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Record W4391164465 · doi:10.1093/ecco-jcc/jjad212.0257

P127 Sphingosine-1-Phosphate Receptor Blockade with Etrasimod alters Lymphocyte Trafficking in Crohn's Disease: Insights from High-Dimensional Phenotypic Mapping

2024· article· en· W4391164465 on OpenAlexaff
Dimitrios Nikolakis, M Pruijt, Vera E. Aberkrom, F de Voogd, Diogo Branquinho, C Crosby, C Teichert, M. G. H. Van de Sande, Joep Grootjans, Geert D’Haens

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsSphingosine-1-phosphate receptorBlockadeSphingosine-1-phosphatePhenotypeLymphocyteCrohn's diseaseReceptorSphingosineImmunologyDiseaseBiologyCell biologyMedicineInternal medicineBiochemistryGene

Abstract

fetched live from OpenAlex

Abstract Background The blockade of lymphocyte trafficking from the lymph nodes (LNs) towards the intestinal mucosa is an effective approach for the treatment of ulcerative colitis (UC). Etrasimod is an oral, once-daily (QD), selective sphingosine 1-phosphate (S1P)1,4,5 receptor (S1PR) modulator, which is currently also under investigation for Crohn’s disease (CD). The therapeutic mechanism of action of S1PR modulators in the context of inflammatory bowel disease (IBD) is not completely understood. It is hypothesized that both B and T- cell populations are affected by this treatment and are retained in the peripheral LNs, reducing circulating lymphocytes and resulting in fewer immune cells available to traffic in the gastrointestinal tract. Etrasimod has been reported to induce a partial and selective reduction of lymphocyte subsets in the blood of healthy subjects, but the direct effect of S1PR modulators on LN leukocytes has not been evaluated. The aim of this study was to investigate changes in leukocyte subpopulations in peripheral LNs and peripheral blood (PB) in response to S1PR inhibition with etrasimod in patients with CD. Methods CD patients with moderate to severe disease activity, participating in the Phase 2, double-blinded, non-placebo-controlled portion of the CULTIVATE trial, were eligible for this sub-study. At baseline and after 14 weeks of etrasimod induction treatment (2 or 3 mg/day), 10cc of PB and 4 ultrasound guided biopsy samples of an inguinal LN were obtained. The isolated peripheral blood mononuclear cells (PBMCs) and LN leukocyte populations, were analyzed at single cell level via high-dimensional immunophenotyping through mass cytometry (CyTOF) at both timepoints. Results We observed that in the LNs, the numbers/percentages of naïve, central and effector memory T-helper cells, as well as, of CD8+ naïve T-cells were increased after treatment with etrasimod. There was a decrease in the proportion of these cell populations in peripheral blood. Circulating naïve and memory B-cells were reduced, while these subsets where also slightly reduced in the LN compartment. Innate immune cell populations were not significantly altered. Conclusion Etrasimod induction treatment resulted in an increase of both naïve and central memory T-lymphocyte subsets in inguinal LNs, with a corresponding decrease in the periphery. The effect on the frequency of B-cells was not consistent in the LNs and PB, while innate immunotypes and T-regs, were not significantly affected. Despite the limited sample size, these selective effects were consistent with previously published PB immunophenotyping studies with etrasimod. This study was conducted as a collaboration between Amsterdam UMC and Pfizer.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.005
GPT teacher head0.208
Teacher spread0.203 · 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 designBench or experimental
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

Citations1
Published2024
Admission routes1
Has abstractyes

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