ArticleBMC veterinary research2020
Evaluation of salivary vasopressin as an acute stress biomarker in healthy dogs with stress due to noise and environmental challenges.
Article in BMC veterinary research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Rethinking dog stress behaviours: contextual and physiological insights from the attachment framework.The veterinary quarterly · 2026Article
- Differences in cortisol levels between preterm and term infants: a systematic review and meta-analysis combined with Mendelian randomization study.Frontiers in pediatrics · 2026Review
- Tracking Epidermal Cortisol and Oxytocin in Managed Bottlenose Dolphins as Potential Non-Invasive Physiological Welfare Indicators.Animals : an open access journal from MDPI · 2025Article
- A Scoping Review on Salivary Oxytocin and Vasopressin Measurement in the Dog.Animals : an open access journal from MDPI · 2025Review
- Breeding values and index creation for health and behavior traits in Labrador Retriever guide dogs.Frontiers in veterinary science · 2025Article
- Short-term effects of brachycephalic obstructive airway syndrome surgery on fitness and exercise in brachycephalic dogs.Frontiers in veterinary science · 2025Article
- Investigation of stress in dogs during an MRI examination in response to hearing protection.PloS one · 2024Article
- Article
- Copeptin: a neuroendocrine biomarker of COVID-19 severity.Biomarkers in medicine · 2022Article
- An Investgation About the Relationship Between Vasopressin and Oxytocin in Persistent Type Functional Neurological Symptom Disorder.Psychiatry investigation · 2021Article
- Cortisol Levels of Shelter Dogs in Animal Assisted Interventions in a Prison: An Exploratory Study.Animals : an open access journal from MDPI · 2021Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundStress is associated with various detrimental changes in physiological health that affect an animal's quality of life. The hypothalamus-pituitary-adrenal (HPA) axis and the sympathetic-adreno-medullar (SAM) axis are two main physiological pathways that constitute the stress response of an organism. Arginine vasopressin (AVP) is a mediator of the HPA axis and is known to be related to social behaviours and stress. The serum concentration of AVP is higher in more aggressive dogs and humans with post-traumatic stress disorder. Salivary biomarker analysis is a non-invasive method to assess stress. The purpose of this study was to evaluate the possibility of using salivary AVP as an acute stress biomarker in dogs. Salivary AVP concentration was measured before and after exposure to all relevant environmental stimuli (i.e. car trip to the lab, physical examination by the veterinarian, and sampling procedure,) and then after 30 min of vacuum noise exposure. Behavioural assessments, physiologic parameter assessments, and serum cortisol analysis were conducted in combination. Statistical analysis was conducted separately in the total study population, the less stressed group, and the more stressed group, respectively.
resultsBased on stress behaviour analysis scores, 28 dogs were classified into less or more stressed groups. All four physiologic parameters (blood pressure, body temperature, heart rate, and respiratory rate) were significantly increased after noise and environmental challenges, in the more stressed group. Serum cortisol did not show any significant change. Salivary AVP significantly decreased after noise and environmental stimulation in the more stressed group but not in the less stressed group. Salivary AVP and blood pressure changes were negatively correlated in the more stressed group.
conclusionSalivary AVP may be a potential acute stress biomarker in dogs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.