JCDR - Register at Journal of Clinical and Diagnostic Research
Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X
Internal Medicine Section DOI : 10.7860/JCDR/2020/43632.13652
Year : 2020 | Month : Apr | Volume : 14 | Issue : 04 Full Version Page : OC21 - OC25

Correlation of Fasting Serum Magnesium with Glycaemic and Nephropathy Status in Type 2 Diabetes Mellitus

Aditya Dhanawat1, Lalatendu Mohanty2, Pravakar Khatua3, Sudhansu Sekhar Panda4, Guncha Maheshwari5

1 PG Resident, Department of Internal Medicine, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.
2 Professor, Department of Internal Medicine, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.
3 Consultant, Department of Internal Medicine, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.
4 Professor and Head, Department of Internal Medicine, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.
5 PG Resident, Department of Radiation Oncology, Sardar Patel Medical College, Bikaner, Rajasthan, India.


NAME, ADDRESS, E-MAIL ID OF THE CORRESPONDING AUTHOR: Lalatendu Mohanty, Professor, Department of Internal Medicine, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.
E-mail: lalatendumohanty3@gmail.com
Abstract

Introduction

The estimated prevalence of Hypomagnesemia in Type 2 Diabetes Mellitus (T2DM) ranges between 14% to 48% in various studies. Hypomagnesemia has been found to be associated with increased insulin resistance in patients of T2DM.

Aim

The aim was to estimate fasting serum magnesium levels in the patients of T2DM and to correlate serum magnesium with glycaemic status and nephropathy status.

Materials and Methods

It was a cross-divtional study conducted at KIMS, Bhubaneswar between October 2017 to September 2019 which included a total of 187 T2DM patients. The glycaemic status was assessed by HbA1c and subdivided into good (HbA1c <7%), intermediate (HbA1c 7-9%) and poor control (HbA1c >9%). The nephropathy status was assessed by urine Albumin-Creatinine Ratio (ACR) and subdivided into macroalbuminuria (Urine ACR >300 mg/g), microalbuminuria (Urine ACR 30-299 mg/g) and non-nephropathy (Urine ACR <30 mg/g) groups. Student t-test and One-way ANOVA test were used to find the significance of mean pattern of serum magnesium in different groups and Pearson correlation coefficient test was used to correlate serum magnesium with glycaemic and nephropathy status.

Results

Out of 187 patients, 49 (26.2%) patients were found to have hypomagnesemia. In the poor glycaemic status group, 30% of patients had hypomagnesemia as compared to 26% in the intermediate and 19% in the good glycaemic status group. In the macroalbuminuria group, 41.3% patients had hypomagnesemia as compared to 17.6% in the microalbuminuria group and 4.5% in the non-nephropathy group.

Conclusion

There was a weak negative correlation (r=-0.04) between serum magnesium and glycaemic status which was not statistically significant (p=0.62). There was a negative correlation (r=-0.17) between serum magnesium and nephropathy status which was found to be statistically significant (p=0.02).

Keywords

Introduction

The number of patients with Diabetes Mellitus (DM) has been increased from 108 million in 1980 to 422 million in 2014. The global prevalence of DM in adults has risen from 4.7% in 1980 to 8.5% in 2014 [1]. Low magnesium levels have been reported to accelerate deterioration of kidney function [2].

Serum magnesium level in the normal individual is maintained between 0.7 to 1.0 mmol/L i.e., 1.68 to 2.4 mg/dL [3]. Low serum magnesium levels have been found to be associated with increased insulin resistance in patients of T2DM and metabolic syndrome [4]. Hypomagnesemia causes defective insulin receptor phosphorylation and this is considered the main mechanism leading to insulin resistance.

Insulin dependent Glucose Transporters (GLUT-4) is responsible for glucose uptake into the skeletal muscles and is responsible for metabolism of about 80% of dietary glucose load. Obese patients are prone to develop T2DM. Adipocytes release IL-1 (Interleukin-1) and Tumour Necrosis Factor-α (TNF-α) which are mediators of inflammation. This pro-inflammatory state results in insulin resistance and is responsible for high prevalence of diabetes mellitus in obese patients. Magnesium is an anti-inflammatory molecule and high levels of IL-1 and TNF-α are found in obese patients with hypomagnesemia [5]. Low magnesium also results in neutrophil activation and oxidative stress further aggravating insulin resistance [6]. The activity of glucokinase is regulated by Magnesium-ATP complex and thus, hypomagnesemia reduces the activity of glucokinase. Other enzymes of glycolysis and kreb’s cycle also depend on magnesium as a co-factor and thus, hypomagnesemia ultimately results in reduced glycolysis.

Deoxyribonucleic acid (DNA) synthesis and thereby, protein synthesis is dependent on intracellular magnesium concentration which is tightly regulated. The uptake is mediated by magnesium channels and transporters, especially Solute Carrier Family 41 member 1 (SLC41A1), Magnesium Transporter 1 (MagT1) and Transient Receptor Potential Melastatin type 6 and 7 (TRPM6 and TRPM7). Single Nucleotide Polymorphisms (SNPs) in TRPM6 and SLC41A1 have been associated with increased risk of Type 2 DM [7,8]. TRPM6 channels are responsible for re-absorption of magnesium from distal tubules. TRPM6 receptors are tightly regulated by magnesium levels, ATP availability and Epidermal Growth Factor (EGF). The mechanism of magnesium excretion from the Distal Convoluted Tubule (DCT) is still debated but recent studies have suggested that this mechanism to be facilitated by SLC41A1-sodium-magnesium exchanger [9].

Hyperglycaemia in diabetic patients results in hyper-filtration and increased renal urinary flow [10]. Increased urine volume in diabetic patients results into dilution of magnesium concentration in the pro-urine thereby disturbing the trans-epithelial magnesium gradient between the tubule and the interstitium resulting in increased magnesium excretion. Thus, magnesium reabsorption in Thick Ascending Limb (TAL) and DCT is inversely correlated with the urine volume in diabetic patients.

One of the major contributors in the mechanism of diabetic nephropathy is oxidative stress. Oxidative stress reduces TRPM6 activity and thereby, reduces magnesium reabsorption. This also contributes to hypomagnesemia in diabetic patients [11]. Methionine Sulfoxide Reductase B1 (MSRB1) has been found to recover the TRPM6 activity thereby, preventing oxidative stress induced damage to the kidneys.

Despite this humongous pool of diabetic patients, magnesium levels are not routinely checked in T2DM patients. Hypomagnesemia is associated with muscle cramps, hypokalemia, hypertension and these findings are often seen in T2DM patients. Widely used drugs such as thiazides, proton pump inhibitors and calcineurin inhibitors are responsible for risk of hypomagnesemia. Hence, patients taking these drugs should be closely monitored [12,13].

Some studies had varying results in the past, ranging from 10-48% prevalence of hypomagnesemia in T2DM patients [14-25]. There have also been a few studies which have found a statistically significant negative correlation between serum magnesium and HbA1c [18,19,23,24]. To our knowledge, there have been no such studies in south-east India which led us to explore the prevalence of hypomagnesemia in T2DM patients in the present clinical setting and correlation of serum magnesium with glycaemic and nephropathy status. The aim of this study was to estimate fasting serum magnesium concentration in patients of T2DM and to find the correlation of serum magnesium with glycaemic and nephropathy status in these patients.

Materials and Methods

Study Design

It was a cross-sectional observational study conducted for a period of 24 months from October 2017 to September 2019. According to the hospital data, 5126 patients were admitted in the Department of Internal Medicine in the year 2016, out of which 728 patients had T2DM. Thus, the expected frequency (P) of T2DM was 728/5126=14.2%.

Using the standard formula for sample size calculation, with a margin of error (α) of 0.05, confidence interval (1-α) of 0.95, Z0.95 of 1.96 (normal distribution table) and absolute precision (D) of 5%, the sample size (n) was calculated to be 187 patients.

Inclusion Criteria: The patients for the study were selected from those admitted in the Department of Internal Medicine of Kalinga Institute of Medical Sciences, Bhubaneswar, India. The patients included in the study were ≥18 years of age and known cases of T2DM for more than 6 months.

Exclusion Criteria: Patients who had acute coronary syndrome in the last 3 months, non-diabetic Chronic Kidney Disease (CKD), chronic liver disease, chronic diarrhoea, epilepsy, known malignancies, patients on oral magnesium supplementation, antacids or proton pump inhibitors and pregnant or lactating mothers were excluded from the study.

Data was collected using a proforma meeting the objectives of the study. The cases for the study were selected in accordance with the above mentioned inclusion and exclusion criteria. The purpose of the study was explained to the patients and informed consent was obtained. Ethical approval was obtained from the Institutional Ethical Committee vide reference number KIMS/KIIT/IEC/69/2017 dated 15.09.2017. The glycaemic status was assessed by HbA1c and subdivided into good (HbA1c <7%), intermediate (HbA1c 7-9%) and poor control (HbA1c >9%) [26]. The nephropathy status was assessed by urine ACR and subdivided into macroalbuminuria (Urine ACR ≥300 mg/g), microalbuminuria (Urine ACR 30-299 mg/g) and non-nephropathy (Urine ACR <30 mg/g) groups [27]. Fasting serum magnesium was estimated in all the patients. Patients with serum magnesium of less than 1.7 mg/dL were classified as hypomagnesemia and more than 2.3 mg/dL were classified as hypermagnesemia [28].

Statistical Analysis

Statistical analysis was performed using GraphPad Prism version 6. Student t-test and One-way ANOVA test were used to find the significance of mean pattern of serum magnesium in different groups according to glycaemic and nephropathy status. Pearson correlation coefficient test was used to correlate between serum magnesium and glycaemic status. It was also used to correlate between serum magnesium and nephropathy status.

Results

A total of 187 T2DM patients were enrolled in the study. The mean age of the study population was 58.8±11.6 years. The eldest patient was 87 years and the youngest patient was 32-year-old. Seventy-one (37.9%) patients were females and 116 (62.1%) were males. Eighty-eight (47%) patients were from urban areas and 99 (53%) from rural areas. One hundred seventeen (62.6%) patients were between the age group of 51-70 years [Table/Fig-1].

Distribution of patients according to age (n=187).

One hundred eighty-seven patients were divided on the basis of their glycaemic status as assessed by HbA1c [Table/Fig-2]. The mean age of patients was 62±11.3, 61.8±11.1 and 55.1±11 years in the good, intermediate and poor glycaemic status groups, respectively which was statistically significant (p=0.0003) but there was no statistically significant relation between the mean duration of T2DM in the 3 subgroups (p=0.71).

Mean FBS and PPBS according to HbA1c.

HbA1cGlycaemic statusNumber of patientsMean Fasting Blood Sugar (FBS) (mg/dL)Mean Post Prandial Blood Sugar (PPBS) (mg/dL)
<7%Good47 (25.1%)147.2±90.7188.2±96.6
7-9%Intermediate53 (28.3%)170.4±90.1223.5±95.8
>9%Poor87 (46.6%)239.3±98.9306.8±90.7

Fasting serum magnesium levels were estimated in 187 patients and the mean value was 1.89±0.34 mg/dL in the study population.

Out of 187 patients, 49 (26.2%) patients had hypomagnesemia [Table/Fig-3]. In the poor glycaemic status group, 30% of patients had hypomagnesemia as compared to 26% in the intermediate and 19% in the good glycaemic status group. None of the patients had hypermagnesemia.

Mean fasting serum magnesium according to HbA1c.

All the patients were also divided on the basis of their nephropathy status as assessed by Urine ACR [Table/Fig-4] and their serum magnesium level was estimated [Table/Fig-5]. In the macroalbuminuria group, 41.3% patients had hypomagnesemia as compared to 17.6% in the microalbuminuria group and 4.5% in the non-nephropathy group. There was no statistically significant relation between the mean age of patients in the 3 subgroups (p=0.32). The mean duration of T2DM was 5.9±6.1, 6.3±4.9 and 9.1±5.3 years in the non-nephropathy, microalbuminuria and macroalbuminuria groups, respectively which was statistically significant (p=0.0008).

There was a weak negative correlation between serum magnesium and HbA1c which was not statistically significant (r=-0.04, p=0.62) [Table/Fig-6]. There was also a negative correlation between serum magnesium and urine ACR which was statistically significant (r=-0.17, p=0.02) [Table/Fig-7].

Mean FBS, PPBS and HbA1c according to Urine ACR.

Urine ACR (in mg/g)Nephropathy statusNumber of patientsMean Fasting Blood Sugar (FBS) (mg/dL)Mean post Prandial Blood Sugar (PPBS)(mg/dL)Mean HbA1c
<30Non-nephropathy22 (11.8%)174.5±87.9220.8±98.67.9%
30-299Microalbuminuria85 (45.4%)192.9±90.7245.5±92.99.4%
≥300Macroalbuminuria80 (42.8%)206.7±89.9270.8±96.09.5%

Mean fasting serum magnesium according to nephropathy status.

Correlation between serum magnesium and HbA1c.

r=-0.04; p=0.62

Correlation between serum magnesium and urine ACR.

r=-0.17; p=0.02

Discussion

In the present study, out of total 187 T2DM patients, 49 (26.2%) patients had hypomagnesemia. None of the patients had hypermagnesemia. The prevalence of hypomagnesemia was 19%, 26% and 30% in the good, intermediate and poor glycaemic status groups respectively. Subgroups with higher HbA1c levels reported a lower mean serum magnesium levels. This finding could be attributed to insulin resistance as insulin regulates magnesium reabsorption in the kidneys and further, low serum magnesium levels cause defect in insulin receptor phosphorylation thus causing a vicious cycle wherein there is worsening glycaemic status and hypomagnesemia.

Previous studies which have estimated hypomagnesemia in T2DM patients are summarised [Table/Fig-8] [14-23,25]. In a study conducted in Guwahati, India by Dasgupta A et al., there were 150 T2DM patients and the prevalence of hypomagnesemia was around 11% [14]. Similar study conducted in Turkey by Arpaci D et al., evaluated 673 diabetic patients and found 9.7% of them to have hypomagnesemia [18]. Another study by Parlapally RP et al., in Telangana, India estimated 38.6% patients to have hypomagnesemia in a cohort of 75 diabetic patients [20]. They also found that hypomagnesemia was associated with Diabetic Retinopathy and Nephropathy. In this study, hypomagnesemia was found in 26.2% of 187 patients. These wide differences in the prevalence of hypomagnesemia could be attributed due to the regional differences in lifestyle including exercise and diet which has significantly alter the glycaemic status and serum magnesium levels.

Previous studies on hypomagnesemia [14-23,25].

YearPlaceAuthorsTotal number of patientsPercentage of hypomagnesemia
2010Guwahati, IndiaDasgupta A et al., [14]15011%
2012Osaka, JapanSakaguchi Y et al., [15]45524%
2012Barcelona, SpainLecube A et al., [16]20048%
2013Fremantle, AustraliaPeters KE et al., [17]94019%
2015Sakarya, TurkeyArpaci D et al., [18]6739.7%
2017Nijmegan, NetherlandsKurstjens S et al., [19]39531%
2016Telangana, IndiaParlapally RP et al., [20]7538.6%
2017Sagamu, NigeriaOdusan OO et al., [21]12523%
2019Abbottabad, PakistanNoor MM et al., [22]18034%
2018Ankara, TurkeyIlkay HO et al., [23]11919%
2019North IndiaKumar P et al., [25]25044%

A study by Kumar P et al., (2019) observed that 110 (44%) out of 250 patients have hypomagnesemia [25]. They also found that magnesium deficiency was associated with poor glycaemic control and increased risk of diabetic retinopathy.

In this study, the prevalence of hypomagnesemia was 4.5%, 17.7% and 41.3% in the non-nephropathy, microalbuminuria and macroalbuminuria groups respectively. Subgroups with higher urine ACR reported lower mean serum magnesium levels which was statistically significant (p=0.001). These findings can be as a result of decline in magnesium reabsorption from the kidneys as the nephropathy progresses. There was also a rising trend seen in HbA1c in the 3 subgroups as the kidney function worsened, which was statistically significant (p=0.04).

In this study, there was a weak negative correlation between serum magnesium and glycaemic status (HbA1c) which was not statistically significant (r=-0.04, p=0.62). Similar studies were conducted in Turkey [18,23], Netherlands [19] and India [24] which suggested statistically significant correlation between serum magnesium and HbA1c in diabetic patients between -0.11 to -0.731 [Table/Fig-9] [18,19,23,24]. In this study, there was also a negative correlation between serum magnesium and nephropathy status (urine ACR) which was statistically significant (r=-0.17, p=0.02).

Previous studies on correlation between HbA1c and serum magnesium [18,19,23,24].

YearPlaceAuthorsTotal number of patientsPearson correlation co-efficient (r)p-value
2015Sakarya, TurkeyArpaci D et al., [18]673-0.110.004
2017Nijmegan, NetherlandsKurstjens S et al., [19]395-0.1230.001
2019Ankara, TurkeyIlkay HO et al., [23]119-0.3090.001
2018Asaripallam, IndiaMarshnil RW and Mythili C [24]130-0.7310.00

Limitation(s)

This study was hospital-based and not community-based. The serum magnesium, HbA1c and urine ACR were estimated in hospitalised patients of Type 2 Diabetes Mellitus. This study population might not be a complete representation of the patients living with Type 2 Diabetes Mellitus in the community.

Conclusion(s)

There was a weak negative correlation between serum magnesium and glycaemic status (HbA1c) which was not statistically significant. There was a negative correlation between serum magnesium and nephropathy status (urine ACR) which was found to be statistically significant. Further studies on role of oral supplementation of magnesium in improving the glycaemic status would help us to explore clinical utility of magnesium in counteracting insulin resistance in diabetic patients.

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