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Review

How Adequate Are the Guidelines for Dietary and Workplace Exposure to Cadmium?

by
Soisungwan Satarug
Centre for Kidney Disease Research, Translational Research Institute, The University of Queensland, Woolloongabba, Brisbane, QLD 4102, Australia
Toxics 2026, 14(5), 408; https://doi.org/10.3390/toxics14050408
Submission received: 3 April 2026 / Revised: 1 May 2026 / Accepted: 6 May 2026 / Published: 8 May 2026

Abstract

Cadmium (Cd) is a heavy metal pollutant to which most people are exposed daily through their diet because of its presence in nearly all food types, including potatoes, vegetables, cereals, grains, legumes, shellfish, and organ meat. Cd has no physiological role or nutritional value in the body and causes toxicity to multiple tissues and organs via oxidative stress and chronic inflammation; as such, at high prevalence, it is frequently associated with diseases, notably cancer, heart disease, diabetes, osteoporosis, and chronic kidney disease. Using kidneys and bones as critical toxicity targets, current dietary Cd exposure guidelines vary from 0.21 to 0.83 μg/kg b.w./d. There is a widespread concern about these guidelines because they were based on the excretion of β2-microglobulin (β2M) at a rate of 300 µg/g of creatinine as an endpoint. Concerningly, rice is a staple food for over 50% of the world’s population; however, the permissible Cd level in this commodity has not been adequately addressed. This narrative review focuses on critiquing existing food standards and exposure guidelines for Cd. It discusses the threshold-based risk assessment that was used to define the no-observed-adverse-effect level (NOAEL) for Cd, when β2M excretion was used with Cd excretion at a rate of 5.24 µg/g of creatinine being a threshold. The estimated glomerular filtration rate (eGFR) is recommended as an appropriate kidney disease endpoint. The current view around how Cd uses various transport proteins to enter and induce toxicity to its target cells are summarized. The strategies to minimize Cd accumulation and mitigate its nephrotoxicity are highlighted.

Graphical Abstract

1. Introduction

Exposure to pollution from environmental cadmium (Cd) has been linked to worldwide rising prevalences of ill-health conditions, malignant and non-malignant diseases [1,2,3]. Hypertension [4] and iron deficiency anemia [5] are poor health conditions, while osteoporosis [6,7,8], type 2 diabetes [9,10] and chronic kidney disease (CKD) [11,12] are consistently found to be associated with environmental Cd exposure.
CKD is a highly prevalent disease, affecting 8–13% of adult population worldwide, reaching epidemic proportions in many parts of the world [1,2]. It is diagnosed when the estimated glomerular filtration rate (eGFR) falls to one-third of the normal range and/or the presence of albuminuria for at least 3 months [1,2]. A fall of eGFR at a high rate (≥3 mL/min/1.73 m2 per year) has been causally linked to environmental Cd exposure in a prospective cohort study from Switzerland (n = 4704, mean age 51.9 years, a mean follow-up 12.5 years) [13]. Using the Bradford–Hill Criteria, Hsu et al. presented evidence that strengthens causal relationships between Cd exposure and kidney and bone diseases in the general population [3].
Cd is a cumulative toxicant because its excretion rate is minuscule, resulting in a long half-life, varying from 7.4 to 30 years [14,15,16]. It preferentially accumulates within kidney tubular cells and is released into the urine as tubular cells die from any cause [17]. For this reason, Cd excretion is a reliable quantitative measure of cumulative exposure or the body burden of the metal [17,18]. Cd can cause damage to target cells via multiple mechanisms, such as oxidative stress and depletion of antioxidant defenses [1,2]. It can also induce functional iron (Fe) and zinc (Zn) deficiencies [5,13,19,20].
Concerningly, however, the health risk of Cd exposure has long been underappreciated as a result of using an inappropriate toxic endpoint in health risk estimation. Most frequently, an elevation in β2-microglobulin (β2M) excretion was used for such purposes [21,22]. As another concern, at-risk subpopulations, namely, children, women of childbearing age, and those with marginal Zn intake levels and low body Fe stores, have not been considered in computing the Cd health risk. Because of enhanced intestinal absorption of metals and immaturity of the blood–brain barrier, neonates, infants, and young children are more susceptible than adults to adverse effects of food-borne toxicants [23,24]. Moreover, relative to their body size, food intake is typically larger than that of adults; consequently, they are exposed to a higher dose of ingested toxicants [25,26].
Through the interference with mother-to-fetus Zn transport, maternal Cd exposure has been associated with infant low birth weight and neurodevelopment deficits, even though the passage of Cd from mother to fetus is minimal [27,28,29,30]. The ability of Cd to inhibit calcium (Ca) secretion by mammary glands has also been observed [31], along with the secretion of Cd into breast milk [31,32,33], raising concern about the potential for early-life Cd exposure, which can impact disease risk in adulthood [34,35,36] (Figure 1).
At present, around 15% of the world’s cultivation soils are contaminated with toxic metals, especially Cd, which is particularly prevalent in South and East Asia and parts of the Middle East and Africa [37]. Hence, there is a widespread concern that dietary Cd exposure in the population will gradually increase because Cd, being non-biodegradable, can persist indefinitely in soils, facilitating entry into the human food chain and its ubiquitous presence in our diet, especially staple foods. As Cd soil-to-plant transference continues, as does human exposure to the metal in the diet, the prevalence of Cd-related diseases will eventually reach an epidemic proportion.
This narrative review provides information relevant to public health policy regarding “safe” Cd exposure levels that are much lower than officially estimated. It calls for a paradigm shift in the criteria on which the toxicity of Cd is based. It highlights the inadequacy of existing food standards and exposure guidelines and underscores a conceptual flaw in using β2M excretion in toxicological risk assessment practice.
It underscores the use of advanced benchmark dose (BMD) modeling [38,39,40], especially in determining the BMD limit (BMDL) values, using eGFR decline as an endpoint [3,41,42]. Cd-induced eGFR loss reliably signifies CKD and its progression toward kidney failure. The advanced BMD modeling overcomes some shortcomings of the conventional toxicological risk assessment, involving the identification of a point of departure (POD) from a dose–response curve [43,44].
Additionally, mechanism-based mitigation for Cd toxicity to its target cells, involving exogenous heme oxygenase-1 (HO-1) inducers, is explored as a potential strategy to delay CKD progression.

2. Cadmium Exposure Limits and Toxicity Thresholds

In this section, environmental standards for Cd are highlighted along with a summary of toxicological risk assessment methodology that was used to define “safe” exposure levels. Presumably, intake of Cd from drinking water was insignificant, given that Cd levels in most portable water are below the Australian/New Zealand standard of 2 µg/L and the US EPA and WHO of 5 µg/L [43]. Therefore, exposure limits were determined based on its existence in the human diet, a principal source of Cd for most people. For workers, exposure limits were determined based on inhaled Cd that can enter the circulation from the lungs [43]. Figure 2 depicts pathways for Cd in food to its targets, e.g., bones and the proximal tubular cells of the kidneys.

2.1. Food and Environmental Safety Standards

The Codex Alimentarius set a permissible maximum level (ML) of Cd in rice at 0.4 mg/kg dry grain weight [53]. The European Food Safety Authority (EFSA) set the ML for Cd in this commodity at 0.2 mg/kg [54]. Rice contributed up to 90% of Cd exposure in an area of Vietnam with Cd contamination [55]. In comparison, rice and its products contributed 40–50% to dietary Cd exposure among women living in Cd-contaminated areas of Japan [56]. In Portugal, bread was identified as the main dietary source of Cd [57]. Potatoes contributed most to Cd intake by 1- and 2-year-old Dutch children [58]. Data from the Chinese National Diet and Nutrition Survey and the National Food Contamination Monitoring Program supported the ML for rice below 0.2 mg/kg [59]. Severe damage to kidneys and bones, such as that in Itai-Itai disease patients, may have occurred following ingestion of rice with Cd content of 0.27 mg/kg [60].

2.2. Toxicity Threshold Definition

A toxicity threshold is referred to as the highest dose that does not produce an adverse effect in the organ most sensitive to a health-hazardous substance of concern [43,44]. Thus, for a food contaminant like Cd that impacts multiple organs, a health-protective exposure guideline must be based on the most sensitive endpoint.

2.3. Official Dietary Exposure Guidelines

“Safe” dietary Cd exposure levels were derived from various international agencies, including the Food and Agriculture Organization and World Health Organization (FAO/WHO) Joint Expert Committee on Food Additives and Contaminants (JECFA) [61,62], EFSA [63], the US Food and Drug Administration (US FDA) [64] and the Agency for Toxic Substances and Disease Registry (ATSDR) [43].
Notably, however, different terms were used to describe the acceptable dietary exposure levels of Cd; nevertheless, most countries have adopted JECFA’s tolerable daily intake (TDI) and a threshold at urinary Cd excretion rate of 5.24 μg/g creatinine (Table 1).

2.3.1. JECFA/TDI

JECFA described the exposure guideline for any food contaminant as a provisional tolerable weekly intake (PTWI), meaning an estimate of the amount of a chemical with no intended function that can be ingested weekly over a lifetime without appreciable health risk [61,62]. The JECFA’s original PTWI for Cd was 400–500 µg/person/wk, revised to 7 µg/kg b.w./wk [61] before being 25 µg/kg b.w./m (TMI), equivalent to 0.83 μg/kg b.w./d (TDI) [62]. The PTWI, TMI, and TDI values for Cd were based on a permissible lifetime intake of 2 g of Cd, and β2M excretion rate at 300 µg/g of creatinine.
The Food Safety Commission of Japan has adopted the PTWI for Cd at 7 µg/kg b.w./wk (doi: 10.14252/foodsafetyfscj.D-24-00011) for the reason that the estimated dietary Cd intake in Japan in 2022 was 2.03 μg/kg b.w./wk, 29% of the PTWI figure.
The JECFA’s assumption of a “safe” lifetime intake level of Cd of 2 g was challenged by a prospective cohort study showing that a lifetime Cd intake of 1 g may have increased the mortality from kidney failure by 49% in women residing in a Cd-contaminated area of Japan [65]. The mortality risk was adjusted for potential confounders.
The proportion of the Portuguese population 18–74 years of age with Cd exposure levels higher than JECFA’s TDI was 5.4%, even though mean dietary Cd intake was low (0.19 µg/kg b.w./d) [56]. In comparison, the mean dietary Cd intake in the Chinese adult population was 34.3 µg/day (range: 22.6–54 μg/d), of which 15.4% had dietary Cd exposure levels exceeding JECFA’s TDI [66]. Fungi and algae had the highest Cd contents, followed by aquatic foods, nuts, cereals, beans, vegetables, meats, eggs, milk, and fruits.
Like Cd, lead (Pb) is another ubiquitous food contaminant for which the PTWI was derived as 25 μg/kg b.w./wk [61]. However, this guideline was withdrawn because of the absence of a threshold for Pb-induced neurotoxicity, meaning that no intake amount of Pb carries a negligible health risk [62].

2.3.2. EFSA/RfD

EFSA considered the kidneys to be the critical Cd toxicity target and used β2M excretion at a rate of 300 µg/g of creatinine as an endpoint. However, EFSA designated Cd excretion at a rate of 1 μg/g creatinine as a threshold level after an uncertainty factor (a safety margin) was included in a model to compensate for the variation in dietary Cd exposure levels among people [63]. EFSA designated dietary exposure to Cd at 0.36 μg/kg bw/d for 50 years as an acceptable dietary Cd exposure level and described it as a reference dose (RfD) [63].

2.3.3. US FDA/TRV

Dietary Cd exposure limits derived by the US FDA ranged between 0.21 and 0.36 μg/kg bw/d, assuming Cd excretion at a rate of 0.5 μg/g creatinine as a threshold level for both bone and kidney targets [64]. These US FDA’s acceptable exposure levels for Cd were called toxicological reference values (TRV), obtained through reverse dosimetry methodology with the physiologically based pharmacokinetics model [64].
Among US children aged 1–6 years, the food groups contributing most to Cd exposure were grains/baking, dairy and fruit and grains/baking and vegetables [67]. Respective mean value and 90th-percentile level for dietary Cd exposures were 0.43 and 0.71 μg/kg b.w./d, both of which were higher than the US FDA’s TRV but were within the JECFA’s TDI.
Because a threshold could not be established for the neurotoxicity of Pb, the US FDA has proposed a dietary Pb intake level of 12.5 μg/d as an interim dietary exposure guideline for adults [68]. This Pb exposure rate corresponds to a blood Pb concentration of 0.5 μg/dL, the internal dose that has not been associated with any adverse effect in adults [69].

2.3.4. ATSDR/MRL

ATSDR derived Cd exposure guidelines, known as minimal risk levels (MRL), using data from experimental animal dosing regimens [43]. With the bone target, an MRL of 0.5 µg/kg b.w./d was obtained for oral Cd exposure in an intermediate exposure duration (15–365 d). Data were from Wistar rats exposed to Cd as CdCl2 in drinking water at 0, 1, 5, or 50 mg/L for 6, 9, or 12 m [70,71,72].
With the lung target, an MRL value of Cd as Cd oxide (CdO) of 0.03 μg/m3 was obtained for acute inhalational exposure for 1−14 d [43]. Data were from Fisher F344 rats exposed to CdO at 0, 0.1, 0.3, 1, 3, or 10 mg CdO/m3 for 6.2 h/, 5 d/wk, for 2 wks [73].

2.4. Other Exposure Limits and Thresholds Derived for Oral Cd

Reported Cd exposure limits and thresholds are abundant, and they are highly variable, depending on methodology, demographic characteristics of study populations, toxicity targets and endpoint measures. A few studies are summarized below.
Sweden: Using data from 794 Swedish women, aged 53–64 years, Suwazona et al. identified a urinary Cd excretion rate of 1 µg/g of creatinine as a threshold for the osteoporosis endpoint [74]. This Cd excretion rate is the same as EFSA’s threshold for kidney effects (β2M endpoint) [63].
France: Leconte et al. derived oral Cd of 0.35 μg/kg b.w./d as an exposure limit figure for the French population, with Cd excretion at a rate of 0.5 μg/g creatinine being a threshold for decreased bone mineral density [75].
China: Qing et al. derived dietary Cd exposure limits, using Chinese population data with an average Cd exposure of 30.6 μg/d. For the bone target, the TDI value was 0.64 μg/kg b.w./d, and the Cd excretion rate of 1.71 μg/g creatinine was a threshold [76]. For the kidney target, the TDI value was 0.28 μg/kg b.w./d (16.8 µg/d for a 60 kg person), and Cd excretion rates of 3.07 and 2.93 μg/g creatinine were the threshold levels for the β2M and N-acetyl-β-D-glucosaminidase (NAG) endpoints, respectively [77].
Experimentation: Human TDI value for oral Cd exposure was 0.2 μg/kg b.w./d, using data from inbred pigs, exposed to Cd at 0, 0.5, 2, 8, or 32 mg Cd/kg of feed for 100 d [78]. This TDI was obtained after inclusion of an uncertainty factor of 100 to extrapolate data from pigs to humans. Unexpectedly, abnormal β2M excretion occurred at the highest Cd feeding dose, while abnormal excretion of retinal binding protein (RBP) was observed at the lowest Cd-dose level. The oral Cd dose levels resulting in abnormal excretion rates of RBP, NAG, Cd complexed with metallothionein (CdMT), and β2M were 0.67, 0.88, 1.00, and 3.08 mg/kg feed, respectively. Thus, β2M excretion was least sensitive to Cd, compared to RBP and NAG. These data cast considerable doubts on the use of β2M excretion as a basis to derive Cd exposure limits.

2.5. Cadmium Inhalational Exposure Limits for Workers

Similarly, the kidney target and β2M endpoint are used in the assessment of health risk from workplace exposure, which mostly involves an inhalational route [79]. As revealed in studies from Japan [80,81] and Korea [82], workers’ exposure limits at blood Cd concentration of 5 µg/L and Cd excretion at a rate of 5 μg/g creatinine did not provide sufficient protection against Cd toxicity to the kidneys. The authors concluded that current workers’ Cd exposure limits should be lowered, while monitoring and management of exposures among workers remain necessary [80,81].
Nogawa et al. [80] used data from 326 male and 114 female Japanese workers, and they estimated the BMDL value for a 40-year cumulative inhalational exposure to Cd to be 17.7 µg/m3. In addition, they found the warning blood Cd concentration to be between 1.8 and 2.0 µg/L, less than half of the current exposure limit of 5 µg/L [80]. Hoshino et al. analyzed data from 238 workers at two nickel-Cd battery plants in Japan; they observed that the risk of abnormal β2M excretion was increased 17% even though the geometric mean blood Cd level among workers was 1.97 μg/L [81]. This blood Cd level associated with abnormal β2M excretion in workers was similar to that reported by Nogawa et al. [80].
Choi et al. analyzed data from Korean workers of a small-scale silver soldering company who were exposed to air Cd concentrations of 6–15 µg/m3 [82]. They observed alarmingly high Cd excretion rates [mean (range) of 22.15 (3.23–62.97) μg/g creatinine] together with elevated urinary concentrations of β2M and total protein [82].
In a case report, a male jewelry worker developed hypophosphatemic osteomalacia following exposure to a high dose of Cd in fumes [83,84]. His blood Cd level was 6 times higher than the permissible workplace exposure level at 5 µg/L, while his 24 h urinary Cd excretion was 51 µg [83]. He also had hypochromic microcytic anemia, most likely from Cd-induced functional iron deficiency [5,20,85], plus an elevation in circulating levels of the bone-derived hormone, fibroblast growth factor 23 (FGF23), which suppresses erythropoietin synthesis in the kidneys, while reducing kidney tubular reabsorption of phosphate [86,87].

2.6. Specific Recommendations for Policy Makers

Using Cd concentrations in foods, estimated Cd exposure from the diet among average and high consumers was 30 and 93.5 µg/d, respectively [88] (Table 2).
Foods that are frequently consumed in large quantities, like cereals, pulses, legumes, rice, and wheat, contribute the most to Cd exposure [88]. Therefore, it is recommended that the permissible Cd levels in food crops and feeds should be set at the lowest achievable levels, e.g., 0.05–0.10 mg/kg for rice, potatoes, and wheat.
Exposure guidelines should be developed for children, pregnant women, and individuals with iron/zinc deficiency who are more sensitive to Cd. The cumulative feature of Cd means that a critical exposure level (threshold) may not exist. This is evident from a meta-analysis, where a nearly two-fold increase in risk of osteoporosis was found in both low- and high-Cd exposure groups [89].
Excretion of Cd signifies nephrotoxicity in progress, not predicting future health risk [17,78]. This is because excreted CdMT and NAG both emanate from kidney tubular cells. Urinary CdMT has long been misinterpreted as the filtered CdMT, which was not reabsorbed by kidney tubular cells. The misconception and its ramifications are discussed by Thévenod and Lee, along with the cutting-edge knowledge on Cd nephrotoxicity [90].
For an accurate health risk computation, the interindividual differences in functioning nephrons and muscle mass should be eliminated by normalizing the excretion of Cd and nephrotoxicity indicators, namely, NAG and RBP, to creatinine clearance (Ccr) instead of creatinine excretion (Ecr) [42].

3. Cd Excretion Threshold Levels Based on Disease Endpoints

Data from studies on Cd exposure and adverse health effects in the general populations and metal workers (Section 2) have repeatedly indicated the inadequacy of existing food standards and official exposure guidelines to protect the population’s health.
In this section, the derivation of the critical exposure level/thresholds, known as the benchmark dose (BMD) limit (BMDL), is discussed, focusing on kidney disease manifestation of Cd exposure in comparison to nephrotoxicity indicators, like β2M, RBP and NAG [91].

3.1. Excretion of Low-Molecular-Weight Proteins: Tubular Proteinuria

Excretion of β2M and other low-molecular-weight proteins, namely, α1-microglobulin (α1M), and RBP, has been used in assessing Cd effects [1,2]. These proteins, with a molecular weight <20 kDa, readily pass through the glomerular membrane into the tubular lumen, are reabsorbed, and are degraded within proximal tubular cells of the kidney [91].
In theory, the excretion rate of any of these proteins is a function of its synthesis, glomerular filtration rate, kidney tubular reabsorption, and degradation. Thus, a rise in its production for any reason, a fall in eGFR due to nephron loss, defective tubular reabsorption, or degradation, can all lead to an increase in its excretion (Figure 3).
A close examination of the parameters influencing β2M homeostasis in Thai subjects, exposed to low levels of Cd, has revealed that β2M excretion could not be used as a measure of tubular dysfunction [93]. The variation among people in the influx of β2M from cells into plasma is so large that β2M excretion is unrelated to its reabsorption and degradation by kidney tubules. There is no basis to estimate permissible dietary Cd exposure levels using β2M excretion at a rate as high as 300 µg/g of creatinine.

3.2. From NOAEL to BMDL

The practice of toxicological risk assessment involves determining from a dose–response curve a point of departure (POD), which represents the dose at which a specific adverse effect is first observed, or at which a response deviates from a baseline or control [43,44]. POD serves as a starting point to evaluate the potential health impact of exposure to a hazardous substance.
Typically, the POD figure is determined from a dose–response curve, constructed from experimental dosing, which often involves daily administration of 4–5 different doses for 90 days or longer [94,95,96]. From a dose–response curve, a POD may be established from the lower bound “no-observed-adverse-effect level” (NOAEL) and the upper bound “lowest-observed-adverse-effect level” (LOAEL).
The NOAEL value is referred to as the highest dose tested that produces an insignificant effect compared to controls. To convert NOAEL to the BMD lower limit (BMDL), the NOAEL is divided by an uncertainty factor that accounts for species differences and human variability [43,44]. The incorporation of an uncertainty factor to extrapolate data from pig dosing experimentation obtained a Cd exposure limit 4 times lower than the JECFA’s TDI [78] (Section 2.4).
A clear dose–response relationship is a prerequisite to estimate the NOAEL (BMDL) figure for exposure to any health-hazardous substance. However, reliance on a single mathematical dose–response model (equation), such as the Hill model, can lead to erroneous estimates of the NOAEL (BMDL) values of Cd excretion, as is the use of cut-off values to define abnormal excretion rates of nephrotoxicity biomarkers.

3.3. Multiple Mathematical Dose–Response Models: The Akaike Information Criterion (AIC)

The advanced BMD method involves fitting an entire exposure–effect dataset to multiple mathematical dose–response models, in which a specific effect size, termed benchmark response (BMR), is pre-defined [43,44,96]. In PROAST BMD software, version 71.1, four mathematical dose–response (MDR) models and seven MDR models are used for fitting continuous dose-effect data and dichotomous data, respectively [38,39,40,96].
The Akaike information criterion (AIC) evaluates how well each model fits the data [96]. The AIC accounted for both goodness of fit and model simplicity, thereby balancing the risk of overfitting and underfitting of the data. The model weight is relative to the amount of information lost by a given model: the less loss, the higher the weight and the higher quality of that model. The shape and steepness of the slope provide additional insight into exposure-effect pairs [38,39,40].
The BMDL value of any exposure indicator is defined as the lower 95% confidence bound of the BMD, computed at a 5% BMR. The BMDL value derived in this manner has replaced NOAEL, which can serve as a representative of a critical exposure level [44,96].
Bootstrapping with 200 repeats or more is used to determine BMD and 95% confidence intervals [96]. The difference between the lower bound (BMDL) and upper bound (BMDU) of the 95% confidence interval (CI) of the BMD reflects the statistical uncertainties in the BMD estimates. A narrow difference indicates a high degree of certainty of the estimated BMD figures. Conversely, a wide difference, e.g., a BMDU/BMDL ratio ≥ 100, indicates unreliable BMD estimates [44].

3.3.1. BMDL Values of Cd Excretion Derived from the β2M vs. eGFR Endpoints

A population of people, exposed to a wide range of Cd doses, is required to derive BMDL values of Cd excretion rates for various nephrotoxicity endpoints. Accordingly, the Mae Sot District in Western Thailand, where Cd pollution is endemic [97], has provided a well-circumscribed population of people with dietary exposure levels that would enable assessment of the health impact of Cd exposure.
The Cd concentration of the paddy soil samples from the area was higher than the Thailand standard of 0.15 mg/kg, and the rice samples collected from household storage contained four times the standard Cd level of 0.1 mg/kg [98]. An inverse association was observed between excretion of β2M and eGFR only in those with eGFR values within the CKD signified range, and risk of CKD rose 4.7-fold as β2M excretion rose from 100 to 300 μg/g cr [99]. Thus, an elevation of β2M excretion could be indicative of nephron loss, which caused a fall in eGFR [99]. In a dose–response analysis, CKD risk rose 4.7-fold, 6.2-fold, and 10.5-fold at β2M excretion rates of 100–299, 300–999, and ≥1000 μg/g cr, respectively [100].
To reassess the Cd excretion threshold based on β2M excretion, in comparison with the eGFR reduction, Satarug et al. employed data from 799 Thai nationals, 18–87 years of age, selected from a large cohort of the residents of low-exposure areas and moderate-to-high exposure locations of the Mae Sot District [101].
Cd excretion rates among cohort participants ranged between 0.03 and 106 µg/g of creatinine (geometric mean 2.15 µg/g of creatinine). Age and BMI distributions conformed to a normal distribution [42]. The dose–response curves and benchmark Cd excretion rates using β2M and eGFR as endpoint measures are provided in Figure 4 and Figure 5, respectively.
The Cd excretion benchmark could not be reliably determined, as a 5% increase in β2M excretion was an endpoint, evident in the BMDU/BMDL ratio > 100 (Figure 4). In comparison, the benchmark Cd excretion rate of 0.17 µg/g of creatinine was obtained when a 5% reduction in eGFR was used as the endpoint (Figure 5). The BMDU/BMDL ratio of the benchmark Cd excretion was 16.9, meaning a high degree of certainty in the estimates. The use of the eGFR endpoint is recommended for future derivation of health-protective exposure limits for C because eGFR decline at a high rate signifies kidney disease.

3.3.2. BMDL Values of Cd Excretion Derived from Human Population Data

Table 3 provides BMDL values of Cd excretion rates for different nephrotoxicity endpoints, using data from the general Chinese, Japanese and Thai populations.
Conventional BMD: Wang et al. employed a conventional BMD method to identify the BMDL values of Cd excretion at 5% and 10% prevalences of abnormal excretion of RBP, NAG and β2M [102]. The data used were from 934 (469 men, 465 women), aged 10–71 years, who were residents of Jiangshan City, Zhejiang, China [102]. For men, BMDL5 (BMDL10) values of Cd excretion were 0.89 (1.59), 0.62 (1.30), and 0.49 (1.04) μg/g of creatinine for the RBP, β2M, and NAG, respectively. Corresponding benchmark Cd excretion rates in women were 0.76 (1.53), 0.64 (1.34), and 0.65 (1.37) μg/g of creatinine.
Suwazono et al. identified Cd excretion rates of 0.6–1.2 and 0.6–2.3 µg g of creatinine as BMD values for abnormal β2M excretion in men and women, respectively [103]. They used data from 410 men and 418 women, aged 40–59 years, who lived in areas of Japan without Cd pollution [103]. The lower BMD estimates for abnormal β2M excretion in Japanese men and Japanese women were close to the BMDL5 values of Cd excretion in the Chinese study [102].
Advanced BMD: Satarug et al. used an advanced BMD method to determine Cd excretion benchmarks, with NAG excretion increased by 5% [104]. They used data from 734 Thai nationals (289 men and 445 women), 18–87 years of age (mean 48.1 years). Cd excretion benchmarks with 5% increase in NAG excretion in men and women were 0.060 and 0.069 µg/g of cr, respectively.
Using β2M excretion rates ≥ 300 μg/g creatinine as an endpoint, the BMDL10 values of Cd excretion were 0.469 and 0.733 µg/g of creatinine in men and women, respectively. A higher Cd excretion benchmark in women was a result of their universally smaller muscle mass than men; consequently, they have lower creatinine excretion rates than men. The Thai BMDL10 values of Cd excretion for β2M endpoint were 36–55% lower, compared to a Chinese study, reporting the BMDL10 values of 1.30 and 1.34 µg/g of cr in men and women, respectively [103]. This may be due to differences in age profiles of the target population and the cut-off value to define an abnormal β2M excretion, in addition to shortcomings of reliance on a single dose–response model in conventional BMD practice [106,107,108].
The advantage of using seven dose–response models to determine BMDL5 and BMDL10 values from dichotomous/disease prevalence data is illustrated in Figure 6.
Satarug et al. used the advanced BMD method to determine Cd excretion benchmarks at 5% prevalence of proteinuria and 5% prevalence of CKD [105]. The protein excretion rate of 100 mg/g cr. was a cut-off figure to define proteinuria, while the eGFR value ≤ 60 mL/min/1.73 m2 was a cut-off value to designate CKD development. The BMDL5 value of Cd excretion at 5% prevalence of proteinuria was 1.86 µg/g of creatinine, while the BMDL5 of Cd excretion at 5% prevalence of CKD was 1.19 µg/g of creatinine.
The BMDL value of Cd excretion at 5% CKD prevalence was 36% lower compared to the figure for 5% proteinuria prevalence. Apparently, a falling eGFR was a more sensitive indicator of Cd effects than proteinuria. Even a slight increase in Cd excretion (a body burden indicator of Cd) can induce a large drop in eGFR because the relationship between eGFR and Cd excretion was exponential (Figure 6D). This finding is consistent with a prospective cohort study from Switzerland that causally linked a fall of eGFR at a high rate (≥3 mL/min/1.73 m2/y) to Cd exposure [13].
Because proteinuria predicts continued eGFR deterioration [109,110,111], its clinical relevance is apparent. A health survey reported the prevalence of severe proteinuria (excretion of protein ≥ 200 mg/g cr) among residents of Mae Sot district to be as high as 24.1%, with 66.7% of them having Cd excretion rates ≥ 2 µg/g of cr [97].
The prevalence of proteinuria rose from 5% to 10% as Cd excretion rates rose from 1.86 to 4.47 µg/g of creatinine. In comparison, the prevalence of low eGFR rose from 5% to 10% as Cd excretion rates increased from 1.19 to 1.35 µg/g of creatinine; a 1.13-fold increase in Cd exposure resulted in 5% more people with CKD. In effect, the prevalence of CKD (low eGFR) was a more sensitive marker for Cd nephrotoxicity than proteinuria.
Collectively, benchmark Cd excretion limits suggested that Cd-induced nephron destruction that causes eGFR to fall has occurred in advance of a rise in protein excretion rates ≥ 100 mg/g of creatinine and a rise in β2M excretion rates above 300 µg/g of creatinine.

3.4. A Summary of Cd Toxicity Thresholds for the Kidney Target

Because the nephrotoxicity of Cd involves the same mechanism, the amount of Cd causing such toxicity can be expected to be similar across human populations. Accordingly, the BMDL (NOAEL equivalent) values of the Cd excretion rate estimated for various populations using the same endpoint, in theory, should be comparable.
For the nephrotoxicity endpoint, the lowest BMDL5 value of Cd excretion rate in a Chinese study using the NAG endpoint was 0.49 µg/g of cr (Table 3). In a Thai study using NAG excretion ≥ 4 U/g cr as a cut-off value, the lowest BMDL10 of Cd excretion was 0.469 µg/g of cr. The lowest Cd excretion benchmark identified in a Japanese study from the β2M endpoint was 0.6 µg/g of cr. These Cd excretion benchmarks are approximately 9–12% of the JECFA’s threshold.
Using a 5% decrease in the eGFR as an endpoint, the benchmark Cd excretion limit was 0.17 µg/g of cr. In comparison, the BMDL value of Cd excretion could not be reliably determined when 5% increase in β2M excretion was used as an endpoint. Intriguingly, the BMDL value of Cd excretion limit of 0.054 µg/g of cr. was derived for a 5% increment in total protein excretion. Similarly, the BMDL value of Cd excretion limit of 0.06 µg/g of cr. was derived for a 5% rise in NAG excretion [104], consistent with numerous studies suggesting NAG excretion to be sensitive to Cd [91]. However, unlike proteinuria, which predicts continued eGFR decline [109,110,111], the clinical utility of NAG has not been demonstrable. In a mediation analysis, NAG was minimally related to Cd-induced destruction of nephrons, which caused eGFR to fall [112]. This could be due to the fact that kidneys have the capacity to regenerate and repair the tubular cells following a mild-to-moderate injury induced by a low-dose Cd [113,114].

3.5. Established Dose–Response Relationships

The risk of CKD (eGFR < 60 mL/min/1.73 m2) has been related to dietary Cd exposure levels in a large Chinese population study (n = 8429) [115]. Compared with the dietary Cd exposure level of 16.7 μg/day, CKD risk rose 1.73-fold, 2.93-fold, and 4.05-fold as Cd intake levels rose to 23.2, 29.6, and 36.9 μg/day, respectively [115].
The risk of CKD (eGFR < 60 mL/min/1.73 m2) has been related to Cd excretion in a Thai population study, including 493 men and 696 women, with a mean age of 43.2 years and a mean Cd excretion rate of 0.64 µg/g of creatinine [101]. CKD risk rose 6.2- and 10.6-fold as urinary Cd excretion rate increased from 0.37 to 0.38–2.49 and ≥2.5 µg/g of creatinine, respectively [101]. These results were obtained after the potential confounders—age, BMI, gender and hypertension—were adjusted [101].
The above dose–response investigations have indicated an increment in CKD risk as a function of dietary Cd intake levels and Cd excretion rates [101,115]. Supporting these observations is the Swiss prospective cohort study, where a rapid fall of eGFR per year has been found to be caused by Cd exposure, adjusting for confounding factors [13]. These data provide a firm basis to derive exposure guidelines based on the eGFR endpoint. The factors influencing internal doses (blood Cd concentrations), and thus the toxic manifestation of Cd [116,117,118], could be integrated as safety margins.

4. Mechanism-Based Strategies to Mitigate Cd Toxicity

In this section, the current view around how Cd from foods reaches the kidney proximal tubular cells and mitochondrial target is highlighted, while accentuating the potential role for albumin in the delivery of Cd to kidney tubules. A summary is presented of the results from recent investigations advancing our knowledge on how Cd induces tubular cell death in chronic low-dose exposure conditions in humans, together with the strategies that can be developed to mitigate its toxic manifestations.

4.1. Why Does Most Acquired Cadmium Accumulate in the Proximal Tubules?

As depicted in Figure 2, Cd is absorbed by enterocytes via several transport proteins for Fe, Zn, Ca, and Cu. Similarly, Cd enters osteoblasts via multiple metal transport proteins for essential metals and voltage-gated Ca2+ channels [119]. In distinction from enterocytes and osteoblasts, the kidney tubular cells have the capacity to reabsorb proteins via receptor-mediated endocytosis (RME) [120,121,122], in addition to those for reuptake of metals, glucose, amino acids and all other nutrients.
Filtered Cd is primarily complexed with glutathione (GSH), inorganic anions, such as sulfate, phosphate and amino acids, particularly cysteine, and cystine. Being the principal segment of the nephron, where transcellular reabsorption of these filtered Cd occurs, the Cd load in the PT is highest [90]. The internalization of proteins other than Cd-MT complexes, notably albumin, can be an additional entry route for Cd [90,123,124].
Using mice exposed to Cd in drinking water for 1, 2, or 4 months, Fujishiro et al. observed a preferential accumulation of Cd in the kidney cortex, while noting MT was more abundant in the proximal tubules than in the distal tubules [125], similar to a study using human kidney sections [126]. Given that MT expression is induced by Cd, the high abundance of MT in proximal tubules compared to the distal tubules can thus be expected if PTCs absorbed most Cd.

4.2. Cd-Induced Albuminuria: Glomerular or Tubular Cause

With a large molecular weight (66 kDa) and negative charges, albumin is not filtered by glomeruli [127,128]. In normal health, 1–10 g of albumin (40–50 g of plasma protein) may reach the tubular lumen each day by means of transcytosis through endothelial cells and podocyte foot processes [129,130]. A majority of albumin is reabsorbed by fluid-phase endocytosis and returned to blood circulation by transcytosis, while a small fraction of albumin is reabsorbed through RME [127,128].
Glomerular Membrane Permeability: A four-fold increase in the glomerular filtration of albumin was noted in female Sprague-Dawley rats, exposed to Cd in drinking water for up to 18 months [131,132]. This glomerular membrane permeability effect of Cd appeared to occur in advance of GFR and tubular effects, evident from the excretion of enzymes, NAG, alanine aminopeptidase and lactate dehydrogenase [131]. Apparently, the glomerular membrane was particularly sensitive to Cd toxicity, resulting in increased membrane permeability to albumin. The permeability of human renal glomerular endothelial cells in monolayers was increased by Cd at 1 µM concentration [133], most likely due to the redistribution of the adherens junction proteins, vascular endothelial-cadherin and β-catenin [134].
Megalin/Cubilin RME: In a study using data from 519 Thai subjects with moderate-to-high Cd exposure, the calculated fractional excretions were 0.18% for albumin and 21% for β2M. These calculations assumed the glomerular sieving coefficients to be 0.01 for albumin and 1 for β2M [135]. Because RME of β2M requires megalin but not cubilin, RME of albumin requires both proteins, it can be inferred that Cd had disrupted megalin-mediated endocytosis of both proteins by a single “shared” mechanism. Cd reduced expression levels of CUBN (cubilin) and LRP2 (megalin) in the kidney tubular cells was observed in a study using Sprague Dawley male rats given Cd in drinking water at 0, 50, or 75 mg/L CdCl2 for 1 and 6 months [136]. Filtered albumin not subjected to transcytosis in the S1 segment of the proximal tubule is processed identically to β2M (Figure 7).
The Cd released from lysosomal degradation of albumin is sequestered in cytosolic MT once it exits endo-/lysosomes via DMT1 [137,138]. The binding of Cd to MT in this manner is viewed as a detoxification mechanism. Notably, however, as the influx of Cd into PTCs continues, the metal binding sites of MT become saturated [17], leaving the metal in free ionic form (Cd2+) that can reach various cell organelles, especially the mitochondrion, which is characteristically abundant in PTCs [17,139]. These findings are consistent with the fact that excreted Cd is primarily in MT-bound form, a detoxified storage form of the metal [140,141], and excreted Cd reflects ongoing nephrotoxicity.
Because of the large number of mitochondria, the homeostasis and survival of PTCs rely heavily on autophagy [142,143,144]. Acute kidney injury in Cd-intoxicated rats was due to the inhibition of autophagy and interference with the function of lysosomes by Cd [145], while kidney fibrosis was due to impaired tubular protein endocytosis [109,110,111].

4.3. Albuminuria/Proteinuria and CKD

Albuminuria, defined as an albumin-to-creatinine ratio (ACR) of 20 mg/g cr in men and 30 mg/g cr in women, like eGFR, is a diagnostic criterion for CKD. However, its utility in CKD diagnosis is based mostly on circumstantial evidence; excretion of albumin at a rate of 7 mg/g of creatinine can predict CKD development within 10 years [146].
The effects of Cd on reabsorption of albumin and β2M were evident from analysis of data from 519 Thai subjects who were exposed to moderate-to-high levels of Cd [135] (Table 4).
Table 4 provides representative rates of filtration, excretion, catabolism and transcytosis in normal and Cd-intoxicated PTCs. Through megalin/cubilin RME, PTCs internalized a higher amount of albumin (3 g) than β2M (0.3 g) per day.
The role of oxidized albumin in causing kidney tubular cell death through ferroptosis has been demonstrated [147]. Prior to this observation, using a cell culture model of PTC, Fels et al. have demonstrated the cytotoxicity of Cd unambiguously complexed with albumin [123]. These findings underscore the significance of megalin/cubilin RME that mediates the internalization of Cd-albumin complexes/oxidized albumin by PTCs (Figure 7) [90,123,147], thereby providing additional evidence that connects impaired tubular protein reabsorption and/or impaired lysosomal protein degradation to albuminuria/proteinuria and kidney fibrosis [148].
The development of kidney fibrosis by a low-dose Cd exposure has been demonstrated in experimental studies [149,150]. Evidence of Cd-induced kidney fibrosis was noted in a synchrotron imaging of metals in human kidney tissue samples [151]. In a histopathological study, using kidney biopsies from kidney transplant donors, a correlation was observed between tubular cell atrophy and Cd accumulation levels [152].
Notably, however, studies deriving BMDL values using disease markers such as albuminuria/proteinuria are limited [107,153,154]. Most reported BMDL figures of Cd excretion were based on nephrotoxicity biomarkers (Section 2), which were not indicative of Cd early effects, nor were they clinically relevant.

4.4. CKD and Its Progression Toward End Stage

CKD is a major public health problem worldwide because it causes high morbidity and mortality, especially from cardiovascular disease [155,156], and kidney failure, signified by a fall of eGFR to 15 mL/min/1.73 m2 or below. Now, this ailment is ranked the seventh leading cause of global death, projected to rise further along with obesity, diabetes, hypertension, and non-alcoholic fatty liver disease. It will rise to the fifth leading cause of death in 2040 [157,158]. The cost associated with treatment involving dialysis and a kidney transplant is escalating.
Indisputably, exposure to Cd pollution has contributed to CKD development in a significant proportion of the adult population worldwide [11,12], while the Bradford–Hill Criteria strengthen a causal relationship between CKD and Cd exposure [3].
Concerningly, Cd-induced loss of eGFR is irreversible, and there is no effective chelation therapy to eliminate the kidney Cd load. Hence, developing strategies to prevent CKD development and to mitigate its nephrotoxicity is of great public health significance.

4.5. Cd and Cellular Stress Responses

Hijacking transport proteins for essential metals, Cd can enter any cell and reach its organelles and subcellular structures [139]. Thus, Cd can impact the function of nearly all cell types in the body [1,2], including erythrocytes [159] and leucocytes [160,161,162]. Through MT and transport proteins for Ca and Fe, i.e., the metal coupling unit (MCU) and DMT1, Cd reaches the inner membrane of mitochondria [163]; it reduces the synthesis of adenosine triphosphate (ATP), suppresses the electron transport chain [164], and promotes the formation of reactive oxygen species (ROS) [139,165,166]. The most frequently identified sign of Cd toxicity is related to oxidative stress damage to lipids and proteins, such as oxidized low-density lipoprotein and oxidized albumin, discussed in Section 4.3.
In addition to mitochondrial source, ROS can be produced, normally in the peroxisomes, and the endoplasmic reticulum [167]. To maintain cellular redox states and cell function, as well as to protect against potential damage from excessive ROS formation, many mechanisms have evolved. Herein, antioxidant defenses involving the upregulation of the MT gene and the heme oxygenase-1 (HO-1) genes by cells in response to Cd are highlighted (Figure 8).

4.5.1. Cd-Induced Upregulation of the MT Gene

Upregulation of the MT gene by PTCs in response to Cd is a detoxification mechanism because sequestering of Cd in MT (Cd-MT complexes) prevents acute toxicity due to “free” Cd2+ ion which is the chemically reactive form of the metal. Each MT molecule can carry up to 7 atoms of Cd2+, 7 atoms of Zn2+ or 12 atoms of Cu2+, and the metal–MT complexes are denoted as Cd7MT, Zn7MT, and Cu12MT [168]. Complexes of mixed metals, such as Cd3Cu3ZnMT, Cd4CuZn2MT, and Cd6CuMT, are formed in vivo [168].
Approximately 16 MT isoforms have been identified in four major families, MT-1–MT-4 [169]. MT-1 and MT-2 are ubiquitously expressed by most cells, including leucocytes and kidney tubular cells [122,170,171,172]. MT-3 has a particularly high binding affinity for Cu, and high levels of MT-3 isoform are found in kidneys and neurons [138,172,173]. Because free Cu ion is redox active, Cu-MT-3 complexes may account for the nephrotoxicity and neurotoxicity of Cd [173].
A study from Taiwan (n = 2447, mean age 55.1 years) [174] noted that subjects with proteinuria had a mean urinary Cd concentration 27.3% higher than those without and that the risk of proteinuria was increased 2.67-fold and 1.94-fold in those with elevated urinary Cd and Cu levels, respectively. Proteinuria was found in Taiwanese subjects with low exposure levels, reflected by a mean urinary Cd in subjects of 1.1 μg/L. This urinary Cd level was in line with the proteinuria-based BMDL value of Cd excretion.
A direct correlation between 24 h proteinuria and urinary copper levels was observed, together with an inverse correlation of eGFR and serum Cu in a study that included 313 kidney disease patients and 19 healthy controls [175]. These data explain a connection between urinary Cu and proteinuria observed in the Taiwanese study [174].
Because absorbed Cd reaches the liver first, Cd-MT complexes formed in the liver presumably contain oral Cd, while those synthesized in the lungs contain inhaled Cd. Liver and lungs serve as endogenous reservoirs from which Cd-MT complexes are released as cells die. Cd–MT complexes are redistributed to the kidneys, which are equipped with protein internalization.
There is little evidence that megalin/cubilin RME in the proximal tubule reabsorbs the complex of Cd-MT at concentrations expected in the glomerular ultrafiltrate [90]. However, it could be retrieved in the distal tubule and collecting duct by SLC22A17/lipocalin-2 REM [122,124]; consequently, filtered Cd-MT complexes are all absorbed and retained within those regions of nephrons.
Sequestering Cd via MT prevents acute cytotoxicity; however, it may increase the risk of long-term toxicity because Cd2+ ions can be released under certain conditions, leading to increased synthesis of nitric oxide (NO) that liberates the Cd and Cu previously bound to MT [176,177,178]. Moreover, upregulation of MT in response to Cd can impact cellular redox state, vital to maintaining normal protein structures, intermediary metabolism, and cell function [179,180,181]. For example, increased sequestration of Zn and Cu in MT could lead to a reduction in the activity of the antioxidant enzyme superoxide dismutase 1 (SOD1) that requires Zn and Cu as cofactors [182].

4.5.2. Cd-Induced Upregulation of the HO-1 Gene

In response to any form of stress, including hyperglycemia, the HO-1 gene is upregulated [183]. Unexpectedly, however, HO-1 gene activation by Cd appeared to be different from physiological HO-1 regulators, i.e., prostaglandin D2 (PGD2) [184]; as such, induction of HO-1 expression by Cd did not result in a concomitant increase in bilirubin synthesis [185]. The reason for this phenomenon remains unclear.
Satarug et al. have shown that PGD2 activated the HO-1 gene in a cell culture model of human retinal pigment epithelial cells through the D-prostanoid2 (DP2) receptor [180]. In contrast, Cd activated the HO-1 gene via two enhancers: the Cd response element (CdRE, TGCTAGATTTT) and Maf recognition antioxidant response element (MARE, GCTGAGTRTGACNNNGC), also known as ARE or the stress response element (StRE) [186]. Moreover, Cd induced nuclear export of the repressor Bach1 and suppressed the lysosomal degradation of Nrf2 [187], resulting in the transactivation of the HO-1 gene by the Nrf2/small Maf complex [188].
The potency of Cd to activate the HO-1 gene in various human cell lines has been determined using the ARE reporter gene assay [189] (Table 5).
As shown in Table 5, through a single enhancer ARE, the expression of HO-1 in human kidney and liver cell lines is increased by Cd as little as 1 µM. Cd and arsenic (As) both activate HO-1 expression in all five human cell lines tested. In the human breast cancer cell line, MCF7, the HO-1 induction potency of Cd was comparable to that of As. In all other cell lines, the HO-1 induction potency of Cd was higher than that of As. Notably, the induction of HO-1 by As, like Cd, did not lead to an increase in bilirubin concentrations in Cd- and As-exposed cells [185]. The signaling pathways involved in cellular responses to various forms of stress warrant further investigation.
Through CdRE and ARE, HO-1 expression and catalytic activity are increased immensely, leading to a degradation of heme from which Fe is released, while carbon monoxide (CO) is generated. Nonetheless, there is a little change in bilirubin concentrations in cells treated with Cd [185]. Bilirubin, by virtue of its lipophilic properties, protects lipids from oxidation more effectively than the water-soluble antioxidants, such as GSH and vitamin C [190]. A massive induction of HO-1 gene expression by Cd can lead to loss of PTCs through ferroptosis [191,192,193,194].
Ferroptosis is an iron-dependent regulated cell death, a consequence of overt lipid peroxidation [195]. Like tubular cells of the kidneys, Cd-induced cell death via ferroptosis occurred in cells of various tissues and organs [196] such as bones [197], ovaries [198] and testes [199,200]. These observations are consistent with the fact that an elevation in HO-1 expression is a universal cellular response to a broad range of stressors, including physical (shear stress), metabolic, xenobiotic, and biological stressors [183]. In the absence of a concomitant increase in bilirubin formation, Cd-induced HO-1 expression can result in lipid peroxidation and ferroptosis, given that HO-1 is localized in the endoplasmic reticulum.

4.6. Can Exogenous HO-1 Inducers Mitigate Cd-Induced Oxidative Stress?

As discussed above, Cd appears to cause oxidative stress through lowering levels of endogenous antioxidants, especially bilirubin. This raises the possibility of replenishing such bilirubin insufficiency by exogenous HO-1 inducers. A wide range of antioxidants from plant foods, such as curcumin, quercetin, tert-butylhydroquinone, and caffeic acid phenethyl ester, are known to be HO-1 inducers, as are catechin (in green tea), α-lipoic acid (in broccoli, spinach), resveratrol (in red wine, grapes), carnosol, sulforaphane (cruciferous vegetable), coffee diterpenes cafestol, and kahweol [201]. The beneficial effects of the consumption of these plant antioxidants could thus be mediated in part through the induction of HO-1 expression.
A diet high in anti-oxidative and anti-inflammatory nutrients was associated with increased serum bilirubin levels and reduced oxidative stress and systemic inflammation associated with Cd exposure [202]. Furthermore, the consumption of plant-based diets may provide a viable option to prevent and manage CKD, which continues to rise worldwide [203,204,205]. The investigation into the potency of plant-derived compounds to activate the HO-1 gene using the ARE reporter gene assay or similar constructs should be encouraged [206]. Interestingly, hypobilirubinemia (<10 μM) is an independent risk factor for cardiovascular-kidney-metabolic (CKM) syndrome [207,208]. In a recent preclinical study, suppression of gut bacterial conversion of bilirubin to urobilin could be another strategy to raise plasma bilirubin concentrations [209].

5. Conclusions

Current dietary Cd exposure guidelines vary fourfold, ranging from 0.21 to 0.83 μg/kg b.w./d with a tenfold difference in threshold levels of Cd excretion, varying between 0.5 and 5.24 µg/g of creatinine. These exposure guidelines derived by JECFA, EFSA, US FDA and ATSDR, respectively, described as TDI, RfD, TRV and MRL, were all based on the premise that there is a critical exposure level below which adverse effects of Cd on bone/and or kidney target are discernible. Notably, however, the existing NOAEL/BMDL values of Cd excretion derived for the kidney target were based on nephrotoxicity indicators, not kidney disease, which is diagnosed when eGFR falls to a third of normal value, or ACR rises to 20 mg/g cr in men and 30 mg/g cr in women for at least 3 months.
The benchmark Cd excretion limit could not be reliably determined when a 5% increment in β2M excretion was used as an endpoint. The benchmark Cd excretion limit at 5% increases in protein excretion is as little as 0.054 µg/g of creatinine [105]. Thus, there is no basis for using β2M excretion in computing the health risk due to dietary Cd exposure.
The benchmark Cd excretion limit derived at 5% drop in the eGFR is 0.17 µg/g of creatinine [42]. The certainty of this BMDL estimate is high, indicated by a BMDU/BMDL ratio of 16.9. A rapid fall of eGFR as a consequence of Cd exposure noted in the Swiss prospective study [13] supports the use of an eGFR-based threshold. Also, the BMDL5 (BMDL10) values of 0.198 (0.365) μg/g creatinine, derived from the prevalence of diabetes in 4530 US adults [210], align with the eGFR-based threshold. Using Chinese population data, the eGFR-based reference value of dietary Cd exposure is 0.149 µg/kg b.w./d for adults and 0.018 µg/kg b.w./d for children [211].

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Acknowledgments

This review is dedicated to the late Michael R. Moore, who was Director of the National Research Centre for Environmental Toxicology (EnTox), the University of Queensland, between 1994 and 2009. He was instrumental in establishing toxicology research on heavy metals in Australia, and he was an inspiration to all who worked in this field. The author thanks Shigeki Shibahara for his guidance on HO-1 and HO-2 research undertaken by the author at Tohoku University, Sendai, Japan, with support from the Japan Society for Promotion of Science (JSPS). This work was supported with resources from the Centre for Kidney Disease Research, Translational Research Institute, and the Department of Kidney and Transplant Services, Princess Alexandra Hospital, QLD, Australia.

Conflicts of Interest

The author declares no conflicts of interest.

References

  1. Satarug, S.; Phelps, K.R. Cadmium Exposure and Toxicity. In Metal Toxicology Handbook; Bagchi, D., Bagchi, M., Eds.; CRC Press: New York, NY, USA, 2020; Chapter 14; pp. 219–272. [Google Scholar]
  2. Satarug, S.; Vesey, D.A.; Gobe, G.C.; Phelps, K.R. Estimation of health risks associated with dietary cadmium exposure. Arch. Toxicol. 2023, 97, 329–358. [Google Scholar] [CrossRef]
  3. Hsu, P.; Gamlat, C.J.; Wu, F. Assessing Causal Evidence Beyond Correlation: Linking Cadmium Exposure to Disease, Using Bradford Hill Framework. Expo. Health 2026, 18, 19. [Google Scholar] [CrossRef]
  4. Satarug, S. Hypertension in People Exposed to Environmental Cadmium: Roles for 20-Hydroxyeicosatetraenoic Acid in the Kidney. J. Xenobiot. 2025, 15, 122. [Google Scholar] [CrossRef]
  5. Lichtler, R.; Cowley, M. Environmental Contaminants, Iron Deficiency, and Iron-Deficiency Anemia: A Review of the Literature. Scientifica 2025, 2025, 5007983. [Google Scholar] [CrossRef]
  6. Li, D.; Lin, H.; Zhang, M.; Meng, J.; Hu, L.; Yu, B. Urine Cadmium as a Risk Factor for Osteoporosis and Osteopenia: A Meta-Analysis. Front. Med. 2021, 8, 648902. [Google Scholar] [CrossRef]
  7. Ougier, E.; Fiore, K.; Rousselle, C.; Assunção, R.; Martins, C.; Buekers, J. Burden of osteoporosis and costs associated with human biomonitored cadmium exposure in three European countries: France, Spain and Belgium. Int. J. Hyg. Environ. Health 2021, 234, 113747. [Google Scholar] [CrossRef]
  8. Pouillot, R.; Santillana Farakos, S.; Van Doren, J.M. Modeling the risk of low bone mass and osteoporosis as a function of urinary cadmium in U.S adults aged 50–79 years. Environ. Res. 2022, 212, 113315. [Google Scholar] [CrossRef]
  9. Filippini, T.; Wise, L.A.; Vinceti, M. Cadmium exposure and risk of diabetes and prediabetes: A systematic review and dose-response meta-analysis. Environ. Int. 2022, 158, 106920. [Google Scholar] [CrossRef]
  10. Satarug, S. Is Environmental Cadmium Exposure Causally Related to Diabetes and Obesity? Cells 2024, 13, 83. [Google Scholar] [CrossRef]
  11. Doccioli, C.; Sera, F.; Francavilla, A.; Cupisti, A.; Biggeri, A. Association of cadmium environmental exposure with chronic kidney disease: A systematic review and meta-analysis. Sci. Total Environ. 2024, 906, 167165. [Google Scholar] [CrossRef]
  12. Satarug, S. Is Chronic Kidney Disease Due to Cadmium Exposure Inevitable and Can It Be Reversed? Biomedicines 2024, 12, 718. [Google Scholar] [CrossRef]
  13. Xie, S.; Perrais, M.; Golshayan, D.; Wuerzner, G.; Vaucher, J.; Thomas, A.; Marques-Vidal, P. Association between urinary heavy metal/trace element concentrations and kidney function: A prospective study. Clin. Kidney J. 2024, 18, sfae378. [Google Scholar] [CrossRef]
  14. Elinder, C.G.; Lind, B.; Kjellström, T.; Linnman, L.; Friberg, L. Cadmium in kidney cortex, liver, and pancreas from Swedish autopsies. Estimation of biological half time in kidney cortex, considering calorie intake and smoking habits. Arch. Environ. Health 1976, 31, 292–302. [Google Scholar] [CrossRef]
  15. Suwazono, Y.; Kido, T.; Nakagawa, H.; Nishijo, M.; Honda, R.; Kobayashi, E.; Dochi, M.; Nogawa, K. Biological half-life of cadmium in the urine of inhabitants after cessation of cadmium exposure. Biomarkers 2009, 14, 77–81. [Google Scholar] [CrossRef]
  16. Ishizaki, M.; Suwazono, Y.; Kido, T.; Nishijo, M.; Honda, R.; Kobayashi, E.; Nogawa, K.; Nakagawa, H. Estimation of biological half-life of urinary cadmium in inhabitants after cessation of environmental cadmium pollution using a mixed linear model. Food Addit. Contam. Part A 2015, 32, 1273–1276. [Google Scholar] [CrossRef]
  17. Satarug, S.; Vesey, D.A.; Ruangyuttikarn, W.; Nishijo, M.; Gobe, G.C.; Phelps, K.R. The Source and Pathophysiologic Significance of Excreted Cadmium. Toxics 2019, 7, 55. [Google Scholar] [CrossRef]
  18. Akerstrom, M.; Barregard, L.; Lundh, T.; Sallsten, G. The relationship between cadmium in kidney and cadmium in urine and blood in an environmentally exposed population. Toxicol. Appl. Pharmacol. 2013, 268, 286–293. [Google Scholar] [CrossRef]
  19. Satarug, S. Antioxidative Function of Zinc and Its Protection Against the Onset and Progression of Kidney Disease Due to Cadmium. Biomolecules 2025, 15, 183. [Google Scholar] [CrossRef]
  20. Cirovic, A.; Milovanovic, P.; Satarug, S. Cadmium, Iron Deficiency Anemia and Hypophosphatemic Osteomalacia Due to Intravenous Iron Supplementation. Biomedicines 2026, 14, 292. [Google Scholar] [CrossRef]
  21. Wong, C.; Roberts, S.M.; Saab, I.N. Review of regulatory reference values and background levels for heavy metals in the human diet. Regul. Toxicol. Pharmacol. 2022, 130, 105122. [Google Scholar] [CrossRef]
  22. Satarug, S. Challenges in Toxicological Risk Assessment of Environmental Cadmium Exposure. Toxics 2025, 13, 404. [Google Scholar] [CrossRef]
  23. Costa, L.G.; Aschner, M.; Vitalone, A.; Syversen, T.; Soldin, O.P. Developmental neuropathology of environmental agents. Annu. Rev. Pharmacol. Toxicol. 2004, 44, 87–110. [Google Scholar] [CrossRef]
  24. Hauptman, M.; Woolf, A.D. Childhood Ingestions of Environmental Toxins: What Are the Risks? Pediatr. Ann. 2017, 46, e466–e471. [Google Scholar] [CrossRef]
  25. Vogt, R.; Bennett, D.; Cassady, D.; Frost, J.; Ritz, B.; Hertz-Picciotto, I. Cancer and non-cancer health effects from food con-taminant exposures for children and adults in California: A risk assessment. Environ. Health 2012, 11, 83. [Google Scholar] [CrossRef]
  26. Flannery, B.M.; Schaefer, H.R.; Middleton, K.B. A scoping review of infant and children health effects associated with cadmium exposure. Regul. Toxicol. Pharmacol. 2022, 131, 105155. [Google Scholar] [CrossRef]
  27. Chen, Z.; Myers, R.; Wei, T.; Bind, E.; Kassim, P.; Wang, G.; Ji, Y.; Hong, X.; Caruso, D.; Bartell, T.; et al. Placental transfer and concentrations of cadmium, mercury, lead, and selenium in mothers, newborns, and young children. J. Expo. Sci. Environ. Epidemiol. 2014, 24, 537–544. [Google Scholar] [CrossRef]
  28. Kippler, M.; Hoque, A.M.; Raqib, R.; Ohrvik, H.; Ekström, E.C.; Vahter, M. Accumulation of cadmium in human placenta interacts with the transport of micronutrients to the fetus. Toxicol. Lett. 2010, 192, 162–168. [Google Scholar] [CrossRef]
  29. Huang, S.; Kuang, J.; Zhou, F.; Jia, Q.; Lu, Q.; Feng, C.; Yang, W.; Fan, G. The association between prenatal cadmium exposure and birth weight: A systematic review and meta-analysis of available evidence. Environ. Pollut. 2019, 251, 699–707. [Google Scholar] [CrossRef]
  30. Amegah, A.K.; Sewor, C.; Jaakkola, J.J.K. Cadmium exposure and risk of adverse pregnancy and birth outcomes: A systematic review and dose-response meta-analysis of cohort and cohort-based case-control studies. J. Expo. Sci. Environ. Epidemiol. 2021, 31, 299–317. [Google Scholar] [CrossRef]
  31. Kippler, M.; Lönnerdal, B.; Goessler, W.; Ekström, E.C.; Arifeen, S.E.; Vahter, M. Cadmium interacts with the transport of essential micronutrients in the mammary gland—A study in rural Bangladeshi women. Toxicology 2009, 257, 64–69. [Google Scholar] [CrossRef]
  32. Olszowski, T.; Baranowska-Bosiacka, I.; Rębacz-Maron, E.; Gutowska, I.; Jamioł, D.; Prokopowicz, A.; Goschorska, M.; Chlubek, D. Cadmium Concentration in Mother’s Blood, Milk, and Newborn’s Blood and Its Correlation with Fatty Acids, Anthropometric Characteristics, and Mother’s Smoking Status. Biol. Trace. Elem. Res. 2016, 174, 8–20. [Google Scholar] [CrossRef]
  33. Rebelo, F.M.; Caldas, E.D. Arsenic, lead, mercury and cadmium: Toxicity, levels in breast milk and the risks for breastfed infants. Environ. Res. 2016, 151, 671–688. [Google Scholar] [CrossRef]
  34. Kippler, M.; Hossain, M.B.; Lindh, C.; Moore, S.E.; Kabir, I.; Vahter, M.; Broberg, K. Early life low-level cadmium exposure is positively associated with increased oxidative stress. Environ. Res. 2012, 112, 164–170. [Google Scholar] [CrossRef]
  35. Gustin, K.; Tofail, F.; Vahter, M.; Kippler, M. Cadmium exposure and cognitive abilities and behavior at 10 years of age: A prospective cohort study. Environ. Int. 2018, 113, 259–268. [Google Scholar] [CrossRef]
  36. Ma, C.; Iwai-Shimada, M.; Nakayama, S.F.; Isobe, T.; Kobayashi, Y.; Tatsuta, N.; Taniguchi, Y.; Sekiyama, M.; Michikawa, T.; Yamazaki, S.; et al. Association of prenatal exposure to cadmium with neurodevelopment in children at 2 years of age: The Japan Environment and Children’s Study. Environ. Int. 2021, 156, 106762. [Google Scholar] [CrossRef]
  37. Hou, D.; Jia, X.; Wang, L.; McGrath, S.P.; Zhu, Y.G.; Hu, Q.; Zhao, F.J.; Bank, M.S.; O’Connor, D.; Nriagu, J. Global soil pollution by toxic metals threatens agriculture and human health. Science 2025, 388, 316–321. [Google Scholar] [CrossRef]
  38. Slob, W.; Moerbeek, M.; Rauniomaa, E.; Piersma, A.H. A statistical evaluation of toxicity study designs for the estimation of the benchmark dose in continuous endpoints. Toxicol. Sci. 2005, 84, 167–185. [Google Scholar] [CrossRef]
  39. Slob, W.; Setzer, R.W. Shape and steepness of toxicological dose-response relationships of continuous endpoints. Crit. Rev. Toxicol. 2014, 44, 270–297. [Google Scholar] [CrossRef]
  40. Slob, W. A general theory of effect size, and its consequences for defining the benchmark response (BMR) for continuous endpoints. Crit. Rev. Toxicol. 2017, 47, 342–351. [Google Scholar] [CrossRef]
  41. Satarug, S. Benchmark dose modeling to define permissible exposure levels for environmental cadmium. J. Environ. Expo. Assess. 2025, 4, 28. [Google Scholar] [CrossRef]
  42. Satarug, S.; Vesey, D.A.; Buha Đorđević, A. Use of Urinary β2-Microglobulin in the Assessment of the Health Risk from Environmental Cadmium Exposure. Appl. Sci. 2025, 15, 11757. [Google Scholar] [CrossRef]
  43. Faroon, O.; Keith, S.; Mumtaz, M.; Ruiz, P. Minimal Risk Level Derivation for Cadmium: Acute and Intermediate Duration Exposures. J. Exp. Clin. Toxicol. 2017, 1, 1–12. [Google Scholar] [CrossRef] [PubMed]
  44. Moffett, D.B.; Mumtaz, M.M.; Sullivan, D.W., Jr.; Whittaker, M.H. Chapter 13, General Considerations of Dose-Effect and Dose-Response Relationships. In Handbook on the Toxicology of Metals, 5th ed.; Volume I: General Considerations; Nordberg, G., Costa, M., Eds.; Academic Press: Cambridge, MA, USA, 2022; pp. 299–317. [Google Scholar]
  45. Park, J.D.; Cherrington, N.J.; Klaassen, C.D. Intestinal absorption of cadmium is associated with divalent metal transporter 1 in rats. Toxicol. Sci. 2002, 68, 288–294. [Google Scholar] [CrossRef] [PubMed]
  46. Aydemir, T.B.; Cousins, R.J. The multiple faces of the metal transporter ZIP14 (SLC39A14). J. Nutr. 2018, 148, 174–184. [Google Scholar] [CrossRef]
  47. Nebert, D.W. Comparing gene expression during cadmium uptake and distribution: Untreated versus oral Cd-treated wild-type and ZIP14 knockout mice. Toxicol. Sci. 2015, 143, 26–35. [Google Scholar] [CrossRef]
  48. Ohta, H.; Ohba, K. Involvement of metal transporters in the intestinal uptake of cadmium. J. Toxicol. Sci. 2020, 45, 539–548. [Google Scholar] [CrossRef] [PubMed]
  49. Kovacs, G.; Danko, T.; Bergeron, M.J.; Balazs, B.; Suzuki, Y.; Zsembery, A.; Hediger, M.A. Heavy metal cations permeate the TRPV6 epithelial cation channel. Cell Calcium 2011, 49, 43–55. [Google Scholar] [CrossRef]
  50. Kovacs, G.; Montalbetti, N.; Franz, M.C.; Graeter, S.; Simonin, A.; Hediger, M.A. Human TRPV5 and TRPV6: Key players in cadmium and zinc toxicity. Cell Calcium 2013, 54, 276–286. [Google Scholar] [CrossRef]
  51. Fujita, Y.; el Belbasi, H.I.; Min, K.S.; Onosaka, S.; Okada, Y.; Matsumoto, Y.; Mutoh, N.; Tanaka, K. Fate of cadmium bound to phytochelatin in rats. Res. Commun. Chem. Pathol. Pharmacol. 1993, 82, 357–365. [Google Scholar]
  52. Langelueddecke, C.; Lee, W.K.; Thévenod, F. Differential transcytosis and toxicity of the hNGAL receptor ligands cadmium-metallothionein and cadmium-phytochelatin in colon-like Caco-2 cells: Implications for in vivo cadmium toxicity. Toxicol. Lett. 2014, 226, 228–235. [Google Scholar] [CrossRef]
  53. Codex Alimentarius, CODEX STAN 193–1995, General Standard for Contaminants and Toxins in Food and Feed. Available online: http://www.fao.org/fileadmin/user_upload/livestockgov/documents/1_CXS_193e.pdf (accessed on 17 March 2026).
  54. European Food Safety Authority (EFSA). Scientific Opinion: Cadmium in Food. 2009. Available online: https://efsa.onlinelibrary.wiley.com/doi/pdf/10.2903/j.efsa.2009.980 (accessed on 17 March 2026).
  55. Minh, N.G.; Hough, R.L.; Thuy, L.T.; Nyberg, Y.; Mai, L.B.; Vinh, N.C.; Khai, N.M.; Oborn, I. Assessing dietary exposure to cadmium in a metal recycling community in Vietnam: Age and gender aspects. Sci. Total Environ. 2012, 416, 164–171. [Google Scholar] [CrossRef]
  56. Horiguchi, H.; Oguma, E.; Sasaki, S.; Miyamoto, K.; Hosoi, Y.; Ono, A.; Kayama, F. Exposure Assessment of Cadmium in Female Farmers in Cadmium-Polluted Areas in Northern Japan. Toxics 2020, 8, 44. [Google Scholar] [CrossRef] [PubMed]
  57. Vasco, E.; Dias, M.G.; Oliveira, L. The first harmonised total diet study in Portugal: Arsenic, cadmium and lead exposure assessment. Chemosphere 2025, 372, 144003. [Google Scholar] [CrossRef] [PubMed]
  58. Boon, P.E.; Pustjens, A.M.; Te Biesebeek, J.D.; Brust, G.M.H.; Castenmiller, J.J.M. Dietary intake and risk assessment of elements for 1- and 2-year-old children in the Netherlands. Food Chem. Toxicol. 2022, 161, 112810. [Google Scholar] [CrossRef]
  59. Liu, P.; Zhang, Y.; Su, J.; Bai, Z.; Li, T.; Wu, Y. Maximum cadmium limits establishment strategy based on the dietary exposure estimation: An example from Chinese populations and subgroups. Environ. Sci. Pollut. Res. Int. 2018, 25, 18762–18771. [Google Scholar] [CrossRef]
  60. Nogawa, K.; Sakurai, M.; Ishizaki, M.; Kido, T.; Nakagawa, H.; Suwazono, Y. Threshold limit values of the cadmium concentration in rice in the development of itai-itai disease using benchmark dose analysis. J. Appl. Toxicol. 2017, 37, 962–966. [Google Scholar] [CrossRef] [PubMed]
  61. Joint FAO/WHO Expert Committee on Food Additives. Evaluation of Certain Food Additives and Contaminants (Forty-First Report of the Joint FAO/WHO Expert Committee on Food Additives); WHO Technical Report Series No. 837; World Health Organization: Geneva, Switzerland, 1993; Available online: https://www.who.int/publications/i/item/9241208376 (accessed on 17 March 2026).
  62. Joint FAO/WHO Expert Committee on Food Additives. Meeting. 73th & World Health Organization. Safety Evaluation of Certain Food Additives and Contaminants: Prepared by the Seventy-Third Meeting of the Joint FAO/WHO Expert Committee on Food Additives (JECFA). World Health Organization. 2011. Available online: https://iris.who.int/handle/10665/44521 (accessed on 17 March 2026).
  63. European Food Safety Authority (EFSA). Scientific Opinion: Statement on Tolerable Weekly Intake for Cadmium. 2011. Available online: https://efsa.onlinelibrary.wiley.com/doi/pdf/10.2903/j.efsa.2011.1975 (accessed on 17 March 2026).
  64. Schaefer, H.R.; Flannery, B.M.; Crosby, L.M.; Pouillot, R.; Farakos, S.M.S.; Van Doren, J.M.; Dennis, S.; Fitzpatrick, S.; Mid-dleton, K. Reassessment of the cadmium toxicological reference value for use in human health assessments of foods. Regul. Toxicol. Pharmacol. 2023, 144, 105487. [Google Scholar] [CrossRef]
  65. Nishijo, M.; Nogawa, K.; Suwazono, Y.; Kido, T.; Sakurai, M.; Nakagawa, H. Lifetime Cadmium Exposure and Mortality for Renal Diseases in Residents of the Cadmium-Polluted Kakehashi River Basin in Japan. Toxics 2020, 8, 81. [Google Scholar] [CrossRef]
  66. Qing, Y.; Li, Y.; Cai, X.; He, W.; Liu, S.; Ji, Y.; Jiang, M.; Yang, L.; Wang, J.; Ping, S.; et al. Assessment of cadmium concentrations in foodstuffs and dietary exposure risk across China: A metadata analysis. Expo. Health 2023, 15, 951–961. [Google Scholar] [CrossRef]
  67. Hoffman-Pennesi, D.; Winfield, S.; Gavelek, A.; Santillana Farakos, S.M.; Spungen, J. Infants’ and young children’s dietary exposures to lead and cadmium: FDA total diet study 2018–2020. Food Addit. Contam. Part A 2024, 41, 1454–1479. [Google Scholar] [CrossRef]
  68. Flannery, B.M.; Dolan, L.C.; Hoffman-Pennesi, D.; Gavelek, A.; Jones, O.E.; Kanwal, R.; Wolpert, B.; Gensheimer, K.; Dennis, S.; Fitzpatrick, S. U.S. Food and Drug Administration’s interim reference levels for dietary lead exposure in children and women of childbearing age. Regul. Toxicol. Pharmacol. 2020, 110, 104516. [Google Scholar] [CrossRef]
  69. Dolan, L.C.; Flannery, B.M.; Hoffman-Pennesi, D.; Gavelek, A.; Jones, O.E.; Kanwal, R.; Wolpert, B.; Gensheimer, K.; Dennis, S.; Fitzpatrick, S. A review of the evidence to support interim reference level for dietary lead exposure in adults. Regul. Toxicol. Pharmacol. 2020, 111, 104579. [Google Scholar] [CrossRef]
  70. Brzóska, M.M.; Moniuszko-Jakoniuk, J. Disorders in bone metabolism of female rats chronically exposed to cadmium. Toxicol. Appl. Pharmacol. 2005, 202, 68–83. [Google Scholar] [CrossRef] [PubMed]
  71. Brzóska, M.M.; Moniuszko-Jakoniuk, J. Bone metabolism of male rats chronically exposed to cadmium. Toxicol. Appl. Pharmacol. 2005, 207, 195–211. [Google Scholar] [CrossRef] [PubMed]
  72. Brzóska, M.M.; Moniuszko-Jakoniuk, J. Effect of low-level lifetime exposure to cadmium on calciotropic hormones in aged female rats. Arch. Toxicol. 2005, 79, 636–646. [Google Scholar] [CrossRef]
  73. U.S. Department of Health and Human Services; National Institutes of Health. NTP, NIH Publication 95–3388: NTP Technical Report on Toxicity Studies of Cadmium Oxide (CAS No. 1306–19-0) Administered by Inhalation to F344/N Rats and B6C3F1 Mice; National Toxicology Program: Research Triangle Park, NC, USA, 1995.
  74. Suwazono, Y.; Sand, S.; Vahter, M.; Skerfving, S.; Lidfeldt, J.; Akesson, A. Benchmark dose for cadmium-induced osteoporosis in women. Toxicol. Lett. 2010, 197, 123–127. [Google Scholar] [CrossRef]
  75. Leconte, S.; Rousselle, C.; Bodin, L.; Clinard, F.; Carne, G. Refinement of health-based guidance values for cadmium in the French population based on modelling. Toxicol. Lett. 2021, 340, 43–51. [Google Scholar] [CrossRef]
  76. Qing, Y.; Yang, J.; Chen, Y.; Shi, C.; Zhang, Q.; Ning, Z.; Yu, Y.; Li, Y. Urinary cadmium in relation to bone damage: Cadmium exposure threshold dose and health-based guidance value estimation. Ecotoxicol. Environ. Saf. 2021, 226, 112824. [Google Scholar] [CrossRef] [PubMed]
  77. Qing, Y.; Yang, J.; Zhu, Y.; Li, Y.; Zheng, W.; Wu, M.; He, G. Dose-response evaluation of urinary cadmium and kidney injury biomarkers in Chinese residents and dietary limit standards. Environ. Health 2021, 20, 75. [Google Scholar] [CrossRef]
  78. Wu, X.; Wei, S.; Wei, Y.; Guo, B.; Yang, M.; Zhao, D.; Liu, X.; Cai, X. The reference dose for subchronic exposure of pigs to cadmium leading to early renal damage by benchmark dose method. Toxicol. Sci. 2012, 128, 524–531. [Google Scholar] [CrossRef]
  79. Committee for Recommendation of Occupational Exposure Limits; Japan Society for Occupational Health. Occupational exposure limits for acetaldehyde, 2-bromopropane, glyphosate, manganese and inorganic manganese compounds, and zinc oxide nanoparticle, and the biological exposure indices for cadmium and cadmium compounds and ethylbenzene, and carcinogenicity, occupational sensitizer, and reproductive toxicant classifications. J. Occup. Health 2021, 63, e12294. [Google Scholar]
  80. Nogawa, K.; Suwazono, Y.; Watanabe, Y.; Elinder, C.G. Estimation of benchmark dose of cumulative cadmium exposure for renal tubular effect. Int. J. Environ. Res. Public Health 2021, 18, 5177. [Google Scholar] [CrossRef]
  81. Hoshino, K.; Iwasawa, S.; Yoshioka, N.; Suzuki, S.; Hashimoto, I.; Ukita, S.; Toshima, G.; Nagashima, K.; Takebayashi, T.; Tsunoda, M. Increased risk of proximal tubular dysfunction due to occupational cadmium exposure: A survival analysis study. J. Occup. Health 2025, 67, uiaf016. [Google Scholar] [CrossRef] [PubMed]
  82. Choi, W.J.; Kang, S.K.; Ham, S.; Chung, W.; Kim, A.J.; Kang, M. Chronic cadmium intoxication and renal injury among workers of a small-scale silver soldering company. Saf. Health. Work. 2020, 11, 235–240. [Google Scholar] [CrossRef] [PubMed]
  83. Roy, A.; Saha, T.; Sahoo, J.; Das, A. Hypophosphatemic osteomalacia due to cadmium toxicity in silverware industry: A curious case of aches and pains. J. Fam. Med. Prim. Care 2024, 13, 2516–2519. [Google Scholar] [CrossRef]
  84. Giri, S.; Roy, A.; Kumar, A.; Ghosh, S.; Bhunia, A.; Patra, S. Cadmium toxicity-related metabolic bone disease: A clinical conundrum of five cases. Osteoporos. Int. 2026, 37, 525–531. [Google Scholar] [CrossRef]
  85. Akin, I.; Yazihan, N. Can cadmium toxicity be a driving force for iron deficiency anemia—A systematic review and meta-analysis. Rev. Environ. Health 2026. [Google Scholar] [CrossRef]
  86. Kido, S.; Fujihara, M.; Nomura, K.; Sasaki, S.; Mukai, R.; Ohnishi, R.; Kaneko, I.; Segawa, H.; Tatsumi, S.; Izumi, H.; et al. Molecular mechanisms of cadmium-induced fibroblast growth factor 23 upregulation in osteoblast-like cells. Toxicol. Sci. 2014, 139, 301–316. [Google Scholar] [CrossRef]
  87. Aranami, F.; Segawa, H.; Furutani, J.; Kuwahara, S.; Tominaga, R.; Hanabusa, E.; Tatsumi, S.; Kido, S.; Ito, M.; Miyamoto, K. Fibroblast growth factor 23 mediates the phosphaturic actions of cadmium. J. Med. Investig. 2010, 57, 95–108. [Google Scholar] [CrossRef]
  88. Callan, A.; Hinwood, A.; Devine, A. Metals in commonly eaten groceries in Western Australia: A market basket survey and dietary assessment. Food Addit. Contam. Part A 2014, 31, 1968–1981. [Google Scholar] [CrossRef]
  89. Kunioka, C.T.; Manso, M.C.; Carvalho, M. Association between Environmental Cadmium Exposure and Osteoporosis Risk in Postmenopausal Women: A Systematic Review and Meta-Analysis. Int. J. Environ. Res. Public Health 2022, 20, 485. [Google Scholar] [CrossRef]
  90. Woo, H.D.; Chiu, W.A.; Jo, S.; Kim, J. Benchmark dose for urinary cadmium based on a marker of renal dysfunction: A meta-analysis. PLoS ONE 2015, 10, e0126680. [Google Scholar] [CrossRef]
  91. Thévenod, F.; Lee, W.K. Challenging the current dogma of chronic Cd nephrotoxicity: Myths and facts. Arch. Toxicol. 2026, 100, 1629–1634. [Google Scholar] [CrossRef] [PubMed]
  92. Argyropoulos, C.P.; Chen, S.S.; Ng, Y.-H.; Roumelioti, M.-E.; Shaffi, K.; Singh, P.P.; Tzamaloukas, A.H. Rediscovering Beta-2 Microglobulin As a Biomarker across the Spectrum of Kidney Diseases. Front. Med. 2017, 4, 73. [Google Scholar] [CrossRef]
  93. Phelps, K.R.; Yimthiang, S.; Pouyfung, P.; Khamphaya, T.; Vesey, D.A.; Satarug, S. Homeostasis of β2-microglobulin in diabetics and non-diabetics with modest cadmium intoxication. J. Environ. Expo. Assess. 2025, 4, 23. [Google Scholar] [CrossRef]
  94. Crump, K.S. A new method for determining allowable daily intakes. Fundam. Appl. Toxicol. 1984, 4, 854–871. [Google Scholar] [CrossRef]
  95. Gaylor, D.; Ryan, L.; Krewski, D.; Zhu, Y. Procedures for calculating benchmark doses for health risk assessment. Regul. Toxicol. Pharmacol. 1998, 28, 150–164. [Google Scholar] [CrossRef]
  96. Zhu, Y.; Wang, T.; Jelsovsky, J.Z. Bootstrap estimation of benchmark doses and confidence limits with clustered quantal data. Risk. Anal. 2007, 27, 447–465. [Google Scholar] [CrossRef] [PubMed]
  97. Swaddiwudhipong, W.; Nguntra, P.; Kaewnate, Y.; Mahasakpan, P.; Limpatanachote, P.; Aunjai, T.; Jeekeeree, W.; Punta, B.; Funkhiew, T.; Phopueng, I. Human health effects from cadmium exposure: Comparison between persons living in cadmium-contaminated and non-contaminated areas in northwestern Thailand. Southeast Asian J. Trop. Med. Public Health 2015, 46, 133–142. [Google Scholar]
  98. Suwatvitayakorn, P.; Ko, M.S.; Kim, K.W.; Chanpiwat, P. Human health risk assessment of cadmium exposure through rice consumption in cadmium-contaminated areas of the Mae Tao sub-district, Tak, Thailand. Environ. Geochem. Health 2020, 42, 2331–2344. [Google Scholar] [CrossRef]
  99. Satarug, S.; Vesey, D.A.; Nishijo, M.; Ruangyuttikarn, W.; Gobe, G.C. The inverse association of glomerular function and urinary β2-MG excretion and its implications for cadmium health risk assessment. Environ. Res. 2019, 173, 40–47. [Google Scholar] [CrossRef]
  100. Satarug, S.; Ruangyuttikarn, W.; Nishijo, M.; Ruiz, P. Urinary Cadmium Threshold to Prevent Kidney Disease Development. Toxics 2018, 6, 26. [Google Scholar] [CrossRef]
  101. Satarug, S.; Đorđević, A.B.; Yimthiang, S.; Vesey, D.A.; Gobe, G.C. The NOAEL Equivalent of Environmental Cadmium Exposure Associated with GFR Reduction and Chronic Kidney Disease. Toxics 2022, 10, 614. [Google Scholar] [CrossRef]
  102. Wang, X.; Wang, Y.; Feng, L.; Tong, Y.; Chen, Z.; Ying, S.; Chen, T.; Li, T.; Xia, H.; Jiang, Z.; et al. Application of the benchmark dose (BMD) method to identify thresholds of cadmium-induced renal effects in non-polluted areas in China. PLoS ONE 2016, 11, e0161240. [Google Scholar] [CrossRef]
  103. Suwazono, Y.; Nogawa, K.; Uetani, M.; Miura, K.; Sakata, K.; Okayama, A.; Ueshima, H.; Stamler, J.; Nakagawa, H. Application of hybrid approach for estimating the benchmark dose of urinary cadmium for adverse renal effects in the general population of Japan. J. Appl. Toxicol. 2011, 31, 89–93. [Google Scholar]
  104. Satarug, S.; Vesey, D.A.; Gobe, G.C.; Đorđević, A.B. The Validity of Benchmark Dose Limit Analysis for Estimating Permissible Accumulation of Cadmium. Int. J. Environ. Res. Public Health 2022, 19, 15697. [Google Scholar]
  105. Satarug, S.; Vesey, D.A.; Đorđević, A.B. The NOAEL equivalent for the cumulative body burden of cadmium: Focus on proteinuria as an endpoint. J. Environ. Expo. Assess. 2024, 3, 26. [Google Scholar] [CrossRef]
  106. Sand, S.; Filipsson, A.F.; Victorin, K. Evaluation of the benchmark dose method for dichotomous data: Model dependence and model selection. Regul. Toxicol. Pharmacol. 2002, 36, 184–197. [Google Scholar] [CrossRef] [PubMed]
  107. Filipsson, A.F.; Sand, S.; Nilsson, J.; Victorin, K. The benchmark dose method—Review of available models, and recommendations for application in health risk assessment. Crit. Rev. Toxicol. 2003, 33, 505–542. [Google Scholar] [CrossRef] [PubMed]
  108. EFSA Scientific Committee. Update: Use of the benchmark dose approach in risk assessment. EFSA J. 2017, 15, 4658. [Google Scholar] [CrossRef]
  109. Makhammajanov, Z.; Gaipov, A.; Myngbay, A.; Bukasov, R.; Aljofan, M.; Kanbay, M. Tubular toxicity of proteinuria and the progression of chronic kidney disease. Nephrol. Dial. Transplant. 2024, 39, 589–599. [Google Scholar] [CrossRef]
  110. Liu, D.; Lv, L.L. New Understanding on the Role of Proteinuria in Progression of Chronic Kidney Disease. Adv. Exp. Med. Biol. 2019, 1165, 487–500. [Google Scholar]
  111. Sharma, S.; Smyth, B. From Proteinuria to Fibrosis: An Update on Pathophysiology and Treatment Options. Kidney Blood Press. Res. 2021, 46, 411–420. [Google Scholar] [CrossRef]
  112. Satarug, S. Urinary N-acetylglucosaminidase in People Environmentally Exposed to Cadmium Is Minimally Related to Cadmium-Induced Nephron Destruction. Toxics 2024, 12, 775. [Google Scholar] [CrossRef] [PubMed]
  113. Kazeminia, S.; Eirin, A. Role of Mitochondria in Endogenous Renal Repair. Clin. Sci. 2024, 138, 963–973. [Google Scholar] [CrossRef] [PubMed]
  114. Kramann, R.; Kusaba, T.; Humphreys, B.D. Who Regenerates the Kidney Tubule? Nephrol. Dial. Transpl. 2015, 30, 903–910. [Google Scholar] [CrossRef]
  115. Shi, Z.; Taylor, A.W.; Riley, M.; Byles, J.; Liu, J.; Noakes, M. Association between Dietary Patterns, Cadmium Intake and Chronic Kidney Disease Among Adults. Clin. Nutr. 2018, 37, 276–284. [Google Scholar] [CrossRef]
  116. Cirovic, A.; Denic, A.; Clarke, B.L.; Vassallo, R.; Cirovic, A.; Landry, G.M. A Hypoxia-Driven Occurrence of Chronic Kidney Disease and Osteoporosis in COPD Individuals: New Insights into Environmental Cadmium Exposure. Toxicology 2022, 482, 153355. [Google Scholar] [CrossRef]
  117. Cirovic, A.; Cirovic, A. Factors Moderating Cadmium Bioavailability: Key Considerations for Comparing Blood Cadmium Levels Between Groups. Food Chem. Toxicol. 2024, 191, 114865. [Google Scholar] [CrossRef] [PubMed]
  118. Cirovic, A.; Milovanovic, P. Can Adjustment for Iron, Zinc, and Calcium Levels Clarify the Relationship Between Blood Cadmium and Bone Mineral Density? Osteoporos. Int. 2025, 36, 1489–1490. [Google Scholar] [CrossRef]
  119. Fujishiro, H.; Ikeue, Y.; Himeno, S.; Sumi, D. Cadmium Uptake into Rat Osteoblast UMR-106 Cells is Mediated via Multiple Pathways. Biol. Trace Elem. Res. 2025, 204, 2620–2630. [Google Scholar] [CrossRef]
  120. Nielsen, R.; Christensen, E.I.; Birn, H. Megalin and Cubilin in Proximal Tubule Protein Reabsorption: From Experimental Models to Human Disease. Kidney Int. 2016, 89, 58–67. [Google Scholar] [CrossRef]
  121. Smith, C.P.; Lee, W.K.; Haley, M.; Poulsen, S.B.; Thévenod, F.; Fenton, R.A. Proximal Tubule Transferrin Uptake Is Modulated by Cellular Iron and Mediated by Apical Membrane Megalin-Cubilin Complex and Transferrin Receptor 1. J. Biol. Chem. 2019, 294, 7025–7036. [Google Scholar] [CrossRef]
  122. Thévenod, F.; Herbrechter, R.; Schlabs, C.; Pethe, A.; Lee, W.K.; Wolff, N.A.; Roussa, E. Role of the SLC22A17/Lipocalin-2 Receptor in Renal Endocytosis of Proteins/Metalloproteins: A Focus on Iron- and Cadmium-Binding Proteins. Am. J. Physiol. Renal Physiol. 2023, 325, F564–F577. [Google Scholar] [CrossRef]
  123. Fels, J.; Scharner, B.; Zarbock, R.; Zavala Guevara, I.P.; Lee, W.-K.; Barbier, O.C.; Thévenod, F. Cadmium Complexed with β2-Microglubulin, Albumin and Lipocalin-2 rather than Metallothionein Cause Megalin: Cubilin Dependent Toxicity of the Renal Proximal Tubule. Int. J. Mol. Sci. 2019, 20, 2379. [Google Scholar] [CrossRef]
  124. Zavala-Guevara, I.P.; Ortega-Romero, M.S.; Narváez-Morales, J.; Jacobo-Estrada, T.L.; Lee, W.-K.; Arreola-Mendoza, L.; Thévenod, F.; Barbier, O.C. Increased Endocytosis of Cadmium-Metallothionein through the 24p3 Receptor in an In Vivo Model with Reduced Proximal Tubular Activity. Int. J. Mol. Sci. 2021, 22, 7262. [Google Scholar] [CrossRef]
  125. Fujishiro, H.; Sumino, M.; Sumi, D.; Umemoto, H.; Tsuneyama, K.; Matsukawa, T.; Yokoyama, K.; Himeno, S. Spatial Localization of Cadmium and Metallothionein in the Kidneys of Mice at the Early Phase of Cadmium Accumulation. J. Toxicol. Sci. 2022, 47, 507–517. [Google Scholar] [CrossRef]
  126. Boonprasert, K.; Satarug, S.; Morais, C.; Gobe, G.C.; Johnson, D.W.; Na-Bangchang, K.; Vesey, D.A. The Stress Response of Human Proximal Tubule Cells to Cadmium Involves Up-Regulation of Haemoxygenase 1 and Metallothionein but Not Cytochrome P450 Enzymes. Toxicol. Lett. 2016, 249, 5–14. [Google Scholar] [CrossRef] [PubMed]
  127. Molitoris, B.A.; Sandoval, R.M.; Yadav, S.P.S.; Wagner, M.C. Albumin uptake and processing by the proximal tubule: Physiological, pathological, and therapeutic implications. Physiol. Rev. 2022, 102, 1625–1667. [Google Scholar] [CrossRef] [PubMed]
  128. Comper, W.D.; Vuchkova, J.; McCarthy, K.J. New insights into proteinuria/albuminuria. Front. Physiol. 2022, 13, 991756. [Google Scholar] [CrossRef] [PubMed]
  129. Castrop, H.; Schießl, I.M. Novel routes of albumin passage across the glomerular filtration barrier. Acta Physiol. 2017, 219, 544–553. [Google Scholar] [CrossRef]
  130. Gburek, J.; Konopska, B.; Gołąb, K. Renal handling of albumin-from early findings to current concepts. Int. J. Mol. Sci. 2021, 22, 5809. [Google Scholar] [CrossRef]
  131. Bernard, A.; Lauwerys, R.; Ouled Amor, A. Loss of glomerular polyanion correlated with albuminuria in experimental cadmium nephropathy. Arch. Toxicol. 1992, 66, 272–278. [Google Scholar] [CrossRef]
  132. Cardenas, A.; Bernard, A.M.; Lauwerys, R.R. Disturbance of sialic acid metabolism by chronic cadmium exposure and its relation to proteinuria. Toxicol. Appl. Pharmacol. 1991, 108, 547–558. [Google Scholar] [CrossRef]
  133. Li, L.; Dong, F.; Xu, D.; Du, L.; Yan, S.; Hu, H.; Lobe, C.G.; Yi, F.; Kapron, C.M.; Liu, J. Short-term, low-dose cadmium exposure induces hyperpermeability in human renal glomerular endothelial cells. J. Appl. Toxicol. 2016, 36, 257–265. [Google Scholar] [CrossRef]
  134. Li, Z.; Jiang, L.; Tao, T.; Su, W.; Guo, Y.; Yu, H.; Qin, J. Assessment of cadmium-induced nephrotoxicity using a kidney-on-a-chip device. Toxicol. Res. 2017, 6, 372–380. [Google Scholar] [CrossRef]
  135. Satarug, S.; Vesey, D.A.; Gobe, G.C.; Phelps, K.R. The pathogenesis of albuminuria in cadmium nephropathy. Curr. Res. Toxicol. 2023, 6, 100140. [Google Scholar] [CrossRef] [PubMed]
  136. Zhang, K.; Long, M.; Dong, W.; Li, J.; Wang, X.; Liu, W.; Huang, Q.; Ping, Y.; Zou, H.; Song, R.; et al. Cadmium Induces Kidney Iron Deficiency and Chronic Kidney Injury by Interfering with the Iron Metabolism in Rats. Int. J. Mol. Sci. 2024, 25, 763. [Google Scholar] [CrossRef] [PubMed]
  137. Abouhamed, M.; Gburek, J.; Liu, W.; Torchalski, B.; Wilhelm, A.; Wolff, N.A.; Christensen, E.I.; Thévenod, F.; Smith, C.P. Divalent metal transporter 1 in the kidney proximal tubule is expressed in late endosomes/lysosomal membranes: Implications for renal handling of protein-metal complexes. Am. J. Physiol. Renal Physiol. 2006, 290, F1525–F1533. [Google Scholar] [CrossRef] [PubMed]
  138. Abouhamed, M.; Wolff, N.A.; Lee, W.K.; Smith, C.P.; Thévenod, F. Knockdown of endosomal/lysosomal divalent metal transporter 1 by RNA interference prevents cadmium-metallothionein-1 cytotoxicity in renal proximal tubule cells. Am. J. Physiol. Renal Physiol. 2007, 293, F705–F712. [Google Scholar] [CrossRef]
  139. Lee, W.K.; Thévenod, F. Cell organelles as targets of mammalian cadmium toxicity. Arch. Toxicol. 2020, 94, 1017–1049. [Google Scholar] [CrossRef]
  140. Wolf, C.; Strenziok, R.; Kyriakopoulos, A. Elevated metallothionein-bound cadmium concentrations in urine from bladder carcinoma patients, investigated by size exclusion chromatography-inductively coupled plasma mass spectrometry. Anal. Chim. Acta 2009, 631, 218–222. [Google Scholar] [CrossRef]
  141. Sabolić, I.; Škarica, M.; Ljubojević, M.; Breljak, D.; Herak-Kramberger, C.M.; Crljen, V.; Ljubešić, N. Expression and immunolocalization of metallothioneins MT1, MT2 and MT3 in rat nephron. J. Trace Elem. Med. Biol. 2018, 46, 62–75. [Google Scholar] [CrossRef]
  142. Fujiwara, Y.; Lee, J.Y.; Tokumoto, M.; Satoh, M. Cadmium renal toxicity via apoptotic pathways. Biol. Pharm. Bull. 2012, 35, 1892–1897. [Google Scholar] [CrossRef] [PubMed]
  143. Lenoir, O.; Tharaux, P.L.; Huber, T.B. Autophagy in kidney disease and aging: Lessons from rodent models. Kidney Int. 2016, 90, 950–964. [Google Scholar] [CrossRef] [PubMed]
  144. Liang, S.; Wu, Y.S.; Li, D.Y.; Tang, J.X.; Liu, H.F. Autophagy and Renal Fibrosis. Aging Dis. 2022, 13, 712–731. [Google Scholar] [CrossRef]
  145. Dong, P.F.; Liu, T.B.; Chen, K.; Li, D.; Li, Y.; Lian, C.Y.; Wang, Z.Y.; Wang, L. Cadmium targeting transcription factor EB to inhibit autophagy-lysosome function contributes to acute kidney injury. J. Adv. Res. 2025, 72, 653–669. [Google Scholar] [CrossRef] [PubMed]
  146. Okubo, A.; Nakashima, A.; Doi, S.; Doi, T.; Ueno, T.; Maeda, K.; Tamura, R.; Yamane, K.; Masaki, T. High-normal albuminuria is strongly associated with incident chronic kidney disease in a nondiabetic population with normal range of albuminuria and normal kidney function. Clin. Exp. Nephrol. 2020, 24, 435–443. [Google Scholar] [CrossRef]
  147. Zhang, Y.; Jiang, R.; Shi, Z.; Sui, Y.; Cheng, J.; Suda, M.; Niimi, M.; Gao, K.; Fan, J.; Yao, J. Oxidized Albumin Induces Renal Tubular Cell Death and Promotes the Progression of Renal Diseases Through Ferroptosis. Int. J. Mol. Sci. 2025, 26, 5924. [Google Scholar] [CrossRef]
  148. Chen, M.; Gu, X. Emerging roles of proximal tubular endocytosis in renal fibrosis. Front. Cell Dev. Biol. 2023, 11, 1235716. [Google Scholar] [CrossRef]
  149. Thijssen, S.; Lambrichts, I.; Maringwa, J.; Van Kerkhove, E. Changes in expression of fibrotic markers and histopathological alterations in kidneys of mice chronically exposed to low and high Cd doses. Toxicology 2007, 238, 200–210. [Google Scholar] [CrossRef]
  150. Liang, L.; Huang, K.; Yuan, W.; Liu, L.; Zou, F.; Wang, G. Dysregulations of miR-503-5p and Wnt/β-catenin pathway coordinate in mediating cadmium-induced kidney fibrosis. Ecotoxicol. Environ. Saf. 2021, 224, 112667. [Google Scholar] [CrossRef]
  151. Gobe, G.C.; Mott, S.A.; de Jonge, M.; Hoy, W.E. Heavy metal imaging in fibrotic human kidney tissue using the synchrotron X-ray fluorescence microprobe. Transl. Androl. Urol. 2019, 8, S184–S191. [Google Scholar] [CrossRef]
  152. Barregard, L.; Sallsten, G.; Lundh, T.; Mölne, J. Low-level exposure to lead, cadmium and mercury, and histopathological findings in kidney biopsies. Environ. Res. 2022, 211, 113119. [Google Scholar] [CrossRef]
  153. Satarug, S.; Vesey, D.A.; Gobe, G.C.; Yimthiang, S.; Buha Đorđević, A. Health Risk in a Geographic Area of Thailand with Endemic Cadmium Contamination: Focus on Albuminuria. Toxics 2023, 11, 68. [Google Scholar] [CrossRef]
  154. Satarug, S.; Vesey, D.A.; Gobe, G.C. Cadmium-Induced Proteinuria: Mechanistic Insights from Dose–Effect Analyses. Int. J. Mol. Sci. 2023, 24, 1893. [Google Scholar] [CrossRef] [PubMed]
  155. Cirovic, A.; Cirovic, A. Iron deficiency as a promoter of cadmium-induced cardiotoxicity. Eur. Heart J. 2023, 44, 2639–2640. [Google Scholar] [CrossRef] [PubMed]
  156. Cirovic, A.; Starcevic, A.; Ivanovski, A.; Bogicevic, D.; Orisakwe, O.E.; Cirovic, A. Mechanisms Underlying Iron Deficiency-Induced Cardiac Disorders: Implications for Treatment. Discov. Med. 2025, 37, 31–41. [Google Scholar] [CrossRef]
  157. Foreman, K.J.; Marquez, N.; Dolgert, A.; Fukutaki, K.; Fullman, N.; McGaughey, M.; Pletcher, M.A.; Smith, A.E.; Tang, K.; Yuan, C.W.; et al. Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: Reference and alternative scenarios for 2016-40 for 195 countries and territories. Lancet 2018, 392, 2052–2090. [Google Scholar] [CrossRef]
  158. GBD 2021 Forecasting Collaborators. Burden of disease scenarios for 204 countries and territories, 2022–2050: A forecasting analysis for the Global Burden of Disease Study 2021. Lancet 2024, 403, 2204–2256. [Google Scholar] [CrossRef] [PubMed]
  159. Demchenkov, E.L.; Nagdalian, A.A.; Budkevich, R.O.; Oboturova, N.P.; Okolelova, A.I. Usage of atomic force microscopy for detection of the damaging effect of CdCl2 on red blood cells membrane. Ecotoxicol. Environ. Saf. 2021, 208, 111683. [Google Scholar] [CrossRef] [PubMed]
  160. Cirovic, A.; Cirovic, A. Iron deficiency as promoter of heavy metals-induced acute myeloid leukemia. Leuk. Res. 2022, 112, 106755. [Google Scholar] [CrossRef] [PubMed]
  161. Djulejic, V.; Petrovic, B.; Jevtic, J.; Vujacic, M.; Clarke, B.L.; Cirovic, A.; Cirovic, A. The role of cadmium in the pathogenesis of myeloid leukemia in individuals with anemia, deficiencies in vitamin D, zinc, and low calcium dietary intake. J. Trace Elem. Med. Biol. 2023, 79, 127263. [Google Scholar] [CrossRef] [PubMed]
  162. Djulejic, V.; Ivanovski, A.; Cirovic, A.; Cirovic, A. Increased Cadmium Load, Vitamin D Deficiency, and Elevated FGF23 Levels as Pathophysiological Factors Potentially Linked to the Onset of Acute Lymphoblastic Leukemia: A Review. J. Pers. Med. 2024, 14, 1036. [Google Scholar] [CrossRef]
  163. Thévenod, F.; Lee, W.K.; Garrick, M.D. Iron and Cadmium Entry into Renal Mitochondria: Physiological and Toxicological Implications. Front. Cell Dev. Biol. 2020, 8, 848. [Google Scholar] [CrossRef]
  164. Romanova, N.; Sule, K.; Issler, T.; Hebrok, D.; Persicke, M.; Thévenod, F.; Prenner, E.J.; Lee, W.K. Cadmium-Cardiolipin Disruption of Respirasome Assembly and Redox Balance through Mitochondrial Membrane Rigidification. J. Lipid Res. 2025, 66, 100750. [Google Scholar] [CrossRef]
  165. Branca, J.J.V.; Pacini, A.; Gulisano, M.; Taddei, N.; Fiorillo, C.; Becatti, M. Cadmium-induced cytotoxicity: Effects on mitochondrial electron transport chain. Front. Cell Dev. Biol. 2020, 8, 604377. [Google Scholar] [CrossRef]
  166. Lee, W.K.; Probst, S.; Scharner, B.; Deba, T.; Dahdouh, F.; Thévenod, F. Distinct concentration-dependent oxidative stress profiles by cadmium in a rat kidney proximal tubule cell line. Arch. Toxicol. 2024, 98, 1043–1059. [Google Scholar] [CrossRef]
  167. Tavakolpournegari, A.; Moosavi, S.S.; Matinahmadi, A.; Zayani, Z.; Bidooki, S.H. Exploring How Reactive Oxygen Species Contribute to Cancer via Oxidative Stress. Stresses 2025, 5, 69. [Google Scholar] [CrossRef]
  168. Krężel, A.; Maret, W. The functions of metamorphic metallothioneins in zinc and copper metabolism. Int. J. Mol. Sci. 2017, 18, 1237. [Google Scholar] [CrossRef]
  169. Krężel, A.; Maret, W. The bioinorganic chemistry of mammalian metallothioneins. Chem. Rev. 2021, 121, 14594–14648. [Google Scholar] [CrossRef] [PubMed]
  170. Boonprasert, K.; Ruengweerayut, R.; Aunpad, R.; Satarug, S.; Na-Bangchang, K. Expression of metallothionein isoforms in peripheral blood leukocytes from Thai population residing in cadmium-contaminated areas. Environ. Toxicol. Pharmacol. 2012, 34, 935–940. [Google Scholar] [CrossRef] [PubMed]
  171. Hennigar, S.R.; Kelley, A.M.; McClung, J.P. Metallothionein and zinc transporter expression in circulating human blood cells as biomarkers of zinc status: A systematic review. Adv. Nutr. 2016, 7, 735–746. [Google Scholar] [CrossRef]
  172. Garrett, S.H.; Sens, M.A.; Todd, J.H.; Somji, S.; Sens, D.A. Expression of MT-3 protein in the human kidney. Toxicol. Lett. 1999, 105, 207–214. [Google Scholar] [CrossRef]
  173. Vašák, M.; Meloni, G. Mammalian metallothionein-3: New functional and structural insights. Int. J. Mol. Sci. 2017, 18, 1117. [Google Scholar] [CrossRef]
  174. Tsai, H.-J.; Hung, C.-H.; Wang, C.-W.; Tu, H.-P.; Li, C.-H.; Tsai, C.-C.; Lin, W.-Y.; Chen, S.-C.; Kuo, C.-H. Associations among Heavy Metals and Proteinuria and Chronic Kidney Disease. Diagnostics 2021, 11, 282. [Google Scholar] [CrossRef]
  175. Sun, D.Q.; Zhong, M.Y.; Zhang, J.H.; Tang, H.; Hu, B.; Shen, J.Q.; Yan, F.; Xu, X.Y.; Chen, K.; Targher, G.; et al. Oxidized-LDL aggravates renal injury via tubular cuproptosis. Cell Signal. 2025, 132, 111839. [Google Scholar] [CrossRef]
  176. Misra, R.R.; Hochadel, J.F.; Smith, G.T.; Cook, J.C.; Waalkes, M.P.; Wink, D.A. Evidence that nitric oxide enhances cadmium toxicity by displacing the metal from metallothionein. Chem. Res. Toxicol. 1996, 9, 326–332. [Google Scholar] [CrossRef] [PubMed]
  177. Satarug, S.; Baker, J.R.; Reilly, P.E.; Esumi, H.; Moore, M.R. Evidence for a synergistic interaction between cadmium and endotoxin toxicity and for nitric oxide and cadmium displacement of metals in the kidney. Nitric Oxide 2000, 4, 431–440. [Google Scholar] [CrossRef]
  178. Zhu, J.; Meeusen, J.; Krezoski, S.; Petering, D.H. Reactivity of Zn-, Cd-, and apo-metallothionein with nitric oxide compounds: In vitro and cellular comparison. Chem. Res. Toxicol. 2010, 23, 422–431. [Google Scholar] [CrossRef]
  179. Petering, D.H. Reactions of the Zn proteome with Cd2+ and other xenobiotics: Trafficking and toxicity. Chem. Res. Toxicol. 2017, 30, 189–202. [Google Scholar] [CrossRef] [PubMed]
  180. Petering, D.H.; Mahim, A. Proteomic High Affinity Zn2+ Trafficking: Where Does Metallothionein Fit in? Int. J. Mol. Sci. 2017, 18, 1289. [Google Scholar] [CrossRef]
  181. Hübner, C.; Haase, H. Interactions of zinc- and redox-signaling pathways. Redox Biol. 2021, 41, 101916. [Google Scholar] [CrossRef] [PubMed]
  182. Polykretis, P.; Cencetti, F.; Donati, C.; Luchinat, E.; Banci, L. Cadmium effects on superoxide dismutase 1 in human cells revealed by NMR. Redox Biol. 2019, 21, 101102. [Google Scholar] [CrossRef] [PubMed]
  183. Medina, M.V.; Sapochnik, D.; Garcia Solá, M.; Coso, O. Regulation of the expression of heme oxygenase-1: Signal transduction, gene promoter activation, and beyond. Antioxid. Redox Signal. 2020, 32, 1033–1044. [Google Scholar] [CrossRef]
  184. Satarug, S.; Wisedpanichkij, R.; Takeda, K.; Li, B.; Na-Bangchang, K.; Moore, M.R.; Shibahara, S. Prostaglandin D2 induces heme oxygenase-1 mRNA expression through the DP2 receptor. Biochem. Biophys. Res. Commun. 2008, 377, 878–883. [Google Scholar] [CrossRef]
  185. Takeda, T.A.; Mu, A.; Tai, T.T.; Kitajima, S.; Taketani, S. Continuous de novo biosynthesis of haem and its rapid turnover to bilirubin are necessary for cytoprotection against cell damage. Sci. Rep. 2015, 5, 10488. [Google Scholar] [CrossRef]
  186. Takeda, K.; Ishizawa, S.; Sato, M.; Yoshida, T.; Shibahara, S. Identification of a cis-acting element that is responsible for cadmium-mediated induction of the human heme oxygenase gene. J. Biol. Chem. 1994, 269, 22858–22867. [Google Scholar] [CrossRef]
  187. Stewart, D.; Killeen, E.; Naquin, R.; Alam, S.; Alam, J. Degradation of transcription factor Nrf2 via the ubiquitin-proteasome pathway and stabilization by cadmium. J. Biol. Chem. 2003, 278, 2396–2402. [Google Scholar] [CrossRef]
  188. Suzuki, H.; Tashiro, S.; Sun, J.; Doi, H.; Satomi, S.; Igarashi, K. Cadmium induces nuclear export of Bach1, a transcriptional repressor of heme oxygenase-1 gene. J. Biol. Chem. 2003, 278, 49246–49253. [Google Scholar] [CrossRef]
  189. Simmons, S.O.; Fan, C.Y.; Yeoman, K.; Wakefield, J.; Ramabhadran, R. NRF2 Oxidative Stress Induced by Heavy Metals is Cell Type Dependent. Curr. Chem. Genom. 2011, 5, 1–12. [Google Scholar] [CrossRef]
  190. Lin, J.P.; Vitek, L.; Schwertner, H.A. Serum bilirubin and genes controlling bilirubin concentrations as biomarkers for cardiovascular disease. Clin. Chem. 2010, 56, 1535–1543. [Google Scholar] [CrossRef] [PubMed]
  191. Zhao, C.; Yu, D.; He, Z.; Bao, L.; Feng, L.; Chen, L.; Liu, Z.; Hu, X.; Zhang, N.; Wang, T.; et al. Endoplasmic reticulum stress-mediated autophagy activation is involved in cadmium-induced ferroptosis of renal tubular epithelial cells. Free Radic. Biol. Med. 2021, 175, 236–248. [Google Scholar] [CrossRef]
  192. Deng, P.; Li, J.; Lu, Y.; Hao, R.; He, M.; Li, M.; Tan, M.; Gao, P.; Wang, L.; Hong, H.; et al. Chronic cadmium exposure triggered ferroptosis by perturbing the STEAP3-mediated glutathione redox balance linked to altered metabolomic signatures in humans. Sci. Total Environ. 2023, 905, 167039. [Google Scholar] [CrossRef]
  193. Lv, Y.T.; Liu, T.B.; Li, Y.; Wang, Z.Y.; Lian, C.Y.; Wang, L. HO-1 activation contributes to cadmium-induced ferroptosis in renal tubular epithelial cells via increasing the labile iron pool and promoting mitochondrial ROS generation. Chem. Biol. Interact. 2024, 399, 111152. [Google Scholar] [CrossRef]
  194. Luo, T.; Song, S.; Wang, S.; Jiang, S.; Zhou, B.; Song, Q.; Shen, L.; Wang, X.; Song, H.; Shao, C. Mechanistic insights into cadmium-induced nephrotoxicity: NRF2-Driven HO-1 activation promotes ferroptosis via iron overload and oxidative stress in vitro. Free Radic. Biol. Med. 2025, 235, 162–175. [Google Scholar] [CrossRef]
  195. Rochette, L.; Dogon, G.; Rigal, E.; Zeller, M.; Cottin, Y.; Vergely, C. Lipid Peroxidation and Iron Metabolism: Two Corner Stones in the Homeostasis Control of Ferroptosis. Int. J. Mol. Sci. 2023, 24, 449. [Google Scholar] [CrossRef]
  196. Zhang, X.; Hua, Z.; Lu, Z.; Wang, B.; Wang, P.; Zhang, S.; Yang, X.; Zhang, C. Overview of Ferroptosis in Cadmium Toxicity. Biol. Trace Elem. Res. 2025, 204, 2467–2484. [Google Scholar] [CrossRef] [PubMed]
  197. Nan, W.; Zhou, W.M.; Zi, J.L.; Shi, Y.Q.; Dong, Y.B.; Song, W.; Ma, Y.C.; Zhang, H.H. Ferroptosis and bone metabolic diseases: The dual regulatory role of the Nrf2/HO-1 signaling axis. Front. Cell Dev. Biol. 2025, 13, 1615197. [Google Scholar] [CrossRef] [PubMed]
  198. Li, J.; Wang, Y.; Huang, Y.; Li, N.; Zhu, Y.; Lin, S.; Wang, L.; Guo, W.; Yan, L.; Tian, C.; et al. Cadmium exposure is associated with impaired ovarian function: Potential role of cadmium-induced ferroptosis in granulosa cells. J. Hazard Mater. 2026, 503, 141148. [Google Scholar] [CrossRef]
  199. Xiong, L.; Yi, L.; Zeng, X.; Huang, J.; Liu, H.; Li, H. Cadmium induces ferroptosis in mouse spermatocytes by activating the ROS-TCA pathway. Sci. Rep. 2026, 16, 8449. [Google Scholar] [CrossRef] [PubMed]
  200. Wang, X.; Dong, W.; Zhao, J.; Chen, N.; Zheng, T.; Liu, Y.; Li, Q.; Ye, H.; Li, H.; Xie, L. Alpha-ketoglutarate alleviates Cadmium-induced ferroptosis in association with enhanced mitochondrial function in testes. Reprod. Toxicol. 2026, 143, 109249. [Google Scholar] [CrossRef]
  201. Hahn, D.; Shin, S.H.; Bae, J.S. Natural antioxidant and anti-inflammatory compounds in foodstuff or medicinal herbs inducing heme oxygenase-1 expression. Antioxidants 2020, 9, 1191. [Google Scholar] [CrossRef] [PubMed]
  202. Colacino, J.A.; Arthur, A.E.; Ferguson, K.K.; Rozek, L.S. Dietary antioxidant and anti-inflammatory intake modifies the effect of cadmium exposure on markers of systemic inflammation and oxidative stress. Environ. Res. 2014, 131, 6–12. [Google Scholar] [CrossRef]
  203. Joshi, S.; Hashmi, S.; Shah, S.; Kalantar-Zadeh, K. Plant-based diets for prevention and management of chronic kidney disease. Curr. Opin. Nephrol. Hypertens. 2020, 29, 16–21. [Google Scholar] [CrossRef] [PubMed]
  204. Joshi, S.; McMacken, M.; Kalantar-Zadeh, K. Plant-Based Diets for Kidney Disease: A Guide for Clinicians. Am. J. Kidney Dis. 2021, 77, 287–296. [Google Scholar] [CrossRef]
  205. Kim, H.; Rebholz, C.M. Plant-based diets for kidney disease prevention and treatment. Curr. Opin. Nephrol. Hypertens. 2024, 33, 593–602. [Google Scholar] [CrossRef]
  206. Tamaru, E.; Kokubu, D.; Ushida, Y.; Itoh, K. Nrf2 induction potency of plant-derived compounds determined using an antioxidant response element luciferase reporter and conventional NAD(P)H-quinone acceptor oxidoreductase 1 activity assay. BMC Res. Notes 2024, 17, 373. [Google Scholar] [CrossRef]
  207. Lee, W.H.; Kipp, Z.A.; Pauss, S.N.; Martinez, G.J.; Bates, E.A.; Badmus, O.O.; Stec, D.E.; Hinds, T.D., Jr. Heme Oxygenase, Biliverdin Reductase, and Bilirubin Pathways Regulate Oxidative Stress and Insulin Resistance: A Focus on Diabetes and Therapeutics. Clin. Sci. 2025, 139, 171–198. [Google Scholar] [CrossRef]
  208. Kipp, Z.A.; Pauss, S.N.; Martinez, G.J.; Hinds, T.D., Jr.; Lee, W.-H. Bilirubin Hepatic and Intestinal Transport and Catabolism: Physiology, Pathophysiology, and Benefits. Antioxidants 2025, 14, 1326. [Google Scholar] [CrossRef]
  209. Kipp, Z.A.; Badmus, O.O.; Stec, D.E.; Hall, B.; Hinds, T.D., Jr. Bilirubin bioconversion to urobilin in the gut-liver-kidney axis: A biomarker for insulin resistance in the Cardiovascular-Kidney-Metabolic (CKM) Syndrome. Metabolism 2025, 163, 156081. [Google Scholar] [CrossRef]
  210. Shi, P.; Yan, H.; Fan, X.; Xi, S. A benchmark dose analysis for urinary cadmium and type 2 diabetes mellitus. Environ. Pollut. 2021, 273, 116519. [Google Scholar] [CrossRef]
  211. Chu, H.; Zhang, H.; Ren, D.; Jiang, X.; Yu, Y.; Zhu, J.; Li, K.; Liu, H.; Xu, L.; Li, X.; et al. Assessing the health risks of rice cadmium content standards in China. Sci. Adv. 2026, 12, eadw4382. [Google Scholar] [CrossRef]
Figure 1. Sup-population groups with increased susceptibility to cadmium toxicity. The passage of Cd from mother to fetus is negligible because of the placental barrier [27]. Pb is readily transferred to fetus, especially when body content of Fe and Zn are low (↓). No comparable barrier exists in the mammary glands; consequently, Cd is secreted in breast milk [31,32,33].
Figure 1. Sup-population groups with increased susceptibility to cadmium toxicity. The passage of Cd from mother to fetus is negligible because of the placental barrier [27]. Pb is readily transferred to fetus, especially when body content of Fe and Zn are low (↓). No comparable barrier exists in the mammary glands; consequently, Cd is secreted in breast milk [31,32,33].
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Figure 2. The pathways for cadmium from foods to bone and kidney targets. Multiple metal transport proteins are involved in Cd absorption, including those for Fe (DMT1) [45], Zn (ZIP14) [46,47], copper (ATP7A) [48] and calcium (TRPV6) [49,50]. Thus, Cd is absorbed at a rate higher than that of Fe, Zn, and Ca, which can be enhanced further in those with low body iron stores, more prevalent in women than men, as well as in children than adults [1,2]. Also, the SLC22A17 or human neutrophil gelatinase-associated lipocalin (hNGAL)/lipocalin-2 receptor facilitates the assimilation of Cd complexed with metallothionein (MT) and the plant metal-binding ligand phytochelatin (PC), denoted as CdMT and CdPC, respectively [51,52].
Figure 2. The pathways for cadmium from foods to bone and kidney targets. Multiple metal transport proteins are involved in Cd absorption, including those for Fe (DMT1) [45], Zn (ZIP14) [46,47], copper (ATP7A) [48] and calcium (TRPV6) [49,50]. Thus, Cd is absorbed at a rate higher than that of Fe, Zn, and Ca, which can be enhanced further in those with low body iron stores, more prevalent in women than men, as well as in children than adults [1,2]. Also, the SLC22A17 or human neutrophil gelatinase-associated lipocalin (hNGAL)/lipocalin-2 receptor facilitates the assimilation of Cd complexed with metallothionein (MT) and the plant metal-binding ligand phytochelatin (PC), denoted as CdMT and CdPC, respectively [51,52].
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Figure 3. Biosynthesis and the catabolism of β2-microglobulin. The protein β2M is released into bloodstream from the surface of most nucleated cells, including white blood cells [12,92]. With the low molecular weight of 11.8 kDa, β2M is filtered by the glomeruli, retrieved by the proximal tubular cells (PTCs), and degraded in lysosome. Increased β2M excretion can be due to enhanced synthesis, impaired reabsorption/catabolism, or nephron loss. This figure is from Phelps et al. https://dx.doi.org/10.20517/jeea.2025.09 (accessed on 17 March 2026) [93].
Figure 3. Biosynthesis and the catabolism of β2-microglobulin. The protein β2M is released into bloodstream from the surface of most nucleated cells, including white blood cells [12,92]. With the low molecular weight of 11.8 kDa, β2M is filtered by the glomeruli, retrieved by the proximal tubular cells (PTCs), and degraded in lysosome. Increased β2M excretion can be due to enhanced synthesis, impaired reabsorption/catabolism, or nephron loss. This figure is from Phelps et al. https://dx.doi.org/10.20517/jeea.2025.09 (accessed on 17 March 2026) [93].
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Figure 4. Cd excretion rate associated with a 5% increase in β2M excretion. Bootstrap dose–response model averaging with 200 repeats for Eβ2M/Ecr − ECd/Ecr dataset (A), dose–response models and model weights (B), and BMDL/BMDU values for Cd excretion rates (C). × and △ represent male and female participants, respectively. Data were from 799 subjects (300 men and 499 women), aged 19–87 years (mean of 49.2 years) [42].
Figure 4. Cd excretion rate associated with a 5% increase in β2M excretion. Bootstrap dose–response model averaging with 200 repeats for Eβ2M/Ecr − ECd/Ecr dataset (A), dose–response models and model weights (B), and BMDL/BMDU values for Cd excretion rates (C). × and △ represent male and female participants, respectively. Data were from 799 subjects (300 men and 499 women), aged 19–87 years (mean of 49.2 years) [42].
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Figure 5. Cd excretion rate associated with a 5% reduction in eGFR. Bootstrap dose–response model averaging with 200 repeats for eGFR/ECd/Ecr dataset (A), dose–response models and model weights (B) and BMDL/BMDU values for Cd excretion rates (C). × and △ represent male and female participants, respectively. Data were from 799 subjects (300 men and 499 women), aged 19–87 years (mean 49.2 years) [42].
Figure 5. Cd excretion rate associated with a 5% reduction in eGFR. Bootstrap dose–response model averaging with 200 repeats for eGFR/ECd/Ecr dataset (A), dose–response models and model weights (B) and BMDL/BMDU values for Cd excretion rates (C). × and △ represent male and female participants, respectively. Data were from 799 subjects (300 men and 499 women), aged 19–87 years (mean 49.2 years) [42].
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Figure 6. Cd excretion rates associated with 5% prevalences of proteinuria and CKD. Bootstrap dose–response model averaging with 200 repeats for proteinuria prevalence-ECd/Ecr (A), CKD prevalence-ECd/Ecr datasets (B), dose–response models and model weights (C,D), and BMDL/BMDU values for Cd excretion rates (E,F). Data were from 405 subjects (197 men and 208 women), aged 19–87 years (mean of 44.6 years) [105].
Figure 6. Cd excretion rates associated with 5% prevalences of proteinuria and CKD. Bootstrap dose–response model averaging with 200 repeats for proteinuria prevalence-ECd/Ecr (A), CKD prevalence-ECd/Ecr datasets (B), dose–response models and model weights (C,D), and BMDL/BMDU values for Cd excretion rates (E,F). Data were from 405 subjects (197 men and 208 women), aged 19–87 years (mean of 44.6 years) [105].
Toxics 14 00408 g006
Figure 7. Reabsorption of β2M and albumin by the proximal tubular cell. Filtered β2M is reabsorbed totally via REM, followed by lysosomal degradation [91]. Only a small fraction of albumin is reabsorbed through RME, degraded in lysosome from which Cd is released [137,138], and subsequently bound to preexisting or nascent MT [90].
Figure 7. Reabsorption of β2M and albumin by the proximal tubular cell. Filtered β2M is reabsorbed totally via REM, followed by lysosomal degradation [91]. Only a small fraction of albumin is reabsorbed through RME, degraded in lysosome from which Cd is released [137,138], and subsequently bound to preexisting or nascent MT [90].
Toxics 14 00408 g007
Figure 8. Uptake and accumulation of Cd by the kidney proximal tubular cell. Many specialized transport proteins are expressed by the proximal tubular cells (PTCs), which enable them to retrieve all nutrients, i.e., glucose, amino acids, metals and filtered proteins from filtrate. The receptor-mediated endocytosis (RME) involving megalin/cubilin is responsible for protein internalization, β2M, and albumin [122,123]. Reabsorption of Cd-MT complexes occurs in the distal and collecting tubules, involving SLC22A17/lipocalin-2 receptor [124]. There is little evidence that Cd-MT is reabsorbed by megalin/cubilin RME [90]. Upward (↑) and downward (↓) arrows indicate rising/falling expression levels and catalytic activities.
Figure 8. Uptake and accumulation of Cd by the kidney proximal tubular cell. Many specialized transport proteins are expressed by the proximal tubular cells (PTCs), which enable them to retrieve all nutrients, i.e., glucose, amino acids, metals and filtered proteins from filtrate. The receptor-mediated endocytosis (RME) involving megalin/cubilin is responsible for protein internalization, β2M, and albumin [122,123]. Reabsorption of Cd-MT complexes occurs in the distal and collecting tubules, involving SLC22A17/lipocalin-2 receptor [124]. There is little evidence that Cd-MT is reabsorbed by megalin/cubilin RME [90]. Upward (↑) and downward (↓) arrows indicate rising/falling expression levels and catalytic activities.
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Table 1. Comparison of international Cd exposure guidelines and derived thresholds.
Table 1. Comparison of international Cd exposure guidelines and derived thresholds.
Toxicity Target/EndpointExposure Limit/ThresholdReference
Kidneys/β2M excretion ≥ 300 µg/g of creatinineTDI of 0.83 μg/kg b.w./d
5.24 μg/g creatinine
JECFA, 2010 [61,62]
Kidneys/β2M excretion ≥ 300 µg/g of creatinineRfD of 0.36 μg/kg b.w./d
1 μg/g creatinine
EFSA, 2011 [63]
Kidneys and bones/
β2M excretion and bone mineral
density
TRV of 0.21−0.36 μg/kg b.w./d
0.5 μg/g creatinine
US FDA, 2023 [64]
Bones/bone mineral densityMRL of 0.5 µg/kg b.w./d for an intermediate exposure duration
(15−365 d)
ATSDR, 2017 [43]
Lungs/alveolar histiocytic
infiltration and focal inflammation in alveolar septa
MRL of 0.03 μg CdO/m3 for an acute exposure duration (1−14 d)ATSDR, 2017 [43]
β2M, β2-microglobulin; TDI, tolerable daily intake; RfD, reference dose; TRV, toxicological reference value; MRL, minimal risk level; CdO, cadmium oxide.
Table 2. Estimated cadmium exposure levels through the diet.
Table 2. Estimated cadmium exposure levels through the diet.
FoodsCd, mg/kgIntake, g/dExposure, µg/d
MaximumTypicalHighAverage
Vegetables; potatoes, included0.10.052502512.5
Cereals, pulses, legumes; rice, wheat grain included0.20.052004010
Fruit0.050.011507.51.5
Oilseeds and cocoa beans1.00.5110.5
Meat; cattle, poultry, pig, sheep0.10.02150153.0
Liver; cattle, poultry, pig, sheep0.50.152.50.5
Kidney; cattle, poultry, pig, sheep2.00.5120.5
Fish0.050.02301.50.6
Crustaceans, mollusks20.25360.75
TOTAL93.530
Food types and consumption rates were based on a typical Australian diet [88]. The mean dietary Cd exposure among Australian children, aged 8 years, was 60% of JEFCA’s TDI [88].
Table 3. Benchmark cadmium excretion rates for nephrotoxicity and CKD development.
Table 3. Benchmark cadmium excretion rates for nephrotoxicity and CKD development.
Method/EndpointCd excretion BenchmarkCountry/
Reference
Conventional
BMD
RBP, β2M, and NAG
For men, BMDL5 (BMDL10) values for Cd excretion rates with abnormal excretion of RBP, β2M, and NAG were 0.89 (1.59), 0.62 (1.30), and 0.49 (1.04) μg/g cr., respectively
Corresponding BMDL5 (BMDL10) values for Cd excretion rates in women were 0.76 (1.53), 0.64 (1.34), and 0.65 (1.37) μg/g cr.
China, Wang
et al. [102]
Conventional
BMD
β2M
Respective BMD values of Cd excretion rates with abnormal β2M excretion in men and women were 0.6–1.2 and 0.6–2.3 µg g cr. [102].Japan,
Suwazono
et al. [103]
Advanced BMD
β2M, NAG
Cd excretion benchmarks at 5% increase in NAG excretion in men and women were 0.060 and 0.069 µg/g of cr., respectively.
BMDL10 value of Cd excretion rate at 10% prevalence of β2M excretion rates ≥ 300 μg/g cr. were 0.469 and 0.733 µg/g of cr. in men and women, respectively.
Thailand,
Satarug et al. [104]
Advanced BMD
Total protein, eGFR
Cd excretion benchmark at 5% (10%) increase in protein excretion was 0.054 (0.114) µg/g of cr.
BMDL5 (BMDL10) value of Cd excretion at 5% (10%) prevalence of CKD was 1.19 (1.35) µg/g of cr.
BMDL5 (BMDL10) value of Cd excretion at 5% prevalence of proteinuria was 1.86 (4.47) µg/g of cr.
Thailand,
Satarug et al. [105]
RBP, β2M, β2-microglobulin; NAG, N-acetyl-β-D-glucosaminidase; cr, creatinine; eGFR, estimated glomerular filtration rate. CKD was defined as eGFR values ≤ 60 mL/min/1.73 m2. Proteinuria was defined as excretion of protein rates ≥ 100 mg/g cr.
Table 4. Estimated amounts of albumin and β2M reabsorption through RME.
Table 4. Estimated amounts of albumin and β2M reabsorption through RME.
PTC StatusProteinFiltration
Rate
Excretion
Rate
Catabolic
Rate
Transcytosis Rate
NormalAlbumin60 g/d20 mg/d2.980 g/d57 g/d
β2M300 mg/d100 μg/d299.9 mg/d0
Cd-intoxicatedAlbumin60 g/d0.5 g/d2.950 g/d57 g/d
β2M300 mg/d1000 μg/d299 mg/d0
Assumptions: plasma albumin is 40 g/L; plasma β2M is 2.0 mg/L; GFR is 150 L/d; the glomerular sieving coefficient for albumin (GSCalb) is 0.01; and GSCβ2M is 1 [135].
Table 5. The potency of Cd to induce the HO-1 gene upregulation assessed by ARE reporter assay.
Table 5. The potency of Cd to induce the HO-1 gene upregulation assessed by ARE reporter assay.
MetalKidney
(HEK293T)
Liver
(HepG2)
Breast
(MCF7)
Brain
(A172)
Lung
(A549)
Cd0.9070.954116.0354.7
As1.8816.59.0515.9207
Hg2.8219.56.356.18NR
Pb#426##NR
Ag11.82.524.735.54NR
Au76.1169.740146NR
Zn84.8249256100NR
Cu281455295136392
Co484185532NRNR
Fe##NR239NR
#, an unreliable result; NR, no response. Numbers are µM concentrations of individual metals that induce an increase in the HO-1 gene expression via the ARE [189].
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