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Alterations of serum macro-minerals and trace elements are associated with major depressive disorder: a case-control study

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BMC PsychiatryBMC series – open, inclusive and trusted201818:94

  • Received: 23 April 2017
  • Accepted: 3 April 2018
  • Published:
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Major depressive disorder (MDD) is a mixed disorder with the highly irregular course, inconsistent response to treatment and has no well-known mechanism for the pathophysiology. Major causes of depression are genetic, neurobiological, and environmental. However, over the past few years, altered serum levels of macro-minerals (MM) and trace elements (TE) have been recognized as major causative factors to the pathogenesis of many mental disorders. The purpose of this study was to determine the serum levels of MM (calcium and magnesium) and TE (copper, iron, manganese, selenium, and zinc) in MDD patients and find out their associations with depression risk.


This prospective case-control study recruited 247 patients and 248 healthy volunteers matched by age and sex. The serum levels of MM and TE were analyzed by atomic absorption spectroscopy (AAS). Statistical analysis was performed with independent sample t-tests and Pearson’s correlation test.


We found significantly decreased concentrations of calcium and magnesium, iron, manganese, selenium, and zinc in MDD patients compared with control subjects (p < 0.05). But the concentration of copper was significantly increased in the patients than control subjects (p < 0.05). Data obtained from different inter-element relations in MDD patients and control subjects strongly suggest that there is a disturbance in the element homeostasis.


Our study suggests that altered serum concentrations of MM and TE are major contributing factors for the pathogenesis of MDD. Alterations of these elements in serum levels of MDD patients arise independently and they may provide a prognostic tool for the assessment of depression risk.


  • Major depressive disorder
  • Macro-minerals
  • Trace elements
  • Case-control
  • Inter-element relations


Major depressive disorder (MDD) is accompanied by low self-esteem and loss of interest or pleasure in day to day activities that adversely affect a person’s professional and personal life [1]. As major depression gives the enormous burden on an individual’s life, extensive efforts have been made to explore the biological mechanisms of it [2]. Major depression has been considered as a multifactorial disorder with genetic, neurological, and environmental factors contributing to overall risk. However, the mechanisms of these risk factors are still unknown [3]. Macro-minerals (MM) and trace elements (TE) play a versatile role in the biological system ranging from regulating metabolic reactions to acting as antioxidants [4, 5]. Several studies have suggested that alterations of these elements in serum levels are linked with the etiology and pathophysiology of many mental disorders [4, 69], including major depression [10].

Calcium (Ca) is essential for activation of different enzymes and plays a vital role in neuromuscular excitability. Low Ca level in the blood serum causes fragility of hair and nails and can also lead to mood disorders and depression [11]. Thus the deficiency of this mineral in the human body is linked with several chronic diseases [12]. Magnesium (Mg) acts as a coenzyme for many enzymatic systems. Mg is considered as an important factor in the treatment of depression due to its regulatory effects on N-methyl-D-aspartate (NMDA) channels [11]. Chronic stress, alcohol abuse, a diet rich in carbohydrates and fats cause Mg deficiency in the human and prolonged deficiency of this mineral develops depression [13].

Copper (Cu) accumulates in the liver, muscles, skeletal system, and brain of the human. Our kidneys, liver, and coronary arteries can be damaged by the high concentration of Cu in blood serum. Although, many disorders occur in the circulatory system, nervous system, and digestive system due to the deficiency of Cu [14]. In the human body, iron (Fe) transports oxygen through hemoglobin [15]. Fe deficiency is manifested mainly in weakness due to the limiting of aerobic changes in muscles. Moreover, some authors associate a decrease in body temperature, low appetite, and restless leg syndrome with Fe deficiency [16, 17]. Manganese (Mn) is a crucial trace element for human health [18]. In the central nervous system (CNS), Mn is presents in several proteins and key enzymes which are associated with some neurodegenerative disorders [1921]. Selenium (Se) is an essential nutrient required for the functioning of antioxidant defenses in the brain and nervous system [22]. Zinc (Zn) is considered as an important element in the human body and sufficient amount of Zn is required for nucleic acid and protein metabolism, cellular growth, division and functions [23]. Zn is an important modulator of the functioning of the central nervous system [24].

Moreover, major depression can be influenced by some specific metalloenzymatic reactions in the brain. Trace metals regulate a range of cellular metabolic reactions and some of them are responsible for the etiology of several neurological disorders [25]. Superoxide dismutase (SOD) is a metalloenzyme that contains metal ions in its structure [26]. In human, three types of SOD are present. SOD1 is cytoplasmic, SOD2 is mitochondrial and SOD3 is extracellular. SOD1 is a dimer while SOD2 and SOD3 are tetramers. SOD1 and SOD3 contain Cu and Zn, while SOD2 contain Mn at their reactive center [27]. CuZnSOD involved in defense against reactive oxygen species (ROS). MnSOD is an antioxidant enzyme that provides protection against free radicals [28].

Based on the above observations, the present study was undertaken to explore the associations of serum MM and TE levels with the risk of major depression on Bangladeshi population.


Study design and blood sample collection

This prospective case-control study enrolled 247 MDD patients and 248 healthy individuals. The patients were recruited from the department of psychiatry, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh but the controls were from different parts of Dhaka city matched by age, gender and body mass index (BMI) with the patients. A specialized psychiatrist diagnosed the cases and evaluated the controls according to the diagnostic and statistical manual of mental disorders, 5th edition (DSM-V). Detailed physical and neurological screenings were performed to diagnose the coexistence of other complications. The study subjects had no previous history of liver or kidney failure and had not been treated with any medication that could interfere with the concentrations of MM or TE. Patients with mental retardation and comorbid psychiatric illness were also excluded from this study. Additional exclusion criteria were alcohol and substance abuse or dependency, tardive dyskinesia related to neuroleptics, severe organic conditions, excessive obesity and presence of infectious diseases. Sociodemographic data were recorded by using pre-designed questionnaires. Different biographical features (height, weight) and BMI were also examined for both the cases and controls.

Blood samples (5 ml) were collected from the cephalic vein of each participant after an overnight fast. The samples were allowed to clot for one hour at room temperature. After centrifugation at 3000 rpm for 15 min, serum samples were extracted from the collected blood samples, placed into microtubes and stored at − 80 °C until analysis.

Chemical and reagents

Analytical grade reagents were used for the study from the commercially available company. Standards of Ca, Mg, Cu, Fe, Mn, Se, and Zn were sourced from ABCR GmbH & Co. KG, Germany. Hydrochloric acid (37%) and nitric acid were purchased from Merck, Germany. Other supportive chemicals of recommended grade were supplied by clinical pharmacy and pharmacology department, University of Dhaka, Bangladesh.

Determination of macro-minerals and trace elements

Serum level of MM and TE were measured by both flame atomic absorption spectrometry (FAAS) and graphite furnace atomic absorption spectrometry (GFAAS) following the method described in our previous articles [29, 30]. Briefly, collected serum samples were diluted with deionized water 1:10 dilution. Different concentrations of minerals (0.5, 1.0, 2.0, 5.0 and 10.0 mg/L) were used to prepare the calibration curve. Finally, the concentrations of MM and TE were measured by reading the absorbances’ at 422.7, 285.2, 327.4, 248.3, 279.8, 196.0 and 213.9 nm for Ca, Mg, Cu, Fe, Mn, Se, and Zn, respectively. The standard solutions were run for every 10 test samples to confirm the test precision and quality. The limits of detection (LoDs) were established by analyzing five blank solutions. The σ value was estimated by Microsoft office excel 2010 program. LoDs were found as follows (μg/L): 40Ca-1.9, 24Mg-0.24, 63Cu-1.8, 56Fe-0.13, 55Mn-0.07, 77Se-0.04, and 66Zn-0.05. SpectrAA software package was used to calculate the concentrations of MM and TE in serum samples using calibration curve. The safety measures for both collection and subsequent management of serum samples were taken to avoid or decrease MM and TE contamination.

Statistical analysis

Serum levels of MM and TE were presented as the mean ± standard error mean (mean ± SEM) and compared between the cases and the controls with independent sample t-tests. Boxplot graphs were used to compare study parameters between the patient group and the control subjects. Correlations were established among different study parameters using Pearson’s correlation test. p < 0.05 was considered to be statistically significant. Statistical analysis was performed using SPSS statistical software, version 20.0 (Armonk, NY: IBM Corp.)


Anthropometric and demographic profile of the study population

The study population was categorized based on their socioeconomic conditions, biophysical characteristics and smoking habit. Socioeconomic data of MDD patients and control subjects have been shown in Table 1 where female comprised the highest percentage of both MDD patients and control subjects than the male. It was found that most of the patients were literate (87%) and nonsmoker (73%). BMI values were normal for 84% patients and 78% control subjects. Among all MDD patients, 38% were very poor and 79% had average monthly family income ≤25 k Bangladeshi taka (KBDT). Only 7% patients had monthly family income above 40 KBDT. Statistical analysis showed that the differences of age, education, occupation, BMI, income and smoking habit were not significant between the groups (p > 0.05).
Table 1

Anthropometric and demographic profile of the study population


Patients (n = 247)

Controls (n = 248)

p value




Mean ± SEM



Mean ± SEM


Age in years












33.03 ± 0.693



33.55 ± 0.608
































BMI (kg/m2)

 Below 18.5 (CED)








 18.5–25 (normal)



22.82 ± 0.161



23.15 ± 0.191


 Above 25 (obese)
















 Can read only














 Higher secondary







 Graduate and above












































Monthly income in KBDT

 Below 10











19.28 ± 0.899



20.33 ± 0.911









 Above 40







Smoking habit
















CED chronic energy deficiency, KBDT kilo Bangladeshi taka. **p < 0.05 (Significant difference between patient and control groups at 95% confidence interval)

Serum levels of macro-minerals and trace elements

The mean serum concentrations of MM and TE for study population were presented in Table 2. Serum levels of Ca, Mg, Fe, Mn, Se, and Zn were found significantly decreased in MDD patients than control subjects (p < 0.05). But the concentration of Cu was significantly higher in the patient group (p > 0.05). The changes of serum MM and TE levels for cases and controls were presented in Figs. 1 and 2.
Table 2

Serum level of macro-minerals and trace elements in the study population

Elements (mg/L)

Values (Mean ± SEM)

Patient group

Control group

Reference rangea

p value*


94.91 ± 0.85

105.06 ± 1.05


p < 0.05


20.37 ± 0.28

21.85 ± 0.34


p < 0.05


1.39 ± 0.03

1.01 ± 0.02


p < 0.05


1.02 ± 0.02

1.30 ± 0.03


p < 0.05


1.00 ± 0. 01

1.17 ± 0.01


p < 0.05


0.03 ± 0.002

0.07 ± 0.003


p < 0.05


0.92 ± 0.02

1.09 ± 0.02


p < 0.05

*p < 0.05 (Significant difference between patient and control groups at 95% confidence interval)

a Reference values are given in milligrams per liter unit from the handbook on metals in clinical and analytical chemistry [53, 54]

Fig. 1
Fig. 1

Changes in serum levels of macro-minerals in the study population. Boxplot showing the median, maximum and minimum value range. a Calcium, b: Magnesium

Fig. 2
Fig. 2

Changes in serum levels of trace elements in the study population. Boxplot showing the median, maximum and minimum value range. a Zinc, b Copper, c Iron, d Manganese, e Selenium

Correlation study

Pearson’s correlation was used to establish inter-element relationships between the patients and controls for the investigated elements and presented in Table 3. Among all established relationships, patient group showed significantly negative correlations between Mn and Zn (r = − 0.184, p = 0.004), Mn and Cu (r = − 0.171, p = 0.007), Cu and Se (r = − 0.175, p = 0.006), statistically significant positive correlations were also observed between Mn and Mg (r = 0.155, p = 0.015), Mg and Se (r = 0.145, p = 0.023). Control group showed statistically significant (p < 0.05) negative correlations between Mn and Cu (r = − 0.275, p < 0.001), Cu and Mg (r = − 0.240, p < 0.001). All other positive and negative correlations between MM and TE were not found statistically significant for both of the study groups. Study parameters were not found significantly correlated with age and BMI of the study population.
Table 3

Correlation study among various research parameters in patient and control groups

Correlation parameters

Patient group

Control group






Fe and Mn





Fe and Zn





Fe and Cu



< 0.001


Fe and Ca





Fe and Mg





Fe and Se





Mn and Zn





Mn and Cu




< 0.001a

Mn and Ca





Mn and Mg




< 0.001a

Mn and Se





Zn and Cu



< 0.001


Zn and Ca





Zn and Mg





Zn and Se





Cu and Ca





Cu and Mg




< 0.001a

Cu and Se





Ca and Mg





Ca and Se





Mg and Se





r = Correlation co-efficient; p = Significance; Negative values specify opposite correlation

a Correlation is significant at 0.05 level (two-tailed)


To the best of our knowledge, this is the first ever study on Bangladeshi patients to find out the association of serum MM and TE levels with MDD. The required amounts of MM and TE are essential for maintaining proper healthy life. The present study explored the associations of MM and TE with the risk of major depression, demonstrating that alterations of serum MM and TE levels are associated with the increased risk of MDD. This generally happens when usual neurological physiology is troubled [31].

Several studies have shown that lower levels of serum Ca and Mg can cause various symptoms e.g. depression, anxiety, behavior, and personality changes [32]. One study showed that the significant deficiency of Ca was found in depression [33]. Other studies reported that serum concentrations of Mg were found substantially reduced in depressed patients [34, 35]. Another study revealed that Mg rich diet reduces the depressive symptoms [36]. The severity of depression is significantly influenced by the serum levels of Mg which confirms the involvement of Mg in the pathogenesis of depression [37]. In our current study, we found significantly lower levels of serum Ca and Mg in MDD patients compared to control subjects (p < 0.05). Thus this downregulation of serum MM levels may be involved in the pathogenesis of MDD.

The average concentration of serum Cu was found higher in depressed patients by 21% than healthy controls [38]. In our study, we also found the higher concentration of Cu in MDD patients compared with the control subjects (p < 0.05). Fe plays a major role in the development of the central nervous system (CNS). Moreover, it plays a crucial role in the development of depression as fatigue is caused by Fe deficiency. The current study found that the serum levels of Fe were reduced significantly in MDD patients which are supported by previous study results [39]. Low levels of Mn cause depression by increasing auto-immune reactions and macrocytosis [40]. In our present study, we found the significantly lower concentration of Mn in MDD patients compared with the control subjects (p < 0.05). Another valuable element is Se and any deficiency of this element causes the glutathione peroxidase dysfunction which is an enzyme that protects oxidative damage [41]. Also, Se modulates the status of many neurotransmitters [42]. Lower Se concentration is a risk factor for depression via antioxidant pathways [43]. According to our study, Se concentrations were significantly lower in MDD patients compared with the controls (p < 0.05). This evidence suggests that Se deficiency contributes to the pathogenesis of MDD as it prevents oxidative damage. Zn deficiency in humans is relatively rare but it occurs during the emotional stress and some disease conditions e.g. giardiasis, diarrhea, acute pancreatitis, and chronic renal failure. Several studies have suggested that prolonged Zn deficiency causes neuropsychiatric disorders such as depression and lack of concentration [4345]. These observations are consistent with our present study result where a significantly decreased level of serum Zn was found in MDD patients (p < 0.05).

Nearly 7.6% patients suffering from psychiatric disorder have nutritional problems [46]. Serum concentrations of MM and TE are known to be influenced by dietary factors. The effects of diet on serum level of MM such as Ca and Mg are sparse [47]. Serum levels of Fe and Zn are especially affected by diet [48]. Serum level of Se could be affected by the low Se containing foodstuffs [49]. Deficiencies of Cu and Mn in the serum level are unusual due to a wide variety of dietary sources [50]. Pharmacotherapy is also a considerable factor that influences the serum levels of MM and TE in MDD patients. Serum Cu level is influenced by acute antidepressant therapy such as escitalopram and reboxetine reduced and imipramine increased serum Cu level [51]. Decreased serum Zn concentration can be normalized after successful antidepressant therapy e.g. citalopram increases serum Zn level [52].

At the end of our discussion, we can give some outline about lifestyle and diet as interventional events for MDD. According to our study findings, we can propose diet, current pharmacotherapy, and lifestyle as considerable factors for the proper treatment of MDD. We did not investigate the impact of dietary supplementation, current pharmacotherapy, and lifestyle on our study parameters that were the main drawback of our study. Therefore, this is a preliminary study and further investigation with more homogenous samples is required to support our findings. In spite of these limitations, the present study has some significant advantages. The first strength is the large study population match on age, sex and residential areas of patients and healthy controls. Another one is the simultaneous determination of all macro and micro elements under the same experimental conditions.


The present study illustrates that MDD patients have reduced serum concentrations of MM and TE except for Cu compared with healthy volunteers. So these findings suggest the possible involvement of depleted serum MM and TE in the pathogenesis of depression. It was found that there was no significant correlation of serum MM and TE with age and BMI of the patient group. The reduced serum MM and TE may have an influence on the development of MDD. We thus recommend the altered serum levels of MM and TE are associated with the risk of MDD which may require further study.




Atomic absorption spectroscopy


Alzheimer’s disease


Bipolar disorder


Body mass index


Bangabandhu Sheikh Mujib Medical University


Bangabandhu Sheikh Mujibur Rahman Agricultural University


Chronic energy deficiency


Central nervous system


Diagnostic and statistical manual of mental disorders, 5th edition


Generalized anxiety disorder


Kilo Bangladeshi taka


Limit of detection


Major depressive disorder




Obsessive-compulsive disorder


Peptidylglycine α-amidating mono-oxygenase


Reactive oxygen species


Standard error mean


Superoxide dismutase


Statistical package for the social sciences


Trace elements



The authors are thankful to all the staff and physicians at the department of psychiatry, BSMMU, for their technical and administrative support. The authors are also thankful for the laboratory support provided by the department of soil science, faculty of agriculture, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Salna, Gazipur, Bangladesh.

Availability of data and materials

Data supporting our findings are available from the corresponding author on reasonable request.

Authors’ contributions

MRI Conceived, designed, conducted and analyzed the experiment, performed computational analyses and data editing, wrote and revised the manuscript. MRI Analyzed the experiment, wrote and revised the manuscript. MMASQ Diagnosed and evaluate the study subjects. MSI Performed computational analyses and data editing. MHK and GKMMR Analyzed the experiment. MSI Supervised the whole work and gave important intellectual content in manuscript. AH Supervised the whole work. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The study protocol was approved by the ethical review committee at the department of psychiatry, BSMMU. All investigations were conducted according to the principles expressed in the Declaration of Helsinki. The study participants were well informed about the objective of the study and written consent was taken from each of them to participate in the study. If independent thinking capacity of any MDD patient was suspected, the written permission of the relevant was obtained from the primary caregiver.

Competing interests

The authors declare that they have no competing interests.

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Authors’ Affiliations

Department of Clinical Pharmacy and Pharmacology, Faculty of Pharmacy, University of Dhaka, Dhaka, 1000, Bangladesh
Department of Psychiatry, Bangabandhu Sheikh Mujib Medical University, Dhaka, 1000, Bangladesh
Department of Pharmacy, Noakhali Science and Technology University, Sonapur, Noakhali, 3814, Bangladesh
Department of Soil Science, Faculty of Agriculture, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Salna, Gazipur, 1706, Bangladesh


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