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A Magnetic Resonance Spectroscopy Technique to Determine the Stomach Emptying Rate of Mixed Diets in Growing Rats
Author(s) -
Carlos A. Montoya,
Jason P. Hindmarsh,
Paul J. Moughan,
Shane M. Rutherfurd
Publication year - 2013
Publication title -
journal of nutrition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.463
H-Index - 265
eISSN - 1541-6100
pISSN - 0022-3166
DOI - 10.3945/jn.112.171223
Subject(s) - gastric emptying , stomach , digestion (alchemy) , chemistry , magnetic resonance imaging , zoology , volume (thermodynamics) , chromatography , nuclear medicine , medicine , biochemistry , biology , radiology , physics , quantum mechanics
A rapid technique allowing the accurate determination of stomach emptying rate (SER) would be useful for understanding the process of digestion. The development of a rapid magnetic resonance spectroscopy (MRS) technique based on the marker AlCl(3)-6H(2)O (Al-MRS) to determine the real-time SER of foods in a rat model is described. Experiments were conducted to establish several variables for the Al-MRS technique and validate the technique against the traditional serial slaughter method. Overnight feed-deprived rats (n = 8/treatment) were gavaged with a single dose of a semisynthetic meat or soy bean protein isolate-based diet containing the marker AlCl(3)-6H(2)O in acidified water (pH 2). Rats were either placed individually in the magnetic resonance spectrometer to estimate the SER from the real-time decrease in the aluminum (Al) signal or killed and their stomach chyme collected at prescribed times postprandially to determine the SER. The concentration of diet in the gavage mixture did not influence the SER. In contrast, rat body weight (BW), gavage volume, and dietary marker concentration affected SER (P < 0.05). The optimal BW range, gavage volume, and marker concentration that gave repeatable SER values were 280-320 g, 2-4 mL, and 55 g/L, respectively. Correlations were found for SER between Al-MRS and serial slaughter methods (r = 0.81-0.95; P < 0.001). Al-MRS is a robust, rapid, and straightforward technique for predicting the SER of food.

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