The Microbiome in Psoriasis and Psoriatic Arthritis: The Skin Perspective
Bibliographic record
Abstract
Psoriasis is a chronic, inflammatory immune-mediated skin disease that affects about 2% of the world’s population. In 20% of patients with psoriasis, the characteristic skin lesions are accompanied by psoriatic arthritis (PsA). Psoriasis arises in genetically predisposed individuals who have a dysregulated immune response to various environmental factors. The human body is home to many microbial species, and both the skin and the gut microbiome influence the development and function of immune tissue development and function. Studies on the cutaneous microbiome show a trend toward an increased relative abundance of Streptococcus and a decreased level of Propionibacterium in patients with psoriasis compared to healthy controls. In the gut microbiome, the ratio of Firmicutes and Bacteroidetes was perturbed in psoriatic individuals compared to healthy controls. Actinobacteria was relatively underrepresented in patients with psoriasis compared to healthy individuals. A decrease in skin microbiome flora diversity seems to be a sign that a patient with psoriasis is at elevated risk for developing arthritis. Modulating the skin microbiota for therapeutic reasons can be achieved by antimicrobial (antibiotic) therapy, the application of prebiotics or probiotics, or the transplantation of an entire healthy microbial population.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".