MétaCan
Menu
← Back to cohort

Prolonged Low‐ to Moderate‐Intensity Exercise Improves Metabolic and Oxidative Profiles in Healthy Adults

2018· article· en· W3173808478 on OpenAlexaff
Dominique D. Gagnon, Sandra C. Dorman, Stephen D. Ritchie, Shivaprakash Jagalur Mutt, Ville Stenbäck, Jerek Walkowiak, Karl‐Heinz Herzig

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsLaurentian University
FundersOulun Yliopisto
KeywordsOxidative stressInternal medicineMedicineEndocrinologyCreatinineTelomereAgeingPhysiologyChemistryBiochemistry

Abstract

fetched live from OpenAlex

Background Oxidative stress results in cellular lipid, protein and DNA oxidation as well as overall metabolic dysfunction. This may result in chromosomal damage, telomere erosion, and accelerated cellular aging. Long‐term participation in physical activity promotes healthy metabolic and oxidative profiles whereas the effects of prolonged and continuous exercise, are unknown. Therefore, this study investigated the effects of prolonged exercise on oxidative and metabolic stress as well as cellular ageing in healthy adults participating in multi‐day wilderness expedition. Methods Twenty‐seven people participated in the study. Sixteen went on a 14‐day, 260‐km wilderness canoeing expedition (12 males) (E) (24 ± 7 yrs, 72 ± 6 kg, 178 ± 8.0 cm, 18.4 ± 8.4 %BF, 47.5 ± 9.3 mlO 2 ·kg −1 ·min −1 ), requiring 6–9 hrs of low to moderate exercise daily. Eleven acted as controls (7 males) (C) (31 ± 11 yrs, 72 ± 15 kg, 174 ± 10 cm, 22.8 ± 10.0 %BF, 47.1 ± 9.0 mlO 2 ·kg −1 ·min −1 ). Blood sample collection was completed before and after the expedition. ANCOVA analyses, with age, gender, fitness, and baseline values as covariates, were performed on serum metabolic, hormonal and oxidative variables while telomere length was isolated from blood mononuclear cells. Results Serum total cholesterol, high‐ and low‐density lipoprotein, testosterone, insulin, sodium, potassium, urea and chloride concentrations were not different between groups. Serum triglycerides (TG), glucose (GLU), and creatinine (CR) levels were all lower following the expedition (TG, E: 69 ± 18 vs. C: 106 ± 45 mg·dL −1 ; p = 0.002: GLU, E: 86.2 ± 5.4 vs. C: 95.8 ± 8.8 mg·dL −1 ; p < 0.001: CR E: 0.89 ± 0.13 vs. C: 0.96 ± 0.16 mg·dL −1 ; p < 0.001). Oxidative stress, as assessed via malondialdehyde (MDA) was unaffected (E: 4.2 ± 1.3 vs. C: 4.1 ± 0.7 μM; p > 0.05) but superoxidase dismutase activity (SOD), representative of antioxidant activity, was greater in the expedition group (E: 3.1 ± 0.4 vs. C: 0.8 ± 0.5 U·ml −1 ; p < 0.001). Telomere length, as a cellular sign for stress and senescence, was unchanged (E: 1.00 ± 0.48 vs. C: 0.89 ± 0.28 TS ratio; p = 0.77). Conclusion These results indicate a modest improvement in metabolic and oxidative profiles following 14 days of low to moderate exercise in healthy young individuals. The observed changes in SOD suggest a stronger cellular protective response from antioxidants to counteract the exercise‐associated production of pro‐oxidant free radicals and reactive oxygen species during prolonged low‐moderate physical loading. Although improved antioxidant activity may lead to increased telomere length, it seems that the present exercise stimulus was insufficient to promote a positive cellular aging profile with concordant chromosomal changes in our young participants. Support or Funding Information The work was supported by a Laurentian University Research Fund grant and a travel grant from the University of Oulu This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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: Observational
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 head0.010
GPT teacher head0.247
Teacher spread0.237 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicMuscle metabolism and nutrition→French-language works237,207→