Korelacja markerów przemiany węglowodanów ze stężeniem witaminy D u nastolatków z nadwagą i otyłością

Introduction

Childhood obesity is an important public health problem. Obesity reaches 17.2% among endocrine diseases in Ukraine [1]. Out of all children with overweight and obesity, about 51% are between the ages of 14 and 17 years [2]. Due to overweight and obesity, meta-bolic disturbances, including carbohydrate and lipid metabolism disorders, develop and present cardiometabolic risk factors [3, 4], which further increase the risk of disability and premature death. The basis of the pathogenesis of metabolic disorders in obesity is insu-lin resistance syndrome, which is one of the leading factors in the development of cardiovascular diseases. With insulin resistance, fat, muscle, endothelial, and hepatic tissues are affected most of all [4, 5].
Prolonged increase of glucose and fatty acids in the blood affects the function of -cells of the pancreas, and ultimately leads to a decrease in insulin secretion.
In the case of obesity as well as overweight, the deficiency of vitamin D increases, which greatly aggravates metabolic process-es in the body. Vitamin D metabolites increase insulin sensitivity to insulin due to increased insulin receptor gene expression and de-creased inflammatory cytokines [6, 7].
In peripheral target cells, active metabolites of vitamin D increase insulin sensitivity, including increased expression of recep-tors, activating transcription factors that are important for glucose homeostasis [8, 9], or acting indirectly through the regulation of calci-um, which is required for insulin-associated intracellular processes.

Aim of the study

The aim of the given research was to determine the relationship between vitamin D and carbohydrate metabolism in adolescents with overweight and obesity.

Material and methods

The research was conducted on the basis of the communal institution of the Ternopil Regional Council: Ternopil Regional Children’s Clinical Hospital. In carrying out the research, the rules of patient safety and ethical principles of conducting scientific medical research with the participation of human subjects (2013) were observed. The Commission on Bioethics of the I. Horbachevsky Ternopil State Medical University granted permission to carry out this study.
A total of 139 adolescents were examined, among whom, depending on the body mass index (BMI), 65 had overweight and 74 had obesity. Out of all participants, there were 63 (45.4%) girls and 76 (54.7%) boys. The mean age of children was 15.4 ±2.3 years.
Evaluation of pubertal development was carried out according to Tanner criteria (stages 2–5). In order to compare serum calcid-iol levels in adolescents with overweight and obesity, and calcidiol levels in adolescents with normal body weight (BMI less than 85th percentile for the given age and gender), a control group of 63 healthy children who were of comparable gender and age to comparison groups was presented.
The inclusion criteria for the study were the following: body mass index of more than 85th percentile for overweight children and over 97th percentile for obesity, according to age-sex nomograms, written informed consent of parents and patients for the examina-tion, autumn-winter period.
To determine vitamin D status using the immune-enzyme method, blood serum levels of 25(OH)D were determined. Thus, 25-OH Vitamin D ELISA kit (EUROIMMUN, Germany) was used, with an intra-assay CV of 3.2–4.9% and an inter-assay CV of 4.0–7.8%. The assessment of the results of the 25(OH)D level was conducted according to the recommendations of the International Society of Endocrinologists [10]. In order to differentiate the relationship between vitamin D level and parameters of carbohydrate metabolism and anthropometric measurements, adolescents with overweight and obesity were divided into four subgroups, according to the level of calcidiol in blood serum. Subgroup 1 included 37 adolescents with 25(OH)D level less than 10 ng/ml, subgroup 2 included 71 adoles-cents with 25(OH)D level from 10 ng/ml to 20 ng/ml, subgroup 3 included 22 adolescents with 25(OH)D level from 20 ng/ml to 30 ng/ml, and subgroup 4 included 9 adolescents with 25(OH)D level more than 30 ng/ml.
Anthropometric examinations: body weight was measured using electronic scales (within accuracy 0.1 kg), height by means of a stadiometer (accuracy 0.1 cm), and waist circumference and hip circumference using a flexible measuring tape (within accuracy of 0.1 cm). Then the waist-hip ratio (WHR) was calculated as WC divided by HC. BMI was calculated according to the formula (mass [kg]/height2 [m2]). The waist-to-height ratio (WHtR) was defined as WC divided by height. BMI Z-score (BMIz) was calculated ac-cording to the formula (observed value – median value of the reference population)/standard deviation value of reference population, for world health organisation (WHO) recommendation [11].
BMI was assessed by percentile curves for girls and boys separately according to WHO charts and tables. Overweight was di-agnosed in cases where BMI was higher than 85th to 97th percentile, and obesity when BMI exceeded 97th percentile according to gender and age. The adjusted measures of relative weight adjusted for age and sex were evaluated by the BMIz.
Measurement of blood pressure (BP) was performed on both upper limbs three times in a sitting position using a mechanical sphygmomanometer with a cuff.
To evaluate the carbohydrate metabolism, an oral glucose tolerance test was performed to determine the level of fasting glucose and insulin in blood and at 30, 60, 120, and 180 minutes after glucose loading. Blood glucose levels were determined by the glucose oxidase method, and blood insulin levels were measured by ELICA (immunochemical with electrochemiluminescent detection) using a Cobas 6000 analyser and Roche Diagnostics test systems (Switzerland). The HOMA-IR (Homeostasis Model Assessment for Insulin Resistance) index was calculated by the formula: HOMA IR = (fasting glucose × fasting insulin)/22.5. Insulin resistance was detected at values of HOMA-IR 3.19 and higher [9].

Statistical analysis

The statistical processing of the results of the conducted studies was carried out using statistical package “STATISTICA 10.0” and table editor “Microsoft Excel 2003”. The assessment of the normality of the distribution of features in the variation series was carried out according to the Kolmogorov-Smirnov criterion. Given the correct distribution, the quantitative data was presented as mean values (M) and their standard errors (SD). In the presence of an incorrect distribution of quantities, the quantitative data was presented as medi-an (Me) and interquartile range, or mean values (M), and 95% confidence interval (95% CI). A comparison of two independent samples with the correct distribution was performed using the Student’s t-criterion, and in the case of an incorrect distribution of values – using the nonparametric U-Mann-Whitney U-criterion. The comparison of frequency indices in the observation groups was performed using criterion 2. Correlation analysis was performed to estimate the relation between the Spearmen correlation coefficient and multiple re-gression analysis.
Significance of the differences between the values was considered significant at p < 0.05.

Results

In adolescents, a low level of calcidiol in blood plasma is determined. The results of the examination of 25(OH)D in blood serum of adolescents with normal body weight, overweight, and obesity are presented in Figure 1.
Average values of 25(OH)D in the serum of children with normal body weight were 19.76 ±4.28 ng/ml, in overweight adoles-cents – 15.24 ±3.47 ng/ml, and in obese children – 13.87 ±2.71 ng/ml. These data showed that the average values of serum calcidiol levels were 1.23 times higher than those in the overweight group (p = 0.012) and 1.43 times higher than in obese children (p = 0.000) [2].
The comparative analysis of anthropometric indices, BP, and carbohydrate metabolism parameters was performed depending on the 25(OH)D level (Tables I, II). It was established that as the serum calcidiol level decreases, there was a significant increase in body weight, an increase in the body mass index, an increase of BMIz, an increase in the circumference of the waist and hip, and an increase in the waist-hip ratio, and waist-height ratio increased. There was no established difference in the growth of adolescents when comparing subgroups with different levels of vitamin D blood saturation.
The level of systolic and diastolic blood pressure in overweight and obese adolescents did not present a significant difference between the subgroup distribution of 25(OH)D concentration. The lowest BP values were seen in the subgroup of children with suffi-cient levels of vitamin D in blood serum.
Among the indicators that characterise the carbohydrate metabolism, the dependence on vitamin D level was determined. The level of basal insulin in the blood of children in subgroup 1, with the pronounced deficiency of vitamin D, was 27.8 µO/ml, and it was 1.32 times (p = 0.000) higher than in children with vitamin D deficiency, who were assigned to the second subgroup, and their basal insulin level was 21.1 µO/m, 1.85 times (p = 0.000) higher than in the third subgroup of adolescents with vitamin D insufficiency with basal insulin level 15.1 µO/ml, and 1.81 times (p = 0.000) higher than the fourth subgroup with sufficient vitamin D level with basal insulin level 15.4 µO/ml (Table II).
The average blood glucose level in children with overweight and obesity in all four subgroups of the study was within the range 5.0 mmol/l – 5.4 mmol/l and showed no significant difference (p > 0.05). The index of insulin resistance HOMA-IR depended largely on the level of basal insulin in the blood and was associated with vitamin D. The tendency of HOMA-IR to increase grows rap-idly with a decrease in 25(OH)D concentration.
In 7.2% of adolescents with overweight and obesity, glucose intolerance was detected, which was not relevant concerning the calcidiol level in plasma.
The impaired fasting glycaemia in the general group of adolescents with overweight and obesity was 27.4% and was character-ised by higher values in children with severe deficiency and vitamin D deficiency. In the comparative assessment of glycaemic disturb-ances in the subgroup distribution of 25(OH)D, the frequency in subgroup 1 was 1.49 times higher, and in subgroup 4 it was 2.42 times higher.
A correlation analysis was carried out to determine the relation of carbohydrate metabolism, blood pressure, and anthropometric parameters with the calcidiol level in blood serum (Table III). It was found that negative correlation of average strength was determined between 25(OH)D and the body weight of adolescents, BMI, BMIz, WC, HC, WHtR, WHR, basal insulin level, and HOMA-IR index of insulin resistance. There was no significant relationship between 25(OH)D and height, glucose levels in the blood, as well as the parameters of systolic and diastolic pressure.
Table IV presents the regression coefficients that characterise the determining contribution of the listed indicators of anthropo-metric measurements based on BMIz and carbohydrate metabolism in the formation of 25(OH)D level in blood plasma. The parameters that have a significant effect on the formation of calcidiol levels in blood serum and are statistically significant are basal insulin levels, body mass index, waist circumference, hip circumference, waist-hip ratio, and waist-height ratio.
The established standardised beta-regression coefficients allow comparison of the relative contributions of expected predictors in the development of vitamin D deficiency in adolescents with obesity.
The conducted study found that in adolescents a low level of vitamin D is determined, the concentration of which has a direct inverse correlation with body weight and body mass index (p = 0.000), waist circumference (p = 0.000), hip circumference (p = 0.001), waist-hip ratio (p = 0.000), waist-height ratio (p = 0.000), and the following carbohydrate markers: basal insulin level and HOMA-IR index. The associations between these indicators and their level of exposure to vitamin D are determined by the coefficients of the multi-ple regression analysis presented in Table IV. The obtained data of both non-standardised and standardised regression coefficients con-firm the results of correlation analysis.
The median content of vitamin D in adolescents with normal body weight was 17.6 (12.03; 25.4) ng/ml, with overweight – 14.5 (10.2; 20.6) ng/ml, and with obesity – 12.7 (9.3; 17.3) ng/ml.

Discussion

There are scientific papers presenting results similar to ours, published by many researchers, who indicate that vitamin D deficiency is most prevalent among children suffering from overweight and obesity [12–14]. It is believed that with excessive amounts of adipose tissue the sequestration of calcidiol increases within it, resulting in vitamin D deficiency [8, 12].
The level of vitamin D is affected by a number of factors, such as the season for the research, the use of vitamin D supple-ments, milk use, physical activity, lengthy working at a computer, and the duration of watching television [2, 13].
Most studies have highlighted that vitamin D deficiency has a high correlation with abdominal obesity, and that vitamin D me-tabolites affect adipogenesis. Researchers emphasise that vitamin D contributes to the reduction of visceral fat through the mechanism of exposure to gene expression, which is associated with adipogenesis and oxidation of fatty acids [6].
In adolescents with overweight and obesity, there are disturbances in carbohydrate metabolism that are of varying degrees of severity, which is directly related to the state of vitamin D. In our study, impaired fasting glycaemia, basal insulin levels and HOMA-IR insulin resistance in patients with vitamin D deficiency was significantly higher than in patients with adequate levels of vitamin D. In children with obesity (Table III), correlation bonds of 25(OH)D with basal insulin levels and indices of insulin resistance HOMA-IR, as well as with BMI, were the highest.
With marked deficiency of vitamin D (subgroup 1), hyperinsulinaemia was determined, in which the level of insulin signifi-cantly exceeded the norm and was higher than that in the subgroups of children with a high level of vitamin D (subgroups 2 and 3) or its sufficient level (subgroup 4).
Hyperinsulinaemia, which develops in adolescents with vitamin D deficiency along with obesity, is associated with the devel-opment of insulin resistance and is directly correlated with serum 25(OH)D levels. The state of insulin resistance is associated with impaired sensitivity of cell membrane receptors as well as the permeability of calcium channels, which is directly dependent on the level of vitamin D and is regulated by it [9, 14].
Vitamin D influences intracellular effects in the pancreatic B cells, their functional capacity through vitamin D receptors, and the local membrane production of hydroxyvitamin D [15].
Due to the decrease in cellular sensitivity to insulin, the development of hyperinsulinaemia, and a disturbance in the balance be-tween insulin production and glucose uptake, insulin resistance develops, which in our study is marked by the growth of HOMA-IR index. In children with obesity, there is a significant inverse correlation between the level of calcidiol and HOMA-IR index of average strength. In addition, our research has established a strong correlation between the HOMA-IR index and insulin (r = 0.954, p = 0.000).
However, we have not established any significant differences in adolescents with obesity and overweight between blood glu-cose levels in subgroups with different concentrations of vitamin D in serum. According to the correlation analysis, the correlation coef-ficient in children with overweight and obesity with glucose levels in the blood was r = 0.182 and was not determined to be significant (p = 0.118).
Nevertheless, there are other studies that argue that in the case of concentration of 25(OH)D in blood plasma less than 15 ng/ml, compared with the group with vitamin D level more than 26 ng/ml, the chance for an increase in blood glucose levels regard-less of obesity is twice as high.
The study of systolic and diastolic blood pressure determined the differences in the group of adolescents with a sufficient vita-min D level in comparison with adolescents with insufficiency and vitamin D deficiency; however, these differences were not statistical-ly significant, and there was no correlation with the 25(OH)D level in blood serum. The findings confirm the results of other researchers concerning the absence of probable differences in systolic and diastolic pressure in adolescents with obesity at different vitamin D levels in blood plasma [16].
In spite of this, in some prospective studies, there is a relationship between low vitamin D level or its dietary intake and arterial hypertension. In particular, it is noted that giving vitamin D to patients with arterial hypertension for eight weeks leads to a significant reduction in blood pressure. In addition, there is evidence that vitamin D may be a negative endocrine regulator of the renin-angiotensin system. The researchers note that the activated metabolite 25(OH)D 1,25-dihydroxyvitamin D inhibits renin gene expression [17]. Moreover, it is necessary to highlight the results obtained during the experimental studies that claim that in mice with zero vitamin D receptor there is an increase in renin, systemic hypertension, and the development of hypertrophy of the heart.Also, we would like to point out the limitations of our study, which consisted of blood sampling in the autumn-winter period, when inadequate skin synthesis of vitamin D is common due to limited exposure to sunlight.

Conclusions

Vitamin D deficiency is prevalent in adolescents mostly with overweight and obesity.
Vitamin D deficiency is associated with hyperinsulinaemia, insulin resistance, and impaired fasting glucose in overweight and obese adolescents. There are the inverse correlations between vitamin D level and basal insulin level, insulin resistance index HOMA-IR. We did not find any interrelationship of calcidiol with impaired glucose tolerance.
Multiple logistic regression analysis showed that in the development of vitamin D deficiency in overweight and obese adoles-cents the basal insulin level, body mass index, waist circumference, waist-hip ratio, and waist-height ratio are prognostically significant.

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