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	<front>
		<journal-meta>
			<journal-id journal-id-type="nlm-ta">Biomedica</journal-id>
			<journal-id journal-id-type="publisher-id">bio</journal-id>
			<journal-title-group>
				<journal-title>Biomédica</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Biomed.</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">0120-4157</issn>
			<issn pub-type="epub">2590-7379</issn>
			<publisher>
				<publisher-name>Instituto Nacional de Salud</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="doi">10.7705/biomedica.7467</article-id>
			<article-id pub-id-type="publisher-id">00009</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Original article</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Relationship between serum ferritin and pro-inflammatory markers in late pregnancy: An exploratory analysis from Cartagena, Colombia</article-title>
				<trans-title-group xml:lang="es">
					<trans-title>Relación entre la ferritina sérica y los marcadores proinflamatorios en el embarazo tardío: un análisis exploratorio en Cartagena, Colombia</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-5877-2001</contrib-id>
					<name>
						<surname>Puerto</surname>
						<given-names>Alejandra</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-9136-9775</contrib-id>
					<name>
						<surname>Alvis-Zakzuk</surname>
						<given-names>Nelson Rafael</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-8141-2362</contrib-id>
					<name>
						<surname>Annicchiarico</surname>
						<given-names>Walter</given-names>
					</name>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-9458-864X</contrib-id>
					<name>
						<surname>Alvis-Guzmán</surname>
						<given-names>Nelson</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-6007-5376</contrib-id>
					<name>
						<surname>Zakzuk</surname>
						<given-names>Josefina</given-names>
					</name>
					<xref ref-type="aff" rid="aff1b"><sup>1</sup></xref>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
					<xref ref-type="corresp" rid="c1">*</xref>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>1</label>
				<institution content-type="original"> Instituto de Investigaciones Inmunológicas, Universidad de Cartagena, Cartagena de Indias, Colombia</institution>
				<institution content-type="normalized">Universidad de Cartagena</institution>
				<institution content-type="orgname">Universidad de Cartagena</institution>
				<addr-line>
					<named-content content-type="city">Cartagena de Indias</named-content>
				</addr-line>
				<country country="CO">Colombia</country>
			</aff>
			<aff id="aff2">
				<label>2</label>
				<institution content-type="original"> Línea de Salud Materna, ALZAK Foundation, Cartagena de Indias, Colombia</institution>
				<institution content-type="normalized">ALZAK Foundation</institution>
				<addr-line>
					<named-content content-type="city">Cartagena de Indias</named-content>
				</addr-line>
				<country country="CO">Colombia</country>
			</aff>
			<aff id="aff3">
				<label>3</label>
				<institution content-type="original"> Medicina Materno-Fetal, Universidad Pontificia Bolivariana, Bogotá, D. C., Colombia</institution>
				<institution content-type="normalized">Universidad Pontificia Bolivariana</institution>
				<institution content-type="orgname">Universidad Pontificia Bolivariana</institution>
				<addr-line>
					<named-content content-type="city">Bogotá</named-content>
				</addr-line>
				<country country="CO">Colombia</country>
			</aff>
			<aff id="aff4">
				<label>4</label>
				<institution content-type="original"> Ciencias de la Salud, Universidad de la Costa, Barranquilla, Colombia</institution>
				<institution content-type="normalized">Universidad de la Costa</institution>
				<addr-line>
					<named-content content-type="city">Barranquilla</named-content>
				</addr-line>
				<country country="CO">Colombia</country>
			</aff>
			<aff id="aff1b">
				<label>1</label>
				<institution content-type="original"> Instituto de Investigaciones Inmunológicas, Universidad de Cartagena, Cartagena de Indias, Colombia</institution>
				<institution content-type="normalized">Universidad de Cartagena</institution>
				<institution content-type="orgname">Universidad de Cartagena</institution>
				<addr-line>
					<named-content content-type="city">Cartagena de Indias</named-content>
				</addr-line>
				<country country="CO">Colombia</country>
				<email>jzakzuks@unicartagena.edu.co</email>
			</aff>
			<author-notes>
				<corresp id="c1">
					<label><sup>*</sup></label><bold>Corresponding author:</bold> Josefina Zakzuk, Carrera 5 N°67-135, Edificio El Velero, apartamento 402, Barrio Crespo, Cartagena, Colombia Teléfono: +57 (321) 541 2280 <email>jzakzuks@unicartagena.edu.co</email>
				</corresp>
				<fn fn-type="equal" id="fn6">
					<p>All authors participated in the writing and critical review of the manuscript.</p>
				</fn>
				<fn fn-type="conflict" id="fn8">
					<label>Conflicts of interest:</label>
					<p> The authors declare no conflicts of interest.</p>
				</fn>
			</author-notes>
			<!--<pub-date date-type="pub" publication-format="electronic">
				<day>28</day>
				<month>03</month>
				<year>2025</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">
				<month>03</month>
				<year>2025</year>
			</pub-date>-->
			<pub-date pub-type="epub-ppub">
				<month>03</month>
				<year>2025</year>
			</pub-date>
			<volume>45</volume>
			<issue>1</issue>
			<fpage>94</fpage>
			<lpage>106</lpage>
			<history>
				<date date-type="received">
					<day>09</day>
					<month>04</month>
					<year>2024</year>
				</date>
				<date date-type="accepted">
					<day>11</day>
					<month>10</month>
					<year>2024</year>
				</date>
				<date date-type="pub">
					<day>18</day>
					<month>10</month>
					<year>2024</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
					<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License</license-p>
				</license>
			</permissions>
			<abstract>
				<title>Abstract</title>
				<sec>
					<title>Introduction.</title>
					<p> In a previous study, we identified an inverse relationship between adverse perinatal outcomes and iron status during late pregnancy of women recruited from a maternal hospital in Cartagena, Colombia. Some of these outcomes have also been linked to maternal inflammatory states. However, there is currently no clarity regarding the relationship between iron levels and proinflammatory markers during this period.</p>
				</sec>
				<sec>
					<title>Objective.</title>
					<p> To estimate the relationship between inflammatory markers and serum ferritin in third-trimester pregnancies.</p>
				</sec>
				<sec>
					<title>Materials and methods.</title>
					<p> Serum ferritin, hemoglobin, and proinflammatory cytokine levels were determined in women in Cartagena in their third trimester of pregnancy. We analyzed the relationship between ferritin levels and proinflammatory cytokines, as well as the relationship between serum ferritin, hemoglobin, and inflammatory cytokine levels with adverse perinatal outcomes.</p>
				</sec>
				<sec>
					<title>Results.</title>
					<p> The levels of IL-6 were significantly associated with serum ferritin levels (β = 0.42, SE = 0.21, p = 0.04) but not with maternal age. Maternal serum ferritin had a positive weak correlation with the absolute number of lymphocytes and monocytes. Hemoglobin and maternal serum ferritin were weakly and inversely associated with birth weight. Serum ferritin but not IL-6 or IL-8 was associated with preterm birth.</p>
				</sec>
				<sec>
					<title>Conclusions.</title>
					<p> We observed direct and mild associations of serum iron markers (serum ferritin, hemoglobin, and hematocrit) with lymphocyte counts. The inflammation marker, IL- 6, was mildly associated with serum ferritin levels in late pregnancy. Women with elevated white blood cell counts and serum ferritin levels tended to have infants with lower birth weights. This fact suggests a potential involvement of iron in inflammatory processes during pregnancy, and conditions associated with inflammation in the final trimester may have adverse effects on perinatal outcomes.</p>
				</sec>
			</abstract>
			<trans-abstract xml:lang="es">
				<title>Resumen</title>
				<sec>
					<title>Introducción.</title>
					<p> En un estudio previo, se identificó una relación inversa entre los resultados perinatales adversos y el estado del hierro -al final del embarazo- en mujeres reclutadas en un hospital materno de Cartagena, Colombia. Algunos resultados también se han vinculado a estados inflamatorios maternos. Sin embargo, no hay claridad respecto a la relación entre los niveles de hierro y los marcadores proinflamatorios durante este período. </p>
				</sec>
				<sec>
					<title>Objetivo.</title>
					<p> Estimar la relación entre los marcadores inflamatorios y la ferritina sérica en el tercer trimestre de gestación.</p>
				</sec>
				<sec>
					<title>Materiales y métodos. </title>
					<p>Se determinaron los niveles de ferritina sérica, hemoglobina y citocinas proinflamatorias en mujeres gestantes de Cartagena. Se analizó la relación entre la ferritina sérica y las citocinas proinflamatorias, así como la relación entre los marcadores de hierro e inflamación y los resultados perinatales adversos.</p>
				</sec>
				<sec>
					<title>Resultados.</title>
					<p> Los niveles de IL-6 tuvieron una asociación estadísticamente significativa con la concentración de ferritina sérica (β = 0,42, DE = 0,21, p = 0,04). Hubo una correlación positiva débil entre la ferritina sérica materna y el recuento de linfocitos y monocitos.</p>
				</sec>
				<sec>
					<title>Conclusiones.</title>
					<p> Los marcadores de hierro en sangre (ferritina sérica, hemoglobina y hematocrito) están directamente relacionados con el número de linfocitos. El marcador de inflamación, IL-6, está asociado con los niveles de ferritina sérica en el último trimestre del embarazo. Las mujeres con mayor número de leucocitos y niveles elevados de ferritina sérica tuvieron hijos con menor peso al nacer. Esto sugiere una posible participación del hierro en los procesos inflamatorios durante el embarazo y que las condiciones asociadas con la inflamación en el último trimestre podrían tener efectos adversos en los resultados perinatales.</p>
				</sec>
			</trans-abstract>
			<kwd-group xml:lang="en">
				<title>Keywords:</title>
				<kwd>Anemia</kwd>
				<kwd>infant</kwd>
				<kwd>very low birth weight</kwd>
				<kwd>obstetric labor</kwd>
				<kwd>premature</kwd>
				<kwd>pregnancy</kwd>
				<kwd>inflammation</kwd>
				<kwd>cytokines</kwd>
				<kwd>interleukin-6</kwd>
				<kwd>interleukin-8.</kwd>
			</kwd-group>
			<kwd-group xml:lang="es">
				<title>Palabras clave:</title>
				<kwd>Anemia</kwd>
				<kwd>recién nacido de muy bajo peso</kwd>
				<kwd>trabajo de parto prematuro</kwd>
				<kwd>embarazo</kwd>
				<kwd>inflamación</kwd>
				<kwd>citocinas</kwd>
				<kwd>interleucina-6</kwd>
				<kwd>interleucina-8</kwd>
			</kwd-group>
			<counts>
				<fig-count count="3"/>
				<table-count count="3"/>
				<equation-count count="0"/>
				<ref-count count="70"/>
				<page-count count="13"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<p>Iron is an essential element for fetal growth. Therefore, markers of iron status (such as hemoglobin and ferritin) are monitored during prenatal care <xref ref-type="bibr" rid="B1"><sup>1</sup></xref>. In low- and middle-income countries, where food insecurity and gestational anemia are more prevalent, universal iron supplementation is included in health services during pregnancy <xref ref-type="bibr" rid="B2"><sup>2</sup></xref>. Public health strategies have primarily focused on assessing and addressing iron deficiency, given the clear association between iron deficiency -especially in the first trimester- and adverse outcomes such as low birth weight and preterm birth <xref ref-type="bibr" rid="B3"><sup>3</sup></xref>. However, it is important to mention that higher levels of hemoglobin and serum ferritin have been related to a higher risk of adverse pregnancy outcomes <xref ref-type="bibr" rid="B4"><sup>4</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B8"><sup>8</sup></xref>. To date, scientific evidence supports a U curve pattern in the relationship between iron status and the occurrence of perinatal and maternal clinical adverse outcomes, where extremes can be detrimental to the health of the mother and the fetus <xref ref-type="bibr" rid="B9"><sup>9</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B16"><sup>16</sup></xref>.</p>
		<p>In a previous study, we found an inverse relationship between birth weight and gestational age with maternal serum ferritin in the third trimester of pregnancy in women recruited at a maternity hospital in Cartagena, Colombia <xref ref-type="bibr" rid="B17"><sup>17</sup></xref>. Like our study, research in countries such as Ghana <xref ref-type="bibr" rid="B18"><sup>18</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B19"><sup>19</sup></xref>, China, Papua New Guinea <xref ref-type="bibr" rid="B20"><sup>20</sup></xref>, and South Africa show the same trend for iron effects.</p>
		<p>The involvement of iron in inducing proinflammatory states has been documented. Reports suggest that elevated supplemental iron levels during pregnancy, or even physiological values, could negatively affect maternal health <xref ref-type="bibr" rid="B21"><sup>21</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B23"><sup>23</sup></xref>. Nevertheless, studies focused on the relationship between maternal iron status and inflammation are scarce <xref ref-type="bibr" rid="B24"><sup>24</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B25"><sup>25</sup></xref>. Different studies correlate gestational anemia and serum ferritin deficiency with outcomes such as low birth weight, preterm birth, and alterations in fetal growth, as well as the relationship between higher iron levels and inflammatory states. However, no clarity exists regarding the relationship between iron levels and proinflammatory markers during pregnancy and its potential association with adverse maternal and perinatal outcomes.</p>
		<p>Changes in the immune system during pregnancy are primarily associated with augmented type 2 cellular immunity aiming to regulate proinflammatory activity. This physiological adaptation leads to increased production of regulatory interleukins, such as interleukin-10 (IL-10), resulting in a decrease in proinflammatory activity (e.g. IL-6). Consequently, this reduction helps to mitigate the risk of rejection of the implanted trophoblast <xref ref-type="bibr" rid="B26"><sup>26</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B28"><sup>28</sup></xref>. Hence, an increase in the activity of proinflammatory interleukins during pregnancy can be considered a pathological scenario associated with unwanted maternal and perinatal outcomes, including alterations in fetal growth and preeclampsia, among others <xref ref-type="bibr" rid="B29"><sup>29</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B31"><sup>31</sup></xref>.</p>
		<p>Therefore, we aimed to evaluate the relationship between white blood cells, serum proinflammatory cytokines (IL-6, IL-8, IL-12p), and serum ferritin levels in a pregnant population during their third gestational trimester. This knowledge may impact on the prevention and treatment of inflammatory conditions during pregnancy by helping to clarify whether there are direct relationships between elevated levels of this nutrient and systemic</p>
		<p>inflammation. It also encourages further research into appropriate iron supplementation during pregnancy and its widespread administration to prevent low birth weight in developing countries.</p>
		<sec sec-type="materials|methods">
			<title>Materials and methods</title>
			<sec>
				<title><italic>Study design and population</italic></title>
				<p>This study involves a subsample of 530 participants selected from pregnant patients enrolled in a birth cohort study to analyze the relationship between white blood cell counts and iron markers <xref ref-type="bibr" rid="B17"><sup>17</sup></xref>. Participants were recruited from the <italic>E.S.E. Clínica Maternidad Rafael Calvo C</italic>., a referral hospital in Cartagena, Colombia, which provides obstetric care for the entire department of Bolívar.</p>
				<p>Following an extreme group approach design, cytokine analyses were performed on a subset of these participants (n = 117), classified based on their serum ferritin concentration -low (percentile &lt; 25) and high (percentile &gt; 75)-, obtained from a serum bank established for this cohort. The research was approved by the ethics committee of the clinic (authorization number: 001-18).</p>
			</sec>
			<sec>
				<title><italic>Eligibility criteria and enrollment process</italic></title>
				<p>The ancillary study included pregnant women residing in the department of Bolivar, aged between 18 and 45 years, in the last trimester of pregnancy and in the first stage of labor at the time of recruitment. For this secondary analysis, the included participants were required to have complete hemogram and leukogram data available, a normal pregnancy, and no signs of active infections.</p>
				<p>Exclusion criteria included mothers diagnosed with HIV, autoimmune diseases, diabetes mellitus, chronic kidney disease, or previous history of hypertensive disorder during pregnancy. Additionally, mothers of newborns with congenital defects, TORCH syndrome, or chromosomal abnormalities were excluded from the study.</p>
			</sec>
			<sec>
				<title><italic>Blood samples</italic></title>
				<p>Blood was collected from patients during the recruitment phase. Hemogram and serum ferritin determinations were performed as previously described <xref ref-type="bibr" rid="B17"><sup>17</sup></xref>. Serum was isolated and stored at -80°C for future use. Serum levels of IL-Ιβ, IL-6, IL-8, IL-10, TNF-α, and IL-12 were measured by flow cytometry using the Human Inflammatory Cytokine Cytometric Bead Array™ kit, following the manufacturer’s instructions (BD, New Jersey, USA).</p>
			</sec>
			<sec>
				<title><italic>Data analysis</italic></title>
				<p>Frequency rates and inferential analyses were estimated using Statistical Package for Social Sciences software (SPSS™, version 25.0; IBM). Since most variables were not normally distributed, they were reported as the median and interquartile range. Leukogram, iron status markers, and inflammatory cytokine data were log-transformed and then analyzed using parametric tests. White blood cell populations were assessed in relation to iron markers (hemoglobin, hematocrit, red blood cells, and serum ferritin) and neonatal anthropometric data using Pearson correlation tests. Correlograms were generated using the “corrplot” package in R Studio™ (version 4.3). Significant correlations were further evaluated in linear regression models and included maternal age, socioeconomic status, and gestational age. Iron markers served as covariates. A p value inferior to 0.05 was considered significant for all tests.</p>
				<p>For cytokine measurements, we selected 117 women at the extremes of the distribution (≤ 25<sup>th</sup> percentile or “low” and ≥ 75<sup>th</sup> percentile or “high”) of serum ferritin values. Cytokine levels were log-transformed and compared between the two groups using a t test for independent groups. A p value inferior to 0.05 was considered significant for all tests.</p>
			</sec>
		</sec>
		<sec sec-type="results">
			<title>Results</title>
			<p>Sociodemographic characteristics and health-related conditions during pregnancy for the 530 women included in this study are shown in <xref ref-type="table" rid="t1">table 1</xref>. The median serum ferritin value was 15.2 μg/L (IQR = 8.7 - 25.05). Only one participant presented hyperferritinemia (serum ferritin &gt; 200 pg/L) <xref ref-type="bibr" rid="B32"><sup>32</sup></xref>.</p>
			<p>
				<table-wrap id="t1">
					<label>Table 1</label>
					<caption>
						<title>Sociodemographic characteristics and health-related conditions during pregnancy of the sample study (N = 530)</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup>
							<col span="3"/>
						</colgroup>
						<thead>
							<tr>
								<th align="left" colspan="3">Characteristics </th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left" colspan="2">Age (mean ± SD) </td>
								<td align="center">24.6 ± 5.3</td>
							</tr>
							<tr>
								<td align="left" colspan="2">Living in an urban area [n (%)] </td>
								<td align="center">428 (80.8)</td>
							</tr>
							<tr>
								<td align="left" colspan="2">Socioeconomic status </td>
								<td align="center">[n (%)]</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">1</td>
								<td align="center">494 (93.2)</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">2</td>
								<td align="center">28 (5.3)</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">3</td>
								<td align="center">7 (1.3)</td>
							</tr>
							<tr>
								<td align="left" colspan="2">Blood count </td>
								<td align="center">(mean ± SD)</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Hemoglobin (g/dl)</td>
								<td align="center">11.0 ± 1.3</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Hematocrit</td>
								<td align="center">33.9 ± 3.7</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">White blood cells</td>
								<td align="center">11,507.9 ± 3,429.4</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Granulocytes (%)</td>
								<td align="center">72.6 ± 10.0</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Monocytes (%)</td>
								<td align="center">5.2 ± 2.0</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Lymphocytes (%)</td>
								<td align="center">20.2 ± 7.5</td>
							</tr>
							<tr>
								<td align="left" colspan="2">Iron status </td>
								<td align="center">[n (%)]</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Gestational anemia</td>
								<td align="center">229 (43.2)</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Serum ferritin depletion</td>
								<td align="center">213 (40.2)</td>
							</tr>
							<tr>
								<td align="left" colspan="2">Delivery mode </td>
								<td align="center"> </td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Cesarean section</td>
								<td align="center">243 (45.8)</td>
							</tr>
							<tr>
								<td align="left" colspan="2">Newborn </td>
								<td align="center"> </td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Gestational age at birth (mean ± SD)</td>
								<td align="center">38.5 ± 1.9</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Birth weight (mean ± SD)</td>
								<td align="center">3,134.9 ± 494.4</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Birth size (mean ± SD)</td>
								<td align="center">50.3 ± 3.1</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
			</p>
			<p>Under the hypothesis that high iron levels may promote inflammatory states, we explored the relationship between various immune markers and indicators of iron status in the participants. As observed in <xref ref-type="fig" rid="f1">figure 1</xref>, we found significant and positive weak correlations between the absolute lymphocyte count and hemoglobin (r = 0.09, p = 0.02), hematocrit (r = 0.13, p = 0.003), red blood cells (r = 0.13, p = 0.004), and serum ferritin (r = 0.12, p &lt; 0.001). Monocytes also correlated with serum ferritin (r = 0.09, p &lt; 0.001).</p>
			<p>
				<fig id="f1">
					<label>Figure 1</label>
					<caption>
						<title>Correlation of serum ferritin, blood cell populations, and maternal-perinatal variables of interest. The scale represents Pearson's coefficient (R), ranging from -1 to +1. Positive correlations are indicated using cool colors on the scale.</title>
					</caption>
					<graphic xlink:href="2590-7379-bio-45-01-94-gf1.jpg"/>
					<attrib>SF: Serum ferritin; HB: Hemoglobin; HTC: Hematocrit; RBC: Red blood cells; WBC: White blood cells; LC: Lymphocyte count; MC: Monocyte count; GC: Granulocyte count; GA: Gestational age; BW: Birth weight; SB: Size at birth</attrib>
					<attrib>* Significant correlations (p &lt; 0.05)</attrib>
				</fig>
			</p>
			<p>In separate multivariate linear regression models, we observed that lymphocyte and monocyte counts were associated with serum ferritin, considering maternal age, socioeconomic status, and gestational weeks as covariates (<xref ref-type="table" rid="t2">table 2</xref>). Interestingly, white blood cells inversely correlated with birth weight (r = -0.17, p &lt; 0.001). When this relationship was evaluated by linear regression, the variables remained associated even after adjustment for maternal age, gestational age, and socioeconomic status.</p>
			<p>
				<table-wrap id="t2">
					<label>Table 2</label>
					<caption>
						<title>Relationship between serum ferritin levels with leukocyte counts in pregnant women</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup>
							<col span="2"/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="left" colspan="2">Variable </th>
								<th align="center">β</th>
								<th align="center">SE</th>
								<th align="center">p value</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left" colspan="2">Lymphocyte counts </td>
								<td align="center" colspan="3"> </td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Maternal age</td>
								<td align="center">0.031</td>
								<td align="center">0.069</td>
								<td align="center">0.478</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Socioeconomical status</td>
								<td align="center">-0.049</td>
								<td align="center">0.041</td>
								<td align="center">0.263</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Gestational age</td>
								<td align="center">-0.010</td>
								<td align="center">0.238</td>
								<td align="center">0.813</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Serum ferritin</td>
								<td align="center">0.123</td>
								<td align="center">0.017</td>
								<td align="center">0.005</td>
							</tr>
							<tr>
								<td align="left" colspan="2">Monocyte counts </td>
								<td align="center" colspan="3"> </td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Maternal age</td>
								<td align="center">-0.189</td>
								<td align="center">0.097</td>
								<td align="center">&lt;0.0001</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Socioeconomic status</td>
								<td align="center">0.025</td>
								<td align="center">0.058</td>
								<td align="center">0.565</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Gestational age</td>
								<td align="center">-0.054</td>
								<td align="center">0.337</td>
								<td align="center">0.206</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Serum ferritin</td>
								<td align="center">0.092</td>
								<td align="center">0.024</td>
								<td align="center">0.032</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN1">
							<p>β: Beta coefficient; SE: Standard error</p>
						</fn>
						<fn id="TFN2">
							<p>Predictors associated with the dependent variable (p &lt; 0.05) are highlighted in bold.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</p>
			<sec>
				<title><italic>Maternal serum ferritin and IL-6 levels</italic></title>
				<p>We used an extreme group approach design and compared cytokine levels between women with low and high serum ferritin. The distribution of serum ferritin levels in both groups is shown in <xref ref-type="fig" rid="f2">figure 2</xref>, and the sociodemographic characteristics of the participants are presented in <xref ref-type="table" rid="t3">table 3</xref>. IL-Ιβ levels were undetectable in all patients, while TNF-α was detected in only one, IL-12p in twelve patients, and IL-10 in two women. Only IL-6 and IL-8 were detected in the serum of most participants. Log-transformed IL-6 values were significantly higher in the “high” serum ferritin group (1.68 ± 0.89 pg/ml versus 2.10 ± 1.21 pg/ml, p = 0.03) (<xref ref-type="fig" rid="f3">figure 3</xref>). IL-6 values were significantly associated with serum ferritin status after adjustment for gestational age, maternal age, and socioeconomic status (β = 0.42, SE = 0.21, p = 0.04). No significant differences in IL-8 levels were observed between groups (3.96 ± 1.64 pg/ml versus 3.84 ± 1.76 pg/ml).</p>
				<p>
					<fig id="f2">
						<label>Figure 2</label>
						<caption>
							<title>Serum ferritin concentrations. Subjects were classified into two groups based on ferritin levels: low ferritin and high ferritin.</title>
						</caption>
						<graphic xlink:href="2590-7379-bio-45-01-94-gf2.jpg"/>
					</fig>
				</p>
				<p>
					<table-wrap id="t3">
						<label>Table 3</label>
						<caption>
							<title>Participants’ descriptive characteristics by ferritin subgroup, including cytokine data</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col span="2"/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left" colspan="2"> 
 </th>
									<th align="center">Low serum ferritin (Q1)</th>
									<th align="center">High serum ferritin (Q4)</th>
								</tr>
								<tr>
									<th align="left" colspan="2"> 
 </th>
									<th align="center">(N = 53)</th>
									<th align="center">(N = 63)</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left" colspan="2">Maternal </td>
									<td align="center"> </td>
									<td align="center"> </td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">Age (mean ± SD)</td>
									<td align="center">23.51 (4.83)</td>
									<td align="center">24.70 (5.52)</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">Living in an urban area [n (%)]</td>
									<td align="center">42 (79.2)</td>
									<td align="center">52 (81.3)</td>
								</tr>
								<tr>
									<td align="left" colspan="2">Socioeconomic status </td>
									<td align="center">[n (%)]</td>
									<td align="center">[n (%)]</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">1</td>
									<td align="center">48 (90.6)</td>
									<td align="center">59 (92.2)</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">2</td>
									<td align="center">4 (7.5)</td>
									<td align="center">4 (6.3)</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">3</td>
									<td align="center">1 (1.9)</td>
									<td align="center">1 (1.6)</td>
								</tr>
								<tr>
									<td align="left" colspan="2">Blood count </td>
									<td align="center">(mean ± SD)</td>
									<td align="center">(mean ± SD)</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">Hemoglobin (g/dl) </td>
									<td align="center">10.4 ± 1.1</td>
									<td align="center">11.7 ± 1.5</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">Hematocrit </td>
									<td align="center">32.1 ± 3.2</td>
									<td align="center">35.2 ± 4.8</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">White blood cells </td>
									<td align="center">10,684.9 ± 3,456.5</td>
									<td align="center">11,412.67 ± 3,861.29</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">Granulocytes </td>
									<td align="center">72.42 ± 10.64</td>
									<td align="center">73.07 ± 9.45</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">Monocytes </td>
									<td align="center"> </td>
									<td align="center">5.21 ± 1.93</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">Lymphocytes </td>
									<td align="center"> </td>
									<td align="center">19.64 ±6.19</td>
								</tr>
								<tr>
									<td align="left" colspan="2">Iron status </td>
									<td align="center"> </td>
									<td align="center"> </td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">Gestational anemia [n (%)] </td>
									<td align="center">30 (56.6)</td>
									<td align="center">17 (26.6)</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">Serum ferritin (median ± IQR) </td>
									<td align="center">5.90 (5.0 - 7.3)</td>
									<td align="center">43.1 (32.1 - 56.9)</td>
								</tr>
								<tr>
									<td align="left" colspan="2">Cytokines </td>
									<td align="center">(pg/ml)</td>
									<td align="center">(pg/ml)</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">IL-6 (median ± IQR) </td>
									<td align="center">5.85 (4.00 - 13.21)</td>
									<td align="center">8.59 (4.06 - 26.24)</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">IL-8 (median ± IQR) </td>
									<td align="center">41.29 (12.67 - 173.48)</td>
									<td align="center">28.99 (12.80 - 171.13)</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">IL-12p (median ± IQR) </td>
									<td align="center">2.48 (2.32 - 7.30)</td>
									<td align="center">2.09 (1.92 - 2.47)</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN3">
								<p>SD: Standard deviation; IQR: Interquartile range; IL-6: Interleukin-6; IL-8: Interleukin-8; IL-12p:</p>
							</fn>
							<fn id="TFN4">
								<p>Interleukin-12p</p>
							</fn>
							<fn id="TFN5">
								<p>IL-12p levels were detectable in 12 women.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>
					<fig id="f3">
						<label>Figure 3</label>
						<caption>
							<title>Cytokine levels by serum ferritin group. Graphs display mean levels of interleukin-6 (IL- 6) and interleukin-8 (IL-8) in participants categorized into low and high serum ferritin groups. Data are presented as the means of logarithmically transformed values.</title>
						</caption>
						<graphic xlink:href="2590-7379-bio-45-01-94-gf3.jpg"/>
						<attrib>* p &lt; 0.05</attrib>
					</fig>
				</p>
				<p>No association was found between the concentration of IL-6 or IL-8 with birth weight (β = -0.00, SE = 0.00, p = 0.44), birth length (β = 0.04, SE = 0.03, p = 0.14), or gestational age of the participants’ children (β = -0.04, SE = 0.06, p = 0.48).</p>
			</sec>
		</sec>
		<sec sec-type="discussion">
			<title>Discussion</title>
			<p>Understanding iron balance during pregnancy remains a complex issue. While much nutritional advice during pregnancy focuses on preventing anemia to ensure fetal health <xref ref-type="bibr" rid="B33"><sup>33</sup></xref>, previous findings, as in other underdeveloped countries, have indicated an inverse association between serum ferritin and hemoglobin levels with adverse fetal outcomes such as low birth weight <xref ref-type="bibr" rid="B11"><sup>11</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B18"><sup>18</sup></xref>. Given the hypothesis that iron may contribute to inflammatory states, we investigated, for the first time in the Colombian population, the relationship between serum ferritin and various inflammatory markers, including white blood cell counts and serum proinflammatory cytokine levels.</p>
			<p>The relationship between iron status, inflammatory markers, and pregnancy outcomes has been primarily investigated in preeclampsia, where higher neutrophil and lymphocyte counts and elevated serum iron and ferritin concentrations have been detected in pregnant women with this condition compared to those with healthy pregnancies <xref ref-type="bibr" rid="B34"><sup>34</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B35"><sup>35</sup></xref>. This phenomenon may be attributed to endothelial dysfunction from oxidative stress secondary to increased maternal iron levels.</p>
			<p>Although Lee <italic>et al</italic>. used a different study design than ours, they found that IL-6 concentrations at delivery were positively correlated with maternal serum ferritin (p &lt; 0.01) <xref ref-type="bibr" rid="B24"><sup>24</sup></xref>. However, the relationship between maternal serum ferritin and IL-6 is controversial, as other studies have found no association between them in healthy or high-risk pregnancies, which often include autoimmune diseases, obesity, diabetes mellitus, and preeclampsia <xref ref-type="bibr" rid="B25"><sup>25</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B36"><sup>36</sup></xref>. Nevertheless, studies evaluating the correlation between serum ferritin and interleukins in pregnant patients have small sample sizes, limiting the extrapolation of the results.</p>
			<p>Similar findings have been published regarding white blood cells and iron status. Tang <italic>et al</italic>. found a direct association between hemoglobin concentration and T-cell count in healthy third-trimester pregnant women <xref ref-type="bibr" rid="B37"><sup>37</sup></xref>. Consistent with the aforementioned findings, some studies reported non pregnant individuals with anemia exhibiting lower counts of lymphocytes and natural killer cells <xref ref-type="bibr" rid="B38"><sup>38</sup></xref>. However, the precise mechanism of how hemoglobin levels influence peripheral lymphocytes is not completely understood. Some white blood cell populations demonstrate functional alterations in anemic states, such as diminished bactericidal activity in macrophages <xref ref-type="bibr" rid="B39"><sup>39</sup></xref> or reduced enzymatic activity in neutrophils (in mice) <xref ref-type="bibr" rid="B40"><sup>40</sup></xref>.</p>
			<p>Iron participates in the immune response by inducing immune cell differentiation and regulating cellular response pathways and cytokine functions <xref ref-type="bibr" rid="B41"><sup>41</sup></xref>. High white blood cell counts may result from augmented cell proliferation facilitated by iron availability <xref ref-type="bibr" rid="B42"><sup>42</sup></xref>. Moreover, under such conditions, macrophage M1 polarization is induced by inflammatory cytokines such as IL-6 or TNF-α, along with increased expression of other iron metabolism proteins, such as ferroportin, transferrin receptor, and ferritin <xref ref-type="bibr" rid="B43"><sup>43</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B44"><sup>44</sup></xref>. Similarly, high iron levels may enhance neutrophil recruitment and promote inflammatory states through the secretion of proinflammatory cytokines, as evidenced in patients with hemochromatosis <xref ref-type="bibr" rid="B45"><sup>45</sup></xref>.</p>
			<p>White blood cell values represent the activity of the immune response and have been identified as predictive factors for some chronic inflammatory conditions <xref ref-type="bibr" rid="B46"><sup>46</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B49"><sup>49</sup></xref>. Although white blood cell values increase physiologically during late pregnancy <xref ref-type="bibr" rid="B50"><sup>50</sup></xref>, its count may be used in predicting adverse perinatal events, such as preterm birth and preeclampsia severity <xref ref-type="bibr" rid="B51"><sup>51</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B54"><sup>54</sup></xref>. Consistent with this, the white blood cell count was inversely related to birth weight and gestational age. This result complements previous findings in this cohort, where serum ferritin was inversely associated with birth weight <xref ref-type="bibr" rid="B17"><sup>17</sup></xref>. Similar findings have been reported in Israeli pregnant women, in whom the white blood cell count also showed an inverse association with birth weight <xref ref-type="bibr" rid="B55"><sup>55</sup></xref> and is related to adverse perinatal outcomes <xref ref-type="bibr" rid="B56"><sup>56</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B58"><sup>58</sup></xref>. The previous information suggests a potential connection between maternal iron levels and inflammatory immune activity, which could have adverse effects on perinatal outcomes.</p>
			<p>Our results suggest that maternal iron status before delivery could influence the systemic inflammatory response. Studies on the proinflammatory effects of serum ferritin have identified that stimulation of macrophages with the heavy subunit (FeH) of ferritin induced a significant increase in the mRNA expression of IL-Ιβ, IL-6, IL-12, and TNF-α, as functionally verified -by ELISA- with elevated levels of IL-1 β and IL- 12p70 secreted by macrophages <xref ref-type="bibr" rid="B59"><sup>59</sup></xref>. These results could suggest a proinflammatory role of elevated iron levels during pregnancy, negatively impacting maternal-fetal outcomes.</p>
			<p>IL-6 -secreted by monocytes, macrophages, and T cells in response to recognition of pathogen-associated molecular patterns- stimulates C-reactive protein and hepcidin hormone secretion by hepatocytes through the involvement of the transcription factor STAT3 and NF-ke <xref ref-type="bibr" rid="B60"><sup>60</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B61"><sup>61</sup></xref>. C-reactive protein, in turn, induces the release of reactive oxygen species and cytokines by macrophages <xref ref-type="bibr" rid="B62"><sup>62</sup></xref>. Inflammatory states within placental tissue may trigger the production of IL-6 by circulating monocytes or macrophages, initiating a systemic-type response. This response includes the release of cytokines, such as IL-1, TNF-α, IFN-γ, or IL-6 in the serum. Consequently, these changes result in decreased serum iron levels (hypoferremia) <xref ref-type="bibr" rid="B63"><sup>63</sup></xref>, leading to iron sequestration intracellularly or in circulating storage proteins, such as ferritin, or increased storage in macrophages of the reticuloendothelial system <xref ref-type="bibr" rid="B64"><sup>64</sup></xref>.</p>
			<p>Despite the results of our study, it is important to highlight that outcome such as low birth weight are usually not acute. Therefore, the findings of this study could represent the consequences of changes that occurred in the early stages of pregnancy or before <xref ref-type="bibr" rid="B3"><sup>3</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B12"><sup>12</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B15"><sup>15</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B65"><sup>65</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B66"><sup>66</sup></xref>.</p>
			<p>Our study has several limitations. Enrollment of participants in the peripartum implies higher cytokine levels observed due to their physiological increase during this period. Thus, the measurements do not represent the third trimester of pregnancy <xref ref-type="bibr" rid="B67"><sup>67</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B68"><sup>68</sup></xref>. Nevertheless, we excluded participants from the ancillary cohort with comorbidities associated with systemic inflammation. Other causes, such as obesity, were not analyzed in this study, and may have resulted in a biased interpretation of the results.</p>
			<p>We also recognize the limitations of the extreme group approach design in determining effect size, although it is informative for identifying a positive association between iron markers and proinflammatory conditions in late pregnancy <xref ref-type="bibr" rid="B69"><sup>69</sup></xref>.</p>
			<p>Additionally, the study design does not allow for causality, as we cannot ascertain whether iron overload is a stimulus to produce proinflammatory cytokines or, on the contrary, if inflammation induces the elevation of serum ferritin during pregnancy. The multiplex cytokine assay used was not sensitive enough to detect blood levels of IL-10, an anti-inflammatory cytokine relevant in fetal tolerance, associated with iron-deficiency anemia in the adult population <xref ref-type="bibr" rid="B70"><sup>70</sup></xref>.</p>
			<p>Further studies are required to functionally corroborate the influence of iron overload on maternal serum and tissue (placenta) inflammation. In addition, serum ferritin can be affected by the expansion of plasma volume, so other indicators of iron status, such as the concentration of the soluble transferrin receptor, could better represent the maternal iron status.</p>
			<p>In summary, in a representative sample of pregnant women in Cartagena, Colombia, iron markers (serum ferritin, hemoglobin, and hematocrit) are correlated to lymphocyte count and associated with inflammation markers such as IL-6. Furthermore, we observed that women with elevated white blood cell counts and high serum ferritin levels tended to have infants with lower birth weights. This fact suggests a potential involvement of iron in inflammatory processes during pregnancy; conditions associated with inflammation in the final trimester may have adverse effects on perinatal outcomes.</p>
			<p>However, further studies are required to establish causality between these events. Also, associations were generally of weak magnitude. Then, other aspects that may have an influential role in systemic inflammation must be identified. The direct effects of iron on the fetoplacental unit should be evaluated in tissue (placenta) for a closer approximation to the biological background of this finding.</p>
		</sec>
	</body>
	<back>
		<ref-list>
			<title>References</title>
			<ref id="B1">
				<label>1.</label>
				<mixed-citation>World Health Organization. WHO guideline on use of ferritin concentrations to assess iron status in individuals and populations. Accessed: March 1<sup>st</sup>, 2024. Available at: <comment>Available at: <ext-link ext-link-type="uri" xlink:href="https://apps.who.int/iris/handle/10665/331505">https://apps.who.int/iris/handle/10665/331505</ext-link>
					</comment>
				</mixed-citation>
				<element-citation publication-type="webpage">
					<person-group person-group-type="author">
						<collab>World Health Organization</collab>
					</person-group>
					<source>WHO guideline on use of ferritin concentrations to assess iron status in individuals and populations</source>
					<date-in-citation content-type="access-date" iso-8601-date="2024-03-01">March 1st, 2024</date-in-citation>
					<comment>Available at: <ext-link ext-link-type="uri" xlink:href="https://apps.who.int/iris/handle/10665/331505">https://apps.who.int/iris/handle/10665/331505</ext-link>
					</comment>
				</element-citation>
			</ref>
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				<p> data analysis</p>
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				<p>This study was funded by the Instituto de Nutrición y Salud Kellogg’S® Award, 2018 edition - Agreement INSK-ALZAK 02-10-2018, led by the ALZAK Foundation and Universidad de Cartagena (Grant 112-2018).</p>
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