MétaCan
Menu
Back to cohort
Record W3036217219 · doi:10.1002/dad2.12034

Cerebrospinal fluid irisin correlates with amyloid‐β, BDNF, and cognition in Alzheimer's disease

2020· article· en· W3036217219 on OpenAlexaff
Mychael V. Lourenco, Felipe C. Ribeiro, Felipe Kenji Sudo, Cláudia Drummond, Naima Assunção, Bart Vanderborght, Fernanda Tovar‐Moll, Paulo Mattos, Fernanda G. De Felice, Sérgio T. Ferreira

Bibliographic record

VenueAlzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · 2020
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsQueen's University
FundersInstitute for Translational NeuroscienceConselho Nacional de Desenvolvimento Científico e TecnológicoFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroUniversidade Federal do Rio de JaneiroInstituto D'Or de Pesquisa e EnsinoInternational Society for NeurochemistryAlzheimer's Association
KeywordsCerebrospinal fluidInternal medicineEndocrinologyNeurotrophic factorsAmyloid betaCognitionBrain-derived neurotrophic factorAlzheimer's diseaseMedicineAmyloid (mycology)DiseasePsychologyNeurosciencePathologyReceptor

Abstract

fetched live from OpenAlex

Introduction: Irisin is a novel hormone originally identified for its role as a regulator of peripheral metabolism and recently found to protect synapses and rescue memory in mouse models of Alzheimer's disease (AD). However, whether and how cerebrospinal fluid (CSF) irisin varies in relation to canonical AD biomarkers and cognition in humans remains unknown. Methods: We determined CSF levels of irisin and brain-derived neurotrophic factor (BDNF) and examined their correlations with CSF amyloid beta (Aβ)42, total tau, and Mini-Mental State Exam (MMSE) scores in a cohort comprising AD patients (n = 14) and non-demented controls (NDC; n = 25). Results: CSF irisin correlated positively with BDNF, Aβ42, and MMSE scores, but not with CSF total tau. Discussion: Results indicate that CSF irisin and BDNF are directly correlated with Aβ pathology and cognition in AD.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.035
GPT teacher head0.308
Teacher spread0.273 · 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.

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

Citations65
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueAlzheimer s & Dementia Diagnosis Assessment & Disease MonitoringSame topicAdipose Tissue and MetabolismFrench-language works237,207