Status of Micro and Macro Nutrients in Patients with Type 2 Diabetes Mellitus Suggesting the Importance of Cation Ratios ()
Received 15 July 2016; accepted 7 August 2016; published 10 August 2016
1. Introduction
Type 2 diabetes mellitus (T2DM) constitutes 90% of diabetic population and also shows increasing prevalence worldwide [1] . Trace elements play important role in glucose metabolism by serving as cofactors or components for enzyme involved in glucose metabolism enhancing insulin action by activation of insulin receptor. Being an integral part of antioxidant system they are also implicated in various complication of T2DM. A delicate balance among micronutrients exists due to the synergistic and antagonistic effects existing among them and studies have shown that the status of many trace metals in T2DM patient differs significantly from healthy individuals suggesting some imbalance in micronutrient status among people with T2DM. Trace elements enhance insulin action by activation of insulin receptor, and serve as a cofactors or compounds for enzymes involved in glucose metabolisms increasing insulin sensitivity and also important component of antioxidants system [2] . Elevated cytosolic free calcium concentration is the primary trigger for insulin release and magnesium is a cofactor in the glucose transporting mechanism of cell membrane. Zinc and chromium are important on insulin action and Zinc also part of antioxidant system. The present study was aimed to evaluate the status of Ca, Mg, Zn and Cr in relation to HbA1c in T2DM patients.
2. Materials and Methods
This case-control study was conducted after obtaining the clearance from the Institutional Human Ethical committee. Seventy three patients with newly diagnosed T2DM were included in this study and they were divided into two groups based on their HbA1c values. Group 1 with HbA1c ≤ 7% (n = 34) and Group 2 with HbA1c ≥ 7% (n = 39) diabetic cases.
Analytical grade acids (Merck), standard certified solutions in nitric acid containing 1000 mg/L (Perkin- Elmer), TritonX-100 (Fisher Scientific), LaCl3 (Sigma-Aldrich) were used. Water quality was secured by treatment on a Millipore Synergy U.V water treatment system. Working standards of zinc was prepared with 5% (v/v) glycerol and that of chromium using a 0.2% solution of nitric acid containing 0.2% TritonX-100. Metals were estimated as per standard methods [5] [6] using Atomic Absorption AAS (Perkin Elmer AAnalyst 700, with electrographite furnace; 4.11 - 11 fitted with autosampler and deuterium lamp background correction; slit width 0.7 nm, oxidant flow rate; 16.0 L/min and acetylene flow rate 7.8 L/min. Flame AAS was used for Ca and Mg. GFAAS was used for the estimation of Zn and Cr. 0.1% Magnesium nitrate was uses as the chemical modifier in the estimation of Zn. Wavelength [Ca (422.7 nm); Mg (285.2 nm); Cr (357.9 nm); Zn (213.9 nm)]. HbA1c was estimated using the ion-exchange HPLC method (BIO-RAD, D10 Haemoglobin A1c programme).
5 ml of blood samples irrespective of the gender were collected from the out patients of the institute and used for trace metal analysis. The blood was separately collected in tubes containing EDTA which was used for HbA1c assessment. HbA1c determination was based on a 3-min cation exchange chromatography on a special cartridge. The eluted molecules were detected at 415 nm and estimated from their areas. HbA1c was reported in conventional percentage.
3. Statistical Analysis
The statistical analysis of the data was done using (SPSS 19 for Windows). Checked the quantitative variables for normal distribution and summarized variables following normal distribution as mean and standard deviation. Variables not following normal distribution as medians. Spearman’s rank correlation was applied to determine the statistical association of the categorical variables. Mann-Whiteney U test to compare median values between two categories of outcome variables. Logistic regression was applied to compute unadjusted odd ratio (95% confidence Lt). A significance value (r) > 0.7 and p < 0.05 has been accepted for all cases.
Observations & Results
There were 18 females in group 1 (mean age 45.2 years) and 22 females in group 2 (mean age 45.6 yrs).There was no significant difference with respect to the age and gender distribution of the study participants between the groups. Our study also showed no significant difference in the levels of calcium, magnesium, zinc and chromium among both the groups. But magnesium levels were less than the reference range in both groups (Table 1 and Table 2).
Spearman’s rank correlation analysis was performed on the data to find an association between the minerals
Table 1. Comparison of biochemical parameters between the groups.
Comparison was by done using Mann-Whiteney U test.
Table 2. Correlations of calcium, magnesium, zinc, chromium and magnesium/zinc with HbA1c.
Comparison was by done using Mann-Whiteney U test. *indicate p value < 0.05, statistically significant.
and glycemic status and there were no significant correlations between Ca2+, Mg2+, Zn2+ and Cr3+ with HbA1c levels in group 1. In group 2, significant correlations were seen for HbA1c with Mg2+ (r = −0.78, p = 0.042), Zn2+ (r = −0.82, p = 0.49), Cr3+ (r = −0.86, p = 0.021).
We also analyzed the association between ratios of the minerals in both groups by spearman’s correlation and found significant association among Ca2+/Zn2+ and Ca2+/Mg2+ ratios and HbA1c levels on both groups (r = −0.742 in group 1, r = 0.83 in group 2) with slight increase in significance among group 2. Correlation between Mg2+/Cr3+ and Ca2+/Cr3+ was seen in both groups (r = 0.959 in group 1, r = 0.87 in group 2). Negative correlation between Cr3+/Zn2+ and Ca2+/Cr3+ (r = 0.729, p = 0.013) in group 2 was also observed.
4. Discussion
Results obtained from this study indicates that there is no significant change in the levels of the parameters between the groups except a slight increase in the Calcium level and slight decrease in the levels of Zinc and Chromium in group 2. This result is in agreement with previous observations [3] - [5] . We have noticed that all the cases irrespective of the groups had Mg2+ levels lower than the reference range and agree with the observations of hypomagnesemia associated with T2DM patients [6] .
Niewoener et al. reported that only 9% of the T2DM patients under study had low serum Zn concentration than the controls and no correlation was observed between serum zinc and HbA1c levels [7] . We have observed negative correlation for the concentration of Mg2+, Zn2+ and Cr3+ with glycemic status (HbA1c) in the group 2. Our results in this regard agree with the reported inverse correlations of HbA1c with Mg, Zn and Cr [8] - [10] but against a very recent report in the case of Zn [11] . We have also found a new significant positive correlation between Mg/Zn and HbA1c.
Metal ion ratios were suggested more informative than the status of individual mineral concentration, because these ratios are predictive of metabolic dysfunctions and indicative of disease trends [12] . Ca2+/Mg2+ ratio is very significant in diabetes as they are very decisive in insulin production. Further, elevated inflammatory response associated with magnesium deficiency. Oxidative stress which is at higher degrees in T2DM cases, due to excess flux of glucose in to the polyol pathway, also noted to worsen hypomagnesaemia [13] . Further, serum magnesium levels depend on the status of calcium [14] . A high Ca2+/Mg2+ ratio as a biomarker for prostate cancer has been suggested. The range of Ca2+/Mg2+ reported for the entire group of prostate cancer patients was 4.3 to 4.94 in which a subsection consisting of diabetic patients had values between4.52 and 4.94. In our studies, no significant difference was found in this ratio between the groups 1 and 2 and Ca2+/Mg2+ was found between 4.4 and 14 with a mean value 0.77 ± 0.29. The observed correlation between the ratios Ca2+/Mg2 and Ca2+/Zn2 was found in both the groups, but the correlation is found strengthened in group 2 where HbA1c ≥ 7.
In an isolated study, Cu2+/Zn2 ratio was shown significantly higher in cases with T2DM with poor glycemic control [15] . Higher Cu2+/Zn2 ratio as inflammatory biomarkers for obstructive pulmonary disease [16] , autism spectrum disorder [17] and impairment in bone density [18] have been reported. The significant association between the ratios seen in current study throw light in to the relative status of different cations in T2DM. Non redox active metals like Zn, Mg, Ca etc. which often stabilize the structure of protein compete with the redox active metals like Cu, Fe, Cr etc. for binding sites on proteins, cell membranes and DNA for which coordination number, charge to ionic radius are very important [19] .
Substitution of Zn2+ (CN6, ionic radius 0.74A) for Cu2+ (CN6, ionic radius 0.73A) in the structure of Cu2+/ Zn2+ superoxide dismutase is reported to maintain 100 reactivity of the enzyme, though results varied with other substitutions [20] .
Zn2+ needs special mention in the case of mutual substitutions as it can also exhibit CN4 with radius 0.6A and CN5 with radius 0.68A. It can be seen that the ionic radii and tendency to form metal-metal bond are very similar for Zn+2 and Mg+2 in crystal structures and Mg2+ caused replacement of Zn2+ from its complexes [21] .
We have observed that Mg2+/Zn2+ not correlated to HbA1c in the non-diabetic group but attained significance in the diabetic group. It has been reported that glycemic control in T2DM patients may not correct low Mg2+ concentration suggesting other factors to regulate Mg levels [22] . Further, it was suggested that the association between a low blood Mg concentration and insulin resistance was related to abnormalities of other cations [23] . Hence we hypothesise that Mg2+/Zn2+ need attention in the case of type 2 diabetes.
Chromium being a redox active metal differs from Zn2+, Mg and Ca2+. The role of chromium in the metabolism of sugar is undisputed, but the effect of Cr supplementation in glycemic control is reported conflicting [24] . It is reported recently that Cr3+ influence the activity of the enzyme superoxide dismutase which protects the cells from peroxidation in a dose dependent manner [25] . This observation supports the correlation of Cr3+ directly and in relation to the other cations with HbA1c.
5. Conclusion
T2DM is associated with imbalance in micro and macro nutrient status. The concentrations of Magnesium, Zinc and Chromium were significantly reduced in subjects with T2DM with HbA1c ≥ 7. The ratios of these metal ions were associated significantly with the glycemic status. Monitoring the ratios of these bioactive metal cations is suggested than mere free ion concentration of specific mineral in T2DM patients. Documentation and correction of these micro and macro nutrient imbalances will help in better glycemic control in subjects with T2DM. Regular monitoring of the metal ion ratios will prevent or delay the onset of micro and macro vascular complications of T2DM by alleviating the oxidative stress, systemic inflammation and insulin resistance.
Acknowledgements
The authors acknowledge their gratitude to Dr. Winny Varghese, Secretary, Mar Athanasius College Association, Kothamangalam, Kerala, for the permission granted to them to avail the facilities at the sophisticated instrumentation centre of the College. One of the authors Dr. Sony Joseph is thankful to Mr. Jain M. George for the friendly technical support.
Conflict of Interest
The authors declare that we have no conflict of interest in the results of the studies.
NOTES
*Corresponding author.