The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Energy Expenditure Responses to Fasting and Overfeeding Identify Phenotypes Associated With Weight Change
Abstract
Because it is unknown whether 24-h energy expenditure (EE) responses to dietary extremes will identify phenotypes associated with weight regulation, the aim of this study was to determine whether such responses to fasting or overfeeding are associated with future weight change. The 24-h EE during energy balance, fasting, and four different overfeeding diets with 200% energy requirements was measured in a metabolic chamber in 37 subjects with normal glucose regulation while they resided on our clinical research unit. Diets were given for 24 h each and included the following: 1) low protein (3%), 2) standard (50% carbohydrate, 20% protein), 3) high fat (60%), and 4) high carbohydrate (75%). Participants returned for follow-up 6 months after the initial measures. The decrease in 24-h EE during fasting and the increase with overfeeding were correlated. A larger reduction in EE during fasting, a smaller EE response to low-protein overfeeding, and a larger response to high-carbohydrate overfeeding all correlated with weight gain. The association of the fasting EE response with weight change was not independent from that of low protein in a multivariate model. We identified the following two independent propensities associated with weight gain: a predilection for conserving energy during caloric and protein deprivation and a profligate response to large amounts of carbohydrates.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In a given individual, both mechanisms add to efficient energy use to conserve body energy providing a so-called thrifty phenotype [32, 33].”
From Changes in energy expenditure with weight gain and weight loss in humans (2016) · cites this paper as [33]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2013) · Diabetes Care · doi:10.2337/dc13-s067 · Cited by 2,245
FGF21 is an endocrine signal of protein restriction
Laeger, T., Henagan, T. M., Albarado, D. C., Redman, L. M., Bray, G. A., Noland, R. C., Münzberg, H., Hutson, S. M., Gettys, T. W., Schwartz, M. W., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci74915 · Cited by 593 · cited 4×
“A candidate pathway that might explain these findings is the hepatic response to amino acid deprivation that leads to secretion of fibroblast growth factor 21 (FGF21) (26,27).”
BackgroundInfluentialBray, G. A., Smith, S. R., de Jonge, L., Xie, H., Rood, J., Martin, C. K., Most, M., Brock, C., Mancuso, S., & Redman, L. M. (2012) · JAMA · doi:10.1001/jama.2011.1918 · Cited by 285 · cited 2×
“A more recent study investigating the effects of long-term overconsumption of low-, normal-, and high-protein diets (8) found that FM gain was similar in all three groups, although low-protein diets led to smaller changes in overall weight due to differences in FFM.”
BackgroundGluttony and thermogenesis revisited
Stock, M. J. (1999) · International Journal of Obesity · doi:10.1038/sj.ijo.0801108 · Cited by 242 · cited 1×
“Although it has been proposed that low-protein diets might magnify differences in the propensity to obesity (2,7), a recent study (8) has shown that the EE response is smaller and fat mass (FM) gain is similar when overeating low-protein diets compared with normalprotein diets.”
BackgroundWeyer, C., Vozarova, B., Ravussin, E., & Tataranni, P. (2001) · International Journal of Obesity · doi:10.1038/sj.ijo.0801610 · Cited by 91 · cited 3×
“234 It is known from studies such as the Minnesota experiment and the Biosphere 2 project 235 that prolonged energy restriction leads to adaptive reductions in EE (5; 19-21).”
Background
Flagged first, then by citations
Research works printed but not linked: 35
- Dériaz, 1992, Lean-body-mass composition and resting energy expenditure before and after long-term overfeeding, Am J Clin Nutr, 56, 840, 10.1093/ajcn/56.5.840 · DOI
- Dulloo, 1999, Low-protein overfeeding: a tool to unmask susceptibility to obesity in humans, 1118
- Klein, 1993, Energy metabolism in response to overfeeding in young adult men, Metabolism, 42, 1201, 10.1016/0026-0495(93)90281-R · DOI
- Ravussin, 1985, Short-term, mixed-diet overfeeding in man: no evidence for “luxuskonsumption”, Am J Physiol, 249, E470
- Thearle, 2013, Extent and determinants of thermogenic responses to 24 hours of fasting, energy balance, and five different overfeeding diets in humans, J Clin Endocrinol Metab, 98, 2791, 10.1210/jc.2013-1289 · DOI
- Schwartz, 1985, The thermic effect of carbohydrate versus fat feeding in man, Metabolism, 34, 285, 10.1016/0026-0495(85)90014-9 · DOI
- Vosselman, 2013, Brown adipose tissue activity after a high-calorie meal in humans, Am J Clin Nutr, 98, 57, 10.3945/ajcn.113.059022 · DOI
- Ferraro, 1991, Energy cost of physical activity on a metabolic ward in relationship to obesity, Am J Clin Nutr, 53, 1368, 10.1093/ajcn/53.6.1368 · DOI
- Abbott, 1988, Short-term energy balance: relationship with protein, carbohydrate, and fat balances, Am J Physiol, 255, E332
- Grubbs, 1969, Procedures for detecting outlying observations in samples, Technometrics, 11, 1, 10.1080/00401706.1969.10490657 · DOI · Paper page
- Rosner, 1983, Percentage points for a generalized ESD many-outlier procedure, Technometrics, 25, 165, 10.1080/00401706.1983.10487848 · DOI
- Miller, 1967, Gluttony. 2. Thermogenesis in overeating man, Am J Clin Nutr, 20, 1223, 10.1093/ajcn/20.11.1223 · DOI
- Reinhardt, 2015, A human thrifty phenotype associated with less weight loss during caloric restriction, Diabetes, 10.2337/db14-1881 · DOI · Paper page
- Grande, 1958, Changes of basal metabolic rate in man in semistarvation and refeeding, J Appl Physiol, 12, 230, 10.1152/jappl.1958.12.2.230 · DOI · Paper page
- Taylor, 1950, Adaptation to caloric restriction, Science, 112, 215, 10.1126/science.112.2904.215 · DOI
- Walford, 1992, The calorically restricted low-fat nutrient-dense diet in Biosphere 2 significantly lowers blood glucose, total leukocyte count, cholesterol, and blood pressure in humans, Proc Natl Acad Sci USA, 89, 11533, 10.1073/pnas.89.23.11533 · DOI
- Weyer, 2000, Energy metabolism after 2 y of energy restriction: the biosphere 2 experiment, Am J Clin Nutr, 72, 946, 10.1093/ajcn/72.4.946 · DOI
- Aparecida de França, 2009, Low protein diet changes the energetic balance and sympathetic activity in brown adipose tissue of growing rats, Nutrition, 25, 1186, 10.1016/j.nut.2009.03.011 · DOI
- Miller, 1967, Gluttony. 1. An experimental study of overeating low- or high-protein diets, Am J Clin Nutr, 20, 1212, 10.1093/ajcn/20.11.1212 · DOI
- Schmidt, 2013, The effects of short-term overfeeding on energy expenditure and nutrient oxidation in obesity-prone and obesity-resistant individuals, Int J Obes (Lond), 37, 1192, 10.1038/ijo.2012.202 · DOI
- Anthony, 2004, Preservation of liver protein synthesis during dietary leucine deprivation occurs at the expense of skeletal muscle mass in mice deleted for eIF2 kinase GCN2, J Biol Chem, 279, 36553, 10.1074/jbc.M404559200 · DOI
- Gälman, 2008, The circulating metabolic regulator FGF21 is induced by prolonged fasting and PPARalpha activation in man, Cell Metab, 8, 169, 10.1016/j.cmet.2008.06.014 · DOI · Paper page
- Inagaki, 2007, Endocrine regulation of the fasting response by PPARalpha-mediated induction of fibroblast growth factor 21, Cell Metab, 5, 415, 10.1016/j.cmet.2007.05.003 · DOI · Paper page
- Reitman, 2007, FGF21: a missing link in the biology of fasting, Cell Metab, 5, 405, 10.1016/j.cmet.2007.05.010 · DOI
- Hankinson, 2013, Diet composition and activity level of at risk and metabolically healthy obese American adults, Obesity (Silver Spring), 21, 637, 10.1002/oby.20257 · DOI
- Buyken, 2014, Association between carbohydrate quality and inflammatory markers: systematic review of observational and interventional studies, Am J Clin Nutr, 99, 813, 10.3945/ajcn.113.074252 · DOI · Paper page
- Eckel, 2006, Carbohydrate balance predicts weight and fat gain in adults, Am J Clin Nutr, 83, 803, 10.1093/ajcn/83.4.803 · DOI · Paper page
- Blundell, 2012, Body composition and appetite: fat-free mass (but not fat mass or BMI) is positively associated with self-determined meal size and daily energy intake in humans, Br J Nutr, 107, 445, 10.1017/S0007114511003138 · DOI · Paper page
- Weise, 2014, Body composition and energy expenditure predict ad-libitum food and macronutrient intake in humans, Int J Obes (Lond), 38, 243, 10.1038/ijo.2013.85 · DOI · Paper page
- Pannacciulli, 2007, The 24-h carbohydrate oxidation rate in a human respiratory chamber predicts ad libitum food intake, Am J Clin Nutr, 86, 625, 10.1093/ajcn/86.3.625 · DOI
- Zurlo, 1990, Low ratio of fat to carbohydrate oxidation as predictor of weight gain: study of 24-h RQ, Am J Physiol, 259, E650
- Piaggi, 2013, Lower “awake and fed thermogenesis” predicts future weight gain in subjects with abdominal adiposity, Diabetes, 62, 4043, 10.2337/db13-0785 · DOI
- Piaggi, 2013, Lower energy expenditure predicts long-term increases in weight and fat mass, J Clin Endocrinol Metab, 98, E703, 10.1210/jc.2012-3529 · DOI
- Luke, 2006, Positive association between resting energy expenditure and weight gain in a lean adult population, Am J Clin Nutr, 83, 1076, 10.1093/ajcn/83.5.1076 · DOI
- Piaggi, 2015, Fasting hyperglycemia predicts lower rates of weight gain by increased energy expenditure and fat oxidation rate, J Clin Endocrinol Metab, 100, 1078, 10.1210/jc.2014-3582 · DOI
Cited by
Sorted by citations
Changes in energy expenditure with weight gain and weight loss in humans
Müller, M. J., Enderle, J., & Bosy-Westphal, A. (2016) · Current Obesity Reports · doi:10.1007/s13679-016-0237-4 · Cited by 267
Hyperinsulinemia: A cause of obesity?
Erion, K. A., & Corkey, B. E. (2017) · Current Obesity Reports · doi:10.1007/s13679-017-0261-z · Cited by 161
Christoffersen, B. Ø., Sanchez‐Delgado, G., John, L. M., Ryan, D. H., Raun, K., & Ravussin, E. (2022) · Obesity · doi:10.1002/oby.23374 · Cited by 142
“Importantly, the thrifty phenotype is associated with larger body weight gain during a free- living follow- up (14) or a 6week overfeeding intervention (15) and with lower weight loss during a tightly controlled calorie restriction intervention (16).”
BackgroundEffects of Short-Term Fasting and Different Overfeeding Diets on Thyroid Hormones in Healthy Humans
Basolo, A., Begaye, B., Hollstein, T., Vinales, K. L., Walter, M., Santini, F., Krakoff, J., & Piaggi, P. (2019) · Thyroid® · doi:10.1089/thy.2019.0237 · Cited by 37
Self-citationTargeting skeletal muscle mitochondrial health in obesity
Pileggi, C. A., Hooks, B. G., McPherson, R., Dent, R. R. M., & Harper, M.-E. (2022) · Clinical Science · doi:10.1042/cs20210506 · Cited by 21
Metadata
- Authors
- Schlögl, M., Piaggi, P., Pannacciuli, N., Bonfiglio, S. M., Krakoff, J., & Thearle, M. S.
- Affiliations
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ
- Amgen Inc., Thousand Oaks, CA
- ORCID
- Piaggi, Paolo
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2015-07-16
- Volume
- 64
- Issue
- 11
- Pages
- 3680-3689
- ISSN
- 0012-1797
- 1939-327X
- PMC
- PMC4613969
- Cited by
- 65
- References
- 5
- Language
- en
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review