"Gut-skin"axis: understanding psoriasis from the gut
Bibliographic record
Abstract
Background: The exact pathogenesis of psoriasis is complex, and scholars use the intestinal mucosal immunity as an entry point to analyze the important role of the intestine in the pathogenesis of psoriasis. Traditional Chinese medicine treats psoriasis from the intestine based on the theory that "the lung governs the fur" and "the Interior-Exterior Relationship Between the Lung and Large Intestine". Based on this understanding, this paper puts forward the idea of understanding psoriasis from the "gut-skin" axis. Objective: Based on the "gut-skin" axis to explore the pathogenesis of psoriasis from the intestines, and open up new ideas for research and development of new drugs for psoriasis. Method: Collect literature on the treatment of psoriasis from the perspective of the intestine and "gut-skin" axis; then, use Western medicine's intestinal pathogenesis, Traditional Chinese Medicine (TCM) theory and examples of TCM treatment are demonstrated; finally, the treatment of psoriasis from the "gut-skin" axis is summarized. Results: Western medicine has not carried out treatment of psoriasis involving the intestinal tract. In-depth research and clinical applications based on the "gut-skin" axis are still needed. The effective rate of treating psoriasis by TCM has been as high as 90%, but the mechanism research is relatively scarce. Conclusion: The construction of the "gut-skin" axis mechanism is consistent with TCM theories, and is consistent with modern scientific connotations as well.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".