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Metallothionein 2A gene polymorphisms in relation to diseases and trace element levels in humans

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Pollution has been recognised as a major global health threat. Although exposure to various pollutants, including toxic metals or mixtures of environmental stressors is widespread, the development of diseases caused by direct environmental exposure is, luckily, limited. Whether the disease develops will depend on the causative agent, exposure levels and duration, the period of life when exposure occurs, age, and sex. Other factors that may contribute to the development and progression of a disease include other condition or disease, dietary habits, physical activity, medications taken, and variation in genetic susceptibility (1, 2, 3).

In the course of our continuing study of the exposure, health risks, and effects of the main toxic and essential elements lead (Pb), cadmium (Cd), mercury (Hg), arsenic (As), zinc (Zn), copper (Cu), iron (Fe), and selenium (Se), we recently came across increasing evidence of a link between the levels of these elements in the body of healthy and diseased persons and specific gene polymorphisms of metallothioneins (MTs). This motivated us to prepare an overview of the relationships between element levels and three most studied single nucleotide polymorphisms (SNPs) of the MT2A gene, namely rs28366003, rs1610216, and rs10636. For the purpose of this review, we searched PubMed database for articles indexed until the end of 2019 using this keyword combination: metallothionein AND polymorphism AND human. The query yielded 113 matches, and the first article on specific MT2A polymorphism was from 2005. We excluded 13 review articles, two letters to the editor, and 62 articles dealing with SNPs other than MT2A. This review has no intention whatsoever to present these gene polymorphisms as either the main or only contributing factors to element levels in the human body or to the development of chronic diseases, including malignancies, nor does it go into detail of the reported studies. Instead we compare their findings in a series of tables and comment on the relationships between rs28366003 and toxic metal levels in the human body only where we compare them with our own findings (4).

Biological significance of metallothioneins

Metallothioneins are a superfamily of cysteine-rich, intracellular, metal-binding proteins present in plants, vertebrates, invertebrates, eukaryotes, and prokaryotes. Historically, the discovery of MTs has closely been related to the study of Cd. The earliest work in this area was reported in 1941 by Maliuga, whereas the data on Cd-binding protein isolated from equine renal cortex, later named metallothionein, were first reported by Margoshes and Vallee in 1957 (reviewed in 5–9). Since then, MT has been of great interest in many scientific disciplines, including toxicology, biological and physical chemistry, molecular biology, and various clinical and cancer studies with about 10,000 published papers (7, 8, 9). The characteristics of MTs are low molecular mass of 6–7 kDa, high cysteine content (about 30 %), no aromatic amino acid, and high binding affinity for metals, particularly for Zn, Cu, and Cd. The amounts and ratios of metals bound by the thiol (–SH, mercaptide) group will depend on the tissue; human liver MTs mostly contain Zn and small amounts of Cu, while renal cortex MTs mostly contain Cd, then Zn, and then Cu (reviewed in 5, 8–12).

In mammals, including humans, there are four main groups of MTs with different sequences, expression, and characteristics: MT1, MT2, MT3, and MT4. Isoforms MT1 and MT2 are expressed in almost all tissues. MT3 is expressed mainly in the brain, and to a lesser extent in the heart, kidneys, and reproductive organs (reviewed in 8–10, 13–15). MT4 is expressed in the epithelial cells of the skin and mucosa (16). MT molecules are single-chain polypeptides, which contain 61 to 68 amino acids, and 20 of them are cysteine, ordered in the sequences Cys-Cys, Cys-x-Cys, and Cys-x-y-Cys (x and y are amino acid which are not cysteine) (8, 9, 10, 17). Cysteine sulphur atoms are responsible for binding divalent metals in two clusters of MTs, connected with a sequence which does not contain cysteine. Amino acids 1 to 30 form a stable α-cluster (C-terminal) with four metal binding sites, whereas amino acids 31 to 68 form a reactive β-cluster (N-terminal) with three binding sites for divalent metals ions. Therefore, each MT molecule can bind up to seven divalent ions of Zn, Cd, Hg, and Pb, 12 of Cu, and 18 of Ag. Four metal ions first fill the α-cluster, and remaining three ions enter the β-cluster. Metals bound to the β-cluster are released more easily than metals bound to the α-cluster (8, 10, 13, 15, 18). The order of metal-binding affinities was tested by in vitro studies on rat liver in the 1980s and the reports are not uniform: Cd >Pb >Cu >Hg >Zn > A g >Ni = Co ( 1 9 ) , Hg>Cu>Cd>Zn>Ni=Co (20), and Hg>Ag>>Cu>Cd> Zn (21). Many metals have the affinity for MT but only Cu+, Cd2+, Pb2+, Ag+, Hg2+, and Bi2+ can displace Zn2+ in MT, which was confirmed in the horse kidney in vitro (22) and in the rat liver in vivo studies (23). Exchanges between Zn and Cd happen rapidly in the β-cluster, contrary to their slow exchange in the α-cluster. Zinc readily dissociates from MT to make itself available for different biological functions and to stimulate further MT synthesis. Metallothioneins serve as metal ion donors to other ligands or proteins (reviewed in 13, 24, 25). Their degradation depends on metals bound, their distribution in MT molecules, and the medium. Acidic media are known to speed up metal dissociation from MTs. MTs completely saturated with metals are more resistant to degradation by lysosomal proteases than unsaturated MTs or apothioneins (apo-MTs, that is MTs free of metals). In neutral media, MTs saturated with metals are less resistant to degradation than apo-MTs (25, 26, 27, 28).

The synthesis of MTs is induced by numerous factors such as metals and metalloids, various chemical agents, including acetaminophen (paracetamol), cytokines, and many other stress-producing conditions, including oxidative stress, infection and inflammation. The peculiar chemical structure of MTs gives them their molecular stability and specificity and defines their role in various physiological and pathological conditions (8, 9, 10, 11, 29, 30, 31, 32, 33). Their main biological function is to maintain the homeostasis of essential metals Zn and Cu (reviewed in 12). Studies conducted in vitro showed reactivation of apo-enzymes in which Zn or Cu were cofactors (alkaline phosphatase, superoxide dismutase and others) after incubation with Zn-MT or Cu-MT. The mechanism of Zn donation from MT to apo-enzyme is still unknown, but it is assumed that MT binds to an MT-releasing factor, which displaces Zn and makes it available to enzymes (8, 14). It has been shown that MTs participate in Zn regulation by intestinal absorption and excretion. When Zn intake is high, MTs may have a crucial role in restricting its absorption by storing it in the enterocytes and enabling its transfer back to the gut lumen, as confirmed by studies on knockout and transgenic mice (34, 35, 36, 37, 38, 39). The induction of intestinal MT by Zn and its interaction with Cu is used in the therapy of patients with Wilson’s disease with Zn acetate, a US Food and Drug Administration-approved drug. Wilson’s disease is a rare autosomal recessive inherited disorder of Cu metabolism characterised by the accumulation of excessive amounts of Cu in the liver, brain, and eyes. The mechanism of Zn action as an anti-copper agent involves inhibition of both Cu absorption from the gastrointestinal tract and its transfer into the circulation by capturing the Cu-MT complex in the mucosal cell and its ultimate faecal excretion (40, 41).

Metallothioneins have multiple roles. Besides its main function to keep essential elements in balance, they protect the body against free radicals and toxic effects of metal ions (reviewed in 8–10, 13, 24, 42−46). High levels of MTs can be found in foetal and neonatal liver, but these drop to the levels found in adults during the postnatal period. Increased liver MT levels during prenatal period in all mammalian species are believed to protect against potentially toxic Zn and Cu ions before the intestinal control mechanisms develop (46, 47, 48, 49). Another important role of MTs is to protect against oxidative stress caused by various environmental stressors, including toxic metals. Experimental studies showed lower acute hepatotoxicity of Cd due to induced MT synthesis and high Cd binding to cytosolic MT, which reduces exposure of target organelles to Cd (reviewed in 32). Studies conducted on knock out mice showed that those without MT expression were more sensitive to Cd toxicity than control mice. The protective effects of MTs are generally clear against acute metal toxicity and carcinogenicity but not as much against chronic metal toxicity, to be addressed later in the text (8, 50, 51, 52). In general, large amounts of –SH groups in MT molecule enable reaction with numerous electrophilic chemicals, as they catch free radicals such as hydroxyl, superoxide or nitric oxide radicals produced during metabolism of xenobiotics (33, 53, 54, 55, 56, 57).

Other important roles of MTs involve cell survival, inhibition of apoptosis, angiogenesis and vascular remodelling, and immunomodulation. Studies on human umbilical vascular endothelial cells (HUVECs) have shown that a homedomain protein HMBOX1, which acts as a transcription factor and is abundantly expressed in the cytoplasm of the endothelial cells, maintains cell survival by promoting autophagy and inhibiting apoptosis by interaction with MT2, which increases intracellular free Zn (58). This role of MTs in vascular remodelling is important in the development of atherosclerosis and malignant tumours. Furthermore, MTs seem to inhibit pro-inflammatory cytokines, such as interleukins IL-6 and IL- 12 and tumour necrosis factor TNF-α, and can therefore supress inflammation (59). Investigations on MT-null mice showed higher susceptibility to the hepatotoxic effects of the anti-inflammatory drug paracetamol (acetaminophen), which points to the protective role of MTs against chemically induced hepatotoxicity (60, 61). The protective antioxidant role of MTs against radiation-mediated immunosuppression and cell damage was confirmed in experiments on MT-null mice (62, 63).

Regulation of metallothionein synthesis and MT2A polymorphisms

Synthesis of MTs in humans is encoded by a cluster of genes located in the q13 locus of chromosome 16 (16q13). Until now, 17 genes have been identified in this cluster, and at least 11 of them are functional; eight among MT1 isoforms (MT1A, MT1B, MT1E, MT1F, MT1G, MT1H, MT 1M/MT1K, and MT1X), and the other three have only one functional gene (MT2A, MT3, and MT4) (reviewed in 8–12, 15, 45, 64–67). The genes consist of two to three exons and one to two introns. Elements that control MT transcription can be divided in basal and inducible. The basal elements of gene sequence are the TATA-box, GC-box, and at least two basal level enhancer (BLE) sequences. The promoter region of the MT1 and MT2 genes involve inducible elements that consist of different types of responsive elements: metal response elements (MREs), glucocorticoid response elements (GREs), and antioxidant response elements (AREs). The most investigated mechanism of MT gene transcription by metal ions is via several MREs located in 5’ untranslated region (UTR) of the gene (67, 68, 69). Early studies showed that metal transcription factor 1 (MTF-1) binds to MREs in the promoter regions of MT genes via Zn finger transcription (Cys2-His2) factor controlling the expression of the MT1 and MT2 genes. Besides Zn, MTF-1 can be activated by reactive oxygen species, tyrosine-specific protein kinase, protein kinase C, and c-Jun N-terminal kinase (68, 69, 70, 71, 72).

Metal ions other than Zn can induce MT synthesis by mechanisms different than the one described above. Toxic metals cannot activate MTF-1 and, due to high binding affinity for MT, they replace Zn ions in MT molecules and thus increase intracellular Zn levels (reviewed in 13–15, 24). Free Zn then stimulates further synthesis of MT by binding to MTF- 1, which then binds to MRE and ultimately has impact on metal toxicity. In other words, under conditions of acute exposure to high doses of toxic metals such as Cd or Hg, higher MT expression may reduce their toxicity. However, in chronic exposure to either of the toxic metals (Cd or Hg), increased MT synthesis leads to prolonged retention of that metal in the body, which increases the risk of toxic effects. In addition, increased MT may capture essential elements in internal organs, primarily Zn in the liver, making them less available for their physiological roles such as transfer to the developing foetus through placenta during pregnancy (reviewed in 8, 73).

Metallothionein expression can be induced by oxidative stress when generated hydrogen peroxide (H2O2) radicals oxidise MT, and Zn is released, which then activates MTF-1 (64). Glucocorticoids also regulate MT transcription by binding to their response elements (GREs) in the promoter region of the MT genes (74). MT expression can be also induced also by tissue hypoxia (75), catecholamines (76), or hypothermia (77).

Single nucleotide polymorphisms (SNPs) are genetic variations characterised by the replacement of one nucleotide with another in a certain stretch of DNA, which occurs in at least 1 % of the population and differs between population groups. Given their location, SNPs can either be in the coding or non-coding gene region. Those in the coding region may affect amino acid arrangement or influence protein kinetics, mRNA structure, and stability, while SNPs in the promoter region or other regulatory gene regions affect protein production (reviewed in 67, 78). According to the National Center for Biotechnology Information (NCBI) database on polymorphism, dbSNP (79), 24 polymorphisms in the MT2A gene have been identified in humans, three of which may affect physiological and pathophysiological processes. The most studied SNP in MT2A was rs28366003 (−5A/G), followed by rs10636 (+838G/C), whereas rs1610216 (−209A/G) has been the least investigated. Only Starska et al. (80, 81) and Krześlak et al. (82) studied all three MT2A SNPs and their associations with several malignant tumours in a Polish population.

Below we describe these and other information about MT2A polymorphisms with the focus on reported relationships with trace elements. We set up three sets of interrelated tables, in which we present the following groups of data for each SNP: 1) literature data on the related genotype frequencies; 2) reported associations with human diseases; and 3) reported associations with element concentrations in humans. Of the 36 selected references, 21 deal with relationships with elements (in healthy and/ diseased persons), 13 with diseases only, and two with genotype frequencies only.

MT2A polymorphism rs28366003

The rs28366003 (MT2A −5A/G) SNP is an A/G substitution that occurs in the core promoter region of the MT2A gene between the TATA box and the site where the transcription begins. As it occurs near 5’UTR, it can affect MT transcription through reduced MTF-1 binding on MRE (reviewed in 11, 67). A study on human embryonic kidney cells 293 (HEK 293) showed that substitution of the A allele with the G allele near 5’UTR reduced Cd-induced transcription. Reduced MT transcription can therefore affect element concentrations in the body and adversely affect health (46, 83).

Studies of the rs28366003 SNP were mostly conducted in Turkish and Polish populations, but several were also done in Japan and the United States, China, Thailand, Spain, and Croatia. Table 1 shows the frequencies of AA, AG, and GG genotypes reported in these studies. According to the literature data, the frequency of the AA genotype ranges from 84.0 % to 95.5 % in healthy Polish (80, 81, 82, 84, 85, 86, 87, 88), 86.0 % to 90.4 % in Turkish (89, 90, 91, 92, 93, 94), and about 82 % in Japanese population (95, 96). The highest frequencies were found in a healthy Spanish population (97.9 %) (97), US black women (97.9 %) (98), Croatian women (93–94.0 %) (4, 99), and a healthy Chinese population (92.5 %) (100). The lowest frequency of 57.8 % and 53.4 % was found in healthy Iranian and Columbian populations, respectively (101, 102). The frequency of the AG ranged from 2.1 % in healthy Spanish population (97) and black US women (98) to 37.8 % and 43.6 % in Iranian and Columbian population, respectively (101, 102). We conducted the first study of that kind in Croatia and found that nearly 6 % of the healthy postpartum women were G allele carriers (4). Several authors reported higher percentages of G allele carriers in case study groups than controls (80, 84, 97, 100), and others reported no differences (88, 96). Higher frequency of AG genotype was reported among white (12.8 %) than black (2.1 %) women in the USA (98).

Genotype frequencies of the rs28366003 (MT2A −5A/G) single nucleotide polymorphism in humans

Authors and year of publication (reference No.) Genotype frequencies (%)
Ethnicity n Study participants AA AG GG
Stajnko et al., 2019 (99) Croatian 136 Pregnant women 93.0# 7.0$
Slovenian 176 Non-pregnant women 95.0# 5.0$

Shokrzadeh et al., 2019 (101) Iranian 95 Men and women with gastric cancer 46.4 41.0 12.6
90 Control healthy men and women 57.8 37.8 4.4

Sekovanić et al., 2018 (4) Croatian 268 Mother-newborn pairs 94.0 6.0 §

González-al., 2018 (Martínez 102) et Colombian 101 Men and women 53.4 43.6 3.0

Białkowska et al., 2018 Polish 197 Men with prostate cancer 90.9 9.1§
(88) 197 Control men without prostate cancer 89.3 10.7§

Yang et al., 2017 (105) Thai 677 Men and women 79.5 20.5 0.0

Liu et al., 2017 (100) Chinese 459 Women with breast cancer (various types) 82.3 15.3 2.4
549 Control healthy women 92.5 7.5 0.0

130 Men and women with AMD 88.5 11.5 0.0
García et al., 2017 (97) Spanish 96 Control healthy men and women 97.9 2.1 0.0

Raudenska et al., 2017 (103) 70 Men and women with type 2 diabetes mellitus 88.6 8.6 0.0
Czech 80 Control healthy men and women 86.3 13.7 0.0

Hattori et al., 2016 (95) Japanese 2774 Men and women 81.8 17.4 0.8

Adams et al., 2015 (104) US 170 Premenopausal women 88.0 12.0 0.0
151 Men and women 84.0 15.0 1.0

130 Men and women with SIP 75.4 23.8 0.8
Starska et al., 2015 (80) Polish 418 Control men and women without head or neck tumour 95.5 4.1 0.0

117 Men and women with SIP 76.1 23.1 0.8
Starska et al., 2015 (84) Polish 132 Control men and women with normal sinonasal mucosa 87.9 12.1 0.0

323 Men and women with SCC 89.2 9.9 0.9
Starska et al., 2014 (85) Polish 116 Control men and women with normal laryngeal mucosa 84.5 14.6 0.9

323 Men and women with laryngeal cancer 89.2 9.9 0.9
Starska et al., 2014 (81) Polish 418 Control healthy men and women 84.0 16.0 0.0

Krześlak et al., 2014 (82) 534 Women with ductal breast cancer 87.1 12.3 0.6
Polish 556 Control healthy women 92.8 7.2 0.0

Krześlak et al., 2013 (86) 412 Men with prostate cancer 76.0 21.1 2.9
Polish 67 Control men without prostate cancer 88.0 12.0 0.0

Wang et al., 2012 (106) US 239 Men and women 89.1 10.1 0.8

358 Men with prostate cancer 76.8 20.9 2.3
Forma et al., 2012 (87) Polish 406 Control men without prostate cancer 88.9 10.6 0.5

Tekin et al., 2012 (89) Turkish 95 Mother-newborn pairs 87.4 12.6 0.0

Tekin et al., 2012 (90) Turkish 91 Mother-newborn pairs 86.8 13.2 0.0

Kayaalti et al., 2011 (91) Turkish 616 Men and women 86.6 12.8 0.6

Kayaalti et al., 2011 (92) Turkish 354 Men and women 90.4 9.0 0.6

McElroy et al., 2010 (98) US 142 Black women 97.9 2.1 -
149 White women 87.3 12.8 -

Kayaalti et al., 2010 (93) Turkish 122 Men and women (kidney samples) 88.5 10.7 0.8
186 Men and women (blood samples) 86.0 13.4 0.6

Kayaalti et al., 2010 (94) Turkish 114 Men and women (kidney samples) 87.7 11.4 0.9

Hayashi et al., 2006 (96) 37 Patients with SALS 75.7 24.3 0.0
Japanese 206 Control healthy men and women 82.5 17.0 0.5

n– sample size; AA – typical homozygote; AG – heterozygote; GG – atypical homozygote; AMD – age-related macular degeneration; SIP – sinonasal inverted papilloma (Schneiderian papilloma); SCC – squamous cell laryngeal carcinoma; SALS – sporadic amyotrophic lateral sclerosis; #A allele frequency; $G allele frequency; §G allele carriers (AG plus GG genotype)

Table 2 summarises associations between the rs28366003 SNP and various clinical entities reported in literature. The associations were found for different types of cancers in the breast, prostate, paranasal sinus, larynx and stomach (31, 80, 81, 82, 84, 85, 86, 87, 100, 101) and chronic diseases, such as type 2 diabetes mellitus, chronic kidney disease (95), and neovascular and dry forms of age-related macular degeneration (97). Several studies reported no association between rs28366003 SNP and prostate cancer (88), type 2 diabetes mellitus (103), or sporadic amyotrophic lateral sclerosis (96).

Table 3 summarises association between rs28366003 SNP and element levels in various healthy population groups or subjects with defined disease. These findings are controversial, as a number of studies found correlations with element concentrations in the human organism (84, 85, 86, 89, 90, 91, 104) and others did not (95, 99, 102, 105, 106).

In our recent study in healthy Croatian postpartum women (4) we found no significant association between rs28366003 and either Cd or Pb concentrations in the placenta and maternal and cord blood, although stepwise multiple regression analysis showed marginal contribution of this SNP to higher placental Cd and Pb, maternal Pb, and cord blood Cd concentrations. We did find lower placental Fe in non-smoking G allele carriers (persons with AG and GG genotype) than non-smoking persons with the wild AA genotype, which surprised us at first, as Fe-MT binding has mostly been underestimated in literature (reviewed in 107). This result can be at least partly explained by the links between MT and Fe. Conditions of an acidic lysosomal-like environment created in vitro can stimulate MT release of Zn or Cu, which increases MT expression and facilitates Fe-MT binding (108). Through this mechanism, MT may protect from lysosomal destabilisation due to Fe overload-induced oxidative stress (reviewed in 109). In contrast to our study in Croatian population (n=268), studies in Turkish population (89, 90) reported higher Cd (n=95) and Pb (n=91) concentrations in maternal blood, higher Fe in the umbilical cord blood, lower Cd in the placenta, and no difference in placental Fe concentrations in non-smoking G allele carriers vs. persons with the wild AA genotype. However, those studies report an odd discrepancy between high blood and low placental Cd levels. Blood Cd was much higher than reported earlier in non-smoking Turkish population (110) and placental Cd was at the lower end of the scale of the overall placental Cd levels ever measured and reported in literature between 1976 and 2011 (111). These findings point to an unidentified source of Cd and/ or analytical error, which may have blurred the association between rs28366003 and metal concentrations. Since studies on the association between this SNP and toxic and essential elements in mother-newborn pairs are inconsistent, further research is needed with a large number of subjects (after either spontaneous delivery or Caesarean section) with defined sources of exposure to toxic metals, including cigarette smoking and dietary habits, as they all may overcome the influence on element levels of this or the other two discussed MT2A SNPs , which, as a rule, have low genotype frequency at the population level. Table 3 shows that population studies of the association between rs28366003 and element levels to date have included between 100 and 700 participants. The only exception is the Japanese study (95), which included >2700 participants. More such studies with large population samples are needed.

Association between the rs28366003 (MT2A -5A/G) single nucleotide polymorphism and human diseases

Authors and year of publication (reference No.) Ethnicity n Study participants Sample type Findings
Shokrzadeh et al., 2019 (101) Iranian 95 Men and women with gastric cancer Leukocytes SNP MT2A -5A/G increase the risk of gastric
90 Control healthy men and women adenocarcinoma

Bialkowska et al., 2018 (88) 197 Men with prostate cancer Whole blood No association was found between SNP MT2A -5A/
197 Control men without prostate cancer G and prostate cancer

Liu et al., 2017 (100) Chinese 459 Women with breast cancer Whole blood SNP MT2A -5A/G was associated with different
549 Control healthy women types of breast cancer

130 Men and women with AMD AG genotype subjects had 5.5-fold higher risk for
Garcia et al., 2017 (97) Spanish 96 Control healthy men and women Whole blood AMD; G allele was associated with dry form of AMD

Raudenska et al., 2017 (103) 70 Men and women with type 2 diabetes mellitus No association was found between SNP MT2A -5A/
80 Control healthy men and women G and type 2 diabetes mellitus

165 Men and women with DM
Hattori et al., 2016 (95) Japanese 417 Men and women with CKD Serum GG genotype associated with CKD and AG genotype with DM; no association of MT2A -5A/G and HT
2192 Healthy men and women

130 Men and women with SIP SNP MT2A -5A/G was related to SIP (Schneiderian
Starska et al., 2015 (80) 418 Control men and women without head or neck tumour papilloma); G allele increased 7.7-fold occurrence of SIP (Schneiderian papilloma); SNP MT2A -5A/G was associated with SIP phenotype
Polish 117 Men and women with SIP Tissue of nasal cavities or Heterozygotes vs. homozygotes had increased risk
Starska et al., 2015 (84) 132 Control men and women with normal sinonasal mucosa paranasal sinuses of SIP
323 Men and women with laryngeal cancer AG genotype subjects had 1.6-fold higher risk for
Starska et al., 2014 (81) 418 Control healthy men and women laryngeal cancer development; Association between SNP MT2A -5A/G and tumour aggressiveness

Kizeslak et al., 2014 (82) 534 Women with ductal breast cancer SNP MT2A -5A/G was associated with ductal breast
Polish 556 Control healthy women Whole blood cancer

Kiześlak et al., 2013 (86) Polish 412 Men with prostate cancer AG genotype had higher risk for occurrence of
67 Control men without prostate cancer prostate cancer

Forma et al., 2012 (87) Polish 358 Men with prostate cancer Prostate tissue SNP MT2A -5A/G was associated with prostate
406 Control men without prostate cancer cancer and Gleason score

Kayaalty et al., 2011 (92) Turkish 354 Healthy men and women Whole blood SNPMT24 -5A/G was associated with longevity

Hayashi et al., 2006 (96) Japanese 37 Patients with SALS Whole blood No association between SNP MT2A -5A/G and
206 Control healthy men and women SALS and progression rate

n - sample size; AG - heterozygote; GG - homozygote-atypical; MT2A - metallothionein 2A; AMD - age-related macular degeneration; CKD - chronic kidney disease; DM - diabetes mellitus; HT - hypertension; SIP - sinonasal inverted papilloma (Schneiderian papilloma); SALS - sporadic amyotrophic lateral sclerosis

Association between the rs28366003 (MT2A -5A/G) single nucleotide polymorphism and element concentrations in humans

Authors and year of publication (reference No.) MT2A genotype
Ethnicity n Study participants Sample type AA AG GG Findings
As concentrations (μg/g creatine)
Stajnko et al., 2019 (99) Croatian 136 Pregnant women Urine 3.07* 4.58* No differences between genotypes

Gonzalez-et al., 2018 Martinez, (102) Colombian 101 Men and women Urine (Not available) No and association SNP MT2between A -5A/G As

Cd concentrations (μg/L* or μg/kg)

Maternal blood 0.87±0.99* 0.73±0.60*
Sekovanić et al., Croatian 268 Mother-newborn pairs Cord blood 0.06±0.03* 0.05±0.03* No difference in either
2018(4) Placenta 10.1±5.1 8.80±3.70§ sample between genotypes

Hattori et al., 2016 (95) Japanese 2774 Men and women Serum (Graphical illustration: Cd = 0.001*) No differences between genotypes

Adams et al, 2015 (104) US 321 Men and women Urine (Graphical illustration) ↓Cd in urine of G allele carriers

Starska et al., 2015 (84) Polish 117 Men and women with SIP 116±79 376±126 393 AG vs. AA genotype ↑Cd in SIP samples; no association between Cd and SNP MI2A -5A/G in control samples
132 Control men and women with normal sinonasal mucosa Tissue of nasal or paranasal sinuses (dry) 62.2±41.2 96.2±57.1 -

323 Men and women with SCC 198±87 369±128 509±57 AG vs. AA genotype ↑Cd in
Starska et al., 2014 (85) Polish 116 Control men and women with normal laryngeal mucosa Tissue of laryngeal mucosa (dry) 87.2±32.2 113±26 117 both sample types; GG vs. AA and AG vs. GG genotype ↑Cd in SCC samples

Krzeslak et al., 2013 (86) Polish 412 Men with prostate cancer Prostate tissue (dry) 720±330 970±460 1090±220 AG vs. AA genotype ↑Cd in both sample types; GG vs. AA genotype ↑Cd in prostate cancer samples

Tekin et al, 2012 Maternal blood 1.60±0.94* 2.54±2.72* AG vs. AA genotype |Cd in
Turkish 95 Mother-newborn pairs Cord blood 0.95±0.32* 0.98±0.28* maternal blood and ↓Cd in
Placenta 20.8±19.7 8.65±6.70 placenta

Kayaalti et al, 2011 (91) Turkish 616 Men and women Whole blood 1.60±1.44* 2.09±1.85* 5.98±4.38* G allele carriers ↑Cd

Kayaalti et al, 2010 (94) Turkish 114 Men and women Kidney samples (dry) 87.7±62.9† 151±60† 153f ↑Cd in G allele carriers

Pb concentrations (μg/L*or μg/kg)

Maternal blood 13.7±6.6* 12.0±3.6*
Sekovanić et al., 2018(4) Croatian 268 Mother-newborn pairs Cord blood 8.3±5.5* 7.1±4.0*-s No difference in either sample between genotypes
Placenta 6.9±4.9 5.5±2.8§

Yang et al, 2017 (105) Thai 677 Men and women Whole blood 122±122* 105±113* - No differences between genotype

Maternal blood 3.53±1.43* 5.13±2.79* -
Tekin et al, 2012 (901 Turkish 91 Mother-newborn pairs Cord blood 2.42±1.00* 2.94±1.49* - AG vs. AA genotype ↑ Pb in maternal blood
Placenta 7.79±2.55 9.75±4.14 -

Krzeslaketal, 2013 (86) 412 Men with prostate cancer 3.11±1.27† 4.66±1.82† 5.11±2.52† GG vs. AA genotype ↑Pb in
Polish 67 Control men without prostate cancer Prostate tissue (dry) 1.67±0.61f 1.72±0.67f - prostate cancer

Kayaalti et al, 2011 (91) Turkish 616 Men and women Plasma 30.1±13.9* 32.9±14.9* 50.4±11.5* G allele carriers ↑Pb

Hg concentrations (μg/L*or μg/kg)

Maternal blood 13.7±6.6* 12.0±3.6*s
Sekovanić et al., 2018(4) Croatian 268 Mother-newborn pairs Cord blood 8.3±5.5* 7.1±4.0* No difference in either sample between genotypes
Placenta 6.9±4.9 5.5±2.8§

Wang et al., 2012 TTC 239 Men and women Urine 1.03* 0.76* 0.34* No difference between
(106) 247 Men and women Hair 440 390 430 genotypes

Fe concentrations (mg/L*or mg kg-1)

Maternal blood 422±61* 418±56*
Sekovanić et al., 2018(4) Croatian 268 Mother-newborn pairs Cord blood 552±61* 539±57*,§ G allele carriers (AG+GG) vs. AA genotype ↓Fe in placenta
Placenta 83±22 74±18§

Maternal blood 343±89* 373±103* -
Tekin et al, 2012 Turkish 95 Mother-newborn pairs Cord blood 271±130* 456±214* - AG vs. AA genotype ↑Fe in cord blood
Placenta 527±194 624±162 -

Zn concentrations (mg/L*or mg kg-1)

Maternal blood 5.58±0.92* 5.51±0.82*
Sekovanić et al., 2018(4) Croatian 268 Mother-newborn pairs Cord blood 2.78±0.46* 2.58±0.53* No difference in either sample between genotypes
Placenta 13.7±3.0 13.4±1.8§

70 Men and women with diabetics (Graphical illustration: Zn= 3* in AG vs. ~ 7.5* in AA) AG vs. AA genotype ↓Zn in blood in diabetics
Raudenskaet al., 2017(103) Czech 80 Control healthy men and women Whole blood (Graphical illustration: Zn= 5* in AG vs. ~ 6* in AA) no association between Zn and SNP MT2A -5A/G in the control samples

Hattori et al., 2016 (95) Japanese 2774 Men and women Serum (Graphical illustration: Zn = 0.850*) No differences between genotypes

Adams et al, 2015 (104) US 321 Men and women Urine (Graphical illustration) ↓Zn in urine of G allele carriers

117 Men and women with SIP Tissue of nasal cavities or paranasal sinuses (dry) 52.2±41.2 127±76 136 AG vs. AA genotype ↑Zn in SIP tissue samples;
Starska et al., 2015 (84) Polish 132 Control men and women with normal sinonasal mucosa 199±44 204±52 - No association between Zn and SNPMT24 -5A/G in control samples

323 Men and women with SCC 86.4±38.1 184±57 194±74 AG vs. AA genotype ↑Zn in
Starska et al., 2014 (85) Polish 116 Control men and women with normal laryngeal mucosa Tissue of laryngeal mucosa 97.6±30.0 133±27 129 both sample types; GG vs. AA genotype ↑Zn in SCC samples

Krzeslak et al., 2013 (86) 412 Men with prostate cancer 135±48 239±80 243.7±64.4 AG vs. AA genotype ↑Zn in both sample types; GG vs.
Polish 67 Control men without prostate cancer Prostate tissue (dry) 485±119 927±317 AA genotype |Zn in cancer samples

Maternal blood 4.33±1.13* 4.82±1.44* -
Tekin et al, 2012 (89) Turkish 95 Mother- newborn pairs Cord blood 1.32±0.55* 1.48±0.53* - No difference between genotypes
Placenta 50.5±10.1 46.1±7 -

Kayaaltietal,2011(91) Turkish 616 Men and women Plasma 1.01±0.48* 0.84±0.50* 0.39±0.33* G allele carriers ↓Zn

Kayaalti et al., 2010 (94) Turkish 114 Men and women Kidney tissue (dry) 180.2±84.6 192±115 142 No difference between genotypes

Cu concentrations (mg/L*or mg kg-1)

Maternal blood 1.52±0.30* 1.53±0.09*§
Sekovanić et al., 2018(4) Croatian 268 Mother-newborn pairs Cord blood 0.59±0.09* 0.58± 0.12* No difference in either sample between genotypes
Placenta 0.78±0.18 0.74± 0.08§

Adams et al, 2015 (104) US 321 Men and women Urine ( Graphical illustration) ↓Cu in urine of G allele carriers

117 Men and women with SIP Tissue of nasal cavities or paranasal sinuses (dry) 24.2±13.6 27.1±11.6 26.2 No differences between
Starska et al., 2015 (84) Polish 132 Control men and women with normal sinonasal mucosa 11.0±2.98 17.2±5.2 - genotypes in SIP tissue samples; AG vs. AA genotype ↑Cu in control samples

323 Men and women with SCC 14.4±7.83 26.6±12.5 29.7±0.72 AG vs. AA genotype |Cu in
Starska et al., 2014 (85) Polish 116 Control men and women with normal laryngeal mucosa Tissue of laryngeal mucosa 9.85±4.10 12.7±3.56 11.5 both sample types; GG vs. AA genotype |Cu in SCC samples

412 Men with prostate cancer 10.3±4.2 21.1±9.6 25.6±5.8 AG vs. AA genotype
Krzeslak et al., 2013 (86) Polish 67 Control men without prostate cancer Prostate tissue (dry) 2.9±1.3 7.6±2.9 - ↑Cu in both sample types; GG vs. AA genotype ↑ Cu in cancer samples

Maternal blood 1.67±0.34* 1.84±0.50* -
Tekin (89) et al, 2012 Turkish 95 Mother-newborn pairs Cord blood 0.69±0.25* 0.69±0.28* - No difference genotypes between
Placenta 5.90±2.59 6.63±1.73 -

Kayaalti et al., 2011 (91) Turkish 616 Men and women Plasma 1.04±0.44* 1.02±0.52* 0.91±0.37* No difference genotypes between

Kayaalti et al., 2010(94) Turkish 114 Men and women Kidney tissue (dry) 17.2±16.9 15.3±10.6 31.9 No difference genotypes between

n- sample size; MT2A - metallothionein 2A; AA - typical homozygote; AG - heterozygote; GG - atypical homozygote; SIP - sinonasal inverted papilloma (Schneiderian papilloma); SCC - squamous cell laryngeal carcinoma; §G allele carriers (AG plus GG genotype); † |xgg-1; ↑ - increased concentration; ↓ - decreased concentration

MT2A rs1610216 polymorphism

The rs1610216 (MT2A −209A/G) SNP also occurs in the promoter region. Unlike rs28366003, however it has received considerably less attention and most of the studies were done in Polish population. Table 4 summarises its genotype frequencies. The frequencies of the AA, AG, and GG genotype in healthy Polish population ranged from 72.0 % to 73.9 %, 25.3 % to 27.8, and 0.2 % to 0.8 %, respectively (80, 81, 82, 87). Similar AA genotype frequencies were reported for healthy Italian population, while their GG genotype frequencies were somewhat higher, from 3.0 % to 3.7 % (112, 113). The highest AA genotype frequency of 90.5 % was reported in healthy Bulgarian population (114). The same study also reported higher percentage of the AG genotype in patients with type 2 diabetes mellitus and coronary artery disease than in healthy persons.

Genotype frequencies of the rs1610216 (MT2A −209A/G) single nucleotide polymorphism in humans

Authors and year of publication (reference No.) Genotype frequencies (%)
Ethnicity n Study population AA AG GG
Starska et al., 2015 130 Men and women with SIP 73.8 25.4 0.8
(80) Polish 418 Control men and women without head and neck tumours 73.9 25.3 0.8

Starska et al., 2014 Polish 323 Men and women with laryngeal cancer 73.4 26.0 0.6
(81) 418 Control healthy men and women 73.9 25.3 0.8

Krześlak et al., Polish 534 Women with breast cancer 76.4 23.4 0.2
2014 (82) 556 Control healthy women 72.3 27.5 0.2

Forma et al., 2012 Polish 358 Men with prostate cancer 71.8 27.6 0.6
(87) 406 Control men without prostate cancer 72.0 27.8 0.2

142 Patients with CAD 89.2 9.4 1.4
Kozarova 2012 (114et ) al., Bulgarian 101 Patients with DM 69.7 28.3 2.0

61 Control healthy volunteers 90.5 0.0 9.5
100 CS patients 75.0 24.0 1.0

Giacconi et al., 2007 (113) Italian 188 CS patients without cerebrovascular episodes 73.0 25.0 2.0
218 Control elderly volunteers 71.0 26.0 3.0

Giacconi et al., Italian 91 Men and women with carotid stenosis 86.0 14.0 0.0
2005 (112) 188 Control elderly men and women 70.2 26.1 3.7

n – sample size; AA – typical homozygote; AG – heterozygote; GG – atypical homozygote; SIP – sinonasal inverted papilloma (Schneiderian papilloma); CAD – coronary artery disease; DM – diabetes mellitus; CS – carotid artery stenosis

Association between the rs1610216 SNP (MT2A -209A/G) single nucleotide polymorphism and human diseases

Authors and year of publication (reference No.) Ethnicity n Study participants Sample type Findings
130 Men and women with SIP Tissue of nasal cavities or No association between SNP MT2A
Starska et al., 2015 (80) Polish 418 Control men and women without head and neck tumours paranasal sinuses -209A/G and SIP

323 Men and women with laryngeal cancer Tissue of squamous cell No association between SNPMT24
Starska et al., 2014(81) 418 Control volunteers (men and women) laryngeal cancer -209A/G and development of laryngeal cancer

Krzeslak et al., 2014(82) Polish 534 Women with breast cancer Whole blood No associations between SNP MT2A
556 Control healthy women -209A/G and breast cancer

Forma et al, 2012 (87) Polish 358 Men with prostate cancer Whole blood No association between SNPMT24
406 Control men without prostate cancer -209 A/G and prostate cancer

142 Patients with CAD Positive association between G allele carriers
Kozarova et al., 2012 Bulgarian 101 Patients with DM Leukocytes and DM;
(114) 61 Control healthy volunteers No association between SNF MT2A -209 A/G and CAD

100 CS patients
Giacconi et al., 2007 (113) Italian 188 CS patients without cerebrovascular episodes Blood No association between SNPMT24 -209 A/G and CS or cerebrovascular episodes
218 Control elderly volunteers

Giacconi et al., 2005 (112) Italian 91 Men and women with carotid stenosis Whole blood No association between SNF MT2A -209A/G and hypertension; higher risk of
188 Control elderly men and women ischaemic cardiomyopathy and hyperglycaemia in AA genotype subjects

n - sample size; AA - typical homozygote; AG - heterozygote; GG - atypical homozygote; MT2A - metallothionein 2A; DM - diabetes mellitus; CAD - coronary artery disease; SIP - sinonasal inverted papilloma (Schneiderian papilloma); CS - carotid artery stenosis

Table 5 shows the association between MT2A rs 1610216 and human diseases. Studies conducted in Polish population found no association between rs1610216 and either Schneiderian papilloma or laryngeal cancer (80, 81). No associations were also reported for this SNP and breast or prostate cancers (82, 87), carotid artery stenosis and hypertension (112, 113), or coronary artery disease (114). Positive association was reported with type 2 diabetes mellitus (114) and subjects with the AA genotype ran a higher risk of ischaemic cardiomyopathy and hyperglycaemia (112). There are no data on association between the rs1610216 SNP and element concentrations in human organism, except the one study (112) dealing with an association between this SNP and Zn in plasma (Table 6).

MT2A rs10636 polymorphism

The rs10636 (MT2A +838G/C) SNP occurs in the 3’UTR. Genotype frequencies of this SNP are presented in Table 7. The frequencies of the GG genotype range from 42.9 % in Chinese (115) to 67.7 % in healthy Spanish population (97). Healthy Chinese population had the highest percentage of the CC genotype (9.7 %) (115), whereas the US and Polish populations had the lowest frequency (about 4.0 %) (82, 104). The only study that reported genotype frequencies of the rs 10636 SNP in children was in boys and girls with the mean age of 10 years in Portugal, a country known for increased Hg intake through seafood/fish consumption and the risk of related neurotoxic effects in both sexes at young age (116).

Association between the rs1610216 (MT2A -209A/G) single nucleotide polymorphism and element concentrations in humans

Authors and year of publication (reference No.) MT2A genotype
Ethnicity n Study participants Sample type AA AG GG Findings

Zn concentrations (mg/L)
Giacconi et al., 2005 (112) Italian 91 Patients: elderly men and women with type 2 diabetes and carotid stenosis Plasma 0.77±0.15 0.88±0.18 ↓Zn in AA vs. AG+GG in patients; in AA genotype subjects ↓Zn in patients 188 Control: healthy elderly men and vs. control
188 Control: healthy elderly men and vs. control women 0.87±0.25 0.88±0.15

n– sample size; MT2A – metallothionein 2A;AA – typical homozygote; AG – heterozygote; GG – atypical homozygote; G allele carriers (AG plus GG genotype); ↓ – decreased concentration

Genotype frequencies of the rs10636 (MT2A +838G/C) single nucleotide polymorphism in humans

Authors and year of publication (reference No.) Ethnicity n Study participants Genotype frequencies (%)
GG GC CC
Yang et al., 2017 (105) Thai 677 Men and women 52.4 41.6 6.0

Liu et al., 2017 (100) Chinese 459 Women with breast cancer 52.5 37.5 11.8
549 Control healthy women 52.8 40.8 6.4

García et al., 2017 Spanish 130 Men and women with AMD 56.9 36.9 6.2
(97) 96 Control healthy men and women 67.7 27.1 5.2

Fernandes (119) et al., 2016 Brazilian 221 Workers in car battery factories 62.0 32.0 6.0

Adams et al., 2015 US 170 Premenopausal women 54.0 42.0 4.0
(104) 151 Men and women 62.0 34.0 4.0

130 Men and women with SIP 44.6 43.1 12.3
Starska et al., 2015 (80) Polish 418 Control men and women without head and neck tumours 50.9 41.2 7.9

Starska et al., 2014 Polish 323 Men and women with laryngeal cancer 45.8 46.1 8.1
(81) 418 Control volunteers (men and women) 50.9 41.2 7.9

Yang et al., 2014 Chinese 287 Men and women with CHD 46.0 45.3 8.7
(117) 226 Control healthy men and women 57.1 36.7 6.2

Krześlak et al., 2014 534 Women with breast cancer 57.1 38.4 4.5
(82) Polish 556 Control healthy women 50.3 45.5 4.2

Woods et al., 2013 163 Boys average age 10 years 61.3 30.7 8.0
(116) Portuguese 167 Girls average age 10 years 59.9 33.5 6.6

Chen et al., 2012 (118) Chinese 465 Men and women 52.3 39.5 8.2

Wang et al., 2012 (106) US 464 Men and women 54.1 36.8 9.1

Forma et al., 2012 Polish 358 Men with prostate cancer 48.9 43.3 7.8
(87) 406 Control men without prostate cancer 52.0 40.0 8.0

Gundacker 2009 (120) et al., Austrian 180 Men and women 58.4 33.3 8.3

Yang et al., 2008 Chinese 182 Men and women with DM 46.7 42.9 10.4
(115) 196 Control volunteers (men and women) 42.9 47.4 9.70

100 CS patients 73.0 22.0 5.0
Giacconi et al., 2007 (113) Italian 188 CS patients without cerebrovascular episodes 66.0 30.0 4.0
218 Control elderly volunteers 56.0 37.0 7.0

n– sample size; MT2A – metallothionein 2A; GG – typical homozygote; GC – heterozygote; CC – atypical homozygote; AMD – age-related macular degeneration; SIP – sinonasal inverted papilloma (Schneiderian papilloma); CHD – coronary heart disease; DM – diabetes mellitus; CS – carotid artery stenosis

Association between the rs10636 (MT2A +838G/C) single nucleotide polymorphism and human diseases

Authors and year of publication (reference No.) Ethnicity n Study participants Sample type Findings
Liu et al., 2017 (100) Chinese 459 Women with breast cancer Whole blood SNPMT2A +838 G/C was associated with breast cancer

549 Control healthy women

Garcia et al., 2017 (97) Spanish 130 Men and women with AMD Whole blood No association between SNPMT2A +838 G/C and AMD

96 Control healthy men and women

Starska et al., 2015 (80) Polish 130 Men and women with SIP Tissue of nasal cavities or paranasal sinuses No association between SNP MT2A +838G/C and SIP

418 Control men and women without head and neck tumours

Starska et al., 2014 (81) Polish 323 Men and women with laryngeal cancer Tissue of squamous cell No association between SNP MT2A +838G/C

418 Control heathy men and women laryngeal cancer and development of laryngeal cancer

Yang et al., 2014 (117) Chinese 287 Men and women with CHD Blood leukocytes SNPMT2A +838G/C was associated with CHD

226 Control healthy men and women

Krzeslak et al., 2014 (82) Polish 534 Women with breast cancer Whole blood No associations between SNPMT24 +838G/C and breast cancer

556 Control healthy women

Yang et al., 2008 (115) Chinese 397 Men and women with DM Whole blood SNPMT24 +838G/C was associated with higher risk for hyperlipidemia and incidence of DM with neuropathy

454 Control men and women

Giacconi et al., 2007 (113) Italian 100 CS patients Blood SNPMT24 +838G/C promote the progression of carotid artery disease to CS

188 CS patients without cerebrovascular episodes

218 Control elderly volunteers

n - sample size; MT2A - metallothionein 2A; AMD - age-related macular degeneration; SIP - sinonasal inverted papilloma (Schneiderian papilloma); CHD - coronary heart disease; DM - diabetesmellitus; CS - carotid artery stenosis

Association between the rs10636 (MT2A +838G/O sinslenucleotide nolvmornhism and element concentrations in humans

Authors and year of publication (reference No.) Ethnicity n Study participants Sample type MT2A genotype
Findings
GG GC CC

Cd concentrations (μg/L)
Adams et al., 2015 (104) US 321 Men and women Urine (Graphical illustration) ↓Cd in urine of C allele carriers

Chen et al, 2012 (118) Chinese 311 Women exposed to Cd Blood/ Urine (Graphical illustration) Trends of ↓Cd in blood of C allele carriers in highly polluted area; no difference of Cd in urine
Pb concentrations (μg/L)
Yang et al., 2017 (105) Thai 677 Men and women Whole blood 116±119 121±121 124±141 No difference between genotypes

Fernandes et al, 2016(119) Brazilian 221 Workers in car battery factories Whole blood (Graphical illustration) C allele carriers ↓Pb in blood

Gundacker et al., 2009 (120) Austrian 122 Men and women Whole blood 20.2 21.3 16.9 CC genotype had ↓ Pb in blood
Hg concentrations (μg/Lor μg/kg*)
Woods et al, 2013(116) Portuguese 96 Boys of avg. age 10 years Urine 2.17±2.15 2.16±2.16§ No difference between genotypes

Wang et al., 2012 (106) US 464 Men and women Urine 1.04 1.04 1.22 No difference between genotypes

473 Men and women Hair 500* 430* 570*
Fe concentrations (mg/L)
Giacconi et al., 2007(113) Italian 288 CS patients Plasma 1.11±0.47 0.99±0.32§ C allele carriers had ↓Fe in plasma

Erythrocytes 505±270 506±102§
Zn concentrations (mg/L)
Adams et al, 2015 (104) US 321 Men and women Urine (Graphical illustration) ↓Zn in urine of C allele carriers

Giacconi et al, 2007 (113) Italian 288 Patients with CS Plasma 0.71±0.17 0.74±0.15§ C allele carriers ↑Zn in erythrocytes
Erythrocytes 7.4±2.6 8.5±2.0§
Cu concentrations (mg/L)
Adams et al, 2015 (104) US 321 Men and women Urine (Graphical illustration) ↓Cu in urine of C allele carriers

Giacconi et al, 2007 (113) Italian 288 Patients with CS Plasma 1.07±0.29 l.ll±0.24§ C allele carriers ↑Cu in erythrocytes
Erythrocytes 0.52±0.11 0.56±0.13§

n - sample size; MT2A - metallothionein 2A; GG - typical homozygote; GC - heterozygote; CC - atypical homozygote; CS - carotid artery stenosis;§ C allele carriers (GC plus CC genotype); ↑ - increased concentration; { - decreased concentration

Table 8 summarises the findings on associations between rs 10636 and diseases. This polymorphism may be associated with higher incidence of neuropathy and hyperlipidaemia in patients with type 2 diabetes mellitus (115), coronary heart disease (117), and breast cancer (100). Krześlak et al. (82) found no association with ductal breast cancer. No association was also reported between rs10636 and macular degeneration related to age (97), Schneiderian papilloma, or laryngeal cancer (80, 81). Giacconi et al. (113) reported that in the C allele carriers carotid artery disease was more likely to progress to carotid artery stenosis.

The associations between this polymorphism and element concentrations in human organism are presented in Table 9. A weak association was reported for blood Cd in healthy women exposed to Cd (118). Although Hg was not associated with the CC genotype, a multivariate analysis indicated lower Hg in urine in subjects with the CC genotype than those with the GG genotype (106). C allele carriers were found to have lower concentrations of Cd, Cu and Zn in urine (104), Pb in blood (119, 120), and Fe in plasma (113) and higher Zn and Cu in red blood cells (113).

Concluding remarks

There is strong evidence that MTs participate in physiological and pathological processes in the human body which involve the homeostasis of intracellular essential element, primarily Zn and Cu. They may chelate divalent toxic metals, such as Cd, Pb, Hg, or Pt with the –SH groups in cysteine and thus detoxify cells, scavenge free radicals, and protect cells against oxidative stress. They also have a role in cell survival and proliferation, angiogenesis, and inhibition of apoptosis. Emerging evidence confirms that MT insufficiency may lead to pathogenic processes and carcinogenesis. Single gene polymorphisms of MTs may be responsible for individual differences in reactions to harmful effects of external chemical and physical stressors and reactive oxygen species in the body.

Identification of individual MT isoforms in human cells and tissues can be applied in prospective tissue, plasma, and urine analyses or retrospectively, using fixed paraffin-embedded tissue samples. In the future, MTs may serve as biomarkers of environmental exposure to toxic metals, such as Cd, as already reported in biomonitoring studies on occupational exposure in humans (121, 122, 123) or environmental exposure in animals (124, 125, 126). MTs are also intensively studied as potential clinical biomarkers to be used in the diagnosis, prognosis, and selection of efficient therapy/ies for a number of malignant tumours, such as breast, thyroid, head, neck, lung, gallbladder, pancreas, colon, kidney, ovary, prostate, bone, and skin cancers, childhood solid tumours, and various types of leukaemia (29, 30, 31, 32, 82, 86, 87, 94, 127, 128, 129, 130, 131, 132). Exogenous MTs are already being investigated for the treatment of pathological processes in the central nervous system (59).

To date, the rs28366003, rs10636, and rs1610216 SNPs in the MT2A gene have been associated with various physiological and pathological conditions. These involve ageing and chronic diseases, such as metabolic syndrome (including type 2 diabetes mellitus and obesity), cardiovascular diseases, osteoporosis, and psychiatric disorders. They also seem to interfere with the effects of toxic drugs and pollutants. However, their use as risk predictors remains controversial. Identifying a single specific allelic variant associated with an individual trait, health or disease by gene-specific, candidate-driven studies (133) may fail to provide full information and risk assessment of certain diseases, which, as a rule, have polygenic origins (134, 135) and therefore need genome-wide association studies (136, 137). More comprehensive studies are needed to determine the role and potential for the clinical use of specific MT2A gene polymorphisms. These should recruit a large number of participants (several hundreds and more) with well-defined pathological process and take into account other factors and risks, such as specific environmental exposure and personal habits, genetic characteristics, and epigenetic makeup.

Polimorfizmi gena metalotioneina 2A u ljudi i njihova povezanost s bolestima i razinama elemenata u tragu

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