Correlation of soluble triggering receptor expressed on myeloid cells-1 in cerebrospinal fluid with Alzheimer’s disease biomarkers and cognitive function in non-dementia individuals
Bibliographic record
Abstract
Objective To investigate the correlation of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) in cerebrospinal fluid (CSF) with core Alzheimer’s disease (AD) biomarkers and cognitive function in non-dementia individuals. Methods A total of 558 non-dementia individuals in the Alzheimer’s Disease Neuroimaging Initiative cohort were enrolled as subjects, and related indicators were collected, including demographic features, the levels of neuroinflammatory marker sTREM-1, amyloid-β 42 (Aβ42), total tau (t-tau), and phosphorylated tau (p-tau) in CSF, and cognitive function scores assessed by Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). A multiple linear regression analysis was used to investigate the linear correlation between sTREM-1 in CSF and core AD biomarkers and cognitive function, and the mediation analysis was used to explore whether the core AD biomarkers in CSF mediated the association between sTREM-1 and cognitive function. Results The multiple linear regression analysis showed that the level of sTREM-1 in CSF was negatively correlated with MMSE and MoCA scores (P<0.05) and was positively correlated with p-tau, t-tau, p-tau/Aβ42 ratio, and t-tau/Aβ42 ratio in CSF (P<0.05), while it was not significantly correlated with the level of Aβ42 in CSF (P>0.05). The mediation analysis showed that p-tau and t-tau in CSF mediated the association between sTREM-1 and cognitive function. Conclusion In non-dementia individuals, the level of sTREM-1 in CSF is positively correlated with the levels of t-tau and p-tau in CSF. Neuroinflammation is involved in the pathogenesis of AD and the process of cognitive decline by affecting abnormal phosphorylation and aggregation of tau protein in neurons.
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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 | 0.001 | 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".