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Prater MC, Guadagni AJ, Cooper JA. Postprandial appetite responses to a pecan enriched meal: A randomized crossover trial. Appetite 2024; 201:107598. [PMID: 38971424 DOI: 10.1016/j.appet.2024.107598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/26/2024] [Accepted: 07/03/2024] [Indexed: 07/08/2024]
Abstract
Longer-term pecan consumption has shown appetite-regulating effects as a part of a free-living diet, yet the physiologic appetite responses to a single pecan-containing meal are unclear. The purpose of this study was to compare the acute physiologic, subjective, and direct appetite responses of a pecan-containing meal to an energy- and macronutrient-matched control meal. This was an acute meal challenge study utilizing a double-blinded randomized crossover design with two periods. Participants were young, healthy adults (BMI: 22.9 ± 3.3 kg/m2, age: 22 ± 3 y) who consumed a meal containing either 68 g of pecans (PEC; 795 kcal) or an energy- and macronutrient-matched control meal (CON; 794 kcal) on separate testing days. At both testing visits, five postprandial blood draws, and visual analog scale (VAS) questionnaires (in-lab) were used to determine differences in peptide YY (PYY), ghrelin, and subjective appetite over a 4-h postprandial period. Participants also completed VAS questionnaires (at-home) and food records for the rest of the day after leaving the testing visits. Thirty-one out of thirty-two randomized participants completed the study. There was a greater overall postprandial PYY response (p < 0.001), and a greater suppression of postprandial ghrelin after time point 120 min (p < 0.001), with the PEC vs. CON meal. Further, there was a greater increase in subjective fullness (p = 0.001), and suppression of at-home overall appetite (p = 0.02), from time 240-780 min post-meal with PEC vs. CON meals. There were no differences in self-reported EI between meals or any other VAS measure. In conclusion, a pecan-containing breakfast shake produced more favorable physiologic and subjective improvements in appetite compared to an energy- and macronutrient-matched control meal. This trial is registered at clinicaltrials.gov (NCT05230212).
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Affiliation(s)
- M Catherine Prater
- Department of Nutritional Sciences, University of Georgia, Athens, GA, USA
| | - Alyssa J Guadagni
- Department of Nutritional Sciences, University of Georgia, Athens, GA, USA
| | - Jamie A Cooper
- Department of Kinesiology, University of Georgia, Athens, GA, USA.
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2
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Cheon E, Mattes RD. Interindividual variability in appetitive sensations and relationships between appetitive sensations and energy intake. Int J Obes (Lond) 2024; 48:477-485. [PMID: 38135701 PMCID: PMC10978491 DOI: 10.1038/s41366-023-01436-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 11/22/2023] [Accepted: 11/30/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND Appetitive sensations (AS) are signals that guide eating behaviors. Marked short-term inter-individual variability in AS has been reported but the long-term stability of individual ratings and their dietary implications are not well characterized. OBJECTIVES This study explored the stability of inter-individual ratings of hunger, fullness and thirst for 17 weeks; determined the relationships between these sensations, eating patterns and energy intake (EI); as well as the associations between ratings and selected individual characteristics (age, gender, BMI). METHODS A 17-week observational study collected hourly appetitive ratings and dietary intake data from 97 (90 completers, 7 partial completers) healthy adults at weeks 1, 9, and 17. RESULTS There were marked and stable inter-individual differences over the 17 weeks for hunger (week 1 vs. week 9, r = 0.72 (p < 0.001); week 1 vs. week 17, r = 0.67 (p < 0.001); week 9 vs. week 17, r = 0.77 (p < 0.001)); fullness (week 1 vs. week 9 r = 0.74 (p < 0.001); week 1 vs. week 17, r = 0.71 (p < 0.001); week 9 vs. week 17, r = 0.81 (p < 0.001)); and thirst (week 1 vs. week 9 r = 0.82 (p < 0.001); week 1 vs. week 17, r = 0.81 (p < 0.001); week 9 vs. week 17, r = 0.88 (p < 0.001)). Cross-correlation functions revealed EI and eating pattern exerted stronger effects on AS than the reverse. However, the absolute effect sizes were small. Path analyses also indicated that there were weak relationships between AS and EI. No robust effects of the studied individual characteristics were observed. CONCLUSION This study found that acute and chronic sensations of hunger, fullness and thirst are relatively stable within individuals but vary markedly between individuals. In addition, the present data indicate AS are poorly associated with dietary patterns or with EI under conditions of relatively stable energy balance.
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Affiliation(s)
- Eunjin Cheon
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA
| | - Richard D Mattes
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA.
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Song W, Sheng Q, Bai Y, Li L, Ning X, Liu Y, Song C, Wang T, Dong X, Luo Y, Hu J, Zhu L, Cui X, Chen B, Li L, Cai C, Cui H, Yue T. Obesity, but not high-fat diet, is associated with bone loss that is reversed via CD4 +CD25 +Foxp3 + Tregs-mediated gut microbiome of non-obese mice. NPJ Sci Food 2023; 7:14. [PMID: 37055440 PMCID: PMC10102288 DOI: 10.1038/s41538-023-00190-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 03/15/2023] [Indexed: 04/15/2023] Open
Abstract
Osteoporosis is characterized by decreased bone mass, microarchitectural deterioration, and increased bone fragility. High-fat diet (HFD)-induced obesity also results in bone loss, which is associated with an imbalanced gut microbiome. However, whether HFD-induced obesity or HFD itself promotes osteoclastogenesis and consequent bone loss remains unclear. In this study, we developed HFD-induced obesity (HIO) and non-obesity (NO) mouse models to evaluate the effect of HFD on bone loss. NO mice were defined as body weight within 5% of higher or lower than that of chow diet fed mice after 10 weeks HFD feeding. NO was protected from HIO-induced bone loss by the RANKL /OPG system, with associated increases in the tibia tenacity, cortical bone mean density, bone volume of cancellous bone, and trabecular number. This led to increased bone strength and improved bone microstructure via the microbiome-short-chain fatty acids (SCFAs) regulation. Additionally, endogenous gut-SCFAs produced by the NO mice activated free fatty acid receptor 2 and inhibited histone deacetylases, resulting in the promotion of Treg cell proliferation in the HFD-fed NO mice; thereby, inhibiting osteoclastogenesis, which can be transplanted by fecal microbiome. Furthermore, T cells from NO mice retain differentiation of osteoclast precursors of RAW 264.7 macrophages ex vivo. Our data reveal that HFD is not a deleterious diet; however, the induction of obesity serves as a key trigger of bone loss that can be blocked by a NO mouse-specific gut microbiome.
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Affiliation(s)
- Wei Song
- College of Food Science and Technology, Northwest University, 710069, Xi'an, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, 710069, Xi'an, China.
- Research Center of Food Safety Risk Assessment and Control, 710069, Xi'an, China.
| | - Qinglin Sheng
- College of Food Science and Technology, Northwest University, 710069, Xi'an, China
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, 710069, Xi'an, China
- Research Center of Food Safety Risk Assessment and Control, 710069, Xi'an, China
| | - Yuying Bai
- School of Life Science and Technology, Tokyo Institute of Technology, 226-8501, Yokohama, Japan
| | - Li Li
- Department of Food Science and Technology, Harbin Institute of Technology, 150000, Harbin, China
- National Local Joint Laboratory of Extreme Environmental Nutritional Molecule Synthesis Transformation and Separation, 150000, Harbin, China
| | - Xin Ning
- Department of Food Science and Technology, Harbin Institute of Technology, 150000, Harbin, China
- National Local Joint Laboratory of Extreme Environmental Nutritional Molecule Synthesis Transformation and Separation, 150000, Harbin, China
| | - Yangeng Liu
- Department of Food Science and Technology, Harbin Institute of Technology, 150000, Harbin, China
- National Local Joint Laboratory of Extreme Environmental Nutritional Molecule Synthesis Transformation and Separation, 150000, Harbin, China
| | - Chen Song
- Department of Food Science and Technology, Harbin Institute of Technology, 150000, Harbin, China
- National Local Joint Laboratory of Extreme Environmental Nutritional Molecule Synthesis Transformation and Separation, 150000, Harbin, China
| | - Tianyi Wang
- Department of Food Science and Technology, Harbin Institute of Technology, 150000, Harbin, China
- National Local Joint Laboratory of Extreme Environmental Nutritional Molecule Synthesis Transformation and Separation, 150000, Harbin, China
| | - Xiaohua Dong
- Department of Food Science and Technology, Harbin Institute of Technology, 150000, Harbin, China
- National Local Joint Laboratory of Extreme Environmental Nutritional Molecule Synthesis Transformation and Separation, 150000, Harbin, China
| | - Yane Luo
- College of Food Science and Technology, Northwest University, 710069, Xi'an, China
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, 710069, Xi'an, China
- Research Center of Food Safety Risk Assessment and Control, 710069, Xi'an, China
| | - Jinhong Hu
- College of Food Science and Technology, Northwest University, 710069, Xi'an, China
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, 710069, Xi'an, China
- Research Center of Food Safety Risk Assessment and Control, 710069, Xi'an, China
| | - Lina Zhu
- College of Food Science and Technology, Northwest University, 710069, Xi'an, China
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, 710069, Xi'an, China
- Research Center of Food Safety Risk Assessment and Control, 710069, Xi'an, China
| | - Xiaole Cui
- College of Food Science and Technology, Northwest University, 710069, Xi'an, China
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, 710069, Xi'an, China
- Research Center of Food Safety Risk Assessment and Control, 710069, Xi'an, China
| | - Bing Chen
- College of Food Science and Technology, Northwest University, 710069, Xi'an, China
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, 710069, Xi'an, China
- Research Center of Food Safety Risk Assessment and Control, 710069, Xi'an, China
| | - Lingling Li
- College of Food Science and Technology, Northwest University, 710069, Xi'an, China
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, 710069, Xi'an, China
- Research Center of Food Safety Risk Assessment and Control, 710069, Xi'an, China
| | - Congli Cai
- College of Food Science and Technology, Northwest University, 710069, Xi'an, China
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, 710069, Xi'an, China
- Research Center of Food Safety Risk Assessment and Control, 710069, Xi'an, China
| | - Haobo Cui
- College of Food Science and Technology, Northwest University, 710069, Xi'an, China
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, 710069, Xi'an, China
- Research Center of Food Safety Risk Assessment and Control, 710069, Xi'an, China
| | - Tianli Yue
- College of Food Science and Technology, Northwest University, 710069, Xi'an, China.
- Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, 710069, Xi'an, China.
- Research Center of Food Safety Risk Assessment and Control, 710069, Xi'an, China.
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Aukan MI, Coutinho S, Pedersen SA, Simpson MR, Martins C. Differences in gastrointestinal hormones and appetite ratings between individuals with and without obesity-A systematic review and meta-analysis. Obes Rev 2023; 24:e13531. [PMID: 36416279 PMCID: PMC10078575 DOI: 10.1111/obr.13531] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 08/26/2022] [Accepted: 10/27/2022] [Indexed: 11/24/2022]
Abstract
Determining if gastrointestinal (GI) hormone response to food intake differs between individuals with, and without, obesity may improve our understanding of obesity pathophysiology. A systematic review and meta-analysis of studies assessing the concentrations of GI hormones, as well as appetite ratings, following a test meal, in individuals with and without obesity was undertaken. Systematic searches were conducted in the databases MEDLINE, Embase, Cochrane Library, PsycINFO, Web of Science, and ClinicalTrials.gov. A total of 7514 unique articles were retrieved, 115 included in the systematic review, and 70 in the meta-analysis. The meta-analysis compared estimated standardized mean difference in GI hormones' concentration, as well as appetite ratings, between individuals with and without obesity. Basal and postprandial total ghrelin concentrations were lower in individuals with obesity compared with controls, and this was reflected by lower postprandial hunger ratings in the former. Individuals with obesity had a lower postprandial concentration of total peptide YY compared with controls, but no significant differences were found for glucagon-like peptide 1, cholecystokinin, or other appetite ratings. A large methodological and statistical heterogeneity among studies was found. More comprehensive studies are needed to understand if the differences observed are a cause or a consequence of obesity.
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Affiliation(s)
- Marthe Isaksen Aukan
- Obesity Research Group, Department of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Centre of Obesity and Innovation (ObeCe), Clinic of Surgery, St. Olav University Hospital, Trondheim, Norway
| | - Silvia Coutinho
- Obesity Research Group, Department of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Public Health Nutrition at the Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo (UiO), Oslo, Norway
| | - Sindre Andre Pedersen
- Library Section for Research Support, Data and Analysis, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Melanie Rae Simpson
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.,Clinical Research Unit Central Norway, St. Olavs Hospital, Trondheim, Norway
| | - Catia Martins
- Obesity Research Group, Department of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Centre of Obesity and Innovation (ObeCe), Clinic of Surgery, St. Olav University Hospital, Trondheim, Norway.,Department of Nutrition Sciences, the University of Alabama at Birmingham (UAB), Birmingham, Alabama, USA
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5
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Differences in gastrointestinal hormones and appetite ratings among obesity classes. Appetite 2022; 171:105940. [DOI: 10.1016/j.appet.2022.105940] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 01/13/2022] [Accepted: 01/15/2022] [Indexed: 01/03/2023]
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6
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Brouns F. Saccharide Characteristics and Their Potential Health Effects in Perspective. Front Nutr 2020; 7:75. [PMID: 32733909 PMCID: PMC7357269 DOI: 10.3389/fnut.2020.00075] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Accepted: 05/01/2020] [Indexed: 12/31/2022] Open
Abstract
To understand the effects of saccharides on our metabolism and health, we need a clear understanding of what they are, how they differ, and why some types are deemed "less healthy" and others "better for health." There are various ways to look at this topic. Firstly, saccharides can be classified according to their degree of polymerization (DP). This classification is useful when qualitative or quantitative analysis and calculation of intakes are required or for food-labeling definitions. However, it does not account for the fact that saccharides with a similar DP can differ in molecular composition, which will influence digestion, absorption, and metabolism. Secondly, another approach widely used in the biomedical and nutritional sciences is therefore a physiological classification, which addresses the rate and degree of digestibility and absorption, the glycemic response, and the metabolic fate. The individual health status also plays a role in this respect. An active, lean person will have a metabolic response that differs from an inactive person with overweight and insulin resistance. However, this approach will not give a complete answer either because the characteristics of the matrix/meal in which these carbohydrates (CHOs) are present will also influence the responses of our body. Thirdly, one can also rank CHOs by comparing their functional/technological properties, such as relative sweetness, viscosity, and solubility. Understanding CHO characteristics and related physiological responses will help understand health and disease implications. Therefore, a brief outline of different carbohydrate classifications is presented. This outline will be placed in the context of potential overall effects after consumption. The answer to the question whether we should we eat less of certain sugars depends on the angle from which you look at this matter; for example, do you address this question from a single molecular characteristic point of view or from a meal quality perspective? Looking at one particular CHO characteristic will almost always lead to a different conclusion (e.g., the labeling of fructose as toxic) than evaluating from a "total perspective" (fructose has adverse effects in certain conditions). Examples are given to help understand this matter for the benefit of justified dietary/food-based recommendations.
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Affiliation(s)
- Fred Brouns
- Department of Human Biology, Faculty of Health, Medicine and Life Sciences, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
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7
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Li JW, Fang B, Pang GF, Zhang M, Ren FZ. Age- and diet-specific effects of chronic exposure to chlorpyrifos on hormones, inflammation and gut microbiota in rats. PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY 2019; 159:68-79. [PMID: 31400786 DOI: 10.1016/j.pestbp.2019.05.018] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 04/15/2019] [Accepted: 05/24/2019] [Indexed: 05/28/2023]
Abstract
Chlorpyrifos is a pesticide frequently detected in food and has been reported to disturb endocrine and gut health, which was regulated by gut microbiota and enteroendocrine cells. In this study, newly weaned (3 week) and adult (8 week) male rats fed a normal- or high- fat diet were chronically exposed to 0.3 mg chlorpyrifos/kg bodyweight/day. The effects of chlorpyrifos exposure on serum hormone levels, proinflammatory cytokines and gut microbiota were evaluated. Chronic exposure to chlorpyrifos significantly decreased the concentrations of luteinizing hormone, follicule stimulating hormone and testosterone, which was found only in the normal-fat diet. The counteracted effect of high-fat diet was also found in gut hormones and proinflammatory cytokines. Significantly higher concentrations of glucagon-like peptide-1, pancreatic polypeptide, peptide tyrosine tyrosine (PYY), ghrelin, gastric inhibitory poly-peptide, IL-6, monocyte chemoattractant protein-1, and TNF-α were found in rats exposed to chlorpyrifos beginning at newly weaned, whereas only the PYY, ghrelin and IL-6 concentrations increased significantly in rats exposed in adulthood. Furthermore, a decrease in epinephrine induced by chlorpyrifos exposure was found in rats exposed to chlorpyrifos beginning at newly weaned, regardless of their diet. Chlorpyrifos-induced disturbances in the microbiome community structure were more apparent in rats fed a high-fat diet and exposed beginning at newly weaned. The affected bacteria included short-chain fatty acid-producing bacteria (Romboutsia, Turicibacter, Clostridium sensu stricto 1, norank_f_Coriobacteriaceae, Faecalibaculum, Parasutterella and norank_f__Erysipelotrichaceae), testosterone-related genus (Turicibacter, Brevibacterium), pathogenic bacteria (Streptococcus), and inflammation-related bacteria (unclassified_f__Ruminococcaceae, Ruminococcaceae_UCG-009, Parasutterella, Oscillibacter), which regulated the endocrine system via the hypothalamic-pituitary-adrenal axis, as well as the immune response and gut barrier. Early exposure accelerated the endocrine-disturbing effect and immune responses of chlorpyrifos, although these effects can be eased or recovered by a high-fat diet. This study helped clarify the relationship between disrupted endocrine function and gut microbiota dysbiosis induced by food contaminants such as pesticides.
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Affiliation(s)
- Jin-Wang Li
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Bing Fang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
| | - Guo-Fang Pang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Ming Zhang
- School of Food Science and Chemical Engineering, Beijing Technology and Business University, Beijing 100048, China
| | - Fa-Zheng Ren
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; Key Laboratory of Functional Dairy, Co-constructed by Ministry of Education and Beijing Government, Beijing Laboratory of Food Quality and Safety, China Agricultural University, Beijing 100083, China
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8
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How Satiating Are the 'Satiety' Peptides: A Problem of Pharmacology versus Physiology in the Development of Novel Foods for Regulation of Food Intake. Nutrients 2019; 11:nu11071517. [PMID: 31277416 PMCID: PMC6682889 DOI: 10.3390/nu11071517] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 06/27/2019] [Accepted: 06/28/2019] [Indexed: 12/15/2022] Open
Abstract
Developing novel foods to suppress energy intake and promote negative energy balance and weight loss has been a long-term but commonly unsuccessful challenge. Targeting regulation of appetite is of interest to public health researchers and industry in the quest to develop ‘functional’ foods, but poor understanding of the underpinning mechanisms regulating food intake has hampered progress. The gastrointestinal (GI) or ‘satiety’ peptides including cholecystokinin (CCK), glucagon-like peptide 1 (GLP-1) and peptide YY (PYY) secreted following a meal, have long been purported as predictive biomarkers of appetite response, including food intake. Whilst peptide infusion drives a clear change in hunger/fullness and eating behaviour, inducing GI-peptide secretion through diet may not, possibly due to modest effects of single meals on peptide levels. We conducted a review of 70 dietary preload (DIET) and peptide infusion (INFUSION) studies in lean healthy adults that reported outcomes of CCK, GLP-1 and PYY. DIET studies were acute preload interventions. INFUSION studies showed that minimum increase required to suppress ad libitum energy intake for CCK, GLP-1 and PYY was 3.6-, 4.0- and 3.1-fold, respectively, achieved through DIET in only 29%, 0% and 8% of interventions. Whether circulating ‘thresholds’ of peptide concentration likely required for behavioural change can be achieved through diet is questionable. As yet, no individual or group of peptides can be measured in blood to reliably predict feelings of hunger and food intake. Developing foods that successfully target enhanced secretion of GI-origin ‘satiety’ peptides for weight loss remains a significant challenge.
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Successful and unsuccessful weight-loss maintainers: strategies to counteract metabolic compensation following weight loss. J Nutr Sci 2018; 7:e20. [PMID: 29988905 PMCID: PMC6033771 DOI: 10.1017/jns.2018.11] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 04/16/2018] [Accepted: 05/15/2018] [Indexed: 12/17/2022] Open
Abstract
Adaptive thermogenesis and reduced fat oxidative capacity may accompany weight loss, continuing in weight maintenance. The present study aimed (1) to determine whether weight-reduced and weight-loss relapsed women are at greater metabolic risk for weight gain compared with BMI-matched controls with no weight-loss history, and (2) to identify protective strategies that might attenuate weight loss-associated adaptive thermogenesis and support successful weight-loss maintenance. Four groups of women were recruited: reduced-overweight/obese (RED, n 15), controls (low-weight stable weight; LSW, n 19) BMI <27 kg/m2; relapsed-overweight/obese (REL, n 11), controls (overweight/obese stable weight; OSW, n 11) BMI >27 kg/m2. Body composition (bioelectrical impedance), 75 g oral glucose tolerance test, fasting and postprandial metabolic rate (MR) and substrate utilisation (RER) and physical activity (accelerometer (7 d)) were measured. Sociobehavioural questionnaires and 3 × 24 h diet recalls were completed. Fasting and postprandial MR, RER and total daily energy intake (TDEI) were not different between RED and REL v. controls (P > 0·05). RED consumed less carbohydrate (44·8 (sd 10·3) v. 53·4 (sd 10·0) % TDEI, P = 0·020), more protein (19·2 (sd 6·0) v. 15·6 (sd 4·2) % TDEI, P = 0·049) and increased physical activity, but behaviourally reported greater dietary restraint (P = 0·002) compared with controls. TDEI, macronutrient intake and physical activity were similar between OSW and REL. REL reported higher subjective fasting and lower postprandial ratings of prospective food consumption compared with OSW. Weight-reduced women had similar RMR (adjusted for fat-free mass) compared with controls with no weight-loss history. Increased physical activity, higher protein intake and greater lean muscle mass may have counteracted weight loss-associated metabolic compensation and highlights their importance in weight-maintenance programmes.
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Key Words
- Energy expenditure
- FFM, fat-free mass
- FM, fat mass
- LSW, low-weight stable weight
- NREE, non-resting energy expenditure
- OSW, overweight/obese stable weight
- RED, reduced-overweight/obese
- REL, relapsed-overweight/obese
- Substrate utilisation
- TDEE, total daily energy expenditure
- TDEI, total daily energy intake
- TEF, thermic effect of feeding
- Weight-loss maintenance
- Weight-loss relapse
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10
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Muhardi L, Zhao Y, Solah V, Fyfe S, Soares MJ. The influence of ethnicity and glucose tolerance status on subjective hunger sensations and prospective food intake in overweight and obese Asian and European Australians. Diabetes Metab Syndr 2017; 11 Suppl 1:S391-S396. [PMID: 28325542 DOI: 10.1016/j.dsx.2017.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Accepted: 03/03/2017] [Indexed: 11/19/2022]
Abstract
AIMS To examine the influence of ethnicity and glucose tolerance status on subjective sensations and food intake in overweight/obese Asian and European Australians. METHODS 18 Asians and 26 Europids were classified as normal glucose tolerance (NGT) and impaired glucose tolerance (IGT) based on serial measures of finger-prick glucose following an oral glucose tolerance test (OGTT). Subjective sensations of hunger and satiety were measured before and every 15min after the OGTT using a visual analogue scale (VAS). Food intake was measured covertly from consumption of a buffet style lunch and from self-maintained 24h food records. All serial measurements were converted into total area under the curve (TAUC) and comparisons adjusted for age, fat and fat-free mass. RESULTS There was a significant difference interaction between ethnicity (ETH) and glucose tolerance (GTT) for subjective fullness, desire for food and prospective food intake. IGT Asians had significantly greater sensations of fullness, but lesser prospective food and desire to eat, as compared to other groups. However there were no differences in calorie and macronutrient intake at buffet lunch or over 24-h. CONCLUSION Interactions between ethnicity and glucose tolerance status in subjective sensations did not transcribe to differences in prospective food intake.
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Affiliation(s)
- Leilani Muhardi
- Food, Nutrition & Health, School of Public Health, Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.
| | - Yun Zhao
- Occupation & the Environment, School of Public Health, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.
| | - Vicky Solah
- Food, Nutrition & Health, School of Public Health, Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.
| | - Susan Fyfe
- Faculty of Health Sciences, Curtin University, Perth, WA, Australia.
| | - Mario J Soares
- Food, Nutrition & Health, School of Public Health, Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.
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11
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Schubert MM, Irwin C, Seay RF, Clarke HE, Allegro D, Desbrow B. Caffeine, coffee, and appetite control: a review. Int J Food Sci Nutr 2017; 68:901-912. [DOI: 10.1080/09637486.2017.1320537] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Matthew M. Schubert
- Department of Kinesiology, Auburn University at Montgomery, Montgomery, AL, USA
| | - Christopher Irwin
- School of Allied Health Sciences, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
| | - Rebekah F. Seay
- Department of Kinesiology, Auburn University at Montgomery, Montgomery, AL, USA
| | - Holly E. Clarke
- Department of Kinesiology, Auburn University at Montgomery, Montgomery, AL, USA
| | - Deanne Allegro
- Department of Kinesiology, Auburn University at Montgomery, Montgomery, AL, USA
| | - Ben Desbrow
- School of Allied Health Sciences, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
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