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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell Dev. Biol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Cell and Developmental Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell Dev. Biol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-634X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1742806</article-id>
<article-id pub-id-type="doi">10.3389/fcell.2026.1742806</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Prenatal alcohol exposure induces anxiety and depressive-like behaviors with deficits in growth and food intake in mice</article-title>
<alt-title alt-title-type="left-running-head">Smimih et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fcell.2026.1742806">10.3389/fcell.2026.1742806</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Smimih</surname>
<given-names>Kamal</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>El-Mansoury</surname>
<given-names>Bilal</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Marghich</surname>
<given-names>Mohamed</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Azzouhri</surname>
<given-names>Chaima</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zouhairi</surname>
<given-names>Nadia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Agnaou</surname>
<given-names>Mustapha</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Guennouni</surname>
<given-names>Morad</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Fdil</surname>
<given-names>Naima</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1700410"/>
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<contrib contrib-type="author">
<name>
<surname>Bitar</surname>
<given-names>Abdelali</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2971672"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Abulmeaty</surname>
<given-names>Mahmoud M. A.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/582350"/>
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<contrib contrib-type="author">
<name>
<surname>Aldisi</surname>
<given-names>Dara</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/897158"/>
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<contrib contrib-type="author">
<name>
<surname>Oudat</surname>
<given-names>Qutaibah</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2242087"/>
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<surname>Aboul-Soud</surname>
<given-names>Mourad A. M.</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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</contrib>
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<name>
<surname>Merzouki</surname>
<given-names>Mohamed</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
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<surname>El Hiba</surname>
<given-names>Omar</given-names>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
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<aff id="aff1">
<label>1</label>
<institution>Biological Engineering Laboratory, Faculty of Sciences and Technology (FST), Sultan Moulay Slimane University</institution>, <city>Beni Mellal</city>, <country country="MA">Morocco</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Nutritional Physiopathology, Neuroscience and Toxicology Team, Laboratory of Anthropogenic, Biotechnology, and Health, Faculty of Sciences, Chouaib Doukkali University</institution>, <city>El Jadida</city>, <country country="MA">Morocco</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Laboratory of Aquatic Systems: Marin and continental Environment, Department of Biology, Faculty of Sciences, Ibn Zohr University</institution>, <city>Agadir</city>, <country country="MA">Morocco</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Science and Technology Team, Higher School of Education and Training, Chouaib Doukkali University</institution>, <city>El Jadida</city>, <country country="MA">Morocco</country>
</aff>
<aff id="aff5">
<label>5</label>
<institution>Biochemistry Laboratory/Metabolic Platform, Faculty of Medicine, University Cadi Ayyad</institution>, <city>Marrakech</city>, <country country="MA">Morocco</country>
</aff>
<aff id="aff6">
<label>6</label>
<institution>Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University</institution>, <city>Riyadh</city>, <country country="SA">Saudi Arabia</country>
</aff>
<aff id="aff7">
<label>7</label>
<institution>Department of Kinesiology and Public Health, California Polytechnic State University</institution>, <city>San Luis Obispo</city>, <state>CA</state>, <country country="US">United States</country>
</aff>
<aff id="aff8">
<label>8</label>
<institution>Center of Excellence in Biotechnology Research, College of Applied Medical Sciences, King Saud University</institution>, <city>Riyadh</city>, <country country="SA">Saudi Arabia</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Omar El Hiba, <email xlink:href="mailto:elhiba.o@ucd.ac.ma">elhiba.o@ucd.ac.ma</email>; Mourad A. M. Aboul-Soud, <email xlink:href="mailto:maboulsoud@ksu.edu.sa">maboulsoud@ksu.edu.sa</email>; Mohamed Marghich, <email xlink:href="mailto:marghich.mohamed@ucd.ac.ma">marghich.mohamed@ucd.ac.ma</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-24">
<day>24</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>14</volume>
<elocation-id>1742806</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>05</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Smimih, El-Mansoury, Marghich, Azzouhri, Zouhairi, Agnaou, Guennouni, Fdil, Bitar, Abulmeaty, Aldisi, Oudat, Aboul-Soud, Merzouki and El Hiba.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Smimih, El-Mansoury, Marghich, Azzouhri, Zouhairi, Agnaou, Guennouni, Fdil, Bitar, Abulmeaty, Aldisi, Oudat, Aboul-Soud, Merzouki and El Hiba</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-24">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background/Objectives</title>
<p>Prenatal alcohol exposure (PAE) has been recognized as a significant public health concern due to its consequential and long-lasting effects on the central nervous system (CNS) and the subsequent behavioral impairments in affected individuals. The current study aims to evaluate postnatal neurobehavioral disturbances, specifically mood state and potential morpho-functional changes, as well as brain oxidative stress in mice prenatally intoxicated with ethanol at the adult stage.</p>
</sec>
<sec>
<title>Methods</title>
<p>female mice with positive vaginal plugs were divided into three groups: Group 1 (ethanol intoxicated): received ethanol at a dose of 1&#xa0;g/kg (i.p.) on gestational days 10 and 13 (two injections in total), along with pyrazole (100&#xa0;mg/kg by i. p.) to inhibit ethanol metabolism and simulate chronic fetal exposure. The second group received pyrazole alone at the same dose (100&#xa0;mg/kg i. p.). Group 3 (controls): received physiological saline solution (NaCl 0.9%) at the same volume as both ethanol and pyrazole. Offspring pups from the intoxicated dams were subjected, at the adult stage (from postnatal days P95 to P103), to a series of morphometric, biometric, neurobehavioral, and biochemical analyses.</p>
</sec>
<sec>
<title>Results</title>
<p>Our data show an obvious decrease in body weight and size, decreased food intake, and skeleton deformations. Additionally, PAE mice exacerbated anxiety-like and depressive-like behaviors as well as elevated brain oxidative stress.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The current data demonstrate the powerful neurotoxic effect of prenatal ethanol exposure on neuropsychological development as well as the associated morpho-functional changes.</p>
</sec>
</abstract>
<kwd-group>
<kwd>anxiety-like behaviors</kwd>
<kwd>brain oxidative stress</kwd>
<kwd>depressive-like behaviors</kwd>
<kwd>food intake</kwd>
<kwd>growth impairment</kwd>
<kwd>morphometry</kwd>
<kwd>neurobehavioral alterations</kwd>
<kwd>prenatal alcohol exposure</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was funded by the Ongoing Research Funding Program (ORF-2026-716), King Saud University, Riyadh, Saudi Arabia.</funding-statement>
</funding-group>
<counts>
<fig-count count="13"/>
<table-count count="1"/>
<equation-count count="1"/>
<ref-count count="98"/>
<page-count count="18"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Embryonic Development</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Prenatal Alcohol Exposure (PAE) refers to the consumption of alcohol during pregnancy, which can have adverse effects on fetal development (<xref ref-type="bibr" rid="B63">Popova et al., 2016</xref>). Alcohol is a teratogenic molecule that can easily cross the placental barrier and interfere, therefore, with normal fetal development (<xref ref-type="bibr" rid="B66">Popova et al., 2023a</xref>), and represents one of the most common early brain insults (<xref ref-type="bibr" rid="B10">Brancato et al., 2018</xref>). It is well established that PAE can lead to a wide range of neurodevelopmental disorders including physical and behavioral abnormalities known as Fetal Alcohol Spectrum Disorder (FASD) (<xref ref-type="bibr" rid="B67">Popova et al., 2023b</xref>; <xref ref-type="bibr" rid="B37">Ghasoub et al., 2025</xref>). Indeed, FASD encompasses a wide range of physical, cognitive, behavioral, and neurodevelopmental impairments that can lead to irreversible impacts on the lives of affected individuals (<xref ref-type="bibr" rid="B71">Riley et al., 2011</xref>). It can also affect cognitive, motor, and emotional functions, and potentially leading to greater alcohol intake during adolescence (<xref ref-type="bibr" rid="B72">Risbud et al., 2022</xref>). To date, no safe level of PAE has been identified, and the World Health Organization (WHO) consistently recommend complete avoidance of alcohol during pregnancy (<xref ref-type="bibr" rid="B16">Centers for Disease Control and Prevention, 2005</xref>; <xref ref-type="bibr" rid="B40">Graves et al., 2020</xref>; <xref ref-type="bibr" rid="B92">World Health Organization, 2014</xref>; <xref ref-type="bibr" rid="B46">Lewis, 2009</xref>). Despite these recommendations, an estimated 10% of pregnant women globally continue to consume alcohol (<xref ref-type="bibr" rid="B65">Popova et al., 2018</xref>; <xref ref-type="bibr" rid="B64">Popova et al., 2017</xref>). The highest prevalence is observed in the European Region, where approximately 25.2% of pregnant women report alcohol use aligning with the region&#x2019;s broader patterns of heavy drinking, binge consumption, and alcohol use disorders (<xref ref-type="bibr" rid="B67">Popova et al., 2023b</xref>). It is important to note that even low alcohol consumption during pregnancy can present risks for fetal development (<xref ref-type="bibr" rid="B64">Popova et al., 2017</xref>). Therefore, the severity and specific manifestations of FASD depend on the timing, amount, and pattern of alcohol consumption during pregnancy. Even more, according to genetic studies, performed on a large human cohort (<xref ref-type="bibr" rid="B85">Tadokoro et al., 2025</xref>; <xref ref-type="bibr" rid="B34">Gao et al., 2019</xref>), it appears that the genetic polymorphism of alcohol dehydrogenase (ADH) plays a critical role in worsening the ethanol effect on the liver (steatosis, hepatitis and hepatocellular carcinoma) (<xref ref-type="bibr" rid="B34">Gao et al., 2019</xref>; <xref ref-type="bibr" rid="B97">Zahid et al., 2019</xref>) and even on other human organs including the heart (<xref ref-type="bibr" rid="B47">Li et al., 2019</xref>). Such finding leads to consider seriously the pathological state of the pregnant woman. Therefore, several experimental studies on rodents have used either genetic (<xref ref-type="bibr" rid="B74">Rungratanawanich et al., 2023</xref>), or pharmacological models (particularly pyrazole as inhibitor for ADH activity) to mimic ADH deficiency, and subsequently evaluate postnatal outcomes following low-level prenatal alcohol exposure.</p>
<p>It is essential to raise awareness of the risks of PAE and to implement effective prevention strategies to protect the health and wellbeing of the mother and developing fetus (<xref ref-type="bibr" rid="B55">May et al., 2009</xref>). It is well known that the developing central nervous system (CNS) is especially susceptible to the harmful impacts of exogenous chemical contaminations, including alcohol (<xref ref-type="bibr" rid="B55">May et al., 2009</xref>; <xref ref-type="bibr" rid="B5">Alfonso-Loeches and Guerri, 2011</xref>; <xref ref-type="bibr" rid="B1">Abbaoui et al., 2016</xref>; <xref ref-type="bibr" rid="B9">Benammi et al., 2017</xref>). This poses significant risks to the fetus, potentially leading to growth issues before and after birth, as well as abnormalities in skeletal and craniofacial development and serious alterations in CNS function together with deep locomotor deficits (<xref ref-type="bibr" rid="B80">Smimih et al., 2023</xref>). PAE could lead to brain damage through multiple mechanisms, with one of the primary pathways involving the excessive generation of reactive oxygen species (ROS) and a concomitant disruption of the brain&#x2019;s antioxidant defense systems (<xref ref-type="bibr" rid="B11">Brocardo et al., 2011</xref>; <xref ref-type="bibr" rid="B38">Gil-Mohapel et al., 2019</xref>).</p>
<p>Numerous animal studies have demonstrated both morphological and behavioral alterations in offspring following PAE (<xref ref-type="bibr" rid="B58">Molina et al., 1987</xref>; <xref ref-type="bibr" rid="B36">Gazta&#xf1;aga et al., 2020</xref>; <xref ref-type="bibr" rid="B57">Molina et al., 1984</xref>). PAE has been shown to disrupt neuroendocrine function in the offspring, particularly affecting the hypothalamic-pituitary-adrenal (HPA) axis, a critical regulator of the stress response (<xref ref-type="bibr" rid="B90">Weinberg et al., 2008</xref>). Additionally, PAE may alter emotional regulation, especially in adolescence, and has been linked to increased susceptibility to anxiety and depressive-like behaviors (<xref ref-type="bibr" rid="B72">Risbud et al., 2022</xref>; <xref ref-type="bibr" rid="B42">Hellemans et al., 2010</xref>). While many studies have primarily focused on behavioral teratogenic effects in juvenile animals, fewer have explored the long-term consequences during adulthood.</p>
<p>In particular, we emphasize that, while many studies have explored the effects of PAE, few have examined the consequences of an interaction between ethanol and ADH inhibitors such as pyrazole on neurobehavioral development. Pyrazole is a competitive inhibitor of ADH, the enzyme that catalyzes the conversion of ethanol into acetaldehyde. Its administration prevents the rapid metabolism of ethanol, prolonging its bioavailability and accentuating its teratogenic effects (<xref ref-type="bibr" rid="B15">Cederbaum, 2012</xref>). This pharmacological strategy makes it possible to study the direct effects of ethanol in a more targeted way, independently of those of its metabolites.</p>
<p>In our study, the ethanol-pyrazole combination was administered during a critical developmental window; the 10th to 13th of gestation (D10 to D13), a period corresponding in mice to key stages of organogenesis and neural tube formation (<xref ref-type="bibr" rid="B82">Sulik et al., 1981</xref>). This period is particularly sensitive to the teratogenic effects of alcohol on the developing nervous system.</p>
<p>Thus, the present study aims to address this gap by evaluating anxiety and depressive-like behaviors in adult mice following intrauterine ethanol exposure, alongside an assessment of oxidative stress markers in the brain. To achieve this, we administered ethanol at a dose of 1&#xa0;g/kg i. p. to mice on gestational days 10 and 13, which correspond to the development of the CNS, particularly the formation of the neural tube that is equivalent to the third&#x2013;fourth week of human gestation (<xref ref-type="bibr" rid="B25">DeSesso et al., 1999</xref>; <xref ref-type="bibr" rid="B70">Rice and Barone, 2000</xref>).</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2-1">
<label>2.1</label>
<title>Chemicals</title>
<p>Ethyl alcohol (Darmstadt, Germany) and pyrazole were purchased from SIGMA-ALDRICH (St. Louis, MO 63103 United States).</p>
</sec>
<sec id="s2-2">
<label>2.2</label>
<title>Animals</title>
<p>The study was carried out exclusively on Swiss Albino mice from the central-care animal facilities of the Faculty of Science, Chouaib Doukkali University, El Jadida, Morocco. Mice were housed in Plexiglas cages and maintained under controlled conditions, including a constant ambient temperature of 25&#xa0;&#xb0;C, a 12-h light-dark cycle, and free access to water and food. Efforts were made to minimize stress, suffering, and distress. The welfare of the animals participating in the study was given the utmost attention, and all procedures were carried out in accordance with ethical standards outlined in the Guide for the Care and Use of Laboratory Animals by the National Research Council. In addition, the study protocol received approval from the Moroccan Ethics Committee for Animal Research (MECAR) under the reference number (MoSEAR Ref: UCD-FS-06/2024, 10 February 2024).</p>
</sec>
<sec id="s2-3">
<label>2.3</label>
<title>Treatments</title>
<p>A total of 18 virgin female mice aged 15 weeks were included in our experiments. Each litter was represented by a single male and female assigned to the same experimental condition to limit litter bias (the litter considered the biological unit). The presence of a visible vaginal plug was checked every 4&#xa0;h and used as a criterion for confirmation of mating. According to standard terminology in rodent prenatal research, we considered the day of vaginal plug appearance as the first day (D0) of pregnancy.</p>
<p>Female mice (28 &#xb1; 4&#xa0;g) with positive vaginal plugs were then divided into three groups, with six mice in each group.<list list-type="simple">
<list-item>
<label>&#x2713;</label>
<p>Group 1: (Et &#x2b; Pyr): Pregnant female mice received two intraperitoneal injections of ethanol (1&#xa0;g/kg) determined according to previous reports (<xref ref-type="bibr" rid="B87">Ukita et al., 1993</xref>), with adaptation according to our trials in mice, taking into consideration intrauterine mortality (see our previous paper (<xref ref-type="bibr" rid="B80">Smimih et al., 2023</xref>). The first injection is after 10 days following positive vaginal plugs (D10), while the second is on the 13th day of gestation (D13). One hour before ethanol injection, each mouse received an intraperitoneal injection of pyrazole at a dose of 100&#xa0;mg/kg (prepared in 0.9% NaCl). Pyrazole is a competitive inhibitor of ADH, which contributes to the conversion of ethanol into acetaldehyde, used to prolong ethanol bioavailability and accentuates its teratogenic effects (<xref ref-type="bibr" rid="B11">Brocardo et al., 2011</xref>). One hour before ethanol injection, each mouse received an intraperitoneal injection of pyrazole at a dose of 100&#xa0;mg/kg (prepared in 0.9% NaCl).</p>
</list-item>
<list-item>
<label>&#x2713;</label>
<p>Group 2 (Pyr): Pregnant female mice were injected solely with pyrazole (100&#xa0;mg/kg) on days D10 and D13.</p>
</list-item>
<list-item>
<label>&#x2713;</label>
<p>Group 3 (C): Control pregnant female mice received an equal volume of 0.9% sodium chloride solution (NaCl 0.9%).</p>
</list-item>
</list>
</p>
<p>All solutions used were sterilized 10&#xa0;min before each use, and injections were performed between 10 a.m. and 12 a.m.</p>
<p>A total of 18 offspring pups (1 pup from each pregnant dam of the three groups to avoid the litter effect) were included for each study (6 mice of each group used for max two behavioral tests). While tests combination was carried out carefully to avoid a potential interference or habituation effects. All experiments were performed in male pups, with sex subsequently confirmed at adulthood stage (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Experimental design and timeline schedule of the experiments.</p>
</caption>
<graphic xlink:href="fcell-14-1742806-g001.tif">
<alt-text content-type="machine-generated">Timeline of a mice study detailing mating, body weight measurements, injections, and behavioral tests. Key events include pup birth (D20/21) and behavioral tests from P95 to P103. Three groups receive different injections: Pyrazole with ethanol, Pyrazole, and saline. Behavioral tests include Open Field, Social Interaction, Elevated Plus Maze, Tail Suspension, Forced Swim, and others, the study also includes radiological assessment and blood sampling for biochemical analyses, each represented by specific symbols.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2-4">
<label>2.4</label>
<title>Biometric and morphometric parameters</title>
<sec id="s2-4-1">
<label>2.4.1</label>
<title>Body-weight monitoring</title>
<p>Body weight variation was monitored during two stages:<list list-type="simple">
<list-item>
<label>&#x2713;</label>
<p>During the gestational period: pregnant females were monitored at the D0 (positive vaginal pug), D5, D10 (1st injection), D13 (2nd injection), D15 and D18.</p>
</list-item>
<list-item>
<label>&#x2713;</label>
<p>During postnatal period: offspring pups were monitored at P7, P15, P21, P30, P45, P60 and P90.</p>
</list-item>
</list>
</p>
</sec>
<sec id="s2-4-2">
<label>2.4.2</label>
<title>Monitoring the evolution of body size</title>
<p>Body length was measured from the nose to the base of the tail at regular intervals throughout the first 3&#xa0;months after birth. A graduated ruler was used to ensure precise measurements. Data collection was conducted on postnatal days P0, P7, P15, P21, P30, P45, P60, P90.</p>
</sec>
<sec id="s2-4-3">
<label>2.4.3</label>
<title>Morphometric analysis of vital organs</title>
<p>After sacrifice, the liver, brain, kidneys, and spleen are dissected for morphometric analysis. Each organ was carefully washed and weighed using an analytical balance. The weight of each organ from the animals was then recorded. Then, the ratio of organ weight to body weight was calculated as follows:<disp-formula id="equ1">
<mml:math id="m1">
<mml:mrow>
<mml:mi>O</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>g</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>n</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi>r</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>t</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>o</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mtext>Organ</mml:mtext>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mtext>weight</mml:mtext>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi mathvariant="normal">g</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mtext>Body</mml:mtext>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mtext>weight</mml:mtext>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mtext>at</mml:mtext>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mtext>the</mml:mtext>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mtext>time</mml:mtext>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mtext>of</mml:mtext>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mtext>sacrifice</mml:mtext>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi mathvariant="normal">g</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
</p>
</sec>
<sec id="s2-4-4">
<label>2.4.4</label>
<title>Radiological study</title>
<p>The study was on adult (3 months) mice treated as described previously. Before the radiological examination, mice were profoundly anesthetized with urethane (1&#xa0;g/kg) to be held in specific positions. Radiographic images were taken at the radiology department of Ibn Tofail Private Marrakech hospital, by a specialized technician to enable an analysis of the mice&#x2019;s skeleton with particular focus on eight distinct bones: femur, tibia, humerus, radius, dorsal rachis, caudal rachis, bi-parietal width, and condyle-basal.</p>
<p>The following bones measures from each animal of each group were presented in the results section:<list list-type="bullet">
<list-item>
<p>Femur length, tibia (cm), humerus length (cm), radius length (cm), condylobasal length (cm), bi-parietal width length (cm), dorsal rachis length (cm), caudal rachis length (cm).</p>
</list-item>
<list-item>
<p>For the degree of scoliosis, we measured the angle from the medial line</p>
</list-item>
<list-item>
<p>For the cranial bones deformations, we measured the hemi-distance of each lateral frontal bone to the medial line (cm) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
</list-item>
</list>
</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>The different measures on the mouse skeleton bones represented on a real X-Rays image on adult mice. (BP) Bi-Parietal width; (CB) Condylobasal; (F) Femur; (H) Humerus; (R) Radius; (DV) Dorsal Vertebrae; (CV) Caudal vertebrae; (T) Tibia.</p>
</caption>
<graphic xlink:href="fcell-14-1742806-g002.tif">
<alt-text content-type="machine-generated">Composite scientific illustration showing an overhead scan of a mouse with labeled anatomical regions each marked with yellow and orange dashed arrows and anatomical abbreviations such as CB (Condylobasal), BP (Bi-Parietal width), DV (Dorsal Vertebrae), CV (Caudal Vertebrae), H (Humerus), R (Radius), F (Femur), and T (Tibia)..</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s2-5">
<label>2.5</label>
<title>Food intake measurement</title>
<p>Each mouse from each experimental group was individually housed for three consecutive days prior to testing to allow habituation to social isolation. Each mouse receives 15&#xa0;g portions of barley, and its nocturnal food intake was measured over a 12-h period (from 8 p.m. to 8 a.m.) after the remaining food has been dried under a fume hood to eliminate any traces of urine or water, thus reducing the risk of overestimating weight. Therefore, food intake to body weight ratio was calculated for each group (<xref ref-type="bibr" rid="B7">Asakawa et al., 2003</xref>).</p>
</sec>
<sec id="s2-6">
<label>2.6</label>
<title>Neurobehavioral study</title>
<p>A series of neurobehavioral tests were carried out to study the possible anxiety-like state and depressive-like behaviors in our PAE mice. Mice were subjected to handling methods before starting the experiments for at least three consecutive days, with 1&#xa0;min for each mouse, to reduce the stress levels and fear responses of the experimenter. On the test day, animals were placed in the experimentation room for 30&#xa0;min of acclimatization before starting the experiment. Finally, the various devices were cleaned after each test with 70% ethanol.</p>
<sec id="s2-6-1">
<label>2.6.1</label>
<title>Open field test</title>
<p>Used primarily to measure motor functions, the open field can also be used to assess anxiety-like level. An anxious-like animal avoids the center zone of the open field and stays close to the walls (peripheral area). The time spent in the peripheral area and the number of entries into the central zone are used to assess the degree of anxiety-like in rodents (<xref ref-type="bibr" rid="B76">Seibenhener and Wooten, 2015</xref>; <xref ref-type="bibr" rid="B30">El Hiba et al., 2012</xref>).</p>
</sec>
<sec id="s2-6-2">
<label>2.6.2</label>
<title>Social interaction test</title>
<p>In this test, we used the open field as an experimental device. Firstly, animals were habituated to the experimental apparatus, where each mouse was placed in the open field for a period of 5&#xa0;min. Next, an unfamiliar juvenile male mouse was introduced into the same open field, positioned as far away as possible from the mouse under study. Juveniles were carefully selected to minimize confounding variables that could affect social interaction and, thus, ensure reliable results. The selected juvenile mice were 1&#xa0;month old, an age at which mice are sufficiently developed to interact socially. They are of the same sex as the adult mice tested to prevent undesirable sexual behavior and of standardized size and weight to limit experimental variations. In addition, their health status is checked to ensure they show no signs of infection or other conditions. These juveniles come from the same strain as the adults, which reduces behavioral differences linked to genetic or environmental factors, and they have never been in contact with the adult mice tested, thus ensuring the absence of any previous influence. The behavior of each animal was then recorded using a top-mounted camera for a total of 5&#xa0;min. Observations recorded included the time spent by the studied mouse engaging in social interactions such as sniffing, nibbling, licking, pushing, jumping on, and going over or under the conspecific, as well as non-social behaviors such as resting, distancing, grooming, and exploring the open field (<xref ref-type="bibr" rid="B84">Swain and Le, 1998</xref>). The percentage of time spent engaging in social behaviors and non-social interactions was calculated (<xref ref-type="bibr" rid="B33">Flagstad et al., 2004</xref>).</p>
</sec>
<sec id="s2-6-3">
<label>2.6.3</label>
<title>Elevated plus maze test</title>
<p>The experimental setup consists of two open and two closed arms facing each other in the shape of a cross. All raised 50&#xa0;cm off the ground. Each arm is 30&#xa0;cm long and 7&#xa0;cm wide, and 30&#xa0;cm high walls enclose the closed arms. The test is based on the opposition between the natural behavior of exploring a new environment (the device) and the fear of bright and open environments (open arms). As a natural behavioral tendency, mice preferentially spend more time in the closed arms than in the open arms. However, increased anxiety is reflected by a greater amount of time spent in the closed arms and a higher frequency of closed-arm entries compared with less anxious mice. Following the method described by <xref ref-type="bibr" rid="B8">Benammi et al. (2014)</xref>, each animal was placed in the center of the elevated plus maze, facing a closed arm. The animals&#x2019; behavior was recorded by a camera (<xref ref-type="bibr" rid="B8">Benammi et al., 2014</xref>). The time spent in the open arms was quantified and used as an indication of anxiety-like behavior. An arm entry was considered complete only when all four paws were placed inside the arm.</p>
</sec>
<sec id="s2-6-4">
<label>2.6.4</label>
<title>Forced swim test</title>
<p>To assess depression-like, the forced swim test was used. It is one of the most commonly used tests for the study of depressive-like behavior in rodents. It is based on the hypothesis that placing an animal in a container filled with water will initially make efforts to escape but will eventually display an immobility that can be considered a measure of behavioral despair (<xref ref-type="bibr" rid="B68">Porsolt et al., 1977</xref>; <xref ref-type="bibr" rid="B62">Petit-Demouliere et al., 2005</xref>). This test has been widely used, as it involves exposing animals to stress, which has been shown to play a role in the tendency toward major depression (<xref ref-type="bibr" rid="B69">Porsolt et al., 1978</xref>; <xref ref-type="bibr" rid="B22">Cryan et al., 2002</xref>). The test is performed in a transparent Plexiglas cylinder (diameter: 20&#xa0;cm, height: 40&#xa0;cm) containing 30&#xa0;cm of water maintained at a temperature of 24&#xa0;&#xb0;C &#xb1; 1&#xa0;&#xb0;C. Mice are habituated 24&#xa0;h before the test by being placed individually in the water-filled cylinder for 15&#xa0;min. On test day, each mouse was again placed in the water-filled cylinder. The total immobility and mobility times over a 5-min period were measured (the mouse was considered immobile if it floated in the water, in an upright position, and only made small movements to keep its head above water) (<xref ref-type="bibr" rid="B88">Walf and Frye, 2007</xref>).</p>
</sec>
<sec id="s2-6-5">
<label>2.6.5</label>
<title>Tail suspension</title>
<p>We also used the tail suspension test to assess behavioral despair, or depression-like behavior in mice (<xref ref-type="bibr" rid="B28">Duman, 2010</xref>). This test is based on the observation that when mice are subjected to short, unavoidable stress by suspending them by their tails, they adopt an immobile posture (<xref ref-type="bibr" rid="B13">Carr and Lucki, 2010</xref>). In this test, mice are suspended from a lever by their tail, and their behavior is recorded over a 6-min period. Initially, mice struggle to escape but eventually adopt an immobile posture. The level of immobility relative to the mouse&#x2019;s active movement is recorded (<xref ref-type="bibr" rid="B75">Salehpour et al., 2019</xref>). The duration of both immobility and mobility are measured as an indicator of behavioral despair.</p>
</sec>
</sec>
<sec id="s2-7">
<label>2.7</label>
<title>Biochemical assessment</title>
<sec id="s2-7-1">
<label>2.7.1</label>
<title>Determination of biochemical markers of liver and kidney function</title>
<p>Serum levels of various markers were measured in samples from the jugular vein of mice in each group under anesthesia (urethane 1&#xa0;g/kg, i. p.). Blood samples were then centrifuged at 3,000&#xa0;rpm for 20&#xa0;min. Aspartate aminotransferase (AST), alanine aminotransferase (ALT), direct bilirubin (BD) and indirect bilirubin (BI), total bilirubin (BT) (as indicative of hepatic function), C-reactive protein (as a marker of systemic inflammation), urea (Ur), and creatinine (Cr) (as indicative of renal function) were measured using an automat (COBAS INTEGRA 400 plus, Laboratory of Biochemistry, Faculty of Medicine and Pharmacy, Cadi Ayyad University, Marrakech, Morocco).</p>
<p>This protocol is based on standard methods widely described in the literature for assessing liver and kidney toxicity in rodents (<xref ref-type="bibr" rid="B27">Dharnidharka et al., 2002</xref>; <xref ref-type="bibr" rid="B39">Gomez-Lechon et al., 2003</xref>; <xref ref-type="bibr" rid="B17">Chan et al., 2002</xref>). These biochemical parameters enable a global assessment of the effect of treatments on target organs.</p>
</sec>
<sec id="s2-7-2">
<label>2.7.2</label>
<title>Assessment of brain oxidative stress</title>
<p>In order to evaluate the possible oxidative stress in the brain of PAE mice, we quantified the activity of the enzymatic biomarker glutathione-S-transferase (GST), catalase (CAT), acetylcholinesterase (AChE), and malondialdehyde (MDA). Briefly, the mice brains are quickly removed and sampled separately at low temperature. All procedures and preparations were performed at 4&#xa0;&#xb0;C, then ground with an Ultra-Turax T25 in Tris buffer (100&#xa0;mM, pH: 7) at a rate of 3 volumes per gram of fresh weight. The homogenate is then centrifuged at 9,000&#xa0;<italic>g</italic> for 30&#xa0;min at 4&#xa0;&#xb0;C. Of note, to avoid the influence of weight on biomarkers, specimens were previously depicted, and those with the same tissue-weight range were selected throughout the sampling, and the resulting fraction called the S9 fraction (product tissue homogenate; post-mitochondrial fraction) was frozen in Eppendorf tubes at &#x2212;80&#xa0;&#xb0;C until use. The enzymatic biomarker responses, GST, CAT, and AChE, were quantified spectrophotometrically at wavelengths of 340&#xa0;nm, 240&#xa0;nm, and 420&#xa0;nm according to the methods of <xref ref-type="bibr" rid="B41">Habig et al. (1974)</xref>, <xref ref-type="bibr" rid="B3">Aebi and Bergmeyer, (1983)</xref>, <xref ref-type="bibr" rid="B31">Ellman et al. (1961)</xref> respectively (<xref ref-type="bibr" rid="B41">Habig et al., 1974</xref>; <xref ref-type="bibr" rid="B3">Aebi and Bergmeyer, 1983</xref>; <xref ref-type="bibr" rid="B31">Ellman et al., 1961</xref>). MDA was measured according to the method of <xref ref-type="bibr" rid="B83">Sunderman et al. (1985)</xref>, which uses the quantification of the formation of TBARS (Thiobarbituric acid reactive substance assay) by reference to MDA absorbance at 530&#xa0;nm (<xref ref-type="bibr" rid="B83">Sunderman et al., 1985</xref>). Total protein in the S9 fraction was determined according to the method of <xref ref-type="bibr" rid="B51">Lowry et al. (1951)</xref> using bovine serum albumin (BSA) as standard material (<xref ref-type="bibr" rid="B51">Lowry et al., 1951</xref>).</p>
</sec>
</sec>
<sec id="s2-8">
<label>2.8</label>
<title>Data acquisition and analysis</title>
<p>To avoid personal influences on the data validity, prior each data analysis including behavioral testing, radiograph scoring, and biochemical assays, specific labeling was assigned to each animal of each group of each study and then, data were analyzed by double-blinded investigators from our team, and the resulting data sets were subsequently compared and reconciled.</p>
</sec>
<sec id="s2-9">
<label>2.9</label>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using Sigma Stat software for all experiments. Data are expressed as mean &#xb1; standard error of the mean (SEM), and a p-value &#x3c;0.05 was considered statistically significant. Before any analysis, assumptions of normality were checked for each dataset using the Shapiro-Wilk test. Homogeneity of variances (homoscedasticity) was also tested using Levene&#x2019;s test, in accordance with ANOVA requirements. For the majority of comparisons between treatment groups, one-way ANOVA was used, followed by Tukey&#x2019;s post-hoc test in case of significance. This choice was based on our initial experimental design, which compared groups according to a single factor (treatment).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<label>3</label>
<title>Results</title>
<sec id="s3-1">
<label>3.1</label>
<title>Litter size and postnatal mortality</title>
<p>By calculating the average number of litters per female, we observed a slight but non-significant reduction in litter size in the Et &#x2b; Pyr group compared with the control (p &#x3d; 0.620) and Pyr (p &#x3d; 0.165) groups (<xref ref-type="table" rid="T1">Table 1</xref>). A similar pattern was observed for postnatal deaths, with a minor, non-significant increase in the average number of postnatally dead offspring per female in the Et &#x2b; Pyr group compared with the control (p &#x3d; 0.699) and Pyr (p &#x3d; 0.699) groups. Additionally, no significant differences were observed between the Pyr and control groups in either litter size (p &#x3d; 0.699) or postnatal deaths (p &#x3d; 0.1).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Litter size and postnatal mortality rate in the Et &#x2b; Pyr females compared to controls and Pyr groups. Data are represented as main value &#xb1;SEM.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Groups</th>
<th align="left">Average number of litters per female</th>
<th align="left">Average number of postnatal mortality of fetuses per female</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Control group (C)</td>
<td align="left">5.33 &#xb1; 0.33</td>
<td align="left">0.33 &#xb1; 0.21</td>
</tr>
<tr>
<td align="left">Group (Et &#x2b; Pyr)</td>
<td align="left">5 &#xb1; 0.33</td>
<td align="left">0.6 &#xb1; 0.36</td>
</tr>
<tr>
<td align="left">Pyrazole group (Pyr)</td>
<td align="left">5.5 &#xb1; 0.22</td>
<td align="left">0.33 &#xb1; 0.21</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-2">
<label>3.2</label>
<title>Body weight evolution of the pregnant females</title>
<p>Our results showed a slight and non-significant reduction in body weight in Et &#x2b; Pyr females compared with the Pyr and control groups from D0 to D13; however, highly significant differences were observed at D15 and D18 (p &#x3c; 0.001; <xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Histograms showing maternal weight gain evolution measurement during gestation in the different studied groups. C (n &#x3d; 6): control, Pyr (n &#x3d; 6): mice treated with pyrazole, Et &#x2b; Pyr (n &#x3d; 6): group treated with ethanol and pyrazole. Data are presented as mean values &#xb1;S.E.M.</p>
</caption>
<graphic xlink:href="fcell-14-1742806-g003.tif">
<alt-text content-type="machine-generated">Line graph showing maternal weight gain in grams over 18 days for three groups: control (C), pyrazole (Pyr), and ethanol plus pyrazole (Et+Pyr). Ethanol/pyrazole is administered on day 10 and day 13. The control group shows steady weight gain, while the Pyr and Et+Pyr groups increase more significantly after administration. Error bars indicate variability. Statistical significance is noted with asterisks and hashes</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<label>3.3</label>
<title>Body weight, size evolution, and food intake measurement</title>
<p>Our results showed a highly significant decrease in body weight in the Et &#x2b; Pyr group compared to the control (C) and pyrazole (Pyr) groups from P0 to P90 (<xref ref-type="fig" rid="F4">Figure 4A</xref>). A similar finding was noted for body size, which was significantly reduced in the Et &#x2b; Pyr group compared to the C and Pyr groups from P7 to P90 (<xref ref-type="fig" rid="F4">Figure 4B</xref>), while no significant difference was found between the C and Pyr groups. Additionally, food intake was significantly decreased in the Et &#x2b; Pyr group compared to controls (p &#x3c; 0.001) (<xref ref-type="fig" rid="F4">Figure 4C</xref>). No significant differences were observed between the C and Pyr groups across these parameters.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Histograms showing body weight <bold>(A)</bold> and body size <bold>(B)</bold> evolution as well as food intake <bold>(C)</bold> measurement in the different studied groups. C (n &#x3d; 6): control, Pyr (n &#x3d; 6): mice treated with pyrazole, Et &#x2b; Pyr (n &#x3d; 6): group treated with ethanol and pyrazole. Data are presented as mean values &#xb1;S.E.M. &#x2a;p &#x3c; 0.05, &#x2a;&#x2a;p &#x3c; 0.01, &#x2a;&#x2a;&#x2a;p &#x3c; 0.001 vs. C, &#x23;p &#x3c; 0.05, &#x23;&#x23;p &#x3c; 0.01, &#x23;&#x23;&#x23;p &#x3c; 0.001 vs. Pyr.</p>
</caption>
<graphic xlink:href="fcell-14-1742806-g004.tif">
<alt-text content-type="machine-generated">Three charts illustrating body measurement studies. Chart A shows body weight evolution over time, with three groups: control, Pyr, and Et+Pyr. Chart B depicts body size growth for the same groups. Chart C displays mean food intake to body weight ratio, indicating lower intake for the Et+Pyr group compared to control and Pyr. Error bars indicate variability. Statistical significance is noted with asterisks and hashes.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4">
<label>3.4</label>
<title>Morphometric study of vital organs</title>
<p>Macroscopically, the external appearance of vital organs, including the brain (<xref ref-type="fig" rid="F5">Figure 5A</xref>), liver (<xref ref-type="fig" rid="F5">Figure 5B</xref>), spleen (<xref ref-type="fig" rid="F5">Figure 5C</xref>), and kidneys (<xref ref-type="fig" rid="F5">Figure 5D</xref>) of Et &#x2b; Pyr group is similar to that of mice in the C group and Pyr mice. Nevertheless, a slight decrease in organ weight was observed in the Et &#x2b; Pyr compared with the C and Pyr groups, although this was not statistically significant.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Histogram showing organ-to-bodyweight ratio in the different groups studied. C (n &#x3d; 6): control, Pyr (n &#x3d; 6): mice treated with pyrazole, Et &#x2b; Pyr (n &#x3d; 6): group treated with ethanol and pyrazole. <bold>(A)</bold> brain, <bold>(B)</bold> liver, <bold>(C)</bold> spleen, <bold>(D)</bold> kidneys. Data are presented as mean values &#xb1;S.E.M.</p>
</caption>
<graphic xlink:href="fcell-14-1742806-g005.tif">
<alt-text content-type="machine-generated">Bar graphs showing body weight ratios for different organs in three groups: Control (C), Pyr, and Et+Pyr. Graph A displays brain/body weight ratio; B shows liver/ body weight ratio; C presents spleen/body weight ratio; D illustrates kidneys/body weight ratio. In each graph, the Et+Pyr group consistently shows a lower ratio compared to C and Pyr. Error bars indicate variability.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-5">
<label>3.5</label>
<title>Radiological study</title>
<p>The results show, regarding femur and tibia length, that the Et &#x2b; Pyr group has significantly lower sizes compared to controls and pyrazole groups (p &#x3c; 0.001, <xref ref-type="fig" rid="F6">Figure 6A</xref> and p &#x3c; 0.001; <xref ref-type="fig" rid="F6">Figure 6B</xref>, respectively). Similarly, the foreleg bones reveal significant changes. Hence, the length of the humerus in the Et &#x2b; Pyr group was slightly reduced compared to the C and Pyr groups, however, this difference was not statistically significant (<xref ref-type="fig" rid="F6">Figure 6C</xref>). For the radius, a statistically highly significant reduction (p &#x3c; 0.01, <xref ref-type="fig" rid="F6">Figure 6D</xref>) of the bone size was observed in the Et &#x2b; Pyr group compared with the other two groups. Otherwise, for the caudal and dorsal rachis, we noted the similar trend, with the length of the dorsal rachis being statistically lower (p &#x3c; 0.05, <xref ref-type="fig" rid="F6">Figure 6G</xref>) in the Et &#x2b; Pyr group compared with the two other groups, while the caudal rachis did not reach the signification level (<xref ref-type="fig" rid="F6">Figure 6H</xref>; p &#x3d; 0.397). Finally, our results showed a decrease in condylobasal length and bi-parietal width, this difference being statistically highly significant (p &#x3c; 0.001, <xref ref-type="fig" rid="F6">Figure 6E</xref> and p &#x3c; 0.001; <xref ref-type="fig" rid="F6">Figure 6F</xref>, respectively) in the Et &#x2b; Pyr group compared with Pyr and control mice.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Histograms depicting bones&#x2019; lengths in the different studied groups. C (n &#x3d; 6): control, Pyr (n &#x3d; 6): mice treated with pyrazole, Et &#x2b; Pyr (n &#x3d; 6): group treated with ethanol and pyrazole. <bold>(A)</bold> Average femur length, <bold>(B)</bold> Average tibia length, <bold>(C)</bold> Average humerus length, <bold>(D)</bold> Average radius length, <bold>(E)</bold> Average condylobasal length of the skull, <bold>(F)</bold> Average biparietal width, <bold>(G)</bold> Average dorsal rachis length, <bold>(H)</bold> Average caudal rachis length. Data are presented as mean values &#xb1;S.E.M. &#x2a;p &#x3c; 0.05, &#x2a;&#x2a;p &#x3c; 0.01, &#x2a;&#x2a;&#x2a;p &#x3c; 0.001 vs. C, &#x23;p &#x3c; 0.01, &#x23;&#x23;&#x23;p &#x3c; 0.001 vs. Pyr.</p>
</caption>
<graphic xlink:href="fcell-14-1742806-g006.tif">
<alt-text content-type="machine-generated">Bar graphs labeled A to H compare average lengths of various body parts (femur, tibia, humerus, radius, condylobasal, bi-parietal width, dorsal rachis, and caudal rachis) among three groups: C (control), Pyr, and Et+Pyr. Significant decreases in length are noted in the Et+Pyr group for most categories. Error bars indicate variability. Statistical significance is noted with asterisks and hashes.</alt-text>
</graphic>
</fig>
<p>In addition, a scoliotic deformity is characterized by an abnormal lateral curvature of the rachis (50&#xb0; to the medial line) which is clearly identifiable in Et &#x2b; Pyr mice (<xref ref-type="fig" rid="F7">Figure 7B</xref> b2). Whereas, a right asymmetrical cranial bones deformities were also observed with frontal bone dissymmetry in the Et &#x2b; Pyr (0.25&#xa0;cm right of the medial line and 0.375&#xa0;cm left) (<xref ref-type="fig" rid="F7">Figure 7B</xref> b1) compared to controls and Pyr mice (0.5&#xa0;cm both left and right sides) (<xref ref-type="fig" rid="F7">Figure 7A</xref> a1, <xref ref-type="fig" rid="F7">Figure 7C</xref> c1).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>X-ray image of the skeleton of mice from different groups. <bold>(A)</bold> control, <bold>(B)</bold> ethanol &#x2b; Pyrazole, <bold>(C)</bold> Pyrazole. Black arrow; tibial alteration. b1; cranial asymmetry (yellow arrow). b2: scoliotic deformities.</p>
</caption>
<graphic xlink:href="fcell-14-1742806-g007.tif">
<alt-text content-type="machine-generated">X-ray images of three mice labeled A, B, and C, each showing their skeletal structures. Each panel includes highlighted sections on the head and abdomen with dashed boxes. Insets a1, b1, c1 display detailed views of the head, with measurements. Insets a2, b2, c2 show the abdominal area&#x2019;s details in the C, Et+Pyr and Pyr respectively. As shown in b2, scoliotic deformity (50&#x00B0;) is noted in the Et+Pyr group compared to C and Pyr alone. Length scales are provided in centimeters.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-6">
<label>3.6</label>
<title>Results of neurobehavioral assessment</title>
<sec id="s3-6-1">
<label>3.6.1</label>
<title>Social interaction test</title>
<p>The effect of PAE on the social behavior of adult mice showed a significant decrease in social interaction time in Et &#x2b; Pyr group compared to the C and Pyr groups (p &#x3c; 0.05, <xref ref-type="fig" rid="F8">Figure 8A</xref>). While no significant difference in social interaction time was observed between the controls and Pyr groups (p &#x3d; 0.855). While non-interaction time exhibited no significant differences between Et &#x2b; Pyr and controls and Pyr groups (<xref ref-type="fig" rid="F8">Figure 8B</xref>).</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Histograms depicting the average time spent in social interaction <bold>(A)</bold> and non-social interaction <bold>(B)</bold> in the three studied groups. C (n &#x3d; 6): control, Pyr (n &#x3d; 6): mice treated with pyrazole, Et &#x2b; Pyr (n &#x3d; 6): group treated with ethanol and pyrazole. Data are presented as mean values &#xb1;S.E.M. &#x2a;p &#x3c; 0.05, &#x23;p &#x3c; 0.05 vs. control.</p>
</caption>
<graphic xlink:href="fcell-14-1742806-g008.tif">
<alt-text content-type="machine-generated">Bar graphs showing social interaction time (A) and non-interaction time (B) in seconds for three groups: C, Pyr, and Et+Pyr. Social interaction time decreases significantly in Et+Pyr. Error bars indicate variability. Statistical significance is noted with asterisks and hashes.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-6-2">
<label>3.6.2</label>
<title>Elevated plus maze test</title>
<p>Anxiety was assessed in our mice using the elevated plus maze test. We observed a highly significant decrease in the time spent in the open arms with a significant increase in time spent closed arms in mice Et &#x2b; Pyr group compared with the control group, and with mice Pyr group (<xref ref-type="fig" rid="F9">Figure 9</xref>). While no significant differences were noted between the C and Pyr groups.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Histograms showing the average time spent in the open arms <bold>(A)</bold>, closed arms <bold>(B)</bold> and number of entries into the open arms <bold>(C)</bold> in the different groups. C (n &#x3d; 6): control, Pyr (n &#x3d; 6): mice treated with pyrazole, Et &#x2b; Pyr (n &#x3d; 6): group treated with ethanol and pyrazole. Data are presented as mean values &#xb1;S.E.M. &#x2a;&#x2a;p &#x3c; 0.01, &#x2a;&#x2a;&#x2a;p &#x3c; 0.001 vs. C, &#x23;&#x23;p &#x3c; 0.01vs. Pyr.</p>
</caption>
<graphic xlink:href="fcell-14-1742806-g009.tif">
<alt-text content-type="machine-generated">Bar graphs comparing control (C), Pyr, and Et+Pyr groups. Panel A shows the time spent in open arms, with the Et+Pyr group spending significantly less time. Panel B shows time in closed arms, with the Et+Pyr group spending significantly more time. Panel C shows the number of entries into open arms, with the Et+Pyr group having fewer entries. Error bars indicate variability. Statistical significance is noted with asterisks and hashes.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-6-3">
<label>3.6.3</label>
<title>Open field test</title>
<p>Our results showed a significant increase in the time spent in the peripheral area in Et &#x2b; Pyr mice compared with C and Pyr groups (p &#x3c; 0.05, <xref ref-type="fig" rid="F10">Figure 10A</xref>). Otherwise, there was a highly decreased number of entries into the central zone of the open field in Et &#x2b; Pyr group mice compared with C and Pyr mice (p &#x3c; 0.001, <xref ref-type="fig" rid="F10">Figure 10B</xref>). However, no difference was observed between the pyrazole and control groups (p &#x3d; 0.525).</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Histograms showing the average time spent in the peripheral area of the open field <bold>(A)</bold> and the number of entries into the central area <bold>(B)</bold> in the different groups. (n &#x3d; 6). &#x2a;p &#x3c; 0.05, &#x2a;&#x2a;&#x2a;p &#x3c; 0.001 vs. C, &#x23;p &#x3c; 0.05, &#x23;&#x23;&#x23;p &#x3c; 0.001 vs. Pyr.</p>
</caption>
<graphic xlink:href="fcell-14-1742806-g010.tif">
<alt-text content-type="machine-generated">Bar charts labeled A and B compare three groups: C, Pyr, and Et+Pyr. Chart A shows time spent in the peripheral area, with Et+Pyr having the highest time. Chart B shows the number of entries into the central area, with Et+Pyr having the fewest. Error bars indicate variability. Statistical significance is noted with asterisks and hashes.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-6-4">
<label>3.6.4</label>
<title>Forced swim and tail suspension tests</title>
<p>Our results showed a highly significant increase in immobility time (<xref ref-type="fig" rid="F11">Figure 11A</xref>) with decreased mobility (<xref ref-type="fig" rid="F11">Figure 11B</xref>) in the Et &#x2b; Pyr group compared with C and Pyr groups in the forced-swim test. Similarly, in the tail suspension test, Et &#x2b; Pyr group exhibited a significant increase in immobility time (<xref ref-type="fig" rid="F11">Figure 11C</xref>) and a decrease in mobility (<xref ref-type="fig" rid="F11">Figure 11D</xref>) compared to both the C and Pyr groups. However, no significant difference between the Pyr group and the C group in both tests was noted.</p>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Histograms depicting average immobility and mobility times in the forced swim test and the tail suspension test in the different groups. <bold>(A,B)</bold> Forced swim test; <bold>(C,D)</bold> Tail suspension test. C (n &#x3d; 6): control, Pyr (n &#x3d; 6): mice treated with pyrazole, Et &#x2b; Pyr (n &#x3d; 6): group treated with ethanol and pyrazole. Data are presented as mean values &#xb1;S.E.M. &#x2a;p &#x3c; 0.05, &#x2a;&#x2a;p &#x3c; 0.01, &#x2a;&#x2a;&#x2a;p &#x3c; 0.01 vs. C, &#x23;p &#x3c; 0.05, &#x23;&#x23;p &#x3c; 0.01, &#x23;&#x23;&#x23;p &#x3c; 0.001 vs. Pyr.</p>
</caption>
<graphic xlink:href="fcell-14-1742806-g011.tif">
<alt-text content-type="machine-generated">Bar graphs labeled A, B, C, and D display respectively in the C, Et+Pyr and Pyr groups, immobility time, mobility time in the forced swim test, immobility time and mobility time in the tail suspension test. Graphs A and C show higher immobility times for Et+Pyr, while B and D show decreased mobility times for Et+Pyr. Error bars indicate variability. Statistical significance is noted with asterisks and hashes.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s3-7">
<label>3.7</label>
<title>Biochemical analysis</title>
<sec id="s3-7-1">
<label>3.7.1</label>
<title>Study of liver and kidney functions</title>
<p>Our results of biochemical parameters of liver and kidney functions in the different groups show subtle but not significant variations in all the assessed markers. Uremia appears to be slightly increased in mice treated with Et &#x2b; Pyr group compared to the C groups and to the Pyr group, but these differences are not statistically significant (p &#x3d; 0.242; p &#x3d; 0.486, respectively, <xref ref-type="fig" rid="F12">Figure 12</xref>). Likewise, creatinine levels did not show significant variations between the groups (<xref ref-type="fig" rid="F12">Figure 12</xref>). Regarding the liver enzymes AST and ALT, a slight increase, but not significant, is observed in Et &#x2b; Pyr group compared to the other two groups: C (p &#x3d; 0.07; p &#x3d; 0.960, respectively) and Pyr (p &#x3d; 0.096; p &#x3d; 0.288, respectively).</p>
<fig id="F12" position="float">
<label>FIGURE 12</label>
<caption>
<p>Histograms depicting plasma levels of different biochemical markers of liver and kidney functions. <bold>(A)</bold> Aspartate aminotransferase, <bold>(B)</bold> Alanine aminotransferase, <bold>(C)</bold> Total bilirubin, <bold>(D)</bold> Direct bilirubin, <bold>(E)</bold> Indirect bilirubin, <bold>(F)</bold> Urea, <bold>(G)</bold> Creatinine, <bold>(H)</bold> C-reactive protein in the studied groups: C (n &#x3d; 5): control, Pyr (n &#x3d; 5): mice treated with pyrazole, Et &#x2b; Pyr (n &#x3d; 5): group treated with ethanol and pyrazole. Data are presented as mean values &#xb1;S.E.M.</p>
</caption>
<graphic xlink:href="fcell-14-1742806-g012.tif">
<alt-text content-type="machine-generated">Eight bar graphs labeled A to H compare various biochemical markers across three groups: C, Pyr, and Et+Pyr. Graph A shows aspartate aminotransferase levels, B shows alanine aminotransferase, C shows total bilirubin, D shows direct bilirubin, E shows indirect bilirubin, F shows urea, G shows creatinine, and H shows C-reactive protein. Each graph displays similar levels across groups, with slight variations. Error bars indicate variability.</alt-text>
</graphic>
</fig>
<p>Additionally, direct, indirect, and total bilirubin as well as CRP levels did not show any statistically significant differences among the three studied groups (<xref ref-type="fig" rid="F12">Figure 12</xref>).</p>
</sec>
<sec id="s3-7-2">
<label>3.7.2</label>
<title>Brain oxidative stress</title>
<p>Our results of the possible state of brain oxidative stress following PAE showed a significant elevation in AChE activity in the Et &#x2b; Pyr group compared to the C and mice Pyr (p &#x3c; 0.01, <xref ref-type="fig" rid="F13">Figure 13A</xref>). Similarly, there was a significant increase in the GST (p &#x3c; 0.05, <xref ref-type="fig" rid="F13">Figure 13B</xref>), and catalase activities (p &#x3c; 0.05, <xref ref-type="fig" rid="F13">Figure 13C</xref>), in the Et &#x2b; Pyr group compared to C and mice Pyr group. However, there was no difference between the C group and Pyr mice. The measurement of MDA levels, as a product of lipid peroxidation, shows a slight non-significant increase in the Et &#x2b; Pyr group compared to controls and Pyr mice (p &#x3d; 0.09; p &#x3d; 0.1, respectively; <xref ref-type="fig" rid="F13">Figure 13D</xref>).</p>
<fig id="F13" position="float">
<label>FIGURE 13</label>
<caption>
<p>Histograms depicting brain tissue levels of oxidative stress markers <bold>(A)</bold> acetylcholinesterase (AChE). <bold>(B)</bold> Glutathione S-Transferase (GST). <bold>(C)</bold> catalase (CAT). <bold>(D)</bold> malondialdehyde (MDA) at the brain level in the different groups studied. C (n &#x3d; 5): control, Pyr (n &#x3d; 5): mice treated with pyrazole, Et &#x2b; Pyr (n &#x3d; 5): mice treated with ethanol &#x2b; pyrazole. Data are presented as mean values &#xb1;S.E.M. &#x2217; p &#x3c; 0.05, &#x2a;&#x2a;p &#x3c; 0.01 vs. C, &#x23;p &#x3c; 0.05, &#x23;&#x23;p &#x3c; 0.01 vs. Pyr.</p>
</caption>
<graphic xlink:href="fcell-14-1742806-g013.tif">
<alt-text content-type="machine-generated">Four bar graphs labeled A through D compare enzyme activity or MDA levels in three groups: Control (C), Pyr, and Et+Pyr. In all panels, the Et+Pyr group shows a significant increase compared to the other groups. Panel A: Acetylcholinesterase (AChE) activity; Panel B: Glutathione S-transferase (GST) activity; Panel C: Catalase activity; Panel D: Malondialdehyde (MDA) levels. Error bars indicate variability. Statistical significance is noted with asterisks and hashes.</alt-text>
</graphic>
</fig>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<label>4</label>
<title>Discussion</title>
<p>Through the present study, we explored the consequences of PAE on postnatal development in mice, with a focus on mood disorders, particularly depression and anxiety-like states, along with body growth patterns. Female mice with vaginal plugs received two intraperitoneal injections of ethanol (1&#xa0;g/kg BW) at the GD10 and GD13 concomitant with pyrazole, which is used to inhibit the enzyme alcohol dehydrogenase (AD) leading to prolonged ethanol half-life. Indeed, according to previous literature reports on rats and mice, blood ethanol immediately increases following intraperitoneal administration and is maintained over 6&#xa0;h (<xref ref-type="bibr" rid="B49">Livy et al., 2003</xref>). With pyrazole (used in the present investigation), body clearance of ethanol may be slowed allowing ethanol to exert its central effects. This increases the direct exposure of the developing brain to alcohol, enabling a better understanding of the direct effects of ethanol on the nervous system during development while minimizing the influence of metabolites such as acetaldehyde toxicity (<xref ref-type="bibr" rid="B80">Smimih et al., 2023</xref>).</p>
<p>Here, we have brought further data on the neurotoxic effects of ethanol exposure during the early life stages on the adult CNS function. Our results showed, the presence of anxiety and depressive-like behaviors in mice exposed prenatally to alcohol, as well as a severe deficiency in whole-body growth. At the peripheral level, our PAE mice exhibited a notable decrease in body weight concomitant with body growth deficits, even observed in the skeleton size of different bones. These results highlight the teratogenic potential of PAE, widely recognized for its ability to disrupt normal fetal development and compromise intrauterine growth. More specifically, the decrease in body weight observed in offspring is consistent with a large body of data showing that PAE can significantly alter somatic growth trajectories. Several experimental studies in rodents have demonstrated that exposure to ethanol during gestation results in a marked reduction in birth weight, as well as postnatal growth retardation (<xref ref-type="bibr" rid="B80">Smimih et al., 2023</xref>; <xref ref-type="bibr" rid="B14">Carter et al., 2012</xref>; <xref ref-type="bibr" rid="B19">Chen and Nyomba, 2003</xref>; <xref ref-type="bibr" rid="B23">Day et al., 2002</xref>). These alterations could result from alcohol-induced placental dysfunction, increased oxidative stress, and impaired nutrient transport, all of which contribute to growth restriction during critical developmental periods. Thus, in pregnant mice intoxicated orally with 25% (v/v) ethanol, some authors have reported a decrease in body weight at birth and at the adult stage reflecting marked teratogenic effects (<xref ref-type="bibr" rid="B2">Abbott et al., 2016</xref>). This type of exposure mimics regular, sustained alcohol consumption by pregnant women. However, other studies found no significant effect of PAE on body weight or postnatal growth, which could be explained by differences in exposure protocol. For example, some studies have used low to moderate doses (below 2&#xa0;g/kg/day), often administered over limited time windows (<italic>e.g</italic>., GD7 to GD9) or intermittent modes of administration, which do not reflect chronic intoxication conditions (<xref ref-type="bibr" rid="B44">Kaminen-Ahola et al., 2010</xref>; <xref ref-type="bibr" rid="B43">Ieraci and Herrera, 2006</xref>). These parameters can significantly influence the occurrence or non-occurrence of teratogenic effects, underlining the importance of dose, duration, and mode of exposure in the interpretation of results. Indeed, (<xref ref-type="bibr" rid="B56">Middaugh et al., 1988</xref>), using the C57BL/6Cr mouse model, reported that the body weight of pups born to females fed a liquid diet containing 5% ethanol (v/v) throughout gestation did not differ significantly from that of controls until weaning. This protocol, based on continuous moderate chronic exposure, could explain the lack of effect on growth observed in this study (<xref ref-type="bibr" rid="B56">Middaugh et al., 1988</xref>).</p>
<p>Similarly, some studies have explored the molecular mechanisms underlying the effects of PAE on body weight which may involve a possible altered IGF-A and two and/or negative growth regulators H9 expressions (<xref ref-type="bibr" rid="B52">Marjonen et al., 2018</xref>; <xref ref-type="bibr" rid="B54">Mart&#xed;n-Estal et al., 2022</xref>).</p>
<p>On the other hand, our PAE mice exhibited decreased food intake, suggesting that PAE could disrupt the regulation of appetite and food intake or even profoundly affect energy metabolism. Indeed, it has been suggested that alcohol and its metabolites may interfere with neuroendocrine pathways regulating hunger and satiety, which could explain this reduction in food intake (<xref ref-type="bibr" rid="B94">Wurst et al., 2007</xref>; <xref ref-type="bibr" rid="B12">Calissendorff et al., 2006</xref>). Moreover, our results are consistent with those described by (<xref ref-type="bibr" rid="B59">Montagud-Romero et al., 2021</xref>), who examined the impact of PAE on food intake in adolescent mice. The study found that mice exposed to alcohol consumed significantly less food compared to control mice (<xref ref-type="bibr" rid="B59">Montagud-Romero et al., 2021</xref>). However, in another study, authors examined the long-term consequences of PAE on metabolic functions, including food intake, in adult mice and found that mice exposed to alcohol during gestation showed impairments in food intake, increased appetite, and higher food consumption compared to control mice (<xref ref-type="bibr" rid="B12">Calissendorff et al., 2006</xref>). However, other studies have reported no significant alterations in food consumption in mice prenatally exposed to alcohol (<xref ref-type="bibr" rid="B18">Chaudoin et al., 2023</xref>). These discrepancies can be attributed to variations in experimental protocols, exposure duration and period, and the animal model used.</p>
<p>Such effects on food intake behavior could imply a possible neuro-modulatory effect of alcohol. Whereas, our study revealed skeletal morphological abnormalities, suggesting that the effects of prenatal alcohol exposure may extend well beyond the digestive and metabolic systems, also affect bone development. In particular, a scoliotic deformity, characterized by an abnormal lateral curvature of the spine, is clearly identifiable in mice treated with ethanol. In addition, alterations were observed in the tibia, suggesting significant structural changes in this region. Additionally, we noted cranial deformities (asymmetry), indicating disturbances in skull bone formation. Our results support observations from other studies indicating that PAE can significantly impact body growth and bone development (<xref ref-type="bibr" rid="B93">Wu et al., 2020</xref>). Alternatively, the reduction in bone length still observed in our mice highlights the negative effect of alcohol on bone mineralization and density, probably due to disturbances in calcium homeostasis and dysfunctions of osteoblasts, essential for bone growth (<xref ref-type="bibr" rid="B81">Snow and Keiver, 2007</xref>). A study conducted by (<xref ref-type="bibr" rid="B81">Snow and Keiver, 2007</xref>) investigating rats at the fetal stage revealed that prenatal exposure to ethanol results in a reduction in fetal bone length, attributed to shortening of the shaft and a decrease in the length of the resting zone (<xref ref-type="bibr" rid="B81">Snow and Keiver, 2007</xref>). Furthermore, ethanol appears to induce subtle changes in the organization of the epiphysis, including an increase in the length of the hypertrophic zone. These results suggest that ethanol affects later stages of bone development, probably after cartilage mineralization, while its impact on the resting zone indicates that it could also influence the early stages of the developmental process. In another study of children diagnosed with FASD or at risk for FASD, it was shown that during adolescence (10&#x2013;15 years), subjects with FASD were significantly smaller and had lower bone mineral density, bone mineral content, and lean tissue mass (<xref ref-type="bibr" rid="B95">Young et al., 2022</xref>).</p>
<p>We also evaluated the weight of vital organs; although we did not observe significant macroscopic modifications, a trend toward reduction in the weight of these organs without apparent changes in their morphology was observed, suggesting a subtle effect of alcohol exposure on organ growth and functions. These observations are in agreement with previous studies, which highlighted the direct cytotoxic effects of alcohol, capable of inducing oxidative stress and contributing to organ atrophy (<xref ref-type="bibr" rid="B89">Weeks et al., 2020</xref>). Besides, biochemical analyses revealed no significant differences in markers of hepatic and renal function, including notably urea, creatinine, AST, ALT, and bilirubin, as well as the inflammatory marker C-reactive protein (CRP) in PAE mice leading to exclude subsequent liver and/or kidneys dysfunctions. However, our data appear to be inconsistent with other studies reporting biochemical variations in markers of renal and hepatic function following exposure to ethanol (<xref ref-type="bibr" rid="B4">Akison et al., 2020</xref>; <xref ref-type="bibr" rid="B61">Nakhoul et al., 2017</xref>; <xref ref-type="bibr" rid="B48">Liu et al., 2016</xref>). Such a discrepancy would probably be due to differences between our dose used and those of other studies, which may be below the threshold of toxicity manifested, the period of exposure, and even the animal species used. Indeed, a study carried out by (<xref ref-type="bibr" rid="B73">Rozman et al., 2010</xref>) highlighted the importance of the dose in the manifestation of the toxic effects of ethanol (<xref ref-type="bibr" rid="B73">Rozman et al., 2010</xref>). On the other hand, at the central level, our results revealed significant changes in the oxidative stress markers in the brain tissue of mice exposed to ethanol, indicating a potential brain oxidative stress following PAE. Hence, the increase in AChE activity in mice exposed to ethanol could have detrimental effects on the cholinergic neurotransmission in the brain of PAE mice, suggesting the potential effect of alcohol on the cholinergic system. Whereas, we noted a particular discrepancy with regards to previous studies reporting inhibition rather than increased AChE activities, both of them may reflect either a possible fetal imbalance in the cholinergic neurotransmission patterns or even a neurotoxic effect through promoting increased ROS production and decreased antioxidant capacity, leading to oxidative stress and aggravating cellular damage in the brain (<xref ref-type="bibr" rid="B21">Costa et al., 2013</xref>). Furthermore, the significant increase in GST activity in ethanol-exposed mice suggests an increased antioxidant response to ROS in the brain following PAE. Such an increase is consistent with previous studies that have also demonstrated an increase in GST in response to oxidative stress induced by prenatal exposure to ethanol or other toxic compounds (<xref ref-type="bibr" rid="B60">Montoliu et al., 1995</xref>; <xref ref-type="bibr" rid="B26">Devi et al., 1996</xref>; <xref ref-type="bibr" rid="B77">Shearn et al., 2016</xref>).</p>
<p>In addition, the enzymatic activity of catalase also showed a significant increase in mice exposed to ethanol, indicating, as for the previous enzymes, an antioxidant response to oxidative stress. It is important to note that approximately 60% of the enzymatic system involved in ethanol metabolism is already active during early ontogeny (<xref ref-type="bibr" rid="B98">Zimatkin et al., 2006</xref>; <xref ref-type="bibr" rid="B6">Aragon et al., 1991</xref>), with peak activity occurring from late gestation to the first postnatal week (<xref ref-type="bibr" rid="B24">Del Maestro and McDonald, 1987</xref>). These developmental dynamics may partly explain the observed increase in catalase activity in response to ethanol-induced oxidative stress during this sensitive period. This observation is consistent with other studies that also reported an increase in catalase in response to ethanol-induced oxidative stress (<xref ref-type="bibr" rid="B78">Shili et al., 2021</xref>; <xref ref-type="bibr" rid="B29">D&#x2019;aloisio et al., 2022</xref>). Additionally, MDA levels showed a slight and non-significant increase in mice prenatally exposed to ethanol. However, previous studies have reported a significant increase in MDA levels in response to ethanol exposure, suggesting significant lipid peroxidation and cellular damage (<xref ref-type="bibr" rid="B50">Lopatynska-Mazurek et al., 2021</xref>; <xref ref-type="bibr" rid="B86">Tsermpini et al., 2022</xref>; <xref ref-type="bibr" rid="B35">Gauthier et al., 2005</xref>). While MDA did not reach statistical significance, we observed significant increases in AChE activity, Catalase, and GST, indicating activation of antioxidant defense mechanisms. These changes reflect altered redox homeostasis and a compensatory response to increased oxidative burden, even in the absence of robust lipid peroxidation.</p>
<p>Our neurobehavioral study revealed elevated anxiety and depressive-like behaviors as well as impaired social interaction in PAE mice. Such disturbances could be attributed to dysregulation of brain structures involved in the control of anxiety, depression, and social behavior, including the prefrontal cortex, hippocampus, amygdala, and nucleus accumbens. These regions form an integrated neural network that regulates emotional processing, stress responsiveness, and social cognition, and are particularly vulnerable to prenatal environmental insults including PAE. Disruption of their structural and functional connectivity during critical periods of neurodevelopment may therefore underlie the behavioral abnormalities observed in PAE mice. Our finding is corroborated by studies conducted by (<xref ref-type="bibr" rid="B32">Fish et al., 2016</xref>), who reported altered social behavior and altered sociability in adult mice prenatally exposed to alcohol (<xref ref-type="bibr" rid="B32">Fish et al., 2016</xref>). Additionally, in rats exposed to alcohol, <xref ref-type="bibr" rid="B79">Sliwowska et al. (2010)</xref> found a reduction in the hippocampal volume, a structure involved in the regulation of anxiety (<xref ref-type="bibr" rid="B79">Sliwowska et al., 2010</xref>). Thus (<xref ref-type="bibr" rid="B79">Sliwowska et al., 2010</xref>), demonstrated that prenatal exposure to alcohol leads to the dysregulation of the hypothalamic-pituitary-adrenal axis in mice (<xref ref-type="bibr" rid="B91">Wieczorek et al., 2015</xref>). This axis is responsible for controlling the body&#x2019;s response to stress, and its dysregulation can contribute to anxiety-like responses. In another study conducted by <xref ref-type="bibr" rid="B53">Marquardt and Brigman (2016)</xref>, the prefrontal cortex and the amygdala, two critical brain regions involved in the regulation of social behavior were examined. The authors noted a significant decrease in neuronal density in the prefrontal cortex of mice exposed to alcohol compared to control mice (<xref ref-type="bibr" rid="B53">Marquardt and Brigman, 2016</xref>). Furthermore, the alcohol-exposed group showed reduced expression of genes associated with synaptic plasticity and amygdala neurodevelopment, a key structure in anxiety control and social behavior. Another study by <xref ref-type="bibr" rid="B45">Laufer et al. (2013)</xref> explored the role of epigenetic modifications in prenatal alcohol-induced social deficits in mice and noted alterations in the DNA methylation patterns of specific genes linked to social behavior in mice exposed to alcohol (<xref ref-type="bibr" rid="B45">Laufer et al., 2013</xref>). Otherwise, previous reports have examined the impact of prenatal exposure to alcohol on the hippocampus and prefrontal cortex, structures involved in mood control. They observed a significant reduction in hippocampal volume in adults prenatally exposed to alcohol compared to controls, indicating structural alterations associated with prenatal alcohol exposure (<xref ref-type="bibr" rid="B20">Coles et al., 2011</xref>). Additionally, previous reports attempted to explore the molecular mechanisms involved in the development of depressive-like behaviors following prenatal alcohol exposure. Indeed (<xref ref-type="bibr" rid="B96">Yu et al., 2020</xref>), showed that prenatal exposure to ethanol in Wistar rats led to notable alterations within the hippocampus, including decreased levels of the neurotrophic factor BDNF, changes in mRNA expression of genes associated with glucocorticoid receptors and synaptic plasticity, as well as upregulation of genes related to apoptosis (<xref ref-type="bibr" rid="B96">Yu et al., 2020</xref>).</p>
</sec>
<sec sec-type="conclusion" id="s5">
<label>5</label>
<title>Conclusion</title>
<p>In summary, our study demonstrated that ethanol exposure during early life stages (pregnancy) can lead to the onset of anxiety- and depressive-like behaviors, as well as a severe deficiency in whole-body growth, including body weight and the skeleton size of different bones. While our study provided insightful evidence of the PAE outcomes on the adulthood stage, the exclusive use of male in our study may present certain limitation, however, it may raise the question on the disagree of females responsiveness similarity to males which needs further investigations. On the other hand, a possible interference between locomotor deficits and the anxious and depressive-like states and the limited number of tests used (2 per behavioral pattern), may represent further implicit and unavoidable limitation that should be taken into account when considering these findings.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The animal study was approved by Moroccan Ethics Committee for Animal Research (MECAR)/Cadi Ayyad University under the reference number (MoSEAR Ref: UCD-FS-06/2024, 10 February 2024). The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>KS: Formal Analysis, Writing &#x2013; original draft, Methodology, Software, Investigation, Data curation. BE-M: Software, Writing &#x2013; original draft, Data curation. MM: Funding acquisition, Writing &#x2013; original draft, Writing &#x2013; review and editing. CA: Software, Data curation, Writing &#x2013; review and editing. NZ: Data curation, Formal Analysis, Writing &#x2013; review and editing. MA: Writing &#x2013; review and editing, Resources, Visualization. MG: Data curation, Writing &#x2013; review and editing, Formal Analysis. NF: Funding acquisition, Writing &#x2013; review and editing, Data curation, Resources. AB: Writing &#x2013; review and editing, Funding acquisition, Resources, Data curation. MA: Funding acquisition, Writing &#x2013; review and editing, Investigation. DA: Writing &#x2013; review and editing, Resources. QO: Data curation, Writing &#x2013; review and editing. MA-S: Visualization, Validation, Writing &#x2013; review and editing. MM: Writing &#x2013; review and editing, Project administration, Methodology, Software, Conceptualization, Supervision. OE: Project administration, Resources, Conceptualization, Methodology, Supervision, Writing &#x2013; review and editing.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>The Authors extend their appreciation to the Ongoing Research Funding Program (ORF-2026-716), King Saud University, for funding this project.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<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>
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<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3294057/overview">Lucila Gotfryd</ext-link>, Fundacion IBYME, 738980, Argentina</p>
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<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/164739/overview">Leonardo Marengo</ext-link>, Neuro Games, Italy</p>
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