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Record W4406854298 · doi:10.1139/apnm-2024-0368

Effects of daylong exposure to indoor overheating on enterocyte damage and inflammatory responses in older adults: a randomized crossover trial

2025· article· en· W4406854298 on OpenAlexafffundvenue
Ben J. Lee, Robert D. Meade, Sarah Davey, Doug Thake, James J. McCormick, Kelli E. King, Glen P. Kenny

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersCanadian Institutes of Health ResearchHealth Canada
KeywordsEnterocyteMedicineCrossover studyOverheating (electricity)Randomized controlled trialInternal medicinePathology

Abstract

fetched live from OpenAlex

We evaluated enterocyte damage (IFABP), immune activation (sCD14), and inflammatory responses (TNF-α, IL-6, CRP) in 16 older adults (66–78 years) during 8 h rest in conditions simulating homes maintained at 22 °C (control), the 26 °C indoor temperature upper limit proposed by health agencies, and homes without air-conditioning during heatwaves (31 °C, 36 °C). Relative to 22 °C, IFABP was elevated ∼181 pg/mL after exposure to 31 °C ( P = 0.07), and by ∼378 pg/mL ( P < 0.001) after exposure to 36 °C. No differences were observed for sCD14, TNF-α, IL-6, or CRP (all P ≥ 0.26). Our data support recommendations to maintain indoor temperatures ≤ 26 °C to preserve gastrointestinal barrier integrity in heat-vulnerable persons.

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)0.002
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.270
Teacher spread0.262 · 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 designRandomized trial
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

Citations4
Published2025
Admission routes3
Has abstractyes

Explore more

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