<?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.1102635</article-id><article-id pub-id-type="publisher-id">OALibJ-69291</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>
 
 
  Correlation between Inflammatory Markers and Lipid Parameters in a Tunisian Coronary Artery Disease Group
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rihab</surname><given-names>Sendesni</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>Dhaker</surname><given-names>Lahidheb</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Manel</surname><given-names>Ayoub</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>Nedra</surname><given-names>Grira</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>Dhekra</surname><given-names>Lafi</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>Nejla</surname><given-names>Stambouli</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>Mabrouka</surname><given-names>El Oudi</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>Ezzedine</surname><given-names>Ghazouani</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Habib</surname><given-names>Haouala</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zied</surname><given-names>Aouni</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>Chakib</surname><given-names>Mazigh</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Immunology Department, Military Hospital of Tunis, Tunis, Tunisia</addr-line></aff><aff id="aff2"><addr-line>Cardiology Department, Research Unit UR12DN02, Military Hospital of Tunis, Tunis, Tunisia</addr-line></aff><aff id="aff1"><addr-line>Biochemistry Department, Research Unit UR12DN02, Military Hospital of Tunis, Tunis, Tunisia</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>sendesnirihab22@gmail.com(RS)</email>;<email>dhakerlahidheb@yahoo.fr(DL)</email>;<email>manelayoub@yahoo.fr(MA)</email>;<email>nedra.grira@yahoo.fr(NG)</email>;<email>dhekralafi@yahoo.fr(DL)</email>;<email>nejlastam@gmail.com(NS)</email>;<email>doc_mo@ymail.com(MEO)</email>;<email>eghazouani@yahoo.fr(EG)</email>;<email>habibhaouala@yahoo.fr(HH)</email>;<email>aouni_zied@yahoo.fr(ZA)</email>;<email>chakibmazigh@yahoo.fr(CM)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>31</day><month>05</month><year>2016</year></pub-date><volume>03</volume><issue>05</issue><fpage>1</fpage><lpage>9</lpage><history><date date-type="received"><day>30</day>	<month>April</month>	<year>2016</year></date><date date-type="rev-recd"><day>accepted</day>	<month>15</month>	<year>May</year>	</date><date date-type="accepted"><day>18</day>	<month>May</month>	<year>2016</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>
 
 
   
   Aims: To evaluate the relationship between inflammatory biomarkers and lipid parameters in a Tunisian coronary artery disease group. Material and Methods: In the study, we have included 122 subjects with acute coronary syndrome (ACS) confirmed by coronary angiography, selected among patients admitted to the cardiology department and 162 subjects free of any cardiovascular disease, recruited from medical and paramedical volunteers. Lipid parameters, high sensitivity CRP (hsCRP) and proinflammatory cytokines (IL6, IL8 and TNF
   α
   ) were determined for all patients and controls. Results: A highly significant difference (P &lt; 10
   <sup style="line-height:1.5;">﹣</sup>
   <sup style="line-height:1.5;">3</sup>
   ) was noted between the mean of the hsCRP in coronary patients (14.65 &#177; 9.81 mg/L) compared to controls (1.63 &#177; 1.75 mg/L). We note also a significant difference between the means of IL6 in the diseased population (11.56 &#177; 8.23 pg/mL) compared to controls (2.5 &#177; 0.84 pg/mL) with a value of P &lt; 10
   <sup style="line-height:1.5;">﹣</sup>
   <sup style="line-height:1.5;">3</sup>
   . The hsCRP values are inversely correlated with the HDLc values. No association was found between IL 8 and the various lipid parameters. Patients having high IL6 values had higher levels of CT and CT/HDLc ratio. This correlation is statistically significant. Regarding TNF
   α
   , there is a positive and significant correlation with CT and LDLc. Conclusion: Significant correlation was found between inflammatory markers and lipids profile. This may explain the role of inflammation in the development of cardiovascular disease. 
  
 
</p></abstract><kwd-group><kwd>Inflammation</kwd><kwd> Lipids</kwd><kwd> Acute Coronary Syndrome</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Background</title><p>Cardiovascular disease (CVD), mainly acute coronary syndromes, nowadays is a real public health problem worldwide.</p><p>Atherosclerosis is the major cause of most diseases of the circulatory system, particularly acute coronary syndromes (ACS). It is a multi-factorial disease whose genesis involves genetic and environmental determinants leading to aggression of the arterial wall [<xref ref-type="bibr" rid="scirp.69291-ref1">1</xref>] .</p><p>The risk for ACS is even faster than it has over associated aggravating factors there. These risk factors are numerous and are classified as non-modifiable risk factors (age, Saxony, heredity) and modifiable risk factors (diabetes, dyslipidemia, smoking, hypertension, obesity, alcohol ...) [<xref ref-type="bibr" rid="scirp.69291-ref2">2</xref>] .</p><p>Apart from these traditional factors, other factors for assessing the cardiovascular disease risk have been suggested over the past thirty years as hyperhomocysteinemia, lipoprotein (a), chronic inflammation ... Indeed, the even moderate elevations of inflammatory markers such as C-reactive protein (CRP), interleukin 6 (IL6) and tumor necrosis factor (TNF) are increasingly considered as risk markers of CVD.</p><p>Most epidemiological studies have highlighted the existence of a relationship between these markers and the increased incidence of coronary disease [<xref ref-type="bibr" rid="scirp.69291-ref3">3</xref>] .</p><p>However, other authors found no association between new inflammatory markers and severity of coronary disease [<xref ref-type="bibr" rid="scirp.69291-ref4">4</xref>] .</p><p>We propose in this study to evaluate the relationship between inflammatory biomarkers and lipid parameters in a Tunisian coronary artery disease group.</p></sec><sec id="s2"><title>2. Material and Methods</title><sec id="s2_1"><title>2.1. Material</title><p>This work was performed at the Tunis military hospital. In this prospective study we have recruited 284 individuals divided into two groups:</p><p>Patient population: in the study we have includes 122 subjects with ACS confirmed by coronary angiography, selected among patients admitted to the cardiology department.</p><p>Control population: 162 subjects free of any cardiovascular disease were recruited from medical and paramedical volunteers.</p><p>The study objectives and procedure were explained to all participants, before obtaining their consent to enroll into the study.</p></sec><sec id="s2_2"><title>2.2. Methods</title><p>Data collection included the epidemiological, clinical and biological parameters.</p><p>Blood samples were taken in the fasting state for at least 12 hours.</p><p>Total cholesterol (TC), triglycerides (TG) and HDL cholesterol (HDL) were assayed using an enzymatic colorimetric method on the DxC800 Synchron&#174; analyzer (Beckman Coulter, USA).</p><p>LDL-cholesterol (LDL cholesterol) was calculated by the Friedwald formula for TG values ≤ 4.5 mmol/l. [LDLc (mmol/L) = CT (HDL + TG/2.18].</p><p>The ApoAI, ApoB and Lp (a) were measured using a nephelometric method on immunon&#233;phl&#233;m&#233;trique BNII&#174; analyzer (Siemens, Germany).</p><p>High sensitivity CRP (hsCRP) was measured by nephelometricanalyzer BNII&#174; (Siemens, Germany).</p><p>Interleukins (IL6, IL8) and tumor-necrosis factor alpha (TNFa) were assayed by immunometric method with chemiluminescence detection on the Immulite&#174; 1000 (Siemens, Germany).</p></sec><sec id="s2_3"><title>2.3. Statistical Analysis</title><p>Statistical analysis of various data collected was performed using SPSS Version 20.0 software (SPSS Inc, USA) for Windows (Microsoft Corporation, USA). The results are presented in absolute and percentage for qualitative variables and means &#177; standard deviations (m &#177; SD) for quantitative variables.</p><p>Comparisons between quantitative variables were performed using Student’s t test. The significance level was set at P = 0.05.</p><p>The Spearman test was used to study the correlation between different parameters.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Descriptive Study</title><p>Anthropometric and clinical characteristics of the study population are shown in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec><sec id="s3_2"><title>3.2. Lipid Parameters</title><p>We studied the different lipid parameters in both groups. The results are shown in <xref ref-type="table" rid="table2">Table 2</xref>.</p></sec><sec id="s3_3"><title>3.3. hsCRP and Proinflammatory Cytokines</title><p>Comparing the hsCRP and proinflammatory cytokines between the two groups is shown in <xref ref-type="table" rid="table3">Table 3</xref>.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of anthropometric and clinical parameters in both groups</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >Controls (n = 162)</th><th align="center" valign="middle" >ACS (n = 122)</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >Age (m &#177; SD; years)</td><td align="center" valign="middle" >44.75 &#177; 6.67</td><td align="center" valign="middle" >63.86 &#177; 10.06</td><td align="center" valign="middle" >&lt;10<sup>−</sup><sup>3 </sup></td></tr><tr><td align="center" valign="middle" >Sex ratio (M/W)</td><td align="center" valign="middle" >1.45</td><td align="center" valign="middle" >1.71</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >Tobacco (%)</td><td align="center" valign="middle" >30.4</td><td align="center" valign="middle" >58.2</td><td align="center" valign="middle" >&lt;10<sup>−</sup><sup>3</sup></td></tr><tr><td align="center" valign="middle" >Alcohol (%)</td><td align="center" valign="middle" >1.2</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >BMI (m &#177; SD; kg/m<sup>2</sup>)</td><td align="center" valign="middle" >26.28 &#177; 3.54</td><td align="center" valign="middle" >26.61 &#177; 3.84</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >Dyslipidemia (%)</td><td align="center" valign="middle" >5.4</td><td align="center" valign="middle" >55.7</td><td align="center" valign="middle" >&lt;10<sup>−</sup><sup>3</sup></td></tr><tr><td align="center" valign="middle" >Diabetes (%)</td><td align="center" valign="middle" >9.2</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >&lt;10<sup>−</sup><sup>3</sup></td></tr><tr><td align="center" valign="middle" >Hypertension (%)</td><td align="center" valign="middle" >7.4</td><td align="center" valign="middle" >63.1</td><td align="center" valign="middle" >&lt;10<sup>−</sup><sup>3</sup></td></tr></tbody></table></table-wrap><p>M: man; W: women; ACS: Acute Coronary syndrome; NS: not significant (&gt;0.05); n: number.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Comparison of the lipid profile between the two groups</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >Controls (n = 162)</th><th align="center" valign="middle" >ACS (n = 122)</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >CT (mmol/L)</td><td align="center" valign="middle" >4.69 &#177; 1.16</td><td align="center" valign="middle" >4.58 &#177; 1.30</td><td align="center" valign="middle" >0.44</td></tr><tr><td align="center" valign="middle" >HDLc (mmol/L)</td><td align="center" valign="middle" >1.13 &#177; 0.34</td><td align="center" valign="middle" >0.94 &#177; 0.32</td><td align="center" valign="middle" >&lt;10<sup>−</sup><sup>3</sup></td></tr><tr><td align="center" valign="middle" >CT/HDLc ratio</td><td align="center" valign="middle" >4.43 &#177; 1.42</td><td align="center" valign="middle" >4.92 &#177; 1.71</td><td align="center" valign="middle" >0.017</td></tr><tr><td align="center" valign="middle" >LDLc (mmol/L)</td><td align="center" valign="middle" >2.97 &#177; 1.03</td><td align="center" valign="middle" >2.96 &#177; 1.18</td><td align="center" valign="middle" >0.931</td></tr><tr><td align="center" valign="middle" >TG (mmol/L)</td><td align="center" valign="middle" >1.24 &#177; 0.85</td><td align="center" valign="middle" >1.45 &#177; 0.80</td><td align="center" valign="middle" >0.04</td></tr><tr><td align="center" valign="middle" >Apo AI (g/L)</td><td align="center" valign="middle" >1.28 &#177; 0.33</td><td align="center" valign="middle" >1.23 &#177; 0.25</td><td align="center" valign="middle" >0.23</td></tr><tr><td align="center" valign="middle" >Apo B (g/L)</td><td align="center" valign="middle" >0.91 &#177; 0.36</td><td align="center" valign="middle" >0.99 &#177; 0.31</td><td align="center" valign="middle" >0.063</td></tr><tr><td align="center" valign="middle" >Apo (B/AI) ratio</td><td align="center" valign="middle" >0.72 &#177; 0.31</td><td align="center" valign="middle" >0.82 &#177; 0.26</td><td align="center" valign="middle" >0.008</td></tr><tr><td align="center" valign="middle" >Lp(a) (g/L)</td><td align="center" valign="middle" >0.13 &#177; 0.14</td><td align="center" valign="middle" >0.36 &#177; 0.25</td><td align="center" valign="middle" >&lt;10<sup>−</sup><sup>3</sup></td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Of hsCRP and proinflammatory cytokines mean values in the study population</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >Controls (n = 162)</th><th align="center" valign="middle" >ACS (n = 122)</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >hsCRP (mg/L)</td><td align="center" valign="middle" >1.63 &#177; 1.75</td><td align="center" valign="middle" >14.65 &#177; 9.81</td><td align="center" valign="middle" >&lt;10<sup>−</sup><sup>3</sup></td></tr><tr><td align="center" valign="middle" >IL8 (pg/mL)</td><td align="center" valign="middle" >5.85 &#177; 1.41</td><td align="center" valign="middle" >5.34 &#177; 0.76</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >IL6 (pg/mL)</td><td align="center" valign="middle" >2.5 &#177; 0.84</td><td align="center" valign="middle" >11.56 &#177; 8.23</td><td align="center" valign="middle" >&lt;10<sup>−</sup><sup>3 </sup></td></tr><tr><td align="center" valign="middle" >TNF (pg/mL)</td><td align="center" valign="middle" >6.2 &#177; 1.61</td><td align="center" valign="middle" >11.18 &#177; 6.83</td><td align="center" valign="middle" >&lt;10<sup>−</sup><sup>3</sup></td></tr></tbody></table></table-wrap><p>A highly significant difference (P &lt; 10<sup>−</sup><sup>3</sup>) was noted between the mean of the hsCRP in coronary patients (14.65 &#177; 9.81 mg/L) compared to controls (1.63 &#177; 1.75 mg/L).</p><p>The difference of the IL8 averages between the ACS (5.34 &#177; 0.76 pg/mL) and the control groups (5.85 &#177; 1.41 pg/mL) is not significant.</p><p>We note a significant difference between theIL6 means in the diseased population (11.56 &#177; 8.23 pg/mL) compared to controls (2.5 &#177; 0.84 pg/mL) with a value of P &lt; 10<sup>−</sup><sup>3</sup>.</p><p>Comparing TNFα values shows that there is a significant difference (P &lt; 10<sup>−</sup><sup>3</sup>) between coronary patients (11.18 &#177; 6.83 pg/mL) and witnesses, (6.2 &#177; 1.61 pg/mL).</p></sec><sec id="s3_4"><title>3.4. Correlations between Studied Parameters and Inflammatory Markers in the Coronary Group</title><p>The hsCRP values are inversely correlated with the HDLc values (<xref ref-type="fig" rid="fig1">Figure 1</xref>). No association was found between IL 8 and the various lipid parameters. Patients having high IL6 values had higher levels of CT (<xref ref-type="fig" rid="fig3">Figure 3</xref>) and CT/HDL ratio (<xref ref-type="fig" rid="fig4">Figure 4</xref>), this correlation is statistically significant.</p><p>Regarding TNFα, there is a positive and significant correlation with CT (<xref ref-type="fig" rid="fig5">Figure 5</xref>) and LDLc (<xref ref-type="fig" rid="fig6">Figure 6</xref>). The results of Spearman correlation test are shown below.</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Correlation between la hsCRP and HDLc</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/69291x6.png"/></fig><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Correlation between hsCRP and CT/HDLc ratio</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/69291x7.png"/></fig><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Correlation between IL6 and totalcholesterol</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/69291x8.png"/></fig><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> Correlation betweenIL6 and CT/HDLc ratio</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/69291x9.png"/></fig><fig id="fig5"  position="float"><label><xref ref-type="fig" rid="fig5">Figure 5</xref></label><caption><title> Correlation between TNF and total cholesterol</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/69291x10.png"/></fig><fig id="fig6"  position="float"><label><xref ref-type="fig" rid="fig6">Figure 6</xref></label><caption><title> Correlation between TNFα and LDLc</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/69291x11.png"/></fig></sec></sec><sec id="s4"><title>4. Discussion</title><p>ACS are multi-factorial diseases. They are the result of the synergistic combination of several risk factors. The role of inflammation has been widely debated.</p><p>The analysis of our study shows an IL6 average significantly higher in coronary patients compared with controls.</p><p>Several studies [<xref ref-type="bibr" rid="scirp.69291-ref5">5</xref>] - [<xref ref-type="bibr" rid="scirp.69291-ref7">7</xref>] have shown that IL6 and other pro-inflammatory cytokines were significantly increased in patients with acute coronary syndrome.</p><p>Other studies [<xref ref-type="bibr" rid="scirp.69291-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.69291-ref9">9</xref>] reported that the IL6 is a poor prognostic factor and can identify high cardiovascular risk patients.</p><p>The IL-6 is a cytokine secreted by many cell types and in particular by the macrophages and smooth muscle cells of the atherosclerotic lesion [<xref ref-type="bibr" rid="scirp.69291-ref10">10</xref>] . Indeed, IL-6 stimulates the expression of endothelial adhesion proteins associated with chemokines to promote inflammatory cells adhesion and platelet aggregation resulting in the theatheromatous plaque formation. On the other hand, IL-6 can activate complement, which affects thenitric oxide production and endothelin-1, resulting in endothelial dysfunction. IL-6 promotes the expression of Plasminogen Activator Inhibitor 1 (PAI-1) contributing to coagulation disorders and thrombus formation [<xref ref-type="bibr" rid="scirp.69291-ref11">11</xref>] .</p><p>In our series, the average of TNFα was significantly higher in coronary patients compared with controls.</p><p>It has been shown that theTNF plasma level correlates with the load of atherosclerosis assessed by carotid ultrasound [<xref ref-type="bibr" rid="scirp.69291-ref12">12</xref>] . A Saraux et al. [<xref ref-type="bibr" rid="scirp.69291-ref13">13</xref>] reported that treatment with anti-TNF reduces inflammation and subsequently decreases cardiovascular risk.</p><p>TNFa is a pro-inflammatory cytokine secreted by monocytes macrophages, lymphocytes and mast cells and macrophages involved in the atherosclerotic plaque. He is involved in the production of chemokines, IL6 and CRP and leukocyte recruitment during the inflammatory response [<xref ref-type="bibr" rid="scirp.69291-ref14">14</xref>] .</p><p>The analysis of our results showed a significant difference hsCRP rate in coronary patients compared with controls.</p><p>Several studies have shown that hsCRP is not only a marker of inflammation but also is a direct cause of cardiovascular disease [<xref ref-type="bibr" rid="scirp.69291-ref15">15</xref>] - [<xref ref-type="bibr" rid="scirp.69291-ref17">17</xref>] .</p><p>CRP is characterized by its pro-atherogenic effects. Indeed, CRP acts on vascular endothelial cells by activating adhesion and promoting the LDLc aggregation. These actions, coupled with pro-inflammatory properties, cause a deleterious effect on the vascular wall and are directly involved in atherogenesis [<xref ref-type="bibr" rid="scirp.69291-ref18">18</xref>] .</p><p>It has been experimentally demonstrated that CRP specifically binds to the oxidized LDLc and particularly LDLc present within atherosclerotic plaques [<xref ref-type="bibr" rid="scirp.69291-ref19">19</xref>] . Furthermore, the addition of CRP to LDLc in cell culture systems showed a stimulation of the foam cells production, which is a typical feature of atherosclerotic plaques [<xref ref-type="bibr" rid="scirp.69291-ref20">20</xref>] . CRP decreased actively the eNOS expression and activity (endothelial nitric oxide synthase) in epithelial cells [<xref ref-type="bibr" rid="scirp.69291-ref21">21</xref>] and encouraged endothelial cells to produce greater concentrations of Plasminogen Activator Inhibitor-1 [<xref ref-type="bibr" rid="scirp.69291-ref22">22</xref>] .</p><p>The analysis of our results showed a negative linear correlation between CRPus and HDLc (r = −0.250 and P &lt; 0.05).</p><p>Our results are consistent with other studies that have reported a negative correlation between the plasma concentration of HDLc and that of hsCRP in patients with low HDLc levels, but not in those with normal or elevated HDLc levels [<xref ref-type="bibr" rid="scirp.69291-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.69291-ref24">24</xref>] .</p><p>Mascarenhas F-Melo and al [<xref ref-type="bibr" rid="scirp.69291-ref25">25</xref>] have also shown that low HDLc is strongly associated with a high concentration of hsCRP.</p><p>These results are similar to those obtained by Wadham C et al. [<xref ref-type="bibr" rid="scirp.69291-ref26">26</xref>] who reported that HDL inhibitshs CRP and reduces the expression of inflammatory cell adhesion proteins.</p><p>Similarly, other studies [<xref ref-type="bibr" rid="scirp.69291-ref27">27</xref>] have also indicated that HDL inhibits cytokines induce expression of inflammatory adhesion molecules in endothelial cells. These results demonstrate potent anti-inflammatory capacity of HDL, which could explain the protective effect of HDL against atherogenesis.</p><p>The hsCRP is associated with a disorder of lipid profile such as an increase in total cholesterol, triglycerides and LDL cholesterol and lower HDL. But the mechanism is not entirely clear. Further studies are needed to assess the relationship between hsCRP and lipid profile [<xref ref-type="bibr" rid="scirp.69291-ref28">28</xref>] .</p><p>In our study, we found a positive linear correlation betweenTNFα plasma levels with total cholesterol (r = 0.327 and P &lt; 10<sup>−</sup><sup>3</sup>) and LDLc (r = 0.205 and P &lt; 0.05).</p><p>Demimbras B et al. [<xref ref-type="bibr" rid="scirp.69291-ref29">29</xref>] have found that the TNFα correlates positively with triglycerides and negatively with HDLc in patients with myocardial infarction.</p><p>Jovinge S et al. [<xref ref-type="bibr" rid="scirp.69291-ref30">30</xref>] found that TNFa is positively associated with total cholesterol, LDL cholesterol and TG while it is negatively associated with HDLc in hyperlipidemic patients.</p><p>TNFa interferes with lipid homeostasis and activates the pro-atherogenic pathological processes [<xref ref-type="bibr" rid="scirp.69291-ref31">31</xref>] .</p><p>TNFa may directly alter lipid metabolism by inhibiting the free fatty acids absorption and lipogenesis and stimulation of their release via lipolysis. This contributes to dyslipidemia [<xref ref-type="bibr" rid="scirp.69291-ref32">32</xref>] .</p><p>Our results shows a positive linear correlation between IL6, total cholesterol (P &lt; 10<sup>−</sup><sup>3</sup>) and TC/HDLc ratio (P &lt; 0.05).</p><p>Vijaya BM et al. [<xref ref-type="bibr" rid="scirp.69291-ref33">33</xref>] found a positive correlation between IL-6 and total cholesterol, triglycerides, LDL cholesterol and a negative correlation with HDLc in patients with hypertension. These researchers considered as dyslipidemia contributes to increased IL6 rates.</p><p>Several authors have suggested that IL6 with other pro-inflammatory cytokines can influence HDLc levels of by modifying the triglycerides lipase activity [<xref ref-type="bibr" rid="scirp.69291-ref34">34</xref>] .</p><p>In addition, it has been shown that proinflammatory cytokines inhibit LPL activity and enhance the lipolytic activity of endothelial lipase. These two actions are associated with low levels of HDLc during the acute or chronic inflammatory state [<xref ref-type="bibr" rid="scirp.69291-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.69291-ref36">36</xref>] .</p></sec><sec id="s5"><title>5. Conclusions</title><p>In this study, a significant correlation was found between inflammatory markers and lipid profiles. This may explain the role of inflammation in the development of cardiovascular disease.</p><p>Inflammatory markers values can be related to an increase of the extent of coronary artery disease and therefore the degree of severity of the disease.</p><p>These markers may also have a potential role in predicting the severity of coronary artery disease. We propose their use in clinical practice not only as predictive biomarkers of cardiovascular events but also for the screening and management of high-risk patients.</p></sec><sec id="s6"><title>Cite this paper</title><p>Rihab Sendesni,Dhaker Lahidheb,Manel Ayoub,Nedra Grira,Dhekra Lafi,Nejla Stambouli,Mabrouka El Oudi,Ezzedine Ghazouani,Habib Haouala,Zied Aouni,Chakib Mazigh, (2016) Correlation between Inflammatory Markers and Lipid Parameters in a Tunisian Coronary Artery Disease Group. Open Access Library Journal,03,1-9. doi: 10.4236/oalib.1102635</p></sec></body><back><ref-list><title>References</title><ref id="scirp.69291-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Jin, W., Sun, G.S., Marchadier, D., Octtaviani, E., Glick, J.M. and Rader, D.J. (2003) Endothelial Cells Secrete Triglycerides Lipase and Phospolipase Activities in Response to Cytokines as a Result of Endothelial Lipase. Circulation Research, 92, 644-650. http://dx.doi.org/10.1161/01.RES.0000064502.47539.6D</mixed-citation></ref><ref id="scirp.69291-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Jin, W., Millar, J.S., Broedl, U., Glick, J.M. and Rader, D.J. (2003) Inhibition of Endothelial Lipase Causes Increased HDL Cholesterol Levels in Vivo. Journal of Clinical Investigation, 111, 357-362. http://dx.doi.org/10.1172/JCI16146</mixed-citation></ref><ref id="scirp.69291-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Zuliani, G., Volpato, S., Blè, A., Bandinelli, S., Corsi, A.M., Lauretani, F., et al. (2007) High Interleukin-6 Plasma Levels Are Associated with Low HDL-C Levels in Community-Dwelling Older Adults: The InChianti Study. Atherosclerosis, 192, 384-390. http://dx.doi.org/10.1016/j.atherosclerosis.2006.05.024</mixed-citation></ref><ref id="scirp.69291-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Vijaya, B.M., Prabhakara, R.P. and Balu, M.K. (2015) Correlative Association of Interleukin-6 with Malondialdehyde in Prehypertensive and Hypertensive Subjects. IOSR-JDMS, 14, 53-57.</mixed-citation></ref><ref id="scirp.69291-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Popa, C., Netea, M.G., van Riel, P.L., Van Der Meer, J.W. and Stalenhoef, A.F. (2007) The Role of TNF-α in Chronic Inflammatory Conditions, Intermediary Metabolism, and Cardiovascular Risk. The Journal of Lipid Research, 48, 751-762. http://dx.doi.org/10.1194/jlr.R600021-JLR200</mixed-citation></ref><ref id="scirp.69291-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Chen, X., Xun, K., Chen, L. and Wang, Y. (2009) TNF-α, a Potent Lipid Metabolism Regulator. Cell Biochemistry and Function, 27, 407-416. http://dx.doi.org/10.1002/cbf.1596</mixed-citation></ref><ref id="scirp.69291-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Jovinge, S., Hamsten, A., Torvall, P., Proudler, A., Bavenholm, P., Ericsson, C.G., et al. (1998) Evidence for a Role of Tumor Necrosis Factor Alpha in Disturbances of Triglyceride and Glucose Metabolism Predisposing to Coronary Heart Disease. Metabolism, 47, 113-118. http://dx.doi.org/10.1016/S0026-0495(98)90203-7</mixed-citation></ref><ref id="scirp.69291-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Demimbras, B., Guler, S., Cakir, B., Chulha, C. and Aral, Y. (2002) Plasma TNF-α Levels and Insulin Resistance in Non Diabetic Hypertensive Subjects. Hormone Research in Paediatrics, 58, 283-286. http://dx.doi.org/10.1159/000066447</mixed-citation></ref><ref id="scirp.69291-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Wu, D.M., Chu, N.F., Shen, M.H. and Chang, J.B. (2003) Plasma C-Reactive Protein Levels and Their Relationship to Anthropometric and Lipid Characteristics among Children. Journal of Clinical Epidemiology, 56, 94-100. http://dx.doi.org/10.1016/S0895-4356(02)00519-X</mixed-citation></ref><ref id="scirp.69291-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Mineo, C., Deguchi, H., Griffin, J.H. and Shaul, P. (2006) Endothelial and Antithrombotic Actions of HDL. Circulation Research, 98, 1352-1364. http://dx.doi.org/10.1161/01.RES.0000225982.01988.93</mixed-citation></ref><ref id="scirp.69291-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Wadham, C., Albanese, N., Roberts, J., Wang, L., Bagley, C.J., Gamble, J.R., et al. (2004) High-Density Lipoproteins Neutralize C-Reactive Protein Proinflammatory Activity. Circulation, 109, 2116-2122. http://dx.doi.org/10.1161/01.CIR.0000127419.45975.26</mixed-citation></ref><ref id="scirp.69291-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Mascarenhas-Melo, F., Sereno, J., Teixeira-Lemos, E., Marado, D., Palavra, F., Pinto, R., et al. (2013) Implication of Low HDL-c Levels in Patients with Average LDL-c Levels: A Focus on Oxidized LDL, Large HDL Subpopulation, and Adiponectin. Mediators of Inflammation, 2013, Article ID: 612038. http://dx.doi.org/10.1155/2013/612038</mixed-citation></ref><ref id="scirp.69291-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Calabresi, L., Gomaraschi, M., Villa, B., Omoboni, L., Dmitrieff, C. and Franceschini, G. (2002) Elevated Soluble Cellular Adhesion Molecules in Subjects with Low HDL-Cholesterol. Arteriosclerosis, Thrombosis, and Vascular Biology, 22, 656-661. http://dx.doi.org/10.1161/hq0402.105901</mixed-citation></ref><ref id="scirp.69291-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Tehrani, D.M., Gardin, J.M., Yanez, D., Hirsch, C.H., Lloyd-Jones, D.M., Stein, P.K., et al. (2013) Impact of Inflammatory Biomarkers on Relation of High Density Lipoprotein-Cholesterol with Incident Coronary Heart Disease: Cardiovascular Health Study. Atherosclerosis, 231, 246-251. http://dx.doi.org/10.1016/j.atherosclerosis.2013.08.036</mixed-citation></ref><ref id="scirp.69291-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Devaraj, S., Xu, D.Y. and Jialal, I. (2003) C-Reactive Protein Increases Plasminogen Activator Inhibitor-1 Expression and Activity in Human Aortic Endothelial Cells: Implications for the Metabolic Syndrome and Atherothrombosis. Circulation, 107, 398-404. http://dx.doi.org/10.1161/01.CIR.0000052617.91920.FD</mixed-citation></ref><ref id="scirp.69291-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Venugopal, S.K., Devaraj, S., Yuhanna, I., Shaul, P. and Jialal, I. (2002) Demonstration That C-Reactive Protein Decreases eNOS Expression and Bioactivity in Human Aortic Endothelial Cells. Circulation, 106, 1439-1441. http://dx.doi.org/10.1161/01.CIR.0000033116.22237.F9</mixed-citation></ref><ref id="scirp.69291-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Zwaka, T.P., Hombach, V. and Torzewski, J. (2001) C-Reactive Protein-Mediated Low Density Lipoprotein Uptake by Macrophages: Implications for Atherosclerosis. Circulation, 103, 1194-1197. http://dx.doi.org/10.1161/01.CIR.103.9.1194</mixed-citation></ref><ref id="scirp.69291-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Chang, M.K., Binder, C.J., Torzewski, M. and Witztum, J.L. (2002) C-Reactive Protein Binds to Both Oxidized LDL and Apoptotic Cells through Recognition of a Common Ligand: Phosphorylcholine of Oxidized Phospholipids. Proceedings of the National Academy of Sciences of the United States of America, 99, 13043-13048. http://dx.doi.org/10.1073/pnas.192399699</mixed-citation></ref><ref id="scirp.69291-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Vranken, G. (2004) CRP: Nouveau marqueur pour le pronostic des maladies cardiovasculaires [En ligne]. http://www.researchgate.net/publication/256387205_CRP__Nouveau_marqueur_pour_le_pronostic_des_maladies_cardiovasculaires</mixed-citation></ref><ref id="scirp.69291-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Li, J.J. and Fang, C.H. (2004) C-Reactive Protein Is Not Only an Inflammatory Marker but Also a Direct Cause of Cardiovascular Disease. Medical Hypotheses, 62, 499-506. http://dx.doi.org/10.1016/j.mehy.2003.12.014</mixed-citation></ref><ref id="scirp.69291-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Onat, A., Can, G. and Hergenc, G. (2008) Serum C-Reactive Protein Is an Independent Risk Factor Predicting Cardio-metabolic Risk. Metabolism, 57, 207-214. http://dx.doi.org/10.1016/j.metabol.2007.09.002</mixed-citation></ref><ref id="scirp.69291-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Ridker, P.M., Hennekens, C.H., Buring, J.E. and Rifai, N. (2000) C-Reactive Protein and Other Markers of Inflammation in the Prediction of Cardiovascular Disease in Women. The New England Journal of Medicine, 342, 836-843. http://dx.doi.org/10.1056/NEJM200003233421202</mixed-citation></ref><ref id="scirp.69291-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Harris, T.B., Ferrucci, L., Tracy, R.P., Corti, M.C., Wacholder, S., Ettinger Jr., W.H., et al. (1999) Associations of Elevated Interleukin-6 and C-Reactive Protein Levels with Mortality in the Elderly. American Journal of Medicine, 106, 506-512. http://dx.doi.org/10.1016/S0002-9343(99)00066-2</mixed-citation></ref><ref id="scirp.69291-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Saraux, A., Gueguen, F., Jousse, S. and Bresollette, L. (2011) Anti-TNF Alpha et Risque Cardiovasculaire? Revue du Rhumatisme, 32, 41-44.</mixed-citation></ref><ref id="scirp.69291-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Skoog, T., Dichtl, W., Boquist, S., Skoglund-Andersson, C., Karpe, F., Tang, R., et al. (2002) Plasma Tumour Necrosis Factor-Alpha and Early Carotid Atherosclerosis in Healthy Middle-Aged Men. European Heart Journal, 23, 376-383.http://dx.doi.org/10.1053/euhj.2001.2805</mixed-citation></ref><ref id="scirp.69291-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Wang, X.H., Liu, S.Q., Wang, Y.L. and Jin, Y. (2014) Correlation of Serum High-Sensitivity C-Reactive Protein and Interleukin-6 in Patients with Acute Coronary Syndrome. Genetics and Molecular Research, 13, 4260-4266. http://dx.doi.org/10.4238/2014.June.9.11</mixed-citation></ref><ref id="scirp.69291-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Luc, G. (2001) Inflammation Markers and Vascular Risk. La Revue de Médecine Interne, 25, S7-S9.http://dx.doi.org/10.1016/j.revmed.2004.04.005</mixed-citation></ref><ref id="scirp.69291-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Armstrong, E.J., Morrow, D.A. and Sabatine, M.S. (2006) Inflammatory Biomarkers in Acute Coronary Syndromes Part I: Introduction and Cytokines. Circulation, 113, 72-75. http://dx.doi.org/10.1161/CIRCULATIONAHA.105.595520</mixed-citation></ref><ref id="scirp.69291-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Fan, Z.X., Hua, Q., Li, Y.P., Liu, R.K. and Yang, Z. (2011) Interleukin-6, But Not Soluble Adhesion Molecules, Predicts a Subsequent Mortality from Cardiovascular Disease in Patients with Acute ST Segment Elevation Myocardial Infarction. Cell Biochemistry and Biophysics, 61, 443-448. http://dx.doi.org/10.1007/s12013-011-9209-1</mixed-citation></ref><ref id="scirp.69291-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Scharnagl, H., Stojakovic, T., Weihrauch, G., Winkelmann, R.B., Boehm, B.O. and Maerz, W. (2010) Interleukin-6 Is Stronger Associated with All-Cause and Cardiovascularmortality than C-Reactive Protein, Serum Amyloid A and Fibrinogen (the Luric Study). Atherosclerosis Supplements, 11, 42. http://dx.doi.org/10.1016/S1567-5688(10)70191-4</mixed-citation></ref><ref id="scirp.69291-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Lai, C.L., Ji, Y.R., Liu, X.H., Xing, J.P. and Zhao, J.Q. (2012) Relationship between Coronary Atherosclerosis Plaque Characteristics and High Sensitivity C-Reactive Proteins, Interleukin-6. Chinese Medical Journal (England), 124, 2452-2456.</mixed-citation></ref><ref id="scirp.69291-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">De Gennaro, L., Brunetti, N.D., Montrone, D., De Rosa, F., Cuculo, A. and Di Biase, M. (2012) Subacute Inflammatory Activation in Subjects with Acute Coronary Syndrome and Left Ventricular Dysfunction. Inflammation, 35, 363-370. http://dx.doi.org/10.1007/s10753-011-9326-4</mixed-citation></ref><ref id="scirp.69291-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Sukhija, R., Fahdi, I., Garza, L., Fink, L., Scott, M., Aude, W., et al. (2007) Inflammatory Markers, Angiographic Severity of Coronary Artery Disease, and Patient Outcome. American Journal of Cardiology, 99, 879-884. http://dx.doi.org/10.1016/j.amjcard.2006.11.032</mixed-citation></ref><ref id="scirp.69291-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Madjid, M. and Willerson, J.T. (2011) Inflammatory Markers in Coronary Heart Disease. British Medical Bulletin, 100, 23-38. http://dx.doi.org/10.1093/bmb/ldr043</mixed-citation></ref><ref id="scirp.69291-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Baudin, B., Cohena, A., Garcias, F.B., Meuleman, C., Dufaitre, G., Ederhy, S., et al. (2009) Données épidémiologiques des maladies cardiovasculaires et prise en charge des accidents cardiovasculaires. Revue Fran&amp;#231;aise des Laboratoires, 409, 27-39. http://dx.doi.org/10.1016/s1773-035x(09)70198-4</mixed-citation></ref><ref id="scirp.69291-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Paul, J.L. and Baudin, B. (2009) Physiopathologie de l’athérosclérose et marqueurs précoces. Revue Fran&amp;#231;aise des Laboratoires, 409, 41-50. http://dx.doi.org/10.1016/s1773-035x(09)70199-6</mixed-citation></ref></ref-list></back></article>