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Improving animal welfare status and meat quality through assessment of stress biomarkers: a critical review


Kumar, Pavan and Ahmed, Muideen Adewale and Abubakar, Ahmed Abubakar and Hayat, Muhammad Nizam and Kaka, Ubedullah and Ajat, Mokrish and Goh, Yong Meng and Sazili, Awis Qurni (2022) Improving animal welfare status and meat quality through assessment of stress biomarkers: a critical review. Meat Science, 197. art. no. 109048. pp. 1-18. ISSN 0309-1740; ESSN: 1873-4138


Stress induces various physiological and biochemical alterations in the animal body, which are used to assess the stress status of animals. Blood profiles, serum hormones, enzymes, and physiological conditions such as body temperature, heart, and breathing rate of animals are the most commonly used stress biomarkers in the livestock sector. Previous exposure, genetics, stress adaptation, intensity, duration, and rearing practices result in wide intra- and inter-animal variations in the expression of various stress biomarkers. The use of meat proteomics by adequately analyzing the expression of various muscle proteins such as heat shock proteins (HSPs), acute phase proteins (APPs), texture, and tenderness biomarkers help predict meat quality and stress in animals before slaughter. Thus, there is a need to identify non-invasive, rapid, and accurate stress biomarkers that can objectively assess stress in animals. The present manuscript critically reviews various aspects of stress biomarkers in animals and their application in mitigating preslaughter stress in meat production.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Agriculture
Faculty of Veterinary Medicine
Halal Products Research Institute
Institute of Tropical Agriculture and Food Security
DOI Number: https://doi.org/10.1016/j.meatsci.2022.109048
Publisher: Elsevier
Keywords: Physiological status; Serum biomarkers; Acute phase proteins; Heat shock proteins; Proteomics; Meat quality
Depositing User: Ms. Che Wa Zakaria
Date Deposited: 15 Aug 2023 04:03
Last Modified: 15 Aug 2023 04:03
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.meatsci.2022.109048
URI: http://psasir.upm.edu.my/id/eprint/101821
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