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Record W4391164435 · doi:10.1093/ecco-jcc/jjad212.0431

P301 Distinct plasma proteomic biomarkers associate with disease progression in patients with Inflammatory Bowel Diseases

2024· article· en· W4391164435 on OpenAlexaboutno aff
F E Veenstra, Shixian Hu, Hendrik M. van Dullemen, Marijn C. Visschedijk, Klaas Nico Faber, Gerard Dijkstra, Janneke N. Samsom, Eleonora A. Festen, Rinse K. Weersma, Lieke M. Spekhorst, Arno R. Bourgonje

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsInflammatory bowel diseaseMedicineInflammatory Bowel DiseasesDiseaseBioinformaticsImmunologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Abstract Background Inflammatory bowel diseases (IBD), including Crohn's disease (CD) and ulcerative colitis (UC), are characterized by complex pathophysiology, phenotypic heterogeneity and disease progression. Patients with IBD show distinct shifts in circulating inflammatory proteins, which may be suggestive of biological mechanisms behind clinical disease progression. Thus far, proteomics studies in IBD have primarily focused on changes in the plasma proteome at pre- and post-diagnostic stages, as well as its genetic and phenotypic determinants. However, studies focusing on proteomic biomarkers for predicting the risk of disease progression are lacking. Here we aimed to identify plasma proteomic biomarkers associated with disease progression in patients with IBD. Methods In this study, a total of 83 inflammation-related plasma proteins were quantified in a cohort of 452 patients with IBD (267 with CD, 185 with UC) who participated in the 1000IBD project and had available follow-up data. Proximity extension assay technology was leveraged to measure these proteins. Disease progression outcomes, including the development of intestinal stenosis, IBD-related surgical interventions, and extraintestinal manifestations (EIMs), were extracted from electronic health records. Logistic regression analyses and Cox proportional hazards regression models were used to investigate associations between plasma proteins and the risk of disease progression outcomes. Results During a median follow-up of 10.3 (interquartile range [IQR] 7.6-11.1) years, 63 (23.6%) patients with CD developed intestinal stenosis, 53 (19.9%) patients with CD and 14 (7.6%) patients with UC underwent IBD-related surgery, and 120 (44.9%) patients with CD and 45 (24.3%) patients with UC developed EIMs. On multivariable analysis, macrophage colony-stimulating factor-1 (CSF-1) was most strongly associated with the presence of stricturing disease (Montreal B2 phenotype) (odds ratio [OR] per doubling in protein level 4.5, 95%CI: 1.6-12.9, P=0.005) and with a shorter stenosis-free survival (hazard ratio [HR] per doubling 4.2, 95%CI: 1.5-11.6, P=0.006). Furthermore, interferon-gamma (IFN-γ) was most strongly associated with surgery in CD (OR per doubling 1.6, 95%CI: 1.2-2.2, P=0.003) and with shorter surgery-free survival in CD (HR per doubling 1.4, 95%CI: 1.2-1.7, P<0.001) in multivariable analysis. Conclusion This study highlights that disease progression in IBD is associated with elevated levels of specific inflammatory plasma proteins. Specifically, CSF-1 and IFN-γ show most promise as possible proteomic biomarkers for the future development of intestinal stenosis and the risk of surgical interventions in patients with CD, respectively.

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)0.002
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.003
GPT teacher head0.213
Teacher spread0.210 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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