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The Effect of Increasing Levels of Hyperthermia on Autophagy in Peripheral Blood Mononuclear Cells from Young Adults

2022· article· en· W4225379937 on OpenAlexafffund
James J. McCormick, Kelli E. King, Morgan K. McManus, Nicholas Goulet, Naoto Fujii, Glen P. Kenny

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPeripheral blood mononuclear cellAutophagyPeripheral bloodPeripheralHyperthermiaMedicineImmunologyChemistryInternal medicineApoptosisIn vitroBiochemistry

Abstract

fetched live from OpenAlex

Exposure to an elevated state of hyperthermia is associated with heat‐induced cytotoxicity, thereby resulting in impaired cellular function. Cellular dysfunction during heat stress leads to the initiation of systemic inflammation and apoptotic cell death, which if left unabated, can cause tissue damage and death. To counter heat‐induced cellular injury, cells employ the vital mechanism of autophagy which acts to prevent the accumulation of toxic protein aggregates and dysfunctional organelles to promote cellular survival. In our recent ex vivo model, we demonstrated that the process of autophagy is activated during exposure to increased temperatures (37‐41°C) in peripheral blood mononuclear cells (PBMCs) from young adults which acts to suppress heat‐induced apoptotic cell death. Despite this, the dose‐dependent autophagic response to heat stress has yet to be evaluated in an in vivo human model and thus the relationship between elevations in core body temperature (T core ) and autophagy have yet to be established in humans. Therefore, we sought to extend upon our previous work by assessing if in vivo rises in T core are associated with greater autophagic activation in healthy young adults. We evaluated the hypothesis that in parallel to elevations in T core (indexed by esophageal temperature), greater autophagic initiation would occur in a dose‐dependent manner in young adults during immersion in mild to very warm water. To assess this hypothesis, on separate days 6 young adults (mean [SD] 22 [3] years; 3 women) were immersed (up to the clavicle) in water set at a temperature to clamp T core at either thermoneutral (TN, 37°C), 38°C, or 39°C for 60‐min. Autophagy was characterized in PBMCs prior to and immediately post‐water immersion, as well as following 3‐h of seated recovery. Western blot was used to assess autophagy proteins microtubule associated protein 1 light chain 3 beta (LC3)‐II and sequesterome‐1/p62 (p62). All proteins were normalized to β‐actin and reported as fold change relative to baseline. Data were compared via a two‐way repeated measures ANOVA with Fisher’s LSD (α=0.05). No changes in either LC3‐II or p62 were observed during TN, indicating no time‐dependent changes in autophagy (all p≥0.28). Immediately following the 38°C clamp, LC3‐II increased (1.56 [0.32]; p=0.02) and p62 decreased (0.52 [0.30]; p=0.049) from baseline, with both proteins returning to basal levels within 3‐h (both, p≥0.22). Similarly, LC3‐II increased (1.90 [0.70]; p=0.04) and p62 decreased (0.58 [0.21]; p=0.03) immediately after clamping T core at 39°C, however LC3‐II remained elevated above baseline at 3‐h (2.54 [1.08]; p=0.03) while p62 did not differ from pre‐immersion levels at the end of recovery (p=0.57). Given LC3‐II accumulation and p62 degradation indicate elevated autophagy, our preliminary findings indicate greater autophagy during increasing levels of hyperthermia in healthy young adults. Further, we showed increased reliance on autophagy to restore cellular homeostasis after exposure to an elevated state of hyperthermia of 39°C, although the mechanism of activation is unclear.

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 score0.001
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 head0.008
GPT teacher head0.235
Teacher spread0.228 · 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".

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Citations2
Published2022
Admission routes2
Has abstractyes

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