Do increased serum IL-12 and IL-23 levels affect cognitive function in patients with multiple sclerosis? A preliminary study
Bibliographic record
Abstract
Aim of the study: To compare the serum levels of IL-12 and IL-23 between healthy volunteers and patients with multiple sclerosis with regard to their cognitive function. Materials and methods: A total of 21 patients with multiple sclerosis and 21 healthy individuals were enrolled into the study. The individuals were age- and sex-matched. Each participant was evaluated using the Montreal Cognitive Assessment (MoCA), the Beck Depression Inventory (BDI), and the Pittsburgh Sleep Quality Index (PSQI). The enzyme-linked immunosorbent assay was performed to assess the serum levels of IL-12 and IL-23. Results: The concentration of IL-12 was 1.61 ± 4.61 pg/mL in the group of patients with multiple sclerosis and 1.78 ± 3.54 pg/mL in the control group, p = 0.5009. The concentration of IL-23 was 19.04 ± 75.50 pg/mL in the study group and 5.50 ± 14.4 pg/mL in the control group, p = 0.5170. A significant difference was found between the control and study groups in the MoCA cognitive test (28 vs. 24 points, respectively, p < 0.0001). There was no significant difference in the Beck Depression Inventory and PSQI between the control and study groups. No significant correlations were found between the IL-12/IL-23 serum levels and psychological evaluations. Conclusions and clinical implications: The results obtained indicate that IL-12 and IL-23 may not play a role in the development of cognitive impairment. The assessment of cognitive impairment in patients with multiple sclerosis may have a screening value in preventing their cognitive deterioration.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".