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Record W4246680161 · doi:10.1016/j.jalz.2016.06.1298

P2‐093: Polymorphism in Cytochrome P450 Gene is Associated with Alzheimer’s Pathology

2016· article· en· W4246680161 on OpenAlexaff
Andréa Lessa Benedet, Lei Yu, Aurélie Labbe, Sulantha Mathotaarachchi, Monica Shin, Tharick A. Pascoal, Min-Su Kang, Thomas Beaudry, Serge Gauthier, David A. Bennett, Pedro Rosa‐Neto

Bibliographic record

VenueAlzheimer s & Dementia · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiological Research and Disease Studies
Canadian institutionsMcGill University Health CentreDouglas Mental Health University InstituteDouglas CollegeMcGill University
Fundersnot available
KeywordsGeneCytochrome P450Polymorphism (computer science)BiologyGeneticsPathologyMedicineGenotypeEnzymeBiochemistry

Abstract

fetched live from OpenAlex

The cytochromes P450 (CYP) are known for their role in metabolizing several endogenous and exogenous substrates. In the brain, they modulate blood-flow regulation, metabolize cholesterol, and participate in neuroinflammatory processes. CYP activity is also implicated in Alzheimer’s disease (AD), particularly in amyloid-β (Aβ) accumulation in CSF. We examined whether genetic polymorphisms of CYP are associated with AD pathology. [18F]florbetapir-PET imaging was employed to assess brain Aβ levels in 256 subjects from a discovery cohort (ADNI: 186CN, 105 lMCI, 47AD). Linear regression models examined the association of 30 SNPs from four genes of CYP (CYP3A4, CYP2C9, CYP2C19 and CYP1A1) with global [18F]florbetapir-SUVR, adjusting for age, sex, and ApoE-e4carriage status. Significant signals were interrogated at the voxel level using RMINC-tool, and, separately, tested for associations with CSF Aβ and Aβ/p-tau ratio. Neuropathologic data from the Rush ROS and MAP cohorts were used to generalize the findings to Aβ load and PHFtau tangle density by immunocytochemistry in post-mortem brains (302 CN, 180 aMCI, 259 AD). The analysis of [18F]florbetapir identified an intronic variant in the CYP2C19 gene (rs4388808; P=0.0005), in which carriers of the minor-allele (G) had lower global SUVR (Figure 1). The voxel-wise analysis showed a significant effect of the SNP in the frontal and posterior cingulate cortices, as well as in the inferior parietal cortex (Figure 2). Carriers of the minor-allele were also associated with higher CSF Aβ (P=0.003) and higher Aβ/p-tau ratio (P=0.01). In post-mortem brains, minor-allele carriers had a lower Aβ load (P=0.04), lower PHFtau tangle density (P=0.03) as well as better episodic memory (P=0.008). The rs4388808, an intronic variant of the CYP2C19 gene is implicated in Aβ load, tau pathology and episodic memory, where the minor-allele protects against AD pathology. Comparison between non-carriers(-) and carriers(+) of the minor allele of rs4388808 (CYP2C19). A significant difference was observed in brain amyloid load (A), CSF Aβ levels (B) and CSF Aβ/p-tau ratio (C) using ADNI cohort. Results were generalized using post-mortem data from Rush ROS and MAP cohorts, where a concordant pattern was observed in amyloid load (D), PHF-tau tangle density (E) and episodic memory scores (F). The linear models were adjusted for age, gender and ApoE-e4 carriage status. Voxel-wise comparison between minor allele non-carriers(-) and carriers(+) of the polymorphism rs4388808 of CYP2C19. A significant difference was observed in the frontal and posterior cingulate cortices, as well as in the inferior parietal cortex. The voxel-wise analysis was adjusted for age, gender and ApoE-e4 carriage status.

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 score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.030
GPT teacher head0.278
Teacher spread0.248 · 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".

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Citations1
Published2016
Admission routes1
Has abstractyes

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