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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">fns</journal-id>
      <journal-title-group>
        <journal-title>Food and Nutrition Sciences</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2157-9458</issn>
      <issn pub-type="ppub">2157-944X</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/fns.2026.179049</article-id>
      <article-id pub-id-type="publisher-id">fns-153819</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Biomedical</subject>
          <subject>Life Sciences</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Assessment of the Impact of Consuming Enriched Flours with Anti-Inflammatory and Antioxidant Properties among People with Sickle Cell Anemia in Togo</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Kouassi</surname>
            <given-names>Kafui Codjo</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0009-0000-8311-7543</contrib-id>
          <name name-style="western">
            <surname>Ouro-Bere</surname>
            <given-names>Tchagbélé</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Magnang</surname>
            <given-names>Hezouwe</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">5</xref>
          <xref ref-type="aff" rid="aff6">6</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Bouka</surname>
            <given-names>Ekpetsi Chantal</given-names>
          </name>
          <xref ref-type="aff" rid="aff7">7</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Paka</surname>
            <given-names>Essodolom</given-names>
          </name>
          <xref ref-type="aff" rid="aff7">7</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Madjalani</surname>
            <given-names>Hèzouwè</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Tchacondo</surname>
            <given-names>Tchadjobo</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Laboratory of Biomedical, Food, and Environmental Health Sciences (LaSBASE), University of Lomé, Lomé, Togo </aff>
      <aff id="aff2"><label>2</label> Faculty of Sciences, University of Lomé, Lomé, Togo </aff>
      <aff id="aff3"><label>3</label> Biochemistry Unit, University Hospital Campus, Lomé, Tog </aff>
      <aff id="aff4"><label>4</label> Biochemistry Unit, Sylvanus Olympio University Hospital, Lomé, Togo </aff>
      <aff id="aff5"><label>5</label> Faculty of Health Sciences, University of Lomé, Lomé, Togo </aff>
      <aff id="aff6"><label>6</label> National Center for Research and Care for Sickle Cell Patients, Lomé, Togo </aff>
      <aff id="aff7"><label>7</label> Togolese Institute for Agricultural Research (ITRA), Lomé, Togo </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflicts of interest regarding the publication of this paper.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>14</day>
        <month>09</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>09</month>
        <year>2026</year>
      </pub-date>
      <volume>17</volume>
      <issue>09</issue>
      <fpage>759</fpage>
      <lpage>782</lpage>
      <history>
        <date date-type="received">
          <day>23</day>
          <month>07</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>22</day>
          <month>08</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>14</day>
          <month>09</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/fns.2026.179049">https://doi.org/10.4236/fns.2026.179049</self-uri>
      <abstract>
        <p><bold>Background:</bold> Sickle cell disease remains a hereditary condition for which there is no widely accessible curative treatment in sub-Saharan Africa. Growing interest in nutrition as a means of reducing morbidity has led to the development of adapted local nutritional alternatives. <bold>The</bold><bold>Objective</bold>of this study was to evaluate the impact of consuming an enriched flour with anti-inflammatory and antioxidant properties among undernourished patients with sickle cell disease. <bold>Methods:</bold>This was a prospective interventional study conducted from July 1, 2024, to July 31, 2025, at the National Center for Sickle Cell Disease Reference and Follow-up in Togo. Of the 233 patients recruited, 154 were identified as undernourished; 75 of them were enrolled in the intervention phase, and 57 completed the 6-month follow-up period while consuming the enriched flour porridge. <bold>Results:</bold> The prevalence of malnutrition was 66.1%. After 6 months of intervention, vaso-occlusive crises decreased by 86% (from 1.46 to 0.20 episodes/month, p &lt; 0.001), and quantitative CRP levels decreased by 64%. Paired analysis (McNemar’s test) showed a significant improvement in CRP levels (OR = 7.33; 95% CI 2.20 - 24.50; p &lt; 0.001) and albumin levels (OR = 7.00; 95% CI 1.59 - 30.80; p = 0.004), with no significant paired change for alpha-1-glycoprotein (OR = 1.08; 95% CI 0.51 - 2.29; p = 1.000), alpha-2-glycoprotein (OR = 0.22; 95% CI 0.05 - 1.03; p = 0.065), or beta-2-glycoprotein (OR = 2.40; 95% CI 0.85 - 6.81; p = 0.143). The proportion of patients with normal muscle mass increased by 21%. <bold>Conclusion:</bold>Enriched flour made from local products showed a positive and clinically significant impact on nutritional status, inflammatory status, the incidence of vaso-occlusive crises, and quality of life in undernourished patients with sickle cell disease, although this effect was not consistent across the inflammatory markers studied. Systematic integration of nutritional management into the overall care of sickle cell patients is recommended.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Sickle Cell Disease</kwd>
        <kwd>Undernutrition</kwd>
        <kwd>Enriched Flour</kwd>
        <kwd>Anti-Inflammatory</kwd>
        <kwd>Antioxidant</kwd>
        <kwd>Vaso-Occlusive Crisis</kwd>
        <kwd>Togo</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Sickle cell disease is an autosomal recessive hereditary hemoglobinopathy resulting from a point mutation in the beta-globin gene (chromosome 11), leading to the substitution of glutamic acid with valine at position 6 of the beta chain. This abnormality leads to the synthesis of a mutant hemoglobin (HbS) that polymerizes under hypoxic conditions, causing erythrocytes to become sickle-shaped [<xref ref-type="bibr" rid="B1">1</xref>][<xref ref-type="bibr" rid="B2">2</xref>]. It is the most common monogenic genetic disorder worldwide, with a pooled prevalence of 1.43% (95% CI: 1.08% - 1.88%) in Africa, where approximately 80% of global cases are reported [<xref ref-type="bibr" rid="B3">3</xref>]. In sub-Saharan Africa, it constitutes a major public health problem, exacerbated by insufficient diagnostic, therapeutic, and preventive resources [<xref ref-type="bibr" rid="B4">4</xref>].</p>
      <p>From a pathophysiological perspective, sickle cell disease is characterized by four interconnected processes: HbS polymerization, blood rheology disorders and vascular occlusion, intravascular hemolysis, and the activation of chronic sterile inflammation [<xref ref-type="bibr" rid="B5">5</xref>]. This inflammation, mediated by the TLR-4 and inflammasome pathways, perpetuates a vicious cycle of ischemia-reperfusion and endothelial damage, which explains the frequency and severity of vaso-occlusive crises (VOCs) [<xref ref-type="bibr" rid="B5">5</xref>][<xref ref-type="bibr" rid="B6">6</xref>]. CRP, alpha-globulins, and gamma-globulins are markers of acute and chronic inflammation that are commonly elevated in these patients [<xref ref-type="bibr" rid="B7">7</xref>].</p>
      <p>Patients with sickle cell disease have increased nutritional needs due to chronic hypermetabolism (persistent hemolytic anemia), recurrent infections, and inflammation. These factors contribute to widespread undernutrition, the consequences of which include worsening anemia, increased susceptibility to infection, and a higher frequency of complications [<xref ref-type="bibr" rid="B8">8</xref>]. Recent systematic reviews have highlighted a high prevalence of stunted growth and malnutrition among African patients with sickle cell disease, while emphasizing the glaring lack of interventional studies in this area [<xref ref-type="bibr" rid="B9">9</xref>][<xref ref-type="bibr" rid="B10">10</xref>].</p>
      <p>Given this situation, the development of functional foods based on local resources is of major interest in terms of accessibility and cultural adaptation. Turmeric (<italic>Curcuma longa</italic>), moringa (<italic>Moringa oleifera</italic>), baobab (<italic>Adansonia digitata</italic>), soy (<italic>Glycin max</italic>), and sesame (<italic>Sesamun indicum</italic>) are recognized for their well-documented anti-inflammatory and antioxidant properties [<xref ref-type="bibr" rid="B11">11</xref>]-[<xref ref-type="bibr" rid="B14">14</xref>]. A composite flour formulation combining these ingredients was developed with funding from FAO-Togo. Its design and production were made possible through a tripartite collaboration between the Laboratory of Biomedical, Agri-Food, and Environmental Health Sciences (LaSBASE), the Togolese Institute for Agronomic Research (ITRA), and the National Reference and Monitoring Center for Sickle Cell Disease (CNRSD) [<xref ref-type="bibr" rid="B15">15</xref>]. This flour could offer a multimodal nutritional approach capable of modulating the oxidative stress and chronic inflammation that characterize sickle cell disease.</p>
      <p>The objective of this study is to prospectively evaluate the impact of an enriched flour with anti-inflammatory and antioxidant effects, administered as porridge to malnourished patients with sickle cell disease being treated at the CNRSD in Togo.</p>
    </sec>
    <sec id="sec2">
      <title>2. Material and Methods</title>
      <sec id="sec2dot1">
        <title>2.1. Study Type, Setting, and Duration</title>
        <p>This was a single-arm, prospective, interventional study conducted from July 1, 2024, to July 31, 2025 (13 months) at the CNRSD in Togo, located in Lomé. This facility served as the site for recruitment, anthropometric measurements, bioimpedance analysis, and follow-up of malnourished patients with sickle cell disease who came to pick up their flour kits. The Togolese Institute of Agricultural Research (ITRA) produced the batches of flour needed for ongoing distribution. The National Institute of Hygiene and Public Health (INH) served as the site for conducting biochemical tests.</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Data Collection Equipment</title>
        <p>The weight of children and adults with sickle cell disease was measured using an M321600 electronic scale (ADE Germany, China) with a digital display capable of weighing up to 250 kg in 0.1-kg increments. Height was measured using a Shorr height rod with 0.1-cm increments. Arm circumference was measured using a Shakir tape-. Harpenden calipers were used for triceps skinfold thickness, and the Z-Metrix (Bioparhom, France) was used for body composition analysis. The Cobas c311 and e411 biochemical and immunochemical analyzers (Roche Diagnostics, Switzerland) were used for the various biochemical assays. The Minicap Flex Piercing (SEBIA, France) was used to perform protein electrophoresis. Data were collected during face-to-face interviews using a pre-established questionnaire. The questionnaire was pre-tested, including reproducibility exercises for the use of the Harpenden caliper. At the end of each day, the completed forms were reviewed and corrected as necessary to ensure the completeness and accuracy of the data.</p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. Selection and Inclusion of Volunteers</title>
        <p>2.3.1. Study Population</p>
        <p>Based on the 10% attendance rate of individuals with sickle cell disease seen at the CNRSD representing 343 subjects expected for the assessment of protein-energy nutritional status a study population size consistent with the prevalence of sickle cell disease was determined. Taking into account the estimated prevalence of major sickle cell disease of between 3% and 5% [<xref ref-type="bibr" rid="B16">16</xref>] and using Cochran’s formula, a sample size of 73 patients was determined.</p>
        <p>2.3.2. Inclusion Criteria</p>
        <p>The study population consisted of HbSS and HbSC sickle cell patients. The inclusion criteria were: a confirmed diagnosis of sickle cell disease by hemoglobin electrophoresis; the presence of malnutrition diagnosed according to at least one validated WHO criterion, primarily through anthropometric measurements (weight, height, BMI, upper arm circumference, and triceps skinfold thickness) and secondarily through body composition assessment and measurement of certain biochemical parameters. Age over 5 years, and informed consent from the patient or their legal guardian.</p>
        <p>2.3.3. Exclusion Criteria</p>
        <p>Patients with severe uncontrolled comorbidities, those on immunosuppressive therapy, or those who had received a transfusion within the 3 months prior to enrollment were excluded.</p>
        <p>2.3.4. Follow-Up Method</p>
        <p>Selected patients with sickle cell disease underwent assessment of sociodemographic information, dietary habits, and anthropometric measurements (weight, height, BMI, upper arm circumference, and triceps skinfold thickness) to diagnose malnutrition. Once consent was obtained for a 6-month follow-up, a blood sample was collected and body composition was measured using bioelectrical impedance analysis for each subject at the beginning and end of the 6-month follow-up period. Kits containing 100 g of enriched flour with anti-inflammatory and antioxidant properties, produced by [<xref ref-type="bibr" rid="B15">15</xref>], were provided at a rate of 2 kits per day for adolescents and children under 18 years of age and 3 kits per day for adults over 19 years of age during the 6-month follow-up period. Biochemical testing methods were used to assess malnutrition and inflammatory processes.</p>
        <p>2.3.5. Vaso-Occlusive Crises (VOCs)</p>
        <p>Vaso-occlusive crises (VOC) were defined as any painful episode of sufficient intensity to require analgesic treatment and/or a medical consultation or hospitalization, lasting at least two hours, with no other identifiable cause [<xref ref-type="bibr" rid="B17">17</xref>]. The baseline VOC rate (prior to intervention) was determined through review of the medical records of participants followed at the CNRSD, as well as through structured interviews conducted at enrollment, during which patients reported the number of VOC episodes occurring in the six months preceding their inclusion. Following enrollment, participants were monitored over a six-month follow-up period through scheduled visits (T1 to T5) for flour stock renewal and verification of any use of transfusion or hydroxyurea, supplemented by regular telephone contacts between visits and a follow-up booklet provided to each patient. Any VOC episode occurring during the follow-up period, including those managed outside the study center, was systematically recorded through these various means.</p>
      </sec>
      <sec id="sec2dot4">
        <title>2.4. Assessment of Nutritional Status</title>
        <p>2.4.1. Anthropometric Measurements</p>
        <p>Measurements were performed according to WHO procedures [<xref ref-type="bibr" rid="B18">18</xref>]. Malnutrition was assessed using a three-tier classification (severe, moderate, normal) based on five indicators: weight-for-length z-score (12 - 59 months), height-for-age z-score (5 - 18 years), body mass index (BMI) (≥ 19 years), upper arm circumference (UAC), and triceps skinfold thickness (TSFT). The TSC thresholds were based on WHO growth charts for children under 5 years of age, the tables by Soylu <italic>et al</italic>. (2021) for 6 - 18-year-olds [<xref ref-type="bibr" rid="B19">19</xref>], and the reference values from Hasselmann &amp; Alix (2003) for adults aged 19 and older, defining depletion of fat reserves as a value below 50% of the mean reference value for the respective sex (<italic>i.e.</italic>, &lt;6 mm in men and &lt;11.5 mm in women) [<xref ref-type="bibr" rid="B20">20</xref>][<xref ref-type="bibr" rid="B21">21</xref>]. A patient was classified as malnourished if they exhibited severe or moderate malnutrition on at least one indicator.</p>
        <p>2.4.2. Body Composition Measurements: Bioimpedance Analysis</p>
        <p>Impedance measurement is a method of measuring resistance to the flow of an electric current. This test relies on the electrical properties of biological tissue and involves passing a harmless, low-intensity electric current (approximately 70 mA) through the body via electrodes in contact with the skin, and measuring its conduction within the body. The impedance measurement was performed using electrodes placed precisely on the limbs, with the subject standing with legs slightly apart. Electrode placement: four electrodes labeled 1, 2, 5, and 6 are placed on the skin. Electrodes 1 and 2 (higher up) are placed on the hand, and electrodes 5 and 6 (lower down) are placed on the ankle. Formulas are then used to convert the impedance, which measures body water into an estimate of the fat mass. The Metabolic Activity Index (MAI) indicates healthy ion channels, the ability to restore osmotic pressure, and proper transfer of ions and proteins. MAI &lt; 4.63 (abnormal metabolic activity) MAI 4.63 - 7.63 (reference range).</p>
        <p>Muscle Mass (MM) or Muscle Mass Index (MMI) measures the total weight of the cells that make up the muscles and is a good indicator of lean body mass. Muscle Mass Index (MMI):</p>
        <p>M &lt; 7.0 and F &lt; 5.7</p>
        <p>Non-fat mass represents lean body mass (LBM), which accounts for visceral protein mass, intracellular and extracellular water, and bone mass. It includes muscles, bones, organs, water, and blood, and is used to assess malnutrition in obese individuals. Non-fat mass index: M &lt; 17, F &lt; 15 kg/m<sup>2</sup>.</p>
        <p>Fat Mass (FM) or Fat Mass Index (FMI) is the amount of fat in the body; it is a better indicator of body composition than BMI, since BMI does not distinguish between muscle mass and fat mass. A decrease in FM is the best indicator of weight loss.</p>
        <p>2.4.3. Evaluation Using Biochemical Measures</p>
        <p>The following tests were performed on the blood samples collected, taking into account the standard reference values [<xref ref-type="bibr" rid="B22">22</xref>][<xref ref-type="bibr" rid="B23">23</xref>].</p>
        <p>Spectrophotometry: albumin, calcium, magnesium, phosphorus,Particle-based immuno-turbidimetry: CRP and ferritin;Indirect potentiometric ISE: sodium, potassium, and chloride;Capillary technique using Minicap Flex Piercing: protein electrophoresis. The relevant fractions analyzed were Alpha 1 and Alpha 2 for monitoring the inflammatory status.</p>
        <p><bold>1)</bold><bold>Albumin</bold></p>
        <p>Principle: At a pH of 4.1, albumin is sufficiently cationic to combine with bromocresol green (BCG) in the form of an anion to form a blue-green complex [<xref ref-type="bibr" rid="B24">24</xref>]. The intensity of the blue-green color developed is directly proportional to the albumin concentration and is measured by photometry. Wavelengths (sec/primary) 505/570 nm.</p>
        <p>Reference range: Adults 35 - 52 g/L (532 - 790 μmol/L).</p>
        <p>Interpretation: Moderate malnutrition 30 - 35 g/L, Severe malnutrition 25 - 30 g/L.</p>
        <p><bold>2)</bold><bold>Calcium</bold></p>
        <p>Principle: Calcium ions react with 5-nitro-5'-methyl-BAPTA (NMBAPTA) in an alkaline medium to form a complex. Subsequently, this complex reacts in the presence of EDTA. The intensity of the color developed by the complex is directly proportional to the calcium concentration and is measured by photometry. Wavelengths (absorbance/reference) 376/340 nm.</p>
        <p>Reference range depend on age.</p>
        <p>0 - 10 days 76 - 104 mg/L</p>
        <p>10 days - 2 years 90 - 110 mg/L</p>
        <p>2 - 12 years 88 - 108 mg/L</p>
        <p>12 - 18 years 84 - 102 mg/L</p>
        <p>18 - 60 years 86 - 100 mg/L</p>
        <p>60 - 90 years 88 - 102 mg/L</p>
        <p>&gt;90 years 82 - 96 mg/L</p>
        <p>Interpretation: Hypocalcemia below reference values</p>
        <p>Hypercalcemia above reference values</p>
        <p><bold>3)</bold><bold>Magnesium</bold></p>
        <p>Principle: Magnesium ions form a purple complex in an alkaline medium with xylidyl blue (diazonium salt). Magnesium concentration is measured photometrically by the decrease in the absorbance of xylidyl blue [<xref ref-type="bibr" rid="B25">25</xref>]. Wavelength (sec/princ) 505/600 nm.</p>
        <p>Reference range depend on age.</p>
        <p>5 months - 6 years 15 - 22 mg/L</p>
        <p>6 - 12 years 17 - 23 mg/L</p>
        <p>12 - 20 years 17 - 21 mg/L</p>
        <p>20 - 60 years 17 - 22 mg/L</p>
        <p>60 - 90 years 1 - 24 mg/L</p>
        <p>&gt;90 years 17 - 23 mg/L</p>
        <p>Interpretation: Hypomagnesemia below reference values</p>
        <p>Hypermagnesemia above reference values</p>
        <p><bold>4)</bold><bold>Phosphorus</bold></p>
        <p>Principle: In the presence of sulfuric acid, inorganic phosphate reacts with ammonium molybdate to form an ammonium phosphomolybdate complex with the formula (NH<sub>4</sub>)<sub>3</sub>[PO<sub>4</sub>(MoO<sub>3</sub>)<sub>12</sub>]. The concentration of phosphomolybdate formed is directly proportional to the concentration of inorganic phosphate and is measured by UV photometry [<xref ref-type="bibr" rid="B26">26</xref>]. Wavelength (sec/princ) 700/340 nm.</p>
        <p>Reference range depend on age.</p>
        <p>Infants: 50 - 70 mg/L</p>
        <p>Children: 32 - 57 mg/L</p>
        <p>Adults: 25 - 45 mg/L</p>
        <p>Interpretation: Hypophosphatemia below reference values</p>
        <p>Hyperphosphatemia above reference values</p>
        <p><bold>5)</bold><bold>C-Reactive Protein (CRP)</bold></p>
        <p>Principle: Immunoturbidimetric assay using on latex particles. Human CRP binds on latex particles coated with anti-CRP monoclonal antibodies. The agglomerates of particle are measured by turbidimetry [<xref ref-type="bibr" rid="B27">27</xref>][<xref ref-type="bibr" rid="B28">28</xref>]. Wavelength (sec/princ): 800/570 nm.</p>
        <p>Reference range for adults: &lt;6 mg/L (&lt;57.12 nmol/L)</p>
        <p>Interpretation: Acute inflammation, CRP &gt; 6 mg/L</p>
        <p><bold>6)</bold><bold>Ferritin</bold></p>
        <p>Principle: Immunoturbidimetric assay using latex particles. Human ferritin binds to latex particles coated with anti-ferritin antibodies. The precipitate is measured by turbidimetry at 570/800 nm [<xref ref-type="bibr" rid="B29">29</xref>].</p>
        <p>Reference rang</p>
        <p>Men (20 to 60 years): 30 - 400 μg/L (67 - 899 pmol/L, 30 - 400 ng/mL)</p>
        <p>Women (17 to 60 years): 15 - 150 μg/L (34 - 337 pmol/L, 15 - 150 ng/mL)</p>
        <p>Interpretation: Hypoferritinemia below reference values</p>
        <p>Hyperferritinemia above reference values</p>
        <p><bold>7)</bold><bold>Sodium Na</bold><bold><sup>+</sup></bold><bold>, Potassium K</bold><bold><sup>+</sup></bold><bold>, Chloride Cl</bold><bold><sup>−</sup></bold></p>
        <p>Principle: Ion-selective electrode, using automatically diluted serum/plasma or urine samples. The sodium, potassium, and chloride electrodes are based on ion-exchange systems [<xref ref-type="bibr" rid="B30">30</xref>]-[<xref ref-type="bibr" rid="B33">33</xref>].</p>
        <p>Calculation: The equation below is used for calculating sample and/or quality control (QC) results:</p>
        <disp-formula id="FD1">
          <mml:math>
            <mml:mrow>
              <mml:mi>C</mml:mi>
              <mml:mi>s</mml:mi>
              <mml:mo>=</mml:mo>
              <mml:msub>
                <mml:mi>C</mml:mi>
                <mml:mrow>
                  <mml:mi>I</mml:mi>
                  <mml:mi>S</mml:mi>
                </mml:mrow>
              </mml:msub>
              <mml:mo>×</mml:mo>
              <mml:mi>log</mml:mi>
              <mml:mrow>
                <mml:mo>(</mml:mo>
                <mml:mrow>
                  <mml:mfrac>
                    <mml:mrow>
                      <mml:mtext>ES</mml:mtext>
                      <mml:mo>−</mml:mo>
                      <mml:mtext>EIS</mml:mtext>
                    </mml:mrow>
                    <mml:mrow>
                      <mml:mo>±</mml:mo>
                      <mml:mtext>S</mml:mtext>
                    </mml:mrow>
                  </mml:mfrac>
                </mml:mrow>
                <mml:mo>)</mml:mo>
              </mml:mrow>
            </mml:mrow>
          </mml:math>
        </disp-formula>
        <p>where:</p>
        <p>CS: Concentration of the ion in the sample</p>
        <p>CIS: Concentration of the ion in the ISE (Internal Standard Electrode) solution</p>
        <p>ES: Electromotive Force (EMF) of the sample</p>
        <p>EIS: EMF of the Internal Standard Electrode (ISE) solution</p>
        <p>S: Slope of electrode</p>
        <p>Log: decimal logarithm</p>
        <p>The complete measurement system for a specific ion consists of the ISE, a reference electrode, and electronic circuits that measure and process the EMF to determine the concentration of the measured ion (K<sup>+</sup>, Cl<sup>−</sup>, Na<sup>+</sup>).</p>
        <p>Reference rang</p>
        <p>Sodium</p>
        <p>Normal 136 - 145 mmol/L</p>
        <p>Interpretation: Hyponatremia below reference values</p>
        <p>Hypernatremia above reference values</p>
        <p>Potassium</p>
        <p>Normal 136 - 145 mmol/L</p>
        <p>Interpretation: Hypokalemia below reference values</p>
        <p>Hyperkalemia above reference values</p>
        <p>Chloride</p>
        <p>Adult 98 - 107 mmol/L</p>
        <p>&gt;90 years 98 - 111 mmol/L</p>
        <p>Interpretation: Hypochloremia below reference values</p>
        <p>Hyperchloremia above reference values</p>
        <p>2.4.4. Protein Electrophoresis</p>
        <p>The basic principles of separation were:</p>
        <p>Electric field: Proteins migrate through a capillary filled with electrolyte under the influence of a high voltage.Electrophoretic mobility: The migration rate depends on the charge and size of each protein.Electroosmotic Flow (EOF): EOF, a fluid flow caused by charges on the capillary wall, accelerates or decelerates the molecules, enabling the detection of all fractions.Detection: A UV detector at the capillary outlet measures the absorbance of the separated proteins, generating an electropherogram.</p>
        <p>The presence of an inflammatory state by protein electrophoresis was assessed as follows:</p>
        <p>Moderate inflammatory syndrome: alpha-1 &gt; 4 g/L and &lt; 6 g/L and/or alpha-2 &gt; 9 g/L and &lt; 12 g/LSevere inflammatory syndrome: alpha-1 &gt; 6 g/L and/or alpha-2 &gt; 12 g/LInflammatory state due to C3 hypercomplementemia: 5 g/L &lt; Beta2 &lt; 8 g/LPrevalence of hypoalbuminemia: Moderate (albumin &lt; 35 g/L and &gt;30 g/L), Severe (albumin &lt; 30 g/L),hypergammaglobulinemia: moderate (gamma &gt; 15 g/L &lt; 20 g/L), severe (&gt;20 g/L).</p>
      </sec>
      <sec id="sec2dot5">
        <title>2.5. Fortified Flour (Composition and Administration)</title>
        <p>The enriched flour was formulated using six local ingredients, selected for their complementary nutritional, anti-inflammatory, and antioxidant properties, which have been documented in the scientific literature. The detailed composition is presented in <bold>Table 1</bold>.</p>
        <p><bold>Table 1.</bold> Composition of 100 g of enriched flour and profile of active compounds [<xref ref-type="bibr" rid="B15">15</xref>].</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Ingredients</bold>
                </td>
                <td>
                  <bold>Active Compounds and Nutritional Objectives</bold>
                </td>
              </tr>
              <tr>
                <td>
                  Yellow corn (
                  <italic>Zea mays</italic>
                  ) 48.8 g
                </td>
                <td>
                  Complex carbohydrates, phenolic compounds, carotenoids, minerals [
                  <xref ref-type="bibr" rid="B34">34</xref>
                  ][
                  <xref ref-type="bibr" rid="B35">35</xref>
                  ].
                </td>
              </tr>
              <tr>
                <td>
                  Soybean (
                  <italic>Glycine max</italic>
                  ) 19.5 g
                </td>
                <td>
                  Complete proteins, phytoestrogens (genistein, daidzein, glycitein), minerals [
                  <xref ref-type="bibr" rid="B36">36</xref>
                  ][
                  <xref ref-type="bibr" rid="B37">37</xref>
                  ].
                </td>
              </tr>
              <tr>
                <td>
                  Baobab (
                  <italic>Adansonia digitata</italic>
                  ) 22.2 g
                </td>
                <td>
                  Vitamin C (200 - 500 mg/100g), flavonoids, proanthocyanidins, beta-carotene, minerals [
                  <xref ref-type="bibr" rid="B38">38</xref>
                  ][
                  <xref ref-type="bibr" rid="B39">39</xref>
                  ].
                </td>
              </tr>
              <tr>
                <td>
                  Moringa (
                  <italic>Moringa oleifera)</italic>
                  7 g
                </td>
                <td>
                  Vitamins A and E, carotenoids, flavonoids, glucosinolates, isothiocyanates, minerals [
                  <xref ref-type="bibr" rid="B40">40</xref>
                  ][
                  <xref ref-type="bibr" rid="B41">41</xref>
                  ].
                </td>
              </tr>
              <tr>
                <td>
                  Turmeric (
                  <italic>Curcuma longa</italic>
                  ) 1.02 g
                </td>
                <td>
                  Curcumin (anti-inflammatory via NF-
                  <italic>κ</italic>
                  B), curcuminoids, minerals [
                  <xref ref-type="bibr" rid="B42">42</xref>
                  ][
                  <xref ref-type="bibr" rid="B43">43</xref>
                  ].
                </td>
              </tr>
              <tr>
                <td>
                  Sesame (
                  <italic>Sesamum indicum</italic>
                  ) 1.48 g
                </td>
                <td>
                  Unsaturated fats, sesamine, sesamolin, antioxidant lignans, minerals [
                  <xref ref-type="bibr" rid="B44">44</xref>
                  ][
                  <xref ref-type="bibr" rid="B45">45</xref>
                  ].
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec2dot6">
        <title>2.6. Statistical Analyses</title>
        <p>The data were entered and analyzed using appropriate statistical software. Quantitative variables are expressed as mean ± standard deviation (x̄ ± SD). Before-and-after comparisons were performed using the Wilcoxon test for quantitative variables and the McNemar test for paired categorical variables. Mated odds ratios (OR) were calculated as the ratio of discordant pairs (b/c), with 95% confidence intervals (95% CI) obtained using the Wald method on a logarithmic scale. The rate of change (RC) was defined as <inline-formula><mml:math display="inline"><mml:mrow><mml:mrow><mml:mrow><mml:mrow><mml:mo> ( </mml:mo><mml:mrow><mml:mover accent="true"><mml:mi> y </mml:mi><mml:mo> ¯ </mml:mo></mml:mover><mml:mo> − </mml:mo><mml:mover accent="true"><mml:mi> x </mml:mi><mml:mo> ¯ </mml:mo></mml:mover></mml:mrow><mml:mo> ) </mml:mo></mml:mrow></mml:mrow><mml:mo> / </mml:mo><mml:mover accent="true"><mml:mi> x </mml:mi><mml:mo> ¯ </mml:mo></mml:mover></mml:mrow></mml:mrow></mml:math></inline-formula> . The threshold for statistical significance was set at p &lt; 0.05.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <sec id="sec3dot1">
        <title>3.1. Characteristics of the Study Population</title>
        <p>A total of 233 patients with sickle cell disease participated in the study, including 119 (51.07%) males and 114 (48.93%) females, for a sex ratio of 1.04 males to 1 female.</p>
        <p>Among the 233 participants, the prevalence of malnutrition based on at least one diagnostic criterion was 66.09% (n = 154). Of the 154 malnourished patients, 75 (48.7%) agreed to undergo laboratory testing and body composition analysis using bioimpedance analysis. Of these, 57 (76%) attended the 6-month follow-up appointment, while 18 participants were lost to follow-up. <xref ref-type="fig" rid="fig1">Figure 1</xref> shows the flowchart of participants.</p>
        <p>The distribution of the 57 and 75 patients by age group and genotype is presented in <bold>Table 2</bold>.</p>
        <fig id="fig1">
          <label>Figure 1</label>
          <graphic xlink:href="https://html.scirp.org/file/2704408-rId19.jpeg?20260914041214" />
        </fig>
        <p><bold>Figure 1.</bold>Participant flowchart.</p>
        <p><bold>Table 2.</bold> Distribution of patients by age group, genotype, and sex (75 = enrollment; 57 = 6-month follow-up).</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td rowspan="3">
                  <bold>Age Groups</bold>
                </td>
                <td colspan="4">
                  <bold>Group of 75</bold>
                </td>
                <td colspan="4">
                  <bold>Group of 57</bold>
                </td>
              </tr>
              <tr>
                <td colspan="2">
                  <bold>Male</bold>
                </td>
                <td colspan="2">
                  <bold>Female</bold>
                </td>
                <td colspan="2">
                  <bold>Men</bold>
                </td>
                <td colspan="2">
                  <bold>Female</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>SS n</bold>
                  <bold>(%)</bold>
                </td>
                <td>
                  <bold>SC n (%)</bold>
                </td>
                <td>
                  <bold>SS n (%)</bold>
                </td>
                <td>
                  <bold>SC n (%)</bold>
                </td>
                <td>
                  <bold>SS n (%)</bold>
                </td>
                <td>
                  <bold>SC n (%)</bold>
                </td>
                <td>
                  <bold>SS n (%)</bold>
                </td>
                <td>
                  <bold>SC n (%)</bold>
                </td>
              </tr>
              <tr>
                <td>6 to 9 years</td>
                <td>2 (2.7)</td>
                <td>0 (0.0)</td>
                <td>3 (4.0)</td>
                <td>0 (0.0)</td>
                <td>2 (3.5)</td>
                <td>0 (0.0)</td>
                <td>2 (3.5)</td>
                <td>0 (0.0)</td>
              </tr>
              <tr>
                <td>Ages 10 - 14</td>
                <td>10 (13.3)</td>
                <td>3 (4.0)</td>
                <td>9 (12.0)</td>
                <td>1 (1.3)</td>
                <td>7 (12.3)</td>
                <td>5 (8.8)</td>
                <td>8 (14.0)</td>
                <td>0 (0.0)</td>
              </tr>
              <tr>
                <td>Ages 15 - 18</td>
                <td>4 (5.3)</td>
                <td>1 (1.3)</td>
                <td>4 (5.3)</td>
                <td>1 (1.3)</td>
                <td>4 (7.0)</td>
                <td>1 (1.8)</td>
                <td>1 (1.8)</td>
                <td>1 (1.8)</td>
              </tr>
              <tr>
                <td>19 and over</td>
                <td>19 (25.3)</td>
                <td>6 (8.0)</td>
                <td>10 (13.3)</td>
                <td>2 (2.7)</td>
                <td>12 (21.1)</td>
                <td>6 (10.5)</td>
                <td>7 (12.3)</td>
                <td>1 (1.8)</td>
              </tr>
              <tr>
                <td>
                  <bold>Total</bold>
                </td>
                <td>
                  <bold>35 (46.7)</bold>
                </td>
                <td>
                  <bold>10 (13.3)</bold>
                </td>
                <td>
                  <bold>26 (34.6)</bold>
                </td>
                <td>
                  <bold>4 (5.3)</bold>
                </td>
                <td>
                  <bold>25 (43.9)</bold>
                </td>
                <td>
                  <bold>12 (21.1)</bold>
                </td>
                <td>
                  <bold>18 (31.6)</bold>
                </td>
                <td>
                  <bold>2 (3.5)</bold>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Biochemical and Inflammatory Parameters at Enrollment</title>
        <p>Initial biochemical evaluation of the 75 undernourished patients revealed significant abnormalities:</p>
        <p>Electrolyte imbalances: hyperkalemia in 28%, hyponatremia in 32%, hypochloremia in 29%, hypocalcemia in 9.33%, and hypercalcemia in 8%.Acute inflammatory syndrome: 46.67% of patients had a CRP &gt; 6 mg/L, 42.66% had elevated alpha-1 and/or alpha-2 glycoproteins, and 68% had hypercomplementemia.Chronic inflammatory syndrome: 72% had hypergammaglobulinemia.Bioelectrical impedance analysis: At least one tissue, fluid, or metabolic index was abnormal in 96% of undernourished patients.</p>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Impact on the Inflammatory State</title>
        <p>After 6 months of consuming the enriched flour, a significant improvement was observed in all inflammatory markers among the 57 subjects who returned for the final follow-up. <bold>Table 3</bold> presents the results, showing the decrease in the proportion of subjects exhibiting an inflammatory (PEI) state after consuming the flour.</p>
      </sec>
      <sec id="sec3dot4">
        <title>3.4. Impact on Biochemical and Anthropometric Parameters</title>
        <p>A total of 13,180 kits were used out of the 25,200 planned for the initial cohort of 75 patients over a 6-month period, representing an overall utilization rate of 52.30%. <bold>Table 4</bold> presents the comparative results before and after the intervention </p>
        <p><bold>Table 3.</bold> Impact of consuming enriched flour on inflammatory markers.</p>
        <table-wrap id="tbl3">
          <label>Table 3</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Parameter</bold>
                </td>
                <td>
                  <bold>Before n (%)</bold>
                </td>
                <td>
                  <bold>After n (%)</bold>
                </td>
                <td>
                  <bold>a</bold>
                </td>
                <td>
                  <bold>b</bold>
                </td>
                <td>
                  <bold>c</bold>
                </td>
                <td>
                  <bold>d</bold>
                </td>
                <td>
                  <bold>McNemar</bold>
                  <bold>’</bold>
                  <bold>s p-value</bold>
                </td>
                <td>
                  <bold>Paired OR (95% CI)</bold>
                </td>
              </tr>
              <tr>
                <td>CRP (&gt;6 mg/L)</td>
                <td>28 (49.12%)</td>
                <td>9 (15.79%)</td>
                <td>6</td>
                <td>22</td>
                <td>3</td>
                <td>26</td>
                <td>
                  0.00016* (0.00032
                  <sup>†</sup>
                  )
                </td>
                <td>7.33 (2.20 - 24.50)</td>
              </tr>
              <tr>
                <td>Alpha-1 glycoprotein (&gt;4 g/L)</td>
                <td>25 (43.86%)</td>
                <td>24 (42.11%)</td>
                <td>11</td>
                <td>14</td>
                <td>13</td>
                <td>19</td>
                <td>
                  1.000* (1.000
                  <sup>†</sup>
                  )
                </td>
                <td>1.08 (0.51 - 2.29)</td>
              </tr>
              <tr>
                <td>Alpha-2 glycoprotein (&gt;9 g/L)</td>
                <td>4 (7.02%)</td>
                <td>11 (19.31%)</td>
                <td>2</td>
                <td>2</td>
                <td>9</td>
                <td>44</td>
                <td>
                  0.065* (0.070
                  <sup>†</sup>
                  )
                </td>
                <td>0.22 (0.05 - 1.03)</td>
              </tr>
              <tr>
                <td>Albumin (&lt;35 g/L)</td>
                <td>14 (24.56%)</td>
                <td>2 (3.51%)</td>
                <td>0</td>
                <td>14</td>
                <td>2</td>
                <td>41</td>
                <td>
                  0.00418* (0.006
                  <sup>†</sup>
                  )
                </td>
                <td>7.00 (1.59 - 30.80)</td>
              </tr>
              <tr>
                <td>Beta-2 glycoprotein (5 - 8 g/L)</td>
                <td>39 (68.42%)</td>
                <td>32 (56.14%)</td>
                <td>27</td>
                <td>12</td>
                <td>5</td>
                <td>13</td>
                <td>
                  0.143* (0.146
                  <sup>†</sup>
                  )
                </td>
                <td>2.40 (0.85 - 6.81)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>PEI: pathological inflammatory element. a, b, c, d: cells in the 2 × 2 paired contingency table (before × after). The paired OR is calculated as b/c (discordant pairs), with a 95% CI obtained using the Wald method on a logarithmic scale. *Exact McNemar’s test. <sup>†</sup>McNemar’s <italic>χ</italic><sup>2</sup> test with continuity correction. a: PEI → PEI, b: PEI → Normal, c: Normal → PEI, d: Normal → Normal</p>
        <p><bold>Table 4.</bold> Impact of enriched flour on biochemical and anthropometric parameters.</p>
        <table-wrap id="tbl4">
          <label>Table 4</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Parameters</bold>
                </td>
                <td>
                  <bold>Before (</bold>
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mstyle mathvariant="bold" mathsize="normal">
                        <mml:mover accent="true">
                          <mml:mi>X</mml:mi>
                          <mml:mo>¯</mml:mo>
                        </mml:mover>
                      </mml:mstyle>
                    </mml:math>
                  </inline-formula>
                  <bold>±</bold>
                  <bold>ET)</bold>
                </td>
                <td>
                  <bold>After (</bold>
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mover accent="true">
                        <mml:mi>Y</mml:mi>
                        <mml:mo>¯</mml:mo>
                      </mml:mover>
                    </mml:math>
                  </inline-formula>
                  <bold>± SE)</bold>
                </td>
                <td>
                  <bold>Difference (</bold>
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mover accent="true">
                        <mml:mi>Y</mml:mi>
                        <mml:mo>¯</mml:mo>
                      </mml:mover>
                    </mml:math>
                  </inline-formula>
                  <bold>−</bold>
                  <inline-formula>
                    <mml:math display="inline">
                      <mml:mstyle mathvariant="bold" mathsize="normal">
                        <mml:mover accent="true">
                          <mml:mi>X</mml:mi>
                          <mml:mo>¯</mml:mo>
                        </mml:mover>
                      </mml:mstyle>
                    </mml:math>
                  </inline-formula>
                  <bold>)</bold>
                </td>
                <td>
                  <bold>Rate of change</bold>
                </td>
              </tr>
              <tr>
                <td>Weight (kg)</td>
                <td>39.73 (±1.84)</td>
                <td>40.84 (±1.75)</td>
                <td>+1.11</td>
                <td>+3%</td>
              </tr>
              <tr>
                <td>Upper arm circumference (mm)</td>
                <td>197.05 (±7.68)</td>
                <td>205.48 (±6.12)</td>
                <td>+8.43</td>
                <td>+4%</td>
              </tr>
              <tr>
                <td>MPCT (mm)</td>
                <td>6.63 (±0.26)</td>
                <td>7.40 (±0.28)</td>
                <td>+0.77</td>
                <td>+12%</td>
              </tr>
              <tr>
                <td>Vaso-occlusive crises/month</td>
                <td>1.46 (±0.07)</td>
                <td>0.20 (±0.05)</td>
                <td>−1.26</td>
                <td>−86%</td>
              </tr>
              <tr>
                <td>Serum calcium (mg/L)</td>
                <td>96.73 (±4.81)</td>
                <td>90.08 (±0.89)</td>
                <td>−6.65</td>
                <td>−7%</td>
              </tr>
              <tr>
                <td>Magnesium level (mg/L)</td>
                <td>21.66 (±0.36)</td>
                <td>21.25 (±0.28)</td>
                <td>−0.41</td>
                <td>−2%</td>
              </tr>
              <tr>
                <td>Serum phosphorus (mg/L)</td>
                <td>46.04 (±1.30)</td>
                <td>51.21 (±2.33)</td>
                <td>+5.17</td>
                <td>+11%</td>
              </tr>
              <tr>
                <td>Serum potassium (mmol/L)</td>
                <td>4.91 (±0.11)</td>
                <td>4.88 (±0.17)</td>
                <td>−0.03</td>
                <td>−1%</td>
              </tr>
              <tr>
                <td>Serum sodium (mmol/L)</td>
                <td>135.86 (±0.52)</td>
                <td>134.39 (±1.15)</td>
                <td>−1.47</td>
                <td>−1%</td>
              </tr>
              <tr>
                <td>Chloride (mmol/L)</td>
                <td>98.38 (±0.58)</td>
                <td>98.17 (±0.98)</td>
                <td>−0.21</td>
                <td>0%</td>
              </tr>
              <tr>
                <td>Quantitative CRP (mg/L)</td>
                <td>12.77 (±2.35)</td>
                <td>4.56 (±1.64)</td>
                <td>−8.21</td>
                <td>
                  <bold>−64%</bold>
                </td>
              </tr>
              <tr>
                <td>Albumin (g/L)</td>
                <td>42.64 (±0.46)</td>
                <td>43.66 (±0.48)</td>
                <td>+1.02</td>
                <td>+2%</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p><inline-formula><mml:math><mml:mover accent="true"><mml:mi> X </mml:mi><mml:mo> ¯ </mml:mo></mml:mover></mml:math></inline-formula> : average of the values before adding the flour; <inline-formula><mml:math><mml:mover accent="true"><mml:mi> Y </mml:mi><mml:mo> ¯ </mml:mo></mml:mover></mml:math></inline-formula> : mean of values after consuming the flour.</p>
        <p>for the main biochemical and anthropometric parameters, as well as the frequency of vaso-occlusive crises (n = 57).</p>
      </sec>
      <sec id="sec3dot5">
        <title>3.5. Impact on Body Composition</title>
        <p>The bioelectrical impedance analysis at 6 months revealed significant improvements in body composition (<bold>Table 5</bold>).</p>
        <p><bold>Table 5.</bold> Impact of enriched flour on body composition parameters (N = 57).</p>
        <table-wrap id="tbl5">
          <label>Table 5</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Parameters Assessed</bold>
                </td>
                <td>
                  <bold>Before x (%)</bold>
                  <bold>N = 57</bold>
                </td>
                <td>
                  <bold>After y (%)</bold>
                  <bold>N = 57</bold>
                </td>
                <td>
                  <bold>Difference</bold>
                  <bold>(y-x)</bold>
                </td>
                <td>
                  <bold>Progression</bold>
                </td>
              </tr>
              <tr>
                <td>Good cellular vitality (IAM)</td>
                <td>26 (45.61)</td>
                <td>31 (54.38)</td>
                <td>+5</td>
                <td>+16%</td>
              </tr>
              <tr>
                <td>Very healthy lifestyle (MCA)</td>
                <td>22 (38.60)</td>
                <td>27 (47.37)</td>
                <td>+5</td>
                <td>+19%</td>
              </tr>
              <tr>
                <td>Normal body fat (BF)</td>
                <td>31 (54.39)</td>
                <td>37 (64.91)</td>
                <td>+6</td>
                <td>+14%</td>
              </tr>
              <tr>
                <td>Normal muscle mass (IMM)</td>
                <td>26 (45.61)</td>
                <td>33 (57.89)</td>
                <td>+7</td>
                <td>
                  <bold>+21%</bold>
                </td>
              </tr>
              <tr>
                <td>Normal bone quality (CMO)</td>
                <td>53 (92.98)</td>
                <td>57 (100.0)</td>
                <td>+4</td>
                <td>+7%</td>
              </tr>
              <tr>
                <td>Normal tissue hydration (HMNG)</td>
                <td>33 (57.89)</td>
                <td>33 (57.89)</td>
                <td>0</td>
                <td>0%</td>
              </tr>
              <tr>
                <td>Normal extracellular volume (Ve)</td>
                <td>26 (45.61)</td>
                <td>25 (43.86)</td>
                <td>−1</td>
                <td>−4%</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>x: number of patients in a normal state before consuming the flour kits. y: number of patients in normal condition after taking the flour kits.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p>The objective of this study was to prospectively evaluate the impact of an enriched flour with anti-inflammatory and antioxidant effects, administered as porridge, on the nutritional status of malnourished patients with sickle cell disease being treated at the CNRSD in Lomé, Togo. This objective builds on the previously conducted cross-sectional phase, which had revealed an overall prevalence of malnutrition of 66.1% in this population, thereby justifying the need for a targeted nutritional intervention. The assessment of the nutritional impact of this intervention was based on a multidimensional anthropometric approach combining five complementary indicators: the weight-for-height z-score (W/H), the BMI-for-age z-score (BMI/A), body mass index (BMI), upper arm circumference (UAC), and triceps skinfold thickness (TSFT). This methodological choice is based on the principle that no single indicator can account for all dimensions of nutritional status. In fact, overall body composition indices such as the W/H z-score and BMI tend to underestimate undernutrition in a hypermetabolic population such as that of patients with sickle cell disease, whereas body composition measures, particularly the TSC, allow for earlier detection of depletion of fat reserves [<xref ref-type="bibr" rid="B46">46</xref>][<xref ref-type="bibr" rid="B47">47</xref>]. Defining overall undernutrition as the presence of at least one positive criterion among the five selected indicators was intended to maximize detection sensitivity, at the cost of a possible overestimation of prevalence, which must be interpreted with caution [<xref ref-type="bibr" rid="B48">48</xref>]. Furthermore, the prospective longitudinal follow-up used in this study, unlike a cross-sectional approach, made it possible to establish a temporal relationship between the consumption of enriched flour and changes in nutritional status, thereby strengthening the inferential value of the results obtained. It is within this methodological framework that the results presented here concerning the impact of enriched flour on nutritional status and the occurrence of vaso-occlusive crises in malnourished patients with sickle cell disease followed at the CNRSD are situated.</p>
      <sec id="sec4dot1">
        <title>4.1. Prevalence of Malnutrition: An Alarming Reality in Sub-Saharan Africa</title>
        <p>The prevalence of malnutrition observed in our cohort (66.09%) is consistent with data from the African literature. A systematic review conducted according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) criteria, covering the period 1995-2020, reported that African studies consistently described malnutrition and stunted growth among pediatric and adolescent patients with sickle cell disease, though no robust interventional studies were identified [<xref ref-type="bibr" rid="B9">9</xref>]. In Nigeria, an analysis of data from the Demographic and Health Survey which included neonatal screening for sickle cell disease for the first time showed that the prevalence of stunting and underweight was 55.4% and 38.9%, respectively, among children with sickle cell disease, with a 2.39-fold higher risk of stunting (adjusted OR: 2.39; 95% CI: 1.26 - 4.54) than among children without sickle cell disease [<xref ref-type="bibr" rid="B10">10</xref>]. The prevalence found in the present study exceeds these figures, which can be explained by the inclusion of adults in the cohort and the use of sensitive diagnostic criteria (TSFT, PB, BMI-for-age, weight-for-height z-score) in accordance with WHO recommendations [<xref ref-type="bibr" rid="B9">9</xref>].</p>
        <p>The predominance of TSFT as the most sensitive criterion (58.80%) was notable. This result suggests that malnutrition in our population is primarily of the marastic type, characterized by loss of subcutaneous adipose tissue, which can be explained by chronic hypermetabolism associated with hemolysis and repeated episodes of infection. The imbalance between nutritional intake and requirements in sickle cell disease is well documented, resulting from a combination of increased energy expenditure (hemolysis: 20% - 40% of basal metabolism), reduced food intake during crises, and malabsorption associated with episodes of intestinal ischemia [<xref ref-type="bibr" rid="B8">8</xref>][<xref ref-type="bibr" rid="B11">11</xref>].</p>
      </sec>
      <sec id="sec4dot2">
        <title>4.2. Inflammatory Syndrome: Pathophysiological Mechanisms and Markers Used</title>
        <p>The initial inflammatory profile of our patients (CRP &gt; 6 mg/L: 46.67% of subjects; elevated alpha-glycoproteins: 42.66%; hypercomplementemia: 68%) is characteristic of the acute multifactorial inflammation associated with sickle cell disease. The pathophysiology of this inflammation is based on a vicious cycle involving: the polymerization of HbS leading to erythrocyte sickling, the adhesion of sickled erythrocytes to the vascular endothelium mediated by P-selectin, VCAM-1 (Vascular Cell Adhesion Molecule-1), and integrins, the activation of neutrophils and platelets, followed by the release of pro-inflammatory mediators and free radicals [<xref ref-type="bibr" rid="B5">5</xref>][<xref ref-type="bibr" rid="B6">6</xref>].</p>
        <p>The hypercomplementemia observed in 68% of patients is explained by the fact that free hemin released during hemolysis interacts with complement molecules (C1q, CRP, immunoglobulins), notably activating the classical pathway and leading to increased cleavage of C4 and C3 [<xref ref-type="bibr" rid="B7">7</xref>]. This complement activation sustains endothelial inflammation and contributes to recurrent vascular occlusion.</p>
        <p>CRP, synthesized by the liver under the influence of interleukin-6 (IL-6) and interleukin-1<italic>β</italic> (IL-1<italic>β</italic>), is a sensitive marker of systemic inflammation. In this study, 49.12% of malnourished patients had pathologically elevated CRP at enrollment, with a mean quantitative value of 12.77 (±2.35) mg/L. This level is consistent with a moderate chronic inflammatory state, which is consistent with the presence of recurrent vaso-occlusive episodes and frequent subclinical infections in this population [<xref ref-type="bibr" rid="B5">5</xref>][<xref ref-type="bibr" rid="B7">7</xref>]. Immune responses to these infections lead to hypergammaglobulinemia. Hypergammaglobulinemia (72%) reflects chronic stimulation of the adaptive immune system, secondary to repeated infections and autoimmunization linked to the release of erythrocyte antigens during chronic hemolysis [<xref ref-type="bibr" rid="B7">7</xref>].</p>
      </sec>
      <sec id="sec4dot3">
        <title>4.3. Effects of Enriched Flour on Inflammation: Molecular Mechanisms</title>
        <p>Paired analysis using the McNemar test confirmed a significant improvement in CRP levels, with 22 patients moving from pathological to normal levels compared to only 3 in the opposite direction (p = 0.00016; paired OR = 7.33, 95% CI: 2.20 - 24.50), which is consistent with the expected anti-inflammatory effect of the intervention. In contrast, no significant change was observed for alpha-1-glycoprotein (p = 1.000; matched OR = 1.08, 95% CI: 0.51 - 2.29), with an almost equal number of patients showing improvement (n = 14) and worsening (n = 13).</p>
        <p>Serum albumin showed the most marked improvement among all the protein parameters studied: 14 patients who were hypoalbuminemic at enrollment returned to normal levels at 6 months, compared with only 2 who showed the opposite trend (p = 0.00418; matched OR = 7.00, 95% CI: 1.59 - 30.80), reflecting a significant restoration of visceral protein status. It should be noted that albumin is not solely a nutritional marker: it is also a negative acute-phase protein, whose hepatic synthesis decreases under the influence of IL-6 in favor of positive acute-phase proteins such as CRP, and whose level can also be lowered by increased vascular permeability in an inflammatory context [<xref ref-type="bibr" rid="B49">49</xref>]. In sickle cell disease, where chronic undernutrition and systemic inflammation coexist and are mutually reinforcing, the concurrent improvement in CRP and albumin strengthens the biological coherence of the enriched flour’s combined anti-inflammatory and nutritional effect. Beta-2-glycoprotein showed a comparable favorable trend (27 patients normalized versus 5 who worsened), though it did not reach the threshold for statistical significance (p = 0.143; matched OR = 2.40, 95% CI: 0.85 - 6.81), which may reflect a lack of statistical power rather than an actual absence of effect.</p>
        <p>This discrepancy among markers suggests that acute-phase proteins and visceral proteins do not respond uniformly or synchronously to the nutritional intervention, with CRP and albumin appearing to be more sensitive indicators of short-term changes in this population than alpha-1- and beta-2-glycoprotein. The significant reduction in inflammatory marker s after 6 months of intervention can be explained by the combined and synergistic effects of the bioactive compounds in the flour on the molecular pathways of inflammation.</p>
        <p>Curcumin from <italic>Curcuma longa</italic>is the most well-documented anti-inflammatory compound in the formulation. It exerts its effects by inhibiting the degradation of cytoplasmic Inhibitor of Nuclear Factor kappa-B alpha (I<italic>κ</italic>B<italic>α</italic>) and by reducing the phosphorylation of the transcription factor nuclear factor kappa-B (p65/NF-<italic>κ</italic>B), thereby blocking the transcription of numerous pro-inflammatory cytokines (TNF-<italic>α</italic>, IL-1<italic>β</italic>, IL-6, IL-8) [<xref ref-type="bibr" rid="B50">50</xref>]. At the same time, curcumin inhibits the Mitogen-Activated Protein Kinase (MAPK) pathways Extracellular Signal-Regulated Kinase 1 and 2 (ERK1/2), c-Jun N-terminal Kinase (JNK), and 38 kDa protein (p38), which are involved in the propagation of the inflammatory signal, and activates the Keap1-Nrf2/ARE pathway (Kelch-like ECH-Associated Protein 1/Nuclear factor Erythroid 2-related factor 2/Antioxidant Response Element), which strengthens endogenous antioxidant defenses (superoxide dismutase (SOD), catalase, glutathione) [<xref ref-type="bibr" rid="B50">50</xref>][<xref ref-type="bibr" rid="B51">51</xref>]. In mouse models of sickle cell disease, curcumin has been shown to significantly reduce hyperalgesia, hemolysis, oxidative stress, and inflammation (decreased levels of IL-2, IL-4, IL-6, and monocyte chemoattractant protein-1 (MCP-1)), as well as an improvement in hematological parameters, suggesting a disease-modifying effect [<xref ref-type="bibr" rid="B51">51</xref>].</p>
        <p><italic>Moringa oleifera</italic>also contributes to reducing inflammation by inhibiting the nuclear translocation of NF-<italic>κ</italic>B and upregulating Nrf2, leading to a reduction in the expression of pro-inflammatory genes and an increase in the production of anti-inflammatory cytokines [<xref ref-type="bibr" rid="B52">52</xref>]. An umbrella review of 26 meta-analyses confirmed these effects, attributing moringa’s anti-inflammatory and antioxidant activity to its glucosinolates, flavonoids, and phenolic acids [<xref ref-type="bibr" rid="B53">53</xref>]. In in vitro models, <italic>Moringa oleifera</italic>extracts at 4 mg/mL inhibited HbS sickling by 95.6% (±2.47%), with iron-chelating activity capable of reducing erythrocyte oxidative stress [<xref ref-type="bibr" rid="B54">54</xref>]. Moringa’s high content of antisickling amino acids (phenylalanine, lysine, arginine, histidine, and tryptophan) provides a complementary mechanism of action against HbS polymerization [<xref ref-type="bibr" rid="B54">54</xref>].</p>
        <p>The baobab (<italic>Adansonia digitata</italic>) is an exceptional source of vitamin C (200 - 500 mg/100g, or 7 to 10 times the content of oranges), polyphenols (proanthocyanidins, flavonoids, catechins, tannins), and minerals (calcium, potassium, iron, magnesium, phosphorus, sodium, zinc, and manganese). Among these minerals, zinc is particularly relevant in sickle cell disease due to its documented antisickling activity and its role as a cofactor for superoxide dismutase (SOD), while iron helps correct the iron-deficiency anemia frequently associated with this condition [<xref ref-type="bibr" rid="B55">55</xref>][<xref ref-type="bibr" rid="B56">56</xref>]. These compounds exhibit antioxidant properties (neutralization of reactive oxygen species or free radicals, ROS), anti-inflammatory properties (inhibition of the lipoxygenase and xanthine oxidase pathways), antibacterial properties (bactericidal or bacteriostatic), and analgesic properties (pain-relieving) [<xref ref-type="bibr" rid="B55">55</xref>]. The high vitamin C content of baobab is particularly relevant in sickle cell disease, where erythrocyte oxidative stress is intense and reserves of water-soluble antioxidants are frequently insufficient [<xref ref-type="bibr" rid="B8">8</xref>].</p>
        <p>The soy isoflavones (genistein, daidzein, glycitein) present in the soy component of the formulation are phytoestrogens with well-documented anti-inflammatory and antioxidant properties. They inhibit LPS-induced nitric oxide production (by inhibiting inducible nitric oxide synthase, or iNOS) and reduce pro-inflammatory cytokines (IL-6, IL-8, TNF-<italic>α</italic>, IL-12) in various types of immune cells [<xref ref-type="bibr" rid="B57">57</xref>][<xref ref-type="bibr" rid="B58">58</xref>]. Genistein, which has the highest antioxidant activity among isoflavones, outperforms ascorbate and alpha-tocopherol in protecting cells against oxidative stress. It also inhibits the MAPK/NF-<italic>κ</italic>B pathways and activates the NRF2/HO-1 pathway [<xref ref-type="bibr" rid="B59">59</xref>].</p>
        <p>Sesame contributes through its lignans (sesamin, sesamolin), which exert antioxidant effects by inhibiting lipid peroxidation and modulating antioxidant enzymes.</p>
        <p>This synergistic combination of antioxidant and anti-inflammatory effects among the compounds in the enriched flour explains the extent of the reduction in inflammatory metabolites: pathological quantitative CRP levels decreased from 49.12% to 15.79% of patients (p = 0.0001), quantitative CRP levels decreased from 12.77 to 4.56 mg/L (64%).</p>
      </sec>
      <sec id="sec4dot4">
        <title>4.4. Reduction in Vaso-Occlusive Crises: A Clinically Significant Association</title>
        <p>The 86% reduction in VOCs is the most clinically significant result of this study. This association between improved inflammatory status and reduced VOCs is mechanistically consistent.</p>
        <p>By reducing systemic inflammation (CRP, complement), the enriched flour attenuates endothelial activation and the overexpression of adhesion molecules. Furthermore, the reduction in erythrocyte oxidative stress (vitamins C and E from baobab and moringa, polyphenols, curcumin) improves erythrocyte deformability and reduces their propensity for sickling. This dual anti-inflammatory and antioxidant action is the most likely mechanism to explain the observed reduction in CVOs [<xref ref-type="bibr" rid="B5">5</xref>][<xref ref-type="bibr" rid="B60">60</xref>]. A study conducted in the Democratic Republic of the Congo involving 838 patients documented the relationship between inflammatory status and the frequency of CVOs in an African context, highlighting the importance of integrated care [<xref ref-type="bibr" rid="B11">11</xref>].</p>
      </sec>
      <sec id="sec4dot5">
        <title>4.5. Impact on Body Composition and Biochemical Parameters</title>
        <p>The improvement in normal muscle mass (+21%, from 45.61% to 57.89% of patients) and normal fat mass (+14%) reflects the anabolic effect of soy protein intake on muscle synthesis, combined with the energy provided by corn and the reduction in inflammatory hypercatabolism. These results are particularly significant in sickle cell disease, where muscle wasting is common and contributes to chronic fatigue and low exercise tolerance [<xref ref-type="bibr" rid="B8">8</xref>].</p>
        <p>The normalization of bone quality (BMD) in 100% of patients at 6 months is a remarkable result, likely explained by the combined intake of calcium (baobab: 250 - 655 mg/100g), vitamin D, and protein (soy), as well as by the reduction of chronic inflammation, which promotes osteolysis via osteoclast activation mediated by the Receptor Activator of Nuclear Factor Kappa-B Ligand (RANKL) [<xref ref-type="bibr" rid="B8">8</xref>]. Soy isoflavones (genistein, daidzein), due to their estrogenic activity, may also contribute to the inhibition of bone resorption, as demonstrated in other contexts [<xref ref-type="bibr" rid="B59">59</xref>].</p>
        <p>The increase in serum phosphorus levels (+11%) is consistent with improved intestinal absorption linked to overall nutritional status and a reduction in ischemic episodes in the intestine that contribute to malabsorption. Electrolyte levels (sodium, potassium, chloride) remained relatively stable, suggesting that the enriched flour did not disrupt the patients’ fluid and electrolyte balance.</p>
      </sec>
      <sec id="sec4dot6">
        <title>4.6. Strengths, Limitations, and Future Directions</title>
        <p>The strengths of this study include: its prospective design with pre- and post-intervention assessments, the multimodal nature of the diagnostic tools used (anthropometry, laboratory tests, bioimpedance analysis), the use of a reproducible and accessible locally developed formulation, and the reasonable sample size for an African population with sickle cell disease.</p>
        <p>The main limitations are the absence of a randomized control group (which does not allow for the formal exclusion of a seasonal effect or the impact of standard care on certain parameters). The interpretation of TSFT must be qualified due to the documented fat redistribution in patients with sickle cell disease [<xref ref-type="bibr" rid="B61">61</xref>][<xref ref-type="bibr" rid="B62">62</xref>] and the limitations of predictive equations when applied to general populations [<xref ref-type="bibr" rid="B63">63</xref>]. Furthermore, the lack of specific pro-inflammatory cytokine assays (TNF-<italic>α</italic>, IL-6, IL-1<italic>β</italic>) prevents a precise characterization of the predominant molecular mechanism of action of the flour. The kit utilization rate 43.43% for the initial cohort (n = 75) and 52.30% for the 57 patients who completed follow-up reflects moderate adherence, and the gap between the two groups suggests a selection bias favoring more adherent patients. This adherence level is likely explained by logistical constraints (distance to the center, patient availability), the daily burden of twice- or thrice-daily intake over six months, and progressive sensory fatigue: the initial hedonic evaluation had already shown only a moderate score (6.22 ± 1.55) [<xref ref-type="bibr" rid="B63">63</xref>]"&gt;[<xref ref-type="bibr" rid="B15">15</xref>]; and patients reported a decline in taste, smell, and color appreciation of the porridge by the end of follow-up. This low adherence represents a major limitation, likely to attenuate the true magnitude of the intervention’s effects, and calls for improvement strategies (closer support, organoleptic reformulation) in future similar interventions.</p>
      </sec>
    </sec>
    <sec id="sec5">
      <title>5. Conclusion</title>
      <p>This prospective study demonstrates that a flour fortified with locally sourced ingredients (yellow corn, soybeans, baobab, moringa, turmeric, and sesame), administered as porridge for 6 months to malnourished patients with sickle cell disease in Togo, has a positive and clinically significant impact on nutritional status, the frequency of vaso-occlusive crises, and certain key inflammatory markers, notably CRP and albumin, although this effect was not consistent across all inflammatory parameters studied. These results underscore the critical importance of systematically integrating nutritional management into the overall follow-up protocol for patients with sickle cell disease. The development of fortified flours made from local produce represents an accessible, culturally appropriate, inexpensive, and effective nutritional alternative for improving the quality of life and reducing morbidity in these patients.</p>
    </sec>
    <sec id="sec6">
      <title>Declarations</title>
      <p>All procedures complied with ethical standards and were approved by the Bioethics Committee for Health Research (CBRS) pursuant to Opinion No. 013/2022/CBRS dated May 24, 2022. This research was conducted in accordance with the Declaration of Helsinki.</p>
      <p>Informed consent was obtained from each study participant. The anonymity of the subjects included in this study was preserved. The results obtained in this study were used exclusively for scientific purposes.</p>
    </sec>
    <sec id="sec7">
      <title>Availability of Data and Materials</title>
      <p>All data obtained are presented in the form of tables and figures: counts, medians, standard deviations, and percentages, as well as statistical relationships. Raw data are available from the research organization LASBASE.</p>
    </sec>
    <sec id="sec8">
      <title>Funding</title>
      <p>FAO, KINOME, and NI-RAJOUT for the purchase of ingredients used in the formulation.</p>
    </sec>
    <sec id="sec9">
      <title>Acknowledgements</title>
      <p>The authors extend their warmest thanks to all the patients who agreed to participate in this study, as well as to the staff at the National Sickle Cell Disease Treatment Center in Lomé for their collaboration and support during data collection, and to the Togolese Institute for the production of the flour. The same thanks go to FAO, KINOME, and NI-RAJOUT for purchasing the ingredients used in the flour formulation.</p>
    </sec>
    <sec id="sec10">
      <title>Authors’ Contributions</title>
      <p>Kouassi Kafui Codjo: Report writing, Study design, review, and validation.</p>
      <p>Ouro-bere Tchagbélé: Field survey, report drafting, Corresponding author, review.</p>
      <p>Hezouwe Magnang: Patient recruitment design.</p>
      <p>Bouka Ekpetsi Chantal: Design and sharing of experiences regarding sickle cell disease.</p>
      <p>Paka Essodolom: Review for proofreading.</p>
      <p>Madjalani Hèzouwè: Manuscript revision.</p>
      <p>Tchacondo Tchadjobo: Critical intellectual contribution.</p>
      <p>All authors have read and agreed to the published version of the manuscript.</p>
    </sec>
    <sec id="sec11">
      <title>Abbreviations</title>
      <table-wrap id="tbl6">
        <label>Table 6</label>
        <table>
          <tbody>
            <tr>
              <td>BMD</td>
              <td>Bone Mineral Density</td>
            </tr>
            <tr>
              <td>CNRSD</td>
              <td>National Center for Sickle Cell Disease Reference and Monitoring.</td>
            </tr>
            <tr>
              <td>CRP</td>
              <td>C-Reactive Protein</td>
            </tr>
            <tr>
              <td>VOC</td>
              <td>Vaso-occlusive crises</td>
            </tr>
            <tr>
              <td>IAM</td>
              <td>
                Muscle Adiposity Index
                <bold>or</bold>
                Mass Adiposity Index
              </td>
            </tr>
            <tr>
              <td>BMI</td>
              <td>Body Mass Index,</td>
            </tr>
            <tr>
              <td>MMM</td>
              <td>Muscle Mass Index</td>
            </tr>
            <tr>
              <td>iNOS</td>
              <td>Inducible Nitric Oxide Synthase</td>
            </tr>
            <tr>
              <td>ITRA</td>
              <td>Togolese Institute of Agricultural Research</td>
            </tr>
            <tr>
              <td>HbSS</td>
              <td>Homozygous sickle cell anemia</td>
            </tr>
            <tr>
              <td>HbSC</td>
              <td>Compound heterozygous sickle cell disease</td>
            </tr>
            <tr>
              <td>HMNG</td>
              <td>Hydration of Lean Body Mass</td>
            </tr>
            <tr>
              <td>LPS</td>
              <td>Lipopolysaccharide</td>
            </tr>
            <tr>
              <td>MCA</td>
              <td>Active Cell Mass</td>
            </tr>
            <tr>
              <td>WHO</td>
              <td>World Health Organization</td>
            </tr>
            <tr>
              <td>BP</td>
              <td>Upper arm circumference</td>
            </tr>
            <tr>
              <td>TSFT</td>
              <td>Triceps Skinfold</td>
            </tr>
            <tr>
              <td>TLR-4</td>
              <td>Toll-like receptor 4</td>
            </tr>
            <tr>
              <td>PRISMA</td>
              <td>Preferred reporting items for systematic reviews and meta-analyses.</td>
            </tr>
            <tr>
              <td>Keap1-Nrf2/ARE</td>
              <td>Kelch-like ECH-associated protein 1/Erythropoietic nuclear factor 2-related factor 2/Antioxidant response element</td>
            </tr>
            <tr>
              <td>
                I
                <italic>κ</italic>
                B
                <italic>α</italic>
              </td>
              <td>Nuclear factor kappa B alpha inhibitor</td>
            </tr>
            <tr>
              <td>MAPK</td>
              <td>Mitogen-activated protein kinase</td>
            </tr>
            <tr>
              <td>ERK1/2</td>
              <td>Extracellular signal-regulated kinase 1 and 2</td>
            </tr>
            <tr>
              <td>JNK</td>
              <td>c-Jun N-terminal kinase</td>
            </tr>
            <tr>
              <td>p38</td>
              <td>38 kDa protein</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
  </body>
  <back>
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