholarcommons.sc.edu/etd/3979
Pizzino G, Irrera N, Bitto A, Pallio G, Mannino F, Arcoraci V, Aliquò F, Minutoli L, De Ponte C, D’Andrea P, Squadrito F, Altavilla D (2017) Cadmium-induced oxidative stress impairs glycemic control in adolescents. Oxid Med Cell Longev 2017:6341671. https://doi.org/10.1155/2017/6341671
Poetsch MS, Strano A, Guan K (2020) Role of leptin in cardiovascular diseases. Front Endocrinol 11:354. https://doi.org/10.3389/fendo.2020.00354
Poursafa P, Ataee E, Motlagh ME, Ardalan G, Tajadini MH, Yazdi M, Kelishadi R (2014) Association of serum lead and mercury level with cardiometabolic risk factors and liver enzymes in a nationally representative sample of adolescents: the CASPIAN-III study. Environ Sci Pollut Res 21:13496–13502. https://doi.org/10.1007/s11356-014-3238-4
Rana SVS (2014) Perspectives in endocrine toxicity of heavy metals—a review. Biol Trace Elem Res 160:1–14. https://doi.org/10.1007/s12011-014-0023-7
Rana M, Balcioglu M, Robertson NM, Hizir MS, Yumak S, Yigit MV (2017) Low picomolar, instrument-free visual detection of mercury and silver ions using low-cost programmable nanoprobes. Chem Sci 8:1200–1208. https://doi.org/10.1039/C6SC03444F
Rangholia N, Leisner TM, Holly SP (2021) Bioactive ether lipids: primordial modulators of cellular signaling. Metabolites 11:41. https://doi.org/10.3390/metabo11010041
Richardson JB, Dancy BCR, Horton CL, Lee YS, Madejczyk MS, Xu ZZ, Ackermann G, Humphrey G, Palacios G, Knight R, Lewis JA (2018) Exposure to toxic metals triggers unique responses from the rat gut microbiota. Sci Rep 8:6578. https://doi.org/10.1038/s41598-018-24931-w
Rivas-Santiago C, González-Curiel I, Zarazua S, Murgu M, Ruiz Cardona A, Lazalde B, Lara-Ramírez EE, Vázquez E, Castañeda-Delgado JE, Rivas-Santiago B, Lopez JA, Cervantes-Villagrana AR, López-Hernández Y (2019) Lipid metabolism alterations in a rat model of chronic and intergenerational exposure to arsenic. Biomed Res Int 2019:4978018. https://doi.org/10.1155/2019/4978018
Rizzetti DA, Corrales P, Piagette JT, Uranga-Ocio JA, Medina-Gomez G, Peçanha FM, Vassallo DV, Miguel M, Wiggers GA (2019) Chronic mercury at low doses impairs white adipose tissue plasticity. Toxicology 418:41–50. https://doi.org/10.1016/j.tox.2019.02.013
Rosales-Cruz P, Domínguez-Pérez M, Reyes-Zárate E, Bello-Monroy O, Enríquez-Cortina C, Miranda-Labra R, Bucio L, Gómez-Quiroz LE, Rojas-Del Castillo E, Gutiérrez-Ruíz MC, Souza-Arroyo V (2018) Cadmium exposure exacerbates hyperlipidemia in cholesterol-overloaded hepatocytes via autophagy dysregulation. Toxicology 398–399:41–51. https://doi.org/10.1016/j.tox.2018.02.007
Rotter I, Kosik-Bogacka D, Dołęgowska B, Safranow K, Lubkowska A, Laszczyńska M (2015) Relationship between the concentrations of heavy metals and bioelements in aging men with metabolic syndrome. Int J Environ Res Public Health 12:3944–3961. https://doi.org/10.3390/ijerph120403944
Roy NK, Murphy A, Costa M (2020) Arsenic methyltransferase and methylation of inorganic Arsenic. Biomolecules 10:1351. https://doi.org/10.3390/biom10091351
Sabir S, Akash MSH, Fiayyaz F, Saleem U, Mehmood MH, Rehman K (2019) Role of cadmium and arsenic as endocrine disruptors in the metabolism of carbohydrates: inserting the association into perspectives. Biomed Pharmacother 114:108802. https://doi.org/10.1016/j.biopha.2019.108802
Samarghandian S, Azimi-Nezhad M, Shabestari MM, Azad FJ, Farkhondeh T, Bafandeh F (2015) Effect of chronic exposure to cadmium on serum lipid, lipoprotein and oxidative stress indices in male rats. Interdiscip Toxicol 8:151–154. https://doi.org/10.1515/intox-2015-0023
Sanders FWB, Griffin JL (2016) De novo lipogenesis in the liver in health and disease: more than just a shunting yard for glucose. Biol Rev Camb Philos Soc 91:452–468. https://doi.org/10.1111/brv.12178
Sarker MK, Tony SR, Siddique AE, Haque N, Islam MS, Hossain F, Islam Z, Hossain S, Hoque MA, Saud ZA, Sumi D, Himeno S, Hossain K (2021) Gender differences in the risk of metabolic syndrome among chronic arsenic-exposed individuals in bangladesh. Exposure Health. https://doi.org/10.1007/s12403-021-00437-1
Schaefer HR, Dennis S, Fitzpatrick S (2020) Cadmium: mitigation strategies to reduce dietary exposure. J Food Sci 85:260–267. https://doi.org/10.1111/1750-3841.14997
Sears B, Perry M (2015) The role of fatty acids in insulin resistance. Lipids Health Dis 14:121. https://doi.org/10.1186/s12944-015-0123-1
Shaji E, Santosh M, Sarath KV, Prakash P, Deepchand V, Divya BV (2021) Arsenic contamination of groundwater: a global synopsis with focus on the Indian Peninsula. Geosci Front 12:101079. https://doi.org/10.1016/j.gsf.2020.08.015
Shin Y-Y, Ryu I-K, Park M-J, Kim S-H (2018) The association of total blood mercury levels and overweight among Korean adolescents: analysis of the Korean National Health and Nutrition Examination Survey (KNHANES) 2010–2013. Korean J Pediatr 61:121–128. https://doi.org/10.3345/kjp.2018.61.4.121
Shyam V, Pradeep K, Virendra A, Anoop V, Murthy R (2012) Lipid profiles with increase blood lead level: risk of cardiovascular disease in battery workers of Lucknow City. J Indian Acad Forensic 34:0971–0973
Skoczyńska A, Smolik R, Jeleń M (1993) Lipid abnormalities in rats given small doses of lead. Arch Toxicol 67:200–204. https://doi.org/10.1007/BF01973308
Sohn SH, Heo HC, Jo S, Park C, Sakong J (2020) The association between mercury concentrations and lipid profiles in the Korean National Environmental Health Survey (KoNEHS) cycle 3. Ann Occup Environ Med 32:e19. https://doi.org/10.35371/aoem.2020.32.e19
Song Z, Xiaoli AM, Yang F (2018) Regulation and metabolic significance of de novo lipogenesis in adipose tissues. Nutrients 10:1383. https://doi.org/10.3390/nu10101383
Stahr S, Chiang T-c, Bauer MA, Runnells GA, Rogers LJ, Do HV, Kadlubar SA, Su LJ (2021) Low-level environmental heavy metals are associated with obesity among postmenopausal women in a southern state. Exposure Health 13:269–280. https://doi.org/10.1007/s12403-020-00381-6
Stasenko S, Bradford EM, Piasek M, Henson MC, Varnai VM, Jurasović J, Kušec V (2010) Metals in human placenta: focus on the effects of cadmium on steroid hormones and leptin. J Appl Toxicol 30:242–253. https://doi.org/10.1002/jat.1490
Stefan CJ, Trimble WS, Grinstein S, Drin G, Reinisch K, De Camilli P, Cohen S, Valm AM, Lippincott-Schwartz J, Levine TP, Iaea DB, Maxfield FR, Futter CE, Eden ER, Judith D, van Vliet AR, Agostinis P, Tooze SA, Sugiura A, McBride HM (2017) Membrane dynamics and organelle biogenesis-lipid pipelines and vesicular carriers. BMC Biol 15:102. https://doi.org/10.1186/s12915-017-0432-0
Steinmaus C, Castriota F, Ferreccio C, Smith AH, Yuan Y, Liaw J, Acevedo J, Pérez L, Meza R, Calcagno S, Uauy R, Smith MT (2015) Obesity and excess weight in early adulthood and high risks of arsenic-related cancer in later life. Environ Res 142:594–601. https://doi.org/10.1016/j.envres.2015.07.021
Sui X, Pu H, Maity A, Chang J, Jin B, Lu G, Wang Y, Ren R, Mao S, Chen J (2020) Field-effect transistor based on percolation network of reduced graphene oxide for real-time ppb-level detection of lead ions in water. ECS J Solid State Sci Technol 9:115012. https://doi.org/10.1149/2162-8777/abaaf4
Sun H, Wang N, Nie X, Zhao L, Li Q, Cang Z, Chen C, Lu M, Cheng J, Zhai H, Xia F, Ye L, Lu Y (2017) Lead exposure induces weight gain in adult rats, accompanied by DNA hypermethylation. PLoS ONE 12:e0169958. https://doi.org/10.1371/journal.pone.0169958
Szkudelska K, Okulicz M, Szkudelski T (2021) Bisphenol A disturbs metabolism of primary rat adipocytes without affecting adipokine secretion. Environ Sci Pollut Res 28:23301–23309. https://doi.org/10.1007/s11356-021-12411-0
Tangvarasittichai S, Niyomtam S, Pingmuangkaew P, Nunthawarasilp P (2015) Dyslipidemia in the elevated cadmium exposure population. Blood 51:04–0043
Tanvir EM, Mahmood S, Islam MN, Khatun M, Afroz R, Islam SS, Afrin S, Khalil MI, Chowdhury MAZ, Ng JC, Whitfield KM, Shaw PN (2021) Environmental exposure to metals and metalloids in primary school-aged children living in industrialised areas of eastern south Asian Megacity Dhaka, Bangladesh. Exposure Health. https://doi.org/10.1007/s12403-021-00443-3
Tao M, Wang H-P, Sun J, Tian J (2020) Progress of research on dyslipidemia accompanied by nephrotic syndrome. Chronic Dis Transl Med 6:182–187. https://doi.org/10.1016/j.cdtm.2020.03.002
Tchounwou PB, Yedjou CG, Patlolla AK, Sutton DJ (2012) Heavy metal toxicity and the environment. Exp Suppl 101:133–164. https://doi.org/10.1007/978-3-7643-8340-4_6
Tinant G, Neefs I, Das K, Rees J-F, Larondelle Y, Debier C (2021) Methylmercury displays pro-adipogenic properties in rainbow trout preadipocytes. Chemosphere 263:127917. https://doi.org/10.1016/j.chemosphere.2020.127917
Tinkov AA, Nguyen TT, Santamaria A, Bowman AB, Djordjevic AB, Paoliello M, Skalny AV, Aschner MJAoT, (2021) Sirtuins as molecular targets, mediators, and protective agents in metal-induced toxicity. Arch Toxicol 95:2263–2278. https://doi.org/10.1007/s00204-021-03048-6
Treviño S, Waalkes MP, Flores Hernández JA, León-Chavez BA, Aguilar-Alonso P, Brambila E (2015) Chronic cadmium exposure in rats produces pancreatic impairment and insulin resistance in multiple peripheral tissues. Arch Biochem Biophys 583:27–35. https://doi.org/10.1016/j.abb.2015.07.010
Uzunhisarcikli M, Aslanturk A, Kalender S, Apaydin FG, Bas H (2015) Mercuric chloride induced hepatotoxic and hematologic changes in rats: the protective effects of sodium selenite and vitamin E. Toxicol Ind Health 32:1651–1662. https://doi.org/10.1177/0748233715572561
Vieira HC, Ramirez MMB, Bordalo MD, Rodrigues ACM, Soares AMVM, Abreu SN, Morgado F, Rendón-von Osten J (2021) Total and organic mercury in fish from different geographical areas in the north atlantic ocean and health risk assessment. Exposure Health 13:361–373. https://doi.org/10.1007/s12403-021-00388-7
Vineeth Daniel P, Kamthan M, Gera R, Dogra S, Gautam K, Ghosh D, Mondal P (2019) Chronic exposure to Pb2+ perturbs ChREBP transactivation and coerces hepatic dyslipidemia. FEBS Lett 593:3084–3097. https://doi.org/10.1002/1873-3468.13538
Wadaan MA (2009) Effects of mercury exposure on blood chemistry and liver histopathology of male rats. J Pharmacol Toxicol 4:126–131. https://doi.org/10.3923/jpt.2009.126.131
Waghe P, Sarkar SN, Sarath TS, Kandasamy K, Choudhury S, Gupta P, Harikumar S, Mishra SK (2017) Subchronic arsenic exposure through drinking water alters lipid profile and electrolyte status in rats. Biol Trace Elem Res 176:350–354. https://doi.org/10.1007/s12011-016-0851-8
Wang B, Tontonoz P (2018) Liver X receptors in lipid signalling and membrane homeostasis. Nat Rev Endocrinol 14:452–463. https://doi.org/10.1038/s41574-018-0037-x
Wang TY, Liu M, Portincasa P, Wang DQH (2013) New insights into the molecular mechanism of intestinal fatty acid absorption. Eur J Clin Invest 43:1203–1223. https://doi.org/10.1111/eci.12161
Wang N, Chen C, Nie X, Han B, Li Q, Chen Y, Zhu C, Chen Y, Xia F, Cang Z, Lu M, Meng Y, Zhai H, Lin D, Cui S, Jensen MD, Lu Y (2015a) Blood lead level and its association with body mass index and obesity in China—results from SPECT-China study. Sci Rep 5:18299. https://doi.org/10.1038/srep18299
Wang XX, Mu XL, Zhang J, Huang QY, Alamdar AV, Tian MP, Liua LP, Shen HQ (2015b) Serum metabolomics reveals that arsenic exposure disrupted lipid and amino acid metabolism in rats: a step forward in understanding chronic arsenic toxicity. Metallomics 7:544–552. https://doi.org/10.1039/c5mt00002e
Wang Y, Ji X, Dai S, Liu H, Yan D, Zhou Y, Gu J, Shi H (2018) Cadmium induced redistribution of cholesterol by upregulating ABCA1 and downregulating OSBP. J Inorg Biochem 189:199–207. https://doi.org/10.1016/j.jinorgbio.2018.09.016
Wang PX, Deng XR, Zhang CH, Yuan HJ (2020) Gut microbiota and metabolic syndrome. Chin Med J (engl) 133:808–816. https://doi.org/10.1097/CM9.0000000000000696
Wauson EM, Langan AS, Vorce RL (2002) Sodium arsenite inhibits and reverses expression of adipogenic and fat cell-specific genes during in vitro adipogenesis. Toxicol Sci off J Soc Toxicol 65:211–219. https://doi.org/10.1093/toxsci/65.2.211
Wu J, Wen XW, Faulk C, Boehnke K, Zhang H, Dolinoy DC, Xi C (2016) Perinatal lead exposure alters gut microbiota composition and results in sex-specific bodyweight increases in adult mice. Toxicol Sci 151:324–333. https://doi.org/10.1093/toxsci/kfw046
Xia J, Jin C, Pan Z, Sun L, Fu Z, Jin Y (2018) Chronic exposure to low concentrations of lead induces metabolic disorder and dysbiosis of the gut microbiota in mice. Sci Total Environ 631–632:439–448. https://doi.org/10.1016/j.scitotenv.2018.03.053
Xu H, Mao Y, Xu B, Hu Y (2021) Low-level environmental lead and cadmium exposures and dyslipidemia in adults: findings from the NHANES 2005–2016. J Trace Elem Med Biol 63:126651. https://doi.org/10.1016/j.jtemb.2020.126651
Xue J, Lai Y, Chi L, Tu P, Leng J, Liu C-W, Ru H, Lu K (2019) Serum metabolomics reveals that gut microbiome perturbation mediates metabolic disruption induced by arsenic exposure in mice. J Proteome Res 18:1006–1018. https://doi.org/10.1021/acs.jproteome.8b00697
Ye BJ, Kim BG, Jeon MJ, Kim SY, Kim HC, Jang TW, Chae HJ, Choi WJ, Ha MN, Hong YS (2016) Evaluation of mercury exposure level, clinical diagnosis and treatment for mercury intoxication. Ann Occup Environ Med 28:5. https://doi.org/10.1186/s40557-015-0086-8
Yilmaz M, Claiborn KC, Hotamisligil GS (2016) De novo lipogenesis products and endogenous lipokines. Diabetes 65:1800. https://doi.org/10.2337/db16-0251
Zhai Q, Tian F, Zhao J, Zhang H, Narbad A, Chen W (2016) Oral Administration of probiotics inhibits absorption of the heavy metal cadmium by protecting the intestinal barrier. Appl Environ Microbiol 82:4429. https://doi.org/10.1128/AEM.00695-16
Zhang S, Jin Y, Zeng Z, Liu Z, Fu Z (2015) Subchronic exposure of mice to cadmium perturbs their hepatic energy metabolism and gut microbiome. Chem Res Toxicol 28:2000–2009. https://doi.org/10.1021/acs.chemrestox.5b00237
Zhang J, Wang Y, Fu L, Feng YJ, Ji YL, Wang H, Xu DX (2018) Subchronic cadmium exposure upregulates the mRNA level of genes associated to hepatic lipid metabolism in adult female CD1 mice. J Appl Toxicol JAT 38:1026–1035. https://doi.org/10.1002/jat.3612
Zhang T, Ruan J, Zhang B, Lu S, Gao C, Huang L, Bai X, Xie L, Gui M, Qiu R-l (2019) Heavy metals in human urine, foods and drinking water from an e-waste dismantling area: Identification of exposure sources and metal-induced health risk. Ecotoxicol Environ Saf 169:707–713. https://doi.org/10.1016/j.ecoenv.2018.10.039
Zhou Z, Lu Y, Pi H, Gao P, Li M, Zhang L, Pei L, Mei X, Liu L, Zhao Q, Qin QZ, Chen Y, Jiang Y, Zhang Z, Yu Z (2016) Cadmium exposure is associated with the prevalence of dyslipidemia. Cell Physiol Biochem 40:633–643. https://doi.org/10.1159/000452576
Zhyvotovska A, Yusupov D, McFarlane SI (2019) Introductory chapter: overview of lipoprotein metabolism. In: McFarlane SI (eds) Dyslipidemia. IntechOpen. https://doi.org/10.5772/intechopen.85094. Available from: https://www.intechopen.com/chapters/66265
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This project was funded by the National Natural Science Foundation of China (31301919) and Natural Science Foundation of the Higher Education Institutions of Jiangsu Province (13KJB18005).
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Zhou, Y., Addai, F.P., Zhang, X. et al. Heavy metal-induced lipogenic gene aberration, lipid dysregulation and obesogenic effect: a review. Environ Chem Lett 20, 1611–1643 (2022). https://doi.org/10.1007/s10311-021-01383-9
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DOI: https://doi.org/10.1007/s10311-021-01383-9