Changes in Brain Glutathione in patients with mild vascular cognitive impairment
Bibliographic record
Abstract
Abstract Background Oxidative stress (OS) has been implicated in age‐related neurodegeneration and may be important in prodromal states such as mild vascular cognitive impairment (mVCI). Higher peripheral OS is reported in mVCI patients; however, the role of central antioxidant defenses in mVCI is unclear. Glutathione (GSH) is a major brain antioxidant, and so brain GSH in possible mVCI vs. controls was assessed. Method Possible mVCI patients (1 standard deviation (SD) below population norms in verbal memory, executive function (EF), processing speed, or working memory, age 55‐85, and currently enrolled in a cardiac rehabilitation program due to having 2 or more vascular risk factors or previous vascular event) and cognitively‐normal (CN) controls are recruited from a 6‐month exercise rehabilitation program. All participants received 1H magnetic resonance spectroscopy (MEscher–GArwood Point Resolved Spectroscopy) to quantify brain GSH at baseline in the anterior cingulate (AC) and occipital region (OC). Spectroscopic analysis was completed using the Gannet toolkit (vers. 3.1) in Matlab (vers. 2020b), a cut‐off of 20% was used to reject spectra of poor quality. Result In 30 participants (mVCI n = 16, CN n = 14), anterior cingulate (AC) GSH (I.U. ± SD) was higher in mVCI (1.86 ± 0.45) compared to CN (1.63 ± 0.50) (F(1,18.8) = 4.6, P = 0.04), this difference became trending after correcting for cerebrospinal fluid volume ((F(1,18.2) = 3.9, P = 0.06). No difference was detected for OC‐GSH before or after correcting for cerebrospinal fluid volume. Higher AC‐GSH was correlated with lower Montreal Cognitive Assessment score (rho (26) = ‐0.42, p = 0.02). Conclusion Preliminary data suggest an upregulation in anterior cingulate glutathione in mVCI, which might reflect a compensatory increase in antioxidants as a response to increase peripheral oxidative stress previously reported in these patients. Recruitment is ongoing and additional participants are needed to reinforce findings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".