Identifying biomarkers of sheep welfare using a metabolic discrepancy model

被引:0
|
作者
Sarah Babington [1 ]
Luoyang Ding [1 ]
Alan J. Tilbrook [2 ]
Shane K. Maloney [3 ]
Elise A. Kho [4 ]
Jill N. Fernandes [3 ]
Dominique Blache [2 ]
机构
[1] School of Agriculture and Environment, The University of Western Australia, Crawley, 6009, WA
[2] School of Veterinary Science, The University of Queensland, Gatton, 4343, QLD
[3] Centre for Animal Science, The Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, 4067, QLD
[4] School of Human Sciences, The University of Western Australia, Crawley, 6009, WA
关键词
Animal welfare; Biomarker; Oxidative stress; Sheep; Stress;
D O I
10.1038/s41598-025-97993-2
中图分类号
学科分类号
摘要
The welfare of an animal is largely determined by the transient state within them that relates to what they experience. We evaluated candidate biomarkers of mental state and experience from human biomedicine as possible welfare biomarkers for sheep using a metabolic energy discrepancy model. The metabolic status of female Merino sheep was altered over three periods to induce changes in their experience and coping capacity. The first group was fed at maintenance for all periods (n = 11); the second group was fed above maintenance in period 1, at maintenance in period 2, and below maintenance in period 3 (n = 12); and the third group was fed below maintenance in period 1, at maintenance in period 2, and above maintenance in period 3 (n = 11). An isolation box test was used at the start and end of each feed period to assess the coping capacity of each sheep. Our results indicated that two of the five candidate biomarkers, insulin-like growth factor 1 and thiol oxidation, were associated with positive and negative experiences in the sheep, respectively. Future research should validate these biomarkers in sheep with other testing paradigms and in other ruminant species. © The Author(s) 2025.
引用
收藏
相关论文
共 50 条
  • [21] Discovering plant metabolic biomarkers for phenotype prediction using an untargeted approach
    Steinfath, Matthias
    Strehmel, Nadine
    Peters, Rolf
    Schauer, Nicolas
    Groth, Detlef
    Hummel, Jan
    Steup, Martin
    Selbig, Joachim
    Kopka, Joachim
    Geigenberger, Peter
    van Dongen, Joost T.
    PLANT BIOTECHNOLOGY JOURNAL, 2010, 8 (08) : 900 - 911
  • [22] Diagnostic Model of Alzheimer's Disease in the Elderly Based on Protein and Metabolic Biomarkers
    Yang, Li
    Xuan, Cheng
    Yu, Caiyan
    Zheng, Pinpin
    Yan, Jing
    JOURNAL OF ALZHEIMERS DISEASE, 2022, 85 (03) : 1163 - 1174
  • [23] Identifying areas of animal welfare concern in different production stages in Danish pig herds using the Danish Animal Welfare Index (DAWIN)
    Michelsen, Anne Marie
    Hakansson, Franziska
    Pedersen Lund, Vibe
    Kirchner, Marlene Katharina
    Otten, Nina Dam
    Denwood, Matthew
    Rousing, Tine
    Houe, Hans
    Forkman, Bjorn
    ANIMAL WELFARE, 2023, 32
  • [24] A study of calcium metabolism in sheep using a mathematical model
    Dias, R. S.
    Roque, A. P.
    Vitti, D. M. S. S.
    Kebreab, E.
    France, J.
    CANADIAN JOURNAL OF ANIMAL SCIENCE, 2009, 89 (01) : 138 - 138
  • [25] Metabolic biomarkers of neonatal sepsis: identification using metabolomics combined with machine learning
    Bian, Zhaonan
    Zha, Xinyi
    Chen, Yanru
    Chen, Xuting
    Yin, Zhanghua
    Xu, Min
    Zhang, Zhongxiao
    Qian, Jihong
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2024, 12
  • [26] Application of Citizen Science to Sheep as a Model to Sensitize Young Citizens to Biodiversity, Animal Welfare and the Social Utility of Research
    Moscatelli, Sara
    Paniccia, Anna
    Palmioli, Elisa
    Del Gobbo, Laura
    Mercati, Francesca
    Scocco, Paola
    ANIMALS, 2025, 15 (02):
  • [27] Identifying metabolic shifts in Crohn's disease using' omics-driven contextualized computational metabolic network models
    Fernandes, Philip
    Sharma, Yash
    Zulqarnain, Fatima
    McGrew, Brooklyn
    Shrivastava, Aman
    Ehsan, Lubaina
    Payne, Dawson
    Dillard, Lillian
    Powers, Deborah
    Aldridge, Isabelle
    Matthews, Jason
    Kugathasan, Subra
    Fernandez, Facundo M.
    Gaul, David
    Papin, Jason A.
    Syed, Sana
    SCIENTIFIC REPORTS, 2023, 13 (01):
  • [28] Identifying Candidate Serum Biomarkers of Exposure to Tunicamycins in Rats Using Two-Dimensional Electrophoresis
    Penno, Megan A. S.
    Bacic, Antony
    Colegate, Steven M.
    Hoffmann, Peter
    Michalski, Wojtek P.
    JOURNAL OF PROTEOME RESEARCH, 2009, 8 (06) : 2812 - 2826
  • [29] Identifying potential biomarkers for non-obstructive azoospermia using WGCNA and machine learning algorithms
    Tang, Qizhen
    Su, Quanxin
    Wei, Letian
    Wang, Kenan
    Jiang, Tao
    FRONTIERS IN ENDOCRINOLOGY, 2023, 14
  • [30] Immunological aspects of pregnancy: Concepts and speculations using the sheep as a model
    Hansen, PJ
    Liu, WJ
    ANIMAL REPRODUCTION SCIENCE, 1996, 42 (1-4) : 483 - 493