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The Long‐Term Effects of Exercise Mitigate Deleterious Healthspan Changes and Cancer Incidence in Mice Following Diet‐Induced Obesity and Radiation Exposure

2020· article· en· W3017230348 on OpenAlexaffabout
Eadan Farber, Matthew Ngu, Dejan Bojic, Paul Akohene-Mensah, Jessica Lloyd, Jillian Larkin, Michael De Lisio

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicDietary Effects on Health
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineCancerObesitysedIncidence (geometry)PopulationPhysiologyInternal medicineRadiation therapyIonizing radiationEnvironmental health

Abstract

fetched live from OpenAlex

There are nearly 16 million cancer survivors living in the United States today, with two‐thirds of them having received radiation therapy as part of their treatment. Furthermore, there is a concurrent increase in obesity and physical inactivity among this population. Combined with the effects of ionizing radiation (IR), these host factors are increasing the risk of secondary, treatment‐induced cancers and may contribute to poor healthspan outcomes in cancer survivors. As such, a critical need exists to develop a better understanding of how these host factors interact with radiation exposure, such that we can provide cancer survivors with better lifestyle recommendations to enhance their overall quality of life and decrease their secondary cancer risk. Male CBA mice were randomly divided into a control diet group (CTRL) or a 45% high fat diet group (HFD) to induce obesity. At nine weeks of age, half of the mice in each dietary group began a treadmill exercise training intervention (EX), or remained sedentary (SED), and were then all exposed to ionizing radiation (3 Gy) at 13 weeks of age. Healthspan was measured in each group at 17 months of age by assessing: endurance performance, metabolic and locomotor activity, depression‐like behaviour, forelimb grip strength and plasma clinical chemistry. Endurance performance was significantly greater in CTRL/EX compared to both HFD groups 5 days pre‐IR and compared to both SED groups 5 months post‐IR (both p<0.05). Metabolic analysis revealed a significant increase in the respiratory exchange ratio in CTRL compared to HFD mice (p<0.05), but there were no significant differences in O 2 consumption, CO 2 , or heat production (p>0.05). There was also a trend for an increase in locomotor activity in the CTRL/EX compared to CTRL/SED group during their light and dark cycle (p = 0.06 and p = 0.108, respectively). Further, there was a significant decrease in depression‐like behaviour among HFD compared to CTRL mice, and EX compared to SED mice (p<0.05), as well as a significant decrease in forelimb grip strength normalized to body weight among HFD compared to CTRL mice (p<0.05). Additionally, there was a significant increase in total cholesterol levels among HFD compared to CTRL mice (p<0.05). Interestingly, the CTRL/EX and HFD/EX groups had a 20% decrease in cancer incidence compared to the HFD/SED group, and EX mice had a 17.5% decrease in cancer incidence compared to SED mice, independent of diet (both p>0.05). Our current findings suggest that long‐term exercise and dietary interventions should be implemented in cancer survivors exposed to radiation therapy in order to improve healthspan and potentially protect against secondary cancer incidence. Support or Funding Information The American Institute of Cancer Research (AICR), The Natural Sciences and Engineering Research Council of Canada (NSERC), and 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 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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.329

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.017
GPT teacher head0.286
Teacher spread0.269 · 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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Citations0
Published2020
Admission routes2
Has abstractyes

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