<?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">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1103952</article-id><article-id pub-id-type="publisher-id">OALibJ-79659</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><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Metabolic Syndrome among Ischaemic Stroke Patients in Ghana: The Possible Role of Renin and Aldosterone
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Francis</surname><given-names>Agyemang Yeboah</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bernard</surname><given-names>Nkum</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>Bright</surname><given-names>Amankwaa</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>Benjamin</surname><given-names>Ackon Eghan Jr.</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>Emmanuel</surname><given-names>Acheampong</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Paul</surname><given-names>Nsiah</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Perditer</surname><given-names>Okyere</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>Lawrence</surname><given-names>Owusu</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Emmanuella</surname><given-names>Batu Nsenba</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Enoch</surname><given-names>Odame Anto</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Medicine Department, School of Medical Sciences, Kwame Nkrumah University of Science and Technology (KNUST), 
Kumasi, Ghana</addr-line></aff><aff id="aff4"><addr-line>Biochemistry and Biotechnology Department, College of Science, Kwame Nkrumah University of Science and 
Technology (KNUST), Kumasi, Ghana</addr-line></aff><aff id="aff5"><addr-line>School of Medical and Health Science, Edith Cowan University, Perth, Australia</addr-line></aff><aff id="aff3"><addr-line>Chemical Pathology Department, School of Medical Sciences, University of Cape Coast (UCC), Cape-Coast, Ghana</addr-line></aff><aff id="aff1"><addr-line>Department of Molecular Medicine, School of Medical Sciences, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>brytespiro@gmail.com(BA)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>11</day><month>10</month><year>2017</year></pub-date><volume>04</volume><issue>10</issue><fpage>1</fpage><lpage>8</lpage><history><date date-type="received"><day>19,</day>	<month>September</month>	<year>2017</year></date><date date-type="rev-recd"><day>15,</day>	<month>October</month>	<year>2017</year>	</date><date date-type="accepted"><day>18,</day>	<month>October</month>	<year>2017</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: Both metabolic syndrome (MetSyn) and the Renin Angiotensin Aldosterone System (RAAS) are predictors of adverse outcomes in stroke patients. This study aimed at evaluating the association between RAAS and MetSyn among ischaemic stroke subjects in a tertiary hospital of Ghana from September 2015 to June 2016. Methodology: The study purposively recruited 252 Ghanaians comprising 132 ischaemic stroke patients and 120 apparently healthy control subjects. The participants were subjected to measurements of plasma renin, serum aldosterone, lipid profile, anthropometries and blood pressure. Results: MetSyn prevalence among the stroke subjects compared to the controls were 50.0% vs 8.3% (NCEP/ATP III), 71.2% vs 9.2 (IDF) and 71.2% vs 6.7% (H_MS). Both renin and aldosterone
   were significantly (
  p
   &lt; 0.05) higher in the ischaemic stroke subjects [(1.8 &#177; 0.1 vs 1.4 &#177; 0.1) pg/ml and (2.9 &#177; 0.2 vs 2.3 &#177; 0.2) pg/ml respectively]. Adjusting for age, gender, diabetes status and hypertension, third tertile (T
  <sub style="text-align:justify;white-space:normal;">3</sub>
  ) aldosterone (aOR = 2.7, 
  p
   = 0.008), obesity (aOR = 11.7, 
  p
   = 0.004) and high triglyceride (aOR = 5.3, 
  p
   &lt; 0.001) but not renin (aOR = 6.1, 
  p
   = 0.742) were independently associated with increasing odds of metabolic syndrome. Moreover, there was a significant (
  p
   &lt; 0.050) correlation between plasma renin and waist circumference (WC) (r = 0.493) and high density lipoprotein (HDL) (r = ﹣0.319). Significant (
  p
   &lt; 0.050) correlations also existed between serum aldosterone and WC (r = 0.588), waist-to-height ratio (WHR) (r = 0.503), body mass index (BMI) (r = 0.691), HDL (r = ﹣0.317), total cholesterol (r = 0.678) and triglyceride (r = 0.439). Conclusion: Aldosterone and not renin could play significant role in the pathophysiology of metabolic syndrome in ischaemic stroke. These findings underpin the observations that aldosterone is associated with several cardiovascular risk factors and may exacerbate metabolic defects in people with ischaemic stroke. Adequate aldosterone blockade could therefore mitigate the development and progression of metabolic syndrome in ischaemic stroke subjects.
 
</p></abstract><kwd-group><kwd>Renin</kwd><kwd> Aldosterone</kwd><kwd> Metabolic Syndrome</kwd><kwd> Ischaemic Stroke</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Stroke is an increasing public health concern globally and its victims are particularly susceptible to cardiometabolic complications including dyslipidaemia, diabetes and obesity [<xref ref-type="bibr" rid="scirp.79659-ref1">1</xref>] . Metabolic syndrome (MetSyn) on the other hand is a term coined for the clustering of cardiovascular risk factors including diabetes mellitus, hypertriglyceridaemia, central obesity, increased low density lipoprotein cholesterol (LDL-C) and decreased high density lipoprotein cholesterol (HDL-C) [<xref ref-type="bibr" rid="scirp.79659-ref1">1</xref>] . MetSyn has been shown to increase risk for stroke and other cardiovascular diseases [<xref ref-type="bibr" rid="scirp.79659-ref2">2</xref>] . According to [<xref ref-type="bibr" rid="scirp.79659-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.79659-ref4">4</xref>] , metSyn confers 5-fold risk for type 2 diabetes and 2 to 3 fold increased risk for coronary heart disease and future ischaemic stroke [<xref ref-type="bibr" rid="scirp.79659-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.79659-ref4">4</xref>] . Prevalence of MetSyn is estimated to range from &lt;10% to as high as 84% depending on the region and underlying condition of study [<xref ref-type="bibr" rid="scirp.79659-ref5">5</xref>] . Previous studies have indicated high prevalence of metabolic syndrome particularly among ischaemic stroke subjects [<xref ref-type="bibr" rid="scirp.79659-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.79659-ref6">6</xref>] .</p><p>In a case-control study among Iranians, 62% stroke subjects compared to 34% normal controls had metabolic syndrome. Also, in a case-control study involving 100 Ghanaian subjects with various cardiovascular diseases (stroke, coronary heart disease, peripheral arterial disease or heart failure) the prevalence of MetSyn was 54% [<xref ref-type="bibr" rid="scirp.79659-ref7">7</xref>] .</p><p>Whereas the cause of metabolic syndrome is uncertain and is believed to be multifactorial, the renin angiotensin aldosterone system (RAAS) has been found to play a significant role in its pathophysiology [<xref ref-type="bibr" rid="scirp.79659-ref1">1</xref>] . RAAS has been linked to components of MetSyn including obesity, dyslipidaemia, hypertension and insulin resistance [<xref ref-type="bibr" rid="scirp.79659-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.79659-ref8">8</xref>] .</p><p>The RAAS could be linked to cardiometabolic syndrome through possible interactions with atherogenic factors including vascular smooth muscle cells, mitogen-activated protein (MAP) kinase, intercellular adhesion molecule and oxidative stress (ICAM) 1 [<xref ref-type="bibr" rid="scirp.79659-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.79659-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.79659-ref11">11</xref>] .</p><p>Studies suggest that mineralocorticoid receptor (MR) antagonists could be important therapeutic agents in mitigating MetSyn and its complications [<xref ref-type="bibr" rid="scirp.79659-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.79659-ref13">13</xref>] .</p><p>However, data supporting the use of MR antagonists in ischaemic patients with the aim of preventing further metabolic defect is limited. There remains a paucity of data examining the relationship between the RAAS and the MetSyn in particularly ischaemic stroke. A better understanding of the association of RAAS and MetSyn may help in the management of ischaemic stroke subjects and thus minimize, if not entirely eradicate mortality from obesity, diabetes and hypertension [<xref ref-type="bibr" rid="scirp.79659-ref14">14</xref>] . Additionally, understanding the relationship between the RAAS and MetSyn in ischaemic strokes may help in the stratification and treatment of patients who may benefit substantially from RAAS blockade.</p></sec><sec id="s2"><title>2. Materials and Method</title><sec id="s2_1"><title>2.1. Study Design and Setting</title><p>A case-control study which was carried out at the Medicine Department of Komfo Anokye Teaching Hospital (KATH) in the Ashanti Region of Ghana. Komfo Anokye Teaching Hospital is the second largest tertiary hospital in Ghana with over a thousand bed capacity and is a major referral centre that provides health services to five other regions in Ghana. The study spanned through September 2015 to June 2016. However only two months were used to recruit the stroke cases due to its acute state.</p></sec><sec id="s2_2"><title>2.2. Study Population and Subject Recruitment</title><p>A randomized sampling technique was used to recruit a total of 252 subjects (132 cases and 120 controls). The 132 sample size was based on the monthly incidence of stroke 44 (9.1%) at KATH [<xref ref-type="bibr" rid="scirp.79659-ref15">15</xref>] . The cases were admitted ischaemic stroke patients diagnosed with computerized tomographic scan and confirmed by a neurologist whereas apparently normal subjects without any history of CVD attending the hospital for medical check-ups served as controls. Patients with chronic kidney disease (protein-creatinine-ratio greater than 0.3 in women and 0.2 in men and/or eGFR &lt; 60 mL/min/1.73 m<sup>2</sup>) [<xref ref-type="bibr" rid="scirp.79659-ref16">16</xref>] , were exempted from the study.</p></sec><sec id="s2_3"><title>2.3. Ethical Consideration</title><p>Ethical approval for the study (CHRPE/AP/377/15), was obtained from the Committee on Human Research, Publication and Ethics of the School of Medical Sciences (SMS), Kwame Nkrumah University of Science and Technology (KNUST) as well as ethical review board of the Komfo Anokye Teaching Hospital (KATH). Informed consent was obtained from all participants and participation was strictly voluntary.</p></sec><sec id="s2_4"><title>2.4. Questionnaire</title><p>Structured questionnaire was administered to determine socio-demographics and identified risk factors of hypertension such as age, gender, and alcohol consumption and family history cardiovascular diseases.</p></sec><sec id="s2_5"><title>2.5. Blood Pressure Measurement</title><p>Blood pressure (BP) measurements were done using the Omron M5-I digital fully automatic blood pressures monitor (Omron, Japan). After subjects had sat quietly for at least ten minutes, three measurements were taken at 5 minutes interval on the left arm in a seated position, with arm supported at heart level and feet flat on the floor. Hypertension was diagnosed when the mean of the second and third blood pressure (BP) measurements was equal to or above 140/90 mmHg [<xref ref-type="bibr" rid="scirp.79659-ref17">17</xref>] .</p></sec><sec id="s2_6"><title>2.6. Measurement of Anthropometric Variables</title><p>Height to the nearest centimetre and weight to the nearest 0.1 kg in light clothing were measured with a wall-mounted ruler and a bathroom scale (EatSmart ESBS-07 Precision Series Tracker Digital Bathroom Scale, USA). Body mass index (BMI) was calculated as weight (kg)/height<sup>2</sup> (m<sup>2</sup>). Waist circumference was measured at the midpoint between the last rib and the iliac crest with an Esprit spring-loaded measuring tape (SpringLoaded Technology USA) while the subject stood wearing light cloths. The hip circumference [<xref ref-type="bibr" rid="scirp.79659-ref18">18</xref>] was measured at the widest level over the greater trochanters. The waist-to-hip ratio (WHR) was calculated by dividing the waist circumference (cm) by the hip circumference (cm). All measurements were taken thrice and the means recorded.</p></sec><sec id="s2_7"><title>2.7. Blood Sampling, Processing and Biochemical Assays</title><p>Fasting whole blood samples were drawn by venipuncture after 10 minutes of rest in a seated position in the morning between 6:30 and 9:30 AM. Blood was collected in EDTA tubes, maintained at 0˚C - 4˚C during delivery to the laboratory, and rapidly frozen at −80˚C after centrifugation done at 500 g for 15 minutes. When ready to use, frozen blood samples were thawed at room temperature (25˚C). Plasma renin was measured as direct active renin (DAR; picograms per milliliter) by an immunoassay kit (Biobase Biotech (Jinan) Co. Ltd). The intra-assay and inter-assay coefficients of variation of the renin assay were &lt;9% and 15% respectively. The normal plasma renin range was given as 5.2 to 45.6 pg/ml in upright position [<xref ref-type="bibr" rid="scirp.79659-ref19">19</xref>] . Serum aldosterone was measured in pg/ml with immunoassay kit from Biobase Biotech (Jinan) Co. Ltd. The intra-assay and inter-assay coefficients of variation of the aldosterone assay were &lt;9% and 15% respectively. The reference interval was given as 65 pg/ml - 450 pg/mL.</p><p>Fasting total cholesterol, high density lipoprotein (HDLc) and triglyceride concentrations were determined by standard enzymatic methods on a Cobas C11 analyzer (Roche Diagnostics, UK). Low density lipoprotein cholesterol (LDL-C) was calculated using the Frederickson-Friedwald’s formula; LDL-C = TC- TG/2-HDL-C [<xref ref-type="bibr" rid="scirp.79659-ref16">16</xref>] .</p></sec><sec id="s2_8"><title>2.8. Estimated Glomerular Filtration Rate and Diagnosis of Chronic Kidney Disease</title><p>Estimated glomerular filtration rate (eGFR) and was derived based on participants’ serum creatinine, gender, age and race with the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation [<xref ref-type="bibr" rid="scirp.79659-ref20">20</xref>] . CKD was defined by proteinuria (protein-creatinine-ratio greater than 0.3 in women and 0.2 in men) and/or eGFR &lt;60 mL/min/1.73 m<sup>2</sup> [<xref ref-type="bibr" rid="scirp.79659-ref16">16</xref>] .</p></sec><sec id="s2_9"><title>2.9. Metabolic Syndrome Definition</title><p>Three metabolic syndrome definitions were defined as shown in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec></sec><sec id="s3"><title>3. Data Analysis</title><p>Normality of all continuous variables was tested using the D’Agostino-Pearson omnibus normality test. All non-parametric variables were normalized by log transformation before analysis. Continuous variables were expressed as mean &#177; Standard deviation (SD) and median (inter-quartile range) where appropriate. Categorical variables were expressed as frequency (n) and percentages (%). Associations of biochemical and clinical profile with metabolic syndrome among hypertensive were done using chi-square (χ<sup>2</sup>) tests or Fisher exact tests where appropriate. Three logistic regression models (A, B and C) were done with metabolic syndrome defined by H_MS criteria as dependent variable. Model A was unadjusted, model B was adjusted for age and gender whereas model C was adjusted for age, gender and hypertension. In all the models, lifestyle characteristics, BMI, lipid profile and RAAS parameters served as predictor variables. P-value less than 0.05was considered statistically significant for all analysis. IBM Statistical Package for the Social Sciences (SPSS) version 20.00 (SPSS Inc, Chicago, USA).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Definition of metabolic syndrome</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Mets Criteria</th><th align="center" valign="middle" >WC/CO</th><th align="center" valign="middle" >TG</th><th align="center" valign="middle" >HDL-C</th><th align="center" valign="middle" >FBG</th><th align="center" valign="middle" >Applied Factors</th><th align="center" valign="middle" >Reference</th></tr></thead><tr><td align="center" valign="middle" >NCEP-ATP III</td><td align="center" valign="middle" >&gt;88</td><td align="center" valign="middle" >≥1.7</td><td align="center" valign="middle" >&lt;1.29</td><td align="center" valign="middle" >≥5.6</td><td align="center" valign="middle" >Any 3 or more factors</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.79659-ref21">21</xref>]</td></tr><tr><td align="center" valign="middle" >IDF</td><td align="center" valign="middle" >&gt;80*</td><td align="center" valign="middle" >≥1.7</td><td align="center" valign="middle" >&lt;1.29</td><td align="center" valign="middle" >≥5.6</td><td align="center" valign="middle" >WC and any 2 factors</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.79659-ref22">22</xref>]</td></tr><tr><td align="center" valign="middle" >H_MS</td><td align="center" valign="middle" >&gt;80</td><td align="center" valign="middle" >≥1.8</td><td align="center" valign="middle" >&lt;1.30</td><td align="center" valign="middle" >≥5.7</td><td align="center" valign="middle" >Any 3 or more factors</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.79659-ref23">23</xref>]</td></tr></tbody></table></table-wrap><p>*Principal component of definition; ATP III = Adult Treatment Panel III; IDF = International Diabetes Federation; H_MS: Harmonization, IGT =  impaired, glucose tolerance; impaired fasting glycaemia; T2DM  = Type 2 diabetes mellitus; BMI = body mass index; WC = waist circumference; TG = triglycerides; HDL-C = high-density lipoprotein cholesterol; WC/CO: waist circumference/central obesity, WHR: waist-to-hip ratio, BMI: Body Mass Index, BP: Blood Pressure, TG: Triglycerides, HDL-C: High Density Lipoprotein Cholesterol, FBG: Fasting Blood Glucose.</p></sec><sec id="s4"><title>4. Results</title><p>The controls and stroke cases were age matched (p = 0.054) (<xref ref-type="table" rid="table2">Table 2</xref>). There were more males in the stroke subjects (62.1%) compared to the controls (47.5%) and differed significantly (p = 0.023). The stoke subjects had significantly higher mean plasma renin [(1.8 &#177; 0.1) pg/ml, p &lt; 0.001], serum aldosterone [(2.9 &#177; 0.2) pg/ml, p &lt; 0.001)] and ARR [(1.1 &#177;0.2), p &lt; 0.001] compared to the controls [(1.4 &#177; 0.1) pg/ml, (2.3 &#177; 0.2) pg/ml and (0.9 &#177; 0.1)] respectively. Additionally, the case cohort had significantly larger average waist circumference (88.8 &#177; 14.6 vs 84.4 &#177; 8.2, p = 0.026) cm, waist-to-hip ratio (0.9 &#177; 0.1 vs 0.8 &#177; 0.1, p = 0.006) and body mass index (27.8 &#177; 4.7 vs 23.4 &#177; 5.1, p &lt; 0.001) kg/m<sup>2</sup>.</p><p>Per the NCEP-ATP, IDF and HMS criteria, metSyn prevalence of 8.3%, 9.2% and 6.7% respectively were recorded in the control subjects where as 50.0%, 71.2% and 71.2% respectively were recorded in the stroke subjects. Moreover, 36.4%, 12.1% and 13.6% of the stroke participants per NCEP-ATP, IDF and HMS criteria respectively had 2 clusters of metabolic syndrome components.</p><p>In the Bland Altman analysis above, there was an excellent agreement between NCEP_ATP versus IDF [bias = −0.107, 95%CI (−0.545 - 0.759)], NCEP_ATP versus H_MS [bias = −0.093, 95%CI (−0.525 - 0.710)], IDF versus H_MS [bias = −0.346, 95%CI (−0.317 - 0.317)] (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>In the unadjusted model A, hypertension (OR = 9.2, p = 0.001), diabetes (OR = 5.8, p &lt; 0.001), obesity (OR = 12.5, p &lt; 0.001), third tertile renin (T<sub>3</sub>) (OR = 9.1, p &lt; 0.001), third tertile aldosterone (T<sub>3</sub>) (OR = 3.6, p &lt; 0.001) and high total cholesterol (OR = 2.4, p = 0.039) were significantly associated with metabolic syndrome compared to normotensives, non-diabetics, non-obese, lower renin- aldosterone quartiles and desirable total cholesterol values respectively. However, after adjusting for age, gender, diabetes and hypertension in model C, only obesity (aOR = 11.7, p = 0.004) and third tertile aldosterone (OR = 2.7, p = 0.008) were significantly associated with increased odds of metabolic syndrome.</p><p>Whereas plasma renin moderately correlated positively and significantly with WC (r = 0.493, p &lt; 0.05) in metabolic syndrome subjects, it insignificantly</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> General characteristics of study participants</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >Controls, n (%)</th><th align="center" valign="middle" >Cases, n (%)</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" >57.5 &#177; 11.1</td><td align="center" valign="middle" >59.6 &#177; 12.8</td><td align="center" valign="middle" >0.054</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >57 (47.5)</td><td align="center" valign="middle" >82 (62.1)</td><td align="center" valign="middle" >0.023</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >63 (52.5)</td><td align="center" valign="middle" >50 (37.9)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Anthropometry</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >WC (cm)</td><td align="center" valign="middle" >84.4 &#177; 8.2</td><td align="center" valign="middle" >88.8 &#177; 14.6</td><td align="center" valign="middle" >0.026</td></tr><tr><td align="center" valign="middle" >HC (cm)</td><td align="center" valign="middle" >102.6 &#177; 10.9</td><td align="center" valign="middle" >102.0 &#177; 13.9</td><td align="center" valign="middle" >0.784</td></tr><tr><td align="center" valign="middle" >WHR</td><td align="center" valign="middle" >0.8 &#177; 0.1</td><td align="center" valign="middle" >0.9 &#177; 0.1</td><td align="center" valign="middle" >0.006</td></tr><tr><td align="center" valign="middle" >BMI (kg/m<sup>2</sup>)</td><td align="center" valign="middle" >23.4 &#177; 5.1</td><td align="center" valign="middle" >27.8 &#177; 4.7</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Haemodynamic</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >SBP (mmHg)</td><td align="center" valign="middle" >123.5 &#177; 4.5</td><td align="center" valign="middle" >168.9 &#177; 20.8</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >DBP (mmHg)</td><td align="center" valign="middle" >77.1 &#177; 4.3</td><td align="center" valign="middle" >99.2 &#177; 16.3</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >PP (mmHg)</td><td align="center" valign="middle" >46.4 &#177; 5.1</td><td align="center" valign="middle" >69.7 &#177; 10.6</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >MAP (mmHg)</td><td align="center" valign="middle" >92.5 &#177; 3.7</td><td align="center" valign="middle" >122.4 &#177; 17.2</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Hypertension (yes) n, (%)</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >120 (90.9)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Hypertension duration (years)</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >7.1 (1.4 - 16.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Socio-demographic</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Past alcohol status</td><td align="center" valign="middle" >73 (60.8)</td><td align="center" valign="middle" >66 (50.0)</td><td align="center" valign="middle" >0.234</td></tr><tr><td align="center" valign="middle" >Family history of HTN</td><td align="center" valign="middle" >60 (50.0)</td><td align="center" valign="middle" >36 (27.2)</td><td align="center" valign="middle" >0.009</td></tr><tr><td align="center" valign="middle" >Family history of CVD</td><td align="center" valign="middle" >3 (2.5)</td><td align="center" valign="middle" >12 (9.1)</td><td align="center" valign="middle" >0.148</td></tr><tr><td align="center" valign="middle" >Biochemical Assays</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Log renin (pg/ml)</td><td align="center" valign="middle" >1.4 &#177; 0.1</td><td align="center" valign="middle" >1.8 &#177; 0.1</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Log aldosterone (pg/ml)</td><td align="center" valign="middle" >2.3 &#177; 0.2</td><td align="center" valign="middle" >2.9 &#177; 0.2</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Log ARR</td><td align="center" valign="middle" >0.9 &#177; 0.1</td><td align="center" valign="middle" >1.1 &#177; 0.2</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Total cholesterol (mmol/l)</td><td align="center" valign="middle" >5.2 &#177; 0.9</td><td align="center" valign="middle" >5.5 &#177; 1.4</td><td align="center" valign="middle" >0.088</td></tr><tr><td align="center" valign="middle" >Triglyceride (mmol/l)</td><td align="center" valign="middle" >1.5 &#177; 0.7</td><td align="center" valign="middle" >1.2 &#177; 0.4</td><td align="center" valign="middle" >0.007</td></tr><tr><td align="center" valign="middle" >HDL-cholesterol (mmol/l)</td><td align="center" valign="middle" >1.8 &#177; 0.3</td><td align="center" valign="middle" >1.2 &#177; 0.4</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >LDL-cholesterol (mmol/l)</td><td align="center" valign="middle" >2.7 &#177; 0.9</td><td align="center" valign="middle" >3.9 &#177; 1.4</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >FBG (mmol/l)</td><td align="center" valign="middle" >4.6 &#177; 0.7</td><td align="center" valign="middle" >4.9 &#177; 0.9</td><td align="center" valign="middle" >0.057</td></tr></tbody></table></table-wrap><p>Categorical data are presented as a proportion with corresponding percentages in parenthesis. Continuous variables are presented as mean &#177; standard deviation. The proportions were compared using Fischer’s exact test. Continuous variables were compared using independent t-test and Mann Whitney U test where applicable. Mets: HS: hypertensive strokes, WC: waist circumference, HC: hip circumference, WHR: waist to hip ratio, BMI: body mass index, SBP: systolic blood pressure, DBP: diastolic blood pressure, PP: pulse pressure, HTN: hypertension, CVD: cardiovascular disease, ARR: aldosterone renin ratio, HDL: high density lipoprotein, LDL: low density lipoprotein, FBG: fasting blood glucose.</p><p>correlated with WC in non-metabolic syndrome subjects (r = 0.274, p &gt; 0.05), as indicated in <xref ref-type="table" rid="table5">Table 5</xref>. Moreover, serum aldosterone negatively and significantly correlated with HDL-cholesterol (r = −0.317, p &lt; 0.05) in metabolic syndrome subjects but was insignificant in non-metabolic syndrome subjects (r = −0.429, p &gt; 0.05). In addition, serum aldosterone was significantly associated with increasing triglyceride in the metabolic syndrome group (r = 0.439, p &lt; 0.05) but not in the non-metabolic syndrome group (r = 0.225, p &gt; 0.05).</p></sec><sec id="s5"><title>5. Discussion</title><p>Metabolic syndrome (Metsyn) is known to increase the risk of adverse outcomes in stroke patients [<xref ref-type="bibr" rid="scirp.79659-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.79659-ref25">25</xref>] . Renin and aldosterone have been associated with the pathogenesis of obesity-related hypertension and weight loss has been shown to be complemented by reductions in plasma renin activity (PRA) and plasma aldosterone [<xref ref-type="bibr" rid="scirp.79659-ref26">26</xref>] . Albeit the role of the renin angiotensin aldosterone system in blood pressure regulation is well understood, its role in metabolic syndrome remains vague. In this study therefore, the relationships between the RAAS parameters and metabolic syndrome in some ischaemic stroke subjects were evaluated against data from apparently healthy cohorts within the same geographical boundary.</p><p>The study considered three different diagnostic criteria, NCEP, IDF and HSM. The overall degree of agreements between NCEP/IDF [bias = 0.107 (−0.545 - 0.760), r = 0.124 (−0.043 - 0.284)], NCEP/HMS [bias = 0.093 (−0.525 - 0.710), r = 0.118 (−0.049 - 0.278)] and IDF/H_MS [bias = −0.014 (−0.346 - 0.317), r = −0.022 (−0.187 - 0.145)] were excellent. However, each criteria gave different prevalence rates of 50.0%, 71.2% and 71.2% in the ischaemic group, 8.3%, 9.2%, and 6.7% in the normotensive control group per the NCEP-ATP, IDF and HMS criteria, respectively (<xref ref-type="table" rid="table2">Table 2</xref> and <xref ref-type="table" rid="table3">Table 3</xref>).</p><p>In this study, MetSyn prevalence in the ischaemic stroke subjects defined by IDF and HMS criteria are higher than in previous studies conducted among Chinese acute stroke subjects (51.35%), ischaemic stroke subjects in India (60%) and Iran (62%) [<xref ref-type="bibr" rid="scirp.79659-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.79659-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.79659-ref27">27</xref>] . The discrepancies could be due to the differences in proportions of co-morbidities among study subjects. For instance, Mi et al. (2012) reported 87.5% hypertension prevalence in his subjects whereas 90.9% of the stroke subjects in this study were hypertensives. Sample size differences and inconsistencies in metabolic syndrome criteria could also have contributed to the differences in MetSyn prevalence.</p><p>The stroke subjects had significantly higher plasma renin, aldosterone and ARR compared to the control cohort (<xref ref-type="table" rid="table2">Table 2</xref>) suggesting that, the RAAS could have significant effect on cerebral circulation. In a review by [<xref ref-type="bibr" rid="scirp.79659-ref28">28</xref>] , angiotensin peptides and angiotensinergic neural pathways were found to be important in neural function. Though the distribution of angiotensin II receptor 1 (AT 1) coincides with some brain regions, neither renin nor angiotensin II and its related peptides nor renin pass readily from the blood into the brain interstitium [<xref ref-type="bibr" rid="scirp.79659-ref29">29</xref>] . Local intrinsic RAAS has therefore been proposed [<xref ref-type="bibr" rid="scirp.79659-ref30">30</xref>] .</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Prevalence of clustering of one or two or more components of metabolic syndrome</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >PARAMETERS</th><th align="center" valign="middle" >Total</th><th align="center" valign="middle" >Controls</th><th align="center" valign="middle" >Cases</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle" >NCEP-ATP</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >35 (13.9)</td><td align="center" valign="middle" >31 (25.8)</td><td align="center" valign="middle" >4 (3.0)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >88 (34.9)</td><td align="center" valign="middle" >64 (53.3)</td><td align="center" valign="middle" >24 (18.2)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >53 (21.0)</td><td align="center" valign="middle" >15 (12.5)</td><td align="center" valign="middle" >38 (28.8)</td><td align="center" valign="middle" >0.0012</td></tr><tr><td align="center" valign="middle" >≥3 (MetSyn)</td><td align="center" valign="middle" >76 (30.2)</td><td align="center" valign="middle" >10 (8.3)</td><td align="center" valign="middle" >66 (50.0)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >IDF,</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >9 (3.6)</td><td align="center" valign="middle" >9 (7.5)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >0.060</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >90 (37.7)</td><td align="center" valign="middle" >68 (56.7)</td><td align="center" valign="middle" >22 (16.7)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >48 (19.0)</td><td align="center" valign="middle" >32 (26.7)</td><td align="center" valign="middle" >16 (12.1)</td><td align="center" valign="middle" >0.035</td></tr><tr><td align="center" valign="middle" >≥3 (MetSyn)</td><td align="center" valign="middle" >105 (41.7)</td><td align="center" valign="middle" >11 (9.2)</td><td align="center" valign="middle" >94 (71.2)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >HMS,</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >12 (4.8)</td><td align="center" valign="middle" >12 (9.5)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >0.014</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >91 (36.1)</td><td align="center" valign="middle" >71 (59.5)</td><td align="center" valign="middle" >20 (15.2)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >47 (18.7)</td><td align="center" valign="middle" >29 (24.3)</td><td align="center" valign="middle" >18 (13.6)</td><td align="center" valign="middle" >0.135</td></tr><tr><td align="center" valign="middle" >≥3 (MetSyn)</td><td align="center" valign="middle" >102 (40.5)</td><td align="center" valign="middle" >8 (6.7)</td><td align="center" valign="middle" >94 (71.2)</td><td align="center" valign="middle" >&lt;0.001</td></tr></tbody></table></table-wrap><p>Data are presented as a proportion with corresponding percentages in parenthesis. The proportions were compared using Fischer’s exact test. Mets: Metabolic Syndrome. HS: hypertensives with stroke, WHO: World Health Organization, NCEP-ATP III: National Cholesterol Education Program-Adult Treatment Panel III, IDF: International Diabetes Federation and H_MS: Harmonization.</p><p>This is apparent considering the fact that, anti-RAAS therapies have been proven to have cerebrovascular protective effects [<xref ref-type="bibr" rid="scirp.79659-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.79659-ref32">32</xref>] .</p><p>Moreover, high serum aldosterone was independently associated with metabolic syndromein this study (<xref ref-type="table" rid="table4">Table 4</xref>). To the best of our knowledge, this is perhaps the first time RAAS and its role in MetSyn has been studied specifically in stroke subjects. The effect of aldosterone on MetSyn in other conditions has however been studied. Higher significant levels were found in MetSyn participants compared to non-MetSyn subjects among patients with obstructive sleep apnea hypopnea syndrome (OSAHS) [<xref ref-type="bibr" rid="scirp.79659-ref33">33</xref>] . Similarly, a cross-sectional study conducted in 356 participants from 69 families of African descent Seychelles found aldosterone to be independently associated with metabolic syndrome [<xref ref-type="bibr" rid="scirp.79659-ref34">34</xref>] . Furthermore, Kidambi et al., (2007) found that plasma aldosterone levels and not PRA, were elevated in subjects with metabolic syndrome (P = 0.0002) in a study conducted in 182 hypertensive cases and 215 normotensive control Black Americans [<xref ref-type="bibr" rid="scirp.79659-ref26">26</xref>] . Besides increasing blood pressure, non-genomic effects of mineralocorticoid receptor (MR) activation by aldosterone has been found to also include activation of mitogen-activated protein (MAP) kinase and intercellular adhesion molecule (ICAM) 1 pathways which play key roles in atherosclerosis [<xref ref-type="bibr" rid="scirp.79659-ref35">35</xref>] . Aldosterone also increases the production of reactive oxygen species (ROS) through decreases in glucose-6-phosphate dehydrogenase activity and activation</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Predictors of metabolic syndrome in ischaemic strokes subjects</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Model A</th><th align="center" valign="middle"  colspan="2"  >Model B</th><th align="center" valign="middle"  colspan="2"  >Model C</th></tr></thead><tr><td align="center" valign="middle" >cOR (95%CI)</td><td align="center" valign="middle" >P-value</td><td align="center" valign="middle" >aOR (95%CI)</td><td align="center" valign="middle" >P-value</td><td align="center" valign="middle" >aOR (95%CI)</td><td align="center" valign="middle" >P-value</td></tr><tr><td align="center" valign="middle" >PAge</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;40</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >40 - 60</td><td align="center" valign="middle" >0.1 (0.0 - 0.3)</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.3 (0.1 - 0.7)</td><td align="center" valign="middle" >0.047</td><td align="center" valign="middle" >0.6 (0.3 - 2.6)</td><td align="center" valign="middle" >0.513</td></tr><tr><td align="center" valign="middle" >&gt;60</td><td align="center" valign="middle" >0.3 (0.1 - 1.7)</td><td align="center" valign="middle" >0.177</td><td align="center" valign="middle" >0.5 (0.2 - 1.8)</td><td align="center" valign="middle" >0.235</td><td align="center" valign="middle" >0.7 (0.3 - 3.2)</td><td align="center" valign="middle" >0.723</td></tr><tr><td align="center" valign="middle" >Gender, males</td><td align="center" valign="middle" >0.7 (0.4 - 1.5)</td><td align="center" valign="middle" >0.412</td><td align="center" valign="middle" >0.6 (0.2 - 3.4)</td><td align="center" valign="middle" >0.672</td><td align="center" valign="middle" >0.8 (0.2 - 4.0)</td><td align="center" valign="middle" >0.508</td></tr><tr><td align="center" valign="middle" >Alcohol status (yes)</td><td align="center" valign="middle" >1.4 (0.7 - 3.0)</td><td align="center" valign="middle" >0.392</td><td align="center" valign="middle" >1.02 (0.51 - 1.1)</td><td align="center" valign="middle" >0.542</td><td align="center" valign="middle" >1.0 (0.2 - 2.1)</td><td align="center" valign="middle" >0.672</td></tr><tr><td align="center" valign="middle" >Smoking status (yes)</td><td align="center" valign="middle" >2.3 (0.5 - 4.9)</td><td align="center" valign="middle" >0.413</td><td align="center" valign="middle" >1.8 (0.6 - 3.3)</td><td align="center" valign="middle" >0.444</td><td align="center" valign="middle" >1.5 (0.6 - 3.0)</td><td align="center" valign="middle" >0.700</td></tr><tr><td align="center" valign="middle" >FH of CVD (yes)</td><td align="center" valign="middle" >1.8 (0.24 - 2.5)</td><td align="center" valign="middle" >0.672</td><td align="center" valign="middle" >1.09 (0.00 - 3.27)</td><td align="center" valign="middle" >0.093</td><td align="center" valign="middle" >1.1 (0.0 - 2.9)</td><td align="center" valign="middle" >0.087</td></tr><tr><td align="center" valign="middle" >Diabetes (yes)</td><td align="center" valign="middle" >5.8 (1.4 - 37.1)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >4.2 (2.3 - 20.1)</td><td align="center" valign="middle" >0.022</td><td align="center" valign="middle" >3.2 (1.8 - 15.8)</td><td align="center" valign="middle" >0.059</td></tr><tr><td align="center" valign="middle" >High BP (≥130/90 mmHg) (yes)</td><td align="center" valign="middle" >9.2 (2.6 - 32.9)</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >6.9 (1.8 - 26.7)</td><td align="center" valign="middle" >0.005</td><td align="center" valign="middle" >5.0 (2.0 - 27.0)</td><td align="center" valign="middle" >0.031</td></tr><tr><td align="center" valign="middle" >BMI (kg/m<sup>2</sup>)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >2.5 (1.1 - 5.6)</td><td align="center" valign="middle" >0.032</td><td align="center" valign="middle" >3.8 (1.5 - 9.5)</td><td align="center" valign="middle" >0.140</td><td align="center" valign="middle" >2.8 (0.7 - 11.0)</td><td align="center" valign="middle" >0.140</td></tr><tr><td align="center" valign="middle" >Obese</td><td align="center" valign="middle" >12.5 (4.0 - 38.6)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >18.5 (5.2 - 66.5)</td><td align="center" valign="middle" >0.004</td><td align="center" valign="middle" >11.7 (2.2 - 62.8)</td><td align="center" valign="middle" >0.004</td></tr><tr><td align="center" valign="middle" >Plasma Renin</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >T<sub>2</sub> (25.0 - 38.2) pg/ml</td><td align="center" valign="middle" >8.5 (1.0 - 72.0)</td><td align="center" valign="middle" >0.049</td><td align="center" valign="middle" >8.3 (1.0 - 71.5)</td><td align="center" valign="middle" >0.053</td><td align="center" valign="middle" >4.0 (0.4 - 38.8)</td><td align="center" valign="middle" >0.228</td></tr><tr><td align="center" valign="middle" >T<sub>3</sub> (&gt;38.2) pg/ml</td><td align="center" valign="middle" >9.1 (7.6 - 59.8)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >6.4 (4.2 - 40.5)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >1.6 (0.1 - 22.7)</td><td align="center" valign="middle" >0.742</td></tr><tr><td align="center" valign="middle" >Plasma Aldosterone</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >T<sub>2</sub> (182 - 504) pg/ml</td><td align="center" valign="middle" >2.1 (0.4 - 12.5)</td><td align="center" valign="middle" >0.402</td><td align="center" valign="middle" >2.3 (0.4 - 13.7)</td><td align="center" valign="middle" >0.357</td><td align="center" valign="middle" >2.0 (0.3 - 13.8)</td><td align="center" valign="middle" >0.478</td></tr><tr><td align="center" valign="middle" >T<sub>3</sub> (&gt;504) pg/ml</td><td align="center" valign="middle" >3.6 (1.1 - 43.2</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >3.1 (1.8 - 41.5)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >2.7 (1.2 - 10.0)</td><td align="center" valign="middle" >0.008</td></tr><tr><td align="center" valign="middle" >Total Cholesterol (mmol/l)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >borderline high (5.18 - 6.18)</td><td align="center" valign="middle" >0.3 (0.1 - 0.9)</td><td align="center" valign="middle" >0.034</td><td align="center" valign="middle" >0.4 (0.1 - 1.0)</td><td align="center" valign="middle" >0.057</td><td align="center" valign="middle" >0.3 (0.1 - 1.6)</td><td align="center" valign="middle" >0.156</td></tr><tr><td align="center" valign="middle" >High (≥ 6.12)</td><td align="center" valign="middle" >2.4 (1.1 - 5.6)</td><td align="center" valign="middle" >0.039</td><td align="center" valign="middle" >2.5 (1.1 - 6.0)</td><td align="center" valign="middle" >0.033</td><td align="center" valign="middle" >1.3 (0.3 - 5.0)</td><td align="center" valign="middle" >0.708</td></tr><tr><td align="center" valign="middle" >Triglyceride (mmol/l)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Borderline high (1.7 - 2.2)</td><td align="center" valign="middle" >0.1 (0.0 - 1.2)</td><td align="center" valign="middle" >0.077</td><td align="center" valign="middle" >0.1 (0.0 - 0.9)</td><td align="center" valign="middle" >0.044)</td><td align="center" valign="middle" >3.4 (0.3 - 45.0)</td><td align="center" valign="middle" >0.360</td></tr><tr><td align="center" valign="middle" >High (&gt;2.2)</td><td align="center" valign="middle" >5.5 (1.7 - 18.3)</td><td align="center" valign="middle" >0.005</td><td align="center" valign="middle" >4.5 (1.3 - 15.5)</td><td align="center" valign="middle" >0.017</td><td align="center" valign="middle" >5.3 (4.0 - 314.0)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >HDL cholesterol (mmol/l)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Medium (1.0 - 1.6)</td><td align="center" valign="middle" >0.1 (0.0 - 1.4)</td><td align="center" valign="middle" >0.115</td><td align="center" valign="middle" >0.6 (0.3 - 2.2)</td><td align="center" valign="middle" >0.300</td><td align="center" valign="middle" >0.8 (0.2 - 9.3)</td><td align="center" valign="middle" >0.414</td></tr><tr><td align="center" valign="middle" >High (&gt;1.6)</td><td align="center" valign="middle" >0.4 (0.0 - 0.8)</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >0.6 (0.2 - 3.5)</td><td align="center" valign="middle" >0.205</td><td align="center" valign="middle" >0.5 (0.0 - 3.0)</td><td align="center" valign="middle" >0.431</td></tr><tr><td align="center" valign="middle" >LDL-C (&gt;4.13) mmol/l</td><td align="center" valign="middle" >0.8 (0.2 - 2.7)</td><td align="center" valign="middle" >0.735</td><td align="center" valign="middle" >1.1 (0.3 - 3.9)</td><td align="center" valign="middle" >0.874</td><td align="center" valign="middle" >1.0 (0.2 - 4.0)</td><td align="center" valign="middle" >0.937</td></tr></tbody></table></table-wrap><p>Model A: unadjusted; Model B: adjusted for age and gender; Model C: adjusted for age, gender, diabetes and hypertension; Reference categories: Age (&lt;40 years), healthy BMI (18.5 - 25.0 kg/m<sup>2</sup>), first tertile renin (&lt;25.0 pg/ml), first tertile aldosterone (&gt;504.0 pg/ml), desirable total cholesterol (&lt;5.18 mmol/l), desirable triglyceride (&lt;1.7 mmol/l), low HDL cholesterol (&lt;1.0 mmol/l) and optimal LDL cholesterol (&lt;2.59 mmol/l).</p><p>of NAD (P) H oxidase [<xref ref-type="bibr" rid="scirp.79659-ref36">36</xref>] . Mineralocorticoid receptor antagonists used in combination with ACE inhibitors and or angiotensin II blockers (ARBs) have shown beneficial effects in diabetic nephropathy [<xref ref-type="bibr" rid="scirp.79659-ref37">37</xref>] .</p><p>MR antagonists may therefore have positive effects on various components of the MetSyn through improving insulin sensitivity, reducing blood pressure, decreasing the pro-inflammatory state of MetSyn, and hence reduction in CVD occurrences [<xref ref-type="bibr" rid="scirp.79659-ref12">12</xref>] .</p><p>Aldosterone significantly correlated negatively with HDL-cholesterol (r = −0.317, p &lt; 0.05) and positively with triglyceride concentration (r = 0.439, p &lt; 0.05) in the metabolic syndrome participants (<xref ref-type="table" rid="table5">Table 5</xref>). Though the mechanism behind these correlations is not fully understood, aldosterone production has been shown to be stimulated by free fatty acids released from visceral adipose tissues [<xref ref-type="bibr" rid="scirp.79659-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.79659-ref39">39</xref>] . This is also consistent with the observation that drospirenone, an oral contraceptive with antimineralocorticoid properties, which is chemically related to spironolactone (a mineralocorticoid receptor blocker), significantly increased HDL cholesterol in young healthy women [<xref ref-type="bibr" rid="scirp.79659-ref40">40</xref>] .</p><p>In this study, increasing plasma renin was not independently associated with metabolic syndrome (<xref ref-type="table" rid="table4">Table 4</xref>). Contrary to this, among 29 volunteers with a range of risk factors studied, patients with more metabolic syndrome factor clustering including abdominal obesity and high blood pressure had significantly greater values for renin independent of dietary salt intake [<xref ref-type="bibr" rid="scirp.79659-ref41">41</xref>] . More recently, a prospective study involving 5301 African American adults, aged 21 - 94 years showed that log-transformed plasma renin levels were associated with Metsyn and its components in fully adjusted models [<xref ref-type="bibr" rid="scirp.79659-ref42">42</xref>] .</p><p>In this study, plasma renin levels significantly correlated negatively (r = −0.319, p &lt; 0.05) with HDL-cholesterol levels. Concordance with this study, multivariate logistic regression analysis in a cross-sectional study showed that high PRA was independently associated high HDL-C [<xref ref-type="bibr" rid="scirp.79659-ref43">43</xref>] . Another cross-sec- tional study in 985 subjects with metSyn and 515 without metSyn showed that renin levels increased and correlated inversely with HDL [<xref ref-type="bibr" rid="scirp.79659-ref44">44</xref>] . Conversely, in a</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Correlation co-efficient between Renin, Aldosterone and some metabolic Parameters in the hypertensive stroke subjects</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameters</th><th align="center" valign="middle"  colspan="2"  >Non-MetSyn</th><th align="center" valign="middle"  colspan="2"  >MetSyn</th></tr></thead><tr><td align="center" valign="middle" >Renin (pg/ml)</td><td align="center" valign="middle" >Aldosterone (pg/ml)</td><td align="center" valign="middle" >Renin (pg/ml)</td><td align="center" valign="middle" >Aldosterone (pg/ml)</td></tr><tr><td align="center" valign="middle" >WC</td><td align="center" valign="middle" >0.274</td><td align="center" valign="middle" >0.515*</td><td align="center" valign="middle" >0.493*</td><td align="center" valign="middle" >0.588*</td></tr><tr><td align="center" valign="middle" >HC</td><td align="center" valign="middle" >0.195</td><td align="center" valign="middle" >0.453</td><td align="center" valign="middle" >0.139</td><td align="center" valign="middle" >0.262</td></tr><tr><td align="center" valign="middle" >WHR</td><td align="center" valign="middle" >0.422</td><td align="center" valign="middle" >0.457</td><td align="center" valign="middle" >0.511</td><td align="center" valign="middle" >0.503*</td></tr><tr><td align="center" valign="middle" >BMI</td><td align="center" valign="middle" >0.202</td><td align="center" valign="middle" >0.667*</td><td align="center" valign="middle" >0.260</td><td align="center" valign="middle" >0.691*</td></tr><tr><td align="center" valign="middle" >HDL</td><td align="center" valign="middle" >−0.608*</td><td align="center" valign="middle" >−0.429</td><td align="center" valign="middle" >−0.319*</td><td align="center" valign="middle" >−0.317*</td></tr><tr><td align="center" valign="middle" >LDL</td><td align="center" valign="middle" >0.579*</td><td align="center" valign="middle" >0.546*</td><td align="center" valign="middle" >0.393</td><td align="center" valign="middle" >0.318*</td></tr><tr><td align="center" valign="middle" >TC</td><td align="center" valign="middle" >0.466*</td><td align="center" valign="middle" >0.403*</td><td align="center" valign="middle" >0.371</td><td align="center" valign="middle" >0.678*</td></tr><tr><td align="center" valign="middle" >FBG</td><td align="center" valign="middle" >0.213</td><td align="center" valign="middle" >0.176</td><td align="center" valign="middle" >0.281</td><td align="center" valign="middle" >0.492</td></tr><tr><td align="center" valign="middle" >TG</td><td align="center" valign="middle" >0.446</td><td align="center" valign="middle" >0.225</td><td align="center" valign="middle" >0.481</td><td align="center" valign="middle" >0.439*</td></tr></tbody></table></table-wrap><p>*significant correlation (p &lt; 0.05); WC, waist circumference; HC, hip circumference; WHR, waist-to-hip ratio; BMI, body mass index; HDL, high density lipoprotein; LDL, low density lipoprotein; TC, total cholesterol; FBG, fasting blood glucose; TG, triglyceride.</p><p>cross-sectional study involving 80 males with central obesity, plasma renin activity had a positive correlation with HDL-cholesterol (r = 0.273; p = 0.014) [<xref ref-type="bibr" rid="scirp.79659-ref45">45</xref>] . The effects of anti-hypertensive drugs could be the reason behind the contrary views expressed.</p><p>We also witnessed a positive significant correlation between plasma renin and waist circumference (r = 0.493, p &lt; 0.05). This is suggestive of renin playing key role in obesity and is in keeping with increased plasma angiotensinogen (a direct product of renin activity) in obese patients as compared with non-obese patients in a study by [<xref ref-type="bibr" rid="scirp.79659-ref46">46</xref>] . Moreover, an in vivo investigation of angiotensinogen (AGT) expression in adipose tissue and liver of Zucker rats during the onset of obesity showed adipocytes from obese rats displaying a significant increase in AGT content than in non-obese rats [<xref ref-type="bibr" rid="scirp.79659-ref47">47</xref>] .</p><p>Increased renin activity, a characteristic of an up regulated renin-angiotensin- aldosterone system has been described in patients with visceral obesity which improves with weight loss [<xref ref-type="bibr" rid="scirp.79659-ref9">9</xref>] . This has been explained by many as a result of the presence of local renin-angiotensin-aldosterone system in the adipose tissue which may play a significant role in the pathophysiology of obesity and of obesity-related hypertension [<xref ref-type="bibr" rid="scirp.79659-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.79659-ref48">48</xref>] .</p><p>Whilst a case can be made about the potential role of both renin and aldosterone in the pathophysiology of metabolic syndrome among ischaemic stroke patients in this study, the use of case-control study design limits their absolute cause and effect relationship. Moreover, plasma renin was measured as a concentration other than the more standardized measurement of its activity that is plasma renin activity (PRA). Therefore, further studies which employ robust study design involving follow-ups and measurement of PRA instead of concentration are warranted to fully understand the mechanism behind the RAAS and metabolic syndrome.</p></sec><sec id="s6"><title>6. Conclusion</title><p>This study has demonstrated a high prevalence of metabolic syndrome among ischaemic stroke patients at the Komfo Anokye Teaching Hospital. Raised blood aldosterone was shown to be significantly associated with metabolic syndrome in the stroke subjects. These findings underpin the observations that increased aldosterone levels may exacerbate metabolic defects in people with ischaemic stroke. Therefore, combination of standard treatments with available mineralocorticoid receptor antagonists including spironolactone and eplerenone in ischaemic strokes may halt further vascular deterioration and re-occurrence of stroke. Other potent risk factors identified were high blood pressure, obesity and triglyceridaemia. Further studies with larger sample size and robust study design involving follow ups are warranted to fully understand the role RAAS plays in cardio-metabolic syndrome in ischaemic strokes.</p></sec><sec id="s7"><title>Acknowledgements</title><p>The authors would like to acknowledge the management and staff of Department of Medicine, Komfo Anokye Teaching Hospital for allowing us carry out this work in their department. We are also grateful to all participants of this work for voluntarily agreeing to partake in this study.</p></sec><sec id="s8"><title>Competing Interest</title><p>The authors declare that there is no conflict of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Funding</title><p>There was no funding for this work</p></sec><sec id="s10"><title>Ethical Approval</title><p>Ethical approval (CHRPE/AP/377/15) for the study was obtained from the Committee on Human Research, Publication and Ethics (CHRPE) of the School of Medical Sciences (SMS), Kwame Nkrumah University of Science and Technology (KNUST) and Research and Development Unit KATH. Informed consent was obtained from all participants and participation was voluntary.</p></sec><sec id="s11"><title>Contributorship</title><p>Francis Agyemang Yeboah contributed to the conception of the research idea, design data analysis and interpretation, paper drafting and revision. Benjamin Ackon Eghan contributed to the conception of the research idea, design, data analysis and interpretation, paper drafting and revision. Bernard Nkum contributed to the conception of the research idea, design, data collection, data analysis and interpretation, paper drafting and revision</p><p>Bright Amankwaa contributed to research design, patient recruitment, collection data analysis and interpretation, paper drafting and revision. Emmanuel Acheampong contributed to research design, patient recruitment and collection. Paul Nsiah contributed to the conception of the research idea, design and data collection. Lawrence Owusu and Perditer Okyere contributed to the conception of the research idea, design, and data collection. Emmanuella Batu Nsenba contributed to the research idea, design and data collection. Enoch Odame Anto contributed to research design, patient recruitment, collection data analysis and interpretation.</p></sec><sec id="s12"><title>Cite this paper</title><p>Yeboah, F.A., Nkum, B., Amankwaa, B., Eghan Jr., B.A., Acheampong, E., Nsiah, P., Okyere, P., Owusu, L., Nsenba, E.B. and Odame, E. Anto (2017) Metabolic Syndrome among Ischaemic Stroke Patients in Ghana: The Possible Role of Renin and Aldosterone. Open Access Library Journal, 4: e3952. https://doi.org/10.4236/oalib.1103952</p></sec></body><back><ref-list><title>References</title><ref id="scirp.79659-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Boldyreff, B. and Wehling, M. (2003) Non-Genomic Actions of Aldosterone: Mechanisms and Consequences in Kidney Cells. 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