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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2023.1122393</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Skeletal muscle fibre type and enzymatic activity in adult offspring following placental and peripheral malaria exposure in foetal life</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes" equal-contrib="no"><name>
<surname>Christensen</surname>
<given-names>Dirk L.</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn012"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/81208/overview"/>
</contrib>
<contrib contrib-type="author"><name>
<surname>Mutabingwa</surname>
<given-names>Theonest K.</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author"><name>
<surname>Bygbjerg</surname>
<given-names>Ib C.</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/519256/overview"/>
</contrib>
<contrib contrib-type="author"><name>
<surname>Vaag</surname>
<given-names>Allan A.</given-names>
</name>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author"><name>
<surname>Grunnet</surname>
<given-names>Louise G.</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff6" ref-type="aff"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author"><name>
<surname>Lajeunesse-Trempe</surname>
<given-names>Fanny</given-names>
</name>
<xref rid="aff7" ref-type="aff"><sup>7</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1562710/overview"/>
</contrib>
<contrib contrib-type="author"><name>
<surname>Nielsen</surname>
<given-names>Jannie</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author"><name>
<surname>Schmiegelow</surname>
<given-names>Christentze</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author"><name>
<surname>Ramaiya</surname>
<given-names>Kaushik L.</given-names>
</name>
<xref rid="aff8" ref-type="aff"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author"><name>
<surname>Myburgh</surname>
<given-names>Kathryn H.</given-names>
</name>
<xref rid="aff9" ref-type="aff"><sup>9</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/37362/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Public Health, University of Copenhagen</institution>, <addr-line>Copenhagen</addr-line>, <country>Denmark</country></aff>
<aff id="aff2"><sup>2</sup><institution>Faculty of Medicine, Hubert Kairuki Memorial University</institution>, <addr-line>Dar es Salaam</addr-line>, <country>Tanzania</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Immunology and Microbiology, University of Copenhagen</institution>, <addr-line>Copenhagen</addr-line>, <country>Denmark</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Clinical Sciences, Lund University</institution>, <addr-line>Lund</addr-line>, <country>Sweden</country></aff>
<aff id="aff5"><sup>5</sup><institution>Translational Type 2 Diabetes Research, Steno Diabetes Center Copenhagen</institution>, <addr-line>Herlev</addr-line>, <country>Denmark</country></aff>
<aff id="aff6"><sup>6</sup><institution>Clinical Prevention Research, Steno Diabetes Center Copenhagen</institution>, <addr-line>Herlev</addr-line>, <country>Denmark</country></aff>
<aff id="aff7"><sup>7</sup><institution>Faculty of Medicine, Laval University</institution>, <addr-line>Quebec, QC</addr-line>, <country>Canada</country></aff>
<aff id="aff8"><sup>8</sup><institution>Shree Hindu Mandal Hospital</institution>, <addr-line>Dar es Salaam</addr-line>, <country>Tanzania</country></aff>
<aff id="aff9"><sup>9</sup><institution>Department of Physiological Sciences, Stellenbosch University</institution>, <addr-line>Stellenbosch</addr-line>, <country>South Africa</country></aff>
<author-notes>
<fn id="fn0002" fn-type="edited-by">
<p>Edited by: &#x00C5;ke Sj&#x00F6;holm, G&#x00E4;vle Hospital, Sweden</p>
</fn>
<fn id="fn0003" fn-type="edited-by">
<p>Reviewed by: Marin Nelson, The University of Sydney, Australia; Victor Muleya, Midlands State University, Zimbabwe</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Dirk L. Christensen, <email>dirklc@sund.ku.dk</email></corresp>
<fn fn-type="equal" id="fn012"><p>&#x2020;ORCID: Dirk L. Christensen, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-2142-522X">https://orcid.org/0000-0003-2142-522X</ext-link></p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1122393</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>05</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Christensen, Mutabingwa, Bygbjerg, Vaag, Grunnet, Lajeunesse-Trempe, Nielsen, Schmiegelow, Ramaiya and Myburgh.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Christensen, Mutabingwa, Bygbjerg, Vaag, Grunnet, Lajeunesse-Trempe, Nielsen, Schmiegelow, Ramaiya and Myburgh</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Maternal malaria may restrict foetal growth. Impaired utero-placental blood flow due to malaria infection may cause hypoxia-induced altered skeletal muscle fibre type distribution in the offspring, which may contribute to insulin resistance and impaired glucose metabolism. This study assessed muscle fibre distribution 20 years after placental and/or peripheral <italic>in-utero</italic> malaria exposure compared to no exposure, i.e., PPM+, PM+, and M-, respectively.</p>
</sec>
<sec>
<title>Methods</title>
<p>We traced 101 men and women offspring of mothers who participated in a malaria chemosuppression study in Muheza, Tanzania. Of 76 eligible participants, 50 individuals (29 men and 21 women) had skeletal muscle biopsy taken from <italic>m</italic>. vastus lateralis in the right leg. As previously reported, fasting and 30 min post-oral glucose challenge plasma glucose values were higher, and insulin secretion disposition index was lower, in the PPM+ group. Aerobic capacity (fitness) was estimated by an indirect VO<sub>2</sub>max test on a stationary bicycle. Muscle fibre sub-type (myosin heavy chain, MHC) distribution was analysed, as were muscle enzyme activities (citrate synthase (CS), 3-hydroxyacyl-CoA dehydrogenase, myophosphorylase, phosphofructokinase, lactate dehydrogenase, and creatine kinase activities. Between-group analyses were adjusted for MHC-I %.</p>
</sec>
<sec>
<title>Results</title>
<p>No differences in aerobic capacity were found between groups. Despite subtle elevations of plasma glucose levels in the PPM+ group, there was no difference in MHC sub-types or muscle enzymatic activities between the malaria-exposed and non-exposed groups.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The current study did not show differences in MHC towards glycolytic sub-types or enzymatic activity across the sub-groups. The results support the notion of the mild elevations of plasma glucose levels in people exposed to placental malaria in pregnancy being due to compromised pancreatic insulin secretion rather than insulin resistance.</p>
</sec>
</abstract>
<kwd-group>
<kwd>malaria exposure</kwd>
<kwd>hypoxia</kwd>
<kwd>myosin heavy chain</kwd>
<kwd>skeletal muscle enzymes</kwd>
<kwd>glucose metabolism</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="54"/>
<page-count count="8"/>
<word-count count="6752"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Clinical Diabetes</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec5" sec-type="intro">
<title>Introduction</title>
<p>Several studies over the past seven decades have shown foetal growth restriction due to malaria exposure (<xref ref-type="bibr" rid="ref1 ref2 ref3">1&#x2013;3</xref>). Globally, there are an estimated 50 million annual pregnancies in high-endemic malarious areas of which at least 25% of pregnant women are being infected with malaria (<xref ref-type="bibr" rid="ref4">4</xref>). The mechanism(s) behind foetal growth restriction and its relationship with malaria exposure is not fully understood, but based on Doppler-scans it has been shown that blood flow from the placenta to the foetus is compromised (<xref ref-type="bibr" rid="ref5">5</xref>). Furthermore, malaria infection in early pregnancy has been shown to impede placental vascular development (<xref ref-type="bibr" rid="ref6">6</xref>). These changes will cause restricted oxygen delivery to the foetus, which according to histological examination of within-term placenta is due to impaired placental function by malaria parasitic infiltration of the villi (<xref ref-type="bibr" rid="ref7">7</xref>).</p>
<p>Skeletal muscle is an essential tissue for movement and plays a major role in whole body metabolism. The substrates supplying the energy required for contraction are high-energy phosphates, carbohydrate, lipid or protein (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). Skeletal glucose uptake is stimulated by insulin (<xref ref-type="bibr" rid="ref10 ref11 ref12">10&#x2013;12</xref>), and further enhanced by the intracellular calcium increases accompanying muscle activation-contraction coupling (<xref ref-type="bibr" rid="ref13">13</xref>). During exercise, when energetic demand is high, blood glucose can account for approximately 40% of blood glucose disposal (<xref ref-type="bibr" rid="ref14">14</xref>). At rest, insulin signalling plays the predominant role. Indeed, in a classical study using the euglycaemic insulin clamp technique in healthy young men at rest, it was found that skeletal muscle contributes to approximately 85% of the glucose clearance (<xref ref-type="bibr" rid="ref15">15</xref>). This is reduced by 50% in individuals with type 2 diabetes mellitus (DM) (<xref ref-type="bibr" rid="ref15">15</xref>).</p>
<p>The contractile and metabolic properties in combination provide muscle fibre phenotypes. The major fibre types, namely fast and slow twitch fibres have characteristic contractile speed, as a result of specific myosin heavy chain (MHC) isoforms (<xref ref-type="bibr" rid="ref16">16</xref>). The fibre type metabolic profiles are typically described as glycolytic or oxidative (<xref ref-type="bibr" rid="ref17">17</xref>), characteristics that can be assessed in muscle samples by determining enzymatic capacity of key enzymes. Type I muscle fibres contain MHC-I, and oxidative enzyme activity is high, whereas type II muscle fibres contain MHC-II and are more glycolytic in nature. Although the proportion between these fibre types is heritable (<xref ref-type="bibr" rid="ref18">18</xref>), a high level of exercise training can cause shifts in fibre type (<xref ref-type="bibr" rid="ref19">19</xref>). Type II fibres have sub-types containing MHC-IIx, which are more glycolytic and MHC-IIa, which are more oxidative and therefore metabolically adjusted for energy utilisation, including oxidation of glucose. Studies of rat muscle with predominantly Type I highly oxidative fibres have higher protein levels of insulin receptors and glucose transporters reflecting their capacity to use glucose as substrate (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref21">21</xref>). In addition, a functional study in rats in which insulin resistance was induced by high-fat diet, showed that insulin-stimulated glucose uptake into muscle was lower and that this was driven by lower uptake in type II fibres specifically (<xref ref-type="bibr" rid="ref22">22</xref>).</p>
<p>Skeletal muscle is adaptable to environmental stimuli such as altitude (<xref ref-type="bibr" rid="ref23">23</xref>). Populations living at high altitude have lifelong exposure to hypoxia, which influences their skeletal muscle (<xref ref-type="bibr" rid="ref24">24</xref>). Lifelong high altitude living shifts oxidative metabolism to a more glycolytic metabolism (<xref ref-type="bibr" rid="ref25">25</xref>). Pathological conditions can also change muscle fibre type proportions. Patients with chronic obstructive pulmonary disease have higher type II fibre proportion (<xref ref-type="bibr" rid="ref26">26</xref>), and lower oxidative enzyme activities (<xref ref-type="bibr" rid="ref27">27</xref>). In obese middle-aged men and women with type 2 DM, proteomic analysis of muscle biopsies revealed higher fast muscle associated proteins and glycolytic pathway proteins, alongside lower levels of proteins associated with the slow and oxidative phenotype (<xref ref-type="bibr" rid="ref28">28</xref>). Even in glucose-intolerant persons with moderately elevated fasting glucose, fibre type profile was skewed to higher fast twitch glycolytic type II fibres (<xref ref-type="bibr" rid="ref29">29</xref>). Foetal development may be influenced during pregnancy at high altitude, and this has been shown particularly with regard to low birth weight (LBW) (<xref ref-type="bibr" rid="ref30">30</xref>). Furthermore, LBW (a proxy for intrauterine growth restriction) is known to be associated with a fibre type profile towards higher proportion of MHC-IIx containing fast glycolytic fibres at the expense of the more oxidative MHC-IIa containing fibres (<xref ref-type="bibr" rid="ref31">31</xref>).</p>
<p>We, among others (<xref ref-type="bibr" rid="ref32">32</xref>), have previously hypothesized that a physiological adaptation to maternal malaria exposure takes place through epigenetic changes and foetal programming with focus on skeletal muscle among others as peripheral insulin resistance is one of the hallmarks of type 2 DM (<xref ref-type="bibr" rid="ref33">33</xref>). From a clinical perspective and based on standard oral glucose tolerance test (OGTT) in the same cohort, we recently demonstrated subtle elevated plasma glucose 30&#x2009;min post glucose ingestion in adult offspring of women exposed to peripheral and placental malaria in pregnancy, suggesting an early risk marker for later development of type 2 DM (<xref ref-type="bibr" rid="ref34">34</xref>).</p>
<p>We aimed to determine whether exposure to combined peripheral and placental malaria compared to peripheral malaria exposure only, or no malaria, in the foetal state had an influence on skeletal muscle fibre distribution, and/or on oxidative or glycolytic skeletal muscle enzymatic activities in young adults.</p>
</sec>
<sec id="sec6" sec-type="materials|methods">
<title>Materials and methods</title>
<p>We retrieved information from study documents on offspring and their mothers from a study on malaria chemosupression conducted in 1989&#x2013;92 in Muheza, Tanga region, north-eastern Tanzania (<xref ref-type="bibr" rid="ref35">35</xref>). During the original chemosupression study, pregnant women were given malaria chemoprophylaxis/chemosupressive regimens, and ensuing clinical malaria attacks were treated with sulphadoxine&#x2013;pyrimethamine and if failed with quinine. For the current study, we retrieved relevant data including birth weight, mother&#x2019;s age at birth, and maximum peripheral malaria density and frequency of malaria attack during pregnancy. During pregnancy, malaria exposure was determined by examining Giemsa stained thick blood smear taken every 2&#x2009;weeks for peripheral malaria, and used a similar approach for a placental thick blood smear at delivery (<xref ref-type="bibr" rid="ref35">35</xref>).</p>
<p>This follow-up study was conducted in 2010&#x2013;11, and clinical results have been described (<xref ref-type="bibr" rid="ref34">34</xref>). Consenting participants went through pre-study HIV counselling, and were then subjected to a rapid HIV (capillus) test, hepatitis B (Hb-surface antigen) test, and peripheral blood smear for malaria microscopy. A positive HIV or hepatitis B test were exclusion criteria, while a positive malaria test resulted in postponement of eligibility to participate in the study until the infection had been cleared. Participants who met the study inclusion criteria were instructed to abstain from alcohol, smoking, and heavy physical activity for at least 72&#x2009;h prior to enrolment into the study.</p>
<p>We stratified study participants by foetal malaria exposure as follows: (1) both peripheral and placental malaria (PPM+), (2) peripheral malaria (PM+) at least once during pregnancy, and (3) peripheral and placental malaria negative (M-). LBW was defined as &#x003C;2.5&#x2009;kg.</p>
<p>Following an overnight fast, standard anthropometric measurements including height (m), weight (kg), and waist circumference (cm) were measured, and body mass index (BMI, kg/m<sup>2</sup>) was calculated. Body fat % and fat-free mass (FFM) were estimated using bio-impedance analysis (Tanita SC 330-S, Tokyo, Japan). Furthermore, abdominal fat distribution was measured using ultrasound scanning technique (Aquila Basic Unit, Esaote, Pie Medical Equipment) (<xref ref-type="bibr" rid="ref36">36</xref>). Blood pressure (mmHg) and heart rate (beats/min) were measured three times after every 2&#x2009;min using a full-automatic device (Omron HEM-7120, Kyoto, Japan) with the study participant seated. An average of the two last readings were used to calculate mean values. Baseline fasting blood glucose was measured, followed by a standard 75&#x2009;g OGTT and 10&#x2009;mL of blood drawn at 0, 30 and 120&#x2009;min. Fasting, 30&#x2009;min, and 120&#x2009;min insulin EDTA-plasma insulin and C-peptide (pmol/L) were analysed according to the ECLIA-photon count method (Roche diagnostics). Insulin indices were calculated. A standard lipid profile was analysed by enzymatic identification-absorption photometry (Roche Cobas diagnostics). High-sensitivity C-reactive protein (hs-CRP) was analysed according to the immunoturbidimetric method (Roche Cobas diagnostics). Alanine transaminase aspartate transaminase, and creatinine were analysed via connected enzyme reactive method (Roche Cobas diagnostics); carbamide was analysed according to HPLC method (Dionex Ultimate 3,000, Thermo Scientific); gamma-Glutamyl transferase was analysed using the enzymatic calorimetric method (Roche Cobas diagnostics); Albumin was analysed by absorption photometry (Roche Cobas diagnostics). Fatty liver index was calculated according to a standard formula (<xref ref-type="bibr" rid="ref37">37</xref>).</p>
<p>Maximal aerobic work capacity (watt-max method) was assessed using a Monark 828E stationary bicycle (Monark Exercise, Vansbro, Sweden), and calculated as VO<sub>2</sub>/min/kg according to the formula by (<xref ref-type="bibr" rid="ref38">38</xref>). In brief, resistance was set at 0.75 and 1.0 kiloponds (kp) and the cadence was fixed at 60 and 70 rounds per minute for women and men, respectively, for 2&#x2013;3&#x2009;min of warm-up. Kp &#x00D7; cadence&#x2009;=&#x2009;watts. Immediately following warm-up, all participants started the test at 1.0&#x2009;kp at the sex-specific cadence, i.e., 60 and 70 watts for women and men, respectively. Resistance was increased by 0.5&#x2009;kp every 90&#x2009;s until exhaustion, i.e., when an individual was unable to keep up the cadence. Maximal aerobic work capacity was then predicted from the formula: 0.16&#x2009;+&#x2009;(0.0117&#x2009;&#x00D7;&#x2009;maximal power output in watts) (<xref ref-type="bibr" rid="ref38">38</xref>).</p>
<sec id="sec7">
<title>Myosin heavy chain composition and enzyme activities in muscle homogenate samples</title>
<p>A fasting biopsy was taken from the right <italic>m.</italic> vastus lateralis using the Bergstr&#x00F6;m needle technique with suction (<xref ref-type="bibr" rid="ref39">39</xref>), and frozen in liquid nitrogen. A small piece of muscle was quickly weighed, transferred to a pre-cooled glass tube and a volume of chilled 100&#x2009;mM potassium phosphate buffer, pH 7.30 added to a ratio of 1&#x2009;mg:100&#x2009;&#x03BC;L. Samples were kept on ice, homogenised using a glass homogeniser and sonicated (Virsonic Virtis) three times for 10&#x2009;s on ice, with 10&#x2009;s delay between intervals. The protein content of each sample was determined using the method described by (<xref ref-type="bibr" rid="ref40">40</xref>).</p>
<p>MHC isoform contents of homogenate samples were determined using SDS-PAGE according to the method described by (<xref ref-type="bibr" rid="ref41">41</xref>) with slight modifications. Briefly, electrophoresis was carried out at 4&#x00B0;C using a large-gel system (Hoefer SE600), first at constant 70&#x2009;V for 4&#x2009;h, followed by constant 275&#x2009;V for 20&#x2009;h. Gels were stained with Coomassie blue R250 and subsequently scanned using a computer scanner. Relative percentages of the bands were quantified using the Un-Scan-It software package ver 6.3 (Silk Scientific Corporation, Orem, UT, United States). See <xref rid="fig1" ref-type="fig">Figure 1</xref> for images of the scanned Coomassie stained gels for measurement of muscle fibre types.</p>
<fig position="float" id="fig1"><label>Figure 1</label>
<caption>
<p>Myosin heavy chain (MHC) isoform content and densitometric profile of skeletal muscle biopsies in young Tanzanian adults (<italic>n</italic>=50).</p>
</caption>
<graphic xlink:href="fpubh-11-1122393-g001.tif"/>
</fig>
<p>Citrate synthase (CS), 3-hydroxyacyl-CoA dehydrogenase (3-HAD), myophosphorylase (PHOS), phosphofructokinase (PFK), lactate dehydrogenase (LDH), and creatine kinase (CK) activities were determined using microplate fluorometric (SpectraMax id3, Molecular Devices, San Jose, CA, United States) adapted methods as described by (<xref ref-type="bibr" rid="ref42">42</xref>). The enzyme reagent for all assays was 250&#x2009;&#x03BC;L and sample volumes for CS, 3-HAD, PHOS, and PFK were 5&#x2009;&#x03BC;L and 2&#x2009;&#x03BC;L for the LDH assay. The original homogenate was further diluted (5&#x00D7;) as a volume of 2&#x2009;&#x03BC;L used for the CK assay. The emission at 460&#x2009;nm was recorded for 5&#x2009;min with 30&#x2009;s intervals using an excitation wavelength of 340&#x2009;nm. A NADH or NADPH standard curve was included to calculate enzyme activities expressed as &#x03BC;moles NADH or NADPH per minute per gram protein (&#x03BC;mol/min/g wet weight).</p>
</sec>
<sec id="sec8">
<title>Statistical analyses</title>
<p>Linear regression analyses were used to test for differences in outcomes of interest and malaria exposure. Furthermore, all regression analyses for the clinical data were adjusted for MHC-I % due to skewed sex distribution, and as we sought to elucidate if this may be related to intrinsic skeletal muscle phenotype. Regression analyses for muscle enzyme activity were adjusted for fitness expressed as estimated VO<sub>2</sub>max/min/kg fat-free mass. Estimated fitness was expressed as VO<sub>2</sub>/min/FFM to further account for the skewed sex distribution in the three study groups. Differences in LBW proportion between groups were determined by Fisher&#x2019;s exact test. Continuous data are presented as mean (standard deviation, SD) and as median (interquartile range, IQR) for skewed number distribution. All analyses were performed using Stata 17.0 (<italic>Stata</italic> Statistical Software, College Station, <italic>TX</italic>: <italic>StataCorp</italic> LLC) with <italic>p</italic>-values &#x003C;0.05 considered as statistically significant.</p>
</sec>
</sec>
<sec id="sec9" sec-type="results">
<title>Results</title>
<p>We traced 101 out of 337 mothers who participated in the original study, from whom 76 offspring were eligible after pre-study screening procedure. Biopsy samples were taken from 50 individuals (13 in the M-group, 28 in the PM+ group, and 9 in the PPM+ group).</p>
<p>Sex distribution was 21 women and 29 men with a mean age of 19.6 (0.9) years. There was no difference in proportion of LBW between the groups [(n = 1 (7.7%), n = 7 (25.0%), and n = 4 (7.44.4%) for M-, PM+, and PPM+, respectively, p = 0.15)]. Background and clinical characteristics of the mothers (while pregnant) are presented in <xref rid="tab1" ref-type="table">Table 1</xref>. Furthermore, continuous variables of the offspring with inter-group differences are presented in <xref rid="tab1" ref-type="table">Table 1</xref> and <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>. Mean fasting glucose was highest in the PPM+ group (<italic>p</italic>&#x2009;=&#x2009;0.074), and based on the OGTT, mean plasma glucose was highest in the PPM+ group at 30&#x2009;min (<italic>p</italic>&#x2009;=&#x2009;0.049) sustaining already published results (<xref ref-type="bibr" rid="ref34">34</xref>). Disposition index (early phase insulin secretion/homoeostasis model assessment of insulin resistance) was lowest in the PPM+ group (<italic>p</italic>&#x2009;=&#x2009;0.02).</p>
<table-wrap position="float" id="tab1"><label>Table 1</label>
<caption>
<p>Background and clinical characteristics in offspring stratified by malaria exposure during pregnancy presented as mean (SD) (<italic>n</italic>&#x2009;=&#x2009;50).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="middle">Malaria negative</th>
<th align="center" valign="middle">Peripheral malaria</th>
<th align="center" valign="middle">Peripheral&#x2009;+&#x2009;placental malaria</th>
<th align="center" valign="middle"><italic>p</italic>-value</th>
<th align="center" valign="middle"><italic>p</italic>-value adjusted<xref rid="tfn1" ref-type="table-fn"><sup>a</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>N</italic></td>
<td align="char" valign="top" char="(">13</td>
<td align="char" valign="top" char="(">28</td>
<td align="char" valign="top" char="(">9</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex (male/female) (<italic>n</italic>)</td>
<td align="char" valign="top" char="(">8/5</td>
<td align="char" valign="top" char="(">13/15</td>
<td align="char" valign="top" char="(">8/1</td>
<td align="char" valign="top" char=".">0.08</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Mother&#x2019;s age (year)</td>
<td align="char" valign="top" char="(">28 (8)</td>
<td align="char" valign="top" char="(">25 (7)</td>
<td align="char" valign="top" char="(">23 (5)</td>
<td align="char" valign="top" char=".">0.21</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Max malaria density in pregnancy (f/cc) peripheral</td>
<td align="char" valign="top" char="(">0</td>
<td align="char" valign="top" char="(">2,160 (800&#x2013;13,400)</td>
<td align="char" valign="top" char="(">10,560 (3320&#x2013;36,480)</td>
<td align="char" valign="top" char=".">0.19</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Attack frequency</td>
<td align="char" valign="top" char="(">0</td>
<td align="char" valign="top" char="(">2 (1&#x2013;3)</td>
<td align="char" valign="top" char="(">2 (1&#x2013;3)</td>
<td align="char" valign="top" char=".">0.88</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="6"><italic>Offspring</italic></td>
</tr>
<tr>
<td align="left" valign="top">Birth weight (kg)</td>
<td align="char" valign="top" char="(">2.9 (0.6)</td>
<td align="char" valign="top" char="(">2.8 (0.5)</td>
<td align="char" valign="top" char="(">2.6 (0.5)</td>
<td align="char" valign="top" char=".">0.35</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="char" valign="top" char="(">20 (19&#x2013;20)</td>
<td align="char" valign="top" char="(">20 (19&#x2013;20)</td>
<td align="char" valign="top" char="(">20 (19&#x2013;20)</td>
<td align="char" valign="top" char=".">0.95</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Height (cm)</td>
<td align="char" valign="top" char="(">1.62 (0.1)</td>
<td align="char" valign="top" char="(">1.61 (0.1)</td>
<td align="char" valign="top" char="(">1.62 (0.1)</td>
<td align="char" valign="top" char=".">0.93</td>
<td align="char" valign="top" char=".">0.89</td>
</tr>
<tr>
<td align="left" valign="top">Weight (kg)</td>
<td align="char" valign="top" char="(">52.4 (7.8)</td>
<td align="char" valign="top" char="(">51.9 (6.9)</td>
<td align="char" valign="top" char="(">52.3 (9.2)</td>
<td align="char" valign="top" char=".">0.97</td>
<td align="char" valign="top" char=".">0.96</td>
</tr>
<tr>
<td align="left" valign="top">Body mass index (kg/m<sup>2</sup>)</td>
<td align="char" valign="top" char="(">20.1 (2.7)</td>
<td align="char" valign="top" char="(">20.0 (2.1)</td>
<td align="char" valign="top" char="(">19.8 (2.7)</td>
<td align="char" valign="top" char=".">0.95</td>
<td align="char" valign="top" char=".">0.80</td>
</tr>
<tr>
<td align="left" valign="top">Fat (%)</td>
<td align="char" valign="top" char="(">11.0 (8.9)</td>
<td align="char" valign="top" char="(">13.0 (7.2)</td>
<td align="char" valign="top" char="(">8.6 (4.9)</td>
<td align="char" valign="top" char=".">0.28</td>
<td align="char" valign="top" char=".">0.64</td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="6">Fat free mass (kg)</td>
</tr>
<tr>
<td align="left" valign="top">Waist circumference (cm)</td>
<td align="char" valign="top" char="(">70.4 (6.5)</td>
<td align="char" valign="top" char="(">71.1 (5.4)</td>
<td align="char" valign="top" char="(">73.0 (6.0)</td>
<td align="char" valign="top" char=".">0.61</td>
<td align="char" valign="top" char=".">0.35</td>
</tr>
<tr>
<td align="left" valign="top">VAT (cm)<xref rid="tfn2" ref-type="table-fn"><sup>b</sup></xref></td>
<td align="char" valign="top" char="(">5.4 (0.7)</td>
<td align="char" valign="top" char="(">5.3 (1.0)</td>
<td align="char" valign="top" char="(">5.7 (0.7)</td>
<td align="char" valign="top" char=".">0.52</td>
<td align="char" valign="top" char=".">0.58</td>
</tr>
<tr>
<td align="left" valign="top">SAT (cm)<xref rid="tfn3" ref-type="table-fn"><sup>c</sup></xref></td>
<td align="char" valign="top" char="(">1.2 (0.4)</td>
<td align="char" valign="top" char="(">1.2 (0.6)</td>
<td align="char" valign="top" char="(">1.2 (0.4)</td>
<td align="char" valign="top" char=".">0.98</td>
<td align="char" valign="top" char=".">0.88</td>
</tr>
<tr>
<td align="left" valign="top">Aerobic fitness<xref rid="tfn4" ref-type="table-fn"><sup>d</sup></xref> (mLO<sub>2</sub>/min/kg)</td>
<td align="char" valign="top" char="(">38.2 (10.2)</td>
<td align="char" valign="top" char="(">33.0 (13.6)</td>
<td align="char" valign="top" char="(">43.9 (11.9)</td>
<td align="char" valign="top" char=".">0.11</td>
<td align="char" valign="top" char=".">0.97</td>
</tr>
<tr>
<td align="left" valign="top">Aerobic fitness<xref rid="tfn4" ref-type="table-fn"><sup>d</sup></xref><sup>,</sup><xref rid="tfn5" ref-type="table-fn"><sup>e</sup></xref> (mLO<sub>2</sub>/min/kg FFM)</td>
<td align="char" valign="top" char="(">42.7 (9.4)</td>
<td align="char" valign="top" char="(">37.3 (13.4)</td>
<td align="char" valign="top" char="(">47.6 (11.5)</td>
<td align="char" valign="top" char=".">0.11</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Fasting glucose (mmol/L)</td>
<td align="char" valign="top" char="(">4.5 (0.7)</td>
<td align="char" valign="top" char="(">4.6 (0.5)</td>
<td align="char" valign="top" char="(">5.0 (0.6)</td>
<td align="char" valign="top" char=".">0.09</td>
<td align="char" valign="top" char=".">0.074</td>
</tr>
<tr>
<td align="left" valign="top">Glucose 30&#x2009;min (mmol/L)</td>
<td align="char" valign="top" char="(">6.8 (1.3)</td>
<td align="char" valign="top" char="(">6.7 (1.1)</td>
<td align="char" valign="top" char="(">8.2 (1.7)<xref rid="tfn2" ref-type="table-fn"><sup>b</sup></xref></td>
<td align="char" valign="top" char=".">0.02</td>
<td align="char" valign="top" char=".">0.049</td>
</tr>
<tr>
<td align="left" valign="top">Glucose 120&#x2009;min (mmol/L)</td>
<td align="char" valign="top" char="(">6.3 (1.0)</td>
<td align="char" valign="top" char="(">6.4 (1.3)</td>
<td align="char" valign="top" char="(">7.0 (2.6)</td>
<td align="char" valign="top" char=".">0.52</td>
<td align="char" valign="top" char=".">0.29</td>
</tr>
<tr>
<td align="left" valign="top">Fasting insulin (pmol/L)&#x002A;</td>
<td align="char" valign="top" char="(">48 (29;84)</td>
<td align="char" valign="top" char="(">56 (48;87)</td>
<td align="char" valign="top" char="(">65 (39;70)</td>
<td align="char" valign="top" char=".">0.52</td>
<td align="char" valign="top" char=".">0.15</td>
</tr>
<tr>
<td align="left" valign="top">Insulin 30&#x2009;min (pmol/L)&#x002A;</td>
<td align="char" valign="top" char="(">465 (174;673)</td>
<td align="char" valign="top" char="(">224 (99;414)</td>
<td align="char" valign="top" char="(">233 (81;340)</td>
<td align="char" valign="top" char=".">0.50</td>
<td align="char" valign="top" char=".">0.84</td>
</tr>
<tr>
<td align="left" valign="top">Insulin 120&#x2009;min (pmol/L)&#x002A;</td>
<td align="char" valign="top" char="(">267 (189;452)</td>
<td align="char" valign="top" char="(">287 (205;480)</td>
<td align="char" valign="top" char="(">199 (101;228)</td>
<td align="char" valign="top" char=".">0.11</td>
<td align="char" valign="top" char=".">0.26</td>
</tr>
<tr>
<td align="left" valign="top">HOMA-IR<xref rid="tfn6" ref-type="table-fn"><sup>f</sup></xref></td>
<td align="char" valign="top" char="(">1.59 (1.34)</td>
<td align="char" valign="top" char="(">2.03 (1.12)</td>
<td align="char" valign="top" char="(">1.72 (0.50)</td>
<td align="char" valign="top" char=".">0.64</td>
<td align="char" valign="top" char=".">0.64</td>
</tr>
<tr>
<td align="left" valign="top">Early phase insulin secretion (pmol/L)<xref rid="tfn7" ref-type="table-fn"><sup>g</sup></xref></td>
<td align="char" valign="top" char="(">1,308 (598)</td>
<td align="char" valign="top" char="(">1,240 (644)</td>
<td align="char" valign="top" char="(">871 (330)</td>
<td align="char" valign="top" char=".">0.24</td>
<td align="char" valign="top" char=".">0.25</td>
</tr>
<tr>
<td align="left" valign="top">Disposition index<sup>&#x002A;,</sup><xref rid="tfn8" ref-type="table-fn"><sup>h</sup></xref></td>
<td align="char" valign="top" char="(">1,290 (610;2,978)</td>
<td align="char" valign="top" char="(">615 (508;748)</td>
<td align="char" valign="top" char="(">527 (325;890)<xref rid="tfn1" ref-type="table-fn"><sup>a</sup></xref></td>
<td align="char" valign="top" char=".">0.01</td>
<td align="char" valign="top" char=".">0.01</td>
</tr>
<tr>
<td align="left" valign="top">Matsuda index<sup>&#x002A;,</sup><xref rid="tfn9" ref-type="table-fn"><sup>i</sup></xref></td>
<td align="char" valign="top" char="(">23.9 (12.3;55.2)</td>
<td align="char" valign="top" char="(">15.9 (12.5;20.6)</td>
<td align="char" valign="top" char="(">22.0 (16.1;31.1)</td>
<td align="char" valign="top" char=".">0.31</td>
<td align="char" valign="top" char=".">0.31</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1"><label>a</label>
<p>Adjusted for myosin heavy chain-I percentage.</p>
</fn>
<fn id="tfn2"><label>b</label>
<p>VAT, visceral adipose tissue.</p>
</fn>
<fn id="tfn3"><label>c</label>
<p>SAT, subcutaneous adipose tissue.</p>
</fn>
<fn id="tfn4"><label>d</label>
<p><italic>n</italic>&#x2009;=&#x2009;45.</p>
</fn>
<fn id="tfn5"><label>e</label>
<p>Estimated fitness expressed relative to FFM, fat free mass.</p>
</fn>
<fn id="tfn6"><label>f</label>
<p>HOMA-IR, homeostatic model assessment of insulin resistance, formula: insulin 0&#x2009;min&#x002A;(glucose 0&#x2009;min/22.5)&#x002A;0.144.</p>
</fn>
<fn id="tfn7"><label>g</label>
<p>Early phase insulin secretion, formula: 1283&#x2009;+&#x2009;1.829&#x002A;insulin 30&#x2009;min&#x2009;&#x2212;&#x2009;138.7&#x002A;glucose 30&#x2009;min&#x2009;+&#x2009;3.772&#x002A;insulin 0&#x2009;min.</p>
</fn>
<fn id="tfn8"><label>h</label>
<p>Disposition index, early phase insulin secretion/HOMA-IR.</p>
</fn>
<fn id="tfn9"><label>i</label>
<p>Matsuda index, formula: 10000&#x002A;(&#x221A;(glucose 0&#x2009;min&#x002A;insulin 0&#x2009;min&#x002A;mean glucose&#x002A;mean insulin))<sup>&#x2212;1</sup>; <sup>&#x002A;</sup>log transformed for value of <italic>p</italic> and numbers presented as geometric mean.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Two participants (1&#x2009;M-, 1&#x2009;PM+) were overweight by both BMI and central obesity criteria. Estimated fitness did not differ between groups in mean, or spread around the mean, when adjusted for sex. Two participants had hyperglycaemia, 1 DM, and 1 impaired fasting glucose, and both were from the PPM+ group. Two participants had C-peptide levels &#x003C;300&#x2009;pmol/L, both from the PPM+ group, and including the participant who had DM.</p>
<p>Skeletal muscle fibre type and enzymatic activities are presented in <xref rid="tab2" ref-type="table">Table 2</xref>. No significant impact of malaria exposure on fibre type and any enzymatic activity were found either before or after adjustment for estimated fitness/min/kg FFM. The correlation between muscle enzyme activities and aerobic estimated fitness (VO<sub>2</sub>/min/kg) levels was significant for CS activity at (0.04 (95% CI: 0.01; 0.07, <italic>p</italic> &#x003C;&#x2009;0.005).</p>
<table-wrap position="float" id="tab2"><label>Table 2</label>
<caption>
<p>Skeletal muscle (m vastus lateralis) fibre type distribution and enzymatic activity presented as mean&#x2009;&#x00B1;&#x2009;SD (<italic>n</italic>&#x2009;=&#x2009;50).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="middle">Malaria negative</th>
<th align="center" valign="middle">Peripheral malaria</th>
<th align="center" valign="middle">Peripheral&#x2009;+&#x2009;placental malaria</th>
<th align="center" valign="middle"><italic>p</italic>-value</th>
<th align="center" valign="middle"><italic>p</italic>-value adjusted<xref rid="tfn10" ref-type="table-fn"><sup>a</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>N</italic></td>
<td align="char" valign="top" char="&#x00B1;">13</td>
<td align="char" valign="top" char="&#x00B1;">28</td>
<td align="char" valign="top" char="&#x00B1;">9</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="6"><italic>Electrophoresis (MHC)</italic><xref rid="tfn11" ref-type="table-fn"><sup>b</sup></xref>
</td>
</tr>
<tr>
<td align="left" valign="top">MHC-I (%)</td>
<td align="char" valign="top" char="&#x00B1;">53.5 &#x00B1; 12.3</td>
<td align="char" valign="top" char="&#x00B1;">50.1 &#x00B1; 11.1</td>
<td align="char" valign="top" char="&#x00B1;">55.8 &#x00B1; 8.2</td>
<td align="char" valign="top" char=".">0.35</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">MHC-IIa (%)</td>
<td align="char" valign="top" char="&#x00B1;">36.4 &#x00B1; 6.2</td>
<td align="char" valign="top" char="&#x00B1;">40.0 &#x00B1; 8.4</td>
<td align="char" valign="top" char="&#x00B1;">38.5 &#x00B1; 6.1</td>
<td align="char" valign="top" char=".">0.44</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">MHC-IIx (%)</td>
<td align="char" valign="top" char="&#x00B1;">8.0 &#x00B1; 12.2</td>
<td align="char" valign="top" char="&#x00B1;">9.9 &#x00B1; 9.0</td>
<td align="char" valign="top" char="&#x00B1;">7.8 &#x00B1; 8.1</td>
<td align="char" valign="top" char=".">0.79</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="6"><italic>Enzymes</italic><xref rid="tfn12" ref-type="table-fn"><sup>c</sup></xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Citrate synthase</td>
<td align="char" valign="top" char="&#x00B1;">5.4 &#x00B1; 1.3</td>
<td align="char" valign="top" char="&#x00B1;">4.8 &#x00B1; 1.3</td>
<td align="char" valign="top" char="&#x00B1;">6.0 &#x00B1; 0.83</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="char" valign="top" char=".">0.54</td>
</tr>
<tr>
<td align="left" valign="top">3-HAD<xref rid="tfn13" ref-type="table-fn"><sup>d</sup></xref></td>
<td align="char" valign="top" char="&#x00B1;">5.4 &#x00B1; 0.81</td>
<td align="char" valign="top" char="&#x00B1;">4.5 &#x00B1; 1.0</td>
<td align="char" valign="top" char="&#x00B1;">5.4 &#x00B1; 0.73</td>
<td align="char" valign="top" char=".">0.01</td>
<td align="char" valign="top" char=".">0.63</td>
</tr>
<tr>
<td align="left" valign="top">Myophosphorylase</td>
<td align="char" valign="top" char="&#x00B1;">15.1 &#x00B1; 3.3</td>
<td align="char" valign="top" char="&#x00B1;">14.4 &#x00B1; 4.1</td>
<td align="char" valign="top" char="&#x00B1;">17.4 &#x00B1; 2.0</td>
<td align="char" valign="top" char=".">0.12</td>
<td align="char" valign="top" char=".">0.38</td>
</tr>
<tr>
<td align="left" valign="top">Phosphofructokinase</td>
<td align="char" valign="top" char="&#x00B1;">21.9 &#x00B1; 6.7</td>
<td align="char" valign="top" char="&#x00B1;">20.1 &#x00B1; 6.3</td>
<td align="char" valign="top" char="&#x00B1;">21.8 &#x00B1; 5.9</td>
<td align="char" valign="top" char=".">0.63</td>
<td align="char" valign="top" char=".">0.78</td>
</tr>
<tr>
<td align="left" valign="top">Lactate dehydrogenase</td>
<td align="char" valign="top" char="&#x00B1;">35.8 &#x00B1; 7.6</td>
<td align="char" valign="top" char="&#x00B1;">30.6 &#x00B1; 7.9</td>
<td align="char" valign="top" char="&#x00B1;">37.3 &#x00B1; 5.1</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="char" valign="top" char=".">0.82</td>
</tr>
<tr>
<td align="left" valign="top">Creatine kinase</td>
<td align="char" valign="top" char="&#x00B1;">466 &#x00B1; 75</td>
<td align="char" valign="top" char="&#x00B1;">415 &#x00B1; 96</td>
<td align="char" valign="top" char="&#x00B1;">496 &#x00B1; 43</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="char" valign="top" char=".">0.70</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn10"><label>a</label>
<p>Adjusted for fitness as expressed as estimated VO<sub>2</sub>max/min/kg fat-free mass.</p>
</fn>
<fn id="tfn11"><label>b</label>
<p>Myosin heavy chain.</p>
</fn>
<fn id="tfn12"><label>c</label>
<p>&#x03BC;mol/min/g wet weight.</p>
</fn>
<fn id="tfn13"><label>d</label>
<p>3-hydroxyacyl-CoA dehydrogenase.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>MHC-I distribution was significantly different between women and men, with women having 47.6 (10.7)% and men 55.3 (10.2)%, respectively (<italic>p</italic>&#x2009;=&#x2009;0.014).</p>
</sec>
<sec id="sec10" sec-type="discussions">
<title>Discussion</title>
<p>The study neither found any impact of foetal malaria exposure on MHC distribution, nor on skeletal muscle enzyme activities, with or without adjustments for estimated fitness expressed by FFM. As this is the first attempt at documenting the effect of combined peripheral and placental malaria on skeletal muscle and their enzymatic activity in adult offspring, direct comparison with other studies is not possible. Nevertheless, increased metabolic demand is a feature of pregnancy (<xref ref-type="bibr" rid="ref43">43</xref>), particularly in the second and third trimesters (<xref ref-type="bibr" rid="ref44">44</xref>). This suggests that skeletal muscle along with the other organs of the offspring of mothers with malaria may have experienced chronic hypoxic insults &#x2013; induced by anaemia &#x2013; which could have led to adaptations such as a change in skeletal muscle with a preference for glycolysis over oxidative metabolism. This is characteristic of the fast twitch muscle (MHC-IIa and IIx) phenotypes, and here we hypothesized that such intrauterine phenotype change would still be evident in adulthood.</p>
<p>There could be two possible reasons for our negative findings on the main outcome variables of this study. First, malaria exposure, and thereby a state of hypoxia in the foetus, may not have been long enough to have had a negative impact. Active malaria attack frequency (duration of &#x201C;active&#x201D; malaria) was 1&#x2013;3&#x2009;weeks in the PPM+ group. Second, malaria prophylaxis blunted the impact of malaria parasitic infection, which could be another reason for the lack of impact on skeletal muscle and enzymatic activity. Furthermore, the negative impact on birth weight due to combined peripheral and placental malaria may have been counteracted due to the use of malaria prophylaxis.</p>
<p>Interestingly, there was a significant difference in the distribution of MHC-I between women and men. The literature is not consistent with regard to the possibility that women have less type I fibre proportion, as we have found. The current data is in agreement with Komi and Karlsson (<xref ref-type="bibr" rid="ref45">45</xref>), but contrary to the findings of (<xref ref-type="bibr" rid="ref46">46</xref>), both of which were studies in non-African populations.</p>
<p>In line with our recent study from a slightly larger group of study participants (<italic>n</italic>&#x2009;=&#x2009;76) (<xref ref-type="bibr" rid="ref34">34</xref>), we found higher plasma glucose after 30&#x2009;min after glucose ingestion, but this time also a higher fasting plasma glucose level in the PPM+ group. Furthermore, disposition index (early phase insulin secretion/homoeostasis model assessment of insulin resistance) was significantly lower in the PPM+ group compared to the M-group. Plasma glucose elevations could arise from either insulin resistance or impaired pancreatic insulin secretion, with skeletal muscle being the major tissue involved in insulin stimulated peripheral glucose uptake, and thus also insulin resistance (<xref ref-type="bibr" rid="ref15">15</xref>). Cross-sectional comparison between obese individuals and obese individuals with type 2 DM found a lower type I fibre proportion in those with type 2 DM (<xref ref-type="bibr" rid="ref47">47</xref>); thus alterations of skeletal muscle fibre type compositions and/or enzymatic activities, might have contributed to insulin resistance in the offspring exposed to foetal malaria. Previous research has associated LBW with skeletal muscle characteristics in adulthood and the risk of developing insulin resistance (<xref ref-type="bibr" rid="ref31">31</xref>). The young adults in the study with LBW did not differ from age-matched controls in Type I or type II fibre proportions, but considering the assessment of the subgroups of type II fibres, the LBW group had lower type IIa compared to type IIx fibres. As mentioned in the introduction, muscles with high oxidative metabolism have better capacity to take up glucose (<xref ref-type="bibr" rid="ref21">21</xref>), hence the LBW fibre type transformation could have contributed to insulin resistance. Nyholm et al. (<xref ref-type="bibr" rid="ref48">48</xref>) specifically related insulin resistance in relatives of persons with type 2 DM with type IIx fibre proportion. However, the current study indicated no difference in the subgroups of type II fibres, based on MHC assessment. Of note is that the study participants in the Nyholm et al. (<xref ref-type="bibr" rid="ref48">48</xref>) study had high levels of type IIx fibres (close to 30%) whereas in the African cohort of the current study, the proportion of fast glycolytic fibres indicated by MHC-IIx content was low (less than 10%). Although oxidative enzyme activity, specifically CS activity was related to whole body oxidative capacity in the current study, there were no differences between groups; therefore, the higher circulating glucose levels during the OGTT cannot be explained by low capacity of <italic>m</italic>. vastus lateralis to oxidise carbohydrates. It has previously been shown that fibre type proportions of <italic>m</italic>. vastus lateralis biopsy samples were not correlated to insulin-stimulated glucose uptake in obese persons with low glucose tolerance (<xref ref-type="bibr" rid="ref49">49</xref>). Although, insulin-stimulated glucose uptake was lower in all muscle groups tested, it was significantly greater for <italic>m</italic>. erector spinae than <italic>m</italic>. rectus abdominis, which are predominantly higher in type I fibres or type II fibres, respectively. Hence, correlations between glucose dynamics and proportion of fibre types in muscles known to have mixed fibre type (of which <italic>m</italic>. vastus lateralis is a frequently assessed example), is most likely less sensitive than when muscles high in a particular fibre type are assessed either in rats or humans. This suggested explanation for our results and those of Koh et al. (<xref ref-type="bibr" rid="ref49">49</xref>) may be overcome by higher number of study participants.</p>
<p>Nevertheless, our OGTT-stimulated plasma glucose results show that the PPM+ group had an abnormal glucose metabolism. The reduced disposition index indicates that compromised insulin secretion is the main factor behind the increased glucose levels. However, as disposition index is calculated via adjustment for insulin resistance, the reduced disposition index cannot <italic>a priori</italic> exclude the possibility of reduced insulin sensitivity either at hepatic or skeletal muscle level. Hepatic insulin resistance is partly included in the homoeostasis model assessment of insulin resistance, but sensitivity is not reduced in the PPM+ group. However, disposition index does not adjust for peripheral insulin resistance in the skeletal muscle. In brief, the data we present do not indicate insulin resistance in the skeletal muscle, which supports that impaired insulin secretion rather than insulin resistance, explains the mild elevations of plasma glucose levels in the PPM+ group.</p>
<p>Apart from an effect on blood flow from the placenta causing compromised oxygen supply to the foetus, malaria infection has also been shown to affect the microvasculature of several organs of the host (<xref ref-type="bibr" rid="ref50">50</xref>, <xref ref-type="bibr" rid="ref51">51</xref>), here the pregnant woman. This causes metabolic stress, and potentially hypoglycaemia (<xref ref-type="bibr" rid="ref52">52</xref>), which may compromise nutrient supply to the foetus. However, as the baseline study on malaria prophylaxis was not designed to address metabolic consequences of the pregnant women, blood sugar was not measured, and we remain with the birth weight of the offspring as a proxy for compromised intrauterine growth. Furthermore, birth weight was not compromised in the PPM+ group compared to the two other groups, even if the proportion of LBW had a tendency to be higher. Nevertheless, we have recently shown that insulin levels were lower in early pregnancy anaemia-exposed umbilical cord blood, supporting the notion of developmental programming of pancreatic beta-cell dysfunction and subsequently increased risk of type 2 DM in offspring of mothers with early pregnancy anaemia (<xref ref-type="bibr" rid="ref53">53</xref>).</p>
<p>We acknowledge several limitations to the current study. First, malaria prophylaxis/suppression may have blunted adverse physiological effects of placental and peripheral malaria infection. As the biopsies were taken in a fasting and not in a stimulated state, we may have missed the detection of higher response related to enzyme activity and thereby differences between groups. Importantly, the study may have been underpowered by small sample sizes, which may have resulted in a statistical type II error. Finally, placental malaria infection changes persist endlessly. Whereas placental swab (thick blood smear) detects active infection, past infection is detected through histopathological changes (<xref ref-type="bibr" rid="ref54">54</xref>). Unfortunately, histopathological examination results for this study group could not be backtracked, which is an analytical limitation as some past infected placenta may have been missed.</p>
<p>In conclusion, skeletal muscle fibre types or enzymatic activities were not different across groups. Mean fasting and OGTT-derived glucose levels were higher in the group exposed to foetal peripheral and placental malaria and detection of hyperglycaemia as well as low C-peptide levels at the individual level were all from the peripheral and placental malaria exposed group. Compromised insulin secretion rather than insulin resistance seems to be the primary defect, but this needs to be determined in larger and/or methodologically more sophisticated studies.</p>
</sec>
<sec id="sec11" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="sec12">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by National Institute of Medical Research (NIMR/HQ/R.8a/vol.IX/916). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="sec13">
<title>Author contributions</title>
<p>DC, IB, TM, KR, AV, and KM: contributors conceptualization. DC, AV, JN, and TM: data collection. DC and KM: formal analysis. DC, AV, and KM: writing (original draft). DC, TM, IB, AV, LG, FL-T, JN, CS, KR, and KM: writing (review and editing). DC and KM take full responsibility for the work. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec14" sec-type="funding-information">
<title>Funding</title>
<p>The study was funded by Thorvald Madsen&#x2019;s Foundation for the Advancement of Medical Sciences and Brdr Hartmann&#x2019;s Foundation.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>DC has received payment from Novo Nordisk Mexico for consultancy work. AV is a shareholder in Astra Zeneca.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<p>The authors appreciate the participation of the mothers and offspring in the study. Furthermore, we owe great thanks to our lab technician Lars Sander Koch at Steno Diabetes Center Copenhagen, who assisted with data collection in the field together with a team of local lab technicians and nurses (Edna, Mazige, Naftali, and Innocent) at Muheza Designated District Hospital, as well as Tatizo Waane from Jakaya Kikwete Cardiac Institute, Muhimbili National Hospital, Dar es Salaam, Tanzania, who assisted in taking muscle biopsies. Lastly, we are thankful to former District Medical Officer at Muheza Designated District Hospital, Rajabu Mallahiyo.</p>
</ack>
<sec id="sec16" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2023.1122393/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2023.1122393/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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