Concentrations of trace metals in serum: Implications for type 2 diabetes mellitus and gender difference

Article information

Environ Anal Health Toxicol. 2025;40.e2025001
Publication date (electronic) : 2025 January 21
doi : https://doi.org/10.5620/eaht.2025001
1Department of Internal Medicine, Eulji University School of Medicine, Daejeon, Korea
2Department of Biomedical Laboratory Science, Graduate School, Eulji University, Seongnam, Korea
3Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea
4Department of Laboratory Medicine, Eulji University School of Medicine, Daejeon, Korea
*Correspondence: junjh55@eulji.ac.kr
Received 2024 July 8; Accepted 2024 December 27.

Abstract

Trace metals play a pivotal role in maintaining normal and healthy physiology due to their various metabolic functions in humans. This study was performed to identify the association between trace metals and type 2 diabetes mellitus (T2DM) through a comparative analysis of serum samples from both healthy controls and T2DM patients. Additionally, we aim to explore the potential connection between gender differences and the concentration of trace metals in T2DM patients. The study included 103 participants, comprising 53 healthy controls and 50 T2DM patients, with blood samples stored at Eulji University Hospital (Daejeon, Korea). Serum concentrations of copper (Cu), zinc (Zn), manganese (Mn), and selenium (Se) and chromium (Cr) levels were measured and statistically analyzed by t-tests and logistic regression after the outliers replaced by mean. In the overall participants, serum concentrations of Cu and Mn in T2DM group was significantly different compared to the control group (P < 0.01). Logistic regression analysis indicated that Cu, Se and Mn concentration was significantly different in T2DM patients than in healthy controls in adjusted for age and sex. When examining trace metal concentrations by gender difference, Se were significantly lower in T2DM men (P < 0.01), while T2DM women exhibited significantly higher levels of Zn, Se and Mn (P < 0.05). Especially in women, logistic regression analysis indicated that Cu, Se and Mn concentration was significantly different in T2DM patients than in healthy control (adjusted for age OR of Cu, 0.92; 95 % CI 0.87 - 0.98, adjusted OR of Se, 3.04; 95 % CI, 1.71 - 5.34; adjusted OR of Mn, 4.50; 95 % CI, 2.09 - 9.68). This study showed that trace metal imbalances related to Se and Mn in patients with T2DM were particularly relevant in women. It highlights the significance of gender difference and suggests the potential benefits of regular monitoring of trace metal concentrations in the management of T2DM patients.

Introduction

Human exposure to heavy and trace metals primarily occurs through air, water, and food sources. Uncontrolled pollution and industrialization can be a potential source of exposure to toxic heavy metals such as lead (Pb), nickel (Ni), cadmium (Cd), mercury (Hg), and arsenic (As) in humans [1]. These metals are commonly found in soluble salt forms, which can influence the composition of body fluids [1]. Inorganic elements, such as magnesium (Mg), zinc (Zn), chromium (Cr), iron (Fe), manganese (Mn), and copper (Cu), are naturally present in trace amounts in living tissues and play vital roles in various physiological processes essential for overall health [2]. However, non-physiological concentration of many trace and heavy metals can have alteration effects on enzymatic activities and elicit various detrimental health effects [3-5].

Trace metals are involved in critical physiological processes, acting as prosthetic groups of many proteins, cofactors for numerous enzymes, and regulators of water balance [5]. Even slight alterations in trace metal concentrations can lead to various health complications, some of which can be life-threatening [6]. They exert their effects by serving as activators or inhibitors of enzymatic reactions, competing with other metals and proteins for binding sites, or influencing cell membrane permeability and other mechanisms [7]. Thus, maintaining normal and physiological concentrations of trace metals in various body tissues is crucial for proper metabolic function [8].

Environmental exposure to heavy metals, including Pb, Hg, and Cd, commonly used in industrial processes, has been linked to an increased incidence of ischemic vascular and cardiovascular disease and diabetes [9-11]. Furthermore, overexposure to heavy metals can lead to many adverse health effects [6]. Disorders in heavy metal metabolism often result from impaired absorption and digestion, stemming from factors such as improper diet, environmental and occupational exposure, and cirrhosis [12].

Among these disorders, diabetes, a non-communicable disease, has been rapidly increasing worldwide [13]. Especially, type 2 diabetes mellitus (T2DM) poses a significant public health and socioeconomic challenge globally [13]. Aside from the health issues directly associated with T2DM, severe complications such as nervous system disorders, diabetic nephropathy, heart diseases, stroke, and cardiovascular complications can also occur in diabetic patients [14]. T2DM is characterized as a metabolic disorder that leads to insulin receptor insensitivity or deficient insulin secretion, resulting in fasting hyperglycemia [15]. Both pre-diabetic and diabetic states were marked by inflammation and oxidative stress, stemming from an imbalance between the production of free radicals and their scavenging by various antioxidant systems [16, 17].

Oxidative stress also plays a critical role in the development of metabolic syndrome, a complex disorder characterized by various metabolic abnormalities, including abdominal obesity, hypertension, glucose intolerance, and atherogenic dyslipidemia [18, 19]. Trace metals are known to influence glucose homeostasis and insulin sensitivity [6]. In contrast to essential metals, some toxic trace metals have been found to accumulate in various biological samples of T2DM patients [1]. Therefore, maintaining an appropriate balance of trace metals is crucial for the overall well-being of individuals [2].

Furthermore, gender differences in trace metal concentrations and their potential implications for T2DM have been increasingly recognized, suggesting that men and women might experience distinct metabolic responses due to variations in trace metal homeostasis. It was reported that serum ferritin concentration was associated with insulin resistance in men, but not in women in Korean [20]. Abnormal metabolic processes in T2DM patients with increased urinary loss and malabsorption of trace metals due to various causes may differ by gender. In addition, higher ceruloplasmin levels and lower transferrin levels observed in T2DM patients may increase free Cu and Fe levels, respectively [21, 22]. Increased levels of these transition metals further increase oxidative stress, which in turn increases insulin resistance and T2DM [23].

This study was conducted to investigate the relationship between trace metal serum concentrations and T2DM by comparing and analyzing serum samples from healthy controls and T2DM patients. In addition, we aimed to explore the potential association between trace metal concentrations and gender differences in T2DM patients.

Materials and Methods

Ethics Approval and Study Subjects

Approval for this study (EMC 2014-03-008) was obtained from the Institutional Review Board (IRB) of Eulji University Hospital, Daejeon, Korea. The study protocol adhered to the ethical standards set forth by the IRB of Eulji University Hospital and complied with the principles outlined in the Declaration of Helsinki.

The study included 103 participants aged 28 ~ 79 years, comprising 53 healthy controls and 50 individuals with T2DM. Serum samples from these subjects were archived at Eulji University Hospital. Among the patients with T2DM, the average age was 50.9 ± 12.6 years, and the mean duration of diabetes was 7.5 ± 5.1 years.

The diagnostic criteria for T2DM of Korean included: fasting plasma glucose (FPG) level ≥ 126 mg/dL, presence of typical diabetes symptoms (excessive thirst, polyuria, and unexplained weight loss), random blood glucose level ≥ 200 mg/dL, hemoglobin A1c (HbA1c) ≥ 6.5 %, blood glucose level ≥ 200 mg/dL 2 hours after the oral glucose tolerance test with 75 g of carbohydrate intake [24].

Measurement of Serum Parameters for Diagnosis of T2DM

Serum concentrations of fast blood glucose (FBG), total cholesterol (TC), triglycerides (TG), HDL cholesterol (HDL-C), LDL cholesterol (LDL-C), and C-reactive protein (CRP) were determined using the Advia 1800 automatic analyzer (Siemens Inc., Munich, Germany). HbA1c levels were quantified using the HLC-723 G8 analyzer (Tosoh Corporation, Tokyo, Japan). These serum parameters have been used to substantiate the T2DM patients.

Measurement of Serum Concentration of Trace Metals Using ICP-MS and AAS

For inductively coupled plasma-mass spectrometry (ICP-MS) analysis, heavy metal samples were introduced into argon plasma as aerosol droplets from the spray chamber. The plasma dried and converted these aerosols into an ionic state at temperatures of approximately 6,000℃. These ions were then directed from the torch to the interface due to pressure differences within the machine. This process involved repeated vibrations, and the inflow of ions was determined based on negative and positive charges in the mass. A standard calibration curve was established by analyzing 1 % HNO3 in the blank and standard concentrations of heavy metals (Perkin-Elmer Inc., Multi-element calibration standard 3). Control samples (Clincheck control serum Level 1, 2; Recipe, Germany) and serum samples were diluted 20-fold with 1 % HNO3. The concentrations of Cu, Zn, Mn, and Se in the stored serum samples at -76℃ in vacuum tubes (MicroDigital, Seongnam, Korea) were analyzed using ICP-MS (Elan DRC-e; Perkin-Elmer Inc., Waltham, MA, USA).

Atomic absorption spectrophotometer (AAS) measures element concentrations based on the wavelength of light absorbed by a specific element, using a hollow cathode lamp as a common source of light. Samples underwent atomization in a graphite tube produced through carbonization. A standard calibration curve was generated by analyzing 0.1 % Triton X-100 in the blank and standard concentrations of heavy metals from the Korea Research Institute of Analytical Technology (Daejeon, Korea). Control samples (Clincheck control serum Level 1, 2; Recipe, München, Germany) and serum samples were diluted 7-fold with 0.1 % Triton X-100. The concentration of Cr in the serum stored at -76℃ in a vacuum tube (MicroDigital, Seongnam, Korea) was analyzed using the Varian SpectAA 220 (Varian, Belrose, Australia).

Total concentration of trace metals (TCTM) was calculated by summing the concentrations of all measured trace metals, which were Cu, Zn, Mn, Se and Cr.

Statistical Analysis

Data comparisons between the control and T2DM patients were conducted, and the results are presented as mean ± standard deviation (X ± SD) for both groups, using the t-test. Outliers in heavy metal data were determined using the interquartile range (IQR). The IQR is the distance between the first and third quartiles. When a data value was less than Q1- 1.5IQR or greater than Q3 + 1.5IQR, the value was considered an outlier, and the outliers were replaced by the mean [25]. The normality of the distribution of heavy metal data was evaluated using the Shapiro-Wilk test and the KolmogorovSmirnov test. The normality after the replacement were satisfied in Cu, Zn, Se and Cr except for Mn.

Multiple logistic regression analysis was employed to determine the independent contributions of heavy metals to T2DM after adjusting for confounding variables. All statistical analyses were carried out using performed using SAS software version 9.4 (SAS Institute, Cary, NC, USA), and a p-value less than 0.05 was considered statistically significant.

Results

Characteristics and categorized variables of two groups were presented in Table 1. The two groups between healthy controls and T2DM patients had a statistical significance associated with age, HbA1c, FBG, TC, HDL-C, and LDL-C. The T2DM patients were confirmed by diagnostic serum parameters (Table 1). However, there was no significant difference in TG and CRP between two groups.

Comparison of clinical characteristics between healthy controls and type 2 diabetes mellitus (T2DM) patients

In Table 1, the serum concentrations of total trace metals were compared in overall T2DM patients to healthy controls. The Se and Cu concentration in the T2DM group was significantly lower than those of the control group (P < 0.01 and P < 0.05 respectively). Logistic regression analysis in all unadjusted, adjusted model 1 for age and model 2 for age and sex indicated that Mn concentration was significantly higher in overall T2DM patients than in healthy controls (Table 2).

Odds ratios and 95% confidence intervals of type 2 diabetes mellitus (T2DM) according to serum concentration of trace metals

When examining trace metal concentrations by gender difference, Cu and Se levels were significantly lower in diabetic men (P < 0.05; Table 3). In separate analysis of women, T2DM group exhibited significantly higher levels of Zn, Se and Mn than those of healthy control group (P < 0.05; Table 3).

Comparison of clinical characteristics between healthy controls and type 2 diabetes mellitus (T2DM) patients in men and women

In logistic regression analysis of Table 4, there was no significant difference between healthy controls and T2DM patients in adjusted model 1 for age in men. However, in women, the Cu, Se, and Mn concentrations in T2DM patients were significantly different compared with healthy controls in the logistic regression analysis in both the unadjusted and adjusted model 1 for age (Table 4).

Odds ratios and 95 % confidence intervals of type 2 diabetes mellitus (T2DM) according to serum concentration of trace metals in men and women

Discussion

To our knowledge, this is the first study to separately examine the association between trace metals and T2DM by gender difference. In this study, trace metal accumulation was found to be associated with T2DM in women, but no significant relationship was found in men. We found that higher concentrations of Se, Zn and Mn, and lower concentrations of Cu were associated with increased prevalence of T2DM in women. This association was stronger in women compared to men. Accumulation and deficiency of certain trace metals in women’s serum may have negative health effects, and monitoring them may be useful for the prevention and treatment of T2DM patients.

The Cu is an essential and important mineral for many biological functions, and contributes to the catalytic activity of superoxide dismutase, which protects cells from superoxide radicals [26]. It also activates cytochrome oxidase, which is involved in the electron transport chain of mitochondria. When Cu is deficient, cytochrome oxidase activity decreases, which can impair mitochondrial activity in metabolically active tissues such as pancreatic beta cells [27]. For this reason, abnormalities in serum Cu and other trace metals concentrations have been reported to be associated with alterations in the metabolic pathways of T2DM and its complications [28].

The Se is one of the essential trace elements for human health and is part of Se-dependent glutathione peroxidase family. It contributes to redox action by converting lipid and phospholipid hydrogen peroxide and hydrogen peroxide into harmless products [29]. Diabetes is caused by insufficient insulin secretion and insulin resistance. Hyperglycemia can induce excessive levels of free radicals, leading to oxidative stress, which has a significant impact on the development and complications of diabetes [30]. However, Se may play a protective role against diabetes. Overexpression of Se-dependent glutathione peroxidase can protect pancreatic beta cells from the onset of oxidative stress and improve pancreatic function by stimulating pancreatic beta cell gene expression [31]. Conversely, the mechanisms by which high levels of Se affect diabetes are controversial. This is because research has shown that high selenium levels in the body can cause diabetes by interfering with insulin signaling [32].

Gender-specific effects of Se was reviewed and important health issues related to the Se and selenoproteins status suggested unexpected sexual dimorphisms [33]. Prospective human studies have shown that the anticancer effects of Se were greater in men than in women, suggesting that Se may exert endocrine effects, contributing to its health-promoting action [34]. Our study showed that clearly difference in detrimental effects of Se on T2DM in women. It also reported that association of elevated serum ferritin concentration with insulin resistance and impaired glucose metabolism in Korean men and women [20]. Many researchers have investigated the effects of gender difference in blood and tissue biomarker levels on various diseases, including diabetes, but the conclusions are still controversial.

Recently, Se is associated with both beneficial and detrimental health effects, thus it was suggested that deficient supply or uncontrolled supplementation raises concerns for an increased incidence of T2DM in a secondary analysis of a randomized controlled trial [35]. Another study showed the positive relationship between Se intake and the prevalence of T2DM. This association is particularly significant in younger individuals and men, especially [36]. In a study using mice model, relatively low dosages of Se supplementation (0.1 - 0.3 mg/Kg) exerted beneficial effects on glucose tolerance through regulating physiological glucose metabolism and inhibit the oxidative stress, while high dosages of Se (more than 0.9 mg/Kg) supplementation impaired glucose tolerance and aggravate oxidative stress [37].

In addition to Se, the accumulation of serum Mn also may cause diabetes. Mn is an essential nutrient required for carbohydrate, lipid, and protein metabolism and is involved in immune function, bone growth, blood sugar regulation, and cellular energy. And it is a component of Mn-SOD. Mn-SOD is a type of antioxidant and plays an important role in protecting mitochondria from elevated levels of reactive oxygen species (ROS), which can lead to diabetes [38, 39]. Excess Mn can increase Mn-SOD levels and activity, consequently increase hydrogen peroxide (H2O2) production. Previous studies have shown that transient exposure of pancreatic β-cells to large amounts of H2O2 can reduce the secretory response of β-cells to glucose, and that long-term exposure to high levels of H2O2 can cause insulin resistance [40]. However, more researches are needed to determine the link between Mn and diabetes.

Despite being an essential trace metal for glucose homeostasis and T2DM, but higher concentrations above the optimal physiological level of Mn can be toxic to humans [41]. A study of 1,801 people in China found that participants with higher serum Mn levels were more likely to develop diabetes [42]. Another case-control study found a U-shaped association between plasma Mn and T2DM in 3,228 subjects (1,614 diabetic patients and 1,614 controls). The odds ratio of type 2 diabetes significantly increased when plasma Mn levels were low or high [43].

Other trace and heavy metals of non-physiological concentration also have detrimental effects on systemic and metabolic homeostasis for healthy human. Higher total Ca, Mn, Zn, and Cu intake were inversely associated with the risk of diabetic retinopathy in USA diabetes adults (National Health and Nutrition Examination Survey, 2007-2018). It showed U-shaped dose-response relationships between various metals and diabetic retinopathy [44]. The relationship between plasma Ni concentration and T2DM also showed an inverted U-shaped connection with superoxide dismutase [45]. Several recent studies were suggested that role of environmental exposure Pb and Cd, Cu intake, plasma and urinary Zn, and Mg status and dietary pattern were related to development and prognosis of T2DM [46-49]. It also reported that mixture effects of trace metal concentration on cardiovascular diseases by Cd and Hg, and T2DM by Pb, Ni, Cr, and Cd risk in adults using G-computation analysis [50]. Our study found the similar effects of total concentration of trace metals, which was the sum of Zn, Cu, Se, Mn and Cr, in women T2DM patients.

This study had some limitations. Firstly, the case–control nature of our study does not allow us to infer any causality between all serum trace metals and T2DM because it was possible only representative trace metals such as Zn, Cu, Se, Mn and Cr. Secondly, although we adjusted for gender and age, which may confound the relationship between trace metals and T2DM, we could not rule out the possibility that other correlated parameters also contributed to the observed association. Thirdly, the results may be confounded by a lack of information on demographic variables such as participants' education level, occupation, and lifestyle habits.

Conclusions

This study has important implications considering pathophysiology of T2DM and high exposure to trace metals, especially Se and Mn, by gender difference. These findings suggest that excessive exposure to Se and Mn in women may increase their risk of developing T2DM. It highlights the significance of gender difference and suggests the potential benefits of regular monitoring of trace metal concentrations in the management of T2DM. Further large population studies should be needed to substantiate gender difference in the association of Se and Mn accumulation with T2DM in women but not in men.

Notes

Acknowledgement

This research was supported by EMBRI Grants 2014 EMBRI-DJ0002 from Eulji University.

Conflict of interest

The authors declare no conflicts of interest.

CRediT author statement

JML: Conceptualization, Methodology, Writing-Original draft preparation, Investigation; ANJ: Conceptualization, Methodology, Data curation; SH: Methodology, Writing-Original draft preparation; JWS: Methodology, Data analysis; CI: Conceptualization, Methodology, Writing- Reviewing and Editing; JHJ: Conceptualization, Supervision, Writing- Reviewing and Editing.

Supplementary Material

Add short descriptions of supplementary material. This material is available online at www.eaht.org.

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Article information Continued

Table 1.

Comparison of clinical characteristics between healthy controls and type 2 diabetes mellitus (T2DM) patients

Characteristics Healthy controls T2DM patients P-value
No. of participants 53 50
Gender Female (%) 27 (51) 33 (66)
Male (%) 26 (49) 17 (34)
Age (y) 42.8 ± 8.5 50.9 ± 12.6 < 0.001
HbA1c (%) 5.4 ± 0.4 7.3 ± 1.4 < 0.001
FBG (mg/dL) 88.4 ± 7.7 160.8 ± 71.7 < 0.001
TC (mg/dL) 188.2 ± 30.2 143.8 ± 31.6 < 0.001
TG (mg/dL) 117.4 ± 71.1 122.9 ± 53.6 0.654
HDL-C (mg/dL) 54.6 ± 11.4 45.9 ± 13.6 < 0.001
LDL-C (mg/dL) 109.4 ± 27.2 77.2 ± 26.1 < 0.001
CRP (mg/dL) 0.14 ± 0.26 0.34 ± 0.82 0.109
Zn (μg/dL) 117.7 ± 13.1 119.0 ± 24.2 0.843
Cu (μg/dL) 100.3 ± 15.6 88.7 ± 16.4 < 0.05
Se (μg/dL) 15.5 ± 2.7 12.6 ± 2.4 < 0.01
Mn (μg/dL) 5.9 ± 1.1 5.7 ± 1.6 0.687
Cr (μg/dL) 0.2 ± 0.1 0.2 ± 0.1 0.650
TCTM (μg/dL) 239.6 ± 21.2 226.2 ± 28.7 0.086

Values are presented as number (%) or mean ± standard deviation.

FBC, fast blood glucose; TC, total cholesterol; TG, triglyceride; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; CRP, C-reactive protein; Zn, zinc; Cu, copper; Se, selenium; Mn, manganese; Cr, chromium; TCTM, total concentration of trace metals..

Table 2.

Odds ratios and 95% confidence intervals of type 2 diabetes mellitus (T2DM) according to serum concentration of trace metals

Unadjusted Adjusted model 1 Adjusted model 2
OR (95% CI) OR (95% CI) OR (95% CI)
Zn Healthy controls 1.00 1.00 1.00
T2DM patients 1.01 (0.99-1.03) 1.07 (1.03-1.12) 1.01 (0.99-1.04)
Cu Healthy controls 1.00 1.00 1.00
T2DM patients 0.96 (0.93-0.99)* 0.96 (0.93-0.99)* 0.94 (0.91-0.98)*
Se Healthy controls 1.00 1.00 1.00
T2DM patients 1.01 (0.89-1.15) 1.06 (0.92-1.22) 1.19 (1.00-1.41)
Mn Healthy controls 1.00 1.00 1.00
T2DM patients 1.39 (1.09-1.77)* 1.34 (1.04-1.72)* 1.82 (1.28-2.59)*
Cr Healthy controls 1.00 1.00 1.00
T2DM patients 1.02 (0.01-164.90) 0.21 (<0.001-51.03) 0.41 (0.01-115.34)
TCTM Healthy controls 1.00 1.00 1.00
T2DM patients 0.99 (0.98-1.01) 0.99 (0.98-1.01) 0.996 (0.98-1.01)

OR, odds ratio; CI, confidence intervals; Zn, zinc; Cu, copper; Se, selenium; Mn, manganese; Cr, chromium; TCTM, total concentration of trace metals. Adjusted model 1, adjusted for age; Adjusted model 2, adjusted for age and sex.

*

P < 0.05.

Table 3.

Comparison of clinical characteristics between healthy controls and type 2 diabetes mellitus (T2DM) patients in men and women

Characteristics Men
P-value Women
P-value
Healthy controls T2DM patients Healthy controls T2DM patients
No. of participants 26 17 27 33
Age (y) 41.3 ± 7.1 54.7 ± 12.0 < 0.001 44.2 ± 9.6 48.9 ± 12.7 0.117
HbA1c (%) 5.4 ± 0.4 7.2 ± 1.2 < 0.001 5.5 ± 0.3 7.4 ± 1.5 < 0.001
FBG (mg/dL) 89.9 ± 9.0 149.1 ± 48.0 < 0.001 87.0 ± 6.2 166.9 ± 81.3 < 0.001
TC (mg/dL) 192.0 ± 28.4 132.5 ±23.5 < 0.001 184.5 ± 31.9 149.6 ± 33.9 < 0.001
TG (mg/dL) 160.1 ± 74.0 142.8 ± 47.6 0.398 76.2 ± 35.4 112.7 ± 54.3 < 0.01
HDL-C (mg/dL) 52.4 ± 12.2 36.9 ± 6.9 < 0.001 56.8 ± 10.5 50.5 ± 14.0 0.058
LDL-C (mg/dL) 109.7 ± 21.3 72.0 ± 23.6 < 0.001 109.1 ± 32.3 78.9 ± 27.2 < 0.001
CRP (mg/dL) 0.13 ± 0.11 0.45 ± 0.81 0.119 0.15 ± 0.35 0.28 ± 0.83 0.433
Zn (μg/dL) 117.7 ± 13.1 119.0 ± 24.2 0.843 100.6 ± 16.2 112.1 ± 24.2 < 0.05
Cu (μg/dL) 100.3 ± 15.6 88.7 ± 16.4 < 0.05 108.1 ± 12.8 99.6 ± 8.9 < 0.01
Se (μg/dL) 15.5 ± 2.7 12.6 ± 2.4 < 0.01 9.6 ± 1.1 12.5 ± 2.3 < 0.001
Mn (μg/dL) 5.9 ± 1.1 5.7 ± 1.6 0.687 2.9 ± 1.0 5.1 ± 1.6 < 0.001
Cr (μg/dL) 0.2 ± 0.1 0.2 ± 0.1 0.650 0.2 ± 0.1 0.2 ± 0.1 0.932
TCTM (μg/dL) 239.6 ± 21.2 226.2 ± 28.7 0.086 221.4 ± 21.2 229.5 ± 27.6 0.212

Values are presented as mean ± standard deviation.

FBC, fast blood glucose; TC, total cholesterol; TG, triglyceride; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; CRP, C-reactive protein; Zn, zinc; Cu, copper; Se, selenium; Mn, manganese; Cr, chromium; TCTM, total concentration of trace metals.

Table 4.

Odds ratios and 95 % confidence intervals of type 2 diabetes mellitus (T2DM) according to serum concentration of trace metals in men and women

Men
Women
Unadjusted Adjusted model 1 Unadjusted Adjusted model 1
OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI)
Zn Healthy controls 1.00 1.00 1.00 1.00
T2DM patients 1.00 (0.97-1.05) 0.99 (0.95-1.04) 1.03* (1.00-1.06) 1.02 (0.99-1.05)
Cu Healthy controls 1.00 1.00 1.00 1.00
T2DM patients 0.95* (0.91-0.99) 0.95 (0.90-1.01) 0.93* (0.88-0.98) 0.92* (0.87-0.98)
Se Healthy controls 1.00 1.00 1.00 1.00
T2DM patients 0.62* (0.44-0.86) 0.71 (0.50-1.01) 3.05* (1.75-5.32) 3.04* (1.74-5.34)
Mn Healthy controls 1.00 1.00 1.00 1.00
T2DM patients 0.90 (0.55-1.48) 0.75 (0.41-1.38) 4.22* (2.14-9.13) 4.50* (2.09-9.68)
TCTM Healthy controls 1.00 1.00 1.00 1.00
T2DM patients 0.98 (0.95-1.00) 0.98 (0.96-1.01) 1.01 (0.99-1.04) 1.01 (0.99-1.03)

OR, odds ratio; CI, confidence intervals; Zn, zinc; Cu, copper; Se, selenium; Mn, manganese; Cr, chromium; TCTM, total concentration of trace metals. Adjusted model 1, adjusted for age.

*

P < 0.05.