Effect of Vitamin D Supplementation on Glucose Control and Inflammatory Response in Type II Diabetes: A Double Blind, Randomized Clinical Trial.

BACKGROUND: Diabetes mellitus (DM) and vitamin D deficiency are major health concerns around the world. Evidence suggests a possible role of vitamin D in improvement of insulin secretion and sensitivity.
OBJECTIVES: We assessed whether vitamin D supplementation could be used in vitamin D deficient-type II diabetes to improve glucose metabolism, components of metabolic syndrome (MetS) and specific inflammatory biomarkers. PATIENTS AND METHODS: A double blind, randomized clinical trial was conducted in King Khalid University Hospital, Saudi Arabia to evaluate the effect of cholecalciferol supplementation on glycemic control, MetS components and specific inflammatory biomarkers including tumor necrosis factor-alpha (TNF-α), Interleukin (IL-6), leptin, adiponectin and vascular cell adhesion molecule-1 (VCAM-1). Twenty-two patients with type II diabetes with insulin resistance, glycated hemoglobin (HbA1c) ≥ 6 (42 mmol/mol) and serum 25(OH)D < 50 nmol/L were randomized using a computer program to receive either supplementation with cholecalciferol (5000 IU/day) or placebo for 12 weeks. The primary outcome was change in HbA1c levels from baseline.
RESULTS: Median [IQR] 25(OH)D levels increased significantly in the vitamin D group as 58.1 [48, 67.3] nmol/L (P = 0.002). There was no significant difference in the change of HbA1c between the groups (P = 0.5) with a decrease of -0.1% [-1, 0.5] in the vitamin D group and an increase of 0.15% [0.1, 0.2] in the placebo group. A significant improvement was observed in the homeostasis model of assessment of β-cell activity (HOMA-%B) (P = 0.03) with vitamin D supplementation compared to baseline.
CONCLUSIONS: Vitamin D repletion for 12 weeks increased serum vitamin D concentrations and improved β-cell activity in vitamin D-deficient type II diabetes with no significant changes in HbA1c or insulin sensitivity.

RCT Entities:   Population Interventions Outcomes

1. Background

Diabetes mellitus (DM) is a major health care challenge around the world. Saudi Arabia is among the world’s tenth highest countries for DM prevalence (1). According to the International Diabetes Federation, 13.6% of the Saudi population between 20 and 79 years old have diabetes (1). Vitamin D deficiency is another major health concern associated with a number of extra-skeletal diseases including DM (2). Vitamin D responsive element (VDRE) has been identified in the promoter region of insulin receptor gene in human (3). Mice lacking vitamin D receptors (VDR) displayed an impairment of insulin secretion and sensitivity (4). The anti-inflammatory activity of vitamin D plays an important role in insulin secretion and sensitivity, since inflammation is considered a driving factor for insulin resistance (IR), metabolic syndrome (MetS), DM and their micro- and macro-vascular complications (5). Cytokines such as CRP, IL-6, IL-8, TNF-α, and IL-18 and hyperglycemia are known as activators for expression of adhesion molecules, vascular cell adhesion molecules-1 (sVCAM-1), intercellular adhesion molecules-1 (sICAM-1), E-selectin and P-selectin (6, 7). Activation of the latter molecules is an early step in the formation of vascular atherosclerosis and their plasma levels can be used clinically as targets for therapy and predictors for complication in DM management (5). Cross-sectional studies in humans demonstrated a negative correlation between vitamin D and HbA1c levels (8, 9). Daily consumption of vitamin D-fortified yogurt (containing vitamin D3 1000 IU/day and calcium (Ca) 300 mg/250 mL) or vitamin D + Ca-fortified yogurt (containing vitamin D3 1000 IU/day and Ca 500 mg/250 mL for 12 weeks significantly decreased HbA1c, homeostasis model assessment of insulin resistance (HOMA)-IR, waist circumference and BMI in comparison to a daily consumption of plain yogurt (containing no vitamin D3 and Ca 300 mg/250 mL) (10). In a trial of ten women with diabetes, daily supplementation of 1332 IU cholecalciferol for one month increased the first phase insulin secretion significantly (11). On the other hand, a single dosage of oral cholecalciferol (100000 or 200000 IU) for patients with type II diabetes showed no significant changes in blood glucose, insulin secretion or sensitivity (12).

2. Objectives

In the current pilot study, we hypothesized that vitamin D supplementation in vitamin D deficient-type 2 diabetes would have beneficial effects on glucose metabolism, components of MetS and inflammatory biomarkers including IL-6, TNF-α, adiponectin and leptin.

3. Patients and Methods

This was a randomized, placebo-controlled, double-blind trial. Adults (aged 21 to 75 years) with type II diabetes and normal renal function, glycated hemoglobin (HbA1c) ≥ 6 (42 mmol/mol), hypovitaminosis D (serum 25(OH)D < 20 ng/mL) and insulin resistance (HOMA-IR ≥ 2) were screened for the study in the primary care clinic at King Khalid University Hospital (KKUH), Riyadh, Saudi Arabia. The present study was approved by the Institutional Review Board at KKUH and registered at the Australian New Zealand Clinical Trial Registry (ACTRN12612000714886). A written, informed consent was obtained from all patients prior to their enrollment. Patients receiving stable oral hypoglycemic drug regimen for at least 30 days prior to screening were recruited. Subjects receiving lipid lowering drug or antihypertensive drug should have given a stable regimen for at least 30 days. Exclusion criteria were chronic liver disease, proteinuria (> 3.5 g/24 hours), autoimmune or inflammatory diseases, myocardial infarction within the last six months, congestive heart failure, cerebrovascular accident, gastrointestinal malabsorption disorders, hypercalcemia (serum Ca2+ > 10.2 mg/dL), primary parathyroid disorder or using active vitamin D analogs, nutritional vitamin D agents > 800 IU/day, glucocorticoid, antiepileptics, carbamazepine, digoxin, cholestyramine or orlistat. Because exogenous insulin might affect the HOMA model, we excluded subjects who used insulin.

3.1. Randomization and Masking

Eligible patients (n = 22) were randomly assigned using a simple computer-generated program randomization list to either supplementation with cholecalciferol (5000 IU/day) or placebo for 12 weeks. The placebo was matched to the cholecalciferol capsules for shape, size and color (Bio-Tech-Pharmacal, Fayetteville, AR, USA). Patients and providers were blinded to treatment randomization. The study subjects were instructed not to change the type or dosage of any of their medications throughout the study.

3.2. Procedures

There were three study visits during the 12-week treatment phase. Fasting blood samples and anthropometric measurements were obtained at each visit. Waist circumference (WC) was measured at the midpoint level between the iliac crest and the lowest rib at the end of expiration. The samples were kept at -80°C until the day of analysis. Serum 25(OH)D and 1,25(OH)2D3 were measured using the LIASON® chemiluminescent immunoassay (CLIA) and liquid chromatography-tandem mass spectrometry (LC-MS/MS), respectively. Insulin and parathyroid hormone (PTH) were measured using the Cobas® electrochemiluminescence immunoassay (ECLIA, USA), whereas parathyroid hormone-related peptide (PTHrP) (Biotang, Inc., cat# HU9321), vascular cell adhesion molecule-1 (VCAM-1) (R&D Systems, Inc., cat# DVC00) and osteoprotegerin (OPG, R&D Systems, Inc., cat# DY805) were measured using enzyme-linked immunosorbent assay (ELISA) kits. Plasma concentrations of adiponectin, tumor necrosis factor-alpha (TNF-α), interleukin (IL-6), and leptin (R&D systems, Inc., catalog # FCST08) were determined using a multiplex human obesity custom premix kit. The homeostasis model assessment (HOMA) was used to calculate insulin resistance (HOMA-IR) [FPI x FPG/22.5] and β-cell’s function (HOMA-%B) [20 × FPI) / (FPG - 3.5)], where FPI is fasting plasma insulin concentration (mU/L) and FPG is fasting plasma glucose (mmol/L).

3.3. Statistical Analysis

A sample of 14 patients (7 per group) was required to detect a significant change of 0.5% in HbA1c level after vitamin D supplementation with an 80% power and a two-sided 5% significance level. This was based on the assumption that the standard deviation of HbA1c is 0.3 according to a study performed on 92 Arabic patients with diabetes in Kuwait (13). To allow for dropouts, 22 patients were recruited and randomly assigned to vitamin D (n = 11) or placebo groups (n = 11). Statistical analysis was performed using StatCrunch software. Normally distributed data were reported as means and standard deviations (SD), whereas non-normally distributed data were reported as median and interquartile range [IQR]. Non-parametric tests were used to compare the groups (Mann-Whitney U test) and to compare changes in measures within the groups (Wilcoxon-Signed Rank). A two-tailed P value of < 0.05 was considered statistically significant.

4. Results

Of 22 patients, 20 completed the study (15 males and 5 females). Two patients left the study due to moving overseas (n = 1) or personal reasons (n = 1). The mean ± SD ages (Vitamin D group: 54.8 ± 9.16 years; placebo group: 55 ± 11.99 years) and duration of diabetes (Vitamin D group: 9.3 ± 5.62 years; and placebo group: 7.4 ± 5.08 years) were not significantly different between the two groups. Compliance to study medications, assessed by counting unused capsules in each visit, was approximately 97% in the two groups. At baseline, there was a significant positive correlation between HOMA-IR and BMI (r = 0.4653, P = 0.04) and an inverse correlation between HOMA-IR and adiponectin (r = -0.4543, P = 0.04) in the two groups. Table 1 shows baseline values and changes after 12 weeks in the two groups. Serum 25(OH)D increased significantly in the vitamin D group as 58.1 [48, 67.3] nmol/L at week 12 (P = 0.002). The vitamin D group was associated with a significant increase in 1,25(OH)2D3 as 0.16 [0.04, 0.23] nmol/L (P = 0.002) and a significant increase in Ca2+ (P = 0.004) as 1.22 [1.0, 1.4] mmol/L. There was no significant difference in the change of HbA1c between the groups (P = 0.52), with a decrease of -0.1% [-1, 0.5] in the vitamin D group and an increase of 0.15% [0.1, 0.2] in the placebo group. In the vitamin D group, HOMA-%B increased significantly by 35.9% [-3.11, 42.67] (P = 0.03) (Figure 1) and insulin increased by 1.82 [-0.78, 7.61] µU/mL (P = 0.11) compared with baseline. Changes in HOMA-IR, BMI, WC, diastolic BP (DBP) and unpublished lipid profile (HDL, LDL, TG, and cholesterol) were not significant within, and did not differ, between the groups. Systolic blood pressure (SBP) decreased by -4.5 [-23, 7] mmHg (P = 0.22) in the vitamin D group and increased by 1 [-2, 2] mmHg (P = 0.47) in the placebo group. The difference in the change of SBP between the groups was not statistically significant (P = 0.09). A significant reduction of -6.6 [-17, -2.42] pg/mL (P = 0.01) in TNF-α was found in the placebo group. However, there was no significant difference in the changes of TNF-α between the groups (P = 0.08). Changes in OPG, VCAM-1, adiponectin, IL-6 and leptin were not significant within, and did not differ between the groups (data not shown).

Table 1.

Changes From Baseline to Endpoint Measures of Outcomes Within Vitamin D and Placebo Groups and Between the Groups (Median Values and 25th, 75th Percentiles) [a]

	Vitamin D (n = 10)			Placebo (n = 10)			P Value (Difference Between Groups)
	Median	25th, 75th Percentiles	P value (Difference Within Group)	Median	25th, 75th Percentiles	P Value (Difference Within Group)
25(OH)D, nmol/L
Baseline	25.35	22.3, 28.9		38.65	23.7, 39.7
End	91.1	74.6, 99.3		29.4	23.1, 34.2
Change: End - Baseline	58.05	48, 67.3	0.002	-6.85	-12, 0.6	0.23	< 0.0001
1,25(OH) 2 D3, nmol/L
Baseline	0.14	0.07, 0.22		0.10	0.08, 0.14
End	0.31	0.26, 0.38		0.13	0.09, 0.16
Change: End - Baseline	0.16	0.04, 0.23	0.002	0.002	-0.03, 0.03	0.85	0.0007
A1c, %
Baseline	7.95	6.9, 9.4		6.9	6.4, 7.3
End	7.85	6.6, 9.8		6.95	6.7, 7.5
Change: End - Baseline	-0.1	(-1, 0.5)	1	0.15	0.1, 0.2	0.066	0.52
FBG, mmol/L
Baseline	9.4	8.2, 11		8.05	6.8, 9.8
End	8.9	6.2, 11		7.5	6.5, 8.2
Change: End – Baseline	-0.75	-3, 0.8	0.25	-0.55	-1.3, -0.3	0.0059	0.97
Insulin, μU/mL
Baseline	8.11	6.94, 10.47		10.94	6.95, 12.83
End	10.56	8.34, 15.58		11.68	7.54, 15.9
Change: End - Baseline	1.82	-0.78, 7.61	0.11	1.16	-1.58, 2.67	0.375	0.44
HOMA-IR
Baseline	3.17	2.56, 5.41		3.82	2.48, 4.94
End	4.13	2.3, 6.83		3.72	2.76, 4.87
Change: End – Baseline	0.35	-1.13, 1.36	0.77	-0.07	-0.67, 0.45	0.7	0.63
HOMA-%B, %
Baseline	32.73	24.87, 43.72		47.12	30.15, 80.19
End	65.82	34.54, 86.08		55.68	31.23, 112.04
Change: End - Baseline	35.9	(-3.11, 42.67)	0.03	7.3	(-2.73, 20.84)	0.08	0.48
SBP, mmHg
Baseline	144.5	138, 155		137	122, 144
End	133	122, 147		139	124, 150
Change: End - Baseline	-4.5	-23, 7	0.22	1	-2, 2	0.47	0.09
DBP, mmHg
Baseline	78.5	67, 88		74	69, 83
End	77	62, 89		74	66, 80
Change: End - Baseline	-2.5	-7, 5	0.36	-3	-5, 1	0.2	0.88
BMI, Kg/m 2
Baseline	28.8	26.7, 30.88		33.35	27.34, 35.56
End	28.33	27.24, 31.58		33.13	27.42, 36.44
Change: End - Baseline	0	-0.35, 0.55	0.64	0.39	-0.69, 0.68	0.7	0.68
WC, cm
Baseline	109.5	103.5, 113		114	105.5, 124
End	108.25	101, 112		110.5	102, 120
Change: End - Baseline	-1	-3, 0.5	0.33	-2.75	-4, 0	0.14	0.24
Corrected Ca 2+ , mmol/L
Baseline	7.86	7.2, 10.72		9.6	6.6, 11.84
End	9.46	8.6, 11.8		8.2	7.2, 10.92
Change: End - Baseline	1.22	1, 1.4	0.004	0.08	(-2.28, 1.08)	0.77	0.06
Albumin, g/L
Baseline	42	38, 43		39.5	36, 43
End	40	38, 41		41	38, 42
Change: End - Baseline	-1.5	-2, -1	0.013	-0.5	-2, 2	0.95	0.16
Alkaline Phosphatase, U/L
Baseline	114.5	105, 136		86.5	74, 106
End	111.5	100, 126		88.5	76, 113
Change: End - Baseline	-4.5	-10, 2	0.097	-4	-7, 10	0.8	0.47
TNF-α, pg/mL
Baseline	53.87	51.46, 62.27		59.28	55.07, 70.63
End	51.46	47.83, 57.48		52.66	47.83, 59.88
Change: End - Baseline	-0.6	-8.46, 4.82	0.74	-6.6	-17, -2.42	0.01	0.08

aAbbreviations: FBG, fasting blood glucose; HOMA-IR, homeostasis model assessment for insulin resistance; SBP, systolic blood pressure; DBP, diastolic blood pressure; WC, waist circumference; TNF-α, tumor necrosis factor-alpha

Figure 1.

Changes in HOMA-%B Medians From Baseline to Week 12 in the Two Groups

5. Discussion

We found that supplementation with 5000 IU/day cholecalciferol for 12 weeks effectively increased the 25(OH)D from deficient to sufficient levels (i.e. from < 50 to > 75 nmol/L as defined by the Institute of Medicine) (14). Moreover, increase in 25(OH)D increased the concentration of 1,25(OH)2D3 significantly. The correction of 25(OH)D deficiency in our study was associated with a significant improvement in β-cell activity (HOMA-%B), but not HbA1c levels or insulin resistance. The HOMA-%B model has been used clinically and in diabetic research as a simple tool to assess the effect of treatment since the improvement in HOMA-%B reflects an improvement in the ability of pancreatic beta cells to produce insulin. Improvement in β-cell function after vitamin D repletion could be explained by both genomic and nongenomic actions of vitamin D. Insulin producing β-cells express both nuclear and membranous receptors for 1,25(OH)2D3. The nuclear receptors modulate the genomic insulinotropic actions of vitamin D, whereas the membrane receptors enhance the Ca2+ influx in β-cells, an essential step for glucose-induced insulin secretion (15). Vitamin D mediates the Ca2+ dependent endopeptidase activities to convert pro-insulin to insulin. Interestingly, β-cells have the ability to hydroxylate 25(OH)D to the active form 1,25(OH)2D3 through its own 1-α hydroxylase enzyme (16). Improvement in β-cell activity in our study was associated with a non-statistically significant increase in serum insulin levels. Similar improvement in HOMA-%B and insulin secretion was noted in another study of Arab participants after daily supplementation with 2000 IU cholecalciferol for 12 months (17). Despite lower levels of BP, HbA1c, FBG and lipid profile in the placebo group at baseline compared to the vitamin D group, which may indicate a possible better health status of the former group, we showed a median reduction of 4.5 mmHg in the SBP after 12 weeks of vitamin D supplementation. Although the difference in the changes of SBP between vitamin D and placebo groups was not statistically significant (P = 0.09), reduction may be of clinical significance. Antihypertensive activity of vitamin D could be related to negative regulatory effect of vitamin D on renin production (18). General healthier status of the placebo group as abovementioned could explain the positive response in both FBG and TNF-α in this group. Moreover, we did not control time of day that blood was collected or prior exercise status for our study subjects, both of which are factors shown to influence FBG levels (19). The absence of correlation between changes in TNF-α levels and HOMA-%B in the two groups is a thought-provoking finding. This may indicate that beneficial effect of vitamin D on beta cell function is independent from anti-inflammatory activities of vitamin D and such speculation needs to be studied further. Limitations of our study were the small sample size and short duration of vitamin D supplementation, which might be insufficient to show significant changes in insulin sensitivity and HbA1c. Von Hurst et al. showed no improvements in insulin sensitivity until six months of cholecalciferol supplementation (20). However, three to four weeks of vitamin D supplementation was sufficient to improve insulin secretion in other studies (11, 21). The strengths of the present study were its prospective, double-blind, and randomized design with a placebo group, inclusion of only vitamin D deficient type II diabetes with insulin resistance, achieving optimal vitamin D status in the vitamin D group at the end of study, stable treatment regimen throughout the study and objective assessment of endpoints and compliance to medication. Vitamin D deficiency is highly prevalent in Saudi population including those with diabetes (22). Vitamin D supplementation may positively influence β-cell function in patients with type II diabetes who are vitamin D-deficient. Future studies examining the benefits of vitamin D correction in type II diabetes are warranted to confirm the true metabolic effects of vitamin D supplementation.