Clinical value of the expression levels of protein tyrosine phosphatase non-receptor type 22.6 mRNA in peripheral blood mononuclear cells in Crohn’s disease
Bibliographic record
Abstract
OBJECTIVE: To explore the relationship between the expression levels of protein tyrosine phosphatase non-receptor type (PTPN) 22.6 mRNA in peripheral blood mononuclear cells (PBMCs) and the disease activity as well as clinical characteristics in Crohn's disease (CD) patients. METHODS: A total of 480 subjects were enrolled. Data were collected including baseline information, expression levels of PTPN22.6 mRNA in PBMCs for all subjects, C-reactive protein (CRP) levels in serum, clinical characteristics, and disease activity for all patients. Expression levels of PTPN22.6 mRNA in PBMCs, CRP levels in serum, clinical characteristics according to Montreal Classification [8], and Crohn's disease activity index (CDAI) were the primary observation outcomes. RESULTS: The expression levels of PTPN22.6 mRNA (P = 0.032) in PBMCs and serum CRP levels (P < 0.001) were significantly higher in active CD patients than in inactive CD patients (P = 0.032). Correlation analysis showed that there was a positive correlation between expression levels of PTPN22.6 mRNA and CDAI value (r = 0.512, P = 0.003), as well as expression levels of PTPN22.6 mRNA and CRP levels in the CD group (r = 0.456, P = 0.006). There were significantly higher expression levels of PTPN22.6 mRNA in PBMCs in patients with structuring behavior than that in patients with non-stricturing and non-penetrating (NSNP) behaviors (P = 0.018) and penetrating behaviors (P = 0.024). CONCLUSIONS: The expression levels of PTPN22.6 mRNA can be used as an indicator to help predict CD diagnosis, disease activity, serum CRP level, and behavior type of CD disease.
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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 | 0.000 |
| 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".