New potential biomarkers of Alzheimer's disease: markers of endothelial dysfunction and neuroinflammation.
Bibliographic record
Abstract
Alzheimer's disease (AD) is the most common cause of dementia in the elderly. The aim of the work was Objective: to determine the relationship between laboratory biomarkers in blood plasma and cerebrospinal fluid (CSF) in patients with AD and indicators of neuropsychological testing. Patients and methods. 52 patients with AD were examined, in which the concentration of 90 potential biomarkers were measured in blood plasma and CSF. Neuropsychological assessment included the Mini-Mental State Exam (MMSE), Frontal Assessment Battery (FAB), Montreal Cognitive Assessment (MoCA), and etc. Results and discussion. Correlations of different strength between the values of biomarkers in blood plasma and CSF and the results of neuropsychological assessment were revealed. A correlation was found between the soluble cell adhesion molecule (sICAM-1) in blood plasma and the largest number of neuropsychological tests sensitive to dementia stages (MoCA, MMSE, FAB) in patients with AD at the dementia stage. A correlation was found between the concentration of growth/differentiation factor 15 and interferon γ in blood plasma and FAB scores in patients with AD. The levels of granulocyte colony-stimulating factor (G-CSF) in CSF were associated with the dementia stage in AD, and the interleukin-1 receptor antagonist (IL-1RA) levels, on the contrary, with stages preceding the development of dementia in AD. Conclusion. sICAM-1 level in blood plasma, which is a marker of endothelial dysfunction, may be an indicator of the severity of the vascular neurodegenerative process in AD at the dementia stage. G-CSF in the CSF is associated with the dementia stage in AD, and IL-1RA – with the pre-dementia stage of AD, which determines the prospect of their further study as diagnostic markers.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".