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Mechanisms of appetite suppression after high intensity exercise in lean and obese boys

2016· article· en· W4389025788 on OpenAlexafffundabout
Sascha Hunschede, Alexander Schwartz, Ruslan Kubant, Rajadurai Akilen, Scott Thomas, G. Harvey Anderson

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsYork UniversityUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsAppetitePeptide YYGhrelinInternal medicineEndocrinologyLeptinMedicineHormoneObesityNeuropeptide Y receptorNeuropeptideReceptor

Abstract

fetched live from OpenAlex

Background High intensity exercise (HIE) suppresses appetite in adults and is thought to be mediated by appetite regulating hormones. It also affects a variety of other appetite controlling mechanism, such as inflammation and stress. Rationale Although the role of appetite hormones in HIE suppression of appetite has received much attention, their role remains unclear. Hypothesis HIE exercise induces a reduction of appetite due to an increase in inflammation and stress related responses. Objective To investigate and compare the underlying mechanisms contributing to the suppression of appetite with HIE in obese and lean children. Methods Crossover design of 11 lean and 11 obese boys (aged 10–18y) randomly assigned to rest or 30 min of HIE at 70% peak oxygen consumption (VO 2 peak). Subjective appetite was assessed before and after HIE with visual analog scales. Blood samples were collected at baseline (0 min), immediately after exercise at 50 min, 80 min and 110 min. Plasma biomarkers of appetite were measured by leptin, active ghrelin, glucagon‐like‐peptide‐1 (GLP‐1), peptide YY (PYY) and biomarkers of stress and inflammation were assessed by c‐reactive protein (CRP), Interleukin‐6 (IL‐6), tumor necrosis factor alpha (TNF‐α) and cortisol. Results At baseline, appetite was significantly increased (p=0.026) in obese compared to lean children. Appetite increased over time (p<0.001) but was suppressed by HIE (p=0.006) with no differences in lean and obese. Leptin (p<0.001), glucose (p=0.011) and insulin (p<0.001) were also increased more in obese children. At baseline there was no difference in active ghrelin, GLP‐1, PYY, CRP, IL‐6, TNF‐α and cortisol between lean and obese children. HIE suppressed active ghrelin (p<0.001) and increased inflammation as measured by interleukin‐6 (p<0.001), tumor‐necrosis‐factor‐alpha (p<0.001) and stress as measured by cortisol (p<0.001), with no differences in lean or obese. Blood glucose (p=0.002) and Insulin (p=0.028) increased with HIE. Interaction analysis for bodyweight and HIE revealed an increase in blood glucose (p=0.032) and insulin (p=0.042) in lean when compared to obese. The anorectic hormones, leptin, GLP‐1, PYY and CRP and biomarkers of inflammation and stress, CRP and cortisol, were not affected by HIE. Conclusion The suppression of appetite with HIE was similar in lean and obese boys and accompanied by a decrease of the orexigenic hormone active ghrelin and increased inflammation and stress responses. The relative role of each of these signals in the suppression of appetite with HIE remains to be determined. Support or Funding Information This project was funded by the Canadian Institutes of Health Research (CIHR).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.227
Teacher spread0.213 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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 routes3
Has abstractyes

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