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Effect of a Personalized Diet to Reduce Postprandial Glycemic Response vs a Low-fat Diet on Weight Loss in Adults With Abnormal Glucose Metabolism and Obesity: A Randomized Clinical Trial.
Popp, CJ, Hu, L, Kharmats, AY, Curran, M, Berube, L, Wang, C, Pompeii, ML, Illiano, P, St-Jules, DE, Mottern, M, et al
JAMA network open. 2022;5(9):e2233760
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Postprandial glycaemic response (PPGR) to foods can be different from person to person. This could be the reason why people experience different weight loss outcomes with standardised diets such as a low glycaemic index diet, low-fat diet or a low carbohydrate diet. In this single-centre, population-based, randomised, blinded clinical trial, 204 participants with irregular glucose metabolism and obesity were randomised to consume either a low-fat or personalised diet for six months in combination with fourteen behavioural change counselling sessions. The participants in the personalised diet group received a colour-coded meal score to indicate their estimated PPGR for different foods. The results of this study showed no significant weight reduction in the personalised diet group compared to the low-fat diet. Further robust studies are required to develop appropriate precision nutrition interventions for weight loss and energy balance. However, healthcare professionals can use the results of this study to understand that both a low-fat diet and a personalised diet, coupled with behavioural counselling, may be effective in promoting weight loss in obese populations with irregular glucose metabolism.
Abstract
IMPORTANCE Interindividual variability in postprandial glycemic response (PPGR) to the same foods may explain why low glycemic index or load and low-carbohydrate diet interventions have mixed weight loss outcomes. A precision nutrition approach that estimates personalized PPGR to specific foods may be more efficacious for weight loss. OBJECTIVE To compare a standardized low-fat vs a personalized diet regarding percentage of weight loss in adults with abnormal glucose metabolism and obesity. DESIGN, SETTING, AND PARTICIPANTS The Personal Diet Study was a single-center, population-based, 6-month randomized clinical trial with measurements at baseline (0 months) and 3 and 6 months conducted from February 12, 2018, to October 28, 2021. A total of 269 adults aged 18 to 80 years with a body mass index (calculated as weight in kilograms divided by height in meters squared) ranging from 27 to 50 and a hemoglobin A1c level ranging from 5.7% to 8.0% were recruited. Individuals were excluded if receiving medications other than metformin or with evidence of kidney disease, assessed as an estimated glomerular filtration rate of less than 60 mL/min/1.73 m2 using the Chronic Kidney Disease Epidemiology Collaboration equation, to avoid recruiting patients with advanced type 2 diabetes. INTERVENTIONS Participants were randomized to either a low-fat diet (<25% of energy intake; standardized group) or a personalized diet that estimates PPGR to foods using a machine learning algorithm (personalized group). Participants in both groups received a total of 14 behavioral counseling sessions and self-monitored dietary intake. In addition, the participants in the personalized group received color-coded meal scores on estimated PPGR delivered via a mobile app. MAIN OUTCOMES AND MEASURES The primary outcome was the percentage of weight loss from baseline to 6 months. Secondary outcomes included changes in body composition (fat mass, fat-free mass, and percentage of body weight), resting energy expenditure, and adaptive thermogenesis. Data were collected at baseline and 3 and 6 months. Analysis was based on intention to treat using linear mixed modeling. RESULTS Of a total of 204 adults randomized, 199 (102 in the personalized group vs 97 in the standardized group) contributed data (mean [SD] age, 58 [11] years; 133 women [66.8%]; mean [SD] body mass index, 33.9 [4.8]). Weight change at 6 months was -4.31% (95% CI, -5.37% to -3.24%) for the standardized group and -3.26% (95% CI, -4.25% to -2.26%) for the personalized group, which was not significantly different (difference between groups, 1.05% [95% CI, -0.40% to 2.50%]; P = .16). There were no between-group differences in body composition and adaptive thermogenesis; however, the change in resting energy expenditure was significantly greater in the standardized group from 0 to 6 months (difference between groups, 92.3 [95% CI, 0.9-183.8] kcal/d; P = .05). CONCLUSIONS AND RELEVANCE A personalized diet targeting a reduction in PPGR did not result in greater weight loss compared with a low-fat diet at 6 months. Future studies should assess methods of increasing dietary self-monitoring adherence and intervention exposure. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03336411.
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Calorie restriction improves metabolic state independently of gut microbiome composition: a randomized dietary intervention trial.
Sowah, SA, Milanese, A, Schübel, R, Wirbel, J, Kartal, E, Johnson, TS, Hirche, F, Grafetstätter, M, Nonnenmacher, T, Kirsten, R, et al
Genome medicine. 2022;14(1):30
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Obesity is an important risk factor for chronic diseases. Aside from well-established mechanisms such as obesity-induced inflammation, alterations in sugar and lipid metabolism, and steroid hormone signalling, imbalances in the composition of the gut microbiome have also been linked to the progression of obesity and its cardio-metabolic sequelae. The aim of this study was to investigate whether intermittent calorie restriction (ICR) (operationalised as the 5:2 diet) or continuous calorie restriction (CCR) induced alterations in the gut microbiome, and to which extent these were associated with overall weight loss irrespective of the dietary intervention in overweight or obese adults. This study was conducted using data and samples of the HELENA trial which was a parallel-arm randomised controlled trial. Participants were randomly assigned to one of three groups, i.e., an ICR (n = 49), a CCR (n = 49), or a control group (n = 52) over a 50-week period in a 1:1:1 ratio. Results showed that the type of calorie restriction or the amount of weight lost were not accompanied by substantial and consistent shifts in gut microbiome composition or the abundance of individual bacterial taxa. Authors conclude that moderate ICR or CCR interventions as well as an overall moderate weight loss induced by calorie restriction (irrespective of which form) may not be associated with significant changes in the gut microbiome of overweight and obese adults, notwithstanding observed metabolic improvements.
Abstract
BACKGROUND The gut microbiota has been suggested to play a significant role in the development of overweight and obesity. However, the effects of calorie restriction on gut microbiota of overweight and obese adults, especially over longer durations, are largely unexplored. METHODS Here, we longitudinally analyzed the effects of intermittent calorie restriction (ICR) operationalized as the 5:2 diet versus continuous calorie restriction (CCR) on fecal microbiota of 147 overweight or obese adults in a 50-week parallel-arm randomized controlled trial, the HELENA Trial. The primary outcome of the trial was the differential effects of ICR versus CCR on gene expression in subcutaneous adipose tissue. Changes in the gut microbiome, which are the focus of this publication, were defined as exploratory endpoint of the trial. The trial comprised a 12-week intervention period, a 12-week maintenance period, and a final follow-up period of 26 weeks. RESULTS Both diets resulted in ~5% weight loss. However, except for Lactobacillales being enriched after ICR, post-intervention microbiome composition did not significantly differ between groups. Overall weight loss was associated with significant metabolic improvements, but not with changes in the gut microbiome. Nonetheless, the abundance of the Dorea genus at baseline was moderately predictive of subsequent weight loss (AUROC of 0.74 for distinguishing the highest versus lowest weight loss quartiles). Despite the lack of consistent intervention effects on microbiome composition, significant study group-independent co-variation between gut bacterial families and metabolic biomarkers, anthropometric measures, and dietary composition was detectable. Our analysis in particular revealed associations between insulin sensitivity (HOMA-IR) and Akkermansiaceae, Christensenellaceae, and Tanerellaceae. It also suggests the possibility of a beneficial modulation of the latter two intestinal taxa by a diet high in vegetables and fiber, and low in processed meat. CONCLUSIONS Overall, our results suggest that the gut microbiome remains stable and highly individual-specific under dietary calorie restriction. TRIAL REGISTRATION The trial, including the present microbiome component, was prospectively registered at ClinicalTrials.gov NCT02449148 on May 20, 2015.
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A high-carbohydrate diet lowers the rate of adipose tissue mitochondrial respiration.
Bikman, BT, Shimy, KJ, Apovian, CM, Yu, S, Saito, ER, Walton, CM, Ebbeling, CB, Ludwig, DS
European journal of clinical nutrition. 2022;76(9):1339-1342
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The hormone insulin plays a fundamental role in cellular nutrient signalling, including mitochondrial function. The aim of this study was to test the hypothesis that a high-carbohydrate diet would lower measures of mitochondrial respiration in adipose tissue, consistent with the carbohydrate-insulin model of obesity. This study is an ancillary study of the Framingham State Food Study, in which the primary outcome was total energy expenditure. Data of twenty-seven participants were included in this report. Results show that a high-carbohydrate diet lowers mitochondrial respiratory function. Authors conclude the study’s sample may not reflect mitochondrial activity in all body fat depots. Thus, further research is required in order to replicate the study’s findings, conduct quantitative energetic studies, examine generalizability to other populations and experimental conditions, and explore translation to the prevention and treatment of obesity.
Abstract
Adipocyte mitochondrial respiration may influence metabolic fuel partitioning into oxidation versus storage, with implications for whole-body energy expenditure. Although insulin has been shown to influence mitochondrial respiration, the effects of dietary macronutrient composition have not been well characterized. The aim of this exploratory study was to test the hypothesis that a high-carbohydrate diet lowers the oxygen flux of adipocyte mitochondria ex vivo. Among participants in a randomized-controlled weight-loss maintenance feeding trial, those consuming a high-carbohydrate diet (60% carbohydrate as a proportion of total energy, n = 10) had lower rates of maximal adipose tissue mitochondrial respiration than those consuming a moderate-carbohydrate diet (40%, n = 8, p = 0.039) or a low-carbohydrate diet (20%, n = 9, p = 0.005) after 10 to 15 weeks. This preliminary finding may provide a mechanism for postulated calorie-independent effects of dietary composition on energy expenditure and fat deposition, potentially through the actions of insulin on fuel partitioning.
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The Impact of COVID-19 Stay-At-Home Orders on Health Behaviors in Adults.
Flanagan, EW, Beyl, RA, Fearnbach, SN, Altazan, AD, Martin, CK, Redman, LM
Obesity (Silver Spring, Md.). 2021;29(2):438-445
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In response to the global outbreak of COVID-19, a wave of quarantine and stay-at-home mandates were issued to attenuate the rapid worldwide spread. The aim of this study was to quantify changes in habitual dietary behaviours, physical activity, sleep, sedentary behaviours, and mental health before and during the initial peak of the COVID-19 pandemic. This study is based on an anonymous survey via paid advertisements on the social media platform Facebook. A total of 7,753 completed the first COVID-19 question and were thus included in the analysis. Results indicate that: - declines in healthful eating behaviours were coincident with reductions in physical activity. These negative behaviours were characteristic of individuals reporting weight gain in response to the pandemic outbreak. - anxiety scores nearly doubled in response to the pandemic and 20% of the sample reported that symptoms were severe enough to interfere with daily routines. - home confinement led to shifts in daily work and household responsibilities which resulted in mental health declines alongside some positive and many negative changes to health behaviours. Authors conclude that with increased cases of weight gain and significant declines to mental health, COVID-19 may impact clinical practice for years to come.
Abstract
OBJECTIVE Stay-at-home orders in response to the coronavirus disease 2019 (COVID-19) pandemic have forced abrupt changes to daily routines. This study assessed lifestyle changes across different BMI classifications in response to the global pandemic. METHODS The online survey targeting adults was distributed in April 2020 and collected information on dietary behaviors, physical activity, and mental health. All questions were presented as "before" and "since" the COVID-19 pandemic. RESULTS In total, 7,753 participants were included; 32.2% of the sample were individuals with normal weight, 32.1% had overweight, and 34.0% had obesity. During the pandemic, overall scores for healthy eating increased (P < 0.001), owing to less eating out and increased cooking (P < 0.001). Sedentary leisure behaviors increased, while time spent in physical activity (absolute time and intensity adjusted) declined (P < 0.001). Anxiety scores increased 8.78 ± 0.21 during the pandemic, and the magnitude of increase was significantly greater in people with obesity (P ≤ 0.01). Weight gain was reported in 27.5% of the total sample compared with 33.4% in participants with obesity. CONCLUSIONS The COVID-19 pandemic has produced significant health effects, well beyond the virus itself. Government mandates together with fear of contracting the virus have significantly impacted lifestyle behaviors alongside declines in mental health. These deleterious impacts have disproportionally affected individuals with obesity.
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A Single Bout of Premeal Resistance Exercise Improves Postprandial Glucose Metabolism in Obese Men with Prediabetes.
Bittel, AJ, Bittel, DC, Mittendorfer, B, Patterson, BW, Okunade, AL, Abumrad, NA, Reeds, DN, Cade, WT
Medicine and science in sports and exercise. 2021;53(4):694-703
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Prediabetes is a metabolic condition defined by elevated fasting (impaired fasting glucose) and/or postprandial (impaired glucose tolerance) plasma glucose. The aim of this study was to determine the effects of a single bout of resistance exercise on postprandial glucose metabolism following a mixed meal in obese, sedentary men with prediabetes. This study is a randomised, cross-over study design which enrolled ten participants. Participants were aged 39-62 years, obese, and demonstrated insulin resistance with compensatory increases in beta cell function. Results show that a single bout of resistance exercise performed 4.5 hours before a mixed meal (as opposed to an oral glucose tolerance test) reduced total postprandial glucose appearance, increased insulin sensitivity, and reduced the glycaemic response to a mixed meal. However, it did not have effect on glucose oxidation in obese men with prediabetes. Improvements in insulin sensitivity were complemented by reduced postprandial insulin concentration. Authors conclude that further investigation is needed to elucidate how resistance exercise affects exogenous (meal) vs endogenous postprandial glucose metabolism, and if additional bouts of exercise (i.e. training) produce superior outcomes for this population.
Abstract
INTRODUCTION Prediabetes is a major risk factor for type 2 diabetes and cardiovascular diseases. Although resistance exercise (RE) is recommended for individuals with prediabetes, the effects of RE on postprandial glucose metabolism in this population are poorly understood. Therefore, the purpose of this study was to elucidate how RE affects postprandial glucose kinetics, insulin sensitivity, beta cell function, and glucose oxidation during the subsequent meal in sedentary men with obesity and prediabetes. METHODS We studied 10 sedentary men with obesity (body mass index, 33 ± 3 kg·m-2) and prediabetes by using a randomized, cross-over study design. After an overnight fast, participants completed either a single bout of whole-body RE (seven exercises, 3 sets of 10-12 repetitions at 80% one-repetition maximum each) or an equivalent period of rest. Participants subsequently completed a mixed meal test in conjunction with an intravenous [6,6-2H2]glucose infusion to determine basal and postprandial glucose rate of appearance (Ra) and disappearance (Rd) from plasma, insulin sensitivity, and the insulinogenic index (a measure of beta cell function). Skeletal muscle biopsies were obtained 90 min postmeal to evaluate pyruvate-supported and maximal mitochondrial respiration. Whole-body carbohydrate oxidation was assessed using indirect calorimetry. RESULTS RE significantly reduced the postprandial rise in glucose Ra and plasma glucose concentration. Postprandial insulin sensitivity was significantly greater after RE, whereas postprandial plasma insulin concentration was significantly reduced. RE had no effect on the insulinogenic index, postprandial pyruvate respiration, or carbohydrate oxidation. CONCLUSION/INTERPRETATION A single bout of RE has beneficial effects on postprandial glucose metabolism in men with obesity and prediabetes by increasing postprandial insulin sensitivity, reducing the postprandial rise in glucose Ra, and reducing postprandial plasma insulin concentration.
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Effect of time restricted eating on body weight and fasting glucose in participants with obesity: results of a randomized, controlled, virtual clinical trial.
Peeke, PM, Greenway, FL, Billes, SK, Zhang, D, Fujioka, K
Nutrition & diabetes. 2021;11(1):6
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Time-restricted eating (TRE) has been identified as an effective method of losing weight in the face of rising obesity worldwide. Fasting for at least 12 hours has a beneficial effect on weight management and cardiometabolic health. Overnight fasting longer than 12 hours may result in fat-burning or ketosis. A high-fat, low-protein, low-carbohydrate snack during a 14-hour fast is believed not to raise blood sugar levels and helps with hunger management. This 8-week virtual, pilot, randomised, comparator-controlled clinical trial evaluated the benefits of following a commercial weight loss programme combined with TRE on body weight and fasting blood glucose (FBG) levels. The commercial weight loss programme included calculated calories and macronutrient content in their customised meal plans, as well as coaching and troubleshooting sessions. The participants were randomly assigned to 14-hour fasting (14:10) or 12-hour fasting (control). The 14:10 group also consumed 200 kcal of mixed nuts as a snack at hour 12 to determine the effect on blood glucose levels. After the intervention for 8 weeks, the 14:10 group showed a significant reduction in body weight (11kg) and FBG (8mg/dl), and the 12:12 group significantly lost 9kg of body weight and showed a non-significant reduction in FBG (3mg/dl). Participants with higher baseline FBG levels showed a greater reduction in FBG, indicating potential greater improvements in people with diabetes. A comparison of the two groups did not show a statistically significant difference in intervention effects. A fasting snack at 12 hours did not affect FBG in the 14:10 group, which may help adherence. Due to the exploratory nature of this study, larger robust studies are needed to assess the effectiveness of 14:10 and 12:12 time-restricted fasting regimens with commercial weight loss programmes. However, healthcare professionals can use the results of this study to understand the beneficial effects of different time-restricted fasting regimens on cardiometabolic health.
Abstract
BACKGROUND Time restricted eating (TRE) is an emerging dietary intervention for weight loss that is hypothesized to reinforce the metabolic benefits of nightly fasting/ketosis. This pilot study investigated the effectiveness of a daily 14-h metabolic fast (14:10 TRE beginning after dinner, a "fasting snack" at hour 12, and ending with breakfast 14 h later) combined with a commercial weight management program on body weight and fasting blood glucose (FBG) in individuals with obesity. We also investigated the effect of the low-calorie, high-fat, low-carbohydrate, and low-protein "fasting snack" on blood glucose. METHODS This 8-week, randomized, controlled, clinical trial included men and women (BMI ≥ 30 kg/m2) between June and October 2020. Study procedures were conducted remotely. Participants were randomized to 14:10 or 12-h TRE (12:12, active comparator) and prescribed a diet (controlled for calories and macronutrient composition) and exercise program that included weekly customized counseling and support. The primary outcome was change from baseline in body weight in the 14:10 group. RESULTS Of the 78 randomized participants, 60 (n = 30/group) completed 8 weeks. The LS mean change from baseline in weight in the 14:10 group was -8.5% (95% CI -9.6 to -7.4; P < 0.001) and -7.1% (-8.3 to -5.8; P < 0.001) in the 12:12 group (between group difference -1.4%; -2.7 to -0.2; P < 0.05). There was a statistically significant LS mean change from baseline to week 8 in FBG in the 14:10 group of -7.6 mg/dl (95% CI -15.1 to -0.1; P < 0.05) but not in the 12:12 group (-3.1 mg/dl, -10.0 to 3.7; P = NS). Both interventions resulted in a larger reduction in FBG in participants with elevated FBG (≥100 mg/dl) at baseline (both P < 0.05). CONCLUSIONS In participants with obesity who completed 8 weeks of the 14:10 TRE schedule combined with a commercial weight loss program, there was statistically significant and clinically meaningful weight loss and improvements in FBG.
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Effect of a Low-Fat Vegan Diet on Body Weight, Insulin Sensitivity, Postprandial Metabolism, and Intramyocellular and Hepatocellular Lipid Levels in Overweight Adults: A Randomized Clinical Trial.
Kahleova, H, Petersen, KF, Shulman, GI, Alwarith, J, Rembert, E, Tura, A, Hill, M, Holubkov, R, Barnard, ND
JAMA network open. 2020;3(11):e2025454
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Obesity is uncommon in individuals on a plant-based diet, possibly due to the high-fiber low fat nature of this style of eating and due to the fact that low levels of fat may increase metabolism levels. The aim of this randomised control trial of 244 people following a vegan diet was to assess the effects of a low-fat vegan diet on body weight, insulin resistance (IR), metabolism and lipid levels in the liver and muscle over 16 weeks. The results showed that individuals who followed the low-fat vegan diet as opposed to a normal vegan diet lost more weight, attributed to a loss of body fat and had decreased cholesterol levels. Measures of how the body balances blood sugars were improved and this was directly related to weight loss. The amount of energy needed to digest the food in the intervention diet was increased compared to the control group and this was involved in a relationship whereby as fat mass decreased, blood sugar balance improved, and metabolism increased. Liver lipids decreased in the intervention group, which was directly related to body weight loss and as liver lipids decreased, blood sugar balance increased. Muscle lipids were significantly decreased in the intervention group compared to the control group. It was shown that as fat mass decreased, muscle fat levels and blood sugar balance improved. It was concluded that the low-fat plant-based diet reduced body weight due to a reduced energy intake and increased body metabolism following eating. Blood sugar control was improved due to reduced fat levels in the muscles and liver. This study could be used by healthcare professionals to recommend a low-fat plant based diet to individuals who are overweight and/or who are showing signs of blood sugar imbalance.
Abstract
Importance: Excess body weight and insulin resistance lead to type 2 diabetes and other major health problems. There is an urgent need for dietary interventions to address these conditions. Objective: To measure the effects of a low-fat vegan diet on body weight, insulin resistance, postprandial metabolism, and intramyocellular and hepatocellular lipid levels in overweight adults. Design, Setting, and Participants: This 16-week randomized clinical trial was conducted between January 2017 and February 2019 in Washington, DC. Of 3115 people who responded to flyers in medical offices and newspaper and radio advertisements, 244 met the participation criteria (age 25 to 75 years; body mass index of 28 to 40) after having been screened by telephone. Interventions: Participants were randomized in a 1:1 ratio. The intervention group (n = 122) was asked to follow a low-fat vegan diet and the control group (n = 122) to make no diet changes for 16 weeks. Main Outcomes and Measures: At weeks 0 and 16, body weight was assessed using a calibrated scale. Body composition and visceral fat were measured by dual x-ray absorptiometry. Insulin resistance was assessed with the homeostasis model assessment index and the predicted insulin sensitivity index (PREDIM). Thermic effect of food was measured by indirect calorimetry over 3 hours after a standard liquid breakfast (720 kcal). In a subset of participants (n = 44), hepatocellular and intramyocellular lipids were quantified by proton magnetic resonance spectroscopy. Repeated measure analysis of variance was used for statistical analysis. Results: Among the 244 participants in the study, 211 (87%) were female, 117 (48%) were White, and the mean (SD) age was 54.4 (11.6) years. Over the 16 weeks, body weight decreased in the intervention group by 5.9 kg (95% CI, 5.0-6.7 kg; P < .001). Thermic effect of food increased in the intervention group by 14.1% (95% CI, 6.5-20.4; P < .001). The homeostasis model assessment index decreased (-1.3; 95% CI, -2.2 to -0.3; P < .001) and PREDIM increased (0.9; 95% CI, 0.5-1.2; P < .001) in the intervention group. Hepatocellular lipid levels decreased in the intervention group by 34.4%, from a mean (SD) of 3.2% (2.9%) to 2.4% (2.2%) (P = .002), and intramyocellular lipid levels decreased by 10.4%, from a mean (SD) of 1.6 (1.1) to 1.5 (1.0) (P = .03). None of these variables changed significantly in the control group over the 16 weeks. The change in PREDIM correlated negatively with the change in body weight (r = -0.43; P < .001). Changes in hepatocellular and intramyocellular lipid levels correlated with changes in insulin resistance (both r = 0.51; P = .01). Conclusions and Relevance: A low-fat plant-based dietary intervention reduces body weight by reducing energy intake and increasing postprandial metabolism. The changes are associated with reductions in hepatocellular and intramyocellular fat and increased insulin sensitivity. Trial Registration: ClinicalTrials.gov Identifier: NCT02939638.
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Proteomic profiles before and during weight loss: Results from randomized trial of dietary intervention.
Figarska, SM, Rigdon, J, Ganna, A, Elmståhl, S, Lind, L, Gardner, CD, Ingelsson, E
Scientific reports. 2020;10(1):7913
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Understanding biological substances, or "biomarkers" that are present in the body of individuals with obesity, could lead to personalised dietary recommendations for weight loss. Current research on biomarkers in individuals with obesity who have undergone a weight loss intervention is lacking. This secondary analysis of a randomised control trial study of 609 healthy and obese adults over 6 months, aimed to identify biomarkers associated with obesity, determine any changes with weight loss and if these could be used to make personalised recommendations. 263 biomarkers were tested and the results showed that 102 were associated with body mass index (BMI). 88 were elevated in individuals with a higher BMI. Upon weight loss, a large number of these decreased and a small number increased. The type of diet had no influence on how these biomarkers changed and only one could be used to predict weight loss. It was concluded that many of the biomarkers were connected to BMI and many changed with weight loss, however none of the biomarkers studied could be used to individualise dietary recommendations. This study could be used by healthcare professionals to understand that the role of biomarkers in personalising recommendations is complex and more research may be needed.
Abstract
Inflammatory and cardiovascular biomarkers have been associated with obesity, but little is known about how they change upon dietary intervention and concomitant weight loss. Further, protein biomarkers might be useful for predicting weight loss in overweight and obese individuals. We performed secondary analyses in the Diet Intervention Examining The Factors Interacting with Treatment Success (DIETFITS) randomized intervention trial that included healthy 609 adults (18-50 years old) with BMI 28-40 kg/m2, to evaluate associations between circulating protein biomarkers and BMI at baseline, during a weight loss diet intervention, and to assess predictive potential of baseline blood proteins on weight loss. We analyzed 263 plasma proteins at baseline and 6 months into the intervention using the Olink Proteomics CVD II, CVD III and Inflammation arrays. BMI was assessed at baseline, after 3 and 6 months of dietary intervention. At baseline, 102 of the examined inflammatory and cardiovascular biomarkers were associated with BMI (>90% with successful replication in 1,584 overweight/obese individuals from a community-based cohort study) and 130 tracked with weight loss shedding light into the pathophysiology of obesity. However, out of 263 proteins analyzed at baseline, only fibroblast growth factor 21 (FGF-21) predicted weight loss, and none helped individualize dietary assignment.
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The effects of intensive dietary weight loss and exercise on gait in overweight and obese adults with knee osteoarthritis. The Intensive Diet and Exercise for Arthritis (IDEA) trial.
Messier, SP, Beavers, DP, Mihalko, SL, Miller, GD, Lyles, MF, Hunter, DJ, Carr, JJ, Eckstein, F, Guermazi, A, Loeser, RF, et al
Journal of biomechanics. 2020;98:109477
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Obesity is a common contributor to knee joint arthritis. In a previous trial, called the Intensive Diet and Exercise for Arthritis (IDEA) trial, it was demonstrated that 18 months of weight loss via a combination of diet and exercise was superior to diet alone for improved clinical outcomes in 454 individuals with knee joint arthritis. This sub analysis of the original randomised control trial, aimed to determine if weight loss due to diet plus exercise was more beneficial than weight loss due to diet or exercise alone to the way a person walked with knee joint arthritis. The results showed that weight loss was greatest amongst the diet and exercise group, then the diet group, and finally the exercise group. The diet and exercise group walked faster than either the diet or exercise alone groups. Dietary weight loss resulted in improved pressure upon the hip, knee and ankle joints, which was attenuated with a combination of diet and exercise. It was concluded that dietary weight loss was more beneficial for knee joint arthritis, however dietary weight loss combined with exercise is still superior to exercise alone. This study could be used by healthcare professionals to recommend a dietary weight loss regime for individuals with knee arthritis in order to improve their ability to walk.
Abstract
The Intensive Diet and Exercise for Arthritis (IDEA) trial was an 18-month randomized controlled trial that enrolled 454 overweight and obese older adults with symptomatic and radiographic knee osteoarthritis (OA). Participants were randomized to either exercise (E), intensive diet-induced weight loss (D), or intensive diet-induced weight loss plus exercise (D + E) interventions. We previously reported that the clinical benefits of D + E were significantly greater than with either intervention alone (e.g., greater pain reduction, and better function, mobility, and health-related quality of life). We now test the hypothesis that D + E has greater overall benefit on gait mechanics compared to either intervention alone. Knee joint loading was analyzed using inverse dynamics and musculoskeletal modeling. Analysis of covariance determined the interventions' effects on gait. The D + E group walked significantly faster at 18-month follow-up (1.35 m s-1) than E (1.29 m s-1, p = 0.0004) and D (1.31 m s-1, p = 0.0007). Tibiofemoral compressive impulse was significantly lower (p = 0.0007) in D (1069 N s) and D + E (1054 N s) compared to E (1130 N s). D had significantly lower peak hip external rotation moment (p = 0.01), hip abduction moment (p = 0.0003), and peak hip power production (p = 0.016) compared with E. Peak ankle plantar flexion moment was significantly less (p < 0.0001) in the two diet groups compared with E. There also was a significant dose-response to weight loss; participants that lost >10% of baseline body weight had significantly (p = 0.0001) lower resultant knee forces and lower muscle (quadriceps, hamstring, and gastrocnemius) forces than participants that had less weight loss. Compared to E, D produces significant load reductions at the hip, knee, and ankle; combining D with E attenuates these reductions, but most remain significantly better than with E alone.
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The consequences of exercise-induced weight loss on food reinforcement. A randomized controlled trial.
Flack, KD, Hays, HM, Moreland, J
PloS one. 2020;15(6):e0234692
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Exercise is a long-standing remedy for nearly all of obesity’s comorbidities and often recommended as an economical and health-promoting option for weight loss and weight loss maintenance. The aim of this study was to investigate the effect of exercise on food reinforcement (reward-driven feeding), and to examine whether changes in body composition would be correlated with changes in food reinforcement. This study is randomized controlled trial with a total of 52 participants aged 18 to 40 years. Participants were randomly assigned to one of the three groups (six exercise sessions per week, two sessions per week, and sedentary control). Results indicate that there is great variability in individuals’ change in food reinforcement after a 12-week aerobic exercise intervention. Furthermore, those who did increase their food reinforcement were also those who lost the greatest amount of fat-free mass post-intervention. Authors conclude that preventing the loss of fat-free mass may be a valuable piece to a weight loss programme (with resistance training or dietary protein intake as adjunct therapy).
Abstract
BACKGROUND Obesity remains a primary threat to the health of most Americans, with over 66% considered overweight or obese with a body mass index (BMI) of 25 kg/m2 or greater. A common treatment option many believe to be effective, and therefore turn to, is exercise. However, the amount of weight loss from exercise training is often disappointingly less than expected with greater amounts of exercise not always promoting greater weight loss. Increases in energy intake have been prescribed as the primary reason for this lack of weight loss success with exercise. Research has mostly focused on alterations in hormonal mediators of appetite (e.g.: ghrelin, peptide YY, GLP-1, pancreatic polypeptide, and leptin) that may increase hunger and/or reduce satiety to promote greater energy intake with exercise training. A less understood mechanism that may be working to increase energy intake with exercise is reward-driven feeding, a strong predictor of energy intake and weight status but rarely analyzed in the context of exercise. DESIGN Sedentary men and women (BMI: 25-35 kg/m2, N = 52) were randomized into parallel aerobic exercise training groups partaking in either two or six exercise sessions/week, or sedentary control for 12 weeks. METHODS The reinforcing value of food was measured by an operant responding progressive ratio schedule task (the behavioral choice task) to determine how much work participants were willing to perform for access to a healthy food option relative to a less healthy food option before and after the exercise intervention. Body composition and resting energy expenditure were assessed via DXA and indirect calorimetry, respectively, at baseline and post testing. RESULTS Changes in fat-free mass predicted the change in total amount of operant responding for food (healthy and unhealthy). There were no correlations between changes in the reinforcing value of one type of food (healthy vs unhealthy) to changes in body composition. CONCLUSION In support of previous work, reductions in fat-free mass resulting from an aerobic exercise intervention aimed at weight loss plays an important role in energy balance regulation by increasing operant responding for food.