Exploring the Serum Level of RE1 Silencing Transcription Factor in Alzheimer's Disease
Bibliographic record
Abstract
Objectives The aim of this study was to evaluate the serum RE1 silencing transcription factor (REST) level in Alzheimer's disease (AD), mild cognitive impairment (MCI), and elderly controls by using surface plasmon resonance (SPR) technology. Materials and Methods In this case–control study of 133 subjects, 49 patients with AD, 49 patients with MCI, and 35 elderly controls were recruited. The REST protein concentrations were evaluated by SPR. The resonance unit for each sample was recorded and the concentration of serum REST of study group was derived from the standard curve. All the experiments were done in triplicates. Statistical analysis was done and p -value of < 0.05 was considered as statistically significant. Results A significant difference was observed in the Montreal Cognitive Assessment score, Hindi Mental State Examination scale (HMSE) score education, disease duration, and gender among the groups. A significant ( p >0.0001) difference in the duration of disease between AD and MCI was observed. It was observed that the mean concentration of serum REST was not significantly ( p = 0.266) different among the groups. Conclusion This study first time evaluated the serum levels of REST in AD, MCI and age-matched elderly controls. The rest levels were similar in all groups; however, it can provide a new direction to future blood-based biomarker studies of REST.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".