Relação entre o excesso de bases do alimento e o PH urinário de gatos
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Data
2009-02-16
Autores
Jeremias, Juliana Toloi [UNESP]
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Editor
Universidade Estadual Paulista (Unesp)
Resumo
A composição mineral da dieta influencia as características da urina de gatos, estando envolvida no desenvolvimento e prevenção de urolitíases. O excesso de bases (EB) do alimento possui alta correlação com o pH urinário de gatos. Este pode ser calculado a partir da determinação da composição de macroelementos ou de aminoácidos sulfurados contidos na dieta. Em um primeiro estudo comparou-se fórmulas publicadas para estimar o EB do alimento e o pH urinário de gatos, avaliando a influência do enxofre e dos aminoácidos sulfurados sobre os cálculos, e verificou a relação entre o EB do alimento e parâmetros hemogasométricos. Em outro estudo foram avaliados os efeitos da adição de sais aniônicos acidificantes e de sais catiônicos alcalinizantes em dietas para felinos, com o objetivo de se validar as equações de estimação do pH urinário desenvolvidas no estudo anterior, demonstrar a eficácia desses sais, bem como verificar possíveis perturbações no equilíbrio ácido-básico dos animais decorrentes destas modificações na composição da dieta. Os gatos permaneceram em gaiolas metabólicas durante sete dias de adaptação à dieta, seguidos por três dias de coleta total de urina. Durante a coleta, a urina produzida em cada período de 24 horas teve aferida seu volume, densidade e pH. O equilíbrio ácido-básico foi estudado pela hemogasometria de sangue venoso. Amostras de sangue foram coletadas às 8:00hs (antes do fornecimento do alimento) e 6 horas depois do fornecimento, após 10 dias de adaptação ao alimento. No primeiro estudo o pH urinário variou entre 5,83±0,09 e 7,74±0,13. O EBS entre –185 e 309 mEq/kg MS e EBaa entre -49 e 377 mEq/kg MS. A diferença média de -115 mEq/kg entre EBS e EBaa foi observada. O pH urinário apresentou alta correlação com o EBS (r=0,95; p<0.0001) e EBaa (r=0,86; p<0.0001)...
Food mineral composition influences the characteristics of cat’s urine and is involved in the development and prevention of urolithiasis. Food base excess (BE) has a high correlation with cat urinary pH. BE can be calculated utilizing only macroelements or using sulfur amino acids (methionine and cistine) instead of total sulfur. In the first chapter compared published formulas to estimate food BE and urinary pH of cats, evaluated the influence of total sulfur and sulfur amino acids on BE calculations, and verified the relationship between food BE with cat blood gases analysis. In other chapter, effects of acidifying and alkalizing additives on cats food were evaluated, so that: 1. the urinary pH prediction equations developed on chapter 2 could be validated, 2. mineral salt efficacy could be demonstrated, 3. potential acid base alterations caused by the additives used on the cat’s food could be verified. Cats were housed in metabolic cages and fed during a seven days adaptation phase followed by three days of total urine collection. Urine was collected in plastic bottles conserved in ice under the cage funnel. Each 24-h of produced urine were pooled by cat and analyzed for density, volume and pH. Cat’s acidbasic status was studied by blood gas analysis of venous blood. Blood samples were collected at 8:00h (pre feeding) and 6 hours after meal, after 10-days of food adaptation. In the first chapter pH of cats varied in the interval of 5.83±0.13 (mean±SD) and 7.74±0.12. Food BEs varied between –185 and 309 mmol/kg DM, and food BEaa between -49 and 377 mmol/kg DM. A mean difference of -115 mmol/kg between EB1 and EB2 was observed Urine pH has high correlations with food BEs (r=0.95; p<0.0001) and BEaa (r=0.86; p<0.0001). In the second chapter Alkalizing additives: urinary pH of cats varied in the interval of 5,60±0,07 a 6,15±0,06 (p<0,0005)... (Complete abstract click electronic access below)
Food mineral composition influences the characteristics of cat’s urine and is involved in the development and prevention of urolithiasis. Food base excess (BE) has a high correlation with cat urinary pH. BE can be calculated utilizing only macroelements or using sulfur amino acids (methionine and cistine) instead of total sulfur. In the first chapter compared published formulas to estimate food BE and urinary pH of cats, evaluated the influence of total sulfur and sulfur amino acids on BE calculations, and verified the relationship between food BE with cat blood gases analysis. In other chapter, effects of acidifying and alkalizing additives on cats food were evaluated, so that: 1. the urinary pH prediction equations developed on chapter 2 could be validated, 2. mineral salt efficacy could be demonstrated, 3. potential acid base alterations caused by the additives used on the cat’s food could be verified. Cats were housed in metabolic cages and fed during a seven days adaptation phase followed by three days of total urine collection. Urine was collected in plastic bottles conserved in ice under the cage funnel. Each 24-h of produced urine were pooled by cat and analyzed for density, volume and pH. Cat’s acidbasic status was studied by blood gas analysis of venous blood. Blood samples were collected at 8:00h (pre feeding) and 6 hours after meal, after 10-days of food adaptation. In the first chapter pH of cats varied in the interval of 5.83±0.13 (mean±SD) and 7.74±0.12. Food BEs varied between –185 and 309 mmol/kg DM, and food BEaa between -49 and 377 mmol/kg DM. A mean difference of -115 mmol/kg between EB1 and EB2 was observed Urine pH has high correlations with food BEs (r=0.95; p<0.0001) and BEaa (r=0.86; p<0.0001). In the second chapter Alkalizing additives: urinary pH of cats varied in the interval of 5,60±0,07 a 6,15±0,06 (p<0,0005)... (Complete abstract click electronic access below)
Descrição
Palavras-chave
Electrolytes, Blood gas analysis, Felines, Urolithiasis, Eletrólitos, Gatos, Aparelho urinario - Calculos, Hemogasometria
Como citar
JEREMIAS, Juliana Toloi. Relação entre o excesso de bases do alimento e o PH urinário de gatos. 2009. x, 69 f. Dissertação (mestrado) - Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, 2009.