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Vitamin D supplementation reduces insulin resistance in South Asian women living in New Zealand who are insulin resistant and vitamin D deficient – a randomised, placebo-controlled trial

Published online by Cambridge University Press:  28 September 2009

Pamela R. von Hurst
Affiliation:
Institute of Food, Nutrition and Human Health, Massey University, Private Bag 102 904, North Shore Mail Centre, Auckland, New Zealand
Welma Stonehouse
Affiliation:
Institute of Food, Nutrition and Human Health, Massey University, Private Bag 102 904, North Shore Mail Centre, Auckland, New Zealand
Jane Coad
Affiliation:
Institute of Food, Nutrition and Human Health, Massey University, Palmerston North, New Zealand
Corresponding
E-mail address:
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Abstract

Low serum 25-hydroxyvitamin D (25(OH)D) has been shown to correlate with increased risk of type 2 diabetes. Small, observational studies suggest an action for vitamin D in improving insulin sensitivity and/or insulin secretion. The objective of the present study was to investigate the effect of improved vitamin D status on insulin resistance (IR), utilising randomised, controlled, double-blind intervention administering 100 μg (4000 IU) vitamin D3 (n 42) or placebo (n 39) daily for 6 months to South Asian women, aged 23–68 years, living in Auckland, New Zealand. Subjects were insulin resistant – homeostasis model assessment 1 (HOMA1)>1·93 and had serum 25(OH)D concentration < 50 nmol/l. Exclusion criteria included diabetes medication and vitamin D supplementation >25 μg (1000 IU)/d. The HOMA2 computer model was used to calculate outcomes. Median (25th, 75th percentiles) serum 25(OH)D3 increased significantly from 21 (11, 40) to 75 (55, 84) nmol/l with supplementation. Significant improvements were seen in insulin sensitivity and IR (P = 0·003 and 0·02, respectively), and fasting insulin decreased (P = 0·02) with supplementation compared with placebo. There was no change in C-peptide with supplementation. IR was most improved when endpoint serum 25(OH)D reached ≥ 80 nmol/l. Secondary outcome variables (lipid profile and high sensitivity C-reactive protein) were not affected by supplementation. In conclusion, improving vitamin D status in insulin resistant women resulted in improved IR and sensitivity, but no change in insulin secretion. Optimal vitamin D concentrations for reducing IR were shown to be 80–119 nmol/l, providing further evidence for an increase in the recommended adequate levels. Registered Trial No. ACTRN12607000642482.

Type
Full Papers
Copyright
Copyright © The Authors 2009

There is mounting interest in the role of vitamin D in the aetiology of type 2 diabetes, and the most commonly preceding conditions, reduced insulin sensitivity and compromised β-cell function.

Low serum 25-hydroxyvitamin D (25(OH)D) concentrations have been shown to correlate with impaired glucose tolerance and an increased risk of type 2 diabetes(Reference Boucher, Mannan and Noonan1Reference Mattila, Knekt and Mannisto5), while a correlation between hypovitaminosis D and insulin resistance (IR) has been identified in pregnant women and obese adolescents(Reference Maghbooli, Hossein-Nezhad and Karimi6, Reference Alemzadeha, Kichlerb and Babara7). A 10-year prospective study identified an inverse relationship between baseline serum 25(OH)D concentrations and later risk of IR(Reference Forouhi, Luan and Cooper8). Administration of supplemental vitamin D to subjects with elevated blood glucose levels has resulted in an improvement in insulin secretion(Reference Kumar, Davies and Zakaria9, Reference Borissova, Tankova and Kirilov10), and similar improvements have been observed in vitamin D-deficient subjects following supplementation(Reference Boucher, Mannan and Noonan1, Reference Gedik and Akalin11).

Tai et al. (Reference Tai, Need and Horowitz12) found no improvement in glucose tolerance following the administration of two vitamin D doses (2500 μg; 100 000 IU) with an interval of 2 weeks to thirty-seven non-diabetic, vitamin D-deficient adults. Nagpal et al. (Reference Nagpal, Pande and Bhartia13) reported a randomised, controlled trial of vitamin D3, three fortnightly doses of 3000 μg (120 000 IU) or placebo, in centrally obese Indian men. The subjects were not necessarily insulin resistant, but there was some improvement in postprandial insulin sensitivity following supplementation. A recent systematic review and meta-analysis on the role of vitamin D and calcium in type 2 diabetes conclude that ‘there appears to be a relationship’ but due to the paucity of data, an understanding of the mechanisms is incomplete(Reference Pittas, Lau and Hu14).

To date, there have been no randomised, controlled trials with vitamin D supplementation of a dose sufficient to raise serum 25(OH)D to >80 nmol/l in vitamin D-deficient, non-diabetic, insulin-resistant subjects. It has been shown that a dose of vitamin D>50 μg (2000 IU) per day is required to raise and maintain serum concentration to 80 nmol/l(Reference Vieth, Bischoff-Ferrari and Boucher15). However, the increase in serum levels is related to baseline concentration, and where a patient is severely deficient ( < 12·5 nmol/l), a higher dose may be required(Reference Heaney, Davies and Chen16). Earlier concerns about the toxic effects of high doses of supplemental vitamin D have been allayed by safety and efficacy tests, which have demonstrated that doses of 100 and 250 μg (4000 and 10 000 IU) per day for 5–6 months resulted in no toxic effects(Reference Heaney, Davies and Chen16, Reference Vieth, Chan and MacFarlane17).

The population of interest in the present study is women of South Asian origin living in Auckland, New Zealand. There is a threefold higher prevalence of self-reported diabetes in South Asians living in New Zealand compared with the general population(18), and we have previously reported a prevalence of hypovitaminosis D of 84 % in South Asian women(Reference Von Hurst, Stonehouse and Kruger19).

Aim

The aim was to investigate the effect of improved vitamin D status on markers of metabolic syndrome, primarily IR, in South Asian women who were insulin resistant and vitamin D deficient.

Method

The study protocol is described in greater detail elsewhere(Reference Von Hurst, Stonehouse and Matthys20). In brief, the study design was a randomised, placebo-controlled, double-blind trial with 100 μg (4000 IU) vitamin D3 (cholecalciferol) per day (four capsules of 25 μg (1000 IU) each) or four capsules of placebo per day for 6 months. Women of South Asian origin (n 235) were recruited and screened for hypovitaminosis D (serum 25(OH)D < 50 nmol/l) plus IR (homeostasis model assessment, HOMA-IR ≥ 1·93) and/or TAG/HDL cholesterol ratio ≥ 3·0. There are no recognised HOMA-IR cut-offs for this population, and the rather arbitrary selection of 1·93 was based on the findings of the Chennai Urban Population Study in India where the upper quartile was found to have a HOMA-IR score ≥ 1·93(Reference Deepa, Shanthirani and Premalatha21). An elevated TAG/HDL ratio has been identified as a strong predictor of IR and metabolic syndrome(Reference Reaven22). Exclusion criteria included fasting serum glucose (FSG) ≥ 7·2 mmol/l, medication for diabetes and vitamin D supplementation ≥ 25 μg (1000 IU) per day.

Subjects were matched into pairs by age and BMI. Randomisation of the vitamin D/placebo capsules and allocation to the members of each pair were performed by Blackmores Ltd using nQuery Advisor®, version 6.0 (Statistical Solutions, Cork, Ireland). Randomisation and allocation were fully concealed from the researchers until after statistical analysis of the data.

Fasting blood samples and anthropometric measurements were obtained at baseline and the end of the study. The intervention in the original cohort commenced in July 2007, which is mid-winter in New Zealand, and a second small cohort (n 7) commenced in October 2007 following the early loss of subjects from the study (see Results section). Subjects were recalled for their final blood test 6 months later i.e. January 2008 (mid-summer) and April 2008. Subjects were also recalled for a blood test at 3 months. This was primarily to check for adverse effects in response to the high dose of vitamin D supplementation. Serum Ca results were immediately checked for abnormality by a colleague not associated with the study, and results were entered into the database at the end of the study. Subjects were advised to contact research staff immediately if they suspected a reaction to the supplements.

The original HOMA1 model for IR was used for subject selection as explained above(Reference Matthews, Hosker and Rudenski23). This model utilises a simple linear equation based on pairing FSG and fasting serum insulin to establish a measure for IR: HOMA1-IR = (fasting serum insulin × FSG)/22·5. The technique is simple and inexpensive with relatively low subject burden, and has been shown to correlate well with the glucose clamp in predicting insulin sensitivity(Reference Bonora, Targher and Alberiche24, Reference Wallace, Levy and Matthews25).

The revised HOMA2 model was utilised to assess outcomes of the intervention. This is a computer model consisting of non-linear empirical equations that, when solved, allow the determination of insulin sensitivity (HOMA2 %S) from FSG and fasting serum insulin, and β-cell function (HOMA2 %B) from paired FSG and C-peptide. C-peptide is a reliable marker for insulin secretion as, unlike insulin, it is not taken up by the liver(Reference Wallace, Levy and Matthews25). Both β-cell function and insulin sensitivity are reported as a percentage, where 100 % is normal(Reference Levy, Matthews and Hermans26). IR is the reciprocal of percentage sensitivity, and 1·0 is normal.

Methods for all measurements and laboratory analysis of FSG, fasting serum insulin, lipid profile, high sensitivity C-reactive protein, Ca and serum 25(OH)D are reported in von Hurst et al. (Reference Von Hurst, Stonehouse and Matthys20). C-peptide was measured in EDTA plasma samples stored at − 80°C, by Canterbury District Health Board Laboratory (Christchurch, New Zealand), performed on the automated Roche Elecsys 2010 analyser, CV (within batch) of 2·4 % at 620 pmol/l. Insulin and glucose were measured by LabPlus (Auckland, New Zeland). Insulin method: micro-particle enzyme immunoassay technology (Abbott Diagnostics, Abbott Park, IL, USA); intra-assay CV 4·0 % at 57·6 pmol/l (8·3 mU/l); inter-assay CV 4·5 % at 58·3 pmol/l (8·4 mU/l). Glucose method: standard enzymatic colourimetric assay (Roche Diagnostics, Basel, Switzerland); intra-assay CV 0·8 % at 6·6 mmol/l; inter-assay CV 1·8 % at 6·6 mmol/l.

Statistical methods

It was calculated that forty-two subjects would be required for each arm of the trial to demonstrate a significant difference at 80 % power and 5 % significance. Power calculations were based on the results of a lifestyle intervention in obese women, which achieved a reduction in HOMA-IR of 0·98 (sd 0·77)(Reference Sari, Balci and Balci27). Serum 25(OH)D, high sensitivity C-reactive protein, insulin, glucose, plasma C-peptide and HOMA1 and 2 were not normally distributed and are reported as median (25th, 75th percentiles). Normally, distributed data are reported as means and standard deviations. Non-parametric tests were used to compare groups (Mann–Whitney U test), and to compare baseline and endpoint measures within groups (Wilcoxon). The Kruskal–Wallis test and post hoc tests plus Bonferroni adjustments were used to compare more than two independent groups or conditions, and the Friedman's ANOVA and post hoc tests plus adjustments to compare more than two related groups. A two-tailed P-value of < 0·05 was considered statistically significant. Pearson's correlations were used for normally distributed data, and Spearman's correlations used for non-parametric data.

Ethical approval

The present study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving human subjects were approved by the Massey University Human Ethics Board (Southern A), Reference no. 06/67. Written informed consent was obtained from all subjects.

Results

Two hundred and thirty-five women were recruited and screened for IR and hypovitaminosis D. One hundred and fourteen qualified for selection, and from those 106 women volunteered to take part in the intervention trial. Twelve were lost to the study due to becoming pregnant (n 3), moving overseas (n 4), perceived side effects (headaches and constipation; n 2) and medical practitioner prescribing vitamin D (n 3). Following the early loss of the above-mentioned subjects, the study was reopened for recruitment to ensure sufficient numbers. Seven women joined the RCT 4 months after the initial cohort – their numbers are included in the totals above. A further thirteen women could not be contacted/traced at the end of the trial. The baseline characteristics of this group of twenty-five women (eleven from the vitamin D group and fourteen from the placebo group) did not differ significantly from those participants who remained in the study.

The majority of participants (91 %) were Indian, with 6 % from Sri Lanka and 3 % from Pakistan. Of the participants, 79% had been in New Zealand for ≤ 10 years, and no relationship was seen between time in New Zealand and baseline 25(OH)D.

Baseline characteristics of the vitamin D and placebo groups are shown in Table 1. There were no significant differences between the groups at baseline in any of the measures reported. BMI did not change significantly in either group during the study. While there was no relationship between HOMA-IR and age, a positive correlation was seen between HOMA-IR and BMI at baseline (r 0·316, P = 0·004). No adverse effects were observed in the serum calcium results at 3 months.

Table 1 Baseline characteristics of trial participants

(Mean values and standard deviations*; median values and 25th, 75th percentiles)

HOMA-IR, homeostasis model assessment insulin resistance; LDL-C, LDL cholesterol; HDL-C, HDL cholesterol.

There were no significant differences between the groups in any of the variables reported above (for statistics between groups: non-parametric variables – Mann–Whitney U test; parametric variables – independent t test). Baseline 25(OH)D, fasting serum glucose (FSG), fasting serum insulin (FSI) and high sensitivity C-reactive protein (hs-CRP) are reported in Table 2.

* Data are normally distributed.

Data are not normally distributed.

Serum 25(OH)D concentrations increased significantly in the vitamin D-supplemented group, from 21 (11, 40) nmol/l at baseline to 93 (69, 103) nmol/l at 3 months and then declined to 80 (67, 94) nmol/l at 6 months. There was also a significant increase in the placebo group between 3 months at 21 (15, 36) nmol/l and 6 months at 29 (23, 46) nmol/l (P = 0·014). A significant inverse relationship was found between baseline concentrations of 25(OH)D and the change in serum 25(OH)D over 6 months in both the vitamin D (r − 0·349, P = 0·023) and placebo (r − 0·456, P = 0·004) groups. There was no relationship between change in vitamin D concentration and BMI.

Significant improvements were seen in insulin sensitivity, IR and fasting insulin (Table 2), with supplementation compared with placebo. There was a significant difference in the change in HOMA1-IR between groups (P = 0·03), with a decrease of − 0·25 (0·24, − 0·81) in the vitamin D-supplemented group and an increase of 0·36 (1·16, − 0·41) in the placebo group. Changes in FSG, HOMA2 %B, C-peptide, high sensitivity C-reactive protein, total cholesterol, TAG/HDL cholesterol ratio, HDL cholesterol and TAG were NS within, and did not differ between, groups. In the vitamin D-supplemented group, HOMA2 %S increased (P = 0·01), fasting insulin declined (P = 0·02) and overall IR decreased compared with baseline (P = 0·03). To eliminate regression toward the mean as a confounder, change was calculated by subtracting endpoint values from the mean of baseline and endpoint HOMA2 %S; the difference between groups remained significant (P = 0·003).

Table 2 Changes from baseline to endpoint measures of primary outcomes within vitamin D and placebo groups, and between groups

(Median values and 25th, 75th percentiles)

25(OH)D, 25-hydroxyvitamin D; HOMA2 %S, homeostasis model assessment computer model – percentage sensitivity; HOMA2 %B, HOMA2 – percentage β-cell function; HOMA2-IR, HOMA2 insulin resistance; FSI, fasting serum insulin; FSG, fasting serum glucose; hs-CRP, high sensitivity C-reactive protein. Columns 3 and 5 are the significance (P value) for the change within each group from baseline to endpoint. Column 6 is the significance of the difference between groups in the change for each variable. Non-parametric tests were used to compare groups (Mann–Whitney U test), and to compare baseline and endpoint measures within groups (Wilcoxon).

* 1 mU/l = 6·94 pmol/l.

Sixteen out of the forty-two women in the vitamin D group achieved serum 25(OH)D concentrations of >80 nmol/l at both the 3 and 6 month tests. In these women, HOMA2 %S increased from 60·1 (50·9, 70·5) at baseline to 66·4 (55·3, 84·5) at 3 months (P = 0·12), but the increase did not achieve significance until 6 months when HOMA2 %S reached 85·8 (47·3, 103·9; P = 0·013; Fig. 1).

Fig. 1 Changes in serum 25-hydroxyvitamin D (25(OH)D) (□) and HOMA2 %S () over time in subjects (n 16) whose endpoint serum 25(OH)D was >80 nmol/l. Mean value was significantly different from that at baseline: * P = 0·013, **P < 0·001. Y-axis values include both serum 25(OH)D (mmol/l) and HOMA2 %S where 100 % is ideal. The Friedman's ANOVA and post hoc tests with adjustments were used to compare more than two related groups.

Discussion

The present study demonstrates that supplementation with vitamin D in women who are both vitamin D deficient and insulin resistant can enhance insulin sensitivity if the dose is large enough and continued over a sufficient length of time. Recent studies investigating the effect of high dose (2500 and 3000 μg (100 000 and 120 000 IU) per fortnight) vitamin D supplementation on glucose homeostasis have reported inconclusive results(Reference Tai, Need and Horowitz12, Reference Nagpal, Pande and Bhartia13), but have supplemented over a shorter time period (4 or 6 weeks), and subjects have not necessarily been insulin resistant. The women participating in the present study had elevated HOMA-IR, the intervention was for 6 months, and although there was a trend towards improvement in insulin sensitivity (HOMA2 %S), after 3 months, no significant change was seen until 6 months (Fig. 1).

The wide range of endpoint serum 25(OH)D concentrations in the vitamin D group (10–119 nmol/l) suggests variable compliance. Subjects reported finding it difficult to consistently consume four capsules per day for 6 months. The decline in median serum levels from the 3-month tests to endpoint in the vitamin D group probably reflects compliance dropping off in the latter half of the study. Meanwhile, it is likely that the increase in serum 25(OH)D concentrations in the placebo group from mid-study is due to more incidental sun exposure and higher levels of UVB with the approach of summer, to which the supplement group would also have been exposed. We have previously reported a small increase in the 25(OH)D concentrations in South Asian women who were tested during late summer, compared with those tested during winter and spring(Reference Von Hurst, Stonehouse and Kruger19).

The method of administration of the supplement in the present study (daily dose) differed from the large fortnightly doses used in recent studies(Reference Tai, Need and Horowitz12, Reference Nagpal, Pande and Bhartia13) and the approved prescription dose in New Zealand of 1250 μg (50 000 IU) per month(28). While the larger, less frequent doses may be advantageous from a compliance perspective, daily doses have been shown to be more effective than weekly or monthly doses as measured by serum 25(OH)D, parathyroid hormone and bone markers(Reference Chel, Ooms and Popp-Snijders29). It is possible that a single, large bolus could have negative outcomes; Taylor & Wise(Reference Taylor and Wise30) treated three vitamin D-deficient individuals with type 2 diabetes with one intramuscular dose of 7500 μg (300 000 IU) of vitamin D2 and saw an increase in hyperglycaemia and lipidaemia(Reference Taylor and Wise30).

The significant inverse relationship between baseline concentration and increase in serum 25(OH)D suggests that baseline values influence the response to both cutaneous synthesis and supplementation. This is in agreement with other evidence that low baseline levels produce a steep dose-response slope in response to supplementation(Reference Heaney, Davies and Chen16, Reference Chel, Ooms and Popp-Snijders29, Reference Barger-Lux, Heaney and Dowell31), and is possibly due to feedback regulation, although synthesis of 25(OH)D in the liver is only loosely regulated(Reference Jones, Strugnell and Deluca32).

Previous vitamin D supplementation studies, especially those in diabetic subjects, have concentrated on the role of vitamin D in increased insulin secretion(Reference Borissova, Tankova and Kirilov10). There is also considerable evidence from animal studies that adequate 25(OH)D concentrations are required for normal insulin secretion(Reference Cade and Norman33Reference Johnson, Grande and Roche35).

Subjects in the present study were not diabetic, insulin secretion was not compromised and there was no change in C-peptide levels, suggesting that insulin secretion did not increase in response to supplementation. With the increase in serum 25(OH)D concentration in the vitamin D group, IR improved, driven by an upward shift in insulin sensitivity and a corresponding drop in fasting insulin as tissue extraction of insulin increased. Insulin sensitivity was significantly improved when the endpoint serum 25(OH)D concentrations exceeded 80 nmol/l. These findings support those of Chiu et al. (Reference Chiu, Chu and Go36) in a cross-sectional study, which suggested enhanced insulin sensitivity might be seen if 25(OH)D concentration was to be increased from 25 to 75 nmol/l. The same study also reported a subtle variation in β-cell response to an oral glucose tolerance test at different vitamin D concentrations(Reference Chiu, Chu and Go36).

There have been at least two mechanisms postulated for an increase in insulin sensitivity in response to improved vitamin D status – suppression of chronic inflammation and increased expression of the insulin receptor and/or proteins of the insulin-signalling cascade. A mild inflammatory state, marked by the presence of proinflammatory cytokines, is associated with obesity and IR. These cytokines, predominantly TNF-α and IL-6, are known to be released from adipose tissue(Reference Weisberg, McCann and Desai37), and increased serum concentrations are known to induce IR in multiple tissues(Reference Kershaw and Flier38). Vitamin D has recognised anti-inflammatory actions: it has been shown to dose dependently suppress the release of TNF-α and IL-6(Reference Schleithoff, Zittermann and Tenderich39, Reference Muller, Haahr and Diamant40) while up-regulating synthesis of the anti-inflammatory cytokine IL-10(Reference Schleithoff, Zittermann and Tenderich39, Reference Canning, Grotenhuis and Wit41), thus potentially partly counteracting the inflammatory consequences of increased adiposity. Plasma matrix metalloproteinases (MMP) are also inflammatory markers and are associated with vascular damage and unstable angina. MMP2 and MMP9 have been shown to be inversely correlated with vitamin D status, and reduced with vitamin D supplementation(Reference Timms, Mannan and Hitman42).

CRP is considered to be a useful biomarker for the presence of TNF-α and IL-6. In the present study, we measured only high sensitivity C-reactive protein; baseline levels were within the normal range in each group and the reduction following supplementation was NS. Participants, although overweight, were not obese and mean waist/hip ratio did not exceed 0·80. These characteristics are similar to those found in women of other ethnicities, and in centrally obese Indian men(Reference Nagpal, Pande and Bhartia13, Reference Kelley-Hedgepeth, Lloyd-Jones and Colvin43). It is conceivable that the inflammatory effects of increased adiposity were not a major cause of their IR; thus, the anti-inflammatory action of vitamin D is unlikely to explain the improved IR observed in the present study. Future studies, especially in subjects susceptible to inflammation, should measure IL-6, TNF-α, IL-10 and possibly MMP2 and MMP9 to further explore this as a plausible mechanism.

A second potential mechanism for the influence of vitamin D on insulin sensitivity is in the regulation of the insulin-signalling cascade. A vitamin D response element has been identified on the human insulin receptor (IR) gene promoter(Reference Maestro, Davila and Carranza44), and in vitro treatment with 1,25-dihydroxyvitamin D3 resulted in increased transcription of the insulin receptor gene, together with improved insulin-dependent glucose transport(Reference Maestro, Campion and Davila45, Reference Maestro, Molero and Bajo46). Additionally, 1,25(OH)2D3 appears to stimulate glucose oxidation either via the activation of IR transcription or by a direct regulation of phosphatidylinositol 3-kinase activity(Reference Maestro, Molero and Bajo46). Murine studies have shown phosphatidylinositol 3-kinase and the insulin receptor substrate proteins to be important coordinators of insulin regulation(Reference Withers and White47). Insulin-stimulated activity of phosphatidylinositol 3-kinase and other proteins downstream of phosphatidylinositol 3-kinase such as protein kinase C has been shown to be impaired in obese and diabetic human subjects, and improved in obese subjects following weight loss(Reference Kim, Kotani and Ciaraldi48).

Conclusions

Insulin sensitivity did improve in these insulin-resistant women with vitamin D supplementation. No significant change was seen in insulin sensitivity until serum 25(OH)D concentrations reached levels above 80 nmol/l, and despite substantial increase in serum 25(OH)D concentration at 3 months, there was no significant change in insulin sensitivity until 6 months. The findings provide further evidence for an increase in the recommended adequate levels of 25(OH)D from 50 to 80 nmol/l(Reference Vieth, Bischoff-Ferrari and Boucher15), and suggest the importance of the long-term maintenance of adequate vitamin D levels. Differences in duration of studies could explain the disparity between the present results and those of Tai et al. (Reference Tai, Need and Horowitz12) and Nagpal et al. (Reference Nagpal, Pande and Bhartia13).

Future studies should examine the affect of vitamin D supplementation on both insulin secretion and sensitivity, as well as the potential anti-inflammatory effect of vitamin D, although this is possibly more relevant if the subjects are obese and inflammatory markers are elevated. Further investigation is required into the role of vitamin D in the expression of the insulin receptor gene and in the insulin-signalling pathway.

Interpersonal variations in sun exposure requirements, together with the accepted risks of excessive UV radiation, make it very difficult to give recommendations about sun exposure. Supplementation may be the best solution for some populations, especially those with darker skin living in temperate climates. However, as sufficiency of dose is critical, we need to learn more about the long-term safety and efficacy of high dose vitamin D supplements and the most effective way to deliver them.

Acknowledgements

The authors would like to thank the women of the Auckland South Asian community for their participation, encouragement and enthusiasm for the study. The authors also thank Dr R. Sood and staff of the Mount Roskill Medical Centre. Funding for the study was provided by the New Zealand Lottery Board (Lottery Health Grant) and New Zealand Department of Internal Affairs. Additional support was provided by Blackmores Pty Ltd, Australia, who supplied the vitamin D supplement and the placebo. P. R. v. H. is a recipient of the Massey University Doctoral Scholarship. The authors have no conflicts of interest to declare. Authors' contributions: P. v. R. H and J. C. designed the study, P. v. R. H. was study leader, W. S. designed lab protocols and advised on statistical analysis, all three authors participated in the writing of the present paper. We would also like to thank statistician, Dr Beatrix Jones for additional statistical advice.

References

1Boucher, B, Mannan, N, Noonan, K, et al. (1995) Glucose intolerance and impairment of insulin secretion in relation to vitamin D deficiency in East London Asians. Diabetologia 38, 12391245.CrossRefGoogle ScholarPubMed
2Isaia, G, Giorgino, R & Adami, S (2001) High prevalence of hypovitaminosis D in female type 2 diabetic population. Diabetes Care 24, 1496.CrossRefGoogle ScholarPubMed
3Lucas, JA, Bolland, MJ, Grey, AB, et al. (2005) Determinants of vitamin D status in older women living in a subtropical climate. Osteoporos Int 16, 16411648.CrossRefGoogle Scholar
4Scragg, R, Holdaway, I, Singh, V, et al. (1995 b) Serum 25-hydroxyvitamin D3 levels decreased in impaired glucose tolerance and diabetes mellitus. Diabetes Res Clin Pract 27, 181188.CrossRefGoogle ScholarPubMed
5Mattila, C, Knekt, P, Mannisto, S, et al. (2007) Serum 25-hyrdroxyvitamin D concentration and subsequent risk of type 2 diabetes. Diabetes Care 30, 25692570.CrossRefGoogle ScholarPubMed
6Maghbooli, Z, Hossein-Nezhad, A, Karimi, F, et al. (2008) Correlation between vitamin D3 deficiency and insulin resistance in pregnancy. Diabetes Metab Res Rev 24, 2732.CrossRefGoogle ScholarPubMed
7Alemzadeha, R, Kichlerb, J, Babara, G, et al. (2008) Hypovitaminosis D in obese children and adolescents: relationship with adiposity, insulin sensitivity, ethnicity, and season. Metabolism 57, 183191.CrossRefGoogle Scholar
8Forouhi, NG, Luan, Ja, Cooper, A, et al. (2008) Baseline serum 25-hydroxy vitamin D is predictive of future glycemic status and insulin resistance: The Medical Research Council Ely Prospective Study 1990–2000. Diabetes 57, 26192626.CrossRefGoogle ScholarPubMed
9Kumar, S, Davies, M & Zakaria, Y (1994) Improvement in glucose tolerance and beta-cell function in a patient with vitamin D deficiency during treatment with vitamin D. Postgrad Med J 70, 440443.CrossRefGoogle Scholar
10Borissova, A, Tankova, T, Kirilov, G, et al. (2003) The effect of vitamin D3 on insulin secretion and peripheral insulin sensitivity in type 2 diabetic patients. Int J Clin Pract 57, 258261.Google ScholarPubMed
11Gedik, O & Akalin, S (1986) Effects of vitamin D deficiency and repletion on insulin and glucagon secretion in man. Diabetologia 29, 142145.CrossRefGoogle ScholarPubMed
12Tai, K, Need, AG, Horowitz, M, et al. (2008) Glucose tolerance and vitamin D: effects of treating vitamin D deficiency. Nutrition 24, 950956.CrossRefGoogle ScholarPubMed
13Nagpal, J, Pande, JN & Bhartia, A (2009) A double-blind, randomized, placebo-controlled trial of the short-term effect of vitamin D3 supplementation on insulin sensitivity in apparently healthy, middle-aged, centrally obese men. Diabet Med 26, 1927.CrossRefGoogle ScholarPubMed
14Pittas, AG, Lau, J, Hu, FB, et al. (2007) Review: the role of vitamin D and calcium in type 2 diabetes. A systematic review and meta-analysis. J Clin Endocrinol Metab 92, 20172029.CrossRefGoogle ScholarPubMed
15Vieth, R, Bischoff-Ferrari, H, Boucher, BJ, et al. (2007) The urgent need to recommend an intake of vitamin D that is effective. Am J Clin Nutr 85, 649650.CrossRefGoogle ScholarPubMed
16Heaney, RP, Davies, KM, Chen, TC, et al. (2003) Human serum 25-hydroxycholecalciferol response to extended oral dosing with cholecalciferol. Am J Clin Nutr 77, 204210.CrossRefGoogle ScholarPubMed
17Vieth, R, Chan, P-CR & MacFarlane, GD (2001) Efficacy and safety of vitamin D3 intake exceeding the lowest observed adverse effect level. Am J Clin Nutr 73, 288294.CrossRefGoogle ScholarPubMed
18Ministry of Health, N.Z. (2006) Asian Health Chart Book 2006 Public Health Intelligence: Monitoring Report No. 4, p. 47. Wellington: Ministry of Health.Google Scholar
19Von Hurst, PR, Stonehouse, W, Kruger, MC, et al. (2007) Vitamin D status of South Asian women living in New Zealand (abstract). Asia Pac J Clin Nutr 16, S50.Google Scholar
20Von Hurst, PR, Stonehouse, W, Matthys, C, et al. (2008) Metabolic syndrome, vitamin D and bone status in South Asian women living in Auckland, New Zealand: a randomised, placebo-controlled, double-blind vitamin D intervention. BMC Public Health 8, 18.CrossRefGoogle ScholarPubMed
21Deepa, R, Shanthirani, SS, Premalatha, G, et al. (2002) Prevalence of insulin resistance syndrome in a selected South Indian population – the Chennai urban population study-7 (CUPS-7). Indian J Med Res 115, 118127.Google Scholar
22Reaven, GM (2005) The insulin resistance syndrome: definition and dietary approaches to treatment. Annu Rev Nutr 25, 391406.CrossRefGoogle Scholar
23Matthews, DR, Hosker, JP, Rudenski, AS, et al. (1985) Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28, 412419.CrossRefGoogle ScholarPubMed
24Bonora, E, Targher, G, Alberiche, M, et al. (2000) Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity. Diabetes Care 23, 5763.CrossRefGoogle ScholarPubMed
25Wallace, T, Levy, J & Matthews, D (2004) Use and abuse of HOMA modelling. Diabetes Care 27, 14871495.CrossRefGoogle Scholar
26Levy, JC, Matthews, D & Hermans, M (1998) Correct homeostasis model assessment (HOMA) evaluation uses the computer program. Diabetes Care 21, 21912192.CrossRefGoogle ScholarPubMed
27Sari, R, Balci, MK, Balci, N, et al. (2007) Acute effect of exercise on plasma leptin level and insulin resistance in obese women with stable caloric intake. Endocr Res 32, 917.CrossRefGoogle ScholarPubMed
28Medsafe New Zealand (2006) Medicine Data Sheets.http://www.medsafe.govt.nz/profs/Datasheet/SearchResult.asp (accessed 16 April 2009).Google Scholar
29Chel, V, Ooms, M & Popp-Snijders, C (1998) Ultraviolet irradiation corrects vitamin D deficiency and suppresses secondary hyperparathyroidism in the elderly. J Bone Miner Res 13, 12381242.CrossRefGoogle ScholarPubMed
30Taylor, A & Wise, P (1998) Vitamin D replacement in Asians with diabetes may increase insulin resistance. Postgrad Med J 74, 365366.CrossRefGoogle ScholarPubMed
31Barger-Lux, MJ, Heaney, RP, Dowell, S, et al. (1998) Vitamin D and its major metabolites: serum levels after graded oral dosing in healthy men. Osteoporos Int 8, 222.CrossRefGoogle ScholarPubMed
32Jones, G, Strugnell, SA & Deluca, HF (1998) Current understanding of the molecular actions of vitamin D. Physiol Rev 78, 11931231.CrossRefGoogle ScholarPubMed
33Cade, C & Norman, AW (1986) Vitamin D3 improves impaired glucose tolerance and insulin secretion in the vitamin D-deficient rat in vivo. Endocrinology 119, 8490.CrossRefGoogle ScholarPubMed
34Chertow, BS, Sivitz, WI, Baranestsky, NG, et al. (1983) Cellular mechanisms of insulin release: the effects of vitamin D deficiency and repletion on rat insulin secretion. Endocrinology 113, 15111518.CrossRefGoogle ScholarPubMed
35Johnson, J, Grande, J, Roche, P, et al. (1994) Immunohistochemical localization of the 1,25(OH)2D3 receptor and calbindin D28k in human and rat pancreas. J Clin Endocrinol Metab 267, E356E360.Google ScholarPubMed
36Chiu, KC, Chu, A, Go, VLW, et al. (2004) Hypovitaminosis D is associated with insulin resistance and beta cell dysfunction. Am J Clin Nutr 79, 820825.CrossRefGoogle ScholarPubMed
37Weisberg, S, McCann, D, Desai, M, et al. (2003) Obesity is associated with macrophage accumulation in adipose tissue. J Clin Invest 112, 17961808.CrossRefGoogle ScholarPubMed
38Kershaw, EE & Flier, JS (2004) Adipose tissue as an endocrine organ. J Clin Endocrinol Metab 89, 25482556.CrossRefGoogle ScholarPubMed
39Schleithoff, SS, Zittermann, A, Tenderich, G, et al. (2006) Vitamin D supplementation improves cytokine profiles in patients with congestive heart failure: a double-blind, randomized, placebo-controlled trial. Am J Clin Nutr 83, 754759.CrossRefGoogle ScholarPubMed
40Muller, K, Haahr, P, Diamant, M, et al. (1992) 1,25-dihydroxyvitamin D3 inhibits cytokine production by human blood monocytes at the post-transcriptional level. Cytokine 4, 506512.CrossRefGoogle ScholarPubMed
41Canning, M, Grotenhuis, K, Wit, Hd, et al. (2001) 1-Alpha, 25-dihydroxyvitamin D3 hampers the maturation of fully active immature dendritic cells from monocytes. Eur J Endocrinol 145, 351357.CrossRefGoogle ScholarPubMed
42Timms, PM, Mannan, N, Hitman, GA, et al. (2002) Circulating MMP9, vitamin D and variation in the TIMP-1 response with VDR genotype: mechanisms for inflammatory damage in chronic disorders? QJM 95, 787796.CrossRefGoogle ScholarPubMed
43Kelley-Hedgepeth, A, Lloyd-Jones, DM, Colvin, A, et al. (2008) Ethnic differences in C-reactive protein concentrations. Clin Chem 54, 10271037.CrossRefGoogle ScholarPubMed
44Maestro, B, Davila, N, Carranza, MC, et al. (2003) Identification of a vitamin D response element in the human insulin receptor gene promoter. J Steroid Biochem Mol Biol 84, 223230.CrossRefGoogle ScholarPubMed
45Maestro, B, Campion, J, Davila, N, et al. (2000) Stimulation by 1,25-dihydroxyvitamin D3 of insulin receptor expression and insulin responsiveness for glucose transport in U-937 human promonocytic cells. Endocr J 47, 383391.CrossRefGoogle ScholarPubMed
46Maestro, B, Molero, S, Bajo, S, et al. (2002) Transcriptional activation of the human insulin receptor gene by 1,25-dihydroxyvitamin D3. Cell Biochem Funct 20, 227232.CrossRefGoogle Scholar
47Withers, D & White, M (2000) Perspective: The insulin signaling system – a common link in the pathogenesis of type 2 diabetes. Endocrinology 141, 19171921.CrossRefGoogle ScholarPubMed
48Kim, Y, Kotani, K, Ciaraldi, T, et al. (2003) Insulin-stimulated protein kinase C lambda/zeta activity is reduced in skeletal muscle of humans with obesity and type 2 diabetes. Diabetes 52, 19351942.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Baseline characteristics of trial participants(Mean values and standard deviations*; median values and 25th, 75th percentiles†)

Figure 1

Table 2 Changes from baseline to endpoint measures of primary outcomes within vitamin D and placebo groups, and between groups(Median values and 25th, 75th percentiles)

Figure 2

Fig. 1 Changes in serum 25-hydroxyvitamin D (25(OH)D) (□) and HOMA2 %S () over time in subjects (n 16) whose endpoint serum 25(OH)D was >80 nmol/l. Mean value was significantly different from that at baseline: * P = 0·013, **P < 0·001. Y-axis values include both serum 25(OH)D (mmol/l) and HOMA2 %S where 100 % is ideal. The Friedman's ANOVA and post hoc tests with adjustments were used to compare more than two related groups.

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Vitamin D supplementation reduces insulin resistance in South Asian women living in New Zealand who are insulin resistant and vitamin D deficient – a randomised, placebo-controlled trial
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Vitamin D supplementation reduces insulin resistance in South Asian women living in New Zealand who are insulin resistant and vitamin D deficient – a randomised, placebo-controlled trial
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