Changes in Serum Amyloid A (SAA) and 8-OHdG in Patients with Senile Early Cognitive Impairment
Bibliographic record
Abstract
BACKGROUND This study assessed variations in SAA and 8-OHdG in patients with senile early cognitive impairment (CI). MATERIAL AND METHODS The subjects were divided into 3 groups: 121 patients with mild cognitive impairment (MCI), 131 with Alzheimer's disease (AD), and 100 healthy persons that underwent physical examinations during the same period (Control). These groups were evaluated by MMSE and MoCA, and the SAA and 8-OHdG levels in these groups were tested using ELISA sandwich technique. RESULTS The AD group had significantly higher TG and ApoB levels, followed by the MCI and Control groups, respectively (P<0.05). The MCI group had the highest HDL-C level significantly, while the Control group had the lowest (P<0.05). The Control (normal) group had significantly higher MoCA and MMSE scores, followed by the MCI group and the AD group (P<0.05). The Control (normal) group had significantly lower SAA and 8-OHdG levels, followed by the MCI group and the AD group (P<0.05). The MoCA and MMSE scores and serum 8-OHdG and serum SAA levels in the 3 groups were negatively correlated, but their SAA and 8-OHdG levels were positively correlated. CONCLUSIONS SAA and 8-OHdG in the MCI and AD groups were highly expressed but had an inverse correlation with cognitive function scores (hereafter referred to as CFs scores). They can also be applied as test indicators of MCI. We also detected an apparent link between SAA and 8-OHdG.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".