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Record W4411879514 · doi:10.1186/s13041-025-01229-3

CSF Amyloid-β42 associates with neuropsychiatric and cognitive outcomes via cerebral glucose metabolism

2025· article· en· W4411879514 on OpenAlexfundno aff
Ali Azargoonjahromi, Hamide Nasiri

Bibliographic record

VenueMolecular Brain · 2025
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchNational Institutes of HealthGenentechIXICOH. Lundbeck A/SServierEisaiNorthern California Institute for Research and EducationPfizerNovartis Pharmaceuticals CorporationUniversity of Southern CaliforniaBiogenEli Lilly and CompanyBristol-Myers SquibbBioClinicaU.S. Department of DefenseAlzheimer's Disease Neuroimaging InitiativeMeso Scale DiagnosticsNational Institute on AgingAlzheimer's Association
KeywordsInternal medicineCognitive declineCarbohydrate metabolismEndocrinologyAlzheimer's diseaseCognitionEffects of sleep deprivation on cognitive performanceNeurologyCerebrospinal fluidMedicineMetabolismPsychologyDiseaseDementiaPsychiatry

Abstract

fetched live from OpenAlex

Amyloid-β42 (Aβ42) regulates synaptic plasticity and memory formation at physiological levels in the brain, but in Alzheimer's disease (AD), it can disrupt brain function and glucose metabolism. This disruption contributes to cognitive decline and neuropsychiatric symptoms, highlighting the need to better understand its complex effects. This study investigated the associations among cerebrospinal fluid (CSF) Aβ42 levels, cerebral glucose metabolism (assessed via FDG-PET), neuropsychiatric symptoms (evaluated using the NPI), and cognitive performance (measured by ADAS-Cog13 and MoCA) in individuals with AD, mild cognitive impairment (MCI), and cognitively normal (CN) participants. After adjusting for age, gender, education, and ApoE ɛ4 status, a significant positive relationship between CSF Aβ42 levels and cerebral glucose metabolism was observed in the MCI and AD groups, but not in the CN group. In the MCI group, higher cerebral glucose metabolism was associated with reductions in both neuropsychiatric and depressive symptoms, suggesting that higher glucose metabolism reflect higher activation state of investigated brain regions. In contrast, in the CN group, elevated CSF Aβ42 levels were directly linked to increased depressive symptoms, indicating that higher CSF Aβ42 may contribute to depression even in the absence of cognitive decline. Further analysis revealed that CSF Aβ42 levels were indirectly associated with reduced neuropsychiatric and depressive symptoms through enhanced cerebral glucose metabolism as mediator solely in the MCI group. Regarding cognitive performance, cerebral glucose metabolism showed a strong relationship with cognition in both the MCI and AD groups. Furthermore, higher CSF Aβ42 levels were positively associated with better cognitive performance in the MCI and AD groups, with cerebral glucose metabolism potentially mediating this relationship, while no effect was seen in the CN group. In short, CSF Aβ42 positively influenced cerebral glucose metabolism, which was linked to reduced neuropsychiatric and depressive symptoms as well as improved cognitive performance in MCI and AD groups.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.006
GPT teacher head0.281
Teacher spread0.275 · 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.

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

Citations7
Published2025
Admission routes1
Has abstractyes

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