Literature DB >> 18469063

Effects of six carbohydrate sources on diet digestibility and postprandial glucose and insulin responses in cats.

L D de-Oliveira1, A C Carciofi, M C C Oliveira, R S Vasconcellos, R S Bazolli, G T Pereira, F Prada.   

Abstract

The effects of diets with different starch sources on the total tract apparent digestibility and glucose and insulin responses in cats were investigated. Six experimental diets consisting of 35% starch were extruded, each containing one of the following ingredients: cassava flour, brewers rice, corn, sorghum, peas, or lentils. The experiment was carried out on 36 cats with 6 replications per diet in a completely randomized block design. The brewers rice diet offered greater DM, OM, and GE digestibility than the sorghum, corn, lentil, and pea diets (P < 0.05). For starch digestibility, the brewers rice diet had greater values (98.6%) than the sorghum (93.9%), lentil (95.2%), and pea (96.3%) diets (P < 0.05); however, starch digestibility was >93% for all the diets, proving that despite the low carbohydrate content of carnivorous diets, cats can efficiently digest this nutrient when it is properly processed into kibble. Mean and maximum glucose concentration and area under the glucose curve were greater for the corn-based diet than the cassava flour, sorghum, lentil, and pea diets (P < 0.05). The corn-based diets led to greater values for the mean glucose incremental concentration (10.2 mg/dL), maximum glucose incremental concentration (24.8 mg/dL), and area under the incremental glucose curve (185.5 mg.dL(-1).h(-1)) than the lentil diet (2.9 mg/dL, 3.1 mg/dL, and -40.4 mg.dL(-1).h(-1), respectively; P < 0.05). When compared with baseline values, only the corn diet stimulated an increase in the glucose response, occurring at 4 and 10 h postmeal (P < 0.05). The corn-based diet resulted in greater values for maximum incremental insulin concentration and area under the incremental insulin curve than the lentil-based diet (P < 0.05). However, plasma insulin concentrations rose in relation to the basal values for cats fed corn, sorghum, pea, and brewers rice diets (P < 0.05). Variations in diet digestibility and postprandial response can be explained by differences in the chemical composition of the starch source, including fiber content and granule structure, and also differences in the chemical compositions of the diets. The data suggest that starch has less of an effect on the cat postprandial glucose and insulin responses than on those of dogs and humans. This can be explained by the metabolic peculiarities of felines, which may slow and prolong starch digestion and absorption, leading to the delayed, less pronounced effects on their blood responses.

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Year:  2008        PMID: 18469063     DOI: 10.2527/jas.2007-0354

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  10 in total

1.  Carbohydrate level and source have minimal effects on feline energy and macronutrient metabolism.

Authors:  Natalie J Asaro; Kimberley D Berendt; Ruurd T Zijlstra; Jason Brewer; Anna K Shoveller
Journal:  J Anim Sci       Date:  2018-12-03       Impact factor: 3.159

2.  Effects of graded inclusion levels of raw garbanzo beans on apparent total tract digestibility, fecal quality, and fecal fermentative end-products and microbiota in extruded feline diets.

Authors:  Lauren M Reilly; Fei He; Sandra L Rodriguez-Zas; Bruce R Southey; Jolene M Hoke; Gary M Davenport; Maria R C de Godoy
Journal:  J Anim Sci       Date:  2021-12-01       Impact factor: 3.159

3.  Intestinal electrogenic sodium-dependent glucose absorption in tilapia and trout reveal species differences in SLC5A-associated kinetic segmental segregation.

Authors:  Marina Subramaniam; Lynn P Weber; Matthew E Loewen
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2019-01-02       Impact factor: 3.619

Review 4.  Cats and Carbohydrates: The Carnivore Fantasy?

Authors:  Adronie Verbrugghe; Myriam Hesta
Journal:  Vet Sci       Date:  2017-11-15

5.  The response of canine faecal microbiota to increased dietary protein is influenced by body condition.

Authors:  Jia Xu; Adronie Verbrugghe; Marta Lourenço; An Cools; Daisy J X Liu; Tom Van de Wiele; Massimo Marzorati; Venessa Eeckhaut; Filip Van Immerseel; Lynn Vanhaecke; Miguel Campos; Myriam Hesta
Journal:  BMC Vet Res       Date:  2017-12-04       Impact factor: 2.741

6.  Metabolic response to three different diets in lean cats and cats predisposed to overweight.

Authors:  Claudia Keller; Annette Liesegang; Diana Frey; Brigitta Wichert
Journal:  BMC Vet Res       Date:  2017-06-19       Impact factor: 2.741

7.  Metabolic variables of obese dogs with insulin resistance supplemented with yeast beta-glucan.

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Journal:  BMC Vet Res       Date:  2022-01-03       Impact factor: 2.741

Review 8.  Normal glucose metabolism in carnivores overlaps with diabetes pathology in non-carnivores.

Authors:  Thomas Schermerhorn
Journal:  Front Endocrinol (Lausanne)       Date:  2013-12-03       Impact factor: 5.555

9.  Digestibility Is Similar between Commercial Diets That Provide Ingredients with Different Perceived Glycemic Responses and the Inaccuracy of Using the Modified Atwater Calculation to Calculate Metabolizable Energy.

Authors:  Natalie J Asaro; Marcial A Guevara; Kimberley Berendt; Ruurd Zijlstra; Anna K Shoveller
Journal:  Vet Sci       Date:  2017-11-08

10.  Environmental impacts of food consumption by dogs and cats.

Authors:  Gregory S Okin
Journal:  PLoS One       Date:  2017-08-02       Impact factor: 3.240

  10 in total

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