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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.2024.1511680</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>Effects of Isalo scorpion cytotoxic peptide on growth, immune performance, and intestinal flora of yellow-feathered broilers</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Wang</surname> <given-names>Zhengli</given-names></name>
<xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2610853/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Zhu</surname> <given-names>Jianjun</given-names></name>
<xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Ma</surname> <given-names>Yan</given-names></name>
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</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Tingting</given-names></name>
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</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Shuaihu</given-names></name>
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</contrib>
<contrib contrib-type="author">
<name><surname>Gao</surname> <given-names>Mingyang</given-names></name>
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<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Sijia</given-names></name>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Jungang</given-names></name>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1837246/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Shen</surname> <given-names>Hong</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib-group>
<aff><institution>Shihezi University, Collage of Animal Science &#x0026; Technology</institution>, <addr-line>Xinjiang</addr-line>, <country>China</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Francesca Riva, University of the West of Scotland, United Kingdom</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Baseer Ahmad, Muhammad Nawaz Shareef University of Agriculture, Pakistan</p>
<p>Bochen Song, Shandong Agricultural University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Hong Shen, <email>shenhong98@163.com</email></corresp>
<corresp id="c002">Jungang Wang, <email>wangjungang98@163.com</email></corresp>
<fn fn-type="equal" id="fn0003"><p><sup>&#x2020;</sup>These authors contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1511680</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Wang, Ma, Liu, Zhu, Chen, Gao, Wang, Wang and Shen.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Wang, Ma, Liu, Zhu, Chen, Gao, Wang, Wang and Shen</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec80">
<title>Introduction</title>
<p>This study aimed to investigate the effects of Isalo scorpion cytotoxic peptide (IsCT) on the growth performance, immune function, and gut microbiota of yellow-feathered broilers.</p>
</sec>
<sec id="sec81">
<title>Methods</title>
<p>The experiment involved supplementing a corn-soybean meal-based diet with various dietary levels of IsCT. The experiment adopted a completely randomized design. A total of 240 one-day-old yellow-feathered broilers were randomly divided into six groups: a control group (CON), a chlortetracycline group (CTC), and four groups receiving a basal diet with 50, 100, 150, or 200 mg/ kg IsCT (IsCT50, IsCT100, IsCT150, and IsCT200). The trial period lasted 60 days.</p>
</sec>
<sec id="sec82">
<title>Results</title>
<p>The results showed that the average final body weight and average daily weight gain of the IsCT150 and IsCT200 groups were significantly higher than those of the CON group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Compared to the CTC group, the average daily feed intake in group III was significantly lower (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). The feed conversion ratios of the IsCT150 and IsCT200 groups were significantly lower than those of the IsCT50 and CON groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Albumin levels in the CTC and IsCT150 groups were significantly higher than those in the CON, IsCT100, and IsCT50 groups. Alanine transaminase levels in the IsCT150 group were significantly lower than those in the IsCT50, IsCT200, CON, and CTC groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), but there was no significant difference compared with the IsCT100 group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). IgA levels in the IsCT150, IsCT200, and CTC groups were significantly higher than those in the IsCT50 group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). IgG levels in the CTC, IsCT100, IsCT150, and IsCT200 groups were significantly higher than those in the IsCT50 and CON groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). 16S rRNA sequencing indicated significant differences in the caecal microbiota between the IsCT and CON groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). The abundance of <italic>Bacteroidetes</italic> increased, whereas that of Firmicutes decreased in the IsCT groups; however, the difference was not significant (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). The relative abundances of <italic>Actinobacteriota</italic> and <italic>Patescibacteria</italic> were significantly different in the IsCT100 group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</sec>
<sec id="sec83">
<title>Discussion</title>
<p>In conclusion, supplementing the basal diet with IsCT improved growth performance, immune function, and gut microbiota of yellow-feathered broilers at an optimal supplementation level of 150 mg/kg.</p>
</sec>
</abstract>
<kwd-group>
<kwd>antimicrobial peptide</kwd>
<kwd>ISCT</kwd>
<kwd>broilers</kwd>
<kwd>growth</kwd>
<kwd>immune</kwd>
<kwd>gut microbiota</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="7"/>
<equation-count count="3"/>
<ref-count count="63"/>
<page-count count="12"/>
<word-count count="7662"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Animal Nutrition and Metabolism</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>The poultry industry plays a crucial role in ensuring global food security and nutritional supply by providing high-quality protein in the form of affordable and nutritious chicken meat and eggs (<xref ref-type="bibr" rid="ref1">1</xref>). Global <italic>per capita</italic> meat consumption is increasing, with poultry accounting for 70% of the total meat consumption; over 66&#x202F;billion broilers are slaughtered worldwide annually (<xref ref-type="bibr" rid="ref2">2</xref>). Antibiotics have been used for poultry farming since the late 1940s. Consequently, the widespread use of antibiotics as feed additives has become a common practice (<xref ref-type="bibr" rid="ref3">3</xref>). The extensive use of antibiotics has resulted in the accumulation of antibiotic-resistant bacteria with selection of antibiotic resistance genes in the environment, posing potential risks to ecosystems and human health (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). The intake of antibiotics by food-producing animals and the resulting antibiotic residues in food have been recognized as major causes of the rapid spread of antimicrobial resistance in humans (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). The continuous intake of antibiotics can result in an imbalance in the gut microbiota (<xref ref-type="bibr" rid="ref8">8</xref>) and induce several intestinal diseases (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>). The 2019 Global Burden of Disease Report estimated that 14&#x202F;million people died from infection-related causes, making it the second leading cause of death after ischaemic heart disease, with bacterial pathogens responsible for 7.7&#x202F;million deaths, and antibiotic resistance in bacteria causing 1.3&#x202F;million deaths (<xref ref-type="bibr" rid="ref11">11</xref>). Therefore, there is an urgent need to develop green, natural, and non-toxic feed additives.</p>
<p>Antimicrobial peptides (AMPs) are small peptides produced by the innate immune system and are characterized by structural diversity and broad-spectrum antimicrobial activity (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>). As dietary additives, AMPs can improve broiler growth performance, immune organ indices, and gut microbiota (<xref ref-type="bibr" rid="ref14">14</xref>&#x2013;<xref ref-type="bibr" rid="ref16">16</xref>). The bactericidal capacity of AMPs generally depends on their ability to interact with microbial cell membranes and cell walls. Most AMPs selectively bind to negatively charged cell membranes/cell walls owing to their highly positive charge and hydrophobic primary structure, resulting in non-enzymatic destruction of the cell membrane, thus making it difficult for bacteria to develop resistance (<xref ref-type="bibr" rid="ref17">17</xref>&#x2013;<xref ref-type="bibr" rid="ref19">19</xref>). For example, the antimicrobial peptides magainin 2 and PGLa are synergistically inserted into the phospholipid bilayer to form pores that inactivate microorganisms (<xref ref-type="bibr" rid="ref20">20</xref>). Some peptides can enter the cell without disrupting the cell membrane and kill bacteria by inhibiting crucial intracellular functions (<xref ref-type="bibr" rid="ref21">21</xref>). Antimicrobial peptides such as cathelicidins can induce the production of intracellular reactive oxygen species (ROS), thereby damaging bacterial molecules and leading to slow growth or cell death (<xref ref-type="bibr" rid="ref22">22</xref>). The antimicrobial peptide Mastoparan X reduced the serum levels of inflammation-related genes IL-6 and LITNF in broilers, while increasing the mRNA expression levels of the antioxidant genes CAT, HMOX1, and SOD1 (<xref ref-type="bibr" rid="ref23">23</xref>). Sublancin, an antimicrobial peptide, helps alleviate necrotizing enteritis induced by <italic>Clostridium perfringens</italic> (<xref ref-type="bibr" rid="ref24">24</xref>).</p>
<p>The Isalo scorpion cytotoxic peptide (IsCT) (<xref ref-type="bibr" rid="ref25">25</xref>) is a short natural cytotoxic peptide. IsCT has demonstrated good <italic>in vitro</italic> antimicrobial activity against both Gram-negative and Gram-positive bacteria (<xref ref-type="bibr" rid="ref26">26</xref>); moreover, it has shown significant antimicrobial effects against multidrug-resistant pathogens, including methicillin-resistant <italic>Staphylococcus aureus</italic> (MRSA) and other pathogens (<xref ref-type="bibr" rid="ref27">27</xref>). Studies have indicated that IsCT improves gut barrier function, immune function, and gill health in grass carps (<xref ref-type="bibr" rid="ref28">28</xref>&#x2013;<xref ref-type="bibr" rid="ref30">30</xref>).</p>
<p>This study aimed to explore the effects of different doses of IsCT supplementation in the diet of yellow-feathered broilers on their growth performance, serum immune indicators, and immune organ indices. Moreover, using 16S rDNA high-throughput sequencing analysis of the caecal microbiota, we investigated the effects of IsCT on the gut microbiota of yellow-feathered broilers, thus providing a theoretical basis for the application of antimicrobial peptides as novel feed additives in livestock and poultry farming.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Materials and reagents</title>
<p>The antimicrobial peptide used in this experiment (scorpion-derived antimicrobial peptide IsCT) was prepared by solid-phase synthesis and was provided by Shenzhen SunSmile Biotechnology Co., Ltd. with a purity of 95%.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Animal rearing and experiments</title>
<p>This study was approved by the Animal Ethics Committee of the College of Animal Science and Technology at Shihezi University (A2024-14). The feeding trials were conducted at the Animal Experiment Station of the College of Animal Science and Technology, Shihezi University. Animal experiments lasted 60&#x202F;days. A total of 240 healthy yellow-feathered broiler chickens, 1-day-old, with equal numbers of males and females, and an average body weight of (30&#x202F;&#x00B1;&#x202F;1.4) g, were randomly divided into 6 groups, with 4 replicates per group and 10 chickens per replicate. Broiler chickens were reared according to the Technical Regulations for the Rearing Management of Yellow-Feathered Broiler Chickens in China (NY/T 1871&#x2013;2010). AMP was added at four levels (50, 100, 150, and 200&#x202F;mg/kg based on the dry matter weight of the diet) and the antibiotic control (CTC) group had an additive level of 75&#x202F;mg/kg (based on the dry matter weight of the diet). The experimental design is summarized in <xref ref-type="table" rid="tab1">Table 1</xref>. The basal diet was formulated according to the nutritional requirements of medium-speed yellow-feathered broiler chickens in NY/T 3645&#x2013;202, and its composition is shown in <xref ref-type="table" rid="tab2">Table 2</xref>. Both the basal and experimental diets were prepared using a total mixed ration blending mechanism. The dietary IsCT inclusion level was determined based on preliminary experiments (unpublished data).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Experimental design.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Groups</th>
<th align="left" valign="top">Experimental treatment</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">CON</td>
<td align="left" valign="middle">Basal diet</td>
</tr>
<tr>
<td align="left" valign="middle">CTC</td>
<td align="left" valign="middle">Basal diet +75&#x202F;mg/kg Aureomycin</td>
</tr>
<tr>
<td align="left" valign="middle">IsCT50</td>
<td align="left" valign="middle">Basal diet +50&#x202F;mg/kg IsCT</td>
</tr>
<tr>
<td align="left" valign="middle">IsCT100</td>
<td align="left" valign="middle">Basal diet +100&#x202F;mg/kg IsCT</td>
</tr>
<tr>
<td align="left" valign="middle">IsCT150</td>
<td align="left" valign="middle">Basal diet +150&#x202F;mg/kg IsCT</td>
</tr>
<tr>
<td align="left" valign="middle">IsCT200</td>
<td align="left" valign="middle">Basal diet +200&#x202F;mg/kg IsCT</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption><p>Basic dietary formulations and nutrient levels (dry matter, %).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Item</th>
<th align="center" valign="top">1&#x2013;30 days old</th>
<th align="center" valign="top">31&#x202F;~&#x202F;63 days old</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" char="." colspan="3">Rawmaterial (%)</td>
</tr>
<tr>
<td align="left" valign="middle">Premix<sup>1</sup></td>
<td align="char" valign="middle" char=".">5</td>
<td align="char" valign="middle" char=".">5</td>
</tr>
<tr>
<td align="left" valign="middle">Corn</td>
<td align="char" valign="middle" char=".">55.60</td>
<td align="char" valign="middle" char=".">67.30</td>
</tr>
<tr>
<td align="left" valign="middle">Soybean meal</td>
<td align="char" valign="middle" char=".">32.20</td>
<td align="char" valign="middle" char=".">20.50</td>
</tr>
<tr>
<td align="left" valign="middle">Bran</td>
<td align="char" valign="middle" char=".">2.50</td>
<td align="char" valign="middle" char=".">2.50</td>
</tr>
<tr>
<td align="left" valign="middle">Fish meal</td>
<td align="char" valign="middle" char=".">2.00</td>
<td align="char" valign="middle" char=".">2.50</td>
</tr>
<tr>
<td align="left" valign="middle">Soybean oil</td>
<td align="char" valign="middle" char=".">2.50</td>
<td align="char" valign="middle" char=".">2.00</td>
</tr>
<tr>
<td align="left" valign="middle">NaCl</td>
<td align="char" valign="middle" char=".">0.20</td>
<td align="char" valign="middle" char=".">0.20</td>
</tr>
<tr>
<td align="left" valign="middle">Total</td>
<td align="char" valign="middle" char=".">100.00</td>
<td align="char" valign="middle" char=".">100.00</td>
</tr>
<tr>
<td align="left" valign="middle" char="." colspan="3">Nutritional level<sup>2</sup></td>
</tr>
<tr>
<td align="left" valign="middle">Metabolizable energy(MJ/kg)</td>
<td align="char" valign="middle" char=".">12.05</td>
<td align="char" valign="middle" char=".">12.26</td>
</tr>
<tr>
<td align="left" valign="middle">Crude protein</td>
<td align="char" valign="middle" char=".">21.60</td>
<td align="char" valign="middle" char=".">17.92</td>
</tr>
<tr>
<td align="left" valign="middle">Ca</td>
<td align="char" valign="middle" char=".">0.89</td>
<td align="char" valign="middle" char=".">0.87</td>
</tr>
<tr>
<td align="left" valign="middle">Available phosphorus</td>
<td align="char" valign="middle" char=".">0.41</td>
<td align="char" valign="middle" char=".">0.41</td>
</tr>
<tr>
<td align="left" valign="middle">Lys</td>
<td align="char" valign="middle" char=".">1.23</td>
<td align="char" valign="middle" char=".">0.97</td>
</tr>
<tr>
<td align="left" valign="middle">Met</td>
<td align="char" valign="middle" char=".">0.50</td>
<td align="char" valign="middle" char=".">0.46</td>
</tr>
<tr>
<td align="left" valign="middle">Thr</td>
<td align="char" valign="middle" char=".">0.80</td>
<td align="char" valign="middle" char=".">0.66</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>1</sup>This premix provides the following nutrients (per kg of daily feed): Vitamin A: 210 KIU, Vitamin D: 45 KIU, Vitamin E: 550 KIU, Vitamin K3: 40 mg, Vitamin B1: 38 mg, Vitamin B2: 125 mg, Vitamin B6: 75 mg, Vitamin B12: 0.2 mg, Niacin: 1100 mg, Pantothenic Acid: 230 mg, Folic Acid: 18 mg, Biotin: 1 mg, Choline Chloride: 10 mg, Copper: 0.3 mg, Iron: 2.4 mg, Zinc: 1.8 mg, Manganese: 2 mg, Iodine: 16 mg, Selenium: 6.5 mg, Calcium: 14 mg, Phosphorus: 4.6 mg, Methionine: 3 mg, Lysine: 2 mg. <sup>2</sup>The nutritional levels are calculated values.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Sample collection</title>
<p>The following samples were collected on the 60th day at the end of the study: A 10&#x202F;mL blood sample was randomly collected from one chicken in each replicate via the brachial vein. The blood was centrifuged at 1,788.8&#x202F;<italic>g</italic> for 10&#x202F;min at 4&#x00B0;C, and the serum was separated and stored at &#x2212;20&#x00B0;C. Four chickens were selected from each replicate, and the thymus, spleen, and bursa of Fabricius were harvested. Caecal contents were collected using cryogenic vials and stored at &#x2212;80&#x00B0;C.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Growth performance assessment</title>
<p>During the trial period, the feed intake of broilers in each experimental group was recorded by replicates and the average daily feed intake (ADFI) of each group was calculated. The average initial body weight was recorded. On the 60th day of the experiment, the broilers were weighed by replicates. Before weighing, the broilers were fasted for 12&#x202F;h, but allowed access to water. Average final body weight (AFBW), average daily gain (ADG), and feed-to-gain ratio were calculated for each group.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Blood parameter analysis</title>
<p>Serum was analyzed using an ELISA kit to measure total protein, albumin, globulin, aspartate aminotransferase, alanine aminotransferase (ALT), serum urea nitrogen, glucose, total cholesterol, triglycerides, immunoglobulin A, immunoglobulin M, and immunoglobulin G.</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Determination of immune organ indices</title>
<p>The immune organ index was calculated based on the weight of the immune organs, using the following formulae:</p>
<disp-formula id="E1"><mml:math id="M1"><mml:mtext>Liver&#x00A0;index</mml:mtext><mml:mo>=</mml:mo><mml:mtext>Liver&#x00A0;weight</mml:mtext><mml:mspace width="thickmathspace"/><mml:mfenced open="(" close=")"><mml:mi mathvariant="normal">g</mml:mi></mml:mfenced><mml:mo stretchy="true">/</mml:mo><mml:mtext>Body&#x00A0;weight</mml:mtext><mml:mspace width="thickmathspace"/><mml:mfenced open="(" close=")"><mml:mtext>kg</mml:mtext></mml:mfenced></mml:math></disp-formula>
<disp-formula id="E2"><mml:math id="M2"><mml:mtext>Spleen&#x00A0;index</mml:mtext><mml:mo>=</mml:mo><mml:mtext>Spleen&#x00A0;weight</mml:mtext><mml:mspace width="thickmathspace"/><mml:mfenced open="(" close=")"><mml:mi mathvariant="normal">g</mml:mi></mml:mfenced><mml:mo stretchy="true">/</mml:mo><mml:mtext>Body&#x00A0;weight</mml:mtext><mml:mspace width="thickmathspace"/><mml:mfenced open="(" close=")"><mml:mtext>kg</mml:mtext></mml:mfenced></mml:math></disp-formula>
<disp-formula id="E3"><mml:math id="M3"><mml:mtext>Thymus&#x00A0;index</mml:mtext><mml:mo>=</mml:mo><mml:mtext>Thymus&#x00A0;weight</mml:mtext><mml:mspace width="thickmathspace"/><mml:mfenced open="(" close=")"><mml:mi mathvariant="normal">g</mml:mi></mml:mfenced><mml:mo stretchy="true">/</mml:mo><mml:mtext>Body&#x00A0;weight</mml:mtext><mml:mspace width="thickmathspace"/><mml:mfenced open="(" close=")"><mml:mtext>kg</mml:mtext></mml:mfenced></mml:math></disp-formula>
</sec>
<sec id="sec9">
<label>2.7</label>
<title>Caecal flora analysis</title>
<p>The collected caecal samples were sent to Shanghai Majorbio Bio-Pharm Technology Co., Ltd. for testing. The raw sequencing data were subjected to quality control, denoising, and chimera removal to obtain valid data. Based on the existing data, OTU clustering, species diversity, and differential abundance analyses were performed. Finally, visualization charts were generated using plotting tools.</p>
</sec>
<sec id="sec10">
<label>2.8</label>
<title>Statistical analysis</title>
<p>The data were subjected to rigorous statistical analysis using SPSS software (version 26.0; SPSS Inc., Chicago, IL, United States). The Shapiro&#x2013;Wilk test was used to assess the normality of the data distribution, and Levene&#x2019;s test was employed to evaluate the homogeneity of variances for all normally distributed variables. One-way analysis of variance (ANOVA) was performed, followed by a least significant difference (LSD) test for <italic>post hoc</italic> analysis. The significance level for significant differences was set at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, that for highly significant differences at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, and that for non-significant differences at <italic>p</italic>&#x202F;&#x003E;&#x202F;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<label>3</label>
<title>Results</title>
<sec id="sec12">
<label>3.1</label>
<title>Effects of antimicrobial peptide IsCT on growth performance of yellow-feathered broilers</title>
<p><xref ref-type="table" rid="tab3">Table 3</xref> displays the results of the growth performance measurements. The AFBW and average daily weight gain in the IsCT150 and IsCT200 groups were significantly higher than those in the control (CON) group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), with no significant differences between IsCT150 and IsCT200 groups. Compared to the CTC group, the ADFI in the IsCT150 group was significantly lower (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). The feed conversion ratios in the IsCT150 and IsCT200 groups were significantly lower than those in the IsCT50 and CON groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption><p>Effects of IsCT supplementation on growth performance of yellow-feathered broilers.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Item</th>
<th align="center" valign="top" colspan="6">Group</th>
<th align="center" valign="top" rowspan="2">SE</th>
<th align="center" valign="top" colspan="3"><italic>p</italic>- value</th>
</tr>
<tr>
<th align="center" valign="top">CON</th>
<th align="center" valign="top">IsCT50</th>
<th align="center" valign="top">IsCT100</th>
<th align="center" valign="top">IsCT150</th>
<th align="center" valign="top">IsCT200</th>
<th align="center" valign="top">CTC</th>
<th align="center" valign="top">Overall</th>
<th align="center" valign="top">Linear</th>
<th align="center" valign="top">Quadratic</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">AIBW(g/bird)</td>
<td align="char" valign="middle" char=".">30.89</td>
<td align="char" valign="middle" char=".">29.98</td>
<td align="char" valign="middle" char=".">29.82</td>
<td align="char" valign="middle" char=".">30.09</td>
<td align="char" valign="middle" char=".">30.02</td>
<td align="char" valign="middle" char=".">30.06</td>
<td align="char" valign="middle" char=".">0.146</td>
<td align="char" valign="middle" char=".">0.365</td>
<td align="char" valign="middle" char=".">0.924</td>
<td align="char" valign="middle" char=".">0.224</td>
</tr>
<tr>
<td align="left" valign="middle">AFBW(g/bird)</td>
<td align="char" valign="middle" char=".">2209.62<sup>b</sup></td>
<td align="char" valign="middle" char=".">2239.45</td>
<td align="char" valign="middle" char=".">2311.95</td>
<td align="char" valign="middle" char=".">2435.96<sup>a</sup></td>
<td align="char" valign="middle" char=".">2422.89<sup>a</sup></td>
<td align="char" valign="middle" char=".">2269.65</td>
<td align="char" valign="middle" char=".">30.228</td>
<td align="char" valign="middle" char=".">0.126</td>
<td align="char" valign="middle" char=".">0.071</td>
<td align="char" valign="middle" char=".">0.446</td>
</tr>
<tr>
<td align="left" valign="middle">ADFI(g/d)</td>
<td align="char" valign="middle" char=".">86.60</td>
<td align="char" valign="middle" char=".">86.53</td>
<td align="char" valign="middle" char=".">85.49</td>
<td align="char" valign="middle" char=".">83.65<sup>b</sup></td>
<td align="char" valign="middle" char=".">85.08</td>
<td align="char" valign="middle" char=".">87.75<sup>a</sup></td>
<td align="char" valign="middle" char=".">0.491</td>
<td align="char" valign="middle" char=".">0.211</td>
<td align="char" valign="middle" char=".">0.060</td>
<td align="char" valign="middle" char=".">0.852</td>
</tr>
<tr>
<td align="left" valign="middle">ADG(g/d)</td>
<td align="char" valign="middle" char=".">34.58<sup>b</sup></td>
<td align="char" valign="middle" char=".">35.07</td>
<td align="char" valign="middle" char=".">36.22</td>
<td align="char" valign="middle" char=".">38.19<sup>a</sup></td>
<td align="char" valign="middle" char=".">37.98<sup>a</sup></td>
<td align="char" valign="middle" char=".">35.55</td>
<td align="char" valign="middle" char=".">0.480</td>
<td align="char" valign="middle" char=".">0.125</td>
<td align="char" valign="middle" char=".">0.072</td>
<td align="char" valign="middle" char=".">0.150</td>
</tr>
<tr>
<td align="left" valign="middle">F/G</td>
<td align="char" valign="middle" char=".">2.52<sup>a</sup></td>
<td align="char" valign="middle" char=".">2.48<sup>a</sup></td>
<td align="char" valign="middle" char=".">2.37</td>
<td align="char" valign="middle" char=".">2.19<sup>c</sup></td>
<td align="char" valign="middle" char=".">2.25<sup>bc</sup></td>
<td align="char" valign="middle" char=".">2.47<sup>ab</sup></td>
<td align="char" valign="middle" char=".">0.038</td>
<td align="char" valign="middle" char=".">0.035</td>
<td align="char" valign="middle" char=".">0.017</td>
<td align="char" valign="middle" char=".">0.475</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a,b,c</sup>Means listed in the same row with different superscripts are significantly different (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05). Diets: CON: control group, corn&#x2013;soybean-based diet; IsCT50: 50&#x202F;mg of IsCT was added to each kilogram of diet; IsCT100: 100&#x202F;mg of IsCT was added to each kilogram of diet; IsCT150: 150&#x202F;mg of IsCT was added to each kilogram of diet; IsCT200: 200&#x202F;mg of IsCT was added to each kilogram of diet; CTC: 75&#x202F;mg of aureomycin was added to the base diet.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec13">
<label>3.2</label>
<title>Effect of IsCT on immune organ index of yellow-feathered broilers</title>
<p><xref ref-type="table" rid="tab4">Table 4</xref> presents the immune organ index measurements. The spleen indices of the IsCT150 and CTC groups were significantly higher than those of the CON and IsCT50 groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). No significant differences were observed in the spleen indices among the IsCT50, IsCT100, and CON groups (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05). The thymus and bursa of Fabricius indices did not differ significantly among the groups (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption><p>Effects of IsCT in diet on immune organ index of yellow-feathered broilers.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Item</th>
<th align="center" valign="top" colspan="6">Group</th>
<th align="center" valign="top" rowspan="2">SE</th>
<th align="center" valign="top" colspan="3"><italic>p</italic>- value</th>
</tr>
<tr>
<th align="center" valign="top">CON</th>
<th align="center" valign="top">IsCT50</th>
<th align="center" valign="top">IsCT100</th>
<th align="center" valign="top">IsCT150</th>
<th align="center" valign="top">IsCT200</th>
<th align="center" valign="top">CTC</th>
<th align="center" valign="top">Overall</th>
<th align="center" valign="top">Linear</th>
<th align="center" valign="top">Quadratic</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Thymic index</td>
<td align="char" valign="middle" char=".">3.78</td>
<td align="char" valign="middle" char=".">3.71</td>
<td align="char" valign="middle" char=".">3.83</td>
<td align="char" valign="middle" char=".">3.72</td>
<td align="char" valign="middle" char=".">3.67</td>
<td align="char" valign="middle" char=".">3.69</td>
<td align="char" valign="middle" char=".">0.161</td>
<td align="char" valign="middle" char=".">1.000</td>
<td align="char" valign="middle" char=".">0.875</td>
<td align="char" valign="middle" char=".">0.913</td>
</tr>
<tr>
<td align="left" valign="middle">Spleen index</td>
<td align="char" valign="middle" char=".">2.52<sup>c</sup></td>
<td align="char" valign="middle" char=".">2.53<sup>c</sup></td>
<td align="char" valign="middle" char=".">2.59<sup>bc</sup></td>
<td align="char" valign="middle" char=".">2.99<sup>a</sup></td>
<td align="char" valign="middle" char=".">2.78</td>
<td align="char" valign="middle" char=".">2.94<sup>ab</sup></td>
<td align="char" valign="middle" char=".">0.062</td>
<td align="char" valign="middle" char=".">0.075</td>
<td align="char" valign="middle" char=".">0.542</td>
<td align="char" valign="middle" char=".">0.230</td>
</tr>
<tr>
<td align="left" valign="middle">Bursa index</td>
<td align="char" valign="middle" char=".">1.53</td>
<td align="char" valign="middle" char=".">1.85</td>
<td align="char" valign="middle" char=".">1.61</td>
<td align="char" valign="middle" char=".">1.86</td>
<td align="char" valign="middle" char=".">1.62</td>
<td align="char" valign="middle" char=".">1.72</td>
<td align="char" valign="middle" char=".">0.062</td>
<td align="char" valign="middle" char=".">0.616</td>
<td align="char" valign="middle" char=".">0.608</td>
<td align="char" valign="middle" char=".">0.451</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a,b</sup>Means listed in the same row with different superscripts are significantly different (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05). Diets: CON: control group, corn&#x2013;soybean-based diet; IsCT50: 50&#x202F;mg of IsCT was added to each kilogram of diet; IsCT100: 100&#x202F;mg of IsCT was added to each kilogram of diet; IsCT150: 150&#x202F;mg of IsCT was added to each kilogram of diet; IsCT200: 200&#x202F;mg of IsCT was added to each kilogram of diet; CTC: 75&#x202F;mg of aureomycin was added to the base diet.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<label>3.3</label>
<title>Effect of IsCT on serum biochemical indices of yellow-feathered broilers</title>
<p><xref ref-type="table" rid="tab5">Table 5</xref> displays the results of the serum biochemical index measurements. Albumin levels in the CTC and IsCT150 groups were significantly higher than those in the CON, IsCT50, and IsCT100 groups. ALT levels in the IsCT150 group were significantly lower than those in the IsCT50, IsCT200, CON, and CTC groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), whereas the CTC group had significantly higher ALT levels than the IsCT groups.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption><p>Effects of IsCT in diet on serum biochemical indices of yellow-feathered broilers.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Item</th>
<th align="center" valign="top" colspan="6">Group</th>
<th align="center" valign="top" rowspan="2">SE</th>
<th align="center" valign="top" colspan="3"><italic>p</italic>- value</th>
</tr>
<tr>
<th align="center" valign="top">CON</th>
<th align="center" valign="top">IsCT50</th>
<th align="center" valign="top">IsCT100</th>
<th align="center" valign="top">IsCT150</th>
<th align="center" valign="top">IsCT200</th>
<th align="center" valign="top">CTC</th>
<th align="center" valign="top">Overall</th>
<th align="center" valign="top">Linear</th>
<th align="center" valign="top">Quadratic</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">TP(g/L)</td>
<td align="char" valign="middle" char=".">28.70</td>
<td align="char" valign="middle" char=".">33.70</td>
<td align="char" valign="middle" char=".">37.70</td>
<td align="char" valign="middle" char=".">29.90</td>
<td align="char" valign="middle" char=".">31.40</td>
<td align="char" valign="middle" char=".">35.00</td>
<td align="char" valign="middle" char=".">1.304</td>
<td align="char" valign="middle" char=".">0.398</td>
<td align="char" valign="middle" char=".">0.857</td>
<td align="char" valign="middle" char=".">0.077</td>
</tr>
<tr>
<td align="left" valign="middle">ALB(g/L)</td>
<td align="char" valign="middle" char=".">11.57<sup>c</sup></td>
<td align="char" valign="middle" char=".">11.67<sup>c</sup></td>
<td align="char" valign="middle" char=".">12.55<sup>bc</sup></td>
<td align="char" valign="middle" char=".">13.84<sup>ab</sup></td>
<td align="char" valign="middle" char=".">13.09</td>
<td align="char" valign="middle" char=".">14.53<sup>a</sup></td>
<td align="char" valign="middle" char=".">0.360</td>
<td align="char" valign="middle" char=".">0.034</td>
<td align="char" valign="middle" char=".">0.680</td>
<td align="char" valign="middle" char=".">0.056</td>
</tr>
<tr>
<td align="left" valign="middle">GLB(g/L)</td>
<td align="char" valign="middle" char=".">16.65</td>
<td align="char" valign="middle" char=".">21.55</td>
<td align="char" valign="middle" char=".">23.80</td>
<td align="char" valign="middle" char=".">18.55</td>
<td align="char" valign="middle" char=".">21.20</td>
<td align="char" valign="middle" char=".">21.45</td>
<td align="char" valign="middle" char=".">0.970</td>
<td align="char" valign="middle" char=".">0.382</td>
<td align="char" valign="middle" char=".">0.710</td>
<td align="char" valign="middle" char=".">0.141</td>
</tr>
<tr>
<td align="left" valign="middle">AST(U/L)</td>
<td align="char" valign="middle" char=".">206.50</td>
<td align="char" valign="middle" char=".">179.50</td>
<td align="char" valign="middle" char=".">188.50</td>
<td align="char" valign="middle" char=".">169.00</td>
<td align="char" valign="middle" char=".">200.50</td>
<td align="char" valign="middle" char=".">196.50</td>
<td align="char" valign="middle" char=".">5.682</td>
<td align="char" valign="middle" char=".">0.481</td>
<td align="char" valign="middle" char=".">0.529</td>
<td align="char" valign="middle" char=".">0.699</td>
</tr>
<tr>
<td align="left" valign="middle">ALT(U/L)</td>
<td align="char" valign="middle" char=".">3.00<sup>ab</sup></td>
<td align="char" valign="middle" char=".">2.50<sup>bc</sup></td>
<td align="char" valign="middle" char=".">2.50<sup>bc</sup></td>
<td align="char" valign="middle" char=".">1.05<sup>c</sup></td>
<td align="char" valign="middle" char=".">1.50<sup>bc</sup></td>
<td align="char" valign="middle" char=".">4.00<sup>a</sup></td>
<td align="char" valign="middle" char=".">0.331</td>
<td align="char" valign="middle" char=".">0.059</td>
<td align="char" valign="middle" char=".">0.023</td>
<td align="char" valign="middle" char=".">0.063</td>
</tr>
<tr>
<td align="left" valign="middle">GLU(mmol/L)</td>
<td align="char" valign="middle" char=".">15.50</td>
<td align="char" valign="middle" char=".">11.75</td>
<td align="char" valign="middle" char=".">10.55</td>
<td align="char" valign="middle" char=".">12.90</td>
<td align="char" valign="middle" char=".">11.95</td>
<td align="char" valign="middle" char=".">12.20</td>
<td align="char" valign="middle" char=".">0.665</td>
<td align="char" valign="middle" char=".">0.450</td>
<td align="char" valign="middle" char=".">0.555</td>
<td align="char" valign="middle" char=".">0.207</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a,b,c</sup>Means listed in the same row with different superscripts are significantly different (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05). Diets: CON: control group, corn&#x2013;soybean-based diet; IsCT50: 50&#x202F;mg of IsCT was added to each kilogram of diet; IsCT100: 100&#x202F;mg of IsCT was added to each kilogram of diet; IsCT150: 150&#x202F;mg of IsCT was added to each kilogram of diet; IsCT200: 200&#x202F;mg of IsCT was added to each kilogram of diet; CTC: 75&#x202F;mg of aureomycin was added to the base diet.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<label>3.4</label>
<title>Effect of IsCT on serum immune protein of yellow-feathered broilers</title>
<p><xref ref-type="table" rid="tab6">Table 6</xref> displays the results of serum immune protein measurements. IgA levels in the IsCT150, IsCT200, and CTC groups were significantly higher than those in the IsCT50 group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). IgG levels in the CTC, IsCT100, IsCT150, and IsCT200 groups were significantly higher than those in the IsCT50 and CON groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). IgM levels in the IsCT150, IsCT200, and CTC groups were significantly higher than those in the IsCT50 and CON groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption><p>Effects of IsCT in diet on serum immune protein of yellow-feathered broilers.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Item</th>
<th align="center" valign="top" colspan="6">Group</th>
<th align="center" valign="top" rowspan="2">SE</th>
<th align="center" valign="top" colspan="3"><italic>p</italic>- value</th>
</tr>
<tr>
<th align="center" valign="top">CON</th>
<th align="center" valign="top">IsCT50</th>
<th align="center" valign="top">IsCT100</th>
<th align="center" valign="top">IsCT150</th>
<th align="center" valign="top">IsCT200</th>
<th align="center" valign="top">CTC</th>
<th align="center" valign="top">Overall</th>
<th align="center" valign="top">Linear</th>
<th align="center" valign="top">Quadratic</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">IgA(&#x03BC;g/mL)</td>
<td align="char" valign="middle" char=".">357.98</td>
<td align="char" valign="middle" char=".">343.57<sup>b</sup></td>
<td align="char" valign="middle" char=".">391.61</td>
<td align="char" valign="middle" char=".">400.73<sup>a</sup></td>
<td align="char" valign="middle" char=".">403.39<sup>a</sup></td>
<td align="char" valign="middle" char=".">411.49<sup>a</sup></td>
<td align="char" valign="middle" char=".">8.063</td>
<td align="char" valign="middle" char=".">0.070</td>
<td align="char" valign="middle" char=".">0.106</td>
<td align="char" valign="middle" char=".">0.283</td>
</tr>
<tr>
<td align="left" valign="middle">IgG(&#x03BC;g/mL)</td>
<td align="char" valign="middle" char=".">2715.10<sup>b</sup></td>
<td align="char" valign="middle" char=".">2699.67<sup>b</sup></td>
<td align="char" valign="middle" char=".">3082.42<sup>a</sup></td>
<td align="char" valign="middle" char=".">3100.58<sup>a</sup></td>
<td align="char" valign="middle" char=".">3053.07<sup>a</sup></td>
<td align="char" valign="middle" char=".">3103.30<sup>a</sup></td>
<td align="char" valign="middle" char=".">51.342</td>
<td align="char" valign="middle" char=".">0.020</td>
<td align="char" valign="middle" char=".">0.021</td>
<td align="char" valign="middle" char=".">0.719</td>
</tr>
<tr>
<td align="left" valign="middle">IgM(&#x03BC;g/mL)</td>
<td align="char" valign="middle" char=".">986.76<sup>b</sup></td>
<td align="char" valign="middle" char=".">975.21<sup>b</sup></td>
<td align="char" valign="middle" char=".">1051.95</td>
<td align="char" valign="middle" char=".">1102.62<sup>a</sup></td>
<td align="char" valign="middle" char=".">1093.72<sup>a</sup></td>
<td align="char" valign="middle" char=".">1110.14<sup>a</sup></td>
<td align="char" valign="middle" char=".">16.130</td>
<td align="char" valign="middle" char=".">0.030</td>
<td align="char" valign="middle" char=".">0.121</td>
<td align="char" valign="middle" char=".">0.224</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a,b</sup>Means listed in the same row with different superscripts are significantly different (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05). Diets: CON: control group, corn&#x2013;soybean-based diet; IsCT50: 50&#x202F;mg of IsCT was added to each kilogram of diet; IsCT100: 100&#x202F;mg of IsCT was added to each kilogram of diet; IsCT150: 150&#x202F;mg of IsCT was added to each kilogram of diet; IsCT200: 200&#x202F;mg of IsCT was added to each kilogram of diet; CTC: 75&#x202F;mg of aureomycin was added to the base diet.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec16">
<label>3.5</label>
<title>Effect of dietary IsCT antimicrobial peptide on caecal flora alpha diversity in yellow-feathered broilers</title>
<sec id="sec17">
<label>3.5.1</label>
<title>Alpha diversity of fecal bacteria</title>
<p><xref ref-type="table" rid="tab7">Table 7</xref> displays the results of the <italic>&#x03B1;</italic>-diversity indices. The Shannon index of the CON group was significantly higher than that of the CTC group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). The Simpson index of the CTC group was significantly higher than that of the other groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Compared with the CTC group, the Abundance-based Coverage Estimator (ACE) indices of both the CON and IsCT groups were significantly higher (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Furthermore, the good coverage index of the CTC group was significantly higher than that of the CON group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01).</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption><p>Determination of cecal microbiota &#x03B1;-diversity results among different treatment groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Item</th>
<th align="center" valign="top" colspan="6">Group</th>
<th align="center" valign="top" rowspan="2">SE</th>
<th align="center" valign="top" colspan="3"><italic>p</italic>- value</th>
</tr>
<tr>
<th align="center" valign="top">CON</th>
<th align="center" valign="top">IsCT50</th>
<th align="center" valign="top">IsCT100</th>
<th align="center" valign="top">IsCT150</th>
<th align="center" valign="top">IsCT200</th>
<th align="center" valign="top">CTC</th>
<th align="center" valign="top">Overall</th>
<th align="center" valign="top">Linear</th>
<th align="center" valign="top">Quadratic</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Chao1 index</td>
<td align="char" valign="middle" char=".">923.91</td>
<td align="char" valign="middle" char=".">852.16</td>
<td align="char" valign="middle" char=".">802.23</td>
<td align="char" valign="middle" char=".">748.80</td>
<td align="char" valign="middle" char=".">874.25</td>
<td align="char" valign="middle" char=".">650.83</td>
<td align="char" valign="middle" char=".">30.395</td>
<td align="char" valign="middle" char=".">0.103</td>
<td align="char" valign="middle" char=".">0.026</td>
<td align="char" valign="middle" char=".">0.927</td>
</tr>
<tr>
<td align="left" valign="middle">Shannon index</td>
<td align="char" valign="middle" char=".">4.17<sup>Aa</sup></td>
<td align="char" valign="middle" char=".">4.03<sup>a</sup></td>
<td align="char" valign="middle" char=".">4.24</td>
<td align="char" valign="middle" char=".">4.00</td>
<td align="char" valign="middle" char=".">4.41<sup>a</sup></td>
<td align="char" valign="middle" char=".">3.68<sup>Bb</sup></td>
<td align="char" valign="middle" char=".">0.084</td>
<td align="char" valign="middle" char=".">0.182</td>
<td align="char" valign="middle" char=".">0.345</td>
<td align="char" valign="middle" char=".">0.244</td>
</tr>
<tr>
<td align="left" valign="middle">Simpson index</td>
<td align="char" valign="middle" char=".">0.05</td>
<td align="char" valign="middle" char=".">0.06</td>
<td align="char" valign="middle" char=".">0.04<sup>b</sup></td>
<td align="char" valign="middle" char=".">0.05</td>
<td align="char" valign="middle" char=".">0.04<sup>b</sup></td>
<td align="char" valign="middle" char=".">0.09<sup>a</sup></td>
<td align="char" valign="middle" char=".">0.006</td>
<td align="char" valign="middle" char=".">0.221</td>
<td align="char" valign="middle" char=".">0.231</td>
<td align="char" valign="middle" char=".">0.109</td>
</tr>
<tr>
<td align="left" valign="middle">Ace index</td>
<td align="char" valign="middle" char=".">963.15<sup>a</sup></td>
<td align="char" valign="middle" char=".">880.68</td>
<td align="char" valign="middle" char=".">835.23</td>
<td align="char" valign="middle" char=".">773.77</td>
<td align="char" valign="middle" char=".">907.10<sup>a</sup></td>
<td align="char" valign="middle" char=".">675.41<sup>b</sup></td>
<td align="char" valign="middle" char=".">33.326</td>
<td align="char" valign="middle" char=".">0.146</td>
<td align="char" valign="middle" char=".">0.035</td>
<td align="char" valign="middle" char=".">0.964</td>
</tr>
<tr>
<td align="left" valign="middle">good_coverage index</td>
<td align="char" valign="middle" char=".">0.9936<sup>B</sup></td>
<td align="char" valign="middle" char=".">0.9944</td>
<td align="char" valign="middle" char=".">0.9946</td>
<td align="char" valign="middle" char=".">0.9949</td>
<td align="char" valign="middle" char=".">0.9947</td>
<td align="char" valign="middle" char=".">0.9959<sup>A</sup></td>
<td align="char" valign="middle" char=".">0.000</td>
<td align="char" valign="middle" char=".">0.152</td>
<td align="char" valign="middle" char=".">0.014</td>
<td align="char" valign="middle" char=".">0.922</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a,b</sup>Means listed in the same row with different superscripts are significantly different (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05). <sup>A,B</sup>Means listed in the same row with different superscripts are highly significantly different (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.01). Diets: CON: control group, corn&#x2013;soybean-based diet; IsCT50: 50&#x202F;mg of IsCT was added to each kilogram of diet; IsCT100: 100&#x202F;mg of IsCT was added to each kilogram of diet; IsCT150: 150&#x202F;mg of IsCT was added to each kilogram of diet; IsCT200: 200&#x202F;mg of IsCT was added to each kilogram of diet; CTC: 75&#x202F;mg of aureomycin was added to the base diet.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="sec18">
<label>3.6</label>
<title>Effects of dietary IsCT on beta diversity of caecal microflora in yellow-feathered broilers</title>
<p>Principal coordinate analysis (PCoA) was used to visualize the microbial community structure and compare differences among experimental groups. In <xref ref-type="fig" rid="fig1">Figure 1</xref>, each point represents a sample and different colors indicate different groups. The first and second principal coordinates, PC1 and PC2, accounted for 18.01 and 12.46% of the variance in caecal microbial structure, respectively. Samples from the IsCT50, IsCT100, IsCT150, and CTC groups were distinctly separated from those of the CON group, indicating significant differences in bacterial communities compared to the CON group. In contrast, the samples from the CON group clustered together with those from the IsCT200 group, showing no significant differences.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Principal component and principal coordinate analyses of fecal bacteria (results based on PCOA weighted principal coordinate analysis). Diets: CON: control group, corn&#x2013;soybean-based diet; IsCT50: 50 mg of IsCT was added to each kilogram of diet; IsCT100: 100 mg of IsCT was added to each kilogram of diet; IsCT150: 150 mg of IsCT was added to each kilogram of diet; IsCT200: 200 mg of IsCT was added to each kilogram of diet; CTC: 75 mg of aureomycin was added to the base diet.</p></caption>
<graphic xlink:href="fvets-11-1511680-g001.tif"/>
</fig>
</sec>
<sec id="sec19">
<label>3.7</label>
<title>Effects of dietary IsCT on beta diversity of caecal microflora in yellow-feathered broilers</title>
<p>The main microbial phyla present in the caecal microbiota of yellow-feathered broilers at 60&#x202F;days of age included Bacteroidetes, Firmicutes, Desulfobacterota, Actinobacteriota, and Deferribacterota (<xref ref-type="fig" rid="fig2">Figure 2</xref>), while the main microbial genera included Bacteroides, Rikenellaceae_RC9_gut_group, Faecalibacterium, Phascolarctobacterium, and the norank_f__norank_o__Clostridia_UCG-014 (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>The relative abundance of microbial species at the phylum level in the cecum of yellow-feathered broilers under different treatments. Diets: CON: control group, corn&#x2013;soybean-based diet; IsCT50: 50 mg of IsCT was added to each kilogram of diet; IsCT100: 100 mg of IsCT was added to each kilogram of diet; IsCT150: 150 mg of IsCT was added to each kilogram of diet; IsCT200: 200 mg of IsCT was added to each kilogram of diet; CTC: 75 mg of aureomycin was added to the base diet.</p></caption>
<graphic xlink:href="fvets-11-1511680-g002.tif"/>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>The relative abundance of microbial species at the genus level in the cecum of yellow-feathered broilers under different treatments. Diets: CON: control group, corn&#x2013;soybean-based diet; IsCT50: 50 mg of IsCT was added to each kilogram of diet; IsCT100: 100 mg of IsCT was added to each kilogram of diet; IsCT150: 150 mg of IsCT was added to each kilogram of diet; IsCT200: 200 mg of IsCT was added to each kilogram of diet; CTC: 75 mg of aureomycin was added to the base diet.</p></caption>
<graphic xlink:href="fvets-11-1511680-g003.tif"/>
</fig>
</sec>
<sec id="sec20">
<label>3.8</label>
<title>Analysis of species diversity in the intestinal microbiota</title>
<p>Linear discriminant analysis (LDA) was used to determine the differences in microbial composition at the phylum and genus levels in the caecum among different experimental groups (LDA score&#x202F;&#x2265;&#x202F;3.5). At the phylum level (<xref ref-type="fig" rid="fig4">Figures 4</xref>, <xref ref-type="fig" rid="fig5">5</xref>), the relative abundances of Actinobacteriota (p__Actinobacteriota) and Patescibacteria (p__Patescibacteria) in the IsCT100 group were significantly higher than those in the other groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). At the genus level (<xref ref-type="fig" rid="fig6">Figures 6</xref>, <xref ref-type="fig" rid="fig7">7</xref>), the relative abundance of unclassified genera within the class Bacteroidia (g__unclassified_c__Bacteroidia) and that of Candidatus Saccharimonas (g__Candidatus_Saccharimonas) in the CON group was significantly higher than that in the other groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). In the IsCT50 group, the relative abundances of Mailhella (g__Mailhella) and unclassified genera within the family Erysipelotrichaceae (g__norank_f__Erysipelotrichaceae) significantly increased (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). In the IsCT100 group, the relative abundances of Olsenella (g__Olsenella), unclassified genus UCG-004 (g__UCG-004), and Paludicola (g__<italic>Paludicola</italic>) were significantly higher. In the IsCT150 group, the relative abundance of Megasphaera (g _ <italic>Megasphaera</italic>) significantly increased (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). In the IsCT treatment groups, the relative abundances of Lactobacillus (g _ <italic>Lactobacillus</italic>), <italic>Eisenbergiella</italic> (g _ <italic>Eisenbergiella</italic>), Sphaerochaeta (g _ <italic>Sphaerochaeta</italic>), and several unclassified genera (e.g., g _ unclassified_f _ <italic>Atopobiaceae</italic>) were significantly higher (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). In the CTC group, the relative abundances of Bacteroides (g__<italic>Bacteroides</italic>) and <italic>Anaerobiospirillum</italic> (g__<italic>Anaerobiospirillum</italic>) was significantly higher than in the other groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption><p>T-test of cecal microbiota at the phylum level in yellow-feathered broilers under different treatments. Diets: CON: control group, corn&#x2013;soybean-based diet; IsCT50: 50 mg of IsCT was added to each kilogram of diet; IsCT100: 100 mg of IsCT was added to each kilogram of diet; IsCT150: 150 mg of IsCT was added to each kilogram of diet; IsCT200: 200 mg of IsCT was added to each kilogram of diet; CTC: 75 mg of aureomycin was added to the base diet.</p></caption>
<graphic xlink:href="fvets-11-1511680-g004.tif"/>
</fig>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption><p>The relative species differences of the microbiota at the phylum level in the cecum of yellow-feathered broilers under different treatments. Diets: CON: control group, corn&#x2013;soybean-based diet; IsCT50: 50 mg of IsCT was added to each kilogram of diet; IsCT100: 100 mg of IsCT was added to each kilogram of diet; IsCT150: 150 mg of IsCT was added to each kilogram of diet; IsCT200: 200 mg of IsCT was added to each kilogram of diet; CTC: 75 mg of aureomycin was added to the base diet.</p></caption>
<graphic xlink:href="fvets-11-1511680-g005.tif"/>
</fig>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption><p>T-test of cecal microbiota at the genus level in yellow-feathered broilers under different treatments. Diets: CON: control group, corn&#x2013;soybean-based diet; IsCT50: 50 mg of IsCT was added to each kilogram of diet; IsCT100: 100 mg of IsCT was added to each kilogram of diet; IsCT150: 150 mg of IsCT was added to each kilogram of diet; IsCT200: 200 mg of IsCT was added to each kilogram of diet; CTC: 75 mg of aureomycin was added to the base diet.</p></caption>
<graphic xlink:href="fvets-11-1511680-g006.tif"/>
</fig>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption><p>The relative species differences of the microbiota at the genus level in the cecum of yellow-feathered broilers under different treatments. Diets: CON: control group, corn&#x2013;soybean-based diet; IsCT50: 50 mg of IsCT was added to each kilogram of diet; IsCT100: 100 mg of IsCT was added to each kilogram of diet; IsCT150: 150 mg of IsCT was added to each kilogram of diet; IsCT200: 200 mg of IsCT was added to each kilogram of diet; CTC: 75 mg of aureomycin was added to the base diet.</p></caption>
<graphic xlink:href="fvets-11-1511680-g007.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec21">
<label>4</label>
<title>Discussion</title>
<p>The antimicrobial peptide Plectasin improves the growth performance of broiler chickens, which may be mediated by the inhibition of harmful bacteria in the intestine (<xref ref-type="bibr" rid="ref14">14</xref>). Another study found that Microcin C7 increased the ADG of broilers and reduced their feed-to-gain ratio (<xref ref-type="bibr" rid="ref31">31</xref>). Additionally, research indicated that AMPs promoted broiler growth (<xref ref-type="bibr" rid="ref32">32</xref>). This study found that adding 150 and 200&#x202F;mg/kg IsCT to the diet significantly increased the final body weight and ADG of yellow-feathered broilers at 60&#x202F;days of age. Moreover, 150&#x202F;mg/kg IsCT significantly reduced the ADFI of yellow-feathered broilers. These findings suggest that supplementing broiler diets with IsCT can improve growth performance, possibly by enhancing intestinal barrier function and immune performance, thereby improving nutrient digestion and absorption. Similar additives include essential oils, probiotics and polysaccharide. These additives improve gut health, thereby mediating enhanced growth performance (<xref ref-type="bibr" rid="ref33">33</xref>&#x2013;<xref ref-type="bibr" rid="ref35">35</xref>). What differs in certain aspects is that IsCT possesses a small molecular weight (only 13 amino acids) and a simple composition, allowing it to be more easily metabolized without leaving residues in the animal&#x2019;s body.</p>
<p>Immune organ indicators are commonly used to evaluate the immune performance of poultry (<xref ref-type="bibr" rid="ref36">36</xref>), and an increase in the immune organ index often indicates good immune organ development (<xref ref-type="bibr" rid="ref37">37</xref>). The spleen is involved in both humoral and cellular immune responses, making it an important immune organ in poultry (<xref ref-type="bibr" rid="ref38">38</xref>). Studies have found that adding Mastoparan X to the diet of bacteria-challenged chickens can increase their relative spleen weight (<xref ref-type="bibr" rid="ref23">23</xref>). Another study indicated that feeding broilers the antimicrobial peptide Gal-13 significantly increased the weight of their spleens and thymuses (<xref ref-type="bibr" rid="ref39">39</xref>). This study found that adding 150&#x202F;mg/kg IsCT to the diet significantly increased the spleen index of yellow-feathered broilers, which is consistent with previous findings, indicating that IsCT has a positive effect on spleen development in broilers.</p>
<p>According to previous studies, the addition of antimicrobial peptides to feed can effectively improve animal serum indicators (<xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>). Studies have found that adding bioactive peptides from sesame meal to the diet of broilers can increase the concentration of serum albumin (<xref ref-type="bibr" rid="ref42">42</xref>), which is consistent with the results of this study. Another study indicated that supplementing the diet with the antimicrobial peptide LLv raised serum IgA and IgM levels in broilers at 21 and 42&#x202F;days of age (<xref ref-type="bibr" rid="ref43">43</xref>). Additionally, it has been found that antimicrobial peptides increased serum IgA and IgG levels in Gushi chickens (<xref ref-type="bibr" rid="ref44">44</xref>). In this study, IsCT significantly increased serum IgA, IgM, and IgG levels, which is consistent with previous literature. ALT is not only closely related to liver fat accumulation (<xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref46">46</xref>) but also plays an important role in the intermediate metabolism of amino acids and glucose (<xref ref-type="bibr" rid="ref47">47</xref>). ALT is closely associated with metabolic health in animals and serves as a marker of liver disease (<xref ref-type="bibr" rid="ref48">48</xref>). Some studies have shown that dietary lysozymes and ZnB significantly reduce ALT levels (<xref ref-type="bibr" rid="ref49">49</xref>). In this study, we found that IsCT reduced serum ALT content in broilers, indicating an improvement in liver function. Additionally, ALT levels increased significantly in broilers fed with antibiotics. Research has shown that long-term use of antibiotics can have adverse effects on the liver, including significant increases in ALT levels (<xref ref-type="bibr" rid="ref50">50</xref>&#x2013;<xref ref-type="bibr" rid="ref52">52</xref>). Based on previous studies, we speculated that the elevated serum ALT levels in the antibiotic group of broilers in this study were caused by long-term antibiotic feeding.</p>
<p>The gut microbiota is a key contributor to maintaining intestinal homeostasis and host health, and has been shown to play a role in nutrient absorption, metabolism, immune system maturation, and the intestinal mucosal barrier (<xref ref-type="bibr" rid="ref53">53</xref>, <xref ref-type="bibr" rid="ref54">54</xref>). Indicators reflect the richness and evenness of species within a single sample (<xref ref-type="bibr" rid="ref55">55</xref>). Studies have shown that the Chicken NK-2 peptide effectively reduces the reproductive capacity of &#x002A;Eimeria&#x002A; parasites in the host&#x2019;s intestines (<xref ref-type="bibr" rid="ref14">14</xref>). Another study showed that the antimicrobial peptide cLFchimera restored the microbial community balance in the ileum of birds disrupted by antibiotics (<xref ref-type="bibr" rid="ref16">16</xref>). Through <italic>&#x03B1;</italic>-diversity analysis, it was found that IsCT reduced the richness of the caecal microbiota in broilers, which may be due to the inhibitory effect of IsCT on certain genera. <italic>&#x03B2;</italic>-diversity is an important indicator of differences in species composition between different samples (<xref ref-type="bibr" rid="ref56">56</xref>). Through &#x03B2;-diversity analysis, it was found that the composition of the microbiota in the IsCT group differed significantly from that in the CON group, suggesting that the antimicrobial peptide IsCT had some impact on the caecal microbiota structure of broilers. In the caecum of broilers, <italic>Bacteroidetes</italic> and <italic>Firmicutes</italic> are the two major bacterial phyla. They play important roles in the gut microbial community, and are closely associated with host nutrient absorption, immune regulation, and health status. Intestinal-associated Bacteroidetes can degrade complex polymers, thereby facilitating food digestion and nutrient acquisition (<xref ref-type="bibr" rid="ref57">57</xref>). The study found that at the phylum level, the abundance of <italic>Bacteroidetes</italic> in the caecal microbiota of broilers increased, whereas the abundance of <italic>Firmicutes</italic> decreased, which may improve the intestinal immune status, enhance mucosal health, and potentially reduce excessive energy absorption, thereby positively impacting the health and growth performance of broilers (<xref ref-type="bibr" rid="ref58">58</xref>, <xref ref-type="bibr" rid="ref59">59</xref>). Notably, some species of the genus Bacteroides secrete short-chain fatty acids that can influence gut and brain functions (<xref ref-type="bibr" rid="ref60">60</xref>). The metabolites produced by these microorganisms may induce autism spectrum disorder (<xref ref-type="bibr" rid="ref61">61</xref>). However, the molecular mechanisms by which Bacteroidetes affect the host remain to be explored. Additionally, LDA analysis showed that at the phylum level, the relative abundances of <italic>Actinobacteriota</italic> and <italic>Patescibacteria</italic> were significantly higher in the IsCT100 group than in the other groups. Although <italic>Actinobacteriota</italic> constitute a relatively small proportion of the gut microbiota, they play a crucial role in maintaining intestinal homeostasis (<xref ref-type="bibr" rid="ref62">62</xref>). <italic>Patescibacteria</italic> typically coexist symbiotically with other microbes, with certain <italic>Patescibacteria</italic> forming mutualistic relationships with <italic>Actinobacteria</italic>, suggesting that they play a special ecological role in the gut (<xref ref-type="bibr" rid="ref63">63</xref>).</p>
</sec>
<sec sec-type="conclusions" id="sec22">
<label>5</label>
<title>Conclusion</title>
<p>This study concluded that adding IsCT to the diet of yellow-feathered broiler chickens could improve their growth performance, immune function, and gut microbiota, with an optimal supplementation level of 150&#x202F;mg/kg.</p>
</sec>
<sec id="sec23">
<label>6</label>
<title>Simple summary</title>
<p>We aimed to investigate the effects of Isalo scorpion cytotoxic peptide (IsCT) on the growth, immune performance, and intestinal microbiota of yellow-feathered broilers. A total of 240 yellow-feathered broilers were randomly assigned to six groups, with different doses of IsCT added to the basal diet of each group. The results showed an increase in immunoglobulin levels and daily weight gain and reduction in daily feed intake and feed conversion ratio. Additionally, the abundance of beneficial bacteria increased whereas that of harmful bacteria decreased in the caecum of the chickens. Therefore, IsCT helps improve the growth and immune performance of yellow-feathered broilers and optimizes the intestinal microbiota.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec25">
<title>Data availability statement</title>
<p>The data presented in the study are deposited in the NCBI bioproject for the 16S sequencing data repository, accession number PRJNA1194524.</p>
</sec>
<sec sec-type="ethics-statement" id="sec26">
<title>Ethics statement</title>
<p>The animal study was approved by Animal Ethics Committee of the College of Animal Science and Technology at Shihezi University. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec27">
<title>Author contributions</title>
<p>ZW: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JZ: Validation, Writing &#x2013; review &#x0026; editing. YM: Methodology, Writing &#x2013; review &#x0026; editing. TL: Data curation, Writing &#x2013; review &#x0026; editing. SC: Formal Analysis, Writing &#x2013; review &#x0026; editing. MG: Software, Writing &#x2013; review &#x0026; editing. SW: Investigation, Writing &#x2013; review &#x0026; editing. JW: Conceptualization, Project administration, Writing &#x2013; review &#x0026; editing. HS: Conceptualization, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec28">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
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<sec sec-type="COI-statement" id="sec29">
<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 id="sec24">
<title>Generative AI statement</title>
<p>The authors declare that no Generative AI was used in the creation of this manuscript.</p>
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<sec sec-type="disclaimer" id="sec30">
<title>Publisher&#x2019;s note</title>
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</sec>
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