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Record W2495142538 · doi:10.1002/oby.21553

Metabolic adaptation: Here to stay?

2016· letter· en· W2495142538 on OpenAlexaff
Angelo Tremblay

Bibliographic record

VenueObesity · 2016
Typeletter
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsBasal metabolic rateWeight lossObesityMedicineCompetition (biology)Metabolic rateThermogenesisEndocrinologyEnergy expenditureInternal medicineAdaptation (eye)PhysiologyBiologyNeuroscience

Abstract

fetched live from OpenAlex

It is well established that substantial body fat loss in individuals with obesity can induce a state of metabolic vulnerability potentially favoring long-term weight regain. This is explained by a greater than predicted decrease in energy expenditure and an increase in appetite that are associated with biological adaptations such as reduced leptinemia and sympathetic nervous system activity (1, 2). However, despite the numerous research attempts to determine whether cycles of weight loss/regain may generate persistent metabolic vulnerability, this question has never been clearly answered and remains a significant matter of preoccupation for health professionals and individuals with obesity. In this issue of Obesity, Fothergill et al. (3) report a study that gave the opportunity to test participants of “The Biggest Loser” in whom resting metabolic rate (RMR) was measured before and after the competition as well as 6 years later. As expected, the mean 58.3 kg weight loss observed during the competition resulted in a substantial decrease in RMR that reached 610 kcal/day. These investigators also estimated that this decrease included a metabolic adaptation of 275 kcal/day representing a decrease exceeding what would have been predicted by the loss of fat mass and fat-free mass. Six years after the end of the competition, this decrease in adaptive thermogenesis was even more pronounced. The mean metabolic adaptation had increased to 499 kcal/day, which explains why RMR remained 704 kcal/day below the baseline level despite a 41 kg body weight regain. As described by the investigators, this large metabolic adaptation could not be attributed to the fact that RMR was measured with a different calorimeter 6 years after the end of the competition. Additionally, our research experience reveals that the reported persistent metabolic adaptation can only be partly attributable to an aging effect over a 6-year follow-up (4). Globally, the results of this study are well concordant with previous long-term studies having shown that substantial weight loss induces biological adaptations that promote weight regain (1, 2). Beyond these observations, the results of this study add bad news to this story which is related to the amplification of the metabolic adaptation over time. From a clinical standpoint, this should be viewed as an important argument in favor of the inclusion of weight maintenance periods within a weight-reducing program that could reveal that a healthy sustainable body weight is achieved and that striving for maximal weight loss is not relevant. Finally, the reported thermogenic adaptation over time also reminds us that the metabolic vulnerability of individuals with obesity persists even after their condition has supposedly been cured by weight loss.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.193
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.276
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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