Literature DB >> 22701856

Estimation of serum insulin, Homeostasis model assessment-insulin resistance and C-peptide can help identify possible cardiovascular disease risk in thyroid disorder patients.

Purvi Purohit1.   

Abstract

AIM: We aimed at evaluating the cardiovascular disease (CVD) risk of thyroid disorder patients at diagnosis, using the traditional lipid profile, apo-B and apo-A1 in correlation with serum insulin and insulin resistance (IR) and C-peptide.
BACKGROUND: With an ever increasing incidence of CVD in most urban populations, there has been a demand for newer techniques that could help in the early detection of the risk of this disease complex.
MATERIALS AND METHODS: The present study was conducted on 100 healthy controls and 150 hypothyroid and 70 hyperthyroid patients, coming for the first time to our OPDs. The patients were selected on the basis of symptomatology and serum T3, T4, thyroid stimulating hormone (TSH) evaluations. They were then analyzed for body mass index (BMI), blood pressure (BP), serum insulin, homeostasis model assessment-insulin resistance (HOMA-IR), C-peptide, lipid profile and apo-B and -A1. Statistical analysis was done using Student's "t" test and Spearman's coefficient of correlation.
RESULTS: The hypothyroid patients presented with high BMI, diastolic hypertension, dyslipidemia, hyperinsulinemia, IR and raised serum C-peptide. There was highly significant correlation of serum insulin, HOMA-IR and C-peptide with lipid fractions and CVD risk ratios, T. chol/HDLc and apo-B/apo-A1, in hypothyroid patients. The hyperthyroid patients presented with systolic hypertension and a significant correlation of T. chol/HDLc with HOMA-IR. Hyperthyroid patients also had hyperinsulinemia, but reduced serum C-peptide levels.
CONCLUSION: We conclude that the estimation of traditional lipid profile along with serum insulin, IR, C-peptide, apo-A1 and apo-B would not only help assess the thyroid status, but can also help in the early evaluation of a possible risk of CVD.

Entities:  

Keywords:  C-peptide; cardiovascular disease risk ratios; dyslipidemia; homeostasis model assessment-insulin resistance; hypertension

Year:  2012        PMID: 22701856      PMCID: PMC3354938          DOI: 10.4103/2230-8210.94263

Source DB:  PubMed          Journal:  Indian J Endocrinol Metab        ISSN: 2230-9500


INTRODUCTION

Thyroid disease is quite common in the general population and the disturbances of normal functioning of thyroid occur more frequently in the elderly than in the young.[1] The prevalence of thyroid dysfunction in adults in the general population ranges from 1 to 10% and is even higher in selected groups.[2-4] Thyroid function abnormalities could significantly affect the patient's lipid profile as well as management.[5] Both hypo and hyperthyroidism are associated with atherogenic lipid profiles. An association between thyroid dysfunction and dyslipidemia was first reported in 1930s.[6] The association of thyroid disorders with an increased risk for coronary heart disease is attributed to impaired metabolism of atherogenic lipids and lipoproteins. Dyslipidemia associated with the thyroid disorders have for long been associated with increased risk of cardiovascular disease (CVD) in these patients. The physicians have been consistently trying to regulate the serum lipid profile in the thyroid disorder patients for reducing the risk of CVD. But thyroid disorders are associated with not just an alteration of the metabolic parameters, i.e. the serum lipids or the sugar levels. It has been shown by various researchers over the years that thyroid hormones considerably influence the plasma levels of hormones like insulin and C-peptide.[7] Insulin and C-peptide are the pancreatic hormones which help stabilize the blood sugar level to normal. Hypothyroidism shows higher plasma insulin levels and the hyperthyroid state has lower plasma insulin.[7] The insulin resistance (IR) syndrome has been observed and reported in both hyper and hypothyroid states. Reaven[8] at the Banting lecture and in 1995[9] explored the role of IR in human diseases. It has been shown in various correlative studies that insulin, IR and C-peptide have a strong association with dyslipidemia in thyroid disorders.[1011]

Background

With an ever increasing incidence of CVD in most urban populations, there has been a demand for newer techniques that could help in the early detection of the risk of this disease complex. Western Rajasthan is also not an exception. The prevalence of CVDs in the Rajasthani urban and rural populations has been reported in the Jaipur Heart Watch Study – 1, 2 and 3 from 1999 to 2005. There were reportedly more cases of CVD in the urban population than in the rural population, owing to increasing obesity in the urban population. Moreover, with urbanization, there is an escalating problem of stressful lifestyle, compromised nutrition and an increased incidence of thyroid diseases with advancing age. There has been no population study reported in this part of western Rajasthan for the prevalence of thyroid disorders and associated CVDs. However, there have also been an increased number of thyroid disorder patients reporting with CVDs in our outpatient clinics.

Aim

In the present study, we have tried to delineate the biochemical parameters in addition to lipid profile that might be associated with the increased CVD risk in these patients. This may assist the physicians for a more efficient evaluation of the risk of CVD in thyroid disorder patients and its proper management.

MATERIALS AND METHODS

The present study was a part of Ph. D. research program of 3 years duration at Dr. S. N. Medical College, Jodhpur, in the Department of Biochemistry. The patients were taken from the outpatient thyroid clinics of Department of Medicine, Dr. S. N. Medical College and associated group of hospitals.

Criteria for selection of patients

A total of 320 subjects participated in this study. There were 100 healthy controls (50 each of males and females) with a mean age of 47 ± 12.5 years. Age-matched thyroid disorder patients were enrolled – 150 hypothyroid (73.3% females and 26.6% males) and 70 hyperthyroid (54.3% females and 45.71% males) patients. The thyroid disorder patients were selected on the basis of patients’ complaints and clinical and biochemical [thyroid stimulating hormone (TSH) evaluation] examination. An informed consent was taken from all the subjects. A performa was prepared and duly filled for each patient, regarding their complaints, family history, anthropometric and biochemical evaluations. All the patients included in the study who showed symptoms of thyroid disorders and with an abnormal TSH were confirmed as hypo/hyperthyroid by performing complete thyroid profile tests, i.e. T3 and T4 also. All the patients were diagnosed as hypo or hyperthyroid for the first time and were not taking any medication for diabetes mellitus or hypertension or hypolipidemic drugs.

Methods

Anthropometric analysis

Weight and height of all the subjects were taken in light clothing and without shoes. The body mass index (BMI) was then calculated using the formula: This gave an idea about the degree of obesity amongst the patients. Clinical examination of the patients included taking the blood pressure of the patients by auscultatory method.

Biochemical analysis

Fasting venous blood samples were taken (5 ml). Serum was separated after half an hour and evaluated biochemically for the following: serum insulin [enzyme-linked immunosorbent assay (ELISA)], serum C-peptide (ELISA), lipid profile (enzymatically), apo-A1 (immunoturbidimetrically), apo-B (immunoturbidimetrically) and Homeostasis model assessment-insulin resistance (HOMA-IR) (formula). All the biochemical tests were done using fully automated analyzer Chemwell of Ark Company. The observations were then subjected to essential statistical evaluations like mean, SD, Student's t-test (unpaired) to establish statistical significance, and Spearman's correlation coefficient was used to find out the correlation of various biochemical parameters and blood pressure with anthropometric parameter, BMI. The correlative analysis was carried out to identify the risk of CVD amongst the thyroid disorder patients at an early stage of the disease, which could give the physicians a novel array of tests that may help in choosing the correct modalities of treatment and improving the quality of patient's life.

RESULTS

The results of the study are presented in Figures 1–7.
Figure 1a

Anthropometric analysis of thyroid disorder patients and healthy controls

Figure 7

Serum apo – proteins in the thyroid disorder patients and healthy controls

Anthropometric analysis of thyroid disorder patients and healthy controls Hypertension in thyroid disorder patients as compared to healthy controls Abnormal TFT in thyroid disorder patients as compared to healthy controls Hyperinsulinemia in Thyroid disorder patients as compared to healthy controls Insulin resistance in thyroid disorder patients and healthy controls Abnormal C peptide levels in thyroid disorder patients as compared to healthy controls Serum lipid profile in thyroid disorder patients and healthy controls Serum apo – proteins in the thyroid disorder patients and healthy controls

DISCUSSION

The cardiovascular system is a major target of thyroid hormones, as it is sensitive to both excess and deficiency of the thyroid hormones at the tissue level.[1213] The cardiovascular risk in patients with hypothyroidism results from changes in the cardiovascular function and from accelerated atherosclerosis. For long, physicians have evaluated serum lipids in thyroid disorder patients to assess the thyroid function deterioration in these patients. Alterations in serum cholesterol levels, as observed in the current study, are a frequent finding in such patients (both hypo and hyperthyroid).[14-18] Similarly, the levels of serum apoproteins like apo-A 1 and apo-B are altered in thyroid disorders owing to the role of thyroid hormones in rate of synthesis of these apoproteins.[19] These apoproteins are elevated in the hypothyroid patients and reduced in the hyperthyroid patients[2021] consistent with our observations [Figure 7]. This alteration in the levels of apo-A 1 has been attributed to the influence of thyroid hormones on the distribution of apo-A1 and the composition of high density lipoprotein cholesterol (HDLc).[16] Alterations in serum lipoproteins are the major cause of atherosclerosis, which progresses to CVDs. Hypertension has been proven beyond doubt to be one of the major independent risk factors for heart disease and stroke. A close association has been reported between hypothyroidism and hypertension,[2223] in particular, diastolic hypertension, as observed in the current study. Similarly, systolic hypertension has been associated with hyperthyroidism, consistent with our observations Figure 1b].[24] The systolic hypertension of hyperthyroid and diastolic hypertension of the hypothyroid patients makes these patients prone to CVD.
Figure 1b

Hypertension in thyroid disorder patients as compared to healthy controls

Study of serum insulin metabolism at various levels of thyroid activity has been of great interest. Hyperinsulinemia has been observed in both hypo and hyperthyroidism as compared to the healthy controls [Figure 3], consistent with the findings of various researchers.[25-30] The hyperinsulinemia of hypothyroid patients in the present study was associated significantly with dyslipidemia characterized by raised total cholesterol,[10] triglycerides and cholesterol-rich lipoproteins, along with a rise of atherogenic apoprotein, apo-B [Figures 6 and 7]. Furthermore, the CVD risk ratios – T. chol/HDLc and apo-B/apo-A1 – showed a highly significant correlation to serum insulin [Table 1a], i.e. these ratios rose with increase of serum insulin. The hyperthyroid patients, however, were observed to have a nonsignificant, but negative correlation between serum insulin and various lipid fractions [Table 1b].
Figure 2

Abnormal TFT in thyroid disorder patients as compared to healthy controls

Figure 5

Abnormal C peptide levels in thyroid disorder patients as compared to healthy controls

Figure 6

Serum lipid profile in thyroid disorder patients and healthy controls

Table 1a

Correlation of serum insulin with lipid profile, apoproteins and ratios in hypothyroid patients

Table 1b

Correlation of serum insulin with lipid profile, apoproteins and ratios in hyperthyroid patients

Correlation of serum insulin with lipid profile, apoproteins and ratios in hypothyroid patients Correlation of serum insulin with lipid profile, apoproteins and ratios in hyperthyroid patients Thus, the evaluation of serum insulin in the thyroid disorder patients helps to assess the risk of CVD in these patients, as the risk increased with a rise of serum insulin. Persistent hyperinsulinemia leads to a state of IR. IR has been observed in both hypo and hyperthyroidismHowever, the present study showed a state of IR in hypothyroidism, but not a significant insulin-resistant state in the hyperthyroid patients as compared to the healthy controls [Figure 4]. The dyslipidemic state of the hypothyroid patients was clearly due to the significant association of HOMA-IR with the lipid fractions and the T. chol/HDLc, apo-B/apo-A1 ratios [Table 2a]. The hyperthyroid patients reportedly had a significant correlation of HOMA-IR with T. chol/HDLc ratio [Table 2b].
Figure 4

Insulin resistance in thyroid disorder patients and healthy controls

Table 2a

Correlation of HOMA-IR with lipid profile, apoproteins and ratios in hypothyroid patients

Table 2b

Correlation of HOMA-IR with lipid profile, apoproteins and ratios in hyperthyroid patients

Correlation of HOMA-IR with lipid profile, apoproteins and ratios in hypothyroid patients Correlation of HOMA-IR with lipid profile, apoproteins and ratios in hyperthyroid patients Serum C-peptide evaluations have been done consistently in the thyroid disorder patients to study the insulin kinetics and its effect on carbohydrate metabolism.[3132] However, the serum C-peptide evaluation in the present study showed a highly significant association with the lipoprotein fractions in the hypothyroid patients[33] [Table 3a]. Thus, it may be deduced that the raised serum C-peptide levels [Figure 5] indicate a state of dyslipidemia and deteriorated CVD risk ratios. However, no such association has been observed in hyperthyroid patients in the study [Table 3b].
Table 3a

Correlation of C-peptide with lipid profile, apoproteins and ratios in hypothyroid patients

Table 3b

Correlation of C-peptide with lipid profile, apoproteins and ratios in hyperthyroid patients

Correlation of C-peptide with lipid profile, apoproteins and ratios in hypothyroid patients Correlation of C-peptide with lipid profile, apoproteins and ratios in hyperthyroid patients The current study shows the hypothyroid patients to have the triad of metabolic syndrome – raised BMI, hypertension and dyslipidemia – making the patients highly susceptible to CVDs. The hyperthyroid patients show systolic hypertension, IR and a raised T. chol/HDLc ratio, which may be responsible for the CVD risk in these patients.

CONCLUSION

We conclude that the estimation of traditional lipid profile along with some additional parameters like serum insulin, IR, C-peptide, apo-A1 and apo-B would not only help assess the thyroid status, but can also help in the early evaluation of a possible risk of CVD.
  25 in total

Review 1.  Effects of thyroid hormone on the cardiovascular system.

Authors:  Serafino Fazio; Emiliano A Palmieri; Gaetano Lombardi; Bernadette Biondi
Journal:  Recent Prog Horm Res       Date:  2004

2.  Insulin secretion and sensitivity in hyperthyroidism.

Authors:  T S Jap; L T Ho; J G Won
Journal:  Horm Metab Res       Date:  1989-05       Impact factor: 2.936

Review 3.  Banting lecture 1988. Role of insulin resistance in human disease.

Authors:  G M Reaven
Journal:  Diabetes       Date:  1988-12       Impact factor: 9.461

4.  Plasma CRP, apolipoprotein A-1, apolipoprotein B and Lpa levels according to thyroid function status.

Authors:  Won-Young Lee; Jung-Yul Suh; Eun-Jung Rhee; Jeong-Sik Park; Ki-Chul Sung; Sun-Woo Kim
Journal:  Arch Med Res       Date:  2004 Nov-Dec       Impact factor: 2.235

5.  Hypothyroidism as a cause of hypertension.

Authors:  I Saito; K Ito; T Saruta
Journal:  Hypertension       Date:  1983 Jan-Feb       Impact factor: 10.190

6.  Association between insulin resistance and hypothyroidism in females attending a tertiary care hospital.

Authors:  Bhawna M Singh; B Goswami; V Mallika
Journal:  Indian J Clin Biochem       Date:  2010-05-27

7.  Changes in the distribution and composition of high-density lipoproteins in primary hypothyroidism.

Authors:  E Muls; M Rosseneu; G Lamberigts; P De Moor
Journal:  Metabolism       Date:  1985-04       Impact factor: 8.694

8.  Insulin resistance in Graves' disease: a quantitative in-vivo evaluation.

Authors:  P Cavallo-Perin; A Bruno; L Boine; M Cassader; G Lenti; G Pagano
Journal:  Eur J Clin Invest       Date:  1988-12       Impact factor: 4.686

9.  Insulin sensitivity in hyperthyroidism: measurement by the glucose clamp technique.

Authors:  A J McCulloch; P D Home; R Heine; M Ponchner; I Hanning; D G Johnston; F Clark; K G Alberti
Journal:  Clin Endocrinol (Oxf)       Date:  1983-04       Impact factor: 3.478

10.  Serum lipids and apolipoproteins A-I, A-II, and B in hyperthyroidism before and after treatment.

Authors:  E Muls; V Blaton; M Rosseneu; E Lesaffre; G Lamberigts; P De Moor
Journal:  J Clin Endocrinol Metab       Date:  1982-09       Impact factor: 5.958

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1.  Effect of insulin resistance in assessing the clinical outcome of clinical and subclinical hypothyroid patients.

Authors:  Ujwal Upadya B; Suma Mn; Srinath Km; Akila Prashant; Parveen Doddamani; Shilpa Sv
Journal:  J Clin Diagn Res       Date:  2015-02-01

2.  Hypertension association with serum lipoproteins, insulin, insulin resistance and C-Peptide: unexplored forte of cardiovascular risk in hypothyroidism.

Authors:  Purvi Purohit; Ranjana Mathur
Journal:  N Am J Med Sci       Date:  2013-03
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