Hair follicle immune privilege and its collapse in alopecia areata
Bibliographic record
Abstract
Anagen stage hair follicles (HFs) exhibit "immune privilege (IP)" from the level of the bulge downwards to the bulb. Both passive and active IP mechanisms protect HFs from physiologically undesired immune responses and limit immune surveillance. IP is relative, not absolute, and is primarily based on absent, or greatly reduced, intra-follicular antigen presentation via MHC class I and II molecules, along with prominent expression of "no danger" signals like CD200 and the creation of an immunoinhibitory signalling milieu generated by the secretory activities of HFs. Perifollicular mast cells, Tregs and other immunocytes may also contribute to HF IP maintenance in healthy human skin. Collapse of anagen hair bulb IP is an essential prerequisite for the development of alopecia areata (AA). In AA, lesional HFs are rapidly infiltrated by NKG2D + T cells and natural killer (NK) cells, while perifollicular mast cells acquire a profoundly pro-inflammatory phenotype and interact with autoreactive CD8+ T cells. Using animal models, significant functional evidence has accumulated that demonstrates the dominance of the immune system in AA pathogenesis. Purified CD8+T-cell and NK cell populations alone, which secrete fγ, suffice to induce the AA phenotype, while CD4+T-cells aggravate it, and Tregs and iNKT cells may provide relative protection against AA development. While IP collapse may be induced by exogenous agents, inherent IP deficiencies might confer increased susceptibility to AA for some individuals. Thus, a key goal for effective AA management is the re-establishment of a functional HF IP, which will also provide superior protection from disease relapse.
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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".