Translating Human and Animal Model Studies to Dogs' and Cats' Veterinary Care: Beta-Glucans Application for Skin Disease, Osteoarthritis, and Inflammatory Bowel Disease Management.
Andressa Rodrigues AmaralLarissa Wünsche RisoliaMariana Fragoso RentasPedro Henrique MarchiJúlio Cesar de Carvalho BalieiroThiago Henrique Annibale VendraminiMárcio Antonio BrunettoPublished in: Microorganisms (2024)
The inclusion of beta-glucans in dog and cat food is associated with numerous beneficial effects on the health of these animals. In this regard, there is an effort to elucidate the potential of this nutraceutical in chronic patients. Since there is a lack of a review on the topic, this review article aims to compile and discuss the evidence found to date. Atopic dermatitis, inflammatory bowel disease, and osteoarthritis are diseases of significant clinical relevance in dogs and cats. In general, the pathophysiology of these chronic conditions is related to immune-mediated and inflammatory mechanisms. Therefore, the immunomodulation and anti-inflammatory effects of beta-glucans are highlighted throughout this review. The available information seems to indicate that the studies on beta-glucans' impact on allergic processes in dogs indicate a reduction in clinical signs in atopic dermatitis cases. Additionally, while beta-glucans show promise as a safe supplement, particularly for osteoarthritis, further clinical trials are imperative, especially in uncontrolled environments. Beta-glucans emerge as a potential nutraceutical offering immune benefits for inflammatory bowel disease patients, although extensive research is required to define its optimal origin, molecular weight, dosage, and specific applications across animals suffering from this disease.
Keyphrases
- end stage renal disease
- atopic dermatitis
- clinical trial
- healthcare
- chronic kidney disease
- ejection fraction
- newly diagnosed
- rheumatoid arthritis
- peritoneal dialysis
- public health
- endothelial cells
- prognostic factors
- anti inflammatory
- human health
- machine learning
- mental health
- risk assessment
- ulcerative colitis
- patient reported outcomes
- climate change
- big data
- case control
- deep learning
- study protocol