<?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">OJOG</journal-id><journal-title-group><journal-title>Open Journal of Obstetrics and Gynecology</journal-title></journal-title-group><issn pub-type="epub">2160-8792</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojog.2021.116070</article-id><article-id pub-id-type="publisher-id">OJOG-109910</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Placenta Growth Factor and Soluble Fms-Like Tyrosine Kinase 1 in Preeclampsia and Normotensive Pregnant Nigerian Women
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abidoye</surname><given-names>Gbadegesin</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>Joy</surname><given-names>O. Agbara</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kabiru</surname><given-names>A. Rabiu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Adekunle</surname><given-names>A. Sobande</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Madinah</surname><given-names>A. Azeez</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Obstetrics and Gynaecology, Lagos State University Teaching Hospital, Ikeja, Lagos, Nigeria</addr-line></aff><pub-date pub-type="epub"><day>04</day><month>06</month><year>2021</year></pub-date><volume>11</volume><issue>06</issue><fpage>753</fpage><lpage>762</lpage><history><date date-type="received"><day>11,</day>	<month>May</month>	<year>2021</year></date><date date-type="rev-recd"><day>15,</day>	<month>June</month>	<year>2021</year>	</date><date date-type="accepted"><day>18,</day>	<month>June</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: Preeclampsia (PE) is still one of the leading causes of maternal/perinatal morbidity/mortality in Nigeria. Imbalance between placenta growth factor (PLGF) and soluble fms-like tyrosine kinase 1 (sFlt1) has been reportedly present both before and after the manifestation 
  of 
  PE; however, Nigerian data regarding these angiogenesis-related substances are lacking. We here attempted to determine the maternal serum level of PLGF and sFlt1 and sFlt1/PLGF ratio in PE vs. non-PE women in Lagos State University Teaching Hospital, Nigeria.
   
  Methods: An observational cross-sectional study was made on 75 women with PE and 75 age-gestational-age matched women without PE, as case and control, respectively. Levels of sFlt-1, PIGF and the sFlt-1: PIGF ratio was compared between the two. Results: Serum levels of Flt-1 and sFlt1/PIGF ratio were significantly higher in PE patients (6581.86 &#177; 865.75, and 146.42 &#177; 92.43) than in the normotensive control (4584.52 &#177; 1479.6 and 11.60 &#177; 6.42). PIGF was significantly lower in PE patients (70.14 &#177; 51.03) than the normotensives (494.06 &#177; 475.8). There were positive and negative correlation
  s
   between the sFlt-1 and PLGF respectively and mean arterial blood pressure. Conclusion: Serum sFlt-1, sFlt1/PIGF ratio was significantly higher and PIGF levels 
  were 
  significantly lower in PE than normotensive control in Nigerian population
  .
 
</p></abstract><kwd-group><kwd>Preeclampsia</kwd><kwd> Soluble Fms-Like Tyrosine Kinase 1 (sFlt-1)</kwd><kwd> Placental Growth Factor (PlGF)</kwd><kwd> Pregnancy</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Background</title><p>Pre-eclampsia is a multifactorial hypertensive disorder whose pathogenesis is not fully understood. Defective remodeling of the spiral arteries causing hypo-perfusion and systemic dysfunction and a subsequent imbalance of circulating proangiogenic and antiangiogenic factors are considered to be one of the possible aetiology for this disorder [<xref ref-type="bibr" rid="scirp.109910-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref3">3</xref>]. Normal placental angiogenesis is crucial to the development of effective placental perfusion, creating a suitable uterine environment, and ensuring the normal growth of the fetus. Pro-angiogenic factors play a key role in this process [<xref ref-type="bibr" rid="scirp.109910-ref4">4</xref>]. It is currently believed that the imbalance of pro-angiogenic factors and anti-angiogenic factors is one of the pathogenesis of PE, as it can affect the remodeling of uterine spiral arteries and angiogenesis [<xref ref-type="bibr" rid="scirp.109910-ref5">5</xref>]. The proangiogenic proteins vascular endothelial growth factor (VEGF) and placental growth factor (PIGF) are involved in the regulation of placental vascular development and maternal endothelial function during pregnancy [<xref ref-type="bibr" rid="scirp.109910-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref7">7</xref>].</p><p>The soluble variant of VEGF receptor-1 is also known as soluble fms-like tyrosine kinase-1 (sFlt-1) [<xref ref-type="bibr" rid="scirp.109910-ref8">8</xref>]. sFlt1 has become a relevant pathogenic factor for the syndrome PE. Studies have reported an elevation of maternal sFlt1 concentrations in PE which is observed to normalize after delivery [<xref ref-type="bibr" rid="scirp.109910-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref10">10</xref>]. Notably, clinical studies demonstrated that the marked increase of circulatory sFlt1 is observable weeks before the clinical manifestation of preeclampsia [<xref ref-type="bibr" rid="scirp.109910-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref12">12</xref>]. It is also reported that the increased serum levels of sFlt-1, decreased levels of PIGF and resultant increased sFlt-1/PIGF ratio, can be detected in the second half of pregnancy in women diagnosed with pre-eclampsia and in other placenta-related disorders like intra-uterine growth restriction (IUGR) or stillbirth [<xref ref-type="bibr" rid="scirp.109910-ref9">9</xref>]. These alterations are observed to be pronounced in early-onset rather than late-onset disease and are associated with severity of the clinical disorder. Moreover, the disturbances in angiogenic factors are reported to be detectable prior to the onset of clinical symptoms (disease), thereby allowing discrimination of women with normal pregnancies from those at high risk for preeclampsia. Increasing evidences showed that the degree of elevated or declined level of these analytes was correlated with the severity of preeclampsia. A diagnosis of PE based on blood pressure and proteinuria has a positive predictive value of approximately 30% for predicting PE related adverse outcomes [<xref ref-type="bibr" rid="scirp.109910-ref13">13</xref>]. Therefore, estimation of maternal sFlt-1 and PlGF seems to be the most promising serological indicators for diagnosis, especially the sFlt-1/PlGF ratio, which better reflects the antiangiogenic activity and could be used to predict the occurrence and prognosis of preeclampsia. [<xref ref-type="bibr" rid="scirp.109910-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref11">11</xref>] allow identification of affected women at high risk for imminent delivery and prevention of adverse maternal and neonatal outcomes. [<xref ref-type="bibr" rid="scirp.109910-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref16">16</xref>] Combining the sFlt-1/PlGF ratio with uterine artery Doppler ultrasound at the time of diagnosis of early-onset pre-eclampsia is documented to be of prognostic value mainly for perinatal complications, though limited for the prediction of maternal complications [<xref ref-type="bibr" rid="scirp.109910-ref17">17</xref>]. The additional measurement of the sFlt-1/PlGF ratio has been shown to improve the sensitivity and specificity of Doppler measurement in predicting PE [<xref ref-type="bibr" rid="scirp.109910-ref18">18</xref>].</p><p>Of recent, the focus of research is being directed at the role of biochemical markers in the pathogenesis of PE for better understanding of the disease process. One of such markers is the alterations in maternal serum concentrations of anti-angiogenic (sFlt-1) and pro-angiogenic factors (VEGF and PlGF) [<xref ref-type="bibr" rid="scirp.109910-ref11">11</xref>]. Interestingly, the sFlt-1/PlGF ratio has been demonstrated to show better performance than single markers in predicting the risk of PE [<xref ref-type="bibr" rid="scirp.109910-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref20">20</xref>]. The alteration of the balance between concentration of pro-angiogenic factors, VEGF and PIGF, and anti-angiogenic factors like sFlt-1 and Endoglin has been documented in the pathophysiology of preeclampsia [<xref ref-type="bibr" rid="scirp.109910-ref21">21</xref>]. The potential relevance of this imbalance and especially the sFlt-1/PIGF ratio in the diagnosis and prognosis of this disease entity has remained an area of interest with the hope to improve management and feto-maternal outcomes.</p><p>This study aims to assess the levels and association between angiogenic and anti angiogenic factors in PE and normotensive pregnant women receiving care in a tertiary health centre in Nigeria. Ethical approval for the study was obtained from the Research and Ethics Committee of the institution.</p></sec><sec id="s2"><title>2. Materials and Method</title><p>This observational cross-sectional study was carried out in the Department of Obstetrics and Gynaecology of the Lagos State University Teaching Hospital, Ikeja, Lagos State from 1<sup>st</sup> August 2016 to 28<sup>th</sup> February, 2017. Pregnant women with viable singleton fetus in their third trimesters (28weeks of gestation till delivery), diagnosed with pre-eclampsia and matched for age, parity, and gestational age at recruitment with those who are healthy and normotensive were recruited by purposive sampling from the antenatal clinics, lying in wards and the emergency unit as cases and control respectively.</p><p>Women with gestational diabetes, infectious disease, premature rupture of membranes, preterm or term labour, multiple fetuses, renal disease, chronic hypertension, other medical conditions and who did not give informed written consent were excluded.</p><p>The sample size was calculated using Leslie Fisher’s formula [<xref ref-type="bibr" rid="scirp.109910-ref22">22</xref>], N = ( Z α + Z β ) 2 ( P o ( 1 − P 0 ) + P 1 ( 1 − P 1 ) 2 ) / ( P 1 − P 0 ) 2 . Where N = required minimum sample size in each group; Zα = % of normal distribution corresponding to the required significant level of 5% = 1.96; Zβ = point of normal distribution corresponding to the statistical power of 80% = 0.842; P<sub>o</sub> = response in the first group got from previous study = 0.90; P<sub>1</sub> = expected response in the second group = 0.80. Approximately 50 was calculated in each group, but was increased to 75 to control for attrition. All the women were followed up till delivery. The blood pressure of the control group was monitored to ensure they remained normotensive for the duration of pregnancy otherwise were excluded. Medical case files were reviewed and demographic data including obstetric history, medical and family history, examination findings at diagnosis and feto-maternal outcome of pregnancy were collected.</p><p>PE was diagnosed using the criteria from the International Society for the Study of Hypertension in Pregnancy (ISSHP). [<xref ref-type="bibr" rid="scirp.109910-ref23">23</xref>]. Hypertension was defined as blood pressure of ≥140/90 mmHg on 2 or more consecutive occasions ≥ 4 hours apart or as a diastolic blood pressure of ≥110 mmHg on any one occasion. Proteinuria was defined as a clean catch midstream or catheter urine specimen with ≥2 + proteinuria on reagent strip. Severe PE was defined by blood pressure of ≥160/110 mmHg with ≥2 + proteinuria or any degree of hypertension with complications such as eclampsia, HELLP syndrome and any other end organ damage. The blood pressure at the brachial artery was measured using a mercury sphygmomanometer on two occasion, 4 - 6 hours apart after adequate rest. Mean arterial blood pressure was calculated as Diastolic blood pressure + 1/3 Pulse pressure (Pulse pressure = Systolic blood pressure – Diastolic blood pressure). Gestational ages were calculated using the last menstrual period (LMP) and/or first trimester or early mid trimester ultra-sonographic scan.</p><p>Blood samples were drawn at recruitment for each participant. Five (5 mls) of venous blood was collected from the patients into plain bottles that was well labelled for proper identification and left for 2 hours to clot and retract and then centrifuged at 2500 RPM for 5 minutes. The serum was decanted into vials and stored at −80˚C until analysis. Maternal serum sFlt-1 and PIGF were assayed using the Abcam PLC, Cambridge, United Kingdom Enzyme Linked Immunosorbent Assay (ELISA) Diagnostic kits according to manufacturer’s instruction.</p><p>The women with PE (cases) were sub-divided into mild and severe PE groups. The sflt1/PIGF ratio was calculated for each participant and a cut off value of 85 for the sFlt-1/PIGF ratio was used. The values of the ratio of analytes were regrouped into high if &gt;85 and low if &lt; than 85. Patients who had at least one fetal complication was categorized to have adverse fetal outcome, likewise, patients who had at least one maternal complication was categorized to have adverse maternal outcome.</p><p>Data were analysed using the Epi info 3.5.3 statistical software (2011) of the Centre for disease control, Atlanta Georgia, USA and Statistical Package for Social Sciences (SPSS) (version 20.0, SPSS Inc., Chicago, Illinois, USA). Percentage, means and standard deviation of numerical variables were determined. Independent t-test and analysis of variance was used to compare numeric variables. Chi Square test was used to compare categorical variables. Correlation was determined using the Pearson’s correlation co-efficient. Odds ratio and confidence interval were determined using logistic regression. P-value less than 0.05 was considered to be statistically significant. The confidence interval was set at 95% for all statistical test.</p></sec><sec id="s3"><title>3. Results</title><p>A total of 150 patients (75 patients in the pre-eclampsia and 75 patients in the control groups) were recruited for this study. The clinical details of the patients are shown in <xref ref-type="table" rid="table1">Table 1</xref>. There was no significant difference in ages, parity and gestational ages in the women studied. Nulliparous parturient accounted for approximately half of the total population of these women. In the PE group, 15 (20%) had mild PE while 60 (80%) had severe disease. The difference in mean systolic, diastolic and mean arterial blood pressures between the groups were statistically significant (p value = 0.0000). <xref ref-type="table" rid="table2">Table 2</xref> shows that the mean serum PIGF was significantly lower in the PE group (70.14 &#177; 51.03 pg/ml) compared to the control (494.06 &#177; 475.81 pg/ml) group with p-value = 0.0000. Maternal serum sFlt-1 was significantly higher in PE (6581.86 &#177; 865.75 pg/ml) compared with normotensive (4584.50 &#177; 147.96 pg/ml) pregnancies, p value = 0.0000. The sFlt-1/PIGF ratio was significantly higher in those with PE (149.42 &#177; 92.43) than in the control (11.60 &#177; 6.42) group, P value = 0.0000. Further comparative analysis of the levels and ratio of the analytes between women with mild and severe PE showed that patients with severe PE had a lower mean PIGF (51.60 &#177; 38.53 pg/ml) that was not statistically significant compared to those with mild PE (74.78 &#177; 52.96 pg/ml), p-value = 0.1162. Also the mean sFlt-1 level was slightly higher in severe PE group (6600.00 &#177; 763.45 pg/ml) compared to the mild PE group (6577.33 &#177; 895.36 pg/ml) but increase was not significant, p-value = 0.9211. There was no significant difference in the mean sFlt-1/PIGF ratio between severe PE group (186.84 &#177; 96.72) and the mild PE group (140.07 &#177; 89.73), p-value = 0.0795 (<xref ref-type="table" rid="table3">Table 3</xref>). The mean sFlt-1/PIGF ratio was significantly higher in women who had adverse fetal outcome compared to those with those who had none. There was however, no significant difference in the ratio in those who had adverse maternal outcome (<xref ref-type="table" rid="table4">Table 4</xref>).</p><p>The risk of adverse fetal outcome was observed to increase by 3.6 fold in patients with high sFlt-1/PIGF ratio compared to those with low ratio and this was</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Clinical details of patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >VARIABLES</th><th align="center" valign="middle" >PREECLAMPSIA N = 75</th><th align="center" valign="middle" >CONTROL N = 75</th><th align="center" valign="middle" >P-VALUE</th></tr></thead><tr><td align="center" valign="middle" >AGE (YEARS) Mean &#177; SD Range</td><td align="center" valign="middle" >29.38 &#177; 4.97 16 - 42.</td><td align="center" valign="middle" >30.01 &#177; 19.93 16 - 42.</td><td align="center" valign="middle" >0.4178<sup>#</sup></td></tr><tr><td align="center" valign="middle" >PARITY 0 1 - 4 5 And Above</td><td align="center" valign="middle" >37 (49.3%) 36 (48%). 2 (2.7%)</td><td align="center" valign="middle" >27 (36%) 47 (62.7%) 1 (1.3%)</td><td align="center" valign="middle" >0.1870*</td></tr><tr><td align="center" valign="middle" >GESTATIONAL AGE (WEEKS) RANGE</td><td align="center" valign="middle" >34.3 &#177; 3.41 27 - 40</td><td align="center" valign="middle" >34.11 &#177; 3.26 27 - 40</td><td align="center" valign="middle" >0.8073</td></tr><tr><td align="center" valign="middle" >MEAN SYSTOLIC BP (mmHg)</td><td align="center" valign="middle" >168.4 &#177; 19.9</td><td align="center" valign="middle" >111.6 &#177; 9.52</td><td align="center" valign="middle" >0.0000</td></tr><tr><td align="center" valign="middle" >MEAN DIASTOLIC BP (mmHg)</td><td align="center" valign="middle" >106.8 &#177; 11.71</td><td align="center" valign="middle" >66.2 &#177; 6.93</td><td align="center" valign="middle" >0.0000</td></tr><tr><td align="center" valign="middle" >MABP (mmHg)</td><td align="center" valign="middle" >127.3 &#177; 13.17</td><td align="center" valign="middle" >81.37 &#177; 6.9</td><td align="center" valign="middle" >0.0000</td></tr></tbody></table></table-wrap><p>* = chi square test, # = student’s t-test.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Mean levels of angiogenic (PIGF), anti-angiogenic (sFlt-1) and sFlt-1/PIGF ratio among the patients studied</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >MEAN &#177; SD</th><th align="center" valign="middle" >PREECLAMPSIA N = 75</th><th align="center" valign="middle" >CONTROL N = 75</th><th align="center" valign="middle" >P-VALUE</th></tr></thead><tr><td align="center" valign="middle" >PIGF (pg/ml)</td><td align="center" valign="middle" >70.14 &#177; 51.03</td><td align="center" valign="middle" >494.06 &#177; 47.58</td><td align="center" valign="middle" >0.0000</td></tr><tr><td align="center" valign="middle" >sFlt-1 (pg/ml)</td><td align="center" valign="middle" >6581.86 &#177; 865.75</td><td align="center" valign="middle" >4584.5 &#177; 1479.6</td><td align="center" valign="middle" >0.0000</td></tr><tr><td align="center" valign="middle" >sFlt-1/PIGF Ratio</td><td align="center" valign="middle" >149.42 &#177; 92.43</td><td align="center" valign="middle" >11.60 &#177; 6.42</td><td align="center" valign="middle" >0.0000</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Mean levels of angiogenic (PIGF), anti-angiogenic (sFlt-1), sFlt-1/PIGF ratio in patients with mild and severe preeclampsia</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >MEAN &#177; SD</th><th align="center" valign="middle" >SEVERE PREECLAMPSIA N = 60</th><th align="center" valign="middle" >MILD PREECLAMPSIA N = 15</th><th align="center" valign="middle" >P-VALUE</th></tr></thead><tr><td align="center" valign="middle" >PIGF (pg/ml)</td><td align="center" valign="middle" >51.60 &#177; 38.53</td><td align="center" valign="middle" >74.78 &#177; 52.96</td><td align="center" valign="middle" >0.1162</td></tr><tr><td align="center" valign="middle" >sFlt-1 (pg/ml)</td><td align="center" valign="middle" >6600.00 &#177; 763.45</td><td align="center" valign="middle" >6577.333 &#177; 895.36</td><td align="center" valign="middle" >0.9211</td></tr><tr><td align="center" valign="middle" >sFlt-1/PIGF Ratio</td><td align="center" valign="middle" >186.84 &#177; 96.72</td><td align="center" valign="middle" >140.07 &#177; 89.73</td><td align="center" valign="middle" >0.0795</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Mean levels of sFlt-1/PIGF ratio stratified with adverse fetomaternal outcome in preeclampsia group</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >ADVERSE OUTCOME</th><th align="center" valign="middle" >YES</th><th align="center" valign="middle" >NO</th><th align="center" valign="middle"  colspan="2"  >P-VALUE</th></tr></thead><tr><td align="center" valign="middle" >FETAL Birth Asphyxia IUFD NND NICU Admission Low Birth Weight</td><td align="center" valign="middle" >235.47 &#177; 101.04 274.15 &#177; 33.05 333.3 &#177; 0.00 197.38 &#177; 88.16 212.73 &#177; 75.06</td><td align="center" valign="middle" >140.57 &#177; 87.57 130.24 &#177; 83.19 146.94 &#177; 90.50 139.37 &#177; 90.79 104.80 &#177; 75.86</td><td align="center" valign="middle"  colspan="2"  >0.0088 0.0000 0.0444 0.0388 0.0000</td></tr><tr><td align="center" valign="middle" >MATERNAL Eclampsia ICU Admission Renal Failure Maternal Death HELLP Syndrome Abruptio placentae</td><td align="center" valign="middle" >153.79 &#177; 118.17 133.33 &#177; 0.00 161.20 &#177; 164.86 277.77 &#177; 0.00 133.3 &#177; 0.00 133.33 &#177; 0.00</td><td align="center" valign="middle" >148.83 &#177; 89.47 149.64 &#177; 93.28 149.10 &#177; 91.65 147.69 &#177; 91.83 149.64 &#177; 93.28 138.57 &#177; 84.33</td><td align="center" valign="middle" >0.0881 0.8122 0.8566 0.1636 0.5790 0.4332</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>statistically significant (p value = 0.0263). However, the presence of high sFlt-1/PIGF ratio did not increase the risk of adverse maternal outcome (Odd Ratio 1.03, CI 0.24 - 4.42, P value = 0.9608) <xref ref-type="table" rid="table5">Table 5</xref>. After correcting for early onset PE and other co-variate (maternal outcome) the previously significant fetal adverse outcome associated with high sFlt-1/PIGF was no longer significant (Odd Ratio 1.89, CI 0.3 - 8.5, P value = 0.450). Using Pearson’s correlation, the study revealed that sFlt-1 and sFlt-1/PIGF ratio had a significant and positive correlation with the mean arterial blood pressure and the PIGF had a significant but very strong negative correlation with the mean arterial blood pressure.</p></sec><sec id="s4"><title>4. Discussion</title><p>Our study assessed the serum concentration of PIGF and sFlt-1 and their ratio in</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Association of adverse foetomaternal outcome with sFlt-1/PIGF ratio</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >CRUDE</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >ADJUSTED</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >HIGH RATIO</td><td align="center" valign="middle" >ADVERSE OUTCOME</td><td align="center" valign="middle" >NO ADVERSE OUTCOME</td><td align="center" valign="middle" >ODD RATIO</td><td align="center" valign="middle" >95% CI</td><td align="center" valign="middle" >P-VALUE</td><td align="center" valign="middle" >ODD RATIO</td><td align="center" valign="middle" >95% CI</td><td align="center" valign="middle" >P-VALUE</td></tr><tr><td align="center" valign="middle" >FETAL</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >26 (83.9%)</td><td align="center" valign="middle" >26 (59.1%)</td><td align="center" valign="middle" >3.6</td><td align="center" valign="middle" >(1.4 - 11.4)</td><td align="center" valign="middle" >0.0263</td><td align="center" valign="middle" >1.89</td><td align="center" valign="middle" >(0.3 - 8.5)</td><td align="center" valign="middle" >0.45</td></tr><tr><td align="center" valign="middle" >NO</td><td align="center" valign="middle" >5 (16.1%)</td><td align="center" valign="middle" >18 (4.9%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >MATERNAL</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >YES</td><td align="center" valign="middle" >7 (70.0%)</td><td align="center" valign="middle" >45 (69.2%)</td><td align="center" valign="middle" >1.03</td><td align="center" valign="middle" >(0.24 - 4.42)</td><td align="center" valign="middle" >0.9608</td><td align="center" valign="middle" >0.60</td><td align="center" valign="middle" >(0.05 - 6.64)</td><td align="center" valign="middle" >0.68</td></tr><tr><td align="center" valign="middle" >NO</td><td align="center" valign="middle" >3 (30.0%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Crude Odds Ratio Adjusted for early onset preeclampsia and other co-variate.</p><p>pregnant women with PE and compared with their normotensive counterparts in the third trimester and looked into its potential as a marker of disease severity and adverse feto-maternal outcomes.</p><p>In this study, maternal serum PIGF level was significantly lower in women with PE compared to those with normotensive pregnancies. Conversely, the serum sFlt-1 and sFlt-1/PIGF ratio were significantly higher in the PE compared with the normotensives. These findings are in concordance with other studies [<xref ref-type="bibr" rid="scirp.109910-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref13">13</xref>]. The mechanisms responsible for the alteration of maternal plasma sFlt-1 and PIGF concentrations in women with PE are not fully understood. However, in-vitro studies suggest that the altered levels of these factors may occur in response to placental hypoxia following reduced oxygen tension resulting in incomplete remodeling of spiral arteries and neo-angiogenesis which are essential to placental health and growth in normal pregnancy [<xref ref-type="bibr" rid="scirp.109910-ref6">6</xref>].</p><p>Our result showed a non-significant increase in sFlt-1 in patients with severe PE compared to those with mild PE. This was at variance with that documented in other studies [<xref ref-type="bibr" rid="scirp.109910-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref13">13</xref>], where a significant increase in the level of sFlt-1 in those with severe PE compared with those with mild disease was found. This difference may be due to the difference in gestational ages at recruitment and at the same time may suggest a racial variation. There was a non-significant decrease in PIGF in patients with severe PE compared to those with mild PE which differed from findings documented in other studies [<xref ref-type="bibr" rid="scirp.109910-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref9">9</xref>]. The sFlt-1/PIGF ratio was not significantly increased in severe PE than mild PE (p = 0.0795) as documented in other studies. Our finding was however, similar to that documented by Nikuei et al., who observed that although the ratio was higher in severe PE than mild PE, the difference was not statistically significant, p = 0.389 [<xref ref-type="bibr" rid="scirp.109910-ref20">20</xref>]. Chaiworapongsa and co-workers [<xref ref-type="bibr" rid="scirp.109910-ref14">14</xref>] documented that increasing sFlt-1 correlates with disease severity, this was not observed in this study.</p><p>This study showed that there was a significant high sFlt-1/PIGF ratio associated with fetal adverse outcome in PE patients compared to those without any adverse outcome as found in other studies [<xref ref-type="bibr" rid="scirp.109910-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref26">26</xref>]. On the contrary there was a non-significant increase in sFlt-1/PIGF ratio in patients with adverse maternal outcome amongst PE patients. Most of the studies showed a high sFlt-1/PIGF ratio to be associated with adverse outcome both in singleton and in multiple pregnancy [<xref ref-type="bibr" rid="scirp.109910-ref28">28</xref>]. SFlt-1/PIGF ratio has been found to outweigh other clinical and laboratory tests in predicting adverse outcome [<xref ref-type="bibr" rid="scirp.109910-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.109910-ref28">28</xref>].</p><p>It was also found that there is at least a 3 - 4 fold risk of developing fetal adverse outcome in the pre-eclampsia group. Further adjustment with other co variate was not statistically significant with fetal adverse outcome. This suggests that the increased fetal adverse outcome in the early onset group was probably due to other causes other than the markedly elevated sFlt-1/PIGF ratio.</p><p>In conclusion, our study showed that comparing normotensive women with PE patients, there were increased sFlt-1 and decreased PIGF levels. While there was a strongly positive correlation between the mean arterial blood pressure and sFlt-1and sFlt-1/PIGF ratio, a negative correlation existed between the mean arterial blood pressure and PIGF. At the same time, sFlt-1/PIGF ratio may be of value in prediction of maternal and fetal outcome in PE patients.</p></sec><sec id="s5"><title>Limitation</title><p>The study was performed in a single center and is of relatively small size. Although we were interested in all PE related adverse outcomes, we did not find some adverse events, such as pulmonary edema, disseminated intravascular coagulation and retinopathy in this study.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Gbadegesin, A., Agbara, J.O., Rabiu, K.A., Sobande, A.A. and Azeez, M.A. (2021) Placenta Growth Factor and Soluble Fms-Like Tyrosine Kinase 1 in Preeclampsia and Normotensive Pregnant Nigerian Women. Open Journal of Obstetrics and Gynecology, 11, 753-762. https://doi.org/10.4236/ojog.2021.116070</p></sec></body><back><ref-list><title>References</title><ref id="scirp.109910-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Lee-Ann Hawkins, T., Brown, M.A., Mangos, G.J. and Davis, G.K. (2012) Transient Gestational Hypertension: Not Always a Benign Event. 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