<i>C‐reactive protein (<scp>CRP</scp>) rs3093059C</i> predicts poor mizolastine response in chronic spontaneous urticaria patients with elevated serum <scp>CRP</scp> level
Bibliographic record
Abstract
Chronic spontaneous urticaria (CSU) is a frequent disorder with recurrent itchy wheals and/or angioedema, and nearly 35% patients respond poorly to non-sedating H1 antihistamine treatment. CRP gene encodes the C-reactive protein, which is involved in the pathogenesis of CSU. To investigate the impacts of CRP polymorphisms on the susceptibility and therapeutic efficacy in the South Han CSU patients, we enrolled 145 CSU patients in our study. After 4-week non-sedating H1 antihistamine monotherapy treatment, more than 50% reduction of the severity score is considered as effective, or else non-effective. The CRP rs3093059T/C and rs2794521G/A genotypes of patients were determined by Sequenom MassARRAY. Functional studies including relative luciferase assay and β-hexosaminidase assay were conducted in HEK293T cells or RBL-2H3 cells to explore the function of variants. Forty (62.50%) CSU patients were effective when treated with mizolastine, and 55 (72.4%) patients were effective in the desloratadine group. We found that the patients carried with rs3093059TT genotype were significantly associated with good response (OR = 4.20, P = 0.015), had lower serum CRP, IL-6 and TNF-α levels than the CT/CC genotypes. In vitro, the rs3093059C allele exhibited significantly higher luciferase activity than wild allele (P < 0.001). From the β-hexosaminidase assay, we observed the inhibiting degranulation effects by mizolastine and this effect is weakened when with a higher dose CRP in RBL-2H3 cells. Our findings suggested that CSU patients carrying the rs3093059C allele may respond poorly to mizolastine with elevated serum CRP level.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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".