<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JBM</journal-id><journal-title-group><journal-title>Journal of Biosciences and Medicines</journal-title></journal-title-group><issn pub-type="epub">2327-5081</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jbm.2022.104020</article-id><article-id pub-id-type="publisher-id">JBM-116666</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Association between Insulin Resistance and Metabolic Syndrome with Thyroid Status in Normal and Overweight/Obese Population: A Review
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nawoda</surname><given-names>Hewage</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Udaya</surname><given-names>Wijesekara</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rasika</surname><given-names>Perera</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Biochemistry, Faculty of Medical Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka</addr-line></aff><aff id="aff2"><addr-line>Department of Medical Laboratory Science, Faculty of Allied Health Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka</addr-line></aff><pub-date pub-type="epub"><day>30</day><month>03</month><year>2022</year></pub-date><volume>10</volume><issue>04</issue><fpage>236</fpage><lpage>253</lpage><history><date date-type="received"><day>17,</day>	<month>March</month>	<year>2022</year></date><date date-type="rev-recd"><day>18,</day>	<month>April</month>	<year>2022</year>	</date><date date-type="accepted"><day>21,</day>	<month>April</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: Hypothyroidism has multiple etiologies and manifestation where accurate diagnosis and appropriate treatment is required and is in?uenced by coexisting medical conditions. This paper describes evidence-based clinical causes and indications. 
  Objective: The objective is to review the clinical effect of hypothyroidism in different selected aspects and summarize the potential evidence about relationship between subclinical hypothyroidism with cardiovascular disease, diabetes mellitus, insulin resistance and mortality. 
  Data Sources: A systematic review was conducted by searching English-language articles identified from 23 databases and search engines, yielding over 1000 documents. 
  Study Selection: They are reports on the effects of hypothyroidism versus euthyroidism on obesity, insulin resistance, cardiovascular disease, coronary heart disease and mortality. 
  Data Extraction: Data from research articles on hypothyroidism including subclinical hypothyroidism (SCH) and overt hypothyroidism, insulin resistance including diabetes mellitus and risk for coronary heart disease (CHD) including metabolic syndrome were independently assessed and summarized. 
  Data Synthesis: Twelve of twenty-nine identified studies involved population-based cohorts, case controls and retrospective studies that included 4306 subjects. All 13 studies examined risks associated with subclinical hypothyroidism with type 2 diabetes mellitus (T2DM) and prevalence rates of SCH in T2DM patients ranged from 4.69% to 64.28% in the 12 included studies. Moreover, 4 studies out of the above 12 studies have revealed insulin resistance in the participants. Another population-based 12 studies have been carried out to assess hypothyroidism-related cardiac manifestation and according to the given data, average prevalence of CHD in hypothyroid participants is 25.20 (vary from 3.73 to 47.14) and it is 13.90 in euthyroid participants (vary from 1.17 to 38.49). 
  Conclusions: Type 2 diabetes mellitus people are more likely to get subclinical hypothyroidism and subclinical hypothyroid population also shows several complications associated with type 2 diabetes mellitus. Besides, subclinical thyroid dysfunction might represent a risk factor for coronary artery disease and mortality. 
 
</p></abstract><kwd-group><kwd>Subclinical Hypothyroidism</kwd><kwd> Euthyroidism</kwd><kwd> Diabetes Mellitus</kwd><kwd> Insulin Resistance</kwd><kwd> Coronary Heart Disease</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The circumstance where thyroid gland does not produce enough thyroid hormone is known as hypothyroidism. It is a common endocrine disorder and can be divided into 3 groups based on the cause of the disease as: 1) Primary hypothyroidism—caused commonly by iodine deficiency and autoimmune thyroiditis; 2) Central hypothyroidism—caused by conditions affecting the pituitary gland; 3) Congenital hypothyroidism (can be transient or central)—caused by maternal iodine deficiency, anti-TSH receptor antibodies or pituitary dysfunction [<xref ref-type="bibr" rid="scirp.116666-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref3">3</xref>]. Serum TSH, free T<sub>3</sub> and free T<sub>4</sub> levels are being measured to assess thyroid function. Based on the TSH and T<sub>4</sub> levels, hypothyroidism is classified into 2 different classes as: 1) Subclinical hypothyroidism—Elevated TSH and normal T<sub>4</sub> (TSH 4.6 to 10 mIU/L); 2) Overt hypothyroidism—Elevated TSH and low T<sub>4</sub> (TSH &gt; 10 mIU/L) [<xref ref-type="bibr" rid="scirp.116666-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref4">4</xref>].</p><p>Subclinical hypothyroidism, may be exogenous ((L-thyroxine [<xref ref-type="bibr" rid="scirp.116666-ref5">5</xref>] under-replacement in hypothyroid patients; medication with lithium, cytokines, iodine, or anti-thyroid drugs, and iodine 131 therapy or thyroidectomy) or endogenous (Hashimoto thyroiditis [<xref ref-type="bibr" rid="scirp.116666-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref7">7</xref>] and previous sub-acute or silent thyroiditis [<xref ref-type="bibr" rid="scirp.116666-ref8">8</xref>] ) [<xref ref-type="bibr" rid="scirp.116666-ref9">9</xref>]. Its prevalence ranges from 1.3% to 17.5%, depending on age, sex, and iodine intake [<xref ref-type="bibr" rid="scirp.116666-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref11">11</xref>]. People with thyroid antibodies caused by Hashimoto thyroiditis are more likely to get subclinical hypothyroidism [<xref ref-type="bibr" rid="scirp.116666-ref9">9</xref>]. Over time, untreated hypothyroidism can cause multiple clinical manifestations and complications. According to research data, subclinical hypothyroidism increases the risk of coronary heart disease, infertility, diabetes mellitus and obesity and it has been found that iodine deficiency is one of the main causes of hypothyroidism [<xref ref-type="bibr" rid="scirp.116666-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref15">15</xref>].</p><p>According to a survey conducted by National Health and Nutrition Examination Survey (NHANES III) in an unselected U.S. population over the age of 12 years, the prevalence of subclinical disease was 4.3% and overt disease was 0.3% [<xref ref-type="bibr" rid="scirp.116666-ref16">16</xref>] and in another study carried out in Framingham, 5.9% of women and 2.3% of men over the age of 60 years had TSH values over 10 mIU/L and 39% of whom had subnormal T<sub>4</sub> levels [<xref ref-type="bibr" rid="scirp.116666-ref17">17</xref>]. Moreover, a research conducted in Whickham, United Kingdom had come up with results that indicate that 9.3% of women and 1.2% of men had serum TSH values over 10 mIU/L [<xref ref-type="bibr" rid="scirp.116666-ref18">18</xref>] and the incidence of hypothyroidism in women was 3.5 per 1000 survivors per year and in men it was 0.6 per 1000 survivors per year [<xref ref-type="bibr" rid="scirp.116666-ref19">19</xref>]. Further results show that the risk of developing hypothyroidism in women with positive antibodies and elevated TSH was 4% per year versus 2% - 3% per year in those with either alone [<xref ref-type="bibr" rid="scirp.116666-ref19">19</xref>]. But in men, the relative risk rose even more in each category, but the rates remained well below those of women. <xref ref-type="table" rid="table1">Table 1</xref> represents the summary of the above-mentioned research with the prevalence of SCH and OHT in males and females with the TSH values.</p><p>The objectives of this review were to answer the following questions on hypothyroidism related clinical manifestations (<xref ref-type="table" rid="table2">Table 2</xref>): They are: “To determine the association between thyroid status and insulin resistance”, “To determine the association between thyroid status and presence of metabolic syndrome” and</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Prevalence of hypothyroidism</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Study</th><th align="center" valign="middle" >Subclinical</th><th align="center" valign="middle" >Overt</th><th align="center" valign="middle" >TSH</th><th align="center" valign="middle" >Comment</th></tr></thead><tr><td align="center" valign="middle" >NHANES III</td><td align="center" valign="middle" >4.3%</td><td align="center" valign="middle" >0.3%</td><td align="center" valign="middle" >4.5</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Colorado Thyroid Disease Prevalence</td><td align="center" valign="middle" >8.5%</td><td align="center" valign="middle" >0.4%</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >Abnormal thyroid function has multiple implications on public health</td></tr><tr><td align="center" valign="middle" >Framingham</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >Over age 60 years: 5.9% women; 2.3% men; 39% of whom had subnormal T<sub>4</sub></td></tr><tr><td align="center" valign="middle" >Whickham (UK)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >9.3% women; 1.2% men</td></tr></tbody></table></table-wrap><p>Sources: Hollowell et al., 2002 [<xref ref-type="bibr" rid="scirp.116666-ref16">16</xref>]; Canaris et al., 2000 [<xref ref-type="bibr" rid="scirp.116666-ref20">20</xref>]; Sawin et al., 1985 [<xref ref-type="bibr" rid="scirp.116666-ref17">17</xref>]; Vanderpump et al., 1995 [<xref ref-type="bibr" rid="scirp.116666-ref18">18</xref>]; Vanderpump and Tunbridge, 2002 [<xref ref-type="bibr" rid="scirp.116666-ref19">19</xref>]. NHANES, National Health and Nutrition Examination Survey.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Overview of the review article</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Participants</th><th align="center" valign="middle" >General population (especially women) including pregnant females from any country</th></tr></thead><tr><td align="center" valign="middle" >Key factors</td><td align="center" valign="middle" >Hypothyroidism, Insulin resistance, Diabetes Mellitus, Coronary Heart disease, Metabolic Syndrome,</td></tr><tr><td align="center" valign="middle" >Data Source</td><td align="center" valign="middle" >Databases and search engines</td></tr><tr><td align="center" valign="middle" >Study Design</td><td align="center" valign="middle" >Community based, Observational, Cross Sectional, Longitudinal surveys</td></tr></tbody></table></table-wrap><p>“To determine the association between thyroid status and anthropometric parameters among normal (controls) and overweight or obese (cases) study participants”.</p></sec><sec id="s2"><title>2. Methods</title><p>Data sources were journal articles about the effects of thyroid dysfunction in insulin resistance, metabolic syndrome, iodine deficiency, infertility and obesity in humans published between 1990 and September 2020. The following types of studies were included: nonrandomized controlled trials; prospective observational studies that had a control group, such as cohort studies (prospective and retrospective) and controlled before-and-after studies; and prospective observational studies that did not have a control group, including before-and-after studies, in addition, the following documents were excluded: conference abstracts, letters to the editor, and presentations. If there were multiple documents from the same country’s practice, only the most recent and comprehensive paper was included. The participants included in the review consisted of the general population older than 5 years (including pregnant women) from any country.</p><p>The literature for the review was based on electronic databases and the following databases were searched in May, 2020 and, only articles published in English from the following were perused: PubMed, MEDLINE, Embase, Web of Science, CINAHL (Cumulative Index to Nursing and Allied Health Literature) POPLINE, BIOSIS Previews, OpenGrey, Bibliomap, TRoPHI (Trials Register of Promoting Health Interventions), IBECS, Global Health Library, Indian Medical Journals, Native Health Research Database, and ProQuest Dissertation and Theses.</p><p>The full text of each relevant document was read independently by the reviewers and, from relevant documents, the information related to study location, study design, results and outcomes assessed were extracted. Finally, the extracted information was analyzed qualitatively; furthermore, the statistical significance of changes in outcomes of interest as reported in the studies was noted.</p></sec><sec id="s3"><title>3. Results</title><p>The database search yielded 1367 English documents; when duplicates were eliminated, 756 documents remained (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Titles were reviewed independently, and 602 documents were selected for abstract review. Of these, 48 full-text documents were retrieved and reviewed and based on the relevance 29 were included in the analysis.</p><sec id="s3_1"><title>3.1. Description of Documents</title><p>The documents selected for in-depth review presented evaluations of thyroid dysfunction, type 2 diabetes mellitus, insulin resistance and metabolic syndrome in 9 countries: India, The USA, The UK, China, Mongolia, Nigeria, Saudi Arabia, Italy, Spain.</p></sec><sec id="s3_2"><title>3.2. Concurrent Conditions of Special Signiﬁcance in Hypothyroid Patients</title><sec id="s3_2_1"><title>3.2.1. Prevalence of Subclinical Hypothyroidism (SCH) in Type 2 Diabetes Mellitus Patients</title><p>The data under review for this section contains data from 13 individual studies which included 863 cases and 4306 subjects (<xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="table" rid="table4">Table 4</xref>). Prevalence rates of SCH in T2DM patients ranged from 4.69% to 64.28% in the 13 included studies. It is known that gender and age may influence the observed prevalence of SCH in non-diabetic populations [<xref ref-type="bibr" rid="scirp.116666-ref16">16</xref>]. Several studies have found that non-diabetic adult females are more prone to get SCH compared to males [<xref ref-type="bibr" rid="scirp.116666-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref22">22</xref>]. Thus, a subgroup analysis was conducted to compute the prevalence rates according to gender, age, and location, trying to explain the heterogeneity. As shown in <xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="table" rid="table4">Table 4</xref>, sub-group analysis revealed that female T2DM participants had more SCH than male T2DM patients, and elderly T2DM patients (&gt;60 years old) were more frequently suffering from SCH.</p><p>Among the total number of 4306, 863 had suffered either subclinical hypothyroidism or overt hypothyroidism associated T2DM. Studies have also revealed</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Description of the studies included in the review on the summarization of prevalence of SCH in T2DM patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Author</th><th align="center" valign="middle" >Published Year</th><th align="center" valign="middle" >Country and area</th><th align="center" valign="middle" >Mean Age</th><th align="center" valign="middle" >Cases (n)</th><th align="center" valign="middle" >Total (n)</th><th align="center" valign="middle" >Prevalence (%)</th><th align="center" valign="middle" >Research Type</th></tr></thead><tr><td align="center" valign="middle" >Vanderpump M et al. [<xref ref-type="bibr" rid="scirp.116666-ref23">23</xref>]</td><td align="center" valign="middle" >1995</td><td align="center" valign="middle" >UK</td><td align="center" valign="middle" >50 &#177; 20</td><td align="center" valign="middle" >178</td><td align="center" valign="middle" >1051</td><td align="center" valign="middle" >16.9</td><td align="center" valign="middle" >Cohort</td></tr><tr><td align="center" valign="middle" >Ganie M et al. [<xref ref-type="bibr" rid="scirp.116666-ref24">24</xref>]</td><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >India</td><td align="center" valign="middle" >30 &#177; 5</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >291</td><td align="center" valign="middle" >21.30</td><td align="center" valign="middle" >CC</td></tr><tr><td align="center" valign="middle" >Mohn A et al. [<xref ref-type="bibr" rid="scirp.116666-ref25">25</xref>]</td><td align="center" valign="middle" >2002</td><td align="center" valign="middle" >Italy</td><td align="center" valign="middle" >15 &#177; 5</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >281</td><td align="center" valign="middle" >4.62</td><td align="center" valign="middle" >CC</td></tr><tr><td align="center" valign="middle" >Vondra K et al. [<xref ref-type="bibr" rid="scirp.116666-ref26">26</xref>]</td><td align="center" valign="middle" >2005</td><td align="center" valign="middle" >USA</td><td align="center" valign="middle" >26 &#177; 10</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >52.22</td><td align="center" valign="middle" >CS</td></tr><tr><td align="center" valign="middle" >Vyakaranam S et al. [<xref ref-type="bibr" rid="scirp.116666-ref27">27</xref>]</td><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >India</td><td align="center" valign="middle" >30 &#177; 10</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >CS</td></tr><tr><td align="center" valign="middle" >Demitrost L et al. [<xref ref-type="bibr" rid="scirp.116666-ref28">28</xref>]</td><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >India</td><td align="center" valign="middle" >55 &#177; 10</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >202</td><td align="center" valign="middle" >16.3</td><td align="center" valign="middle" >RS</td></tr><tr><td align="center" valign="middle" >Nada A [<xref ref-type="bibr" rid="scirp.116666-ref29">29</xref>]</td><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >Saudi Arabia</td><td align="center" valign="middle" >32 &#177; 10</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >64.28</td><td align="center" valign="middle" >CC</td></tr><tr><td align="center" valign="middle" >Zhang D et al. [<xref ref-type="bibr" rid="scirp.116666-ref30">30</xref>]</td><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >Changsha, China</td><td align="center" valign="middle" >50 &#177; 20</td><td align="center" valign="middle" >244</td><td align="center" valign="middle" >1294</td><td align="center" valign="middle" >18.86</td><td align="center" valign="middle" >CC</td></tr><tr><td align="center" valign="middle" >Hansen D et al. [<xref ref-type="bibr" rid="scirp.116666-ref31">31</xref>]</td><td align="center" valign="middle" >1999</td><td align="center" valign="middle" >Pennsylvania</td><td align="center" valign="middle" >5 - 17</td><td align="center" valign="middle" >153</td><td align="center" valign="middle" >235</td><td align="center" valign="middle" >65.1</td><td align="center" valign="middle" >Cohort</td></tr><tr><td align="center" valign="middle" >Ghazali S et al. [<xref ref-type="bibr" rid="scirp.116666-ref32">32</xref>]</td><td align="center" valign="middle" >2010</td><td align="center" valign="middle" >Nigeria</td><td align="center" valign="middle" >50 &#177; 20</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >4.69</td><td align="center" valign="middle" >CC</td></tr><tr><td align="center" valign="middle" >Zhang N et al. [<xref ref-type="bibr" rid="scirp.116666-ref33">33</xref>]</td><td align="center" valign="middle" >2009</td><td align="center" valign="middle" >Jiangsu, China</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >416</td><td align="center" valign="middle" >12.02</td><td align="center" valign="middle" >CS</td></tr><tr><td align="center" valign="middle" >Diez J et al. [<xref ref-type="bibr" rid="scirp.116666-ref34">34</xref>]</td><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >Spain</td><td align="center" valign="middle" >60 &#177; 20</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >318</td><td align="center" valign="middle" >10.69</td><td align="center" valign="middle" >CS</td></tr><tr><td align="center" valign="middle" >Han C et al. [<xref ref-type="bibr" rid="scirp.116666-ref35">35</xref>]</td><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >Anhui, China</td><td align="center" valign="middle" >45 &#177; 10</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >164</td><td align="center" valign="middle" >13.41</td><td align="center" valign="middle" >CS</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >896</td><td align="center" valign="middle" >4508</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Abbreviation: F-Female; M-Male; CC-Case Control study; CS-Cross Sectional study, RS-Retrospective study.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> TSH, FT<sub>4</sub>, IR and HOMA-IR parameters in SCH participants according to gender, age, and country</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Reference</th><th align="center" valign="middle"  rowspan="2"  >Meann age</th><th align="center" valign="middle"  rowspan="2"  >Sex</th><th align="center" valign="middle"  colspan="6"  >SCH</th></tr></thead><tr><td align="center" valign="middle" >No.</td><td align="center" valign="middle" >TSH</td><td align="center" valign="middle" >FT<sub>4</sub></td><td align="center" valign="middle" >IR</td><td align="center" valign="middle" >HOMA-IR</td><td align="center" valign="middle" >P-value</td></tr><tr><td align="center" valign="middle" >Mohn A et al. [<xref ref-type="bibr" rid="scirp.116666-ref25">25</xref>] (Italy)</td><td align="center" valign="middle" >11.9</td><td align="center" valign="middle" >F-11 M-22</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >7.6 (5.5 - 19.9) &#181;U/mL</td><td align="center" valign="middle" >15.5 (11.5 - 22.8) pmol/L</td><td align="center" valign="middle" >HPG* 5.5 &#177; 0.4</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.05</td></tr><tr><td align="center" valign="middle" >Vyakaranamm S et al. [<xref ref-type="bibr" rid="scirp.116666-ref27">27</xref>] (India)</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >NM</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >14.20 &#177; 5.23 &#181;U/mL</td><td align="center" valign="middle" >2.96 &#177; 0.80 pg/mL</td><td align="center" valign="middle" >9.07 &#177; 3.41 &#181;U/mL</td><td align="center" valign="middle" >2.03 &#177; 0.95</td><td align="center" valign="middle" >0.0001</td></tr><tr><td align="center" valign="middle" >Nada A [<xref ref-type="bibr" rid="scirp.116666-ref29">29</xref>] (S. Arabia)</td><td align="center" valign="middle" >21.8</td><td align="center" valign="middle" >F</td><td align="center" valign="middle" >27 (OHT)</td><td align="center" valign="middle" >22.4 &#177; 36.2 &#181;U/mL</td><td align="center" valign="middle" >11.2 &#177; 4.0 pmol/L</td><td align="center" valign="middle" >2.5 &#177; 2.1 &#181;IU/mL</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Hansen D et al. [<xref ref-type="bibr" rid="scirp.116666-ref31">31</xref>] (USA)</td><td align="center" valign="middle" >12.8</td><td align="center" valign="middle" >F/M</td><td align="center" valign="middle" >105</td><td align="center" valign="middle" >1.51 (0.59 - 6.18) U/L</td><td align="center" valign="middle" >94 (66 - 189) nmol/L</td><td align="center" valign="middle" >0.9 (0.2 - 1.8) IU/Kg</td><td align="center" valign="middle" >HbA1C 8.0 (5.6 - 15.1)</td><td align="center" valign="middle" >0.353</td></tr></tbody></table></table-wrap><p>Abbreviations: SCH-Sub clinical hypothyroidism, TSH-Thyroid stimulating hormone, T<sub>4</sub>-Thyroxine, IR-Insulin Resistance, HOMA-IR-Homeostatic model assessment Insulin Resistance, OHT-Overt Hypothyroidism, F-Female, M-Male, *HPG-Hypoglycemic episode.</p><p>that adolescent age group also has a risk of developing diabetes mellitus along with insulin resistance, with a prevalence of 58% [<xref ref-type="bibr" rid="scirp.116666-ref31">31</xref>].</p><p>According to the above scatter plot, when TSH level increases, the IR value also increases gradually as observed in three studies carried out in three countries [<xref ref-type="bibr" rid="scirp.116666-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref31">31</xref>]. But one research carried out in Saudi Arabia [<xref ref-type="bibr" rid="scirp.116666-ref29">29</xref>] revealed a low IR value in participants with high TSH values. Therefore, the relationship between TSH and IR is still questionable and needs further study.</p><p><xref ref-type="table" rid="table5">Table 5</xref> illustrates the behavior of TSH, FT<sub>4</sub>, IR and HOMA-IR parameters in euthyroid participants in studies mentioned in <xref ref-type="table" rid="table4">Table 4</xref> where the listed research findings highlight significant associations.</p></sec><sec id="s3_2_2"><title>3.2.2. Hypothyroidism Related Metabolic Syndrome along with Cardiac Dysfunction</title><p>The cardiovascular system is very sensitive to thyroid hormone, and a wide spectrum of cardiac changes has long been recognized in overt thyroid dysfunction [<xref ref-type="bibr" rid="scirp.116666-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref37">37</xref>]. Moreover, cardiovascular impairment in patients with subclinical thyroid dysfunction has also been studied in several countries [<xref ref-type="bibr" rid="scirp.116666-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref39">39</xref>]. Based on the effect of low levels of thyroid hormones, increased risk for atherosclerotic vascular diseases had been reported and major concomitant risk factors include dyslipidemia and diastolic hypertension [<xref ref-type="bibr" rid="scirp.116666-ref40">40</xref>]. Dyslipidemia is characterized by elevated serum levels of low-density lipoprotein (LDL) cholesterol where the clearance of excess serum LDL particles is delayed because of a decreased expression of the LDL receptors on liver cell surfaces, which is under the control of T<sub>3</sub> [<xref ref-type="bibr" rid="scirp.116666-ref41">41</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref42">42</xref>]. People having type 2 diabetes mellitus [<xref ref-type="bibr" rid="scirp.116666-ref43">43</xref>], untreated hypothyroidism [<xref ref-type="bibr" rid="scirp.116666-ref44">44</xref>], obesity [<xref ref-type="bibr" rid="scirp.116666-ref45">45</xref>], chronic renal diseases [<xref ref-type="bibr" rid="scirp.116666-ref46">46</xref>], nephrotic syndrome [<xref ref-type="bibr" rid="scirp.116666-ref47">47</xref>], smoking and alcohol consumption [<xref ref-type="bibr" rid="scirp.116666-ref47">47</xref>] show higher susceptibility for dyslipidemia, which contribute to the rising incidence of cardiovascular disease in the world.</p></sec><sec id="s3_2_3"><title>3.2.3. Hypothyroidism and Cardiac Manifestations</title><p><xref ref-type="table" rid="table6">Table 6</xref> illustrates the risk for cardiac manifestation due to SCH or overt hypothyroidism in several countries with the percentage of SCH cases recorded, and most of the studies show more than 50% of SCH or OHT cases compared to normal population. <xref ref-type="table" rid="table7">Table 7</xref> evaluates the occurrence of Coronary heart disease in subclinical hypothyroidism and euthyroid participants with total mortality rates.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> TSH, FT<sub>4</sub>, IR and HOMA-IR parameters in Euthyroid participants according to gender, age, and country</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Reference</th><th align="center" valign="middle"  colspan="6"  >Euthyroid</th></tr></thead><tr><td align="center" valign="middle" >No.</td><td align="center" valign="middle" >TSH</td><td align="center" valign="middle" >FT<sub>4</sub></td><td align="center" valign="middle" >IR</td><td align="center" valign="middle" >HOMA-IR</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle" >Mohn A et al. [<xref ref-type="bibr" rid="scirp.116666-ref25">25</xref>] (Italy)</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >1.6 (0.6 - 3.1) &#181;U/mL</td><td align="center" valign="middle" >15.4 (12.8 - 18) pmol/L</td><td align="center" valign="middle" >HPG* 1.6 &#177; 0.1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.05</td></tr><tr><td align="center" valign="middle" >Vyakaranam S et al. [<xref ref-type="bibr" rid="scirp.116666-ref27">27</xref>] (India)</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >2.24 &#177; 1.43 &#181;U/mL</td><td align="center" valign="middle" >1.15 &#177; 0.52 pg/mL</td><td align="center" valign="middle" >5.28 &#177; 2.18 &#181;U/mL</td><td align="center" valign="middle" >1.05 &#177; 0.45</td><td align="center" valign="middle" >0.0001</td></tr><tr><td align="center" valign="middle" >Nada A [<xref ref-type="bibr" rid="scirp.116666-ref29">29</xref>] (S. Arabia)</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >2.9 &#177; 1.5 &#181;U/mL</td><td align="center" valign="middle" >13.7 &#177; 2.1 pmol/L</td><td align="center" valign="middle" >2.6 &#177; 1.5 &#181;IU/mL</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Hansen D et al. [<xref ref-type="bibr" rid="scirp.116666-ref31">31</xref>] (USA)</td><td align="center" valign="middle" >105</td><td align="center" valign="middle" >1.48 (0.47 - 3.46) U/L</td><td align="center" valign="middle" >92 (54 - 140) nmol/L</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >HbA1C 5.1 (4.4 - 5.6)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Abbreviations: SCH-Sub clinical hypothyroidism, TSH-Thyroid stimulating hormone, T<sub>4</sub>-Thyroxine, IR-Insulin Resistance, HOMA-IR-Homeostatic model assessment Insulin Resistance, OHT-Overt Hypothyroidism, F-Female, M-Male. *HPG-Hypoglycemic episode.</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Population-based studies of subclinical and overt thyroid dysfunction and risk for CHD</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >First Author</th><th align="center" valign="middle" >Published Year</th><th align="center" valign="middle" >Country and area</th><th align="center" valign="middle" >Mean Age</th><th align="center" valign="middle" >Cases (n)</th><th align="center" valign="middle" >Total (n)</th><th align="center" valign="middle" >Percentage of recorded cases</th><th align="center" valign="middle" >Research Type</th></tr></thead><tr><td align="center" valign="middle" >Vanderpump M et al. [<xref ref-type="bibr" rid="scirp.116666-ref23">23</xref>]</td><td align="center" valign="middle" >1996</td><td align="center" valign="middle" >Whickham, UK</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >212</td><td align="center" valign="middle" >664</td><td align="center" valign="middle" >32%</td><td align="center" valign="middle" >Cohort</td></tr><tr><td align="center" valign="middle" >Althaus B et al. [<xref ref-type="bibr" rid="scirp.116666-ref38">38</xref>]</td><td align="center" valign="middle" >1987</td><td align="center" valign="middle" >Switzerland</td><td align="center" valign="middle" >30.9</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >116</td><td align="center" valign="middle" >60.3%</td><td align="center" valign="middle" >CC</td></tr><tr><td align="center" valign="middle" >Dikeman T et al. [<xref ref-type="bibr" rid="scirp.116666-ref48">48</xref>]</td><td align="center" valign="middle" >1998</td><td align="center" valign="middle" >Netherland</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >50%</td><td align="center" valign="middle" >CC</td></tr><tr><td align="center" valign="middle" >Shapiro L et al. [<xref ref-type="bibr" rid="scirp.116666-ref49">49</xref>]</td><td align="center" valign="middle" >1997</td><td align="center" valign="middle" >USA</td><td align="center" valign="middle" >43.2</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >50%</td><td align="center" valign="middle" >CC</td></tr><tr><td align="center" valign="middle" >Mercuro G et al. [<xref ref-type="bibr" rid="scirp.116666-ref50">50</xref>]</td><td align="center" valign="middle" >2000</td><td align="center" valign="middle" >Cagliari, Italy</td><td align="center" valign="middle" >41.3</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >50%</td><td align="center" valign="middle" >CC</td></tr><tr><td align="center" valign="middle" >Biondi B et al. [<xref ref-type="bibr" rid="scirp.116666-ref51">51</xref>]</td><td align="center" valign="middle" >1999</td><td align="center" valign="middle" >Naples, Italy</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >46.4%</td><td align="center" valign="middle" >CS</td></tr><tr><td align="center" valign="middle" >Nystrom E et al. [<xref ref-type="bibr" rid="scirp.116666-ref52">52</xref>]</td><td align="center" valign="middle" >1988</td><td align="center" valign="middle" >Sweden</td><td align="center" valign="middle" >61.5</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >54%</td><td align="center" valign="middle" >CS</td></tr><tr><td align="center" valign="middle" >Hak A E et al. [<xref ref-type="bibr" rid="scirp.116666-ref53">53</xref>]</td><td align="center" valign="middle" >2000</td><td align="center" valign="middle" >Netherland</td><td align="center" valign="middle" >54.5</td><td align="center" valign="middle" >124</td><td align="center" valign="middle" >1055</td><td align="center" valign="middle" >11.7%</td><td align="center" valign="middle" >Cohort</td></tr><tr><td align="center" valign="middle" >Parle J V et al. [<xref ref-type="bibr" rid="scirp.116666-ref54">54</xref>]</td><td align="center" valign="middle" >2001</td><td align="center" valign="middle" >UK</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >386</td><td align="center" valign="middle" >1191</td><td align="center" valign="middle" >32.4%</td><td align="center" valign="middle" >Cohort</td></tr><tr><td align="center" valign="middle" >Walsh J P et al. [<xref ref-type="bibr" rid="scirp.116666-ref55">55</xref>]</td><td align="center" valign="middle" >2005</td><td align="center" valign="middle" >Australia</td><td align="center" valign="middle" >49.6</td><td align="center" valign="middle" >158</td><td align="center" valign="middle" >2064</td><td align="center" valign="middle" >7.6%</td><td align="center" valign="middle" >CS</td></tr><tr><td align="center" valign="middle" >Luboshitzky R et al. [<xref ref-type="bibr" rid="scirp.116666-ref56">56</xref>]</td><td align="center" valign="middle" >2002</td><td align="center" valign="middle" >Nepal</td><td align="center" valign="middle" >44.1</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >62.6%</td><td align="center" valign="middle" >CC</td></tr><tr><td align="center" valign="middle" >Bauer D C et al. [<xref ref-type="bibr" rid="scirp.116666-ref57">57</xref>]</td><td align="center" valign="middle" >2007</td><td align="center" valign="middle" >USA</td><td align="center" valign="middle" >64.6</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >480</td><td align="center" valign="middle" >7.5%</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >2152</td><td align="center" valign="middle" >7591</td><td align="center" valign="middle" >28.3%</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Abbreviations: CS-Cross Sectional study, CC-Case Control study.</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Occurrence of coronary heart disease in subclinical hypothyroidism and euthyroid participants</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Study, Year</th><th align="center" valign="middle"  colspan="3"  >Subclinical Hypothyroid group</th><th align="center" valign="middle"  colspan="3"  >Euthyroid Group</th></tr></thead><tr><td align="center" valign="middle" >CHD Events (n)</td><td align="center" valign="middle" >Participants (n)</td><td align="center" valign="middle" >Percentage (%)</td><td align="center" valign="middle" >CHD Events (n)</td><td align="center" valign="middle" >Participants (n)</td><td align="center" valign="middle" >Percentage (%)</td></tr><tr><td align="center" valign="middle" >Althaus B et al. [<xref ref-type="bibr" rid="scirp.116666-ref38">38</xref>] 1987</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >47.14</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >10.86</td></tr><tr><td align="center" valign="middle" >Hak A E et al. [<xref ref-type="bibr" rid="scirp.116666-ref53">53</xref>] 2000</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >107</td><td align="center" valign="middle" >3.73</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >850</td><td align="center" valign="middle" >1.17</td></tr><tr><td align="center" valign="middle" >Parle J V et al. [<xref ref-type="bibr" rid="scirp.116666-ref54">54</xref>] 2001</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >13.15</td><td align="center" valign="middle" >118</td><td align="center" valign="middle" >1026</td><td align="center" valign="middle" >11.5</td></tr><tr><td align="center" valign="middle" >Walsh J P et al. [<xref ref-type="bibr" rid="scirp.116666-ref55">55</xref>] 2005</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >32.67</td><td align="center" valign="middle" >229</td><td align="center" valign="middle" >1752</td><td align="center" valign="middle" >13.07</td></tr><tr><td align="center" valign="middle" >Vanderpump M et al. [<xref ref-type="bibr" rid="scirp.116666-ref23">23</xref>] 1996</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >46.15</td><td align="center" valign="middle" >174</td><td align="center" valign="middle" >452</td><td align="center" valign="middle" >38.49</td></tr><tr><td align="center" valign="middle" >Bauer D C et al. [<xref ref-type="bibr" rid="scirp.116666-ref57">57</xref>] 2007</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >8.33</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >398</td><td align="center" valign="middle" >8.29</td></tr><tr><td align="center" valign="middle" >Cappola A R et al. [<xref ref-type="bibr" rid="scirp.116666-ref59">59</xref>] 2006</td><td align="center" valign="middle" >98</td><td align="center" valign="middle" >496</td><td align="center" valign="middle" >19.75</td><td align="center" valign="middle" >489</td><td align="center" valign="middle" >2639</td><td align="center" valign="middle" >18.52</td></tr></tbody></table></table-wrap><p>According to the results of each study, it is clear that the clinical characteristics of patients and normal controls were well matched for age, sex, and body surface area. Both heart rate and blood pressure were comparable in the two groups. As expected, TSH levels were significantly higher in patients than in controls and though FT<sub>3</sub>, FT<sub>4</sub> levels are in the normal range, they are significantly lower in the patients than in control subjects before the therapy.</p><p>According to the details given in <xref ref-type="table" rid="table7">Table 7</xref>, most of the time the prevalence of coronary heart disease (CHD) is higher in people with hypothyroidism than in normal, thus based on the given data, the average prevalence of CHD in hypothyroid participants is 25.20 (vary from 3.73 to 47.14) and it is 13.90 in euthyroid participants (vary from 1.17 to 38.49). <xref ref-type="table" rid="table8">Table 8</xref> highlights cardiovascular mortality among hypothyroid and euthyroid people where it shows that the mortality rate is not always higher in hypothyroid participants. The literatures in <xref ref-type="table" rid="table8">Table 8</xref> clarifies that the death rate is higher in hypothyroid participants ( [<xref ref-type="bibr" rid="scirp.116666-ref54">54</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref55">55</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref58">58</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref59">59</xref>] ) in some instances but some other studies show euthyroid cardiovascular death rate can be higher than that of hypothyroid cases ( [<xref ref-type="bibr" rid="scirp.116666-ref57">57</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref60">60</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref61">61</xref>] ).</p><p>The above findings illustrate the occurrence of coronary heart disease in people with both SCH and ones who are euthyroid where all the SCH patients are more likely to suffer from CHD than euthyroid participants. This highlights that SCH is associated with a higher chance of coronary heart disease events.</p><p>Although CVD events were always higher in persons with SCH than in euthyroid people (<xref ref-type="fig" rid="fig2">Figure 2</xref>), some studies have revealed that the mortality percentage is higher in euthyroid people than in identified SCH people [<xref ref-type="bibr" rid="scirp.116666-ref57">57</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref60">60</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref61">61</xref>]. Therefore, we can assume that other than CVD some other factors may also have influenced the deaths in these participants.</p></sec><sec id="s3_2_4"><title>3.2.4. Hypothyroidism Related Metabolic Syndrome Manifestations</title><p>The metabolic syndrome (MetS) is a common metabolic disorder that results from the increasing prevalence of obesity. It is a cluster of conditions that occur together, increasing the risk of heart disease, stroke and type 2 diabetes and these conditions include increased blood pressure, high blood glucose, excess body fat around the waist, and abnormal cholesterol or triglyceride levels. Therefore, the pathophysiology seems to be largely attributable to cardiac disorders with excessive flux of fatty acids [<xref ref-type="bibr" rid="scirp.116666-ref62">62</xref>]. Many studies have been carried out to find the association between metabolic syndrome and <xref ref-type="table" rid="table9">Table 9</xref> highlights how different metabolic syndrome parameters behave in hypothyroid participants when compared to euthyroid participants.</p><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Cardiovascular mortality in subclinical hypothyroid group vs. euthyroid group</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Study, Year</th><th align="center" valign="middle"  colspan="3"  >Subclinical Hypothyroid group</th><th align="center" valign="middle"  colspan="3"  >Euthyroid Group</th></tr></thead><tr><td align="center" valign="middle" >CV Deaths (n)</td><td align="center" valign="middle" >Participants (n)</td><td align="center" valign="middle" >Percentage (%)</td><td align="center" valign="middle" >CV Deaths (n)</td><td align="center" valign="middle" >Participants (n)</td><td align="center" valign="middle" >Percentage (%)</td></tr><tr><td align="center" valign="middle" >Parle J V et al. [<xref ref-type="bibr" rid="scirp.116666-ref54">54</xref>] 2001</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >13.15</td><td align="center" valign="middle" >118</td><td align="center" valign="middle" >1026</td><td align="center" valign="middle" >11.5</td></tr><tr><td align="center" valign="middle" >Walsh J P et al. [<xref ref-type="bibr" rid="scirp.116666-ref55">55</xref>] 2005</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >20.79</td><td align="center" valign="middle" >170</td><td align="center" valign="middle" >1752</td><td align="center" valign="middle" >9.70</td></tr><tr><td align="center" valign="middle" >Bauer D C et al. [<xref ref-type="bibr" rid="scirp.116666-ref57">57</xref>] 2007</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >8.33</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >398</td><td align="center" valign="middle" >10.80</td></tr><tr><td align="center" valign="middle" >Imaizumi M et al. [<xref ref-type="bibr" rid="scirp.116666-ref58">58</xref>] 2004</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >257</td><td align="center" valign="middle" >0.77</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >2293</td><td align="center" valign="middle" >0.26</td></tr><tr><td align="center" valign="middle" >Cappola A R et al. [<xref ref-type="bibr" rid="scirp.116666-ref59">59</xref>] 2006</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >496</td><td align="center" valign="middle" >20.36</td><td align="center" valign="middle" >474</td><td align="center" valign="middle" >2639</td><td align="center" valign="middle" >17.96</td></tr><tr><td align="center" valign="middle" >Gussekloo J et al. [<xref ref-type="bibr" rid="scirp.116666-ref60">60</xref>] 2004</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >6.66</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >472</td><td align="center" valign="middle" >15.88</td></tr><tr><td align="center" valign="middle" >Rodondi N et al. [<xref ref-type="bibr" rid="scirp.116666-ref61">61</xref>] 2005</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >338</td><td align="center" valign="middle" >2.95</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >2392</td><td align="center" valign="middle" >3.92</td></tr></tbody></table></table-wrap><table-wrap id="table9" ><label><xref ref-type="table" rid="table9">Table 9</xref></label><caption><title> Literatures of hypothyroidism related metabolic syndrome manifestations with several factors</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="2"  >Althaus B [<xref ref-type="bibr" rid="scirp.116666-ref38">38</xref>] 1987</th><th align="center" valign="middle"  colspan="2"  >Hak A E [<xref ref-type="bibr" rid="scirp.116666-ref53">53</xref>] 2000</th><th align="center" valign="middle"  colspan="2"  >Luboshitzky R [<xref ref-type="bibr" rid="scirp.116666-ref56">56</xref>] 2002</th><th align="center" valign="middle"  colspan="2"  >Dikeman T [<xref ref-type="bibr" rid="scirp.116666-ref48">48</xref>] 1998</th><th align="center" valign="middle"  colspan="2"  >Walsh J P [<xref ref-type="bibr" rid="scirp.116666-ref55">55</xref>] 2005</th><th align="center" valign="middle"  colspan="2"  >Cappola A R [<xref ref-type="bibr" rid="scirp.116666-ref59">59</xref>] 2006</th><th align="center" valign="middle"  colspan="2"  >Rodondi N [<xref ref-type="bibr" rid="scirp.116666-ref61">61</xref>] 2005</th><th align="center" valign="middle"  colspan="2"  >Biondi B [<xref ref-type="bibr" rid="scirp.116666-ref51">51</xref>] 1999</th></tr></thead><tr><td align="center" valign="middle" >SCH</td><td align="center" valign="middle" >EUT</td><td align="center" valign="middle" >SCH</td><td align="center" valign="middle" >EUT</td><td align="center" valign="middle" >SCH</td><td align="center" valign="middle" >EUT</td><td align="center" valign="middle" >SCH</td><td align="center" valign="middle" >EUT</td><td align="center" valign="middle" >SCH</td><td align="center" valign="middle" >EUT</td><td align="center" valign="middle" >SCH</td><td align="center" valign="middle" >EUT</td><td align="center" valign="middle" >SCH</td><td align="center" valign="middle" >EUT</td><td align="center" valign="middle" >SCH</td><td align="center" valign="middle" >EUT</td></tr><tr><td align="center" valign="middle" >No. of Participants</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >124</td><td align="center" valign="middle" >931</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >119</td><td align="center" valign="middle" >1906</td><td align="center" valign="middle" >496</td><td align="center" valign="middle" >2639</td><td align="center" valign="middle" >338</td><td align="center" valign="middle" >2392</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >30</td></tr><tr><td align="center" valign="middle" >Age (Mean)</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >47.2</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >68.9</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >47.2</td><td align="center" valign="middle" >58.1</td><td align="center" valign="middle" >49.2</td><td align="center" valign="middle" >73.2</td><td align="center" valign="middle" >72.6</td><td align="center" valign="middle" >74.8</td><td align="center" valign="middle" >74.7</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >36</td></tr><tr><td align="center" valign="middle" >BMI</td><td align="center" valign="middle" >24.4</td><td align="center" valign="middle" >22.7</td><td align="center" valign="middle" >27.1</td><td align="center" valign="middle" >26.7</td><td align="center" valign="middle" >27.2</td><td align="center" valign="middle" >27</td><td align="center" valign="middle"  colspan="2"   rowspan="3"  ></td><td align="center" valign="middle" >25.5</td><td align="center" valign="middle" >25.5</td><td align="center" valign="middle" >26.2</td><td align="center" valign="middle" >26.4</td><td align="center" valign="middle" >26.7</td><td align="center" valign="middle" >27.3</td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >M. SBP</td><td align="center" valign="middle"  colspan="2"   rowspan="2"  ></td><td align="center" valign="middle" >137</td><td align="center" valign="middle" >138</td><td align="center" valign="middle" >127</td><td align="center" valign="middle" >120</td><td align="center" valign="middle" >133</td><td align="center" valign="middle" >129</td><td align="center" valign="middle"  colspan="2"   rowspan="2"  ></td><td align="center" valign="middle" >132.3</td><td align="center" valign="middle" >133.9</td><td align="center" valign="middle" >120</td><td align="center" valign="middle" >125</td></tr><tr><td align="center" valign="middle" >M. DBP</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >82</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >79</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >69.5</td><td align="center" valign="middle" >70.5</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >77</td></tr><tr><td align="center" valign="middle" >TC (mmol/L)</td><td align="center" valign="middle" >6.02</td><td align="center" valign="middle" >5.54</td><td align="center" valign="middle" >6.7</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >1.67</td><td align="center" valign="middle" >1.29</td><td align="center" valign="middle" >5.79</td><td align="center" valign="middle" >4.8</td><td align="center" valign="middle" >6.3</td><td align="center" valign="middle" >5.8</td><td align="center" valign="middle" >5.6</td><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >5.3</td><td align="center" valign="middle"  colspan="2"   rowspan="4"  ></td></tr><tr><td align="center" valign="middle" >HDL (mmol/L)</td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" >1.5</td><td align="center" valign="middle" >1.4</td><td align="center" valign="middle" >1.5</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >1.46</td><td align="center" valign="middle" >1.36</td><td align="center" valign="middle"  colspan="2"   rowspan="2"  ></td><td align="center" valign="middle" >1.4</td><td align="center" valign="middle" >1.3</td><td align="center" valign="middle"  colspan="2"   rowspan="3"  ></td></tr><tr><td align="center" valign="middle" >LDL (mmol/L)</td><td align="center" valign="middle" >4.27</td><td align="center" valign="middle" >3.72</td><td align="center" valign="middle"  colspan="2"   rowspan="5"  ></td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >3.76</td><td align="center" valign="middle" >2.89</td><td align="center" valign="middle" >3.4</td><td align="center" valign="middle" >3.4</td></tr><tr><td align="center" valign="middle" >Tri G (mmol/L)</td><td align="center" valign="middle" >1.1</td><td align="center" valign="middle" >0.89</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >1.26</td><td align="center" valign="middle" >1.32</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >1.4</td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >TSH (mU/L)</td><td align="center" valign="middle" >8.6</td><td align="center" valign="middle" >1.3</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >75.7</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle" >6.26</td><td align="center" valign="middle" >1.41</td><td align="center" valign="middle" >6.67</td><td align="center" valign="middle" >2.2</td><td align="center" valign="middle" >15.4</td><td align="center" valign="middle" >8.5</td><td align="center" valign="middle" >8.6</td><td align="center" valign="middle" >1.6</td></tr><tr><td align="center" valign="middle" >FT<sub>4</sub> (pmol/L)</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >18.5</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >5.3</td><td align="center" valign="middle" >15.1</td><td align="center" valign="middle" >1.1</td><td align="center" valign="middle" >1.2</td><td align="center" valign="middle" >0.99</td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"   rowspan="2"  ></td><td align="center" valign="middle" >9.4</td><td align="center" valign="middle" >15.3</td></tr><tr><td align="center" valign="middle" >T<sub>3</sub> (nmol/L)</td><td align="center" valign="middle" >2.1</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle" >2.1</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.2</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >5.1</td><td align="center" valign="middle" >6</td></tr></tbody></table></table-wrap><p>Abbreviations: SCH-Subclinical hypothyroidism, EUT-Euthyroid, BMI-Body Mass Index, M.SBP-Mean systolic blood pressure, M.DBP-Mean diastolic blood pressure, TC-Total cholesterol, HDL-High density lipoproteins, LDL-Low density lipoproteins, TriG-Triglycerides, TSH-Thyroid stimulating hormone, FT<sub>4</sub>-Thyroxine, FT<sub>3</sub>-Triiodothryronine, M-Male, F-Female. Reference ranges: TC-3.6 - 5.17 mmol/L, HDL-0.9 - 1.8 mmol/L (M), 0.9 - 2.2 mmol/L (F), LDL- &lt; 3.4 mmol/L, TriG- &lt; 1.7 mmol/L, TSH-0.4 - 4 mU/L, FT<sub>4</sub>-12 - 30 pmol/L, FT<sub>3</sub>-1.1 - 3 nmol/L. <inline-formula><inline-graphic xlink:href="/html.scirp.org/file/20-2151639x4.png" xlink:type="simple"/></inline-formula>: Data not available in the article.</p><p>Further, <xref ref-type="table" rid="table9">Table 9</xref> compares different factors affecting metabolic syndrome such as body mass index, mean systolic and diastolic blood pressure, total cholesterol, high density lipoproteins, low density lipoproteins, triglycerides and thyroid hormones in both subclinical hypothyroid and euthyroid participants. According to the data given ( [<xref ref-type="bibr" rid="scirp.116666-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref48">48</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref51">51</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref53">53</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref55">55</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref56">56</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref59">59</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref61">61</xref>] ), in each study, the participants are having a relatively high body mass index in both subclinical hypothyroid and euthyroid groups. No significant difference can be identified in both mean systolic and diastolic blood pressure values (P &gt; 0.05). Moreover, there is no significant difference in the lipid profile, but in contrast, the TSH value of subclinical hypothyroid participants shows a significant difference from euthyroid group as expected, where it has been elevated drastically than normal levels (reference range: 0.4 - 4 mU/L). Therefore, based on the values obtained from the studies, the factors affecting metabolic syndrome have not been changed in a noticeable in relation to the TSH levels (<xref ref-type="table" rid="table9">Table 9</xref>).</p></sec></sec></sec><sec id="s4"><title>4. Discussion</title><p>Analysis of population-based studies, on hypothyroidism related insulin resistance, type 2 diabetes mellitus and metabolic syndrome for this review article, is evident that some studies show a significant relationship among the above factors whereas, some studies show no relationship between them. This review was conducted based on 29 studies conducted in nine countries. According to the data given in <xref ref-type="table" rid="table3">Table 3</xref>, although some participants in these studies showed a mild hypothyroidism associated with diabetes mellitus there is no statistically significant relationship observed between these two factors [<xref ref-type="bibr" rid="scirp.116666-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref29">29</xref>]. As mentioned by Nada A M [<xref ref-type="bibr" rid="scirp.116666-ref29">29</xref>], his research carried out on twenty-seven overt hypothyroid participants and fifteen euthyroid participants (matching age and BMI; P values 0.444 and 0.607 respectively) to analyze their fasting blood glucose, fasting insulin, insulin resistance total cholesterol and tri glycerides; the results obtained illustrate that there is no significant difference between overt hypothyroid and euthyroid groups (P values; 0.432, 0.621, 0.883, 0.586 and 0.05 respectively for fasting plasma glucose, fasting insulin, insulin resistance, total cholesterol and triglycerides in hypothyroid patients and euthyroid controls).</p><p>In contrast, some studies have observed a clear association between subclinical hypothyroidism and insulin-resistant along with type 2 diabetes mellitus [<xref ref-type="bibr" rid="scirp.116666-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref28">28</xref>]. These studies reveal that the prevalence of subclinical hypothyroidism is higher in type 2 diabetes mellitus patients. Such a study conducted by Mohn A et al. [<xref ref-type="bibr" rid="scirp.116666-ref25">25</xref>], using 202 type 2 diabetes mellitus participants including 139 euthyroid ones (68.8%) and 33 subclinical hypothyroid ones (16.3%) show that there is a significant increase in prevalence of diabetes mellitus among persons with SCH (P = 0.016). In this study, he had identified that people with BMI &gt; 25 are more prone to get type 2 DM and hypothyroidism. Moreover, another study had been carried out among matching subjects of subclinical hypothyroid (SCH) and euthyroid ones to assess thyroid profile, fasting plasma glucose and insulin resistance using Homeostasis Model Assessment (HOMA-IR). Results show that SCH participants had increased serum TSH levels (14.2 &#177; 5.23 &#181;U/mL) than euthyroid ones (2.24 &#177; 1.43 &#181;U/mL); P &lt; 0.0001 and also a higher insulin resistance in SCH participants than that of euthyroid people (9.07 &#177; 3.41 &#181;U/mL and 5.28 &#177; 2.18 &#181;U/mL respectively; P &lt; 0.0001 and, the mean HOMA-IR value had also been higher in SCH (2.03 &#177; 0.95 than in euthyroid people (1.05 &#177; 0.45); P &lt; 0.0001. Furthermore, this study discovered that increased insulin resistance has more correlations with metabolic syndrome-related disorders such as cardiovascular diseases [<xref ref-type="bibr" rid="scirp.116666-ref27">27</xref>]. Therefore, with the knowledge gained from this analysis we can report that patients with type 2 diabetes mellitus are more likely to gain subclinical hypothyroidism when compared to euthyroid people (prevalence of SCH = 65.1% in type 2 DM people; <xref ref-type="table" rid="table3">Table 3</xref>).</p><p>Based on the discovered results of analyzed studies, subclinical hypothyroidism has a clear association with cardiovascular diseases [<xref ref-type="bibr" rid="scirp.116666-ref53">53</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref63">63</xref>] along with elevated cholesterol levels [<xref ref-type="bibr" rid="scirp.116666-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref38">38</xref>]. However, when correlation between subclinical hypothyroidism and cardiovascular disease was analyzed, several studies have come across conflicting results. One such study carried out by Walsh J P et al. [<xref ref-type="bibr" rid="scirp.116666-ref55">55</xref>] has discovered a clear association between the above two factors (CI, 1.28 to 2.12) (<xref ref-type="table" rid="table7">Table 7</xref>, <xref ref-type="fig" rid="fig3">Figure 3</xref>). But contradictory findings have been obtained by two large cohort studies carried out by Cappola A R et al. [<xref ref-type="bibr" rid="scirp.116666-ref59">59</xref>] and Rodondi N et al. [<xref ref-type="bibr" rid="scirp.116666-ref61">61</xref>] which show no relationship between SCH with CVD in adults (<xref ref-type="table" rid="table8">Table 8</xref>, <xref ref-type="fig" rid="fig4">Figure 4</xref>). According to the findings of Rodondi N et al. [<xref ref-type="bibr" rid="scirp.116666-ref61">61</xref>], the percentage mortality of euthyroid participants is higher than SCH participants during the time period of their study (3.92% and 2.95% respectively). Furthermore, the same pattern can be seen in two other studies [<xref ref-type="bibr" rid="scirp.116666-ref57">57</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref60">60</xref>], where mortality was higher in euthyroid people than SCH people (10.8% and 8.33%, 15.8% and</p><p>6.66% respectively) (<xref ref-type="table" rid="table8">Table 8</xref>). But our analysis of collected data in this review shows a pattern of higher occurrence of cardiovascular events in subclinical hypothyroid participants than in euthyroid participants [<xref ref-type="bibr" rid="scirp.116666-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref53">53</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref54">54</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref55">55</xref>] [<xref ref-type="bibr" rid="scirp.116666-ref57">57</xref>] (<xref ref-type="table" rid="table7">Table 7</xref>). Therefore, by analyzing the research data, it is clear that there is a higher risk for cardiovascular disease for hypothyroid population when compared to euthyroid persons.</p><p>During the analysis data from pre-reviews were not included and research conducted among participants under treatment in comparison-based studies was excluded. Some studies did not give enough data in their original articles, but due to a lack of study articles in the field of association of insulin resistance, type 2 diabetes mellitus and cardiovascular disease with hypothyroidism some of those articles had to be included in this review.</p><p>In summary, reviewed data suggest that type 2 diabetes mellitus people are more likely to get subclinical hypothyroidism and subclinical hypothyroid population also show several complications associated with type 2 diabetes mellitus. Besides, subclinical thyroid dysfunction might represent a risk factor for coronary heart disease and mortality. Therefore, we can suggest that it is necessary to conduct screening tests for thyroid function in diabetes mellitus people and for populations with high risk for atherosclerosis with increased blood cholesterol levels.</p></sec><sec id="s5"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s6"><title>Cite this paper</title><p>Hewage, N., Wijesekara, U. and Perera, R. (2022) Association between Insulin Resistance and Metabolic Syndrome with Thyroid Status in Normal and Overweight/Obese Population: A Review. Journal of Biosciences and Medicines, 10, 236-253. https://doi.org/10.4236/jbm.2022.104020</p></sec></body><back><ref-list><title>References</title><ref id="scirp.116666-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Garber, J.R., Cobin, R.H., Gharib, H., Hennessey, J.V., Klein, I., Mechanick, J.I., et al. 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