The Potential Uses of Omega-3 Fatty Acids in Dermatology: A Review
Bibliographic record
Abstract
BACKGROUND: A growing interest exists in the relationship between diet and skin disease, with many recent studies identifying a role for omega-3 fatty acids (O3FAs) in various dermatological conditions. OBJECTIVE: Our objective was to identify the spectrum of uses for O3FA supplementation reported in literature and to evaluate the current level of evidence for its clinical application in skin disease prevention and management. METHODS: A search was conducted using Ovid MEDLINE for primary literature that examined O3FA intake and skin health. A manual search of reference lists was performed to identify additional articles for inclusion. RESULTS: A total of 38 studies met eligibility for review, reporting benefits for O3FA supplementation in the treatment of psoriasis, atopic dermatitis, acne, and skin ulcers. Additionally, a reduced incidence of skin cancer and a decrease in the severity of drug-associated mucocutaneous side effects were reported with O3FA supplementation. CONCLUSION: This review yielded many well-studied benefits of O3FA uses in dermatology. Given its high safety profile, low cost, and ease of supplementation, O3FA is a reasonable supplement that may benefit patients wishing to improve inflammatory skin conditions through diet. Areas of particular clinical interest where supplementation may be valuable include O3FAs for systemic UV photoprotection, as well as adjuvant treatment for acne to reduce both inflammatory lesion count and the severity of mucocutaneous side effects associated with isotretinoin use.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".