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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.2022.882754</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>The Effects of Fenugreek Extract on Growth Performance, Serum Biochemical Indexes, Immunity and NF-&#x003BA;B Signaling Pathway in Broiler</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Huang</surname> <given-names>Hui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1692192/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Xia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Ling</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>He</surname> <given-names>Wenxiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Meng</surname> <given-names>Tiantian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1540091/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zheng</surname> <given-names>Ke</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Xia</surname> <given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Yingjun</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>He</surname> <given-names>Jianhua</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1136840/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Chunming</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zou</surname> <given-names>Shengwen</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Xiao</surname> <given-names>Dingfu</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/1591952/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Animal Science and Technology, Hunan Agricultural University</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Yiyang Vocational and Technical College</institution>, <addr-line>Yiyang</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Geneham Pharmaceutical Co., Ltd.</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>College of Xiangya Pharmaceutical Sciences, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Hunan Wenfeng Agricultural and Animal Husbandry Technology Co.</institution>, <addr-line>Loudi</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Bing Dong, China Agricultural University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Zhigang Song, Shandong Agricultural University, China; Xun Wang, Sichuan Agricultural University, China; Khalid M. Mahrose, Zagazig University, Egypt; Shimaa A. Amer, Zagazig University, Egypt</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Dingfu Xiao <email>xiaodingfu2001&#x00040;163.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Animal Nutrition and Metabolism, 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>23</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>882754</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Huang, Wang, Yang, He, Meng, Zheng, Xia, Zhou, He, Liu, Zou and Xiao.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Huang, Wang, Yang, He, Meng, Zheng, Xia, Zhou, He, Liu, Zou and Xiao</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 order to study the regulation of Fenugreek seed extract (FSE) on the immunity of broilers, and explore the appropriate amount of FSE in broilers&#x00027; production, 1-day-old yellow feather broilers with a total of 420 birds were randomly allocated into seven treatments. Each treatment had six replicates, with 10 birds per replicate. The two control groups were the basic fodder group fed with basal diet and the bacitracin zinc group added 30 mg/kg bacitracin zinc to the basal diet. Experimental groups included five levels of FSE (50, 100, 200, 400, and 800 mg/kg FSE to the basal diet, respectively). The pre-test period was 7 days and the formal test lasted for 56 days. The results showed that the average daily gain (ADG) of 50 and 800 mg/kg FSE groups was significantly increased (<italic>P</italic> &#x0003C; 0.01), and the feed to gain ratio (F/G) of FSE groups was significantly decreased (<italic>P</italic> &#x0003C; 0.01) compared with the basic fodder and the bacitracin zinc groups. Compared with the basic fodder group, the serum total cholesterol (TC) content in the FSE groups was significantly decreased (<italic>P</italic> &#x0003C; 0.05), the serum low density lipoprotein cholesterol (LDL-C) content of 50, 100, and 800 mg/kg FSE groups was significantly lower than that of the basic fodder group (<italic>P</italic> &#x0003C; 0.05). Compared with the basic fodder and bacitracin zinc groups, the serum immunoglobulins (IgG, IgM, IgA) content of 100 and 200 mg/kg FSE groups were significantly increased (<italic>P</italic> &#x0003C; 0.05). Compared with the bacitracin zinc group, the serum interleukins (IL-1, IL-10) content of 400 mg/kg FSE group were significantly increased (<italic>P</italic> &#x02264; 0.05), and the serum interferon-&#x003B3; (IFN-&#x003B3;) content of 100 and 200 mg/kg FSE groups was significantly increased (<italic>P</italic> &#x0003C; 0.05). Compared with the basic fodder group, the lower doses (0&#x02013;400 mg/kg) of FSE had no significant effect on the mRNA expression of toll-like receptors 4/ myeloid differentiation factor 88/ nuclear factor-&#x003BA;B (TLR4/MyD88/NF-&#x003BA;B) signaling pathways (<italic>P</italic> &#x0003E; 0.05). The 800 mg/kg FSE treatment group significantly increased the expression levels of nuclear factor-&#x003BA;B (NF-&#x003BA;B) mRNA in the spleen of broilers (<italic>P</italic> &#x0003C; 0.05). The zinc bacitracin group significantly increased the expression levels of myeloid differentiation factor 88 (MyD88) and nuclear factor-&#x003BA;B (NF-&#x003BA;B) mRNA (<italic>P</italic> &#x02264; 0.05). The results showed that FSE could promote the secretion of immunoglobulins, regulate the body&#x00027;s cytokines, and have a positive effect on immunity in broilers. Furthermore, the recommended supplement of FSE is 100 mg/kg in the broiler diet.</p></abstract>
<kwd-group>
<kwd>fenugreek seed extract</kwd>
<kwd>broiler</kwd>
<kwd>immunity</kwd>
<kwd>production performance</kwd>
<kwd>NF-&#x003BA;B signaling pathway</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="8"/>
<equation-count count="4"/>
<ref-count count="66"/>
<page-count count="10"/>
<word-count count="8435"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Antibiotics are widely added in feed because they are beneficial to the development and disease resistance of livestock and poultry. However, the long-term use of antibiotics makes animals resistant to antibiotics, while leaving antibiotics in animal products, adversely affecting human health (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Since July 1, 2020, banning the use of antibiotics in livestock and poultry nutrition in China, plant secondary metabolites and their derivatives have attracted a lot of attention for their potential role as alternatives for antibiotics. The research of plant extracts replacing antibiotics has become a hot spot (<xref ref-type="bibr" rid="B3">3</xref>). Fenugreek is a famous medicinal plant. The plant, about 60 cm tall, has light yellow triangular-shaped flowers and trilobal-shaped leaves. It is widely used in medicine as one type of plant extracts that have been frequently studied in recent years. Fenugreek is a multifunctional herb belonging to the family of fabacecae which is known for its antifungal, antiviral, anticarcinogenic, antidiabetic and antimicrobial properties (<xref ref-type="bibr" rid="B4">4</xref>). Fenugreek extract mainly refers to plant extracts from fenugreek seeds that have a certain beneficial effect on the animal body. It is mainly rich in polyphenols, flavonoids, saponins, polysaccharides and alkaloids, and other nutrients and chemical components, which have positive effects on livestock and poultry such as promoting growth and improving immunity (<xref ref-type="bibr" rid="B5">5</xref>). Some researchers have reported that fenugreek can stimulate humoral and cellular immune mechanisms (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>) and regulate body immunity (<xref ref-type="bibr" rid="B8">8</xref>&#x02013;<xref ref-type="bibr" rid="B11">11</xref>). However, others have noticed that the use of fenugreek in layer diets in amounts of 1.00 and 2.00% has a negative influence on the egg production. The objective of the present study was to confirm previous work on dietary supplementation of fenugreek extract on growth performance, immune organ indexes, blood parameters and NF-&#x003BA;B signaling pathway in broilers, and explore whether fenugreek extract can replace antibiotics as a new feed additive and be applied to broiler production. Moreover, the study is helpful for finding out the appropriate concentration of fenugreek extract that is beneficial to the growth of broiler and the health of broiler production. It provides new ideas and methods for improving the growth of broiler and the health of broilers by means of nutritional regulation in production and also provides a reference for the research of FSE in improving the quality and health of chickens.</p></sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Experimental Materials and Diet Composition</title>
<p>The fenugreek extract used in the experiment contained 50% polysaccharides, 10% flavonoids, 15% saponins, 2% alkaloids and other ingredients, and was provided by Hunan Jinhan Pharmaceutical Co., Ltd. The fenugreek was extracted by water, concentrating the filtrate after two times of reflux extraction and then spray-drying into powder.</p></sec>
<sec>
<title>Animals and Experimental Design</title>
<p>The animal experiment was approved by the Institutional Animal Care and Use Committee of Hunan Agricultural University, Hunan, China.</p>
<p>In this study, a total of 420 1-day-old yellow feather broilers with similar body weight (BW)(55.30 &#x000B1; 0.10 g) were randomly allocated into seven treatments. Each treatment had six replicates, with 10 birds per replicate. Five concentrations of FSE experimental groups were added 50, 100, 200, 400, and 800 mg/kg FSE to the basal diet, respectively. The trial period lasted 63 days. The first 7 days were a pre-test period lasted for the broiler to adapt to the diets, and the formal trial period lasted for 56 days. According to the standard nutritional requirement of broilers (Agricultural industry standard of the people&#x00027;s Republic of China&#x02014;chicken breeding standard NY/T33-2004), the basic diet formula of the formal trial period was divided into two periods (1&#x02013;28, 29&#x02013;56 days). The composition and nutritional level of basic diet and premix were shown in <xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T2">2</xref>, respectively. The experiment was conducted by a 3-layer cage with natural ventilation, each cage was a replicate of 10 chickens, and the 6 replicates of each treatment were divided into two 1&#x02013;3 layers, which were evenly distributed in each position of the chicken house. Birds received 24 h of light until day 4; then, light duration was decreased to 18 h for the remainder of the trial. The temperature gradually decreased from 32&#x000B0;C on day 1 to 20&#x000B0;C on day 27, and the humidity was maintained at 50&#x02013;65%. The experimental chickens had free diets and water, and the experiment routine immunization and disinfection.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Composition and nutrient levels of basal diets (DM basis) %.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Ingredients</bold></th>
<th valign="top" align="center"><bold>1 to</bold></th>
<th valign="top" align="center"><bold>28 to</bold></th>
<th valign="top" align="center"><bold>Nutrient</bold></th>
<th valign="top" align="center"><bold>1 to</bold></th>
<th valign="top" align="center"><bold>28 to</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>28 days</bold></th>
<th valign="top" align="center"><bold>56 days</bold></th>
<th valign="top" align="center"><bold>levels<sup><bold>b)</bold></sup></bold></th>
<th valign="top" align="center"><bold>28 days</bold></th>
<th valign="top" align="center"><bold>56 days</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>of age</bold></th>
<th valign="top" align="center"><bold>of age</bold></th>
<th/>
<th valign="top" align="center"><bold>of age</bold></th>
<th valign="top" align="center"><bold>of age</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Corn</td>
<td valign="top" align="center">56.55</td>
<td valign="top" align="center">58.65</td>
<td valign="top" align="center">ME/(MJ/kg)</td>
<td valign="top" align="center">12.20</td>
<td valign="top" align="center">12.46</td>
</tr>
<tr>
<td valign="top" align="left">Soybean meal</td>
<td valign="top" align="center">36.10</td>
<td valign="top" align="center">33.40</td>
<td valign="top" align="center">CP</td>
<td valign="top" align="center">20.13</td>
<td valign="top" align="center">19.17</td>
</tr>
<tr>
<td valign="top" align="left">Soybean oil</td>
<td valign="top" align="center">3.00</td>
<td valign="top" align="center">3.50</td>
<td valign="top" align="center">Lys</td>
<td valign="top" align="center">1.01</td>
<td valign="top" align="center">0.97</td>
</tr>
<tr>
<td valign="top" align="left">CaHPO<sub>4</sub></td>
<td valign="top" align="center">1.80</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">Met</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">Limestone</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">Ca</td>
<td valign="top" align="center">1.09</td>
<td valign="top" align="center">1.11</td>
</tr>
<tr>
<td valign="top" align="left">NaCl</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">AP</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.53</td>
</tr>
<tr>
<td valign="top" align="left">Cholone chloride</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.15</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">DL-Met</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.10</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Premix<sup>a)</sup></td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.00</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">100.00</td>
<td valign="top" align="center">100.00</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a)</sup><italic> The premix same as <xref ref-type="table" rid="T2">Table 2</xref></italic>.</p>
<p><sup>b)</sup><italic> Nutrient levels were all calculated values</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Nutrient level of premix (provided per kg of diet).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Nutrient levels<sup><bold>2)</bold></sup></bold></th>
<th valign="top" align="center"><bold>Content</bold></th>
<th valign="top" align="center"><bold>Nutrient levels<sup><bold>2)</bold></sup></bold></th>
<th valign="top" align="center"><bold>Content</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Fe</td>
<td valign="top" align="center">90 mg</td>
<td valign="top" align="center">VB<sub>6</sub></td>
<td valign="top" align="center">1.5 mg</td>
</tr>
<tr>
<td valign="top" align="left">Mn</td>
<td valign="top" align="center">90 mg</td>
<td valign="top" align="center">VB<sub>12</sub></td>
<td valign="top" align="center">10 &#x003BC;g</td>
</tr>
<tr>
<td valign="top" align="left">Zn</td>
<td valign="top" align="center">50 mg</td>
<td valign="top" align="center">VA</td>
<td valign="top" align="center">5,000 IU</td>
</tr>
<tr>
<td valign="top" align="left">Cu</td>
<td valign="top" align="center">10 mg</td>
<td valign="top" align="center">VD</td>
<td valign="top" align="center">3,500 IU</td>
</tr>
<tr>
<td valign="top" align="left">Co</td>
<td valign="top" align="center">0.4 mg</td>
<td valign="top" align="center">VE</td>
<td valign="top" align="center">10 IU</td>
</tr>
<tr>
<td valign="top" align="left">I</td>
<td valign="top" align="center">0.4 mg</td>
<td valign="top" align="center">nicotinic acid</td>
<td valign="top" align="center">35 mg</td>
</tr>
<tr>
<td valign="top" align="left">Se</td>
<td valign="top" align="center">0.2 mg</td>
<td valign="top" align="center">folic acid</td>
<td valign="top" align="center">0.8 mg</td>
</tr>
<tr>
<td valign="top" align="left">VB<sub>2</sub></td>
<td valign="top" align="center">6.0 mg</td>
<td valign="top" align="center">pantothenic acid</td>
<td valign="top" align="center">12 mg</td>
</tr>
<tr>
<td valign="top" align="left">VB<sub>1</sub></td>
<td valign="top" align="center">1.5 mg</td>
<td valign="top" align="center">biotin</td>
<td valign="top" align="center">0.8 mg</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>2)</sup><italic> Nutrient levels were all calculated values</italic>.</p>
</table-wrap-foot>
</table-wrap></sec>
<sec>
<title>Sample Collection and Analysis</title>
<sec>
<title>Growth Performance</title>
<p>At day 56 of the experiment, broilers were weighed on an empty stomach (fasting for 12 h). The average daily gain (ADG), average daily feed intake (ADFI) and feed conversion ratio (Feed/Gain, F/G) of the birds were determined.</p>
<disp-formula id="E1"><mml:math id="M1"><mml:mtable columnalign="left"><mml:mtr><mml:mtd><mml:mtext class="textrm" mathvariant="normal">Average&#x000A0;daily&#x000A0;feed&#x000A0;intake&#x000A0;(ADFI)</mml:mtext></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mtext>&#x000A0;&#x000A0;&#x000A0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext class="textrm" mathvariant="normal">total feed intake</mml:mtext><mml:mo>/</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext class="textrm" mathvariant="normal">test days</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mtext class="textrm" mathvariant="normal">total&#x000A0;number&#x000A0;of&#x000A0;test&#x000A0;broilers</mml:mtext></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<disp-formula id="E2"><mml:math id="M2"><mml:mtable columnalign="left"><mml:mtr><mml:mtd><mml:mtext>&#x000A0;&#x000A0;</mml:mtext><mml:mtext class="textrm" mathvariant="normal">Average&#x000A0;daily&#x000A0;gain&#x000A0;(ADG)</mml:mtext></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mtext>&#x000A0;&#x000A0;&#x000A0;</mml:mtext><mml:mo>=</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext class="textrm" mathvariant="normal">final&#x000A0;body&#x000A0;weight</mml:mtext><mml:mo>-</mml:mo><mml:mtext class="textrm" mathvariant="normal">initial&#x000A0;body&#x000A0;weight</mml:mtext></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>/</mml:mo><mml:mtext class="textrm" mathvariant="normal">test&#x000A0;days</mml:mtext></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<disp-formula id="E3"><mml:math id="M3"><mml:mtable columnalign="left"><mml:mtr><mml:mtd><mml:mtext>&#x000A0;&#x000A0;</mml:mtext><mml:mtext class="textrm" mathvariant="normal">Feed&#x000A0;to&#x000A0;gain&#x000A0;ratio&#x000A0;(F/G)</mml:mtext></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mtext>&#x000A0;&#x000A0;&#x000A0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext class="textrm" mathvariant="normal">average&#x000A0;daily&#x000A0;feed&#x000A0;intake&#x000A0;/&#x000A0;average&#x000A0;daily&#x000A0;gain</mml:mtext></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula></sec>
<sec>
<title>Immune Organ Indexes</title>
<p>At day 56 of the experiment, healthy broilers weighing close to the average weight from each repetition were randomly selected and weighed after 12 h feed withdrawal and immediately slaughtered after exsanguination. The thymus, spleen and bursa of Fabricius were separated after dissection and weighed. Immune organ indexes were calculated according to the change of the immune organ weight. The spleen, thymus, and bursa of Fabricius indexes were calculated.</p>
<disp-formula id="E4"><mml:math id="M4"><mml:mtable columnalign="left"><mml:mtr><mml:mtd><mml:mtext class="textrm" mathvariant="normal">Immune&#x000A0;organ&#x000A0;indexes&#x000A0;(%)</mml:mtext></mml:mtd><mml:mtd><mml:mo>=</mml:mo></mml:mtd><mml:mtd><mml:mn>100</mml:mn><mml:mo>&#x000D7;</mml:mo><mml:mtext class="textrm" mathvariant="normal">Immune&#x000A0;organ&#x000A0;weight&#x000A0;(g)</mml:mtext></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>/</mml:mo><mml:mtext class="textrm" mathvariant="normal">body&#x000A0;weight&#x000A0;(g)</mml:mtext></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
</sec>
<sec>
<title>Serum Biochemical Indexes</title>
<p>Blood samples (20 mL) were taken from the wing vein and centrifuged at 3,500 r/min for 10 min at 4&#x000B0;C after standing at 37&#x000B0;C for 1 h to prepare serum. The separated serum was frozen at &#x02212;20&#x000B0;C pending analysis. The content of total protein (TP), albumin (ALB), triglycerides (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), glucose (GLU), alanine transaminase (ALT), aspartate transaminase (AST), urea nitrogen (BUN) and creatinine (CREA) were measured with commercial kits (Jiancheng Bioengineering Institute) using an Mindray BS200 automatic biochemical analyzer (<xref ref-type="bibr" rid="B12">12</xref>).</p></sec>
<sec>
<title>Serum Immune Indexes</title>
<p>Individual serum samples were detected for the levels of serum immunoglobulin (IgA, IgG, IgM) and cytokines (IL-1, IL-2, IL-6, IL-10, INF-&#x003B3;, and TNF-&#x003B1;) by ELISA using test kits purchased from Jiangsu Yutong Biological Technology Co., Ltd. (Yancheng, China), following the manufacturer&#x00027;s instructions (<xref ref-type="bibr" rid="B13">13</xref>).</p></sec>
<sec>
<title>Quantitative Real-Time PCR Analysis</title>
<p>The mRNA expression of nuclear factor-&#x003BA;B (NF-&#x003BA;B), toll-like receptor 4 (TLR4), myeloid differentiation factor 88 (MyD88), interferon-&#x003B3; (IFN-&#x003B3;), interleukin-1 (IL-1), interleukin-10 (IL-10), and TNF receptor associated factor 6 (TRAF6) in the broilers&#x00027; spleen was quantified by quantitative real-time PCR. GAPDH was used as the reference gene to normalize the gene expression data. According to the gene sequence retrieved by Gene in NCBI, the primers were designed and synthesized by Shenggong Bioengineering (Shanghai) Co., Ltd. The sequence is shown in <xref ref-type="table" rid="T3">Table 3</xref>.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Primer sequences for quantitative real-time PCR analysis.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Gene</bold></th>
<th valign="top" align="center"><bold>Primer Sequence (5<sup><bold>&#x02032;</bold></sup>&#x02013;3<sup><bold>&#x02032;</bold></sup>)</bold></th>
<th valign="top" align="center"><bold>Product/bp</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">GAPDH-F</td>
<td valign="top" align="center">GTGCTGGTAGAGGGATGCTTATGC</td>
<td valign="top" align="center">116</td>
</tr>
<tr>
<td valign="top" align="left">GAPDH-R</td>
<td valign="top" align="center">CGGCAGGTCAGGTCAACAACAG</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">TLR4-F</td>
<td valign="top" align="center">GCCATCCCAACCCAACCACAG</td>
<td valign="top" align="center">121</td>
</tr>
<tr>
<td valign="top" align="left">TLR4-R</td>
<td valign="top" align="center">CCACTGAGCAGCACCAATGAGTAG</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">MyD88-F</td>
<td valign="top" align="center">CCACAACACCACGGACACAGC</td>
<td valign="top" align="center">118</td>
</tr>
<tr>
<td valign="top" align="left">MyD88-R</td>
<td valign="top" align="center">CAGCAGCCAGTCAAGCAGAAGG</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">TRAF6-F</td>
<td valign="top" align="center">TAGCACGCAGCCTTGAGTTAGTTG</td>
<td valign="top" align="center">117</td>
</tr>
<tr>
<td valign="top" align="left">TRAF6-R</td>
<td valign="top" align="center">GCATCAGCAGTGGCAGAAGTAGAG</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">NF-&#x003BA;B-F</td>
<td valign="top" align="center">CAGCCCATCTATGACAACCG</td>
<td valign="top" align="center">151</td>
</tr>
<tr>
<td valign="top" align="left">NF-&#x003BA;B &#x02013;R</td>
<td valign="top" align="center">CAGCCCAGAAACGAACCTC</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">IFN-&#x003B3;-F</td>
<td valign="top" align="center">CAAGCTCGTGCCTGGTTCCTG</td>
<td valign="top" align="center">81</td>
</tr>
<tr>
<td valign="top" align="left">IFN-&#x003B3;-R</td>
<td valign="top" align="center">CAAGGGTGGGAGGTGCGTTTG</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">IL-1-F</td>
<td valign="top" align="center">ACCCGTTGACCCGTCCCTTC</td>
<td valign="top" align="center">124</td>
</tr>
<tr>
<td valign="top" align="left">IL-1-R</td>
<td valign="top" align="center">CTTGTAGCCCTTGATGCCCAGTG</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">IL-10-F</td>
<td valign="top" align="center">GTCGCTCCTTCTCCTTCTGTTTCG</td>
<td valign="top" align="center">144</td>
</tr>
<tr>
<td valign="top" align="left">IL-10-R</td>
<td valign="top" align="center">TGTTGTCTCGCAGCAAGCAGTG</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap></sec></sec>
<sec>
<title>Statistical Analysis</title>
<p>The statistical methods were used to analyze the data in <xref ref-type="table" rid="T4">Tables 4&#x02013;8</xref>; <xref ref-type="fig" rid="F1">Figure 1</xref>. All of the data were expressed as the mean &#x000B1; standard deviation (SD) and were analyzed statistically by one-way ANOVA and Duncan multiple comparison of variance using SPSS 21.0.The linear and quadratic effects of dietary FSE supplementation levels were determined by polynomial contrasts. The differences were considered to be significant at <italic>P</italic> &#x02264; 0.05.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Effect of fenugreek seed extract on growth performance of broilers<sup>1</sup>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Items</bold></th>
<th valign="top" align="center"><bold>Basic</bold></th>
<th valign="top" align="center"><bold>Bacitracin</bold></th>
<th valign="top" align="center" colspan="5"><bold>FSE(mg/kg)</bold></th>
<th valign="top" align="center" colspan="3"><italic><bold>P</bold></italic><bold>-value</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>fodder</bold></th>
<th valign="top" align="center"><bold>zinc</bold></th>
<th/>
</tr>
<tr>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>50</bold></th>
<th valign="top" align="center"><bold>100</bold></th>
<th valign="top" align="center"><bold>200</bold></th>
<th valign="top" align="center"><bold>400</bold></th>
<th valign="top" align="center"><bold>800</bold></th>
<th valign="top" align="center"><bold>ANOVA</bold></th>
<th valign="top" align="center"><bold>Linear</bold></th>
<th valign="top" align="center"><bold>Quadratic</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Initial BW (g)</td>
<td valign="top" align="center">55.25 &#x000B1; 2.55</td>
<td valign="top" align="center">55.38 &#x000B1; 2.59</td>
<td valign="top" align="center">55.30 &#x000B1; 2.53</td>
<td valign="top" align="center">55.30 &#x000B1; 2.59</td>
<td valign="top" align="center">55.32 &#x000B1; 2.57</td>
<td valign="top" align="center">55.35 &#x000B1; 2.60</td>
<td valign="top" align="center">55.25 &#x000B1; 2.51</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">Final BW (g)</td>
<td valign="top" align="center">1083.09 &#x000B1; 43.64<sup>c</sup></td>
<td valign="top" align="center">1080.9 &#x000B1; 28.60<sup>c</sup></td>
<td valign="top" align="center">1199.71 &#x000B1; 62.52<sup>a</sup></td>
<td valign="top" align="center">1161.88 &#x000B1; 50.66<sup>a</sup></td>
<td valign="top" align="center">1143.76 &#x000B1; 42.97<sup>ab</sup></td>
<td valign="top" align="center">1116.29 &#x000B1; 26.90<sup>bc</sup></td>
<td valign="top" align="center">1202.44 &#x000B1; 65.87<sup>a</sup></td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">ADFI (g/d)</td>
<td valign="top" align="center">48.27 &#x000B1; 2.26</td>
<td valign="top" align="center">51.18 &#x000B1; 2.19</td>
<td valign="top" align="center">50.29 &#x000B1; 2.12</td>
<td valign="top" align="center">46.66 &#x000B1; 4.79</td>
<td valign="top" align="center">48.85 &#x000B1; 3.95</td>
<td valign="top" align="center">47.21 &#x000B1; 1.73</td>
<td valign="top" align="center">50.24 &#x000B1; 3.78</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">0.72</td>
</tr>
<tr>
<td valign="top" align="left">ADG (g)</td>
<td valign="top" align="center">20.58 &#x000B1; 0.85<sup>c</sup></td>
<td valign="top" align="center">20.58 &#x000B1; 0.90<sup>c</sup></td>
<td valign="top" align="center">22.84 &#x000B1; 1.19<sup>ab</sup></td>
<td valign="top" align="center">22.05 &#x000B1; 1.44<sup>abc</sup></td>
<td valign="top" align="center">21.84 &#x000B1; 1.24<sup>abc</sup></td>
<td valign="top" align="center">21.51 &#x000B1; 0.69<sup>bc</sup></td>
<td valign="top" align="center">23.13 &#x000B1; 1.60<sup>a</sup></td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">F/G</td>
<td valign="top" align="center">2.35 &#x000B1; 0.05<sup>b</sup></td>
<td valign="top" align="center">2.49 &#x000B1; 0.01<sup>a</sup></td>
<td valign="top" align="center">2.20 &#x000B1; 0.09<sup>cd</sup></td>
<td valign="top" align="center">2.11 &#x000B1; 0.11<sup>d</sup></td>
<td valign="top" align="center">2.24 &#x000B1; 0.10<sup>c</sup></td>
<td valign="top" align="center">2.19 &#x000B1; 0.04<sup>cd</sup></td>
<td valign="top" align="center">2.17 &#x000B1; 0.04<sup>cd</sup></td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">&#x0003C;0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Different lowercase letters with the same column date meant significant difference (P &#x02264; 0.05)</italic>.</p>
<p><sup>1</sup><italic> Each value represents the mean of 6 replicate pens</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Effect of fenugreek seed extract on immune organ index of broilers (%)<sup>1</sup>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Items</bold></th>
<th valign="top" align="center"><bold>Basic fodder</bold></th>
<th valign="top" align="center"><bold>Bacitracin zinc</bold></th>
<th valign="top" align="center" colspan="5"><bold>FSE(mg/kg)</bold></th>
<th valign="top" align="center" colspan="3"><italic><bold>P</bold></italic><bold>-value</bold></th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>50</bold></th>
<th valign="top" align="center"><bold>100</bold></th>
<th valign="top" align="center"><bold>200</bold></th>
<th valign="top" align="center"><bold>400</bold></th>
<th valign="top" align="center"><bold>800</bold></th>
<th valign="top" align="center"><bold>ANOVA</bold></th>
<th valign="top" align="center"><bold>Linear</bold></th>
<th valign="top" align="center"><bold>Quadratic</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Thymus index</td>
<td valign="top" align="center">1.31 &#x000B1; 0.80</td>
<td valign="top" align="center">1.24 &#x000B1; 0.40</td>
<td valign="top" align="center">0.94 &#x000B1; 0.54</td>
<td valign="top" align="center">1.35 &#x000B1; 0.66</td>
<td valign="top" align="center">1.09 &#x000B1; 0.85</td>
<td valign="top" align="center">0.74 &#x000B1; 0.43</td>
<td valign="top" align="center">0.65 &#x000B1; 0.54</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">Spleen index</td>
<td valign="top" align="center">1.82 &#x000B1; 0.19</td>
<td valign="top" align="center">1.70 &#x000B1; 0.29</td>
<td valign="top" align="center">1.98 &#x000B1; 0.27</td>
<td valign="top" align="center">1.82 &#x000B1; 0.23</td>
<td valign="top" align="center">1.93 &#x000B1; 0.55</td>
<td valign="top" align="center">1.78 &#x000B1; 0.43</td>
<td valign="top" align="center">2.05 &#x000B1; 0.51</td>
<td valign="top" align="center">0.73</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.61</td>
</tr>
<tr>
<td valign="top" align="left">Bursa of Fabricius index</td>
<td valign="top" align="center">1.26 &#x000B1; 0.71</td>
<td valign="top" align="center">1.39 &#x000B1; 0.83</td>
<td valign="top" align="center">1.04 &#x000B1; 0.83</td>
<td valign="top" align="center">1.64 &#x000B1; 0.60</td>
<td valign="top" align="center">1.37 &#x000B1; 0.74</td>
<td valign="top" align="center">1.35 &#x000B1; 0.42</td>
<td valign="top" align="center">0.88 &#x000B1; 0.17</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.99</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Different lowercase letters with the same column date meant significant difference (P &#x02264; 0.05)</italic>.</p>
<p><sup>1</sup><italic> Each value represents the mean of 6 replicate pens</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Effects of fenugreek seed extract on serum biochemistry in broilers<sup>1</sup>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Items</bold></th>
<th valign="top" align="center"><bold>Basic fodder</bold></th>
<th valign="top" align="center"><bold>Bacitracin zinc</bold></th>
<th valign="top" align="center" colspan="5"><bold>FSE(mg/kg)</bold></th>
<th valign="top" align="center" colspan="3"><italic><bold>P</bold></italic><bold>-value</bold></th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>50</bold></th>
<th valign="top" align="center"><bold>100</bold></th>
<th valign="top" align="center"><bold>200</bold></th>
<th valign="top" align="center"><bold>400</bold></th>
<th valign="top" align="center"><bold>800</bold></th>
<th valign="top" align="center"><bold>ANOVA</bold></th>
<th valign="top" align="center"><bold>Linear</bold></th>
<th valign="top" align="center"><bold>Quadratic</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">TP (g/L)</td>
<td valign="top" align="center">35.89 &#x000B1; 2.06</td>
<td valign="top" align="center">34.65 &#x000B1; 4.46</td>
<td valign="top" align="center">35.71 &#x000B1; 2.39</td>
<td valign="top" align="center">36.32 &#x000B1; 1.97</td>
<td valign="top" align="center">35.37 &#x000B1; 2.40</td>
<td valign="top" align="center">36.13 &#x000B1; 3.71</td>
<td valign="top" align="center">32.09 &#x000B1; 5.92</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.61</td>
</tr>
<tr>
<td valign="top" align="left">ALB (g/L)</td>
<td valign="top" align="center">11.51 &#x000B1; 1.00</td>
<td valign="top" align="center">11.11 &#x000B1; 1.07</td>
<td valign="top" align="center">10.51 &#x000B1; 1.50</td>
<td valign="top" align="center">10.65 &#x000B1; 0.86</td>
<td valign="top" align="center">10.97 &#x000B1; 0.52</td>
<td valign="top" align="center">10.86 &#x000B1; 1.12</td>
<td valign="top" align="center">10.87 &#x000B1; 0.65</td>
<td valign="top" align="center">0.73</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.48</td>
</tr>
<tr>
<td valign="top" align="left">TG (mmol/L)</td>
<td valign="top" align="center">0.49 &#x000B1; 0.16</td>
<td valign="top" align="center">0.33 &#x000B1; 0.21</td>
<td valign="top" align="center">0.35 &#x000B1; 0.14</td>
<td valign="top" align="center">0.31 &#x000B1; 0.14</td>
<td valign="top" align="center">0.40 &#x000B1; 0.21</td>
<td valign="top" align="center">0.32 &#x000B1; 0.16</td>
<td valign="top" align="center">0.24 &#x000B1; 0.13</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" align="left">TC (mmol/L)</td>
<td valign="top" align="center">3.95 &#x000B1; 0.49<sup>a</sup></td>
<td valign="top" align="center">3.60 &#x000B1; 0.39<sup>ab</sup></td>
<td valign="top" align="center">3.36 &#x000B1; 0.29<sup>b</sup></td>
<td valign="top" align="center">3.42 &#x000B1; 0.23<sup>b</sup></td>
<td valign="top" align="center">3.66 &#x000B1; 0.24<sup>ab</sup></td>
<td valign="top" align="center">3.33 &#x000B1; 0.40<sup>b</sup></td>
<td valign="top" align="center">3.46 &#x000B1; 0.11<sup>b</sup></td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">HDL-C (U/g)</td>
<td valign="top" align="center">2.35 &#x000B1; 0.33</td>
<td valign="top" align="center">2.26 &#x000B1; 0.35</td>
<td valign="top" align="center">2.40 &#x000B1; 0.22</td>
<td valign="top" align="center">2.41 &#x000B1; 0.13</td>
<td valign="top" align="center">2.30 &#x000B1; 0.25</td>
<td valign="top" align="center">2.04 &#x000B1; 0.33</td>
<td valign="top" align="center">2.12 &#x000B1; 0.32</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">LDL-C (U/g)</td>
<td valign="top" align="center">1.15 &#x000B1; 0.36<sup>a</sup></td>
<td valign="top" align="center">0.82 &#x000B1; 0.25<sup>bc</sup></td>
<td valign="top" align="center">0.60 &#x000B1; 0.05<sup>c</sup></td>
<td valign="top" align="center">0.72 &#x000B1; 0.17<sup>bc</sup></td>
<td valign="top" align="center">1.01 &#x000B1; 0.19<sup>ab</sup></td>
<td valign="top" align="center">1.00 &#x000B1; 0.27<sup>ab</sup></td>
<td valign="top" align="center">0.80 &#x000B1; 0.25<sup>bc</sup></td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">GLU (mmol/L)</td>
<td valign="top" align="center">11.53 &#x000B1; 0.65<sup>b</sup></td>
<td valign="top" align="center">12.63 &#x000B1; 1.02<sup>ab</sup></td>
<td valign="top" align="center">12.32 &#x000B1; 0.73<sup>ab</sup></td>
<td valign="top" align="center">12.57 &#x000B1; 1.12 <sup>ab</sup></td>
<td valign="top" align="center">13.23 &#x000B1; 1.31<sup>a</sup></td>
<td valign="top" align="center">12.70 &#x000B1; 0.99<sup>ab</sup></td>
<td valign="top" align="center">13.61 &#x000B1; 0.78<sup>a</sup></td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">12.12 &#x000B1; 2.31</td>
<td valign="top" align="center">14.41 &#x000B1; 3.91</td>
<td valign="top" align="center">12.86 &#x000B1; 3.65</td>
<td valign="top" align="center">13.05 &#x000B1; 2.41</td>
<td valign="top" align="center">14.97 &#x000B1; 9.92</td>
<td valign="top" align="center">11.88 &#x000B1; 2.45</td>
<td valign="top" align="center">12.44 &#x000B1; 3.37</td>
<td valign="top" align="center">0.58</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">203.25 &#x000B1; 32.32</td>
<td valign="top" align="center">237.28 &#x000B1; 32.96</td>
<td valign="top" align="center">231.07 &#x000B1; 20.83</td>
<td valign="top" align="center">233.18 &#x000B1; 24.41</td>
<td valign="top" align="center">238.00 &#x000B1; 29.99</td>
<td valign="top" align="center">226.59 &#x000B1; 10.11</td>
<td valign="top" align="center">231.41 &#x000B1; 17.23</td>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">0.91</td>
</tr>
<tr>
<td valign="top" align="left">BUN (mmol/L)</td>
<td valign="top" align="center">0.28 &#x000B1; 0.10</td>
<td valign="top" align="center">0.46 &#x000B1; 1.40</td>
<td valign="top" align="center">0.39 &#x000B1; 0.20</td>
<td valign="top" align="center">0.43 &#x000B1; 0.18</td>
<td valign="top" align="center">0.47 &#x000B1; 0.27</td>
<td valign="top" align="center">0.61 &#x000B1; 0.11</td>
<td valign="top" align="center">0.38 &#x000B1; 0.25</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left">CREA (umol/L)</td>
<td valign="top" align="center">36.34 &#x000B1; 25.38</td>
<td valign="top" align="center">18.73 &#x000B1; 13.32</td>
<td valign="top" align="center">22.71 &#x000B1; 8.88</td>
<td valign="top" align="center">26.69 &#x000B1; 15.93</td>
<td valign="top" align="center">19.01 &#x000B1; 5.98</td>
<td valign="top" align="center">15.56 &#x000B1; 8.49</td>
<td valign="top" align="center">21.70 &#x000B1; 12.37</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.47</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Different lowercase letters with the same column date meant significant difference (P &#x02264; 0.05)</italic>.</p>
<p><sup>1</sup><italic> Each value represents the mean of 6 replicate pens</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>Effects of fenugreek seed extract on serum immunoglobulin in broilers<sup>1</sup>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Group</bold></th>
<th valign="top" align="center"><bold>IgG</bold></th>
<th valign="top" align="center"><bold>IgM</bold></th>
<th valign="top" align="center"><bold>IgA</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Basic fodder</td>
<td valign="top" align="center">818.25 &#x000B1; 283.79<sup>bc</sup></td>
<td valign="top" align="center">514.34 &#x000B1; 62.91<sup>cd</sup></td>
<td valign="top" align="center">187.67 &#x000B1; 28.19<sup>c</sup></td>
</tr>
<tr>
<td valign="top" align="left">Bacitracin zinc</td>
<td valign="top" align="center">622.81 &#x000B1; 247.95<sup>c</sup></td>
<td valign="top" align="center">499.11 &#x000B1; 90.44<sup>d</sup></td>
<td valign="top" align="center">194.39 &#x000B1; 24.62<sup>b</sup></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;50</td>
<td valign="top" align="center">900.62 &#x000B1; 302.23<sup>bc</sup></td>
<td valign="top" align="center">675.09 &#x000B1; 63.65<sup>ab</sup></td>
<td valign="top" align="center">233.52 &#x000B1; 41.42<sup>b</sup></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;100</td>
<td valign="top" align="center">1322.32 &#x000B1; 282.14<sup>a</sup></td>
<td valign="top" align="center">728.07 &#x000B1; 93.87<sup>a</sup></td>
<td valign="top" align="center">283.70 &#x000B1; 20.15<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;200</td>
<td valign="top" align="center">1298.68 &#x000B1; 158.08<sup>a</sup></td>
<td valign="top" align="center">725.94 &#x000B1; 78.05<sup>a</sup></td>
<td valign="top" align="center">246.45 &#x000B1; 35.73<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">FSE(mg/kg)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;400</td>
<td valign="top" align="center">913.59 &#x000B1; 279.98<sup>bc</sup></td>
<td valign="top" align="center">610.40 &#x000B1; 90.21<sup>ab</sup></td>
<td valign="top" align="center">236.18 &#x000B1; 23.81<sup>b</sup></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;800</td>
<td valign="top" align="center">1081.69 &#x000B1; 252.54<sup>ab</sup></td>
<td valign="top" align="center">588.72 &#x000B1; 72.17<sup>bc</sup></td>
<td valign="top" align="center">233.92 &#x000B1; 36.79<sup>b</sup></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;ANOVA</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">&#x0003C;0.01</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Linear</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Quadratic</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">&#x0003C;0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Different lowercase letters with the same column date meant significant difference (P  &#x02264;  0.05)</italic>.</p>
<p><sup>1</sup><italic> Each value represents the mean of 6 replicate pens</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T8">
<label>Table 8</label>
<caption><p>Effect of fenugreek seed extract on serum cytokine content in broilers<sup>1</sup>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Items</bold></th>
<th valign="top" align="center"><bold>Basic fodder</bold></th>
<th valign="top" align="center"><bold>Bacitracin zinc</bold></th>
<th valign="top" align="center" colspan="5"><bold>FSE(mg/kg)</bold></th>
<th valign="top" align="center" colspan="3"><italic><bold>P</bold></italic><bold>-value</bold></th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>50</bold></th>
<th valign="top" align="center"><bold>100</bold></th>
<th valign="top" align="center"><bold>200</bold></th>
<th valign="top" align="center"><bold>400</bold></th>
<th valign="top" align="center"><bold>800</bold></th>
<th valign="top" align="center"><bold>ANOVA</bold></th>
<th valign="top" align="center"><bold>Linear</bold></th>
<th valign="top" align="center"><bold>Quadratic</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">IL-1</td>
<td valign="top" align="center">165.13 &#x000B1; 31.55<sup>ab</sup></td>
<td valign="top" align="center">130.40 &#x000B1; 11.92<sup>b</sup></td>
<td valign="top" align="center">165.86 &#x000B1; 34.18<sup>ab</sup></td>
<td valign="top" align="center">157.43 &#x000B1; 44.24<sup>ab</sup></td>
<td valign="top" align="center">194.5 &#x000B1; 30.33<sup>a</sup></td>
<td valign="top" align="center">180.05 &#x000B1; 30.87<sup>a</sup></td>
<td valign="top" align="center">150.82 &#x000B1; 34.84<sup>ab</sup></td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left">IL-2</td>
<td valign="top" align="center">219.35 &#x000B1; 20.22</td>
<td valign="top" align="center">233.53 &#x000B1; 40.68</td>
<td valign="top" align="center">228.48 &#x000B1; 20.48</td>
<td valign="top" align="center">233.12 &#x000B1; 23.16</td>
<td valign="top" align="center">230.87 &#x000B1; 35.16</td>
<td valign="top" align="center">211.87 &#x000B1; 34.58</td>
<td valign="top" align="center">224.67 &#x000B1; 38.22</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.70</td>
</tr>
<tr>
<td valign="top" align="left">IL-6</td>
<td valign="top" align="center">19.25 &#x000B1; 4.00</td>
<td valign="top" align="center">18.77 &#x000B1; 4.06</td>
<td valign="top" align="center">16.36 &#x000B1; 3.15</td>
<td valign="top" align="center">14.56 &#x000B1; 2.36</td>
<td valign="top" align="center">16.75 &#x000B1; 4.45</td>
<td valign="top" align="center">14.76 &#x000B1; 4.91</td>
<td valign="top" align="center">18.54 &#x000B1; 4.57</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">IL-10</td>
<td valign="top" align="center">53.88 &#x000B1; 5.33<sup>ab</sup></td>
<td valign="top" align="center">52.01 &#x000B1; 4.95<sup>b</sup></td>
<td valign="top" align="center">50.63 &#x000B1; 3.85<sup>b</sup></td>
<td valign="top" align="center">57.28 &#x000B1; 5.88<sup>ab</sup></td>
<td valign="top" align="center">57.84 &#x000B1; 4.68<sup>ab</sup></td>
<td valign="top" align="center">59.51 &#x000B1; 6.24<sup>a</sup></td>
<td valign="top" align="center">52.46 &#x000B1; 4.75<sup>b</sup></td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left">IFN-&#x003B3;</td>
<td valign="top" align="center">50.20 &#x000B1; 9.89<sup>bc</sup></td>
<td valign="top" align="center">45.52 &#x000B1; 8.33<sup>c</sup></td>
<td valign="top" align="center">53.67 &#x000B1; 8.62<sup>bc</sup></td>
<td valign="top" align="center">62.23 &#x000B1; 6.90<sup>a</sup></td>
<td valign="top" align="center">59.50 &#x000B1; 7.19<sup>ab</sup></td>
<td valign="top" align="center">51.92 &#x000B1; 3.88<sup>bc</sup></td>
<td valign="top" align="center">55.58 &#x000B1; 6.37<sup>bc</sup></td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">TNF-&#x003B1;</td>
<td valign="top" align="center">47.30 &#x000B1; 4.16</td>
<td valign="top" align="center">46.35 &#x000B1; 7.41</td>
<td valign="top" align="center">40.17 &#x000B1; 7.62</td>
<td valign="top" align="center">38.01 &#x000B1; 6.79</td>
<td valign="top" align="center">36.67 &#x000B1; 7.68</td>
<td valign="top" align="center">43.31 &#x000B1; 8.73</td>
<td valign="top" align="center">48.99 &#x000B1; 14.39</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Different lowercase letters with the same column date meant significant difference (P &#x02264; 0.05)</italic>.</p>
<p><sup>1</sup><italic> Each value represents the mean of 6 replicate pens</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Effects of fenugreek seed extract on gene expression of TLR4/MyD88/NF-&#x003BA;B signaling pathway in spleen of broilers.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-09-882754-g0001.tif"/>
</fig></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Growth Performance</title>
<p>As shown in <xref ref-type="table" rid="T4">Table 4</xref>, dietary FSE levels did not significantly affect ADFI (<italic>P</italic> &#x0003E; 0.05). The ADG linearly and quadratically increased (<italic>P</italic> &#x0003C; 0.01) and F/G decreased linearly and quadratically (<italic>P</italic> &#x0003C; 0.01) with increasing FSE supplementation in broilers. The ADG of 50 and 800 mg/kg FSE groups was significantly higher than that of the basic fodder group and bacitracin zinc group (<italic>P</italic> &#x0003C; 0.01). The F/G of 50, 100, 200, 400, 800 mg/kg FSE groups was significantly lower than that of the basic fodder group and bacitracin zinc group (<italic>P</italic> &#x0003C; 0.01).</p></sec>
<sec>
<title>Immune Organ Indexes</title>
<p>As shown in <xref ref-type="table" rid="T5">Table 5</xref>, detary FSE levels did not significantly affect spleen index and bursa of Fabricius index (<italic>P</italic> &#x0003E; 0.05), but the thymus index decreased linearly (<italic>P</italic> &#x0003C; 0.05) with increasing FSE supplementation in broilers.</p>
</sec>
<sec>
<title>Serum Biochemical Indexes</title>
<p>As shown in <xref ref-type="table" rid="T6">Table 6</xref>, dietary FSE levels did not significantly affect the serum TP,ALB,TG,HDL-C,ALT,AST,BUN,CREA contents (<italic>P</italic> &#x0003E; 0.05). The serum TC content linearly and quadratically decreased with increasing FSE supplementation in broilers (<italic>P</italic> &#x0003C; 0.05). The serum TC content of 50, 100, 400, and 800 mg/kg FSE groups was significantly lower than that of the basic fodder group (<italic>P</italic> &#x0003C; 0.05), and no significant difference from the bacitracin zinc group (<italic>P</italic> &#x0003E; 0.05). The serum LDL-C content of 50, 100, and 800 mg/kg FSE groups was significantly lower than that of the basic fodder group (<italic>P</italic> &#x0003C; 0.05), and no significant difference compared with the bacitracin zinc group (<italic>P</italic> &#x0003E; 0.05). The serum GLU content of 200 and 800 mg/kg FSE groups was significantly higher than that of the basic fodder group (<italic>P</italic> &#x0003C; 0.05).</p>
</sec>
<sec>
<title>Serum Immunoglobulin</title>
<p>As shown in <xref ref-type="table" rid="T7">Table 7</xref>, the serum IgG, IgM, IgA contents linearly and quadratically increased with increasing FSE supplementation in broilers (<italic>P</italic> &#x0003C; 0.05). The serum IgG content of 100 and 200 mg/kg FSE groups was significantly higher than that of the basic fodder group and bacitracin zinc group (<italic>P</italic> &#x0003C; 0.05). The serum IgG content of 800 mg/kg FSE group was significantly higher than that of the bacitracin zinc group (<italic>P</italic> &#x0003C; 0.05), but no significant difference from the basic fodder group (<italic>P</italic> &#x0003E; 0.05). The serum IgM content of 50, 100, 200, and 400 mg/kg FSE groups was significantly higher than that the basic fodder group and bacitracin zinc group (<italic>P</italic> &#x0003C; 0.05). The serum IgM content of 800 mg/kg FSE group was significantly higher than that of bacitracin zinc group (<italic>P</italic> &#x0003C; 0.05). The serum IgA content of 50, 100, 200, 400, and 800 mg/kg FSE groups was significantly higher than that of the basic fodder group (<italic>P</italic> &#x0003C; 0.05). The serum IgA content of 100 and 200 mg/kg FSE groups was significantly higher than that of the bacitracin zinc group (<italic>P</italic> &#x0003C; 0.05).</p>
</sec>
<sec>
<title>Serum Cytokine</title>
<p>As shown in <xref ref-type="table" rid="T8">Table 8</xref>, there was no significant difference in the serum IL-2, IL-6, TNF-&#x003B1; content in each group (<italic>P</italic> &#x0003E; 0.05). Contrasted with the bacitracin zinc group, the serum IL-1 content of 200 and 400 mg/kg FSE groups was significantly increased (<italic>P</italic> = 0.05), but not significantly different from the basic fodder group (<italic>P</italic> &#x0003E; 0.05). The serum IL-10 content of 50, 100, 200, and 800 mg/kg FSE groups was not significantly different between that the basic fodder group and bacitracin zinc group (<italic>P</italic> &#x0003E; 0.05). The serum IL-10 content of 400 mg/kg FSE group was significantly higher than that of the bacitracin zinc group (<italic>P</italic> &#x0003C; 0.05), but not significantly different from the basic fodder group (<italic>P</italic> &#x0003E; 0.05). The serum IFN-&#x003B3; content quadratically increased with increasing FSE supplementation in broilers (<italic>P</italic> &#x0003C; 0.05). The serum TNF-&#x003B1; content quadratically decreased with increasing FSE supplementation in broilers (<italic>P</italic> &#x0003C; 0.05). The serum IFN-&#x003B3; content of 50, 400, and 800 mg/kg FSE groups was not significantly different compared with the basic fodder group and bacitracin zinc group (<italic>P</italic> &#x0003E; 0.05). The serum IFN-&#x003B3; content of 100 and 200 mg/kg FSE groups was significantly higher than that of the bacitracin zinc group (<italic>P</italic> &#x0003C; 0.05). The serum IFN-&#x003B3; content of 100 mg/kg FSE group was significantly higher than that of the basic fodder group (<italic>P</italic> &#x0003C; 0.05).</p>
</sec>
<sec>
<title>The MRNA Expression of TLR4/MyD88/NF-&#x003BA;B Signaling Pathways</title>
<p>As shown in <xref ref-type="fig" rid="F1">Figure 1</xref>, there were no significant differences in the expression levels of TLR4,TRAF6,IFN-&#x003B3;, IL-1, and IL-10 mRNA in the spleen TLR4/MyD88/ NF-&#x003BA;B signaling pathway of each group (<italic>P</italic> &#x0003E; 0.05). The expression of MyD88 mRNA in the spleen of 50, 400, and 800 mg/kg FSE groups was not significantly different between that of the basic fodder group and bacitracin zinc group (<italic>P</italic> &#x0003E; 0.05). The expression of MyD88 mRNA in the spleen of 100 and 200 mg/kg FSE groups was not significantly different from the basic fodder group (<italic>P</italic> &#x0003E; 0.05), but was significantly lower than that in the bacitracin zinc group (<italic>P</italic> = 0.05). The expression of MyD88 mRNA in the spleen of the bacitracin zinc group was significantly higher than that of the basic fodder group (<italic>P</italic> = 0.05). The expression of NF-&#x003BA;B mRNA in the spleen of 50, 100, 200, and 400 mg/kg FSE groups was not significantly different from the basic fodder group (<italic>P</italic> &#x0003E; 0.05), but was significantly lower than that in the bacitracin zinc group (<italic>P</italic> &#x0003C; 0.01). The expression of NF-&#x003BA;B mRNA in the spleen of 800 mg/kg FSE group was significantly higher than that of the basic fodder group (<italic>P</italic> &#x0003C; 0.05), and was not significantly different with that of bacitracin zinc group (<italic>P</italic> &#x0003E; 0.05). The expression of NF-&#x003BA;B mRNA in the spleen of the bacitracin zinc group was significantly higher than that of the basic fodder group (<italic>P</italic> &#x0003C; 0.01).</p></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Fenugreek contains carbohydrates and fatty acids, which can improve the growth performance of livestock and poultry. Alloui et al. (<xref ref-type="bibr" rid="B14">14</xref>) showed that broilers fed a diet containing 3,000 mg/kg FSE could increase broiler feed intake and reduce F/G. Adding 2% fenugreek seed powder to the diet could increase the ADFI of broilers, while adding 3% fenugreek seed powder to the diet reduces the ADFI of broilers (<xref ref-type="bibr" rid="B15">15</xref>). Amein et al. (<xref ref-type="bibr" rid="B16">16</xref>) and Laudadio et al. (<xref ref-type="bibr" rid="B17">17</xref>) found that the powdered seeds of fenugreek and the 0.5% fenugreek in the diet could reduce F/G of broilers. There was a research result showing that greater dietary concentrations of fenugreek reduced BW and increase F/G (<xref ref-type="bibr" rid="B18">18</xref>). In this study, we observed that the 50 and 800 mg/kg FSE groups significantly increased ADG, and except 400 mg/kg FSE, other doses of FSE (50&#x02013;800 mg/kg) significantly increased the final BW of broilers. This may be affected by the number of samples. Because from the numerical point of view, 400 mg/kg FSE also has a tendency to increase the final BW of broilers, and 100&#x02013;400 mg/kg FSE has a tendency to increase the ADG of broilers. And the final BW and ADG increased linearly and quadratically with increasing FSE supplementation in broilers. Moreover, dietary FSE supplementation significantly decreased F/G. The F/G decreased linearly and quadratically with increasing FSE supplementation in broilers. These results were similar to Amein et al. (<xref ref-type="bibr" rid="B16">16</xref>) and Laudadio et al. (<xref ref-type="bibr" rid="B17">17</xref>). FSE can improve broiler production, ensuring the health of chickens without toxic side effects to humans.</p>
<p>The main immune organs of the poultry body are the thymus, spleen and bursa of Fabricius. The bursa of Fabricius is extremely important for the maturation of plasma cells and B lymphocytes that can synthesize and secrete antibodies (<xref ref-type="bibr" rid="B19">19</xref>). The spleen of poultry is one of the most important peripheral lymphatic organs that respond to foreign antigen stimulation (<xref ref-type="bibr" rid="B20">20</xref>). The development of immune organs greatly affects the immune function and disease resistance of the body. Its weight is caused by the growth and division of its own cells. The immune organ index can reflect the development of immune organs and the functional status of immune cells, indirectly reflect the body&#x00027;s immune level (<xref ref-type="bibr" rid="B21">21</xref>). Raju and Bird (<xref ref-type="bibr" rid="B22">22</xref>) and Bin-Hafeez et al. (<xref ref-type="bibr" rid="B8">8</xref>) found that aqueous extracts of fenugreek could increase thymus index. In this experiment, FSE as a feed additive added to broiler feed show no effect on immune organ index, which is inconsistent with the report of Raju and Bin-Hafeez. The variation in the results from different studies might be due to the difference in the rearing environment and species used (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Immunoglobulin (Ig) is a kind of macromolecular protein that can bind with antigen and is rapidly produced after the body stimulated by foreign pathogens. It is the most commonly used detection method for the performance of the body&#x00027;s humoral immune function (<xref ref-type="bibr" rid="B23">23</xref>). IgM is the first-line defense against a broad range of infections (<xref ref-type="bibr" rid="B24">24</xref>). The presence of immunoglobulins especially IgA and IgG in chicken sera enhances the immunity of the birds (<xref ref-type="bibr" rid="B25">25</xref>). According to the research reports, FSE can promote Ig secretion in animals. Hossain et al. (<xref ref-type="bibr" rid="B26">26</xref>) found that FSE significantly increased IgG levels in growing pigs. In this study, we observed that every level of FSE dietary supplementation had a positive regulation effect on the serum IgG, IgM, and IgA of broilers, and among them 100 mg/kg is the best. It shows that FSE could significantly increase the level of immunoglobulin in broilers, which is beneficial to enhance the immunity of broilers. The main reason why FSE affect immunoglobulin secretion is that FSE contains 50% polysaccharides, and polysaccharide compounds can enhance the immunomodulatory activity of macrophages in animal bodies (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>), have the ability to stimulate the production of serum immunoglobulins, and have the potential to regulate innate and adaptive immunity (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>Serum biochemical indicators can reflect the body&#x00027;s metabolism and some disease states as an effective indicator for checking the health of animal&#x00027;s body. The concentration of TC and TG in serum can be used as indicators of lipid metabolism. Under normal conditions, serum triglycerides maintain dynamic balance. The increase in the concentration of TC and TG in serum indicates that the body&#x00027;s lipid metabolism is abnormal, or the accumulation of fat in the animal&#x00027;s body increases, resulting in an increase in blood lipid contents in the serum (<xref ref-type="bibr" rid="B31">31</xref>). LDL-C and HDL-C are lipoproteins associated with cholesterol transport (<xref ref-type="bibr" rid="B32">32</xref>). Both are related to atherosclerosis and cardiovascular disease. The former (LDL-C) is positively correlated with the occurrence of the disease, and the latter (HDL-C) is negatively correlated with the occurrence of the disease. FSE can control blood lipids and lower serum total cholesterol. The results of Belguith-Hadriche et al. (<xref ref-type="bibr" rid="B33">33</xref>) showed that the use of fenugreek ethyl acetate extracts significantly reduced the levels of TC, TG, and LDL-C in plasma while increasing the plasma levels of HDL-C in plasma. Begum et al. (<xref ref-type="bibr" rid="B34">34</xref>) found that FSE has a significant increase in serum HDL-C concentration. In this study, we observed that dietary FSE supplementation decreased the serum TC content in the broiler, and the 50, 100, and 800 mg/kg FSE decreased the serum LDL-C content, and the 200 and 800 mg/kg FSE increased the serum GLU content. Also, FSE had no effect on serum TG and HDL-C. The test results are similar to those of Begum et al. (<xref ref-type="bibr" rid="B34">34</xref>) and Belguith-Hadriche et al. (<xref ref-type="bibr" rid="B33">33</xref>). The results showed that FSE has the effect on lowering blood lipids, which is beneficial to the body lipid metabolism of broilers. The reason why FSE reduced the content of TC and LDL-C may be related to the alkaloids contained in fenugreek extract (<xref ref-type="bibr" rid="B35">35</xref>). According to research, alkaloids can reduce blood TC and LDL-C levels, while beneficially increasing HDL-C levels or no effect on HDL-C levels (<xref ref-type="bibr" rid="B36">36</xref>). Trigonelline in FSE may control the absorption of intestinal cholesterol and affect the LDL cholesterol clearance mediated by LDL receptors, thereby controlling the serum cholesterol of broilers, affecting the lipid metabolism of broilers, and playing the role of lowering blood lipids (<xref ref-type="bibr" rid="B37">37</xref>&#x02013;<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>Cytokines are small molecular proteins produced by exogenous or endogenous stimulants induced by immune cells, endothelial cells, and fat cells in the body. They have various physiological functions such as regulating immunity, stimulating endothelial growth, and repairing damage. According to their function and source, cytokines are divided into interferon (IFN), interleukin (IL), tumor necrosis factor (TNF), etc. (<xref ref-type="bibr" rid="B41">41</xref>). TNF-&#x003B1; mainly causes white blood cells to accumulate in the inflammation site and has a dual biological role. On the one hand, it is an important medium for the immune protection of the body; on the other hand, it can participate in the immune pathological damage of the body. It plays a very important role in the pathogenesis of tumors and immune diseases (<xref ref-type="bibr" rid="B42">42</xref>). IFN-&#x003B3; has the ability to interfere with virus infection and replication, and its main function is immune regulation (<xref ref-type="bibr" rid="B43">43</xref>). The increase of serum IFN-&#x003B3; is beneficial to activate the body&#x00027;s immunity (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>). IL-1, IL-2, and IL-6 are pro-inflammatory factors in the body. Their reduced expression in the body is beneficial to improve the body&#x00027;s anti-inflammatory response and regulate the body&#x00027;s immune function. On the contrary, it can reflect that the body has corresponding inflammation. The reaction will also affect the body&#x00027;s immunity and make the body&#x00027;s immune function imbalance (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>). As an anti-inflammatory factor, IL-10 expression in the body is beneficial to improve or activate the body&#x00027;s immune function (<xref ref-type="bibr" rid="B48">48</xref>). Studies have shown that FSE could stimulate the regulation of cytokines and significantly reduce the levels of IL-1&#x003B1;, IL-1&#x003B2;, IL-2, IL-6, and TNF-&#x003B1; (<xref ref-type="bibr" rid="B49">49</xref>&#x02013;<xref ref-type="bibr" rid="B52">52</xref>). In this study, compared with the bacitracin zinc group, the 200 and 400 mg/kg FSE dietary supplementation increased the serum IL-1 content, the 400 mg/kg FSE increased the serum IL-10 content, the 100 and 200 mg/kg FSE increased the serum IFN-&#x003B3; content. The serum IFN-&#x003B3; content quadratically increased with increasing FSE supplementation in broilers. The serum TNF-&#x003B1; content quadratically decreased with increasing FSE supplementation in broilers. The results of this test showed that FSE can increase the secretion of anti-inflammatory factors in broilers and inhibit the synthesis of pro-inflammatory factors, which is basically similar with the studies of Tripathi et al. (<xref ref-type="bibr" rid="B10">10</xref>) and Ghosh et al. (<xref ref-type="bibr" rid="B51">51</xref>). Fenugreek contains a number of important, beneficial flavonoids, and polyphenol compounds. Nagulapalli et al. (<xref ref-type="bibr" rid="B5">5</xref>) have reported the presence of a wide range of flavonoids, namely quercetin, luteolin, vitexin, and 7, 4&#x02032;-dimethoxy flavanones in the alcoholic extracts of the whole plant. Benayad et al. (<xref ref-type="bibr" rid="B53">53</xref>) have reported similar findings of the presence of aglycones kaempferol, quercetin, tricin, and naringenin. The reason why FSE increases serum IFN-&#x003B3; and IL-10 may be due to the anti-inflammatory active substances contained in FSE. For example, fenugreek flavonoids are the main anti-inflammatory and antioxidant bioactive components (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>), and fenugreek polysaccharides are also have anti-inflammatory properties (<xref ref-type="bibr" rid="B56">56</xref>). FSE increased the serum IFN-&#x003B3; value of broiler chickens, may regulate Th17 and Th1 cells (<xref ref-type="bibr" rid="B57">57</xref>), inhibit the secretion of pro-inflammatory factors (IL-1, IL-2, IL-6, TNF-&#x003B1;), and promote the anti-inflammatory factor IL-10 secretion, thereby activating the immune function of broilers. In addition, this test found that the serum levels of IL-1, IFN-&#x003B3;, and IL-10 in the zinc bacitracin group were reduced, which inhibited the activation of inflammatory and immune responses to a certain extent.</p>
<p>Toll-like receptors 4 (TLR4) is the earliest discovered protein among TLR-related proteins. It is distributed in almost all cell lines and is expressed in cells involved in host defense functions (<xref ref-type="bibr" rid="B58">58</xref>). The mechanism of its pathway is that the TLR4 receptor binds to the corresponding ligand, the signal is transduced to the TLR4 region, and then the NF-&#x003BA;B and MAPK signaling pathways are further activated to promote the expression and activation of various inflammatory cytokine genes (<xref ref-type="bibr" rid="B59">59</xref>). MyD88 is both a key downstream signaling ligand of TLR4 and an important protein in the NF-&#x003BA;B signaling pathway (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B61">61</xref>). Their mechanism of action is that some extracellular inflammatory signals are presented to MyD88 through the TLR domain, allowing MyD88 to interact with interleukin-1 receptor-associated kinase 4 (IRAK4) to phosphorylate IRAK4 (<xref ref-type="bibr" rid="B62">62</xref>). Then phosphorylate IRAK1, and then act on ubiquitin ligase (TRAF6). After MyD88 is activated, TAK-1 and I&#x003BA;B kinase (IKK) are activated under the action of trans-growth factor-&#x003B2; activated kinase 1 binding protein (TAB-1/TAB-2) to activate transcription factors, and then initiate signal transduction through the nucleus (<xref ref-type="bibr" rid="B63">63</xref>). Research has shown that plant polysaccharides and plant flavonoids can activate the immune system and play an immunomodulatory effect (<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B65">65</xref>). Hou et al. (<xref ref-type="bibr" rid="B64">64</xref>) found that G. frondosa polysaccharide activated macrophages through TLR4-MyD88-IKK&#x003B2;-NF-&#x003BA;Bp65 signaling pathways. Juglan, a flavonol derivative, in LPS-induced C57B/L6 mice significantly reduced pro-inflammatory cytokines and blocked TLR4/NF-&#x003BA;B pathway (<xref ref-type="bibr" rid="B66">66</xref>). However, in the present study, the mRNA expression of TLR4/MyD88/NF-&#x003BA;B signaling pathways was not significantly affected by lower doses (0&#x02013;400 mg/kg) of FSE containing 50% polysaccharides and 10% flavonoids. The variation in the results from different studies might be due to the different species used and the way of adding active substances (<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B66">66</xref>). Furthermore, in the present study, the 800 mg/kg FSE treatment group up-regulated NF-&#x003BA;B expression. The zinc bacitracin group significantly increased the expression levels of MyD88 and NF-&#x003BA;B mRNA in the spleen of broilers. It showed that bacitracin zinc and high doses (800 mg/kg) of FSE have some negative effects on body immunity by the TLR4/MyD88/ NF-&#x003BA;B signaling pathway.</p></sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>Dietary FSE could further improve growth performance, promote the secretion of broiler immunoglobulins, regulate the body&#x00027;s cytokines and have a positive effect on immunity. FSE is expected to replace antibiotics to improve broiler health and growth and increase chicken production while ensuring chicken quality and health. The optimal concentration of 100 mg/kg for FSE has been initially found.</p></sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s11">Supplementary Material</xref>, further inquiries can be directed to the corresponding author/s.</p></sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by the Institutional Animal Care and Use Committee of Hunan Agricultural University, Hunan, China.</p></sec>
<sec id="s8">
<title>Author Contributions</title>
<p>All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.</p></sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This project was funded by National Natural Science Foundation of China (31872991), National Natural Science Foundation of Hunan Province-China (2020JJ4364), and Project of Science and Technology Department of Hunan Province (2020NK4247). Cooperation project between Hunan Agricultural University and Hunan Jinhan Pharmaceutical Co., Ltd. (2019xny-js065).</p></sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>YZ was employed by Geneham Pharmaceutical Co., Ltd. SZ was employed by Hunan Wenfeng Agricultural and Animal Husbandry Technology Co. The remaining 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="s10">
<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><sec sec-type="supplementary-material" id="s11">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fvets.2022.882754/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fvets.2022.882754/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.XLSX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/></sec>
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<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>FSE</term>
<def><p>Fenugreek seed extract</p></def></def-item>
<def-item><term>ADG</term>
<def><p>Average daily gain</p></def></def-item>
<def-item><term>ADFI</term>
<def><p>Average daily feed intake</p></def></def-item>
<def-item><term>F/G</term>
<def><p>Feed/Gain</p></def></def-item>
<def-item><term>TP</term>
<def><p>Total protein</p></def></def-item>
<def-item><term>ALB</term>
<def><p>Albumin</p></def></def-item>
<def-item><term>TG</term>
<def><p>Triglyceride</p></def></def-item>
<def-item><term>TC</term>
<def><p>Total cholesterol</p></def></def-item>
<def-item><term>HDL-C</term>
<def><p>High density lipoprotein cholesterol</p></def></def-item>
<def-item><term>LDL-C</term>
<def><p>Low density lipoprotein-cholesterol</p></def></def-item>
<def-item><term>GLU</term>
<def><p>Glucose</p></def></def-item>
<def-item><term>ALT</term>
<def><p>Alanine aminotransferase</p></def></def-item>
<def-item><term>AST</term>
<def><p>Aspartate aminotransferase</p></def></def-item>
<def-item><term>BUN</term>
<def><p>Blood urea nitrogen</p></def></def-item>
<def-item><term>CREA</term>
<def><p>Creatinine</p></def></def-item>
<def-item><term>IL-1</term>
<def><p>Interleukin-1</p></def></def-item>
<def-item><term>IL-2</term>
<def><p>Interleukin-2</p></def></def-item>
<def-item><term>IL-6</term>
<def><p>Interleukin-6</p></def></def-item>
<def-item><term>IL-10</term>
<def><p>Interleukin-10</p></def></def-item>
<def-item><term>IFN-&#x003B3;</term>
<def><p>Interferon</p></def></def-item>
<def-item><term>TNF-&#x003B1;</term>
<def><p>Tumor necrosis factor</p></def></def-item>
<def-item><term>IgG</term>
<def><p>Immunoglobulin G</p></def></def-item>
<def-item><term>IgM</term>
<def><p>Immunoglobulin M</p></def></def-item>
<def-item><term>IgA</term>
<def><p>Immunoglobulin A</p></def></def-item>
<def-item><term>TLR4</term>
<def><p>Toll-like receptors 4</p></def></def-item>
<def-item><term>GAPDH</term>
<def><p>Glyceraldehyde-3-phosphate dehydrogenase</p></def></def-item>
<def-item><term>MyD88</term>
<def><p>Myeloid differentiation factor 88</p></def></def-item>
<def-item><term>TRAF6</term>
<def><p>TNF receptor associated factor 6</p></def></def-item>
<def-item><term>NF-&#x003BA;B</term>
<def><p>Nuclear factor-&#x003BA;b</p></def></def-item>
<def-item><term>IL-1&#x003B2;</term>
<def><p>Interleukin-1&#x003B2;</p></def></def-item>
<def-item><term>MAPK</term>
<def><p>Mitogen-activated protein kinase</p></def></def-item>
<def-item><term>IRAK4</term>
<def><p>Interleukin-1 receptor-associated kinase 4</p></def></def-item>
<def-item><term>TAK-1</term>
<def><p>Transforming growth factor-&#x003B2; activated protein kinase</p></def></def-item>
<def-item><term>IKK</term>
<def><p>I&#x003BA;B kinase</p></def></def-item>
<def-item><term>IRAK4</term>
<def><p>Interleukin-1 receptor-associated kinase 4</p></def></def-item>
<def-item><term>ELISA</term>
<def><p>Enzyme-linked immunosorbent assay</p></def></def-item>
<def-item><term>TAB-1</term>
<def><p>Transforming growth factor-&#x003B2; activated protein kinase binding protein.</p></def></def-item>
</def-list>
</glossary> 
</back>
</article>