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Record W4391162557 · doi:10.1093/ecco-jcc/jjad212.0094

DOP54 Guselkumab and golimumab combination induction therapy in Ulcerative Colitis results in early local tissue healing that is sustained through guselkumab maintenance therapy

2024· article· en· W4391162557 on OpenAlexaff
Dylan K. Richards, M Vetter, Matthew Germinaro, Bram Verstockt, Raja Atreya, Julián Panés, Bruce E. Sands, Brian G. Feagan, Bradford L. McRae, Daniel Cua, Patrick Branigan, Tom C. Freeman

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWestern University
Fundersnot available
KeywordsGolimumabMedicineUlcerative colitisMaintenance therapyInduction therapyInternal medicineTumor necrosis factor alphaChemotherapyAdalimumabDisease

Abstract

fetched live from OpenAlex

Abstract Background Combination induction therapy with guselkumab (GUS), an interleukin (IL)-23p19 subunit antagonist, and golimumab (GOL), a tumor necrosis factor (TNFα) antagonist, induced higher rates of clinical remission, endoscopic, and histologic outcomes than either monotherapy at Week (WK)12 in patients (pts) with ulcerative colitis (VEGA NCT03662542). Data through WK38 suggested the continued benefit of combination induction even after a transition to GUS monotherapy at WK12. We explored early molecular changes in colon tissue in a subset of pts at WK4 to define mechanistic contributions of each monotherapy and combination; these parameters were evaluated again at WK38 to assess potential carry-over of efficacy. Methods Colon biopsies were obtained at baseline (n=195), WK4 (n=42 substudy), and WK38 (n=172). Transcriptional profiles were generated with RNA sequencing (RNAseq). Gene correlation network analysis was applied in conjunction with publicly available single cell RNAseq data to define biologically relevant bulk and cell type-specific transcriptional modules associated with molecular features of disease. Gene set variation analysis (GSVA) was used to quantitatively assess changes in biologic modules with treatment. Results At WK4, combination induction (n=10) showed significant (p<0.05) decreases in molecular features compared to GUS (n=19) and GOL (n=13), including transcriptomic modules representing the IL-23 pathway, interferon response, and inflammatory epithelial and myeloid transcriptional states associated with endoscopic improvement at WK4 (Mayo endoscopy subscore of 0 or 1) (combination 5/11, GOL 1/13; GUS 2/19). Reduction (p<0.05) in inflammatory modules persisted through WK38 with combination vs monotherapy induction. Module changes between treatments at WK4 indicated a stronger correlation between GUS and combination (R=0.8; p=2.2e-16) than GOL and combination (R=0.52; p=4.1e-12), with processes associated with epithelial and stromal biology, and mucosal inflammation. In contrast, the combination effect on specific neutrophil/myeloid biology at WK4 was more similar to GOL than GUS, supporting the early role of GOL in targeting innate inflammation. Conclusion Combination induction with GUS and GOL showed significant reductions in major inflammatory features of disease as early as WK4 which persisted through WK38 with GUS maintenance. Correlative analysis supports the role of GUS as the primary driver of tissue healing, with GOL further contributing to innate inflammatory activity, which demonstrate differential and complementary mechanisms of action of TNFα and IL-23p19 subunit blockade.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.013
GPT teacher head0.273
Teacher spread0.260 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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