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Record W4414193935 · doi:10.1101/2025.09.09.674331

Resynchronization of the biological clock using exposure to low oxygen levels in humans: an exploratory study

2025· preprint· en· W4414193935 on OpenAlexaff
Renée Morin, Geneviève Forest, Kim Isabelle Nolet, Vincent Bourgon, Félix-Gabriel Duval, Jean‐François Mauger, Pascal Imbeault

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldMedicine
TopicHealthcare Technology and Patient Monitoring
Canadian institutionsUniversity of OttawaUniversité du Québec en Outaouais
Fundersnot available
KeywordsCircadian rhythmMelatoninChronobiologyFree-running sleepCrossover studyCircadian clockHypoxia (environmental)

Abstract

fetched live from OpenAlex

Introduction Circadian desynchronization, evident in scenarios such as jet lag, shift work, and circadian rhythm sleep disorders, detrimentally affects sleep quality and overall health, both acutely and chronically. Aligning the circadian system with environmental time cues is therefore essential for maintaining physiological and psychological well-being. While luminotherapy and melatonin supplementation are widely used to facilitate circadian realignment, emerging evidence suggests that fluctuations in oxygen levels may also help in circadian realignment. However, the effect of hypoxia on the synchronisation of the circadian clock in humans remains largely unexplored. Methods Using a randomized controlled crossover study design, 11 healthy participants (6 men, 5 women, mean age 23.3 +/- 1.9 years) completed one baseline condition and two 48-h experimental conditions. The baseline condition (BL) was used to establish circadian markers. Both experimental conditions simulated a phase advance of 4 hours. In condition 1 (Hypo), participants underwent a 2-hour normobaric hypoxic exposure (FiO2 = 12%), starting 2 h after habitual wake time. In condition 2 (Lum+Mel), participants received a 3-hour luminotherapy session (500 nm, 506 lux) at the same time point, combined with 5 mg of exogenous melatonin administered 6 hours before usual bedtime. Salivary melatonin levels were measured in each phase of the study to assess circadian phase shifts. Data were analyzed using linear mixed models. Results Salivary melatonin levels increased progressively over time in all conditions (p < 0.001), with significant differences observed between experimental conditions (p < 0.001), but no interaction effect (p = 0.854). Exposure to hypoxia significantly reduced oxyhemoglobin saturation (p < 0.05) and increased heart rate and subjective symptoms of fatigue. In terms of circadian phase, the dim light melatonin onset (DLMO) occurred 1.30 hour (78 minutes) earlier in the Lum+Mel condition compared to baseline (p=0.001). In the hypoxia condition, the DLMO occurred on average 0.58 hour (34.8 minutes) earlier than baseline, but this change did not reach statistical significance (p=0.156). Conclusions This study provides preliminary evidence that normobaric hypoxia may modestly advance the human circadian phase, although not to a statistically significant extent. In contrast, combined phototherapy and melatonin administration produced a robust and significant phase advance in salivary melatonin onset. These findings suggest that while hypoxia may influence circadian timing, established interventions like light and melatonin remain more effective for circadian realignment. Further research is warranted to elucidate the mechanisms and optimize the application of hypoxia in circadian modulation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.317
Teacher spread0.242 · 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 teacher head, not a consensus.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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