Literature DB >> 28721141

Impact of 25-hydroxyvitamin D, free and bioavailable fractions of vitamin D, and vitamin D binding protein levels on metabolic syndrome components.

Marta Pelczyńska1, Teresa Grzelak1, Marcelina Sperling1, Paweł Bogdański2, Danuta Pupek-Musialik3, Krystyna Czyżewska1.   

Abstract

INTRODUCTION: Various forms of vitamin D and factors involved in their metabolism can play a role in the etiopathogenesis of metabolic disorders. This paper aims to define the relationship between concentration of the hydroxylated form of vitamin D (25(OH)D), the fraction of free and bioavailable vitamin D, and of vitamin D binding protein (VDBP) levels on the one hand and the prevalence of metabolic syndrome components on the other.
MATERIAL AND METHODS: The studies were conducted on 79 people, including 52 with metabolic syndrome (MetS+) and 27 without it (MetS-). Biochemical measurements (lipid profile, glycemia, 25(OH)D, VDBP, albumin, calcium, parathyroid hormone) were performed, concentration of free and bioavailable vitamin D was mathematically calculated, and anthropometric and blood pressure measurements were taken.
RESULTS: The mean ± SD concentration of 25(OH)D among MetS+ individuals (41.90 ±13.12 nmol/l) was lower (p < 0.0001) than among the MetS- group (66.09 ±18.02 nmol/l). Differences between groups were observed in relation to medians/means of concentrations of free and bioavailable vitamin D (p < 0.0001) but not in the case of VDBP. In the entire study population, 25(OH)D correlated with all metabolic syndrome components, whereas its free and bioavailable fraction correlated with particular components of the syndrome. In the MetS+ group, VDBP concentration negatively correlated with body mass index (p = 0.037) and levels of diastolic pressure (p = 0.022). In the case of the MetS- group, the free fraction of vitamin D negatively correlated with triglyceridemia (p = 0.049).
CONCLUSIONS: The evaluation of various forms of vitamin D and VDBP in different population groups seems to have significant clinical value in evaluating the prevalence of metabolic disorders.

Entities:  

Keywords:  forms of vitamin D; metabolic syndrome; vitamin D binding protein

Year:  2016        PMID: 28721141      PMCID: PMC5510509          DOI: 10.5114/aoms.2016.58594

Source DB:  PubMed          Journal:  Arch Med Sci        ISSN: 1734-1922            Impact factor:   3.318


Introduction

Metabolic syndrome includes a number of disorders whose coexistence increases the risk of development of, among others, atherosclerotic cardiovascular system diseases and type 2 diabetes mellitus. The pathogenesis of metabolic syndrome (MetS) has not been fully explained [1]. Recently, attention has been paid to the presence in the human body of various forms of vitamin D and their participation in the etiology of civilization-related diseases. The various forms of vitamin D include not only its hydroxylated form (25(OH)D), but also the free and bioavailable fraction of this vitamin, as well as factors engaged in its metabolism such as the so-called membrane transport protein (Gc-globulin). Vitamin D is responsible for regulating the expression of many genes (at the level of transcription or by membrane receptors) that are mainly associated with the homeostasis of calciumandphosphate, carbohydrates, and lipids, as well as with the immune response or anticancer activity [2]. The appropriate concentration of vitamin D is important in many diseases, including abdominal obesity, type 2 diabetes mellitus, and dyslipidemia [3, 4]. It is believed that excessive body weight is a significant factor that leads to lower serum concentrations of the vitamin. Moreover, the complex metabolism of vitamin D, including its transformations and transport, determines its total and bioavailable pool, and it also depends on the calcium and parathyroid hormone concentrations in the blood [3, 5, 6]. Several forms of vitamin D can be distinguished in the human body. About 88% of the 25(OH)D and 85% of the 1,25(OH)D are bound to vitamin D binding protein, and a further 10–13% to albumin. The rest constitutes the so-called free fraction of vitamin D, which is not bound to serum proteins. Together with the vitamin D bound to albumin, this makes up the bioavailable fraction. It should be noted that free vitamin D, although it constitutes only a small percentage (0.1–2%) of the total vitamin in all forms in the human body, is characterized by high biological activity (in accordance with the “free hormone hypothesis”, only unbound molecules can freely migrate through cell membranes and cause particular metabolic effects) [7]. One of the substances responsible for the transport of vitamin D is Gc-globulin, also called vitamin D binding protein (VDBP). This is a glycoprotein with multidirectional activities. Unlike 25(OH)D, VDBP is probably not subject to seasonal variations [8, 9]. Research based on knocking out the gene coding for Gc-globulin in mice has shown that this protein has a significant impact on vitamin D activity. The animals were characterized by lower concentrations of hydroxylated forms of this vitamin in the blood (both 25-hydroxyvitamin D, and 1,25-dihydroxyvitamin D) than were mice with the properly functioning gene [10]. The relation between the level of VDBP and the concentration of 25(OH)D in the blood has also been demonstrated in humans [11, 12]. However, to date, there have been no evaluations of the concentration of the various forms of vitamin D and of vitamin D binding protein in the population of people with metabolic syndrome. The aim of the study was to identify and evaluate the relationship of 25(OH)D concentration, the fraction of free and bioavailable vitamin D, and the level of vitamin D binding protein, on one hand, with the prevalence of metabolic syndrome components, on the other.

Material and methods

The research was approved by the Local Ethical Committee (no. 456/14).

Research group

Based on the consensus of the International Diabetes Federation and the American Heart Association and the National Heart, Lung, and Blood Institute from 2009[13], the study includes a harmonized definition of metabolic syndrome. MetS was diagnosed based on the presence of at least three of the five components of this syndrome. The components of MetS included: waist circumference greater than 94 cm for men and 80 cm for women, increased level of fasting glycemia (> 5.6 mmol/l), increased arterial blood pressure (> 130 mm Hg for systolic pressure or > 85 mm Hg for diastolic pressure), hypertriglyceridemia (> 1.7 mmol/l), and lowered levels of high-density lipoprotein (HDL) cholesterol (< 1.0 mmol/l for men and < 1.3 mmol/l for women), or adequate drug therapy for hyperglycemia, hypertonia arterialis, or dyslipidemia [13]. The study included 79 Caucasians aged 30–60 years. The research group consisted of 52 people with metabolic syndrome (MetS+), all patients of the Department of Internal Medicine, Metabolic Disorders and Hypertension, Poznan University of Medical Sciences. Twenty-seven volunteers without metabolic syndrome (MetS–), matched for age and gender, formed the control group. In the MetS+ group, 30.75% of people met five of the criteria for metabolic syndrome, 38.50% met four, and 30.75% met three. In the MetS– group, 25.93% of the population met two criteria (most often slightly increased waist circumference and level of arterial blood pressure) and 37.04% met only one (most often slightly increased level of arterial blood pressure). Recruitment for the research and control groups was performed simultaneously for 20 months starting in March 2013.

Anthropometric and biochemical measurements

Measurement of the height and mass of the participants, fasting and dressed only in underwear, was carried out using a stadiometer and a certified electronic scale (SECA 285 Wireless, Hamburg, Germany). The measurements of waist circumference (measured midway between the costal arch and the upper iliac crest) and of hip circumference (at the level of the greater trochanters) were made. The obtained results were used to calculate the body mass index (BMI) and the waist-to-hip ratio (WHR). Measurements of arterial blood pressure (systolic/diastolic, SBP/DBP respectively) were repeated three times with the patient sitting, and after at least a 10-minute rest, using a certified sphygmomanometer (model 705IT, Omron Corporation, Kyoto, Japan) in accordance with the recommendations of the European Society of Hypertension and the European Society of Cardiology [14]. Blood samples were taken in the morning and either used immediately for testing or saved and frozen at a temperature of –20°C. Indicators of fasting blood glucose (FBG) and lipid profile, such as total cholesterol (TC), HDL fraction, and triglyceride level (TG), were measured using enzymatic methods and standardized tests performed at the clinical laboratory in Poznan. Because triglyceridemia was defined as a TG level below 4.52 mmol/l, the concentration of low-density lipoprotein (LDL) was calculated based on the following formula: LDL = TC – (HDL + TG/5). The total concentration of 25(OH)D (25-hydroxyergocalciferol and 25-hydroxycholecalciferol) was evaluated using the electrochemiluminescence method on a cobas e immunoanalyzer (Roche Diagnostic, Mannheim, Germany); the total calcium was evaluated using the complexometric method on a Roche/Hitachi cobas e system (Roche Diagnostic, Mannheim, Germany), and parathyroid hormone levels were determined with the immunoradiometric method (Immunotech, Marseille, France). An automated technique using bromocresol green was performed in order to measure albumin concentration (Abbott Laboratories, Irving, Texas, U.S.A.). The serum concentration of vitamin D binding protein was identified using the ELISA method in accordance with the manufacturer’s instructions (DRG Instruments GmbH, Marburg, Germany).

Calculating free and bioavailable vitamin D

The concentration of the free fraction of 25(OH)D in the blood serum was calculated in accordance with the following formula [15]: free 25(OH)D [pmol/l] = 25(OH)D/1 + (6 × 103 × [albumin]) + (7 × 108 × [VDBP]). The concentration of bioavailable vitamin D was calculated using this equation [16]: bioavailable 25(OH)D [nmol/l] = (Kalb × [albumin] +1) × [free 25(OH)D], where Kalb is a constant for 25(OH)D binding with albumin (6 × 105 mol–1).

Statistical analysis

The obtained research results were subjected to statistical analysis, including elements of descriptive statistics and statistical procedures, such as correlation and regression analysis of the studied variables and analysis of variance. The statistical analysis of the results was performed using Statistica 10.0 (StatSoft Inc., Tulsa, OK, USA) program. Normal data distribution for smaller groups was proved using the Shapiro-Wilk test, while for groups of over 50 people, the Kolmogorov-Smirnov test was used. The level of statistical significance was set at p < 0.05.

Results

The results of the anthropometric analysis showed, as expected, statistically significant differences in the body composition of individuals from the MetS+ and MetS– groups. The individuals with metabolic syndrome were characterized by notably higher mean body weight, waist circumference, and BMI than those without the syndrome. The results of the biochemical analysis revealed statistically significant differences in the concentration medians (or mean values) of metabolic syndrome components (SBP, DBP, HDL, TG, FBG) between the individuals with MetS+ and the people without the syndrome (Table I). In the case of total cholesterol concentration (p = 0.062) and LDL fraction (p = 0.07), the differences between the analyzed groups (MetS+ vs. MetS–) were not significant.
Table I

Anthropometric and biochemical characteristics of studied individuals with (MetS+) and without metabolic syndrome (MetS–)

ParameterMetS+ (n = 52)MetS– (n = 27)P-value
Body weight [kg]109.98 ±22.28105.20 (95.23; 122.58)71.84 ±15.8471.30 (58.70; 85.95)< 0.0001
Waist circumference [cm]116.71 ±14.56113.50 (104.00; 128.00)82.63 ±10.8782.00 (73.50; 91.50)< 0.0001
Hip circumference [cm]119.73 ±13.93119.50 (108; 130.50)98.89 ±6.8899 (93.50; 105.50)< 0.0001
BMI [kg/m2]37.39 ±6.4035.95 (31.73; 42.78)24.46 ±3.0625.00 (21.50; 26.95)< 0.0001
WHR0.98 ±0.090.98 (0.93; 1.06)0.83 ±0.070.82 (0.79; 0.89)< 0.0001
SBP [mm Hg]143.19 ±17.70140.00 (135.00; 150.00)124.59 ±19.27125.00 (106.00; 139.50)< 0.0002
DBP [mm Hg]89.77 ±8.5590.00 (84.25; 95.00)81.33 ±10.2080.00 (72.00; 91.00)< 0.003
TC [mmol/l]5.67 ±1.165.84 (4.79; 6.53)5.20 ±0.825.15 (4.58; 5.61)0.062
HDL [mmol/l]1.15 ±0.321.15 (0.97; 1.33)1.76 ±0.431.78 (1.38; 1.95)< 0.0001
LDL [mmol/l]3.65 ±1.143.53 (2.89; 4.37)3.24 ±0.783.26 (2.65; 3.74)0.07
TG [mmol/l]2.26 ±1.051.97 (1.57; 2.75)1.02 ±0.370.96 (0.77; 1.23)< 0.0001
FBG [mmol/l]5.80 ±0.935.59 (5.20; 6.16)4.94 ±0.524.94 (4.55; 5.41)< 0.0001
Ca [mmol/l]2.42 ±0.182.38 (2.31; 2.51)2.43 ±0.122.42 (2.37; 2.49)0.2552
PTH [pmol/l]4.00 ±1.593.86 (2.88; 5.12)4.27 ±1.604.13 (3.22; 5.29)0.4807
Albumin [µmol/l]619.88 ±29.27623.50 (594.50; 638.00)663.24 ±42.29667.00 (623.50; 688.75)< 0.0001

The parameter values are presented as means (± SD) and as medians (25% and 75% quartile); n – number of studies individuals, p – statistical significance level according to the Mann-Whitney U-test for the MetS+ vs. MetS– groups in the case of nonparametric distributions or the T-test for parametric data, BMI – body mass index, WHR – waist-to-hip ratio, SBP – systolic blood pressure, DBP – diastolic blood pressure, TC – concentration of total cholesterol, HDL – concentration of high-density lipoprotein, LDL – concentration of low-density lipoprotein, TG – concentration of triglycerides, FBG – concentration of glucose, Ca – concentration of calcium, PTH – concentration of parathyroid hormone.

Anthropometric and biochemical characteristics of studied individuals with (MetS+) and without metabolic syndrome (MetS–) The parameter values are presented as means (± SD) and as medians (25% and 75% quartile); n – number of studies individuals, p – statistical significance level according to the Mann-Whitney U-test for the MetS+ vs. MetS– groups in the case of nonparametric distributions or the T-test for parametric data, BMI – body mass index, WHR – waist-to-hip ratio, SBP – systolic blood pressure, DBP – diastolic blood pressure, TC – concentration of total cholesterol, HDL – concentration of high-density lipoprotein, LDL – concentration of low-density lipoprotein, TG – concentration of triglycerides, FBG – concentration of glucose, Ca – concentration of calcium, PTH – concentration of parathyroid hormone. The mean ± SD concentration of 25(OH)D in patients with metabolic syndrome was significantly lower (p < 0.0001) than among those lacking the syndrome, and was 41.90 ±13.12 nmol/l for MetS+ and 66.09 ±18.02 nmol/l for MetS– (Table II). In line with the 2011 recommendations of the Endocrine Society regarding the “Evaluation, treatment, and prevention of vitamin D deficiency” [17], vitamin D deficiency (< 50 nmol/l) can be observed in the group of individuals with metabolic syndrome, whereas in the MetS– group, the concentration was at an insufficient level (50–75 nmol/l). Statistically significant differences (p < 0.0001) between the groups were also observed in the case of the concentration of free and bioavailable vitamin D, and in that of albumin in the serum (p < 0.0001). There were no differences in the levels of vitamin D binding protein, calcium, or parathyroid hormone between patients with metabolic syndrome and those without it (while maintaining the reference values of the parameters).
Table II

Concentration of various forms of vitamin D and vitamin D binding protein in individuals with (MetS+) and without metabolic syndrome (MetS–)

ParameterMetS+ (n = 52)MetS– (n = 27)P-value
25(OH)D [nmol/l]41.90 ±13.1240.7 (34.24; 48.41)66.09 ±18.0265.13 (53.25; 79.99)< 0.0001
VDBP [µmol/l]6.65 ±1.736.37 (5.42; 7.66)7.14 ±1.266.84 (6.14; 8.41)0.1941
Free 25(OH)D [pmol/l]9.59 ±3.828.62 (7.00; 11.68)13.55 ±4.1214.73 (10.06; 16.77)< 0.0001
Bioavailable 25(OH)D [nmol/l]3.56 ±1.393.08 (2.63; 4.42)5.39 ±1.655.71 (4.14; 6.71)< 0.0001

The parameter values are presented as means (± SD) and as medians (25% and 75% quartile); n – number of studies individuals, p – statistical significance level according to the Mann-Whitney U-test for the MetS+ vs. MetS– groups in the case of nonparametric distributions or the T-test for parametric data, 25(OH)D – concentration of 25-hydroxyvitamin D, VDBP – concentration of vitamin D binding protein, free 25(OH)D – concentration of free 25-hydroxyvitamin D, bioavailable 25(OH)D – concentration of bioavailable 25-hydroxyvitamin D.

Concentration of various forms of vitamin D and vitamin D binding protein in individuals with (MetS+) and without metabolic syndrome (MetS–) The parameter values are presented as means (± SD) and as medians (25% and 75% quartile); n – number of studies individuals, p – statistical significance level according to the Mann-Whitney U-test for the MetS+ vs. MetS– groups in the case of nonparametric distributions or the T-test for parametric data, 25(OH)D – concentration of 25-hydroxyvitamin D, VDBP – concentration of vitamin D binding protein, free 25(OH)D – concentration of free 25-hydroxyvitamin D, bioavailable 25(OH)D – concentration of bioavailable 25-hydroxyvitamin D. In the entire studied population (n = 79), the concentration of 25(OH)D was significantly correlated with anthropometric markers (body weight, BMI, WHR) and with the biochemical components of metabolic syndrome (SBP, DBP, HDL, TG, FBG) (Table III). In the case of the concentration of free and bioavailable vitamin D, a correlation was observed with the results of the anthropometric analysis, and to a lesser extent with the biochemical parameters (HDL, TG). Moreover, for the level of vitamin D binding protein, there was also a correlation with fewer anthropometric (body weight, BMI) and biochemical components (SBP, DBP, FBG). None of these relations were found to hold in the case of calcium or of parathyroid hormone. In the entire research group, 25(OH)D concentration correlated positively with the concentration of free (r = 0.7940, p < 0.0001) and bioavailable (r = 0.8171, p < 0.0001) forms of vitamin D, whereas VDBP concentration showed a negative relationship with those parameters (r = –0.4260, p < 0.0001 for free 25(OH)D and r = –0.3847, p < 0.0001 for bioavailable 25(OH)D, respectively).
Table III

Pearson correlation coefficient (r) and statistical significance level (p) of concentrations of 25-hydroxyvitamin D (25(OH)D), free 25(OH)D, and the bioavailable fraction of 25(OH)D, as well as vitamin D binding protein, for the selected anthropometric and biochemical parameters of the entire studied population (n = 79)

Parameter25(OH)DFree 25(OH)DBioavailable 25(OH)DVDBP
rprprprp
Body weight [kg]–0.4740< 0.0001–0.28920.010–0.33570.003–0.23630.036
Waist circumference [cm]–0.5395< 0.0001–0.3889< 0.0001–0.4414< 0.0001–0.16120.156
BMI [kg/m2]–0.5498< 0.0001–0.34640.002–0.3998< 0.0001–0.26780.017
WHR–0.3860< 0.0001–0.37090.001–0.4057< 0.0001–0.06640.561
SBP [mm Hg]–0.26970.016–0.07200.528–0.12520.272–0.23270.039
DBP [mm Hg]–0.31060.005–0.11490.313–0.14290.209–0.28760.010
HDL [mmol/l]0.4879< 0.00010.4253< 0.00010.4400< 0.00010.03960.729
TG [mmol/l]–0.3969< 0.0001–0.32870.003–0.34590.002–0.04130.718
FBG [mmol/l]–0.27900.013–0.11140.557–0.14920.189–0.23040.041

BMI – body mass index, WHR – waist-to-hip ratio, SBP – systolic blood pressure, DBP – diastolic blood pressure, HDL – concentration of high-density lipoprotein, TG – concentration of triglycerides, FBG – concentration of glucose.

Pearson correlation coefficient (r) and statistical significance level (p) of concentrations of 25-hydroxyvitamin D (25(OH)D), free 25(OH)D, and the bioavailable fraction of 25(OH)D, as well as vitamin D binding protein, for the selected anthropometric and biochemical parameters of the entire studied population (n = 79) BMI – body mass index, WHR – waist-to-hip ratio, SBP – systolic blood pressure, DBP – diastolic blood pressure, HDL – concentration of high-density lipoprotein, TG – concentration of triglycerides, FBG – concentration of glucose. In the MetS+ group, there were no relations between the total amount of 25(OH)D concentration, its free or bioavailable fraction, and metabolic syndrome components. Such relations were found, however, in the case of VDBP concentration, which negatively correlated with BMI values (r = –0.2897, p = 0.037), hip circumference (r = –0.3108, p = 0.025), and diastolic blood pressure levels (r = –0.3171, p = 0.022). In the MetS+ group, WHR showed a negative relationship with HDL cholesterol concentration (r = –0.3009, p = 0.030) and a positive one with triglyceridemia (r = 0.3919, p = 0.004). In both the Mets+ and MetS– groups, as in the entire studied population, the concentration of 25(OH)D correlated positively with the concentration of free (r = 0.7003, p < 0.001 for the MetS+ group and r = 0.8061, p < 0.001 for the MetS– group) and bioavailable fraction of 25(OH)D (r = 0.7111, p < 0.001 for the MetS+ group and r = 7831, p < 0.001 for the MetS– group), whereas VDBP concentration showed a negative relationship with these parameters (r = –0.5959, p < 0.0001 for free 25(OH)D; r = –0.5960, p < 0.0001 for the bioavailable fraction of 25(OH)D in the MetS+ group and r = –0.4706, p = 0.013 for free 25(OH)D; r = –0.4752, p = 0.012 for the bioavailable fraction of 25(OH)D in the MetS– group). In the case of patients lacking metabolic syndrome, no relationships were found for the concentration of 25(OH)D or bioavailable vitamin D, whereas the free fraction negatively correlated with triglyceridemia (r = –0.3824, p = 0.049). Furthermore, in this group, the anthropometric markers (BMI and WHR) correlated positively with glycemia (r = 0.5291, p = 0.005; r = 0.5086, p = 0.007 respectively). Additionally, BMI negatively correlated with the concentration of HDL cholesterol (r = –0.4176, p = 0.031).

Discussion

Epidemiological data show that vitamin D deficiency in various populations has become a common phenomenon. It is thought that the decreased concentration of this vitamin in serum may correlate with the occurrence of metabolic diseases [18-20]. In the present study, the concentration of 25(OH)D in serum among the majority of people was lower than the reference values (< 75 nmol/l). Deficiencies of the hydroxylated form of vitamin D, as well as significantly lower levels of the free and bioavailable fraction of the vitamin, were more frequently found in the group of patients with metabolic syndrome than in those without it. The mechanism behind the drop in 25(OH)D concentration in visceral obesity (the basis for the diagnosis of metabolic syndrome) has not been fully clarified. It is assumed that it may be connected with the presence of a natural barrier in the form of excess adipose tissue, which, alongside other factors, supports vitamin D sequestration, makes its transport into the blood circulation system more difficult, and disturbs its metabolism [4]. Furthermore, Drincic et al. have suggested that vitamin D taken together with food or synthesized in the skin is diluted volumetrically in a large amount of adipose tissue, which results in the occurrence of a significant serum deficiency of this type of compound in obese individuals [21]. It is assumed that adipocytes may affect the expression of genes coding for the enzymes that take part in the activation and transformation of vitamin D. Wamberg et al. found that among obese patients, the expression of the genes coding 25-hydroxylase (CYP2J2) and 1α-hydroxylase (CYP27B1) is lower in the subcutaneous adipose tissue by respectively 71% and 49%, compared to people of appropriate body weight; in the case of body weight reduction, the concentration of 25(OH)D in serum increased by 27% [22]. On the other hand, the possibility of vitamin D’s active participation in the process of adipogenesis and the remodeling of adipose tissue has been shown. In vitro research suggested that 1,25(OH)2D3 slows adipogenesis and promotes adipocyte apoptosis of the mouse cell line 3T3–L1 [23], whereas in humans this vitamin may promote the process of adipogenesis, which is associated with the replacement of mature adipocytes by new insulin-sensitive cells of adipose tissue [24]. In our study, the levels of vitamin D binding protein in both groups (research and control) were similar, which was not the case for the individual fractions of vitamin D. The analysis in this area, performed by various research centers, has been ambiguous, and no such research was found dealing with patients with metabolic syndrome. Winters et al. observed similar levels of VDBP among African-American and white women [25], while Oberbach et al. found higher concentrations of this molecule among obese women and men, in comparison with people of appropriate body weight [26]. In other studies, when comparing the concentration of VDBP between obese and normal weight women, an increase in its level was also observed in the obese individuals. It is assumed that the concentration of vitamin D binding protein in the case of women may be modulated by the level of estrogens affecting its hepatic production [27]. Moreover, three VDBP allelic variants (Gc1s, Gc1f, Gc2) can be distinguished; these condition affect the serum concentration of VDBP [28]. In our analysis, the concentration of the hydroxylated form of vitamin D in the whole population is negatively correlated with all the components of metabolic syndrome. These data are in agreement with the results of the analysis of other researchers [3, 4]. The meta-analysis performed by Khan et al., which evaluated the occurrence of relations between the serum concentration of 25(OH)D and the risk of metabolic diseases and of type-2 diabetes mellitus, showed that low levels of this vitamin predispose to these disorders [29]: vitamin D can stimulate the activity of the renin–angiotensin–aldosterone system, endothelium function, or pancreatic β-cell function, and a protective role in the prevention of metabolic diseases is therefore attributed to it [30]. A positive correlation of free and bioavailable vitamin D with the 25(OH)D form, and a negative correlation with VDBP level, were observed in our study, both for the whole population and in the two groups separately. Similar results were also obtained in the research of Wang et al. [31]. Additionally, our analysis showed the existence of negative correlations between the concentration of free and bioavailable forms of vitamin D and the prevalence of particular components of metabolic syndrome in the entire studied population; for individuals without this syndrome, only the free fraction of the vitamin is negatively correlated with triglyceridemia. Experimental studies on mice have shown that vitamin D binding protein may be considered an inhibitor of the free fraction of vitamin D which, by binding its hydroxylated forms, allows them to be transported in the body; it also regulates their availability to specific cells, tissues, and organs [10]. Unlike the free fraction of vitamin D, VDBP does not have an influence on the bioavailable fraction of the vitamin (i.e., the albumin-bound vitamin D plus the free fraction). It is estimated that the bioavailable fraction of vitamin D constitutes about 10% of all forms of this compound and may be an alternative to 25(OH)D indicators in some clinical trials [7]. The establishment of reference values for 25-hydroxyvitamin D and its free fraction has been the subject of much discussion. Further population studies on various forms of vitamin D are therefore required, especially because of their role in the maintenance of human health. Moreover, it is important to establish clinical recommendations for these compounds. The measurement of free 25(OH)D is generally labor-intensive (using ELISA strategies) and is not yet commercially available. The earliest work in this area did not allow this analysis to be used in routine clinical practice. As a consequence, alternative methods based on mathematical models are useful in estimating the free and bioavailable forms of vitamin D, which can be meaningful markers of vitamin D status [32, 33]. The results of our research indicate that vitamin D binding protein negatively correlates with body weight, BMI, levels of arterial blood pressure, and glycemia in the whole population. For people with metabolic syndrome, VDBP level negatively correlates with anthropometric parameters (hip circumference and BMI) and levels of diastolic pressure. Investigations by other researchers into the correlation between VDBP and anthropometric parameters vary in their results. Negative [32, 34] and positive [35] correlations of vitamin D binding protein with body weight and BMI are shown, or such correlations are not demonstrated [12, 25]. On the other hand, with regard to the biochemical components of metabolic syndrome, it is suggested that the protein may be a protective agent against their occurrence. In the analysis of Speeckaert et al., negative correlations between the VDBP concentration and the fraction of LDL lipoproteins, as well as triglyceridemia, were observed [36]. In addition, it is thought that VDBP, by regulating the amount of active vitamin D in β-cells of the pancreas, may affect insulin secretion, and thus affect the prevalence of insulin resistance and type-2 diabetes mellitus [11]. The research model presented here has some limitations. The first is the size of the research and control groups, which translates into difficulties in dividing them into smaller subgroups that might take account of the impact of sunlight on the endogenous production of vitamin D, as well as other factors. Furthermore, only Caucasians participated in the study, and so the results should be generalized with caution. Additionally, the research included people with varying degrees of metabolic syndrome, presenting three, four, or five of its components; however, in accordance with the definition of metabolic syndrome, there is a broad population of people at risk of various metabolic disorders (obesity, hypertension, hyperglycemia, dyslipidemia). Another limitation of this research is that it takes into consideration the mathematically calculated concentrations of the free and bioavailable fraction of 25(OH)D. In practice, these formulas are used and accepted, and including them in the research allows the analysis to be expanded to include a complex evaluation of various forms of vitamin D in the human body. Nevertheless, the results of this research show that relations do exist between the various forms of vitamin D and vitamin D binding protein concentrations and the prevalence of metabolic disorders, and thus form the basis for further, more extensive research in this area. In conclusion, statistically significant differences were found in the concentration of 25-hydroxyergocalciferol and 25-hydroxycholecalciferol (25(OH)D), as well as of the free and bioavailable fraction of vitamin D, between people with and without metabolic syndrome. Such relations were not observed in the case of vitamin D binding protein. Moreover, significant correlations were noted between the concentrations of vitamin D and VDBP in various forms and the presence of particular components of metabolic syndrome, both in the entire study population and in the research and control groups separately. Thus, the evaluation of various forms of vitamin D and vitamin D binding protein in different population groups seems to have significant clinical value for evaluating the prevalence of metabolic syndrome.
  36 in total

Review 1.  Vitamin D deficiency.

Authors:  Michael F Holick
Journal:  N Engl J Med       Date:  2007-07-19       Impact factor: 91.245

2.  Insulin resistance indices are inversely associated with vitamin D binding protein concentrations.

Authors:  Ambika P Ashraf; Carrie Huisingh; Jessica A Alvarez; Xudong Wang; Barbara A Gower
Journal:  J Clin Endocrinol Metab       Date:  2013-12-20       Impact factor: 5.958

3.  Expression of vitamin D-metabolizing enzymes in human adipose tissue -- the effect of obesity and diet-induced weight loss.

Authors:  L Wamberg; T Christiansen; S K Paulsen; S Fisker; P Rask; L Rejnmark; B Richelsen; S B Pedersen
Journal:  Int J Obes (Lond)       Date:  2012-07-17       Impact factor: 5.095

Review 4.  Biological and clinical aspects of the vitamin D binding protein (Gc-globulin) and its polymorphism.

Authors:  Marijn Speeckaert; Guangming Huang; Joris R Delanghe; Youri E C Taes
Journal:  Clin Chim Acta       Date:  2006-05-12       Impact factor: 3.786

Review 5.  Is vitamin D deficiency a major global public health problem?

Authors:  Cristina Palacios; Lilliana Gonzalez
Journal:  J Steroid Biochem Mol Biol       Date:  2013-11-12       Impact factor: 4.292

Review 6.  Vitamin D deficiency: a worldwide problem with health consequences.

Authors:  Michael F Holick; Tai C Chen
Journal:  Am J Clin Nutr       Date:  2008-04       Impact factor: 7.045

7.  Influence of obesity on vitamin D-binding protein and 25-hydroxy vitamin D levels in African American and white women.

Authors:  Stephen J Winters; Ramana Chennubhatla; Chenxi Wang; James J Miller
Journal:  Metabolism       Date:  2009-04       Impact factor: 8.694

8.  Vitamin D-binding protein modifies the vitamin D-bone mineral density relationship.

Authors:  Camille E Powe; Catherine Ricciardi; Anders H Berg; Delger Erdenesanaa; Gina Collerone; Elizabeth Ankers; Julia Wenger; S Ananth Karumanchi; Ravi Thadhani; Ishir Bhan
Journal:  J Bone Miner Res       Date:  2011-07       Impact factor: 6.741

9.  Bioavailable vitamin D is more tightly linked to mineral metabolism than total vitamin D in incident hemodialysis patients.

Authors:  Ishir Bhan; Camille E Powe; Anders H Berg; Elizabeth Ankers; Julia B Wenger; S Ananth Karumanchi; Ravi I Thadhani
Journal:  Kidney Int       Date:  2012-03-07       Impact factor: 10.612

Review 10.  Links between Vitamin D Deficiency and Cardiovascular Diseases.

Authors:  Ioana Mozos; Otilia Marginean
Journal:  Biomed Res Int       Date:  2015-04-27       Impact factor: 3.411

View more
  8 in total

1.  Association of vitamin D-binding protein and vitamin D3 with insulin and homeostatic model assessment (HOMA-IR) in overweight and obese females.

Authors:  Leila Setayesh; Krista Casazza; Nariman Moradi; Sanaz Mehranfar; Habib Yarizadeh; Abbas Amini; Mir Saeed Yekaninejad; Khadijeh Mirzaei
Journal:  BMC Res Notes       Date:  2021-05-19

2.  Abnormal serum fatty acid profile in psoriatic arthritis.

Authors:  Hanna Mysliwiec; Ewa Harasim-Symbor; Anna Baran; Małgorzata Szterling-Jaworowska; Anna J Milewska; Adrian Chabowski; Iwona Flisiak
Journal:  Arch Med Sci       Date:  2019-11-03       Impact factor: 3.318

3.  Detection of metabolic syndrome burden in healthy young adults may enable timely introduction of disease prevention.

Authors:  Anja Šoštarič; Barbara Jenko; Nada Rotovnik Kozjek; Darja Ovijač; Dušan Šuput; Irina Milisav; Vita Dolžan
Journal:  Arch Med Sci       Date:  2019-08-23       Impact factor: 3.318

4.  Associations Between Bioavailable Vitamin D and Remnant Cholesterol in Patients With Type 2 Diabetes Mellitus.

Authors:  Gulsum Feyza Turkes; Sezer Uysal; Tevfik Demir; Yucel Demiral; Baris Onder Pamuk; Husnu Yılmaz; Leyla Demir; Mehmet Doruk; Giray Bozkaya
Journal:  Cureus       Date:  2021-02-09

5.  Isoflavones, calcium, vitamin D and inulin improve quality of life, sexual function, body composition and metabolic parameters in menopausal women: result from a prospective, randomized, placebo-controlled, parallel-group study.

Authors:  Salvatore Giovanni Vitale; Salvatore Caruso; Agnese Maria Chiara Rapisarda; Stefano Cianci; Antonio Cianci
Journal:  Prz Menopauzalny       Date:  2018-04-11

6.  Evaluation of Vitamin D Fractions in Obese Hypertensive Patients.

Authors:  Marta Pelczyńska; Teresa Grzelak; Marcelina Sperling; Matylda Kręgielska-Narożna; Paweł Bogdański; Krystyna Czyżewska
Journal:  Int J Environ Res Public Health       Date:  2020-03-04       Impact factor: 3.390

7.  Is Bioavailable Vitamin D Better Than Total Vitamin D to Evaluate Vitamin D Status in Obese Children?

Authors:  Gülin Karacan Küçükali; Özlem Gülbahar; Şervan Özalkak; Hasan Dağlı; Serdar Ceylaner; Zehra Aycan; Şenay Savaş Erdeve
Journal:  J Clin Res Pediatr Endocrinol       Date:  2021-05-20

8.  The Association Between GC Gene Polymorphisms and Metabolic Syndrome in Chinese Rural Population: A Case-Control Study.

Authors:  Tong Zhao; Dongdong Zhang; Yiming Liu; Mingming Feng; Ze Xu; Haoyue Huang; Luoya Zhang; Wenjie Li; Xing Li
Journal:  Diabetes Metab Syndr Obes       Date:  2022-01-14       Impact factor: 3.168

  8 in total

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