Serum C-reactive Protein and CRP Genotype in Pediatric Inflammatory Bowel Disease
Bibliographic record
Abstract
BACKGROUND: C-reactive protein (CRP) is an acute phase reactant. Patients with pediatric inflammatory bowel disease (PIBD) differ from adult patients with inflammatory bowel disease with regard to phenotype, inflammatory profile, and treatment response. We hypothesized that variations in CRP and CRP genotype influence PIBD phenotype, natural history, and remission after anti-tumor necrosis factor alpha therapy. METHODS: Six single nucleotide polymorphisms tagging CRP (rs1935193, rs1130864, rs1205, rs1417938, rs11265263, and rs1800947) were genotyped in 465 patients with PIBD (diagnosed <17 yr). Phenotyping was serially performed until last follow-up and serum CRP levels recorded at diagnosis and before biological therapy in a subgroup. RESULTS: CRP haplotype (ATGCTC) differed in those diagnosed <10 years, with rs1205T more frequent in Crohn's disease (CD) than ulcerative colitis (UC) (P = 0.009); the haplotype ATGCTC was less frequent in UC (P = 0.002). Three single nucleotide polymorphisms (rs1205, rs1130864, and rs1417938) showed association with elevated CRP levels at diagnosis. CRP genotype had no association with CD phenotype or natural history. CRP was more frequently raised at diagnosis in CD than UC (63% versus 22%, P < 0.0001). Elevated CRP at diagnosis was associated with a higher risk of progression to surgery in patients with CD (P < 0.0001) and the need for azathioprine in the overall PIBD cohort (P = 0.002). There was no effect of CRP genotype or serum CRP on the achievement of remission using anti-tumor necrosis factor alpha therapy. CONCLUSIONS: CRP and CRP genotype differ between pediatric patients with CD and UC with a high inflammatory burden at diagnosis suggesting a worse prognosis. Additional evaluation of CRP in inflammatory bowel disease pathogenesis and natural history is now warranted.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".