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Autophagy and Heat Shock Responses in Human Peripheral Blood Mononuclear Cells During Physiologically Relevant Heat Stress Conditions

2020· article· en· W3016436836 on OpenAlexaffabout
Kelli E. King, James J. McCormick, Melissa D. Côté, Morgan K. McManus, Serena Topshee, Glen P. Kenny

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAutophagyHeat shock proteinPeripheral blood mononuclear cellHsp70Heat shockProtein aggregationCell biologyWestern blotShock (circulatory)HyperthermiaChemistryIn vitroImmunologyBiologyMedicineBiochemistryInternal medicineGeneApoptosis

Abstract

fetched live from OpenAlex

When exposed to stress caused by elevated internal body temperatures, proteins become denatured or misfolded, leading to toxic protein aggregation. To protect the cell under heat stress, misfolded proteins are tagged or refolded by heat shock proteins (HSP). Under conditions of extreme heat stress, the process of autophagy has previously been shown to protect human cells, but the exact temperatures at which autophagic activation occurs is largely unknown. Further, the interplay of HSP and autophagy responses as a function of increasing levels of hyperthermia have yet to be examined. Thus, the purpose of this study was to examine threshold changes in the autophagy and heat shock response to increasing levels of in vitro heat stress characteristic to physiologically relevant temperature conditions representative of normal (37°C), moderate (39°C), and severe (41°C) heat stress conditions in humans. We hypothesized that autophagy and HSP responses in human peripheral blood mononuclear cells (PBMCs) would increase in a dose‐dependent manner to heat stress in young adults. To test our hypothesis, whole blood was collected from 20 young (23±4 years; 10 women) participants. PBMCs were isolated immediately (baseline) and after 90‐min of whole‐blood heating in 37, 39, and 41°C water baths. Using western blot and qRT‐PCR techniques, the interplay of autophagy and HSP was characterized through measurements of microtubule associated protein 1 light chain 3 beta (LC3B), p62/sequesterome‐1 (p62), and heat shock protein 70 (HSP70) proteins and their associated genes. All values are reported as fold‐change relative to baseline values after being normalized to β‐actin. Statistical analysis was completed using a one‐way repeated measures ANOVA to asses fold change in proteins and genes between each heat condition. In the simulated thermoneutral conditions of 37°C, increased autophagic activity was demonstrated only through decreased levels of p62 protein (0.73±0.40, p<0.01) but no significant changes (p>0.05) in protein synthesis and gene expression in HSP70 (1.11±0.29) or LC3B (0.87±0.34) were observed. Subsequently, responses of HSP and autophagy increased at moderate heat stress (39°C) with increased p62 (2.31±2.02, p<0.01) and LC3B gene expression (1.86±1.21, p<0.01), an increased protein response in HSP70 (1.19±0.37, p=0.03), a decreased protein response in p62 (0.66±0.29, p<0.01), and no significant protein response in LC3B (1.04±0.24, p>0.05). At the highest level of heat stress (41°C), increases in protein synthesis and gene expression were observed in HSP70 (1.38±0.49, 2.77±2.15 respectively; all p<0.01) and LC3B (1.39±0.57, 2.32±1.80 respectively; all p<0.01) concomitant with decreased p62 protein synthesis (0.73±0.28, p<0.01) indicating an increase in the HSP response and autophagic flux. Taken together, our findings demonstrate that in human PBMCs, the HSP and autophagy systems work synergistically in responding to increases in the level of heat stress occurring within the human system. Support or Funding Information Canadian Institutes of Health Research

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 score0.003

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 head0.019
GPT teacher head0.278
Teacher spread0.260 · 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".

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Citations2
Published2020
Admission routes2
Has abstractyes

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