Essential and Non-Essential Amino Acids in Dogs at Different Stages of Chronic Kidney Disease
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Kumar, M.A.; Bitla, A.R.; Raju, K.V.; Manohar, S.M.; Kumar, V.S.; Narasimha, S.R. Branched chain amino acid profile in early chronic kidney disease. Saudi J. Kidney Dis. Transpl. 2012, 23, 1202–1207. [Google Scholar] [CrossRef] [PubMed]
- Watanabe, M.; Suliman, M.E.; Qureshi, A.R.; Garcia-Lopez, E.; Barany, P.; Heimburger, O.; Stenvinkel, P.; Lindholm, B. Consequences of low plasma histidine in chronic kidney disease patients: Associations with inflammation, oxidative stress, and mortality. Am. J. Clin. Nutr. 2008, 87, 1860–1866. [Google Scholar] [CrossRef] [PubMed]
- Parker, V.J.; Fascetti, A.; Klamer, B.G. Amino acid status in dogs with protein-losing nephropathy. J. Vet. Intern. Med. 2019, 33, 680–685. [Google Scholar] [CrossRef] [PubMed]
- Summers, S.C.; Quimby, J.; Blake, A.; Keys, D.; Steiner, J.M.; Suchodolski, J. Serum and feccal amino acid profiles in cats with chronic kidney disease. Vet. Sci. 2022, 9, 84. [Google Scholar] [CrossRef]
- Brunetto, M.A.; Ruberti, B.; Pereira Halfen, D.; Segalla Caragelasco, D.; Vendramini, T.H.A.; Pedrinelli, V.; Tobaro Macedo, H.; Toloi Jeremias, J.; Fonseca Ferreira Pontieri, C.; Marins Ocampos, F.M.; et al. Evalution of serum and urine amino acids in dogs with chronic kidney disease and healthy dogs fed a renal diet. Metabolites 2021, 11, 782. [Google Scholar] [CrossRef]
- Freeman, L.M. Cachexia and sarcopenia: Emerging syndromes of importance in dogs and cats. J. Vet. Intern. Med. 2012, 26, 3–17. [Google Scholar] [CrossRef]
- Benvenuti, E.; Pierini, A.; Gori, E.; Bartoli, F.; Erba, P.; Ruggiero, P.; Marchetti, V. Serum amino acid profile in 51 dogs with immunosuppressant-responsive enteropathy (IRE): A pilot study on clinical aspects and outcomes. BMC Vet. Res. 2020, 16, 117. [Google Scholar] [CrossRef] [Green Version]
- Lippi, I.; Guidi, G.; Marchetti, V.; Tognetti, R.; Meucci, V. Prognostic role of the product of serum calcium and phosphorus concentrations in dogs with chronic kidney disease: 31 cases (2008–2010). J. Am. Vet. Med. Assoc. 2014, 245, 1135–1140. [Google Scholar] [CrossRef] [Green Version]
- Hanna, R.M.; Ghobry, L.; Wassef, O.; Rhee, C.M.; Kalantar-Zadeh, K. A practical approach to nutrition, protein-energy wasting, sarcopenia, and cachexia in patients with chronic kideny disease. Blood Purif. 2020, 49, 202–211. [Google Scholar] [CrossRef]
- Pedrinelli, V.; Yukari Hayasaki Porsani, M.; Magalhaes Lima, D.; Alves Teixeira, F.; Nogueira Duarte, C.; Vendramini, T.H.A.; Brunetto, M.A. Predictive equations of maintenance energy requirement for healthy and chronically ill adult dogs. J. Anim. Physiol. Anim. Nutr. 2021, 105, 63–69. [Google Scholar] [CrossRef]
- Di Bartola, S. Introduction to acid-base disorders. In Fluid, Electrolyte and Acid Base Disorders in Small Animal Practice, 4th ed.; Di Bartola, S., Ed.; Saunders Elsevier: St Louis, MO, USA, 2011; pp. 231–252. [Google Scholar]
- Vera Aviles, M.; Vantana, E.; Kardinasari, E.; Koh, N.L.; Latunde-Dada, G.O. Protective role of histidine supplementation against oxidative stress damage in the management of anemia of chronic kidney disease. Pharmaceuticals 2018, 11, 111. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kaplan, P.; Matejovicova, M.; Herijgers, P.; Flameng, W. Effect of free radical scavengers on myocardial function and Na+, K+-ATPase activity in stunned rabbit myocardium. Scand. Cardiovasc. J. 2005, 39, 213–219. [Google Scholar] [CrossRef] [PubMed]
- Malgorzewicz, S.; Debska-Slizien, A.; Rutkowski, B.; Lysiak-Szydlowska, W. Serum concentration of amino acids versus nutritional status in hemodialysis patients. J. Ren. Nutr. 2008, 18, 239–247. [Google Scholar] [CrossRef] [PubMed]
- Rhee, E.P.; Thadhani, R. New insights into uremia-induced alterations in metabolic pathways. Curr. Opin. Nephrol. Hypertens. 2011, 20, 593–598. [Google Scholar] [CrossRef]
- Rysz, J.; Franczyk, B.; Lawinski, J.; Olszewski, R.; Cialkowska-Rysz, A.; Gluba-Brzozka, A. The impact of CKD on uremic toxins and gut microbiota. Toxins 2021, 13, 252. [Google Scholar] [CrossRef]
- Duranton, F.; Cohen, G.; De Smet, R.; Rodriguez, M.; Jankowski, J.; Vanholder, R.; Argiles, A.; European Uremic Toxin Group. Normal and pathologic concentrations of uremic toxins. J. Am. Soc. Nephrol. 2012, 23, 1258–1270. [Google Scholar] [CrossRef] [Green Version]
- Holecek, M. Branched-chain amino acids in health and disease: Metabolism, alterations in blood plasma, and as supplements. Nutr. Metab. 2018, 15, 33. [Google Scholar] [CrossRef] [Green Version]
- Spoto, B.; Pisano, A.; Zoccali, C. Insulin resistance in chronic kidney disease: A systematic review. Am. J. Physiol. Ren. Physiol. 2016, 311, F1087–F1108. [Google Scholar] [CrossRef] [Green Version]
- Van De Poll, M.C.G.; Soeters, P.B.; Deutz, N.E.P.; Fearon, K.C.H.; Dejong, C.H.C. Renal metabolism of amino acids: Its role in interorgan amino acid exchange. Am. J. Clin. Nutr. 2004, 79, 185–197. [Google Scholar] [CrossRef] [Green Version]
- Fukuda, S.; Kopple, J.D. Uptake and release of amino acids by the kidney of dogs made chronically uremic with uranyl nitrate. Min. Electrolyte. Metabol. 1980, 3, 248. [Google Scholar]
- Fadel, F.I.; Elshamaa, M.F.; Essam, R.G.; Elghoroury, E.A.; El-Saeed, G.S.M.; El-Toukhy, S.E.; Hamed Ibrahim, M. Some amino acids levels: Glutamine, glutamate, and homocysteine, in plasma of children with chronic kidney disease. Int. J. Biomed. Sci. 2014, 10, 36–42. [Google Scholar] [PubMed]
- WiJnands, K.A.P.; Castermans, T.M.R.; Hommen, M.P.J.; Meesters, D.M.; Poeze, M. Arginine and citrulline and the immune response in sepsis. Nutrients 2015, 7, 1426–1463. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Morris, S.M. Arginine metabolism: Boundaries of our knowledge. J. Nutr. 2007, 137, 1602S–1609S. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Vettore, L.A.; Westbrook, R.L.; Tennant, D.A. Proline metabolism and redox; maintaning a balance in health and disease. Amino Acids 2021, 53, 1779–1788. [Google Scholar] [CrossRef] [PubMed]
- Rodriguez, S.D.; Batista, G.B.; Ingberman, M.; Pecoits-Filho, R.; Nakao, L.S. Plasma cysteine/cystine reduction potential correlates with plasma creatinine levels in chronic kidney disease. Blood Purif. 2012, 34, 231–237. [Google Scholar] [CrossRef]
- Rudinsky, A.; Harjes, L.M.; Byron, J.; Chew, D.J.; Toribio, R.E.; Langston, C.; Parker, V.J. Factors associated with survival in dogs with chronic kidney disease. J. Vet. Intern. Med. 2018, 32, 1977–1982. [Google Scholar] [CrossRef] [Green Version]
- Rehman, T.; Shabbir, M.A.; Inam-Ur-Raheem, M.; Manzoor, M.F.; Ahmad, N.; Liu, Z.W.; Ahmad, M.H.; Siddeeg, A.; Abid, M.; Aadil, R.M. Cysteine and homocysteine as biomarker of various diseases. Food Sci. Nutr. 2020, 8, 4696–4707. [Google Scholar] [CrossRef]
- Garibotto, G.; Tessari, P.; Verzola, D.; Dertenois, L. The metabolic conversion of phenylalanine into tyrosine in the human kidney: Does it have nutritional implications in renal patients? J. Ren. Nutr. 2002, 12, 8–16. [Google Scholar] [CrossRef]
- Patschan, D.; Patschan, S.; Ritter, O. Chronic metabolic acidosis in chronic kidney disease. Kidney Blood Press. Res. 2020, 45, 812–822. [Google Scholar] [CrossRef]
- Bellasi, A.; Di Micco, L.; Santoro, D.; Marzocco, S.; De Simone, E.; Cozzolino, M.; Di Lullo, L.; Guastaferro, P.; Di Iorio, B.; UBI Study Investigators. Correction of metabolic acidosis improves insulin resistance in chronic kidney disease. BMC Nephrol. 2016, 17, 158. [Google Scholar] [CrossRef]
- Kovesdy, C.P.; Kopple, J.D.; Kalantar-Zadeh, K. Management of protein-energy wasting in non-dialysis-dependent chronic kidney disease: Reconciling low protein intake with nutritional therapy. Am. J. Clin. Nutr. 2013, 97, 1163–1177. [Google Scholar] [CrossRef] [PubMed] [Green Version]
IRIS 1 (n = 12) | IRIS 2 (n = 16) | IRIS 3 (n = 14) | IRIS 4 (n = 20) | |
---|---|---|---|---|
Creatinine (mg/dL) | 1.4 ± 0.2 | 2.0 ± 0.3 | 2.9 ± 0.8 | 5.5 ± 2.2 |
Urea (mg/dL) | 63.2 ± 22.1 | 94.9 ± 52.7 | 184.3 ± 43.2 | 203.3 ± 80.4 |
Calcium (mg/dL) | 9.5 ± 3.4 | 9.7 ± 1.2 | 10.1 ± 1.5 | 11.5 ± 1.16 |
Phosphate (mg/dL) | 4.5 ± 1.1 | 4.8 ± 0.9 | 5.1 ± 1.2 | 9.2 ± 4.0 |
CaxP (mg2/dL2) | 46.7 ± 5.6 | 48.4 ± 0.2 | 50.7 ± 11.6 | 103.1 ± 40.8 |
Total protein (g/dL) | 6.5 ± 0.7 | 6.4 ± 0.8 | 6.0 ± 0.9 | 6.3 ± 1.0 |
Albumin (g/dL) | 3.4 ± 0.4 | 2.9 ± 0.6 | 3.1 ± 0.5 | 2.9 ± 0.4 |
Bicarbonate (mmol/L) | 21.0 ± 4.6 | 21.2 ± 4.9 | 22.7 ± 5.0 | 19.1 ± 3.8 |
pH | 7.3 ± 0.0 | 7.3 ± 0.0 | 7.2 ± 0.0 | 7.2 ± 0.0 |
CG (n = 25) | IRIS 1 (n = 12) | IRIS 2 (n = 16) | IRIS 3 (n = 14) | IRIS 4 (n = 20) | p-Value | |
---|---|---|---|---|---|---|
EAAs | ||||||
HIS (nmol/mL) | 205.2 ** ± 47.4 | 113.8 * ± 53.2 | 133.1 ± 80.0 | 158.9 ± 68.3 | 121.4 * ± 83.8 | <0.001 |
PHE (nmol/mL) | 12.6 ± 5.1 | 11.5 ± 7.6 | 13.2 ± 7.2 | 14.1 ± 5.9 | 13.63 ± 7.7 | 0.868 |
THR (nmol/mL) | 57.6 ± 20.1 | 36.2 ± 21.5 | 50.0 ± 19.3 | 65.1 ± 28.7 | 48.4 ± 32.2 | 0.05 |
ILE (nmol/mL) | 24.2 ** (12.6–45.4) | 7.8 * (3.2–24.4) | 8.5 * (3.8–38.6) | 11.3 * (2.9–18.2) | 7.18 * (1.3–21.1) | <0.001 |
LEU (nmol/mL) | 10.6 ** (7.7–34.1) | 20.5 (6.4–64.8) | 20.9 * (9.1–43.2) | 25.8 * (5.9–42.1) | 18.10 (2.7–34.0 | <0.001 |
LYS (nmol/mL) | 7.2 ** (3.7–64.0) | 29.7 * (6.6–97.2) | 37.9 * (16.2–102.2) | 59.8 * (13.5–99.7) | 31.7 * (6.3–94.0) | <0.001 |
MET (nmol/mL) | 4.7 (0.3–58.4) | 4.3 (0.9–11.2) | 7.6 (0.2–29.8) | 6.6 (2.8–19.5) | 4.62 (1.1–19.7) | 0.333 |
TRP (nmol/mL) | 48.2 ** (19.6–108.3) | 16.4 * (3.3–38.0) | 16.8 * (7.4–25.0) | 15.6 * (6.2–21.3) | 13.0 * (1.9–28.1) | <0.001 |
VAL (nmol/mL) | 4.8 ** (2.9–14.2) | 23.6 * (8.8–68.5) | 31.0 * (14.0–61.8) | 31.3 * (4.1–60.1) | 20.9 * (1.9–40.7) | <0.001 |
ARG (nmol/mL) | 59.2 (11.4–172.5) | 42.9 ** (11.8–73.1) | 75.5 (25.2–127.8) | 100.2 * (31.2–377.0) | 88.0 * (17.6–348.0) | 0.002 |
NEAAs | ||||||
PRO (nmol/mL) | 11.8 ** ± 13.6 | 37.1 * ± 15.6 | 38.3 * ± 18.0 | 47.3 * ± 15.1 | 32.8 * ± 18.0 | <0.001 |
SER (nmol/mL) | 41.3 ± 14.7 | 25.5 ± 18.0 | 29.3 ± 15.1 | 40.7 ± 17.0 | 29.9 ± 20.0 | 0.002 |
ALA (nmol/mL) | 94.4 ** (56.5–225.9) | 68.0 (21.2–180.7) | 60.2 (38.6–211.2) | 112.1 (20.3–189.8) | 61.4 * (6.9–155.3) | 0.013 |
ASP (nmol/mL) | 1.2 (0.1–5.4) | 1.4 (0.2–5.1) | 1.3 (0.0–7.4) | 3.3 (0.4–7.0) | 2.39 (0.2–5.3) | 0.146 |
CYS (nmol/mL) | 38.9 *** (7.6–73.8) | 3.5 ** (2.1–4.7) | 4.1 * (0.1–8.6) | 4.53 * (3.5–8.1) | 6.52 ** (0.3–17.6) | <0.001 |
GLU (nmol/mL) | 8.7 ** (4.3–20.5) | 15.9 (6.8–71.4) | 18.5 * (4.4–50.3) | 22.5 * (3.3–46.2) | 14.9 (2.1–37.5) | 0.002 |
GLY (nmol/mL) | 48.8 * (28.2–84.3) | 49.1 * (17.3–106.8) | 54.5 (21.3–109.4 | 95.6 ** (29.2–137.5) | 55.8 (7.1–130.4) | 0.010 |
TYR (nmol/mL) | 11.3 (6.2–53.9) | 7.8 (3.4–15.7) | 8.9 (3.6–27.7) | 13.0 (4.0–37.9) | 9.4 (0.1–36.7) | 0.120 |
EAA sum (nmol/mL) | 11,158.7 | 3822.9 | 6534.9 | 7085.6 | 7855.6 | |
median (min-max) | 19.5 (0.3–323.4) | 20.7 (0.0–185.8) | 25.2 (0.0–364.1) | 25.72 (2.89–372.8) | 17.84 (1.1–348.2) | 0.020 |
NEAA sum (nmol/mL) | 6910.5 | 2756.5 | 3940.7 | 4489.6 | 4572.4 | |
median (min-max) | 24.7 (0.1–225.9 | 15.8 (0.2–180.7) | 21.7 (0.0–211.2) | 28.0 (0.4–189.8) | 16.3 (0.1–155.3) | 0.106 |
EAAs | |||||||||
---|---|---|---|---|---|---|---|---|---|
CaxP | p-Value | Metabolic Acidosis | p-Value | PEW | p-Value | ||||
>70 mg2/dL2 (n = 22) | ≤70 mg2/dL2 (n = 40) | MA (n = 30) | nMA (n = 32) | PEW (n = 11) | nPEW (n = 51) | ||||
HIS (nmol/mL) | 130.8 ± 83.4 | 132.2 ± 70.2 | 0.928 | 163.5 ± 87.6 | 123.8 ± 68.0 | 0.077 | 76.4 ± 56.4 | 143.9 ± 75.1 | 0.006 |
PHE (nmol/mL) | 13.8 ± 7.8 | 12.8± 6.7 | 0.592 | 16.7 ± 7.5 | 12.3 ± 6.6 | 0.035 | 9.4 ± 6.6 | 14.05± 7.0 | 0.049 |
THR (nmol/mL) | 54.3 ± 32.7 | 48.0 ± 24.6 | 0.398 | 58.2 ± 26.0 | 48.1 ± 27.1 | 0.214 | 30.3 ± 26.8 | 54.5 ± 26.1 | 0.007 |
ILE (nmol/mL) | 8.4 (1.3–14.3) | 8.5 (2.9–38.6) | 0.141 | 11.5 (1.3–38.6) | 7.5 (1.6–24.4) | 0.068 | 4.3 (1.3–13.3) | 9.4 (2.9–38.6) | 0.001 |
LEU (nmol/mL) | 22.6 (2.7–40.2) | 20.9 (5.9–64.8) | 0.423 | 28.6 (2.7–43.2) | 20.5 (3.3–64.8) | 0.034 | 9.1 (2.7–33.7) | 22.2 (5.9–64.8) | 0.001 |
LYS (nmol/mL) | 51.2 (6.0–95.0) | 37.9 (6.6–102.2) | 0.791 | 54.7 (6.0–99.0) | 34.4 (6.6–102.2) | 0.159 | 29.3 (6.0–83.1) | 46.8 (6.6–102.2) | 0.014 |
MET (nmol/mL) | 6.6 (1.1–19.7) | 6.0 (0.1–29.8) | 0.724 | 7.3 (0.0–17.6) | 5.11 (0.0–29.8) | 0.682 | 4.1 (1.1–19.5) | 6.8 (0.0–29.8) | 0.064 |
TRP (nmol/mL) | 13.0 (1.9–28.0) | 16.7 (3.3–30.1) | 0.025 | 14.7 (1.9–27.2) | 16.3 (3.3–30.0) | 0.657 | 7.9 (1.9–19.7) | 16.3 (3.3–30.0) | 0.003 |
VAL (nmol/mL) | 25.1 (1.9–60.1) | 24.6 (1.7–68.5) | 0.384 | 31.1 (1.9–51.7) | 23.3 (4.1–68.5) | 0.116 | 12.8 (1.9–39.8) | 27.2 (4.1–68.5) | 0.003 |
ARG (nmol/mL) | 88.0 (17.6–348.2) | 72.3 (11.8–372.8) | 0.317 | 100.8 (21.0–233.8) | 72.4 (11.8–372.8) | 0.085 | 71.8 (17.6–87.4) | 77.6 (11.8–372.8) | 0.057 |
NEAAs | |||||||||
CaxP > 70 | CaxP ≤ 70 | p-Value | MA | nMA | p-Value | PEW (n = 11) | nPEW (n = 51) | p-Value | |
PRO (nmol/mL) | 37.5 ± 17.0 | 38.7 ± 17.8 | 0.795 | 43.7 ± 19.4 | 36.8 ± 16.7 | 0.193 | 26.3 ± 14.2 | 40.9 ± 17.0 | 0.011 |
SER (nmol/mL) | 33.1 ± 19.9 | 30.4 ± 17.3 | 0.58 | 38.6 ± 18.2 | 29.2 ± 17.4 | 0.078 | 20.7 ± 16.1 | 33.6 ± 17.9 | 0.031 |
ALA (nmol/mL) | 65.4 (6.9–155.3) | 67.5 (20.3–211.2) | 0.206 | 100.1 (8.01–183.7) | 63.3 (6.9–211.2) | 0.296 | 34.9 (6.9–136.4) | 77.6 (11.8–372.8) | 0.001 |
ASP (nmol/mL) | 2.4 (0.2–7.0) | 1.8 (0.1–7.4) | 0.883 | 3.0 (0.2–7.0) | 1.7 (0.0–7.4) | 0.057 | 0.8 (0.2–4.8) | 2.4 (0.0–7.4) | 0.074 |
CYS (nmol/mL) | 6.0 (0.3–17.6) | 4.1 (0.1–9.0) | 0.003 | 4.9 (3.4–17.6) | 4.6 (0.1–16.0) | 0.375 | 5.7 (4.3–15.9) | 4.2 (0.1–17.6) | 0.010 |
GLU (nmol/mL) | 16.8 (2.1–71.4) | 18.0 (3.3–50.3) | 0.680 | 18.3 (2.1–71.4) | 16.9 (3.0–50.3) | 0.375 | 8.7 (2.1–46.0) | 17.7 (3.3–71.4) | 0.002 |
GLY (nmol/mL) | 78.6 (7.1–130.4) | 60.2 (17.3–137.0) | 0.270 | 83.4 (9.9–129.3) | 60.2 (7.1–137.0) | 0.139 | 45.5 (7.1–102.5) | 63.6 (17.3–137.0) | 0.045 |
TYR (nmol/mL) | 10.4 (0.1–36.7) | 9.35 (3.49–37.90) | 0.883 | 10.8 (0.1–27.7) | 9.0 (2.8–37.9) | 0.330 | 5.5 (0.1–18.5) | 10.3 (3.4–37.9) | 0.016 |
EAA sum (nmol/mL) | 9048.6 | 16,139.4 | 7371.5 | 17,036.7 | 2728.3 | 22,570.7 | |||
median (min-max) | 18.1 (1.1–348.2) | 23.8 (0.1–372.8) | 0.146 | 20.7 (0.0–372.8) | 27.2 (0.1–364.1) | 0.034 | 12.5 (1.1–170.3) | 24.2 (0.0–372.8) | 0.000 |
NEAA sum (nmol/mL) | 5425.4 | 10,257.2 | 4426.3 | 10,751.3 | 1807.2 | 13,952.2 | |||
median (min-max) | 16.4 (0.1–180.7) | 20.4 (0.0–211.2) | 0.4 | 18.4 (0.0–211.2) | 21.3 (0.09–183.6) | 0.1 | 9.6 (0.1–136.4) | 21.0 (0.0–211.2) | 0.001 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Lippi, I.; Perondi, F.; Pierini, A.; Bartoli, F.; Gori, E.; Mariti, C.; Marchetti, V. Essential and Non-Essential Amino Acids in Dogs at Different Stages of Chronic Kidney Disease. Vet. Sci. 2022, 9, 331. https://doi.org/10.3390/vetsci9070331
Lippi I, Perondi F, Pierini A, Bartoli F, Gori E, Mariti C, Marchetti V. Essential and Non-Essential Amino Acids in Dogs at Different Stages of Chronic Kidney Disease. Veterinary Sciences. 2022; 9(7):331. https://doi.org/10.3390/vetsci9070331
Chicago/Turabian StyleLippi, Ilaria, Francesca Perondi, Alessio Pierini, Francesco Bartoli, Eleonora Gori, Chiara Mariti, and Veronica Marchetti. 2022. "Essential and Non-Essential Amino Acids in Dogs at Different Stages of Chronic Kidney Disease" Veterinary Sciences 9, no. 7: 331. https://doi.org/10.3390/vetsci9070331
APA StyleLippi, I., Perondi, F., Pierini, A., Bartoli, F., Gori, E., Mariti, C., & Marchetti, V. (2022). Essential and Non-Essential Amino Acids in Dogs at Different Stages of Chronic Kidney Disease. Veterinary Sciences, 9(7), 331. https://doi.org/10.3390/vetsci9070331