Systemic levels of ceruloplasmin oxidase activity in allergic asthma and allergic rhinitis
Bibliographic record
Abstract
CONTEXT: The role of ceruloplasmin oxidase activity (COA) involving the interaction of oxidant and antioxidant balance in allergic diseases is still unknown. OBJECTIVE: Our study was designed to examine the changes in COAs in severe persistent asthma-allergic rhinitis, new diagnosed allergic asthma-allergic rhinitis and allergic rhinitis patients. METHODS: The study included 20 age- and sex-matched healthy individuals as control (Group I); Group II included 15 newly diagnosed allergic asthma-allergic rhinitis; Group III included 15 patients with severe persistent asthma-allergic rhinitis and in the fourth group there were 20 patients with allergic rhinitis. Group III was divided in two groups, severe persistent asthma-allergic rhinitis who were pre-(III-A) and post-treated (III-B) with omalizumab. Group IV was divided to two groups, pretreatment (IV-A) and posttreatment (IV-B) with specific subcutaneous immunotherapy modalities. All the posttreatment measurements were 12 months after the therapy. All the patients were assessed by the skin prick test, high sensitive C-reactive protein (hs-CRP) and COA. RESULTS: There were significant differences between Group I and Groups III-A, III-B, IV-A and IV-B; Group II and Groups III-A, III-B, IV-A and IV-B; Group III-A and Groups III-B, IV-A and IV-B; Group III-A and Groups IV-A and IV-B; and Group IV-A and IV-B. Interestingly, there was a correlation between the hs-CRP and COA levels in Group III-A. CONCLUSIONS: Our data suggest that hs-CRP and COA levels might be an indicator of an inflammation and important in revelation of patients with allergy related diseases, especially of asthma patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".