Topical Application of Doxycycline Inhibits Th2 Cell Development Mediated by Langerhans Cells and Exerts a Therapeutic Effect on Atopic Dermatitis
Bibliographic record
Abstract
BACKGROUND: Langerhans cells (LCs) polarize the immune milieu towards a T helper type (Th) 1 or Th2 immune response. We investigated the effects of selected tetracyclines on Th cells development mediated by LCs, and their implications for the treatment of atopic dermatitis (AD). METHODS: Mice were primed with ovalbumin (OVA) peptide-pulsed LCs, which had been treated with each antibiotic, via the hind footpad. After 5 days, the Th1/Th2 cytokine response in the popliteal lymph nodes was investigated by enzyme-linked immunosorbent assay. The expression of cell surface molecules on LCs was investigated using reverse transcriptase polymerase chain reaction. The therapeutic effects of a selected antibiotic on AD-like skin lesions of NC/Nga mice were assessed in terms of the skin severity score, histological changes in the lesioned skin, the serum level of total IgE, and expression of Th1/Th2 cytokines in lymph nodes and skin lesions. RESULTS: Antibiotic-treated, OVA peptide-pulsed LCs inhibited development of Th2 cells but not Th1 cells. This was accompanied by suppression of T-cell immunoglobulin and mucin domain-containing protein (TIM)-4 expression in LCs. Doxycycline had the greatest activity against Staphylococcus aureus strains isolated from skin lesions of patients with AD, and a strong inhibitory effect on Th2 cell development. Doxycycline suppressed the increase in the skin severity score during the acute phase in NC/Nga mice similar to betamethasone. This suppressive effect was associated with a decrease in the serum IgE level and production of Th2 cytokines in auricular lymph node cells and skin lesions. CONCLUSION: Topical application of doxycycline to AD lesions would act on both superficial S. aureus colonization and epidermal LCs, thus possibly inhibiting the development of Th2 cells in vivo, with benefits for control of acute inflammation 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".