Human tissue kallikreins as promiscuous modulators of homeostatic skin barrier functions
Bibliographic record
Abstract
Human tissue kallikreins (KLKs) are the largest family of secreted serine protease endopeptidases encoded by 15 genes clustered on chromosome 19q13.4. Multiple KLK enzymes are co-localized in the upper stratum granulosum and stratum corneum of human epidermis, and in associated appendages such as hair follicle epithelia and sweat glands. Until recently, kallikrein proteolytic activity in the skin was exclusively attributed to KLK5 and KLK7. However, wider cutaneous roles of kallikreins became evident in recent years as the proposal of KLK proteolytic activation cascades emerged. We postulate that these proteolytic enzymes may serve as promiscuous mediators of different skin barrier functions, since they are capable of proteolysing different substrates that govern skin desquamation, antimicrobial defense, and lipid permeability. Growing evidence now attests to potential kallikrein involvement in skin inflammation, pigmentation, and tumor suppression via their ability to target proteinase-activated receptor signaling pathways. Current knowledge on kallikrein roles in skin physiology and pathobiology is described in this review.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".