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Record W7119600082 · doi:10.1002/alz70856_107602

The interplay between orexin, neurodegeneration, cognition and sleep microarchitecture in mild to moderate Alzheimer's Disease

2025· article· en· W7119600082 on OpenAlexaff
Arsenio Páez, Gerard Piñol‐Ripoll, Shahla Bakian Dogaheh, Sam O Gillman, Farida Dakterzada, Anna Carnes, Barbé Ferran, Thien Thanh Dang‐Vu

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsConcordia UniversityInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsCognitionSleep (system call)DiseaseOrexinNeurodegenerationAlzheimer's diseaseEffects of sleep deprivation on cognitive performance

Abstract

fetched live from OpenAlex

BACKGROUND: Cerebrospinal fluid (CSF) orexin levels are higher in MCI and AD and associated with sleep deterioration, increasing risk of cognitive decline and Alzheimer's disease (AD) progression. Orexin-A is a key sleep-wake cycle regulator. Dual orexin receptor antagonists improve sleep in AD and insomnia and may reduce tau and Aβ deposition in older adults. However, little research has investigated associations between sleep microarchitecture, orexin, neurodegeneration biomarkers, cognitive decline, or mental health in AD. METHODS: Using data from a prospective cohort study of mild-to-moderate AD (n = 60, 30-female, mean age-74.7), we analysed non-REM sleep spindles, slow oscillations (SO), and their associations with CSF orexin, AD biomarkers, cognition, and mental health over three years. Participants underwent polysomnography (PSG) and CSF draws at baseline, neuropsychological assessment with the Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) and Neuropsychiatric Inventory (NPI) at baseline and 12 months, and Mini-Mental Status Examination (MMSE) at baseline, 12, 24, and 36 months. PSG was scored along American Academy of Sleep Medicine guidelines. Spindle and SO detection were performed using in-house, open-source software packages developed at Concordia University, following Moelle (2011) recommendations for spindles and Staresina's (2015) recommendations for SO. Associations between SO and spindle characteristics (duration, density, power, amplitude) and orexin, Aβ42 and tau at baseline, and baseline orexin and cognition from baseline to 36 months were investigated with false discovery rate-adjusted generalised linear models, controlling for age, sex, apnea-hypopnea index. RESULTS: We found previously unreported, predictive associations between SO, duration, density, amplitude, and CSF orexin. Orexin also predicted increased ptau181, total-tau, ptau/Aβ42, total-tau/Aβ42. Increased orexin predicted worse cognitive performance (higher ADAS-cog, lower MMSE) from baseline to 36-months and increased neuropsychiatric symptom severity (NPI) from baseline to 12 months. Orexin also moderates relationships between spindles, SO, cognition, and mental health. CONCLUSIONS: Orexin levels are associated with neurodegeneration biomarkers and cognitive deterioration in AD and moderate relationships between sleep microarchitecture and cognitive changes over time. Orexin may thus constitute a potential target for sleep-related interventions for cognition in neurodegenerative disorders.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.033
GPT teacher head0.321
Teacher spread0.288 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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