<?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">
    ojbd
   </journal-id>
   <journal-title-group>
    <journal-title>
     Open Journal of Blood Diseases
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2164-3180
   </issn>
   <issn publication-format="print">
    2164-3199
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/ojbd.2025.153006
   </article-id>
   <article-id pub-id-type="publisher-id">
    ojbd-143803
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Medicine 
     </subject>
     <subject>
       Healthcare
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    The Differential Role of Cyclooxygenases and Inflammatory Biomarkers in the Pain of Sickle Cell Vaso-Occlusive Crises in Brazzaville
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Tsiba Ngokana
      </surname>
      <given-names>
       Berge
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Miguel Landry
      </surname>
      <given-names>
       Martial
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Ocko Gokaba Lethso
      </surname>
      <given-names>
       Thibault
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Samoukamat Loïc
      </surname>
      <given-names>
       Danny
      </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>
       Njilo Tchatchouang Dier
      </surname>
      <given-names>
       Gersil
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff5"> 
      <sup>5</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Angounda Monic
      </surname>
      <given-names>
       Brunel
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff6"> 
      <sup>6</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Loubano-Voumbi
      </surname>
      <given-names>
       Ghislain
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref> 
     <xref ref-type="aff" rid="aff7"> 
      <sup>7</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Moukassa
      </surname>
      <given-names>
       Donatien
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Abena Ange
      </surname>
      <given-names>
       Antoine
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref> 
     <xref ref-type="aff" rid="aff5"> 
      <sup>5</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aFaculté des Sciences de la Santé, Université Marien Ngouabi, Brazzaville, Congo
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aTRIOS Laboratoire d’Analyse Médicales, Brazzaville, Congo
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aLaboratoire de Formation Recherche et d’Analyses Biomédicales, Faculté des Sciences de la Santé, Université Marien Ngouabi, Brazzaville, Congo
    </addr-line> 
   </aff> 
   <aff id="aff4">
    <addr-line>
     aCentre National de Référence de la Drépanocytose, Brazzaville, Congo
    </addr-line> 
   </aff> 
   <aff id="aff5">
    <addr-line>
     aDépartement des Licences, Faculté des Sciences Appliquées, Université Dénis Sassou-Nguesso, Brazzaville, Congo
    </addr-line> 
   </aff> 
   <aff id="aff6">
    <addr-line>
     aCentre National de Transfusion Sanguine, Brazzaville, Congo
    </addr-line> 
   </aff> 
   <aff id="aff7">
    <addr-line>
     aLaboratoire d’Analyses Médicales de l’Hôpital Général de Dolisie, Dolisie, Congo
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     01
    </day> 
    <month>
     08
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    15
   </volume> 
   <issue>
    03
   </issue>
   <fpage>
    61
   </fpage>
   <lpage>
    74
   </lpage>
   <history>
    <date date-type="received">
     <day>
      15,
     </day>
     <month>
      April
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      28,
     </day>
     <month>
      April
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      28,
     </day>
     <month>
      June
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © 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>
    <b>Introduction:</b> Sickle cell disease is a recessive hereditary disorder manifested by vaso-occlusive crises (VOCs), associated with intense pain and inflammation. Although biomarkers such as IL-6, CRP, COX-1/2 and VCAM-1 are involved in these processes. Their relationship with pain intensity remains poorly elucidated. This study aims to assess this correlation in homozygous sickle cell patients in Brazzaville. 
    <b>Methodology:</b> A prospective observational study was carried out on 85 patients (2 - 62 years). Biomarkers (CRP, IL-6, COX-1/2, VCAM-1) were measured by turbidimetry and ELISA. Pain intensity was assessed using a validated scale, and data were statistically analyzed. 
    <b>Results:</b> 45.88% of patients were in CVO, while intense pain was reported in 84.62% of patients in crisis. CRP, COX-2 and VCAM-1 showed significantly higher concentrations during CVO (p &lt; 0.05, for CRP; p &lt; 0.0001, for COX-2 p = 0.0035 and p = 0.0165 for VCAM-1), in contrast to IL-6 and COX-1, which showed no statistically significant difference (p = 0.06 for IL-6 and p = 0.02 for COX-1). A significant positive correlation was observed between COX-2 and pain intensity (r = 0.65; p &lt; 0.0001), while the other biomarkers showed no significant relationship. 
    <b>Conclusion:</b> These results suggest that COX-2 may be considered a promising biomarker for assessing inflammatory pain during CVO and its potential usefulness in therapeutic pain monitoring in sickle cell crisis patients, although further studies are needed to confirm its clinical role.
   </abstract>
   <kwd-group> 
    <kwd>
     Sickle Cell Disease
    </kwd> 
    <kwd>
      Vaso-Occlusive Crisis
    </kwd> 
    <kwd>
      Inflammation
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Sickle cell disease (SCD) is a genetic disorder which has spread beyond its geographical origins (mainly sub-Saharan Africa and India), in France and throughout the world, and has become a major public health problem with around 5 million people affected, It is an autosomal recessive hereditary disease linked to a mutation in the HBB gene, resulting in the production of abnormal hemoglobin (HbS) responsible for painful vaso-occlusive crises (CVO) and chronic hemolysis <xref ref-type="bibr" rid="scirp.143803-1">
     [1]
    </xref>-<xref ref-type="bibr" rid="scirp.143803-3">
     [3]
    </xref>. In Brazzaville, where the prevalence of sickle cell trait exceeds 25% and homozygous forms (SS) 2% <xref ref-type="bibr" rid="scirp.143803-4">
     [4]
    </xref>, patient management relies essentially on symptomatic measures: analgesics (paracetamol, morphine), hydration and emergency transfusions <xref ref-type="bibr" rid="scirp.143803-5">
     [5]
    </xref>. However, these approaches remain limited by the absence of predictive markers for seizures, subjective pain assessment and insufficient resources for personalized follow-up <xref ref-type="bibr" rid="scirp.143803-6">
     [6]
    </xref>.</p>
   <p>CVOs, the most frequent and disabling manifestations, generate acute pain whose intensity does not systematically correlate with conventional biological parameters (hemoglobin, reticulocytes) <xref ref-type="bibr" rid="scirp.143803-4">
     [4]
    </xref> <xref ref-type="bibr" rid="scirp.143803-7">
     [7]
    </xref>. This discordance complicates therapeutic stratification, leading either to under-treatment (increasing the risk of complications), or to excessive use of opioids, with their adverse effects <xref ref-type="bibr" rid="scirp.143803-7">
     [7]
    </xref>. Furthermore, chronic pain significantly alters patients’ quality of life, increasing hospitalizations, medical costs and interruptions to school or work <xref ref-type="bibr" rid="scirp.143803-7">
     [7]
    </xref> <xref ref-type="bibr" rid="scirp.143803-8">
     [8]
    </xref>.</p>
   <p>Faced with these challenges, the identification of objective biomarkers of inflammation and endothelial dysfunction could improve management. Several mediators have been implicated in the pathophysiology of sickle cell pain, including interleukin-6 (IL-6) and C-reactive protein (CRP), whose levels rise during CVO, reflecting macrophagic activation and systemic inflammation <xref ref-type="bibr" rid="scirp.143803-9">
     [9]
    </xref> <xref ref-type="bibr" rid="scirp.143803-10">
     [10]
    </xref>. A Nigerian study has shown that IL-6 correlates with the frequency of hospital admissions for pain <xref ref-type="bibr" rid="scirp.143803-11">
     [11]
    </xref>. In addition, cyclooxygenases (COX-1/COX-2), key enzymes in prostaglandin synthesis, amplify both inflammation and nociception <xref ref-type="bibr" rid="scirp.143803-12">
     [12]
    </xref>. COX-2 inhibitors are being tested to reduce sickle cell pain <xref ref-type="bibr" rid="scirp.143803-13">
     [13]
    </xref>. Finally, VCAM-1, a vascular adhesion molecule, is a marker of endothelial damage and adhesion phenomena in sickle cell red blood cells <xref ref-type="bibr" rid="scirp.143803-14">
     [14]
    </xref>. Its overexpression has been associated with CVO severity in US cohorts <xref ref-type="bibr" rid="scirp.143803-15">
     [15]
    </xref>.</p>
   <p>However, no study in Brazzaville has simultaneously assessed these biomarkers in relation to pain intensity, even though local factors (high prevalence of malaria, nutritional deficiency, genetic diversity) could modify their expression. This study therefore aims to establish correlations between pain scores (visual analog scales) and levels of IL-6, CRP, COX-1, COX-2 and VCAM-1 in SS patients in crisis. It also aims to propose prognostic tools adapted to the Congolese context for more targeted management.</p>
   <p>By filling this local data gap, this work could guide the rational use of anti-inflammatory drugs or endothelial-protective therapies, thereby reducing CVO-related morbidity.</p>
  </sec><sec id="s2">
   <title>2. Methodology</title>
   <p>- Study setting and design</p>
   <p>This prospective observational study was conducted over a 12-month period from January to December 2024 at the Centre National de Référence de la Drépanocytose (CNRDr) in Brazzaville for patient recruitment, and at the TRIOS Laboratory, the research laboratory of the Faculty of Health Sciences (FSSA) and the Centre National de Transfusion Sanguine (CNTS) for biological analyses.</p>
   <p>- Study population</p>
   <p>- Participant selection</p>
   <p>An exhaustive and consecutive recruitment was carried out among 85 patients with homozygous sickle cell disease (SS genotype), aged 2 to 62 years, in a hospital setting in Brazzaville.</p>
   <p>- Inclusion criteria</p>
   <p>CVO patients were recruited on admission, before any administration of analgesics, as confirmed by their medical records and a standardized interview. Patients included in this study presented with a vaso-occlusive crisis (VOC), with emergency or day hospitalization, prior to any administration of analgesics, a stable intercritical state, no history of blood transfusion in the previous 3 months or hospitalization in the previous 72 hours and a signed agreement of informed consent, by participants over the age of majority or by parents/legal guardians for minors, in accordance with the ethical principles of the Declaration of Helsinki (WMA, 2013) <xref ref-type="bibr" rid="scirp.143803-16">
     [16]
    </xref>.</p>
   <p>- Exclusion criteria</p>
   <p>The following criteria led to the exclusion of participants: biological samples that were not usable (hemolyzed, coagulated or insufficient in volume), anti-inflammatory or immunosuppressive treatment within 7 days prior to sampling and a lack of confirmation of the diagnosis of homozygous sickle cell disease by hemoglobin electrophoresis, in line with WHO recommendations.</p>
   <p>- Non-inclusion criteria</p>
   <p>Patients with any of the following characteristics were excluded from the study; non-steroidal anti-inflammatory drugs (NSAIDs) or corticosteroids taken within 7 days prior to sampling, hydroxyurea treatment at an unstable dose, blood transfusion within the previous 3 months, acute infection (or active inflammatory pathology), recent hospitalization (&lt;72 hours) for a cause unrelated to CVO, pregnancy and refusal of participation or consent not obtained (for minors: absence of parental/guardian consent).</p>
   <p>- Data collection</p>
   <p>- Epidemiological approach</p>
   <p>A standardized questionnaire was administered to collect demographic data, medical history and frequency of CVO episodes.</p>
   <p>- Clinical approach</p>
   <p>The diagnosis of CVO was established based on validated clinical criteria (presence of typical acute pain with no alternative etiology identified), with confirmation by a physician from the National Centre de Reference of Sickle Cell (CNRDr) <xref ref-type="bibr" rid="scirp.143803-3">
     [3]
    </xref>.</p>
   <p>Pain intensity was assessed using the adult Visual Analogue Scale (VAS) (0 to 10) <xref ref-type="bibr" rid="scirp.143803-17">
     [17]
    </xref>.</p>
   <p>- Biological approach</p>
   <p>Blood samples were taken in 5 ml EDTA tubes for biomarker assays and dry tubes for C-reactive protein (CRP) determination.</p>
   <p>CRP determination was performed turbidimetrically on a Cobas c501 (Roche Diagnostics), using CRP Latex reagent (ref. 05168787), cytokines and signalling molecules, notably IL-6, were assayed by ELISA using the human interleukin-6 (IL-6) ELISA kit from Pars Biochem, COX-1/2 was assayed using the human serum ELISA kits from Pars Biochem, and VCAM-1 was assayed using the Human VCAM-1/CD106 ELISA kit (Thermo Fisher, ref. BMS232).</p>
   <p>Ethical considerations</p>
   <p>The study was approved by the Research Ethics Committee in Health Sciences of Brazzaville, under number 056-40/MESRSIT/DGRST/CERSSA/-23, in accordance with international standards for research involving human subjects <xref ref-type="bibr" rid="scirp.143803-18">
     [18]
    </xref>.</p>
   <p>- Statistical analysis</p>
   <p>Data was entered in Microsoft Excel 2021 and analyzed using GraphPad Prism version 5. Statistical tests included comparison of means by Student’s t-test for normally distributed data; Mann-Whitney test for non-parametric distributions. Analysis of proportions using the Chi<sup>2</sup> test or Fisher’s exact test for categorical variables, and correlation using Spearman’s coefficient. The significance threshold was set at p &lt; 0.05.</p>
  </sec><sec id="s3">
   <title>3. Results</title>
   <table-wrap id="table1">
    <label>
     <xref ref-type="table" rid="table1">
      Table 1
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.143803-"></xref>Table 1. Distribution of patients by age and sex.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td rowspan="2" class="custom-top-td acenter" width="27.93%"><p style="text-align:center">Age groups (years)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="36.72%" colspan="2"><p style="text-align:center">Sex</p></td> 
      <td rowspan="2" class="custom-top-td acenter" width="17.67%"><p style="text-align:center">Total n (%)</p></td> 
      <td rowspan="2" class="custom-top-td acenter" width="17.68%"><p style="text-align:center">p-value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="18.09%"><p style="text-align:center">Male n (%)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="18.63%"><p style="text-align:center">Female n (%)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="27.93%"><p style="text-align:center">2 - 11</p></td> 
      <td class="custom-top-td acenter" width="18.09%"><p style="text-align:center">8 (57.14)</p></td> 
      <td class="custom-top-td acenter" width="18.63%"><p style="text-align:center">6 (42.86)</p></td> 
      <td class="custom-top-td acenter" width="17.67%"><p style="text-align:center">14 (100)</p></td> 
      <td rowspan="4" class="custom-top-td acenter" width="17.68%"><p style="text-align:center">p = 0.490</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="27.93%"><p style="text-align:center">12 - 17</p></td> 
      <td class="acenter" width="18.09%"><p style="text-align:center">16 (57.14)</p></td> 
      <td class="acenter" width="18.63%"><p style="text-align:center">12 (42.86)</p></td> 
      <td class="acenter" width="17.67%"><p style="text-align:center">28 (100)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="27.93%"><p style="text-align:center">18+</p></td> 
      <td class="acenter" width="18.09%"><p style="text-align:center">19 (44.19)</p></td> 
      <td class="acenter" width="18.63%"><p style="text-align:center">24 (55.81)</p></td> 
      <td class="acenter" width="17.67%"><p style="text-align:center">43 (100)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="27.93%"><p style="text-align:center">Total</p></td> 
      <td class="custom-bottom-td acenter" width="18.09%"><p style="text-align:center">43 (50.59)</p></td> 
      <td class="custom-bottom-td acenter" width="18.63%"><p style="text-align:center">42 (49.41)</p></td> 
      <td class="custom-bottom-td acenter" width="17.67%"><p style="text-align:center">85 (100)</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>
    <xref ref-type="bibr" rid="scirp.143803-"></xref></p>
   <table-wrap id="table2">
    <label>
     <xref ref-type="table" rid="table2">
      Table 2
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.143803-"></xref>Table 2. Distribution of CVO occurrence by gender.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td rowspan="2" class="custom-top-td acenter" width="27.10%"><p style="text-align:center">Sex</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="37.16%" colspan="2"><p style="text-align:center">CVO</p></td> 
      <td rowspan="2" class="custom-top-td acenter" width="17.86%"><p style="text-align:center">Total n (%)</p></td> 
      <td rowspan="2" class="custom-top-td acenter" width="17.88%"><p style="text-align:center">p-value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="18.31%"><p style="text-align:center">Yes n (%)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="18.84%"><p style="text-align:center">No n (%)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="27.10%"><p style="text-align:center">Male</p></td> 
      <td class="custom-top-td acenter" width="18.31%"><p style="text-align:center">20 (46.51)</p></td> 
      <td class="custom-top-td acenter" width="18.84%"><p style="text-align:center">23 (53.49)</p></td> 
      <td class="custom-top-td acenter" width="17.86%"><p style="text-align:center">43 (100)</p></td> 
      <td rowspan="3" class="custom-top-td acenter" width="17.88%"><p style="text-align:center">P = 0.906</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="27.10%"><p style="text-align:center">Female</p></td> 
      <td class="acenter" width="18.31%"><p style="text-align:center">19 (45.24)</p></td> 
      <td class="acenter" width="18.84%"><p style="text-align:center">23 (54.76)</p></td> 
      <td class="acenter" width="17.86%"><p style="text-align:center">42 (100)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="27.10%"><p style="text-align:center">Total</p></td> 
      <td class="custom-bottom-td acenter" width="18.31%"><p style="text-align:center">39 (45.88)</p></td> 
      <td class="custom-bottom-td acenter" width="18.84%"><p style="text-align:center">46 (54.12)</p></td> 
      <td class="custom-bottom-td acenter" width="17.86%"><p style="text-align:center">85 (100)</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>
    <xref ref-type="bibr" rid="scirp.143803-"></xref></p>
   <table-wrap id="table3">
    <label>
     <xref ref-type="table" rid="table3">
      Table 3
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.143803-"></xref>Table 3. Distribution of CVO occurrence according to age.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td rowspan="2" class="custom-top-td acenter" width="27.89%"><p style="text-align:center">Age groups (years)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="36.69%" colspan="2"><p style="text-align:center">CVO</p></td> 
      <td rowspan="2" class="custom-top-td acenter" width="17.67%"><p style="text-align:center">Total n (%)</p></td> 
      <td rowspan="2" class="custom-top-td acenter" width="17.76%"><p style="text-align:center">p-value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="18.07%"><p style="text-align:center">Yes n (%)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="18.62%"><p style="text-align:center">No n (%)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="27.89%"><p style="text-align:center">
        <xref ref-type="bibr" rid="scirp.143803-2">
         [2]
        </xref>-<xref ref-type="bibr" rid="scirp.143803-11">
         [11]
        </xref></p></td> 
      <td class="custom-top-td acenter" width="18.07%"><p style="text-align:center">8 (57.14)</p></td> 
      <td class="custom-top-td acenter" width="18.62%"><p style="text-align:center">6 (42.86)</p></td> 
      <td class="custom-top-td acenter" width="17.67%"><p style="text-align:center">14 (100)</p></td> 
      <td rowspan="4" class="custom-top-td acenter" width="17.76%"><p style="text-align:center">P = 0.362</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="27.89%"><p style="text-align:center">
        <xref ref-type="bibr" rid="scirp.143803-12">
         [12]
        </xref>-<xref ref-type="bibr" rid="scirp.143803-17">
         [17]
        </xref></p></td> 
      <td class="acenter" width="18.07%"><p style="text-align:center">10 (35.71)</p></td> 
      <td class="acenter" width="18.62%"><p style="text-align:center">18 (64.29)</p></td> 
      <td class="acenter" width="17.67%"><p style="text-align:center">28 (100)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="27.89%"><p style="text-align:center">[18+]</p></td> 
      <td class="acenter" width="18.07%"><p style="text-align:center">21 (48.84)</p></td> 
      <td class="acenter" width="18.62%"><p style="text-align:center">22 (51.16)</p></td> 
      <td class="acenter" width="17.67%"><p style="text-align:center">43 (100)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="27.89%"><p style="text-align:center">Total</p></td> 
      <td class="custom-bottom-td acenter" width="18.07%"><p style="text-align:center">39 (45.88)</p></td> 
      <td class="custom-bottom-td acenter" width="18.62%"><p style="text-align:center">46 (54.12)</p></td> 
      <td class="custom-bottom-td acenter" width="17.67%"><p style="text-align:center">85 (100)</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <fig id="fig1" position="float">
    <label>Figure 1</label>
    <caption>
     <title>Figure 1. Clinical characteristics of pain during CVOs.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2030340-rId14.jpeg?20250701101248" />
   </fig>
   <fig id="fig2" position="float">
    <label>Figure 2</label>
    <caption>
     <title>Figure 2. CRP concentration in homozygous sickle cell patients.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2030340-rId15.jpeg?20250701101248" />
   </fig>
   <fig id="fig3" position="float">
    <label>Figure 3</label>
    <caption>
     <title>Figure 3. IL-6 concentration in homozygous sickle cell subjects.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2030340-rId16.jpeg?20250701101248" />
   </fig>
   <fig id="fig4" position="float">
    <label>Figure 4</label>
    <caption>
     <title>Figure 4. COX-1 concentration in homozygous sickle cell subjects.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2030340-rId17.jpeg?20250701101248" />
   </fig>
   <fig id="fig5" position="float">
    <label>Figure 5</label>
    <caption>
     <title>Figure 5. COX-2 concentration in homozygous sickle cell subjects.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2030340-rId18.jpeg?20250701101248" />
   </fig>
   <fig id="fig6" position="float">
    <label>Figure 6</label>
    <caption>
     <title>Figure 6. VCAM-1 concentration in homozygous sickle cell subjects.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2030340-rId19.jpeg?20250701101248" />
   </fig>
   <p>Our results show a weak, non-significant correlation IL-6 and pain in homozygous sickle cell patients in crisis and not in crisis (r = −0.11, p = 0.24) (<xref ref-type="fig" rid="fig7">
     Figure 7
    </xref>).</p>
   <fig id="fig7" position="float">
    <label>Figure 7</label>
    <caption>
     <title>Figure 7. Correlation between IL-6 and pain score in sickle cell subjects’ homozygotes.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2030340-rId20.jpeg?20250701101247" />
   </fig>
   <fig id="fig8" position="float">
    <label>Figure 8</label>
    <caption>
     <title>Figure 8. Correlation between CRP and pain score in homozygous sickle cell subjects.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2030340-rId21.jpeg?20250701101247" />
   </fig>
   <fig id="fig9" position="float">
    <label>Figure 9</label>
    <caption>
     <title>Figure 9. Correlation between COX-1 and pain score in homozygous sickle cell subjects.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2030340-rId22.jpeg?20250701101247" />
   </fig>
   <fig id="fig10" position="float">
    <label>Figure 10</label>
    <caption>
     <title>Figure 10. Correlation between COX-2 and pain score in homozygous sickle cell subjects.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2030340-rId23.jpeg?20250701101248" />
   </fig>
   <p>Our data show a very weak and non-significant correlation between VCAM-1 concentration and pain in homozygous sickle cell patients (r = 0.08 and P = 0.59) (<xref ref-type="fig" rid="fig11">
     Figure 11
    </xref>).</p>
   <fig id="fig11" position="float">
    <label>Figure 11</label>
    <caption>
     <title>Figure 11. Correlation between VCAM-1 and pain score in homozygous sickle cell subjects.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2030340-rId24.jpeg?20250701101247" />
   </fig>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>The objective of this work was to analyze the correlation between pain scores and levels of IL-6, CRP, COX-1, COX-2, and VCAM-1 in sickle cell subjects followed in Brazzaville. Our results showed the involvement of cyclooxygenase 2 (COX-2) and CRP as biomarkers of pain and inflammation in homozygous sickle cell patients presenting vaso-occlusive episodes (VOE). The analysis of sociodemographic factors showed that the age group of 18 years and older, accounting for 50.59%, was the most represented. The average age was 18.70 ± 9.30 years, with extremes ranging from 2 to 62 years and no statistically significant difference by sex (p = 0.490). These results are like those obtained by Shah et al. in 2019 in the United States, where the average age was 17.94 ± 15.17 years and the age group of 18 - 30 years was the most represented. This observation corroborates those of S. Diop et al. in 2003, where the average age was 27 years (from 20 to 51 years), the 20 - 29 age group represented 67.5%, the 30 - 39 age group represented 26.9%, and the over 40 age group 5.6% with a sex ratio of 1.25. This is explained by the fact that young homozygous sickle cell subjects with CVO often do not reach adulthood due to pain and repeated crises.</p>
   <p>The distribution of patients by sex showed a slight male predominance (43 men) or 50.59%, while the female frequency with 42 cases was 49.41% or a sex ratio (M/F) of 1.02 which is consistent with the studies carried out in Dakar by Diagne et al., in 2000 <xref ref-type="bibr" rid="scirp.143803-10">
     [10]
    </xref> <xref ref-type="bibr" rid="scirp.143803-19">
     [19]
    </xref> <xref ref-type="bibr" rid="scirp.143803-20">
     [20]
    </xref>, those of S. Diop et al. in 2003 <xref ref-type="bibr" rid="scirp.143803-20">
     [20]
    </xref> in whom on the results, at the level of sex, there was a slight male predominance with a sex ratio of 1.25. These results corroborate those of the study carried out in Congo, at the National Reference Center for Sickle Cell Disease in Niger by Mounkaila and al. in 2015 <xref ref-type="bibr" rid="scirp.143803-21">
     [21]
    </xref> where they found a slight male predominance with respectively sex ratios (M/F) of 1.02 and 1.2. The difference in gender distribution between series could be explained by the fact that sickle cell disease is a hereditary condition whose transmission is not linked to sex.</p>
   <p>Of the 85 patients included in our study, 39 (45.88%) homozygous sickle cell patients were in CVO and 46 (54.12%) in the inter-critical phase. Many patients in the CVO phase presented severe bone pain (84.62%). This result corroborates that found by Mekone Nkwele I. et al. in 2022 in Cameroon <xref ref-type="bibr" rid="scirp.143803-22">
     [22]
    </xref> whose study showed that the most frequent vaso-occlusive crises involved osteoarticular pain (34.6%), followed by hand-foot syndrome (26.4%) and abdominal pain (20.3%). The high proportion of patients suffering from CVO in this series could be explained by a failure to comply with hygiene and dietary measures which would result from a feeling of social exclusion described in carriers of chronic diseases. Therapeutic constraints and lifestyle restrictions would lead to an alteration in treatment compliance in the latter, hence the resurgence of CVO.</p>
   <p>We observed a statistically significant increase in CRP concentration in homozygous sickle cell patients in the CVO phase compared to homozygous sickle cell patients in the inter-critical phase (p = 0.000). These results were like those found by E. P. L. Nanitelamio et al. in 2021 in Brazzaville <xref ref-type="bibr" rid="scirp.143803-4">
     [4]
    </xref> who stated in their study that the increase in CRP confirms the fact that homozygous sickle cell patients are prone to numerous crises. These results could be explained by the fact that sickle cell disease is an inflammatory disease, one of the markers of which is leukocytosis. IL-6 Essay in our study population did not reveal any statistically significant difference between homozygous sickle cell patients in CVO and homozygous sickle cell patients in the inter-ictal phase (p = 0.06). However, IL-6 levels were elevated in both cases. This justifies its sensitivity at a very early stage of inflammation. These results are like those of A C Makis et al. in 2000 <xref ref-type="bibr" rid="scirp.143803-23">
     [23]
    </xref> who, in their study, observed an increase in IL-6 levels in sickle cell disease at steady state.</p>
   <p>The lack of a significant link between IL-6/CRP and pain could reflect their more general role in systemic inflammation, rather than in the specific modulation of nociception. Factors such as sampling timing or inter-individual variations could also explain this discrepancy.</p>
   <p>Nos Our results showed no statistically significant difference in COX1 in homozygous sickle cell patients, either in crisis or in the inter-critical phase, however, the concentrations in both groups were elevated. We found no studies that link COX-1 and sickle cell disease; however, several studies show that COX-1 is linked to inflammation and pain as stated by Smith CJ et al. in 1998 <xref ref-type="bibr" rid="scirp.143803-24">
     [24]
    </xref>. However, COX2 results were found to be elevated during crisis in homozygous sickle cell patients with a correlation to pain score. These results corroborate those of Chun KS et al. in 2024 <xref ref-type="bibr" rid="scirp.143803-25">
     [25]
    </xref> who when measuring COX2 in cancer patients, the pro-inflammatory functions of COX-2, showed that COX2 also catalyzes the production of pro-resolving and anti-inflammatory metabolites from polyunsaturated fatty acids with high values. The strong correlation between COX-2 and pain (r = 0.65) is explained by its role in the synthesis of prostaglandins, which sensitize nociceptive neurons. This result is consistent with studies on other inflammatory pathologies, supporting the potential use of COX-2 inhibitors for the management of sickle cell pain.</p>
   <p>Although VCAM-1 concentrations are elevated in homozygous sickle cell patients, results that corroborate those of María Emilia Solano et al., in 2011 [26] who demonstrated the involvement of VCAM-1 in the inflammatory process and in the aggravation of PCOS symptoms by promoting the recruitment of leukocytes in the ovaries and perpetuating local inflammation. Our results show no difference between the interictal phase and the critical phase of sickle cell disease.</p>
   <p>Finally, although we documented pain intensity, the exact duration of VOCs and comorbidities (such as malaria or nutritional deficiencies) was not systematically recorded. These factors could influence biomarker levels and deserve further study.</p>
  </sec><sec id="s5">
   <title>5. Conclusion</title>
   <p>Although homozygous sickle cell disease is an inflammatory disease, the manifestation of inflammatory and painful vaso-occlusive crises and the results of this study highlight some realities of inflammatory biomarkers and pain scoring. Our study highlighted the involvement of inflammatory and pain biomarkers in pain and inflammation in homozygous sickle disease patients in the inter-ictal and critical phases. Our results concluded that cyclooxygenase-2 (COX-2) and CRP are biomarkers involved in pain and inflammation in sickle cell disease in homozygous patients during vaso-occlusive crises (VOCs).</p>
  </sec><sec id="s6">
   <title>Acknowledgments</title>
   <p>We thank the doctoral program at the Faculty of Health Sciences for the opportunity to write theses and scientific articles (with submission and publication). Our thanks also go to all the research centers that allowed us to collect and process samples, namely the CNDr of Brazzaville, the CNTS of Brazzaville, the Research Laboratory of the Faculty of Health Sciences, and the TRIOS Medical Analysis Laboratory.</p>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.143803-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Riccetti, M. (2022) Gender-Specific Impact of Sickle Cell Disease, Drug Treatment, and Endurance Training on Muscle Tissue, Its Phenotype, and Metabolic Capacities. Human Medicine and Pathology. Savoie Mont Blanc University. &gt;https://theses.hal.science/tel-04890790v1/file/RICCETTI_2022_archivage.pdf 
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Stephane, K.T.A. (2023) Molecular Study of the Polymorphism of Human Chromosome 11 Beta-Globin Genes Involved in the Expression of Sickle Cell Disease in Côte D’ivoire. Molecular Biology. Felix Houphouet Boigny of Cocody University. &gt;https://hal.science/tel-04217517 
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Thiam, L., Dramé, A., Coly, I.Z., Diouf, F.N., Seck, N., Boiro, D., et al. (2017) Profils épidémiologiques, cliniques et hématologiques de la drépanocytose homozygote SS en phase intercritique chez l’enfant à Ziguinchor, Sénégal. Revue d’Oncologie Hématologie Pédiatrique, 5, 130-135. &gt;https://doi.org/10.1016/j.oncohp.2017.10.003
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nanitelamio, E.P.L., Mokono, S.O., Mbani, C.J., Atipo-Tsiba, O.G., Niama, F.R., Mokondjimobe, E., et al. (2021) Hematological and Biochemical Profile of Sickle Cell Patients in Critical and Inter-Critical Periods in Brazzaville, Republic of Congo. Open Journal of Blood Diseases, 11, 57-65. &gt;https://doi.org/10.4236/ojbd.2021.112007
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Habibi, A., Arlet, J., Stankovic, K., Gellen-Dautremer, J., Ribeil, J., Bartolucci, P., et al. (2015) Recommandations françaises de prise en charge de la drépanocytose de l’Adulte: Actualisation 2015. La Revue de Médecine Interne, 36, 5S3-5S84. &gt;https://doi.org/10.1016/s0248-8663(15)60002-9
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ranque, B. (2024) Pronostic de la drépanocytose en Afrique: État des lieux et leviers d’action. Bulletin de l’Académie Nationale de Médecine, 208, 660-670. &gt;https://doi.org/10.1016/j.banm.2024.03.001
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Okoue Ondo, R., Edjo Nkilly, G., Nze Obiang, P., Matsanga, A., Oliveira, S., Cisse, M., et al. (2022) Complications aiguës des syndromes drépanocytaires majeurs: Expérience de l’Hôpital d’instruction des armées Omar Bongo Ondimba. Journal Européen des Urgences et de Réanimation, 34, 82-91. &gt;https://doi.org/10.1016/j.jeurea.2022.08.003
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Arlet, J., Cheminet, G. and Allali, S. (2021) Les crises vaso-occlusives de la drépanocytose. La Presse Médicale Formation, 2, 373-379. &gt;https://doi.org/10.1016/j.lpmfor.2021.08.013
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chadebech, P., Bodivit, G., Jouard, A., Lelong, F., Galacteros, F., Lecron, J., et al. (2021) Les cytokines plasmatiques chez les patients drépanocytaires comme marqueurs prédictifs de survenue des hémolyses transfusionnelles retardées. Transfusion Clinique et Biologique, 28, S113. &gt;https://doi.org/10.1016/j.tracli.2021.08.329
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Guindo, A., Koya, A., Sarro, Y.d.S., Toure, A.B., Doumbia, M., Traoré, Y., et al. (2024) Analysis of Iron Status in Sickle Cell Disease Patients during Steady State at the Center de Recherche et de Lutte Contre La Drépanocytose (CRLD) Bamako. Hemoglobin, 48, 314-318. &gt;https://doi.org/10.1080/03630269.2024.2419889
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Reinert, P. (2016) Le rôle majeur de la vaccination pour les enfants atteints de drépanocytose. Médecine thérapeutique/Pédiatrie. 2016, 19(4):264-269.
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Houngue, U.M. (2021) Characterization of New Vasorelaxant Molecules: Chemico-Pharmacological Studies of Carissa edulis, a Medicinal Species in the Beninese Pharmacopoeia. Doctoral Dissertation, University of Strasbourg, University of Abomey-Calavi (Benin).
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kaul, D.K. (2009) Quels sont les effets pathologiques de la drépanocytose sur la biologie vasculaire? Hématologie, 15, 446-457. &gt;https://doi.org/10.1684/hma.2009.0393
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kochkar, R., Nsiri, B., Gritli, N. and Ghazouani, E. (2009) Le profil sérologique des molécules d’adhésion chez des patients drépanocytaires. Immuno-analyse&amp;Biologie Spécialisée, 24, 16-19. &gt;https://doi.org/10.1016/j.immbio.2008.07.004
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chaudet, B., Renard, M., Seigneur, M. and Boisseau, M.R. (2000) Adhésion des hématies à l’endothélium vasculaire: Applications en pathologie. La Revue de Médecine Interne, 21, 599-607. &gt;https://doi.org/10.1016/s0248-8663(00)80005-3
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     BChir, J.F.M. (2013) Déclaration d’Helsinki de l’AMM—Principes éthiques applicables à la recherche médicale impliquant des participants humains. &gt;https://www.wma.net/fr/policies-post/declaration-dhelsinki-de-lamm-principes-ethiques-applicables-a-la-recherche-medicale-impliquant-des-etres-humains/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref17">
    <label>17</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Béraud, B.L., Nicolo, P. and Bruyneel, A. (2023) Mesure de l’intensité de la douleur par l’échelle visuelle analogique. Kinésithérapie, la Revue, 23, 50-54. &gt;https://doi.org/10.1016/j.kine.2023.07.001
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref18">
    <label>18</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Shah, N., Bhor, M., Xie, L., Arcona, S., Halloway, R., Paulose, J., et al. (2019) Evaluation of Vaso-Occlusive Crises in United States Sickle Cell Disease Patients: A Retrospective Claims-Based Study. Journal of Health Economics and Outcomes Research, 6, 106-117. &gt;https://doi.org/10.36469/9667
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref19">
    <label>19</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Diop, S., Mokono, S.O., Ndiaye, M., Touré Fall, A.O., Thiam, D. and Diakhaté, L. (2003) La drépanocytose homozygote après l’âge de 20 ans: Suivi d’une cohorte de 108 patients au CHU de Dakar. La Revue de Médecine Interne, 24, 711-715. &gt;https://doi.org/10.1016/s0248-8663(03)00220-0
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref20">
    <label>20</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Monkaila, B., Oumarou, H.K., Garba, M., Maiga, A., Akpona, S.A. and Sanogo, I. (2015) Chronic Hemolysis in SS and SC Sickle Cell Patients in Stationary Phase: A Comparative Study at the National Reference Center for Sickle Cell Disease in Niamey. Cames Sante Review, 3, 25-29.
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref21">
    <label>21</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Isabelle, M., Ca, M. and Andréa, Y. (2023) Epidemiological and Clinical Aspects of Children Followed for Vaso-Occlusive Crisis at the Mother and Child Center of the Chantal Biya Foundation. 31-36.
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref22">
    <label>22</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Makis, A.C., Hatzimichael, E.C., Mavridis, A. and Bourantas, K.L. (2000) Alpha-2-Macroglobulin and Interleukin-6 Levels in Steady-State Sickle Cell Disease Patients. Acta Haematologica, 104, 164-168. &gt;https://doi.org/10.1159/000046509
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref23">
    <label>23</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Smith, C.J., Zhang, Y., Koboldt, C.M., Muhammad, J., Zweifel, B.S., Shaffer, A., et al. (1998) Pharmacological Analysis of Cyclooxygenase-1 in Inflammation. Proceedings of the National Academy of Sciences, 95, 13313-13318. &gt;https://doi.org/10.1073/pnas.95.22.13313
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref24">
    <label>24</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chun, K.S., Kim, E.H., Kim, D.H., Song, N.Y., Kim, W., Na, H.K. and Surh, Y.J. (2024) Targeting Cyclooxygenase-2 for Chemoprevention of Inflammation-Associated Intestinal Carcino-Genesis: An Update. Biochemical Pharmacology, 228, Article ID: 116259. &gt;https://doi.org/10.1016/j.bcp.2024.116259
    </mixed-citation>
   </ref>
   <ref id="scirp.143803-ref25">
    <label>25</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Solano, M.E., Sander, V.A., Ho, H., Motta, A.B. and Arck, P.C. (2011) Systemic Inflammation, Cellular Influx and Up-Regulation of Ovarian VCAM-1 Expression in a Mouse Model of Polycystic Ovary Syndrome (PCOS). Journal of Reproductive Immunology, 92, 33-44. &gt;https://doi.org/10.1016/j.jri.2011.09.003
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>