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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Predictive formulas for food base excess and urine pH estimations of cats

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Author(s):
Jeremias, J. T. [1] ; Nogueira, S. P. [1] ; Brunetto, M. A. [2] ; Pereira, G. T. [1] ; Loureiro, B. A. [1] ; Ferreira, C. S. [1] ; Gomes, M. O. S. [1] ; Carciofi, A. C. [1]
Total Authors: 8
Affiliation:
[1] Sao Paulo State Univ UNESP, BR-14884900 Jaboticabal, SP - Brazil
[2] Univ Sao Paulo, BR-05508270 Sao Paulo - Brazil
Total Affiliations: 2
Document type: Journal article
Source: ANIMAL FEED SCIENCE AND TECHNOLOGY; v. 182, n. 1-4, p. 82-92, JUN 12 2013.
Web of Science Citations: 6
Abstract

Food base excess (BE, mEq/kg) can be calculated from the diet macroelements, together with either the sulfur amino acids methionine and cysteine (BEaa) or total sulfur (BEs) concentrations. The present study compared the use of sulfur or methionine and cysteine for calculating the food BE (experiment 1) and investigated the influence of food BE on blood gas analysis and the urine pH of cats, and proposes a prediction equation to estimate the urine pH of cats fed kibble diets based on the calculated food BE (experiments 2 and 3). In experiment 1, nine healthy, adult cats were used in a change-over design and fed with nine commercial dry cat foods. The cats were housed in metabolism cages over seven days for adaptation and three days for total urine collection. All of the urine produced over 24h was pooled by cat and diet. The cats' acid base status was assessed through blood gas analysis after 10 days of diet consumption. A mean difference of 115 mEq/kg between BE, and BEaa was observed, which could be explained by a greater concentration of sulfur in the whole diet than in methionine and cysteine. Urine pH presented a stronger correlation with food BEs (R-2=0.95; P<0.001) than with food BEaa (R-2 = 0.86; P<0.001). Experiment 2 included 30 kibble diets, and each diet was tested in six cats. The food BEs varied between -180 and +307 mEq/kg, and the urine pH of the cats varied between 5.60 and 7.74. A significant correlation was found between the measured urine pH and the food BEs (urinary pH = 6.269 + {[}0.0036 x BEs] + {[}0.000003 x BEs2]; R-2 = 0.91; P<0.001). In experiment 3, eight kibble diets were tested (food BEs between - 187 mEq/kg and +381 mEq/kg) to validate the equation proposed in experiment 2 and to compare the obtained results with previously published formulae. The results of the proposed formula presented a high concordance correlation coefficient (0.942) and high accuracy (0.979) with the measured values, and the estimates of urine pH did not differ from the values obtained in cats (P>0.05). The cats' venous blood pH, bicarbonate, and blood BE were correlated with food BEs (P<0.001); the consumption of diets with low food BEs induced a reduction in these parameters. In conclusion, food macroelement composition has a strong influence on cats' acid base equilibrium and food BEs calculation is a useful tool to formulate and balance kibble diets for felines. (C) 2013 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 07/08301-9 - Study of the relationship between the food base-excess and urinary pH of cats
Grantee:Aulus Cavalieri Carciofi
Support Opportunities: Regular Research Grants