Serum SIRT3 levels in epilepsy patients and its association with clinical outcomes and severity: A prospective observational study
Bibliographic record
Abstract
Abstract Objective In this prospective observational study, we aimed to investigate the serum levels of sirtuin (SIRT)3 in epilepsy patients and its association with the severity of the disease. Methods This prospective observational study included 203 patients with symptomatic epilepsy and 100 healthy controls who visited our hospital from November 2019 to November 2022. The severity of the disease in epilepsy patients was assessed using the National Hospital Seizure Severity Scale (NHS3). We used enzyme-linked immunosorbent assay to measure the serum levels of SIRT3, interleukin (IL)-6, IL-1β, tumor necrosis factor-alpha, and C-reactive protein in all patients. In addition, the cognitive function of all study participants was evaluated using the Mini-Mental State Examination and the Montreal Cognitive Assessment (MOCA). All data were analyzed using SPSS 25.0 software. Results The MOCA scores of the epilepsy patients were significantly lower compared to the healthy volunteers (P < 0.05). The serum SIRT3 levels were decreased significantly in patients with refractory epilepsy (183.16 ± 17.22 pg/mL) compared to non-refractory epilepsy patients (199.00 ± 18.68 pg/mL). In addition, serum SIRT3 levels were negatively correlated with the inflammatory factors IL-6 (Pearson’s correlation −0.221, P = 0.002) and NHS score (Pearson’s correlation −0.272, P < 0.001) of epilepsy patients, while positively correlated with MOCA scores (Pearson’s correlation 0.166, P = 0.018). Furthermore, the receiver operating characteristic curve demonstrated that serum SIRT3 could be used to diagnose epilepsy, as well as refractory epilepsy. Finally, logistic regression analysis showed that SIRT3 (OR = 1.028, 95%CI: 1.003–1.054, P = 0.028), IL-6 (OR = 0.666, 95%CI: 0.554–0.800, P < 0.001), IL-1β (OR = 0.750, 95%CI: 0.630–0.894, P = 0.001), and NHS3 (OR = 0.555, 95%CI: 0.435–0.706, P < 0.001) were risk factors for refractory epilepsy. Conclusion In conclusion, our findings demonstrated that serum SIRT3 levels were significantly decreased in epilepsy patients and further decreased in patients with refractory epilepsy. This study might provide new therapeutic targets and comprehensive treatment strategies for epilepsy patients.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".