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Record W4406208944 · doi:10.1002/alz.090573

Neuronal viability/astrocyte activity ratio in the dorsolateral prefrontal cortex as a biomarker of Alzheimer’s dementia: A proton magnetic resonance spectroscopy study

2024· article· en· W4406208944 on OpenAlexaff
Shreya Jha, Edgardo Torres‐Carmona, Yusuke Iwata, Clement Ma, Ariel Graff‐Guerrero, Corinne E. Fischer, Benoit H. Mulsant, Bruce G. Pollock, Tarek K. Rajji, Sanjeev Kumar

Bibliographic record

VenueAlzheimer s & Dementia · 2024
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsSt. Michael's HospitalCentre for Addiction and Mental HealthUniversity of Toronto
Fundersnot available
KeywordsDorsolateral prefrontal cortexDementiaProton magnetic resonanceNeuroscienceAstrocytePrefrontal cortexBiomarkerAlzheimer's diseasePsychologyNuclear magnetic resonanceMedicineInternal medicineChemistryCentral nervous systemCognitionDiseasePhysicsBiochemistry

Abstract

fetched live from OpenAlex

Abstract Background N‐acetyl‐aspartate (NAA) and myo‐inositol (mI) are neurometabolites reflecting neuronal viability and astrocyte activity, respectively. These can be quantified in vivo using proton magnetic resonance spectroscopy (1H‐MRS). Previous studies have suggested that these metabolites could serve as biomarkers for Alzheimer’s disease dementia (AD). NAA and mI levels were compared in the dorsolateral prefrontal cortex (DLPFC) between AD and cognitively healthy control participants to assess for significant differences, assess if NAA/mI ratio can distinguish the two groups, and to explore the relationship between metabolites and cognition. Method Participants with AD and HCs over 55 years old were included. Bilateral NAA and mI levels were quantified in the DLPFC using 3T proton magnetic resonance spectroscopy (point‐resolved spectroscopy, echo time=35ms). NAA and mI levels were estimated using LCmodel version 6.3 and reported in H2O ratios i.e. NAA/ H2O or mI/H2O. Result The study included 64 participants, 41 with AD (mean (SD) age = 75.2 (7.2) years, females = 58.5%), and 23 HC (age = 72.2 (7.7) years, females = 60.1%). Bilateral NAA levels in the DLPFC were lower in AD vs. HC, (t(62)=‐2.5, p =0.02); however, mI levels in the DLPFC did not differ between the two groups t(62)=1.0, p=0.35. NAA/mI ratio was lower in AD vs. healthy (t(62)= ‐2.368, p =0.02). The NAA/mI ratio at a cut off value of 1.69 showed 59% sensitivity and 87% specificity at distinguishing AD from HC. NAA levels were associated positively with global cognition. Conclusion DLPFC NAA is decreased in AD and is associated with cognition. NAA/mI ratio shows good specificity in distinguishing AD from the control group, suggesting its role in complementing other biomarkers in ascertaining AD. Future studies should prospectively evaluate the clinical utility of NAA/mI ratio as a biomarker 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 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.306
Teacher spread0.279 · 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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