<?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">OJEMD</journal-id><journal-title-group><journal-title>Open Journal of Endocrine and Metabolic Diseases</journal-title></journal-title-group><issn pub-type="epub">2165-7424</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojemd.2023.139013</article-id><article-id pub-id-type="publisher-id">OJEMD-127978</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>
 
 
  Insulin Sensitivity of Term Newborns Exposed &lt;i&gt;in Utero&lt;/i&gt; to HIV and Antiretrovirals in Yaound&#233;
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Francine</surname><given-names>Mendane Ekobena</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>Audrey</surname><given-names>Christance Donfack</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>Hortence</surname><given-names>Fouedjio</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>Suzanne</surname><given-names>Ngo Um Sap</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>Martine</surname><given-names>Claude Etoa Etoga</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>Mesmin</surname><given-names>Dehayem</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>Anne</surname><given-names>Boli Ongmeb</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>Gabriel</surname><given-names>Loni Ekali</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jean</surname><given-names>Claude Mbanya</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>Eugène</surname><given-names>Sobngwi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff4"><addr-line>Biotechnology Center, University of Yaoundé 1, Yaoundé, Cameroon</addr-line></aff><aff id="aff3"><addr-line>Endocrinology and Metabolic Diseases Unit, Yaoundé Central Hospital, Yaoundé, Cameroon</addr-line></aff><aff id="aff1"><addr-line>Internal Medicine Unit, Essos Hospital Center, Yaoundé, Cameroon</addr-line></aff><aff id="aff2"><addr-line>Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon</addr-line></aff><pub-date pub-type="epub"><day>26</day><month>09</month><year>2023</year></pub-date><volume>13</volume><issue>09</issue><fpage>161</fpage><lpage>172</lpage><history><date date-type="received"><day>5,</day>	<month>August</month>	<year>2023</year></date><date date-type="rev-recd"><day>24,</day>	<month>September</month>	<year>2023</year>	</date><date date-type="accepted"><day>27,</day>	<month>September</month>	<year>2023</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>
 
 
  Introduction: 
  Antiretrovirals (ARVs) and the human immunodeficiency virus (HIV) are implicated in the onset of insulin resistance. They cross the placental barrier thereby inducing early modifications of the fetal environment. The aim of our study was to assess insulin sensitivity in full-term newborns exposed in utero to HIV and ARVs in Yaound&#233;. <b>Materials and Methods:</b> We conducted an analytical cross-sectional study in 2 maternities in the city of Yaound&#233; from November 2021 to June 2022. We generated two groups of newborns (NBs): one group born to HIV
   
  positive mothers on
   ARVs and the other control group born to HIV
   
  negative mothers. Clinical data from mothers and NBs were collected. A homeostatic model assessment of insulin resistance (HOMA-IR) like index with C peptide served to assess insulin sensitivity. We used the Spearman correlation to measure the strength of association between insulin sensitivity and the different variables. A p-value &lt; 0.05 was considered statistically significant. <b>Results: </b>Of 70 neonates included, 35 were born to HIV positive mothers on ARVs and 35 to 
  HIV negative 
  mothers. The median age of HIV
   
  positive and negative mothers was 30 (27
   
  -
   
  32) and 34 (24
   
  -
   
  47) years, respectively (p = 0.791). The body mass index before pregnancy as well as the average newborn weights were comparable in both groups. The ARV protocol associating Tenofovir, Lamivudine, Efavirenz was used by 97.1% of HIV positive mothers. In the exposed NB
  s
   group, C peptide was significantly lower (p &lt; 0.001) and 
  blood glucose
   significantly higher (p &lt; 0.001). The median values of HOMA-IR were 1.4 (0.8
   
  -
   
  1.9) and 2 (1.4
   
  -
   
  2.6) (p = 0.001) for exposed and unexposed NBs, respectively. <b>Conclusion:</b> Newborns exposed to HIV and ARVs had lower C peptide levels and were more sensitive to insulin. Close metabolic monitoring of these newborns would allow early diagnosis and management of any glucose regulation disorder.
 
</p></abstract><kwd-group><kwd>Insulin Sensitivity</kwd><kwd> Newborns</kwd><kwd> Antiretrovirals</kwd><kwd> HIV</kwd><kwd> C Peptide</kwd><kwd> HOMA-IR</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Human immunodeficiency virus (HIV) infection remains a major public health problem worldwide. In 2021, according to the World Health Organization (WHO), 37.7 million people worldwide were living with HIV, including 1.3 million pregnant women, of whom 81% had access to antiretroviral treatment as part of the prevention of mother-to-child transmission initiative [<xref ref-type="bibr" rid="scirp.127978-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.127978-ref2">2</xref>] . Antiretroviral treatment has markedly improved the prognosis of people living with HIV and significantly reduced its transmission from mother-to-child to a bare minimum [<xref ref-type="bibr" rid="scirp.127978-ref3">3</xref>] . HIV infection and ARVs induce changes in carbohydrate and lipid metabolism leading to the development of diabetes mellitus, insulin resistance, metabolic syndrome and dyslipidemia [<xref ref-type="bibr" rid="scirp.127978-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.127978-ref5">5</xref>] . The mechanisms responsible for the development of these metabolic diseases are: lipodystrophy caused by lipolysis and the adipogenesis-inhibiting action of antiproteases, immune changes induced by HIV infection and ARVs, and mitochondrial cytopathy induced by nucleoside analogues [<xref ref-type="bibr" rid="scirp.127978-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.127978-ref5">5</xref>] .</p><p>The developmental Origin of Health and Disease (DOHaD) theory is based on the concept that the origins of lifestyle-related disease are formed at the time of fertilization, embryonic, fetal stages by the interrelation between genes and environment during the intrauterine life [<xref ref-type="bibr" rid="scirp.127978-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.127978-ref7">7</xref>] . The mechanisms of intrauterine adaptation by the fetus are through transplacental effects and epigenetic effects [<xref ref-type="bibr" rid="scirp.127978-ref8">8</xref>] . As a result, HIV and ARVs crossing the placental barrier accumulate in amniotic fluid, thereby modifying the intrauterine environment to which the fetus must adapt. Moreover ARVs, especially nucleoside analogues, are responsible for mitochondrial toxicity through their inhibitory action on DNA polymerase δ and production of defective mitochondrial DNA (mtDNA), inefficient repair of error in mtDNA replication [<xref ref-type="bibr" rid="scirp.127978-ref9">9</xref>] . This results disruption of proper oxidative phosphorylation, thereby leading to mitochondrial dysfunction. This could disrupt fetal energy metabolism, leading to long-term changes in insulin sensitivity [<xref ref-type="bibr" rid="scirp.127978-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.127978-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.127978-ref11">11</xref>] .</p><p>Studies have highlighted a high prevalence of obesity and lipid disorders in young children and adolescents born to HIV infected mothers, hence the importance of early screening for metabolic disorders and implementation of preventive measures such as lifestyle and dietary changes from early childhood [<xref ref-type="bibr" rid="scirp.127978-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.127978-ref13">13</xref>] . The aim of our study was to evaluate the insulin sensitivity in full-term newborns exposed in utero to HIV and ARV.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Type</title><p>This was a descriptive and analytical cross-sectional study conducted over a period of 08 months from November 2021 to June 2022 in two maternity wards in the city of Yaound&#233;: the maternity wards of the Central Hospital of Yaound&#233; and the Social and Health Center of Nkolndongo-Yaound&#233;.</p><p>Study population</p><p>The study population was selected by consecutive sampling. Eligible participants were newborns with gestational age between 38 and 41 weeks. Two groups of term newborns (NBs) were formed. A group of full-term NBs from HIV positive mothers (HIVp) treated with ARVs for at least three months at the time of inclusion, and a group of full-term NBs of HIV negative mothers (HIVn). We excluded NBs of mothers with a history of diabetes mellitus, hyperthyroidism, renal insufficiency, arterial hypertension, recent systemic corticosteroid therapy lasting ≥30 days, and NBs admitted to the neonatal intensive care unit at birth.</p><p>Sampling and sample size</p><p>This was a non-random consecutive sampling. Sample size was calculated using the Whitley et al. formula for estimating a difference in means. N = (2 &#215; Cp)/d&#178;, where N = number of patients required for each group, d = standard difference = expected difference/standard deviation; Cp = is a constant defined by the value chosen for statistical power and the p-value. This is given by statistical tables. With a statistical power of 80% and a p-value of 0.05, the constant (Cp) is 7.9. Considering an expected difference in insulin sensitivity of 20% between the 2 groups; we used the mean insulin sensitivity (M) of term newborns with a normal birth weight which is 1.03 &#177; 0.26 using the HOMA-IR test [<xref ref-type="bibr" rid="scirp.127978-ref14">14</xref>] . Thus d = (0.20 &#215; 1.03)/0.26 = 0.79N = (2 &#215; 7.9)/(0.79)<sup>2</sup> = 25.31. We required a minimum of 25 newborns per group.</p></sec><sec id="s2_2"><title>2.2. Data Collection</title><p>Clinical data</p><p>With the help of midwives, we recruited women during their last prenatal visit and in delivery rooms. Data were collected using a pre-established questionnaire. These included sociodemographic, obstetrical and gynecological data, history of current pregnancy and HIV infection for HIV positive mothers and anthropometric parameters of all mothers. We also collected the anthropometric parameters of newborns, namely the weight, cranial circumference, thoracic circumference, arm circumference and length.</p><p>Biological data</p><p>A 10 milliliters blood sample was taken from the umbilical vein 2 cm from the fetal placental surface after expulsion of the placenta. It was equally distributed between a dry and a fluorinated tube. The blood samples were labeled and stored in a cooler at 25˚C. They were transported to the Laboratory of the National Obesity Center within 12 hours of sampling. They were centrifuged at 3000 revolutions per minute for 10 minutes. Serum and plasma were separated and stored in cryovials using pipettes and frozen at minus 25˚C for subsequent assays. Venous blood sugar levels were measured using the endpoint enzymatic method by the glucose oxidase/peroxidase assay. Blood glucose was measured by a series of spectrophotometric micro curves. Measurement of fetal C peptide values was obtained from serum using the Eagle Biosciences Human C Peptide ELISA Assay Kit enzyme immunoassay. Reagents for the assay are ready to use and pre-dispensed in sealed reagent strips. The assay was performed manually. This kit allowed us to have C peptide values in pmol/l which were then converted in mIU/mL using the following formula: 1 μIU/mL = 6.00 pmol/L.</p><p>Assessment of insulin sensitivity</p><p>We used an HOMA-IR like index for insulin sensitivity assessment; it was determined by the HOMA-IR formula: Glucose (mmol/L) &#215; Insulin (mU/L or μUl/mL)/22.5) [<xref ref-type="bibr" rid="scirp.127978-ref15">15</xref>] ; where the insulin level was replaced by the C peptide level. In this study, we use C peptide because it’s co-secreted in equimolar concentration with insulin, it isn’t metabolized by the liver and doesn’t undergo any extraction during the first hepatic passage. Therefore, it can be indirectly measured to access insulin secretion [<xref ref-type="bibr" rid="scirp.127978-ref16">16</xref>] . The HOMA-IR index is an alternative to the euglycemic insulin clamp. It is easier and more convenient to use [<xref ref-type="bibr" rid="scirp.127978-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.127978-ref18">18</xref>] . A newborn was considered insulin sensitive if the HOMA-IR value was &lt;2.6 [<xref ref-type="bibr" rid="scirp.127978-ref15">15</xref>] .</p></sec><sec id="s2_3"><title>2.3. Statistical Analyses</title><p>Data were entered and saved using Excel 2013 software. Data analyses were performed using IBM-SPSS V.21.0 software. For sociodemographic, clinical and therapeutic parameters of the mothers, we calculated frequencies for qualitative variables. Quantitative variables were represented as medians (Interquartile Range) and means &#177; Standard Deviation. The same method applied to anthropometric parameters of newborns. The means were compared with the Student T test. For comparison of HOMA-IR values between the two groups of newborns, we used the Man Whitley and Fisher tests as needed. We used the Spearman correlation to measure the strength of association between insulin sensitivity and the different variables. A p-value of less than 0.05 was considered statistically significant.</p></sec><sec id="s2_4"><title>2.4. Ethical Considerations</title><p>All pregnant women signed an informed consent form. We obtained authorizations from both hospitals in which the study took place, with codes as follows: N˚ 2022/065/AR/MINSANTE/SG/DHCY/UAF for the Central Hospital of Yaound&#233; and N˚/Ref: OEC/03/22/035/CASS/D/CE/ for Social and Health Center of Nkolndongo. We also obtained ethical clearance N˚28/UY1/FMSB/VDRC/DAASR/CSD from the Institutional Research Ethics Committee of the Faculty of Medicine and Biomedical Sciences of the University of Yaound&#233; I.</p></sec></sec><sec id="s3"><title>3. Results</title><p>The study was offered to 98 pregnant women at term, including 45 women seropositive for HIV (HIVp) and 53 HIV negative (HIVn) women. Seventy women and their newborns were included in the study, distributed as follows: 35 newborns each of HIV negative and positive mothers (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><sec id="s3_1"><title>3.1. Characteristics of Study Population</title><p>Mothers’ Clinical Characteristics</p><p>Both groups were comparable in terms of age, level of education, gestational age and BMI (<xref ref-type="table" rid="table1">Table 1</xref>). HIVp mothers were more frequently concubines (31.4% vs 8.6%, p = 0.024) and self-employed (60% vs 28.6%, p = 0.023). The average age was 30.8 &#177; 5.1 years and 29.6 &#177; 6.9 years in the group of HIVp and HIVn mothers, respectively. Our study population was made up of young single women with a secondary school education. Most deliveries were vaginal. Regarding HIV treatment protocol, 97.1% of HIV positive women (34/35) were on triple therapy: Tenofovir, Lamivudine, Effavirenz.</p><p>Newborns Clinical Characteristics</p><p>Newborns in the HIV/ARVs exposed group were 51.4% male and 48.6% female. The mean weights were 3258 &#177; 296.9 g and 3305 &#177; 382.6 g in the exposed and unexposed group, respectively. We noted no significant difference in anthropometric parameters of newborns between the two groups (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s3_2"><title>3.2. Insulin Sensitivity of Newborns</title><p>In the group of newborns exposed to HIV/ARVs, the median blood sugar values were higher (3.3mmol/l vs 1.3 mmol, p &lt; 0.001) whereas HOMA-IR values were lower (1.4 vs 2, p = 0.001). Moreover, the median C peptide values were</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sociodemographic and clinical characteristics of the women</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >HIVp N = 35 (%)</th><th align="center" valign="middle" >HIVn N = 35 (%)</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Age (SD), years</td><td align="center" valign="middle" >30.8 (5.1)</td><td align="center" valign="middle" >29.6 (6.9)</td><td align="center" valign="middle" >0.791</td></tr><tr><td align="center" valign="middle" >Matrimonial status (n, %)</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" >Single</td><td align="center" valign="middle" >17 (48.6)</td><td align="center" valign="middle" >17 (48.6)</td><td align="center" valign="middle" >0.024</td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >7 (20)</td><td align="center" valign="middle" >15 (48.9)</td><td align="center" valign="middle" >0.02</td></tr><tr><td align="center" valign="middle" >Concubine</td><td align="center" valign="middle" >11 (31.4)</td><td align="center" valign="middle" >3 (8.6)</td><td align="center" valign="middle" >0.035</td></tr><tr><td align="center" valign="middle" >Educational level</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" >None</td><td align="center" valign="middle" >2 (5.8)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.082</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >4 (11.4)</td><td align="center" valign="middle" >1 (2.9)</td><td align="center" valign="middle" >0.075</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >21 (60)</td><td align="center" valign="middle" >18 (51.4)</td><td align="center" valign="middle" >0.066</td></tr><tr><td align="center" valign="middle" >University</td><td align="center" valign="middle" >8 (22.9)</td><td align="center" valign="middle" >16 (45.7)</td><td align="center" valign="middle" >0.018</td></tr><tr><td align="center" valign="middle" >Profession</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" >None</td><td align="center" valign="middle" >6 (17.1)</td><td align="center" valign="middle" >5 (14.3)</td><td align="center" valign="middle" >0.023</td></tr><tr><td align="center" valign="middle" >Student</td><td align="center" valign="middle" >4 (11.4)</td><td align="center" valign="middle" >15 (42.9)</td><td align="center" valign="middle" >0.016</td></tr><tr><td align="center" valign="middle" >Self-employed</td><td align="center" valign="middle" >21 (60)</td><td align="center" valign="middle" >10 (28.6)</td><td align="center" valign="middle" >0.058</td></tr><tr><td align="center" valign="middle" >Private sector</td><td align="center" valign="middle" >4 (11.4)</td><td align="center" valign="middle" >4 (11.4)</td><td align="center" valign="middle" >0.089</td></tr><tr><td align="center" valign="middle" >Public sector</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1 (2.9)</td><td align="center" valign="middle" >0.063</td></tr><tr><td align="center" valign="middle" >Gestational age (weeks)</td><td align="center" valign="middle" >39.1 &#177; 1.6</td><td align="center" valign="middle" >38.5 &#177; 1.2</td><td align="center" valign="middle" >0.096</td></tr><tr><td align="center" valign="middle" >Mode of delivery</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" >Vaginal</td><td align="center" valign="middle" >34 (97)</td><td align="center" valign="middle" >28 (80)</td><td align="center" valign="middle" >0.055</td></tr><tr><td align="center" valign="middle" >Cesarean</td><td align="center" valign="middle" >1 (2.7)</td><td align="center" valign="middle" >7 (20)</td><td align="center" valign="middle" >0.095</td></tr><tr><td align="center" valign="middle"  colspan="2"  >BMI (DS) (kg/m<sup>2</sup>) before pregnancy</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;18.5</td><td align="center" valign="middle" >1 (2.9)</td><td align="center" valign="middle" >14 (40)</td><td align="center" valign="middle" >0.746</td></tr><tr><td align="center" valign="middle" >18.5 - 24.9</td><td align="center" valign="middle" >12 (34.3)</td><td align="center" valign="middle" >15 (42.9)</td><td align="center" valign="middle" >0.084</td></tr><tr><td align="center" valign="middle" >25 - 29.9</td><td align="center" valign="middle" >15 (42.9)</td><td align="center" valign="middle" >6 (17.1)</td><td align="center" valign="middle" >0.79</td></tr><tr><td align="center" valign="middle" >&gt;29.9</td><td align="center" valign="middle" >7 (20)</td><td align="center" valign="middle" >0 (00)</td><td align="center" valign="middle" >0.045</td></tr></tbody></table></table-wrap><p>SD: standard deviation, BMI: body mass index, Kg/m<sup>2</sup>: kilogram per square meter</p><p>lower in HIV/ARVs exposed group (12.3 mIU/ml vs 30 mIU/ml, p &lt; 0.001) See <xref ref-type="table" rid="table3">Table 3</xref>.</p></sec><sec id="s3_3"><title>3.3. Association between Insulin Sensitivity and Duration of ARVs Treatment</title><p>There was no significant association between HOMA-IR values and duration of antiretroviral treatment as shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p></sec><sec id="s3_4"><title>3.4. Association between Insulin Sensitivity and Newborn Birth Weight</title><p>According the bivariate analysis, in two groups of newborns, there was no significant</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Newborns clinical characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >Exposed N = 35</th><th align="center" valign="middle" >Unexposed N = 35</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Sex</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" >Female, n (%)</td><td align="center" valign="middle" >17 (48.6)</td><td align="center" valign="middle" >16 (45.7)</td><td align="center" valign="middle" >0.792</td></tr><tr><td align="center" valign="middle" >Male, n (%)</td><td align="center" valign="middle" >18 (51.4)</td><td align="center" valign="middle" >19 (54.3)</td><td align="center" valign="middle" >0.823</td></tr><tr><td align="center" valign="middle" >Length (SD), cm</td><td align="center" valign="middle" >49 &#177; 1.7</td><td align="center" valign="middle" >49.2 &#177; 2.4</td><td align="center" valign="middle" >0.69</td></tr><tr><td align="center" valign="middle" >Weight (SD), g</td><td align="center" valign="middle" >3258 &#177; 296.9</td><td align="center" valign="middle" >3305 &#177; 382.6</td><td align="center" valign="middle" >0.569</td></tr><tr><td align="center" valign="middle" >Head circumference (SD), cm</td><td align="center" valign="middle" >34.8 &#177; 0.9</td><td align="center" valign="middle" >34 &#177; 5.5</td><td align="center" valign="middle" >0.632</td></tr><tr><td align="center" valign="middle" >Chest circumference (SD), cm</td><td align="center" valign="middle" >33.7 &#177; 1.3</td><td align="center" valign="middle" >33.6 &#177; 1.7</td><td align="center" valign="middle" >0.836</td></tr><tr><td align="center" valign="middle" >Arm circumference (SD), cm</td><td align="center" valign="middle" >11.3 &#177; 1</td><td align="center" valign="middle" >11.2 &#177; 0.7</td><td align="center" valign="middle" >0.938</td></tr></tbody></table></table-wrap><p>SD: standard deviation, cm: centimeter, g: gram.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of blood glucose, C Peptide and HOMA-IR values of newborns</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Exposed N = 35</th><th align="center" valign="middle" >Unexposed N = 35</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Blood glucose (Q1 - Q3), mmol/l</td><td align="center" valign="middle" >3.3 (1.3 - 4)</td><td align="center" valign="middle" >1.3 (1.1 - 4.6)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >C Peptide (Q1 - Q3), mIU/ml</td><td align="center" valign="middle" >12.3 (9.2 - 14.2)</td><td align="center" valign="middle" >30 (24.5 - 51.7)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >HOMA-IR (Q1 - Q3)</td><td align="center" valign="middle" >1.4 (0.8 - 1.9)</td><td align="center" valign="middle" >2 (1.4 - 2.6)</td><td align="center" valign="middle" >&lt;0.001</td></tr></tbody></table></table-wrap><p>Q1: first quartile Q3: third quartile, mmol/l: millimoles per liter, mIU/ml: milli-international units per milliliter.</p><p>association between HOMA-IR values and newborn birth weight. The relative risk of newborns with birth between 2500 - 3000, 3000 - 3500, 3500 - 4000 was 1.07 (95% CI: 0.87 - 1.33, p = 0.473), 1.02 (95% CI 0.7 - 1.02, p = 0675) and 1.33 (95% CI: 0.78 - 2.02, p = 0.284) respectively (<xref ref-type="table" rid="table4">Table 4</xref>).</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Association between insulin sensitivity and newborn birth weight</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >HOMA-IR &lt; 2.6</th><th align="center" valign="middle"  rowspan="2"  >RR (95% CI)</th><th align="center" valign="middle"  rowspan="2"  >p</th></tr></thead><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >yes</td></tr><tr><td align="center" valign="middle" >Birth weight (g)</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" >[2500 - 3000], n (%)</td><td align="center" valign="middle" >10 (90.9)</td><td align="center" valign="middle" >1 (9.1)</td><td align="center" valign="middle" >1.07 (0.86 - 1.33)</td><td align="center" valign="middle" >0.473</td></tr><tr><td align="center" valign="middle" >]3000 - 3500], n (%)</td><td align="center" valign="middle" >36 (81.8)</td><td align="center" valign="middle" >8 (18.2)</td><td align="center" valign="middle" >1.02 (0.70 - 1.02)</td><td align="center" valign="middle" >0.675</td></tr><tr><td align="center" valign="middle" >]3500 - 4000], n (%)</td><td align="center" valign="middle" >14 (93.3)</td><td align="center" valign="middle" >1 (6.7)</td><td align="center" valign="middle" >1.33 (0.78 - 2.02)</td><td align="center" valign="middle" >0.284</td></tr></tbody></table></table-wrap><p>RR: Relative Risk, CI: Confidence Interval.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>The goal of our study was to assess insulin sensitivity of full-term newborns exposed in utero to HIV and ARVs using HOMA-IR. Therefore, we recruited 70 full-term pregnant women and their newborns from two maternity wards in the city of Yaound&#233;, who were divided into two groups: an exposed group consisting of 35 newborns of HIV positive mothers and a control group of 35 newborns of HIV negative mothers. Our main results were as follows: higher blood sugar levels, lower insulin values and HOMA-IR values in the group of newborns exposed in utero to HIV and ARVs compared to the control group.</p><p>In our study, we noted a predominance of single mothers with a secondary edu- cation and an average age of 30.8 &#177; 5.1 and 29.6 &#177; 6.9 years in the HIV positive and control group, respectively. This can be superimposed on the study population of Jao et al. [<xref ref-type="bibr" rid="scirp.127978-ref10">10</xref>] . About 97% (34/35) of the women were on the tenofovir, lamivudine, effavirenz protocol, and only one of the participants was on tenofovir, lamivudine, dolutegravir. Our results on ARV use are different from those of Jao et al. in 2015 who reported that 9.6% of women in their study population were not on ARVs, 21.1% on zidovudine only and 69.2% of women on triple therapy. This can be explained by the improvement of HIV care and strengthening of the prevention of HIV transmission from mother-to-child initiative in various maternities. The latter is likely due to capacity building of staff (midwives), regular supply of ARVs and sensitization of HIV-positive women on the risks of transmission. The median body mass index before pregnancy was 26.3 kg/m<sup>2</sup> (23 - 29.3) which is like that of Jao et al. but higher than observed by Simental-Mendia et al. [<xref ref-type="bibr" rid="scirp.127978-ref15">15</xref>] who found an average BMI of 23.8 &#177; 4.3 kg/m<sup>2</sup> prior to pregnancy. This may be due to the diverse dietary habits of different populations. Regarding anthropometric parameters of newborns, we did not note any significant difference between the group exposed to HIV/ARV and the unexposed one. The average weight of exposed and unexposed newborns was 3258 &#177; 296.9 g and 3305.5 &#177; 382.63 g respectively. This is similar to Simental-Mendia et al. who reported the mean weight as 3278 &#177; 321 g for newborns at term. We noted higher blood sugar levels in the exposed group versus the unexposed one (3.3 vs 1.3 mmol/l). Additionally, we recorded a drop in insulin secretion (according C peptide values) in exposed newborns which may be linked to mitochondrial toxicity induced by tenofovir, an observation that could also explain hyperglycemia found in this group. Moreover, some of our maternities habitually administer 10% dextrose infusion to all parturients during labor. According to Pedersen’s hypothesis, induced maternal hyperglycemia would lead to fetal hyperglycemia which would consequently induce fetal hyperinsulinism [<xref ref-type="bibr" rid="scirp.127978-ref19">19</xref>] . This physiological phenomenon was found in the control group where high insulin levels were observed for relatively low blood sugar levels compared to the exposed group. The insulin secretion deficit found in the exposed group would thus explain the failure of this physiological phenomenon, hence the relatively higher blood sugar levels in this group. Regarding insulin sensitivity, HOMA-IR values were lower in the exposed group, suggesting better insulin sensitivity in exposed newborns compared to unexposed. The same observation was made by both Jao et al. Better insulin sensitivity observed in the exposed group could also be explained by the sparing phenotype theory which stipulates early metabolic adaptations for the survival of the fetus in a more or less hostile intrauterine environment. The thrifty phenotype hypothesis proposes that the epidemiological associations between poor fetal and infant growth and the subsequent development of type 2 diabetes and the metabolic syndrome result from the effects of poor nutrition in early life, which produces permanent changes in glucose-insulin metabolism. These changes include reduced capacity for insulin secretion and insulin resistance which, combined with effects of obesity, aging and physical inactivity, genetic and environmental factors are the most important factors in determining type 2 diabetes field [<xref ref-type="bibr" rid="scirp.127978-ref20">20</xref>] . We could also speculate on the assay method used, namely HOMA-IR. The gold standard for measuring insulin sensitivity remains the hy- perinsulinemic euglycemic clamp, a laborious test unsuitable for neonates. How- ever, studies have demonstrated a significant correlation between the HOMA- IR and hyperinsulinemic euglycemic clamp [<xref ref-type="bibr" rid="scirp.127978-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.127978-ref21">21</xref>] . Thus, the HOMA-IR is the most suitable test for this type of study because it is cheaper and more practical for newborns. Study limitations include the absence of maternal blood glucose levels before and during labor as this would have permitted better correlation with fetal glycemia. In addition, in absence of reference values for HOMA-IR values in pediatric population, we used the references of another study evaluating the insulin sensitivity of newborns.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Newborns exposed in utero to HIV and ARVs have better insulin sensitivity and lower C peptide values compared to newborns of HIV negative mothers. Our results underline the importance of monitoring pregnant women living with HIV and the impact of the virus and ARVs on offspring metabolism. Close metabolic monitoring of these newborns in the medium and long term and evaluation of their insulin sensitivity with the euglycemic insulin test are necessary for early diagnosis and management of a possible glucose regulation disorder.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We would like to thank all women who voluntarily agreed to participate in this study.</p></sec><sec id="s7"><title>Authors Contribution</title><p>Francine Mendane Ekobena and Hortence Fouedjio conducted the study and wrote the manuscript, Audrey Christance Donfack and Gabriel Loni Ekali collected data and did statistical analyses. Suzanne Ngo Um Sap, Martine Claude Etoa Etoga, Mesmin Dehayem and Anne Boli helped with data collection, analysis and interpretation. Jean Claude Mbanya and Eug&#232;ne Sobngwi supervised the study. All authors read and approved the manuscript.</p></sec><sec id="s8"><title>Ethics Statement</title><p>The study was approved by the institutional ethics committees of the Yaound&#233; Central Hospital and the Social and Health Center of Nkolndongo as well as by the ethics committee of the faculty of medicine and biomedical sciences of the university of Yaound&#233; 1.</p></sec><sec id="s9"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s10"><title>Cite this paper</title><p>Ekobena, F.M., Donfack, A.C., Fouedjio, H., Sap, S.N.U., Etoga, M.C.E., Dehayem, M., Ongmeb, A.B., Ekali, G.L., Mbanya, J.C. and Sobngwi, E. (2023) Insulin Sensitivity of Term Newborns Exposed in Utero to HIV and Antiretrovirals in Yaound&#233;. Open Journal of En- docrine and Metabolic Diseases, 13, 161- 172. https://doi.org/10.4236/ojemd.2023.139013</p></sec><sec id="s11"><title>Abbreviations</title><p>ARVs: Antiretrovirals</p><p>DOHaD: Developmental Origin of Health and Disease</p><p>HIV: Human Immunodeficiency viRus</p><p>HOMA-IR: Homeostasis Model Assessment-Insulin Resistance</p><p>mtDNA: Mitochondrial DNA</p><p>NBs: Newborns</p><p>WHO: World Health Organization</p></sec></body><back><ref-list><title>References</title><ref id="scirp.127978-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Global HIV &amp; AIDS Statistics—Fact Sheet. https://www.unaids.org/en/resources/fact-sheet</mixed-citation></ref><ref id="scirp.127978-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Data on the HIV Response. https://www.who.int/data/gho/data/themes/hiv-aids/data-on-the-hiv-aids-response</mixed-citation></ref><ref id="scirp.127978-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">WHO_RHR_01.28.pdf. http://apps.who.int/iris/bitstream/handle/10665/66851/WHO_RHR_01.28.pdf?sequence=1</mixed-citation></ref><ref id="scirp.127978-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Noubissi, E.C., Katte, J.C. and Sobngwi, E. 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