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Lim JJ, Sequeira IR, Yip WCY, Lu LW, Barnett D, Cameron-Smith D, Poppitt SD. Postprandial glycine as a biomarker of satiety: A dose-rising randomised control trial of whey protein in overweight women. Appetite 2021; 169:105871. [PMID: 34915106 DOI: 10.1016/j.appet.2021.105871] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 11/29/2021] [Accepted: 12/12/2021] [Indexed: 01/09/2023]
Abstract
This study aimed to identify biomarkers of appetite response, modelled using a dose-rising whey protein preload intervention. Female participants (n = 24) with body mass index (BMI) between 23 and 40 kg/m2 consumed preload beverages (0 g protein water control, WC; 12.5 g low-dose protein, LP; or 50.0 g high-dose protein, HP) after an overnight fast, in a randomised cross over design. Repeated venous blood samples were collected to measure plasma biomarkers of appetite response, including glucose, glucoregulatory peptides, gut peptides, and amino acids (AAs). Appetite was assessed using Visual Analogue Scales (VAS) and ad libitum energy intake (EI). Dose-rising protein beverage significantly changed the postprandial trajectory of almost all biomarkers (treatment*time, p < 0.05), but did not suppress postprandial appetite (treatment*time, p > 0.05) or EI (ANOVA, p = 0.799). Circulating glycine had the strongest association with appetite response. Higher area under the curve (AUC0-240) glycine was associated with lower EI (p = 0.026, trend). Furthermore, circulating glycine was associated with decreased Hunger in all treatment groups, whereas the associations of glucose, alanine and amylin with appetite were dependent on treatment groups. Multivariate models, incorporating multiple biomarkers, improved the estimation of appetite response (marginal R2, range: 0.13-0.43). In conclusion, whilst glycine, both alone and within a multivariate model, can estimate appetite response to both water and whey protein beverage consumption, a large proportion of variance in appetite response remains unexplained. Most biomarkers, when assessed in isolation, are poor predictors of appetite response, and likely of utility only in combination with VAS and EI.
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Affiliation(s)
- Jia Jiet Lim
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand; Riddet Institute, Palmerston North, New Zealand.
| | - Ivana R Sequeira
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand; High Value Nutrition, National Science Challenge, Auckland, New Zealand
| | - Wilson C Y Yip
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand; High Value Nutrition, National Science Challenge, Auckland, New Zealand
| | - Louise W Lu
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand; High Value Nutrition, National Science Challenge, Auckland, New Zealand
| | - Daniel Barnett
- Department of Statistics, University of Auckland, Auckland, New Zealand
| | - David Cameron-Smith
- Riddet Institute, Palmerston North, New Zealand; Liggins Institute, University of Auckland, Auckland, New Zealand; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Sally D Poppitt
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand; Riddet Institute, Palmerston North, New Zealand; High Value Nutrition, National Science Challenge, Auckland, New Zealand; Department of Medicine, University of Auckland, Auckland, New Zealand
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