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Review

Cognitive Impairment Induced by Lead Exposure during Lifespan: Mechanisms of Lead Neurotoxicity

by
Daniela Ramírez Ortega
1,
Dinora F. González Esquivel
1,
Tonali Blanco Ayala
1,
Benjamín Pineda
2,
Saul Gómez Manzo
3,
Jaime Marcial Quino
4,
Paul Carrillo Mora
5 and
Verónica Pérez de la Cruz
1,*
1
Laboratorio de Neurobioquímica y Conducta, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, S.S.A., México D.F. 14269, Mexico
2
Laboratorio de Neuroinmunología, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, S.S.A., México D.F. 14269, Mexico
3
Laboratorio de Bioquímica Genética, Instituto Nacional de Pediatría, Secretaría de Salud, México City 04530, Mexico
4
CONACYT—Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
5
División de Neurociencias, Instituto Nacional de Rehabilitación, S.S.A., México D.F. 14389, Mexico
*
Author to whom correspondence should be addressed.
Toxics 2021, 9(2), 23; https://doi.org/10.3390/toxics9020023
Submission received: 31 December 2020 / Revised: 19 January 2021 / Accepted: 25 January 2021 / Published: 28 January 2021

Abstract

:
Lead (Pb) is considered a strong environmental toxin with human health repercussions. Due to its widespread use and the number of people potentially exposed to different sources of this heavy metal, Pb intoxication is recognized as a public health problem in many countries. Exposure to Pb can occur through ingestion, inhalation, dermal, and transplacental routes. The magnitude of its effects depends on several toxicity conditions: lead speciation, doses, time, and age of exposure, among others. It has been demonstrated that Pb exposure induces stronger effects during early life. The central nervous system is especially vulnerable to Pb toxicity; Pb exposure is linked to cognitive impairment, executive function alterations, abnormal social behavior, and fine motor control perturbations. This review aims to provide a general view of the cognitive consequences associated with Pb exposure during early life as well as during adulthood. Additionally, it describes the neurotoxic mechanisms associated with cognitive impairment induced by Pb, which include neurochemical, molecular, and morphological changes that jointly could have a synergic effect on the cognitive performance.

1. Introduction

Lead (Pb) is a toxic heavy metal found in different sources that include contaminated drinking water, batteries, gasoline, paint, food cans, traditional folk remedies, water pipes, Pb-glazed ceramics, Pb-crystal, cosmetics, jewelry, cigarette smoke, Pb-solder used to produce vinyl lunch boxes and children’s toys, and even contaminated candy [1,2]. As a consequence of its environmental persistence, transportability, and widespread sources, Pb is considered a public health problem of global magnitude. Among the countries with a major prevalence of Pb toxicity in humans are India, Indonesia, the Philippines, Nigeria, China, Pakistan, Brazil, Mexico, Peru, France, and the United States [3,4]. The main route of Pb entry into the organism is oral; the gastrointestinal tract absorbs around 5–15% of Pb and the rest is excreted in the feces. Some Pb particles are inhaled and by ciliary action of respiratory epithelial cells these are swallowed into the gastrointestinal tract. There are two types of Pb in the body: diffusible (mobile) and non-diffusible (fixed) forms [5]. Mobile Pb is considered biologically active and can be transported from one part of the body to another, while fixed Pb is accumulated in soft tissues (intestine, lungs, liver, spleen, kidney, and central nervous system (CNS)) and bones [6]. The excretion of Pb is carried out by the liver through bile secretion and by the kidneys through glomerular filtration and transtubular flow [7]. The Pb half-life in the bloodstream is around 35 days; however, once absorbed, it can be dispersed to soft tissues and stored in the bones for extended periods of time with estimations being around 30 years [8]. Pb is highly permeable and can cross the placental and blood–brain barrier (BBB) and can also be present in breast milk. According to data research concerning Pb poisoning long-term effects, Pb toxic threshold has been drastically reduced from 60 µg/dL in the 1960s to 10 µg/dL in 1991. Currently, the Center for Disease Control and Prevention (CDC) has established ≥5 μg/dL as blood Pb reference value; however, there are no measurable blood levels of Pb found to be safe since even low levels of Pb produce toxic effects (Table 1) [9,10].
Clinical effects of Pb poisoning include neurological features such as encephalopathy, headache, seizures, cerebral palsy, and confusion; renal failure and convulsions can also appear. As Pb exposure increases, severe effects of Pb can be lethal. The severity of these effects is directly associated with the concentration of Pb in the blood [7,20]. In this context, several studies describe some factors that confer susceptibility to Pb toxicity: age, metabolism of calcium, phosphorus, iron, vitamins, ascorbic acid, dietary protein, alcohol consumption, pregnancy, and co-existent diseases [7].
According to the World Health Organization (WHO), the fetal stage of human development and young children are particularly vulnerable to Pb toxicity mainly because of a higher absorption rate of 4–5 times as much ingested Pb as adults from a given source [21,22]. The CNS is one of the targets where Pb toxicity exerts its most harmful and long-term effects, being especially severe if the exposure occurs during early life [20]. In this context, Gulson and coworkers showed that Pb mobilization to the fetus or newborn children can occur from endogenous sources, such as the maternal skeleton during pregnancy and in higher concentrations during lactation due to Pb ability to pass through the mammary gland barrier and the increased physiologic demand for calcium during this period of time [23,24,25]. There is evidence suggesting that Pb exposure causes severe effects in cognitive function in both adults and children, including intellectual and learning disabilities and behavioral disorders [1]. These deleterious effects have been associated with several molecular and cellular mechanisms including alterations in DNA and chromosomal integrity [26]; Pb direct interaction with proteins, especially with those presenting metal-binding sites due to its high electronegativity [26]; and alteration to cellular redox status considering that Pb can generate reactive oxygen species (ROS) simultaneously with depletion of antioxidants systems due to its high affinity for thiol groups [27] (Figure 1). Herein, we provide an overview of the factors described in the literature that can converge and influence the cognitive alterations induced by Pb exposure both in humans and experimental models. First, we describe the cognitive alterations found in humans exposed to Pb during early life and in adulthood. Then, we discuss the mechanisms involved in Pb neurotoxicity and the experimental therapies used to counteract, mainly the redox disbalance and cognitive impairment induced by Pb.

2. Lead Exposure during Developing Brain, Early Life, and Adulthood: Clinical Evidence

The human brain, in prenatal and early postnatal periods, undergoes rapid growth and is extremely sensitive to environmental pollutants including heavy metals such as Pb [28]. As mentioned above, Pb produces severe effects in the CNS and particularly in the developing brain, due to the immature blood–brain barrier and the high rates of cellular proliferation, differentiation, and synaptogenesis distinctive of this period.

2.1. Cognitive Effects Associated with Prenatal and Early Postnatal Pb Exposure in Humans

Lead poisoning has been reported in the entire population, from newborns to adults (Table 2). In the adult body, over 90% of Pb is stored in the bones and teeth; however, it can reenter the blood and soft tissues during periods of heightened bone turnover [29,30,31]. Nonetheless, the developing brain is more sensitive to Pb because the fetal blood–barrier is more permeable, and the fetus bone’s capacity for sequestering this heavy metal is reduced compared to adults. In the fetus, the placenta is the first source of Pb exposure due to Pb distribution into maternal blood and later easy transportation through the placenta. It has been estimated from umbilical cord blood samples that the fetal blood Pb levels correlate (80–90%) with those found in maternal blood [32,33,34]. Pb can also be found in the breast milk, thus representing an additional source of exposure for newborns [32,35,36,37,38,39]. A correlation between Pb concentration in blood and maternal milk of 53 pregnant women and newborns blood samples was established, suggesting that Pb transport is nonselective; hence, the placenta and blood-brain barrier allow Pb passage through passive and facilitated diffusion [40,41].
Numerous factors can contribute to the severity of Pb toxic effects: nutritional status, smoking, occupational environment, etc. It has been demonstrated that calcium deficiency increased Pb absorption [61,62]. In this context, high blood Pb levels have been related to moderate (hemoglobin: 7.0–9.9 g/dL) and severe (hemoglobin < 7.0 g/dL) anemia in pregnant women. Furthermore, even low blood Pb levels are causally related to an elevated risk of mild and moderate Fe deficiency anemia [63]. An oxidant environment induced by Pb exposure in anemic pregnant women also exhibited a strong correlation between blood Pb concentration and redox biomarkers such as catalase (CAT) and superoxide dismutase (SOD) enzymatic activities along with lipid peroxidation products were characterized [63]. Interestingly, an additional study found a weak correlation between the concentration of Pb in the neonatal blood and the concentration of vaccenic acid (a fatty acid and oxidative stress inducer) in maternal blood [41,64].
Lead exposure during neurodevelopment is especially damaging because this metal can trigger some irreversible alterations in the structure and function of the CNS. A recent study based on the Barley cognitive scores obtained in 24-month-old children showed that the psychosocial stress observed during the pregnancy has an additive harmful effect together with the blood Pb levels on neurodevelopment [65]. Additionally, as revealed by a longitudinal study analyses in newborns where a direct correlation between elevated cord blood Pb levels (above 2.475 µg/dL) and head circumferences reduction was found, this could represent a critical factor in long-term cognitive deficits [66]. Alterations in the pattern of arousal states in newborns are also affected by Pb exposure and have been suggested to be useful for risk stratification; Pb levels higher than 10 µg/dL in umbilical cord blood correlated with arousal states characterized by restless, fidgety, increased motor activity, and intense crying in newborns, indicating that they were least likely to transition from awake states back into deep or light sleep states [67]. Another study conducted in Mexico City in 24-month-old infants found that Pb levels in both umbilical cord blood and maternal trabecular bone were inversely associated with the Mental Development Index (MDI) scores of the Bayley Scale [68]. Similarly, an additional study in two-year-old children previously characterized with high Pb cord blood levels at birth (10–25 µg/dL) had lower scores in the cognitive development test (MDI); such effect was pronounced from birth to two years of age, but undetectable at 57 months. Based on this last finding, Bellinger et al. proposed that this later recovery was due to sociodemographic factors such as additional cognitive or psychosocial stimulation [69,70].
Moreover, a Yugoslavian prospective study in three-, four-, five- and seven-year-old children from mothers recruited during pregnancy from a smelter town confirmed that prenatal and postnatal early life Pb exposure is associated with a lower intelligence quotient (IQ) score [71]. Within the same country, a similar cohort study in children (4.5 years old) showed a modest association between early Pb exposure and fine motor and visual-motor functioning [72]. Lead exposure has also been associated with attention-deficit/hyperactivity disorder (ADHD) in children [73,74,75,76,77]. Recently, it was shown that prenatal Pb exposure causes prepulse inhibition (PPI) deficits in children and adolescents, indicating an inadequate organization in the cognitive process [78]. In addition, it has been shown that a higher cumulative Pb level was associated with higher sleep fragmentation in adolescents [79].

2.2. Cognitive Impairments in Children Pb-Exposed

Children form part of the most vulnerable sector to Pb poisoning due to the frequency of hand-to-mouth activity and a higher calcium demand for their growth. Lead mimics calcium; thus, this heavy metal, even at low concentrations, has severe effects in the growing children. Children are more vulnerable to Pb exposure than adults because they absorb 40–50% of dietary Pb, whereas adults absorb only 5–10% [80]. An additional concern about exposure to Pb in this age group are the candies wrapped with decorative paints with Pb content that are commonly consumed at this age [81]. In countries such as Mexico and USA, consumption of these candies has been related to an increase in blood Pb levels in children 2–6 years of age. Although this source of exposure appears to be mild, this should be studied in greater detail in the future because it may represent a source of mild but chronic Pb exposure in children [82,83]. Another important source of Pb exposure in children includes folk remedies [81]. In this context, there are reports of children suffering with acute Pb poisoning after they were treated for stomachache or intestinal illness with traditional medicines such as greta and/or azarcon (folk remedies containing Pb oxide and Pb tetroxide, respectively) [84,85].
The effect of Pb on cognitive parameters has been widely reported (Table 1), especially in memory and learning [10,86,87]. Cognitive long-term deficits were evaluated in children from a Pb smelter community; the evaluation started at two years old with blood concentrations of 30 µg Pb/dL and a deficit of 3.3 points on the Bayley Mental Development Index was found; at the age of four, they had a deficit of 7.2 points on the McCarthy General Cognitive Index that persisted until the age of seven years old. This evidence suggested that Pb exposure in the preschool age has a maximal detrimental effect on IQ [86,87]. Another study in children, in whom Pb levels were determined in the teeth as a principal indicator for long-term cumulative Pb exposure, was performed. Pb was measured and the children were separated into two groups: low 4.6 µg/g (range: 1.4–12.7 µg/g) and high 6.2 µg/g (range: 1.9–38.5 µg/g) Pb levels. The group with the highest Pb levels in the teeth showed deterioration of visual-motor integration and IQ deficits (5–7 points) along with deficits in verbal IQ (4–7 points) and full-scale IQ. Moreover, the parents or teachers of the children with the highest Pb concentrations indicated that the children were easily distracted, restless, and they lacked the interest to do their homework [13]. Protein, zinc, iron, and calcium deficiency are additional consequences of Pb exposure in children. Evidence from high and low Pb-polluted areas showed that children living in high-risk areas of Pb pollution had Pb levels ≥ 10 µg/dL; 37% of these children showed cognitive dysfunction, which was also associated with lower hemoglobin (anemia) unlike those without cognitive impairment [14]. In agreement, a study focused on Mexican children aged 6–8 years (n = 602) living close to a metal factory found that 50% of the study population had Pb blood levels ≥10 µg/dL. The prevalence of anemia (hemoglobin <12.4 g/dL) and zinc and iron deficiency were 10%, 28.9%, and 21.3%, respectively. Children with higher Pb levels were associated with earlier bedtime and fewer sleep hours than children with lower Pb levels. Additionally, it was demonstrated that each 1 µg/dL increase in Pb blood levels was positively associated with lower physical activity [88]. Consistent with these reports, a recent study in 2–4-year-old children (named as the most vulnerable age for Pb toxicity since it appears to be a critical period for intelligence and academic achievement), showed that blood Pb levels were negatively correlated with development quotients of adaptative behavior, gross and fine motor performance, language development, and individual social behavior [11]. Motor dysfunction is an additional detrimental effect of Pb exposure. Bhattacharya et al. showed that low to moderate Pb exposure (~5.9 μg/dL) in early childhood induces impairment on the maturation of postural balance, while higher Pb levels (6.5 μg/dL) have been associated with more severe motor dysfunction including problems with postural balance, gait, and locomotor activities [89,90].
A study in 1979 determined that children with high dentine Pb levels showed a lower score on the Wechsler Intelligence Scale for Children compared with children with low dentine Pb levels. In particular, behavioral effects such as the frequency of non-adaptive classroom behavior was related to dentine Pb levels [91]. In this context, a retrospective cohort study showed that high-Pb bone subjects (7–11 years old) were more likely to obtain worse scores regarding a self-reported antisocial behavior scales with a strong association between higher Pb bone levels and an increased risk for aggression and delinquency behaviors in 11-year-old boys [92]. Furthermore, it was demonstrated that cumulative prenatal Pb exposure increased the likelihood to exhibit difficult temperament, this effect being even higher when the mother had higher prenatal depression scores [93]. Notably, maternal self-esteem is associated with better neurodevelopmental test scores in Pb-exposed children [94]. Supporting this evidence, a study based on structural equation models showed that the presence of an enriched home environment, for instance maternal support for the child’s schoolwork and extracurricular activities, seems to moderate the effects of Pb in cognition and behavior on first-grade elementary school children living in a Mexican Pb smelter community [95].
Biochemical changes have also been characterized in those children exposed to a source of Pb intoxication. In the case of children who have some contact with a source of Pb exposure in mechanic or painting workshops high Pb levels in the blood (>5 µg/dL) were found; additionally, they presented a blood increase of malondialdehyde (MDA) levels and a decrease in vitamin E levels compared with the children who had Pb blood levels less than 5 µg/dL, suggesting the prevalence of oxidative environment induced by Pb exposure [96]. Similarly, a study carried out in children (3–12 years) with neurological disorders (cerebral palsy, seizures, and encephalopathy) showed that blood Pb levels were significantly higher in children with seizures (15.52 µg/dL), cerebral palsy (17.97 g/dL), and encephalopathy (24.51 µg/dL) compared with the control group (10.37 µg/dL). Additionally, higher Pb levels in the blood had an increase in MDA and a reduction in GSH levels and δ-aminolevulinic acid dehydratase activity [20]. Among the consequences of Pb exposure, alterations in cellular metabolism have also been reported. Meng and coworkers showed, using 1H magnetic resonance spectroscopy (MRS), a reduction in neuronal density, mitochondrial and phosphate metabolism, and a membrane turnover in four brain regions (right and left frontal, left and right hippocampus) from Pb-exposure children when compared to same age matched-controls [97].

2.3. Adulthood Pb Exposure

Although the effect of Pb is more severe in children, the consequences can be persistent even in adulthood. In this context, 35 adults exposed to Pb during the first four years of childhood were evaluated 50 years after poisoning. The subjects exposed to Pb during childhood had an inferior performance in cognitive tasks when they were compared against the control group; notably, their occupational status was related to their deficit in the neuropsychological functioning of everyday life. Therefore, this study suggested that childhood exposure to Pb can be sufficient to produce cognitive deficits in adulthood, despite the cessation of Pb exposure [8].
As mentioned above, Pb exposure during early life has severe effects on cognitive functions, but it also has effects during adulthood, mainly due to occupational activity and environmental exposure. It is important to consider that elderly people nowadays were exposed to high levels of Pb in the environment due to the extensive use of this metal in the past. In this context, it has been shown that a higher osseous Pb content is associated with worse cognitive function in community-dwelling elderly adults (50–70 years). This association was shown to be diminished after an adjustment regarding years of education, wealth, and race/ethnicity [98]. Additionally, osseous Pb concentration was associated with a higher risk for hypertension in older people [99]. Interestingly, when a similar population was evaluated for the additional impact of the neighborhood psychosocial hazards on the Pb-cognitive effects, it was found that the association between osseous Pb and cognitive dysfunctions is exacerbated by the environmental stress [1]. Additionally, it has been found that olfactory recognition deficits are associated with cumulative Pb exposure in a cohort of elderly men from a Boston area community [100]. Similar effects were found in industrial chemical workers (mean age: 41.3 ± 7.8 years; length of Pb exposure: 8.38 ± 6 years), who showed a worse olfactory function compared with the controls [101].
A descriptive study performed in retired former female workers who had worked in plants producing Pb batteries showed reduced activity in distributed cortical networks, compared to the control group. In addition, Pb-exposed workers showed a reduced activation in the dorsolateral prefrontal cortex and the ventrolateral prefrontal cortex compared to controls, suggesting that memory deficits could be attributable to the deficient neural activation because of Pb exposure [19]. According to this evidence, it was shown by MRS using the metabolic marker ratio N-acetylaspartate:creatinine that chronic Pb-exposure cause neuronal loss and correlates with the working memory/executive dysfunction in retired painters twin brothers (71 years old; bone Pb: Twin 1: 343 + 9.4 µg/g and Twin 2: 119 + 8.8 µg/g) [18]. An additional study in workers from a battery recycling plant showed that occupational Pb exposure results in impairment of certain cognitive abilities such as executive functions and short-time memory in workers with moderate to high Pb levels (24–76 µg of Pb/dL) [102].
In addition to the cognitive alterations described, there are reports where Pb levels, present in the blood or bones, have been related to the development of pathologies such as depression, bipolar disorder, anxiety disorders, or schizophrenia in adults [103,104,105,106]. However, most of these associations are only epidemiological, and more studies are necessary to understand the role of Pb in the pathophysiology of these disorders [107]. On the other hand, although there is evidence that chronic Pb poisoning seems to be related to decreased cognitive performance, there are still no formal longitudinal epidemiological studies that demonstrate an association between previous exposure to Pb and the future risk of developing Alzheimer’s disease or other dementias, but experimental studies seem to show that multiple mechanisms of damage are common between Pb-neurotoxicity and Alzheimer’s disease [108].
As mentioned above, environmental and occupational exposure to inorganic Pb persists to be a serious public health problem mainly because: (1) even at lower concentrations Pb produces several cognitive consequences; and (2) elderly people represent the population mostly chronically exposed to Pb, and thus they may be more prone to present abnormal cognitive aging performance due to the accumulation of Pb. The challenge is to identify the mechanisms by which this metal exerts its toxic actions in the CNS and then integrate them, in order to develop potential strategies to counteract these harmful effects and improve long-term cognitive development. To accomplish this latter purpose, these mechanisms have been extensively studied through diverse experimental models, both in vivo and in vitro, and they are summarized in the following sections.

3. Mechanisms Related to Cognitive Impairment Induced by Pb Exposure in Experimental Models

Although it is well established that even low Pb exposure levels result in long-lasting detrimental effects on children’s intellectual and cognitive function, the mechanisms involved in this process are not completely clear. However, several experimental models provide evidence of cellular mechanisms and molecular targets, generating therapeutic opportunities. Experimental studies conceived to know more about the effects and mechanism involved in Pb toxicity, specifically in the CNS, have been implemented aiming to establish causality between the cognitive dysfunction induced by this heavy metal with converging factors such as redox and energetic homeostasis alterations, calcium dynamics and signaling variations, neurotransmission changes, and morphological and histological alterations (Figure 2). All of these are suggested as potential new targets to ameliorate Pb neurotoxicity.

3.1. Neurotransmission and Long-Term Potentiation (LTP) Impairment by Pb Toxicity

The precise mechanisms that explain deleterious effects of Pb on cognition during the neurodevelopment are diverse and not fully addressed yet. However, experimental studies targeting the NMDA receptor (NMDAr) and thus its central role in brain development, synaptic plasticity, and learning and memory have produced wide-ranging literature [109]. Extensive in vitro evidence from neural cell cultures have shown that Pb is a selective and potent non-competitive antagonist of the NMDAr [110,111,112,113]. Additionally, a differential regulation in NMDAr subunits has been reported in animals exposed to Pb during early stages of life; Pb increases hippocampal NR1 subunit expression (at 14 and 21 days old) and downregulates NR2A subunit expression in the pyramidal and granule cell layers of the hippocampus; these disruptions may induce long-lasting changes on hippocampal synaptic plasticity triggering performance impairments seen in spatial learning task of rats exposed to Pb during early life [114]. As mention above, NMDAr subunits play critical roles in hippocampal synaptic plasticity and their alterations are associated with a defective long-term potentiation (LTP) process [115]. Toscano and co-workers showed that Pb exposure during rat development results in an increased expression of NR2B-containing NMDAr complex, thus maintaining a greater proportion of NMDAr complexes in an NR1/NR2B immature form similar to those found in nascent synapses. Therefore, Pb prevents the switch of NR2B- to NR2A-containing NMDAr complexes and results in altered excitatory postsynaptic current amplitude, a decrease in the calcium influx, and impaired synaptic plasticity [116].
In addition to this experimental evidence, Pb can alter the LTP through interference with neurotransmitter systems, particularly those that depend on cellular calcium, since Pb acts as a calcium mimic therefore altering all calcium-dependent processes [117,118]. It has been demonstrated that Pb decreases GABA release in developing rat hippocampal slices possibly by presynaptic calcium channels blocked [119]. Neurotransmission of glutamate is also altered by Pb through its selective-blockade action on presynaptic N-type Ca2+ channels, hence reducing the action potential-dependent release of both glutamate and GABA from hippocampal neurons [120]. Furthermore, Pb exposure reduces both voltage-activated calcium channel currents (VACCCs) and NMDA-activated channel currents (NACCs) through the receptor/channel complex in cultured rat dorsal root ganglion neurons [121]. Conversely to the extracellular effect of Pb on calcium channels and considering that Pb transport is through the L-type calcium channels and can be accumulated within the cells, it has been demonstrated in bovine adrenal chromaffin cells that Pb can also alter calcium channel activity intracellularly [122]. Intracellular Pb promotes Ca2+ currents by attenuating the Ca2+-dependent steady state inactivation of calcium channels, therefore disrupting calcium signaling after chronic exposure of Pb intracellularly [123]. Experimental evidence from in vitro experiments using hippocampal synaptosomes demonstrated that the spontaneous neurotransmitter release of acetylcholine (Ach) induced by Pb is apparently due to either an increase in intraneuronal ionized calcium or the stimulation of Ca2+-activated molecules mediating neurotransmitter release [124]. According to this idea, it has been described that Pb affects cellular mechanism related to neurotransmitter release. This hypothesis was supported by experimental evidence using Pb at nanomolar concentration showing that Pb can bind to the same site as Ca2+ in the synaptic vesicle-associated to protein synaptotagmin 1 consequently inhibiting membrane fusion and interfering with neurotransmitter release [125]. Additionally, in vitro experiments using isolated synaptic vesicles from rat brains showed that Pb (10 µM) enhanced calmodulin-dependent synaptic vesicle protein phosphorylation promoting acetylcholine release. However, ex-vivo experiments starting from Pb-exposed animals showed a reduction of acetylcholine release mediated by Ca2+/calmodulin in synaptic vesicles isolated from these animals [126]. The calcium/calmodulin-dependent protein kinase II (CaM kinase II), a kinase that phosphorylates associated-synaptic proteins, is also a Pb target. Toscano and co-workers demonstrated that rats exposed to Pb during development decreased in 41% CaM kinase II activity and suggested an association with learning and memory impairments seen in this in vivo model [127]. Furthermore, evidence supporting alterations in presynaptic neurotransmitter release as a consequence of Pb exposure has also been demonstrated using hippocampal neurons. Pb exposure during synaptogenesis resulted in an increase of the number of nascent presynaptic docking sites; however, many of these presynaptic contact sites lack the soluble NSF-attachment protein receptor complex involved in vesicular exocytosis. Pb also reduces the expression of vesicular proteins critical for vesicular contact and release (synaptophysin and synaptobrevin), leading to an impaired vesicular release and a reduction of the number of fast-releasing sites in glutamatergic and GABAergic neurons [128].
On the other hand, synaptic transmission modulated by nicotinic receptors (nAChRs) is also sensitive to inhibition by Pb [129]. Pb blocks the action potential-dependent transmitter release mediated by activation of α4β2 and α7 nAChRs via protein kinase C in hippocampal neurons [130], and there is also evidence of the direct interaction of Pb with these receptors [129,131]. According to these data, recently, it has been reported in mice that a chronic Pb exposure during the lactation period raises brain levels of kynurenic acid (KYNA). KYNA is an antagonist of NMDAr and a negative allosteric modulator of α7 nAChRs. This study provided evidence of the involvement of tryptophan catabolism and kynurenine pathway as a new mechanism of Pb toxicity affecting neurotransmission and impairing cognitive performance [132].
Therefore, scientific research has provided the diversity and complex mechanisms by which Pb impair cognitive functions (Figure 2). The challenge for the new research is to consider these mechanisms as dependent factors, and that they could converge and influence neuronal activity simultaneously and, as a consequence, be critical in the shaping of functional neural circuits during development and throughout adult life.

3.2. Behavioral and Structural Alterations Induced by Pb Exposure in Animal Models

In animal models, neurobehavioral deficits induced by prenatal, preweaning, and postweaning Pb exposure persist until adulthood. It has been described that Pb exposure alters the locomotor activity [133,134], increases aggressive behavior [135], and causes motor coordination impairment [136], response inhibition deficits, deficient task solving capacities [137,138], and learning and memory impairment [132,139,140,141].
A study carried out in Cynomolgus monkeys exposed to Pb from birth to 200 days of age showed impairments on a discrimination reversal task (nonspatial form discrimination, nonspatial colour discrimination, and nonspatial form discrimination) at three years of age with blood Pb concentration of 11–13 µg/dL at the time of testing [142]. In a different experimental approach, Macaca fascicularis monkeys were exposed to Pb acetate (2000 µg/kg/day) during early life (100–270 days); then, they were tested during infancy (2–3 years old) on a series of nonspatial discrimination reversal tasks that resulted in the lack of or only marginal deficits. However, as adults, they presented performance alterations on a differential reinforcement of low rate (DRL) schedule of reinforcement task, and four or five treated monkeys were also unable to learn the visual discrimination task without a remedial training procedure [143,144]. These results confirm that continuous exposition to Pb during early life impacts cognitive performance in adulthood. Additionally, Muller et al. evaluated how a single dose of Pb administered into the yolk sac on the fifth incubation day of the Gallus domesticus can affect the behavior and the brain tissue in the first post-natal week. Lead exposure (28 µg Pb acetate/100 µL in the yolk sac) induced Pb deposition in both mesencephalon and cerebellum of newborn chicks. Lead-induced deficits on motor behavior showing abnormal movements in chicks during the first postnatal week were found to be related to Pb deposition in the cerebellar tissue during embryonic development [145]. In line with these findings, Petit and Alfano (1979) demonstrated that the hyperactivity and deficits shown in a maze performance test in rats exposed to PbCO3 (high Pb 4%) during PD1 to PD25 was absent in rats exposed to low Pb (0.4%), showing no differences with control in both tasks. However, both groups (low and high Pb) showed a deficit in passive avoidance cognition performance test; interestingly, when these rats were exposed to environmental enrichment, low Pb-exposed rats increased passive avoidance latencies above control values, but it had no effect in high Pb-exposed rats [146].
As mentioned above, cognitive alterations induced by Pb are related to its accumulation, mainly in the astroglia [147]. The morphological changes in the fine structure of neurons and their synaptic connections have been observed in brains exposed to Pb during the prenatal and early life, which is also associated to a reduction in brain weight, reduction in cerebellum size, and a reduction of thickness of both cerebral cortex and hippocampus [148,149]. Postnatal Pb exposure affects cortical neural ontogenesis [150] and produces deficient dendritic development in both cerebellar Purkinje [151] and neocortical pyramidal cells [152] resulting in a reduction in the number and rate of maturation of neocortical synapses [146]. Pb also affects myelination; rats exposed to Pb pre- and neonatally showed abnormal myelination in the cerebral cortex and vascularization in cerebral cortex and cerebellum [153]. Lead damage has been proven to be even at the ultrastructural level since hippocampal neurons Pb-exposed showed elongated and shrunken mitochondria, irregular nuclei, and swollen synapses with thickened vesicles in the presynaptic cleft. These changes were associated with alterations in synaptic proteins including syntaxin-1, synaptotagmin-1, and SNAP25 [154,155]. Long-term effects in structural plasticity within the hippocampus have also been described in rats exposed to Pb-acetate (0.2%), from the gestation until PD87, where a decrease in the survival of newly generated granule cells in dentate gyrus (around 50% vs. control) was found to be related to a reduction capacity for structural plasticity in the adult hippocampus. However, when rats were exposed to Pb during gestation to PD21, no significant changes were found (around 20% vs. control), suggesting that chronic Pb exposure is necessary to affect neurogenesis [156]. Additionally, Jaako-Movits and coworkers showed that rats PD80 exposed to Pb acetate (0.2%) in drinking water, from PD1 to PD30, increased the level of anxiety and inhibition of contextual fear conditioning. Moreover, when neuronal proliferation was tracked administering BrdU, the number of BdrU-positive cells in the dentate gyrus decreased in the Pb group (around 23%) compared to the control group. Approximately 28.7% of the BdrU positive cells were colocalized with calbindin, a calcium binding-protein and a marker for mature neurons, in the Pb group, whereas the control expressed 40.6%. Additionally, a significantly higher proportion of BdrU positive cells of young not fully differentiated neurons and a higher proportion of newborn cells differentiated into astroglia were found in the Pb group (35.4%) compared to the control group (12%). These findings show that early Pb exposure affects neurogenesis, alters the pattern of differentiation of newly born hippocampal cells, and suggests that these alterations may contribute to behavioral and cognitive impairments characterized in adulthood [157].

3.3. Redox and Energetic Imbalance Induced by Pb Toxicity

One of the mechanisms attributed to Pb neurotoxicity involves the generation of reactive oxygen species (ROS) and the reduction of endogenous antioxidants. This heavy metal can inactivate various antioxidant enzymes through its binding to thiol functional groups, contributing to exacerbate a pro-oxidant environment. A recent meta-analysis study that included 108 articles showed that mice are more susceptible than rats to the oxidative stress induced by Pb exposure. Additionally, this study demonstrated that an increasing Pb concentration shows a positive correlation with glutathione disulfide (GSSG), ROS, and glutathione peroxidase (GPx) and a negative correlation with glutathione reductase (GR), superoxide dismutase (SOD), and glutathione S-transferase (GST) (enzymes involved in the control of redox status). Thus, it confirmed that a high dose of Pb resulted in an oxidant environment and that the damage generated by this heavy metal is time and dose-dependent [158].
In this context, it was observed that prenatal exposure to Pb acetate, beginning on Day 5 of gestation until 14 days after birth, causes Pb accumulation in the brain and cerebellum of newborn rats. Additionally, rats exposed to Pb during gestation and in early postnatal days showed an increased brain lipid peroxidation levels in male and female newborns (2 and 2.5 folds, respectively) [159]. Moreover, the brain antioxidant enzyme activities of SOD1, SOD2, GPx, and CAT were exhibited after exposure to 0.3% Pb acetate in drinking water during gestation and until 21 postnatal days (PD) [160]. An additional study found a decrease in SOD activity and an increase in GPx activity in the pups forebrain cortex, cerebellum, and hippocampus in a dose-dependent manner after dams were exposed to Pb (50, 100, and 500 ppm) [161]. Pb also decreases antioxidants enzyme activities due to the high Pb affinity to sulfhydryl groups or metal cofactors critical for these enzymes; for example, Pb competes and replaces Cu and Zn in their binding sites [162,163]. Experimental studies using juvenile rockfish Sebastes schlegelii exposed to Pb dietary (0, 120, and 240 mg/L) for four weeks increased SOD and GST activity, while GSH levels decreased in the liver and gills [164]. In Drosophila, it was demonstrated that Pb exposure induces iron deficiency, and this effect was modulated by ROS production, since iron reduction was mitigated when ROS were diminished by N-acetylcysteine addition [165].
On the other hand, it has been shown that younger astroglia accumulates more Pb than old astroglia and neuronal cells; however, neurons are more susceptible to Pb toxicity than astrocytes [166,167]. Recently, the response of primary microglia and astrocytes to Pb toxicity was evaluated. In this study, both microglia and astrocytes were incubated for 24 h with Pb (15–100 µM) and showed decrease in cell viability; however, Pb intracellular levels were higher in astrocytes than in microglia. Intriguingly, microglia but no astrocytes showed a significant increase in ROS production and GSH levels reduction [168]. Additionally, as part of an antioxidant response in microglia, the nuclear factor erythroid 2-related factor 2 (Nrf2) protein (a regulator of cytoprotective factors against oxidative stress) increased in a dose-dependent manner, along with mRNA expression and protein levels of heme-oxygenase-1 (HO-1) and quinone oxidoreductase-1 (NQO1) upregulation after Pb exposure. Moreover, when Nrf2 was silenced in microglia and then exposed to Pb, ROS production was higher and the cell viability decreases, suggesting that Nrf2 plays a protective role against Pb toxicity in microglia [168]. Parallelly, oxidative stress induced by Pb exposure has been shown, and, regardless of the activation of the Nrf2-ARE signaling pathway, oxidative DNA damage occurs and is exacerbated by promoter methylation of DNA repair genes in human lymphoblastoid TK6 cells [169]. Nrf2 protective role against oxidative stress induced by Pb has also been demonstrated in SH-Sy5Y cells. It was observed that Nrf2 content increased in the nucleus and decreased in the cytoplasm after 1 h of Pb exposure in SH-Sy5Y cells leading to increased Nrf2-ARE binding activity. Additionally, overexpression of Nrf2 in these cells exposed to Pb diminished ROS production and apoptosis while cell viability was increased; meanwhile, the silencing Nrf2 decreased Nrf2-regulated genes and protein expression in response to Pb [170].
Mitochondrial dysfunction is also involved in Pb toxicity. It has been found that liver mitochondria exposed both to different times and concentrations of Pb (0–80 µM) increases ROS production and mitochondria lipid peroxidation while GSH levels decrease in a concentration and time-dependent manner. Furthermore, it has been shown that Pb intoxication induces alterations in the mitochondrial energy metabolism decreasing ATP levels and oxygen uptake as well as decreasing cytochrome oxidase, succinate dehydrogenase and NADH dehydrogenase activities [171]. Besides, it was observed that Pb decreases the enzyme activities of the mitochondrial respiratory chain complexes, being the complex III the most susceptible to Pb exposure through a decrease in ATP levels, mitochondrial permeability transition pore (MPTP) opening and the release of cytochrome c [172]. Moreover, Pb causes ATP reduction affecting the physiological functions of Na+-K+-ATPase activity and Ca+2-ATPase activity [173]. In this context, it has been shown in primary cultured cerebellar granule neurons obtained from rats exposed prenatally to Pb that Pb decreases ATP levels and mitochondrial membrane potential, inhibits Na+/K+ ATPase activity, and increases intracellular and mitochondrial ROS synthesis [174]. It was recently shown that peroxisome proliferator-activated receptor-γ coactivator 1α (PGC1α) regulates the mitochondrial biogenesis and dynamics in neurons exposed to Pb. PGC1α expression increases after Pb exposure, and it was associated to structural alteration in mitochondrial filaments and dysregulation of genes responsible for mitochondrial dynamics. Dysregulation of PGC1α expression renders more susceptible cells to Pb, leading to mitochondrial fragmentation and cell death [175]. These mitochondrial alterations could also be related to the Pb ability to influence calcium pathways within the endoplasmic reticulum through BAP31 protein. BAP31 is an integral membrane protein located in the endoplasmic reticulum where it is cleaved by caspase-8, and then it stimulates Ca2+-dependent mitochondrial fission and enhances pro-apoptotic signals through the interaction between endoplasmic reticulum and mitochondria. BAP31 protein levels increase after Pb exposure, and BAP31 knockdown reduces the cell signaling death pathways induced by this metal [175,176]. Moreover, a recent study showed that Pb induces apoptosis via the mitochondria pathway in both chicken brain tissues and embryonic neurocytes. This heavy metal can decrease mRNA and protein expression of Bcl-2 (an anti-apoptotic protein) while increase mRNA and protein expression of p53, Bax, Cyt C, and caspase-3 [177].
Furthermore, Gu and co-workers showed that autophagy disruption is another target in Pb neurotoxicity [178]. It has been shown in PC12 cells that Pb increases the expression of LC3-II, an important marker for autophagy, and shows a positive correlation with a decrease in cell viability. Additionally, SQSTM1/p62 (an autophagic substrate) increases after Pb exposure, suggesting autophagy inhibition. Autophagy inhibition by Pb is evidenced by autophagosomes accumulation, since it interferes with the autophagic flux (autophagosomes formation, fusion of autophagosomes with lysosomes, and the breakdown and release of resulting molecules back into the cytosol) and directly with the number, acidification, or size of the lysosomes, leading to the inhibition of the genesis and the critical function of lysosomes in the autophagic process [178].
As mentioned above, Pb can substitute calcium and act as a ligand for the calcium-binding sites and disrupt the downstream signaling effector proteins, mainly protein kinase C and calmodulin, contributing to its neurotoxicity [179]. Indeed, experimental studies in broken cell preparation of immature brain micro-vessels have shown that Pb activates protein kinase C (modulator of cellular proliferation and differentiation) [180] and inhibits Na+/K+-ATPase, thus interfering with energy metabolism. Additionally, it was shown that Pb rise the intracellular free calcium in a dose-dependent manner and is mediated through the activation of PKC. Interestingly, in this study, Pb was proven to be a potent activator of PKC at concentrations 3000 times lower than those of Ca2+; these observations suggest that toxic sequelae of Pb exposure may include alterations in the PKC signal transduction system within the cells [181]. Recently, it has been demonstrated that Pb binds downstream regulatory element antagonist modulator (DREAM) protein displacing Ca2+ from the EF-hands because of its higher affinity (50 times more than Ca2+) for the Ca2+-binding sites in DREAM. Pb modulates DREAM interaction with intracellular partners, controlling gene expression for apoptosis, learning, and memory process [182]. Likewise, Pb binds to human phospholipid scramblase 3 (hPLSCR3), another calcium-dependent mitochondrial membrane protein involved in the apoptosis signaling. The Pb-binding to hPLSCR3 in the calcium-binding motif presents higher affinity than Ca2+ and is responsible for phospholipid translocation to the outer mitochondrial membrane [183].
On the other hand, it has been shown that Pb exposure (pre- and postnatal) increases the expression and activity of glycogen synthase kinase 3β in the rat brain and decreases the expression of glycogen synthase and glycogen phosphorylase, contributing to the dysregulation of glycogen metabolism, thereby reducing glucose availability and triggering brain energy metabolism alterations [184,185].
Several in vitro and in vivo experiments shown that exposure to Pb alters both the calcium and redox homeostasis, impair mitochondrial function, and consequently alter brain ATP synthesis. These factors, related intrinsically, can converge and could, in turn, limit many cellular functions including neurotransmitter vesicular release, thus impacting the storing and release of neurotransmitters and then compromising cognitive and behavioral processes (Figure 2).

3.4. Strategies Used against Pb Neurotoxicity in Experimental Models

Pb toxicity has many targets and different experimental strategies have been used to decrease its toxicity. Many of these strategies are focused on modulating the redox environment, and some of them have an impact on behavioral and cognitive performance (Table 3). In this context, El-Missiry reported that rats receiving an intramuscular injection of Pb acetate (10 mg/kg) for seven days but pre-treated with melatonin (30 mg/kg) reduced the inhibitory effect of Pb on glutathione reductase, glutathione-S-transferase, SOD, and CAT, as well as in nonenzymatic antioxidants such as total sulfhydryl groups and glutathione (GSH) [186].
An additional study showed that the simultaneous administration (21 days) of melatonin to rats exposed to Pb attenuated the increase in lipid peroxidation products and restored GSH levels and SOD activity, reduced the morphological damage within the hippocampus and the striatum, and prevented the neuronal density reduction induced by Pb exposure [206]. The beneficial effects of calcium and zinc were used as strategy against the oxidative stress induced by Pb exposure. Mice were exposed to 0.2% Pb during lactation and supplemented with calcium or zinc in the same period; those treated with calcium or zinc showed recovery in the antioxidant enzymes activity and decreased both lipid peroxidation and free radicals formation [163]. Additional antioxidant strategies using N-acetylcysteine (NAC) administration following Pb exposure resulted in a significant decrease in the brain lipid peroxidation (~70% compared to the Pb-treated group). This effect in lipid peroxidation was attributed to NAC’s ability to enhance the antioxidants defenses by acting as a major precursor for thiols groups as it gets deacetylated to cysteine. Additionally, NAC increases the CAT and SOD activity [162]. In concordance, the Centella asiatica leaf extract shows protection in a model of behavioral impairment induced by Pb exposure during lactation in rats [189].
Many molecules have been demonstrated to prevent some of the toxic mechanisms induced by Pb; however, a combination of different treatments should be considered, as this heavy metal has many targets and the intensity of its harmful effects depends on the time duration and doses, administration route, and the experimental animal model used. In future studies, it would be pertinent to evaluate molecules that affect more than one target for Pb neurotoxicity and to reinforce these studies with behavioral tests that allow determining if the effect of the therapy mitigates the cognitive impairment induced by this heavy metal.

4. Conclusions

As we shown throughout this review, cognitive alterations induced by Pb are evident consequences of its toxicity; however, Pb toxicity also involves diverse converging mechanisms that are closely related, which lead to cellular dysfunction and neuronal death that ultimately trigger cognitive alterations. This suggests that new research should consider that these mechanisms are acting synergistically within the same biologic pathways to induce neurotoxicity and the challenge is to find therapeutic strategies that have an impact on more than one of these mechanisms to prevent and reduce the cognitive dysfunction induced by Pb exposure.

Author Contributions

All authors contribute substantially for current review. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by CONACYT Grant 286885 (V.P.C.).

Acknowledgments

This work was supported by CONACYT Grant 286885 (V.P.C.). Daniela Ramírez Ortega is a scholarship holder of CONACyT-México (308054) in the Programa de Doctorado en Ciencias Bioquímicas at the Universidad Nacional Autónoma de México. S.G.M. was supported by Recursos Fiscales para Investigación Program from the Instituto Nacional de Pediatría INP 031/2018, 038/2019; J.M.Q. was supported by Cátedras CONACYT (2184) project number 2057.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Glass, T.A.; Bandeen-Roche, K.; McAtee, M.; Bolla, K.; Todd, A.C.; Schwartz, B.S. Neighborhood psychosocial hazards and the association of cumulative lead dose with cognitive function in older adults. Am. J. Epidemiol. 2009, 169, 683–692. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Welton, M.; Rodriguez-Lainz, A.; Loza, O.; Brodine, S.; Fraga, M. Use of lead-glazed ceramic ware and lead-based folk remedies in a rural community of Baja California, Mexico. Glob. Health Promot. 2018, 25, 6–14. [Google Scholar] [CrossRef] [PubMed]
  3. Kordas, K.; Ravenscroft, J.; Cao, Y.; McLean, E.V. Lead Exposure in Low and Middle-Income Countries: Perspectives and Lessons on Patterns, Injustices, Economics, and Politics. Int. J. Environ. Res. Public Health 2018, 15, 2351. [Google Scholar] [CrossRef] [Green Version]
  4. Obeng-Gyasi, E. Sources of lead exposure in various countries. Rev. Environ. Health 2019, 34, 25–34. [Google Scholar] [CrossRef] [PubMed]
  5. O’Flaherty, E.J. Physiologically based models for bone-seeking elements. III. Human skeletal and bone growth. Toxicol. Appl. Pharmacol. 1991, 111, 332–341. [Google Scholar] [CrossRef]
  6. Papanikolaou, N.C.; Hatzidaki, E.G.; Belivanis, S.; Tzanakakis, G.N.; Tsatsakis, A.M. Lead toxicity update. A brief review. Med. Sci. Monit. 2005, 11, RA329–RA336. [Google Scholar]
  7. Goyer, R.A.; Mahaffey, K.R. Susceptibility to lead toxicity. Environ. Health Perspect. 1972, 2, 73–80. [Google Scholar] [CrossRef]
  8. White, R.F.; Diamond, R.; Proctor, S.; Morey, C.; Hu, H. Residual cognitive deficits 50 years after lead poisoning during childhood. Br. J. Ind. Med. 1993, 50, 613–622. [Google Scholar] [CrossRef] [Green Version]
  9. Nagpal, A.G.; Brodie, S.E. Supranormal electroretinogram in a 10-year-old girl with lead toxicity. Doc. Ophthalmol. 2009, 118, 163–166. [Google Scholar] [CrossRef]
  10. Lidsky, T.I.; Schneider, J.S. Lead neurotoxicity in children: Basic mechanisms and clinical correlates. Brain 2003, 126, 5–19. [Google Scholar] [CrossRef]
  11. Hou, S.; Yuan, L.; Jin, P.; Ding, B.; Qin, N.; Li, L.; Liu, X.; Wu, Z.; Zhao, G.; Deng, Y. A clinical study of the effects of lead poisoning on the intelligence and neurobehavioral abilities of children. Theor. Biol. Med. Model. 2013, 10, 13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Sciarillo, W.G.; Alexander, G.; Farrell, K.P. Lead exposure and child behavior. Am. J. Public Health 1992, 82, 1356–1360. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Winneke, G.; Kraemer, U. Neuropsychological effects of lead in children: Interactions with social background variables. Neuropsychobiology 1984, 11, 195–202. [Google Scholar] [CrossRef] [PubMed]
  14. Mostafa, G.A.; El-Shahawi, H.H.; Mokhtar, A. Blood lead levels in Egyptian children from high and low lead-polluted areas: Impact on cognitive function. Acta Neurol. Scand. 2009, 120, 30–37. [Google Scholar] [CrossRef] [PubMed]
  15. Herman, D.S.; Geraldine, M.; Venkatesh, T. Evaluation, diagnosis, and treatment of lead poisoning in a patient with occupational lead exposure: A case presentation. J. Occup. Med. Toxicol. 2007, 2, 7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Barth, A.; Schaffer, A.W.; Osterode, W.; Winker, R.; Konnaris, C.; Valic, E.; Wolf, C.; Rudiger, H.W. Reduced cognitive abilities in lead-exposed men. Int. Arch. Occup. Environ. Health 2002, 75, 394–398. [Google Scholar] [CrossRef] [PubMed]
  17. Maizlish, N.A.; Parra, G.; Feo, O. Neurobehavioural evaluation of Venezuelan workers exposed to inorganic lead. Occup. Environ. Med. 1995, 52, 408–414. [Google Scholar] [CrossRef] [Green Version]
  18. Weisskopf, M.G.; Hu, H.; Mulkern, R.V.; White, R.; Aro, A.; Oliveira, S.; Wright, R.O. Cognitive deficits and magnetic resonance spectroscopy in adult monozygotic twins with lead poisoning. Environ. Health Perspect. 2004, 112, 620–625. [Google Scholar] [CrossRef] [Green Version]
  19. Seo, J.; Lee, B.K.; Jin, S.U.; Park, J.W.; Kim, Y.T.; Ryeom, H.K.; Lee, J.; Suh, K.J.; Kim, S.H.; Park, S.J.; et al. Lead-induced impairments in the neural processes related to working memory function. PLoS ONE 2014, 9, e105308. [Google Scholar] [CrossRef]
  20. Ahamed, M.; Fareed, M.; Kumar, A.; Siddiqui, W.A.; Siddiqui, M.K. Oxidative stress and neurological disorders in relation to blood lead levels in children. Redox Rep. 2008, 13, 117–122. [Google Scholar] [CrossRef]
  21. Ziegler, E.E.; Edwards, B.B.; Jensen, R.L.; Mahaffey, K.R.; Fomon, S.J. Absorption and retention of lead by infants. Pediatr. Res. 1978, 12, 29–34. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Rabinowitz, M.B.; Kopple, J.D.; Wetherill, G.W. Effect of food intake and fasting on gastrointestinal lead absorption in humans. Am. J. Clin. Nutr. 1980, 33, 1784–1788. [Google Scholar] [CrossRef] [PubMed]
  23. Gulson, B.L.; Mahaffey, K.R.; Jameson, C.W.; Mizon, K.J.; Korsch, M.J.; Cameron, M.A.; Eisman, J.A. Mobilization of lead from the skeleton during the postnatal period is larger than during pregnancy. J. Lab. Clin. Med. 1998, 131, 324–329. [Google Scholar] [CrossRef]
  24. Choi, J.; Tanaka, T.; Koren, G.; Ito, S. Lead exposure during breastfeeding. Can. Fam. Physician 2008, 54, 515–516. [Google Scholar]
  25. Counter, S.A.; Buchanan, L.H.; Ortega, F. Neurophysiologic and neurocognitive case profiles of Andean patients with chronic environmental lead poisoning. J. Toxicol. Environ. Health A 2009, 72, 1150–1159. [Google Scholar] [CrossRef] [PubMed]
  26. Pottier, G.; Viau, M.; Ricoul, M.; Shim, G.; Bellamy, M.; Cuceu, C.; Hempel, W.M.; Sabatier, L. Lead Exposure Induces Telomere Instability in Human Cells. PLoS ONE 2013, 8, e67501. [Google Scholar] [CrossRef] [Green Version]
  27. Kasperczyk, S.; Dobrakowski, M.; Kasperczyk, A.; Ostalowska, A.; Birkner, E. The administration of N-acetylcysteine reduces oxidative stress and regulates glutathione metabolism in the blood cells of workers exposed to lead. Clin. Toxicol. (Phila.) 2013, 51, 480–486. [Google Scholar] [CrossRef]
  28. Kim, P.; Leckman, J.F.; Mayes, L.C.; Feldman, R.; Wang, X.; Swain, J.E. The plasticity of human maternal brain: Longitudinal changes in brain anatomy during the early postpartum period. Behav. Neurosci. 2010, 124, 695–700. [Google Scholar] [CrossRef] [Green Version]
  29. Barry, P.S.I. A Comparison of Concentrations of Lead in Human Tissues. Br. J. Ind. Med. 1975, 32, 119–139. [Google Scholar] [CrossRef]
  30. Gross, S.B.; Pfitzer, E.A.; Yeager, D.W.; Kehoe, R.A. Lead in human tissues. Toxicol. Appl. Pharmacol. 1975, 32, 638–651. [Google Scholar] [CrossRef]
  31. Schroeder, H.A.; Tipton, I.H. The human body burden of lead. Arch. Environ. Health 1968, 17, 965–978. [Google Scholar] [CrossRef] [PubMed]
  32. Goyer, R.A. Transplacental transport of lead. Environ. Health Perspect. 1990, 89, 101–105. [Google Scholar] [CrossRef] [PubMed]
  33. Korpela, H.; Loueniva, R.; Yrjanheikki, E.; Kauppila, A. Lead and cadmium concentrations in maternal and umbilical cord blood, amniotic fluid, placenta, and amniotic membranes. Am. J. Obstet. Gynecol. 1986, 155, 1086–1089. [Google Scholar] [CrossRef]
  34. Ernhart, C.B.; Wolf, A.W.; Kennard, M.J.; Erhard, P.; Filipovich, H.F.; Sokol, R.J. Intrauterine exposure to low levels of lead: The status of the neonate. Arch. Environ. Health 1986, 41, 287–291. [Google Scholar] [CrossRef] [PubMed]
  35. Zhang, S.M.; Dai, Y.H.; Xie, X.H.; Fan, Z.Y.; Tan, Z.W.; Zhang, Y.F. Surveillance of childhood blood lead levels in 14 cities of China in 2004–2006. Biomed. Environ. Sci. 2009, 22, 288–296. [Google Scholar] [CrossRef]
  36. Wang, S.; Zhang, J. Blood lead levels in children, China. Environ. Res. 2006, 101, 412–418. [Google Scholar] [CrossRef]
  37. Gulson, B.; Taylor, A.; Eisman, J. Bone remodeling during pregnancy and post-partum assessed by metal lead levels and isotopic concentrations. Bone 2016, 89, 40–51. [Google Scholar] [CrossRef]
  38. Gulson, B.L.; Mizon, K.J.; Korsch, M.J.; Palmer, J.M.; Donnelly, J.B. Mobilization of lead from human bone tissue during pregnancy and lactation—A summary of long-term research. Sci. Total Environ. 2003, 303, 79–104. [Google Scholar] [CrossRef]
  39. Ettinger, A.S.; Roy, A.; Amarasiriwardena, C.J.; Smith, D.; Lupoli, N.; Mercado-Garcia, A.; Lamadrid-Figueroa, H.; Tellez-Rojo, M.M.; Hu, H.; Hernandez-Avila, M. Maternal blood, plasma, and breast milk lead: Lactational transfer and contribution to infant exposure. Environ. Health Perspect. 2014, 122, 87–92. [Google Scholar] [CrossRef]
  40. Neal, A.P.; Guilarte, T.R. Mechanisms of lead and manganese neurotoxicity. Toxicol. Res. (Camb.) 2013, 2, 99–114. [Google Scholar] [CrossRef]
  41. Baranowska-Bosiacka, I.; Kosinska, I.; Jamiol, D.; Gutowska, I.; Prokopowicz, A.; Rebacz-Maron, E.; Goschorska, M.; Olszowski, T.; Chlubek, D. Environmental Lead (Pb) Exposure Versus Fatty Acid Content in Blood and Milk of the Mother and in the Blood of Newborn Children. Biol. Trace Elem. Res. 2016, 170, 279–287. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Hanning, R.M.; Sandhu, R.; MacMillan, A.; Moss, L.; Tsuji, L.J.; Nieboer, E. Impact on blood Pb levels of maternal and early infant feeding practices of First Nation Cree in the Mushkegowuk Territory of northern Ontario, Canada. J. Environ. Monit. 2003, 5, 241–245. [Google Scholar] [CrossRef] [PubMed]
  43. Li, A.; Zhuang, T.; Shi, J.; Liang, Y.; Song, M. Heavy metals in maternal and cord blood in Beijing and their efficiency of placental transfer. J. Environ. Sci. (China) 2019, 80, 99–106. [Google Scholar] [CrossRef] [PubMed]
  44. Ozel, S.; Ozyer, S.; Aykut, O.; Cinar, M.; Yilmaz, O.H.; Caglar, A.; Engin-Ustun, Y. Maternal second trimester blood levels of selected heavy metals in pregnancies complicated with neural tube defects. J. Matern. Fetal Neonatal. Med. 2019, 32, 2547–2553. [Google Scholar] [CrossRef]
  45. Castro-Bedrinana, J.; Chirinos-Peinado, D.; Rios-Rios, E. Lead levels in pregnant women and newborns in la Oroya City, Peru. Rev. Peru. Med. Exp. Salud Publica 2013, 30, 393–398. [Google Scholar]
  46. Wojdon-Machala, H. Pattern of arterial blood pressure changes in repeated blood pressure determinations in a young female population. Pol. Tyg. Lek. 1976, 31, 441–444. [Google Scholar]
  47. Parajuli, R.P.; Fujiwara, T.; Umezaki, M.; Furusawa, H.; Ser, P.H.; Watanabe, C. Cord blood levels of toxic and essential trace elements and their determinants in the Terai region of Nepal: A birth cohort study. Biol. Trace Elem. Res. 2012, 147, 75–83. [Google Scholar] [CrossRef]
  48. Aelion, C.M.; Davis, H.T. Blood lead levels in children in urban and rural areas: Using multilevel modeling to investigate impacts of gender, race, poverty, and the environment. Sci. Total Environ. 2019, 694, 133783. [Google Scholar] [CrossRef]
  49. Ji, X.; He, H.; Ren, L.; Liu, J.; Han, C. Evaluation of blood zinc, calcium and blood lead levels among children aged 1–36 months. Nutr. Hosp. 2014, 30, 548–551. [Google Scholar] [CrossRef]
  50. Olympio, K.P.K.; Silva, J.; Silva, A.S.D.; Souza, V.C.O.; Buzalaf, M.A.R.; Barbosa, F., Jr.; Cardoso, M.R.A. Blood lead and cadmium levels in preschool children and associated risk factors in Sao Paulo, Brazil. Environ. Pollut. 2018, 240, 831–838. [Google Scholar] [CrossRef]
  51. Allen Counter, S.; Buchanan, L.H.; Ortega, F. Blood Lead Levels in Andean Infants and Young Children in Ecuador: An International Comparison. J. Toxicol. Environ. Health A 2015, 78, 778–787. [Google Scholar] [CrossRef] [PubMed]
  52. Yabe, J.; Nakayama, S.M.; Nakata, H.; Toyomaki, H.; Yohannes, Y.B.; Muzandu, K.; Kataba, A.; Zyambo, G.; Hiwatari, M.; Narita, D.; et al. Current trends of blood lead levels, distribution patterns and exposure variations among household members in Kabwe, Zambia. Chemosphere 2020, 243, 125412. [Google Scholar] [CrossRef] [PubMed]
  53. Seifu, S.; Tanabe, K.; Hauck, F.R. The Prevalence of Elevated Blood Lead Levels in Foreign-Born Refugee Children Upon Arrival to the U.S. and the Adequacy of Follow-up Treatment. J. Immigr. Minority Health 2020, 22, 10–16. [Google Scholar] [CrossRef]
  54. Caini, S.; Bendinelli, B.; Masala, G.; Saieva, C.; Assedi, M.; Querci, A.; Lundh, T.; Kyrtopoulos, S.A.; Palli, D. Determinants of Erythrocyte Lead Levels in 454 Adults in Florence, Italy. Int. J. Environ. Res. Public Health 2019, 16, 425. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Victory, K.R.; Braun, C.R.; de Perio, M.A.; Calvert, G.M.; Alarcon, W. Elevated blood lead levels in adults-Missouri, 2013. Am. J. Ind. Med. 2019, 62, 347–351. [Google Scholar] [CrossRef]
  56. Specht, A.J.; Lin, Y.; Xu, J.; Weisskopf, M.; Nie, L.H. Bone lead levels in an environmentally exposed elderly population in shanghai, China. Sci. Total Environ. 2018, 626, 96–98. [Google Scholar] [CrossRef]
  57. Batra, J.; Thakur, A.; Meena, S.K.; Singh, L.; Kumar, J.; Juyal, D. Blood lead levels among the occupationally exposed workers and its effect on calcium and vitamin D metabolism: A case-control study. J. Fam. Med. Prim. Care 2020, 9, 2388–2393. [Google Scholar] [CrossRef]
  58. Kasperczyk, S.; Dobrakowski, M.; Kasperczyk, A.; Machnik, G.; Birkner, E. Effect of N-acetylcysteine administration on the expression and activities of antioxidant enzymes and the malondialdehyde level in the blood of lead-exposed workers. Environ. Toxicol. Pharmacol. 2014, 37, 638–647. [Google Scholar] [CrossRef]
  59. Nouioui, M.A.; Araoud, M.; Milliand, M.L.; Bessueille-Barbier, F.; Amira, D.; Ayouni-Derouiche, L.; Hedhili, A. Biomonitoring chronic lead exposure among battery manufacturing workers in Tunisia. Environ. Sci. Pollut. Res. Int. 2019, 26, 7980–7993. [Google Scholar] [CrossRef]
  60. Abdulah, D.M.; Al-Dosky, A.H.A.; Mohammed, A.H. Lead and zinc exposure in the blood of workers in municipal waste management. Environ. Sci. Pollut. Res. Int. 2020, 27, 11147–11154. [Google Scholar] [CrossRef]
  61. Barton, J.C.; Conrad, M.E.; Harrison, L.; Nuby, S. Effects of calcium on the absorption and retention of lead. J. Lab. Clin. Med. 1978, 91, 366–376. [Google Scholar] [PubMed]
  62. Ragan, H.A. The bioavailability of iron, lead and cadmium via gastrointestinal absorption: A review. Sci. Total Environ. 1983, 28, 317–326. [Google Scholar] [CrossRef]
  63. Tiwari, A.K.; Mahdi, A.A.; Zahra, F.; Sharma, S.; Negi, M.P. Evaluation of Low Blood Lead Levels and Its Association with Oxidative Stress in Pregnant Anemic Women: A Comparative Prospective Study. Indian J. Clin. Biochem. 2012, 27, 246–252. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Jamiol-Milc, D.; Stachowska, E.; Janus, T.; Barcz, A.; Chlubek, D. Elaidic acid and vaccenic acid in the plasma of pregnant women and umbilical blood plasma. Pomeranian J. Life Sci. 2015, 61, 51–57. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Tamayo, Y.O.M.; Tellez-Rojo, M.M.; Trejo-Valdivia, B.; Schnaas, L.; Osorio-Valencia, E.; Coull, B.; Bellinger, D.; Wright, R.J.; Wright, R.O. Maternal stress modifies the effect of exposure to lead during pregnancy and 24-month old children’s neurodevelopment. Environ. Int. 2017, 98, 191–197. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Al-Saleh, I.; Shinwari, N.; Nester, M.; Mashhour, A.; Moncari, L.; El Din Mohamed, G.; Rabah, A. Longitudinal study of prenatal and postnatal lead exposure and early cognitive development in Al-Kharj, Saudi Arabia: A preliminary results of cord blood lead levels. J. Trop. Pediatr. 2008, 54, 300–307. [Google Scholar] [CrossRef] [Green Version]
  67. Mamtani, M.; Patel, A.; Kulkarni, H. Association of the pattern of transition between arousal states in neonates with the cord blood lead level. Early Hum. Dev. 2008, 84, 231–235. [Google Scholar] [CrossRef]
  68. Gomaa, A.; Hu, H.; Bellinger, D.; Schwartz, J.; Tsaih, S.W.; Gonzalez-Cossio, T.; Schnaas, L.; Peterson, K.; Aro, A.; Hernandez-Avila, M. Maternal bone lead as an independent risk factor for fetal neurotoxicity: A prospective study. Pediatrics 2002, 110, 110–118. [Google Scholar] [CrossRef]
  69. Bellinger, D.; Leviton, A.; Sloman, J. Antecedents and correlates of improved cognitive performance in children exposed in utero to low levels of lead. Environ. Health Perspect. 1990, 89, 5–11. [Google Scholar] [CrossRef]
  70. Bellinger, D.; Leviton, A.; Waternaux, C.; Needleman, H.; Rabinowitz, M. Longitudinal analyses of prenatal and postnatal lead exposure and early cognitive development. N. Engl. J. Med. 1987, 316, 1037–1043. [Google Scholar] [CrossRef]
  71. Wasserman, G.A.; Liu, X.; Popovac, D.; Factor-Litvak, P.; Kline, J.; Waternaux, C.; LoIacono, N.; Graziano, J.H. The Yugoslavia Prospective Lead Study: Contributions of prenatal and postnatal lead exposure to early intelligence. Neurotoxicol. Teratol. 2000, 22, 811–818. [Google Scholar] [CrossRef]
  72. Wasserman, G.A.; Musabegovic, A.; Liu, X.; Kline, J.; Factor-Litvak, P.; Graziano, J.H. Lead exposure and motor functioning in 4(1/2)-year-old children: The Yugoslavia prospective study. J. Pediatr. 2000, 137, 555–561. [Google Scholar] [CrossRef] [PubMed]
  73. Huang, S.; Hu, H.; Sanchez, B.N.; Peterson, K.E.; Ettinger, A.S.; Lamadrid-Figueroa, H.; Schnaas, L.; Mercado-Garcia, A.; Wright, R.O.; Basu, N.; et al. Childhood Blood Lead Levels and Symptoms of Attention Deficit Hyperactivity Disorder (ADHD): A Cross-Sectional Study of Mexican Children. Environ. Health Perspect. 2016, 124, 868–874. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Cho, S.C.; Kim, B.N.; Hong, Y.C.; Shin, M.S.; Yoo, H.J.; Kim, J.W.; Bhang, S.Y.; Cho, I.H.; Kim, H.W. Effect of environmental exposure to lead and tobacco smoke on inattentive and hyperactive symptoms and neurocognitive performance in children. J. Child Psychol. Psychiatry 2010, 51, 1050–1057. [Google Scholar] [CrossRef] [PubMed]
  75. Xu, J.; Hu, H.; Wright, R.; Sanchez, B.N.; Schnaas, L.; Bellinger, D.C.; Park, S.K.; Martinez, S.; Hernandez-Avila, M.; Tellez-Rojo, M.M.; et al. Prenatal Lead Exposure Modifies the Impact of Maternal Self-Esteem on Children’s Inattention Behavior. J. Pediatr. 2015, 167, 435–441. [Google Scholar] [CrossRef] [Green Version]
  76. Kim, Y.; Cho, S.C.; Kim, B.N.; Hong, Y.C.; Shin, M.S.; Yoo, H.J.; Kim, J.W.; Bhang, S.Y. Association between blood lead levels (<5 mug/dL) and inattention-hyperactivity and neurocognitive profiles in school-aged Korean children. Sci. Total Environ. 2010, 408, 5737–5743. [Google Scholar] [CrossRef]
  77. Nigg, J.T.; Knottnerus, G.M.; Martel, M.M.; Nikolas, M.; Cavanagh, K.; Karmaus, W.; Rappley, M.D. Low blood lead levels associated with clinically diagnosed attention-deficit/hyperactivity disorder and mediated by weak cognitive control. Biol. Psychiatry 2008, 63, 325–331. [Google Scholar] [CrossRef] [Green Version]
  78. Kponee-Shovein, K.Z.; Weisskopf, M.G.; Grashow, R.; Rotem, R.S.; Coull, B.A.; Schnaas, L.; Hernandez-Chavez, M.D.C.; Sanchez, B.; Peterson, K.; Hu, H.; et al. Estimating the causal effect of prenatal lead exposure on prepulse inhibition deficits in children and adolescents. Neurotoxicology 2020, 78, 116–126. [Google Scholar] [CrossRef]
  79. Jansen, E.C.; Dunietz, G.L.; Dababneh, A.; Peterson, K.E.; Chervin, R.D.; Baek, J.; O’Brien, L.; Song, P.X.K.; Cantoral, A.; Hu, H.; et al. Cumulative Childhood Lead Levels in Relation to Sleep During Adolescence. J. Clin. Sleep Med. 2019, 15, 1443–1449. [Google Scholar] [CrossRef]
  80. Markowitz, M. Lead poisoning. Pediatr. Rev. 2000, 21, 327–335. [Google Scholar] [CrossRef]
  81. Gorospe, E.C.; Gerstenberger, S.L. Atypical sources of childhood lead poisoning in the United States: A systematic review from 1966-2006. Clin. Toxicol. (Phila.) 2008, 46, 728–737. [Google Scholar] [CrossRef] [PubMed]
  82. Tamayo y Ortiz, M.; Tellez-Rojo, M.M.; Hu, H.; Hernandez-Avila, M.; Wright, R.; Amarasiriwardena, C.; Lupoli, N.; Mercado-Garcia, A.; Pantic, I.; Lamadrid-Figueroa, H. Lead in candy consumed and blood lead levels of children living in Mexico City. Environ. Res. 2016, 147, 497–502. [Google Scholar] [CrossRef]
  83. Maxwell, E.D.; Neumann, C.M. Lead-tainted candy: A possible source of lead exposure to children. Toxicol. Environ. Chem. 2008, 90, 301–313. [Google Scholar] [CrossRef]
  84. Centers for Disease Control and Prevention (CDC). Childhood lead poisoning associated with tamarind candy and folk remedies—California, 1999–2000. MMWR Morb. Mortal. Wkly. Rep. 2002, 51, 684–686. [Google Scholar]
  85. Bose, A.; Vashistha, K.; O’Loughlin, B.J. Azarcon por empacho—Another cause of lead toxicity. Pediatrics 1983, 72, 106–108. [Google Scholar]
  86. Baghurst, P.A.; McMichael, A.J.; Wigg, N.R.; Vimpani, G.V.; Robertson, E.F.; Roberts, R.J.; Tong, S.L. Environmental exposure to lead and children’s intelligence at the age of seven years. The Port Pirie Cohort Study. N. Engl. J. Med. 1992, 327, 1279–1284. [Google Scholar] [CrossRef]
  87. Wigg, N.R.; Vimpani, G.V.; McMichael, A.J.; Baghurst, P.A.; Robertson, E.F.; Roberts, R.J. Port Pirie Cohort study: Childhood blood lead and neuropsychological development at age two years. J. Epidemiol. Community Health 1988, 42, 213–219. [Google Scholar] [CrossRef] [Green Version]
  88. Kordas, K.; Casavantes, K.M.; Mendoza, C.; Lopez, P.; Ronquillo, D.; Rosado, J.L.; Vargas, G.G.; Stoltzfus, R.J. The association between lead and micronutrient status, and children’s sleep, classroom behavior, and activity. Arch. Environ. Occup. Health 2007, 62, 105–112. [Google Scholar] [CrossRef]
  89. Bhattacharya, A.; Shukla, R.; Dietrich, K.N.; Bornschein, R.L. Effect of early lead exposure on the maturation of children’s postural balance: A longitudinal study. Neurotoxicol. Teratol. 2006, 28, 376–385. [Google Scholar] [CrossRef]
  90. Bhattacharya, A.; Shukla, R.; Bornschein, R.L.; Dietrich, K.N.; Keith, R. Lead effects on postural balance of children. Environ. Health Perspect. 1990, 89, 35–42. [Google Scholar] [CrossRef]
  91. Needleman, H.L.; Gunnoe, C.; Leviton, A.; Reed, R.; Peresie, H.; Maher, C.; Barrett, P. Deficits in psychologic and classroom performance of children with elevated dentine lead levels. N. Engl. J. Med. 1979, 300, 689–695. [Google Scholar] [CrossRef] [PubMed]
  92. Needleman, H.L.; Riess, J.A.; Tobin, M.J.; Biesecker, G.E.; Greenhouse, J.B. Bone lead levels and delinquent behavior. JAMA 1996, 275, 363–369. [Google Scholar] [CrossRef] [PubMed]
  93. Stroustrup, A.; Hsu, H.H.; Svensson, K.; Schnaas, L.; Cantoral, A.; Solano Gonzalez, M.; Torres-Calapiz, M.; Amarasiriwardena, C.; Bellinger, D.C.; Coull, B.A.; et al. Toddler temperament and prenatal exposure to lead and maternal depression. Environ. Health 2016, 15, 71. [Google Scholar] [CrossRef] [Green Version]
  94. Surkan, P.J.; Schnaas, L.; Wright, R.J.; Tellez-Rojo, M.M.; Lamadrid-Figueroa, H.; Hu, H.; Hernandez-Avila, M.; Bellinger, D.C.; Schwartz, J.; Perroni, E.; et al. Maternal self-esteem, exposure to lead, and child neurodevelopment. Neurotoxicology 2008, 29, 278–285. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Moodie, S.; Ialongo, N.; Lopez, P.; Rosado, J.; Garcia-Vargas, G.; Ronquillo, D.; Kordas, K. The conjoint influence of home enriched environment and lead exposure on children’s cognition and behaviour in a Mexican lead smelter community. Neurotoxicology 2013, 34, 33–41. [Google Scholar] [CrossRef] [PubMed]
  96. Pérez, H.; Nóbrega, D.; Aular, Y.; Núñez, C.; Pereira, K.; Gómez, M.E. Niveles de plomo en sangre, malondialdehido y vitaminas antioxidantes en escolares. Salus 2015, 19, 12–19. [Google Scholar]
  97. Meng, X.M.; Zhu, D.M.; Ruan, D.Y.; She, J.Q.; Luo, L. Effects of chronic lead exposure on 1H MRS of hippocampus and frontal lobes in children. Neurology 2005, 64, 1644–1647. [Google Scholar] [CrossRef] [PubMed]
  98. Shih, R.A.; Glass, T.A.; Bandeen-Roche, K.; Carlson, M.C.; Bolla, K.I.; Todd, A.C.; Schwartz, B.S. Environmental lead exposure and cognitive function in community-dwelling older adults. Neurology 2006, 67, 1556–1562. [Google Scholar] [CrossRef]
  99. Martin, D.; Glass, T.A.; Bandeen-Roche, K.; Todd, A.C.; Shi, W.; Schwartz, B.S. Association of blood lead and tibia lead with blood pressure and hypertension in a community sample of older adults. Am. J. Epidemiol. 2006, 163, 467–478. [Google Scholar] [CrossRef]
  100. Grashow, R.; Sparrow, D.; Hu, H.; Weisskopf, M.G. Cumulative lead exposure is associated with reduced olfactory recognition performance in elderly men: The Normative Aging Study. Neurotoxicology 2015, 49, 158–164. [Google Scholar] [CrossRef] [Green Version]
  101. Caruso, A.; Lucchini, R.; Toffoletto, F.; Porro, S.; Moroni, P.; Mascagni, P. Study of the olfactory function of a group of workers with significant lead exposure. G. Ital. Med. Lav. Ergon. 2007, 29 (Suppl. 3), 460–463. [Google Scholar] [PubMed]
  102. Fenga, C.; Gangemi, S.; Alibrandi, A.; Costa, C.; Micali, E. Relationship between lead exposure and mild cognitive impairment. J. Prev. Med. Hyg. 2016, 57, E205–E210. [Google Scholar] [PubMed]
  103. Kaminska, M.S.; Cybulska, A.M.; Panczyk, M.; Baranowska-Bosiacka, I.; Chlubek, D.; Grochans, E.; Stanislawska, M.; Jurczak, A. The Effect of Whole Blood Lead (Pb-B) Levels on Changes in Peripheral Blood Morphology and Selected Biochemical Parameters, and the Severity of Depression in Peri-Menopausal Women at Risk of Metabolic Syndrome or with Metabolic Syndrome. Int. J. Environ. Res. Public Health 2020, 17, 5033. [Google Scholar] [CrossRef] [PubMed]
  104. Jurczak, A.; Brodowska, A.; Szkup, M.; Prokopowicz, A.; Karakiewicz, B.; Loj, B.; Kotwas, A.; Brodowska, A.; Grochans, E. Influence of Pb and Cd levels in whole blood of postmenopausal women on the incidence of anxiety and depressive symptoms. Ann. Agric. Environ. Med. 2018, 25, 219–223. [Google Scholar] [CrossRef] [PubMed]
  105. Guilarte, T.R.; Opler, M.; Pletnikov, M. Is lead exposure in early life an environmental risk factor for Schizophrenia? Neurobiological connections and testable hypotheses. Neurotoxicology 2012, 33, 560–574. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Ma, J.; Yan, L.; Guo, T.; Yang, S.; Guo, C.; Liu, Y.; Xie, Q.; Wang, J. Association of Typical Toxic Heavy Metals with Schizophrenia. Int. J. Environ. Res. Public Health 2019, 16, 4200. [Google Scholar] [CrossRef] [Green Version]
  107. Orisakwe, O.E. The role of lead and cadmium in psychiatry. N. Am. J. Med. Sci. 2014, 6, 370–376. [Google Scholar] [CrossRef] [Green Version]
  108. Bakulski, K.M.; Seo, Y.A.; Hickman, R.C.; Brandt, D.; Vadari, H.S.; Hu, H.; Park, S.K. Heavy Metals Exposure and Alzheimer’s Disease and Related Dementias. J. Alzheimer’s Dis. 2020, 76, 1215–1242. [Google Scholar] [CrossRef]
  109. Sadiq, S.; Ghazala, Z.; Chowdhury, A.; Busselberg, D. Metal toxicity at the synapse: Presynaptic, postsynaptic, and long-term effects. J. Toxicol. 2012, 2012, 132671. [Google Scholar] [CrossRef]
  110. Guilarte, T.R. Pb2+ inhibits NMDA receptor function at high and low affinity sites: Developmental and regional brain expression. Neurotoxicology 1997, 18, 43–51. [Google Scholar]
  111. Toscano, C.D.; Guilarte, T.R. Lead neurotoxicity: From exposure to molecular effects. Brain Res. Brain Res. Rev. 2005, 49, 529–554. [Google Scholar] [CrossRef] [PubMed]
  112. White, L.D.; Cory-Slechta, D.A.; Gilbert, M.E.; Tiffany-Castiglioni, E.; Zawia, N.H.; Virgolini, M.; Rossi-George, A.; Lasley, S.M.; Qian, Y.C.; Basha, M.R. New and evolving concepts in the neurotoxicology of lead. Toxicol. Appl. Pharmacol. 2007, 225, 1–27. [Google Scholar] [CrossRef] [PubMed]
  113. Neal, A.P.; Worley, P.F.; Guilarte, T.R. Lead exposure during synaptogenesis alters NMDA receptor targeting via NMDA receptor inhibition. Neurotoxicology 2011, 32, 281–289. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  114. Guilarte, T.R.; McGlothan, J.L. Hippocampal NMDA receptor mRNA undergoes subunit specific changes during developmental lead exposure. Brain Res. 1998, 790, 98–107. [Google Scholar] [CrossRef]
  115. Liu, L.; Wong, T.P.; Pozza, M.F.; Lingenhoehl, K.; Wang, Y.; Sheng, M.; Auberson, Y.P.; Wang, Y.T. Role of NMDA receptor subtypes in governing the direction of hippocampal synaptic plasticity. Science 2004, 304, 1021–1024. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  116. Toscano, C.D.; Hashemzadeh-Gargari, H.; McGlothan, J.L.; Guilarte, T.R. Developmental Pb2+ exposure alters NMDAR subtypes and reduces CREB phosphorylation in the rat brain. Brain Res. Dev. Brain Res. 2002, 139, 217–226. [Google Scholar] [CrossRef]
  117. Guilarte, T.R.; McGlothan, J.L.; Nihei, M.K. Hippocampal expression of N-methyl-D-aspartate receptor (NMDAR1) subunit splice variant mRNA is altered by developmental exposure to Pb(2+). Brain Res. Mol. Brain Res. 2000, 76, 299–305. [Google Scholar] [CrossRef]
  118. Nihei, M.K.; Guilarte, T.R. Molecular changes in glutamatergic synapses induced by Pb2+: Association with deficits of LTP and spatial learning. Neurotoxicology 2001, 22, 635–643. [Google Scholar] [CrossRef]
  119. Xiao, C.; Gu, Y.; Zhou, C.Y.; Wang, L.; Zhang, M.M.; Ruan, D.Y. Pb2+ impairs GABAergic synaptic transmission in rat hippocampal slices: A possible involvement of presynaptic calcium channels. Brain Res. 2006, 1088, 93–100. [Google Scholar] [CrossRef]
  120. Braga, M.F.; Pereira, E.F.; Albuquerque, E.X. Nanomolar concentrations of lead inhibit glutamatergic and GABAergic transmission in hippocampal neurons. Brain Res. 1999, 826, 22–34. [Google Scholar] [CrossRef]
  121. Busselberg, D. Calcium channels as target sites of heavy metals. Toxicol. Lett. 1995, 82–83, 255–261. [Google Scholar] [CrossRef]
  122. Simons, T.J.; Pocock, G. Lead enters bovine adrenal medullary cells through calcium channels. J. Neurochem. 1987, 48, 383–389. [Google Scholar] [CrossRef] [PubMed]
  123. Sun, L.R.; Suszkiw, J.B. Extracellular inhibition and intracellular enhancement of Ca2+ currents by Pb2+ in bovine adrenal chromaffin cells. J. Neurophysiol. 1995, 74, 574–581. [Google Scholar] [CrossRef] [PubMed]
  124. Minnema, D.J.; Michaelson, I.A.; Cooper, G.P. Calcium efflux and neurotransmitter release from rat hippocampal synaptosomes exposed to lead. Toxicol. Appl. Pharmacol. 1988, 92, 351–357. [Google Scholar] [CrossRef]
  125. Bouton, C.M.; Frelin, L.P.; Forde, C.E.; Arnold Godwin, H.; Pevsner, J. Synaptotagmin I is a molecular target for lead. J. Neurochem. 2001, 76, 1724–1735. [Google Scholar] [CrossRef] [Green Version]
  126. Gill, K.D.; Gupta, V.; Sandhir, R. Ca2+/calmodulin-mediated neurotransmitter release and neurobehavioural deficits following lead exposure. Cell Biochem. Funct. 2003, 21, 345–353. [Google Scholar] [CrossRef]
  127. Toscano, C.D.; O’Callaghan, J.P.; Guilarte, T.R. Calcium/calmodulin-dependent protein kinase II activity and expression are altered in the hippocampus of Pb2+-exposed rats. Brain Res. 2005, 1044, 51–58. [Google Scholar] [CrossRef]
  128. Neal, A.P.; Stansfield, K.H.; Worley, P.F.; Thompson, R.E.; Guilarte, T.R. Lead exposure during synaptogenesis alters vesicular proteins and impairs vesicular release: Potential role of NMDA receptor-dependent BDNF signaling. Toxicol. Sci. 2010, 116, 249–263. [Google Scholar] [CrossRef] [Green Version]
  129. Ishihara, K.; Alkondon, M.; Montes, J.G.; Albuquerque, E.X. Nicotinic responses in acutely dissociated rat hippocampal neurons and the selective blockade of fast-desensitizing nicotinic currents by lead. J. Pharmacol. Exp. Ther. 1995, 273, 1471–1482. [Google Scholar]
  130. Braga, M.F.; Pereira, E.F.; Mike, A.; Albuquerque, E.X. Pb2+ via protein kinase C inhibits nicotinic cholinergic modulation of synaptic transmission in the hippocampus. J. Pharmacol. Exp. Ther. 2004, 311, 700–710. [Google Scholar] [CrossRef] [Green Version]
  131. Mike, A.; Pereira, E.F.; Albuquerque, E.X. Ca(2+)-sensitive inhibition by Pb(2+) of alpha7-containing nicotinic acetylcholine receptors in hippocampal neurons. Brain Res. 2000, 873, 112–123. [Google Scholar] [CrossRef]
  132. Ramirez Ortega, D.; Ovalle Rodriguez, P.; Pineda, B.; Gonzalez Esquivel, D.F.; Ramos Chavez, L.A.; Vazquez Cervantes, G.I.; Roldan Roldan, G.; de la Perez Cruz, G.; Diaz Ruiz, A.; Mendez Armenta, M.; et al. Kynurenine Pathway as a New Target of Cognitive Impairment Induced by Lead Toxicity During the Lactation. Sci. Rep. 2020, 10, 3184. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  133. Golter, M.; Michaelson, I.A. Growth, behavior, and brain catecholamines in lead-exposed neonatal rats: A reappraisal. Science 1975, 187, 359–361. [Google Scholar] [CrossRef] [PubMed]
  134. Sobotka, T.J.; Cook, M.P. Postnatal lead acetate exposure in rats: Possible relationship to minimal brain dysfunction. Am. J. Ment. Defic. 1974, 79, 5–9. [Google Scholar]
  135. Sauerhoff, M.W.; Michaelson, I.A. Hyperactivity and brain catecholamines in lead-exposed developing rats. Science 1973, 182, 1022–1024. [Google Scholar] [CrossRef]
  136. Overmann, S.R. Behavioral effects of asymptomatic lead exposure during neonatal development in rats. Toxicol. Appl. Pharmacol. 1977, 41, 459–471. [Google Scholar] [CrossRef]
  137. Brady, K.; Herrera, Y.; Zenick, H. Influence of parental lead exposure on subsequent learning ability of offspring. Pharmacol. Biochem. Behav. 1975, 3, 561–565. [Google Scholar] [CrossRef]
  138. Padich, R.; Zenick, H. The effects of developmental and/or direct lead exposure on FR behavior in the rat. Pharmacol. Biochem. Behav. 1977, 6, 371–375. [Google Scholar] [CrossRef]
  139. Fan, G.; Feng, C.; Li, Y.; Wang, C.; Yan, J.; Li, W.; Feng, J.; Shi, X.; Bi, Y. Selection of nutrients for prevention or amelioration of lead-induced learning and memory impairment in rats. Ann. Occup. Hyg. 2009, 53, 341–351. [Google Scholar] [CrossRef] [Green Version]
  140. Rao Barkur, R.; Bairy, L.K. Evaluation of passive avoidance learning and spatial memory in rats exposed to low levels of lead during specific periods of early brain development. Int. J. Occup. Med. Environ. Health 2015, 28, 533–544. [Google Scholar] [CrossRef]
  141. Rahman, A.; Khan, K.M.; Al-Khaledi, G.; Khan, I.; Al-Shemary, T. Over activation of hippocampal serine/threonine protein phosphatases PP1 and PP2A is involved in lead-induced deficits in learning and memory in young rats. Neurotoxicology 2012, 33, 370–383. [Google Scholar] [CrossRef] [PubMed]
  142. Rice, D.C. Chronic low-lead exposure from birth produces deficits in discrimination reversal in monkeys. Toxicol. Appl. Pharmacol. 1985, 77, 201–210. [Google Scholar] [CrossRef]
  143. Rice, D.C.; Hayward, S. Comparison of visual function at adulthood and during aging in monkeys exposed to lead or methylmercury. Neurotoxicology 1999, 20, 767–784. [Google Scholar] [PubMed]
  144. Rice, D.C. Behavioral effects of lead in monkeys tested during infancy and adulthood. Neurotoxicol. Teratol. 1992, 14, 235–245. [Google Scholar] [CrossRef]
  145. Muller, Y.M.; Rivero, L.B.; Carvalho, M.C.; Kobus, K.; Farina, M.; Nazari, E.M. Behavioral impairments related to lead-induced developmental neurotoxicity in chicks. Arch. Toxicol. 2008, 82, 445–451. [Google Scholar] [CrossRef] [PubMed]
  146. Petit, T.L.; Alfano, D.P. Differential experience following developmental lead exposure: Effects on brain and behavior. Pharmacol. Biochem. Behav. 1979, 11, 165–171. [Google Scholar] [CrossRef]
  147. Tiffany-Castiglioni, E. Cell culture models for lead toxicity in neuronal and glial cells. Neurotoxicology 1993, 14, 513–536. [Google Scholar]
  148. Lorton, D.; Anderson, W.J. The effects of postnatal lead toxicity on the development of cerebellum in rats. Neurobehav. Toxicol. Teratol. 1986, 8, 51–59. [Google Scholar]
  149. Michaelson, I.A.; Sauerhoff, M.W. Animal models of human disease: Severe and mild lead encephalopathy in the neonatal rat. Environ. Health Perspect. 1974, 7, 201–225. [Google Scholar] [CrossRef] [Green Version]
  150. Krigman, M.R.; Druse, M.J.; Traylor, T.D.; Wilson, M.H.; Newell, L.R.; Hogan, E.L. Lead encephalopathy in the developing rat: Effect on cortical ontogenesis. J. Neuropathol. Exp. Neurol. 1974, 33, 671–686. [Google Scholar] [CrossRef]
  151. Patrick, G.W.; Anderson, W.J. Dendritic alterations of cortical pyramidal neurons in postnatally lead-exposed kittens: A Golgi-Cox study. Dev. Neurosci. 1995, 17, 219–229. [Google Scholar] [CrossRef] [PubMed]
  152. Petit, T.L.; LeBoutillier, J.C. Effects of lead exposure during development on neocortical dendritic and synaptic structure. Exp. Neurol. 1979, 64, 482–492. [Google Scholar] [CrossRef]
  153. Lampert, P.W.; Schochet, S.S., Jr. Demyelination and remyelination in lead neuropathy. Electron microscopic studies. J. Neuropathol. Exp. Neurol. 1968, 27, 527–545. [Google Scholar] [PubMed]
  154. Baranowska-Bosiacka, I.; Struzynska, L.; Gutowska, I.; Machalinska, A.; Kolasa, A.; Klos, P.; Czapski, G.A.; Kurzawski, M.; Prokopowicz, A.; Marchlewicz, M.; et al. Perinatal exposure to lead induces morphological, ultrastructural and molecular alterations in the hippocampus. Toxicology 2013, 303, 187–200. [Google Scholar] [CrossRef]
  155. Gassowska, M.; Baranowska-Bosiacka, I.; Moczydlowska, J.; Frontczak-Baniewicz, M.; Gewartowska, M.; Struzynska, L.; Gutowska, I.; Chlubek, D.; Adamczyk, A. Perinatal exposure to lead (Pb) induces ultrastructural and molecular alterations in synapses of rat offspring. Toxicology 2016, 373, 13–29. [Google Scholar] [CrossRef]
  156. Gilbert, M.E.; Kelly, M.E.; Samsam, T.E.; Goodman, J.H. Chronic developmental lead exposure reduces neurogenesis in adult rat hippocampus but does not impair spatial learning. Toxicol. Sci. 2005, 86, 365–374. [Google Scholar] [CrossRef] [Green Version]
  157. Jaako-Movits, K.; Zharkovsky, T.; Romantchik, O.; Jurgenson, M.; Merisalu, E.; Heidmets, L.T.; Zharkovsky, A. Developmental lead exposure impairs contextual fear conditioning and reduces adult hippocampal neurogenesis in the rat brain. Int. J. Dev. Neurosci. 2005, 23, 627–635. [Google Scholar] [CrossRef]
  158. Fan, Y.; Zhao, X.; Yu, J.; Xie, J.; Li, C.; Liu, D.; Tang, C.; Wang, C. Lead-induced oxidative damage in rats/mice: A meta-analysis. J. Trace Elem. Med. Biol. 2020, 58, 126443. [Google Scholar] [CrossRef]
  159. Gargouri, M.; Ghorbel-Koubaa, F.; Bonenfant-Magne, M.; Magne, C.; Dauvergne, X.; Ksouri, R.; Krichen, Y.; Abdelly, C.; El Feki, A. Spirulina or dandelion-enriched diet of mothers alleviates lead-induced damages in brain and cerebellum of newborn rats. Food Chem. Toxicol. 2012, 50, 2303–2310. [Google Scholar] [CrossRef]
  160. Zhang, Y.M.; Liu, X.Z.; Lu, H.; Mei, L.; Liu, Z.P. Lipid peroxidation and ultrastructural modifications in brain after perinatal exposure to lead and/or cadmium in rat pups. Biomed. Environ. Sci. 2009, 22, 423–429. [Google Scholar] [CrossRef]
  161. Babu, M.S.; Gopal, N.V.; Reddy, K.P. Post natal antioxidant enzyme activity of rat brain regions during developmental lead exposure. J. Environ. Biol. 2007, 28, 21–27. [Google Scholar] [PubMed]
  162. Nehru, B.; Kanwar, S.S. N-acetylcysteine exposure on lead-induced lipid peroxidative damage and oxidative defense system in brain regions of rats. Biol. Trace Elem. Res. 2004, 101, 257–264. [Google Scholar] [CrossRef]
  163. Prasanthi, R.P.; Devi, C.B.; Basha, D.C.; Reddy, N.S.; Reddy, G.R. Calcium and zinc supplementation protects lead (Pb)-induced perturbations in antioxidant enzymes and lipid peroxidation in developing mouse brain. Int. J. Dev. Neurosci. 2010, 28, 161–167. [Google Scholar] [CrossRef] [PubMed]
  164. Kim, J.H.; Kang, J.C. Effects of sub-chronic exposure to lead (Pb) and ascorbic acid in juvenile rockfish: Antioxidant responses, MT gene expression, and neurotransmitters. Chemosphere 2017, 171, 520–527. [Google Scholar] [CrossRef] [PubMed]
  165. Liu, Z.H.; Shang, J.; Yan, L.; Wei, T.; Xiang, L.; Wang, H.L.; Cheng, J.; Xiao, G. Oxidative stress caused by lead (Pb) induces iron deficiency in Drosophila melanogaster. Chemosphere 2020, 243, 125428. [Google Scholar] [CrossRef] [PubMed]
  166. Holtzman, D.; Olson, J.E.; DeVries, C.; Bensch, K. Lead toxicity in primary cultured cerebral astrocytes and cerebellar granular neurons. Toxicol. Appl. Pharmacol. 1987, 89, 211–225. [Google Scholar] [CrossRef]
  167. Lindahl, L.S.; Bird, L.; Legare, M.E.; Mikeska, G.; Bratton, G.R.; Tiffany-Castiglioni, E. Differential ability of astroglia and neuronal cells to accumulate lead: Dependence on cell type and on degree of differentiation. Toxicol. Sci. 1999, 50, 236–243. [Google Scholar] [CrossRef] [Green Version]
  168. Peng, J.; Zhou, F.; Wang, Y.; Xu, Y.; Zhang, H.; Zou, F.; Meng, X. Differential response to lead toxicity in rat primary microglia and astrocytes. Toxicol. Appl. Pharmacol. 2019, 363, 64–71. [Google Scholar] [CrossRef]
  169. Liu, X.; Wu, J.; Shi, W.; Shi, W.; Liu, H.; Wu, X. Lead Induces Genotoxicity via Oxidative Stress and Promoter Methylation of DNA Repair Genes in Human Lymphoblastoid TK6 Cells. Med. Sci. Monit. 2018, 24, 4295–4304. [Google Scholar] [CrossRef]
  170. Ye, F.; Li, X.; Li, L.; Lyu, L.; Yuan, J.; Chen, J. The role of Nrf2 in protection against Pb-induced oxidative stress and apoptosis in SH-SY5Y cells. Food Chem. Toxicol. 2015, 86, 191–201. [Google Scholar] [CrossRef]
  171. Verma, S.K.; Dua, R.; Gill, K.D. Impaired energy metabolism after co-exposure to lead and ethanol. Basic Clin. Pharmacol. Toxicol. 2005, 96, 475–479. [Google Scholar] [CrossRef] [PubMed]
  172. Ma, L.; Liu, J.Y.; Dong, J.X.; Xiao, Q.; Zhao, J.; Jiang, F.L. Toxicity of Pb(2+) on rat liver mitochondria induced by oxidative stress and mitochondrial permeability transition. Toxicol. Res. (Camb.) 2017, 6, 822–830. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  173. Ye, F.; Li, X.; Liu, Y.; Jiang, A.; Li, X.; Yang, L.; Chang, W.; Yuan, J.; Chen, J. CypD deficiency confers neuroprotection against mitochondrial abnormality caused by lead in SH-SY5Y cell. Toxicol. Lett. 2020, 323, 25–34. [Google Scholar] [CrossRef] [PubMed]
  174. Baranowska-Bosiacka, I.; Gutowska, I.; Marchetti, C.; Rutkowska, M.; Marchlewicz, M.; Kolasa, A.; Prokopowicz, A.; Wiernicki, I.; Piotrowska, K.; Baskiewicz, M.; et al. Altered energy status of primary cerebellar granule neuronal cultures from rats exposed to lead in the pre- and neonatal period. Toxicology 2011, 280, 24–32. [Google Scholar] [CrossRef]
  175. Dabrowska, A.; Venero, J.L.; Iwasawa, R.; Hankir, M.K.; Rahman, S.; Boobis, A.; Hajji, N. PGC-1alpha controls mitochondrial biogenesis and dynamics in lead-induced neurotoxicity. Aging (Albany NY) 2015, 7, 629–647. [Google Scholar] [CrossRef] [Green Version]
  176. Breckenridge, D.G.; Stojanovic, M.; Marcellus, R.C.; Shore, G.C. Caspase cleavage product of BAP31 induces mitochondrial fission through endoplasmic reticulum calcium signals, enhancing cytochrome c release to the cytosol. J. Cell Biol. 2003, 160, 1115–1127. [Google Scholar] [CrossRef] [PubMed]
  177. Zhu, Y.; Jiao, X.; An, Y.; Li, S.; Teng, X. Selenium against lead-induced apoptosis in chicken nervous tissues via mitochondrial pathway. Oncotarget 2017, 8, 108130–108145. [Google Scholar] [CrossRef] [Green Version]
  178. Gu, X.; Han, M.; Du, Y.; Wu, Y.; Xu, Y.; Zhou, X.; Ye, D.; Wang, H.L. Pb disrupts autophagic flux through inhibiting the formation and activity of lysosomes in neural cells. Toxicol. In Vitro 2019, 55, 43–50. [Google Scholar] [CrossRef]
  179. Habermann, E.; Crowell, K.; Janicki, P. Lead and other metals can substitute for Ca2+ in calmodulin. Arch. Toxicol. 1983, 54, 61–70. [Google Scholar] [CrossRef]
  180. Markovac, J.; Goldstein, G.W. Lead activates protein kinase C in immature rat brain microvessels. Toxicol. Appl. Pharmacol. 1988, 96, 14–23. [Google Scholar] [CrossRef] [Green Version]
  181. Long, G.J.; Rosen, J.F.; Schanne, F.A. Lead activation of protein kinase C from rat brain. Determination of free calcium, lead, and zinc by 19F NMR. J. Biol. Chem. 1994, 269, 834–837. [Google Scholar] [CrossRef]
  182. Azam, S.; Miksovska, J. Pb(2+) Binds to Downstream Regulatory Element Antagonist Modulator (DREAM) and Modulates Its Interactions with Binding Partners: A Link between Neuronal Calcium Sensors and Pb(2+) Neurotoxicity. ACS Chem. Neurosci. 2019, 10, 1263–1272. [Google Scholar] [CrossRef] [PubMed]
  183. Palanirajan, S.K.; Gummadi, S.N. Heavy-Metals-Mediated Phospholipids Scrambling by Human Phospholipid Scramblase 3: A Probable Role in Mitochondrial Apoptosis. Chem. Res. Toxicol. 2020, 33, 553–564. [Google Scholar] [CrossRef] [PubMed]
  184. Baranowska-Bosiacka, I.; Falkowska, A.; Gutowska, I.; Gassowska, M.; Kolasa-Wolosiuk, A.; Tarnowski, M.; Chibowska, K.; Goschorska, M.; Lubkowska, A.; Chlubek, D. Glycogen metabolism in brain and neurons—Astrocytes metabolic cooperation can be altered by pre- and neonatal lead (Pb) exposure. Toxicology 2017, 390, 146–158. [Google Scholar] [CrossRef] [PubMed]
  185. Gassowska, M.; Baranowska-Bosiacka, I.; Moczydlowska, J.; Tarnowski, M.; Pilutin, A.; Gutowska, I.; Struzynska, L.; Chlubek, D.; Adamczyk, A. Perinatal exposure to lead (Pb) promotes Tau phosphorylation in the rat brain in a GSK-3beta and CDK5 dependent manner: Relevance to neurological disorders. Toxicology 2016, 347–349, 17–28. [Google Scholar] [CrossRef]
  186. El-Missiry, M.A. Prophylactic effect of melatonin on lead-induced inhibition of heme biosynthesis and deterioration of antioxidant systems in male rats. J. Biochem. Mol. Toxicol. 2000, 14, 57–62. [Google Scholar] [CrossRef]
  187. Thangarajan, S.; Vedagiri, A.; Somasundaram, S.; Sakthimanogaran, R.; Murugesan, M. Neuroprotective effect of morin on lead acetate- induced apoptosis by preventing cytochrome c translocation via regulation of Bax/Bcl-2 ratio. Neurotoxicol. Teratol. 2018, 66, 35–45. [Google Scholar] [CrossRef]
  188. Bazrgar, M.; Goudarzi, I.; Lashkarbolouki, T.; Elahdadi Salmani, M. Melatonin ameliorates oxidative damage induced by maternal lead exposure in rat pups. Physiol. Behav. 2015, 151, 178–188. [Google Scholar] [CrossRef]
  189. Chintapanti, S.; Reddy, K.P.; Reddy, P.S. Behavioral and neurochemical consequences of perinatal exposure to lead in adult male Wistar rats: Protective effect by Centella asiatica. Environ. Sci. Pollut. Res. Int. 2018, 25, 13173–13185. [Google Scholar] [CrossRef]
  190. Gottipolu, R.R.; Davuljigari, C.B. Perinatal exposure to lead: Reduction in alterations of brain mitochondrial antioxidant system with calcium supplement. Biol. Trace Elem. Res. 2014, 162, 270–277. [Google Scholar] [CrossRef]
  191. Nam, S.M.; Chang, B.J.; Kim, J.H.; Nahm, S.S.; Lee, J.H. Ascorbic acid ameliorates lead-induced apoptosis in the cerebellar cortex of developing rats. Brain Res. 2018, 1686, 10–18. [Google Scholar] [CrossRef] [PubMed]
  192. Nam, S.M.; Cho, I.S.; Seo, J.S.; Go, T.H.; Kim, J.H.; Nahm, S.S.; Chang, B.J.; Lee, J.H. Ascorbic Acid Attenuates Lead-Induced Alterations in the Synapses in the Developing Rat Cerebellum. Biol. Trace Elem. Res. 2019, 187, 142–150. [Google Scholar] [CrossRef] [PubMed]
  193. Yousef, A.O.S.; Fahad, A.F.; Abdel Moneim, A.E.; Metwally, D.M.; El-Khadragy, M.F.; Kassab, R.B. The Neuroprotective Role of Coenzyme Q10 Against Lead Acetate-Induced Neurotoxicity Is Mediated by Antioxidant, Anti-Inflammatory and Anti-Apoptotic Activities. Int. J. Environ. Res. Public Health 2019, 16, 2895. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  194. Karamian, R.; Komaki, A.; Salehi, I.; Tahmasebi, L.; Komaki, H.; Shahidi, S.; Sarihi, A. Vitamin C reverses lead-induced deficits in hippocampal synaptic plasticity in rats. Brain Res. Bull. 2015, 116, 7–15. [Google Scholar] [CrossRef] [PubMed]
  195. Xue, W.Z.; Yang, Q.Q.; Chen, Y.; Zou, R.X.; Xing, D.; Xu, Y.; Liu, Y.S.; Wang, H.L. Kiwifruit Alleviates Learning and Memory Deficits Induced by Pb through Antioxidation and Inhibition of Microglia Activation In Vitro and In Vivo. Oxid. Med. Cell. Longev. 2017, 2017, 5645324. [Google Scholar] [CrossRef]
  196. Su, P.; Zhang, J.; Wang, S.; Aschner, M.; Cao, Z.; Zhao, F.; Wang, D.; Chen, J.; Luo, W. Genistein alleviates lead-induced neurotoxicity in vitro and in vivo: Involvement of multiple signaling pathways. Neurotoxicology 2016, 53, 153–164. [Google Scholar] [CrossRef]
  197. Cai, S.; Liu, J.; Shi, X.; Hu, S.; Zhao, L. Allicin alleviated learning and memory deficits caused by lead exposure at developmental stage. Life Sci. 2019, 231, 116532. [Google Scholar] [CrossRef]
  198. Li, W.H.; Shi, Y.C.; Tseng, I.L.; Liao, V.H. Protective efficacy of selenite against lead-induced neurotoxicity in Caenorhabditis elegans. PLoS ONE 2013, 8, e62387. [Google Scholar] [CrossRef] [Green Version]
  199. Maiti, A.K.; Saha, N.C.; More, S.S.; Panigrahi, A.K.; Paul, G. Neuroprotective Efficacy of Mitochondrial Antioxidant MitoQ in Suppressing Peroxynitrite-Mediated Mitochondrial Dysfunction Inflicted by Lead Toxicity in the Rat Brain. Neurotox. Res. 2017, 31, 358–372. [Google Scholar] [CrossRef]
  200. Hu, P.; Wang, M.; Chen, W.H.; Liu, J.; Chen, L.; Yin, S.T.; Yong, W.; Chen, J.T.; Wang, H.L.; Ruan, D.Y. Quercetin relieves chronic lead exposure-induced impairment of synaptic plasticity in rat dentate gyrus in vivo. Naunyn Schmiedebergs Arch. Pharmacol. 2008, 378, 43–51. [Google Scholar] [CrossRef]
  201. Ebuehi, O.A.; Ayinde, O.C. Neurobehavioural and neurotoxic effects of L-ascorbic acid and L-tryptophan in lead exposed rats. Niger. Q. J. Hosp. Med. 2012, 22, 240–244. [Google Scholar]
  202. Phyu, M.P.; Tangpong, J. Neuroprotective effects of xanthone derivative of Garcinia mangostana against lead-induced acetylcholinesterase dysfunction and cognitive impairment. Food Chem. Toxicol. 2014, 70, 151–156. [Google Scholar] [CrossRef] [PubMed]
  203. She, J.Q.; Wang, M.; Zhu, D.M.; Tang, M.; Chen, J.T.; Wang, L.; Ruan, D.Y. Monosialoanglioside (GM1) prevents lead-induced neurotoxicity on long-term potentiation, SOD activity, MDA levels, and intracellular calcium levels of hippocampus in rats. Naunyn Schmiedebergs Arch. Pharmacol. 2009, 379, 517–524. [Google Scholar] [CrossRef] [PubMed]
  204. Tang, L.M.; Wang, L.X.; Wang, Z.Y.; Sun, L.F.; Pan, X.D.; Pan, G.Q. Tanshinone IIA ameliorates lead (Pb)-induced cognitive deficits and oxidative stress in a rat pup model. Bratisl. Lek. Listy 2017, 118, 196–201. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  205. Phyu, M.P.; Tangpong, J. Protective effect of Thunbergia laurifolia (Linn.) on lead induced acetylcholinesterase dysfunction and cognitive impairment in mice. Biomed. Res. Int. 2013, 2013, 186098. [Google Scholar] [CrossRef] [PubMed]
  206. El-Sokkary, G.H.; Kamel, E.S.; Reiter, R.J. Prophylactic effect of melatonin in reducing lead-induced neurotoxicity in the rat. Cell. Mol. Biol. Lett. 2003, 8, 461–470. [Google Scholar]
Figure 1. Cognitive and behavioral changes induced by Pb exposure in humans and associated morphologic, cellular, and molecular alterations of Pb toxicity.
Figure 1. Cognitive and behavioral changes induced by Pb exposure in humans and associated morphologic, cellular, and molecular alterations of Pb toxicity.
Toxics 09 00023 g001
Figure 2. Mechanisms involved in Pb toxicity in the CNS. Pb can enter the CNS through DMT1 and calcium transporters. In the presynaptic neuron, Pb binds with greater affinity to voltage-gated calcium channels and decreases transportation of calcium ions. Through these channels, Pb can cross inside the cell. Once inside, Pb interacts through Ca2+ binding sites, with several neuronal components involved in vesicular mobilization and docking, affecting the vesicular mobilization and the neurotransmitter release, thus decreasing the activation of postsynaptic receptors. Pb can form Pb–NMDA complexes altering the intracellular levels of Ca2+ in the postsynaptic neuron. The kynurenic acid produced in the astrocytes and rise by Pb contributes to LTP dysfunction. Finally, Pb alters the redox environment, promoting an oxidant environment and cell death.
Figure 2. Mechanisms involved in Pb toxicity in the CNS. Pb can enter the CNS through DMT1 and calcium transporters. In the presynaptic neuron, Pb binds with greater affinity to voltage-gated calcium channels and decreases transportation of calcium ions. Through these channels, Pb can cross inside the cell. Once inside, Pb interacts through Ca2+ binding sites, with several neuronal components involved in vesicular mobilization and docking, affecting the vesicular mobilization and the neurotransmitter release, thus decreasing the activation of postsynaptic receptors. Pb can form Pb–NMDA complexes altering the intracellular levels of Ca2+ in the postsynaptic neuron. The kynurenic acid produced in the astrocytes and rise by Pb contributes to LTP dysfunction. Finally, Pb alters the redox environment, promoting an oxidant environment and cell death.
Toxics 09 00023 g002
Table 1. Epidemiological studies of association between lead levels and cognitive impairment by different ages of exposure.
Table 1. Epidemiological studies of association between lead levels and cognitive impairment by different ages of exposure.
Population (Age Range)Study Design and SubjectsLocationLead LevelsOutcomesReference
Children
2–4 yearsCross-sectional study; 76 children.
Gesell Developmental Scale: t-test comparisons.
The Achenbach Child Behavior Checklist (CBCL): χ2 test.
Scores on each behavior factor and the total behavioral score were analyzed by the rank-sum test.
Xi’an, ChinaBlood:
4–246 µg/L
  • ↓ Adaptative behavior, gross motor performance, fine motor movements, language development, and individual social behavior.
  • ↑ Depression, abnormal behavior, aggressions, social withdrawal, sleep problems, and destruction.
[11]
2–5 yearsCross-sectional study; 201 children.
Child Behavior Checklist (CBCL): χ2 test and t-test comparisons.
Total Behavior Problem Score (TBPS) based upon the percentile ranking of raw scores and in the clinical range (90th percentile).
Multiple regression analysis for the likelihood ratio and influential factor on the TBPS was measured from the mothers using the Center for Epidemiologic Studies Depression Scale (CES-D).
Baltimore, United StatesBlood:
2–30 µg/dL
  • Troublesome behaviors (aggression, sleep problems, and somatic problems)
  • Increase in externalizing behaviors (motor activity, nonadaptive behaviors, conduct problems, inattentiveness, passivity, and hyperactivity)
[12]
8–9 yearsCross-sectional study; 167 children.
Wechsler Intelligence Scale for Children (WISC), Göttinger Formreproduktions-Test (GFT), Bender Gestalt-Test (German version), Benton Test, Diagnostics for Cerebral Damage Test and Wiener Reaction Device.
Duisburg study t tests for correlating samples.
Stolberg sample associations were tested using of stepwise multiple regression analysis.
Duisburg city and Stolberg city, GermanyBaby teeth:
1.4–38.5 µg/g
Blood:
6.8–34 µg/100 mL
  • Deterioration of visual-motor integration
  • IQ deficits (5–7 points)
  • Disturbance of reaction performance
  • Deficits in verbal IQ (4–7 points)
[13]
6–12 years100 children
Wechsler Intelligence Scale for Children, 3rd edition (WISC-III)
Spearman’s rank correlation, logistic and linear regressions to test independent predictors for impairment of cognitive function and the relationship between blood lead levels and cognitive function.
Receiver operating characteristic (ROC) curve was used to calculate the best cut-off value of blood lead levels (based on the highest sensitivity with the lowest false-positive results) above which the majority of the children have cognitive dysfunction.
Cairo, EgyptBlood:
3–28 µg/dL
  • ↓ IQ in 15 points (mainly in verbal subsets, arithmetic and digit span)
  • Poor scholastic achievement
  • Cognitive dysfunction (flat affect, slow, and delayed responses)
[14]
Adults
50–60 yearsCross-sectional study; 53 adults.
Wechsler adult intelligence scale-revised (WAIS-R), Wechsler memory scale (WMS), a test of attention and visuomotor tracking (trail making), test of verbal fluency (FAS), test of non-verbal reasoning (Raven progressive matrices), test of motor speed (finger tapping) and inventory of current mood (POMS).
Wilcoxon signed ranks test, used to compare matched pairs of subjects exposed to lead and controls; and the Mann–Whitney test, used to compare entire groups.
χ2 test was used to evaluate the distribution of categorical frequencies.
Boston, United StatesBlood:
60–120 µg/dL
  • Difficulties in attention and executive functioning, reasoning, and short-term memory.
  • Attenuation of the ability to learn new information.
  • Problems with attention and concentration
  • Reduced ability to do more than one activity at the same time.
  • Impaired ability to organize information or steps in a procedure.
  • Increased difficulty in arriving at solutions for problems.
[8]
50–70 yearsCross-sectional study; 1033 adults.
A battery of 20 cognitive test results was standardized and collapsed into 7 cognitive domain scores.
All 7 domain scores were standardized for direction so that a negative regression coefficient indicated worse performance.
χ2 test for interaction between tibia lead, Neighborhood Psychosocial Hazards Scale (NPH).
NPH scale and the 7 domains of Cognitive function in the Baltimore Memory study.
Multilevel regression models were used to account for the nesting of persons within neighborhoods.
Baltimore, USATibia
18.8 ± 11.6 µg/g
  • Affectations in language and executive function
[1]
Male workers
22 yearsCase reportIndiaBlood:
128.3 µg/dL
  • Aggressiveness
[15]
39–50 yearsCross-sectional study
47 adults exposed to Pb for 11.7 ± 9 years.
Modified version of the Wisconsin card sorting test, the block design test, the visual recognition test, choice reaction, simple reaction, and digit symbol substitution.
One-tailed t-test for independent samples was used for the following tasks: block design and visual recognition tests, simple reaction time, and digit symbol substitution.
The results of the choice reaction were analyzed by multivariate analysis of variance. Since scores of the Wisconsin test were not distributed normally, they were analyzed by one-tailed Mann– Whitney test. Because of multiple univariate testing, Bonferroni correction was applied.
GermanyBlood:
30.8 + 11.2 µg/100 mL
  • Neurobehavioral performance poorer than control in categories such as executive functions (visual recognition), short-time memory, and visuospatial abilities.
[16]
25–67 yearsCross-sectional study: 100 adults exposed to Pb for 1–7 years.
WHO neurobehavioral core test battery.
Multiple linear regression of neurobehavioral function in workers and lead exposure indices.
Correlation coefficients (Pearson r) between blood lead concentration and covariates
Analysis of covariance for dichotomous exposure variables.
VenezuelaBlood:
9–60 µg/dL
  • ↓ results on Wechsler adult intelligence subtests.
  • ↓ Simple reaction time.
  • Mood indicative of depression. Anger hostility, fatigue, and confusion.
[17]
71 yearsCase report
Twins
Boston, United StatesBlood:
15–125 µg/dL
Patella:
119–343 µg/g
Tibia:
79–189 µg/g
  • Verbal/language abilities and working memory/executive function lower than average (worse in twin 1)
  • Deficits in short-term memory function (in learning and retention of new information)
  • Bad manual motor control
[18]
Female workers
55–65 yearsCross-sectional study: 31 adults exposed to Pb for 1.4–20.7 years.
N-back working memory paradigm.
Mean values of continuous variables were compared using the Student’s t-test.
Pearson correlation analyses between mean percentage changes of activated brain regions and working memory performance.
The effects of blood lead on percent signal change by multiple regression analysis.
KoreaBlood:
0.88–13.5 µg/dL
  • Decreased working memory (in-back memory task).
  • Decreased activation in the dorsolateral prefrontal cortex, ventrolateral prefrontal cortex, pre-supplementary motor areas, and inferior parietal cortex
[19]
Table 2. Biomonitoring of human exposure to Pb in pregnant women and lifespan development.
Table 2. Biomonitoring of human exposure to Pb in pregnant women and lifespan development.
PopulationStudy Design and SubjectsStudy Period and LocationSampleLead LevelsReference
Pregnant woman
Cross-sectional study
53 female patients
29.11 ± 4.77 years
2007–2008
Szczecin, Poland
Blood
Milk
1.290 ± 0.578 μg/dL
0.174 ± 1.15 μg/dL
[41]
Cross-sectional study
91 female patients
Five months
Ontario, Canada
Blood
Milk
22.9 ± 12.5 μg/L
2.08 ± 1.67 μg/L
[42]
Cross-sectional study
156 female patients
29–34 years
November 2015–December 2016
Beijing, China
Blood
Cord blood
23.1 ± 21.2 μg/L
14.2 ± 7.6 μg/L
[43]
Prospective case-control study
21 pregnant woman
26.5 ± 5.5 years
October 2016 to April 2017
Ankara, Turkey
Blood12.3 μg/L[44]
Cross-sectional study
41 patients (29 ± 6 years)
2003–2004
Oroya City, Peru
Blood
Cord blood
27.4 ± 15.6 μg/L
19.0 ± 12.6 μg/L
319 ± 215 µg/100 g
[45]
Newborns
Cross-sectional study
53 newborns
2007–2008
Szczecin, Poland
Blood~1 ug/dL[41]
Cross-sectional study
91 infants (0–4 months)
Five months
Ontario, Canada
Cord
Blood
20.8 ± 16.7 μg/L
16.7 ± 10.4 μg/L
[42,46]
Birth cohort study
79 newborns
September, October 2008 Terai, NepalCord blood31.7 + 35.36 μg/L[47]
Children
Cross-sectional study
1–5 years
2011–2016
South Carolina, United States
Blood0.27–20.4 μg/dL[48]
Cross-sectional study
120 children Age
1–36 months
2010–2011
Shandong, China
Blood42.18 ± 12.13 μg/L[49]
Cross-sectional study
2397 children
1–4 years
2013
Sao Paolo, Brazil
Blood6.3–8.1 μg/dL[50]
Cross-sectional study
130 children
0.33-5.8 years
2003–2013
Ecuador
Blood29.4 ± 24.3 µg/dL[51]
Cross-sectional study
561 children
3 months–9 years
July–August 2017
Kabwe, Zambia
Blood5–100 μg/dL[52]
Cross-sectional study
301 children
6 months–16 years
2003–2016
Refugees in the United States
Blood1–27 μg/dL[53]
Adults
Case control study
454 adults (35–65 years)
2009
Florence
Blood86.1 μg/L[54]
Cross-sectional study
15,123 residents (≥16 years).
2009–2015
Missouri
Blood1.5–≥25 μg/dL[55]
Cross-sectional study
30 participants
70.4 ± 9.1 years
2009–2010
Shanghai, China
Blood
Bone
1.0–23.2 μg/dL
0.9–15 μg/g
[56]
Cross-sectional, case control
80 adults (male and female; 15–47 years)
January 2017–July 2018
India
Blood38.02 ± 19.92 μg/dL[57]
Cross-sectional study
171 male adults
40.9 ± 8.25 years
2007–2008
Poland
Blood42.9 ± 6.3 μg/dL[58]
Cross-sectional study
52 male adults (39 ± 9 years)
2019
Tunisia
Blood
Urine
Hair
101–535.3 μg/dL
15.8–72.0 μg/dL
2.2 ± 0.1 μg/g
[59]
Cross sectional study
139 adults (male and female; 16–67 years)
2018
Iraq
Blood5.77 μg/dL[60]
Table 3. Therapies used against Pb neurotoxicity in experimental models.
Table 3. Therapies used against Pb neurotoxicity in experimental models.
Animal Model.DosesBehavioral Alterations/Cognitive ImpairmentBiochemical and Morphological AlterationsTherapyReference
Male Wistar rats20 mg PbAc/kg i.p. for 14 days↓ Rotarod activity
↓ Time in open field test
↑ Time in adhesive removal test
↑ Escape latency time in Morris water maze
↑ Immobility time in the forced swim test
↓ Grip strength time in string test
↑ Lipid peroxidation, nitric oxide, and protein carbonile
↓ Superoxide dismutase, catalase, glutathione peroxidase activity, glutathione reductase, and glutathione-S-transferase activity
↓ Glutathione, vitamin C and E
↓ Na+/K+ ATPase activity
↓ Acetyl cholinesterase
↓ Survival cell number
↑ Bax/Bcl-2 ratio
↓ Mitochondrial cytochrome c
↑ Cytosolic cytochrome c
Morin (40 mg/kg) orally 2 h after the administration of PbAc for 14 days).
Attenuates all the behavioral and biochemical alterations induced by PbAc
[187]
Pregnant Wistar rats0.2% PbAc, daily from the 5th day of gestation until weaning (PD21).↓ Rotarod activity
↓ Number of rearing
↑ TBARS
↓ SOD activity
↓ GPx activity
↓ Cerebellar Purkinje cell number
Melatonin (10 mg/kg) once daily through oral gavage during the gestational and lactational period.
Attenuates the effect on behavioral and biochemical alterations induced by Pb.
[188]
Wistar rats0.015% PbAc in drinking water from gestation until PD21 ↓ Exploratory, locomotory, cognitive impairment
↑ Analgesic reaction time
↑ Lipid peroxidation
↓ GSH levels
↓ The activity of SOD, catalase, GPx and glutathione reductase
Extract of Centella asiatica (200 mg of crude/kg body weight/day) from PD21 to PD60.
Prevents the behavioral and brain redox alterations induced by Pb.
[189]
Wistar rats0.2% PbAc in drinking water from gestational day 6 to PD21 ↓ Activity of serum ceruloplasmin oxidase (Cp), Mn-SOD, Cu/Zn-SOD, GPx, CAT, and xanthine oxidase
↑ Malondialdehyde (MDA) levels increased in the cerebellum and hippocampus
Calcium supplement (0.02% in Pb–water)
Reversed Pb toxicity
[190]
Sprague Dawley rats0.2% PbAc in drinking water during the gestational period ↑ Apoptotic cell deaths
↓ The number of Purkinje cells in the cerebellum
↓ Synaptophysin and NMDAr subtype 1 density
Ascorbic acid (100 mg/kg)
Reduces Bax and apoptotic neuronal death and prevents the impairment in cerebellar synaptic proteins.
[191,192]
Wistar rats20 mg PbAc/kg i.p. for 7 days ↑ Cortical lipid peroxidation, nitrate/nitrite levels, and inducible nitric oxide synthase expression
↓ Glutathione content, superoxide dismutase, catalase, glutathione peroxidase, glutathione reductase activity and mRNA expression
↓ Nuclear factor erythroid 2–related factor 2 (Nrf2) and hemoxygenase-1 (HO-1) expression.
↑ The cortical levels of serotonin, dopamine, norepinephrine, GABA, and glutamate,
↓ The level of ATP
Coenzyme Q10 (10 mg/kg i.p./7 days)
Restores the balance between oxidants and antioxidants, inhibiting the apoptotic cascade, and modulating cortical neurotransmission and energy metabolism.
[193]
Male Wistar rats0.2% PbAc daily for 3 months ↑ Malondialdehyde and total oxidant status in plasma
↓ The excitatory postsynaptic potentials slope and the population spike amplitude
Vitamin C (150 mg/kg, daily for 3 months)
Increases total antioxidant capacity inhibiting the effects of Pb
[194]
Sprague-Dawley (SD) rats0.2% PbAc during the gestational period to PD43Induces working memory deficits↓ Dendritic spine density
↓ SOD and GPx activity and expression in the hippocampus.
Kiwi fruit (12 mg/kg daily from 7 to 9 weeks old)
Alleviates cognitive deficits and restores the antioxidant environment
[195]
Male Sprague–Dawley rats200 ppm PbAc for 8 weeksImpaired spatial reference memory↑ Apoptotic cell death and the expression of Bax
↓ Bcl-2 protein expression
Genistein (1 mg/kg/day)
Diminishes impairment in cognitive function and protects neurons from Pb toxicity.
N-acetyl-l-cysteine (NAC; 1 mg/kg/day)
Prevents cognitive impairment and reduced cell death.
[196]
Wistar rats0.2% PbAc from
gestation to PD21
Induces learning and memory deficits↓ GSH content
↓ SOD activity
↑ MDA
Allicin (30 mg/kg allicin twice a day for 21 days)
Alleviates learning and memory deficits and reverts biochemical parameters altered by Pb.
[197]
Caenorhabditis elegans100 µM of PbAc for 24 hDecline of locomotion behaviors (frequencies of body bends, head thrashes, and reversal)↑ Intracellular ROS productionSe(IV) (0.01 µM)
Ameliorates locomotion behavioral alterations induced by Pb.
Decreases intracellular ROS and protects sensory neurons from Pb.
[198]
Sprague Dawley rats100 and 400 ppm PbAc for 15 days ↑ Synaptosomal lipid peroxidation, protein carbonylation and 3-nitrotyrosine levels
↓ Thiol content
Inhibits complexes II, III and IV of the mitochondrial respiratory and decreases ATP and transmembrane potential
MitoQ (500 μM for 15 days).
Prevents the oxidative damage induced by Pb. Alleviates mitochondrial dysfunction
[199]
Wistar rats0.2% PbAc in drinking water Impairment of synaptic plasticityQuercetin (30 mg/kg, for 7 days)
Prevent Pb alterations.
[200]
Male Sprague Dawley rats75 mg/kg PbAc for 4 weeksAnxiety and Aggression↓ Serotonin
↓ Reduced glutathione levels, antioxidant enzyme activity
↑ Lipid peroxidation and brain protein contents
Ascorbic acid (40 mg/kg)
Attenuates oxidative stress and abnormalities in behavior induced by Pb.
Tryptophan (20 mg/kg)
Ameliorates altered neurobehavior induced by Pb, with no significant effect on Pb induced oxidative stress in the brain.
[201]
ICR mice1% PbAc in drinking water for 38 daysDepression
Memory loss
↓ AChE activity
↑ Malondialdehyde levels
Xanthone derivative of Garcinia mangostana (100 and 200 mg/kg)
Increases AChE activity and decreases lipid peroxidation
Ameliorates depression-like effect and memory loss induced by Pb
[202]
Wistar rats0.2% PbAc solution was injected intraperitoneally Impaired synaptic transmission and plasticity in the hippocampus
↑ SOD activity and malondialdehyde
↑ Intracellular calcium
Monosialoganglioside (100 μg/mL microinjection into hippocampus).
Prevents the impairments of synaptic plasticity, antioxidant system function, and intracellular calcium levels
[203]
Wistar rats0.2% PbAc for 4 weeksAffects spatial reference memory ability.
Increases in the scape latency
↓ Body weight
↓ Decrease of antioxidant activities and BDNF content
Tanshinone IIA (4 and 8 mg/kg)
Improves antioxidant activities by increasing SOD activity and GSH and decreasing MDA levels
Prevents the impairment in the spatial reference memory.
[204]
ICR micedrinking water (1 g/L), 38 daysImpairment memory↓ AchE activityThunbergia laurifolia (100 and 200 mg/kg/day).
Attenuates cognitive impairment and increased AchE activity.
[205]
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Ramírez Ortega, D.; González Esquivel, D.F.; Blanco Ayala, T.; Pineda, B.; Gómez Manzo, S.; Marcial Quino, J.; Carrillo Mora, P.; Pérez de la Cruz, V. Cognitive Impairment Induced by Lead Exposure during Lifespan: Mechanisms of Lead Neurotoxicity. Toxics 2021, 9, 23. https://doi.org/10.3390/toxics9020023

AMA Style

Ramírez Ortega D, González Esquivel DF, Blanco Ayala T, Pineda B, Gómez Manzo S, Marcial Quino J, Carrillo Mora P, Pérez de la Cruz V. Cognitive Impairment Induced by Lead Exposure during Lifespan: Mechanisms of Lead Neurotoxicity. Toxics. 2021; 9(2):23. https://doi.org/10.3390/toxics9020023

Chicago/Turabian Style

Ramírez Ortega, Daniela, Dinora F. González Esquivel, Tonali Blanco Ayala, Benjamín Pineda, Saul Gómez Manzo, Jaime Marcial Quino, Paul Carrillo Mora, and Verónica Pérez de la Cruz. 2021. "Cognitive Impairment Induced by Lead Exposure during Lifespan: Mechanisms of Lead Neurotoxicity" Toxics 9, no. 2: 23. https://doi.org/10.3390/toxics9020023

APA Style

Ramírez Ortega, D., González Esquivel, D. F., Blanco Ayala, T., Pineda, B., Gómez Manzo, S., Marcial Quino, J., Carrillo Mora, P., & Pérez de la Cruz, V. (2021). Cognitive Impairment Induced by Lead Exposure during Lifespan: Mechanisms of Lead Neurotoxicity. Toxics, 9(2), 23. https://doi.org/10.3390/toxics9020023

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