Type 1 interferon signature in the scalp lesions of alopecia areata
Bibliographic record
Abstract
BACKGROUND: Autoimmune attack of the bulbar region of anagen phase hair follicles by CD8+ T cells and Th1 cytokines has been proposed to result in hair loss in alopecia areata (AA). The initiating stimuli are unknown. As interferon-alpha therapy may trigger AA, we propose that type 1 interferons are involved in the induction of disease. OBJECTIVES: To compare lesional scalp from patients with AA with scalp lesions of cutaneous diseases associated with local type 1 interferon-related protein expression. METHODS: Lesional scalp of patients with AA, discoid lupus erythematosus, lichen planopilaris and androgenetic alopecia was examined by immunohistochemistry for expression of the type 1 interferon-inducible myxovirus protein A (MxA), the chemokine receptor CXCR3, and the cytotoxic proteins granzyme B (GrB) and T-cell intracytoplasmic antigen 1 (TiA-1). RESULTS: MxA was expressed in the intradermal and subcutaneous compartments of the hair follicle including sebaceous glands in inflammatory AA similar to lesions of cicatricial alopecia (discoid lupus erythematosus, lichen planopilaris) but not in the epidermal compartment of AA, and not at all in noninflammatory AA or androgenetic alopecia. The location of CXCR3-expressing cells correlated with MxA expression. The inflammatory cells around the hair follicle in AA included a lower number of GrB+ and TiA-1+ cells compared with cicatricial alopecia and demonstrated predominant TiA-1+ expression. CONCLUSIONS: We demonstrate the expression of type 1 interferon-related proteins in the inflammatory lesions of AA. The distribution pattern of the interferon signature and cytotoxicity-associated proteins in AA differs from cicatricial alopecia.
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 | 0.001 | 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".