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Record W4225335661 · doi:10.4103/1673-5374.336869

Neuroinflammation as a mechanism linking hypertension with the increased risk of Alzheimer’s disease

2022· review· en· W4225335661 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNeural Regeneration Research · 2022
Typereview
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsNeuroinflammationNeurodegenerationDiseaseMedicineDementiaAlzheimer's diseaseMechanism (biology)Risk factorBioinformaticsNeuroscienceInternal medicinePsychologyBiology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.779
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.242
GPT teacher head0.384
Teacher spread0.142 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it