{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T12:19:17Z","timestamp":1787919557133,"version":"build-2784847793"},"reference-count":23,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T00:00:00Z","timestamp":1784505600000},"content-version":"vor","delay-in-days":19,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Veterinary Medicine &amp; Sci"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Bovine respiratory disease complex (BRDC) is primarily considered a pulmonary disorder; however, hypoxia and systemic inflammation associated with this condition may also impose cardiovascular stress.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>This exploratory study investigated myocardial stress biomarkers in cattle with BRDC and evaluated their relationships with haematological inflammatory indices and ratio\u2010derived enzyme patterns reflecting tissue injury dynamics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Twenty\u2010four Simmental crossbred cattle aged 6\u201310 months were included, comprising 16 BRDC\u2010affected animals and 8 clinically healthy controls. Myocardial stress biomarkers, including heart\u2010type fatty acid\u2010binding protein (H\u2010FABP), creatine kinase\u2010MB (CK\u2010MB), creatine kinase (CK), aspartate aminotransferase (AST) and lactate dehydrogenase (LDH), were measured. Haematological indices and ratio\u2010derived parameters, including the lymphocyte\u2010to\u2010monocyte ratio (LMR), AST\/CK and CK\u2010MB\/H\u2010FABP, were calculated. Group comparisons, correlation analyses, receiver operating characteristic analysis and multivariable linear regression were performed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Compared with controls, BRDC cattle showed significantly higher WBC, LYM, LMR, H\u2010FABP, CK\u2010MB, CK, AST, LDH, AST\/CK, CK\u2010MB\/H\u2010FABP, heart rate, respiratory rate and rectal temperature, whereas MCH and MCHC were lower (\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.05). For example, H\u2010FABP concentrations were higher in BRDC cattle (0.65\u00a0\u00b1\u00a00.09\u00a0vs. 0.34\u00a0\u00b1\u00a00.07\u00a0ng\/mL), and heart rate was markedly increased (146 [106\u2013184] vs. 79 [60\u201388] beats\/min). H\u2010FABP correlated positively with inflammatory and physiological parameters and strongly with heart rate. Multivariable linear regression identified RBC as an independent factor associated with H\u2010FABP concentrations (\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.001), whereas LMR was not independently associated with H\u2010FABP after adjustment (\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.087; adjusted\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u00a0=\u00a00.837). ROC analysis indicated preliminary discriminatory capacity for several biomarkers, although these findings should be interpreted cautiously given the limited sample size and potential overfitting.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>BRDC may be accompanied by elevations in myocardial stress biomarkers that parallel systemic inflammatory activation and physiological stress. Integrated evaluation of myocardial stress biomarkers and inflammatory indices may offer a potentially useful exploratory framework for characterizing cardiopulmonary stress responses in BRDC; however, further validation in larger cohorts is required.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/vms3.71096","type":"journal-article","created":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T17:22:01Z","timestamp":1784568121000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Myocardial Stress Biomarkers and Inflammatory Indices in Cattle With Bovine Respiratory Disease Complex"],"prefix":"10.1002","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3920-6343","authenticated-orcid":false,"given":"\u015e\u00fckr\u00fc","family":"De\u011firmen\u00e7ay","sequence":"first","affiliation":[{"name":"Department of Internal Medicine Faculty of Veterinary Medicine Atat\u00fcrk University  Erzurum Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-1464-7943","authenticated-orcid":false,"given":"Reyhane","family":"Bayat","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine Faculty of Veterinary Medicine Atat\u00fcrk University  Erzurum Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,7,20]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.15744\/2348\u20109790.5.202"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprot.2012.04.004"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/1057496"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.9775\/kvfd.2022.28624"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/clinchem\/34.12.2506"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.5830\/CVJA\u20102015\u2010028"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.1177\/0003319716685480"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tvjl.2018.11.017"},{"key":"e_1_2_12_10_1","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.238"},{"key":"e_1_2_12_11_1","first-page":"69","article-title":"Statistics Corner: A Guide to Appropriate Use of Correlation Coefficient in Medical Research","volume":"24","author":"Mukaka M. 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