The role of phosphodiesterase 4 in the pathophysiology of atopic dermatitis and the perspective for its inhibition
Bibliographic record
Abstract
Atopic dermatitis (AD) is a highly prevalent, chronic inflammatory skin disease that affects children and adults. The pathophysiology of AD is complex and involves skin barrier and immune dysfunction. Many immune cytokine pathways are amplified in AD, including T helper (Th) 2, Th22, Th17 and Th1. Current treatment guidelines recommend topical medications as initial therapy; however, until recently, only two drug classes were available: topical corticosteroids (TCSs) and topical calcineurin inhibitors (TCIs). Several limitations are associated with these agents. TCSs can cause a wide range of adverse effects, including skin atrophy, telangiectasia, rosacea and acne. TCIs can cause burning and stinging, and the prescribing information lists a boxed warning for a theoretical risk of malignancy. Novel medications with new mechanisms of action are necessary to provide better long-term control of AD. Phosphodiesterase 4 (PDE4) regulates cyclic adenosine monophosphate in cells and has been shown to be involved in the pathophysiology of AD, making it an attractive therapeutic target. Several PDE4 inhibitors are in clinical development for use in the treatment of AD, including crisaborole, which recently became the first topical PDE4 inhibitor approved for treatment of mild to moderate AD. This review will further describe the pathophysiology of AD, explain the possible role of PDE4 in AD and review PDE4 inhibitors currently approved or being investigated for use in AD.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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.
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 source (direct Gemma or distilled Codex), 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".