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Record W2083851362 · doi:10.1177/0961203310370045

Cutaneous lupus erythematosus: recent lessons from animal models

2010· review· en· W2083851362 on OpenAlexaff
M. Ghoreishi, JP Dutz

Bibliographic record

VenueLupus · 2010
Typereview
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsChild and Family Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsSystemic lupus erythematosusMedicineDiseasePathogenesisImmunologyImmune systemLupus erythematosusInterleukinCutaneous Lupus ErythematosusAntibodyCytokinePathology

Abstract

fetched live from OpenAlex

Cutaneous lupus erythematosus (CLE) may present as a clinically heterogeneous group of lupus-specific skin lesions that have common histopathological findings. Determination of the immunopathological sequence of events in this group of disorders has been challenging for dermatologists and immunologists but is vital for therapeutic targeting. We review animal models in which different aspects of immune alteration in CLE have been addressed. The MRL/lpr mouse develops spontaneous skin disease with some features of CLE. Study of this strain and related gene-manipulated strains has revealed roles for multiple cytokines, including interleukin (IL)-6, IL-18, and IL-21, in disease pathogenesis. A role for the growth factor colony stimulating factor 1 and the inflammatory protein high-mobility group box 1 has also been suggested. We discuss potential novel treatment options suggested by these models.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.002

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 head0.094
GPT teacher head0.375
Teacher spread0.281 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations18
Published2010
Admission routes1
Has abstractyes

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