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Record W3022078420 · doi:10.2340/00015555-3505

Oncostatin M Induction of Monocyte Chemoattractant Protein 1 is Inhibited by Anti-oncostatin M Receptor Beta Monoclonal Antibody KPL-716

2020· article· en· W3022078420 on OpenAlexafffund
Carl D. Richards, Roopali Gandhi, Fernando Botelho, Louisa Ho, John F. Paolini

Bibliographic record

VenueActa Dermato Venereologica · 2020
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsMcMaster University Medical Centre
FundersKiniksa PharmaceuticalsMcMaster University
KeywordsOncostatin MLeukemia inhibitory factorLeukemia inhibitory factor receptorHuman skinMonoclonal antibodyMedicineCancer researchMolecular biologyInterleukin 6ImmunologyCytokineBiologyAntibody

Abstract

fetched live from OpenAlex

To evaluate cellular response to oncostatin M (OSM) in comparison to interleukin (IL)-31, we analyzed monocyte chemoattractant protein 1 (MCP-1) as a readout for OSM responses with and without IL-4, IL-13, anti-OSM receptor β monoclonal antibody KPL-716, and anti-IL-31 receptor α antibody in human epidermal keratinocytes and human dermal fibroblasts in vitro. In human epidermal keratinocytes, OSM significantly induced STAT3 or STAT1 phosphorylation and synergized with IL-13 or IL-4 in elevating MCP-1. In human dermal fibroblasts, OSM results were similar, and leukemia inhibitory factor or IL-31 minimally activated STAT3 but not MCP-1. OSM significantly stimulated mRNA for type II IL-4 receptor and type II OSM receptor. KPL-716, not anti-IL-31Rα, significantly attenuated MCP-1 response to OSM and OSM + IL-4 in human epidermal keratinocytes and human dermal fibroblasts. OSM, not leukemia inhibitory factor or IL-31, synergized with IL-4 and IL-13 in human epidermal keratinocytes and human dermal fibroblasts, suggesting therapeutic potential of KPL-716 in inflammatory dermatologic diseases distinct from IL-31 inhibition.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.287
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 teacher head, not a consensus.

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

Citations21
Published2020
Admission routes2
Has abstractyes

Explore more

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