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Record W7119489941 · doi:10.1002/alz70856_107451

<i>APOE</i> 4 modifies the association between sleep apnea, inflammation, and tau pathology in older women

2025· article· en· W7119489941 on OpenAlexaboutno aff
Kitty K. Lui, Xin Wang, Ella T. Lifset, Nadine Heyworth, Breanna Holloway, Pamela N DeYoung, Atul Malhotra, Sarah J Banks

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsnot available
Fundersnot available
KeywordsPathologicalObstructive sleep apneaBody mass indexInflammationDiseaseCognitive impairmentSleep apneaSleep (system call)

Abstract

fetched live from OpenAlex

Abstract Background Obstructive sleep apnea (OSA) is thought to elevate Alzheimer's disease (AD) risk, possibly through an inflammatory mechanism. This may be particularly relevant for older women, who are underdiagnosed for OSA, express higher inflammatory responses and accumulate greater pathological tau in early AD stages than older men. APOE 4 seems to worsen OSA's impact on AD risk; however, findings are mixed. This study examined APOE 4's moderating role in how OSA symptoms relate to inflammation and tau pathology among older women with OSA from the Women: Inflammation and Tau Study (WITS). Method WITS recruits older women with mild cognitive impairment on the telephone Montreal Cognitive Assessment and elevated AD polygenic hazard scores and/or family history of dementia. Participants included 43 women (aged:71.9±4.1 years) with cerebrospinal fluid‐derived inflammatory markers (IL‐1β, IL‐6, and TNF), MK‐6240 tau PET data from a composite meta‐temporal region of interest and the following OSA characteristics from a home sleep test: apnea‐hypopnea index (AHI) and oxygen desaturation index (ODI). Following clinical guidelines, OSA was diagnosed with AHI≥5/hr. In women with OSA, multiple regression models analyzed OSA characteristics× APOE4 interactions on inflammatory markers and tau standardized uptake value ratio, controlling for age and body mass index (BMI). Result 29 women met OSA diagnosis (67%) with 27 unaware of this at screening (Table 1). In women with OSA, AHI and ODI significantly interacted with APOE 4 to predict CRP ( p s<0.04), whereby greater OSA severity related to elevated CRP levels in APOE 4 carriers (AHI: p <0.05; ODI: p = 0.07). However, in non‐carriers, higher AHI was associated with lower CRP ( p = 0.04), while ODI was not associated with CRP ( p = 0.24; Figure 1). Further, AHI and ODI significantly interacted with APOE4 status to predict tau ( p s<0.04), such that greater OSA severity related to higher tau burden in only APOE 4 carriers ( p s<0.04) (Figure 2). There were no significant OSA severity× APOE 4 interactions nor main effects of OSA severity on other inflammatory markers. Conclusion In women with OSA, APOE 4 interacts with OSA severity to potentially precipitate a stronger inflammatory response and higher tau burden. Early diagnosis and treatment of OSA might mitigate AD risk, especially for older female APOE 4 carriers.

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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.282
Teacher spread0.268 · 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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