Effect of Corticosteroid Therapy on Serum and CSF Malondialdehyde and Antioxidant Proteins in Multiple Sclerosis
Bibliographic record
Abstract
OBJECTIVE: Multiple sclerosis (MS) is a disease characterised by perivascular infiltrates and demyelination of the white matter in the central nervous system. Although the precise cause of MS remains unknown, some investigations have been carried out on antioxidant mechanisms in these patients. METHODS: In this study, malondialdehyde (MDA), as a lipid peroxidation marker, and ceruloplasmin (Cp) and transferrin (Trf), as antioxidant proteins, levels were determined in cerebrospinal fluid (CSF) and serum of 30 MS patients before and after corticosteroid therapy and in 20 control subjects. Transferrin and Cp levels were measured by the nephelometric method and MDA was measured spectrophotometrically. RESULTS: Mean MDA(serum) and MDA(CSF) levels were found to be highest in the pretreatment group and lowest in the control group. Although there was no significant difference in terms of serum Trf level, serum Cp was found higher in pre- and posttreatment groups than in the control groups. Ceruloplasmin and Trf levels of CSF were not detectable using the nephelometric method. A significant correlation was found between MDA(CSF) and MDA(serum) in the pretreatment group (r=0.58). CONCLUSIONS: These data revealed that lipid peroxidation was increased in serum and particulary in CSF of MS patients and was reduced with corticosteroid therapy.
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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 | 0.002 |
| 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 | 0.000 |
| 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".