Nutritional Composition of Infant Cereal Prototypes Can Precisely Predict Their Glycemic Index
Designing cereal-based products with appropriate metabolic responses is of high interest to the food industry in view of the potential health impact of the product. The objective of this study was to test whether a model that used the nutrient composition of breakfast cereals to predict their glycem...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Nutrients |
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| Online Access: | https://www.mdpi.com/2072-6643/14/18/3702 |
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| author | Cathriona Monnard Andreas Rytz Carmen Mirela Tudorica Gina L. Fiore Tram Anh Line Do Kalpana Bhaskaran Katherine Macé Yasaman Shahkhalili |
| author_facet | Cathriona Monnard Andreas Rytz Carmen Mirela Tudorica Gina L. Fiore Tram Anh Line Do Kalpana Bhaskaran Katherine Macé Yasaman Shahkhalili |
| author_sort | Cathriona Monnard |
| collection | DOAJ |
| description | Designing cereal-based products with appropriate metabolic responses is of high interest to the food industry in view of the potential health impact of the product. The objective of this study was to test whether a model that used the nutrient composition of breakfast cereals to predict their glycemic index (GI) and glycemic load (GL) could also accurately predict the GI and GL for complete (containing protein, reconstituted in water) infant cereal prototypes. Four independent studies measured the postprandial glucose response of 20 complete infant cereal prototypes (51–76 g/100 g glycemic carbohydrates) in healthy adults. The predictions were strongly correlated with the measured values for both the GI (r = 0.93, <i>p</i>-value < 0.01) and GL (r = 0.98, <i>p</i>-value < 0.01). The in vivo incremental area under the curve (iAUC) for glucose showed a strong linear relationship with the predicted GL (r = 0.99, <i>p</i> < 0.01). In summary, the model previously developed to predict the GI and GL of breakfast cereals was both accurate and precise for infant cereals and could be considered a simple tool to support nutritionally responsible product development. |
| first_indexed | 2024-03-09T22:56:27Z |
| format | Article |
| id | doaj.art-b7b02785cf754b2f927e8cf3bfa3d4fa |
| institution | Directory Open Access Journal |
| issn | 2072-6643 |
| language | English |
| last_indexed | 2024-03-09T22:56:27Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nutrients |
| spelling | doaj.art-b7b02785cf754b2f927e8cf3bfa3d4fa2023-11-23T18:10:18ZengMDPI AGNutrients2072-66432022-09-011418370210.3390/nu14183702Nutritional Composition of Infant Cereal Prototypes Can Precisely Predict Their Glycemic IndexCathriona Monnard0Andreas Rytz1Carmen Mirela Tudorica2Gina L. Fiore3Tram Anh Line Do4Kalpana Bhaskaran5Katherine Macé6Yasaman Shahkhalili7Nestlé Institute of Health Sciences, Société des Produits Nestlé S.A., 1015 Lausanne, SwitzerlandNestlé Research Center, 1000 Lausanne, SwitzerlandNestlé Research Center, 1000 Lausanne, SwitzerlandNestlé Research Center, 1000 Lausanne, SwitzerlandNestlé Product Technology Center, Société des Produits Nestlé S.A., Route de Chavornay 3, 1350 Orbe, SwitzerlandCentre for Applied Nutrition Services, Glycemic Index Research Unit, School of Applied Science, Temasek Polytechnic, Singapore 529757, SingaporeNestlé Research Center, 1000 Lausanne, SwitzerlandNestlé Institute of Health Sciences, Société des Produits Nestlé S.A., 1015 Lausanne, SwitzerlandDesigning cereal-based products with appropriate metabolic responses is of high interest to the food industry in view of the potential health impact of the product. The objective of this study was to test whether a model that used the nutrient composition of breakfast cereals to predict their glycemic index (GI) and glycemic load (GL) could also accurately predict the GI and GL for complete (containing protein, reconstituted in water) infant cereal prototypes. Four independent studies measured the postprandial glucose response of 20 complete infant cereal prototypes (51–76 g/100 g glycemic carbohydrates) in healthy adults. The predictions were strongly correlated with the measured values for both the GI (r = 0.93, <i>p</i>-value < 0.01) and GL (r = 0.98, <i>p</i>-value < 0.01). The in vivo incremental area under the curve (iAUC) for glucose showed a strong linear relationship with the predicted GL (r = 0.99, <i>p</i> < 0.01). In summary, the model previously developed to predict the GI and GL of breakfast cereals was both accurate and precise for infant cereals and could be considered a simple tool to support nutritionally responsible product development.https://www.mdpi.com/2072-6643/14/18/3702glycemic indexglycemic loadinfant cerealsmacronutrient compositionmodel |
| spellingShingle | Cathriona Monnard Andreas Rytz Carmen Mirela Tudorica Gina L. Fiore Tram Anh Line Do Kalpana Bhaskaran Katherine Macé Yasaman Shahkhalili Nutritional Composition of Infant Cereal Prototypes Can Precisely Predict Their Glycemic Index Nutrients glycemic index glycemic load infant cereals macronutrient composition model |
| title | Nutritional Composition of Infant Cereal Prototypes Can Precisely Predict Their Glycemic Index |
| title_full | Nutritional Composition of Infant Cereal Prototypes Can Precisely Predict Their Glycemic Index |
| title_fullStr | Nutritional Composition of Infant Cereal Prototypes Can Precisely Predict Their Glycemic Index |
| title_full_unstemmed | Nutritional Composition of Infant Cereal Prototypes Can Precisely Predict Their Glycemic Index |
| title_short | Nutritional Composition of Infant Cereal Prototypes Can Precisely Predict Their Glycemic Index |
| title_sort | nutritional composition of infant cereal prototypes can precisely predict their glycemic index |
| topic | glycemic index glycemic load infant cereals macronutrient composition model |
| url | https://www.mdpi.com/2072-6643/14/18/3702 |
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