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Fatahi S, Fotros D, Sohouli MH, Vahidshahi K, Rohani P, Guimarães NS. Meal replacements on obesity and leptin: a systematic review and meta-analysis. Rev Endocr Metab Disord 2025; 26:55-80. [PMID: 39433654 DOI: 10.1007/s11154-024-09918-5] [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] [Accepted: 10/09/2024] [Indexed: 10/23/2024]
Abstract
The global prevalence of obesity and overweight is a significant concern in the field of public health. Numerous interventional studies have been conducted to assess the possible meal replacements (MRs) effect on anthropometric indicators and indices and laboratory test that reflect obesity. However, there are no comprehensive results in this field. The study aim was to understand the possible effects of MRs on body weight, body mass index (BMI), fat mass, waist circumferences (WC), and leptin levels. A systematic search was conducted in five electronic databases in order to find randomized clinical trials (RCTs) that examined the possible MRs effect on obesity. Analyses were performed in R software, version 4.2.1. The random-effects model analysis was used to provide pooled mean difference and 95% confidence intervals (95% CI). Seventy studies were included. Body weight (WMD: -3.35 kg, 95% CI: -4.28 to -2.42), BMI (WMD: -1.12 kg/m2, 95% CI: -1.51 to -0.72), fat mass (WMD: -2.77 kg, 95% CI: -3.59 to -1.6), WC (WMD: -2.82 cm, 95% CI: -3.51 to -2.12) were significantly reduced after MRs compared to control. No significant effect was observed on leptin (WMD: -3.37 ng/ml, 95% CI: -8.23 to 1.49). Subgroup analyses indicated that impact of total MRs on anthropometric factors was greater in comparison to partial MRs. Considering other lifestyle factors, MRs can lead to anthropometric indicators and indices reduction.
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Affiliation(s)
- Somaye Fatahi
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Danial Fotros
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Hassan Sohouli
- Pediatric Gastroenterology and Hepatology Research Center, Pediatrics Centre of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Koroush Vahidshahi
- Department of Pediatric Cardiology, School of Medicine, Shahid Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Pejman Rohani
- Pediatric Gastroenterology and Hepatology Research Center, Pediatrics Centre of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.
| | - Nathalia Sernizon Guimarães
- Department of Nutrition, Nursing School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
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Edwards-Hampton SA, Ard J. The latest evidence and clinical guidelines for use of meal replacements in very-low-calorie diets or low-calorie diets for the treatment of obesity. Diabetes Obes Metab 2024; 26 Suppl 4:28-38. [PMID: 39109480 DOI: 10.1111/dom.15819] [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: 04/29/2024] [Revised: 06/24/2024] [Accepted: 07/02/2024] [Indexed: 08/28/2024]
Abstract
Obesity is a complex chronic disease with increasing prevalence across the globe. Medical nutrition therapy (MNT) is an important component of obesity treatment, and low-calorie diets (LCDs) and very-low-calorie diets (VLCDs) are part of the MNT toolbox. This narrative review focuses on the latest evidence and clinical guidelines regarding the use and impact of meal replacements (MRs) as part of LCDs/VLCDs for the treatment of obesity and some associated complications. MRs can be used in conjunction with food as partial diet replacement (PDR) or can be used exclusively to serve as the sole source of dietary energy (total diet replacement [TDR]). Use of MR may be associated with better control of cravings and hunger typically observed during reduced calorie intake through effects of ketosis or stimuli narrowing, although the exact mechanisms for these effects remain unclear. Several clinical guidelines have endorsed the use of MRs as a part of MNT for obesity, primarily based on evidence that shows an average weight reduction of ~10 kg or more with TDR over at least 12 months in large, randomized controlled trials. When compared to usual care controls, these effects are 6-8 kg greater, and when compared to food-based diets, the effects are nearly twice the effect of a food-based diet. MR-based diets have been found to be safe and associated with improvements in quality of life. These diets are also effective for improving key cardiometabolic health outcomes, including dysglycaemia, blood pressure, lipids, and metabolic associated fatty liver. The effectiveness, safety, and associated health improvement makes MRs use a valuable strategy for several higher risk clinical scenarios where weight reduction is indicated.
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Affiliation(s)
- Shenelle A Edwards-Hampton
- Department of General Surgery, Wake Forest University School of Medicine, Winston Salem, North Carolina, USA
- Weight Management Center, Atrium Health Wake Forest Baptist, Winston Salem, North Carolina, USA
| | - Jamy Ard
- Weight Management Center, Atrium Health Wake Forest Baptist, Winston Salem, North Carolina, USA
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston Salem, North Carolina, USA
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Ye W, Xu L, Ye Y, Zeng F, Lu X, Li Y, Liu L. Efficacy and Safety of Meal Replacement in Patients With Type 2 Diabetes. J Clin Endocrinol Metab 2023; 108:3041-3049. [PMID: 37192345 DOI: 10.1210/clinem/dgad273] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/09/2023] [Accepted: 05/12/2023] [Indexed: 05/18/2023]
Abstract
CONTEXT Meal replacement (MR) is beneficial for the management of type 2 diabetes (T2D). However, MR prescription and patient characteristics vary substantially between studies using MR in T2D patients. OBJECTIVE This work aimed to evaluate the efficacy and safety of MR in T2D patients by meta-analysis, with a focus on subgroup analysis of variable participant characteristics and MR prescription. METHODS We searched PubMed, CENTRAL, Embase, Web of Science, and the clinical trial registration database up to March 2022. We included randomized controlled trials (RCTs) of 2 weeks or more assessing the effect and safety of MR in T2D patients in comparison with conventional diabetic diets (CDs). RESULTS A total of 17 RCTs involving 2112 participants were ultimately included. Compared with CDs, MR significantly reduced glycated hemoglobin A1c (HbA1c) (MD -0.46%; P < .001), fasting blood glucose (FBG, -0.62 mmol/L; P < .001), body weight (-2.43 kg; P < .001), and body mass index (BMI, -0.65; P < .001), and improved other cardiometabolic risk factors. In subgroup analyses, total MR showed greater improvement in HbA1c (-0.72% vs -0.32%; P = .01), FBG (-1.45 vs -0.56 mmol/L; P = .02), body weight (-6.57 vs -1.58 kg; P < .001), and BMI (-2.78 vs -0.37; P < .001) than partial MR. MR with caloric restriction showed more reduction in body weight (-3.20 vs -0.75 kg; P < .001) and BMI (-0.84 vs -0.24; P = .003) compared with those without caloric restriction. MR showed similar benefits in studies that included patients using insulin and those that did not. Both partial and total MR were well tolerated. CONCLUSION Compared with CDs, the MR-based dietary pattern further improved the glycemic control and adipose indicators in T2D patients. Appropriate calorie restriction and total MR might be more beneficial, while both patients treated with or without insulin treatment could similarly benefit from MR usage.
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Affiliation(s)
- Wenjing Ye
- Department of Endocrinology and Diabetes Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
| | - Lijuan Xu
- Department of Endocrinology and Diabetes Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
| | - Yanbin Ye
- Department of Clinical Nutrition, The First Affiliated Hospital, Jinan University, Guangzhou, 510630, China
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangdong, 510632, China
| | - Xin Lu
- Department of Endocrinology and Diabetes Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
| | - Yanbing Li
- Department of Endocrinology and Diabetes Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
| | - Liehua Liu
- Department of Endocrinology and Diabetes Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
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Kilpatrick LA, An HM, Pawar S, Sood R, Gupta A. Neuroimaging Investigations of Obesity: a Review of the Treatment of Sex from 2010. Curr Obes Rep 2023; 12:163-174. [PMID: 36933153 PMCID: PMC10250271 DOI: 10.1007/s13679-023-00498-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/15/2023] [Indexed: 03/19/2023]
Abstract
PURPOSE OF REVIEW To summarize the results of adult obesity neuroimaging studies (structural, resting-state, task-based, diffusion tensor imaging) published from 2010, with a focus on the treatment of sex as an important biological variable in the analysis, and identify gaps in sex difference research. RECENT FINDINGS Neuroimaging studies have shown obesity-related changes in brain structure, function, and connectivity. However, relevant factors such as sex are often not considered. We conducted a systematic review and keyword co-occurrence analysis. Literature searches identified 6281 articles, of which 199 met inclusion criteria. Among these, only 26 (13%) considered sex as an important variable in the analysis, directly comparing the sexes (n = 10; 5%) or providing single-sex/disaggregated data (n = 16, 8%); the remaining studies controlled for sex (n = 120, 60%) or did not consider sex in the analysis (n = 53, 27%). Synthesizing sex-based results, obesity-related parameters (e.g., body mass index, waist circumference, obese status) may be generally associated with more robust morphological alterations in men and more robust structural connectivity alterations in women. Additionally, women with obesity generally expressed increased reactivity in affect-related regions, while men with obesity generally expressed increased reactivity in motor-related regions; this was especially true under a fed state. The keyword co-occurrence analysis indicated that sex difference research was especially lacking in intervention studies. Thus, although sex differences in the brain associated with obesity are known to exist, a large proportion of the literature informing the research and treatment strategies of today has not specifically examined sex effects, which is needed to optimize treatment.
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Affiliation(s)
- Lisa A Kilpatrick
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Hyeon Min An
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Shrey Pawar
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Riya Sood
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Arpana Gupta
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA.
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA.
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA.
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Kozarzewski L, Maurer L, Mähler A, Spranger J, Weygandt M. Computational approaches to predicting treatment response to obesity using neuroimaging. Rev Endocr Metab Disord 2022; 23:773-805. [PMID: 34951003 PMCID: PMC9307532 DOI: 10.1007/s11154-021-09701-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/02/2021] [Indexed: 12/11/2022]
Abstract
Obesity is a worldwide disease associated with multiple severe adverse consequences and comorbid conditions. While an increased body weight is the defining feature in obesity, etiologies, clinical phenotypes and treatment responses vary between patients. These variations can be observed within individual treatment options which comprise lifestyle interventions, pharmacological treatment, and bariatric surgery. Bariatric surgery can be regarded as the most effective treatment method. However, long-term weight regain is comparably frequent even for this treatment and its application is not without risk. A prognostic tool that would help predict the effectivity of the individual treatment methods in the long term would be essential in a personalized medicine approach. In line with this objective, an increasing number of studies have combined neuroimaging and computational modeling to predict treatment outcome in obesity. In our review, we begin by outlining the central nervous mechanisms measured with neuroimaging in these studies. The mechanisms are primarily related to reward-processing and include "incentive salience" and psychobehavioral control. We then present the diverse neuroimaging methods and computational prediction techniques applied. The studies included in this review provide consistent support for the importance of incentive salience and psychobehavioral control for treatment outcome in obesity. Nevertheless, further studies comprising larger sample sizes and rigorous validation processes are necessary to answer the question of whether or not the approach is sufficiently accurate for clinical real-world application.
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Affiliation(s)
- Leonard Kozarzewski
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité Center for Cardiovascular Research, 10117, Berlin, Germany
| | - Lukas Maurer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité Center for Cardiovascular Research, 10117, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Anja Mähler
- Max Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Experimental and Clinical Research Center (ECRC), 13125, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), partner site Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NeuroCure Clinical Research Center, 10117, Berlin, Germany
| | - Joachim Spranger
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité Center for Cardiovascular Research, 10117, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Martin Weygandt
- Max Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Experimental and Clinical Research Center (ECRC), 13125, Berlin, Germany.
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NeuroCure Clinical Research Center, 10117, Berlin, Germany.
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6
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Legget KT, Cornier MA, Erpelding C, Lawful BP, Bear JJ, Kronberg E, Tregellas JR. An implicit priming intervention alters brain and behavioral responses to high-calorie foods: a randomized controlled study. Am J Clin Nutr 2022; 115:1194-1204. [PMID: 35030242 PMCID: PMC8970978 DOI: 10.1093/ajcn/nqac009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 01/11/2022] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Conditioned food cues (e.g., smell, sight) can affect intake of foods associated with those cues, regardless of homeostatic need. As such, altering automatic associations with food cues could support weight loss or maintenance efforts by affecting the salience of those cues and the effort required to resist consumption. OBJECTIVES This study investigated neuronal and behavioral effects of an implicit priming (IP) intervention, in which negatively valenced images were paired with high-calorie foods and positively valenced images with low-calorie foods. Priming images were presented immediately before food images, but below conscious perception (20 ms). We hypothesized that this evaluative conditioning approach could alter food cue responses by modifying affective associations. METHODS The final sample included 41 adults with BMI ≥25 kg/m2 (n = 22, active IP; n = 19, control IP). In control IP, food images were primed with neutral, scrambled images. Participants completed a visual food cue task during fMRI, both before and after IP. To determine the replicability of prior behavioral findings, food image ratings were completed before and after IP as a secondary outcome. RESULTS In a whole-brain analysis, reduced dorsolateral prefrontal cortex (dlPFC) response to high-calorie foods was observed after active compared with control IP (t = 4.93, P = 0.033). With a region of interest analysis, reduced response to high-calorie foods in active compared with control IP was also observed in the striatum (t = 2.40, P = 0.009) and insula (t = 2.38, P = 0.010). Active compared with control IP was associated with reduced high-calorie food ratings (F = 4.70, P = 0.038). CONCLUSIONS Reduced insula and striatum response to high-calorie foods after active compared with control IP suggests effectiveness of IP in altering food cue salience. Reduced dlPFC response to high-calorie foods after active compared with control IP may reflect fewer attentional resources being directed to those images and reduced engagement of inhibitory processes.This trial was registered at clinicaltrials.gov as NCT02347527.
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Affiliation(s)
| | - Marc-Andre Cornier
- Research Service, Rocky Mountain Regional VA Medical Center, Aurora, CO, USA,Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA,Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Division of Geriatric Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
| | - Christina Erpelding
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
| | - Benjamin P Lawful
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
| | - Joshua J Bear
- Department of Pediatrics, Section of Neurology, Children's Hospital Colorado, Aurora, CO, USA,Department of Pediatrics, Section of Neurology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
| | - Eugene Kronberg
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA,Department of Neurology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
| | - Jason R Tregellas
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA,Research Service, Rocky Mountain Regional VA Medical Center, Aurora, CO, USA
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The role of the nucleus accumbens and ventral pallidum in feeding and obesity. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110394. [PMID: 34242717 DOI: 10.1016/j.pnpbp.2021.110394] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 05/31/2021] [Accepted: 06/29/2021] [Indexed: 02/04/2023]
Abstract
Obesity is a growing global epidemic that stems from the increasing availability of highly-palatable foods and the consequent enhanced calorie consumption. Extensive research has shown that brain regions that are central to reward seeking modulate feeding and evidence linking obesity to pathology in such regions have recently started to accumulate. In this review we focus on the contribution of two major interconnected structures central to reward processing, the nucleus accumbens and the ventral pallidum, to obesity. We first review the known literature linking these structures to feeding behavior, then discuss recent advances connecting pathology in the nucleus accumbens and ventral pallidum to obesity, and finally examine the similarities and differences between drug addiction and obesity in the context of these two structures. The understanding of how pathology in brain regions involved in reward seeking and consumption may drive obesity and how mechanistically similar obesity and addiction are, is only now starting to be revealed. We hope that future research will advance knowledge in the field and open new avenues to studying and treating obesity.
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Oliveira CLP, Boulé NG, Elliott SA, Sharma AM, Siervo M, Berg A, Ghosh S, Prado CM. A high-protein total diet replacement alters the regulation of food intake and energy homeostasis in healthy, normal-weight adults. Eur J Nutr 2021; 61:1849-1861. [PMID: 34928408 PMCID: PMC9106637 DOI: 10.1007/s00394-021-02747-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 11/16/2021] [Indexed: 10/24/2022]
Abstract
PURPOSE Dietary intake can affect energy homeostasis and influence body weight control. The aim of this study was to compare the impact of high-protein total diet replacement (HP-TDR) versus a control (CON) diet in the regulation of food intake and energy homeostasis in healthy, normal-weight adults. METHODS In this acute randomized controlled, cross-over study, participants completed two isocaloric arms: a) HP-TDR: 35% carbohydrate, 40% protein, and 25% fat; b) CON: 55% carbohydrate, 15% protein, and 30% fat. The diets were provided for 32 h while inside a whole-body calorimetry unit. Appetite sensations, appetite-related hormones, and energy metabolism were assessed. RESULTS Forty-three healthy, normal-weight adults (19 females) participated. Appetite sensations did not differ between diets (all p > 0.05). Compared to the CON diet, the change in fasting blood markers during the HP-TDR intervention was smaller for peptide tyrosine-tyrosine (PYY; - 18.9 ± 7.9 pg/mL, p = 0.02) and greater for leptin (1859 ± 652 pg/mL, p = 0.007). Moreover, postprandial levels of glucagon-like peptide 1 (1.62 ± 0.36 pM, p < 0.001) and PYY (31.37 ± 8.05 pg/mL, p < 0.001) were higher in the HP-TDR. Significant correlations were observed between energy balance and satiety (r = - 0.41, p = 0.007), and energy balance and PFC (r = 0.33, p = 0.033) in the HP-TDR. CONCLUSION Compared to the CON diet, the HP-TDR increased blood levels of anorexigenic hormones. Moreover, females and males responded differently to the intervention in terms of appetite sensations and appetite-related hormones. TRIAL REGISTRATION NCT02811276 (retrospectively registered on 16 June 2016) and NCT03565510 (retrospectively registered on 11 June 2018).
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Affiliation(s)
- Camila L P Oliveira
- Human Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.,Alberta Diabetes Institute, University of Alberta, Edmonton, AB, Canada
| | - Normand G Boulé
- Alberta Diabetes Institute, University of Alberta, Edmonton, AB, Canada.,Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB, Canada
| | - Sarah A Elliott
- Human Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.,Alberta Research Centre for Health Evidence, University of Alberta, Edmonton, AB, Canada
| | - Arya M Sharma
- Division of Endocrinology and Metabolism, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Mario Siervo
- School of Life Sciences, Division of Physiology, Pharmacology and Neuroscience, University of Nottingham, Nottingham, England, UK
| | - Aloys Berg
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Sunita Ghosh
- Department of Medical Oncology, University of Alberta, Edmonton, AB, Canada
| | - Carla M Prado
- Human Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada. .,Alberta Diabetes Institute, University of Alberta, Edmonton, AB, Canada.
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Salem V, Demetriou L, Behary P, Alexiadou K, Scholtz S, Tharakan G, Miras AD, Purkayastha S, Ahmed AR, Bloom SR, Wall MB, Dhillo WS, Tan TMM. Weight Loss by Low-Calorie Diet Versus Gastric Bypass Surgery in People With Diabetes Results in Divergent Brain Activation Patterns: A Functional MRI Study. Diabetes Care 2021; 44:1842-1851. [PMID: 34158363 PMCID: PMC8385466 DOI: 10.2337/dc20-2641] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 05/18/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Weight loss achieved with very-low-calorie diets (VLCDs) can produce remission of type 2 diabetes (T2D), but weight regain very often occurs with reintroduction of higher calorie intakes. In contrast, bariatric surgery produces clinically significant and durable weight loss, with diabetes remission that translates into reductions in mortality. We hypothesized that in patients living with obesity and prediabetes/T2D, longitudinal changes in brain activity in response to food cues as measured using functional MRI would explain this difference. RESEARCH DESIGN AND METHODS Sixteen participants underwent gastric bypass surgery, and 19 matched participants undertook a VLCD (meal replacement) for 4 weeks. Brain responses to food cues and resting-state functional connectivity were assessed with functional MRI pre- and postintervention and compared across groups. RESULTS We show that Roux-en-Y gastric bypass surgery (RYGB) results in three divergent brain responses compared with VLCD-induced weight loss: 1) VLCD resulted in increased brain reward center food cue responsiveness, whereas in RYGB, this was reduced; 2) VLCD resulted in higher neural activation of cognitive control regions in response to food cues associated with exercising increased cognitive restraint over eating, whereas RYGB did not; and 3) a homeostatic appetitive system (centered on the hypothalamus) is better engaged following RYGB-induced weight loss than VLCD. CONCLUSIONS Taken together, these findings point to divergent brain responses to different methods of weight loss in patients with diabetes, which may explain weight regain after a short-term VLCD in contrast to enduring weight loss after RYGB.
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Affiliation(s)
- Victoria Salem
- Department of Digestion, Metabolism and Reproduction, Imperial College London, London, U.K
| | | | - Preeshila Behary
- Department of Digestion, Metabolism and Reproduction, Imperial College London, London, U.K
| | - Kleopatra Alexiadou
- Department of Digestion, Metabolism and Reproduction, Imperial College London, London, U.K
| | - Samantha Scholtz
- West London Mental Health National Health Service Trust, London, U.K
| | - George Tharakan
- Department of Digestion, Metabolism and Reproduction, Imperial College London, London, U.K
| | - Alexander D Miras
- Department of Digestion, Metabolism and Reproduction, Imperial College London, London, U.K
| | - Sanjay Purkayastha
- Department of Surgery and Cancer, Imperial College Healthcare National Health Service Trust, London, U.K
| | - Ahmed R Ahmed
- Department of Surgery and Cancer, Imperial College Healthcare National Health Service Trust, London, U.K
| | - Stephen R Bloom
- Department of Digestion, Metabolism and Reproduction, Imperial College London, London, U.K
| | - Matthew B Wall
- Department of Digestion, Metabolism and Reproduction, Imperial College London, London, U.K.,Invicro London, Hammersmith Hospital, London, U.K
| | - Waljit S Dhillo
- Department of Digestion, Metabolism and Reproduction, Imperial College London, London, U.K
| | - Tricia M-M Tan
- Department of Digestion, Metabolism and Reproduction, Imperial College London, London, U.K.
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Sewaybricker LE, Melhorn SJ, Rosenbaum JL, Askren MK, Tyagi V, Webb MF, De Leon MRB, Grabowski TJ, Schur EA. Reassessing relationships between appetite and adiposity in people at risk of obesity: A twin study using fMRI. Physiol Behav 2021; 239:113504. [PMID: 34147511 DOI: 10.1016/j.physbeh.2021.113504] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 06/03/2021] [Accepted: 06/16/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Neuroimaging studies suggest that appetitive drive is enhanced in obesity. OBJECTIVE To test if appetitive drive varies in direct proportion to the level of body adiposity after accounting for genetic factors that contribute to both brain response and obesity risk. SUBJECTS/METHODS Participants were adult monozygotic (n = 54) and dizygotic (n = 30) twins with at least one member of the pair with obesity. Body composition was assessed by dual-energy X-ray absorptiometry. Hormonal and appetite measures were obtained in response to a standardized meal that provided 20% of estimated daily caloric needs and to an ad libitum buffet meal. Pre- and post-meal functional magnetic resonance imaging (fMRI) assessed brain response to visual food cues in a set of a priori appetite-regulating regions. Exploratory voxelwise analyses outside a priori regions were performed with correction for multiple comparisons. RESULTS In a group of 84 adults, the majority with obesity (75%), body fat mass was not associated with hormonal responses to a meal (glucose, insulin, glucagon-like peptide-1 and ghrelin, all P>0.40), subjective feelings of hunger (β=-0.01 mm [95% CI -0.35, 0.34] P = 0.97) and fullness (β=0.15 mm [-0.15, 0.44] P = 0.33), or buffet meal intake in relation to estimated daily caloric needs (β=0.28% [-0.05, 0.60] P = 0.10). Body fat mass was also not associated with brain response to high-calorie food cues in appetite-regulating regions (Pre-meal β=-0.12 [-0.32, 0.09] P = 0.26; Post-meal β=0.18 [-0.02, 0.37] P = 0.09; Change by a meal β=0.29 [-0.02, 0.61] P = 0.07). Conversely, lower fat mass was associated with being weight reduced (β=-0.05% [-0.07, -0.03] P<0.001) and greater pre-meal activation to high-calorie food cues in the dorsolateral prefrontal cortex (Z = 3.63 P = 0.017). CONCLUSIONS In a large study of adult twins, the majority with overweight or obesity, the level of adiposity was not associated with excess appetitive drive as assessed by behavioral, hormonal, or fMRI measures.
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Affiliation(s)
- Leticia E Sewaybricker
- Department of Medicine, University of Washington, 1959 NE Pacific St. Box 356420, Seattle, WA, 98195 USA
| | - Susan J Melhorn
- Department of Medicine, University of Washington, 1959 NE Pacific St. Box 356420, Seattle, WA, 98195 USA
| | - Jennifer L Rosenbaum
- Department of Medicine, University of Washington, 1959 NE Pacific St. Box 356420, Seattle, WA, 98195 USA
| | - Mary K Askren
- Departments of Radiology and Neurology, University of Washington, 1959 NE Pacific St. Seattle, WA, 98195 USA
| | - Vidhi Tyagi
- Department of Medicine, University of Washington, 1959 NE Pacific St. Box 356420, Seattle, WA, 98195 USA
| | - Mary F Webb
- Department of Medicine, University of Washington, 1959 NE Pacific St. Box 356420, Seattle, WA, 98195 USA
| | - Mary Rosalynn B De Leon
- Department of Medicine, University of Washington, 1959 NE Pacific St. Box 356420, Seattle, WA, 98195 USA
| | - Thomas J Grabowski
- Departments of Radiology and Neurology, University of Washington, 1959 NE Pacific St. Seattle, WA, 98195 USA
| | - Ellen A Schur
- Department of Medicine, University of Washington, 1959 NE Pacific St. Box 356420, Seattle, WA, 98195 USA.
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Gordon EL, Lent MR, Merlo LJ. The Effect of Food Composition and Behavior on Neurobiological Response to Food: a Review of Recent Research. Curr Nutr Rep 2021; 9:75-82. [PMID: 32157660 DOI: 10.1007/s13668-020-00305-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
PURPOSE OF REVIEW Controversy surrounds the construct of food addiction. The current review examines neurobiological evidence for the existence of food addiction as a valid diagnosis. RECENT FINDINGS Recent neuroimaging studies suggest significant overlap in the areas of the brain that are activated in relation to both food and drug addiction. Specifically, areas of the brain implicated in executive functioning (e.g., attention, planning, decision-making, inhibition), pleasure and the experience of reward, and sensory input and motor functioning display increased activation among individuals with symptoms of both food and drug addiction. Proposed symptoms of food addiction mirror those comprising other substance use disorder diagnoses, with similar psychological and behavioral sequelae. Results of neuroimaging studies suggest significant overlap in the areas of the brain that are activated in relation to both food and drug addiction, providing support for continued research into the construct of food addiction.
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Affiliation(s)
- Eliza L Gordon
- Department of Clinical and Health Psychology, University of Florida, P.O. Box 100165, Gainesville, FL, 32610-0165, USA
| | - Michelle R Lent
- School of Professional and Applied Psychology, Philadelphia College of Osteopathic Medicine, Rowland Hall 532a, 4190 City Avenue, Philadelphia, PA, 19131, USA
| | - Lisa J Merlo
- Department of Psychiatry, University of Florida College of Medicine, McKnight Brain Institute, L4-100K, PO Box 100256, Gainesville, FL, 32611, USA.
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Oliveira CLP, Boulé NG, Sharma AM, Elliott SA, Siervo M, Ghosh S, Berg A, Prado CM. A high-protein total diet replacement increases energy expenditure and leads to negative fat balance in healthy, normal-weight adults. Am J Clin Nutr 2021; 113:476-487. [PMID: 33247306 PMCID: PMC7851826 DOI: 10.1093/ajcn/nqaa283] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 09/15/2020] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND High-protein diets and total diet replacements are becoming increasingly popular for weight loss; however, further research is needed to elucidate their impact on the mechanisms involved in weight regulation. OBJECTIVE The aim of this inpatient metabolic balance study was to compare the impact of a high-protein total diet replacement (HP-TDR) versus a control diet (CON) on select components of energy metabolism in healthy adults of both sexes. METHODS The acute intervention was a randomized, controlled, crossover design with participants allocated to 2 isocaloric arms: 1) HP-TDR: 35% carbohydrate, 40% protein, and 25% fat achieved through a nutritional supplement; 2) CON: 55% carbohydrate, 15% protein, and 30% fat. Participants received the prescribed diets for 32 h while inside a whole-body calorimetry unit (WBCU). The first dietary intervention randomly offered in the WBCU was designed to maintain energy balance and the second matched what was offered during the first stay. Energy expenditure, macronutrient oxidation rates and balances, and metabolic blood markers were assessed. Body composition was measured at baseline using DXA. RESULTS Forty-three healthy, normal-weight adults (19 females and 24 males) were included. Compared with the CON diet, the HP-TDR produced higher total energy expenditure [(EE) 81 ± 82 kcal/d, P <0.001], protein and fat oxidation rates (38 ± 34 g/d, P <0.001; 8 ± 20 g/d, P = 0.013, respectively), and a lower carbohydrate oxidation rate (-38 ± 43 g/d, P <0.001). Moreover, a HP-TDR led to decreased energy (-112 ± 85 kcal/d; P <0.001), fat (-22 ± 20 g/d; P <0.001), and carbohydrate balances (-69 ± 44 g/d; P <0.001), and increased protein balance (90 ± 32 g/d; P <0.001). CONCLUSIONS Our primary findings were that a HP-TDR led to higher total EE, increased fat oxidation, and negative fat balance. These results suggest that a HP-TDR may promote fat loss compared with a conventional isocaloric diet. These trials were registered at clinicaltrials.gov as NCT02811276 and NCT03565510.
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Affiliation(s)
- Camila L P Oliveira
- Human Nutrition Research Unit, Department of Agricultural, Food, & Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
- Alberta Diabetes Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Normand G Boulé
- Alberta Diabetes Institute, University of Alberta, Edmonton, Alberta, Canada
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada
| | - Arya M Sharma
- Division of Endocrinology & Metabolism, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Sarah A Elliott
- Human Nutrition Research Unit, Department of Agricultural, Food, & Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
- Alberta Research Centre for Health Evidence, University of Alberta, Edmonton, Alberta, Canada
| | - Mario Siervo
- School of Life Sciences, Division of Physiology, Pharmacology and Neuroscience, University of Nottingham, Nottingham, United Kingdom
| | - Sunita Ghosh
- Department of Medical Oncology, University of Alberta, Edmonton, Alberta, Canada
| | - Aloys Berg
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Carla M Prado
- Human Nutrition Research Unit, Department of Agricultural, Food, & Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
- Alberta Diabetes Institute, University of Alberta, Edmonton, Alberta, Canada
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Ard JD, Lewis KH, Cohen SS, Rothberg AE, Coburn SL, Loper J, Matarese L, Pories WJ, Periman S. Differences in treatment response to a total diet replacement intervention versus a food-based intervention: A secondary analysis of the OPTIWIN trial. Obes Sci Pract 2020; 6:605-614. [PMID: 33354339 PMCID: PMC7746973 DOI: 10.1002/osp4.444] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 06/30/2020] [Accepted: 07/25/2020] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE For every weight loss treatment, there are usually groups of people who lose less than expected. This study sought to determine if response rates to a total diet replacement (TDR) differed from those of a calorie-restricted, food-based (FB) diet. METHODS Data from OPTIWIN, a 12-month multicenter trial in adults with a BMI of 30-55 kg/m2, with 26-week weight-loss and weight-maintenance phases, were utilized. Participants (n = 330) were randomized to the OPTIFAST programme (OP) or to a reduced-energy FB diet. Treatment non-responders were defined as those who lost <3% of initial weight at months 6 or 12. RESULTS There were 103 (76%) responders in the OP compared with 78 (57%) in the FB group at 12 months. The odds of treatment response at 12 months among participants who were non-responders at 3 months was not significantly different between the OP and FB groups (p = 0.64). Race, type 2 diabetes status and previous weight loss attempts were significantly associated with responder status. OP responders had higher meal plan adherence and non-caloric fluid intake compared with FB responders. CONCLUSION Early treatment response is more likely and better sustained with TDR compared with an FB diet. Individual and treatment level factors appear to influence early treatment response to behavioural interventions for weight reduction.
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Affiliation(s)
- Jamy D. Ard
- Department of Epidemiology and PreventionWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Kristina H. Lewis
- Department of Epidemiology and PreventionWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | | | - Amy E. Rothberg
- Department of Internal MedicineMichigan MedicineAnn ArborMichiganUSA
| | | | - Judy Loper
- The Central Ohio Nutrition Center, Inc.GahannaOhioUSA
| | - Laura Matarese
- Department of SurgeryEast Carolina University Brody School of MedicineGreenvilleNorth CarolinaUSA
| | - Walter J. Pories
- Department of SurgeryEast Carolina University Brody School of MedicineGreenvilleNorth CarolinaUSA
| | - Seletha Periman
- Nestlé Health Science, Global Research & DevelopmentBridgewaterNew JerseyUSA
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14
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Donofry SD, Stillman CM, Erickson KI. A review of the relationship between eating behavior, obesity and functional brain network organization. Soc Cogn Affect Neurosci 2020; 15:1157-1181. [PMID: 31680149 PMCID: PMC7657447 DOI: 10.1093/scan/nsz085] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 09/24/2019] [Accepted: 10/02/2019] [Indexed: 12/21/2022] Open
Abstract
Obesity is a major public health issue affecting nearly 40% of American adults and is associated with increased mortality and elevated risk for a number of physical and psychological illnesses. Obesity is associated with impairments in executive functions such as decision making and inhibitory control, as well as in reward valuation, which is thought to contribute to difficulty sustaining healthy lifestyle behaviors, including adhering to a healthy diet. Growing evidence indicates that these impairments are accompanied by disruptions in functional brain networks, particularly those that support self-regulation, reward valuation, self-directed thinking and homeostatic control. Weight-related differences in task-evoked and resting-state connectivity have most frequently been noted in the executive control network (ECN), salience network (SN) and default mode network (DMN), with obesity generally being associated with weakened connectivity in the ECN and enhanced connectivity in the SN and DMN. Similar disruptions have been observed in the much smaller literature examining the relationship between diet and disordered eating behaviors on functional network organization. The purpose of this narrative review was to summarize what is currently known about how obesity and eating behavior relate to functional brain networks, describe common patterns and provide recommendations for future research based on the identified gaps in knowledge.
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Affiliation(s)
- Shannon D Donofry
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, 15260, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, 15213, PA, USA
| | - Chelsea M Stillman
- Department of Psychology, University of Pittsburgh, Pittsburgh, 15213, PA, USA
| | - Kirk I Erickson
- Department of Psychology, University of Pittsburgh, Pittsburgh, 15213, PA, USA
- The Center for the Neural Basis of Cognition, Pittsburgh, 15213, PA, USA
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, Western Australia, 6150, Australia
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15
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Martín-Pérez C, Contreras-Rodríguez O, Verdejo-Román J, Vilar-López R, González-Pérez R, Verdejo-García A. Stressing diets? Amygdala networks, cumulative cortisol, and weight loss in adolescents with excess weight. Int J Obes (Lond) 2020; 44:2001-2010. [PMID: 32546861 DOI: 10.1038/s41366-020-0633-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Accepted: 06/03/2020] [Indexed: 11/09/2022]
Abstract
OBJECTIVE The amygdala is importantly involved in stress and obesity, but its role on weight change and diet-related stress remains unexplored among adolescents with excess weight. We aimed to examine the functional connectivity of the Central and Basolateral amygdala nuclei (CeA and BLA) among adolescents, and to explore the longitudinal association between brain connectivity measures and diet-related cortisol and weight loss in adolescents with excess weight. METHODS We compared resting-state functional connectivity between adolescents with excess (EW, N = 34; Age = 16.44 ± 1.66) and normal weight (NW, N = 36; Age = 16.50 ± 1.40) using a seed-based (CeA and BLA) whole-brain approach. Then, in a subset of 30 adolescents with EW, followed-up after 3-months of dietary/lifestyle intervention, we explored for interactions between connectivity in the CeA/BLA networks and weight loss. Regression analyses were performed to explore the relationship between accumulated cortisol and weight loss, and to test the potential effect of the amygdala networks on such association. RESULTS In EW compared with NW, the CeA regions showed higher functional connectivity with anterior portions, and lower connectivity with posterior portions of the cingulate cortex, while the left BLA regions showed lower connectivity with the dorsal caudate and angular gyrus. In addition, higher connectivity between the left CeA-midbrain network was negatively associated with weight loss. Hair cortisol significantly predicted weight change (p = 0.012). However, this association was no longer significant (p = 0.164) when considering the CeA-midbrain network in the model as an additional predictor. CONCLUSIONS Adolescents with EW showed functional connectivity alterations within the BLA/CeA networks. The CeA-midbrain network might constitute an important brain pathway regulating weight change.
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Affiliation(s)
| | - Oren Contreras-Rodríguez
- Psychiatry Department of the Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), and CIBERSAM G-17, Barcelona, Spain.
| | - Juan Verdejo-Román
- Mind, Brain and Behavior Research Center (CIMCYC), Granada, Spain.,Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology (CTB), Department of Experimental Psychology, Psychological Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain
| | | | - Raquel González-Pérez
- Department of Pharmacology, CIBERehd, School of Pharmacy, Instituto de Investigación Biosanitaria ibs.GRANADA, University of Granada, Granada, Spain
| | - Antonio Verdejo-García
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
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16
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Szabo‐Reed AN, Martin LE, Hu J, Yeh H, Powell J, Lepping RJ, Patrician TM, Breslin FJ, Donnelly JE, Savage CR. Modeling interactions between brain function, diet adherence behaviors, and weight loss success. Obes Sci Pract 2020; 6:282-292. [PMID: 32523717 PMCID: PMC7278911 DOI: 10.1002/osp4.403] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 01/06/2020] [Accepted: 01/07/2020] [Indexed: 01/02/2023] Open
Abstract
INTRODUCTION Obesity is linked to altered activation in reward and control brain circuitry; however, the associated brain activity related to successful or unsuccessful weight loss (WL) is unclear. METHODS Adults with obesity (N = 75) completed a baseline functional magnetic resonance imaging (fMRI) scan before entering a WL intervention (ie,3-month diet and physical activity [PA] program). We conducted an exploratory analysis to identify the contributions of baseline brain activation, adherence behavior patterns, and the associated connections to WL at the conclusion of a 3-month WL intervention. Food cue-reactivity brain regions were functionally identified using fMRI to index brain activation to food vs nonfood cues. Food consumption, PA, and class attendance were collected weekly during the 3-month intervention. RESULTS The left middle frontal gyrus (L-MFG, BA 46) and right middle frontal gyrus (R-MFG; BA 9) were positively activated when viewing food compared with nonfood images. Structural equation modeling with bootstrapping was used to investigate a hypothesized path model and revealed the following significant paths: (1) attendance to 3-month WL, (2) R-MFG to attendance, and (3) indirect effects of R-MFG through attendance on WL. CONCLUSION Findings suggest that brain activation to appetitive food cues predicts future WL through mediating session attendance, diet, and PA. This study contributes to the growing evidence of the importance of food cue reactivity and self-regulation brain regions and their impact on WL outcomes.
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Affiliation(s)
- Amanda N. Szabo‐Reed
- Department of Internal MedicineUniversity of Kansas Medical CenterKansas CityKansas
| | - Laura E. Martin
- Department of Population Health HealthUniversity of Kansas Medical CenterKansas CityKansas
- Hoglund Brain Imaging CenterUniversity of Kansas Medical CenterKansas CityKansas
| | - Jinxiang Hu
- Department of BiostatisticsUniversity of Kansas Medical CenterKansas CityKansas
| | - Hung‐Wen Yeh
- Department of BiostatisticsUniversity of Kansas Medical CenterKansas CityKansas
| | - Joshua Powell
- Graduate School of Social WorkUniversity of DenverDenverColorado
| | - Rebecca J. Lepping
- Hoglund Brain Imaging CenterUniversity of Kansas Medical CenterKansas CityKansas
| | - Trisha M. Patrician
- Department of BiostatisticsUniversity of Kansas Medical CenterKansas CityKansas
| | - Florance J. Breslin
- Center for Brain, Biology and BehaviorUniversity of Nebraska‐LincolnLincolnNebraska
| | - Joseph E. Donnelly
- Department of Internal MedicineUniversity of Kansas Medical CenterKansas CityKansas
| | - Cary R. Savage
- Department of BiostatisticsUniversity of Kansas Medical CenterKansas CityKansas
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Akter S, Dawson JA, Kahathuduwa CN, Chin S, Binks M. Psychological and weight history variables as predictors of short-term weight and body fat mass loss. Obes Sci Pract 2020; 6:152-161. [PMID: 32313673 PMCID: PMC7156839 DOI: 10.1002/osp4.394] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 11/15/2019] [Accepted: 11/16/2019] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE Identifying predictors of early weight loss may have value in predicting longer-term success in weight loss programmes. This study examined if weight history variables (ie, weight cycling history [WCH], age of onset of obesity [AOO]), and preintervention Three-Factor Eating Questionnaire (TFEQ) and Power of Food Scale (PFS) scores predicted weight loss (WL) and fat mass loss (FML) following a 3-week calorie restriction intervention. METHODS Thirty-two participants (19-60 y; body mass index [BMI] 30-39.9 kg/m2) participated in a 3-week calorie restriction intervention (1120 kcal/d) as part of a larger clinical trial with 28 completers included in the current analyses. Preintervention WCH, AOO, TFEQ, and PFS subscale scores were collected, and WL and FML were measured. Multiple linear regression analyses were performed to predict WL and FML for relevant covariates in this study. RESULTS WCH, AOO, preintervention TFEQ subscale scores, and PFS subscale scores did not predict WL (all Ps > .08) or FML (Ps > .06) except, PFS-food tasted scores significantly predicted WL (r = -0.40, P = .03). CONCLUSION Although these variables were not robust predictors, results for at least the PFS suggest there may be value in further exploring this measure using larger sample sizes.
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Affiliation(s)
- Sharmin Akter
- Department of Nutritional SciencesTexas Tech UniversityLubbockTexas
| | - John A. Dawson
- Department of Nutritional SciencesTexas Tech UniversityLubbockTexas
| | - Chanaka N. Kahathuduwa
- Physician Assistant Program MidlandTexas Tech University Health Sciences CenterLubbockTexas
| | - Shao‐Hua Chin
- Department of Nutritional SciencesTexas Tech UniversityLubbockTexas
| | - Martin Binks
- Department of Nutritional SciencesTexas Tech UniversityLubbockTexas
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Davis T, LaCour M, Beyer E, Finck JL, Miller MF. Neural correlates of attitudes and risk perception for food technology topics. Food Qual Prefer 2020. [DOI: 10.1016/j.foodqual.2019.103836] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Roura‐Martínez D, Ucha M, Orihuel J, Ballesteros‐Yáñez I, Castillo CA, Marcos A, Ambrosio E, Higuera‐Matas A. Central nucleus of the amygdala as a common substrate of the incubation of drug and natural reinforcer seeking. Addict Biol 2020; 25:e12706. [PMID: 30623520 DOI: 10.1111/adb.12706] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 10/26/2018] [Accepted: 11/19/2018] [Indexed: 01/04/2023]
Abstract
Relapse into drug use is a major problem faced by recovering addicts. In humans, an intensification of the desire for the drug induced by environmental cues-incubation of drug craving-has been observed. In rodents, this phenomenon has been modeled by studying drug seeking under extinction after different times of drug withdrawal (or using a natural reinforcer). Although much progress has been made, an integrated approach simultaneously studying different drug classes and natural reward and examining different brain regions is lacking. Lewis rats were used to study the effects of cocaine, heroin, and sucrose seeking incubation on six key brain regions: the nucleus accumbens shell/core, central/basolateral amygdala, and dorsomedial/ventromedial prefrontal cortex. We analyzed PSD95 and gephyrin protein levels, gene expression of glutamatergic, GABAergic and endocannabinoid elements, and amino acid transmitter levels. The relationships between the areas studied were examined by Structural Equation Modelling. Pathways from medial prefrontal cortex and basolateral complex of the amygdala to central nucleus of the amygdala, but not to the nucleus accumbens, were identified as common elements involved in the incubation phenomenon for different substances. These results suggest a key role for the central nucleus of amygdala and its cortical and amygdalar afferences in the incubation phenomenon, and we suggest that by virtue of its regulatory effects on glutamatergic and GABAergic dynamics within amygdalar circuits, the endocannabinoid system might be a potential target to develop medications that are effective in the context of relapse.
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Affiliation(s)
| | - Marcos Ucha
- Department of PsychobiologySchool of Psychology, UNED Madrid Spain
| | - Javier Orihuel
- Department of PsychobiologySchool of Psychology, UNED Madrid Spain
| | | | - Carlos Alberto Castillo
- School of Occupational TherapySpeech Therapy and Nursing, University of Castilla‐La Mancha Talavera de la Reina Spain
| | - Alberto Marcos
- Department of PsychobiologySchool of Psychology, UNED Madrid Spain
| | - Emilio Ambrosio
- Department of PsychobiologySchool of Psychology, UNED Madrid Spain
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Meal replacement in isolated and confined mission environments: Consumption, acceptability, and implications for physical and behavioral health. Physiol Behav 2020; 219:112829. [PMID: 32068108 DOI: 10.1016/j.physbeh.2020.112829] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 01/24/2020] [Accepted: 02/07/2020] [Indexed: 12/30/2022]
Abstract
Strategies that reduce food system mass without negatively impacting food intake, acceptability, and resulting astronaut health and performance are essential for mission success in extreme operational environments such as space exploration. Here, we report the impact of substituting the spaceflight standard breakfast with energy equivalent, calorically-dense meal replacement bars (MRBs) on consumption, acceptability, and satiety and on associations with physical and behavioral health outcomes in high-performing subjects completing 30-day missions in the isolated and confined operational environment of NASA's Human Exploration Research Analog (HERA) habitat. MRB implementation was associated with reduced daily caloric intake, weight loss, and decrements in mood and neurobehavioral functioning, with no significant impacts on somatic symptoms and physical functioning. Food acceptability ratings suggest that flavor, texture, and menu fatigue attributed to limited variety are contributing factors, which are exacerbated by a daily implementation schedule. Meal replacement strategies for short-duration missions are operationally feasible, moderately acceptable, and can contribute to the practical goal of mass reduction, but more work is needed to define and optimize flavors, variety, and implementation schedules that sustain adequate nutrition, physical and behavioral health, and operational performance over time in isolated, confined, and extreme mission environments.
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Anguah KOB, Syed-Abdul MM, Hu Q, Jacome-Sosa M, Heimowitz C, Cox V, Parks EJ. Changes in Food Cravings and Eating Behavior after a Dietary Carbohydrate Restriction Intervention Trial. Nutrients 2019; 12:nu12010052. [PMID: 31878131 PMCID: PMC7019570 DOI: 10.3390/nu12010052] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 12/16/2019] [Accepted: 12/19/2019] [Indexed: 12/20/2022] Open
Abstract
Compared to low-fat diets, low-carbohydrate (CHO) diets cause weight loss (WL) over a faster time frame; however, it is unknown how changes in food cravings and eating behavior contribute to this more rapid WL in the early phases of dieting. We hypothesized that reductions in food cravings and improved eating behaviors would be evident even after a relatively short (4-week) duration of CHO-restriction, and that these changes would be associated with WL. Adult participants (n = 19, 53% males, mean ± SD: BMI = 34.1 ± 0.8 kg/m2; age 40.6 ± 1.9 years) consumed a CHO-restricted diet (14% CHO, 58% fat, 28% protein) for 4 weeks. Before and after the intervention, specific and total cravings were measured with the Food Craving Inventory (FCI) and eating behaviors assessed with the Three-Factor Eating questionnaire. Food cravings were significantly reduced at week 4, while women had significantly greater reductions in sweet cravings than men. Dietary restraint was significantly increased by 102%, while disinhibiton and hunger scores were reduced (17% and 22%, respectively, p < 0.05). Changes in cravings were unrelated to changes in body weight except for the change in high-fat cravings where those who lost the most weight experienced the least reductions in fat cravings (r = −0.458, p = 0.049). Changes in dietary restraint were inversely related to several FCI subscales. A short-term, low-CHO diet was effective in reducing food cravings. These data suggest that in subjects that have successfully lost weight on a low-CHO diet, those who craved high-fat foods at the onset were able to satisfy their cravings—potentially due to the high-fat nature of this restricted diet.
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Affiliation(s)
- Katherene O.-B. Anguah
- Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, MO 65211, USA; (M.M.S.-A.); (Q.H.); (E.J.P.)
- Correspondence: ; Tel.: +1-573-882-8966
| | - Majid M. Syed-Abdul
- Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, MO 65211, USA; (M.M.S.-A.); (Q.H.); (E.J.P.)
| | - Qiong Hu
- Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, MO 65211, USA; (M.M.S.-A.); (Q.H.); (E.J.P.)
- Department of Child Health, School of Medicine, University of Missouri, Columbia, MO 65212, USA
| | - Miriam Jacome-Sosa
- Department of Internal Medicine, Division of Nutritional Science, Washington University School of Medicine, St. Louis, MO 63110, USA;
| | | | - Vicki Cox
- Department of Nutrition, West Chester University, West Chester, PA 19383, USA;
| | - Elizabeth J. Parks
- Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, MO 65211, USA; (M.M.S.-A.); (Q.H.); (E.J.P.)
- Department of Child Health, School of Medicine, University of Missouri, Columbia, MO 65212, USA
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Armborst D, Metzner C, Bitterlich N, Lemperle M, Siener R. Effect of a weight-loss stabilization following a weight reduction with or without meal replacement on cardiometabolic risk in overweight women. A randomized controlled trial. Int J Food Sci Nutr 2019; 70:453-466. [PMID: 30621476 DOI: 10.1080/09637486.2018.1537363] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
The objective of this study was to examine the effect of a 3-month weight-loss-stabilization phase (phase 2) following a successful 3-month weight-loss phase (phase 1), including a conventional energy-restricted diet with (MR) or without (C) meal replacement, on the cardiometabolic risk profile in 80 overweight women. In phase 2, both groups continued to significantly reduce weight and sustained the significant decreases in waist circumference and LDL-C. During the study, folic acid concentration significantly increased in the MR-group, while homocysteine concentration significantly worsened in the C-group. After 6 months, the number of women with hypertriglyceridemic waist was significantly reduced in both the groups, however with metabolic syndrome and metabolically unhealthy abdominal obesity (MUHAO) only in the MR-group. In conclusion, both strategies were equally effective for weight loss and weight-loss stabilization. The micronutrient supplementation with MR seemed to have an additional beneficial impact on the cardiometabolic risk in the MR-group versus the C-group.
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Affiliation(s)
- Deborah Armborst
- a Department of Urology , Medical Nutrition Science, University of Bonn , Bonn , Germany
| | - Christine Metzner
- b Department of Internal Medicine III , University Hospital, RWTH , Aachen , Germany.,c Bonn Education Association for Dietetics r. A , Cologne , Germany
| | - Norman Bitterlich
- d Department of Biostatistics , Medicine and Service Ltd , Chemnitz , Germany
| | - Martin Lemperle
- e Outpatient Center for Nutrition Education , Frankfurt/Main , Germany
| | - Roswitha Siener
- a Department of Urology , Medical Nutrition Science, University of Bonn , Bonn , Germany
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23
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Ard JD, Lewis KH, Rothberg A, Auriemma A, Coburn SL, Cohen SS, Loper J, Matarese L, Pories WJ, Periman S. Effectiveness of a Total Meal Replacement Program (OPTIFAST Program) on Weight Loss: Results from the OPTIWIN Study. Obesity (Silver Spring) 2019; 27:22-29. [PMID: 30421863 PMCID: PMC6587830 DOI: 10.1002/oby.22303] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/01/2018] [Accepted: 08/03/2018] [Indexed: 11/29/2022]
Abstract
OBJECTIVE The aim of this study was to test the effectiveness of the OPTIFAST program (OP), a total meal replacement dietary intervention, compared with a food-based (FB) dietary plan for weight loss. METHODS Participants with BMI 30 to 55 kg/m2 , age 18 to 70 years old, were randomized to OP or FB dietary and lifestyle interventions for 26 weeks, followed by a weight-maintenance phase. Outcomes were percent change in body weight (%WL) from baseline to weeks 26 and 52, associated changes in body composition (using dual energy x-ray absorptiometry), and adverse events. Primary analysis used repeated-measures multivariable linear mixed models to compare outcomes between groups in a modified intention-to-treat fashion (mITT). RESULTS A total of 273 participants (83% of randomized; 135 OP, 138 FB) made up the mITT population. Mean age was 47.1 ± 11.2 years; 82% were female and 71% non-Hispanic white. Baseline BMI was 38.8 ± 5.9 kg/m2 . At 26 weeks, OP %WL was 12.4% ± 0.6% versus 6.0% ± 0.6% in FB (P < 0.001). At 52 weeks, OP %WL was 10.5% ± 0.6% versus 5.5% ± 0.6% in FB (P < 0.001). Fat mass loss was greater for OP; lean mass loss was proportional to total weight loss. There was no difference in serious adverse event rates between groups. CONCLUSIONS Compared with an FB approach, OP was more effective with greater sustained weight loss.
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Affiliation(s)
- Jamy D. Ard
- Department of Epidemiology and Prevention, Wake Forest School of MedicineWinston SalemNorth CarolinaUSA
| | - Kristina H. Lewis
- Department of Epidemiology and Prevention, Wake Forest School of MedicineWinston SalemNorth CarolinaUSA
| | - Amy Rothberg
- Department of Internal MedicineUniversity of Michigan Health SystemAnn ArborMichiganUSA
| | - Anthony Auriemma
- AMITA Health, Alexian Brothers Weight Loss SolutionsElk Grove VillageIllinoisUSA
| | | | | | - Judy Loper
- The Central Ohio Nutrition Center, Inc.GahannaOhioUSA
| | - Laura Matarese
- Department of SurgeryEast Carolina University Brody School of MedicineGreenvilleNorth CarolinaUSA
| | - Walter J. Pories
- Department of SurgeryEast Carolina University Brody School of MedicineGreenvilleNorth CarolinaUSA
| | - Seletha Periman
- Nestlé Health Science, U.S. Clinical OperationsBridgewaterNew JerseyUSA
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Weygandt M, Spranger J, Leupelt V, Maurer L, Bobbert T, Mai K, Haynes JD. Interactions between neural decision-making circuits predict long-term dietary treatment success in obesity. Neuroimage 2018; 184:520-534. [PMID: 30253206 DOI: 10.1016/j.neuroimage.2018.09.058] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 09/17/2018] [Accepted: 09/20/2018] [Indexed: 12/25/2022] Open
Abstract
Although dietary decision-making is regulated by multiple interacting neural controllers, their impact on dietary treatment success in obesity has only been investigated individually. Here, we used fMRI to test how well interactions between the Pavlovian system (automatically triggering urges of consumption after food cue exposure) and the goal-directed system (considering long-term consequences of food decisions) predict future dietary success achieved in 39 months. Activity of the Pavlovian system was measured with a cue-reactivity task by comparing perception of food versus control pictures, activity of the goal-directed system with a food-specific delay discounting paradigm. Both tasks were applied in 30 individuals with obesity up to five times: Before a 12-week diet, immediately thereafter, and at three annual follow-up visits. Brain activity was analyzed in two steps. In the first, we searched for areas involved in Pavlovian processes and goal-directed control across the 39-month study period with voxel-wise linear mixed-effects (LME) analyses. In the second, we computed network parameters reflecting the covariation of longitudinal voxel activity (i.e. principal components) in the regions identified in the first step and used them to predict body mass changes across the 39 months with LME models. Network analyses testing the link of dietary success with activity of the individual systems as reference found a moderate negative link to Pavlovian activity primarily in left hippocampus and a moderate positive association to goal-directed activity primarily in right inferior parietal gyrus. A cross-paradigm network analysis that integrated activity measured in both tasks revealed a strong positive link for interactions between visual Pavlovian areas and goal-directed decision-making regions mainly located in right insular cortex. We conclude that adaptation of food cue processing resources to goal-directed control activity is an important prerequisite of sustained dietary weight loss, presumably since the latter activity can modulate Pavlovian urges triggered by frequent cue exposure in everyday life.
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Affiliation(s)
- Martin Weygandt
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Excellence Cluster NeuroCure, 10117, Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin Center for Advanced Neuroimaging, Department of Neurology, 10117 Berlin, Germany.
| | - Joachim Spranger
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Experimental and Clinical Research Center, 10117, Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité Center for Cardiovascular Research, 10117, Berlin, Germany
| | - Verena Leupelt
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité Center for Cardiovascular Research, 10117, Berlin, Germany
| | - Lukas Maurer
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité Center for Cardiovascular Research, 10117, Berlin, Germany
| | - Thomas Bobbert
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany
| | - Knut Mai
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Experimental and Clinical Research Center, 10117, Berlin, Germany
| | - John-Dylan Haynes
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Excellence Cluster NeuroCure, 10117, Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin Center for Advanced Neuroimaging, Department of Neurology, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Bernstein Center for Computational Neuroscience, 10117, Berlin, Germany
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25
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Effect of A Very Low-Calorie Ketogenic Diet on Food and Alcohol Cravings, Physical and Sexual Activity, Sleep Disturbances, and Quality of Life in Obese Patients. Nutrients 2018; 10:nu10101348. [PMID: 30241426 PMCID: PMC6213862 DOI: 10.3390/nu10101348] [Citation(s) in RCA: 93] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Revised: 09/14/2018] [Accepted: 09/18/2018] [Indexed: 12/18/2022] Open
Abstract
Psychological well-being and hunger and food control are two relevant factors involved in the success of weight-loss therapy in treating obesity. Thus, this study aims to evaluate food and alcohol cravings, physical and sexual activity, sleep, and life quality (QoL) in obese patients following a very low-calorie ketogenic (VLCK) diet, as well as the role of weight lost and ketosis on these parameters. A battery of psychological test was performed in twenty obese patients (12 females, 47.2 ± 10.2 year and BMI of 35.5 ± 4.4) through the course of a 4-month VLCK diet on four subsequent visits: baseline, maximum ketosis, reduced ketosis, and endpoint. Each subject acted as their own control. Relevantly, the dietary-induced changes in body composition (7.7 units of BMI lost, 18 kg of fat mass (1.2 kg of visceral fat mass)) were associated with a statistically significant improvement in food craving scores, physical activity, sleepiness, and female sexual function. Overall, these results also translated in a notable enhancement in QoL of the treated obese patients. Therefore, the rapid and sustained weight and fat mass (FM) loss induced by the VLCK diet is associated with good food control and improvements in the psychological well-being parameters in obese subjects, which could contribute to the long-term success of this therapy.
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26
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Kiortsis DN, Spyridonos P, Margariti PN, Xydis V, Alexiou G, Astrakas LG, Argyropoulou MI. Brain activation during repeated imagining of chocolate consumption: a functional magnetic resonance imaging study. Hormones (Athens) 2018; 17:367-371. [PMID: 30105568 DOI: 10.1007/s42000-018-0053-1] [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: 07/23/2018] [Accepted: 07/31/2018] [Indexed: 10/28/2022]
Abstract
OBJECTIVE To assess brain activation during mental visualization of eating chocolate. DESIGN Twenty-one subjects were included. FMRI was acquired with a single-shot, multislice, gradient echo-planar sequence, while subjects were performing two specific imaginary tasks. RESULTS Activation of motor-associated brain areas was observed during both mental visualization tasks. Increased activation of the right dorsolateral prefrontal cortex, the thalamus, the postcentral gyrus and the left anterior cingulate cortex, and the precuneus was observed during imagining eating chocolate. CONCLUSIONS Repeated imagination of chocolate consumption results in activation of brain areas associated with hedonic effects of food and satiety and inhibition of orexigenic areas.
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Affiliation(s)
- Dimitrios N Kiortsis
- Department of Nuclear Medicine, Medical School, University of Ioannina, Ioannina, Greece
| | - Panagiota Spyridonos
- Department of Medical Physics, Medical School, University of Ioannina, Ioannina, Greece
| | | | - Vassileios Xydis
- Department of Radiology, Medical School, University of Ioannina, Ioannina, Greece
| | - George Alexiou
- Department of Neurosurgery, Medical School, University of Ioannina, PO BOX 103, Neohoropoulo, 45500, Ioannina, Greece.
| | - Loukas G Astrakas
- Department of Medical Physics, Medical School, University of Ioannina, Ioannina, Greece
| | - Maria I Argyropoulou
- Department of Radiology, Medical School, University of Ioannina, Ioannina, Greece
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Kahathuduwa CN, Davis T, O'Boyle M, Binks M. Do scores on the Food Craving Inventory and Three-Factor Eating Questionnaire correlate with expected brain regions of interest in people with obesity? Physiol Behav 2018; 188:1-10. [DOI: 10.1016/j.physbeh.2018.01.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Revised: 11/24/2017] [Accepted: 01/22/2018] [Indexed: 10/18/2022]
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Sun KL, Watson KT, Angal S, Bakkila BF, Gorelik AJ, Leslie SM, Rasgon NL, Singh MK. Neural and Endocrine Correlates of Early Life Abuse in Youth With Depression and Obesity. Front Psychiatry 2018; 9:721. [PMID: 30622489 PMCID: PMC6308296 DOI: 10.3389/fpsyt.2018.00721] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 12/07/2018] [Indexed: 12/04/2022] Open
Abstract
Depression and insulin resistance are becoming increasingly prevalent in younger populations. The origin and consequence of insulin resistance in depressed youth may, in part, be rooted in exposure to environmental stressors, such as early life abuse, that may lead to aberrant brain motivational networks mediating maladaptive food-seeking behaviors and insipient insulin resistance. In this paper, we aimed to investigate the impact of early life abuse on the development of insulin resistance in depressed and overweight youth aged 9 to 17 years. We hypothesized that youth with the greatest burden of early life abuse would have the highest levels of insulin resistance and corresponding aberrant reward network connectivities. To test this hypothesis, we evaluated sixty-nine depressed and overweight youth aged 9 to 17, using multimodal assessments of early life abuse, food-seeking behavior, and insulin resistance. Based on results of the Childhood Trauma Questionnaire (CTQ), we separated our study participants into two groups: 35 youth who reported high levels of the sum of emotional, physical, or sexual abuse and 34 youth who reported insignificant or no levels of any abuse. Results of an oral glucose tolerance test (OGTT) and resting state functional connectivity (RSFC), using the amygdala, insula, and nucleus accumbens (NAcc) as seed-based reward network regions of interest, were analyzed for group differences between high abuse and low abuse groups. High abuse youth exhibited differences from low abuse youth in amygdala-precuneus, NAcc-paracingulate gyrus, and NAcc-prefrontal cortex connectivities, that correlated with levels of abuse experienced. The more different their connectivity from of that of low abuse youth, the higher were their fasting glucose and glucose at OGTT endpoint. Importantly, level of abuse moderated the relation between reward network connectivity and OGTT glucose response. In contrast, low abuse youth showed hyperinsulinemia and more insulin resistance than high abuse youth, and their higher OGTT insulin areas under the curve correlated with more negative insula-precuneus connectivity. Our findings suggest distinct neural and endocrine profiles of youth with depression and obesity based on their histories of early life abuse.
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Affiliation(s)
- Kevin L Sun
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Kathleen T Watson
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Sarthak Angal
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Baylee F Bakkila
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Aaron J Gorelik
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Sara M Leslie
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Natalie L Rasgon
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Manpreet K Singh
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
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