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Record W4415199614 · doi:10.1093/braincomms/fcaf404

Apolipoprotein E gene allele 4 and amyloid-beta mediate tau-related network breakdown

2025· article· en· W4415199614 on OpenAlexfundno aff
Fardin Nabizadeh

Bibliographic record

VenueBrain Communications · 2025
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchNational Institutes of HealthGenentechIXICOH. Lundbeck A/SServierEisaiNorthern California Institute for Research and EducationPfizerNovartis Pharmaceuticals CorporationUniversity of Southern CaliforniaBiogenEli Lilly and CompanyBristol-Myers SquibbBioClinicaU.S. Department of DefenseAlzheimer's Disease Neuroimaging InitiativeMeso Scale DiagnosticsNational Institute on AgingAlzheimer's Association
KeywordsApolipoprotein EAlleleGeneImaging geneticsPathologicalDiseaseNeuroimaging

Abstract

fetched live from OpenAlex

There have been reports of altered functional connectivity in Alzheimer's disease, which is associated with the buildup of pathogenic proteins in the brain, including neurofibrillary tau tangles and amyloid-beta plaques. It is believed that the tau aggregates are the main driver of functional disconnection and resulted in cognitive decline in Alzheimer's disease. Tau propagates through connected neurons, a phenomenon often described as the 'prion-like' properties of tau, which can locally result in functional connectivity disruption. Apolipoprotein E gene allele 4 status and amyloid-beta are accelerating factors for tau-related pathological changes in Alzheimer's disease. However, the potential role of apolipoprotein E gene allele 4 and amyloid-beta in mediating the tau-related functional disconnection is not clear. I aimed to investigate the mediating effect of apolipoprotein E gene allele 4 and amyloid-beta on the local association of tau spreading on functional connections. I analysed follow-up resting-state functional MRI (fMRI) (non-baseline visit) and longitudinal tau-PET data from 211 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database and 138 healthy elderly individuals from the Harvard Aging Brain Study (HABS). The follow-up resting-state fMRI (non-baseline visit) was studied in order to study the time needed effect of tau pathology. The top 10 regions with the highest probability-weighted SUVR values using Gaussian mixture models were selected as individual-level tau-PET epicentres. I looked at how the relationship between functional connectivity to epicentres and individualized connectivity-related tau spreading was mediated by amyloid-beta status and the apolipoprotein E gene allele 4 genotype. Higher rates of tau aggregation accumulation were seen in areas with stronger connectedness (shorter distance-based connectivity) to the baseline-defined tau epicentres. Moreover, the association between functional connectivity to epicentres and tau spreading through functional connections was mediated by apolipoprotein E gene allele 4 and amyloid-beta status in both dataset's participants. Tau aggregates spread through functional connections and locally disrupt connectivity between tau epicentre and non-epicentre regions, which is mediated in apolipoprotein E gene allele 4 carriers and amyloid-beta-positive participants. These findings have implications for trial designs, proposing that apolipoprotein E gene allele 4 carriers and amyloid-beta-positive participants might need earlier intervention to attenuate tau spreading and tau relative functional disconnection.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.794
Threshold uncertainty score0.548

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.026
GPT teacher head0.330
Teacher spread0.304 · 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.

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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