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Cytokine Response to Resistance Exercise in Children with Excess Fat and Prader-Willi Syndrome

2024· article· en· W4398175418 on OpenAlexaff
Vincent Vuong, Andrea M. Haqq, Daniela A. Rubin

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCytokineResistance trainingMedicineEndocrinologyInternal medicineImmunologyPhysiologyBiology

Abstract

fetched live from OpenAlex

Background: Tumor necrosis factor alpha (TNF-α) is a proinflammatory cytokine that is secreted from adipose tissue and macrophages; interleukin-6 (IL-6), secreted from adipose tissue, macrophages and skeletal muscle, has both proinflammatory and anti-inflammatory properties. Previous research showed excess adiposity leads to an increased concentration of both cytokines at rest while there is limited research on resistance exercise. Purpose: To compare IL-6 and TNF-α responses to resistance exercise in children with Prader-Willi Syndrome (PWS), a genetic cause for obesity, vs. children with normal fat mass (lean), or excess body fat (obesity) Methods: Nine children with PWS (11.4 ± 3.3 years, 45.6 ± 5.2% body fat), 11 lean children (9.2 ± 1.4 years, 18.6 ± 5.0% bodyfat), and 12 children with obesity (9.6 ± 1.3 years, 40.4 ± 5.4% body fat) participated. Children stepped onto an elevated platform wearing a weighted vest for 6 sets of 10 repetitions per leg (sets separated by 1 min of rest). Children with PWS, stepped to a platform height of 23.0 cm and wore a vest load that was computed as (20% of stature* 50% of lean body mass)/23.0 cm. For the controls, the platform height was 20% of the stature and the vest load was 50% of the lean body mass. Blood samples were obtained before (pre), immediately after (post), and during recovery from exercise (+15 and +60 min). Areas under the curve (AUC) were computed for IL-6 and TNF-α. Results: There was no group by time interaction for IL-6 ( p=0.378) but a group effect ( p=0.011) and a time effect ( p<0.001). Pairwise comparisons showed 60+ (1.065 ± 0.10 pg/mL) was higher than pre (0.660 ± 0.05 pg/mL), post (0.728 ± 0.06 pg/mL), and +15 (0.764 ± 0.066 pg/mL), p<0.001 for all. Children with PWS and children with obesity had higher IL-6 concentrations than lean children (0.943 ± 0.12 pg/mL and 0.951 ± 0.10 pg/mL vs. 0.519 ± 0.11 pg/mL, p≤0.038 for both). For TNF-α, there were no group by time interaction, time or group effects ( p≥0.420 for all). IL-6 AUC ( p=0.013) but not TNF-α AUC ( p=0.404) were different between groups. Children with PWS and children with obesity showed a higher IL-6 AUC than lean children (85.106 ± 41.81 pg/mL, 86.796 ± 33.60 pg/mL vs. 47.611 ± 21.00 pg/mL, p≤ 0.041 for both). Conclusion: There were no differences in IL-6 or TNF-α responses to exercise based on having PWS or having excess body fat in children. However, excess body fat was associated with higher IL-6 concentration and AUC. Peak concentrations for IL-6 were observed at 60 minutes after exercise similar to other studies. Potentially, IL-6 concentrations immediately post-exercise were not elevated because the exercise protocol was not of high intensity or long enough. Study funded by the US Army Medical Research and Material Command Contract W81XWH-08-1-0025 (DAR). This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.690

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.294
Teacher spread0.280 · 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 teacher head, 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".

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Citations1
Published2024
Admission routes1
Has abstractyes

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