Oxidative Stress, Metabolic Impairment and Neuroinflammation are Associated With Target Organ Damage in SHRSP
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Stroke-prone spontaneously hypertensive rats (SHRSP) are widely used as a model to study cerebral small vessel disease (CSVD) and its association with chronic hypertension. This study investigated the relationship between metabolic, cardiovascular, and neuronal comorbidities in 32-week-old SHRSP rats versus Wistar-Kyoto (WKY) controls, with a focus on oxidative stress, inflammation, and metabolic alterations. Despite hypertension and cardiac and renal hypertrophy, no significant cerebral vascular changes or microbleeds and no cerebral edema were detected in SHRSP. NMR-based urinary metabolomics revealed reduced gut microbiome-derived metabolites, such as p-cresylglucuronide, hippurate, and phenylacetylglycine, alongside increases in methylamine and dimethylamine. These findings reflect gut dysbiosis and altered microbial composition in hypertensive conditions. Elevated markers of oxidative stress, including thiobarbituric acid-reactive substances, and increased expression of NADPH oxidase (NOX) 2 and NOX4 in peripheral tissues suggested oxidative damage in SHRSP rats. Astrocytic hyperreactivity, indicated by increased expression of glial fibrillary acidic protein in brain cortex and hippocampus, was suggestive of neuroinflammatory responses. Our findings highlight complex interplay between hypertension, metabolism, and neuroinflammation while underscoring the variability in SHRSP models.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it