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Record W7061611238

The Relationship between Homocysteine, Oxidative Stress, and Cognition in Mild Vascular Cognitive Impairment

2021· dissertation· W7061611238 on OpenAlexfundno aff

Bibliographic record

VenueTSpace · 2021
Typedissertation
Language
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and StrokeCanadian Institutes of Health ResearchAlzheimer SocietyCanadian Stroke Network
KeywordsOxidative stressHomocysteineCognitionCognitive impairmentReactive oxygen speciesDiseaseOxidative phosphorylationVascular disease
DOInot available

Abstract

fetched live from OpenAlex

Homocysteine (Hcy) generates reactive oxygen species and has been associated with cardiovascular disease and impaired cognition. While the relationship between Hcy and cognition has been studied in other disorders, it has not been well characterized in mild vascular cognitive impairment (mVCI), the prodromal stage of vascular dementia. This cross-sectional study investigated the relationship between elevated Hcy, oxidative stress markers, and cognition in this at-risk population. 30 mVCI patients were assessed for cognition, plasma Hcy, and plasma oxidative stress markers. No intergroup difference was observed in executive function or verbal memory. Glutathione-S-transferase (GST), an oxidative stress product modulator, had elevated log transformed activity in the high Hcy group (mean(SD) =-0.11(0.15)) compared to the normal Hcy 0.15(0.24) group (F(1,12)=6.15, p=0.029, partial ƞ2=0.339. While there were non-significant results for primary and secondary hypotheses, findings suggest that elevated Hcy may be related to compensatory increased GST activity in mVCI.

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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.339
Teacher spread0.310 · 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
Published2021
Admission routes1
Has abstractyes

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