MétaCan
Menu
Back to cohort
Record W3111586991 · doi:10.1002/alz.042269

Biomarkers of agitation in moderate‐to‐severe Alzheimer's disease patients enrolled in an RCT with nabilone

2020· article· en· W3111586991 on OpenAlexaff
Myuri Ruthirakuhan, Nathan Herrmann, Ana C. Andreazza, Nicolaas Paul L.G. Verhoeff, Damien Gallagher, Sandra E. Black, Krista L. Lanctôt

Bibliographic record

VenueAlzheimer s & Dementia · 2020
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsBaycrest HospitalToronto Rehabilitation InstituteSunnybrook Health Science CentreOccupational Cancer Research CentreSunnybrook HospitalUniversity of Toronto
Fundersnot available
KeywordsBiomarkerInternal medicinePlaceboMedicineRandomized controlled trialMetaboliteGastroenterologyPsychologyChemistryPathology

Abstract

fetched live from OpenAlex

Abstract Background Brain cholesterol metabolism, neuroinflammation, and oxidative stress are processes altered during Alzheimer’s disease (AD), which may impede endocannabinoid signaling, and thus worsen agitation. We assessed whether the brain cholesterol metabolite, cerebrocholesterol (Cchol), proinflammatory cytokine, tumor necrosis factor (TNF), and oxidative stress marker, 4‐hydroxynonenal (4‐HNE) were associated with agitation severity and response to nabilone. Method Serum Cchol, TNF and 4‐HNE, were collected from AD patients enrolled in a 14‐week, double‐blind cross‐over trial comparing 6 weeks of nabilone to placebo, at the start and end of each phase. We assessed the relationship between agitation (Cohen Mansfield Agitation Inventory (CMAI)) and baseline (BL) biomarker levels; the relationship between change in agitation and BL biomarker levels within each phase; and the relationship between change in agitation and change in biomarker levels within each phase. Exploratory analyses included adjustments for BL cognition (Mini‐Mental Status Exam (MMSE)), and analyses with CMAI subtotals consistent with the International Psychogeriatric Association (IPA) definition for agitation. Result Serum was collected from thirty‐eight participants (mean±SD age=87±10, 77% male, CMAI=68±18, MMSE=6.3±6.3). Cchol was not associated with CMAI cross‐sectionally or longitudinally, before and after adjusting for MMSE. However, BL Cchol was negatively correlated with BL CMAI IPA (F(1,36)=4.95, p=.03). In placebo only, lower BL Cchol was associated with increases in CMAI IPA (b=‐35.2, p=.02), and decreases in Cchol were associated with increases in CMAI IPA (b=‐20.94, p=.03). After adjusting for MMSE, BL TNF was positively correlated with BL CMAI (F(2,25)=3.69, p=.04), and predicted improvements in CMAI during nabilone only (b=‐1.14, p=.045). Decreases in TNF were associated with improvements in CMAI during nabilone only (b=1.12, p=.006). BL 4‐HNE was positively correlated with BL CMAI (F(1,35)=6.41, p=.02), and predicted worsening in CMAI during placebo only (b=0.01, p=.01). Changes in 4‐HNE were not associated with changes in CMAI in either phase. Conclusion Cchol, TNF, and 4‐HNE may be markers of agitation severity in AD. Though neither Cchol nor 4‐HNE predicted response to nabilone and did not change over time with nabilone, these markers may be associated with changes in agitation severity. Findings with TNF suggest that this marker predicts treatment response, and decreases with nabilone treatment.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.262
Teacher spread0.230 · 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 designRandomized trial
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueAlzheimer s & DementiaSame topicTryptophan and brain disordersFrench-language works237,207