Role of adaptive thermogenesis in unsuccessful weight-loss intervention

Resting energy expenditure depends on energy intake during weight loss in people with obesity: a retrospective cohort study

Objective

Resting energy expenditure (REE) decreases if there is reduced energy intake and body weight (BW). The decrease in REE could make it difficult for patients with obesity to maintain decreased BW. This study aimed to investigate the correlation among changes in REE, energy intake, and BW during the weight loss process in patients with obesity.

Materials and methods

We conducted a retrospective cohort study of patients hospitalized for the treatment of obesity in Japan. Patients received fully controlled diet during hospitalization and performed exercises if able. REE was measured once a week using a hand-held indirect calorimetry. Energy intake was determined by actual dietary intake.

Results

Of 44 inpatients with obesity, 17 were included in the analysis. Their BW decreased significantly after 1 week (-4.7 ± 2.0 kg, P < 0.001) and 2 weeks (-5.7 ± 2.2 kg, P < 0.001). The change in REE after 1 and 2 weeks was positively correlated with the energy intake/energy expenditure ratio (r = 0.66, P = 0.004 at 1 week, r = 0.71, P = 0.002 at 2 weeks). Using a regression equation (y = 0.5257x - 43.579), if the energy intake/energy expenditure ratio within the second week was 82.9%, the REE after 2 weeks was similar to the baseline level. There was no significant correlation between the change in REE and BW.

Conclusion

Our data suggest that changes in REE depend on energy intake/energy expenditure ratio and that the decrease in REE can be minimized by matching energy intake to energy expenditure, even during the weight loss process.

Dynamic changes in energy expenditure in response to underfeeding: a review

The observation that 64% of English adults are overweight or obese despite a rising prevalence in weight-loss attempts suggests our understanding of energy balance is fundamentally flawed. Weight-loss is induced through a negative energy balance; however, we typically view weight change as a static function, in that energy intake and energy expenditure are independent variables, resulting in a fixed rate of weight-loss assuming a constant energy deficit. Such static modelling provides the basis for the clinical assumption that a 14644 kJ (3500 kcal) deficit translates to a 1 lb weight-loss. However, this '3500 kcal (14644 kJ) rule' is consistently shown to significantly overestimate weight-loss. Static modelling disregards obligatory changes in energy expenditure associated with the loss of metabolically active tissue, i.e. skeletal muscle. Additionally, it disregards the presence of adaptive thermogenesis, the underfeeding-associated fall in resting energy expenditure beyond that caused by loss of fat-free mass. This metabolic manipulation of energy expenditure is observed from the onset of energy restriction to maintain weight at a genetically pre-determined set point. As a result, the observed magnitude of weight-loss is disproportionally less, followed by earlier weight plateau, despite strict compliance to a dietary intervention. By simulating dynamic changes in energy expenditure associated with underfeeding, mathematical modelling may provide a more accurate method of weight-loss prediction. However, accuracy at an individual level is limited due to difficulty estimating energy requirements, physical activity and dietary intake in free-living individuals. In the present paper, we aim to outline the contribution of dynamic changes in energy expenditure to weight-loss resistance and weight plateau.

Does adaptive thermogenesis occur after weight loss in adults? A systematic review

Adaptive thermogenesis (AT) has been proposed to be a compensatory response that may resist weight loss (WL) and promote weight regain. This systematic review examined the existence of AT in adults after a period of negative energy balance (EB) with or without a weight stabilisation phase. Studies published until 15 May 2020 were identified from PubMed, Cochrane Library, EMBASE, MEDLINE, SCOPUS and Web of Science. Inclusion criteria included statistically significant WL, observational with follow-up or experimental studies, age > 18y, sample size ≥10 participants, intervention period ≥ 1week, published in English, objective measures of total daily energy expenditure (EE) (TDEE), resting EE (REE) and sleeping EE(SEE). The systematic review was registered at PROSPERO (2020 CRD42020165348). A total of thirty-three studies comprising 2528 participants were included. AT was observed in twenty-seven studies. Twenty-three studies showed significant values for AT for REE (82·8 %), four for TDEE (80·0 %) and two for SEE (100 %). A large heterogeneity in the methods used to quantify AT and between subjects and among studies regarding the magnitude of WL and/or of AT was reported. Well-designed studies reported lower or non-significant values for AT. These findings suggest that although WL may lead to AT in some of the EE components, these values may be small or non-statistically significant when higher-quality methodological designs are used. Furthermore, AT seems to be attenuated, or non-existent, after periods of weight stabilisation/neutral EB. More high-quality studies are warranted not only to disclose the existence of AT but also to understand its clinical implications on weight management outcomes.

Adaptations to a diet-based weight-reducing programme in obese women resistant to weight loss

The aim of this study was to assess energy intake, resting metabolic rate (RMR), appetite sensations, eating behaviours and sleep duration and quality in obese women resistant to body weight loss when subjected to a diet-based weight-reducing programme. A pooled cohort of obese women (n = 75; aged 39 ± 8 years; body mass index: 33 ± 4 kg m(-2)) participated in a 12-16-week diet-based weight loss programme targeting a daily energy deficit of 500-700 kcal d(-1). Women were classified in tertiles a posteriori based on the response of their body weight to dietary supervision (high, moderate and low responders). Post-intervention, mean weight loss was 3.3 ± 2.8 kg and explained by the 2.9 ± 2.6 kg reduction in fat mass. Mean weight loss was 6.2 ± 1.6, 3.4 ± 0.6 and 0.2 ± 1.4 kg in participants classified in the high, middle and low tertiles, respectively. Women in the low tertile reduced their daily energy intake and susceptibility to hunger during the programme to a lesser extent than those in the high tertile and had higher fasting hunger in response to the dietary intervention. Women in the high tertile maintained their RMR, which was in contrast to the significant decrease predicted by their weight loss. They also reported a significant improvement in sleep quality and an increase in sleep duration compared with other tertiles. The differences in the response of body weight to dietary supervision may be explained, in part, by variations in energy intake, eating behaviours, appetite sensations and sleep duration and quality.

Physical activity fluctuations and body fat during adolescence

OBJECTIVE

The objective of the study was to test the hypothesis that greater fluctuations in physical activity lead to greater increases in body fat during adolescence.

METHODS

Seven hundred fifty-six adolescents in Montreal, Canada, aged 12-13 years at baseline, completed a 7-d physical activity recall questionnaire every 3 months over 5 years. Body mass index (BMI), waist circumference, and triceps and subscapular skinfold thickness were measured at baseline and at the end of follow-up. Subject-specific linear regressions, expressing physical activity as a function of time, were fitted and physical activity fluctuation scores were obtained by averaging the absolute values of regression residuals. The association between body fat after 5 years and the physical activity fluctuation score was assessed in linear regressions adjusting for baseline body fat, average number of physical activity sessions per week, diet and sociodemographic variables.

RESULTS

Among boys, there were statistically significant positive associations between physical activity fluctuation and BMI (β, 95% confidence interval: 0.12, 0.02-0.21) and triceps skinfold (0.40, 0.17-0.63). The associations with waist circumference or subscapular skinfold were not statistically significant (0.22, -0.04-0.49; 0.13, -0.05-0.32, respectively). In girls, there were statistically significant negative associations between physical activity fluctuation and BMI (-0.12, -0.20 to -0.03), waist circumference (-0.54, -0.91 to -0.17), subscapular skinfold (-0.41, -0.56 to -0.26) and triceps skinfold (-0.22, -0.38 to -0.05).

CONCLUSION

Physical activity fluctuations appear to affect body fat during adolescence. Sex-specific interventions may be needed given that greater physical activity fluctuations seem unfavourable for boys and beneficial for girls.

Adaptive reduction in thermogenesis and resistance to lose fat in obese men

Adaptive thermogenesis is defined as a greater than predicted change in energy expenditure in response to changes in energy balance. This issue is particularly relevant in the context of a weight-reducing programme in which diminished thermogenesis can be sufficient to compensate for a prescribed decrease in daily energy intake. In the present pilot study, we investigated the adaptive reduction in thermogenesis in resting state that appears to favour resistance to further weight loss. Eight obese men (mean BMI: 33.4 kg/m2, mean age: 38 years) participated in this repeated-measures, within-subject, clinical intervention. They were subjected to a weight-loss programme that consisted of a supervised diet (-2930 kJ/d) and exercise clinical intervention. The phases investigated were as follows: (i) baseline, (ii) after 5 (SE 1) kg loss of body weight (phase 1), (iii) after 10 (SE 1) kg weight loss (phase 2) and (iv) at resistance to further weight loss (plateau). At each phase of the weight-reducing programme, body weight and composition as well as RMR were measured. A regression equation was established in a control population of the same age to predict RMR in obese men at each phase of the weight-loss programme. We observed that body weight and fat mass (FM) were significantly reduced (P < 0.05), while fat-free mass remained unchanged throughout the programme. In phase 1, measured RMR had fallen by 418 kJ/d, more than predicted (P < 0.05), and this difference reached 706 kJ/d at plateau (P < 0.05 v. phase 1). A positive association (r 0.64, P < 0.05) was observed between the reduction in thermogenesis and the degree of FM depletion at plateau. The adaptive reduction in thermogenesis at plateau was substantial and represented 30.9% of the compensation in energy balance that led to resistance to further lose body weight. In conclusion, these results show that adaptive reduction in thermogenesis may contribute to the occurrence of resistance to lose fat in obese men subjected to a weight-reducing programme.

A critical review of the cannabinoid receptor as a drug target for obesity management

The discovery of cannabinoids, with the well-known stimulatory effect of Cannabis sativa on appetite, has offered a new drug target for obesity treatment. Cannabinoids act on two different receptors: CB1 receptors which are sited in the brain and many peripheral tissues, and CB2 receptors which are primarily found in immune system cells. Cannabinoid receptor antagonists act centrally by blocking CB1 receptors, thereby reducing food intake. Moreover, they probably also act peripherally by increasing thermogenesis and therefore energy expenditure, as has been suggested by animal experiments. Despite these promising mechanisms of action, recent clinical studies examining the effect of the two CB1 receptor antagonists rimonabant and taranabant showed that the attained weight loss did not exceed that attained with other currently approved anti-obesity medications. Moreover, potentially severe psychiatric adverse effects limit their clinical use. As several new CB1 receptor antagonists are presently undergoing development, it remains to be elucidated to what extent they differ in terms of efficacy and safety. This review primarily discusses how close cannabinoid receptor antagonists are to the ideal anti-obesity drug, with respect to their mechanisms of action, clinical effectiveness and safety.

Energy expenditure and respiratory diseases: is there a link?

Recent studies have suggested that respiratory diseases, such as chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea syndrome (OSAS), influence energy expenditure (EE). This influence on energy balance may be responsible for the weight changes that are often seen in individuals suffering from OSAS and COPD. However, even though EE has been assessed in several studies, be it in OSAS or COPD, there are still controversies regarding these potential relationships. Thus, the objective of this review is to describe some of the potential mechanisms that may affect EE in respiratory diseases and, thereby discuss whether there seems to be an explanation for the aforementioned relationship. The primary focus is on the oxygen transport system, which may be an important determinant for the relationship between both of these respiratory diseases and EE.