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Record W4206907925 · doi:10.1093/ecco-jcc/jjab232.331

P204 Endotrophin (PRO-C6) is associated with MRE confirmed intestinal strictures and Protein FingerPrint biomarkers of collagen degradation is associated with ulcerations in paediatric Crohn’s disease patients – results from the ImageKids study

2022· article· en· W4206907925 on OpenAlexaff
Joachim Høg Mortensen, Gili Focht, Martin Pehrsson, Anne M. Griffiths, Marta Sorokina Alexdóttir, Peter Church, Robert N. Baldassano, Anne‐Christine Bay‐Jensen, Joshua R. Silverstein, M.A. Karsdal, Dan Turner

Bibliographic record

VenueJournal of Crohn s and Colitis · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineGastroenterologyInternal medicineCrohn's diseaseFibrosisStenosisInflammationInflammatory bowel diseaseSerologyDiseasePathologyImmunologyAntibody

Abstract

fetched live from OpenAlex

Abstract Background Most patients with inflammatory bowel disease (IBD) eventually develop intestinal fibrosis due to increased extracellular matrix (ECM) remodelling. There is a huge medical need for non-invasive serological biomarkers for intestinal fibrosis and inflammation, as magnetic resonance enterography (MRE) and endoscopy are less desirable for repeated monitoring. Therefore, we aimed to investigate Protein FingerPrint assays (PFA) of collagen remodelling and citrullinated vimentin as surrogate markers of intestinal stenosis and tissue inflammation in paediatric Crohn’s disease (pCD) patients. Methods This is a proteomics planned sub-study of the multi-center prospective ImageKids study that enrolled children with CD undergoing MRE and colonoscopy concurrently (ImageKids study: NCT01881490). We included those in Tanner stage 5 with available serum sample for these initial analyses, as age and stage of physical development affects ECM remodelling. Serum from healthy age and gender matched controls were obtained from Central BioHub. PFA biomarkers of collagen degradation (C1M, C3M, C4M, C6M), collagen formation (PRO-C1, PRO-C3, PRO-C4, PRO-C5, PRO-C6) and citrullinated vimentin (VICM) were measured. Intestinal stenosis was determined by MRE and mucosal inflammation by the SES-CD. Student’s t-test, Pearson r correlation and one-way-ANOVA with Tukey correction was applied for statistical analysis. Results 50 pCD adolescents were included (mean age ± 14.53 years, 30 (60%) females, 11 (22%) in clinical remission and 18 (36%) with moderate-severe disease), along with 83 serum samples from healthy controls. SES-CD correlated with C1M (r=0.58, p=0.0001), C3M (r=0.46, p=0.0033), C6M (r=0.48, p=0.0021), PRO-C4 (r=0.58, p=0.0001), VICM (r=0.48, p=0.0018), PRO-C1 (r=-0.39, p=0.015) and PRO-C3 (r=-0.33, p=0.043). C1M (p<0.0001), C3M (p<0.05), and C6M p<0.001) were elevated in patients with severe ulcers compared to patients without ulcers, and vice versa for VICM (figure 1). PRO-C6 (p<0.05) was significantly elevated between patients with vs. without intestinal stenosis, and PRO-C5 (p<0.01), C4M (p<0.05), and PRO-C4 (p<0.05) were significantly lower (figure 2). Conclusion PFA biomarkers of collagen degradation and formation are associated with inflammation and/or intestinal fibrosis pCD. Furthermore, the biomarkers C1M, C3M, C4M, C6M, reflecting mucosal damage and tissue inflammation, were elevated in pCD patients with severe ulcers. PRO-C6, PRO-C5 and C4M were the best PFA biomarkers to reflect MRE-confirmed stenosis. PFA biomarker of collagen remodelling could potentially be applied as surrogate biomarkers for monitoring of mucosal damage/tissue inflammation and fibrostenotic stricture development.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.007
GPT teacher head0.215
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2022
Admission routes1
Has abstractyes

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