<?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">OJGen</journal-id><journal-title-group><journal-title>Open Journal of Genetics</journal-title></journal-title-group><issn pub-type="epub">2162-4453</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojgen.2024.141002</article-id><article-id pub-id-type="publisher-id">OJGen-131879</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Frequency of the C677T Polymorphism of MTHFR, G20210A of Prothrombin and R506Q of Factor V Leiden in Type 2 Diabetics in Abidjan
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>N’Guessan-Blao</surname><given-names>Rebecca</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yapo</surname><given-names>Vincent</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yayo-Ayé</surname><given-names>Mireille</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Adjambri</surname><given-names>Eusèbe</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Koné-Koné</surname><given-names>Fatoumata</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sawadogo</surname><given-names>Duni</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Hematology and General Biology Unit, Faculty of Pharmaceutical and Biological Sciences, Department of Biological Sciences, Felix Houphouet-Boigny University, Abidjan, Ivory Coast</addr-line></aff><aff id="aff1"><addr-line>Laboratory of Biology and Medical Research, National Institute of Public Health (INSP), Abidjan, Ivory Coast</addr-line></aff><aff id="aff2"><addr-line>Molecular Biology Unit, Center for Diagnosis and Research on AIDS and Other Infectious Diseases (CeDReS), Treichville University Hospital (CHU), Abidjan, Ivory Coast</addr-line></aff><pub-date pub-type="epub"><day>21</day><month>03</month><year>2024</year></pub-date><volume>14</volume><issue>01</issue><fpage>13</fpage><lpage>25</lpage><history><date date-type="received"><day>3,</day>	<month>January</month>	<year>2024</year></date><date date-type="rev-recd"><day>18,</day>	<month>March</month>	<year>2024</year>	</date><date date-type="accepted"><day>21,</day>	<month>March</month>	<year>2024</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  In Africa, the prevalence of diabetes is escalating and remains a concern due to the numerous complications it causes. Vascular damage associated with diabetes leads to a prothrombotic state observed in diabetic individuals. Diabetes is a complex and multifactorial disease involving genetic components. With the aim of preventing complications and contributing to an efficient management of diabetes, we investigated genes likely to lead to a risk of thrombosis, in particular the C677T of MTHFR, G20210A of prothrombin, and R506Q of factor V Leiden in type 2 diabetics in Abidjan receiving ambulatory care. A descriptive cross-sectional study was carried out on consenting type 2 diabetic patients. Mutation detection was carried out using the PCR-
  RFLP method employing restriction enzymes. Hemostasis tests (fibrinogen, D-dimers, fibrin monomers, and von Willebrand factor) were performed using citrate tubes on the Stage? Star Max automated system. Plasminogen activator inhibitor was assayed by ELISA method, and biochemical parameters were determined using the COBAS C311. The study population consisted of 45 diabetic patients, 51.1% of whom presented vascular complications, mainly neuropathy. Disturbances in hemostasis parameters were observed, with 15.5% of patients showing an increase in fibrin monomers. Mutation analysis revealed an absence of factor V mutation (factor V Leiden) and of G20210A mutation of the prothrombin gene. However, 15.6% of subjects had a heterozygous C677T mutation of MTHFR, with 57% of them being anemic. The exploration of biological and genetic factors associated with thrombotic risk is of significant interest in the optimal management of African type 2 diabetics.
 
</p></abstract><kwd-group><kwd>Type 2 Diabetes</kwd><kwd> C677T of MTHFR</kwd><kwd> G20210A</kwd><kwd> Factor V Leiden</kwd><kwd> Thrombosis</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Diabetes is a complex and multifactorial disease involving both environmental and genetic components [<xref ref-type="bibr" rid="scirp.131879-ref1">1</xref>] . It is a chronic disease, and the number of individuals affected by it continues to rise over the years. Type 2 diabetes is the most common type [<xref ref-type="bibr" rid="scirp.131879-ref2">2</xref>] . In 2021, according to the International Diabetes Federation (IDF), the estimated number of people with diabetes was 537 million, resulting in 6.7 million deaths. Prevalence estimates for 2030 project 643 million affected individuals worldwide, increasing to 783 million by 2045 [<xref ref-type="bibr" rid="scirp.131879-ref3">3</xref>] .</p><p>While diabetes was long considered a condition of affluent nations, it has now become a concern in developing countries due to the numerous complications it brings, including stroke, diabetic foot, retinopathy, nephropathy, and more [<xref ref-type="bibr" rid="scirp.131879-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref5">5</xref>] . Diabetes complications result from both microvascular and macrovascular damage, consequences of insulin resistance and chronic hyperglycemia seen in diabetes [<xref ref-type="bibr" rid="scirp.131879-ref6">6</xref>] . Indeed, diabetic individuals are at high risk of thrombosis, which, in turn, contributes to cardiovascular diseases [<xref ref-type="bibr" rid="scirp.131879-ref7">7</xref>] . Atherothrombosis is the primary cause of morbidity and mortality in patients with diabetes mellitus [<xref ref-type="bibr" rid="scirp.131879-ref8">8</xref>] . It accounts for 80% of deaths and manifests as vascular and/or cardiovascular complications [<xref ref-type="bibr" rid="scirp.131879-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref10">10</xref>] .</p><p>The advent of molecular biology techniques made it possible to identify genetic mutations that may predispose diabetic patients to thrombotic risk [<xref ref-type="bibr" rid="scirp.131879-ref11">11</xref>] . Mutations such as C677T in the methylenetetrahydrofolate reductase (MTHFR) gene, the G20210A mutation in the prothrombin gene and R506Q mutation in the factor V Leiden have been described [<xref ref-type="bibr" rid="scirp.131879-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref12">12</xref>] .</p><p>Polymorphisms in MTHFR have already been associated with type 2 diabetes and some of its complications [<xref ref-type="bibr" rid="scirp.131879-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref15">15</xref>] . A gene polymorphism results in reduced enzymatic activity of methylenetetrahydrofolate reductase, leading to decreased homocysteine metabolism and causing hyperhomocysteinemia [<xref ref-type="bibr" rid="scirp.131879-ref16">16</xref>] . Hyperhomocysteinemia causes dysfunction of the vascular endothelium, activates the coagulation system and inhibits the fibrinolytic system, thereby leading to a risk of thrombosis [<xref ref-type="bibr" rid="scirp.131879-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref18">18</xref>] .</p><p>The G20210A mutation in the prothrombin gene leads to a gain of function resulting in elevated thrombin levels [<xref ref-type="bibr" rid="scirp.131879-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref20">20</xref>] . Thrombin converts fibrinogen into fibrin, promoting the formation of blood clots which leads to hyper-coagulability of the blood. The mutated factor V Leiden is less sensitive to inactivation by activated protein C, contributing to thrombotic risk as well. Taking all of the above into consideration, we aimed to conduct a preliminary.</p></sec><sec id="s2"><title>2. Material and Methods</title><p>A descriptive cross-sectional study was conducted at the Anti-Diabetic Center of Abidjan (CADA) where patients were recruited. Biological analyses were performed at the Medical Biology Laboratory of the National Institute of Public Health (INSP) and the Molecular Biology Unit of the Center for Diagnosis and Research on AIDS and other Infectious Diseases (CeDReS) at the University Hospital Center of Treichville (CHUT) in Abidjan, C&#244;te d’Ivoire, for the PCR-RFLP technique.</p><p>The study population consisted of randomly selected fasting type 2 diabetic patients of all genders attending consultations at CADA. Informed consent was obtained from the patients after providing them with all relevant study These patients were randomly included patients with confirmed type 2 diabetes care for at CADA. Sociodemographic, clinical, and biological data were collected using a survey form. A unique code was assigned to each patient to ensure confidentiality.</p><p>Venous blood was obtained from the elbow crease in different tubes, one with ethylenediaminetetraacetic acid (EDTA), one containing 3.2% trisodium citrate and one tube with a red cap containing a coagulation activator.</p><p>The measurement of blood glucose, total cholesterol, HDL cholesterol, LDL cholesterol, and triglycerides was performed using the Roche Cobas C311 automated analyzer from the anticoagulant-free tube (red tip). Prothrombin time (PT), activated partial thromboplastin time (aPTT), fibrinogen, D-dimers, fibrin monomers, and von Willebrand factor were measured using citrated tubes on the Stago’s Star Max automated system.</p><p>Plasminogen activator inhibitor was assayed using the ELISA method. A portion of the total blood collected in EDTA tubes was used for a complete blood count (hemogram) and the measurement of glycated hemoglobin. The second part was allotted in cryotubes and stored at −80˚C for subsequent PCR-RFLP. This technique combines amplification of specific fragments with the use of endonucleases called restriction enzymes, which recognize and cleave specific DNA sequences. The HIND III restriction enzyme was used to detect the G20210A mutation and factor V leiden. HINF 1 was used for the C677T mutation.</p><p>After thawing at room temperature, the total blood was used for genomic DNA extraction with the Qiagen QIAmp DNA Blood Mini kit. Genomic DNA extracts were amplified using two PCRs with three pairs of sense and antisense primers specific for prothrombin, MTHFR and factor V Leiden. Amplification products underwent enzymatic digestion with Hind III and Hinf I for 16 hours at 37˚C in a Marie sec bath. Enzymatic restriction products were resolved on a 1.5% agarose gel. After the enzymatic restriction, the PCR generated a band of 384 bp, 209 bp and 175 bp respectively for the G20210A, R506Q and C677T mutations.</p><sec id="s2_1"><title>2.1. Ethical Considerations</title><p>The study was approved by all relevant scientific authorities in the participating centers. Informed consent was collected prior to the inclusion in the study.</p></sec><sec id="s2_2"><title>2.2. Data Analysis and Processing</title><p>Data processing was carried out using IBM SPSS Statistics 22 software. The results are presented in the form of tables. Quantitative variables are displayed as mean &#177; standard deviation and in proportion.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Sociodemographic Characteristics of Type 2 Diabetic Patients</title><p>The study population consisted of 45 diabetic individuals with a mean age of 53 years. Females predominated, with a sex ratio of 0.4, and most of them lived in couples. The main activity carried out by diabetic individuals was self-employment (35.5%), and 26.6% of diabetics were unemployed.</p></sec><sec id="s3_2"><title>3.2. Clinical Characteristics</title><p>Half of the patients had been diabetic for less than 5 years and presented glycemic imbalance. Forty percent of the patients were overweight, and complications were predominantly characterized by neuropathies. Over 70% of patients had a cardiovascular risk factor (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s3_3"><title>3.3. Biological Parameters</title><p>On average, patients had hyperglycemia, increased fibrin monomers, antigen and Willebrand factor activity (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>All the hemostasis parameters were disturbed, except for TCa and TQ (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of patients according to clinicals characteristics of patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="2"  >Clinical characteristics</th></tr></thead><tr><td align="center" valign="middle" >Frequency (n)</td><td align="center" valign="middle" >Percentage (%)</td></tr><tr><td align="center" valign="middle" >Diabetes duration</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;5 years</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >51.1</td></tr><tr><td align="center" valign="middle" >5 - 10 years</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >22.2</td></tr><tr><td align="center" valign="middle" >&gt;10 years</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >26.3</td></tr><tr><td align="center" valign="middle" >Blood glucose monitoring</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Imbalanced</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >49.9</td></tr><tr><td align="center" valign="middle" >Balanced</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >51.1</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Body Mass Index</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >33.3</td></tr><tr><td align="center" valign="middle" >Moderate obesity</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >13.3</td></tr><tr><td align="center" valign="middle" >Severe obesity</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2.2</td></tr><tr><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >40.0</td></tr><tr><td align="center" valign="middle" >Unknown</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >11.1</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >High blood pressure</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >53.3</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >40.0</td></tr><tr><td align="center" valign="middle" >Unknown</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >6.7</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Type of complications</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Absence</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >48.9</td></tr><tr><td align="center" valign="middle" >Neuropathy</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >17.8</td></tr><tr><td align="center" valign="middle" >Nephropathy</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >4.4</td></tr><tr><td align="center" valign="middle" >Retinopathy</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >4.4</td></tr><tr><td align="center" valign="middle" >Diabetic foot</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >6.7</td></tr><tr><td align="center" valign="middle" >Stroke</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >6.7</td></tr><tr><td align="center" valign="middle" >Others</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2.2</td></tr><tr><td align="center" valign="middle" >Unknown</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >8.9</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >cardiovascular risk factors (FDR)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >None</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >22.2</td></tr><tr><td align="center" valign="middle" >1 FDR</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >35.6</td></tr><tr><td align="center" valign="middle" >2 FDR</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >40.0</td></tr><tr><td align="center" valign="middle" >3 FDR</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >4.4</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Mean values of biological parameters</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >Mean</th><th align="center" valign="middle" >SD</th><th align="center" valign="middle" >Min</th><th align="center" valign="middle" >Max</th></tr></thead><tr><td align="center" valign="middle" >Blood sugar (g/l)</td><td align="center" valign="middle" >1.52</td><td align="center" valign="middle" >0.78</td><td align="center" valign="middle" >0.34</td><td align="center" valign="middle" >3.62</td></tr><tr><td align="center" valign="middle" >HbA1C (%)</td><td align="center" valign="middle" >8.38</td><td align="center" valign="middle" >2.8</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >19</td></tr><tr><td align="center" valign="middle" >Uremia (g/l)</td><td align="center" valign="middle" >0.27</td><td align="center" valign="middle" >0.17</td><td align="center" valign="middle" >0.10</td><td align="center" valign="middle" >1.05</td></tr><tr><td align="center" valign="middle" >Creatininemia (mg/l)</td><td align="center" valign="middle" >9.15</td><td align="center" valign="middle" >4.6</td><td align="center" valign="middle" >4.3</td><td align="center" valign="middle" >27.7</td></tr><tr><td align="center" valign="middle" >Cholesterolemia (g/l)</td><td align="center" valign="middle" >1.96</td><td align="center" valign="middle" >0.57</td><td align="center" valign="middle" >0.98</td><td align="center" valign="middle" >3.43</td></tr><tr><td align="center" valign="middle" >Triglyceridemia (g/l)</td><td align="center" valign="middle" >1.15</td><td align="center" valign="middle" >0.53</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >2.81</td></tr><tr><td align="center" valign="middle" >HDL Cholesterol (g/l)</td><td align="center" valign="middle" >0.54</td><td align="center" valign="middle" >0.15</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >0.9</td></tr><tr><td align="center" valign="middle" >LDL Cholesterol (g/l)</td><td align="center" valign="middle" >1.19</td><td align="center" valign="middle" >0.53</td><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >2.6</td></tr><tr><td align="center" valign="middle" >Prothrombin ratio (%)</td><td align="center" valign="middle" >96</td><td align="center" valign="middle" >4.65</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Activated Partial Thromboplastin Time (s)</td><td align="center" valign="middle" >33.69</td><td align="center" valign="middle" >4.21</td><td align="center" valign="middle" >26.2</td><td align="center" valign="middle" >51.1</td></tr><tr><td align="center" valign="middle" >Fibrinogenemia (g/l)</td><td align="center" valign="middle" >4.17</td><td align="center" valign="middle" >0.89</td><td align="center" valign="middle" >2.44</td><td align="center" valign="middle" >6.75</td></tr><tr><td align="center" valign="middle" >Fibrin monomers (ug/ml)</td><td align="center" valign="middle" >12.36</td><td align="center" valign="middle" >22.57</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >116.</td></tr><tr><td align="center" valign="middle" >D-dimers (ug/ml)</td><td align="center" valign="middle" >0.56</td><td align="center" valign="middle" >0.46</td><td align="center" valign="middle" >0.27</td><td align="center" valign="middle" >2.63</td></tr><tr><td align="center" valign="middle" >PAI (ng/ml)</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >9.89</td><td align="center" valign="middle" >3.51</td><td align="center" valign="middle" >44.3</td></tr><tr><td align="center" valign="middle" >vWF: Ag (%)</td><td align="center" valign="middle" >186.47</td><td align="center" valign="middle" >73.86</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >420</td></tr><tr><td align="center" valign="middle" >vWF: AC (%)</td><td align="center" valign="middle" >160</td><td align="center" valign="middle" >51.4</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >334</td></tr></tbody></table></table-wrap><p>We observed an absence of the G20210 mutation in the prothrombin gene and the R506Q mutation in factor V for the entire population. The mutation C677T in the MTHFR gene was observed in 15.6% of the subjects in the heterozygous form (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>6/7 of patients had diabetes for less than 5 years. 4/7 of patients were overweight (<xref ref-type="table" rid="table4">Table 4</xref>).</p><p>All patients with a mutation exhibited erythrocyte abnormalities, with 4 out of 7 patients experiencing anemia. Additionally, 4 out of 7 patients had elevated levels of fibrinogen, von Willebrand factor antigen, and activity (<xref ref-type="table" rid="table5">Table 5</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Diabetes and its complications represent a major public health challenge. given the growing number of diabetics and the numerous vascular complications it causes [<xref ref-type="bibr" rid="scirp.131879-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref21">21</xref>] . Diabetic patients have an increased risk of developing thromboembolic diseases as the diabetic state contributes to their occurrence [<xref ref-type="bibr" rid="scirp.131879-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref22">22</xref>] . Thrombotic pathologies are multifactorial and polygenic [<xref ref-type="bibr" rid="scirp.131879-ref23">23</xref>] . This preliminary study conducted in 45 type 2 diabetic patients sought to identify susceptibility genes for thrombosis (C677T of MTHFR. factor V Leiden. and the G20210A mutation in the prothrombin gene) in these outpatient-followed patients [<xref ref-type="bibr" rid="scirp.131879-ref24">24</xref>] .</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Frequency of mutations in the study population</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="3"  >Frequency of mutations</th></tr></thead><tr><td align="center" valign="middle" >Absence of mutation</td><td align="center" valign="middle" >Homozygous mutations</td><td align="center" valign="middle" >Heterozygous</td></tr><tr><td align="center" valign="middle" >G20210A</td><td align="center" valign="middle" >45 (100%)</td><td align="center" valign="middle" >0 (0%)</td><td align="center" valign="middle" >0 (0%)</td></tr><tr><td align="center" valign="middle" >R506Q</td><td align="center" valign="middle" >45 (100%)</td><td align="center" valign="middle" >0 (0%)</td><td align="center" valign="middle" >0 (0%)</td></tr><tr><td align="center" valign="middle" >C677T</td><td align="center" valign="middle" >38 (84.4%)</td><td align="center" valign="middle" >0 (0%)</td><td align="center" valign="middle" >7 (15.6%)</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Description of diabetic patients with MTHFR C677T mutation according to clinical and biochemical parameters</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Sex</th><th align="center" valign="middle" >Age (years)</th><th align="center" valign="middle" >Profession</th><th align="center" valign="middle" >Marital status</th><th align="center" valign="middle" >Diabetes duration</th><th align="center" valign="middle" >Complications</th><th align="center" valign="middle" >FDR</th><th align="center" valign="middle" >Obesity</th><th align="center" valign="middle" >Blood glucose level</th><th align="center" valign="middle" >HbA1C</th></tr></thead><tr><td align="center" valign="middle" >M</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >Retired</td><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >&gt;10 years</td><td align="center" valign="middle" >Diabetic foot</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Balanced</td></tr><tr><td align="center" valign="middle" >M</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >Worker</td><td align="center" valign="middle" >In couple</td><td align="center" valign="middle" >&lt;5 years</td><td align="center" valign="middle" >None</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Hyperglycemia</td><td align="center" valign="middle" >Imbalanced</td></tr><tr><td align="center" valign="middle" >F</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >Unemployed</td><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >&lt;5 years</td><td align="center" valign="middle" >None</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Balanced</td></tr><tr><td align="center" valign="middle" >F</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >Self-employed</td><td align="center" valign="middle" >Widow</td><td align="center" valign="middle" >&lt;5 years</td><td align="center" valign="middle" >None</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Balanced</td></tr><tr><td align="center" valign="middle" >F</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >&lt;5 years</td><td align="center" valign="middle" >Nephropathy</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Balanced</td></tr><tr><td align="center" valign="middle" >F</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >Unemployed</td><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >&lt;5 years</td><td align="center" valign="middle" >Neuropathy</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Balanced</td></tr><tr><td align="center" valign="middle" >F</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >Self-employed</td><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >&lt;5 years</td><td align="center" valign="middle" >None</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Hyperglycemia</td><td align="center" valign="middle" >Imbalanced</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Distribution of diabetics with the MTHFR C677T mutation according to erythrocyte and haemostasis parameters</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Sex</th><th align="center" valign="middle" >Erythrocyte parameters</th><th align="center" valign="middle" >Fg (g/l)</th><th align="center" valign="middle" >DD (ug/ml)</th><th align="center" valign="middle" >MF (ug/ml)</th><th align="center" valign="middle" >PAI (ng/ml)</th><th align="center" valign="middle" >vWF: Ag</th><th align="center" valign="middle" >vWF: Ac</th></tr></thead><tr><td align="center" valign="middle" >M</td><td align="center" valign="middle" >NMA*</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Increased</td></tr><tr><td align="center" valign="middle" >M</td><td align="center" valign="middle" >Hypochromia</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Increased</td></tr><tr><td align="center" valign="middle" >F</td><td align="center" valign="middle" >Hypochromia</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Increased</td></tr><tr><td align="center" valign="middle" >F</td><td align="center" valign="middle" >A* Hypochromia</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td></tr><tr><td align="center" valign="middle" >F</td><td align="center" valign="middle" >NMA*</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Increased</td></tr><tr><td align="center" valign="middle" >F</td><td align="center" valign="middle" >NMA*</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td></tr><tr><td align="center" valign="middle" >F</td><td align="center" valign="middle" >AHM*</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td></tr></tbody></table></table-wrap><p>*A: Anemia, NMA: Normochromic Microcytic Anemia, MHA: Microcytic Hypochromic Anemia.</p><p>The mean age of this study population was 53 years with a predominance of females. These observations align with similar African studies carried out in Senegal and Algeria [<xref ref-type="bibr" rid="scirp.131879-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref25">25</xref>] . Age is considered an important risk factor for thrombosis and its incidence is higher in the elderly than in the young, which may be explained by reduced mobility, decreased muscle tone, aging veins and above all the acquisition of risk-increasing diseases such as type 2 diabetes [<xref ref-type="bibr" rid="scirp.131879-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref27">27</xref>] . In this study, more than half the diabetic patients had a diabetes duration of less than 5 years and presented complications. Neuropathy was predominant. Diabetes duration exceeding 5 years increases the likelihood of complications [<xref ref-type="bibr" rid="scirp.131879-ref28">28</xref>] . In our countries, diabetes screening is often delayed as patients seek consultation when clinical signs are already evident, which reflect a poor estimation of this duration. In Africa, several authors have described the prevalence of microvascular complications as observed in this study [<xref ref-type="bibr" rid="scirp.131879-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref29">29</xref>] . Cardiovascular risk factors, including arterial hypertension and obesity, were found in 40% and 15.5%, respectively. Nearly 40% of patients were overweight. These parameters vary in frequency in several African studies, although they are frequently encountered risk factors in diabetes [<xref ref-type="bibr" rid="scirp.131879-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref30">30</xref>] . Chronic hyperglycemia in diabetes is responsible for vascular damage that can lead to platelet activation and initiate coagulation. Additionally, glycemic imbalance also exposes the patient to a thrombotic risk [<xref ref-type="bibr" rid="scirp.131879-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref32">32</xref>] . The control of glycated hemoglobin, a predictive marker of diabetic complications, is closely linked to the prevention of micro- and macrovascular complications in diabetes [<xref ref-type="bibr" rid="scirp.131879-ref31">31</xref>] . This glycemic imbalance was observed in our study population with an HbA1C level of 8.38%. An HbA1C value higher than 7% is known as a factor for thrombotic events in diabetes [<xref ref-type="bibr" rid="scirp.131879-ref33">33</xref>] . The study of hemostasis parameters has revealed a disturbance in these parameters, indicating coagulation activation in diabetic patients. Fibrin monomers, early markers of coagulation activation, found at an early stage of thrombotic disease, were increased in 15.5% of patients [<xref ref-type="bibr" rid="scirp.131879-ref33">33</xref>] . This observation underscores the importance of early assessment of thrombotic risk to ensure better management of complications. Fibrinogen and von Willebrand factor were elevated in more than half of the patients. Chronic inflammation can be both the cause and consequence of endothelial dysfunction, promoting coagulation activation. This increase in pro-inflammatory proteins especially fibrinogen and Willebrand factor has already been described by some authors [<xref ref-type="bibr" rid="scirp.131879-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref35">35</xref>] . The Willebrand factor is an important indicator of endothelial dysfunction. All these findings support coagulation activation and hence to a risk of thrombosis that contributes to vascular complications in diabetic patients [<xref ref-type="bibr" rid="scirp.131879-ref36">36</xref>] .</p><p>The search for genetic markers revealed an absence of factor V leiden and the G20210A mutation of the prothrombin gene in the study population. The mutated allele of the prothrombin gene was not found in our patients—these results are similar to previous studies in Africa [<xref ref-type="bibr" rid="scirp.131879-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref38">38</xref>] but contrary to studies carried out in Algeria which found this mutated gene in their study population [<xref ref-type="bibr" rid="scirp.131879-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref40">40</xref>] . We noted an absence of the factor V mutation in our type 2 diabetic patients. The absence of this mutation should prompt discussion of the presence of other factor V mutations such as the Cambridge or Hong Kong mutations and their possible involvement in thrombosis occurrence [<xref ref-type="bibr" rid="scirp.131879-ref41">41</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref42">42</xref>] . Factor V mutations account for around 1% of the black American and African people, while the G20210A mutation in the prothrombin gene is rare in the African population [<xref ref-type="bibr" rid="scirp.131879-ref43">43</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref44">44</xref>] . Studies on the frequency of these mutations in our population in general and in the diabetic population in particular will enable us to corroborate or identify specificities in our diabetic patients. The heterozygous C677T mutation of the MTHFR gene was found in 7 patients (15.5%). This observation is similar to a Tunisian study which found this mutation in diabetic patients. The heterozygous C677T mutation of the MTHFR gene was found in 7 patients (15.5%). This observation is similar to a Tunisian study that found this mutation in diabetic patients. This prevalence was positively associated with hyperhomocysteinemia. This association between hyperhomocysteinemia and heterozygous genotype is more pronounced in diabetics with nephropathy [<xref ref-type="bibr" rid="scirp.131879-ref45">45</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref46">46</xref>] . Analysis of the clinical and biological parameters in the 7 diabetic patients with the C677T mutation shows that 6 out of 7 of these patients have had diabetes for less than 5 years. 4 out of 7 are overweight and 3/7 experiencing microvascular complication. Early detection of this mutation in a diabetic population will contribute to a better understanding of the pathophysiological mechanisms of diabetes. All 7 patients had normochromic normocytic anemia (3/7) and hypochromic anemia (4/7). In Pandya’s study, patients with iron-deficiency anemia and the C677T genetic marker for thrombosis had lower hemoglobin levels and hematimetric constants compared to those without the genetic marker [<xref ref-type="bibr" rid="scirp.131879-ref47">47</xref>] . This avenue should be explored in order to determine whether anemia, and in particular iron-deficiency anemia could be used to search for a C677T mutation in diabetics. The association between the C677T polymorphism and the risk of developing type 2 diabetes, as well as with complications, has already been reported in the literature [<xref ref-type="bibr" rid="scirp.131879-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref48">48</xref>] , although this assertion is controversial as some studies conducted in Germany and Turkey found no association [<xref ref-type="bibr" rid="scirp.131879-ref49">49</xref>] [<xref ref-type="bibr" rid="scirp.131879-ref50">50</xref>] . It seems appropriate to investigate this mutation in a larger sample in order to identify specificities in the Black population in general and particularly in the Ivorian population. This can be achieved by determining the frequency of these mutations and exploring a potential link between gene polymorphisms and the occurrence of complications in diabetic individuals.</p></sec><sec id="s5"><title>5. Conclusion</title><p>This preliminary study conducted among outpatient type 2 diabetic individuals seen on an outpatient basis to investigate susceptibility genes for thrombosis revealed the presence of the C677T mutation in 15.5% of patients alongside disturbances in hemostasis parameters. The exploration of biological and genetic factors related to thrombotic risk holds significant interest in the knowledge and efficient management of black African type 2 diabetic patients.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We would like to express our sincere thanks to the people in charge of the different services for the care of diabetic patients, to the diabetic patients who agreed to participate in this study and to all the staff of the haematology laboratory of the University Hospital of Nimes (France).</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Rebecca, N.-B., Vincent, Y., Mireille, Y.-A., Eus&#232;be, A., Fatoumata, K.-K. and Duni, S. (2024) Frequency of the C677T Polymorphism of MTHFR, G20210A of Prothrombin and R506Q of Factor V Leiden in Type 2 Diabetics in Abidjan. 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