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Record W4391162615 · doi:10.1093/ecco-jcc/jjad212.0171

P041 Assessment of Serum Biomarkers associated with Vedolizumab Therapy Response in Inflammatory Bowel Disease

2024· article· en· W4391162615 on OpenAlexaff
J E A O'Connell, Ruth Argue, Mary Dunne, Fiona O’Connell, Niall Breslin, G Cullen, Glen Doherty, Cara Dunne, Karen Hartery, Mohd Syafiq Ismail, F MacCarthy, P. F. McDonagh, Susan McKiernan, Deirdre McNamara, Hugh Mulcahy, Anthony O’Connor, Barbara M. Ryan, Juliette Sheridan, Jeff O’Sullivan, David Kevans

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsTrinity College
Fundersnot available
KeywordsVedolizumabMedicineInflammatory bowel diseaseDiseaseInternal medicineInflammatory Bowel DiseasesGastroenterologyImmunology

Abstract

fetched live from OpenAlex

Abstract Background Vedolizumab (VDZ) is an anti α4β7-integrin inflammatory bowel disease (IBD) therapy postulated to reduce immune cell trafficking to the intestine. A significant proportion of patients fail to respond to VDZ. We aimed to assess the effect of VDZ on a panel serum inflammatory proteins (IPs) during induction therapy for IBD with the aim of identifying a serum biomarker of VDZ therapy response. We also aimed to gain further insights in VDZ mechanism of action by evaluating changes in serum IP concentrations during induction. Methods Patients commencing VDZ for IBD were prospectively recruited. All received standard VDZ induction. Baseline and week 6 serum concentrations of 54 IPs were measured by ELISA (Meso Scale Discovery, USA). Clinical outcomes were evaluated at weeks 14 and 30 of VDZ therapy. Corticosteroid-free remission (SFR) was defined as persistence of VDZ therapy, absence of corticosteroid therapy, a partial Mayo score ≤1 Ulcerative Colitis (UC) or HBI <5 Crohn’s Disease (CD). The associations between baseline serum IP concentrations and VDZ therapy outcome at weeks 14 and 30 were evaluated. Changes in IP concentrations from week 0 to week 6 of VDZ therapy were assessed. P values <0.05 following multiple test correction were considered significant in all analyses. Results Thirty-nine patients were included: 51% male, 51% UC, median [range]: age 52 [18.2-75.8] years; disease duration 13.4 [0.4–40.8] years; clinical Mayo subscore 4 [0–9]; and HBI 7 [1–20]. 28(72%) had received prior anti-TNF therapy. In univariate analysis, at higher baseline serum TNF-β concentration and lower IL-22, VEGF-C, and IL-7 concentrations were associated with week 14 SFR, p values p=0.003, 0.034, 0.042, and 0.045 respectively. Higher baseline serum IL-4, MDC and MCP-4 concentrations and lower baseline IL-10 concentration were associated with week 30 SFR, p=0.011, 0.026, 0.028 and 0.03 respectively. Significance was not maintained after correction for multiple testing. From baseline to week 6 post VDZ initiation, significant increases were observed in the concentration of six IPs: bFGF, eotaxin, eotaxin-3, MIP-1β, TARC and TNF-β, p=0.034, 0.0012, 0.0013, 0.043, 0.015 and 0.0077 respectively; and a significant decrease in one IP, IL-15, p=0.0004. The significant changes observed in IL-15, eotaxin, and eotaxin-3 concentrations from baseline to week 6 following VDZ initiation remained significant after multiple test correction. Conclusion No serum inflammatory protein was identified as a biomarker of SFR in patients receiving VDZ therapy for IBD. VDZ was observed to significantly affect serum IPs known to be involved in chemotaxis. Further study is required to identify biomarkers of VDZ therapy response.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.006
GPT teacher head0.258
Teacher spread0.252 · 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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