Neuroinflammation as a mechanism linking hypertension with the increased risk of Alzheimer’s disease
Bibliographic record
Abstract
Alzheimer's disease, the most common type of dementia among older adults, currently cannot be prevented or effectively treated. Only a very small percentage of Alzheimer's disease cases have an established genetic cause. The majority of Alzheimer's disease cases lack a clear causative event, but several modifiable factors have been associated with an increased risk of this disease. Persistent midlife hypertension is one such risk factor, which can be effectively controlled through changes in diet, lifestyle, and antihypertensive drugs. Identifying molecular mechanisms linking modifiable risk factors with the increased risk of Alzheimer's disease could enhance our understanding of this disease and lead to identification of novel targets and therapeutic approaches for effective treatments. Glial cell-driven neuroinflammation is one of the key pathological features of Alzheimer's disease. In this review, we illustrate that neuroinflammation could also be one of the possible mechanisms linking hypertension and Alzheimer's disease. Animal studies have demonstrated that chronically elevated blood pressure leads to adverse glial activation and increased brain inflammatory mediators. We highlight damage to cerebral microvasculature and locally activated renin-angiotensin system as the key pathogenetic mechanisms linking hypertension to neuroinflammation and the accompanying neurodegeneration. The role of tumor necrosis factor-α and interleukin-1β as pro-inflammatory signaling molecules providing this link is discussed. We also summarize the available experimental data indicating that neuroinflammatory changes and glial activation can be reversed by several different classes of antihypertensive medicines. These studies suggest antihypertensives could be beneficial in Alzheimer's disease not only due to their ability to control the blood pressure, but also due to their anti-neuroinflammatory effects. Confirmation of these observations in human subjects is required and recent advances in the brain imaging techniques allowing visualization of both microglia and astrocyte activation will be essential for this research.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".