In our westernized obesogenic environment plagued by an overabundance of calorie-dense food and physical inactivity, obesity has become a highly prevalent condition and a major concern to public health. Interestingly, the predisposition for weight gain varies among people despite similar environmental exposures or familial traits (1). While eating less and moving more are obvious remedies for obesity, such therapeutic strategies often fall short of what is expected from affected patients. Many claim that the obesity epidemic should be tackled by prevention, especially if a simple clinical test or established biomarker can identify individuals with a high susceptibility for weight gain.
Individuals who are able to withstand periods of energy excess and resist weight gain are thought to ignite a thermogenic response (an “adaptive” increase in energy expenditure), thus dissipating some of the excess energy consumed as heat rather than storing it as body fat. This hypothesis was first suggested by Neuman in 1902, who coined the term “luxuskonsumption” (2), and was reaffirmed by Stock almost 100 years later (3). In an elegant series of studies using a respiratory chamber, the group from the National Institute of Diabetes and Digestive and Kidney Diseases in Phoenix showed that in response to acute (24-h) fasting or overfeeding, individuals respond differently in decreasing or increasing 24-h energy expenditure, thus identifying individuals with a “thrifty” or “spendthrift” metabolism, respectively (4). Such metabolic phenotypes were associated with variation in weight loss during an 8-week controlled caloric restriction (5) or with spontaneous changes in weight over a 6-month follow-up period (6). However, measuring induction of adaptive thermogenesis in response to fasting or overfeeding requires a room calorimeter, a technology seldom available in research facilities and nonexistent in clinical settings.
In their latest study published in this issue of Diabetes, using an acute low-protein overfeeding dietary paradigm, Vinales et al. (7) identify the increase in fibroblast growth factor 21 (FGF21) concentrations as a potential hormonal biomarker of weight gain susceptibility. More specifically, the authors observe that ingestion of a low-protein diet (3% of total intake) that provides twice the amount of energy required for weight maintenance causes almost an average threefold increase in FGF21. Importantly, the increase in FGF21 is positively associated with the increase in 24-h energy expenditure (adaptive thermogenesis) and inversely to the spontaneous weight change (varying from −7.5 to +17.5 kg) over a 6-month follow-up period. In other words, individuals who failed to significantly increase FGF21 in response to acute overfeeding with low protein gain the most weight during the follow-up. Remarkably, the measured increase in FGF21 is robust and not influenced by the remaining diet composition (i.e., high fat or high carbohydrate). The authors therefore propose that the acute response to 24-h overfeeding with a low-protein diet can identify individuals with a “thrifty” metabolism and therefore prone to weight gain versus those with a “spendthrift” metabolism and less likely to gain weight (Fig. 1).
FGF21 is a complex and multifunctional circulatory protein that clearly operates in pathways involved in metabolic regulation throughout the body. Since the impact of FGF21 on energy metabolism is not fully understood (8), it is now imperative to investigate the physiological effects of FGF21 on energy balance. Recent gain- or loss-of-function studies in rodent models have identified compelling roles for FGF21 in the regulation of energy balance, body weight regulation, lipid homeostasis, glucose homeostasis, ketogenesis, lipolysis, and hepatic steatosis (9). However, more than 10 years after the discovery of the importance of FGF21 in weight regulation in rodents, not much progress has been made to test its role in human obesity and whether it represents a potential pharmacological target for weight management.
Longitudinal studies in Pima Indians have clearly shown that weight gain susceptibilty is associated with factors related to energy metabolism, such as low metabolic rate (10), low rates of fat oxidation (11), low levels of spontaneous physical activity (12), and low sympathetic nervous system activity (13). However, surprisingly, Vinales et al. (7) report that only the acute change in FGF21 was a potential predictor of weight change over 6 months, whereas the acute change in 24-h energy expenditure was not in the present data set. As acknowledged by the authors, the small sample size is a limitation of the current study. Another limitation is the lack of measurement of physical fitness (VO2max), an important physiological trait known to be associated with metabolic flexibility and metabolic health. Finally, it is worth noting that the weight gain in this study was nonhabitual (>5 kg) for some individuals over 6 months. Clearly, this work instigates future explorations into 1) the use of an acute protein overfeeding paradigm as a “metabolic stress test” for identifying potential biomarkers of weight gain susceptibility and 2) the potential of FGF21 as a biomarker for predicting weight gain and a therapeutic remedy for obesity in humans. As a next step, it is imperative that a controlled overfeeding study be conducted to investigate the hypothesized greater weight gain in those with lower increase in FGF21 in response to acute low-protein overfeeding. Only such studies will tell us whether FGF21 can be reliably used as a biomarker of weight gain susceptibility in humans.
Article Information
Duality of Interest. No potential conflicts of interest relevant to this article were reported.
Footnotes
See accompanying article, p. 318.
Contributor Information
Leanne M. Redman, Division of Clinical Sciences, Pennington Biomedical Research Center, Baton Rouge, LA
Eric Ravussin, Division of Clinical Sciences, Pennington Biomedical Research Center, Baton Rouge, LA.
References
- 1. Stunkard AJ , Sørensen TI , Hanis C , et al. An adoption study of human obesity. N Engl J Med 1986;314:193–198 [DOI] [PubMed] [Google Scholar]
- 2. Neumann RO . Experimentelle beiträge zur lehre von dem täglichen nahrungsbedarf des menschen unter besonderer beruck-sichtigung der notwendigen eiweissmenge. Arch Hyg 1902;45:1–87 [Google Scholar]
- 3.Stock MJ. Gluttony and thermogenesis revisited. Int J Obes Relat Metab Disord 1999;23:1105–1117 [DOI] [PubMed]
- 4.Weyer C, Vozarova B, Ravussin E, Tataranni PA. Changes in energy metabolism in response to 48 h of overfeeding and fasting in Caucasians and Pima Indians. Int J Obes Relat Metab Disord 2001;25:593–600 [DOI] [PubMed]
- 5. Reinhardt M , Thearle MS , Ibrahim M , et al. A human thrifty phenotype associated with less weight loss during caloric restriction. Diabetes 2015;64:2859–2867 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Schlögl M , Piaggi P , Pannacciuli N , Bonfiglio SM , Krakoff J , Thearle MS . Energy expenditure responses to fasting and overfeeding identify phenotypes associated with weight change. Diabetes 2015;64:3680–3689 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Vinales KL , Begaye B , Bogardus C , Walter M , Krakoff J , Piaggi P . FGF21 is a hormonal mediator of the human “thrifty” metabolic phenotype. Diabetes 2019;68:318–323 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Kharitonenkov A , Shiyanova TL , Koester A , et al. FGF-21 as a novel metabolic regulator. J Clin Invest 2005;115:1627–1635 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Owen BM , Ding X , Morgan DA , et al. FGF21 acts centrally to induce sympathetic nerve activity, energy expenditure, and weight loss. Cell Metab 2014;20:670–677 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Ravussin E , Lillioja S , Knowler WC , et al. Reduced rate of energy expenditure as a risk factor for body-weight gain. N Engl J Med 1988;318:467–472 [DOI] [PubMed] [Google Scholar]
- 11. Zurlo F , Lillioja S , Esposito-Del Puente A , et al. Low ratio of fat to carbohydrate oxidation as predictor of weight gain: study of 24-h RQ. Am J Physiol 1990;259:E650–E657 [DOI] [PubMed] [Google Scholar]
- 12. Zurlo F , Ferraro RT , Fontvielle AM , Rising R , Bogardus C , Ravussin E . Spontaneous physical activity and obesity: cross-sectional and longitudinal studies in Pima Indians. Am J Physiol 1992;263:E296–E300 [DOI] [PubMed] [Google Scholar]
- 13. Tataranni PA , Young JB , Bogardus C , Ravussin E . A low sympathoadrenal activity is associated with body weight gain and development of central adiposity in Pima Indian men. Obes Res 1997;5:341–347 [DOI] [PubMed] [Google Scholar]