Literature DB >> 32033527

Vitamin D supplementation improves SIRT1, Irisin, and glucose indices in overweight or obese type 2 diabetic patients: a double-blind randomized placebo-controlled clinical trial.

Peivasteh Safarpour1, Milad Daneshi-Maskooni2, Mohammadreza Vafa3, Mitra Nourbakhsh4, Leila Janani5, Mohsen Maddah6, Fatemeh-Sadat Amiri1, Fereshteh Mohammadi6, Homa Sadeghi7.   

Abstract

BACKGROUND: Vitamin D (VD) may increase sirtuin 1 (SIRT1) and subsequently PPAR-γ coactivator 1α (PGC-1α) and irisin levels and these improvements may reduce insulin resistance (IR). The aim was to assess the effects of vitamin D supplementation on SIRT1, irisin, and IR in overweight/obese type 2 diabetes (T2D) patients.
METHODS: Ninety T2D males and females were recruited as a clinical trial study (mean of age and body mass index (BMI) of intervention and placebo groups were 50.05 ± 10.17 and 50.36 ± 10.2 yrs. and 31.37 ± 3.4 and 30.43 ± 3.2 kg/m2, respectively). The inclusion criteria were T2D, VD deficient, BMI > 25 kg/m2, and serum HbA1c < 8.5%. The exclusion criteria were using vitamin and mineral supplements, having any acute disease, recent modifying dose or type of drugs. The supplementation was 50,000 IU/week VD or placebo for 8 weeks. The demographic characteristics, anthropometrics, dietary intakes and physical activity status, sun exposure status, fasting blood sugar (FBS) and insulin, glycosylated hemoglobin (HbA1c), irisin, SIRT1, 25-hydroxy D3 (25(OH)VD), homeostasis model assessment of insulin resistance (HOMA-IR), and quantitative insulin sensitivity check index (QUICKI) were determined. The significant P-value was ≤0.05.
RESULTS: The increase of serum VD, SIRT1, and irisin in the intervention group was significant (p < 0.001). HbA1c was decreased significantly by 1%. The changes in the other glucose indices (FBS, insulin, and IR) were non-significant.
CONCLUSIONS: VD supplementation may improve T2D by decreasing HbA1c and increasing SIRT1 and irisin in VD deficient T2D patients. Further trials are suggested. TRIAL REGISTRATION: Iranian Registry of Clinical Trials, IRCT201604202365N11. Registered 21/08/2016, http://en.irct.ir/trial/2019.

Entities:  

Keywords:  Glucose indices, type 2 diabetes; Irisin; Overweight/obesity; SIRT1; Vitamin D

Mesh:

Substances:

Year:  2020        PMID: 32033527      PMCID: PMC7007689          DOI: 10.1186/s12875-020-1096-3

Source DB:  PubMed          Journal:  BMC Fam Pract        ISSN: 1471-2296            Impact factor:   2.497


Background

Diabetes mellitus is a metabolic disease characterized by hyperglycemia resulting from defects in insulin secretion or action or both [1]. Obesity is an important risk factor increases cellular oxidative stress, insulin resistance (IR), and pancreatic beta cells malfunction [2]. In addition, vitamin D (VD) deficiency is highly prevalent in many societies and ages. According to Iranian Multi-Centric Osteoporosis Study (IMOS), 2009, 72.1% of men and 75.1% of women had mild to severe VD deficiency. Globally, about 50% of the population are VD deficient. It is estimated that about 1 billion people all over the world are affected by different degrees of vitamin D deficiency [3-6]. According to recent studies, IR as the most important cause of T2D was inversely related to VD [6-8]. Moreover, serum 25-OH VD is significantly lower among diabetic patients compared with non-diabetic ones [9, 10]. Also, the relationship between serum 25-OH VD and insulin secretion was significant according to some studies [11]. The hyperglycemia, hyperlipidemia, and inflammatory cytokines in diabetes can likely increase oxidative stress and decrease silent mating type information regulation 2 homolog 1 (sirtuin 1 [SIRT1]) levels [12]. Sirtuins as class III histone deacetylases are categorized into 7 types among which, SIRT1 has been studied more than other categories in humans. SIRT1 may play a role in chronic diseases such as diabetes. It affects glucose metabolism in the liver, pancreas, muscle and adipose tissue. The expression and activity of SIRT1 are reduced in hunger, calorie restriction, and some chronic diseases such as diabetes. Accordingly, SIRT1 activation may improve glucose indices and mitochondria function [13-16]. In addition, VD may increase human endothelial SIRT1 level and activity that can be downregulated by Hydrogen Peroxide. Anti-cancer effects of VD are related to VD receptor (VDR) and Forkhead box O (FOXO) protein interaction, phosphorylation stimulation, and SIRT1. The insulin-sensitizing effect of VD is likely in relation to SIRT1 [17]. Irisin is a myokine regulates energy metabolism in exercise and improves insulin resistance [18]. It is secreted in response to Peroxisome Proliferator-Activated Receptor (PPAR)-γ Coactivator (PGC-1α), and low irisin levels may decrease expression and activation of PGC-1α. Also, T2D patients have low serum levels of irisin and PGC-1α [19-22]. According to the separate studies, VD may increase SIRT1, and subsequently PGC-1α and Irisin. These changes can improve insulin resistance. Thus, VD may decrease insulin resistance by increasing SIRT1 and Irisin (Fig. 1). So, this trial was planned to assess the effects of vitamin D on serum glucose, SIRT1, and Irisin levels in overweight/obese T2D patients.
Fig. 1

A schematic for the relationship of vitamin D (VD), sirtuin1 (SIRT1), PPAR-gamma coactivator 1-alpha (PGC-1α), insulin resistance (IR), Irisin, and diabetes. (UCP1: Uncoupling Protein 1; FGF21: Fibroblast Growth Factor 21; PPAR-γ: Peroxisome Proliferation Activated Receptor-Gamma; IL-6: Interleukin 6; TNF-α: Tumour Necrosis Factor-Alpha; hs-CRP: high-sensitivity C-Reactive Protein; NF-κB: Nuclear Factor kappa-light-chain-enhancer of activated B cells)

A schematic for the relationship of vitamin D (VD), sirtuin1 (SIRT1), PPAR-gamma coactivator 1-alpha (PGC-1α), insulin resistance (IR), Irisin, and diabetes. (UCP1: Uncoupling Protein 1; FGF21: Fibroblast Growth Factor 21; PPAR-γ: Peroxisome Proliferation Activated Receptor-Gamma; IL-6: Interleukin 6; TNF-α: Tumour Necrosis Factor-Alpha; hs-CRP: high-sensitivity C-Reactive Protein; NF-κB: Nuclear Factor kappa-light-chain-enhancer of activated B cells)

Methods

Study design

This double-blinded randomized clinical trial was conducted on 90 obese T2D patients at Shahid Beheshti Diabetes Clinic, Bandar-E-Anzali, Gilan, Iran. The study lasted from the beginning of autumn 2016 to the end of autumn 2016. The participants signed a “written informed consent form” at the beginning. Ninety patients were randomly divided into placebo or intervention groups with a 1:1 ratio. The intervention group took 8 VD pearls (50,000 IU/week, Zahravi Co®), and the placebo group took similar pearls containing oral paraffin without VD (50,000 IU/week, Zahravi Co®). The duration of the intervention was 8 weeks. During the intervention, the compliance status including follow-up, side effects, and complications was weekly checked by calling. At the end, the number of the used pearls, returned blisters, and packs were recorded. Inclusion criteria were 25–65 years old, having T2D, serum HbA1c < 8.5%, 25 kg/m2 ≤ BMI, and the written informed consent form. Exclusion criteria were the inability to cooperating, acute diseases influencing the intervention, intake of the antioxidant and multivitamin-mineral supplements during the past 3-months so far, changing the type and dose of T2D medications, and taking less than about 90% of the study’s supplements. The outcomes were serum 25-OH VD, SIRT1, Irisin, HbA1c, IR indexes, FBS, and serum insulin.

Measures

At the beginning and end, the demographic characteristics, anthropometrics, and dietary intakes by two 24-h food recall (a weekend and a working day) were determined. Physical activity was measured by a short form of the international physical activity questionnaire (IPAQ) [23]. The sun exposure status was assessed using a valid questionnaire [24]. At the beginning and end, the blood taking from the brachial vein for measuring the serum factors was done. Serum glucose was measured by the Olympus® device and Delta® kits. The glycosylated hemoglobin was determined using Nycocard® kits in Nyco Card Reader® (Made in Norway). Insulin was measured by the Cobas e 411® device and Roche® kit. Irisin was measured by Zellbio GmbH kit Cat.No: ZB-13253 J-H9648 (Germany)®, with a normal range of 2–80 ng/ml and sensitivity of 0.1 ng/ml. SIRT1 was measured by Zellbio GmbH kit Cat.No: ZB-12557 J-H9648(Germany)®, with a normal range of 5–160 ng/ml and sensitivity of 1 ng/ml. ELISA method; ELISA reader (Model: Tecan A-5082 Made in Austria®). 25-OH VD was measured by 25-(OH) D3 quantitative diagnostic kit (Immuno Diagnostic Systems (IDS), UK)®, which is an Enzyme Immunoassay kit with a sensitivity of 5 nmol/L. The ELISA method and ELISA reader (Model: Tecan A-5082 Made in Austria®) were used for Irisin, SIRT1, and 25-OH D3. The insulin resistance was determined by HOMA-IR and QUICKI indexes [25, 26] as the following formula:

Statistical analysis

According to the Baziar et al study with 1.33 mean difference of HOMA-IR, 1.18 standard deviation for vitamin D group, and 2.84 standard deviations for placebo group [27], the sample size was calculated 45 peoples in any groups using G-Power software and considering α = 5%, β = 20%, and dropout percentage = 12.5%. Randomization was done using 23 quadratic blocks and www.sealedenvelope.com. The blinding was according to unique codes produced by software for each subject. Non-parametric, t-test, Mann-Whitney, Chi-square, and ANCOVA tests and SPSS16 statistical software were used for the analyses. The final analysis model was adjusted for the baseline values as potential confounders. P-value < 0.05 was statistically considered significant. The dietary intakes were analyzed by the Nutritionist(IV) software. The modified intention-to-treat (m-ITT) method [28] was used for the missing data (3 participants in the intervention group and 2 ones in the placebo group) (Fig. 2).
Fig. 2

Flow diagram of participants with type 2 diabetes and overweight/obesity grade 1

Flow diagram of participants with type 2 diabetes and overweight/obesity grade 1 This clinical trial was approved by the ethics committee of Iran University of Medical Sciences (IUMS) (Code: IR.IUMS.REC.1395.9223475201), and Iranian Registry of Clinical Trials (IRCT) (Registration No: IRCT201604202365N11). An informed consent form (in Persian) obtained from all the participants. Participation was free, and a participant could withdraw at whatever point the person feels he/she was unable to continue. The dose of VD was for insufficient VD status that side-effects had not been reported previously [29]. All of the ethical codes were according to the Helsinki agreement [30]. The personal information of participants was kept secret before, during, and after the trial. After measurements, at the end, a VD supplement was given to the placebo group according to the protocol.

Results

According to the flow diagram of participants, a total of 176 T2D patients referred to the diabetes clinic were screened (informed consent, medical history, questionnaire), of whom 86 patients did not meet the eligibility criteria. Ninety participants were randomized that 5 patients did not complete the study (for personal reasons; VD group n = 3; placebo n = 2). Thus 85 participants completed the trial (VD group n = 42; placebo n = 43) and the data of them were analyzed (Fig. 2). Most of the participants were women with type 1 obesity (30 ≤ BMI < 35 [BMI = 34.25 kg/m2, weight: 59–115 kg, height: 163–184.5 cm]), the mean age of 50 years (25–65 year), recent diagnosed T2D nearly less than 6 years, and consumption of maximum 2 types of anti-hyperglycemic medications. The baseline characteristics including age, gender, weight, height, BMI, duration of diabetes, type and dose of medications, and employment status were similar between two groups before intervention (Table 1).
Table 1

The mean and standard deviation of the baseline characteristics of type 2 diabetes patients

VariableCategoryGroupP-value
Vitamin D(N = 42)Placebo(N = 43)
Age (Y)50.36 (10.2)50.05 (10.7)0.892*
Weight (kg)77.38 (10.9)79.27 (11.6)0.442*
Height (cm)159.35 (8.0)158.77 (7.6)0.736*
BMI (kg/m 2))30.43 (3.2)31.37 (3.4)0.194*
Disease duration (months)65.52 (38.5)67.02 (35.4)0.664*
Medications (per day)Metformin (500 mg/d)2.11 (1.13)2.51 (1.26)0.135*
Glibenclamide (5 mg/d)1.31 (0.94)0.95 (0.78)
GenderMale7.00 (16.7)8.00 (18.6)0.815**
Female35.00 (83.3)35.00 (81.4)
Employment statusUnemployed32.00 (76.2)32.00 (74.4)0.850**
employed10.00 (23.8)11.00 (25.6)

*Independent t-test; **Chi-square test, Y Year, kg Kilogram, cm Centimeter, BMI Body mass index, mg Milligram

The mean and standard deviation of the baseline characteristics of type 2 diabetes patients *Independent t-test; **Chi-square test, Y Year, kg Kilogram, cm Centimeter, BMI Body mass index, mg Milligram Physical activity status (MET-min/week) was not significantly different between the two groups. Within the placebo group, weight and BMI decreased significantly (P < 0.05). However, these differences were not significant between the two groups (P > 0.05) (Table 2).
Table 2

The mean and standard deviation of physical activity, weight, and BMI in type 2 diabetes patients

VariableVitamin D(N = 42)Placebo(N = 43)P-value*
Physical activity (MET. Minutes/week)Baseline685.50 (99–34,755)462.00 (99–28,560)0.346
After intervention693.00 (99–33,831)462.00 (99–28,659)0.333
P-value**0.1040.811
Weight (kg)Baseline77.38 (10.92)79.27 (11.67)0.442
After intervention77.13 (10.81)78.77 (11.53)0.502
P-value**0.0760.011
BMI (kg/m2)Baseline30.43 (3.23)31.37 (3.40)0.194
After intervention30.34 (3.32)31.18 (3.42)0.254
P-value**0.0970.009

*Independent t-test, **Paired t-test, kg Kilogram, cm Centimeter, BMI Body mass index, mg Milligram, MET Metabolic equivalent

The mean and standard deviation of physical activity, weight, and BMI in type 2 diabetes patients *Independent t-test, **Paired t-test, kg Kilogram, cm Centimeter, BMI Body mass index, mg Milligram, MET Metabolic equivalent Energy, macronutrients, micronutrients, and antioxidant intakes were not significantly different within and between groups (Tables 3 and 4). Within the VD group, zinc intake increased significantly (P < 0.05), but within the placebo group, zinc intake decreased significantly (P < 0.05). However, this difference was not significant between the two groups (P > 0.05, Table 4).
Table 3

The mean and standard deviation of energy intake, macronutrients, and micronutrients before and after intervention in type 2 diabetes patients

Vitamin D(N = 42)Placebo(N = 43)P-value*
Energy (kcal/day)Baseline1638.59 (377.82)1578.38 (399.64)0.478
After intervention1701.36 (485.61)1564.68 (392.75)0.157
P-value**0.3810.871
Protein (g/day)Baseline82.27 (23.34)78.79 (31.82)0.568
After intervention89.31 (35.83)80.31 (32.16)0.226
P-value**0.1900.823
Carbohydrate (g/day)Baseline232.69 (67.62)220.85 (54.71)0.377
After intervention231.41 (62.34)214.21 (51.19)0.168
P-value**0.8910.522
Total fat (g/day)Baseline47.61 (11.25)46.83 (12.22)0.760
After intervention51.31 (17.33)47.41 (14.13)0.258
P-value**0.1990.830
SFA (g/day)Baseline16.10 (4.58)15.35 (3.75)0.413
After intervention16.01 (6.10)15.74 (4.54)0.819
P-value**0.9130.639
MUFA (g/day)Baseline16.06 (3.85)15.59 (5.07)0.636
After intervention17.13 (5.85)15.56 (4.86)0.182
P-value**0.2650.976
PUFA (g/day)Baseline9.98 (3.04)10.04 (3.45)0.836
After intervention10.49 (2.47)9.97 (3.86)0.480
P-value**0.3650.919
Calcium (mg/day)Baseline835.33 (279.75)838.41 (301.51)0.961
After intervention804.44 (324.89)833.63 (292.95)0.665
P-value**0.4870.929
Phosphorus (mg/day)Baseline1444.29 (402.18)1364.80 (372.84)0.347
After intervention1459.15 (467.88)1355.23 (388.99)0.268
P-value**0.8140.897
Vitamin D (μg/day)Baseline1.73 (1.28)1.84 (1.41)0.710
After intervention1.58 (1.18)1.64 (1.22)0.835
P-value**0.3860.334
Total fiber (g/day)Baseline29.23 (10.67)26.58 (7.56)0.192
After intervention29.96 (8.25)25.91 (9.05)0.578
P-value**0.1270.603

*Independent t-test, **Paired t-test, SFA Saturated fatty acid, MUFA Mono unsaturated fatty acid, PUFA Poly unsaturated fatty acid

Table 4

The mean and standard deviation of the dietary antioxidants before and after intervention in type 2 diabetes patients

Vitamin D(N = 42)Placebo(N = 43)P-value*
Beta-Carotene (micg/day)Baseline3780.763117.635440.756623.310.242
After intervention4379.334073.184419.514235.22
P-value**0.3620.963
Vitamin A (micg/day)Baseline878.74663.17893.10723.970.952
After intervention757.20433.10781.86489.78
P-value**0.0590.947
Vitamin E (mg/day)Baseline15.794.1515.964.630.951
After intervention15.424.1815.674.13
P-value**0.8820.522
Vitamin C (mg/day)Baseline122.8781.12139.18108.880.596
After intervention120.1974.06123.5676.57
P-value**0.1010.528
Selenium (mg/day)Baseline238.0954.43235.7688.750.386
After intervention213.0661.64230.7583.54
P-value**0.6960.887
Zinc (mg/day)Baseline20.615.8220.465.850.306
After intervention20.966.4019.396.05
P-value**0.0030.005
Manganese (mg/day)Baseline12.573.6112.835.540.381
After intervention11.484.0412.794.62
P-value**0.2400.052
Copper (micg/day)Baseline2.790.752.671.050.268
After intervention2.540.752.730.93
P-value**0.3640.988
Magnesium (mg/day)Baseline717.30168.48725.50247.190.461
After intervention680.08191.00732.94224.49
P-value**0.6950.284

*Independent t-test, **Paired t-test

The mean and standard deviation of energy intake, macronutrients, and micronutrients before and after intervention in type 2 diabetes patients *Independent t-test, **Paired t-test, SFA Saturated fatty acid, MUFA Mono unsaturated fatty acid, PUFA Poly unsaturated fatty acid The mean and standard deviation of the dietary antioxidants before and after intervention in type 2 diabetes patients *Independent t-test, **Paired t-test According to the final analysis model, the differences of serum VD, SIRT1, Irisin, and HbA1c were significant within and between groups (P < 0.05). Serum VD level was doubled compared to the baseline level, and HbA1c decreased by 1% among the VD group (Table 5). Within the VD group, irisin and SIRT1 increased significantly (P < 0.05). The differences in fasting glucose and insulin, HOMA-IR, and QUICKI were not significant between the two groups (Table 6). The sun-exposure status was not significantly different within and between groups.
Table 5

The mean and standard deviation of the primary variable before and after intervention in type 2 diabetes patients

Vitamin D(N = 42)Placebo(N = 43)crude P-value*Adjusted P-value***
VitaminD (ng/ml)Baseline17.24 (7.83)17.56 (7.82)0.853< 0.001
After intervention38.86 (10.76)14.79 (7.08)< 0.001
P-value**< 0.001< 0.001
HbA1c (%)Baseline7.51 (0.87)7.15 (1.12)0.103< 0.001
After intervention6.76 (0.98)7.21 (1.11)0.051
P-value**< 0.0010.657
SIRT1 (ng/ml)Baseline24.94 (4.38)25.57 (3.37)0.455< 0.001
After intervention27.90 (5.58)23.40 (3.88)< 0.001
P-value**< 0.001< 0.001
Irisin (ng/ml)Baseline18.15 (5.96)20.13 (7.17)0.171
After intervention21.99 (5.93)14.98 (2.76)< 0.001< 0.001
P-value**< 0.001< 0.001
HOMA-IR (N)Baseline5.36 (3.23)5.83 (3.09)0.4990.421
After intervention6.44 (3.73)7.39 (4.58)0.295
P-value**0.0060.003
QUICKI (N)Baseline0.76 (0.08)0.73 (0.06)0.1490.645
After intervention0.73 (0.07)0.71 (0.07)0.217
P-value**0.0050.003

*Independent t-test, **Paired t-test, ***ANCOVA

Table 6

The mean and standard deviation of the secondary variable before and after intervention in type 2 diabetes patients

Vitamin D(N = 42)Placebo(N = 43)P-value*Adjusted P-value***
FBS (mg/dl)Baseline172.48 (62.16)178.28 (71.74)0.6290.130
After intervention175.52 (65.44)162.72 (61.36)0.355
P-value**0.7420.053
Insulin (micIU/ml)Baseline12.64 (5.94)14.09 (6.43)0.2840.101
After intervention15.31 (7.24)18.77 (9.02)0.055
P-value**0.002< 0.001

*Independent t-test, **Paired t-test, ***ANCOVA

The mean and standard deviation of the primary variable before and after intervention in type 2 diabetes patients *Independent t-test, **Paired t-test, ***ANCOVA The mean and standard deviation of the secondary variable before and after intervention in type 2 diabetes patients *Independent t-test, **Paired t-test, ***ANCOVA

Safety

The patients reported no side effects associated with treatment.

Discussion

Vitamin D supplementation (50,000 IU/week) for 8 weeks increased serum VD levels in T2D patients with VD deficiency. Compared to placebo, VD increased SIRT1 and Irisin and decreased HbA1c by 1% significantly. The differences in fasting insulin and glucose, HOMA-IR, and QUICKI were not significant. Within the placebo group, serum VD levels decreased significantly. The results of some studies of the effects of VD supplementation on diabetes showed controversy that the following is referred to some of them. In some studies, VD effects on insulin and glucose levels of diabetic patients were similar to our trial [31-36]. In line with our results, Polidoro et al, 2013 reported that SIRT1 and Irisin levels increased in the VD group and decreased in the placebo group significantly [17]. The decreases can likely be attributed to progressing VD deficiency in the placebo group after 2 months. In Anastasilakis et al, 2013 study, irisin levels after osteoporotic fractures in postmenopausal women with low bone mineral density for 3 months didn’t show a significant correlation with serum 25(OH)VD levels. The decrease of Irisin was related to physical inactivity and a sedentary lifestyle during fracture [37]. In another study on healthy peoples, a one-time injection of 100,000 IU VD increased serum 25(OH)VD levels and the changes of serum irisin were non-significant. Only in one subject out of 28, the serum irisin increased by three times; which may be related to genetic variations in response to the intervention [38]. A study in 2017 showed serum irisin levels were decreased after 2 weeks’ mountain climbing. The possible reasons were exposure to hypoxia, the energy-related mechanisms, and the revitalization of musculoskeletal cells in response to hypoxia [39]. The changes in physical activity in our study were not significant. Accordingly, the improvement of serum irisin levels in the VD group was independent of physical activity levels. On the other hand, the decrease and increase of irisin can be related to serum VD levels or the dietary intake of VD in T2D patients. According to the different studies, the effects of VD on glucose indices are controversial. Similar to our study, two separate studies with 50,000 IU/d VD didn’t find significant effects on FBS levels [33, 34]. However, in two other studies, the increased serum VD levels were significantly related to FBS [40, 41]. The likely reasons may be the dietary patterns, timing or type of hyperglycemia medications, and the genetic differences of the populations. In contrast, some studies of VD effects reported a significant improvement in fasting serum insulin [34, 42–44]. The potential mechanisms may be the presence of VD receptors (VDRs) in pancreas cells and expression of 1-alpha-hydroxylase in them [37] and the existence of some elements on human insulin promotors that respond to VD and can activate insulin gene transcription [38-40]. In line with this trial, the different studies showed a significant decrease in HbA1c of diabeticspatients [33, 34, 43, 44]. However, the effect of VD on HbA1c was non-significant in two separate studies [45, 46]. The reasons may be the unadjusted potential confounders and the different design of these studies. The potential mechanisms are unknown. No significant changes in insulin resistance and sensitivity of our trial were similar to Jorde et al, 2010 study [40], and SUNNY trial [34]. However, some studies reported a significant improvement in HOMA-IR or QUICKI with vitamin D [43, 44, 47]. The reason may be changing fasting serum glucose and insulin levels after the intervention. Vitamin D may decrease blood glucose by increasing insulin sensitivity, glucose uptake of peripheral tissues, and glycogen synthesis in liver [14]. The existence of VDR and expression of 1-α-hydroxylase in pancreatic cells may be a probable mechanism of the VD effect on insulin secretion [48]. Also, response elements to VD in human insulin promoters may activate insulin gene transcription [15, 16]. The lower serum 25(OH)-VD level is associated with abdominal and peripheral obesity, physical inactivity, smoking, alcohol intake history, and the lower dietary intake of fish. In addition, obesity and physical inactivity are important risk factors for T2D. However, in this trial, differences in physical activity levels were non-significant. Serum VD levels can be directly related to central adiposity [49] wasn’t measured in our participants. Accordingly, the relationship between Vitamin D and glucose profiles can also be interpreted. Vitamin D can increase insulin receptor gene expression in beta cells, glucose transport in the intestine [50], and intestinal calcium absorption may serve as stimuli for insulin release. In addition, some VDRs on beta cells can turn 25(OH)D3 (calcidiol) into the active VD [51, 52]. The more reasons for the differences between our trial and other studies may be unadjusted confounders, the different designs, the variety of dietary patterns, and the dose or timing of hyperglycemia medications. This study has several strengths. First, the double-blinded stratified blocked randomization design; Second, considering multiple eligibility criteria; Third, the determining of dietary intakes and physical activity status and adjusting the statistical analysis for them and other potential confounders; Fourth, considering control group. These strengths are likely preferable in comparison with the few other clinical trials that have evaluated the effects of VD in T2D. However, our study had some limitations. First, the sample size was small; Second, the intervention duration was likely short to understand the real effects of VD supplementation on the different markers in T2D patients; Third, disregarding non-obese patients. Fourth, self-reporting of diet and physical activity; Fifth, failure to measuring serum parathyroid hormone (PTH), Apo-lipoprotein A1, and the more sensitive inflammatory factors; Sixth, 24-h food recall is not a good index for assessing the usual food intake; Seventh, failure to measuring body composition. Even so, this study is the first trial of VD effects on serum SIRT1 and irisin levels in overweight/obese T2D patients. We suggest similar trials measuring adipose tissue distribution and considering more potential confounders and the longer intervention period.

Conclusion

Vitamin D supplementation improves serum 25-(OH) VD, SIRT1, irisin, and glycosylated hemoglobin in VD deficient T2D patients. The decrease of HbA1c may be related to the increased serum VD and irisin levels. Further trials are suggested. Additional file 1: Table S1. The measurement tools and descriptions of companies.
  49 in total

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Authors:  D R Matthews; J P Hosker; A S Rudenski; B A Naylor; D F Treacher; R C Turner
Journal:  Diabetologia       Date:  1985-07       Impact factor: 10.122

5.  Vitamin D replacement in Asians with diabetes may increase insulin resistance.

Authors:  A V Taylor; P H Wise
Journal:  Postgrad Med J       Date:  1998-06       Impact factor: 2.401

Review 6.  The Emerging Role of Sirtuin 1 in Cellular Metabolism, Diabetes Mellitus, Diabetic Kidney Disease and Hypertension.

Authors:  A Guclu; F M Erdur; K Turkmen
Journal:  Exp Clin Endocrinol Diabetes       Date:  2015-11-20       Impact factor: 2.949

7.  Crosstalk between Oxidative Stress and SIRT1: Impact on the Aging Process.

Authors:  Antero Salminen; Kai Kaarniranta; Anu Kauppinen
Journal:  Int J Mol Sci       Date:  2013-02-11       Impact factor: 5.923

Review 8.  Irisin: a new molecular marker and target in metabolic disorder.

Authors:  Jia-qi Chen; Yue-ye Huang; Aaron M Gusdon; Shen Qu
Journal:  Lipids Health Dis       Date:  2015-01-14       Impact factor: 3.876

9.  Does vitamin D play a significant role in type 2 diabetes?

Authors:  Jayesh J Sheth; Ankna Shah; Frenny J Sheth; Sunil Trivedi; Mamta Lele; Navneet Shah; Premal Thakor; Rama Vaidya
Journal:  BMC Endocr Disord       Date:  2015-02-26       Impact factor: 2.763

10.  Role of vitamin d in insulin secretion and insulin sensitivity for glucose homeostasis.

Authors:  Jessica A Alvarez; Ambika Ashraf
Journal:  Int J Endocrinol       Date:  2010       Impact factor: 3.257

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  17 in total

1.  Could nutrient supplements provide additional glycemic control in diabetes management? A systematic review and meta-analysis of randomized controlled trials of as an add-on nutritional supplementation therapy.

Authors:  Yoonhye Kim; Yun Kyoung Oh; Junhee Lee; Eunyoung Kim
Journal:  Arch Pharm Res       Date:  2022-03-18       Impact factor: 4.946

Review 2.  A brief review of vitamin D as a potential target for the regulation of blood glucose and inflammation in diabetes-associated periodontitis.

Authors:  Cheng Dong; Xuzhi Hu; Alok Shiomurti Tripathi
Journal:  Mol Cell Biochem       Date:  2022-04-27       Impact factor: 3.842

Review 3.  Mitochondrial and metabolic dysfunction in ageing and age-related diseases.

Authors:  João A Amorim; Giuseppe Coppotelli; Anabela P Rolo; Carlos M Palmeira; Jaime M Ross; David A Sinclair
Journal:  Nat Rev Endocrinol       Date:  2022-02-10       Impact factor: 47.564

4.  The efficacy and safety of metformin combined with simvastatin in the treatment of polycystic ovary syndrome: A meta-analysis and systematic review.

Authors:  Yanbo Liu; Yupei Shao; Jiping Xie; Linlin Chen; Guang Zhu
Journal:  Medicine (Baltimore)       Date:  2021-08-06       Impact factor: 1.817

5.  Irisin Is Correlated with Blood Pressure in Obstructive Sleep Apnea Patients.

Authors:  Xing Wang; Zhengjiao Zhang; Xiaoxin Lan; Keyou Fu; Guanhua Xu; Jingyi Zhao; Haibo Yuan
Journal:  Int J Hypertens       Date:  2021-11-11       Impact factor: 2.420

6.  The genetic background and vitamin D supplementation can affect irisin levels in Prader-Willi syndrome.

Authors:  M F Faienza; G Brunetti; G Grugni; D Fintini; A Convertino; P Pignataro; A Crinò; S Colucci; M Grano
Journal:  J Endocrinol Invest       Date:  2021-03-03       Impact factor: 5.467

Review 7.  Histone Deacetylases as Modulators of the Crosstalk Between Skeletal Muscle and Other Organs.

Authors:  Alessandra Renzini; Marco D'Onghia; Dario Coletti; Viviana Moresi
Journal:  Front Physiol       Date:  2022-02-18       Impact factor: 4.566

Review 8.  Adipokines, Myokines, and Cardiokines: The Role of Nutritional Interventions.

Authors:  Pamela Senesi; Livio Luzi; Ileana Terruzzi
Journal:  Int J Mol Sci       Date:  2020-11-08       Impact factor: 5.923

Review 9.  Role of Vitamin D in the Metabolic Syndrome.

Authors:  Lucía Melguizo-Rodríguez; Víctor J Costela-Ruiz; Enrique García-Recio; Elvira De Luna-Bertos; Concepción Ruiz; Rebeca Illescas-Montes
Journal:  Nutrients       Date:  2021-03-03       Impact factor: 5.717

Review 10.  Irisin and Secondary Osteoporosis in Humans.

Authors:  Roberta Zerlotin; Angela Oranger; Patrizia Pignataro; Manuela Dicarlo; Filippo Maselli; Giorgio Mori; Silvia Concetta Colucci; Maria Grano; Graziana Colaianni
Journal:  Int J Mol Sci       Date:  2022-01-08       Impact factor: 5.923

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