Brain glutathione may be associated with white matter hyperintensities in patients with cardiovascular disease
Bibliographic record
Abstract
Abstract Background White matter hyperintensity (WMH) is a marker of age‐related cerebrovascular damage and is correlated with cognitive impairment; ischemia and inflammatory mechanisms have been proposed to be involved in its pathogenesis. These processes are associated with oxidative stress (OS), which may impair cellular function and affect antioxidant balance; however, the role of central antioxidant responses is still unclear. Method Patients (age 55‐85) with ≥2 vascular risk factors or a previous vascular event were assessed at baseline for an exercise rehabilitation program. All participants completed the Montreal Cognitive Assessment (MoCA). Baseline WHM severity was determined using the standardized Canadian Dementia Imaging Protocol and semiautomatic protocols. Brain glutathione (GSH) at baseline was obtained in the anterior cingulate (AC) and occipital region (OC) using 1H magnetic resonance spectroscopy (MEscher–GArwood Point Resolved Spectroscopy). Spectroscopic analysis was completed using the Gannet toolkit (vers. 3.1) in Matlab (vers. 2020b). Result Of 30 participants (mean age: 66.2 ± 7.42 SD; 80% male) currently enrolled, brain volumetric measurements were completed for 25 participants. Lower MoCA score was associated with greater total WMH volume, controlling for age (b[SE] = ‐0.017 [0.005], t(22) = ‐3.24, p = 0.004); this relationship remained significant when controlling for years of education separately (b[SE] = ‐0.016 [0.006], t(22) = ‐2.86, p = 0.01). Correcting for cerebrospinal fluid volume, lower AC‐GSH level was associated with higher deep WMH volume in the medial middle frontal (MMF) region of interest (b[SE] = ‐0.056 [0.023], t(23) = ‐2.38, p = 0.026), but not with MMF paraventricular WMH volume. After controlling for age, the model was no longer significant (F (2, 22) = 2.87, p = 0.078). No significant associations were found between OC‐GSH and occipital lobe WMH. Conclusion As expected, total white matter hyperintensity volume was associated with poorer global cognition. In the medial middle frontal (MMF) region of interest, higher deep WMH was associated with lower GSH levels, suggesting altered brain antioxidant levels may be associated with the presence or formation of WMH. Recruitment is ongoing, and additional participants are needed to reinforce findings and to control for confounders in the analysis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".