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Identification of Potential Biomarkers and Metabolic Pathways of Different Levels of Heat Stress in Beef Calves
Heat stress (HS) damages the global beef industry by reducing growth performance causing high economic losses each year. However, understanding the physiological mechanisms of HS in Hanwoo calves remains elusive. The objective of this study was to identify the potential biomarkers and metabolic path...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9456105/ https://www.ncbi.nlm.nih.gov/pubmed/36077553 http://dx.doi.org/10.3390/ijms231710155 |
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author | Kim, Won-Seob Kim, Jongkyoo Lee, Hong-Gu |
author_facet | Kim, Won-Seob Kim, Jongkyoo Lee, Hong-Gu |
author_sort | Kim, Won-Seob |
collection | PubMed |
description | Heat stress (HS) damages the global beef industry by reducing growth performance causing high economic losses each year. However, understanding the physiological mechanisms of HS in Hanwoo calves remains elusive. The objective of this study was to identify the potential biomarkers and metabolic pathways involving different levels of heat stress in Hanwoo calves. Data were collected from sixteen Hanwoo bull calves (169.6 ± 4.6 days old, BW of 136.9 ± 6.2 kg), which were maintained at four designated ranges of HS according to the temperature–humidity index (THI) including: threshold (22 to 24 °C, 60%; THI = 70 to 73), mild (26 to 28 °C, 60%; THI = 74 to 76), moderate (29 to 31 °C, 80%; THI = 81 to 83), and severe (32 to 34 °C, 80%; THI = 89 to 91) using climate-controlled chambers. Blood was collected once every three days to analyze metabolomics. Metabolic changes in the serum of calves were measured using GC-TOF-MS, and the obtained data were calculated by multivariate statistical analysis. Five metabolic parameters were upregulated and seven metabolic parameters were downregulated in the high THI level compared with the threshold (p < 0.05). Among the parameters, carbohydrates (ribose, myo-inositol, galactose, and lactose), organic compounds (acetic acid, urea, and butenedioic acid), fatty acid (oleic acid), and amino acids (asparagine and lysine) were remarkably influenced by HS. These novel findings support further in-depth research to elucidate the blood-based changes in metabolic pathways in heat-stressed Hanwoo beef calves at different levels of THI. In conclusion, these results indicate that metabolic parameters may act as biomarkers to explain the HS effects in Hanwoo calves. |
format | Online Article Text |
id | pubmed-9456105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94561052022-09-09 Identification of Potential Biomarkers and Metabolic Pathways of Different Levels of Heat Stress in Beef Calves Kim, Won-Seob Kim, Jongkyoo Lee, Hong-Gu Int J Mol Sci Article Heat stress (HS) damages the global beef industry by reducing growth performance causing high economic losses each year. However, understanding the physiological mechanisms of HS in Hanwoo calves remains elusive. The objective of this study was to identify the potential biomarkers and metabolic pathways involving different levels of heat stress in Hanwoo calves. Data were collected from sixteen Hanwoo bull calves (169.6 ± 4.6 days old, BW of 136.9 ± 6.2 kg), which were maintained at four designated ranges of HS according to the temperature–humidity index (THI) including: threshold (22 to 24 °C, 60%; THI = 70 to 73), mild (26 to 28 °C, 60%; THI = 74 to 76), moderate (29 to 31 °C, 80%; THI = 81 to 83), and severe (32 to 34 °C, 80%; THI = 89 to 91) using climate-controlled chambers. Blood was collected once every three days to analyze metabolomics. Metabolic changes in the serum of calves were measured using GC-TOF-MS, and the obtained data were calculated by multivariate statistical analysis. Five metabolic parameters were upregulated and seven metabolic parameters were downregulated in the high THI level compared with the threshold (p < 0.05). Among the parameters, carbohydrates (ribose, myo-inositol, galactose, and lactose), organic compounds (acetic acid, urea, and butenedioic acid), fatty acid (oleic acid), and amino acids (asparagine and lysine) were remarkably influenced by HS. These novel findings support further in-depth research to elucidate the blood-based changes in metabolic pathways in heat-stressed Hanwoo beef calves at different levels of THI. In conclusion, these results indicate that metabolic parameters may act as biomarkers to explain the HS effects in Hanwoo calves. MDPI 2022-09-05 /pmc/articles/PMC9456105/ /pubmed/36077553 http://dx.doi.org/10.3390/ijms231710155 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kim, Won-Seob Kim, Jongkyoo Lee, Hong-Gu Identification of Potential Biomarkers and Metabolic Pathways of Different Levels of Heat Stress in Beef Calves |
title | Identification of Potential Biomarkers and Metabolic Pathways of Different Levels of Heat Stress in Beef Calves |
title_full | Identification of Potential Biomarkers and Metabolic Pathways of Different Levels of Heat Stress in Beef Calves |
title_fullStr | Identification of Potential Biomarkers and Metabolic Pathways of Different Levels of Heat Stress in Beef Calves |
title_full_unstemmed | Identification of Potential Biomarkers and Metabolic Pathways of Different Levels of Heat Stress in Beef Calves |
title_short | Identification of Potential Biomarkers and Metabolic Pathways of Different Levels of Heat Stress in Beef Calves |
title_sort | identification of potential biomarkers and metabolic pathways of different levels of heat stress in beef calves |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9456105/ https://www.ncbi.nlm.nih.gov/pubmed/36077553 http://dx.doi.org/10.3390/ijms231710155 |
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