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The Autophagic Response to Passive and Exercise‐induced Increases in Body Core Temperature in Young Adults

2022· article· en· W4225424935 on OpenAlexafffund
Morgan K. McManus, James J. McCormick, Kelli E. King, Nicholas Goulet, Glen P. Kenny

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCore temperatureCore (optical fiber)AutophagyMedicineChemistryInternal medicineMaterials scienceComposite material

Abstract

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Autophagy is an essential cellular survival mechanism that involves the degradation and recycling of aged or damaged organelles and protein aggregates to maintain cellular homeostasis. While autophagic dysfunction occurs with aging and is associated with many disease‐related pathologies, methods to modulate autophagic activity remain poorly understood in the context of human physiology. Recently, we demonstrated that autophagy is activated in an intensity‐dependent manner during both exercise and passive heat stress, however it is unknown if the autophagic response to elevations in body core temperature (T core ) during passive heat exposure are comparable to those elicited through exercise. Therefore, we sought to assess the autophagic response to an elevated state of hyperthermia associated with intense exercise and compare responses to a similar rate and magnitude of increase in T core elicited through warm water immersion (WI). We evaluated the hypothesis that autophagic stimulation would occur during both exercise and WI, although responses would be greater during the exercise bout. To assess this hypothesis, 6 young men (mean [SD] 23 [3] years) performed 30 min of intense (70% of maximal oxygen consumption (VO 2max )) semi‐recumbent cycling. On a separate day (at least 72h after the exercise bout), the same participants were immersed in warm water (up to the clavicle) for 30 min, with the water temperature adjusted to elicit the same relative increase in T core (as estimated by rectal temperature) as was achieved during the prior exercise session. Given T core during WI was matched to the prior exercise bout, all WI trials were conducted after the exercise session. Autophagic activity was assessed in peripheral blood mononuclear cells prior to, immediately post‐exercise or WI, and following a seated recovery (3 and 6h). Western blot was used to assess changes in autophagy via microtubule‐associated light chain 3 beta (LC3‐II) and normalized to β‐actin (expressed as relative fold change to the respective baseline). Area under the curve was used to assess the T core response between conditions and protein data were analyzed via a two‐way repeated measures ANOVA with Fisher’s LSD (α=0.05). A similar average relative increase in T core was observed during the exercise and WI bouts (0.65 [0.21]°C vs 0.61 [0.19]°C, respectively; p=0.80) with a return to baseline within 3h in both conditions. In response to 30‐min of exercise, LC3‐II significantly increased immediately after exercise (1.69 [0.12]; p<0.01) and remained elevated above baseline at 3h (1.51 [0.23]; p<0.01) and 6h (1.38 [0.16]; p<0.01). A similar pattern of response was observed following WI (1.86 [0.77]; p=0.04), however, LC3‐II returned to pre‐WI levels within the first 3h of recovery. Our preliminary findings show similar increases in autophagy following a similar elevation in core temperature associated induced by exercise and WI. However, the autophagic response only remained elevated after exercise, likely caused by exercise‐associated metabolic perturbations. Further research is warranted to delineate the underlying pathways of autophagic activation during these different thermal stressors.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.012
GPT teacher head0.268
Teacher spread0.256 · 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 designBench or experimental
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
Published2022
Admission routes2
Has abstractyes

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