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Lim JJ, Liu Y, Lu LW, Sequeira IR, Poppitt SD. No Evidence That Circulating GLP-1 or PYY Are Associated with Increased Satiety during Low Energy Diet-Induced Weight Loss: Modelling Biomarkers of Appetite. Nutrients 2023; 15:nu15102399. [PMID: 37242282 DOI: 10.3390/nu15102399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 04/04/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
Bariatric surgery and pharmacology treatments increase circulating glucagon-like peptide-1 (GLP-1) and peptide YY (PYY), in turn promoting satiety and body weight (BW) loss. However, the utility of GLP-1 and PYY in predicting appetite response during dietary interventions remains unsubstantiated. This study investigated whether the decrease in hunger observed following low energy diet (LED)-induced weight loss was associated with increased circulating 'satiety peptides', and/or associated changes in glucose, glucoregulatory peptides or amino acids (AAs). In total, 121 women with obesity underwent an 8-week LED intervention, of which 32 completed an appetite assessment via a preload challenge at both Week 0 and Week 8, and are reported here. Visual analogue scales (VAS) were administered to assess appetite-related responses, and blood samples were collected over 210 min post-preload. The area under the curve (AUC0-210), incremental AUC (iAUC0-210), and change from Week 0 to Week 8 (∆) were calculated. Multiple linear regression was used to test the association between VAS-appetite responses and blood biomarkers. Mean (±SEM) BW loss was 8.4 ± 0.5 kg (-8%). Unexpectedly, the decrease in ∆AUC0-210 hunger was best associated with decreased ∆AUC0-210 GLP-1, GIP, and valine (p < 0.05, all), and increased ∆AUC0-210 glycine and proline (p < 0.05, both). The majority of associations remained significant after adjusting for BW and fat-free mass loss. There was no evidence that changes in circulating GLP-1 or PYY were predictive of changes in appetite-related responses. The modelling suggested that other putative blood biomarkers of appetite, such as AAs, should be further investigated in future larger longitudinal dietary studies.
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Affiliation(s)
- Jia Jiet Lim
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand
- Riddet Institute, Palmerston North 4442, New Zealand
| | - Yutong Liu
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand
- Department of Medicine, University of Auckland, Auckland 1010, New Zealand
| | - Louise W Lu
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand
- High-Value Nutrition National Science Challenge, Auckland 1010, New Zealand
| | - Ivana R Sequeira
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand
- High-Value Nutrition National Science Challenge, Auckland 1010, New Zealand
| | - Sally D Poppitt
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand
- Riddet Institute, Palmerston North 4442, New Zealand
- Department of Medicine, University of Auckland, Auckland 1010, New Zealand
- High-Value Nutrition National Science Challenge, Auckland 1010, New Zealand
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Lim JJ, Liu Y, Lu LW, Barnett D, Sequeira IR, Poppitt SD. Does a Higher Protein Diet Promote Satiety and Weight Loss Independent of Carbohydrate Content? An 8-Week Low-Energy Diet (LED) Intervention. Nutrients 2022; 14:nu14030538. [PMID: 35276894 PMCID: PMC8838013 DOI: 10.3390/nu14030538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 01/22/2022] [Accepted: 01/25/2022] [Indexed: 11/18/2022] Open
Abstract
Both higher protein (HP) and lower carbohydrate (LC) diets may promote satiety and enhance body weight (BW) loss. This study investigated whether HP can promote these outcomes independent of carbohydrate (CHO) content. 121 women with obesity (BW: 95.1 ± 13.0 kg, BMI: 35.4 ± 3.9 kg/m2) were randomised to either HP (1.2 g/kg BW) or normal protein (NP, 0.8 g/kg BW) diets, in combination with either LC (28 en%) or normal CHO (NC, 40 en%) diets. A low-energy diet partial diet replacement (LEDpdr) regime was used for 8 weeks, where participants consumed fixed-energy meal replacements plus one ad libitum meal daily. Four-day dietary records showed that daily energy intake (EI) was similar between groups (p = 0.744), but the difference in protein and CHO between groups was lower than expected. Following multiple imputation (completion rate 77%), decrease in mean BW, fat mass (FM) and fat-free mass (FFM) at Week 8 in all was 7.5 ± 0.7 kg (p < 0.001), 5.7 ± 0.5 kg (p < 0.001), and 1.4 ± 0.7 kg (p = 0.054) respectively, but with no significant difference between diet groups. LC (CHO×Week, p < 0.05), but not HP, significantly promoted postprandial satiety during a preload challenge. Improvements in blood biomarkers were unrelated to LEDpdr macronutrient composition. In conclusion, HP did not promote satiety and BW loss compared to NP LEDpdr, irrespective of CHO content.
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Affiliation(s)
- Jia Jiet Lim
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand; (Y.L.); (L.W.L.); (I.R.S.); (S.D.P.)
- Riddet Institute, Palmerston North 4474, New Zealand
- Correspondence:
| | - Yutong Liu
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand; (Y.L.); (L.W.L.); (I.R.S.); (S.D.P.)
- Department of Medicine, University of Auckland, Auckland 1010, New Zealand
| | - Louise Weiwei Lu
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand; (Y.L.); (L.W.L.); (I.R.S.); (S.D.P.)
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand
| | - Daniel Barnett
- Department of Statistics, University of Auckland, Auckland 1010, New Zealand;
| | - Ivana R. Sequeira
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand; (Y.L.); (L.W.L.); (I.R.S.); (S.D.P.)
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand
| | - Sally D. Poppitt
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand; (Y.L.); (L.W.L.); (I.R.S.); (S.D.P.)
- Riddet Institute, Palmerston North 4474, New Zealand
- Department of Medicine, University of Auckland, Auckland 1010, New Zealand
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand
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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: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [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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Yao D, Xu L, Wu M, Wang X, Wang K, Li Z, Zhang D. Microbial Community Succession and Metabolite Changes During Fermentation of BS Sufu, the Fermented Black Soybean Curd by Rhizopus microsporus, Rhizopus oryzae, and Actinomucor elegans. Front Microbiol 2021; 12:665826. [PMID: 34248874 PMCID: PMC8267895 DOI: 10.3389/fmicb.2021.665826] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/17/2021] [Indexed: 11/25/2022] Open
Abstract
BS Sufu is a fermented food that is made by mixed black soybeans and soybeans. Microbial communities and metabolites play an important role for the final product. We characterized microbial diversity of BS Sufu during fermentation by high-throughput DNA sequencing. Meanwhile, volatile compounds were investigated by solid-phase microextraction (SPME) coupled with gas chromatography–mass spectrometry (GC-MS). The results showed that bacterial diversity was higher than that of fungi in BS Sufu. We found the existence of bacterial and fungal core communities, including Enterococcus, Enterobacter, Rhizopus, and Monascus. Network analysis indicated that bacterial and fungal communities maintain positive and negative interactions, which are important to shape the resident microbial communities in Sufu. In addition, 17 free amino acids (FAAs) were detected at the post-fermentation stage, and umami amino acid mainly contributed to taste of BS Sufu. Furtherly, a total of 79 volatile constituents in BS Sufu, including nine alcohols, 31 esters, and four aldehydes, form synergistically the unique odor of Sufu. Additionally, the correlations between microbiota and metabolites were analyzed. Our results suggested that these microbial taxa and metabolites contribute to the taste and flavor of BS Sufu. This study provided information for analysis of BS Sufu at different fermentation periods in terms of the microbial diversity and metabolites, and this information was important to understand the properties of mixed soybeans Sufu.
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Affiliation(s)
- Di Yao
- College of Food Science and Engineering, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Lei Xu
- College of Food Science and Engineering, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Mengna Wu
- College of Food Science and Engineering, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Xiaoyu Wang
- College of Food Science and Engineering, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Kun Wang
- College of Food Science and Engineering, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Zhijiang Li
- College of Food Science and Engineering, Heilongjiang Bayi Agricultural University, Daqing, China.,Heilongjiang Engineering Research Center for Coarse Cereals Processing and Quality Safety, Daqing, China.,Key Laboratory of Agro-Products Processing and Quality Safety of Heilongjiang Province, Daqing, China
| | - Dongjie Zhang
- College of Food Science and Engineering, Heilongjiang Bayi Agricultural University, Daqing, China.,Heilongjiang Engineering Research Center for Coarse Cereals Processing and Quality Safety, Daqing, China.,Key Laboratory of Agro-Products Processing and Quality Safety of Heilongjiang Province, Daqing, China.,National Coarse Cereals Engineering Research Center, Heilongjiang Bayi Agricultural University, Daqing, China
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The Impact of the Use of Glycomacropeptide on Satiety and Dietary Intake in Phenylketonuria. Nutrients 2020; 12:nu12092704. [PMID: 32899700 PMCID: PMC7576483 DOI: 10.3390/nu12092704] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 08/28/2020] [Accepted: 09/01/2020] [Indexed: 12/15/2022] Open
Abstract
Protein is the most satiating macronutrient, increasing secretion of gastrointestinal hormones and diet induced thermogenesis. In phenylketonuria (PKU), natural protein is restricted with approximately 80% of intake supplied by a synthetic protein source, which may alter satiety response. Casein glycomacropeptide (CGMP-AA), a carbohydrate containing peptide and alternative protein substitute to amino acids (AA), may enhance satiety mediated by its bioactive properties. Aim: In a three-year longitudinal; prospective study, the effect of AA and two different amounts of CGMP-AA (CGMP-AA only (CGMP100) and a combination of CGMP-AA and AA (CGMP50) on satiety, weight and body mass index (BMI) were compared. Methods: 48 children with PKU completed the study. Median ages of children were: CGMP100; (n = 13), 9.2 years; CGMP50; (n = 16), 7.3 years; and AA (n = 19), 11.1 years. Semi-quantitative dietary assessments and anthropometry (weight, height and BMI) were measured every three months. Results: The macronutrient contribution to total energy intake from protein, carbohydrate and fat was similar across the groups. Adjusting for age and gender, no differences in energy intake, weight, BMI, incidence of overweight or obesity was apparent between the groups. Conclusion: In this three-year longitudinal study, there was no indication to support a relationship between CGMP and satiety, as evidenced by decreased energy intake, thereby preventing overweight or obesity. Satiety is a complex multi-system process that is not fully understood.
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Abstract
AbstractKnowing the biological signals associated with appetite control is crucial for understanding the regulation of food intake. Biomarkers of appetite have been defined as physiological measures that relate to subjective appetite ratings, measured food intake, or both. Several metabolites including amino acids, lipids and glucose were proposed as key molecules associated with appetite control over 60 years ago, and along with bile acids are all among possible appetite biomarker candidates. Additional metabolites that have been associated with appetite include endocannabinoids, lactate, cortisol and β-hydroxybutyrate. However, although appetite is a complex integrative process, studies often investigated a limited number of markers in isolation. Metabolomics involves the study of small molecules or metabolites present in biological samples such as urine or blood, and may present a powerful approach to further the understanding of appetite control. Using multiple analytical techniques allows the characterisation of molecules, such as carbohydrates, lipids, amino acids, bile acids and fatty acids. Metabolomics has proven successful in identifying markers of consumption of certain foods and biomarkers implicated in several diseases. However, it has been underexploited in appetite control or obesity. The aim of the present narrative review is to: (1) provide an overview of existing metabolites that have been identified in human biofluids and associated with appetite control; and (2) discuss the potential of metabolomics to deepen understanding of appetite control in humans.
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van den Broek M, de Heide LJM, Emous M, Wijma RB, Veeger NJGM, Wolthuis A, Laskewitz AJ, Heiner-Fokkema MR, Muller Kobold AC, Wolffenbuttel BHR, van Beek AP. Satiety and gastrointestinal hormones during a Mixed Meal Tolerance Test after gastric bypass surgery: association with plasma amino acid concentrations. Surg Obes Relat Dis 2018; 14:1106-1117. [PMID: 29937240 DOI: 10.1016/j.soard.2018.05.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 04/23/2018] [Accepted: 05/14/2018] [Indexed: 01/06/2023]
Abstract
BACKGROUND Circulating amino acids have been associated with both appetite and the secretion of anorexigenic hormones in healthy and obese populations. This effect has not been investigated in subjects having undergone Roux-en-Y gastric bypass surgery (RYGB). OBJECTIVE To investigate the association between postprandial plasma concentrations of amino acids and the anorexigenic hormones glucagon-like peptide-1 (GLP-1) and peptide tyrosine tyrosine (PYY), the orexigenic hormone ghrelin, and satiety and hunger in post-RYGB subjects. SETTING A Dutch surgical department. METHODS Participants after primary RYGB were studied during a Mixed Meal Tolerance Test (MMTT). Satiety and hunger were assessed every 30 minutes on visual analogue scales. Blood samples were collected at baseline, every 10 minutes during the first half hour and every 30 minutes until 210 minutes after the start. The samples were assessed for 24 amino acids and 3 gastrointestinal hormones. Incremental areas under the curve (iAUCs) were calculated. Exploratory analyses were performed in which subjects were divided into high and low responders depending on the median iAUC. RESULTS 42 subjects, aged 48 ± 11 (mean ± SD) years, 31 to 76 months post-RYGB and with total weight loss of 30 ± 9% completed the MMTT. Subjects with high satiety scores had more than a 25% higher net iAUC of PYY and GLP-1 and at least a 10% higher net iAUC of 10 amino acids compared to subjects with low scores (P < 0.05). The net iAUC of five of these amino acids (i.e. arginine, asparagine, histidine, serine and threonine) was more than 10% higher in subjects with high responses on GLP-1 and/or PYY (P < 0.05). CONCLUSIONS Certain postprandial amino acids were associated with satiety and anorexigenic hormones and could therefore play a role in appetite regulation after RYGB; either by a direct effect on satiety, indirectly through gastrointestinal hormones, or both.
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Affiliation(s)
- Merel van den Broek
- Department of Internal Medicine, Medical Center Leeuwarden, Leeuwarden, The Netherlands.
| | - Loek J M de Heide
- Department of Internal Medicine, Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - Marloes Emous
- Department of Surgery, Medical Center Leeuwarden, Leeuwarden, The Netherlands; Centre for Obesity Netherlands (CON), Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - Ragnhild B Wijma
- Department of Surgery, Medical Center Leeuwarden, Leeuwarden, The Netherlands; Centre for Obesity Netherlands (CON), Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - Nic J G M Veeger
- Department of Epidemiology, Medical Center Leeuwarden, Leeuwarden, The Netherlands; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Albert Wolthuis
- Department of Clinical Chemistry, CERTE, Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - Anke J Laskewitz
- Department of Clinical Chemistry, CERTE, Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - M Rebecca Heiner-Fokkema
- Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Anneke C Muller Kobold
- Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Bruce H R Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - André P van Beek
- Centre for Obesity Netherlands (CON), Medical Center Leeuwarden, Leeuwarden, The Netherlands; Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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