CD109 Restrains Activation of Cutaneous IL-17-Producing γδ T Cells by Commensal Microbiota
Bibliographic record
Abstract
Interleukin-17-producing γδ T (γδ17) cells play a central role in protective and pathogenic immune responses. However, the tissue-specific mechanisms that control the activation of these innate lymphocytes are not known. Here, we demonstrate that CD109, a glycosylphosphatidylinositol (GPI)-anchored protein highly expressed by keratinocytes, is an important regulator of skin homeostasis and γδ17 cell activation. Genetic deletion of CD109 results in spontaneous epidermal hyperplasia, aberrant accumulation of dermal-derived γδ17 cells, and enhanced susceptibility to psoriasiform inflammation. In this context, γδ17 activation requires interleukin (IL)-23 signals and is reversed by transient depletion of the skin microbiota. Mechanistically, CD109 restrains γδ17 cell activation in a cell-extrinsic manner by fortifying skin barrier integrity. Collectively, our data provide insight into the regulation of the skin IL-23/IL-17 immune axis and how homeostasis is maintained at this important barrier site.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".