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Record W7119599342 · doi:10.1002/alz70856_106937

The Impact of Early Life Bilateral Salpingo‐Oophorectomy on the Nucleus Basalis of Meynert

2025· article· en· W7119599342 on OpenAlexaffabout
Zaki Ul Haq, Noelia Calvo, Laura Gravelsins, Alana Brown, Sai Zhao, Nicole J. Gervais, Annie Duchesne, Shreeyaa Ramana, Natasha Rajah, Cheryl Grady, Gillian Einstein

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsMcGill UniversityWomen's College HospitalUniversity of Northern British ColumbiaBaycrest HospitalCentre for Addiction and Mental HealthUniversité du Québec à Trois-RivièresUniversity of Toronto
Fundersnot available
KeywordsNucleus basalisBasal forebrainCholinergic neuronCholinergicForebrainNucleus

Abstract

fetched live from OpenAlex

Abstract Background Alzheimer's disease (AD) disproportionately affects women. Women with early‐life bilateral salpingo‐oophorectomy (BSO) have a yet higher risk of late‐life AD. The cholinergic pathway in the basal forebrain, comprising cholinergic nuclei 1, 2, and 3 (Ch123) and the nucleus basalis of Meynert (NBM, i.e., Ch4), are sensitive to estradiol and its atrophy is a marker for AD risk. We wondered whether BSO‐mediated estradiol depletion would affect its structure thereby helping to elucidate these women's trajectory toward late‐life AD risk. Methods Participants included women with early BSO taking estradiol therapy (BSO ET ; n = 24, M±SD age at scan = 45.1±5.2), women with early BSO without ET (BSO; n = 27, M±SD age = 47.3±6.5) and age‐matched controls (AMC; n = 22, M±SD age = 44.0±5.5) from Toronto and Montreal, Canada. T1‐weighted MRI scans (Siemens Prisma/Philips 3T) were preprocessed using the Computational Anatomy toolbox (CAT12). Cholinergic volumes (Ch123, NbM) were identified using cytoarchitectonic probabilistic maps from the JuBrain Anatomy toolbox. Group comparisons were assessed using bivariate analysis (ANOVA, or X 2 ). Partial least squares correlation (PLSC) was then used to examine associations only in the women with BSO between basal forebrain volumes and BSO‐related variables (e.g., time since BSO, estradiol therapy) and hormone levels (estradiol, progesterone). Statistical strength of the model was assessed using resampling methods (permutation test and bootstrap). Results Groups did not differ significantly in age or education. Women with BSO ET had higher estradiol levels at scan (M±SD = 38.5±36.5) than AMC (36.2±28.1) and BSO (17.6±8.1). They also had higher progesterone levels at scan (BSO ET : M±SD = 8.0±17.0) than both groups (AMC: 3.3±5.8; BSO: 1.9±3.8). Bivariate analysis did not find significant differences in Cholinergic volumes among the three groups. However, exploratory PLSC of BSO groups identified one latent variable explaining 95.2% of the covariance ( p = 0.006) which linked older age at scan and more time since BSO (irrespective of estradiol therapy) to smaller NbM volumes bilaterally. Conclusion Preliminary findings suggest that aging and early‐BSO may influence basal forebrain structure. Future work should disentangle age/time‐since‐BSO from estradiol loss. It might also investigate further memory circuit disruption by examining surrounding cholinergic white matter pathways further identifying early AD biomarkers.

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)0.001
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
Metaresearch0.0000.001
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)0.0020.000

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 head0.041
GPT teacher head0.341
Teacher spread0.300 · 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 routes2
Has abstractyes

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