Literature DB >> 26856623

Impact of protein-rich meals on glycaemic response of rice.

Rina Quek1, Xinyan Bi1, Christiani Jeyakumar Henry1.   

Abstract

Asians typically consume carbohydrate-rich and high-glycaemic-index diets that have been associated with an increased risk of developing type 2 diabetes. Rice is rarely eaten alone such that it is of interest to investigate the effects of co-ingesting different protein-rich meals with rice on insulin and glycaemic response. This study had a randomised, controlled, non-blind, cross-over design in which fifteen healthy Chinese male participants were required to come on non-consecutive days. Five rice-based test meals were served: rice alone (control), rice with fish (RWF), rice with egg white (RWE), rice with soya beancurd (taukwa) (RWT) and rice with chicken (RWC). The control meal consisted of 50 g of available carbohydrate, whereas all other test meals contained additional 25 g of protein. RWT was the only meal that showed significantly lower glucose response when compared with the control (P<0·05). RWF and RWE had significantly higher insulin response, but no significant increase was observed in RWT and RWC when compared with the control (P<0·05). RWT and RWF showed significantly higher glucagon secretion as compared with the control (P<0·05). The four test meals studied showed varying effects, with RWT showing the greatest reduction in glycaemic response. Therefore, the ingestion of soya beancurd with rice may have a direct impact on reducing the risk in Asians transiting from being pre-diabetics to diabetics.

Entities:  

Keywords:  BCAA branched chain amino acids; Blood glucose; EAA essential amino acids; GR glycaemic response; IR insulin response; Metabolic effects; Protein-rich meals; RWE rice with egg white; RWF rice with fish; RWT rice with soya beancurd (taukwa); Rice; T2D type 2 diabetes; iAUC incremental AUC

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Year:  2016        PMID: 26856623     DOI: 10.1017/S0007114515005498

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  7 in total

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2.  Validation Study of the Estimated Glycemic Load Model Using Commercially Available Fast Foods.

Authors:  Miran Lee; Haejin Kang; Sang-Jin Chung; Kisun Nam; Yoo Kyoung Park
Journal:  Front Nutr       Date:  2022-05-10

3.  The Glycaemic and Insulinaemic Response of Pasta in Chinese and Indians Compared to Asian Carbohydrate Staples: Taking Spaghetti Back to Asia.

Authors:  Stefan Gerardus Camps; Joseph Lim; Melvin Xu Nian Koh; Christiani Jeyakumar Henry
Journal:  Nutrients       Date:  2021-01-29       Impact factor: 5.717

4.  Use of a Continuous Glucose Monitor to Determine the Glycaemic Index of Rice-Based Mixed Meals, Their Effect on a 24 h Glucose Profile and Its Influence on Overweight and Obese Young Adults' Meal Preferences.

Authors:  Khadidja Chekima; Benjamin Tziak Ze Wong; Mohd Ismail Noor; Yasmin Beng Houi Ooi; See Wan Yan; Brahim Chekima
Journal:  Foods       Date:  2022-03-28

5.  Seaweeds as Ingredients to Lower Glycemic Potency of Cereal Foods Synergistically-A Perspective.

Authors:  Louise Weiwei Lu; Jie-Hua Chen
Journal:  Foods       Date:  2022-02-28

6.  Utilising a Real-Time Continuous Glucose Monitor as Part of a Low Glycaemic Index and Load Diet and Determining Its Effect on Improving Dietary Intake, Body Composition and Metabolic Parameters of Overweight and Obese Young Adults: A Randomised Controlled Trial.

Authors:  Khadidja Chekima; Mohd Ismail Noor; Yasmin Beng Houi Ooi; See Wan Yan; Mohammad Jaweed; Brahim Chekima
Journal:  Foods       Date:  2022-06-15

7.  Co-Ingestion of Rice Bran Soymilk or Plain Soymilk with White Bread: Effects on the Glycemic and Insulinemic Response.

Authors:  Stefan Gerardus Camps; Joseph Lim; Atsushi Ishikado; Yumi Inaba; Makoto Suwa; Motonobu Matsumoto; Christiani Jeyakumar Henry
Journal:  Nutrients       Date:  2018-04-04       Impact factor: 5.717

  7 in total

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