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Record W4406051163 · doi:10.1002/alz.091588

Fatty Acid Amide Hydrolase Single Nucleotide Polymorphism rs324420A/C Associations with Alzheimer’s Disease

2024· article· en· W4406051163 on OpenAlexaff
Daniel K Mori‐Fegan, Yuen Yan Wong, Shiropa Noor, Che‐Yuan Wu, Ruth A. Ross, Walter Swardfager

Bibliographic record

VenueAlzheimer s & Dementia · 2024
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsSingle-nucleotide polymorphismFatty acid amide hydrolasePolymorphism (computer science)NucleotideGeneticsDiseaseFatty acidAlzheimer's diseaseBiologyChemistryGeneBiochemistryMedicineGenotypeInternal medicineReceptor

Abstract

fetched live from OpenAlex

Abstract Background The endocannabinoid system has demonstrated roles in Alzheimer’s Disease (AD), such as modulation of inflammation. Fatty Acid Amide Hydrolase (FAAH) is the enzyme responsible for the rapid inactivation of the endocannabinoid anandamide into arachidonic acid and ethanolamine. In doing so, FAAH modulates the concentration of anandamide and influences neurobehavioral functions and physiological conditions such as nociception and inflammatory responses. A missense single nucleotide polymorphism in the FAAH gene rs324420‐A>C (Minor allele frequency = 26.4%) is associated with higher levels of anandamide, reduced susceptibility to PTSD and increased risk of substance use disorders. However, the relationship between rs324420 and AD progression has not been explored. In AD, FAAH methylation is lower resulting in increased activity, and FAAH inhibition is suggested to drive microglial polarisation towards anti‐inflammatory phenotypes. rs324420 increases proteolytic degradation, thus reducing functionality of FAAH. Due to lowered FAAH activity, we hypothesise that rs324420 minor allele carriers will have slower neurodegeneration and slower cognitive decline in AD. Methods This retrospective, longitudinal, observational study used data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Patients diagnosed with mild cognitive impairment or mild AD (MCI or AD) from ADNI2/GO/3 were selected. Linear regression models evaluated baseline differences between rs324420 minor allele carriers (AC/CC) and major allele homozygotes (AA) controlling for sex, age, baseline cognitive status, APOE‐e4 status and baseline intracranial volume. Longitudinal associations were assessed as interactions between SNP and visit number (baseline to 48 months) in mixed models. Results In Aβ‐positive patients with AD or MCI, carrying the rs324420 minor allele was associated with smaller nucleus accumbens volume (F(1,311) = 15.7, p = 0.018) at baseline. Longitudinally, several brain regions showed less volumetric decline in minor allele carriers over 48 months: caudal anterior cortex (F(1,163) = 5.18, p = 0.024), fusiform gyrus (F(1,85.6) = 5.28, p = 0.024), rostral anterior cortex (F(1,59.9) = 6.41, p = 0.014) and nucleus accumbens (F(1,84.7) = 4.75, p = 0.032). Carriers of the minor allele also showed less decline MMSE score over 48 months (F(1,544.15) = 5.13, p = 0.024). Conclusions Slower rates of cognitive and neuroanatomical decline in amyloid positive patients with MCI or mild dementia due to AD suggest a potential protective role of the rs324420 minor allele in the FAAH gene. Further investigation is warranted, including cognitive, anatomical, fluid biomarker and neuropsychiatric symptom profiles.

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 score0.007
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.029
GPT teacher head0.288
Teacher spread0.259 · 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
Published2024
Admission routes1
Has abstractyes

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