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Record W2799853540 · doi:10.1177/247553031016a00102

Cellular Interactions in Vitro: Psoriatic Keratinocytes Enhance T Lymphocyte Survival

2010· article· en· W2799853540 on OpenAlexaff
Marie-Michèle Rosa Fortin, Patrice E. Poubelle, Jacques Soucy, Roxane Pouliot

Bibliographic record

VenuePsoriasis Forum · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsHôpital de l'Enfant-JésusUniversité LavalInstitute for Research in Immunology and CancerHôpital du Saint-Sacrement
Fundersnot available
KeywordsPsoriasisPropidium iodideAnnexinIn vitroFlow cytometryImmunologyKeratinocyteT lymphocyteLymphocyteImmune systemCancer researchApoptosisMedicineBiologyProgrammed cell death

Abstract

fetched live from OpenAlex

Background The pathogenesis of psoriasis vulgaris is attributed to an immune dysregulation of T lymphocytes, and psoriatic plaques result from interactions between keratinocytes and T lymphocytes. Objective To decipher the impact of keratinocyte-T lymphocyte interactions on cell survival during active cutaneous psoriasis by using a new in vitro model of psoriasis. Methods Cocultures of psoriatic or healthy keratinocytes were performed with normal human blood T lymphocytes. Apoptosis was detected by flow cytometry after labeling cells with annexin V and propidium iodide. Results Psoriatic keratinocytes were significantly more efficient than healthy keratinocytes in enhancing T lymphocyte survival. Conclusion Our in vitro model is pertinent to understanding the immunopathogenesis of psoriasis and to discovering new pharmacological targets.

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 score0.004
Threshold uncertainty score0.013

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.254
Teacher spread0.241 · 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

Citations3
Published2010
Admission routes1
Has abstractyes

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