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

机译:猫的食物基础过量和尿液pH值估算的预测公式。

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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 24 h 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 BEs 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 (R2 = 0.95; P<0.001) than with food BEaa (R2 = 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]; R2 = 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. All rights reserved, Elsevier.
机译:饮食中的基本元素,以及硫氨基酸蛋氨酸和半胱氨酸(BE aa )或总硫(BE s )浓度。本研究比较了使用硫或蛋氨酸和半胱氨酸来计算食物BE的含量(实验1),并研究了食物BE对猫的血气分析和尿液pH值的影响,并提出了一个预测方程式来估算猫的尿液pH值。根据计算得出的食物BE(实验2和3),给猫喂粗饲料。在实验1中,将九只健康的成年猫用于转换设计,并喂食了九种商业干猫粮。将猫放在新陈代谢笼子中放置7天以适应,并收集3天收集全部尿液。猫和饮食将24小时内产生的所有尿液汇集起来。饮食10天后,通过血气分析评估了猫的酸碱状态。观察到BE s 和BE aa 之间的平均差值为-115 mEq / kg,这可以解释为整个饮食中硫的浓度高于蛋氨酸和半胱氨酸。尿液pH与食物BE s (R 2 = 0.95; P <0.001)的相关性比与食物BE aa (R > 2 = 0.86; P <0.001)。实验2包括30种粗磨食物,每种饮食都在6只猫中进行了测试。食物BE s 在-180至+307 mEq / kg之间变化,猫的尿液pH在5.60至7.74之间变化。发现测量的尿液pH与食物BEs之间存在显着相关性(尿液pH = 6.269 + [0.0036 x BEs] + [0.000003 x BEs 2 ]; R 2 = 0.91; P <0.001)。在实验3中,测试了八种粗磨日粮(食物BE s 在-187 mEq / kg和+381 mEq / kg之间)以验证实验2中提出的方程,并将所得结果与先前发表的结果进行比较制定。所提出的公式的结果与测量值呈现出较高的一致性相关系数(0.942)和高精度(0.979),并且尿液pH值的估计值与猫的值无差异(P> 0.05)。猫的静脉血pH,碳酸氢根和血液中的BE与食物中的BE s 相关(P <0.001)。食用低食物BE s 的饮食会导致这些参数降低。总之,食物中的大量元素组成对猫的酸碱平衡有很大影响,食物中的BE s 计算是配制和平衡猫科动物粗粮的有用工具。保留所有权利,Elsevier。

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