Analyze Diet
Veterinary sciences2026; 13(9); 938; doi: 10.3390/vetsci13090938

Beyond Body Condition Score: A Proposed Interspecies Framework for Tissue-by-Tissue Nutritional Assessment in Veterinary Practice.

Abstract: In clinical veterinary medicine, the Body Condition Score (BCS) serves as a validated, semi-quantitative estimation of subcutaneous adipose reserves, yet it cannot by itself detect systemic nutrient deficiencies or excesses that do not necessarily imply energy storage. Human clinical dietetics addressed an analogous diagnostic gap through the Nutrition-Focused Physical Examination (NFPE), but veterinary medicine still lacks a unified, multi-species physical examination sequence for nutritional screening. This narrative review synthesizes the comparative and clinical nutrition literature into a proposed, operational interspecies framework for nutritional assessment, designed to complement the BCS and the Muscle Condition Score (MCS) within the existing WSAVA and AAHA nutritional assessment guidelines. The approach sequences a detailed feeding and behavioural anamnesis with a systematic, tissue-by-tissue physical examination of the integument, mucous membranes, skeleton, muscle and joints, and endocrine-metabolic status, supported by metabolic and haematological profiling. Seven synoptic diagnostic tables link observable clinical signs to specific micro- and macronutrient imbalances, the underlying nutritional mechanisms, and the species-specific dependence on key nutrients. Key interspecific determinants are integrated to support differential diagnosis and to caution against uncritical cross-species extrapolation. Each clinical entry is explicitly classified as a primary nutrient deficiency or excess, a nutrition-responsive or nutrition-related metabolic disease, a disease causing secondary malnutrition, or a management or behavioural determinant of intake, and each table states the principal non-nutritional differentials and the confirmatory test required, so that the tables function as screening prompts. The resulting semiotic methodology is intended to extend nutritional assessment beyond fatness (assessed on extension of explorable sub-cutaneous adipose tissue) towards whole-body nourishment. It is presented as a proposed framework and not as a validated instrument, and it requires prospective validation before any routine clinical adoption across animal species. The supporting evidence is substantially stronger for dogs, cats, horses, and ruminants than for avian, reptile, and small exotic mammal species, for which the present extension is a proof of concept requiring dedicated species-specific validation.
Publication Date: 2026-09-10 PubMed ID: 42797973PubMed Central: PMC13612025DOI: 10.3390/vetsci13090938Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article
  • Review

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

Overview

  • This research article proposes a new, detailed framework for assessing nutritional status in veterinary practice that goes beyond the common Body Condition Score (BCS) by evaluating multiple tissues to detect nutrient imbalances across different animal species.
  • The framework integrates a systematic physical examination with clinical signs and diagnostic tables, aiming to improve nutritional diagnosis in animals such as dogs, cats, horses, and ruminants, while recognizing the need for further validation, especially for less-studied species.

Background and Rationale

  • Body Condition Score (BCS) is widely used in clinical veterinary medicine to estimate subcutaneous fat reserves but does not adequately detect systemic nutrient deficiencies or excesses unrelated to fat storage.
  • In human medicine, the Nutrition-Focused Physical Examination (NFPE) addresses nutrient status more comprehensively, but no analogous unified, multi-species framework currently exists in veterinary practice.
  • This article identifies this diagnostic gap and aims to develop an operational, interspecies nutritional assessment framework to complement existing methods like BCS and Muscle Condition Score (MCS).

Proposed Framework Structure

  • The framework begins with a detailed anamnesis covering diet and behavior to understand feeding patterns and possible nutritional risks.
  • A tissue-by-tissue physical examination is performed, examining the integument (skin and hair), mucous membranes, skeleton, muscles and joints, and endocrine-metabolic status.
  • Assessment is supported by laboratory tests including metabolic and hematological profiling to corroborate clinical findings.

Diagnostic Tools and Interpretation

  • Seven synoptic diagnostic tables are included, linking observable clinical signs to specific micro- and macronutrient imbalances and the mechanisms causing these imbalances.
  • Each clinical sign is categorized as one of four types:
    • Primary nutrient deficiency or excess
    • Nutrition-responsive or nutrition-related metabolic disease
    • Disease causing secondary malnutrition
    • Management or behavioral causes affecting nutrient intake
  • Tables include non-nutritional differential diagnoses and confirmatory tests, acting as screening prompts and guiding clinicians on next steps.
  • The framework explicitly integrates interspecies differences, cautioning practitioners about the risks of uncritical extrapolation between species.

Significance and Innovation

  • This methodology expands assessment from simple fat measurement to evaluating overall body nourishment and nutrient status at the tissue level.
  • It aims to improve early detection of nutrient imbalances that could affect health and treatment outcomes but are not apparent from fat scoring alone.
  • The framework unifies clinical nutrition assessment across diverse animal species with an evidence-based and semiotic (sign-based) approach.

Limitations and Future Directions

  • The framework is a proposed concept and has not yet been validated through prospective clinical studies.
  • Current supporting evidence is strongest for common domestic species like dogs, cats, horses, and ruminants.
  • For avian, reptile, and exotic small mammal species, this framework serves as a proof of concept and requires species-specific validation due to limited existing data.
  • Further research is needed to refine the diagnostic tables, confirm clinical utility, and develop standardized protocols for veterinary use.

Conclusion

  • The article offers a valuable step towards enhancing veterinary nutritional diagnostics by integrating physical and clinical nutrition examination beyond body fat estimation.
  • By providing a tissue-specific, multispecies framework linked to nutrient imbalances and clinical signs, it supports more nuanced and effective veterinary nutritional care.
  • As a proposed tool, it encourages further validation and adoption tailored to different species to improve animal health outcomes related to nutrition.

Cite This Article

APA
Cappai MG. (2026). Beyond Body Condition Score: A Proposed Interspecies Framework for Tissue-by-Tissue Nutritional Assessment in Veterinary Practice. Vet Sci, 13(9), 938. https://doi.org/10.3390/vetsci13090938

Publication

ISSN: 2306-7381
NlmUniqueID: 101680127
Country: Switzerland
Language: English
Volume: 13
Issue: 9
PII: 938

Researcher Affiliations

Cappai, Maria Grazia
  • Department of Innovation, University of Sassari, via Porto Romano 8, 07026 Olbia, Italy.
  • Nutrition Desk Unit of the Veterinary Teaching Hospital, Department of Veterinary Medicine, University of Sassari, via Vienna n. 2, 07100 Sassari, Italy.

Conflict of Interest Statement

The author declares no conflicts of interest.

References

This article includes 68 references
  1. Freeman L, Becvarova I, Cave N, MacKay C, Nguyen P, Rama B, Takashima G, Tiffin R, Tsjimoto H. WSAVA Nutritional Assessment Guidelines. J. Small Anim. Pract. 2011;52:385–396.
  2. Zechariah S, Waller JL, De Leo G, Stallings J, Gess AJ, Lehman L. Content and Face Validation of a Novel, Interactive Nutrition Specific Physical Exam Competency Tool (INSPECT) to Evaluate Registered Dietitians’ Competence: A Delphi Consensus from the United States. Healthcare 2021;9:1225.
    doi: 10.3390/healthcare9091225pmc: PMC8472113pubmed: 34574998google scholar: lookup
  3. Cline MG, Burns KM, Coe JB, Downing R, Durzi T, Murphy M, Parker V. 2021 AAHA Nutrition and Weight Management Guidelines for Dogs and Cats. J. Am. Anim. Hosp. Assoc. 2021;57:153–178.
    doi: 10.5326/JAAHA-MS-7232pubmed: 34228790google scholar: lookup
  4. Zechariah S, Lehman L, Waller JL, De Leo G, Stallings J, Gess AJ. Item Generation in the Development of an Interactive Nutrition Specific Physical Exam Competency Tool (INSPECT): A Qualitative Study Utilizing Technology-Based Focus Groups in the United States. Healthcare 2021;9:576.
    doi: 10.3390/healthcare9050576pmc: PMC8152489pubmed: 34068041google scholar: lookup
  5. Zechariah S, Waller JL, Stallings J, Gess AJ, Lehman L. Inter-Rater and Intra-Rater Reliability of the INSPECT (Interactive Nutrition Specific Physical Exam Competency Tool) Measured in Multi-Site Acute Care Settings. Healthcare 2022;10:212.
    doi: 10.3390/healthcare10020212pmc: PMC8872305pubmed: 35206827google scholar: lookup
  6. Petrovski KR, Kirkwood RN, Teixeira Rodrigues de Almeida S, Caetano M. A Proposed Framework for Nutritional Assessment in Compromised Ruminants. Ruminants 2025;5:57.
    doi: 10.3390/ruminants5040057google scholar: lookup
  7. Teixeira Rodrigues de Almeida S, Caetano M, Kirkwood RN, Petrovski KR. The Basics of Clinical Nutrition for Compromised Ruminants—A Narrative Review. Ruminants 2025;5:51.
    doi: 10.3390/ruminants5040051google scholar: lookup
  8. Freeman LM, Michel KE, Zanghi BM, Vester Boler BM, Fages J. Evaluation of the use of muscle condition score and ultrasonographic measurements for assessment of muscle mass in dogs. Am. J. Vet. Res. 2019;80:595–600.
    doi: 10.2460/ajvr.80.6.595pubmed: 31140851google scholar: lookup
  9. Freeman LM, Michel KE, Zanghi BM, Vester Boler BM, Fages J. Usefulness of muscle condition score and ultrasonographic measurements for assessment of muscle mass in cats with cachexia and sarcopenia. Am. J. Vet. Res. 2020;81:254–259.
    doi: 10.2460/ajvr.81.3.254pubmed: 32101040google scholar: lookup
  10. Michel KE, Anderson W, Cupp C, Laflamme D. Correlation of a feline muscle mass score with body composition determined by dual-energy X-ray absorptiometry. Br. J. Nutr. 2011;106:S57–S59.
    doi: 10.1017/S000711451100050Xpubmed: 22005437google scholar: lookup
  11. Ospina PA, McArt JA, Overton TR, Stokol T, Nydam DV. Using Nonesterified Fatty Acids and β-Hydroxybutyrate Concentrations During the Transition Period for Herd-Level Monitoring. Vet. Clin. N. Am. Food Anim. Pract. 2013;29:387–412.
    doi: 10.1016/j.cvfa.2013.04.003pubmed: 23809897google scholar: lookup
  12. Kaneko JJ, Harvey JW, Bruss ML. Clinical Biochemistry of Domestic Animals. 6th ed. Academic Press; San Diego, CA, USA: 2008.
  13. Hensel P. Nutrition and skin diseases in veterinary medicine. Clin. Dermatol. 2010;28:686–693.
  14. Van Ryssen JBJ, Webb EC. Copper nutritional status of free-ranging wild ruminants in southern Africa. S. Afr. J. Anim. Sci. 2026;56:65–78.
    doi: 10.17159/sajas.v56i03.01google scholar: lookup
  15. Ihrke PJ, Goldschmidt MH. Vitamin A-responsive dermatosis in the dog. J. Am. Vet. Med. Assoc. 1983;182:687–690.
    doi: 10.2460/javma.1983.182.07.687pubmed: 6221006google scholar: lookup
  16. Van De Sluis B, Rothuizen J, Pearson PL, van Oost BA, Wijmenga C. Identification of a new copper metabolism gene by positional cloning in a purebred dog population.. Hum. Mol. Genet. 2002;11:165–173.
    doi: 10.1093/hmg/11.2.165pubmed: 11809725google scholar: lookup
  17. Colombini S. Canine zinc-responsive dermatosis.. Vet. Clin. N. Am. Small Anim. Pract. 1999;29:1373–1383.
    doi: 10.1016/S0195-5616(99)50133-2pubmed: 10563006google scholar: lookup
  18. Colombini S, Dunstan RW. Zinc-responsive dermatosis in northern-breed dogs: 17 cases (1990–1996). J. Am. Vet. Med. Assoc. 1997;211:451–453.
    doi: 10.2460/javma.1997.211.04.451pubmed: 9267507google scholar: lookup
  19. National Research Council. Nutrient Requirements of Swine.. 11th ed. National Academies Press; Washington, DC, USA: 2012.
  20. Anonymous. Pellagra in Man and Black Tongue in Dogs found to be due to Similar Cause.. Ann. Intern. Med. 1928;2:388–389.
    doi: 10.7326/0003-4819-2-4-388google scholar: lookup
  21. Morris JG. Idiosyncratic nutrient requirements of cats appear to be diet-induced evolutionary adaptations.. Nutr. Res. Rev. 2002;15:153–168.
    doi: 10.1079/NRR200238pubmed: 19087402google scholar: lookup
  22. Macdonald ML, Rogers QR, Morris JG. Nutrition of the domestic cat, a mammalian carnivore.. Annu. Rev. Nutr. 1984;4:521–562.
  23. Drouin G, Godin J-R, Pagé B. The Genetics of Vitamin C Loss in Vertebrates.. Curr. Genom. 2011;12:371–378.
    doi: 10.2174/138920211796429736pmc: PMC3145266pubmed: 22294879google scholar: lookup
  24. He X, Li Y, Li M, Jia G, Dong H, Zhang Y, He C, Wang C, Deng L, Yang Y. Hypovitaminosis A coupled to secondary bacterial infection in beef cattle.. BMC Vet. Res. 2012;8:222.
    doi: 10.1186/1746-6148-8-222pmc: PMC3534487pubmed: 23151297google scholar: lookup
  25. Cappai MG, Lunesu MG, Accioni F, Liscia M, Pusceddu M, Burrai L, Nieddu M, Dimauro C, Boatto G, Pinna W. Blood serum retinol levels in Asinara white donkeys reflect albinism-induced metabolic adaptation to photoperiod at Mediterranean latitudes.. Ecol. Evol. 2017;7:390–398.
    doi: 10.1002/ece3.2613pmc: PMC5216663pubmed: 28070301google scholar: lookup
  26. Uhl EW. The pathology of vitamin D deficiency in domesticated animals: An evolutionary and comparative overview.. Int. J. Paleopathol. 2018;23:100–109.
    doi: 10.1016/j.ijpp.2018.03.001pubmed: 29544996google scholar: lookup
  27. Goff JP. Calcium and magnesium disorders.. Vet. Clin. N. Am. Food Anim. Pract. 2014;30:359–381.
    doi: 10.1016/j.cvfa.2014.04.003pubmed: 24980727google scholar: lookup
  28. Ballocco I, Cappai MG, Evangelisti MA, Carta G, Pirari E, Manunta MLG. Pelvic fracture triggering symptoms of an underlying primary hypoparathyroidism in an adult spayed bitch: A case report.. J. Anim. Physiol. Anim. Nutr. 2019;105:119–123.
    doi: 10.1111/jpn.13187pubmed: 31456288google scholar: lookup
  29. Hazewinkel HAW, Tryfonidou MA. Vitamin D3 metabolism in dogs.. Mol. Cell. Endocrinol. 2002;197:23–33.
    doi: 10.1016/S0303-7207(02)00275-7pubmed: 12431792google scholar: lookup
  30. Machado M, Castro MB, Gimeno EJ, Barros SS, Riet-Correa F. Enzootic calcinosis in ruminants: A review.. Toxicon. 2020;187:1–9.
    doi: 10.1016/j.toxicon.2020.08.009pubmed: 32798504google scholar: lookup
  31. Mello J.R.B.. Calcinosis—Calcinogenic plants. Toxicon 2003;41:1–12.
    doi: 10.1016/S0041-0101(02)00241-6pubmed: 12467655google scholar: lookup
  32. Drobatz K.J., Casey K.K.. Eclampsia in dogs: 31 cases (1995–1998). J. Am. Vet. Med. Assoc. 2000;217:216–219.
    doi: 10.2460/javma.2000.217.216pubmed: 10909462google scholar: lookup
  33. Lilburn M.S.. Centennial Review: Trace mineral research with an emphasis on manganese. Poult. Sci. 2021;100:101222.
    doi: 10.1016/j.psj.2021.101222pmc: PMC8271170pubmed: 34246084google scholar: lookup
  34. Delesalle C., de Bruijn M., Wilmink S., Vandendriessche H., Mol G., Boshuizen B., Plancke L., Grinwis G.. White muscle disease in foals: Focus on selenium soil content. A case series. BMC Vet. Res. 2017;13:121.
    doi: 10.1186/s12917-017-1040-5pmc: PMC5415829pubmed: 28468621google scholar: lookup
  35. Fayyad A.F., Alzuheir I.M.. Pathological detection of nutritional muscular dystrophy in dromedary camel calves in Palestine. Iraqi J. Vet. Sci. 2023;37:943–947.
  36. Hosnedlova B., Kepinska M., Skalickova S., Fernandez C., Ruttkay-Nedecky B., Malevu T.D., Sochor J., Baron M., Melcova M., Zidkova J.. A Summary of New Findings on the Biological Effects of Selenium in Selected Animal Species—A Critical Review. Int. J. Mol. Sci. 2017;18:2209.
    doi: 10.3390/ijms18102209pmc: PMC5666889pubmed: 29065468google scholar: lookup
  37. Ekinci G., Eren M., Yağlı K., Bendeş C., Ekebaş G., Tüfekçi E., Güzel S., Çakır Bayram L., Onmaz A.C., Güneş V.. Evaluation of Cardiac Biomarkers in Lambs with White Muscle Disease. Vet. Sci. 2025;12:774.
    doi: 10.3390/vetsci12080774pmc: PMC12390671pubmed: 40872724google scholar: lookup
  38. Divers T.J., Mohammed H.O., Cummings J.F., Valentine B.A., de Lahunta A., Jackson C.A., Summers B.A.. Equine motor neuron disease: Findings in twenty-eight horses and proposal of a pathophysiological mechanism for the disease. Equine Vet. J. 1994;26:409–415.
  39. Cappai M.G., Pudda F., Wolf P., Accioni F., Boatto G., Pinna W.. Variation of hematochemical profile and vitamin E status in Feral Giara Horses. J. Equine Vet. Sci. 2020;94:103220.
    doi: 10.1016/j.jevs.2020.103220pubmed: 33077079google scholar: lookup
  40. Cappai M.G., Taras A., Cossu I., Cherchi R., Dimauro C., Accioni F., Boatto G., Deroma M., Spanu E., Gatta D.. Effects of Dietary Zn/Se and α-Tocopherol Supplementation on Metabolic Milieu, Haemogram and Semen Traits of Breeding Stallions. Biol. Trace Elem. Res. 2021;199:3287–3296.
    doi: 10.1007/s12011-020-02447-7pmc: PMC8257538pubmed: 33098077google scholar: lookup
  41. Mizisin A.P., Shelton G.D., Burgers M.L., Powell H.C., Cuddon P.A.. Neurological complications associated with spontaneously occurring feline diabetes mellitus. J. Neuropathol. Exp. Neurol. 2002;61:872–884.
    doi: 10.1093/jnen/61.10.872pubmed: 12387453google scholar: lookup
  42. Mizisin A.P., Nelson R.W., Sturges B.K., Vernau K.M., LeCouteur R.A., Williams D.C., Burgers M.L., Shelton G.D.. Comparable myelinated nerve pathology in feline and human diabetes mellitus. Acta Neuropathol. 2007;113:431–442.
    doi: 10.1007/s00401-006-0163-8pubmed: 17237938google scholar: lookup
  43. Barbeau-Grégoire M., Otis C., Cournoyer A., Moreau M., Lussier B., Troncy E.. A 2022 Systematic Review and Meta-Analysis of Enriched Therapeutic Diets and Nutraceuticals in Canine and Feline Osteoarthritis. Int. J. Mol. Sci. 2022;23:10384.
    doi: 10.3390/ijms231810384pmc: PMC9499673pubmed: 36142319google scholar: lookup
  44. Center S.A., Harte J., Watrous D., Reynolds A., Watson T.D.G., Markwell P.J., Millington D.S., Wood P.A., Yeager A.E., Erb H.N.. The clinical and metabolic effects of rapid weight loss in obese pet cats and the influence of supplemental oral L-carnitine. J. Vet. Intern. Med. 2000;14:598–608.
  45. Center S.A., Warner K.L., Randolph J.F., Sunvold G.D., Vickers J.R.. Influence of dietary supplementation with L-carnitine on metabolic rate, fatty acid oxidation, body condition, and weight loss in overweight cats. Am. J. Vet. Res. 2012;73:1002–1015.
    doi: 10.2460/ajvr.73.7.1002pubmed: 22738052google scholar: lookup
  46. Verbrugghe A, Bakovic M. Peculiarities of one-carbon metabolism in the strict carnivorous cat and the role in feline hepatic lipidosis.. Nutrients 2013;5:2811–2835.
    doi: 10.3390/nu5072811pmc: PMC3739000pubmed: 23877091google scholar: lookup
  47. Morrone S, Sechi S, Carta C, Senes A, Cocco R, Pinna Parpaglia ML, Sanna Passino E, Cappai MG. Nutritional management of hyperlipaemia in a jenny: A brief report.. Vet. Res. Commun. 2024;48:3323–3329.
    doi: 10.1007/s11259-024-10460-7pmc: PMC11442551pubmed: 38963468google scholar: lookup
  48. Frank N, Geor RJ, Bailey SR, Durham AE, Johnson PJ. Equine Metabolic Syndrome.. J. Vet. Intern. Med. 2010;24:467–475.
  49. Radin MJ, Sharkey LC, Holycross BJ. Adipokines: A review of biological and analytical principles and an update in dogs, cats, and horses.. Vet. Clin. Pathol. 2009;38:136–156.
  50. Cappai MG, Liesegang A, Dall’Aglio C, Coppa G, Pirino C, Mercati F, Pinna W. Metabolic milieu and localization of ovarian leptin and receptor in queens under different reproduction phases.. Vet. Res. Commun. 2022;46:603–608.
    doi: 10.1007/s11259-021-09864-6pubmed: 34766254google scholar: lookup
  51. Verbrugghe A, Hesta M. Cats and Carbohydrates: The Carnivore Fantasy?. Vet. Sci. 2017;4:55.
    doi: 10.3390/vetsci4040055pmc: PMC5753635pubmed: 29140289google scholar: lookup
  52. Cohn LA, Dodam JR, McCaw DL, Tate DJ. Effects of chromium supplementation on glucose tolerance in obese and nonobese cats.. Am. J. Vet. Res. 1999;60:1360–1363.
    doi: 10.2460/ajvr.1999.60.11.1360pubmed: 10566809google scholar: lookup
  53. Aschenbach JR, Penner GB, Stumpff F, Gäbel G. Ruminant Nutrition Symposium: Role of fermentation acid absorption in the regulation of ruminal pH.. J. Anim. Sci. 2011;89:1092–1107.
    doi: 10.2527/jas.2010-3301pubmed: 20952531google scholar: lookup
  54. Niemiec BA. Periodontal disease.. Top. Companion Anim. Med. 2008;23:72–80.
    doi: 10.1053/j.tcam.2008.02.003pubmed: 18482707google scholar: lookup
  55. Guy M, Teixeira A, Shrier A, Meschter C, Bolognese J, Chaturvedi P. Effects of orally administered crofelemer on the incidence and severity of neratinib-induced diarrhea in female dogs.. PLoS ONE 2024;19:e0282769.
  56. Cave N, Delaney SJ, Larsen JA. Nutritional management of gastrointestinal diseases. 2nd ed. Wiley-Blackwell; Hoboken, NJ, USA: 2023; pp. 235–298.
  57. Overall KL. Clinical Behavioral Medicine for Small Animals. .
  58. Bijsmans E, Quéau Y, Biourge V. Increasing Dietary Potassium Chloride Promotes Urine Dilution and Decreases Calcium Oxalate Relative Supersaturation in Healthy Dogs and Cats.. Animals 2021;11:1809.
    doi: 10.3390/ani11061809pmc: PMC8234551pubmed: 34204431google scholar: lookup
  59. Queau Y. Nutritional Management of Urolithiasis.. Vet. Clin. N. Am. Small Anim. Pract. 2019;49:175–186.
    doi: 10.1016/j.cvsm.2018.10.004pubmed: 30583809google scholar: lookup
  60. Cappai MG, Picciau M, Pinna W. An integrated approach towards the nutritional assessment of the Sardinian donkey: A tool for clinical nutritionists.. Ital. J. Anim. Sci. 2013;12:e29.
    doi: 10.4081/ijas.2013.e29google scholar: lookup
  61. Cappai MG, Senes A, Pilo G. Albinism and Blood Cell Profile: The Peculiar Case of Asinara Donkeys. Animals 2024;14:2641.
    doi: 10.3390/ani14182641pmc: PMC11429210pubmed: 39335231google scholar: lookup
  62. Cappai MG, Taras A, Biggio GP, Dimauro C, Gatta D, Cossu I, Cherchi R, Pinna W. NEFA, BHBa, UREA and Liver Enzyme Variation in the Bloodstream of Weaned Foals up to 18 Months of Age. Animals 2021;11:1746.
    doi: 10.3390/ani11061746pmc: PMC8230655pubmed: 34208044google scholar: lookup
  63. Bauer JE. Facilitative and functional fats in diets of cats and dogs. J. Am. Vet. Med. Assoc. 2006;229:680–684.
    doi: 10.2460/javma.229.5.680pubmed: 16948573google scholar: lookup
  64. Calder PC. Marine omega-3 fatty acids and inflammatory processes: Effects, mechanisms and clinical relevance. Biochim. Biophys. Acta (BBA) —Mol. Cell Biol. Lipids 2015;1851:469–484.
    doi: 10.1016/j.bbalip.2014.08.010pubmed: 25149823google scholar: lookup
  65. National Research Council. Nutrient Requirements of Dogs and Cats. .
  66. Rivers JPW, Sinclair AJ, Crawford MA. Inability of the cat to desaturate essential fatty acids. Nature 1975;258:171–173.
    doi: 10.1038/258171a0pubmed: 1186900google scholar: lookup
  67. Lavin TE, Nielsen BD, Zingsheim JN, O’Connor-Robison CI, Link JE, Hill GM, Shelton J. Effects of phytase supplementation in mature horses fed alfalfa hay and pelleted concentrate diets. J. Anim. Sci. 2013;91:1719–1727.
    doi: 10.2527/jas.2012-5081pubmed: 23408815google scholar: lookup
  68. Van Doorn DA, Everts H, Wouterse H, Beynen AC. The apparent digestibility of phytate phosphorus and the influence of supplemental phytase in horses. J. Anim. Sci. 2004;82:1756–1763.
    doi: 10.2527/2004.8261756xpubmed: 15217003google scholar: lookup

Citations

This article has been cited 0 times.