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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1622435</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Exploring the <italic>P. falciparum</italic> antigens associated with reduced risk of malaria in pregnancy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Mwai</surname>
<given-names>Lucy</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Musundi</surname>
<given-names>Sebastian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Waweru</surname>
<given-names>Harrison</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Nagaoka</surname>
<given-names>Hikaru</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Limbua</surname>
<given-names>Purity Gacheri</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Tsuboi</surname>
<given-names>Takafumi</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<contrib contrib-type="author">
<name>
<surname>Takashima</surname>
<given-names>Eizo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gitaka</surname>
<given-names>Jesse</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kanoi</surname>
<given-names>Bernard N.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Centre for Malaria Elimination, Institute of Tropical Medicine, Mount Kenya University</institution>, <addr-line>Thika</addr-line>,&#xa0;<country>Kenya</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Division of Malaria Research, Proteo-Science Center, Ehime University</institution>, <addr-line>Matsuyama</addr-line>,&#xa0;<country>Japan</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>School of Pure and Applied Sciences, Mount Kenya University</institution>, <addr-line>Thika</addr-line>,&#xa0;<country>Kenya</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Division of Cell-Free Sciences, Proteo-Science Center, Ehime University</institution>, <addr-line>Matsuyama</addr-line>,&#xa0;<country>Japan</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Fabrizio Bruschi, University of Pisa, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yaw Aniweh, University of Ghana, Ghana</p>
<p>Sonalika Kar, National Institute of Malaria Research (ICMR), India</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Bernard N. Kanoi, <email xlink:href="mailto:bkanoi@mku.ac.ke">bkanoi@mku.ac.ke</email>; Jesse Gitaka, <email xlink:href="mailto:jgitaka@mku.ac.ke">jgitaka@mku.ac.ke</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1622435</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Mwai, Musundi, Waweru, Nagaoka, Limbua, Tsuboi, Takashima, Gitaka and Kanoi</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Mwai, Musundi, Waweru, Nagaoka, Limbua, Tsuboi, Takashima, Gitaka and Kanoi</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>
<p>
<italic>Plasmodium falciparum</italic> infection in pregnancy leads to substantial maternal and infant morbidity and mortality. Such an infection may result in placental malaria (PM) due to <italic>P. falciparum</italic>-infected red blood cells adhering to the placenta via parasite-derived ligands. Despite the risk of infection being the same for women of all gravidities, the risk of poor birth outcomes is highest in primigravida women as they lack protective antibodies against placental malaria-associated parasites. Thus, understanding how specific <italic>P. falciparum</italic> antigens interact with the host&#x2019;s immune system during the first and subsequent pregnancies may provide insights into the immunopathology of malaria and guide vaccine target prioritization. In this study, we assessed human antibody responses to 698 P<italic>. falciparum</italic> recombinant antigens derived from different antigen families among Kenyan primigravida and multigravida women. Consistent with existing literature, we observed high immunoreactivity across the different antigen families, with the number of antigens identified by sera from pregnant women increasing with gravidity. Antibody response analysis selected 3 antigens: PF3D7_1301800 (SURFIN 13.1), PF3D7_0424400 (SURFIN 4.2), and PF3D7_1252100 (rhoptry neck antigen 3 domain) as statistically significant in multigravida. While all five VAR2CSA domains were immunoreactive with seroprevalence of 42 - 62% and correlated with the selected antigens, which suggests co-acquisition, none had statistical significance in association with gravidity. Thus, although further characterization of the selected antigens will be required, this study may provide insights into targets that could be prioritized for vaccine development to reduce risks associated with malaria in pregnancy.</p>
</abstract>
<kwd-group>
<kwd>malaria in pregnancy</kwd>
<kwd>placental malaria. gravida</kwd>
<kwd>antibodies</kwd>
<kwd>immunity</kwd>
<kwd>bloodstage proteins</kwd>
</kwd-group>
<contract-num rid="cn001">JP23KK0140, JP24K02273</contract-num>
<contract-num rid="cn002">JP23wm0325038, JP25jm0210110</contract-num>
<contract-num rid="cn003">TMA2020CDF-3203</contract-num>
<contract-num rid="cn004">FLR/R1/201314</contract-num>
<contract-sponsor id="cn001">Japan Society for the Promotion of Science<named-content content-type="fundref-id">10.13039/501100001691</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Japan Agency for Medical Research and Development<named-content content-type="fundref-id">10.13039/100009619</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">European and Developing Countries Clinical Trials Partnership<named-content content-type="fundref-id">10.13039/501100001713</named-content>
</contract-sponsor>
<contract-sponsor id="cn004">Royal Society<named-content content-type="fundref-id">10.13039/501100000288</named-content>
</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="9"/>
<word-count count="3704"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Parasite Immunology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>In regions of malaria endemicity, pregnant women are at high risk of <italic>Plasmodium falciparum</italic> infection, which could lead to infection of the placenta leading to placental malaria (PM) (<xref ref-type="bibr" rid="B1">1</xref>). PM accounts for about 10,000 maternal and 200,000 infant deaths worldwide, mostly due to inflammatory and adverse outcomes, namely severe maternal anemia and low birth weight (<xref ref-type="bibr" rid="B2">2</xref>). With over 25 million pregnancies at risk of infection in sub-Saharan Africa and loss of efficacy of sulfadoxine-pyrimethamine intermittent preventive treatment during pregnancy due to the emergence of <italic>P. falciparum</italic> resistance to the drug (<xref ref-type="bibr" rid="B3">3</xref>), it calls for the development of new interventions. Malaria vaccines offer the best approach for reduced transmission in addition to other tools currently available for malaria control, including vector control, chemoprophylaxis, prompt diagnosis, and use of effective anti-malarial drugs (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Association between levels of antibodies and the risk of clinical malaria has pointed to an important role of <italic>P. falciparum</italic> antigens in children and malaria in pregnancy (MiP) (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). However, the effector mechanisms of these antibodies are incompletely understood. In pregnancy, multigravida mothers are at lower risk of PM-associated complications mainly due to the acquisition of protective antibodies that are thought to prevent the accumulation of infected red blood cells (iRBCs) in the intervillous space of the placenta (<xref ref-type="bibr" rid="B8">8</xref>). The majority of studies, including vaccine trials, focus on understanding and evaluating the role played by VAR2CSA, a unique member of <italic>P. falciparum</italic> erythrocyte membrane protein 1 (PfEMP1) family that is upregulated in placental malaria-associated parasites, that has been associated with adverse pregnancy outcomes by its interaction with placental chondroitin sulphate A (CSA) (<xref ref-type="bibr" rid="B9">9</xref>). It was recently demonstrated that Cameroonian women who were negative for PM at delivery had significantly higher antibody levels to the Full-length VAR2CSA (FV2) region of VAR2CSA throughout the pregnancy and that women with a high proportion of high avidity antibody to the FV2 region during the second trimester had a reduced risk of having PM at delivery (<xref ref-type="bibr" rid="B10">10</xref>). Indeed, VAR2CSA is the only antigen under consideration as a malaria vaccine for malaria in pregnancy (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). However, recent studies have identified some invariant red blood cell plasmodium surface proteins co-expressed with VAR2CSA such as; PF3D7_0424000 and PF3D7_0936900, which are Poly-Helical Interspersed Sub-Telomeric (PHIST) exported proteins, PF3D7_0202400 a Plasmodium Translation Enhancing Factor (PTEF) and the <italic>P. falciparum</italic> chondroitin sulfate A ligand, (PfCSA-L; PF3D7_1001000) whose mechanism in PM pathogenesis could be explored (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). There is inconsistent data regarding the molecules to target for vaccine development, highlighting the urgent need for in-depth studies to identify the ideal proteins of <italic>P. falciparum</italic> that can generate functionally protective antibodies against MiP. This study aims to identify these target proteins of <italic>P. falciparum</italic> in a region of stable malaria transmission in Kenya, with the goal of exploring their potential in the development of placental malaria vaccines.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Study population</title>
<p>The serum samples used in this study were obtained from a well-characterized biobank of a prospective cohort of pregnant Kenyan women (n=53) between 12&#x2013;18 weeks of gestation visiting Webuye County Hospital, Bungoma County, Kenya. The county is located in a malaria hyperendemic region where residents have been exposed to malaria infection since childhood (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). The study included women who were under routine intermittent preventive treatment in pregnancy (IPTp) with sulfadoxine-pyrimethamine (IPTp-SP), and who were in the first or early second trimester of pregnancy. Serum samples were collected 4 weeks after the IPTp, immediately frozen, and shipped on dry ice to the laboratories at Mount Kenya University, where they were carefully stored uninterrupted in a -80&#xb0;C deep freezer. Each serum sample was linked to its corresponding anonymized demographic data and pregnancy outcome information gathered during both scheduled and unscheduled hospital visits. The study excluded women with conditions such as tuberculosis or other known comorbidities.</p>
</sec>
<sec id="s2_2">
<title>Production of a <italic>P. falciparum</italic> parasite antigen library</title>
<p>The assayed antigens, produced using the wheat germ cell-free system (WGCFS), consisted of broad range of asexual blood-stage proteins (BSP; n = 158) and variable surface antigens (VSAs);<italic>P. falciparum</italic> erythrocyte membrane protein 1 (PfEMP1): Duffy binding&#x2013;like domains (DBL; n= 163) and cysteine-rich interdomain regions (CIDR; n = 108), repetitive interspersed family proteins (RIFINs; n =182), surface-associated interspersed gene family proteins (SURFINs; n = 33), and subtelomeric variable open reading frame proteins (STEVORs; n= 54) as previously reported (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). VSAs are predominantly expressed on the surface of infected erythrocytes during the trophozoite-schizont stages. These 698 <italic>Plasmodium falciparum</italic> antigens included in this study were prioritized based on their previously reported serological reactivity, functional relevance in parasite-host interactions (e.g., cytoadherence, immune evasion), and expression during the asexual blood stage&#x2014;the primary stage associated with clinical disease.</p>
<p>Briefly, the transcription templates for the 698 proteins were prepared from genomic DNA or complementary DNA of <italic>P. falciparum</italic> 3D7 strain amplified by polymerase chain reaction using high fidelity PrimeSTAR DNA polymerase (Takara Bio, Kusatsu, JP), and cloned into pEU plasmid vector (CellFree Sciences, Matsuyama, Japan) with In-Fusion HD Cloning Kit. The N-terminus His-tagged mono-biotinylated recombinant proteins were expressed by the WGCFS (<xref ref-type="bibr" rid="B21">21</xref>). Protein expression was confirmed by Western blot analysis using HRP-labelled streptoavidin (<xref ref-type="bibr" rid="B21">21</xref>).</p>
</sec>
<sec id="s2_3">
<title>Antibody quantification by AlphaScreen assay</title>
<p>To assess the level of acquisition of anti-<italic>P. falciparum</italic>-specific antibodies in the malaria-exposed pregnant women cohort, we performed an AlphaScreen assay (PerkinElmer) with all the 698 recombinant proteins as described (<xref ref-type="bibr" rid="B23">23</xref>). The AlphaScreen assay readout was presented as AlphaScreen Counts (ASC). To standardize assay variability, serially diluted biotinylated rabbit IgG (PerkinElmer) was included in each plate. The assays were run in randomized order.</p>
</sec>
<sec id="s2_4">
<title>Statistical analysis</title>
<p>The data analysis was performed using the R software (Version 4.2.1, R Foundation for Statistical Computing). The antigen seropositivity cut-off value to human sera was set above the assay background readout, and an antigen was considered immunoreactive if more than 10% of the participants had ASC levels above the seropositivity cut-off. A linear regression model was used to evaluate significant associations of antibody breadth based on age and hemoglobin levels. Kruskal&#x2013;Wallis test with pairwise adjustments was used to evaluate the association of antibody breadth between primigravida and multigravida women groups. Then, a volcano scatter plot was generated; which is a graphical representation of a differential antibody response analysis to evaluate and represent changes in antibody response to <italic>P. falciparum</italic> antigens between primigravida and multigravida. P &lt; 0.05 was considered significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Characteristics of the pregnant women in this study</title>
<p>The serum samples used in this prospective study were obtained from a cohort of pregnant women visiting Webuye Level IV Hospital, Bungoma County, Kenya (n = 53). The participants were spread across gravida 1 to 5 and were aged between 19&#x2013;42 years. Their ages were significantly different across gravida groups (Kruskal Wallis test, p &lt; 0.05) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The overall mean hemoglobin level was 13.3 g/dl. There were four <italic>P. falciparum</italic>-positive malarial infections at enrollment by rapid diagnostic test (RDT). The majority of the births had normal newborn birth weight, with a mean of 3.22kg. Only one miscarriage was observed.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of the pregnant women study population.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Characteristics</th>
<th valign="bottom" colspan="5" align="center">Gravida stratification</th>
<th valign="bottom" rowspan="2" align="center">Overall</th>
<th valign="bottom" rowspan="2" align="center">p-value ~</th>
</tr>
<tr>
<th valign="bottom" align="center">1</th>
<th valign="bottom" align="center">2</th>
<th valign="bottom" align="center">3</th>
<th valign="bottom" align="center">4</th>
<th valign="bottom" align="center">5</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">Number of<break/>participants [n]</td>
<td valign="bottom" align="left">12</td>
<td valign="bottom" align="left">17</td>
<td valign="bottom" align="left">13</td>
<td valign="bottom" align="left">6</td>
<td valign="bottom" align="left">5</td>
<td valign="bottom" align="left">53</td>
<td valign="bottom" align="left">
</td>
</tr>
<tr>
<td valign="bottom" align="left">Age [Years] `</td>
<td valign="bottom" align="left">25 [19 &#x2013; 36]</td>
<td valign="bottom" align="left">26 [20 &#x2013; 35]</td>
<td valign="bottom" align="left">28 [20 &#x2013; 37]</td>
<td valign="bottom" align="left">26 [21 &#x2013; 36]</td>
<td valign="bottom" align="left">37 [33 &#x2013; 42]</td>
<td valign="bottom" align="left">27 [19 &#x2013; 42]</td>
<td valign="bottom" align="left">0.001</td>
</tr>
<tr>
<td valign="bottom" align="left">HB [g/dl] #</td>
<td valign="bottom" align="left">13.75 [1.75]</td>
<td valign="bottom" align="left">13.2 [1.54]</td>
<td valign="bottom" align="left">13.54 [1.59]</td>
<td valign="bottom" align="left">14.15 [1.88]</td>
<td valign="bottom" align="left">11.36 [1.07]</td>
<td valign="bottom" align="left">13.34 [1.70]</td>
<td valign="bottom" align="left">0.051</td>
</tr>
<tr>
<td valign="bottom" align="left">Immunoreactive Antigens #</td>
<td valign="bottom" align="left">410 [113.86]</td>
<td valign="bottom" align="left">415.18 [143.70]</td>
<td valign="bottom" align="left">446.38 [139.88]</td>
<td valign="bottom" align="left">356.33 [81.88]</td>
<td valign="bottom" align="left">282.8 [169.45]</td>
<td valign="bottom" align="left">402.51 [136.51]</td>
<td valign="bottom" align="left">0.194</td>
</tr>
<tr>
<td valign="bottom" align="left">Malaria infection at enrollment (by RDT)</td>
<td valign="bottom" align="left">1 [8.3]</td>
<td valign="bottom" align="left">1 [5.9]</td>
<td valign="bottom" align="left">1 [7.7]</td>
<td valign="bottom" align="left">0 [0.0]</td>
<td valign="bottom" align="left">1 [20.0]</td>
<td valign="bottom" align="left">4 [7.5]</td>
<td valign="bottom" align="left">0.794</td>
</tr>
<tr>
<td valign="bottom" align="left">Pregnancy Outcome<break/>Alive *</td>
<td valign="bottom" align="left">12 [100.0]</td>
<td valign="bottom" align="left">16 [94.1]</td>
<td valign="bottom" align="left">13 [100.0]</td>
<td valign="bottom" align="left">6 [100.0]</td>
<td valign="bottom" align="left">5 [100.0]</td>
<td valign="bottom" align="left">52 [98.1]</td>
<td valign="bottom" align="left">0.707</td>
</tr>
<tr>
<td valign="bottom" align="left">Newborn Birth Weight [Kgs] #</td>
<td valign="bottom" align="left">3.24 [0.28]</td>
<td valign="bottom" align="left">3.23 [0.25]</td>
<td valign="bottom" align="left">3.1 [0.32]</td>
<td valign="bottom" align="left">3.48 [0.22]</td>
<td valign="bottom" align="left">3.24 [0.36]</td>
<td valign="bottom" align="left">3.22 [0.29]</td>
<td valign="bottom" align="left">0.185</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>&#xb6;</sup>Median and [Interquartile range].</p>
</fn>
<fn>
<p>*Number [Percentage in each group].</p>
</fn>
<fn>
<p>
<sup>#</sup>Mean [Standard Deviation].</p>
</fn>
<fn>
<p>&#x223c;Kruskal-Wallis rank sum test, Significance &lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Seroprevalence of serum antibodies to various <italic>P. falciparum</italic> antigens</title>
<p>To determine the seroprevalence among the pregnant women in the cohort, we evaluated the reactivities of the serum obtained from the pregnant women (n=53) against a library of recombinant antigens (n=698) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>). The seroprevalence variedsignificantly among the antigen groups: BSP (3.8-100%), CIDR domains (7.6-94.3%), DBL domains (1.9-100%), RIFIN (1.9-94.3%), STEVORs (1.9-77.4%) and SURFINs (22.6-96.2%) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The DBLs had the highest seroprevalence, with a median of 64.2%, while STEVORs had the lowest median of 40.6%. All the SURFINs were immunoreactive with a seroprevalence above the threshold cut-off point of 10%. Only a small number of BSP, CIDR, DBL, RIFIN, and STEVOR were not immunoreactive (Kruskal-Wallis rank; P&lt; 0.05). The observed antibodies against the <italic>P. falciparum</italic> library indicated that this population was previously exposed to malaria infection. Therefore, the observed outcomes were influenced by the abundance or efficacy of this immunity.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Immunoreactivity and seroprevalence of antibodies to <italic>Pf</italic> antigen families (BSPs, CIDRs, DBLs, RIFINs, STEVORs, and SURFINs). (Antibody immunoreactivity in the cohort of pregnant women to asexual blood stage antigens (BSP), CIDR (cysteine-rich interdomain regions of PfEMP1), DBL (Duffy binding&#x2013;like domains of PfEMP1), RIFIN (repetitive interspersed family proteins), SURFIN (surface-associated interspersed gene family proteins) and STEVOR (subtelomeric variable open reading frame proteins). Box plots illustrate the overall medians of each protein group at the horizontal line per group. The dashed red horizontal line indicates a 10% seroprevalence that was set as the antigens immunoreactivity cut-off point.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1622435-g001.tif">
<alt-text content-type="machine-generated">Box plots displaying antibody immunoreactivity and seroprevalence in pregnant women to six P. falciparum protein families: BSPs, CIDRs, DBLs, RIFINs, STEVORs, and SURFINs. Sample sizes (n) are noted above each box. Each group&#x2019;s median immunoreactivity is indicated by a horizontal line within the box. A red dashed line at 10% seroprevalence marks the cut-off for significant antibody response.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<title>Relationship between antibody breadth with age, hemoglobin levels, gravida, and malaria infection status</title>
<p>To determine the relationship between the antibody breadth (number of antigens recognized) by age, hemoglobin levels, gravida, and malaria infection status for each participant in the prospective study, we carried out association analysis. The overall median and range of antigens recognized by the participants were 419 and 87- 652, respectively. Further, we generated a linear regression model for the antibody breadth versus the age of participants (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). No significant correlation was found between antibody breadth and participants&#x2019; age (Spearman&#x2019;s correlation, R = -0.079, P=0.58).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Breadth of Antibody Responses Against P. falciparum Antigens. <bold>(A)</bold> Correlation between the breadth of antibody responses and pregnant women's ages. Spearman's correlation coefficients (R) and significance P-values are shown. The blue line represents the linear regression line, while the gray area indicates the 95% confidence interval. There is a non-significant negative correlation between the age of participants and the number of P. falciparum antigens recognized. <bold>(B)</bold> Correlation between the breadth of antibody responses and hemoglobin levels. The blue line represents the linear regression line. There is a weak, non-significant positive correlation between participants' serum antibodies and hemoglobin levels. <bold>(C)</bold> Distribution of breadth of antibody responses across gravidae 1 to 5. The box plots illustrate the overall medians of antigens recognized (indicated by the horizontal line) per gravida. The medians are: gravida 1 = 410.5, gravida 2 = 439, gravida 3 = 491, gravida 4 = 369, and gravida 5 = 174.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1622435-g002.tif">
<alt-text content-type="machine-generated">Three graphs analyze the breadth of antibody responses to P. falciparum antigens in pregnant women. (A) A scatter plot shows age versus antibody breadth with a slight, non-significant negative correlation (y = 480 &#x2013; 2.9x, R = &#x2013;0.079, p = 0.58). (B) A scatter plot of hemoglobin versus antibody breadth shows a weak, non-significant positive trend (y = 360 + 3x, R = 0.085, p = 0.54). (C) A box plot compares antibody breadth across gravida 1&#x2013;5, with variation in median responses; the highest median is in gravida 3 (491), lowest in gravida 5 (174).</alt-text>
</graphic>
</fig>
<p>Additionally, PM is characterized by reduced plasma hemoglobin levels due to hemolysis of infected and uninfected red blood cells (<xref ref-type="bibr" rid="B24">24</xref>). In this study, the pregnant women cohort showed normal hemoglobin levels above 10 g/dl. We generated a linear regression model for the antibody breadth versus the hemoglobin levels of the participants (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). No significant correlation was found (Spearman R = 0.085, P = 0.54) between participants&#x2019; serum antibodies and hemoglobin levels.</p>
<p>Finally, since the risk of malaria-associated poor birth outcomes decreases with increasing gravidity, making gravida a clear indicator of PM immunity, we assessed the antibody responses in women of different gravida (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). We found that the number of <italic>P. falciparum</italic> antigens recognized by participants&#x2019; antibodies increased with the participants&#x2019; gravidity up to gravida 3 (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>) (<xref ref-type="bibr" rid="B8">8</xref>). This suggests that specific multiple antigens may play a role in protective immunity against PM. We further evaluated the effect of malaria status in multigravida women. Only 3 women had positive malaria infection at enrollment. Positive malaria cases showed a trend of increased antibody response across all protein families except in the STEVOR family, where the median for both positive and negative cases was equal (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure S1</bold>
</xref>) (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec id="s3_4">
<title>Differential antibody response analysis by gravida</title>
<p>In order to identify which parasite antigens may be responsible for the variation in antibody response between pregnant women, we created a volcano scatter plot to analyze the differential antibody response. This analysis revealed differences in the antibody response to <italic>P. falciparum</italic> antigens between primigravida women (gravida 1) and multigravida women (gravida 2 and 3). We did not include data from women (gravida 4 and 5) due to the limited number of samples available. The mean antibody responses to three of the 698 were significantly higher in multigravida women than in primigravida women (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>). Of the three antigen domains, two were SURFIN domains; (PF3D7_1301800 - SURFIN 13.1 and PF3D7_0424400 - SURFIN 4.2, and one was a blood stage protein; (PF3D7_1252100 - rhoptry neck protein 3). However, primigravida women responded significantly to a greater number of <italic>P. falciparum</italic> proteins compared to the multigravida women. Although, two domains of VAR2CSA namely; PF3D7_1200600_CIDRpam and PF3D7_1200600_DBLe10 were recognized by in multigravida women, no significant antibody responses to this antigen was observed.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>A volcano scatter plot showing differential antibody response analysis between primigravida vs multigravida. This graph indicates the fold change on the x-axis and p-values on the y-axis. The points represent individual mean ASC counts of antigen domains colored according to significance by gravida (Significant values p&lt;0.05, fold change &lt; 0 (blue colour), p&lt;0.05, fold change &gt;0 (red colour), and non - significant values &gt; 0.05 grey colour). The total significant antigens by fdr unadjusted analysis are (13 primigravida and 3 multigravida).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1622435-g003.tif">
<alt-text content-type="machine-generated">Volcano plot comparing antibody responses between primigravid and multigravida women. X-axis shows log2 fold change; y-axis shows &#x2013;log10 p-values. Each dot represents an antigen. Red and blue indicate significant responses in multigravida and primigravida, respectively (p&lt;0.05); grey denotes non-significant. Thirteen antigens are upregulated in primigravida, three in multigravida. The plot suggests gravidity influences immune responses to P. falciparum antigens.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In malaria-endemic regions, there is a strong negative association between gravidity and poor birth outcomes from placental malaria (PM) (<xref ref-type="bibr" rid="B26">26</xref>) such that, poor birth outcomes are mainly experienced by primigravida women. Although there is evidence showing that the VAR2CA mediates the adhesion of <italic>P. falciparum</italic> parasite to CSA in placenta and that the acquisition of antibodies against this VAR2CSA are parity-dependent, direct epidemiological proof that VAR2CSA antibodies prevent PM and associated adverse pregnancy and birth outcomes has been inconsistent (<xref ref-type="bibr" rid="B27">27</xref>). Therefore, this study aimed to investigate antibody responses in a cohort of pregnant women and found a high seroprevalence against antigens expressed in various stages of the malaria parasite&#x2019;s life cycle, specifically those expressed in the merozoite stage (BSP), and on the surface of iRBCs (PfEMP1, RIFIN, SURFIN, and STEVOR).</p>
<p>Consistent with previous studies, women with successive pregnancies had a wider breadth of antibody response to a broad range of parasite proteins with an increase in gravidity, for gravida 1 to 3 (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>). The analysis of the breadth of antibody response to the antigen library was further extrapolated based on age, hemoglobin levels and the differential antibody response based on gravida (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Through these analyses, we explored the key antigenic targets that are attributed to the observed differences in gravidity namely; PF3D7_1301800 (SURFIN 13.1) and PF3D7_0424400 (SURFIN 4.2), and PF3D7_1252100 (rhoptry neck protein 3, PfRON3). These antigens had seropositivity of 30%, 62%, and 69%, respectively, in the pregnant women cohort. SURFIN family antigens have been reported as targets of naturally acquired immunity against malaria infections (<xref ref-type="bibr" rid="B21">21</xref>). The PF3D7_1301800 (SURFIN 13.1) is understudied but has been predicted to be involved in cell surface adhesion, hence supporting the sequestration of iRBCs (<xref ref-type="bibr" rid="B30">30</xref>). On the other hand, PF3D7_0424400 (SURFIN 4.2) has been established to colocalize with PfEMP1 on the iRBCs membrane as well as the merozoite surface, hence it could also be important for parasite growth in the blood-stage development (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). PfRON3 (blood stage antigen) has been shown to form a complex with <italic>P. falciparum</italic> rhoptry-associated membrane antigen (PfRAMA), resulting in a novel PfRON3/PfRAMA rhoptry antigen complex on the <italic>P. falciparum</italic> merozoite. The complex has a role in the invasion of red blood cells by merozoites (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>In most studies on placental malaria, VAR2CSA&#x2014;a member of the PfEMP1 family&#x2014;has been intensively investigated as a vaccine candidate using laboratory parasite strains (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B33">33</xref>). In contrast, our study did not identify VAR2CSA domains among the key antigens associated with gravidity, although PF3D7_1200600_DBLe10 and PF3D7_1200600_DBLpam3 were immunoreactive in 60% and 45% of participants, respectively. Such discrepancy with prior findings may be attributed to differences in the study design employed, notably the timing of antibody measurement, since VAR2CSA&#x2010;specific IgG may peak later in pregnancy or postpartum and be missed in cross-sectional assays like the one used in this study (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Another factor could be population genetics, given that VAR2CSA exhibits extensive allelic diversity and gene duplication in African field isolates this may have lead to potential underestimation of antibody responses when using laboratory strain&#x2013;derived antigens in prior studies (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Methodological differences, such as the use of truncated versus full-length VAR2CSA constructs, assay platforms, and antigen folding can further influence epitope presentation and detection sensitivity (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>Our findings therefore challenge the universality of the current VAR2CSA-focused vaccine strategies, that is, PRIMVAC and PAMVAC, which aim to elicit inhibitory IgG against specific CSA-binding domains (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). To broaden protective coverage across diverse field isolates, inclusion of multiple VAR2CSA variants or epitopes and supplementary antigens such as SURFIN 13.1, SURFIN 4.2 and PfRON3 recognized in this study may be warranted. Ultimately, multicomponent vaccine formulations that combine VAR2CSA domains with other blood-stage or surface antigens hold promise for achieving parity-independent protection against placental malaria (<xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>On the other hand, primigravida women participants in this study responded significantly to a greater number of <italic>P. falciparum</italic> proteins. Previous studies have shown that primigravida women are more susceptible to malaria infection during pregnancy (<xref ref-type="bibr" rid="B41">41</xref>) because of factors such as pregnancy-related immunosuppression (<xref ref-type="bibr" rid="B42">42</xref>) and more recently, the fact that the placenta provides a unique environment for malaria parasite sequestration inducing increased antibody response in women who get pregnant for the first time (<xref ref-type="bibr" rid="B43">43</xref>). This placental sequestration of <italic>P. falciparum</italic> is mediated primarily by variant surface antigens on iRBCs, most notably PfEMP1; a family encoded by the var gene repertoire of approximately 50&#x2013;60 distinct genes per haploid genome (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Expression of var genes is strictly mutually exclusive, where, only a single PfEMP1 variant is displayed at any given time, through heterochromatin silencing and locus repositioning mechanisms (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B45">45</xref>),. Periodic switching among var genes drives antigenic variation, allowing the parasite to evade host antibodies and maintain chronic malarial infection (<xref ref-type="bibr" rid="B43">43</xref>). In our cohort of primigravida women, seven of the thirteen differentially recognized antigens were PfEMP1 variants, underscoring the extensive heterogeneity of var expression among field isolates and its influence on parity&#x2010;dependent immune responses time (<xref ref-type="bibr" rid="B46">46</xref>). The most significant seropositive antigen among the PfEMP1 recognized in primigravida women was PF3D7_0533100 (<italic>var1csa</italic>), which was annotated as a pseudogene in the 3D7 strain. However, interestingly, Cabral et&#xa0;al. (<xref ref-type="bibr" rid="B44">44</xref>) reported that its expression was not involved in the allelic mutual exclusion of <italic>var</italic> gene transcription, which may explain its highly significant expression in the majority of women in this study.</p>
<p>In summary, this study evaluated a library of 698 P<italic>. falciparum</italic> antigens alongside an extensive analysis of clinical data encompassing various outcomes, such as gravidity, maternal anemia, and birth weight. However, due to the study&#x2019;s limited sample size, identifying protective associations may have been challenging, particularly among women with a higher gravidity. Nevertheless, the study provides evidence that pregnant women in malaria-endemic areas have significant levels of antibodies against both merozoite and iRBC surface antigens. These antibodies could potentially reduce the risk of adverse outcomes associated with placental malaria, such as malaria-associated anemia and low birth weight, and contribute to overall normal pregnancy outcomes. Further research is needed to validate the identified antigenic targets using a larger sample size. It is also crucial to investigate their role in the opsonization of parasitized red blood cells for phagocytosis, opsonization of merozoites, and complement fixation.</p>
</sec>
</body>
<back>
<sec id="s5" 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="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Institutional Scientific and Ethics Research Committee (ISERC) of Mount Kenya University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>LM: Visualization, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Formal Analysis, Methodology, Investigation. SM: Formal Analysis, Writing &#x2013; review &amp; editing, Visualization. HW: Writing &#x2013; review &amp; editing, Methodology, Investigation. HN: Investigation, Methodology, Writing &#x2013; review &amp; editing. PL: Supervision, Writing &#x2013; review &amp; editing. TT: Funding acquisition, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. ET: Supervision, Methodology, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Conceptualization, Funding acquisition. JG: Investigation, Conceptualization, Writing &#x2013; review &amp; editing, Funding acquisition, Supervision. BK: Writing &#x2013; review &amp; editing, Funding acquisition, Formal Analysis, Supervision, Methodology, Data curation, Investigation, Conceptualization, Writing &#x2013; original draft, Project administration.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. BK is an EDCTP Fellow under EDCTP2 programme supported by the European Union grant number TMA2020CDF-3203. JG was supported by Royal Society, Future Leaders African Independent Researchers (FLAIR) Scheme (FLR/R1/201314). This work was also supported in part by JSPS KAKENHI (Grant Nos. JP23KK0140, JP24K02273) and AMED under grant number (JP23wm0325038, JP25jm0210110). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We appreciate the study volunteers from Webuye Level IV Hospital, Bungoma county; and thank the research teams at Centre for Malaria Elimination, Mount Kenya University, for their technical assistance in processing the field samples.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The 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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s11" 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>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2025.1622435/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1622435/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Image1.tiff" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>A box plot showing the malaria infection status versus the median antibody responses across the protein families in multigravida women. Positive malaria cases showed increased antibody response across all protein families except in STEVOR family where the median for both positive and negative cases was equal.</p>
</caption>
</supplementary-material>
</sec>
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