MétaCan
Menu
Back to cohort

Preliminary Observations on the use of Short‐term Ambient Cooling during a Day‐long Extreme Heat Exposure on Autophagy in Older Adults

2021· article· en· W3166259421 on OpenAlexafffund
James J. McCormick, Robert D. Meade, Kelli E. King, Sean R. Notley, Ashley P. Akerman, Glen P. Kenny

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicHydrogen's biological and therapeutic effects
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsAutophagyMedicinePeripheral blood mononuclear cellHeat stressPhysiologyCore (optical fiber)Internal medicineImmunologyBiologyMaterials scienceAnimal scienceIn vitroApoptosis

Abstract

fetched live from OpenAlex

Aging is associated with impairments in autophagy, which is an integral cellular survival mechanism. Our ongoing work indicates that heat stress may worsen this age‐related impairment after a daylong (9‐hour) passive heat exposure (40°C) as assessed in peripheral blood mononuclear cells (PBMC). This was paralleled by a greater elevation in body core temperature in older compared to young adults, which together with diminished autophagy, may contribute to compromised health during extreme heat events (EHE). National and international health agencies widely recommend the use of short‐term ambient cooling (STAC; e.g., visiting a cooling center) to protect the health of vulnerable individuals during an EHE; however, its effects on body core temperature and autophagic function are currently unclear. We therefore sought to extend upon our previous work by assessing if STAC would mitigate rises in body core temperature, and thus, the heat‐related decline in autophagy in older adults during a simulated EHE. We evaluated the hypothesis that in parallel to a reduction in body core temperature, autophagy would be preserved in PBMCs from older adults exposed to STAC during the EHE when compared to those without access to a cool room. To assess this hypothesis, as part of a larger study evaluating thermal strain in older adults, autophagy was characterized in PBMCs of 7 older adults (mean [SD] 71 [5] years; 3 women) prior to and following a 9‐h heat exposure (40°C, ~15% relative humidity [RH]), with 2 h of exposure to a cool room (~23ºC; STAC) for hours 5 and 6. Responses were compared with 10 older adults (71 [3] years; 2 women) who had previously participated in a prolonged 9‐h exposure to an EHE (40°C, ~15% RH). Changes in autophagy were assessed via Western blot for autophagy‐related proteins p62 and microtubule associated protein 1 light chain 3 beta (LC3)‐II. All proteins were normalized to β‐actin and reported as fold changes relative to their respective baseline. Rectal temperature (T re ) was measured throughout and expressed as a change from baseline. Data were compared between‐groups using unpaired t‐tests (α=0.05). Following the first 4 h of heat exposure, T re did not differ between groups (both ~0.9 [0.3]°C; p>0.99), although following STAC (hour 6) T re was lower (by 0.8 [0.4]°C; p<0.001) than the non‐cooled group. Again, however, no significant difference between groups was observed at the end of the 9‐h exposure (both ~0.9 [0.2]°C; p>0.99). Despite this, p62 protein at end‐exposure (9 h) was lower in the STAC group when compared to the non‐cooled group (0.78 [0.51] vs. 2.57 [2.19]; p=0.03) and this was accompanied by a reduction in LC3‐II (0.72 [0.33] vs. 2.13 [1.83]; p=0.04). Given, LC3‐II and p62 undergo lysosomal degradation (indicative of normal autophagic function), our preliminary findings indicate STAC may reduce the time spent in a hyperthermic state, thereby preserving autophagy during a simulated EHE in older adults. Further work is required to evaluate if alternate cooling strategies (i.e., fan use) can preserve autophagic function in older adults during prolonged heat stress.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.086
GPT teacher head0.273
Teacher spread0.187 · 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

Citations2
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB JournalSame topicHydrogen's biological and therapeutic effectsFrench-language works237,207