Original Article Thyroid Stimulating Hormone Metabolic Syndrome Pak Armed Forces Med J 2015; 65(2):

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Original Article Thyroid Stimulating Hormone Metabolic Syndrome Pak Armed Forces Med J 2015; 65(2): 206-10 RELATIONSHIP BETWEEN THYROID STIMULATING HORMONE AND VARIOUS COMPONENTS OF METABOLIC SYNDROME Shameela Majeed, Rizwan Hashim*, Najmus Sahar** Army Medical College National University of Sciences and Technology (NUST) Islamabad, *Rawal Institute of Health Sciences Islamabad, **Military Hospital Rawalpindi ABSTRACT Objective: To determine the relation between thyroid stimulating hormone and various components of metabolic syndrome. Study Design: Descriptive cross-sectional study. Place and Duration of Study: Pathology department, Army Medical College of National University of Sciences and Technology (NUST) Islamabad and Military Hospital (MH), Rawalpindi, Pakistan; from January to March 2013. Material and Methods: Hundred adult inhabitants (30-60 years) of Rawalpindi participated in this study. Subjects who fulfilled the WHO criteria for metabolic syndrome (MetS) were included and those who had any thyroid illness, or were using any thyroid medications were excluded from this study. For thyroid function tests (TFT s), serum thyroid stimulating hormone (TSH), total tri-iodothyronine (TT3), free throxine (FT4) were estimated. Insulin resistance (IR) was measured by Homeostasis Model Assessment for IR (HOMA-IR). Data was analyzed by SPSS-18. Results: Out of 50 subjects of control group, 26 (52%) were male and 24 (48%) were female. Basal metabolic rate (BMI), serum triglyceride (TG), HOMA-IR were higher and serum high density lipoprotein cholesterol (HDL-c) was lower in MetS patients. There was no significant difference in serum TT3 and FT4 between MetS patients and control group, however, mean serum TSH levels were higher in MetS (2.622 + 0.924 vs 5.002 + 1.074 miu/l, p<0.001). In correlation analysis, serum TSH was positively and significantly correlated with BMI (r=0.344, p=0.014) and HOMA-IR (r=0.419, p<0.002). Conclusion: These results suggest that serum TSH correlates with various components of metabolic syndrome patients. Analysis of serum TSH levels in metabolic syndrome patients may prove beneficial in preventing the various cardiometabolic complications in such patients. Keywords: Body-mass index, Metabolic syndrome, Thyroid function tests. INTRODUCTION Metabolic syndrome hypothesized by Reaven 1 is a cluster of hyperglycaemia, hyperinsulinaemia, hypertension and dyslipidaemia 2. Over the last two decades, there has been a striking increase in number of people with MetS 3. Millions of people in developing countries are facing this burden as it is associated with a two- fold increased risk of CVD and a five- fold increased risk of DM 4. Although prevalence of obesity is relatively low in Asia as compared to the developed countries, it is growing into a significant public health problem 5. Common factors leading to this increasing epidemic are obesity, dyslipidaemia Correspondence: Dr Shameela Majeed, House No. 1-A, Gulzare-e-Quaid, Rawalpindi. Email: dr.shameela.m@gmail.com Received: 10 Sep 2013; Accepted: 11 Dec 2013 and insulin resistance which are also seen in combination in MetS 6. Thyroid, which is the master gland of the body controls gene transcription, energy metabolism, growth and development by releasing two hormones known as T3 and T4. These hormones also effect blood pressure, glucose and lipid metabolism 7. There is an increasing evidence that thyroid dysfunction is associated with obesity, so it is hypothesized that there might have an association between thyroid gland and metabolic syndrome 8. Increase adipose tissue in MetS not only serve as a energy storage house, but also act as an interconnecting link between various target organs and central nervous system (CNS) by functioning as an endocrine organ 9. Leptin, one of the important cytokines released by adipose tissue, interacts with the hypothalamicpituitary-thyroid axis 10. This adipocytokine (leptin) together with TSH is involved in 206

causing abnormalities in thyroid function tests via insulin-like growth factor 1 (IGF-1) 11. Studies have been done regarding this topic in developed countries, however, reported clinical data is scarce in Pakistan. This knowledge gap was addressed by designing a study to find the relationship between thyroid stimulating hormone and various components of metabolic syndrome like basal metabolic rate (BMI), HOMA-IR, serum triglyceride. MATERIAL AND METHODS This case control study was carried out in Pathology Department, Army Medical College of National University of Science and Technology (NUST) Islamabad and Military Hospital (MH), Rawalpindi, Pakistan (Jan- March 2013). Institutional Ethics Committee gave the permission of this project. 50 patients of MetS along with age and gender matched controls were included after obtaining their informed consent. WHO criteria was used for diagnosing the patients of MetS; which consist of insulin resistance (IR) plus any 2 of the following: BMI > 30 kg/m 2. Serum triglyceride 1.7mmol/l. Serum HDL cholesterol < 1.0 mmol/l in women and < 0.9 mmol/l in men. Patients were excluded if they had any history of liver, thyroid, hematological and neoplastic diseases. Patients with infections, inflammatory and autoimmune diseases, familial hyperlipidaemia, pregnancy, lactation and those who were unable to give informed consent were also excluded. Information regarding the demographic data (age, sex etc) and complete history was obtained and entered on a pre-designed proforma. Height was measured to the nearest centimeter (cm) with a standardized measuring chart and weight was measured to the nearest kilogram (kg) with a standardized scale without shoes. Body mass index (BMI) was calculated by the formula = weight (kg) / height (m 2 ). Ten ml of fasting venous blood sample was collected under sterile conditions and equal amounts were transferred to a plain vacutainer for serum analysis and EDTA tube for plasma analysis. Serum was separated by centrifugation for 15 minutes. Routine Figure-1: Comparison of gender between control and cases of metabolic syndrome. investigations was done on the same day. The serum for insulin measurements was stored at - 20 0 C, until the biochemical analysis. Plasma glucose, serum triglyceride (TG), plasma high density cholesterol (HDL-c) were estimated by the enzymatic colorimetric method by using Globe diagnostic kits on fully automated chemistry analyzer (Selectra- E).Controls were run with each run. Thyroid hormones (TSH, TT3, FT4) and Insulin were measured on Access-2 immunoassay (Beckman Coulter) based on principle of chemiluminance. Insulin resistance (IR) was measured by Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) by the following formula: HOMA-IR= fasting plasma glucose (mmol/l) fasting plasma insulin (µiu/ml) / 22.5 (Value > 2.5 was considered as evidence of insulin resistance). Data had been analyzed using Statistical Package for the Social Sciences (SPSS) version- 18. Descriptive statistics were used to describe the data. Independent samples t-test was applied to compare the variables between the groups. Pearson correlation coefficient was calculated to study the relationship of TSH with different variables. A p-value < 0 05 was considered to indicate statistical significance.

RESULTS This study included 100 patients. Among the 50 MetS patients, 28 (56%) were male and 22 (44%) were female while in control group, 26 (52%) were male and 24 (48%) were female (Figure-1). BMI, serum TG, HOMA-IR were DISCUSSION Metabolic syndrome is a multiplex disorder consisting of hypertension, dyslipidaemia, obesity and abnormal glucose and insulin metabolism 12. This syndrome doubles the risk of cardiovascular diseases Table-1: Comparison of variables between metabolic syndrome cases and controls. Cases Controls p-value Mean and SD Mean and SD Age 44.30 ± 7.88 45.24 ± 7.99 0.555 Body-mass index 29.64 ± 1.72 22.70 ± 1.03 < 0.001 (BMI, unit: kg/m 2 ) Fasting plasma Glucose (mmol/l) 7.10 ± 0.896 4.33 ± 0.629 < 0.001 Fasting plasma Insulin (µiu/ml) 28.77 ± 1.96 11.77 ± 1.12 < 0.001 HOMA-IR 9.15 ± 1.77 2.24 ± 0.206 < 0.001 Serum Triglyceride 4.304 ± 1.500 1.009 ± 0.302 < 0.001 (TG, unit: mmol/l) Plasma High density lipoprotein 0.763 ± 0.098 2.507 ± 0.382 < 0.001 cholesterol (HDL-c, unit: mmol/l) Serum Total tri-iodothyronine 2.108 ± 0.410 1.890 ± 0.363 0.006 (TT3, unit: nmol/l) Serum Free throxine (FT4, unit: pmol/l) 81 ± 1.914 15.38 ± 3.350 < 0.001 Serum Thyroid stimulating 5.002 ± 1.074 2.622 ± 0.924 < 0.001 hormone (TSH, unit: miu/l) Table-2: Correlation of TSH with various components of metabolic syndrome. r-value p-value Body-mass index (BMI, unit: kg/m 2 ) 0.344 0.014 HOMA-IR 0.419 0.002 Serum Triglyceride (TG, unit: mmol/l) 0.412 0.003 Plasma High density lipoprotein cholesterol (HDL-c, unit: mmol/l) -0.344 0.014 higher and plasma HDL-c was lower in group of MetS. Regarding the thyroid function tests, there was no significant difference in serum TT3 and FT4 between MetS and control group, however, mean serum TSH levels were higher in MetS ( 2.622 + 0.924 vs 5.002 + 1.074 miu/l, p<0.001) as shown in Table-1. When correlation analysis (Table-2) was performed to find the relationship of serum TSH with various components of MetS, the results showed that serum TSH was positively and significantly correlated with BMI (r=0.344, p=0.014) HOMA-IR (r=0.419, p<0.002) and serum Triglyceride (r=0.412, p=0.003). whereas the risk of developing Type-2 DM increases to 5-fold 13. Patients with metabolic syndrome also suffer abnormalities in their thyroid function tests (TFT s) 14. Moreover, many studies support the fact that widespread and fundamental metabolic effects of thyroid hormones are associated with various components of MetS 15,16. Significant changes in thyroid function tests that occur in MetS patients suggest a direct relationship between adiposity that occur in metabolic syndrome and derangement that adiposity cause in hypothalamic-pituitary-thyroid axis 17. Study has been done emphasizing the significance of thyroid function test in newly diagnosed cases of Metabolic syndrome as increased frequency 208

of thyroid disorders has been observed in MetS patients 18. The most important finding in our study is the elevated serum TSH levels, however, the levels of serum TT3 and FT4 remains within the reference interval in MetS patients (Table-1). Studies supporting these findings also indicates a higher level of serum TSH and within normal reference range values of TT3 and FT4 in morbidly obese people 19,20. Study done in Chinese population, however, documented not only the raised levels of TSH, but also low levels of serum FT4 has been observed in patients of metabolic syndrome 21. Whereas both the levels of serum TT3 and FT4 were in the lower reference interval in another study 22. In correlation analysis, a significant positive correlation of serum TSH with various components of MetS like basal metabolic rate (BMI) and HOMA-IR has been found in MetS patientsprevious studies also established a positive correlation of serum TSH with basal metabolic rate BMI, HOMA-IR and serum triglycerides 13,23. In this study, as serum TT3 and FT4 remain in the nomal reference interval, so this study unable to establish any relation of either TT3 and FT4 with the various components of MetS. Other studies in which low levels of serum FT4 along with elevated levels of serum TSH has been found, also establish a positive correlation of both the serum TSH and FT4 with MetS components 24,25. Elevated levels of serum TSH and within the reference interval serum TT3 and FT4 in our study suggest a state of subclinical hypothyroidism (SHO) in metabolic syndrome patients. Hypothyroidism and metabolic syndrome are well-recognized risk factors for various cardiovascular diseases 26. Insulin resistance (IR) as shown by the significantly raised values of HOMA-IR (also one of the WHO diagnostic criteria of MetS) has been reported for the first time in 2009 by Eirini et al., in patients of subclinical hypothyroidism 27,28. There is no agreed upon cut-off value for insulin resistance, however, a value > 2.5 may be considered as evidence of insulin resistance 29,30,31. Another study also shows that insulin resistance (IR) is one of the important laboratory finding seen in subclinical hypothyroidism 32. Study by Semra et al., showed that elevated serum TSH levels in MetS patients is further involved in causing the proliferation of thyroid follicles 9. A positive and significant correlation was found between serum TSH and thyroid volume 23. CONCLUSION This study concludes that serum TSH correlates positively with various components of metabolic syndrome patients like BMI, HOMA-IR and serum TG, whereas a negative correlation has been observed with plasma HDL-c. Analysis of serum TSH levels in metabolic syndrome patients may prove beneficial in preventing the various cardiometabolic complications, as these patients are at an increased risk of going into a state of subclinical hypothyroidism. CONFLICT OF INTEREST This study has no conflict of interest to declare by any author. REFERENCES 1. Reaven GM. Role of insulin resistance in human disease. Diabetes 1988; 37: 1595-607. 2. Yadav A, Jyoti P, Jain SK, Bhattacharjee J. Correlation of adiponectin and leptin with Insulin Resistance: A pilot study in healthy north Indian population. Ind J Clin Biochem 2011; 26(2): 193-196. 3. Basit A, Shera AS. Prevalence of metabolic syndrome in Pakistan. Metabo Syndr Relat Disord 2008; 6(3): 171-5. 4. Li Wc, Hsiao KY, Chen IC, Chang YC, Wang SH, Wu KH. Serum leptin is associated with cardiometabolic risk and predicts metabolic syndrome in Taiwanese adults. Cardiovascular Diabetology 2011; 10: 36. 5. Pan WH, Yeh WT, Weng LC. Epidemiology of metabolic syndrome in Asia. Asia Pac J Clin Nutr 2008; 17: 37-42. 6. Forouhi NG, Sattar N, Mckeigue PM. Relation of C-reactive protein to body fat distribution and features of the metabolic syndrome in Europeans and South Asians. International journal of obesity 2001; 25: 1327-31. 7. Zimmermann-Belsing T, Brabant G, Holst JJ, Feldt-Rasmussen U. Circulating leptin and thyroid dysfunction. European Journal of endocrinology 2003; 149: 257-271. 8. Kokkoris P, Pi-Sunyer FX. Obesity and endocrine disease. Endocrinology and Metabolic Clinics of North America 2003; 32: 895-914. 9. Semiz S, Senol U, Bircan O, Gumuslu S, Bilmen S, Bircan I. Correlation between age, body size and thyroid volume in an endemic area. Journal of Endocrinological Investigation 2001; 24: 559 563. 10. 10. Islam M. Obesity: An epidemic of the 21st century J Pak Med Assoc Mar 2005; 55(3): 118-22. 11. Wauters, Considine RV, Van Gaal LF. Human leptin: from an adipocyte hormone to an endocrine mediator. European Journal OF Endocrinology 2000; 1443: 293-311. 209

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