Ashes to Rashes: An Exploration of the Intersection Between Smoking and Cutaneous Lupus Erythematosus
Bibliographic record
Abstract
Cutaneous lupus erythematosus is an autoimmune skin disorder with a known association with cigarette smoking. Smokers with cutaneous lupus have a worse disease course and may be refractory to treatments. Despite many studies documenting this association, minimal work exists examining the molecular drivers of these clinical differences. This review delves into how cigarette smoke may influence key immunopathogenic pathways in cutaneous lupus, including oxidative stress, interferon signaling, inflammatory cell recruitment, extracellular vesicles, and immune regulation. Additionally, factors such as epigenetics and heat injury are considered as well. Here, we integrate the existing and emerging literature on the pathophysiology of cutaneous lupus with known effects of cigarette smoke on the skin and immune system and propose hypotheses that may explain clinical differences in smokers. Understanding the molecular underpinnings of these differences may yield a clearer picture of the disease and more effective treatment strategies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".