Additional file 1 of 14-3-3 $$\upzeta /\updelta$$ ζ / δ -reported early synaptic injury in Alzheimer’s disease is independently mediated by sTREM2
Bibliographic record
Abstract
Additional file 1: Table S1. LC–MS settings. LC–MS settings including electrospray and iFunnel for the analysis of the synaptic protein panel. Table S2. Odds ratio analyses to predict 14-3-3 $$\upzeta /\updelta$$ ζ / δ . OR = Odds ratio, CI = Confidence interval (up = 95%, low = 5%), GFAP = glial fibrillary acid protein, sTREM2 = soluble triggering receptor expressed in myeloid cells 2 (sTREM2). Table S3. SEM indices of goodness of fit. CFI = Comparative Fit Index, RMSEA = Root Mean Square Error of Approximation, SRMR = Standardized Root Mean Square Residual, TLI = Tucker Lewis Index, AD = Alzheimer’s Disease. Figure S1. 14-3-3 $$\upzeta /\updelta$$ ζ / δ is associated with memory deficits in cognitively unimpaired. (A) CSF levels of 14-3-3 $$\upzeta /\updelta$$ ζ / δ in A-T-N-, A + T-N-, A + T + N-, and A + T + N + , cognitively unimpaired young individuals were excluded for this analysis. Wilcoxon test with FDR-correction for multiple comparisons was used for statistical comparisons. * P < 0.05, *** P < 0.001. (B-C) CSF levels of 14-3-3 $$\upzeta /\updelta$$ ζ / δ in CU (B) and CI (C) participants divided by APOE ε4 carriership. (D-E) Spearman correlation analyses between CSF levels of 14-3-3 $$\upzeta /\updelta$$ ζ / δ and RAVLT immediate score (D) and delayed score (E) in cognitively unimpaired and impaired participants. Exact P-values and correlation coefficients are shown in the figure. Figure S2. Astrogliosis and microglia activation are detectable in early disease. (A–C) Plasma GFAP levels (A), whole brain [11C]PBR28 SUVR (B) and CSF sTREM2 (C) levels in A–T–N–, A + T–N–, A + T + N–, and A + T + N + according to the A/T/N framework using [18F]AZD4694, [18F]MK6240 and hippocampal volume. Wilcoxon test against A–T–N– with FDR-correction for multiple comparisons were conducted. *P < 0.05, **P < 0.01, ***P < 0.001.
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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 | 0.002 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.889 | 0.197 |
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".