Skip to main content
Download PDF

Developmental fluoride neurotoxicity: an updated review

Environmental Health volume 18, Article number: 110 (2019) Cite this article

Abstract

Background

After the discovery of fluoride as a caries-preventing agent in the mid-twentieth century, fluoridation of community water has become a widespread intervention, sometimes hailed as a mainstay of modern public health. However, this practice results in elevated fluoride intake and has become controversial for two reasons. First, topical fluoride application in the oral cavity appears to be a more direct and appropriate means of preventing caries. Second, systemic fluoride uptake is suspected of causing adverse effects, in particular neurotoxicity during early development. The latter is supported by experimental neurotoxicity findings and toxicokinetic evidence of fluoride passing into the brain.

Method

An integrated literature review was conducted on fluoride exposure and intellectual disability, with a main focus on studies on children published subsequent to a meta-analysis from 2012.

Results

Fourteen recent cross-sectional studies from endemic areas with naturally high fluoride concentrations in groundwater supported the previous findings of cognitive deficits in children with elevated fluoride exposures. Three recent prospective studies from Mexico and Canada with individual exposure data showed that early-life exposures were negatively associated with children’s performance on cognitive tests. Neurotoxicity appeared to be dose-dependent, and tentative benchmark dose calculations suggest that safe exposures are likely to be below currently accepted or recommended fluoride concentrations in drinking water.

Conclusion

The recent epidemiological results support the notion that elevated fluoride intake during early development can result in IQ deficits that may be considerable. Recognition of neurotoxic risks is necessary when determining the safety of fluoride-contaminated drinking water and fluoride uses for preventive dentistry purposes.

Peer Review reports

Background

In 2006, the U.S. National Research Council (NRC) evaluated the fluoride standards of the Environmental Protection Agency (EPA) and concluded that fluoride can adversely affect the brain through both direct and indirect means, that elevated fluoride concentrations in drinking-water may be of concern for neurotoxic effects, and that additional research was warranted [1]. At the time, and continuing through today, the EPA’s Maximum Contaminant Level Goal (MCLG) for fluoride was 4.0 mg/L that aimed at protecting against crippling skeletal fluorosis, which is still considered to be the critical adverse health effect from fluoride exposure [2]. Following the NRC review, evidence has accumulated that the developing human brain is inherently much more susceptible to injury from neurotoxic agents, such as fluoride, than is the adult brain [3]. A review and meta-analysis published in 2012 [4] assessed a total of 27 research reports, all but two of them from China, on elevated fluoride exposure and its association with cognitive deficits in children. All but one study suggested that a higher fluoride content of residential drinking water was associated with poorer IQ performance at school age. Only a couple of these studies had been considered by regulatory agencies [1, 5]. As much additional evidence has emerged since then, it seems appropriate to update the assessment of potential human neurotoxicity associated with elevated fluoride exposure, especially during early development.

The present review first outlines the importance of drinking water as a source of fluoride exposure, followed by the toxicokinetics of fluoride absorbed into the body, including passage through the placenta and the blood-brain barrier, and finally a brief summary of the experimental evidence of developmental neurotoxicity. All of this evidence supports the plausibility that elevated fluoride exposure in early life may cause adverse effects on the brain. The main part of this review addresses the epidemiological studies of fluoride neurotoxicity, with a focus on children and the dose-dependent impact of prenatal and early postnatal exposures.

Potential sources of fluoride exposure

Fluoride occurs in many minerals and in soil [6], thus also in groundwater; the average concentration in the U.S. is 0.26 mg/L [7]. Since the mid-1940s, fluoride has been added to many community water supplies with the aim of preventing tooth decay [8]. In the U.S., fluoridation is recommended at a concentration of 0.7 mg/L [9]. Water fluoridation is applied in several other countries as well, such as Australia, Brazil, Canada, Chile, Ireland, New Zealand, and the United Kingdom. For adults in the U.S., fluoridated water and beverages contribute an average of about 80% of the daily total fluoride intake (estimated to average 2.91 mg) in fluoridated communities [10]. In a Canadian study of pregnant women [11], water fluoridation was the major predictor of urinary fluoride excretion levels, with creatinine-adjusted concentrations of 0.87 mg/L and 0.46 mg/L in fluoridated (0.6 mg/L water) and non-fluoridated (0.12 mg/L) communities.

In addition to fluoridated water and other forms of caries prevention, tea is an important source of fluoride exposure, even if prepared with deionized water [12, 13]. Additional sources of fluoride intake include certain foods (such as sardines), industrial emissions, supplements, pesticide residues, and certain pharmaceuticals that can release fluoride [1]. Few studies provide population-based data on fluoride exposure, although national data on plasma-fluoride concentrations are available from a recent NHANES study in the U.S. [14].

Uptake, distribution and retention

Approximately 75–90% of ingested fluoride is absorbed and readily distributed throughout the body, with approximately 99% of retained fluoride being bound in calcium-rich tissues such as bone and teeth [6, 15] as well as the calcified parts of the pineal gland [16]. Fluoride also crosses the placenta and reaches the fetus [1, 6] and the amnionic fluid [17]. The fluoride concentration in breast milk is low, generally less than 0.01 mg/L [1, 18], and formula can therefore contribute much higher intakes, especially when prepared with high-fluoride water [19,20,21]. Children and infants retain higher proportions of absorbed fluoride compared to adults, i.e., about 80–90%, as compared to about 50–60% in adults [6, 15].

As drinking water is usually the major source of exposure, the community water-fluoride concentration has often been used as an exposure parameter in ecological studies. For individual exposure assessment, the total fluoride intake can be calculated from daily water consumption and the intakes of other major sources, such as tea. Analyses of biological samples, i.e., urine and blood (generally in the form of plasma or serum) provide information on fluoride circulating in the body [22]. In adults, the fasting plasma-fluoride concentration, when expressed in micromoles per liter [μmol/L], is approximately equal to the concentration in the drinking water or in the urine expressed in mg/L [1]. Fluoride excretion is mainly via urine, and the concentration represents both recent absorption and releases from long-term accumulation due to continuous bone tissue remodeling [6]. Pregnant women may show lower urinary fluoride levels than non-pregnant controls, perhaps due to fetal uptake and storage in hard tissues [23], although the urinary fluoride excretion tends to increase from the first to the third trimester [11, 24]. Children have lower urine-fluoride concentrations, most likely due to fluoride incorporation in the growing skeleton [1].

As indicator of daily intake [25, 26], urinary fluoride excretion is often assessed in spot urine samples, although morning urine or 24-h samples may provide better precision, as may be the case with timed excretion [27]. To adjust for temporal differences in urine production, fluoride concentrations in spot samples are usually standardized according to the creatinine concentration and/or relative density. These considerations are important when evaluating the validity of exposure assessments in epidemiological studies.

While the blood-brain barrier may to some extent protect the adult brain from many toxic agents, this protection is less likely in the fetus and small child with an incompletely formed barrier [28]. As indication that fluoride passes the blood-brain barrier, fluoride concentrations in human cerebrospinal fluid approach those occurring in serum [29]. Further, imaging studies of radioactive fluoride used in cancer treatment document that circulating fluoride reaches the brain [30,31,32,33]. Within the brain, fluoride appears to accumulate in regions responsible for memory and learning [34, 35].

As fluoride can pass both the placental barrier and the blood-brain barrier, it reaches the fetal brain [36]. Accordingly, autopsy studies in endemic areas in China have shown elevated fluoride concentrations in aborted fetal tissues, including brain [37, 38]. Also, fluoride concentrations in maternal and cord serum correlate well [39], cord blood showing slightly lower concentrations, apparently about 80% of the concentrations in maternal serum [40], though depending on gestational age [17]. Fetal blood sampling techniques have allowed documentation of elevated fluoride concentrations in the fetal circulation after administration of sodium fluoride to the mother [41]. Accordingly, assessment of fluoride in maternal samples during pregnancy may be used as indicator of fetal exposure.

Due to a well-established dose-response relationship between early-life fluoride exposure and the degree of dental fluorosis [6, 20, 42], this abnormality can serve as a useful biomarker of developmental fluoride exposure. When water fluoridation was first introduced in the middle of the twentieth century, U.S. health authorities estimated that less than 10% of children in fluoridated communities (at 1 mg/L water) would develop dental fluorosis, and only in its mildest forms [43]. Subsequent epidemiological studies have demonstrated prevalence and severity of fluorosis much higher than predicted [9, 44, 45]. Increased occurrence of dental fluorosis has also been recorded in fluoridated areas in the United Kingdom [46]. This increase may be related to the widened use of fluoridated water for beverages and food products for general consumption and for formula preparation for infants [19, 21], as well as increased usage (and ingestion) of fluoride-containing toothpastes among preschoolers [47].

Experimental neurotoxicity

In vitro studies have documented fluoride toxicity to brain cells, most of the studies using high fluoride concentrations, though some effects have been demonstrated at lower, more realistic levels [48, 49]. In the low-dose studies, 0.5 μmol/L (10 μg/L) was sufficient to induce lipid peroxidation and result in biochemical changes in brain cells [48], while 3 μmol/L (57 μg/L) induced inflammatory reactions in brain cells [49]. These concentrations are similar to the upper ranges of serum-fluoride levels reported in the general population [6]. In addition, fluoride can negatively affect brain development in rats at levels below those that cause dental lesions [50].

Utilizing computerized surveillance of rat behavior, a landmark study showed signs of neurotoxicity at elevated fluoride exposure [51], and more recent studies have reported fluoride-induced neurochemical, biochemical, and anatomic changes in the brains of treated animals, although often at doses much above human exposure levels. Among possible mechanisms of developmental neurotoxicity is toxicity to the thyroid gland [52], a mechanism relevant in regard to several neurotoxicants [53, 54]. Thus, the NRC concluded that fluoride is an endocrine disrupter that can affect thyroid function at intake levels as low as 0.01 to 0.03 mg/kg/day in individuals with iodine deficiency [1].

A 2016 review by the National Toxicology Program (NTP) focused on fluoride neurotoxicity in regard to learning and memory [55]. At water concentrations higher than 0.7 mg/L, NTP found a low-to-moderate level of evidence. The evidence was the strongest (moderate) in animals exposed as adults and weaker (low) in animals exposed during development, where fewer studies were available at relevant exposure levels. Most experimental studies had used concentrations exceeding the levels added to water in fluoridation programs, but the NTP recognized that rats require about five times more fluoride in their water to achieve the same serum-fluoride concentrations as humans [55].

Subsequently, several additional developmental studies have been published, including two that reported impaired learning/memory in rats consuming water with fairly low fluoride concentrations [56, 57]. However, not all studies have reported adverse effects [58], perhaps due in part to strain or species-related differences in vulnerability to fluoride. In addition, most animal studies used subchronic exposure scenarios and, due to the lack of fluoride transfer into milk, neonatal exposure was not considered, thereby likely underestimating the effect from early-life exposure. Overall, the experimental evidence of developmental neurotoxicity appears to be strengthened and to provide plausibility to the potential occurrence of neurodevelopmental effects in humans.

Methods

Publications on fluoride neurotoxicity in humans were identified from the PubMed data base by using “fluoride” along with search terms “neurotoxic*”, “neurologic”, and “intelligence”. The searches were narrowed by limiting to “human,” “most recent 10 Years,” and “English.” Additional searches using “fluoride” also included search terms “prenatal exposure delayed effects”[MeSH] or “neurotoxicity syndrome”[MeSH]. Secondary searches used combinations of fluoride with “maternal exposure” or “academic disorder, developmental”.

Supporting literature from earlier years was obtained by using the terms “occupational exposure” or “endemic disease”. References cited in the publications and in recent review reports [55, 59,60,61] were also retrieved, as were publications listed by PubMed under “Similar articles”. Because these articles may not represent an exhaustive list of relevant studies, separate searches included the web site of the journal Fluoride (http://www.fluorideresearch.org/) and the site (http://oversea.cnki.net/kns55/default.aspx) that covers many Chinese-language journals not included in PubMed. Full-text copies of all relevant studies were obtained, and studies were disregarded if no more than an abstract in English was available.

For the purpose of identifying safe exposure levels, regulatory agencies routinely use benchmark dose calculations [62]. While such calculations would normally require access to the original data, approximate BMD and BMDL results can be generated from descriptive data on associations between maternal urinary fluoride concentrations and the child’s IQ [63]. The benchmark dose (BMD) is the dose leading to a pre-defined change (denoted BMR) in the response (in this case, an IQ loss), when compared to comparable, but unexposed individuals. The BMR must be defined before the analysis [62], and recent practice suggests that a decrease in IQ of one point is an appropriate BMR [64,65,66,67].

In the above framework, the difference between the expected IQ level at the unexposed background (E [Y (0)]) and at the BMD (E [Y (BMD)]) is equal to the BMR:

$$ \mathrm{E}\ \left[\mathrm{Y}\ (0)\right]-\mathrm{E}\ \left[\mathrm{Y}\ \left(\mathrm{BMD}\right)\right]=\mathrm{BMR} $$

In a linear model (Y(d) = α + βd + ɛ), we get BMD = −BMR/β. The main result of the benchmark analysis is the benchmark dose level (BMDL), which is defined as a lower one-sided 95% confidence limit of the BMD. In the linear model

$$ \mathrm{BMDL}=-\mathrm{BMR}/{\upbeta}_{\mathrm{lower}} $$

where βlower is the one-sided lower 95% confidence limit for β [67]. Thus, in this model the benchmark results are a function of statistics routinely calculated in regression analysis.

For a linear dose-response model, epidemiological studies that report developmental fluoride exposure in regard to IQ will allow computation of BMD and BMDL based only on the regression coefficient and its uncertainty, assuming a Gaussian distribution.

Results

Occupational and endemic area studies

The neurotoxicity of chemicals is often first discovered from workplace exposures [68], later followed by case reports and small studies of highly-exposed children or pregnant women, then confirmed in population studies that are later complemented by prospective studies [69]. The same seems to be true of fluoride. A brief summary is therefore presented on the progress of this evidence before focusing on developmental exposures.

In connection with his seminal studies of occupational fluoride poisoning in the 1930s, Kaj Roholm reported evidence of nervous system effects in the Copenhagen cryolite workers [70]: “The marked frequency of nervous disorders after employment has ceased might indicate that cryolite has a particularly harmful effect on the central nervous system.” (p. 178). Later on, the Manhattan Project in the 1940s recorded neurological effects in workers exposed to uranium hexafluoride gas (UF6), and the “rather marked central nervous system effect with mental confusion, drowsiness and lassitude as the conspicuous features” was attributed to the fluoride rather than uranium [71].

Subsequent occupational health studies are somewhat harder to interpret, as fluoride exposure usually occurs as part of a mixture, e.g., in aluminum production [72]. Nonetheless, industrial fluorosis (a.k.a. osteosclerosis) was found to be associated with gradually progressive effects on the normal function and metabolism of the brain and other aspects of the nervous system [73], and a review highlighted difficulties with concentration and memory accompanied by general malaise and fatigue [74]. More recent studies have applied neuropsychological tests to assess cognitive problems associated with occupational fluoride exposures [75, 76]. The present literature search did not reveal any recent publications on neurotoxicity from occupational fluoride exposure. While Roholm [70] described unusually serious dental fluorosis in a son of a female cryolite worker, none of the occupational studies identified referred to adverse neurobehavioral effects in the progeny of female workers.

Opportunities for epidemiological studies of the general population depend on the existence of comparable groups exposed to different and stable amounts of fluoride, e.g., from drinking water. Such circumstances are difficult to find in many industrialized countries, as water-fluoride concentrations may not be well defined, residents may consume beverages from a variety of sources, and exposures are affected by residences changing over time. Multiple epidemiological studies of developmental fluoride neurotoxicity have been conducted in countries such as China where elevated water-fluoride concentrations may exceed 1 mg/L in many rural communities. In these settings, families typically remain at the same residence, with a well-defined water source that has provided fairly constant fluoride exposures.

Studies from high-fluoride endemic areas in China have reported on abnormal neuropathology findings from aborted fetuses [37] and lower nerve cell numbers and volumes in fetal brain tissue at the elevated exposures [38]. Deviations observed in neurotransmitters and receptors have suggested neural dysplasia [77], as later replicated along with decreased excitatory aspartic acid and elevated inhibitory taurine in comparison to controls [78]. Although these studies are in agreement with the notion that fluoride from the mother’s circulation can pass into the fetal brain with subsequent anatomic and biochemical changes, the studies related to elevated fluoride exposure originate primarily from coal burning, which may have contributed other, undocumented contaminants.

Additional community studies in adults have focused on cognitive problems and neurological symptoms in subjects with skeletal fluorosis. Using neuropsychological tests, including the Wechsler scale, 49 adult fluorosis patients were compared with controls and showed deficits in language fluency, recognition, similarities, associative learning, and working memory [79]. Further, cognitive impairment in elderly subjects from a waterborne fluorosis area was found to be much more common than in less-exposed controls [80]. Dementia diagnosis in North Carolina was more common at higher water-fluoride concentrations [81], and similar findings for fluoride (and aluminum) have recently been reported from Scotland [82]. Excess occurrence of neurological symptoms (i.e., headaches, insomnia, and lethargy) have also been recorded in both adults and children from waterborne fluorosis areas [83]. However, these studies are hard to evaluate due to uncertainty about past fluoride exposure levels and the possible influence of other risk factors. The literature search did not reveal any other recent studies that added important evidence in this regard.

Cross-sectional studies of children in exposed communities

Most studies that have investigated fluoride’s impact on childhood IQ are from locations in China with elevated exposure to fluoride, within and outside of known endemic areas [1, 4, 84]. When water supplies derive from springs or mountain sources, small or large pockets of increased exposures may be created near or within similar areas of lower exposures, thus representing useful epidemiology settings. The fluoride exposure from the household water would then represent the only or major difference between nearby neighborhoods. At the time, children in rural China had very little exposure to fluoridated dental products [85]. The local water-fluoride concentration can then serve as a feasible and appropriate exposure parameter, and some studies emphasized that the children were born in the particular study area, and/or had been using the same water supply since birth. Reliable exposure assessment then becomes possible when rural families remain for a long time at the same residence. Any deviation from stable exposure would result in exposure misclassification and thereby a likely underestimation of the toxicity [86]. Thus, the consistency of study findings supports the likelihood that developmental fluoride exposure causes cognitive deficits [4]. Although the study designs are technically cross-sectional, many of the settings allowed consideration of the current exposure as an indicator also of a longer-term exposure level.

Most study reports have not been widely disseminated and considered in literature reviews. Four studies from China that were published in English [87,88,89,90] were cited in the 2006 NRC report [1], while the World Health Organization (WHO) considered only two [87, 90] in its revised Environmental Health Criteria document on fluoride from 2002 [26]. A meta-analysis from 2007 included five studies [91], four of which were not in a subsequent review [84]. The latter review was cited by the EU Scientific Committee on Health and Environmental Risks (SCHER) working group in 2010 [5] in support of a conclusion that the evidence of neurotoxicity was insufficient.

A meta-analysis from 2012 was based on a collaboration with Chinese experts on fluoride toxicity and covered 27 cross-sectional studies reporting associations between children’s intelligence and their fluoride exposure [4]. Overall, children who lived in areas with high fluoride exposure had lower IQ scores than those who lived in low exposure or control areas, the average difference being close to 7 IQ points. These findings were consistent with an earlier review [84], but included nine more studies and more systematically addressed study selection, exclusion information, and bias assessment.

Two of the 27 studies that we included in the analysis were conducted in Iran [92, 93], while all other study populations were from China. Two cohorts were exposed to fluoride from coal burning [94, 95], but otherwise the study populations were exposed to fluoride through drinking water contaminated from soil minerals. Due to the use of different cognitive tests, normalized data were used to estimate the possible effects of fluoride exposure on intelligence. The results were materially unchanged in various sensitivity analyses, as were analyses that excluded studies with possible concerns about co-factors, such as iodine deficiency and arsenic toxicity, or non-water fluoride exposure from coal burning [4].

Among the 27 studies, all but one showed random-effect standardized mean difference (SMD) estimates that indicated an inverse association, ranging from − 0.95 to − 0.10 (one study showed a slight, non-significant effect in the opposite direction). The overall random-effects SMD estimate (and 95% confidence interval, CI) was − 0.45 (− 0.56, − 0.34). Given that the standard deviation (SD) for the IQ scale is 15, an SMD of − 0.45 corresponds to a loss of 6.75 IQ points. Although substantial heterogeneity was present among the studies, there was no clear evidence of publication bias [4]. Given the large number of studies showing cognitive deficits associated with elevated fluoride exposure under different settings, the general tendency of fluoride-associated neurotoxicity in children (p < 0.001) seems robust.

Recent cross-sectional studies of children

The present study presents an updated literature search that revealed 14 new studies on the association between early-life fluoride exposure and IQ in children (Table 1). All 14 studies reported apparent associations between elevated fluoride exposure and reduced intelligence, although one did not reach statistical significance. The several new Chinese-language studies showed similar associations between fluoride exposure and reduced IQ [96, 101,102,103, 105, 107, 108], although often published as short reports in national journals and according to the standards of science at the time. Similar findings were reported from India [98, 100, 110] and Africa [104, 106]. As with the previous reports, most of these newer studies suffer from limitations of covariate reporting, which limited the opportunity to assess possible bias. Also, a variety of outcomes have been employed, such as neuropsychological tests and Raven-based intelligence scales. Of note, fluoride exposure was accompanied by other contaminants from coal burning in some studies [96, 99, 101, 102]. Four studies used the degree of dental fluorosis as exposure parameter, and three of them reported a clear negative association with IQ [100, 103, 107], although statistical significance was not reached in one study [102]. The water-fluoride concentrations tended to be somewhat lower than in previous studies and thus more relevant to exposures occurring outside of endemic areas.

Table 1 Characteristics of 14 cross-sectional studies of fluoride exposure and children’s cognitive and developmental outcomes published after 2012
Full size table

To ascertain the validity of the methodology used in Chinese studies of fluoride neurotoxicity, my colleagues and I carried out a small study in Sichuan using methods commonly applied in Western neurobehavioral epidemiology [97]. The 51 children examined had lived in their respective communities all their life, i.e., at least since conception. All three measures of fluoride exposure showed negative associations for cognitive function tests. One exposure parameter was the known water-fluoride concentration at the residence where the child was born, another was the child’s morning urine-fluoride after having ingested fluoride-free water the night before (neither measure reached formal statistical significance as predictor of cognitive deficits). The strongest and statistically significant association was seen with the degree of dental fluorosis that served as a marker of the child’s early-life fluoride exposure. Other recent studies (Table 1) also found dental fluorosis to be a useful risk indicator. While one previous study in the U.S. failed to observe a relationship between dental fluorosis and behavior (parental assessment by the Child Behavior Checklist) [111], a dose-response relationship between urinary fluoride concentrations (range, 0.24–2.84 mg/L) and reduced IQ was reported in a population without any severe dental fluorosis [112].

A recent meta-analysis of waterborne fluoride exposures [60] covered 18 studies with water-fluoride concentrations below 4 mg/L; clear IQ reductions were observed at water-fluoride concentrations of about 1 mg/L and above. In addition, four cross-sectional studies reported linear relationships between urinary fluoride (one study also included plasma-fluoride) and IQ among children living in areas with mean water-fluoride contents of 1.4 mg/L, 1.5–2.5 mg/L, 1.4 mg/L, and 0.5–2.0 mg/L [99, 107, 109, 113].

Although meta-analysis of studies has previously been carried out [4, 60], the heterogeneity of the new studies and differences in exposure assessment and cognitive tests suggested that a joint analysis would require too many assumptions to provide useful evidence on the dose-dependence of neurotoxicity. The information summarized in Table 1 therefore serves as qualitative documentation that elevated fluoride exposure during early development is associated with cognitive deficits. Although the presence of confounding bias cannot be excluded, the fairly uniform findings under different study conditions would argue against any serious bias. The largest study, by far, reported an IQ loss of 4.29 (95% CI, 0.48–8.09) and 2.67 (0.68–4.67) for each increase by 0.5 mg/L in the fluoride concentration in water and urine, respectively [107]. A recent study with individual exposure data [109] reported lower losses of 0.79 (0.28–1.30) and 0.61 (0.22–0.99) IQ points for each increase by 0.5 mg/L in fluoride in water and urine, respectively. Of note, the ranges of exposures in these studies overlap with concentrations commonly reported from regions without endemic disease.

Prospective studies

More weight must be placed on prospective studies that include assessment of individual levels of fluoride exposures in early life (Table 2). Two prospective studies from New Zealand explored the possible neurobehavioral consequences of community water fluoridation. The first study reported no association between behavioral problems and residence in a fluoridated community during the first 7 years of life [114]. However, like the subsequent study, the authors had no access to individual measurements of fluoride exposure, and the exposure status relied solely on residence in a fluoridated community and its duration, where age at the time of residence was apparently not considered.

Table 2 Characteristics of the five prospective studies of fluoride exposure and children’s cognitive and neurobehavioral, developmental and cognitive outcomes
Full size table

A more comprehensive study was based on a birth cohort established in Dunedin, New Zealand from births in 1972–1973 [115]. The 1037 children were recruited at age 3 years, and IQ tests were administered at ages 7, 9, 11 and 13 years, and again at age 38; the average IQ result for 992 subjects was used for comparison between residents in areas with and without water fluoridation. No significant differences in IQ in regard to fluoridation status were noted, and this finding was independent of potential confounding variables that included sex, socioeconomic status, breastfeeding, and birth weight. Prenatal fluoride exposure was not considered. The average difference in childhood exposure between fluoridated vs. non-fluoridated areas was estimated to be 0.3 mg/day [117]. However, the 93 cohort subjects who did not live in a fluoridated area may well have received fluoride supplements, as was the case for a total of 139 children in the study, thereby impacting on the exposures [20]. A further concern is that formula may have contributed substantial fluoride exposure [19, 21], and it is therefore interesting that breastfeeding – and thus avoidance of formula – in the fluoridated areas contributed an advantage that averaged 6.2 IQ points at age 7–13 years, while the advantage was less (4.3) in the non-fluoridated areas [115]. Subsequently, the authors estimated the average total fluoride intake up to age 5 years, including tablets, toothpastes, and dietary sources, without finding any IQ difference [118]. However, information on maternal tea consumption during pregnancy was not obtained, although tea has long been recognized as an important source of fluoride in New Zealand [119]. Lead exposure in this cohort was later reported to cause IQ deficits [120], but control for the blood-lead concentration at age 9 years showed no change in the results for fluoride [117]. Despite the shortcomings, this study has been hailed as evidence that fluoridated water is “not neurotoxic for either children or adults, and does not have a negative effect on IQ” [121]. This conclusion seems rather optimistic [122], given the fact that the exposure assessment was imprecise (especially for prenatal exposure) and that the statistical power was probably insufficient to allow identification of any important IQ deficit.

More recent studies provide more robust evidence. In a prospective study from an area in Mexico with elevated levels of fluoride in drinking water, maternal pregnancy urine-fluoride (corrected for specific gravity) was examined for its association with scores on the Bayley Scales among 65 children evaluated at age 3–15 months [24]. The mothers in the study had average urine-fluoride concentrations at each of the three trimesters of pregnancy of 1.9, 2.0, and 2.7 mg/L (higher than the following study). The fluoride exposure indicators during first and second trimesters were associated with significantly lower scores on the Bayley Mental Development Index score after adjustment for covariates [24].

The existence of the ELEMENT (Early Life Exposure in Mexico to Environmental Toxicants) birth cohort allowed longitudinal measurements of urine-fluoride in pregnant mothers and their offspring and their associations with measures of cognitive performance of the children at ages 4 and 6–12 years [63]. The cohort had been followed to assess developmental lead neurotoxicity, and biobanked urine samples were available for fluoride analysis and adjustment for creatinine and density. Most of the mothers provided only one or two urine samples, thereby introducing some imprecision in the exposure estimate. Child cognitive function was determined by the General Cognitive Index (GCI) of the McCarthy Scale at age 4 years in 287 children, and IQ by an abbreviated Wechsler scale (WASI) at age 6–12 years in 211 children. Urinary fluoride (mg/L) in the mothers averaged 0.90 (s.d., 0.35) and, in the children, 0.82 (s.d., 0.38). Covariates included gestational age, birth weight, sex, parity, age at examination, and maternal characteristics, such as smoking history, marital status, age at delivery, maternal IQ, and education. After covariate adjustment, an increase in maternal urine-fluoride by 1 mg/L during pregnancy was associated with a statistically significant loss of 6.3 (95% CI, − 10.8; − 1.7) and 5.0 (95% CI, − 8.2; − 1.2) points on the GCI and IQ scores, respectively. These associations remained significant, and the effect sizes appeared to increase, in sensitivity analyses that controlled for lead, mercury, and socioeconomic status.

Although adjustment could not be made for iodine deficiency or arsenic exposure, any residual confounding was judged to be small in this population. Important strengths are that the cohort was followed from birth with meticulous documentation for lead exposure and other neurobehavioral risks. This study also ascertained the childhood fluoride exposure at the time of IQ testing (6–12 years) and found no indication of adverse impact on the IQ in the cross-sectional analysis [63].

Between 2008 and 2011, 2001 pregnant women were recruited into the Maternal-Infant Research on Environmental Chemicals (MIREC) cohort in Canada. A subset of 601 of their children were examined at age 3–4 years, slightly less than half of them residing in fluoridated communities [116]. Maternal spot urine samples were obtained from each of the three semesters of pregnancy, and results were analyzed for those 512 mother-child pairs where urine was available from all three semesters, so that the overall average urine-fluoride could be used as an exposure biomarker, with adjustment for specific gravity and creatinine. Information was obtained on food and beverage intakes, including tea (assuming a fluoride content of 0.52 mg in each cup of black tea). Intellectual abilities were assessed using the age-appropriate Wechsler scale that provided a full-scale IQ. Covariate adjustment included exposures to other neurotoxicants and other relevant covariates, such as sex, age at examination, and maternal exposure to indirect smoking, race, and education [116]. As had been shown by the same research group in a previous study of a larger population [11], women residing in fluoridated communities had higher urine-fluoride concentrations (0.69 vs 0.40 mg/L) and also higher calculated daily fluoride intakes from water and other beverages (0.93 vs. 0.30 mg/day). Regression analyses showed that an increase in urine-fluoride of 1 mg/L was associated with a statistically significant loss in IQ of 4.49 points in boys, though not in girls. An increase of 1 mg/L of fluoride in water and an increase of 1 mg/day of fluoride intake was associated with an IQ loss of 5.3 points and 3.66 points, respectively, for both boys and girls [116]. Thus, this study at somewhat lower exposures is in good agreement with the data from the two studies carried out in Mexico.

In an extension of the MIREC study of prenatal fluoride exposures, the authors subsequently assessed the possible impact of fluoride exposure from reconstituted formula in fluoridated and non-fluoridated communities [123]. After adjustment for prenatal fluoride exposure and other covariates, each increase by 1 mg/L in the water fluoride concentration was found to be associated with a statistically significant decrease of 8.8 IQ points in the children who had been formula-fed in the first 6 months of life, while no such difference was seen among the exclusively breastfed children. Although the results were somewhat unstable and included only 68 formula-fed children from fluoridated communities, these results support the notion that early postnatal brain development is also likely to be vulnerable to neurotoxicant exposures, as is well documented, e.g., from arsenic exposure in infancy [124].

The substantial IQ losses associated with elevated water-fluoride concentrations are in accordance with the difference of almost 7 IQ points between exposed groups and controls in the meta-analysis from 2012 [4]. Also, the largest cross-sectional study from 2018 showed a statistically significant loss of 8.6 IQ points for each increase by 1 mg/L in the fluoride concentration in water [107], although somewhat less in another recent study [109].

Several additional reports using other cognition measures are also of relevance. Another Canadian study analyzed data from two cycles of the Canadian Health Measures Survey (CHMS) [125]. Randomly measured urine-fluoride results from children aged 3-to-12 years were linked to parental reports or self-reported learning disabilities. When the two cycles of the CHMS were combined (both including at least 1100 subjects), unadjusted urine-fluoride was significantly correlated with an increased incidence of learning disabilities. However, this effect lost its statistical significance after controlling for creatinine and specific gravity. The authors concluded that there was no robust association between fluoride exposure and reported learning disability among Canadian children at the ages studied. However, the exposure assessment probably did not reflect the time of greatest vulnerability to fluoride, and the information on learning disability was somewhat uncertain, also in regard to the time of appearance. A more recent analysis relying on the same data showed that elevated fluoride in tap water was associated with an increased risk of Attention-Deficit/Hyperactivity Disorder (ADHD) symptoms and ADHD diagnosis among Canadian youth, although the association with ADHD was not present when urine-fluoride concentrations were used as exposure indicator [126].

A related study of the ELEMENT population showed that elevated prenatal fluoride exposure was associated with higher scores on the Conners’ Rating Scale and thus with tendencies toward inattention and development of ADHD [127].

These prospective studies from North America focused on prenatal and early postnatal exposure known as a key window of neurological vulnerability [69]. All of these studies relied on individual exposure indicators, thus providing substantial support to the conclusion that elevated fluoride exposure during early development can cause neurotoxicity.

Retrospective studies of fluoride neurotoxicity

A few retrospective studies are available but provide only weak evidence on the possible existence of fluoride-related neurotoxicity. A Swedish study utilized the register of military conscripts who underwent neurocognitive tests [128]. The authors then estimated the water-fluoride concentrations for each of the about 80,000 subjects based on their residential history, where the geographic location of the current residence was linked to a water supply with a known fluoride content. The study found no meaningful or consistent relationship between the test results and the home water-fluoride concentration (0 to 2 mg/L). The study did identify a relationship between water-fluoride and increased income, which the authors attributed to improved dental health. However, the study did not have access to specific individual fluoride exposure data, nor was developmental exposure assessed. This study is therefore non-informative due to the likely misclassification of any causative exposure.

In the U.S., parental reports on ADHD among 4-to-17-year-olds were collected from the National Survey of Children’s Health and combined with information on water fluoridation at state level [129]. The prevalence of artificial water fluoridation in 1992 predicted significantly the state prevalence of ADHD from the surveys in 2003, 2007 and 2011. After adjustment for socioeconomic status, each 1% increase in artificial fluoridation prevalence in 1992 was associated with approximately 67,000 to 131,000 additional ADHD diagnoses from 2003 to 2011. Given the state-level exposure assessment and the use of parental reports of ADHD, this ecological study has important weaknesses, although the findings are in agreement with other recent studies. However, the study has been criticized, as inclusion of mean elevation as a covariate apparently abolishes the significance of fluoridation as a predictor [130].

Overall, the retrospective studies are limited by exposure data that do not necessarily reflect early-life conditions and therefore add little weight to the information otherwise available on fluoride neurotoxicity in children.

Dose-dependence and benchmark doses

The studies reviewed show dose-dependent fluoride neurotoxicity that appears to be statistically significant at water concentrations of or below 1 mg/L, but the studies themselves do not identify a likely threshold. Regulatory agencies often use benchmark dose calculations to develop non-cancer health-based limits for dietary intakes, such as drinking water [62, 131]. One recent report [132] used this approach to generate benchmark results from a study of more than 500 children in China [89]. The authors used a high BMR of 5 IQ points, but results were also given for a more appropriate BMR of 1 IQ point. For the latter, the BMDL was calculated to be a daily intake level of 0.27 mg/day [132]. Using the average water intake of 1.24 L/day in non-pregnant women [133], the BMDL corresponds to a water concentration of 0.22 mg/L. The report did not provide data for urine-fluoride concentrations.

As described in the Methods section, the regression coefficients and their standard deviations, as provided in the published reports [63, 116], were applied to estimate tentative BMD values. Assuming linearity and Gaussian distributions, the right-hand columns of Table 3 show the calculated results for the two prospective studies with the maternal urine-fluoride concentration as the exposure parameter in regard to the cognitive function measures (both boys and girls). For the ELEMENT study, results for the larger number of children with CGI outcomes are also shown. Overall, the BMDL results appear to be in agreement.

Table 3 Adjusted differences in cognitive outcomes per mg fluoride per liter maternal urine (U-fluoride) during pregnancy, and benchmark dose results (boys and girls) in regard to maternal urinary fluoride excretion (mg/L urine adjusted for creatinine)
Full size table

The Table 3 results also appear to be reliable, given that the studies provide ample coverage of subjects with lower-level exposures close to the BMDL. The Canadian children had lower prenatal exposures than the Mexican study subjects, and along with the apparent lack of fluoride effects in girls, the BMD results are higher than in the ELEMENT study, although the greater uncertainty results in a fairly low BMDL. The results suggest a BMDL of about 0.2 mg/L or below, a level that is similar to the result calculated from the study in China [89, 132] and clearly below commonly occurring exposure levels, even in communities with drinking water fluoridation.

Plausibility and implications

The present review updates the conclusions from a 2012 meta-analysis of cross-sectional studies of intellectual deficits associated with elevated fluoride exposure [4]. Subsequent epidemiological studies have strengthened the links to deficits in cognitive functions, several of them providing individual exposure levels, though most of the new studies were cross-sectional and focused on populations with fluoride exposures higher than those typically provided by fluoridated water supplies. Prospective studies from the most recent years document that adverse effects on brain development happen at elevated exposure levels that occur widely in North America and elsewhere in the world, in particular in communities supplied with fluoridated drinking water [24, 63, 116, 123]. These new prospective studies are of very high quality and, given the wealth of supporting human studies and biological plausibility, leave little doubt that developmental neurotoxicity is a serious risk associated with elevated fluoride exposure, especially when this occurs during early brain development. While evidence on the neurotoxic impact of early postnatal exposure remains limited [21, 123], other neurotoxicity evidence suggests that adverse effects are highly plausible [124].

Research on laboratory animals confirms that elevated fluoride exposure is toxic to the brain and nerve cells, as already indicated by the NRC review [1]. The evidence today is substantially more robust. The NTP review placed more confidence in fluoride impairing learning in adult animals due to fewer experimental studies being available on developmental exposure [55]. Still, not all studies are in agreement [58], perhaps due to species or strain differences in vulnerability. However, fluoride is known to pass the placental barrier and to reach the brain, and the animal studies bear out the importance of the prenatal period for fluoride neurotoxicity. Toxicant exposures in early life can have much more serious consequences than exposures occurring later in life, and the developing brain is known to be particularly vulnerable [69]. Thus, the vulnerability of early brain development supports the notion that fluoride neurotoxicity during early life is a hazard of public health concern [134].

Dental fluorosis has been dismissed as a “cosmetic” effect only [6, 135, 136], but the association of dental changes with intellectual deficits in children [95, 97, 100, 103, 107, 112] suggests that dental fluorosis should no longer be ignored as non-adverse. Dental fluorosis may perhaps serve as a sensitive indicator of prenatal fluoride exposure, and information is needed to determine to which extent the time windows for dental fluorosis development in different tooth types [137] overlap with vulnerable periods for brain development.

Although the adverse outcome pathway is unclear, several epidemiological studies suggest that thyroid dysfunction is a relevant risk at elevated fluoride exposures. Thus, studies in children have reported deficient thyroid functions, including elevated TSH (thyroid stimulating hormone) at elevated fluoride exposure [138,139,140,141,142], and one study linked elevated fluoride exposure to both thyroid dysfunction and IQ deficits [109]. In Canada, elevated urine-fluoride was associated with increased TSH among iodine-deficient adults, though not in the general population, after exclusion of those with known thyroid disease [143]. In England, the diagnosis of hypothyroidism was nearly twice as frequent in medical practices located in a fully fluoridated area, as compared to non-fluoridated areas [144]. These findings are highly relevant to the neurotoxicity concerns, as thyroid hormones are crucial for optimal brain development [53, 54].

Given that fluoride is excreted only in minute amounts in human milk [1, 18], the focus on prenatal exposure appears justified, but formula-mediated neonatal exposures represent an additional concern, as indicated by dental fluorosis studies [137] and the most recent study from Canada [123]. The human brain continues to develop postnatally, and the period of heightened vulnerability therefore extends over many months through infancy and into early childhood [69]. Fluoride exposures during infancy are of special concern in regard to formula produced with fluoride-containing water [21, 145]. Unfortunately, current animal models do not appropriately cover neonatal fluoride exposure. Thus, future studies that focus on exposures prenatally, during infancy, and in later childhood may allow more detailed assessment of the vulnerable time windows for fluoride neurotoxicity.

One prospective study suggested that boys may be more vulnerable to fluoride neurotoxicity than girls [116]. Given that endocrine disrupting mechanisms often show sex-dependent vulnerability [146], further research is needed to understand the extent that males may require additional protection against fluoride exposure. Recent studies have also identified possible genetic predisposition to fluoride neurotoxicity [113, 147]. This means that some subgroups of the general population will be more vulnerable to fluoride exposure so that exposure limits aimed at protecting the average population may not protect those with susceptible genotypes, as has been shown, e.g., for methylmercury neurotoxicity [148]. The impact of iodine deficiency on fluoride vulnerability also needs to be considered [143].

Past studies of fluoride-exposed workers suggest possible neurotoxicity, but recent evidence rather points to possible accelerated aging in fluoride-exposed adults [80,81,82]. As has been proposed for other developmental neurotoxicity [134, 149], early-life exposure to fluoride deserves to be examined in regard to its possible impact on the risk of adult neurodegenerative disease.

Despite the growing evidence, health risks from elevated exposures to fluoride have received little attention from regulatory agencies. Thus, the EPA’s regulation of fluoride in water, most recently confirmed in 2016, is based on the assumption that crippling fluorosis is the most sensitive adverse effect [59]. The MCLG for fluoride (4 mg/L) may perhaps serve that purpose, but it is clearly not protective of adverse effects on the brain, especially in regard to early-life exposures. In its most recent review of fluoride [59], the EPA referred to the 2012 meta-analysis [4] and highlighted that IQ deficits occurred at water-fluoride concentrations “up to 11.5 mg/L”, although this level represented only the highest exposure in the 27 studies assessed. Neither the EPA nor a U.S. federal panel [9, 59] noted that most of the studies included in the review had water-fluoride concentrations below the MCLG of 4 mg/L. Thus, out of the 18 studies that provided the water-fluoride concentrations, 13 found deficits at levels below the MCLG, with an average elevated level at 2.3 mg/L, the lowest being 0.8 mg/L [4]. The results in Table 1 show that the recent cross-sectional results from different communities are in accordance with the previous review [4] and extend the documentation of cognitive deficits associated with only slightly elevated exposures.

The appearance of prospective studies that offer strong evidence of prenatal neurotoxicity should inspire a revision of water-fluoride regulations. The benchmark results calculated from these new studies, though tentative only at this point, support the notion that the MCLG is much too high. Depending on the use of uncertainty factors, a protective limit for fluoride in drinking water would likely require that the MCGL be reduced by more than a 10-fold factor, i.e., below the levels currently achieved by fluoridation.

The notion that fluoride is primarily a developmental neurotoxicant means that fluoride – an element like lead, mercury, and arsenic – can adversely affect brain development at exposures much below those that cause toxicity in adults. For lead and methylmercury, adverse effects in children are associated with blood concentrations as low as about 10 nmol/L. Blood-fluoride concentrations associated with elevated intakes from drinking-water may exceed 20 μg/L, or about 1 μmol/L, i.e., about 100-fold greater than the serum concentrations of the other trace elements that cause neurodevelopmental damage. Thus, although fluoride is neurotoxic, it appears to be much less potent than elements that occur at much lower concentrations in the Earth’s crust. Although substances that occur naturally in the biosphere may be thought to be innocuous, or even beneficial as in the case of fluoride, the anthropogenic elevations in human exposures may well exceed the levels that human metabolism can successfully accommodate [150].

Perhaps dentistry interests in promoting water fluoridation have affected the risk assessment and reduced the regulatory attention to fluoride toxicity. Thus, reports on fluoride toxicity have been disregarded under a heading referring to “Anti-Fluoridation Activities” [121], and our review article [4] was said to rely on “selective readings” [115], with IQ deficits occurring at high fluoride concentrations “up to 11.5 mg/L” [151], although most of the studies related to concentrations that were only slightly elevated. Further, an ecological study without individual exposure data [115] that failed to identify an association with IQ was considered as strong support of the safety of water fluoridation and more relevant to fluoridation policy than other evidence on neurotoxicity [121].

While water fluoridation continues to be recommended [9], the benefits appear to be minimal in recent studies of caries incidence [152]. Perhaps due to modern use of topical fluoride products, especially fluoridated toothpaste, countries that do not fluoridate the water have seen drops in dental cavity rates similar to those observed in fluoridated countries [153]. This finding is in agreement with the observation that fluoride’s predominant benefit to dental health comes from topical contact with the surface of the enamel, not from ingestion, as was once believed [154, 155]. Already in 2001, the U.S. Centers for Disease Control (CDC) concluded that fluoride supplementation during pregnancy did not benefit the child’s dental health [156]. Consensus has since then been building on the lack of efficacy of water fluoridation in preventing caries [152].

It therefore appears that population-based increase of systemic fluoride exposure may be unnecessary and, according to the evidence considered in this review, counterproductive. The focus should therefore shift from population-wide provision of elevated oral fluoride intake to consideration of the risks and consequences of developmental neurotoxicity associated with elevated fluoride exposure in early life. The prospective studies suggest that prevention efforts to control human fluoride exposures should focus on pregnant women and small children. In addition to drinking water, attention must also be paid to other major sources of fluoride, such as black tea [13]. Thus, excessive tea-drinking is known to potentially cause skeletal fluorosis [12], and the possible impact of tea drinking deserves to be considered along with other possible sources that may affect pregnant women and small children.

The evidence on fluoride neurotoxicity in the general population is fairly recent and unlikely to represent the full toxicological perspective, including adverse effects that may occur at a delay, as has been seen with many developmental neurotoxicants in the past [134]. While some ecological studies failed to identify clear evidence for fluoride neurotoxicity, they cannot be relied on as proof that elevated fluoride exposure is safe, in particular regarding early brain development. Recent prospective studies with individual exposure assessments provide strong evidence, and the large number of cross-sectional studies from populations with stable and well-characterized exposures provide additional support.

Conclusions

Previous assessment of neurotoxicity risks associated with elevated fluoride intake relied on cross-sectional and ecological epidemiology studies and findings from experimental studies of elevated exposures. The evidence base has greatly expanded in recent years, with 14 cross-sectional studies since 2012, and now also three prospective studies of high quality and documentation of individual exposure levels. Thus, there is little doubt that developmental neurotoxicity is a serious risk associated with elevated fluoride exposure, whether due to community water fluoridation, natural fluoride release from soil minerals, or tea consumption, especially when the exposure occurs during early development. Even the most informative epidemiological studies involve some uncertainties, but imprecision of the exposure assessment most likely results in an underestimation of the risk [86]. Thus, the evidence available today may not quite reflect the true extent of the fluoride toxicity. Given that developmental neurotoxicity is considered to cause permanent adverse effects [69], the next generation’s brain health presents a crucial issue in the risk-benefit assessment for fluoride exposure.

Availability of data and materials

N/A.

Abbreviations

ADHD:

Attention-Deficit/Hyperactivity Disorder

BMD:

Benchmark dose

BMDL:

Benchmark dose level

BMR:

Benchmark response

BSDI-II:

Bayley Scale of Infant Development II

CBRS:

Connors Behavior Rating Scales

CHMS:

Canadian Health Measures Survey

CI:

Confidence interval

CRT-RC:

Combined Raven’s Test-The Rural in China

DAP:

Draw-A-Person

EFSA:

European Food Safety Authority

ELEMENT:

Early Life Exposures in Mexico to Environmental Toxicants

EPA:

Environmental Protection Agency

GCI:

General Cognitive Index

IQ:

Intelligence Quotient

MCLG:

Maximum Contaminant Level Goal

MeSH:

Medical Subject Headings (PubMed)

MIREC:

Maternal-Infant Research on Environmental Chemicals

MSCA:

McCarthy Scales of Children’s Abilities

NRC:

National Research Council

NTP:

National Toxicology Program

RBS:

Rutter Behavior Rating Scales

RCPM:

Raven’s Colored Progressive Matrices

RSPM:

Raven’s Standardized Progressive Matrices

SD:

Standard Deviation

SMD:

Standardized Mean Difference

TSH:

Thyroid Stimulating Hormone

WASI:

Wechsler Abbreviated Scale of Intelligence

WISC-IV:

Wechsler Intelligence Scale for Children-Revised

WPPSI-III:

Wechsler Preschool and Primary Scale of Intelligence, 3rd edition

WRAML:

Wide Range Assessment of Memory and Learning

References

  1. 1.

    National Research Council. Fluoride in Drinking Water: A Scientific Review of EPA's Standards. Washington, D.C.: National Academy Press; 2006.

    Google Scholar 

  2. 2.

    U.S. Environmental Protection Agency. National Primary Drinking Water Regulations: Fluoride Final Rule and Proposed Rule. Fed Regist. 1985:47142–55.

  3. 3.

    Dobbing J. Vulnerable periods in developing brain. In: Davidson A, Dobbing J, editors. Applied Neurochemistry. Philadelphia: Davis; 1968. p. 287–316.

    Google Scholar 

  4. 4.

    Choi AL, Sun G, Zhang Y, Grandjean P. Developmental fluoride neurotoxicity: a systematic review and meta-analysis. Environ Health Perspect. 2012;120(10):1362–8.

    CAS  Article  Google Scholar 

  5. 5.

    Scientific Committee on Health and Environmental Risks (SCHER). Critical review of any new evidence on the hazard profile, health effects, and human exposure to fluoride and the fluoridating agents of drinking water. Brussels: European Commission; 2010.

    Google Scholar 

  6. 6.

    World Health Organization. In: Fawell J, Bailey K, Chilton E, Dahi E, Fewtrell L, Magara Y, editors. Fluoride in drinking-water. London: IWA Publishing; 2006.

    Google Scholar 

  7. 7.

    USDA. National Fluoride Database of selected beverages and foods, release 2. U.S. Department of Agriculture, Nutrient Data Laboratory: Washington, D.C; 2005.

    Google Scholar 

  8. 8.

    Centers for Disease Control and Prevention. Ten Great Public Health Achievements -- United States, 1900–1999. Morb Mortal Wkly Rep. 1999;48:241–3.

    Google Scholar 

  9. 9.

    U.S. Department of Health and Human Services. U.S. Public Health Service Recommendation for Fluoride Concentration in Drinking Water for the Prevention of Dental Caries. Public Health Reports. 2015;130:1–14.

    Article  Google Scholar 

  10. 10.

    U.S. Environmental Protection Agency. Fluoride: Exposure and Relative Source Contribution Analysis. Washington, DC: Health and Ecological Criteria Division, Office of Water, U.S. EPA; 2010.

    Google Scholar 

  11. 11.

    Till C, Green R, Grundy JG, Hornung R, Neufeld R, Martinez-Mier EA, Ayotte P, Muckle G, Lanphear B. Community water fluoridation and urinary fluoride concentrations in a National Sample of pregnant women in Canada. Environ Health Perspect. 2018;126(10):107001.

    CAS  Article  Google Scholar 

  12. 12.

    Kakumanu N, Rao SD. Images in clinical medicine. Skeletal fluorosis due to excessive tea drinking. N Engl J Med. 2013;368(12):1140.

    Article  Google Scholar 

  13. 13.

    Waugh DT, Godfrey M, Limeback H, Potter W. Black tea source, production, and consumption: assessment of health risks of fluoride intake in New Zealand. J Environ Public Health. 2017;2017:5120504.

    Article  CAS  Google Scholar 

  14. 14.

    Jain RB. Concentrations of fluoride in water and plasma for US children and adolescents: data from NHANES 2013-2014. Environ Toxicol Pharmacol. 2017;50:20–31.

    CAS  Article  Google Scholar 

  15. 15.

    O'Mullane DM, Baez RJ, Jones S, Lennon MA, Petersen PE, Rugg-Gunn AJ, Whelton H, Whitford GM. Fluoride and Oral health. Community Dent Health. 2016;33(2):69–99.

    CAS  Google Scholar 

  16. 16.

    Luke J. Fluoride deposition in the aged human pineal gland. Caries Res. 2001;35(2):125–8.

    CAS  Article  Google Scholar 

  17. 17.

    Ron M, Singer L, Menczel J, Kidroni G. Fluoride concentration in amniotic fluid and fetal cord and maternal plasma. Eur J Obstet Gynecol Reprod Biol. 1986;21(4):213–8.

    CAS  Article  Google Scholar 

  18. 18.

    Ekstrand J, Boreus LO, de Chateau P. No evidence of transfer of fluoride from plasma to breast milk. Br Med J (Clin Res Ed). 1981;283(6294):761–2.

    CAS  Article  Google Scholar 

  19. 19.

    Buzalaf MA, Granjeiro JM, Damante CA, de Ornelas F. Fluoride content of infant formulas prepared with deionized, bottled mineral and fluoridated drinking water. ASDC J Dent Child. 2001;68(1):37–41 10.

    CAS  Google Scholar 

  20. 20.

    Do LG, Levy SM, Spencer AJ. Association between infant formula feeding and dental fluorosis and caries in Australian children. J Public Health Dent. 2012;72(2):112–21.

    Article  Google Scholar 

  21. 21.

    Harriehausen CX, Dosani FZ, Chiquet BT, Barratt MS, Quock RL. Fluoride intake of infants from formula. J Clin Pediatr Dent. 2019;43(1):34–41.

    Article  Google Scholar 

  22. 22.

    Ekstrand J, Ehrnebo M. The relationship between plasma fluoride, urinary excretion rate and urine fluoride concentration in man. J Occup Med. 1983;25(10):745–8.

    CAS  Article  Google Scholar 

  23. 23.

    Opydo-Symaczek J, Borysewicz-Lewicka M. Urinary fluoride levels for assessment of fluoride exposure of pregnant women in Poznan, Poland. Fluoride. 2005;38(4):312–7.

    Google Scholar 

  24. 24.

    Valdez Jimenez L, Lopez Guzman OD, Cervantes Flores M, Costilla-Salazar R, Calderon Hernandez J, Alcaraz Contreras Y, Rocha-Amador DO. In utero exposure to fluoride and cognitive development delay in infants. Neurotoxicology. 2017;59:65–70.

    CAS  Article  Google Scholar 

  25. 25.

    Villa A, Anabalon M, Cabezas L. The fractional urinary fluoride excretion in young children under stable fluoride intake conditions. Community Dent Oral Epidemiol. 2000;28(5):344–55.

    CAS  Article  Google Scholar 

  26. 26.

    World Health Organization (International Programme on Chemical Safety): Fluorides. Environmental Health Criteria. Geneva: WHO; 2002;227.

  27. 27.

    Grandjean P, Horder M, Thomassen Y. Fluoride, aluminum, and phosphate kinetics in cryolite workers. J Occup Med. 1990;32(1):58–63.

    CAS  Article  Google Scholar 

  28. 28.

    Adinolfi M. The development of the human blood-CSF-brain barrier. Dev Med Child Neurol. 1985;27(4):532–7.

    CAS  Article  Google Scholar 

  29. 29.

    Hu YH, Wu SS. Fluoride in cerebrospinal fluid of patients with fluorosis. J Neurol Neurosurg Psychiatry. 1988;51(12):1591–3.

    CAS  Article  Google Scholar 

  30. 30.

    Gori S, Inno A, Lunardi G, Gorgoni G, Malfatti V, Severi F, Alongi F, Carbognin G, Romano L, Pasetto S, et al. 18F-sodium fluoride PET-CT for the assessment of brain metastasis from lung adenocarcinoma. J Thorac Oncol. 2015;10(8):e67–8.

    Article  Google Scholar 

  31. 31.

    Jones RP, Iagaru A. 18F NaF brain metastasis uptake in a patient with melanoma. Clin Nucl Med. 2014;39(10):e448–50.

    Article  Google Scholar 

  32. 32.

    Salgarello M, Lunardi G, Inno A, Pasetto S, Severi F, Gorgoni G, Gori S. 18F-NaF PET/CT imaging of brain metastases. Clin Nucl Med. 2016;41(7):564–5.

    Article  Google Scholar 

  33. 33.

    Wu J, Zhu H, Ji H. Unexpected detection of brain metastases by 18F-NaF PET/CT in a patient with lung cancer. Clin Nucl Med. 2013;38(11):e429–32.

    Article  Google Scholar 

  34. 34.

    Bhatnagar M, Rao P, Sushma J, Bhatnagar R. Neurotoxicity of fluoride: neurodegeneration in hippocampus of female mice. Indian J Exp Biol. 2002;40(5):546–54.

    CAS  Google Scholar 

  35. 35.

    Pereira M, Dombrowski PA, Losso EM, Chioca LR, Da Cunha C, Andreatini R. Memory impairment induced by sodium fluoride is associated with changes in brain monoamine levels. Neurotox Res. 2011;19(1):55–62.

    CAS  Article  Google Scholar 

  36. 36.

    Agency for Toxic Substances and Disease Registry (ATSDR). Toxicological profile for fluorides, hydrogen fluoride, and fluorine (update). Atlanta: ATSDR; 2003.

    Google Scholar 

  37. 37.

    He H, Cheng Z, Liu W. Effects of fluorine on the human fetus. Fluoride. 2008;41(4):321–6.

    CAS  Google Scholar 

  38. 38.

    Du L, Wan C, Cao X, Liu J. The effect of fluorine on the developing human brain. Fluoride. 2008;41(4):327–30.

    CAS  Google Scholar 

  39. 39.

    Shen YW, Taves DR. Fluoride concentrations in the human placenta and maternal and cord blood. Am J Obstet Gynecol. 1974;119(2):205–7.

    CAS  Article  Google Scholar 

  40. 40.

    Opydo-Szymaczek J, Borysewicz-Lewicka M. Transplacental passage of fluoride in pregnant polish women assessed on the basis of fluoride concentrations in maternal and cord blood plasma. Fluoride. 2007;40(1):46–50.

    CAS  Google Scholar 

  41. 41.

    Forestier F, Daffos F, Said R, Brunet CM, Guillaume PN. The passage of fluoride across the placenta. An intra-uterine study. J Gynecol Obstet Biol Reprod (Paris). 1990;19(2):171–5.

    CAS  Google Scholar 

  42. 42.

    Fejerskov O, Manji F, Baelum V. The nature and mechanisms of dental fluorosis in man. J Dent Res. 1990, 69 Spec No:692–700.

    Article  Google Scholar 

  43. 43.

    National Research Council. Report of the Ad Hoc Committee on the Fluoridation of Water Supplies. Washington, DC: National Research Council; 1951.

    Google Scholar 

  44. 44.

    Beltran-Aguilar ED, Griffin SO, Lockwood SA. Prevalence and trends in enamel fluorosis in the United States from the 1930s to the 1980s. J Am Dent Assoc. 2002;133(2):157–65.

    Article  Google Scholar 

  45. 45.

    Heller KE, Eklund SA, Burt BA. Dental caries and dental fluorosis at varying water fluoride concentrations. J Public Health Dent. 1997;57(3):136–43.

    CAS  Article  Google Scholar 

  46. 46.

    McDonagh MS, Whiting PF, Wilson PM, Sutton AJ, Chestnutt I, Cooper J, Misso K, Bradley M, Treasure E, Kleijnen J. Systematic review of water fluoridation. BMJ. 2000;321(7265):855–9.

    CAS  Article  Google Scholar 

  47. 47.

    Levy SM. A review of fluoride intake from fluoride dentifrice. ASDC J Dent Child. 1993;60(2):115–24.

    CAS  Google Scholar 

  48. 48.

    Gao Q, Liu YJ, Guan ZZ. Oxidative stress might be a mechanism connected with the decreased alpha 7 nicotinic receptor influenced by high-concentration of fluoride in SH-SY5Y neuroblastoma cells. Toxicol in Vitro. 2008;22(4):837–43.

    CAS  Article  Google Scholar 

  49. 49.

    Goschorska M, Baranowska-Bosiacka I, Gutowska I, Tarnowski M, Piotrowska K, Metryka E, Safranow K, Chlubek D. Effect of acetylcholinesterase inhibitors donepezil and rivastigmine on the activity and expression of cyclooxygenases in a model of the inflammatory action of fluoride on macrophages obtained from THP-1 monocytes. Toxicology. 2018;406-407:9–20.

    CAS  Article  Google Scholar 

  50. 50.

    Niu R, Sun Z, Wang J, Cheng Z, Wang J. Effects of fluoride and lead on locomotor behavior and expression of nissl body in brain of adult rats. Fluoride. 2008;41(4):276–82.

    CAS  Google Scholar 

  51. 51.

    Mullenix P, Denbesten P, Schunior A, Kernan W. Neurotoxicity of sodium fluoride in rats. Neurotoxicol Teratol. 1995;17:169–77.

    CAS  Article  Google Scholar 

  52. 52.

    Jiang Y, Guo X, Sun Q, Shan Z, Teng W. Effects of excess fluoride and iodide on thyroid function and morphology. Biol Trace Elem Res. 2016;170(2):382–9.

    CAS  Article  Google Scholar 

  53. 53.

    Zoeller RT, Crofton KM. Thyroid hormone action in fetal brain development and potential for disruption by environmental chemicals. Neurotoxicology. 2000;21(6):935–45.

    CAS  Google Scholar 

  54. 54.

    Rovet JF. The role of thyroid hormones for brain development and cognitive function. Endocr Dev. 2014;26:26–43.

    CAS  Article  Google Scholar 

  55. 55.

    National Toxicology Program (NTP). Systematic literature review on the effects of fluoride on learning and memory in animal studies. Research Triangle Park: National Institute of Environmental Health Sciences; 2016.

    Google Scholar 

  56. 56.

    Bartos M, Gumilar F, Gallegos CE, Bras C, Dominguez S, Monaco N, Esandi MDC, Bouzat C, Cancela LM, Minetti A. Alterations in the memory of rat offspring exposed to low levels of fluoride during gestation and lactation: involvement of the alpha7 nicotinic receptor and oxidative stress. Reprod Toxicol. 2018;81:108–14.

    CAS  Article  Google Scholar 

  57. 57.

    Chen J, Niu Q, Xia T, Zhou G, Li P, Zhao Q, Xu C, Dong L, Zhang S, Wang A. ERK1/2-mediated disruption of BDNF-TrkB signaling causes synaptic impairment contributing to fluoride-induced developmental neurotoxicity. Toxicology. 2018;410:222–30.

    CAS  Article  Google Scholar 

  58. 58.

    McPherson CA, Zhang G, Gilliam R, Brar SS, Wilson R, Brix A, Picut C, Harry GJ. An evaluation of neurotoxicity following fluoride exposure from gestational through adult ages in long-Evans hooded rats. Neurotox Res. 2018;34(4):781–98.

    CAS  Article  Google Scholar 

  59. 59.

    U.S. Environmental Protection Agency. Six-Year Review 3 - Health Effects Assessment for Existing Chemical and Radionuclide National Primary Drinking Water Regulations - Summary Report. Washington, DC: Office of Science and Technology, Office of Water, U.S. EPA; 2016.

    Google Scholar 

  60. 60.

    Duan Q, Jiao J, Chen X, Wang X. Association between water fluoride and the level of children's intelligence: a dose-response meta-analysis. Public Health. 2018;154:87–97.

    CAS  Article  Google Scholar 

  61. 61.

    Yadav KK, Kumar S, Pham QB, Gupta N, Rezania S, Kamyab H, Yadav S, Vymazal J, Kumar V, Tri DQ, et al. Fluoride contamination, health problems and remediation methods in Asian groundwater: a comprehensive review. Ecotoxicol Environ Saf. 2019;182:109362.

    CAS  Article  Google Scholar 

  62. 62.

    U.S. Environmental Protection Agency. Benchmark dose technical guidance. Washington, DC: Risk Assessment Forum, U.S. EPA; 2012.

    Google Scholar 

  63. 63.

    Bashash M, Thomas D, Hu H, Martinez-Mier EA, Sanchez BN, Basu N, Peterson KE, Ettinger AS, Wright R, Zhang Z, et al. Prenatal fluoride exposure and cognitive outcomes in children at 4 and 6-12 years of age in Mexico. Environ Health Perspect. 2017;125(9):097017.

    Article  Google Scholar 

  64. 64.

    U.S. Environmental Protection Agency. Proposed Lead NAAQS Regulatory Impact Analysis. Washington, DC: U.S. EPA; 2008.

    Google Scholar 

  65. 65.

    European Food Safety Authority. EFSA panel on contaminants in the food chain (CONTAM); scientific opinion on Lead in food. EFSA J. 2010;8(4):1570.

    Article  CAS  Google Scholar 

  66. 66.

    Gould E. Childhood lead poisoning: conservative estimates of the social and economic benefits of lead hazard control. Environ Health Perspect. 2009;117(7):1162–7.

    Article  Google Scholar 

  67. 67.

    Budtz-Jorgensen E, Bellinger D, Lanphear B, Grandjean P, International pooled Lead study I. An international pooled analysis for obtaining a benchmark dose for environmental lead exposure in children. Risk Anal. 2013;33(3):450–61.

    Article  Google Scholar 

  68. 68.

    Grandjean P, Landrigan PJ. Developmental neurotoxicity of industrial chemicals. Lancet. 2006;368(9553):2167–78.

    CAS  Article  Google Scholar 

  69. 69.

    Grandjean P. Only one chance. How environmental pollution impairs brain development – and how to protect the brains of the next generation. New York: Oxford University Press; 2013.

    Google Scholar 

  70. 70.

    Roholm K. Fluorine intoxication. A clinical-hygienic study, with a review of the literature and some experimental investigations. Fluorine intoxication. A clinical-hygienic study, with a review of the literature and some experimental investigations. London: H.K. Lewis; 1937.

    Google Scholar 

  71. 71.

    Mullenix PJ. Fluoride poisoning: a puzzle with hidden pieces. Int J Occup Environ Health. 2005;11(4):404–14.

    Article  Google Scholar 

  72. 72.

    Romundstad P, Haldorsen T, Ronneberg A. Exposure to PAH and fluoride in aluminum reduction plants in Norway: historical estimation of exposure using process parameters and industrial hygiene measurements. Am J Ind Med. 1999;35(2):164–74.

    CAS  Article  Google Scholar 

  73. 73.

    Duan J, Zhao M, Wang L, Fang D, Wang Y, Wang W. A comparative analysis of the results of multiple tests in patients with chronic industrial fluorosis. Guizhou Med J. 1995;18(3):179–80.

    Google Scholar 

  74. 74.

    Spittle B. Psychopharmacology of fluoride: a review. Int Clin Psychopharmacol. 1994;9(2):79–82.

    CAS  Article  Google Scholar 

  75. 75.

    Yazdi SM, Sharifian A, Dehghani-Beshne M, Momeni VR, Aminian O. Effects of fluoride on psychomotor performance and memory of aluminum potroom workers. Fluoride. 2011;44(3):158–62.

    CAS  Google Scholar 

  76. 76.

    Guo Z, He Y, Zhu Q. Research on the neurobehavioral function of workers occupationally exposed to fluoride. Fluoride. 2008;41(2):152–5.

    CAS  Google Scholar 

  77. 77.

    Yu Y, Yang W, Dong Z, Wan C, Zhang J, Liu J, Xiao K, Huang Y, Lu B. Neurotransmitter and receptor changes in the brains of fetuses from areas of endemic fluorosis. Fluoride. 2008;41(2):134–8.

    CAS  Google Scholar 

  78. 78.

    Dong Z, Wan C, Zhang X, Liu J. Determination of the contents of amino-acid and monoamine neurotransmitters in fetal brains from a fluorosis-endemic area. J Guiyang Med Coll. 1993;18:241–5.

    Google Scholar 

  79. 79.

    Shao QL, Wang Y, Li L, Li J. Initial study of cognitive function impairment as caused by chronic fluorosis. Chinese Journal of Endemiology. 2003;22(4):336–8.

    Google Scholar 

  80. 80.

    Li M, Gao Y, Cui J, Li Y, Li B, Liu Y, Sun J, Liu X, Liu H, Zhao L, et al. Cognitive impairment and risk factors in elderly people living in fluorosis areas in China. Biol Trace Elem Res. 2016;172(1):53–60.

    CAS  Article  Google Scholar 

  81. 81.

    Still CN, Kelley P. On the incidence of primary degenerative dementia vs water fluoride content in South Carolina. Neurotoxicology. 1980;1(4):125–31.

    CAS  Google Scholar 

  82. 82.

    Russ TC, Killin LOJ, Hannah J, Batty GD, Deary IJ, Starr JM. Aluminium and fluoride in drinking water in relation to later dementia risk. Br J Psychiatry. 2019;14:1–6. https://doi.org/10.1192/bjp.2018.287

  83. 83.

    Sharma JD, Sohu D, Jain P. Prevalence of neurological manifestations in a human population exposed to fluoride in drinking water. Fluoride. 2009;42(2):127–32.

    CAS  Google Scholar 

  84. 84.

    Tang Q, Du J, Ma H, Jiang S, Zhou X. Fluoride and children’s intelligence: a meta-analysis. Bio Trace Elem Res. 2008;126:115–20.

    CAS  Article  Google Scholar 

  85. 85.

    Zhu L, Petersen PE, Wang HY, Bian JY, Zhang BX. Oral health knowledge, attitudes and behaviour of children and adolescents in China. Int Dent J. 2003;53(5):289–98.

    Article  Google Scholar 

  86. 86.

    Budtz-Jorgensen E, Keiding N, Grandjean P. Effects of exposure imprecision on estimation of the benchmark dose. Risk Anal. 2004;24(6):1689–96.

    Article  Google Scholar 

  87. 87.

    Li X, Zhi J, Gao R. Effect of fluoride exposure on intelligence in children. Fluoride. 1995;28(4):189–92.

    CAS  Google Scholar 

  88. 88.

    Lu Y, Sun ZR, Wu LN, Wang X, Lu W, Liu SS. Effect of high-fluoride water on intelligence of children. Fluoride. 2000;33(2):74–8.

    CAS  Google Scholar 

  89. 89.

    Xiang Q, Liang Y, Chen L, Wang C, Chen B, Chen X, Zhou M. Effect of fluoride in drinking water on children’s intelligence. Fluoride. 2003;36(2):84–94.

    CAS  Google Scholar 

  90. 90.

    Zhao L, Liang G, Zhang D, Wu X. Effect of a high fluoride water supply on Children’s intelligence. Fluoride. 1996;29(4):190–2.

    Google Scholar 

  91. 91.

    Li FH, Chen X. Meta-analysis of the effect of endemic fluorosis on children’s intelligence development. Chinese Gen Pract. 2007;10(8):618–9.

    Google Scholar 

  92. 92.

    Poureslami H, Horri A, Atash R. High fluoride exposure in drinking water: effect on children’s IQ, one new report. Int J Pediatr Dent. 2011;21(Suppl 1):47.

    Google Scholar 

  93. 93.

    Seraj B, Shahrabi M, Falahzade M, Falahzade F, Akhondi N. Effect of high fluoride concentration in drinking water on Children’s intelligence. J Dental Med. 2006;19(2):80–6.

    Google Scholar 

  94. 94.

    Guo X, Wang R, Cheng C, Wei W, Tang L, Wang Q, Tang D, Liu G, He G, Li S. A preliminary exploration of IQ of 7–13 year old pupils in a fluorosis area with contamination from burning coal. Chinese Journal of Endemiology. 1991;10:98–100 (Also available: Fluoride 2008, 2041(2002):2125–2128).

    Google Scholar 

  95. 95.

    Li X, Hou G, Yu B, Yuan C, Liu Y, Zhang L, Chi C. Investigation and analysis of children’s intelligence and dental fluorosis in high fluoride area (in Chinese). J Med Pest Control. 2010;26(3):230–1.

    Google Scholar 

  96. 96.

    Wei N, Li Y, Deng J, Xu S, Guan Z. The Effects of Comprehensive Control Measures on Intelligence of School-Age Children in Coal-Burning-Borne Endemic Fluorosis Areas. Chin J Endemiol. 2014;33(3):320–4.

    Google Scholar 

  97. 97.

    Choi AL, Zhang Y, Sun G, Bellinger DC, Wang K, Yang XJ, Li JS, Zheng Q, Fu Y, Grandjean P. Association of lifetime exposure to fluoride and cognitive functions in Chinese children: a pilot study. Neurotoxicol Teratol. 2015;47:96–101.

    CAS  Article  Google Scholar 

  98. 98.

    Khan SA, Singh RK, Navit S, Chadha D, Johri N, Navit P, Sharma A, Bahuguna R. Relationship between dental fluorosis and intelligence quotient of school going children in and around Lucknow District: a cross-sectional study. J Clin Diagn Res. 2015;9(11):ZC10–5.

    Google Scholar 

  99. 99.

    Zhang PH, Cheng L. Effect of coal-burning endemic fluorosis on children's physical development and intellectual level. Chin J Control Endemic Dis. 2015;30(6):458–60.

    Google Scholar 

  100. 100.

    Das K, Kumar Mondal N. Dental fluorosis and urinary fluoride concentration as a reflection of fluoride exposure and its impact on IQ level and BMI of children of Laxmisagar, Simlapal Block of Bankura District, W.B., India. Environ Monit Assess. 2016;188:218.

    Article  CAS  Google Scholar 

  101. 101.

    Chang A, Shi Y, Sun H, Zhang L. Analysis on the effect of coal-burning fluorosis on the physical development and intelligence development of newborns delivered by pregnant women with coal-burning fluorosis. Chin J Control Endemic Dis. 2017;32(8):872–3.

    Google Scholar 

  102. 102.

    Jin T, Wang Z, Wei Y, Wu Y, Han T, Zhang H. Investigation of intelligence levels of children of 8 to 12 years of age in coal burning-related endemic fluorosis areas. J Environ Health. 2017;34(3):229–31.

    Google Scholar 

  103. 103.

    Dong L, Yao P, Chen W, Li P, Shi X. Investigation of dental fluorosis and intelligence levels of children in drinking water-related endemic fluorosis area of Xi’an. Chin J Epidemiol. 2018;37(1):45–8.

    Google Scholar 

  104. 104.

    Mustafa DE, Younis UM, Alla Elhag SA. The relationship between the fluoride levels in drinking water and the schooling performance of children in rural areas of Khartoum state, Sudan. Fluoride. 2018;51(2):102–13.

    CAS  Google Scholar 

  105. 105.

    Pang H, Yu L, Lai X, Chen Q. Relation Between Intelligence and COMT Gene Polymorphism in Children Aged 8–12 in the Endemic Fluorosis Area and Non-Endemic Fluorosis Area. Chin J Control Endemic Dis. 2018;33(2):151–2.

    Google Scholar 

  106. 106.

    Wakeel EL, Sehmawy EI, Hammouda SM, Ibrahim GE, Barghash SS, Elamir RY, Abdelwakeek A. Drinking water fluoride and intelligence quotient in school children. Clin Med Diagnost. 2018;8(3):45–52.

    Google Scholar 

  107. 107.

    Yu X, Chen J, Li Y, Liu H, Hou C, Zeng Q, Cui Y, Zhao L, Li P, Zhou Z, et al. Threshold effects of moderately excessive fluoride exposure on children's health: a potential association between dental fluorosis and loss of excellent intelligence. Environ Int. 2018;118:116–24.

    CAS  Article  Google Scholar 

  108. 108.

    Zhao Q, Niu Q, Chen J, Xia T, Zhou G, Li P, Dong L, Xu C, Tian Z, Luo C, et al. Roles of mitochondrial fission inhibition in developmental fluoride neurotoxicity: mechanisms of action in vitro and associations with cognition in rats and children. Arch Toxicol. 2019;93(3):709–26.

    CAS  Article  Google Scholar 

  109. 109.

    Wang M, Liu L, Li H, Li Y, Liu H, Hou C, Zeng Q, Li P, Zhao Q, Dong L, et al. Thyroid function, intelligence, and low-moderate fluoride exposure among Chinese school-age children. Environ Int. 2020;134:105229.

    CAS  Article  Google Scholar 

  110. 110.

    Trivedi MH, Verma RJ, Chinoy NJ, Patel RS, Sathawara NG. Effect of high fluoride water on intelligence of school children in India. Fluoride. 2007;40(3):178–83.

    Google Scholar 

  111. 111.

    Morgan L, Allred E, Tavares M, Bellinger D, Needleman H. Investigation of the possible associations between fluorosis, fluoride exposure, and childhood behavior problems. Pediatr Dent. 1998;20(4):244–52.

    CAS  Google Scholar 

  112. 112.

    Ding Y, Gao Y, Sun H, Han H, Wang W, Ji X, Liu X, Sun D. The relationships between low levels of urine fluoride on children's intelligence, dental fluorosis in endemic fluorosis areas in Hulunbuir, Inner Mongolia, China. J Hazard Mater. 2011;186(2–3):1942–6.

    CAS  Article  Google Scholar 

  113. 113.

    Cui Y, Zhang B, Ma J, Wang Y, Zhao L, Hou C, Yu J, Zhao Y, Zhang Z, Nie J, et al. Dopamine receptor D2 gene polymorphism, urine fluoride, and intelligence impairment of children in China: a school-based cross-sectional study. Ecotoxicol Environ Saf. 2018;165:270–7.

    CAS  Article  Google Scholar 

  114. 114.

    Shannon FT, Fergusson DM, Horwood LJ. Exposure to fluoridated public water supplies and child health and behaviour. N Z Med J. 1986;99(803):416–8.

    CAS  Google Scholar 

  115. 115.

    Broadbent JM, Thomson WM, Ramrakha S, Moffitt TE, Zeng J, Foster Page LA, Poulton R. Community water fluoridation and intelligence: prospective study in New Zealand. Am J Public Health. 2015;105(1):72–6.

    Article  Google Scholar 

  116. 116.

    Green R, Lanphear B, Hornung R, Flora D, Martinez-Mier EA, Neufeld R, Ayotte P, Muckle G, Till C. Association between maternal fluoride exposure during pregnancy and IQ scores in offspring in Canada. JAMA Pediatr. in press;2019, 173.

  117. 117.

    Broadbent JM, Thomson WM, Moffitt TE, Poulton R. Broadbent et al. Respond. Am J Public Health. 2016;106(2):213–4.

    Article  Google Scholar 

  118. 118.

    Broadbent JM, Thomson WM, Moffitt TE, Poulton R. Broadbent et al. Respond. Am J Public Health. 2015;105(4):e3–4.

    Article  Google Scholar 

  119. 119.

    Harrison MF. Fluorine content of teas consumed in New Zealand. Br J Nutr. 1949;3(2–3):162–6.

    CAS  Article  Google Scholar 

  120. 120.

    Reuben A, Caspi A, Belsky DW, Broadbent J, Harrington H, Sugden K, Houts RM, Ramrakha S, Poulton R, Moffitt TE. Association of Childhood Blood Lead Levels with Cognitive Function and Socioeconomic Status at age 38 years and with IQ change and socioeconomic mobility between childhood and adulthood. JAMA. 2017;317(12):1244–51.

    CAS  Article  Google Scholar 

  121. 121.

    Allukian M Jr, Wong C. Fluoridation update 2014. J Mass Dental Soc. 2014;63(2):24–30.

    Google Scholar 

  122. 122.

    Osmunson B, Limeback H, Neurath C. Study incapable of detecting IQ loss from fluoride. Am J Public Health. 2016;106(2):212–3.

    Article  Google Scholar 

  123. 123.

    Till C, Green R, Flora D, Hornung R, Martinez-Mier EA, Blazer M, Farmus L, Ayotte P, Muckle G, Lanphear B. Fluoride exposure from infant formula and child IQ in a Canadian birth cohort. Environ Int. 2019;134:105315.

    Article  CAS  Google Scholar 

  124. 124.

    Yorifuji T, Kato T, Ohta H, Bellinger DC, Matsuoka K, Grandjean P. Neurological and neuropsychological functions in adults with a history of developmental arsenic poisoning from contaminated milk powder. Neurotoxicol Teratol. 2016;53:75–80.

    CAS  Article  Google Scholar 

  125. 125.

    Barberio AM, Quinonez C, Hosein FS, McLaren L. Fluoride exposure and reported learning disability diagnosis among Canadian children: implications for community water fluoridation. Can J Public Health. 2017;108(3):e229–39.

    Article  Google Scholar 

  126. 126.

    Riddell JK, Malin AJ, Flora D, McCague H, Till C. Association of water fluoride and urinary fluoride concentrations with attention deficit hyperactivity disorder in Canadian youth. Environ Int. 2019;133(Pt B):105190.

    CAS  Article  Google Scholar 

  127. 127.

    Bashash M, Marchand M, Hu H, Till C, Martinez-Mier EA, Sanchez BN, Basu N, Peterson KE, Green R, Schnaas L, et al. Prenatal fluoride exposure and attention deficit hyperactivity disorder (ADHD) symptoms in children at 6-12years of age in Mexico City. Environ Int. 2018;121(Pt 1):658–66.

    CAS  Article  Google Scholar 

  128. 128.

    Aggeborn L, Ohman M. The effects of fluoride in drinking water. Uppsala: Institute for Evaluation of Labour Market and Education Policy; 2017. p. 1–83.

    Google Scholar 

  129. 129.

    Malin AJ, Till C. Exposure to fluoridated water and attention deficit hyperactivity disorder prevalence among children and adolescents in the United States: an ecological association. Environ Health. 2015;14:17.

    Article  CAS  Google Scholar 

  130. 130.

    Perrott KW. Fluoridation and attention deficit hyperactivity disorder - a critique of Malin and Till (2015). Br Dent J. 2018;223(11):819–22.

    CAS  Article  Google Scholar 

  131. 131.

    EFSA Scientific committee (EFSA). Guidance of the scientific committee on use of the benchmark dose approach in risk assessment. EFSA J. 2009;1150:1–72.

    Google Scholar 

  132. 132.

    Hirzy JW, Connett P, Xiang QY, Spittle BJ, Kennedy DC. Developmental neurotoxicity of fluoride: a quantitative risk analysis towards establishing a safe daily dose of fluoride for children. Fluoride. 2016;49(4):379–400.

    CAS  Google Scholar 

  133. 133.

    U.S. Environmental Protection Agency. Exposure Factors Handbook (Chapter 3 update). Washington, DC: U.S. EPA; 2019.

    Google Scholar 

  134. 134.

    Grandjean P, Landrigan PJ. Neurobehavioural effects of developmental toxicity. Lancet Neurol. 2014;13(3):330–8.

    CAS  Article  Google Scholar 

  135. 135.

    Newbrun E. What we know and do not know about fluoride. J Public Health Dent. 2010;70(3):227–33.

    Article  Google Scholar 

  136. 136.

    Aoba T, Fejerskov O. Dental fluorosis: chemistry and biology. Crit Rev Oral Biol Med. 2002;13(2):155–70.

    CAS  Article  Google Scholar 

  137. 137.

    Hong L, Levy SM, Broffitt B, Warren JJ, Kanellis MJ, Wefel JS, Dawson DV. Timing of fluoride intake in relation to development of fluorosis on maxillary central incisors. Community Dent Oral Epidemiol. 2006;34(4):299–309.

    Article  Google Scholar 

  138. 138.

    Susheela AK. Excess fluoride ingestion and thyroid hormone derangements in children living in Delhi, India. Fluoride. 2005;38(2):98–108.

    CAS  Google Scholar 

  139. 139.

    Hosur MB, Puranik RS, Vanaki S, Puranik SR. Study of thyroid hormones free triiodothyronine (FT3), free thyroxine (FT4) and thyroid stimulating hormone (TSH) in subjects with dental fluorosis. Eur J Dent. 2012;6(2):184–90.

    Article  Google Scholar 

  140. 140.

    Singh N, Verma KG, Verma P, Sidhu GK, Sachdeva S. A comparative study of fluoride ingestion levels, serum thyroid hormone & TSH level derangements, dental fluorosis status among school children from endemic and non-endemic fluorosis areas. Springerplus. 2014;3:7.

    Article  CAS  Google Scholar 

  141. 141.

    Khandare AL, Gourineni SR, Validandi V. Dental fluorosis, nutritional status, kidney damage, and thyroid function along with bone metabolic indicators in school-going children living in fluoride-affected hilly areas of Doda district, Jammu and Kashmir, India. Environ Monit Assess. 2017;189(11):579.

    Article  CAS  Google Scholar 

  142. 142.

    Kheradpisheh Z, Mahvi AH, Mirzaei M, Mokhtari M, Azizi R, Fallahzadeh H, Ehrampoush MH. Correlation between drinking water fluoride and TSH hormone by ANNs and ANFIS. J Environ Health Sci Eng. 2018;16(1):11–8.

    Article  Google Scholar 

  143. 143.

    Malin AJ, Riddell J, McCague H, Till C. Fluoride exposure and thyroid function among adults living in Canada: effect modification by iodine status. Environ Int. 2018;121(Pt 1):667–74.

    CAS  Article  Google Scholar 

  144. 144.

    Peckham S, Lowery D, Spencer S. Are fluoride levels in drinking water associated with hypothyroidism prevalence in England? A large observational study of GP practice data and fluoride levels in drinking water. J Epidemiol Community Health. 2015;69(7):619–24.

    CAS  Article  Google Scholar 

  145. 145.

    Fomon SJ, Ekstrand J. Fluoride intake by infants. J Public Health Dent. 1999;59(4):229–34.

    CAS  Article  Google Scholar 

  146. 146.

    Bergman A, Heindel JJ, Kasten T, Kidd KA, Jobling S, Neira M, Zoeller RT, Becher G, Bjerregaard P, Bornman R, et al. The impact of endocrine disruption: a consensus statement on the state of the science. Environ Health Perspect. 2013;121(4):A104–6.

    Article  Google Scholar 

  147. 147.

    Zhang S, Zhang X, Liu H, Qu W, Guan Z, Zeng Q, Jiang C, Gao H, Zhang C, Lei R, et al. Modifying effect of COMT gene polymorphism and a predictive role for proteomics analysis in children's intelligence in endemic fluorosis area in Tianjin, China. Toxicol Sci. 2015;144(2):238–45.

    CAS  Article  Google Scholar 

  148. 148.

    Julvez J, Davey Smith G, Ring S, Grandjean P. A birth cohort study on the genetic modification of the association of prenatal Methylmercury with child cognitive development. Am J Epidemiol. 2019;188(10):1784–93.

    Google Scholar 

  149. 149.

    Reuben A. Childhood Lead exposure and adult neurodegenerative disease. J Alzheimers Dis. 2018;64(1):17–42.

    Article  Google Scholar 

  150. 150.

    Schroeder HA, Mitchener M. Life-term effects of mercury, methyl mercury, and nine other trace metals on mice. J Nutr. 1975;105(4):452–8.

    CAS  Article  Google Scholar 

  151. 151.

    Allukian M Jr, Carter-Pokras OD, Gooch BF, Horowitz AM, Iida H, Jacob M, Kleinman DV, Kumar J, Maas WR, Pollick H, et al. Science, politics, and communication: the case of community water fluoridation in the US. Ann Epidemiol. 2018;28(6):401–10.

    Article  Google Scholar 

  152. 152.

    Iheozor-Ejiofor Z, Worthington HV, Walsh T, O'Malley L, Clarkson JE, Macey R, Alam R, Tugwell P, Welch V, Glenny AM. Water fluoridation for the prevention of dental caries. Cochrane Database Syst Rev. 2015;6:CD010856.

    Google Scholar 

  153. 153.

    Cheng KK, Chalmers I, Sheldon TA. Adding fluoride to water supplies. BMJ. 2007;335(7622):699–702.

    CAS  Article  Google Scholar 

  154. 154.

    Fejerskov O, Thylstrup A, Larsen MJ. Rational use of fluorides in caries prevention. A concept based on possible cariostatic mechanisms. Acta Odontol Scand. 1981;39(4):241–9.

    CAS  Article  Google Scholar 

  155. 155.

    Featherstone JD. The science and practice of caries prevention. J Am Dent Assoc. 2000;131(7):887–99.

    CAS  Article  Google Scholar 

  156. 156.

    Recommendations for using fluoride to prevent and control dental caries in the United States. Centers for Disease Control and Prevention. MMWR Recomm Rep. 2001;50(RR-14):1–42.

Download references

Acknowledgments

Esben Budtz-Jørgensen commented on the text and calculated the benchmark dose results. Howard Hu (ELEMENT study) and Christine Till (MIREC study) provided helpful comments and allowed me to publish the tentative benchmark calculations.

Funding

The author is supported by the NIEHS Superfund Research Program (P42ES027706).

Author information

Affiliations

  1. Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA

    Philippe Grandjean

  2. Department of Public Health, University of Southern Denmark, Odense, Denmark

    Philippe Grandjean

Authors
  1. Philippe Grandjean
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

The author read and approved the final manuscript.

Corresponding author

Correspondence to Philippe Grandjean.

Ethics declarations

Ethics approval and consent to participate

N/A.

Consent for publication

N/A.

Competing interests

The author is an editor-in-chief of Environmental Health but was not involved in the editorial handling of the manuscript submitted. The author recently served as a health expert in a lawsuit in the U.S. on the protection against fluoride neurotoxicity from fluoride in drinking water.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Grandjean, P. Developmental fluoride neurotoxicity: an updated review. Environ Health 18, 110 (2019). https://doi.org/10.1186/s12940-019-0551-x

Download citation

Keywords

  • Cognitive disorder
  • Dental caries
  • Drinking water
  • Fluoridation
  • Fluoride poisoning
  • Intellectual disability
  • Neurotoxic disorder
  • Prenatal exposure delayed effects

Environmental Health

ISSN: 1476-069X