Abstract
Plasma concentration of sex hormone-binding globulin (SHBG), as an androgen binding protein, is impressed by many physiological and environmental factors. Recent studies have shown that plasma level of SHBG is related to some components of metabolic syndrome (MetS); however, in contrast, few articles failed to show any associations between SHBG and MetS. So, this study was conducted to investigate the relationship between Components of Metabolic Syndrome and Plasma Level of Sex Hormone-Binding Globulin. In this study, after measuring the plasma level of SHBG in 84 individuals, the relation between MetS and the plasma level of SHBG was investigated. After evaluating the plasma level of SHBG and metabolic abnormalities in men and women, we investigated the factors which mentioned above in two groups including patients with and without MetS. Also, the metabolic abnormalities which evaluated in this study including plasma level of 25-hydroxyvitamin D, serum uric acid (SUA), Albumin, lipid profiles and etc. according to five components of MetS. Our result shows that SHBG could contributed to some laboratory parameters such as LDL-C (P<0.05), total cholesterol (P<0.05), triglycerides (P<0.05) and etc. in men, but not in women. On the other hand, we observed that concentration of SHBG is higher in patients with MetS (P<0.05); however, results from our experiment showed that there is no relation between lower level of SHBG and five components of MetS such as central obesity, raised fasting plasma glucose (FPG) (P>0.05), reduced HDL-C (P>0.05), raised triglycerides (P>0.05) and raised blood pressure (P>0.05) in both men and women. There is a significant association between SHBG and Log-Hip Circumference (P<0.05), Non-HDL-C (P<0.05) and Log-25(OH)D (P<0.05) was seen in this cross-section study in both men and women. Results obtained from our study suggest that SHBG is not a powerful enough factor to use as a predictor of MetS alone and there is no association between plasma level of SHBG and development of five components of MetS, however, lower SHBG level may contributed to lipid profiles.
Key Words: Plasma, Sex Hormone-Binding Globulin, Metabolic Syndrome
Ethical Publication Statement
We confirm that we have read the Journal’s position on issues involved in ethical publication and affirm that this report is consistent with those guidelines.
Sex hormone-binding globulin (SHBG) is a kind of transporter protein in plasma which mostly synthesized in the liver and it could be bind to the androgens such as testosterone, dihydrotestosterone (DHT) and estradiol with various affinities.1 Multiple metabolic factors such as sex steroids hormones, prolactin, thyroxine and insulin could impress on the expression of the SHBG in the hepatoma cell line HepG2 of liver.2 lso, molecular studies have suggested that hyperinsulinemia and hyperglycemia could suppresses the expression of SHBG in the liver.3 Some epidemiological studies have revealed that plasma level of sex steroid hormones and SHBG are associated with metabolic syndrome (MetS). Many articles have indicated that SHBG levels are related to five metabolic abnormalities of MetS including central obesity, raised FPG, reduced HDL-C, raised triglycerides and raised blood pressure; however, few recent studies have shown that there is no significant relation between SHBG and MetS.4,5 Those studies showed the relation between SHBG and MetS, suggested that low concentrations of sex hormones and SHBG in plasma not only contributed to MetS, but also increase the risk of insulin resistance, dyslipidaemia, hypertension and visceral adiposity. Therefore, it could be concluded that sex steroids hormones and SHBG might play a key role in the pathophysiology of MetS.6 In addition, other risk factors including sedentary lifestyle, diet and genetic factors are clearly associated with the MetS.7-9 On the other hand, it was suggested that the abnormalities involved in the MetS are highly related with cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM).10-12 Therefore, due to impotence of the MetS and its association with CVD, early diagnosis of MetS is highly suggested.11-13 Although the relations between SHBG and MetS have been investigated, the results obtained from past studies are not in line with each other.14-19 In the current study, we try to show the relation between SHBG concentration and metabolic abnormalities in both men and women.
Materials and Methods
We evaluate the plasma level of SHBG and metabolic abnormalities in men and women, then we investigated the factors which mentioned above in two groups including patients with and without MetS. Also, the metabolic abnormalities which evaluated in this study including plasma level of 25-hydroxyvitamin D, serum uric acid (SUA), Albumin, lipid profiles and etc. according to five components of MetS.
Study population
This is a cross-sectional study. The patients referred to the private endocrinology clinic enrolled for this research.
Inclusion Criteria: 1. had no known history of chronic diseases of heart, lungs, kidneys, or liver.
Exclusion Criteria: has been told by a physician that they had diabetes or were taking anti-hyperglycemic medications at the time of the study.
Between February and May 2016, 84 individuals were enrolled, agreed to participate, and underwent physical examinations and laboratory assessments. All procedures dealing with human subjects where conducted in accordance with the guidelines laid down in the most recent revision of Helsinki declaration. Written informed consent was obtained and recorded for all subjects prior to enrollment.
Interview and physical examination
At the beginning of study, all subjects were interviewed using a predesigned questionnaire. After obtaining a detailed medical history, a physical examination was conducted by the interviewing physician. Blood pressure was measured using a standard mercury sphygmomanometer (Big Ben adults; Riester, Jungingen, Germany). After 10 minutes of rest, 2 readings of systolic and diastolic blood pressures were taken 5 minutes apart with an appropriately-sized adult cuff, and the average of the 2 readings was recorded. Weight (kg) and height (cm) were measured with the individual wearing only light clothing and no shoes using a calibrated digital scale (GS49; Beurer, Ulm, Germany) and a wallmounted stadiometer, respectively. Body mass index (BMI) was calculated as weight (kg), divided by the height squared (m2). Waist circumference was measured to the nearest 0.1 cm with an inflexible measuring tape midway between the lowest rib and the iliac crest.
Laboratory Measurements
Subjects were instructed to complete an overnight fast of 10 to 12 hours and were invited for a blood draw the next morning. In the hospital laboratory, 10 mL venous blood was drawn, and the following biochemical measurements were performed. FPG was measured using the glucose oxidize method. Fasting insulin (FI) concentrations were measured with an Immunoradiometric assay (Immunotech, Prague, Czech Republic). Homeostatic model assessment of insulin resistance (HOMA-IR), a surrogate index of insulin resistance, was calculated as FPG (mg/dl) × FI (IU)/405. The percentage of glycated hemoglobin (HbA1c) was determined using a high-performance liquid chromatography assay.
Serum concentrations of lipids including triglycerides, total cholesterol, and high-density lipoprotein (HDL) cholesterol were measured using enzymatic colorimetric methods (Pars Azmun commercial kits, Karaj, Iran). Serum concentrations of low-density lipoprotein (LDL) cholesterol were determined indirectly using the Friedewald equation.20 Serum concentrations of hsCRP were measured using standard kits (Diagnostic Biochem Canada Inc, Dorchester, ON, Canada). Jaffe’s kinetic method was used to measure plasma creatinine concentrations. Serum concentrations of SHBG were measured using the enzyme-linked immunosorbent assays. The intra- and inter assay coefficients of variation of the kit (CSB-E08947h, Cusabio, Wuhan, China) were <8% and <10%, respectively.
Definition of MetS
The diagnosis of MetS was based on the criteria outlined by the International Diabetes Federation (22). Subjects were diagnosed with MetS if they were centrally obese (waist circumference ≥90 cm in both sexes or BMI over 30 kg/ m2), and had at least 2 of the following 4 criteria: (1) raised triglycerides (≥150 mg/dl) or previous hypertriglyceridemia treatment, (2) reduced HDL cholesterol (<40 mg/dl in males and <50 mg/dl in females), (3) elevated blood pressure (systolic blood pressure ≥130 mm Hg and/or diastolic blood pressure ≥85 mm Hg) or treatment of previously diagnosed hypertension, and (4) raised FPG (FPG ≥100 mg/dl) or previously diagnosed type 2 diabetes.
Statistical Analysis
Statistical analyses were done using Statistical Package for Social Sciences (SPSS) software, version 24.0 (SPSS Inc, Chicago, IL). Continuous variables with normal distributions are presented as mean ± SD, and those with non-normal distributions are presented as median (interquartile range). Continuous variables with non-normal distributions (i.e., SHBG) were log transformed for parametric analyses. Sex, the only categorical variable, is presented as a female/male ratio. Continuous variables between individuals with and without MetS were compared with independent t tests. We performed c2 tests to compare the female/male ratio between MetS and non-MetS individuals. Bivariate correlation analysis using Pearson’s correlation coefficient was used to determine the degree of association between SHBG and MetS, sex, and laboratory parameters. Analysis of variance (ANOVA) was carried out to investigate the presence of a linear association between log-SHBG and the number of metabolic abnormalities (0 to 5). Uni- and multivariate logistic regression models were used to assess whether log-SHBG concentrations were associated with the presence of each individual component of MetS and also MetS as a single entity. In each model, (odds ratio (OR) 95% confidence intervals (CI)) was calculated per 1-SD increment in the log- 5-HIAA values. P<0.05 was considered statistically significant for all tests.
Results
Baseline characteristics of the persons
A total of 84 persons were enrolled, and 75% were male. 40% of male and 10% of female were diagnosed with MetS. The subjects which are presented in table 1 show baseline characteristics of the population in male and female separately. In the first part of this study, analysis showed that waist–hip ratio (WHR) (P<0.001), Weight (P<0.05), and Waist Circumference (P<0.05) were significantly higher in men when compare to women. Also, Serum concentrations of FPG (P<0.05), 2hPPG (P<0.05), HDL-C (P<0.05), Creatinine (P<0.001), Uric Acid (P<0.01), ALT (P<0.01), the index of HOMA-IR (P<0.05) and percentage of HA1C (P<0.05) were significantly lower in women. On the other hand, plasma level of SHBG (P<0.05) and HDL-C (P<0.001) were significantly higher in women. As shown in table 1 there is no significant differences in serum concentration of other laboratory parameters such as LDL-C, non-HDL-C, triglycerides, total cholesterol, and etc. between men and women.
Table 1.
Baseline Characteristics of the Population
Variable | Men (n = 63) | Women (n = 21) | p value |
---|---|---|---|
Age (years) | 59.00 (51.00−60.00) | 54.00 (43.50−60.00) | 0.083 |
Weight (kg) | 80.92 ± 13.69 | 70.10 ± 13.11 | 0.002 |
Waist Circumference (cm) | 102.05 ± 9.88 | 92.81 ± 11.45 | 0.001 |
Hip Circumference (cm) | 104.00 (99.00−109.00) | 102.00 (97.00−109.00) | 0.393 |
WHR | 0.97 ± 0.04 | 0.89 ± 0.07 | < 0.001 |
WHtR | 0.61 ± 0.06 | 0.59 ± 0.08 | 0.398 |
BMI (kg/m2) | 27.68 (25.86−30.85) | 28.35 (24.27−31.97) | 0.733 |
SBP (mm Hg) | 125.16 ± 13.14 | 121.43 ± 10.62 | 0.242 |
DBP (mm Hg) | 79.92 ± 6.38 | 79.05 ± 5.39 | 0.575 |
FPG (mg/dl) | 144.00 (121.00−167.00) | 106.00 (88.50−151.50) | 0.002 |
2hPPG (mg/dl) | 198.00 (155.00−252.00) | 161.50 (100.50−202.00) | 0.010 |
A1C (%) | 7.40 (6.20−8.30) | 6.10 (5.05−7.47) | 0.014 |
Plasma C-Peptide (ng/mL) | 2.65 ± 1.20 | 2.87 ± 1.18 | 0.711 |
FPI (mU/L) | 10.00 (5.90−13.80) | 7.00 (5.80−13.80) | 0.646 |
HOMA-IR | 3.54 (2.18−4.56) | 1.96 (1.45−4.05) | 0.031 |
HDL-C (mg/dl) | 40.63 ± 9.46 | 50.52 ± 9.86 | < 0.001 |
LDL-C (mg/dl) | 98.70 ± 27.36 | 100.95 ± 38.42 | 0.770 |
Non-HDL-C (mg/dl) | 131.35 ± 31.49 | 137.62 ± 47.96 | 0.580 |
Triglycerides (mg/dl) | 151.00 (115.00−177.00) | 115.00 (89.00−244.00) | 0.269 |
Total Cholesterol (mg/dl) | 171.98 ± 34.96 | 188.14 ± 48.14 | 0.167 |
UAE (mg/day) | 12.00 (5.65−28.00) | 12.00 (2.80−26.00) | 0.689 |
Serum Creatinine | 1.11 ± 0.19 | 0.90 ± 0.16 | < 0.001 |
Serum Uric Acid | 6.00 ± 1.20 | 5.09 ± 1.13 | 0.006 |
ALT (IU/L) | 28.50 (22.00−39.00) | 20.00 (15.25−25.25) | 0.002 |
AST (IU/L) | 22.00 (17.75−28.00) | 20.00 (16.00−24.50) | 0.127 |
ALKP (IU/L) | 127.85 ± 63.65 | 122.89 ± 45.53 | 0.760 |
GGT (IU/L) | 23.00 (18.00−35.00) | 17.90 (15.00−26.00) | 0.086 |
25(OH)D | 14.95 (8.21−19.75) | 23.00 (9.50−29.50) | 0.062 |
hs-CRP | 1.00 (1.00−1.22) | 0.90 (1.00−2.45) | 0.862 |
Homocysteine | 10.88 ± 3.14 | 9.07 ± 3.33 | 0.054 |
Fibrinogen | 3.20 ± 0.81 | 3.21 ± 0.70 | 0.983 |
SHBG (nmol/L) | 35.60 (28.00−50.00) | 45.00 (33.50−71.86) | 0.022 |
Table 2.
Correlations Relating SHBG and Parameters of Metabolic Derangement
Men (n = 63) | Women (n = 21) | |||
---|---|---|---|---|
r |
p value |
r | p value | |
Central Obesity | ||||
Waist Circumference (cm) | −0.296 | 0.018 | −0.144 | 0.534 |
BMI (kg/m2) | −0.270 | 0.032 | −0.256 | 0.263 |
Hyperglycemia | ||||
FPG (mg/dl) | 0.169 | 0.186 | −0.027 | 0.909 |
2hPPG (mg/dl) | 0.137 | 0.289 | 0.066 | 0.782 |
A1C (%) | 0.032 | 0.803 | −0.099 | 0.677 |
Plasma C- Peptide (ng/mL) |
−0.179 | 0.382 | −0.600 | 0.285 |
FPI (mU/L) | −0.318 | 0.011 | −0.158 | 0.494 |
HOMA-IR | −0.262 | 0.038 | −0.101 | 0.662 |
Dyslipidemia | ||||
HDL-C (mg/dl) |
−0.094 | 0.464 | 0.154 | 0.505 |
LDL-C (mg/dl) | −0.260 | 0.040 | −0.156 | 0.500 |
Non-HDL-C (mg/dl) |
−0.330 | 0.008 | −0.030 | 0.898 |
Total Cholesterol (mg/dl) |
−0.305 | 0.015 | 0.012 | 0.958 |
Triglycerides (mg/dl) |
−0.272 | 0.031 | −0.201 | 0.381 |
Hypertension | ||||
SBP (mmHg) | −0.033 | 0.795 | 0.099 | 0.669 |
DBP (mmHg) | −0.120 | 0.350 | −0.264 | 0.248 |
Other Variables | ||||
Age (years) | 0.284 | 0.024 | 0.108 | 0.641 |
Hip Circumference (cm) | −0.295 | 0.019 | −0.153 | 0.509 |
WHR | −0.089 | 0.486 | 0.010 | 0.964 |
WHtR | −0.324 | 0.010 | −0.279 | 0.220 |
UAE (mg/day) | −0.002 | 0.991 | N/A | N/A |
Serum Creatinine |
−0.112 | 0.384 | 0.009 | 0.971 |
Serum Uric Acid |
−0.232 | 0.068 | −0.018 | 0.945 |
ALT (IU/L) | 0.008 | 0.953 | 0.029 | 0.905 |
AST (IU/L) | 0.138 | 0.283 | 0.187 | 0.431 |
ALKP (IU/L) | 0.025 | 0.852 | −0.141 | 0.576 |
GGT (IU/L) | 0.022 | 0.879 | −0.455 | 0.160 |
25(OH)D | 0.231 | 0.076 | 0.143 | 0.583 |
hs-CRP | −0.073 | 0.598 | 0.056 | 0.831 |
Homocysteine | −0.239 | 0.105 | −0.230 | 0.392 |
Fibrinogen | −0.237 | 0.122 | −0.046 | 0.875 |
Fig 1.
Comparison of Serum SHBG among People with or without the MetS in the Population Cohort. Error Bars Represent Standard Error of the Mean (p value < 0.05).
Correlations Relating SHBG and Parameters of Metabolic Derangement
For determining the relations between serum concentration of SHBG and metabolic derangements, we investigated the relation between plasma levels of SHBG and others laboratory parameters with using Pearson correlation study. Table 2 shows that central obesity including waist circumference and BMI were significantly higher in men with lower plasma concentration of SHBG in compare to men with normal level of SHBG (P<0.05). Also, the concentration of LDL-C (P<0.05), non-HDL-C (P<0.01), total cholesterol (P<0.05), triglycerides (P<0.05), serum creatinine (P<0.05), FPI (P<0.05) and HOMA-IR (P<0.05) increased in men with higher plasma level of SHBG. On the other hand, we observed that older men with higher hip circumference and waist-to-height ratio (WHtR) have an abnormal level of SHBG (P<0.05). One-way ANOVA analysis revealed that there is a significant deference in mean log-SHBG value between individual with and without MetS (P<0.05). Figure 1 shows that the individuals with MetS (without considering the genders) have a significantly lower mean log-SHBG value in compare to healthy individuals (P<0.05).
Fig 2.
Association of Log-SHBG with The Number of Metabolic Abnormalities. Log-SHBG Values Is Not Significantly Decreased in Subjects with More Metabolic Abnormalities (0 to 5; ANOVA F: 1.354, p value for linear trend = 0.120).
Table 3.
Logistic Regression Models for the Association of SHBG with the MetS and its individual components among Men and Women.
Dependent Variable | Crude Model | Multivariate Adjusted Model | |||
---|---|---|---|---|---|
OR (95% CI) | p value | OR (95% CI) | p value | ||
Men (n = 63) | |||||
Central Obesity | 0.958 (0.911 to 1.007) | 0.095 | N/A | N/A | |
Raised Triglycerides | 0.976 (0.945 to 1.008) | 0.145 | 0.987 (0.948 to 1.028) | 0.534 | |
Reduced HDL-C | 1.004 (0.974 to 1.035) | 0.777 | 0.992 (0.951 to 1.035) | 0.715 | |
Raised Blood Pressure | 1.029 (0.996 to 1.064) | 0.090 | 1.025 (0.977 to 1.077) | 0.311 | |
Raised FPG | 1.020 (0.925 to 1.124) | 0.695 | N/A | N/A | |
MetS | 0.976 (0.941 to 1.012) | 0.181 | 0.948 (0.883 to 1.017) | 0.135 | |
Women (n = 21) | |||||
Central Obesity | 0.988 (0.962 to 1.016) | 0.394 | N/A | N/A | |
Raised Triglycerides | 0.989 (0.960 to 1.019) | 0.459 | N/A | N/A | |
Reduced HDL-C | 0.992 (0.966 to 1.019) | 0.553 | N/A | N/A | |
Raised Blood Pressure | 0.995 (0.968 to 1.023) | 0.732 | N/A | N/A | |
Raised FPG | 0.997 (0.971 to 1.024) | 0.838 | N/A | N/A | |
MetS | 0.977 (0.944 to 1.011) | 0.182 | N/A | N/A |
Association between SHBG and MetS
In the current work, results obtained from one-way ANOVA analysis shows that plasma concentration of SHBG (Log-SHBG) is not significantly decreased in subjects with more metabolic abnormalities (P>0.05) (Figure 2). Five metabolic abnormalities including central obesity, raised FPG, reduced HDL-C, raised triglycerides and raised blood pressure are not significantly change in patients with lower plasma level of SHBG. In table 3, analysis demonstrated that there is no significant difference between the patients have lower plasma level of SHBG and the developing of MetS in them. In this regard, we investigated the five metabolic abnormalities which occur in patients with MetS, in individuals with a lower concentration of SHBG. The results show that there are no significant differences between lower plasma level of SHBG and metabolic abnormalities and finally MetS in both men and women (P>0.05). As mentioned in table 4, Multivariate Regression Analysis among men and women determined that plasma level of SHBG is associated to Log-Hip Circumference, Non-HDL-C, and Log-25(OH)D (P<0.05). On the other hand, no significant differences were seen between plasma level of SHBG and Log-Age, Log-BMI, DBP, Log-FPI, Log-HOMA-IR, Non-HDL-C, Log-Triglycerides, Serum Creatinine, Log-25(OH) D, and Log-hs-CRP when we investigated both men and women together (P>0.05).
Table 4.
Multivariate Regression Analysis Determining the Significant Correlates of SHBG among Men and Women.
Men (n = 63) | Women (n = 21) | |||
---|---|---|---|---|
Variables | β | p value | β | p value |
Log-Age | 0.116 | 0.521 | N/A | N/A |
Log-Hip Circumference | −0.712 | 0.020 | N/A | N/A |
Log-BMI | 0.444 | 0.163 | N/A | N/A |
DBP | −0.037 | 0.813 | N/A | N/A |
Log-FPI | −0.639 | 0.035 | N/A | N/A |
Log-HOMA-IR | 0.443 | 0.133 | N/A | N/A |
Non-HDL-C | −0.296 | 0.028 | N/A | N/A |
Log-Triglycerides | −0.051 | 0.698 | N/A | N/A |
Serum Creatinine | −0.159 | 0.233 | N/A | N/A |
Log-25(OH)D | 0.301 | 0.041 | N/A | N/A |
Log-hs-CRP | 0.081 | 0.527 | N/A | N/A |
Discussion
In this study, we selected 84 middle-aged men and women randomly for our population. Our results revealed that SHBG levels were higher in women. In addition, we suggested that lower plasma level of SHBG could contributed to some laboratory parameters such as LDL-C, total cholesterol, triglycerides and etc. in men, but not in women. On the other hand, we observed that concentration of SHBG is higher in patients with MetS; however, results from our experiment showed that there is no relation between lower level of SHBG and five components of MetS such as central obesity, raised FPG, reduced HDL-C, raised triglycerides and raised blood pressure in both men and women. SHBG is a glycoprotein transporter in blood which involved in the circulating of sex steroids.14 The expression of this transporter modulated by several parameters such as the androgen/estrogen, glucocorticoids, insulin and etc.15-17 It should be noted that the plasma level of SHBG is significantly lower in men.18 Numerous studies have shown that low plasma levels of SHBG associated with several components of the MetS in both men and women.19-21 It was suggest that low SHBG levels contributed to increase abdominal obesity, lipid profiles including higher triglyceride levels and lower high-density lipoprotein (HDL)-cholesterol, hyper insulinemia, glucose intolerance or insulin resistance.22,23 Also, some studies showed that MetS could increase the risk of CVD and T2DM.24,25 Therefore, it could be concluded that SHBG levels could use as a predictor the development of diabetes or CVD, however, this conclusion is not in line with some studies. Laaksonen et al. showed that the risk of MetS has been increased at the lowest level of testosterone when compared to the highest.26,27 In line with mentioned study, others have reported that increasing in the levels of total testosterone and SHBG are related to decrease the risk of MetS dependently on age, smoking and BMI,28 however, the mechanism by which higher levels of SHBG might protect against the development of MetS is unclear. However, few studies failed to show any relation between testosterone and MetS.29 In this study, we observed that the patients who suffer from MetS have a lower plasma level of SHBG in compare to healthy population in both men and women. Nonetheless, some articles have shown that the plasma level of SHBG could be predictor for the MetS and its development.30 On the other hand, we observed that there is no significant relation between numbers of metabolic abnormalities and log-SHBG value. These data suggest that although in MetS the plasma level of SHBG has been decreased, however, there is no significant association between development of MetS and SHBG concentration. On the other hand, for investigating the relation between SHBG and MetS in men and women separately, we compared the data obtained from men and women with lower level of SHBG with those with normal SHBG concentration. The results showed that there is no significant difference between those with lower and normal SHBG level in five components of metabolic abnormalities. It was hypothesized that SHBG and sex steroids such as testosterone are directly associated with metabolic abnormalities including HDL-cholesterol by increasing the hepatic production of apolipoprotein A-I, the major protein constituent of nascent high-density lipoprotein particles.31 Also, Low circulating levels of testosterone and subsequently low plasma level of SHBG were observed in obesity, which is accompanied by insulin resistance.32 These data supported that due to concentration of testosterone the metabolic abnormalities are higher men in compare to women, however some studies revealed that in premenopausal women the association between plasma concentration of SHBG and metabolic abnormalities is similar to which observed in men.18 Although, the significant association between SHBG and HDL cholesterol levels in men was seen in some studies, however, there are some articles which have revealed the conflicted results.33 The reasons for these controversies are unknown. Nevertheless, results from our present study suggest that the concentration of SHBG is mostly sex-depended, however, we observed abnormal lipid profile in men with lower level of SHBG such as increased in LDL-C, total cholesterol and triglycerides and decreased in non-HDL-C. Therefore, our results are in confirmation of previous articles which showed SHBG is associated with some of five components of MetS only in men. Although, our results are not in line with many articles which investigated the role of SHBG in MetS in men and women, however, the data obtained from analysis showed that there is a significant association between SHBG and Log-Hip Circumference, Non-HDL-C and Log-25(OH)D in both men and women.
In this study we demostrated that there is a relation between lower SHBG concentration and MetS, however, SHBG is not a powerful enough factor to use as a predictor of MetS alone. Also, there is no association between plasma level of SHBG and development of five components of MetS. In addition, this study suggest that lower SHBG level may contributed to lipid profiles.
Acknowledgments
None.
List of acronyms
- CVD
cardiovascular disease
- DHT
dihydrotestosterone
- FI
Fasting insulin
- HOMA-IR
Homeostatic model assessment of insulin resistance
- FPG
fasting plasma glucose
- HDL-C
High-density lipoprotein cholesterol
- HepG2
hepatoma cell line
- HbA1c
glycated hemoglobin
- hsCRP
high sensitivity C-reactive protein
- LDL
low-density lipoprotein
- MetS
metabolic syndrome
- SHBG
sex hormone-binding globulin
- SUA
serum uric acid
- T2DM
type 2 diabetes mellitus
Funding Statement
Funding: No funding for this research project.
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