THE WHITE MATTER INTEGRITY AND COGNITIVE PERFORMANCES OF HYPERTENSIVE PATIENTS ARE ASSOCIATED TO CIRCULATORY INFLAMMATORY RISK BIOMARKERS AND CIRCULATING WHITE BLOOD CELLS
Bibliographic record
Abstract
Objective: The role of the immune system and inflammation in establishing target organ damage in cardiovascular diseases and hypertension is widely recognized. While this has been well characterized in hypertension-induced cardiac and renal damage, preclinical studies pointed out its role in cerebral injury, but it is less known whether this can be verified in hypertensive patients. In particular, no study has investigated how inflammatory mediators and circulating immune cells can be used as risk biomarkers for cerebral injury parameters obtained by neuroimaging in hypertensive patients Design and method: We have subjected hypertensive patients to cerebral MRI, elaborated with advanced neuroimaging techniques as diffusion tensor imaging (DTI)-MRI to assess white matter injury. We subjected patients to neuropsychological tests such as the Montreal Cognitive Assessment (MoCA) to evaluate cognitive function, measured circulating high sensitivity C-reactive protein (hs-CRP) as a general inflammatory biomarker and counted white blood cells (WBC). Results: We found a widespread association between white matter tract loss of integrity and elevation of inflammatory and immune biomarkers (Figure A). Specifically, the regions surrounding and crossing the corpus callosum like Forceps Major and Minor, the Anterior Commissure show a correlation between the microstructural loss of integrity and hs-CRP levels. On the other hand, the integrity of tracts situated across the temporal lobe, as the Superior Longitudinal Fasciculus, the Arcuate Fasciculus and other associative tracts is correlated with the WBC. Finally, tracts connecting the temporal lobe and traversing the white matter near the corpus callosum, and specifically the Frontal Aslant and the Uncinate Fasciculus, show associations with both inflammatory and immune markers (Figure B). Conclusions: We leveraged advanced neuroimaging to show that the immunoinflammatory risk in hypertensive patients is associated with white matter alterations in the corpus callosum, associative and projection fibers. Furthermore, our previous work identified that white matter damage in the Forceps Minor and Superior Longitudinal Fasciculus was a typical trait of hypertensive patients. Our data further show that the inflammatory risk associates with lower score at cognitive tests, suggesting a clinical relevance in terms of damage evidenced by advanced MRI in hypertensive patients.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.002 | 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".