PURPOSE: To identify the key parameters involved in cereal starch digestion and associated glycaemic response by the utilisation of a dynamic gastro-duodenal digestion model. METHODS: Potential plasma glucose loading curves for each meal were calculated and fitted to an exponential function. The area under the curve (AUC) from 0 to 120 min and total digestible starch was used to calculate an in vitro glycaemic index (GI) value normalised against white bread. Microscopy was additionally used to examine cereal samples collected in vitro at different stages of gastric and duodenal digestion. RESULTS: Where in vivo GI data were available (4 out of 6 cereal meals) no significant difference was observed between these values and the corresponding calculated in vitro GI value. CONCLUSION: It is possible to simulate an in vivo glycaemic response for cereals when the gastric emptying rate (duodenal loading) and kinetics of digestible starch hydrolysis in the duodenum are known.
PURPOSE: To identify the key parameters involved in cereal starch digestion and associated glycaemic response by the utilisation of a dynamic gastro-duodenal digestion model. METHODS: Potential plasma glucose loading curves for each meal were calculated and fitted to an exponential function. The area under the curve (AUC) from 0 to 120 min and total digestible starch was used to calculate an in vitro glycaemic index (GI) value normalised against white bread. Microscopy was additionally used to examine cereal samples collected in vitro at different stages of gastric and duodenal digestion. RESULTS: Where in vivo GI data were available (4 out of 6 cereal meals) no significant difference was observed between these values and the corresponding calculated in vitro GI value. CONCLUSION: It is possible to simulate an in vivo glycaemic response for cereals when the gastric emptying rate (duodenal loading) and kinetics of digestible starch hydrolysis in the duodenum are known.
Authors: L Marciani; P A Gowland; R C Spiller; P Manoj; R J Moore; P Young; S Al-Sahab; D Bush; J Wright; A J Fillery-Travis Journal: J Nutr Date: 2000-01 Impact factor: 4.798
Authors: L Marciani; P A Gowland; R C Spiller; P Manoj; R J Moore; P Young; A J Fillery-Travis Journal: Am J Physiol Gastrointest Liver Physiol Date: 2001-06 Impact factor: 4.052
Authors: A Woda; A Mishellany-Dutour; L Batier; O François; J-P Meunier; B Reynaud; M Alric; M-A Peyron Journal: J Biomech Date: 2010-04-13 Impact factor: 2.712
Authors: Maria Vardakou; Annalisa Mercuri; Susan A Barker; Duncan Q M Craig; Richard M Faulks; Martin S J Wickham Journal: AAPS PharmSciTech Date: 2011-05-10 Impact factor: 3.246
Authors: Chris J Seal; Mark E Daly; Lois C Thomas; Wendy Bal; Anne M Birkett; Roger Jeffcoat; John C Mathers Journal: Br J Nutr Date: 2003-11 Impact factor: 3.718
Authors: Daniel P Johansson; José L Vázquez Gutiérrez; Rikard Landberg; Marie Alminger; Maud Langton Journal: Eur J Nutr Date: 2017-04-17 Impact factor: 5.614