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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.2023.1239651</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 bovine respiratory disease on the plasma metabolome of beef steers during the receiving period</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Eichie</surname> <given-names>Francisca O.</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Taiwo</surname> <given-names>Godstime</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Idowu</surname> <given-names>Modoluwamu</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Sidney</surname> <given-names>Taylor</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Treon</surname> <given-names>Emily</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Ologunagba</surname> <given-names>Deborah</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Leal</surname> <given-names>Yarahy</given-names></name></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Ogunade</surname> <given-names>Ibukun M.</given-names></name><xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/569277/overview"/>
</contrib>
</contrib-group>
<aff><institution>Division of Animal Science and Nutritional Science, West Virginia University</institution>, <addr-line>Morgantown, WV</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Ali Mujtaba Shah, Shaheed Benazir Bhutto University of Veterinary and Animal Sciences, Pakistan</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Roman Mylostyvyi, Dnipropetrovsk State Agrarian and Economic University, Ukraine; Rui Hu, Sichuan Agricultural University, China</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Ibukun M. Ogunade, <email>ibukun.ogunade@mail.wvu.edu</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1239651</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Eichie, Taiwo, Idowu, Sidney, Treon, Ologunagba, Leal and Ogunade.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Eichie, Taiwo, Idowu, Sidney, Treon, Ologunagba, Leal and Ogunade</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>The study aimed to investigate the impact of Bovine Respiratory Disease (BRD) on the metabolism of beef steers during a 35-d receiving period using plasma metabolomics. In this study, 77 newly weaned crossbred (Angus &#x00D7; Hereford) beef steers (BW&#x2009;=&#x2009;206&#x2009;&#x00B1;&#x2009;12&#x2009;kg and age&#x2009;=&#x2009;180&#x2009;&#x00B1;&#x2009;17&#x2009;days) were categorized into two groups: Healthy and Sick groups. The Sick group comprised beef steers diagnosed with BRD at any time during the 35-day period (<italic>n</italic>&#x2009;=&#x2009;31), while the Healthy group did not show any signs of BRD (<italic>n</italic>&#x2009;=&#x2009;46). Blood samples were collected from the coccygeal vessels on day 35, and plasma samples were subjected to targeted metabolomics analysis using Nuclear Magnetic Resonance spectroscopy. Data and statistical analyses, including biomarker and pathway enrichment analyses, were performed using Metaboanalyst 5.0. Results of the growth performance showed that sick steers had lower (<italic>p</italic>&#x2009;&#x2264;&#x2009;0.05) ADG (1.44 vs. 1.64&#x2009;kg/d) and higher (<italic>p</italic>&#x2009;=&#x2009;0.01) feed:gain ratio (3.57 vs. 3.13) compared to healthy steers. A total of 50 metabolites were quantified. The partial least squares discriminant scores plot showed a slight separation between the two groups of steers, indicating some metabolic differences. Furthermore, the plasma concentrations of four metabolites (sarcosine, methionine, dimethyl sulfone, and L-histidine) were greater (<italic>p</italic>&#x2009;&#x2264;&#x2009;0.05) in healthy steers compared to sick steers. Among these metabolites, sarcosine and methionine qualified as candidate biomarkers associated with BRD infection based on an area under the curve &#x003E;0.70. Additionally, quantitative enrichment analysis revealed that cysteine and methionine metabolism was enriched in healthy steers compared to sick steers. This suggests that these metabolic pathways may play a role in the response to BRD infection. The findings of this study highlight the altered plasma metabolome in steers with BRD during the receiving period. Understanding these metabolic changes can contribute to the development of effective management strategies and nutritional interventions to mitigate the negative impact of BRD on beef cattle health and immune function.</p>
</abstract>
<kwd-group>
<kwd>amino acids</kwd>
<kwd>bovine respiratory disease</kwd>
<kwd>metabolome</kwd>
<kwd>receiving period</kwd>
<kwd>beef cattle</kwd>
</kwd-group>
<contract-sponsor id="cn1">West Virginia University<named-content content-type="fundref-id">10.13039/100009455</named-content></contract-sponsor>
<contract-sponsor id="cn2">U.S. Department of Agriculture<named-content content-type="fundref-id">10.13039/100000199</named-content></contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="33"/>
<page-count count="7"/>
<word-count count="4190"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Animal Behavior and Welfare</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>Bovine respiratory disease (BRD) is a significant endemic disease that has had a considerable impact on morbidity and mortality rates in feedlots in the United States (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). The complexity of BRD in the feedlot industry arises from various environmental and physiological stress factors that cattle encounter during the critical receiving period (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). These stressors include weaning, dietary changes, mixing of unfamiliar animals, transportation, and exposure to pathogenic agents (<xref ref-type="bibr" rid="ref4">4</xref>). During the feedlot receiving period, cattle often experience reduced DMI, leading to impaired nutrient metabolism and compromised immune function (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>). The combination of these factors creates an environment conducive to the development and progression of BRD.</p>
<p>Vaccination and antibiotic treatments have been integral in the prevention and mitigation of BRD in beef cattle (<xref ref-type="bibr" rid="ref7 ref8 ref9">7&#x2013;9</xref>). These interventions have proven effective in reducing the severity of BRD (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref11">11</xref>). However, it is essential to address the public concern surrounding the use of antibiotics in food animals, as this issue is likely to persist (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref13">13</xref>). Therefore, in addition to vaccination and antibiotic treatments, it becomes necessary to implement other management strategies to mitigate the negative impact of BRD on beef cattle health and immune function (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>). In recent times, the application of metabolomics has provided a blueprint for the comprehensive analysis of metabolites in biofluids, which has emerged as a powerful tool for understanding disease processes and identifying metabolic alterations associated with various conditions (<xref ref-type="bibr" rid="ref16 ref17 ref18">16&#x2013;18</xref>). By exploring the impact of BRD on overall metabolism, effective strategies for managing and implementing nutritional interventions can be utilized to mitigate the detrimental effects of BRD infection on the nutritional status and performance of beef cattle. Indeed, a recent study (<xref ref-type="bibr" rid="ref19">19</xref>) demonstrated that dairy calves deliberately infected with BRD causal agents exhibited altered metabolism. However, the metabolism of beef cattle infected with BRD during the receiving period has not been fully described. Therefore, the objective of this study was to determine the effects of BRD infection on the plasma metabolome of beef steers during a 35-d receiving period. We hypothesized that BRD infection would induce alterations in the plasma metabolome of beef steers during this critical period.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<title>Materials and methods</title>
<sec id="sec3">
<title>Animals, housing, and feeding</title>
<p>All animal care and use procedures adhered to the guidelines for the use of Animals in Agriculture Teaching and Research at West Virginia University (Protocol #2014-0194). Seventy-seven (77) newly weaned crossbred (Angus &#x00D7; Hereford) beef steers (BW&#x2009;=&#x2009;204&#x2009;&#x00B1;&#x2009;14&#x2009;kg; age&#x2009;=&#x2009;180&#x2009;&#x00B1;&#x2009;17&#x2009;days) were sourced from a single farm located about 150&#x2009;miles away from the research station. Following initial vaccination at approximately 60&#x2009;days of age, the beef steers received booster shots at approximately 7 d prior to weaning. This vaccination protocol involved two separate vaccinations, Pyramid 5 plus presponse sq. and Alpha-7/MB-1 (Boehringer Ingelheim Animal Health, Duluth, GA). Subsequently, the beef steers were transported to the university research farm (over a distance of approximately 150&#x2009;miles). Upon arrival, the beef steers were weighed and processed. Processing procedures included the application of ear tags for unique radiofrequency identification purposes, as well as the administration of de-wormers (Valbazen, Zoetis Inc., Kalamazoo, MI). After being grouped according to their body weight on day 0, the steers were stratified into four pens, each pen housing 20 steers. This stratification was implemented to ensure that the starting body weights within each pen were similar. Each pen measured 14.6 by 46.9&#x2009;m<sup>2</sup> and was equipped with two GrowSafe intake nodes (GrowSafe Systems Ltd., Airdrie, Alberta, Canada) for individual feed intake measurement. The beef steers were fed a total mixed ration (TMR; <xref rid="SM2" ref-type="supplementary-material">Supplementary Table S1</xref>) formulated according to the recommendations for growing beef cattle (<xref ref-type="bibr" rid="ref20">20</xref>) for a duration of 35&#x2009;days.</p>
</sec>
<sec id="sec4">
<title>Intake and BW measurement</title>
<p>Individual feed intake was measured using GrowSafe intake nodes (GrowSafe Systems Ltd., Airdrie, Alberta, Canada). A 24-h intake period was defined from 0900&#x2009;h to 0800&#x2009;h the following day. Daily samples of the TMR were collected. These samples were weighed and subjected to oven drying at 55&#x00B0;C for a duration of 72&#x2009;h to determine the dry matter (DM) content. The samples were then ground using a Wiley mill (Arthur H. Thomas Co., Philadelphia, PA) to pass through a 2-mm sieve. These ground subsamples were sent to Dairy One Forage Laboratory (Ithaca, NY) for chemical composition analysis. The BW of the beef steers were recorded prior to the morning feeding on d 0 and 35 of the experiment to calculate the average daily gain (ADG) of the beef steers.</p>
</sec>
<sec id="sec5">
<title>BRD morbidity and blood collection</title>
<p>The beef steers were subjected to daily visual examinations, and appropriate measures were taken to address sickness when necessary. To qualify for treatment, an animal had to exhibit visible signs of illness, such as lethargy, coughing, or a runny nose, in addition to experiencing BW loss relative to its initial BW and having a rectal temperature exceeding 39.5&#x00B0;C. The treatment administration sequence involved a single subcutaneous injection of Draxxin (Tulathromycin, Pfizer, New York, NY), followed by an injection of Banamine (Flunixin meglumine, Merck Animal Health, Summit, NJ). If any animal did not respond to the initial treatment, second or third treatments were administered accordingly. At the conclusion of the 35-day period, the animals were categorized into two groups: (1) Animals diagnosed with bovine respiratory disease (BRD) at any time during the 35-day period (Sick group) and (2) Animals that did not exhibit any signs of BRD throughout the 35-day period (Healthy group). Prior to the morning feeding on day 35, blood samples (10&#x2009;mL each) were collected from all beef steers. The blood was drawn from the coccygeal vessels using tubes containing sodium heparin (Fisher Scientific Company). Subsequently, plasma samples were prepared by centrifugation at 2,500&#x2009;&#x00D7;&#x2009;g for 20&#x2009;min at 4&#x00B0;C. The plasma samples were then stored at &#x2212;80&#x00B0;C for subsequent analysis.</p>
</sec>
<sec id="sec6">
<title>Targeted metabolomics analysis using nuclear magnetic resonance spectroscopy</title>
<p>To evaluate the metabolic status of the two groups of beef steers, plasma samples collected on day 35 were subjected to metabolome analysis using Nuclear Magnetic Resonance (NMR) spectroscopy. A total of 50 metabolites, including organic acids, amino acids, hexoses, lipids, and carnitines were quantified using this technique (<xref rid="SM2" ref-type="supplementary-material">Supplementary Table S2</xref>). The plasma sample preparation and NMR spectral analysis procedures followed the protocols previously published by Ogunade et al. (<xref ref-type="bibr" rid="ref21">21</xref>). Initially, a deproteinization step was conducted using ultra-filtration, following the method described by Psychogios et al. (<xref ref-type="bibr" rid="ref22">22</xref>). This step aimed to eliminate macromolecules such as proteins and lipoproteins. Subsequently, 160&#x2009;&#x03BC;L of the sample was combined with 40&#x2009;&#x03BC;L of a standard buffer solution composed of 54% D2O and 46% 250&#x2009;mM KH<sub>2</sub>PO<sub>4</sub> at pH 7.0. The resulting plasma sample (200&#x2009;&#x03BC;L) was then transferred into a 3&#x2009;mm SampleJet NMR tube to undergo spectral analysis. All <sup>1</sup>H-NMR spectra were acquired utilizing a 700&#x2009;MHz Avance III spectrometer, which was equipped with a 5&#x2009;mm HCN Z-gradient pulsed-field gradient cryoprobe. Bayesil, an automated analysis software package enabling qualitative and quantitative analysis (<xref ref-type="bibr" rid="ref23">23</xref>), was used to process the <sup>1</sup>H-NMR spectra. To minimize potential errors associated with compound identification and quantification, an additional inspection and verification process was conducted by an NMR spectroscopist.</p>
</sec>
<sec id="sec7">
<title>Statistical analysis</title>
<p>The performance and DMI results were analyzed using the GLIMMIX model of SAS (SAS 9.3, SAS Inst. Inc., Cary, NC) as a randomized block design, using steer as the experimental unit. Metabolome data was analyzed using Metaboanalyst 5.0 software (<xref ref-type="bibr" rid="ref24">24</xref>). Prior to the statistical analysis, the data were log-transformed and auto-scaled. To identify the differentially abundant metabolites between the two groups of beef steers, a false discovery rate (FDR)-adjusted <italic>p</italic>-values threshold of &#x2264;0.05 and an area under the curve (AUC) threshold of &#x003E;0.70 were utilized. The receiver operating characteristic (ROC) curve analysis was performed by the ROCCET web server. To assess the metabolic pathways that were affected by BRD infection, a quantitative enrichment analysis of all the metabolites was conducted using the KEGG database.</p>
</sec>
</sec>
<sec sec-type="results" id="sec8">
<title>Results</title>
<p>At the end of the experiment, 31 beef steers were diagnosed with BRD at any time during the 35-day period (Sick group) and 46 beef steers did not exhibit any signs of BRD throughout the 35-day period (Healthy group). The results of the growth performance of the healthy and sick beef steers are shown in <xref rid="tab1" ref-type="table">Table 1</xref>. Sick beef steers had lower (<italic>p</italic>&#x2009;=&#x2009;0.01) ADG compared to healthy steers (1.44 vs. 1.64&#x2009;kg/d). However, DMI was similar for the two groups. Consequently, the sick beef steers had greater (<italic>p</italic>&#x2009;=&#x2009;0.01) feed:gain ratio compared to healthy ones (3.57 vs. 3.13).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Performance of the sick and healthy beef steers during the 35-d receiving period.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Sick</th>
<th align="center" valign="top">Healthy</th>
<th align="center" valign="top">SEM</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">ADG, kg/d</td>
<td align="char" valign="top" char=".">1.44</td>
<td align="char" valign="top" char=".">1.64</td>
<td align="char" valign="top" char=".">0.06</td>
<td align="char" valign="top" char=".">0.01</td>
</tr>
<tr>
<td align="left" valign="top">DMI, kg/d</td>
<td align="char" valign="top" char=".">5.13</td>
<td align="char" valign="top" char=".">5.27</td>
<td align="char" valign="top" char=".">0.15</td>
<td align="char" valign="top" char=".">0.33</td>
</tr>
<tr>
<td align="left" valign="top">Feed:gain</td>
<td align="char" valign="top" char=".">3.57</td>
<td align="char" valign="top" char=".">3.13</td>
<td align="char" valign="top" char=".">0.09</td>
<td align="char" valign="top" char=".">0.01</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>A total of 50 metabolites were detected and quantified in the plasma samples of all the beef steers (<xref rid="SM2" ref-type="supplementary-material">Supplementary Table S2</xref>). The PLS-DA scores plot showed an overlap but with a slight separation of the entire plasma metabolome between the sick and healthy steers. Thus, suggesting that the plasma metabolome was altered by BRD infection (<xref rid="fig1" ref-type="fig">Figure 1</xref>). Plasma concentrations of four metabolites (sarcosine, methionine, dimethyl sulfone and L-histidine) were greater (FDR&#x2009;&#x2264;&#x2009;0.05) in the healthy steers compared to the sick steers (<xref rid="tab2" ref-type="table">Table 2</xref>). Out of the four differentially abundant metabolites, only two metabolites (sarcosine and methionine) had AUC values &#x003E;0.70 (<xref rid="fig2" ref-type="fig">Figure 2</xref>). The results of the ROC analysis of the two metabolites revealed an AUC value of 0.773, suggesting that plasma concentrations of methionine and sarcosine could be used as a plasma biomarker panel associated with BRD infection in beef steers (<xref rid="fig3" ref-type="fig">Figure 3</xref>). The results of the quantitative enrichment analysis revealed cysteine and methionine metabolism (<italic>p</italic>&#x2009;=&#x2009;0.05) was enriched in healthy, compared to the sick steers (<xref rid="fig4" ref-type="fig">Figure 4</xref>). The enriched metabolites associated with this pathway were methionine, cysteine, and pyruvic acid.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>PLS-DA scores plot of plasma metabolome of Healthy and Sick beef steers.</p>
</caption>
<graphic xlink:href="fvets-10-1239651-g001.tif"/>
</fig>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Differentially abundant plasma metabolites in beef steers with or without bovine respiratory disease.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Metabolites</th>
<th align="center" valign="top">FC (healthy/sick)</th>
<th align="center" valign="top">FDR</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Sarcosine</td>
<td align="char" valign="top" char=".">1.29</td>
<td align="char" valign="top" char=".">0.01</td>
</tr>
<tr>
<td align="left" valign="top">Methionine</td>
<td align="char" valign="top" char=".">1.13</td>
<td align="char" valign="top" char=".">0.01</td>
</tr>
<tr>
<td align="left" valign="top">Dimethyl sulfone</td>
<td align="char" valign="top" char=".">1.22</td>
<td align="char" valign="top" char=".">0.02</td>
</tr>
<tr>
<td align="left" valign="top">L-Histidine</td>
<td align="char" valign="top" char=".">1.06</td>
<td align="char" valign="top" char=".">0.04</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Healthy&#x2009;=&#x2009;healthy beef steers, Sick&#x2009;=&#x2009;sick beef steers.</p>
<p>FC&#x2009;=&#x2009;fold change (healthy/sick).</p>
<p>Only metabolites with false discovery rate (FDR)&#x2009;&#x2264;&#x2009;0.05 are shown.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Biomarker analysis of plasma metabolome. ROC curve analysis of candidate plasma biomarkers (methionine and sarcosine) associated with BRD infection in the beef steers.</p>
</caption>
<graphic xlink:href="fvets-10-1239651-g002.tif"/>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Biomarker analysis using multiple metabolites (Sarcosine and Methionine).</p>
</caption>
<graphic xlink:href="fvets-10-1239651-g003.tif"/>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Results of the pathway enrichment analysis. Only cysteine and methionine metabolism had <italic>p</italic>&#x2009;&#x2264;&#x2009;0.05.</p>
</caption>
<graphic xlink:href="fvets-10-1239651-g004.tif"/>
</fig>
</sec>
<sec sec-type="discussions" id="sec9">
<title>Discussion</title>
<p>The performance parameters of the sick and healthy steers during the receiving period were compared, revealing differences in ADG and feed:gain ratio. Sick steers exhibited lower ADG and higher feed:gain ratio compared to the Healthy steers, indicating that BRD may disrupt the metabolic processes involved in growth and nutrient utilization. Furthermore, though not statistically different, slightly lower DMI in sick steers suggests that BRD may affect satiety and feed intake. Similar effects of BRD on the performance of beef cattle have been reported in previous studies (<xref ref-type="bibr" rid="ref25 ref26 ref27">25&#x2013;27</xref>), suggesting that BRD negatively impacts nutrient absorption and utilization, alters metabolism, and increases energy expenditure due to the immune response and inflammation (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
<p>Bovine respiratory disease has a profound impact on the overall metabolic homeostasis, causing notable alterations in metabolite levels that reflect the body&#x2019;s response to the infection and its defense mechanisms against the invading pathogens (<xref ref-type="bibr" rid="ref29">29</xref>). The manifestation of BRD infection in beef cattle can have a significant impact on their metabolism, depending on the degree of pathological condition development (<xref ref-type="bibr" rid="ref29">29</xref>). The disease disrupts various biological systems within the animal, particularly immune activation and nutrient metabolism (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>). The disruptions experienced as a result of these events lead to various biological alterations. One notable change is the upregulation of protein turnover, which is initiated by the production of cytokines in response to the pathogen. This heightened protein turnover necessitates an increased demand for amino acids to facilitate the synthesis of acute-phase proteins in the liver (<xref ref-type="bibr" rid="ref29">29</xref>).</p>
<p>Metabolomics assessment revealed altered cysteine and methionine metabolism and identified specific plasma metabolites that differed between healthy and sick steers, including sarcosine, methionine, dimethyl sulfone, and L-histidine. These metabolites play crucial roles in biological and metabolic processes related to growth, production, and reproduction in farm animals (<xref ref-type="bibr" rid="ref32">32</xref>). The decreased plasma concentration of sarcosine and methionine in sick steers suggests potential implications for the growth and energy substrate levels in the blood. Dysregulation in the metabolism of these amino acids may affect protein synthesis, muscle development, energy availability, and utilization, thereby impacting overall growth and body weight gain. Methionine, being an essential amino acid, is involved in various metabolic processes crucial for growth and muscle development. In the context of BRD, decreased methionine levels may compromise protein synthesis, utilization of other amino acids, dietary nutrient utilization, and immune defense mechanisms. Methionine deficiency has been associated with poor growth performance in growing beef cattle fed high forage diet such as the one fed in this study (<xref ref-type="bibr" rid="ref33">33</xref>). Additionally, decreased methionine availability can compromise antioxidant defense mechanisms, leading to increased oxidative damage, inflammation, and impaired growth. Sarcosine is an intermediate product in the metabolism of glycine and methionine, thus, the reduced plasma concentration of sarcosine in sick beef steers may signify dysregulation in the metabolic pathways of these amino acids, which can have a significant impact on essential processes such as protein synthesis and muscle development which are critical for optimal growth in beef cattle. Furthermore, sarcosine is involved in the one-carbon metabolism pathway, which is crucial for the synthesis of important molecules such as DNA, RNA, and proteins. Disruptions in sarcosine and methionine metabolism can lead to reduced availability of metabolites involved in energy production, which may explain the reduced ADG of the sick steers observed in this study.</p>
</sec>
<sec sec-type="conclusions" id="sec10">
<title>Conclusion</title>
<p>Our findings demonstrate that BRD infection reduced the ADG and increased gain:feed ratio, and altered the plasma metabolome of the beef steers toward reduced concentrations of sarcosine, methionine, dimethyl sulfone and L-histidine. Additionally, quantitative enrichment analysis revealed that cysteine and methionine metabolism was enriched in healthy steers compared to sick steers. Further research is warranted to elucidate the underlying mechanisms and explore targeted interventions, such as nutritional supplementation of methionine, sarcosine, or cysteine, for mitigating the metabolic consequences of BRD in cattle.</p>
</sec>
<sec sec-type="data-availability" id="sec11">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref rid="SM1" ref-type="supplementary-material">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="sec12">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by West Virginia University (Protocol #2014-0194).</p>
</sec>
<sec id="sec13">
<title>Author contributions</title>
<p>IO designed the experiment. FE, GT, MI, IO, TS, ET, DO, and YL conducted the experiment and analyzed the data. FE drafted the manuscript. IO reviewed the final manuscript together with FE, GT, MI, IO, TS, ET, DO, and YL. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="sec14">
<title>Funding</title>
<p>This work was funded by West Virginia University Experimental Station in support of U.S. Department of Agriculture hatch multi-state regional project W-3010 Scientific Article Number 3463.</p>
</sec>
<sec sec-type="COI-statement" id="sec15">
<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="sec25" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec sec-type="supplementary-material" id="sec16">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fvets.2023.1239651/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fvets.2023.1239651/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="Data_Sheet_2.CSV" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
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