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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Vet. Sci.</journal-id>
<journal-title>Frontiers in Veterinary Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Vet. Sci.</abbrev-journal-title>
<issn pub-type="epub">2297-1769</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fvets.2021.772658</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Veterinary Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Collagen and Microvascularization in Placentas From Young and Older Mares</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Neto da Silva</surname> <given-names>Ana Catarina</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Costa</surname> <given-names>Ana Lu&#x000ED;sa</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1568882/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Teixeira</surname> <given-names>Ana</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1554101/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Alpoim-Moreira</surname> <given-names>Joana</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Fernandes</surname> <given-names>Carina</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Fradinho</surname> <given-names>Maria Jo&#x000E3;o</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1501740/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Rebord&#x000E3;o</surname> <given-names>Maria Rosa</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/969943/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Silva</surname> <given-names>Elisabete</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ferreira da Silva</surname> <given-names>Jos&#x000E9;</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1471628/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bliebernicht</surname> <given-names>Miguel</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Alexandre-Pires</surname> <given-names>Gra&#x000E7;a</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1084142/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ferreira-Dias</surname> <given-names>Gra&#x000E7;a</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/434201/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Faculdade de Medicina Veterin&#x000E1;ria, CIISA - Centro de Investiga&#x000E7;&#x000E3;o Interdisciplinar em Sanidade Animal, Universidade de Lisboa</institution>, <addr-line>Lisboa</addr-line>, <country>Portugal</country></aff>
<aff id="aff2"><sup>2</sup><institution>Embriovet</institution>, <addr-line>Muge</addr-line>, <country>Portugal</country></aff>
<aff id="aff3"><sup>3</sup><institution>Pole Reproduci&#x000F3;n Haras de La Gesse</institution>, <addr-line>Boulogne-sur-Gesse</addr-line>, <country>France</country></aff>
<aff id="aff4"><sup>4</sup><institution>Coimbra College of Agriculture, Polytechnic Institute of Coimbra</institution>, <addr-line>Coimbra</addr-line>, <country>Portugal</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Khalid El Allali, Agronomic and Veterinary Institute Hassan II, Morocco</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Fuller Bazer, Texas A&#x00026;M University, United States; Martin Eduardo Arga&#x000F1;araz, CCT CONICET Tucuman, Argentina; Hossam El-Sheikh Ali, Mansoura University, Egypt</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Gra&#x000E7;a Ferreira-Dias <email>gmlfdias&#x00040;fmv.ulisboa.pt</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Animal Reproduction - Theriogenology, a section of the journal Frontiers in Veterinary Science</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>01</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>772658</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>12</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Neto da Silva, Costa, Teixeira, Alpoim-Moreira, Fernandes, Fradinho, Rebord&#x000E3;o, Silva, Ferreira da Silva, Bliebernicht, Alexandre-Pires and Ferreira-Dias.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Neto da Silva, Costa, Teixeira, Alpoim-Moreira, Fernandes, Fradinho, Rebord&#x000E3;o, Silva, Ferreira da Silva, Bliebernicht, Alexandre-Pires and Ferreira-Dias</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract><p>In older mares, increasing collagen fibers (fibrosis) in the endometrium and oviduct predisposes to sub-fertility and infertility. In this study, (i) gene transcription of collagen (qPCR: <italic>COL1A1, COL1A2, COL3A1, COL5A1</italic>); (ii) total collagen protein (hydroxyproline); (iii) collagen distribution (Picrosirius red staining; polarized light microscopy); and (iv) microvascular density (Periodic acid-Schiff staining), were evaluated in mares&#x00027; placenta, and related to mares age, and placenta and neonate weights. Samples were collected from the gravid horn, non-gravid horn, and body of the placenta from younger (<italic>n</italic> = 7), and older mares (<italic>n</italic> = 9) of different breeds. Transcripts of <italic>COL1A1, COL3A1</italic> and <italic>COL5A1</italic>, total collagen protein, chorionic plate connective tissue thickness, and microvascularization increased in the gravid horn of older mares&#x00027; placentas, compared to the youngest (<italic>P</italic> &#x0003C; 0.05). Although in other species placenta fibrosis may indicate placental insufficiency and reduced neonate weight, this was not observed here. It appears that older fertile mares, with more parities, may develop a heavier, more vascularized functional placenta with more collagen, throughout a longer gestation, which enables the delivery of heavier foals. Thus, these features might represent morphological and physiological adaptations of older fertile mares&#x00027; placentas to provide the appropriate nutrition to the equine fetus.</p></abstract>
<kwd-group>
<kwd>collagen</kwd>
<kwd>fibrosis</kwd>
<kwd>placenta</kwd>
<kwd>age</kwd>
<kwd>mare</kwd>
<kwd>foal</kwd>
<kwd>microvascularization</kwd>
<kwd>gestation</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="56"/>
<page-count count="12"/>
<word-count count="7719"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>The placenta is an overly complex organ of vital importance in equine pregnancy. Mare&#x00027;s placenta as epitheliocorial type, enables the direct contact of the endometrial epithelium with the chorionic surface, through six layers of tissue separating the maternal circulation from the fetal circulation, throughout the entire pregnancy (<xref ref-type="bibr" rid="B1">1</xref>&#x02013;<xref ref-type="bibr" rid="B3">3</xref>). This organ allows the fetus to be nourished through metabolic exchange of nutrients, oxygen supply and elimination of debris, providing protection against internal and external aggressions (<xref ref-type="bibr" rid="B4">4</xref>). As a microcotyledonary and diffuse placenta, it also presents a uniform distribution of chorionic villi on the maternal surface, which attach to the maternal epithelium forming well distinguished microcotyledons (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>In equine clinical practice, the meticulous exam of the placenta, mainly by gross anatomy inspection, is a routine procedure (<xref ref-type="bibr" rid="B5">5</xref>). In the mare, placenta alterations can be a sign of malfunction. Despite the proposed diagnostic blood markers, the value of an experiencing clinician examining the mare is essential (<xref ref-type="bibr" rid="B6">6</xref>). It is well known that intrauterine fetal nutrition influences both foal&#x00027;s health (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>), and its athletic performance (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Nevertheless, regardless of the animal species, the macroscopic examination of the placenta does not reveal microscopic lesions that are only detected by histological examination or electron microscopy observation, and that might be related to fetal death, neonate low body weight or sickness (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Aging of the mares has been related to increased fibrosis in the endometrium (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>), and oviduct (<xref ref-type="bibr" rid="B17">17</xref>), and several pathological alterations in the placenta (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B18">18</xref>). In fact, during mare gestation, besides morphological alterations, and degenerative changes in the microplacentomes on the surface of the mare placenta, also the development of fetal and maternal capillary beds within each microplacentome is diminished, disturbing physical and hematological contact at the fetomaternal interface, and hence impairing fetal growth (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B18">18</xref>). In other species, vascularization of the placenta is also extremely important, as in the sow (<xref ref-type="bibr" rid="B11">11</xref>), bitch (<xref ref-type="bibr" rid="B14">14</xref>) and in woman (<xref ref-type="bibr" rid="B19">19</xref>). In fact, in humans, reduced vasculature of the placenta is frequently related with intrauterine fetal growth restriction (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>The fibrotic tissue is characterized by the excessive deposition of extracellular matrix components, such as collagen, fibronectin and hyaluronic acid, due to the activation, proliferation and accumulation of fibroblasts and myofibroblasts (<xref ref-type="bibr" rid="B20">20</xref>). In this manner, fibrotic tissue can deregulate the normal functioning and architecture of an organ (<xref ref-type="bibr" rid="B21">21</xref>). Fibrosis develops from a chronic inflammatory process, in which both the mechanisms of innate and acquired immunity play an important role (<xref ref-type="bibr" rid="B22">22</xref>), and where inflammation and tissue remodeling occur simultaneously (<xref ref-type="bibr" rid="B23">23</xref>). Fibroblasts, once activated, differentiate into myofibroblasts which initiate the deposition of connective tissue components, remodeling and progressively destroy the tissue architecture (<xref ref-type="bibr" rid="B24">24</xref>). Even though the collagen existing in human placenta is related to the normal development of the placenta, it has also been associated to metabolic complications of placental function (<xref ref-type="bibr" rid="B25">25</xref>). Collagen types I, III, IV, and V are actively involved in the formation of the fibrotic process of human placenta&#x00027;s chorionic villi (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>A body of evidence shows that in a number of species, deficiencies in placental structure and function can be reflected in impaired fetal development and growth with the decrease in neonates birth weight (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Therefore, we have put forward the hypothesis that as mares age, fibrosis increases in the placenta, and microvascularization decreases, leading to a reduction in foal weight. Thus, the objective of this study was to evaluate in three portions (gravid horn, non-gravid horn and body) of mares&#x00027; placenta (i) gene transcription of collagen (<italic>COL1A1, COL1A2, COL3A1, COL5A1</italic>); (ii) total collagen protein (hydroxyproline); (iii) collagen distribution in histological sections; and (iv) microvascular density, and relate them to mares age, and placenta and neonate birth weights.</p></sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Mare&#x00027;s Identification</title>
<p>Sixteen pregnant mares of different breeds (Lusitano, French Trotter, Anglo-Arabian, Hanoverian and KWPN) from the same stud-farm were randomly selected and grouped into two categories, according to their age. The youngest mares, with ages between 5 and 9 years old, were allocated to the &#x0201C;Young mares&#x0201D; group (<italic>n</italic> = 7; 6.4 &#x000B1; 0.6 years, mean&#x000B1; SEM), while the oldest mares, aged 10&#x02013;15 years old, were included in the &#x0201C;Older mares&#x0201D; group (<italic>n</italic> = 9; 12.2 &#x000B1; 0.5 years). They foaled between April and May.</p>
<p>The mares were kept on pasture and diets were adjusted according to different needs. All the mares were routinely dewormed and vaccinated according to stud-farm protocol. In the last month of gestation mares were individually stabled overnight, for supervision of the deliveries. At foaling, the placentas of those mares were immediately collected after expulsion, weighed, and used for sampling. New-born foals were weighed within 24 h after delivery.</p></sec>
<sec>
<title>Sample Collection</title>
<p>Different regions of the placenta were identified as gravid-horn (A), non-gravid horn (B) and placental body (C) (<xref ref-type="fig" rid="F1">Figure 1</xref>). From each of these areas, tissue samples of approximately 5 mm3 were collected, as follows: (i) each one of two pieces was immersed in 1 mL of RNA Later&#x000AE; (AM7020, Ambion, Applied Biosystems, Waltham, Massachusetts, USA) for real-time PCR (qPCR) studies, and for determination of total collagen by immunoassay; and the other two samples were placed in 4% buffered formaldehyde for histological analysis (microvascularization assessment and collagen fibers distribution). Placenta samples in RNA Later&#x000AE; were kept at 4&#x000B0;C for 24 h and then stored at &#x02212;80&#x000B0;C until laboratory tests were carried out.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Diagrammatical representation of the placenta sites for sample collection <bold>(A)</bold>. Photo of the allantoic surface of a mare&#x00027;s placenta after delivery <bold>(B)</bold>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-08-772658-g0001.tif"/>
</fig></sec>
<sec>
<title>Quantitative Real-Time Polymerase Chain Reaction</title>
<p>Determination of the gene transcription of collagen genes, such as type I (<italic>COL1A1, COL1A2</italic>), type III (<italic>COL3A1)</italic> and V <italic>(COL5A1</italic>) was performed by real-time PCR (qPCR) in the gravid horn, non-gravid horn, and body of the placenta obtained from younger mares (<italic>n</italic> = 7); and older mares (<italic>n</italic> = 9). Specific primers were designed, as well as the reference gene, using the Internet based program Primer-3 and Primer Premier software (Premier Biosoft Interpairs, Palo Alto, CA, USA). The primers used are listed in <xref ref-type="table" rid="T1">Table 1</xref>. Extraction of RNA from placenta samples was accomplished with the alcohol method. Briefly, placental tissues (50mg) were macerated with a scalpel blade. Then, 500 &#x003BC;L (10 times the sample weight, in mg) of TRI&#x000AE; reagent (T9424; Sigma Life Science, Burlington, MA, United States) were added, and sample disruption was performed with the TissueLyser II (Qiagen, Hilden, Germany) for five cycles of 30 s each, at 25 Hz, and centrifuged at 12,000 g for 10 min at 4&#x000B0;C. For RNA separation, 100 &#x003BC;L (0.2 of the supernatant volume) of chloroform (C2432-1L &#x02013; Sigma-Aldrich, Saint Louis, Missouri, USA) were added to the collected supernatant. The solution was mixed, incubated on ice for 5 min, and then centrifuged at 12,000 g for 20 min at 4&#x000B0;C. The supernatant was collected. Afterwards, 250 &#x003BC;L of isopropanol (Isopropyl Alcohol - 0918 &#x02013; 500 ML - Biotechnology- VWR Life Science; Radnor, Pennsylvania, USA), were added to 500 &#x003BC;L of the supernatant, incubated for 10 min, and centrifuged at 12,000 g for 20 min at 4&#x000B0;C, to precipitate the RNA. The recovered pellet was washed with 75% ethanol (K43342083215, Index -No: 603-002-00-5, Merck KGaA, Darmstadt, Germany; volume equal to the supernatant volume), centrifuged at 7,500 g for 5 min, at 4&#x000B0;C, and air-dried at room temperature for 30 min. RNA was dissolved into 20&#x02013;30 &#x003BC;L DEPC-treated water (AM9915G; Thermo Fisher Scientific, Waltham, Massachusetts, USA), and stored at &#x02212;80&#x000B0;C. RNA concentration and quality were evaluated using Nanodrop&#x000AE; (ND200C; Thermo Fisher Scientific, Waltham, Massachusetts, USA), and by visualization of rRNA bands after electrophoresis in a 1.5% agarose gel and red staining (41003; Biotium, Hayward, CA, USA). The extracted RNA was used for cDNA synthesis, through reverse transcription. The latter was performed using M-MLV Reverse Transcriptase (M170B, Promega&#x000AE;, Madison, Wisconsin, USA) from 1 &#x003BC;g total RNA in a 20 &#x003BC;L reaction volume using oligonucleotides (C1101, Promega&#x000AE;, Madison, Wisconsin, USA) and an RNase inhibitor.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Primer sequences used in real time PCR analysis of mare.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Gene (access number)</bold></th>
<th valign="top" align="left"><bold>Sequence 5<sup><bold>&#x02032;</bold></sup> &#x02013; 3</bold></th>
<th valign="top" align="center"><bold>Amplicon base pairs</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>COL1A1</italic> (100033877)</td>
<td valign="top" align="left">Forward: TATGGAAACCCGAGCCCTG<break/> Reverse: ACTCCTGTGGTTTGGTCGTCTG</td>
<td valign="top" align="center">175</td>
</tr>
<tr>
<td valign="top" align="left"><italic>COL1A2</italic> (XM_001492939.3)</td>
<td valign="top" align="left">Forward: CAAGGGCATTAGGGGACACA<break/> Reverse: ACCCACACTTCCATCGCTTC</td>
<td valign="top" align="center">196</td>
</tr>
<tr>
<td valign="top" align="left"><italic>COL3A1</italic> (AF117954.1)</td>
<td valign="top" align="left">Forward: CAAAGGAGAGCCAGGAGCAC<break/> Reverse: CTCCAGGCGAACCATCTTTG</td>
<td valign="top" align="center">98</td>
</tr>
<tr>
<td valign="top" align="left"><italic>COL5A1</italic> (100069057)</td>
<td valign="top" align="left">Forward: CGCTCTCCCGTCTTCCTCT<break/> Reverse: TGCCGAACACGATGATGC</td>
<td valign="top" align="center">228</td>
</tr>
<tr>
<td valign="top" align="left"><italic>GAPDH</italic> (NM_001163856.1)</td>
<td valign="top" align="left">Forward: CACCCACTCTTCCACCTTCG<break/> Reverse: CTTGCTGGGTGATTGGTGGT</td>
<td valign="top" align="center">173</td>
</tr>
<tr>
<td valign="top" align="left"><italic>RPL32</italic> (XM_001492042.6)</td>
<td valign="top" align="left">Forward: AGCCATCTACTCGGCGTCA<break/> Reverse: GTCAATGCCTCTGGGTTTCC</td>
<td valign="top" align="center">144</td>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x003B2;2M</italic> (X69083)</td>
<td valign="top" align="left">Forward: CGGGCTACTCTCCCTGACTG<break/> Reverse: TTGGCTTTCCATTCTCTGCTG</td>
<td valign="top" align="center">92</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>COL1A1, collagen, type I, alpha 1; COL1A2, collagen, type I, alpha 2; COL3A1, collagen, type III, alpha 1; COL5A1, collagen, type V, alpha 1; GAPDH, glyceraldehyde 3-phosphate; RPL32, ribosomal protein L32; &#x003B2;2M, beta-2-microglobulin</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>The obtained cDNA was combined with Power SYBER Green PCR Master Mix (Ref. 4368706; Applied Biosystems, Waltham, Massachusetts, USA) and with the target or reference genes, and qPCR assays of both were performed simultaneously in a StepOne-Plus TM Real-Time PCR System (Applied Biosystems, Waltham, Massachusetts, USA), using the universal temperature cycles previously described (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>Before running the assay, primers concentration was optimized (80 nM for target and reference genes), and the reference gene was validated. To determine the most stable internal control gene, four potential reference genes were initially considered, as follows: glyceraldehyde 3-phosphate dehydrogenase (<italic>GAPDH</italic>), succinate dehydrogenase A complex, subunit A, flavoprotein (<italic>SDHA</italic>), beta-2-microglobulin (&#x003B2;<italic>2M</italic>) and ribosomal protein L32 (<italic>RPL32</italic>). <italic>GAPDH</italic> was the most stable internal control gene (<xref ref-type="bibr" rid="B29">29</xref>), and therefore considered our reference gene.</p>
<p>Confirmation of the specificity of the PCR products was obtained by running a 2.5% agarose gel (BIO-41025; Bioline, Luckenwalde, Germany) and by the analysis of the melting curve. Quantitative analysis of mRNA was determine by real-time PCR Miner algorithm (<xref ref-type="bibr" rid="B30">30</xref>), as previously described (<xref ref-type="bibr" rid="B31">31</xref>). Levels of mRNA of the target genes were normalized against those of the reference gene.</p></sec>
<sec>
<title>Determination of Total Collagen Concentration</title>
<p>As the transcription of genes does not always correspond to the amount of protein synthesized (<xref ref-type="bibr" rid="B32">32</xref>), there was the need to quantify the total collagen present in the placenta samples. Since hydroxyproline is a major component of collagen that stabilizes its helical structure, determination of hydroxyproline concentration can be used as an indicator of collagen presence (<xref ref-type="bibr" rid="B33">33</xref>). Thus, total hydroxyproline concentration in the various portions of all the equine placentas was assessed by using an enzyme immunoassay method (Ref. ABIN593448; Hydroxyproline colorimetric assay kit, Antibodies-online GmbH, Aachen, Germany). A colorimetric product proportional to the hydroxyproline present in the sample was obtained and subsequently read on a spectrophotometer at the wavelength of 560 nm, according to the manufacturer&#x00027;s instructions. Results were expressed as micrograms of hydroxyproline per milligram of placenta.</p></sec>
<sec>
<title>Qualitative Histological Evaluation of Collagen</title>
<p>Placenta samples preserved in 4% formaldehyde were dehydrated in increasing concentrations of ethanol (70, 80, 95, and 100%), and in xylol, and then processed to obtain paraffin blocks. Histological sections (4 &#x003BC;m thick) of each chosen site of the placenta (gravid horn, non-gravid horn, body) were stained with Picrosirius Red (PSR). The evaluation of the PSR stained samples was performed using a camera (TIS 2MP RGB) coupled to a vertical wide-field microscope (Olympus BX51, Olympus Corporation, Tokyo, Japan) in a 100x magnification, under a polarized light beam. From each slide stained with PSR, 10 images of each portion (A, B, and C) observed in a dark field were randomly obtained. In addition, to identify the structures photographed, duplicates of those photographs taken under polarized light were also taken in bright field. Since PSR stain is particularly useful to depict the organization and/or collagen fiber orientation in various connective tissues under normal or pathological conditions (<xref ref-type="bibr" rid="B34">34</xref>), this method was used to assess collagen in mare&#x00027;s placenta.</p></sec>
<sec>
<title>Measurement of the Chorionic Plate Connective Tissue Thickness</title>
<p>The thickness of the chorionic plate connective tissue in the gravid horn of mares&#x00027; placentas was evaluated on 4 &#x003BC;m histological sections, stained with hematoxylin-eosin (05-06014E; Bio-Optica; eosin HT1103128; Sigma-Aldrich, Saint Louis, Missouri, USA), observed under a light microscope (Leica DM500), and photographed at 100x magnification. Two photographs of the chorionic plate of the gravid horns of each placenta were randomly selected. Later, 10 measurements were made from each photograph using the program <italic>ImageJ</italic> (National Institute of Health, USA), which is an open source software for processing and analyzing scientific images. Once the 20 measurements from each placenta were gathered, they were subjected to statistical analysis.</p></sec>
<sec>
<title>Microvascular Density</title>
<p>From each portion of the placenta (gravid horn, non-gravid horn, and body) preserved in paraffin blocks, 4 &#x003BC;-thick histological tissue sections were retrieved, and stained with Periodic Acid Shiff reagent (PAS; VWR Chemicals, ref. 20593.151, Leuven, Belgium). This stain has been largely used as a marker of endothelial cells, since it strongly reacts with carbohydrates present in the microvascular basement membrane (<xref ref-type="bibr" rid="B35">35</xref>). In this study, blood vessel walls were considered equally regardless of their nature (arterioles, venules, or capillaries) (<xref ref-type="bibr" rid="B28">28</xref>). The histological slides were observed under light microscopy and photographed at a total magnification of 100x, for further imageJ program analysis. Number of vessels and microvascular areas were determined on 10 randomly chosen microscope fields of each portion of the placentas. The percentage of the area occupied by blood vessels, with respect to the entire area of the micrograph, was considered as the vascular area and calculated for all 10 microscopic fields, from each portion of each placenta. On the same micrograph areas, the number of vessels present were also counted. Mean values of total vascular area and total blood vessel number for each placenta region were further considered for statistical analysis (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B36">36</xref>).</p></sec>
<sec>
<title>Statistical Analysis</title>
<p>Statistical analysis was performed using the <italic>GraphPad Prism</italic> (version 8.4.3), <italic>Statistica 7</italic> and <italic>SAS</italic> (SAS 9.4 Institute Inc., Cary, NC, USA) programs. On a first approach and after checking the normal distribution of the variables with Shapiro-Wilk test, <italic>COL1A1, COL1A2, COL3A1</italic> and <italic>COL5A1</italic> mRNA transcription, hydroxyproline quantification and chorionic plate thickness were analyzed by one-way ANOVA, followed by Fisher&#x00027;s Least Significance Difference (LSD) test. To evaluate the relationship between newborn foal&#x00027;s weight and placenta&#x00027;s weight or mare&#x00027;s age, Pearson&#x00027;s correlation coefficients were calculated, followed by linear regression analysis. In order to evaluate the effects of age (young <italic>vs</italic>. older mare groups), location of placental sampling (A, B, and C) and their interaction on variables, a mixed model was used (MIXED procedure of SAS). The gestation length and parity were used in this analysis as covariate, and the sex of the foal was also tested. When significant differences were detected, the differences among means were evaluated using the Tukey-Kramer test. The level of significance was defined as <italic>p</italic> &#x0003C; 0.05. Data are shown as mean &#x000B1; SEM.</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Animals&#x00027; Data</title>
<p>The length of the pregnancies that resulted in the foalings from which placentas were retrieved was from 324 days (minimum) up to 352 days (337.2 &#x000B1; 2.3 days). Placenta weights varied between 3 and 7.5 kg (5.5 &#x000B1; 0.3 kg), and it increased with mares aging (<italic>p</italic> &#x0003C; 0.001). The weight of the foal at 24 h after foaling ranged from 35 to 59.5 kg (50.8 &#x000B1; 1.8 kg). Heavier foals were born from older mares (<italic>p</italic> &#x0003C; 0.0001), that also had more parities (<italic>p</italic> &#x0003C; 0.0001), and longer gestations (<italic>p</italic> &#x0003C; 0.01). When considering the mares, according to their age group, data are presented in <xref ref-type="table" rid="T2">Table 2</xref>. There was a positive correlation between the weight of the placenta and the weight of the foal (r = 0.728; <italic>p</italic> = 0.001; <xref ref-type="fig" rid="F2">Figure 2A</xref>); between the age of the mare and the weight of the placenta (r = 0.760; <italic>p</italic> = 0.0006; <xref ref-type="fig" rid="F2">Figure 2B</xref>); and the age of the mare and the weight of the foal (r = 0.659; <italic>p</italic> = 0.005; <xref ref-type="fig" rid="F2">Figure 2C</xref>). Evaluation of the ratio placenta weight/foal weight showed a higher ratio in older mares when compared to the younger mares (0.114 &#x000B1; 0.003 vs. 0.099 &#x000B1; 0.003; <italic>p</italic> &#x0003C; 0.001).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Age, parity, gestation length, placenta weight (kg), and foal weight (kg) at 24 h post-foaling, in the two groups of mares (mean &#x000B1; SEM).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="left"><bold>Age (years)</bold></th>
<th valign="top" align="center"><bold>Parity (&#x00023;)</bold></th>
<th valign="top" align="center"><bold>Gestation (days)</bold></th>
<th valign="top" align="center"><bold>Placenta weight (kg)</bold></th>
<th valign="top" align="center"><bold>Foal weight (kg)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Young mares</td>
<td valign="top" align="center">6.4 &#x000B1; 0.6</td>
<td valign="top" align="center">1.7 &#x000B1; 0.2<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">333.4 &#x000B1; 1.8<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">4.5 &#x000B1; 0.17<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">45.6 &#x000B1; 1.2<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Older mares</td>
<td valign="top" align="center">12.2 &#x000B1; 0.5</td>
<td valign="top" align="center">4.4 &#x000B1; 0.2<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">340.1 &#x000B1; 1.6<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">6.2 &#x000B1; 0.15<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">54.7 &#x000B1; 1.0<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Asterisks indicate significant differences between parity, gestation length and placenta weight in young and older mares, as well as between the weight of their foals (</italic></p>
<fn id="TN1"><label>&#x0002A;&#x0002A;</label><p><italic>p &#x0003C;0.01</italic>;</p></fn>
<fn id="TN2"><label>&#x0002A;&#x0002A;&#x0002A;</label><p><italic>p &#x0003C;0.0001)</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Relationship between the <bold>(A)</bold> weight of the placenta (kg) and foal weight at 24h (kg) (<italic>p</italic> = 0.0014); <bold>(B)</bold> mares age (years) and placenta weight (<italic>p</italic> = 0.0006); and <bold>(C)</bold> mares age and the weight of the foal (kg) (<italic>p</italic> = 0.0054). Pearson correlation (r). Linear regression (R<sup>2</sup>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-08-772658-g0002.tif"/>
</fig></sec>
<sec>
<title>Quantitative Real-Time Polymerase Chain Reaction</title>
<p>In older mares&#x00027; placenta, when comparison was made with the same placenta regions of younger mares, <italic>COL1A1</italic> mRNA transcript levels were higher in the gravid horn (portion A) (<italic>p</italic> = 0.01), and between the non-gravid horn (portion B), or between the placenta body (portion C) (<italic>p</italic> &#x0003C; 0.05). In addition, <italic>COL1A1</italic> transcription in the gravid horn of older mares was also increased, when compared with the non-gravid horn and body of the same placentas (<italic>p</italic> &#x0003C; 0.05; <xref ref-type="fig" rid="F3">Figure 3A</xref>). When gestation length and parity were used as covariates, no significant effects were observed.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Transcript levels of <italic>COL1A1</italic> <bold>(A)</bold>, <italic>COL3A1</italic> <bold>(B)</bold> and <italic>COL5A1</italic> <bold>(C)</bold> and levels of hydroxyproline <bold>(D)</bold> in the gravid horn <bold>(A)</bold>, non-gravid horn <bold>(B)</bold> and body <bold>(C)</bold> of placentas from young and older mares. Bars represent the mean &#x000B1; SEM. Asterisks indicate significant differences between the placental portions (&#x0002A;<italic>p</italic> &#x0003C; 0.05; &#x0002A;&#x0002A;<italic>p</italic> &#x0003C; 0.01). Data were analyzed by one-way ANOVA, followed by Fisher&#x00027;s LSD test.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-08-772658-g0003.tif"/>
</fig>
<p>Although, no differences were found in <italic>COL1A2</italic> mRNA levels for direct comparisons between the placenta portions of young and older mares, a significant effect of age was observed, with higher levels of <italic>COL1A2</italic> transcripts in older mares (<italic>p</italic> &#x0003C; 0.05). When we used the gestation length and parity as covariates no significant effects were observed.</p>
<p>Regarding <italic>COL3A1</italic> mRNA levels, which were similar to <italic>COL1A1</italic>, increased in the gravid horn of the placentas of older mares, when compared to the same portion in younger mares (<italic>p</italic> &#x0003C; 0.05). Besides, the gravid horn of placentas of older mares had the highest <italic>COL3A1</italic> transcript level, compared to portions B and C of the same placenta (<italic>p</italic> &#x0003C; 0.05; <xref ref-type="fig" rid="F3">Figure 3B</xref>). When gestation length was used as a covariate there was a significant effect of age, with older mares showing higher levels of <italic>COL3A1</italic> mRNA in their placentas than younger mares (<italic>p</italic> &#x0003C; 0.01).</p>
<p>In addition, when the <italic>COL5A1</italic> transcripts levels were assessed in the different portions of the placenta, an increase in mRNA levels was observed in the gravid horn of older mares, compared to any portion of the placenta from younger mares, (<italic>p</italic> &#x0003C; 0.05; <xref ref-type="fig" rid="F3">Figure 3C</xref>). There was a significant effect of age (Young mares <italic>vs</italic>. Older mares) over this parameter (<italic>p</italic> &#x0003C; 0.05). Also, for this parameter, no significant effects were observed when the length of gestation and parity were used as covariates.</p>
<p>Foal sex had no effects on <italic>COL1A1, COL1A2, COL3A1</italic> or <italic>COL5A1</italic> transcript levels.</p></sec>
<sec>
<title>Hydroxyproline Concentration</title>
<p>In agreement with the increase in <italic>COL1A1, COL3A1</italic> and <italic>COL5A1</italic> transcripts obtained by qPCR, there was a raise in the hydroxyproline amino acid in the pregnant horn of older mares, relatively to the non-gravid horn (<italic>p</italic> &#x0003C; 0.05), and to the placental body (<italic>p</italic> &#x0003C; 0.01) of the same placentas and to all studied placental portions of the youngest mares (<italic>p</italic> &#x0003C; 0.05; <xref ref-type="fig" rid="F3">Figure 3D</xref>). In addition, hydroxyproline levels in the placenta were not influenced by gestation length or sex of the foal.</p></sec>
<sec>
<title>Qualitative Histological Assessment of Collagen in Mare&#x00027;s Placenta</title>
<p>The histological observation of mare&#x00027;s placenta, under a bright field and under a polarized light beam showed the presence of collagen mostly in the chrorionic plate and allantoic connective tissue. The qualitative assessment suggests that a greater abundance of fibers might be present in the connective tissue of the chorionic plate of the gravid horn in all mares (<xref ref-type="fig" rid="F4">Figures 4A,B</xref>). As for the allantoic connective tissue, collagen fibers seem to also predominate in large amounts (<xref ref-type="fig" rid="F4">Figures 4A,B</xref>). Whenever the exocelomic space was present, collagen fibers surrounded it, within the inner thin layer of connective tissue adherent to the epithelium of the allantoic surface, more internally (<xref ref-type="fig" rid="F4">Figures 4C,D</xref>), and in the allantoic connective tissue associated to the chorionic plate, externally (<xref ref-type="fig" rid="F4">Figures 4C,D</xref>). Very few collagen fibers were present in the connective tissue of the axis of villi, even though in the gravid horn they appeared to be more abundant (<xref ref-type="fig" rid="F4">Figures 4E,F</xref>). The qualitative histological observation of mares&#x00027; placentas suggested more collagen was present in the gravid horn, with respect to the non-gravid horn and placenta body, regardless of mares age.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Histological sections of the equine placenta pregnant horn stained with Picrosirius Red and visualized in bright field <bold>(A,C,E)</bold> and under polarized light <bold>(B,D,F)</bold>. Red and green colors reflect the orientation of the collagen bundles. <bold>(A,B)</bold> Chorionic plate connective tissue (a), and allantoic membrane connective tissue (b). White arrows indicate blood vessels. <bold>(C,D)</bold> Connective tissue adherent to the allantoic epithelium (a), and in the external part of the chorionic membrane (b), next to the extracelomic space (c). <bold>(E,F)</bold> collagen fibers in the connective tissue of villi (white arrow). <bold>(G,H)</bold> Chorionic plate connective tissue in the pregnant horn, of a placenta from a young mare (white arrow). <bold>(I,J)</bold> Chorionic plate connective tissue in the pregnant horn, of a placenta from an older mare (white arrow).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-08-772658-g0004.tif"/>
</fig></sec>
<sec>
<title>Chorionic Plate Connective Tissue Thickness</title>
<p>The qualitative observation of collagen fibers stained by PSR in mares&#x00027; placentas did not reveal any evident change between young and older mares&#x00027; placentas that could explain the observed increase in <italic>COL1A1</italic> and <italic>COL3A1</italic> mRNA, evidenced by qPCR, and by hydroxyproline in the gravid horn of older mares. Thus, there was the need to measure the thickness of the connective tissue of the chorionic plate in the gravid horn of all placentas. Our results indicate a significant increase in thickness of the connective tissue of the chorionic plate in the gravid horn of older mares (449.1 &#x000B1; 42.1 &#x003BC;m), when compared to the same structure in the placentas of the youngest mares (401 &#x000B1; 47.7 &#x003BC;m; <italic>p</italic> &#x0003C; 0.05), as can be visually depicted in <xref ref-type="fig" rid="F4">Figures 4G&#x02013;J</xref>.</p>
<p>In addition, gestation length was positively correlated with the chorionic plate thickness (r = 0.525; <italic>p</italic> &#x0003C; 0.05) meaning that longer gestations increased the chorionic plate thickness. Mares that foaled a male foal tended to have a thicker chorionic plate (<italic>p</italic> = 0.08).</p></sec>
<sec>
<title>Quantitative Assessment of Microvascular Density</title>
<p>Blood vessel walls were stained by periodic-Acid shift, as shown in <xref ref-type="fig" rid="F5">Figure 5A</xref>. The microvascular area in the gravid horn of the placenta was larger in older mares than in younger mares (<italic>p</italic> &#x0003C; 0.05; <xref ref-type="fig" rid="F5">Figure 5B</xref>). In addition, in older mares, the vascular area of the gravid horn was increased with respect to the non-gravid horn (<italic>p</italic> &#x0003C; 0.01), and placenta body (<italic>p</italic> &#x0003C; 0.05; <xref ref-type="fig" rid="F5">Figure 5B</xref>). Nevertheless, the vascular area in young mares&#x00027; placenta was identical in all the evaluated portions of this organ (<xref ref-type="fig" rid="F5">Figure 5B</xref>). Besides the observed increase in the vascular area in the gravid horn of older mares&#x00027; placentas, the number of vessels per microscopic field was also higher in that region, when compared to the other portions of the placenta (<italic>p</italic> &#x0003C; 0.001; <xref ref-type="fig" rid="F5">Figure 5C</xref>). Older mares&#x00027; placentas presented larger vascular areas than younger mares&#x00027; placentas (<italic>p</italic> &#x0003C; 0.05). Gestation length and sex of the foal had no influence on vascular area. However, there was an effect of parity in the vascular area of the gravid horn (<italic>p</italic> &#x0003C; 0.05) with mares that had a higher number of parturitions presenting an increased vascular area.</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Blood vessel walls stained by PAS (some marked with arrows), in mare placenta <bold>(A)</bold>. In <bold>(A)</bold>, bar = 100 &#x003BC;m. In the left half of the image, the chorion is depicted, with the chorionic plate enclosing vessels, and the trophoblast (simple cuboidal epithelium whose cells possess a basophilic cytoplasm) lines the chorionic plate. In the right half, the chorionic villi can be seen, externally covered by trophoblasts and with the axis composed by connective tissue. In larger diameter villi, fine vessels are observed. Vascular area per &#x003BC;m<sup>2</sup> <bold>(B)</bold> and vessel number per field <bold>(C)</bold> are shown in the different portions of the placenta in the pregnant horn <bold>(A)</bold>, non-pregnant horn <bold>(B)</bold> and body <bold>(C)</bold> of placentas from young and older mares. In <bold>(B)</bold> and <bold>(C)</bold>, bars represent the mean &#x000B1; SEM. Data were analyzed by one-way ANOVA, followed by Fisher&#x00027;s LSD test. Asterisks indicate significant differences between the placental portions (&#x0002A;<italic>p</italic> &#x0003C; 0.05; &#x0002A;&#x0002A;<italic>p</italic> &#x0003C; 0.01; &#x0002A;&#x0002A;&#x0002A;<italic>p</italic> &#x0003C; 0.001).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-08-772658-g0005.tif"/>
</fig>
<p>In younger mares there was an increase in vessel count in the pregnant horn, when compared to the non-pregnant horn (<italic>p</italic> &#x0003C; 0.001; <xref ref-type="fig" rid="F5">Figure 5C</xref>). Gestation length and sex of the foal had no influence on vessel count. But, similarly with the results obtained for vascular area, parity had an effect on the number of blood vessels of the gravid horn (<italic>p</italic> &#x0003C; 0.0001), regardless of the age of the mare.</p></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Earlier studies have mainly dealt with mare placenta histology and cell proliferation patterns during development (<xref ref-type="bibr" rid="B37">37</xref>&#x02013;<xref ref-type="bibr" rid="B39">39</xref>). Even though structural and hemovascular aspects of placental growth throughout gestation in young and aged mares have been described (<xref ref-type="bibr" rid="B13">13</xref>), collagen content at the histological and molecular levels has not been assessed. Thus, to the best of our knowledge, this is the first study quantifying collagen fibers and microvascularization in the equine placenta, relating them to the different portions of the placenta, mare&#x00027;s age, placenta, and foals&#x00027; s weight.</p>
<p>In the present study, heavier foals at birth were born from older mares, with more parities, that also delivered heavier placentas, and had longer gestation lengths. There was a positive correlation between foal&#x00027;s weight and placenta&#x00027;s weight, as well as between foal&#x00027;s weight and mare&#x00027;s age. The positive correlation between the total weight of fetal membranes and the weight of the foal at birth observed in the present work, has been shown before for Thoroughbreds (<xref ref-type="bibr" rid="B40">40</xref>), and Lusitano mares (<xref ref-type="bibr" rid="B41">41</xref>). In fact, in Thoroughbreds, for each kg of increase in placental weight, there was a raise of 4.5 kg in foal&#x00027;s weight (<xref ref-type="bibr" rid="B40">40</xref>). In the mare, the weight of the placenta progressively increases with parity, maternal size, and directly affects the placenta transport surface area and function, as well as fetal endocrine glands that mediate fetal development toward term (<xref ref-type="bibr" rid="B42">42</xref>&#x02013;<xref ref-type="bibr" rid="B45">45</xref>). In addition, equine placental weight increases in the months of April and May deliveries, in comparison to earlier foalings in the year (<xref ref-type="bibr" rid="B46">46</xref>). Since all deliveries of the mares in the present study occurred in April and May, changes in placenta weights may be related to mares age, parities, gestation length or foals&#x00027; weight, but not to any seasonal effect.</p>
<p>The transcript levels of mRNA showed an increase in <italic>COL1A1, COL3A1</italic> and <italic>COL5A1</italic> in the pregnant horn of older mares&#x00027; placenta. This raise in collagen transcription was confirmed by hydroxyproline content (total collagen) in the placenta tissues. In fact, post-transcriptional, post-translational and degradation regulation contribute to the concentration of proteins in the tissue (<xref ref-type="bibr" rid="B32">32</xref>). In human placenta, collagen changes its composition during placenta development and aging, as pregnancy progresses, for providing nutrients to the fetus and maintaining pregnancy (<xref ref-type="bibr" rid="B47">47</xref>).</p>
<p>The histological observation of collagen in equine placenta sections stained with PSR and observed under polarized light enabled the visualization of those fibers in the different structures. In the connective tissue, type I collagen fibers are densely grouped in bundles, playing a structural role, and promoting the connection between structures. The reticular fibers, formed predominantly by type III collagen, are finely distributed in the form of a network, playing a supporting role (<xref ref-type="bibr" rid="B33">33</xref>). In picrosirius red stained mare endometrium observed under a polarized light beam, fibers stained in red were identified as COL1, while fibers stained in green were considered to be COL3 (<xref ref-type="bibr" rid="B48">48</xref>). However, as reviewed by some other authors, this method has been proven to be uncapable to distinguish collagen types since the differences in color under the polarized light are simply related to the orientation of the collagen bundles and not to the type of collagen, rendering such interpretation obsolete (<xref ref-type="bibr" rid="B34">34</xref>). Polarized colors are not due to any chemical reaction from the components of Picrosirius Red stain that would enable to differentiate collagen types by the dye, but only represent fiber thickness and packing (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>). Therefore, since this is a particularly useful method to reveal the organization and/or heterogeneity of collagen fiber orientation in different connective tissues in normal or pathological tissues (<xref ref-type="bibr" rid="B34">34</xref>), this stain was used to assess collagen in mare placenta. In the present study, collagen fibers were depicted in different locations depending on the histological structure of the equine chorioallantoic. In fact, in all mares&#x00027; placentas collagen fibers predominated in the chorionic plate and in the allantoic membrane, while very few were observed in the chorionic villi. The presence of collagen in the chorionic villi connective tissue was previously described in histological sections of human placenta (<xref ref-type="bibr" rid="B26">26</xref>). The increase in the thickness of the chorionic plate connective tissue, observed in the pregnant horn of older mares, who also had longer gestations, may explain the raise in the mRNA levels of <italic>COL1A1, COL3A1</italic>, and <italic>COL5A1</italic> and in hydroxyproline. However, further studies are needed to support this hypothesis.</p>
<p>We have shown that collagen deposition and microvascularization (vascular area and vessel count), increased in the gravid horn of older mares&#x00027; placentas. Although in other species placenta fibrosis may indicate placental insufficiency and reduced neonate body weight, this was not observed in the present study. The increased vascularization in the gravid horn might have been a compensatory feature to provide the appropriate nutrition to the equine fetus. In the bitch, the lowest ratio of placenta weight and puppy weight occurs in larger litters and when placentas depict the highest capillary density, with respect to smaller litters (<xref ref-type="bibr" rid="B14">14</xref>). In older mares, the highest ratio of placenta weight and foal weight was associated with more parturitions, and placentas that presented the highest vascular density, which might show an adaptation of the placenta and increased efficiency with parity, as referred (<xref ref-type="bibr" rid="B51">51</xref>). Nevertheless, in aging sub-fertile mares with degenerative changes in the endometrium, placental efficiency decreases, due to the smaller area of placental exchange (<xref ref-type="bibr" rid="B18">18</xref>). As a matter of fact, in old mares with endometrosis, fetal chorionic villi are shorter and more irregular when compared to healthy young mares of the same gestational age (<xref ref-type="bibr" rid="B13">13</xref>). However, our data suggest that older fertile mares, were able to develop a functional placenta and carry on a successful pregnancy to term.</p>
<p>In humans, any changes in the surface area, vascularization, cell composition or thickness of the placental barrier, influence its transport capacity (<xref ref-type="bibr" rid="B52">52</xref>). It is known that fibrosis can affect the function of an organ by disrupting the transport of fluids and electrolytes (<xref ref-type="bibr" rid="B53">53</xref>). Although data obtained in this study do not support this hypothesis, it is possible that the degree of placenta fibrosis of old mares influences foal&#x00027;s weight at birth. Several authors have documented the appearance of degenerative changes in the equine endometrium with aging (<xref ref-type="bibr" rid="B54">54</xref>&#x02013;<xref ref-type="bibr" rid="B56">56</xref>) that leads to less development of placental microcotyledons (<xref ref-type="bibr" rid="B18">18</xref>). A study carried out in our laboratory showed the appearance of fibrosis in the oviduct associated with endometrosis in old mares (<xref ref-type="bibr" rid="B17">17</xref>). Hence, it arises the hypothesis that the same could happen in the histological structure of the equine placenta. Considering the present study, as mares aged, and gestation length was prolonged, collagen fibers appeared to increase in a significant amount in the the connective tissue of the chorionic plate. It has been known that foal&#x00027;s weight at birth reflects the balance between fetal contact and placental efficiency (<xref ref-type="bibr" rid="B51">51</xref>). However, in the present work, collagen deposition in the gravid horn of older mares had a positive effect on placenta development and foals&#x00027; weight, suggesting a physiological adaptation of the placenta for foal intrauterine development. This could be explained by the fact that the older mares used in this study, aged from 10 to 15 years old, were still not in the range of mares with more reproductive problems associated to endometrosis (over 15 years) and placental disfunction, as referred by others (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B54">54</xref>). Furthermore, since the present study only focuses on placentas that have been obtained from successful births, placentas with histological lesions and/or dysfunctional placentas that possibly originated abortions were not considered. This may explain why there is no evident negative impact of mare&#x00027;s aging on foal&#x00027;s weight. Finally, unfortunately, it was not possible to collect the endometrial biopsies from the mares from which the placentas were collected, making it impossible to correlate the degree of endometrosis and the fibrosis present in the placenta.</p>
<p>In conclusion, our data suggest that older fertile mares, with more parities and longer gestation periods were able to develop a functional placenta, which was heavier, more vascularized, and with increased collagen and thickness of the chorionic plate, which enabled the delivery of heavier foals. Thus, these features might represent morphological and physiological adaptations of older fertile mares&#x00027; placentas. However, research should be continued on a larger sample of equine placentas (including successful foalings and abortions), to obtain a group of young mares and another of old mares, aged quite apart from each other. It will also be extremely important to obtain the corresponding endometrial biopsies, to understand whether fibrosis in the endometrium is accompanied by fibrosis in the placenta and its pathology.</p></sec>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary materials, further inquiries can be directed to the corresponding author/s.</p></sec>
<sec id="s6">
<title>Author Contributions</title>
<p>GF-D, MR, and GA-P: conceptualization. ANS, AC, AT, JA-M, CF, MF, JF, MB, and ES: methodology. GF-D, MR, JF, MF, and GA-P: formal analysis. ANS, AC, AT, JA-M, CF, MF, and MB: investigation. ANS: writing&#x02014;original draft preparation. GF-D and ANS: supervision project administration and funding acquisition. MF, MR, JF, ES, GA-P, and GF-D: writing&#x02014;review and editing. All authors have read and agreed to the published version of the manuscript.</p></sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>This research was funded by the projects UIDB/00276/2020 and F-04 &#x02013;CIISA MSC Internal Project.</p></sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec sec-type="disclaimer" id="s8">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec> </body>
<back>
<ack><p>The authors are very grateful to the stud farm Haras de La Gesse, 31350 Boulogne-sur-Gesse, France, for kindly providing all placenta samples and data collection on newborn foals and placentas. We also wish to thank Mrs. Maria do Ros&#x000E1;rio Lu&#x000ED;s, for the histology preparations.</p>
</ack>
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