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Capra BT, Hudson S, Helder M, Laskaridou E, Johnson AL, Gilmore C, Marinik E, Hedrick VE, Savla J, David LA, Davy KP, Davy BM. Ultra-processed food intake, gut microbiome, and glucose homeostasis in mid-life adults: Background, design, and methods of a controlled feeding trial. Contemp Clin Trials 2024; 137:107427. [PMID: 38184104 PMCID: PMC10922925 DOI: 10.1016/j.cct.2024.107427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/06/2023] [Accepted: 01/01/2024] [Indexed: 01/08/2024]
Abstract
BACKGROUND Aging is associated with gut dysbiosis, low-grade inflammation, and increased risk of type 2 diabetes (T2D). Prediabetes, which increases T2D and cardiovascular disease risk, is present in 45-50% of mid-life adults. The gut microbiota may link ultra-processed food (UPF) with inflammation and T2D risk. METHODS Following a 2-week standardized lead-in diet (59% UPF), adults aged 40-65 years will be randomly assigned to a 6-week diet emphasizing either UPF (81% total energy) or non-UPF (0% total energy). Measurements of insulin sensitivity, 24-h and postprandial glycemic control, gut microbiota composition/function, fecal short chain fatty acids, intestinal inflammation, inflammatory cytokines, and vascular function will be made before and following the 6-week intervention period. Prior to recruitment, menus were developed in order to match UPF and non-UPF conditions based upon relevant dietary factors. Menus were evaluated for palatability and costs, and the commercial additive content of study diets was quantified to explore potential links with outcomes. RESULTS Overall diet palatability ratings were similar (UPF = 7.6 ± 1.0; Non-UPF = 6.8 ± 1.5; Like Moderately = 7, Like Very Much = 8). Cost analysis (food + labor) of the 2000 kcal menu (7-d average) revealed lower costs for UPF compared to non-UPF diets ($20.97/d and $40.23/d, respectively). Additive exposure assessment of the 2000 kcal UPF diet indicated that soy lecithin (16×/week), citric acid (13×/week), sorbic acid (13×/week), and sodium citrate (12×/week) were the most frequently consumed additives. CONCLUSIONS Whether UPF consumption impairs glucose homeostasis in mid-life adults is unknown. Findings will address this research gap and contribute information on how UPF consumption may influence T2D development.
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Affiliation(s)
- Bailey T Capra
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, 229 Wallace Hall, Blacksburg, VA 24061, United States of America; Virginia Tech Translational Obesity Research Interdisciplinary Graduate Education Program, United States of America.
| | - Summer Hudson
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, 229 Wallace Hall, Blacksburg, VA 24061, United States of America
| | - McKenna Helder
- Department of Food Science and Technology, Virginia Tech,United States of America
| | - Eleni Laskaridou
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, 229 Wallace Hall, Blacksburg, VA 24061, United States of America; Virginia Tech Translational Obesity Research Interdisciplinary Graduate Education Program, United States of America
| | - Aubrey L Johnson
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, 229 Wallace Hall, Blacksburg, VA 24061, United States of America; Virginia Tech Translational Obesity Research Interdisciplinary Graduate Education Program, United States of America
| | - Carson Gilmore
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, 229 Wallace Hall, Blacksburg, VA 24061, United States of America
| | - Elaina Marinik
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, 229 Wallace Hall, Blacksburg, VA 24061, United States of America; Virginia Tech Translational Obesity Research Interdisciplinary Graduate Education Program, United States of America
| | - Valisa E Hedrick
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, 229 Wallace Hall, Blacksburg, VA 24061, United States of America; Virginia Tech Translational Obesity Research Interdisciplinary Graduate Education Program, United States of America
| | - Jyoti Savla
- Virginia Tech Translational Obesity Research Interdisciplinary Graduate Education Program, United States of America; Center for Gerontology, Virginia Tech, United States of America
| | - Lawrence A David
- Department of Molecular Genetics & Microbiology, Duke University, United States of America; Duke Microbiome Center, Duke University, United States of America
| | - Kevin P Davy
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, 229 Wallace Hall, Blacksburg, VA 24061, United States of America; Virginia Tech Translational Obesity Research Interdisciplinary Graduate Education Program, United States of America
| | - Brenda M Davy
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, 229 Wallace Hall, Blacksburg, VA 24061, United States of America; Virginia Tech Translational Obesity Research Interdisciplinary Graduate Education Program, United States of America
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Rego MLM, Leslie E, Capra BT, Helder M, Yu W, Katz B, Davy KP, Hedrick VE, Davy BM, DiFeliceantonio AG. The influence of ultra-processed food consumption on reward processing and energy intake: Background, design, and methods of a controlled feeding trial in adolescents and young adults. Contemp Clin Trials 2023; 135:107381. [PMID: 37935307 PMCID: PMC10872704 DOI: 10.1016/j.cct.2023.107381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/18/2023] [Accepted: 11/03/2023] [Indexed: 11/09/2023]
Abstract
BACKGROUND The greatest age-related weight gain occurs in the early/mid-20s. Overall dietary quality among adolescents and emerging adults (age 18-25) is poor, with ultra-processed foods (UPF) representing more than two-thirds of adolescents' total energy intake (i.e., 68%). UPF consumption may impact cognitive and neurobiological factors that influence dietary decision-making and energy intake (EI). To date, no research has addressed this in this population. METHODS Participants aged 18-25 will undergo two 14-day controlled feeding periods (81% UPF, 0% UPF) using a randomly assigned crossover design, with a 4-week washout between conditions. Brain response to a UPF-rich milkshake, as well as behavioral measures of executive function, will be evaluated before and after each diet. Following each diet, measurements include ad libitum buffet meal EI, food selection, eating rate, and eating in the absence of hunger (EAH). Prior to initiating recruitment, controlled diet menus, buffet, and EAH snacks were developed and evaluated for palatability. Sensory and texture attributes of buffet and EAH snack foods were also evaluated. RESULTS Overall diet palatability was rated "like very much" (8)/"like moderately"(7) (UPF: 7.6 ± 1.0; Non-UPF: 6.8 ± 1.5). Subjective hardness rating (range = 1-9 [1 = soft, 9 = hard] was similar between UPF and Non-UPF buffet and snack items (UPF:4.22 ± 2.19, Non-UPF: 4.70 ± 2.03), as was the objective measure of hardness (UPF: 2874.33 ± 2497.06 g, Non-UPF: 2243.32 ± 1700.51 g). CONCLUSIONS Findings could contribute to an emerging neurobiological understanding of the effects of UPF consumption including energy overconsumption and weight gain among individuals at a critical developmental stage.
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Affiliation(s)
- Maria L M Rego
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, USA.
| | - Emma Leslie
- Fralin Biomedical Research Institute, Virginia Tech, USA
| | - Bailey T Capra
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, USA
| | - Mckenna Helder
- Department of Food Science and Technology, Virginia Tech, USA
| | - Wenjing Yu
- Fralin Biomedical Research Institute, Virginia Tech, USA
| | - Benjamin Katz
- Department of Human Development and Family Science, Virginia Tech, USA
| | - Kevin P Davy
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, USA
| | - Valisa E Hedrick
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, USA
| | - Brenda M Davy
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, USA
| | - Alexandra G DiFeliceantonio
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, USA; Fralin Biomedical Research Institute, Virginia Tech, USA
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