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Environ Anal Health Toxicol > Volume 40:2025 > Article
Jamsranjav, Gil, Kim, Choi, Park, Shin, and Bae: Quantitative neurotoxic effects of heavy metals and glutamate in mouse hippocampal neuronal cells

Abstract

Exposure to toxic heavy metals, such as lead, mercury, arsenic, and cadmium (Pb²⁺, Hg²⁺, As⁵⁺, As³⁺, and Cd²⁺), is a known contributor to neurological dysfunction. Although the individual neurotoxicity of these metals has been well established, their synergistic effects with endogenous neurotoxins such as glutamate remain insufficiently explored. In this study, we investigated neurotoxic effects of the combination of glutamate and heavy metals using the HT-22 hippocampal neuronal cell line. The cells were exposed to each heavy metal alone or in combination with glutamate at low [LCR; glutamate: heavy metal = 1:0.0025] and high [HCR; glutamate: heavy metal = 1:0.025] concentration ratios. Cell viability was measured by the MTT assay, and synergistic effects were quantitatively assessed by the Chou–Talalay method using CompuSyn software. The results showed that Pb²⁺ exhibited consistent synergistic effects with glutamate at both concentration ratios. In addition, Hg²⁺ and As⁵⁺ demonstrated synergistic effects with glutamate under high concentration conditions. These findings highlight that certain heavy metals can potentiate glutamate-induced neurotoxicity through synergistic mechanisms. This study provides quantitative evidence for the enhanced neurotoxic potential of environmental heavy metals when combined with endogenous excitotoxins such as glutamate.

Introduction

Heavy metals are widely used in industrial, agricultural, and technological applications, have become a significant threat to public health [1]. Even at low exposure levels, these metals can damage multiple organ systems [2]. Among commonly encountered heavy metals, arsenic, lead, mercury, and cadmium are classified among the top 10 most toxic substances according to the Substance Priority List of the Agency for Toxic Substances and Disease Registry [3]. These four metals are recognized as priority hazardous substances by the World Health Organization, owing to their high toxicity and persistence in the environment. They can enter the human body through inhalation, ingestion, and dermal absorption [4]. Once absorbed, heavy metals accumulate in various tissues and primarily affect the kidneys, lungs, liver, gastrointestinal tract, hematological system, and both the central and peripheral nervous system [5], and Among these, neurotoxicity has emerged as a major public health concern [4]. The excessive accumulation of heavy metals leads to the overproduction of reactive oxygen species (ROS), causing an imbalance in the redox state between pro-oxidants and antioxidants which is termed oxidative stress [6]. In addition, heavy metals exhibit a strong affinity for thiol groups present in enzymes and proteins essential for cellular defense, further impairing antioxidant capacity. Chronic exposure to these metals may ultimately lead to apoptotic cell death [7].
Importantly, exogenous neurotoxic heavy metals such as Pb2+ , Hg2+, As5+, As3+, and Cd2+, can penetrate the blood-brain barrier (BBB) and potentially interact with endogenous neurotoxic factors, such as glutamate, nitric oxide, and misfolded proteins, thereby exacerbating neurotoxicity [8].
Glutamate is the most abundant excitatory neurotransmitter in both the central and peripheral nervous systems and is also considered an endogenous neurotoxin. It plays an essential role in neuronal development, synaptic plasticity, and memory formation [5]. Glutamate exerts its effects through both synaptic and non-synaptic receptors. Among these, three families of ionotropic glutamate receptors (iGluRs) have been identified: N-methyl-D-aspartate (NMDA), α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA), and kainite receptors. These receptors are non-selective cation channels that mediate the influx of Na+, K+, and small amounts of Ca2+. Additionally, three groups of metabotropic glutamate receptors (mGluRs) act via G protein-coupled mechanisms to regulate glial and neuronal excitability [9]. However, excessive glutamate release from neurons and glial cells causes sustained neuronal depolarization, triggering a process known as excitotoxicity [10]. This pathological condition involves intracellular Ca2+ overload, overexpression of neuronal nitric oxide synthase (nNOS), mitochondrial dysfunction, increased ROS production, endoplasmic reticulum stress, and lysosomal enzyme activation [5].
Furthermore, glutamate accumulation disrupts the cystine/glutamate antiporter (Xc-), leading to reduced uptake of cystine (CySS), an essential precursor for glutathione (GSH) synthesis. This disruption results in GSH depletion, accumulation of free radicals, impaired Ca2+ homeostasis, and ultimately neuronal cell death [11]. Notably, Ca2+-independent oxidative glutamate toxicity through Xc- dysfunction can occur even in the absence of glutamate receptors [12]. This mechanism has been implicated in various neurological diseases, including Parkinson’s disease, Alzheimer’s disease, epilepsy, and ischemic brain injury [13].
The HT-22 cell line, derived from mouse hippocampal neurons, is widely used as an in vitro model to study oxidative glutamate toxicity independent of ionotropic glutamate receptors [14]. These immortalized cells possess characteristics similar to those of mature hippocampal neurons in vivo, including high responsiveness to glutamate and excitatory properties [15]. Although HT-22 cells lack functional iGluRs, they are highly sensitive to elevated levels of extracellular glutamate.
Exposure to glutamate induces oxidative cell death in HT-22 cells in a dose-and time-dependent manner, involving both necrotic and apoptotic pathways [16].
Drug combination studies involve the evaluation of two or more compounds administered at fixed doses or concentrations within a single formulation, considering differences in pharmacokinetics and physiological responses [17]. The interaction between drugs administered in combination can result in additive, synergistic, antagonistic, or independent effects, each of which can lead to significant biochemical changes in the body [18]. Although various studies have investigated the toxic effects of chemical mixtures on the skin, eyes, and respiratory system, only a limited number have quantitatively evaluated the effects of chemical combinations.
Notably, more than 95% of toxicological studies have focused on the effects of individual chemicals, often neglecting the potential interactions between compounds [19]. However, humans are frequently exposed to multiple chemicals, either simultaneously or sequentially, highlighting the importance of mixture-based approaches for exposure assessment, hazard identification, and risk evaluation [20]. Various analytical methods have been developed to assess chemical interactions. Among these, isobologram analysis and combination index (CI) method are two of the most widely recognized and reliable approaches for quantitative evaluation of synergistic, additive, or antagonistic effect of drug or chemical combinations [21, 22].
Although several studies have demonstrated the individual neurotoxic effects of heavy metals and glutamate, quantitative data assessing their combined interactions are lacking [23, 24].
Therefore, to elucidate the interaction mechanisms between heavy metals and glutamate, we aimed to (1) evaluate the individual and combined neurotoxic effects of heavy metals and glutamate in vitro, (2) quantitatively analyze their interaction patterns using combination analysis, and (3) assess their combined effects on reduced intracellular glutathione (GSH) levels.

Materials and Methods

Chemicals and reagents

Cadmium chloride (Cd²⁺, Cat# 287652), sodium (meta) arsenite (As³⁺, Cat# S7400), sodium arsenate dibasic heptahydrate (As⁵⁺, Cat# A6756), lead(II) chloride, 99.999% (Pb²⁺, Cat# 203572), mercury(II) chloride (Hg²⁺, Cat# 215465), thiazolyl blue tetrazolium bromide (MTT, Cat# M5655-1G), and L-glutamic acid (glutamate, Cat# G5889) were purchased from Sigma-Aldrich (St. Louis, MO, USA). The reduced glutathione detection kit (GSH-Glo™ Kit, Cat# V6911) was obtained from Promega Corporation (Madison, WI, USA).

Cell culture

The immortalized mouse hippocampal neuronal cell line “HT-22” was purchased from Millipore Sigma (Burlington, MA, USA). The cells were maintained in Dulbecco’s modified Eagle’s medium (DMEM; Welgene, Daegu, South Korea) supplemented with 10% fetal bovine serum (Corning, USDA Approved) and 1% penicillin/streptomycin (Welgene, Daegu, Korea). The cells were maintained in a humidified incubator at 37 °C and 5% CO2. All experiments were conducted using cells between passage numbers 11~25.

Heavy metal and glutamate treatment

HT-22 cells were exposed to Pb²⁺, Hg²⁺, As⁵⁺, As³⁺, and Cd²⁺ for 24 h. The stock solutions of each heavy metal were prepared by dissolving the compounds in distilled water and subsequently diluted in DMEM to the desired final concentrations by adding 1% (v/v) of each stock solution. Similarly, stock solutions of L-glutamic acid monosodium salt hydrate was prepared in distilled water. To obtain the final concentration, 1% (v/v) of glutamate stock solution was added to DMEM, and the cells were incubated in glutamate-containing medium for 24 h.

Heavy metals and glutamate co-treatment

Heavy metals and glutamate were co-administered to HT-22 hippocampal cells at two concentration ratios: low concentration ratio [LCR; Glu: HM = 1:0.0025] and high concentration ratio [HCR; Glu: HM = 1:0.025]. All chemicals were dissolved in distilled water to prepare the stock solutions. To achieve the desired final concentrations, 1% (v/v) of the combined stock solution was added to DMEM. The cells were then co-treated with glutamate and heavy metals for 24 h.

Measurement of cell viability with 3-(4, 5-Dimethylthiazol-2-yl) 2,5-diphenyl-tetrazolium bromide (MTT) reduction

HT-22 cells were seeded in 96-well plates at a density of 0.5 × 10⁴ cells per well and incubated for 24 h to allow for appropriate confluency. The cells were then treated with either individual or combined exposures of heavy metals and glutamate for 24 h. After treatment, 0.5 mg/mL MTT solution was added to each well, followed by a 2 -h incubation. The resulting formazan crystals were dissolved using dimethyl sulfoxide, and the absorbance was measured at 570 nm using a spectrophotometer (PerkinElmer, Santa Clara, CA, USA).

Median-effect and combination index (CI) isobologram equation for determining chemical interactions

The interactions between heavy metals and glutamate were evaluated using the median-effect equation, as described by the Chou-Talalay method [25].
(1)
fafu=DDmm
In this equation, D represents the dose (concentration) of the compound, Dm is the median-effect dose (IC50, ED50, or LD50 value), fa is the fraction of affected cells (0.5 at 50% inhibition), and fu is the unaffected fraction, where fa = 1 – fu. The exponent m is the Hill coefficient that describes the shape of the dose-response curve, where m = 1, >1, and <1 indicate hyperbolic, sigmoidal, and flat sigmoidal dose-effect curves, respectively [26].
Dm and m values for each compound were obtained from median-effect plots and accounted for both potency (Dm) and shape of the dose-response curve (m). These parameters were then used in the median-effect equation to predict the concentrations required to elicit specific effects [27].
To evaluate chemical interactions, the combination index (CI) was calculated using the following formula:
(2)
CI=(D)1Dx1+(D)2Dx2=(D)1Dm1fa1fa1/m1+(D)2Dm2fa1fa1/m2
where C1 <1, = 1, and >1 indicate synergism, additivity, and antagonism, respectively. (Dₓ)₁ and (Dₓ)₂ refer to doses of individual chemicals needed to achieve x% inhibition, whereas (D)₁ and (D)₂ represent doses used in combination to achieve the same x% inhibition. CI values were plotted as a function of the affected fraction (fa), resulting in a Fa-CI plot. This analysis allows interpretation of interactions as synergistic, additive, or antagonistic based on CI values.
In addition to CI analysis, chemical interactions were assessed using isobologram analysis. In this approach, synergism is indicated by data points falling below the line of additivity (reflecting a negative deviation). The classical isobologram model for two-chemical interactions is mathematically defined as follows:
(3)
(D)1Dx1+(D)2Dx2=1
This equation describes the additive effect expected when two chemicals are combined at doses producing x% inhibition when used individually. Deviations from this line indicate either synergy or antagonism.

Glutathione (GSH) assay

Reduced glutathione levels were measured using the GSH-Glo™ Glutathione Assay Kit (Promega, USA) according to the manufacturer’s instructions. HT-22 cells were seeded in 96-well plates at a density of 0.5 × 10⁴ cells per well. Following three hours of individual or combined exposure to Pb²⁺ and glutamate, the cells were incubated with a reaction buffer containing glutathione S-transferase and luciferin-NT at a 1:100 ratio for 30 min. After incubation, luciferin detection reagent was added and allowed to react for 15 min. The luminescence was measured using an EnSpire multimode plate reader (PerkinElmer).

Statistical analysis

All data are presented as the mean ± standard error of the mean (SEM). Data analysis was conducted using the SigmaPlot software (version 14.0). Combination index and classical isobologram analyses were performed using CompuSyn software (CompuSyn, Inc., Paramus, NJ, USA). For statistical comparisons, paired t-tests, one-way ANOVA, and Bonferroni post hoc tests were used where appropriate. A p-value of less than 0.05 was considered statistically significant.

Results

Co-exposure to heavy metals and glutamate reduces cell viability more than individual treatments

To induce neurotoxicity using heavy metals (Pb2+, Hg2+, As5+, As3+, and Cd2+) and glutamate, HT-22 cells were employed as an in vitro model of hippocampal neurons. The cells were exposed to either individual or combination treatment with glutamate and each heavy metal at two concentration ratios: low concentration ratio [LCR; Glu: HM = 1:0.0025] and high concentration ratio [HCR; Glu: HM = 1:0.025] for 24 h. Cell viability was assessed to evaluate changes in neurotoxicity in the hippocampal cell line. As shown in Figure 1, individual exposure to Pb2+, Hg2+, As5+, As3+, Cd2+, and glutamate led to a concentration-dependent decrease in cell viability under both LCR and HCR conditions. As shown in Figure 2 and 3, co-treatment with glutamate and each heavy metal resulted in a more pronounced reduction in cell viability compared to individual exposures. These findings suggest that the combination of glutamate and heavy metals induces synergistic or additive neurotoxic effect in hippocampal neurons.

Combination index analysis of glutamate and heavy metals interaction in neurotoxicity

Combination index (CI) analysis, an extension of the median-effect equation that defines synergism (CI < 1), additivity (CI = 1), and antagonism (CI > 1), was performed using the Chou-Talalay method using CompuSyn software. CI values were calculated at fractional effect levels of Fa = 0.25, 0.05, and 0.75 under both low concentration ratio [LCR; Glu: HM = 1:0.0025] and high concentration ratio [HCR; Glu: HM = 1:0.025] conditions. In the Fa-CI plot, the x-axis represents the fractional effect (Fa), while the y-axis represents the CI. Values of CI <1, CI = 1, and CI >1 indicate synergistic, additive, and antagonistic effects, respectively.
As shown in Figure 4, CI analysis under the low concentration ratio [LCR; Glu: HM = 1:0.0025] revealed that Pb2+ exhibited synergistic effect with glutamate, with CI values of 0.48 at Fa = 0.25 and 0.59 at Fa = 0.5, shifting to an additive effect at Fa = 0.75 (CI = 1.03). Hg2+ showed consistent antagonistic effect across all effect levels (CI = 1.35 at Fa = 0.25, 1.49 at Fa = 0.5, and 1.88 at Fa = 0.75). As5+ demonstrated mild antagonism, with CI values ranging from 1.21 to 1.15. Both As3+ and Cd2+ exhibited clear antagonistic effects, with CI values increasing from 1.64 to 2.14 for As3+, and from 1.22 to 1.74 for Cd2+.
In contrast, under the high concentration ratio [HCR; Glu: HM = 1:0.025], as shown in Figure 5, Pb2+ exhibited consistent synergistic effect with glutamate, with CI values of 0.68 at Fa = 0.25, 0.35 at Fa = 0.5, and 0.46 at Fa = 0.75. Hg2+ showed a shift from slight antagonism to synergism, with CI values decreasing from 1.14 to 0.52. As5+ demonstrated additive to slight synergistic effect, with CI values of 1.12, 0.99, and 0.90 across the increasing Fa levels. In contrast, As3+ and Cd2+ continued to exhibit antagonistic effects, although their CI values approached additivity at higher effect levels (As3+ : 1.31 to 0.98; Cd2+ : 1.37 to 1.07).
Collectively, these results indicate that Pb2+ exhibits a robust synergistic effect with glutamate under both LCR and HCR conditions, whereas the other heavy metals (Hg2+, As5+, As3+, and Cd2+) show variable or antagonistic effects depending on the metal and concentration ratio.
HT-22 cells were exposed to individual and combined treatments of glutamate and heavy metals (Pb²⁺, Hg²⁺, As⁵⁺, As³⁺, and Cd²⁺) at a low concentration ratio [LCR; Glu: HM = 1:0.0025] for 24 h. CI values were calculated using the Chou–Talalay method using CompuSyn software based on the median-effect principle. CI values indicate the type of interaction: CI < 1, synergism; CI = 1, additive effect; CI > 1, antagonism. The x-axis represents the fraction affected (Fa) and the y-axis represents the combination index (CI). Pb²⁺ exhibited strong synergism at Fa = 0.25 (CI = 0.48) and Fa = 0.5 (CI = 0.59), transitioning to an additive effect at Fa = 0.75 (CI = 1.03). In contrast, Hg²⁺ showed consistent antagonism across all effect levels (CI = 1.35–1.88). As⁵⁺ also demonstrated slight antagonism (CI = 1.15–1.21). As³⁺ and Cd²⁺ exhibited clear antagonistic effects, with CI values increasing from 1.64 to 2.14 and from 1.22 to 1.74, respectively.
HT-22 cells were exposed to individual and combined treatments with glutamate and heavy metals (Pb²⁺, Hg²⁺, As⁵⁺, As³⁺, and Cd²⁺) at a high concentration ratio [HCR; Glu: HM = 1:0.025] for 24 h. CI values were calculated using the Chou–Talalay method using CompuSyn software based on the median-effect principle. CI values indicate the type of interaction: CI < 1, synergism; CI = 1, additive effect; CI > 1, antagonism. The x-axis represents the fraction affected (Fa), and the y-axis represents the combination index (CI). Pb²⁺ showed strong synergistic effect (CI = 0.35–0.68), whereas Hg²⁺ and As⁵⁺ showed a shift from slight antagonism to synergism or additivity. As³⁺ and Cd²⁺ displayed antagonistic to near-additive effects depending on the Fa level.

Isobologram analysis of glutamate and heavy metals interaction in neurotoxicity

Isobologram analysis is a mathematically validated and widely accepted method for evaluating drug or chemical interactions. To assess the interaction between heavy metals and glutamate, isobologram analysis was performed using CompuSyn software at the Fa = 0.5 under both low concentration ratio [LCR; Glu: HM = 1:0.0025] and high concentration ratio [HCR; Glu: HM = 1:0.025] conditions. In an isobologram, the data points located on the diagonal (additive line) indicate additive effects, those positioned below and to the left of the line represent synergistic effects, and those above and to the right indicate antagonism.
As shown in Figure 6, Pb2+ exhibited synergistic effects with glutamate under both LCR and HCR conditions. Hg2+ showed shift in responses, from antagonism to synergism, at both concentration ratios. As5+ displayed slight antagonism under LCR condition and near-additive effects under HCR condition. In contrast, As3+ and Cd2+ demonstrated antagonistic effects with glutamate at both concentration ranges. These results indicate that among the tested heavy metals, Pb2+ consistently exhibits a synergistic effect with glutamate under both LCR and HCR conditions.
HT-22 cells were exposed to individual and combined treatments with glutamate and heavy metals at low [LCR; Glu: HM = 1:0.0025] and high [HCR; Glu: HM = 1:0.025] concentration ratios for 24 h. Isobologram analysis was performed using the Chou-Talay method at the effect level of Fa = 0.5. Data are presented as the mean ± standard error of the mean (SEM). N = 4. Squares represent the LCR group, and circles represent the HCR group. The data points located on the lower-left side of the isobologram indicated synergism, whereas those on the upper-right side indicated antagonism.

Depletion of reduced glutathione following co-exposure to Pb2+ and glutamate in HT-22 cells

Oxidative stress is known to play a central role in the pathogenesis of neurodegenerative diseases, and one of its representative indicators is the depletion of GSH, a key component of the cellular antioxidant system. GSH functions as a major intracellular antioxidant that eliminates ROS and plays a critical role in maintaining the redox balance. Because neurons are particularly vulnerable to oxidative damage, GSH depletion indicates the collapse of cellular defense mechanisms, which can lead to neuronal cell death and progression of neurodegenerative diseases. Therefore, reduced GSH levels are widely regarded as a sensitive biochemical marker of oxidative stress. Based on the results of quantitative interaction analysis between heavy metals and glutamate, Pb2+ exhibits a clear synergistic effect with glutamate in HT-22 cells. Accordingly, we further examined whether co-exposure to Pb2+ and glutamate affects intracellular GSH levels.
As shown in Figure 7, co-treatment with Pb2+ and glutamate significantly decreased GSH levels in HT-22 cells. These findings suggest that the combined exposure to Pb2+ and glutamate promotes GSH depletion, thereby exacerbating oxidative stress in HT-22 cells.

Discussion

In this study, we quantitatively evaluated the neurotoxic effects of combination of heavy metals and glutamate in HT-22 cells, a mouse hippocampal neuronal cell line.
Heavy metals are major environmental pollutants because of their high toxicity, widespread industrial use, and potential for bioaccumulation [28]. Natural sources, such as volcanic eruptions and Earth’s crust, along with anthropogenic activities, including mining, industrial operations, and agricultural practices, have significantly accelerated human exposure to heavy metals [29, 30].
The central nervous system is particularly vulnerable to metal-induced toxicity [28]. Among various heavy metals, Pb2+, Hg2+, As5+, As3+, and Cd2+ are the most commonly identified elements associated with adverse health effects. These metals can trigger a range of critical intracellular events, including oxidative stress, mitochondrial dysfunction, DNA fragmentation, endoplasmic reticulum stress, and activation of apoptotic pathways. Such abnormalities can disrupt normal neurophysiological functions and contribute to the development of neurodegenerative diseases, including Alzheimer’s disease, amyotrophic lateral sclerosis, autism spectrum disorder, and Parkinson’s disease [31]. Once these metals enter the human body through inhalation, ingestion, or dermal contact, they are capable of crossing the BBB and interact with endogenous neurotoxic molecules [32].
Despite being the most abundant excitatory amino acid involved in various essential metabolic and neurotransmission pathways, glutamate is one of the major endogenous neurotoxins in the brain. However, excessive release of glutamate from both neurons and glial cells can initiate a form of cell death known as excitotoxicity [31]. Furthermore, elevated extracellular glutamate levels can reverse the function of the cystine/glutamate antiporter system Xc-, thereby inhibiting cystine uptake. This leads to a reduction in intracellular GSH levels and induces a form of cell injury known as oxidative glutamate toxicity [33].
Additionally, a recent study has reported that monosodium L-glutamate (MSG), commonly used as a food additive to enhance the umami flavor, may induce neurodegeneration in certain brain regions and trigger neurochemical and behavioral alterations [34]. Although numerous studies have investigated the neurotoxic effects of individual heavy metals and glutamate, quantitative evaluation of their combined interactions, particularly in hippocampal neuronal cell lines, remains limited. Most contemporary toxicological research and health risk assessments continue to focus on individual chemical effects and often overlook the potential risks posed by combined or interactive exposures [35].
Pb2+, Hg2+, As5+, As3+, and Cd2+ are systemic toxicants that can damage multiple organs even at low levels of exposure [36].
In this study, we investigated the neurotoxic effects of individual and combined exposures to heavy metals and glutamate in a hippocampal neuronal cell line. Our results demonstrated that cell viability decreased in a concentration-dependent manner for both glutamate and each heavy metal when applied individually. Notably, co-exposure to glutamate and heavy metals at both low concentration ratio [LCR; Glu: HM = 1:0.0025] and high concentration ratio [HCR; Glu: HM = 1:0.025] concentration ratios resulted in a more pronounced reduction in cell viability than that of individual treatments. We selected the Glu: HM concentration ratios of 1:0.0025 and 1:0.025 based on IC values (inhibitory concentration) of cell viability data from our MTT assay for glutamate and each of the heavy metals. We used the combined concentrations within the IC10 to IC30 range, which is essential to evaluate any potential synergistic or additive interactions while preventing excessive cytotoxicity that could obscure mild toxicological effects. Specifically, the low concentration ratio refers to the IC10 of glutamate and each heavy metals, allowing assessment under subthreshold ranges, whereas the 1:0.025 ratio investigates interactions at higher concentration of heavy metals which fall in a steep range in dose-response curves.
In the environment, chemical toxicities rarely occur in isolation but typically exist as complex mixtures. Certain chemicals can enhance the toxic potential of others, resulting in greater toxicity than expected from individual exposure alone [37]. Therefore, it is essential to conduct quantitative analyses of these chemical mixtures to better understand their combined toxicological effects.
Accordingly, we employed a mathematically validated and widely used pharmacodynamic/ toxicodynamic method to evaluate the chemical interactions, known as the median-effect and CI model, based on the isobologram equation, a methodology that has been extensively applied in many studies to evaluate chemical-chemical interaction [38-41]. This approach allows for the quantitative assessment of interaction types, where CI values less than 1 indicate synergism, equal to 1 indicate additivity, and greater than 1 indicate antagonism [26].
Median-effect and CI analyses revealed that at Fa levels of 0.25, 0.5, and 0.75, the combination of Pb2+ and glutamate exhibited effects ranging from near-additive to synergistic under LCR condition, and clear synergistic effects under HCR condition. Consistently, isobologram analysis at Fa = 0.5 level also demonstrated synergistic effects between Pb2+ and glutamate under both LCR and HCR conditions. Therefore, we conclude that Pb2+ exhibits a consistent synergistic effect with glutamate.
Pb2+ is a well-known systemic toxicant that poses serious health risks to both adults and children [42]. In particular, Pb2+ exerts significant neurotoxic effects owing to its strong ability to cross the BBB, which is facilitated by its capacity to substitute for calcium ions. Once in the brain, Pb2+ accumulates in regions such as the prefrontal cortex, hippocampus, and cerebellum, leading to neuronal injury that can contribute to a range of neurological disorders, including behavioral impairments, neurodevelopmental delays, and brain atrophy associated with Alzheimer’s and Parkinson’s diseases [43].
Naturally present in the Earth’s crust, lead contamination arises from both natural and anthropogenic sources such as mining, smelting, manufacturing, and recycling processes. Pb2+ is still widely used in consumer products such as jewelry, toys, paints, stained glass, and certain forms of traditional medicine. According to the World Health Organization, there is no known safe blood lead concentration, and levels as low as 3.5 μg/dL have been associated with reduced intelligence, behavioral problems, and learning deficits in children [44].
Reduced GSH, a ubiquitous tripeptide thiol, is one of the key antioxidant involved in both intracellular and extracellular defense mechanisms, as well as in maintaining redox homeostasis in neurons [35]. Decreased GSH levels in the brain have been implicated in the pathogenesis of several neurodegenerative diseases [45, 46].
Based on these findings, we investigated the effects of individual and combined exposure to Pb2+ and glutamate on GSH levels. Our results showed that co-treatment with Pb2+ and glutamate at a low concentration ratio significantly decreased GSH levels in hippocampal neuronal cells.

Conclusions

Co-exposure to heavy metals (Pb2+, Hg2+, As5+, As3+, and Cd2+) and glutamate resulted in greater neurotoxicity than individual exposures. Among the tested metals, Pb2+ exhibited consistent synergistic effects with glutamate under both LCR and HCR. In contrast, Hg2+ showed antagonistic effects under LCR and synergistic effects under HCR, while As5+ exhibited antagonism at LCR and additivity at HCR. As3+ and Cd2+ demonstrated antagonistic effects with glutamate under both conditions. Notably, co-treatment with Pb2+ and glutamate significantly reduced intracellular GSH levels in the hippocampal neuronal cell line, suggesting enhanced oxidative stress under combined exposure.

Notes

Acknowledgement
This research was supported by the National Research Foundation (RS-2022-NR070655)
Conflict of interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
CRediT author statement
AJ: Conceptualization, Methodology, Software, Investigation, Data curation; JG: Data curation, Writing- Original draft preparation, Visualization, investigation; DK: Data curation, visualization investigation; SC: Data curation, visualization, investigation; HP: Data curation, visualization, investigation; YS: Data curation, Visualization, investigation; ONB: Supervision, Reviewing and Editing

References

1. Jaishankar M, Tseten T, Anbalagan N, Mathew BB, Beeregowda KN. Toxicity, mechanism and health effects of some heavy metals. Interdiscip Toxicol 2014;7(2):60-72 http://doi.org/10.2478/intox-2014-0009.
crossref pmid pmc
2. Duffus JH. "Heavy metals" a meaningless term? (IUPAC Technical Report). Pure and Applied Chemistry 2002;74(5):793-807 https://doi.org/10.1351/pac200274050793.
crossref
3. Agency for Toxic Substances and Disease Registry (ATSDR). Substance priority list. [cited May 18, 2025]. Available from: https://www.atsdr.cdc.gov/programs/substance-priority-list.html.

4. Singh N, Sharma B. On the mechanisms of heavy metal-induced neurotoxicity: Amelioration by plant products. Proc Natl Acad Sci India Sect B Biol Sci 2021;91(4):743-751 https://doi.org/10.1007/s40011-021-01272-9.
crossref
5. Kritis AA, Stamoula EG, Paniskaki KA, Vavilis TD. Researching glutamate - induced cytotoxicity in different cell lines: a comparative/collective analysis/study. Front Cell Neurosci 2015;9: 91 http://doi.org/10.3389/fncel.2015.00091.
crossref pmid pmc
6. Flora SJS, Chouhan S, Kannan GM, Mittal M, Swarnkar H. Combined administration of taurine and monoisoamyl DMSA protects arsenic induced oxidative injury in rats. Oxid Med Cell Longev 2008;1(1):39-45 http://doi.org/10.4161/oxim.1.1.6481.
crossref pmid pmc
7. Flora SJS, Mittal M, Mehta A. Heavy metal induced oxidative stress & its possible reversal by chelation therapy. Indian J Med Res 2008;128(4):501-523.
pmid
8. Cao Y, Li B, Ismail N, Smith K, Li T, Dai R, et al. Neurotoxicity and underlying mechanisms of endogenous neurotoxins. Int J Mol Sci 2021;22(23):12805 http://doi.org/10.3390/ijms222312805.
crossref pmid pmc
9. Meldrum BS. Glutamate as a neurotransmitter in the brain: review of physiology and pathology. J Nutr 2000;130(4S Suppl):1007S-1015S http://doi.org/10.1093/jn/130.4.1007S.
crossref pmid
10. Kirdajova DB, Kriska J, Tureckova J, Anderova M. Ischemia-triggered glutamate excitotoxicity from the perspective of glial cells. Front Cell Neurosci 2020;14: 51 http://doi.org/10.3389/fncel.2020.00051.
crossref pmid pmc
11. Fukui M, Song JH, Choi J, Choi HJ, Zhu BT. Mechanism of glutamate-induced neurotoxicity in HT22 mouse hippocampal cells. Eur J Pharmacol 2009;617(1-3):1-11 http://doi.org/10.1016/j.ejphar.2009.06.059.
crossref pmid
12. Wang Y, Qin ZH. Molecular and cellular mechanisms of excitotoxic neuronal death. Apoptosis 2010;15(11):1382-1402 http://doi.org/10.1007/s10495-010-0481-0.
crossref pmid
13. Park SY, Jung WJ, Kang JS, Kim CM, Park G, Choi YW. Neuroprotective effects of α-iso-cubebene against glutamate-induced damage in the HT22 hippocampal neuronal cell line. Int J Mol Med 2015;35(2):525-532 http://doi.org/10.3892/ijmm.2014.2031.
crossref pmid
14. Murphy TH, Baraban JM. Glutamate toxicity in immature cortical neurons precedes development of glutamate receptor currents. Brain Res Dev Brain Res 1990;57(1):146-150 http://doi.org/10.1016/0165-3806(90)90195-5.
crossref pmid
15. He M, Liu J, Cheng S, Xing Y, Suo WZ. Differentiation renders susceptibility to excitotoxicity in HT22 neurons. Neural Regen Res 2013;8(14):1297-1306 http://doi.org/10.3969/j.issn.1673-5374.2013.14.006.
crossref pmid pmc
16. Tan S, Wood M, Maher P. Oxidative stress induces a form of programmed cell death with characteristics of both apoptosis and necrosis in neuronal cells. J Neurochem 1998;71(1):95-105 http://doi.org/10.1046/j.1471-4159.1998.71010095.x.
crossref pmid
17. Cheng B, Xu P. Nanoparticle-based formulation for drug repurposing in cancer treatment. In: To KKW, Cho WCS, editors. Drug repurposing in cancer therapy: Approaches and applications. Elsevier; 2020. 335-351.

18. Scholze M, Silva E, Kortenkamp A. Extending the applicability of the dose addition model to the assessment of chemical mixtures of partial agonists by using a novel toxic unit extrapolation method. PLoS One 2014;9(2):e88808. http://doi.org/10.1371/journal.pone.0088808.
crossref pmid pmc
19. Kortenkamp A, Backhaus T, Faust M. State of the art report on mixture toxicity - Final report, executive summary. [cited May 18, 2025]. Available from: https://ec.europa.eu/environment/chemicals/effects/pdf/report_mixture_toxicity.pdf.

20. Cassee FR, Groten JP, van Bladeren PJ, Feron VJ. Toxicological evaluation and risk assessment of chemical mixtures. Crit Rev Toxicol 1998;28(1):73-101 http://doi.org/10.1080/10408449891344164.
crossref pmid
21. Huang RY, Pei L, Liu Q, Chen S, Dou H, Shu G, et al. Isobologram analysis: A comprehensive review of methodology and current research. Front Pharmacol 2019;10: 1222 http://doi.org/10.3389/fphar.2019.01222.
crossref pmid pmc
22. Zhao L, Wientjes MG, Au JLS. Evaluation of combination chemotherapy: integration of nonlinear regression, curve shift, isobologram, and combination index analyses. Clin Cancer Res 2004;10(23):7994-8004 http://doi.org/10.1158/1078-0432.CCR-04-1087.
crossref pmid
23. Li B, Xia M, Zorec R, Parpura V, Verkhratsky A. Astrocytes in heavy metal neurotoxicity and neurodegeneration. Brain Res 2021;1752: 147234 http://doi.org/10.1016/j.brainres.2020.147234.
crossref pmid pmc
24. Vellingiri B, Suriyanarayanan A, Selvaraj P, Abraham KS, Pasha MY, Winster H, et al. Role of heavy metals (copper (Cu), arsenic (As), cadmium (Cd), iron (Fe) and lithium (Li)) induced neurotoxicity. Chemosphere 2022;301: 134625 http://doi.org/10.1016/j.chemosphere.2022.134625.
crossref pmid
25. Chou TC, Talalay P. Quantitative analysis of dose-effect relationships: the combined effects of multiple drugs or enzyme inhibitors. Adv Enzyme Regul 1984;22: 27-55 http://doi.org/10.1016/0065-2571(84)90007-4.
crossref pmid
26. Chou TC. Theoretical basis, experimental design, and computerized simulation of synergism and antagonism in drug combination studies. Pharmacol Rev 2006;58(3):621-681 http://doi.org/10.1124/pr.58.3.10.
crossref pmid
27. Muthusamy S, Peng C, Ng JC. The binary, ternary and quaternary mixture toxicity of benzo[a]pyrene, arsenic, cadmium and lead in HepG2 cells. Toxicol Res (Camb) 2016;5(2):703-713 http://doi.org/10.1039/c5tx00425j.
crossref pmid pmc
28. Caito S, Aschner M. Neurotoxicity of metals. Handb Clin Neurol 2015;131: 169-189 http://doi.org/10.1016/B978-0-444-62627-1.00011-1.
crossref pmid
29. Ali H, Khan E, Ilahi I. Environmental chemistry and ecotoxicology of hazardous heavy metals: Environmental persistence, toxicity, and bioaccumulation. J Chem 2019;2019: 6730305 http://doi.org/10.1155/2019/6730305.
crossref
30. Balali-Mood M, Naseri K, Tahergorabi Z, Khazdair MR, Sadeghi M. Toxic mechanisms of five heavy metals: Mercury, lead, chromium, cadmium, and arsenic. Front Pharmacol 2021;12: 643972 http://doi.org/10.3389/fphar.2021.643972.
crossref pmid pmc
31. Zhou Y, Danbolt NC. Glutamate as a neurotransmitter in the healthy brain. J Neural Transm (Vienna) 2014;121(8):799-817 http://doi.org/10.1007/s00702-014-1180-8.
crossref pmc
32. de Andrade VL, dos Santos APM, Aschner M. Neurotoxicity of metal mixtures. Adv Neurotoxicol 2021;5: 329-364 http://doi.org/10.1016/bs.ant.2020.12.003.
crossref pmid pmc
33. Schubert D, Piasecki D. Oxidative glutamate toxicity can be a component of the excitotoxicity cascade. J Neurosci 2001;21(19):7455-7462 http://doi.org/10.1523/JNEUROSCI.21-19-07455.2001.
crossref pmid pmc
34. Kiss P, Tamas A, Lubics A, Szalai M, Szalontay L, Lengvari I, et al. Development of neurological reflexes and motor coordination in rats neonatally treated with monosodium glutamate. Neurotox Res 2005;8(3-4):235-244 http://doi.org/10.1007/BF03033977.
crossref pmid
35. Zitka O, Skalickova S, Gumulec J, Masarik M, Adam V, Hubalek J, et al. Redox status expressed as GSH:GSSG ratio as a marker for oxidative stress in paediatric tumour patients. Oncol Lett 2012;4(6):1247-1253 http://doi.org/10.3892/ol.2012.931.
crossref pmid pmc
36. Tchounwou PB, Yedjou CG, Patlolla AK, Sutton DJ. Heavy metal toxicity and the environment. Exp Suppl 2012;101: 133-164 http://doi.org/10.1007/978-3-7643-8340-4_6.
crossref pmid
37. Cedergreen N. Quantifying synergy: a systematic review of mixture toxicity studies within environmental toxicology. PLoS One 2014;9(5):e96580. http://doi.org/10.1371/journal.pone.0096580.
crossref pmid pmc
38. Buettner R, Nguyen LXT, Morales C, Chen MH, Wu X, Chen LS, et al. Targeting the metabolic vulnerability of acute myeloid leukemia blasts with a combination of venetoclax and 8-chloro-adenosine. J Hematol Oncol 2021;14(1):70 http://doi.org/10.1186/s13045-021-01076-4.
crossref pmid pmc
39. Gao Z, Xu J, Fan Y, Qi Y, Wang S, Zhao S, et al. PDIA3P1 promotes Temozolomide resistance in glioblastoma by inhibiting C/EBPβ degradation to facilitate proneural-to-mesenchymal transition. J Exp Clin Cancer Res 2022;41(1):223 http://doi.org/10.1186/s13046-022-02431-0.
crossref pmid pmc
40. Chang YT, Wu IT, Sheu MJ, Lan YH, Hung CC. Formononetin defeats multidrug-resistant cancers by induction of oxidative stress and suppression of P-glycoprotein. Int J Mol Sci 2024;25(15):8471 http://doi.org/10.3390/ijms25158471.
crossref pmid pmc
41. Lu M, Xing H, Shao W, Wu P, Fan Y, He H, et al. Antitumor synergism between PAK4 silencing and immunogenic phototherapy of engineered extracellular vesicles. Acta Pharm Sin B 2023;13(9):3945-3955 http://doi.org/10.1016/j.apsb.2023.03.020.
crossref pmid pmc
42. Vacchi-Suzzi C, Viens L, Harrington JM, Levine K, Karimi R, Meliker JR. Low levels of lead and glutathione markers of redox status in human blood. Environ Geochem Health 2018;40(4):1175-1185 http://doi.org/10.1007/s10653-017-0034-3.
crossref pmid
43. Sanders T, Liu Y, Buchner V, Tchounwou PB. Neurotoxic effects and biomarkers of lead exposure: a review. Rev Environ Health 2009;24(1):15-45 http://doi.org/10.1515/reveh.2009.24.1.15.
crossref pmid pmc
44. World Health Organization (WHO). Lead poisoning. [cited 2025 April 10]. Available from: https://www.who.int/news-room/fact-sheets/detail/lead-poisoning-and-health.

45. Aoyama K. Glutathione in the brain. Int J Mol Sci 2021;22(9):5010 http://doi.org/10.3390/ijms22095010.
crossref pmid pmc
46. White AR, Cappai R. Neurotoxicity from glutathione depletion is dependent on extracellular trace copper. J Neurosci Res 2003;71(6):889-897 http://doi.org/10.1002/jnr.10537.
crossref pmid

Figure 1.
Individual toxicity of heavy metals or glutamate treatment on HT-22-cells.
HT-22 cells were exposed to heavy metals (Pb2+, Hg2+, As5+, As3+, or Cd2+) or glutamate for 24 h. Cell viability was assessed using the MTT assay. Data are presented as the mean ± standard error of the mean (SEM).
Each heavy metals; N = 4, glutamate; N = 20.
*p < 0.05 vs. 0 μM, **p < 0.01 vs. 0 μM, ***p < 0.001 vs. 0 μM.
eaht-40-Special_Issue-e2025s08f1.jpg
Figure 2.
Neurotoxic effects in HT-22 treated with combination of heavy metals and glutamate at a low concentration ratio [LCR; Glu: HM = 1:0.0025]
HT-22 cells were exposed to a low concentration ratio (LCR) of glutamate and heavy metals [LCR; Glu: HM = 1:0.0025] for 24 h. Cell viability was assessed using the MTT assay. Data are presented as the mean ± standard error of the mean (SEM). N = 4.
*p < 0.05 vs. 0 μM , **p < 0.01 vs. 0 μM, ***p < 0.001 vs. 0 μM.
eaht-40-Special_Issue-e2025s08f2.jpg
Figure 3.
Neurotoxic effects in HT-22 cells treated with combination of heavy metals and glutamate at a high concentration ratio [HCR; Glu: HM = 1:0.025]
HT-22 cells were exposed to a high concentration ratio (HCR) of glutamate and heavy metals [HCR; Glu: HM = 1:0.025] for 24 h. Cell viability was assessed using the MTT assay. Data are presented as the mean ± standard error of the mean (SEM). N = 4.
*p < 0.05 vs. 0 μM , **p < 0.01 vs. 0 μM, ***p < 0.001 vs. 0 μM.
eaht-40-Special_Issue-e2025s08f3.jpg
Figure 4.
Combination index (CI) analysis of the interaction between heavy metals and glutamate at a low concentration ratio [LCR; Glu: HM = 1:0.0025] in inducing neuronal toxicity.
eaht-40-Special_Issue-e2025s08f4.jpg
Figure 5.
Combination index (CI) analysis of the interaction between heavy metals and glutamate at a high concentration ratio [HCR; Glu: HM = 1:0.025] in inducing neuronal toxicity.
eaht-40-Special_Issue-e2025s08f5.jpg
Figure 6.
Isobologram analysis of the interaction between glutamate and heavy metals at low [LCR; Glu: HM = 1:0.0025] and high [HCR; Glu: HM = 1:0.025] concentration ratios.
eaht-40-Special_Issue-e2025s08f6.jpg
Figure 7.
Reduced GSH levels following co-exposure to Pb2+ and glutamate in HT-22 cells.
HT-22 cells were exposed to Pb2+ (5 μM), glutamate (2 mM), or their combination for 3 h, with glutamate (10 mM) included as a positive control. The level of reduced GSH was measured using a spectrophotometric method. Data are presented as the mean ± standard error of the mean (SEM). N = 3.
*p < 0.05 vs. control , **p < 0.01 vs. control, ***p < 0.001 vs. control, ##p < 0.01 vs. Pb2+, &p < 0.5 vs. Glu (2 mM).
eaht-40-Special_Issue-e2025s08f7.jpg
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