Long-Term Interferon-Alpha Therapy Induces Autoantibodies against Epidermis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: While interferon (IFN) is known for its immunoregulatory properties, it has also been shown to induce autoimmune disorders such as lupus erythematosus, hypothyroidism, antiphospholipid syndrome and, recently, bullous pemphigus-like eruptions. OBJECTIVE: The purpose of this study was to determine the percentage of antibodies against epidermis induced by IFN-alpha therapy, as detected by indirect immunofluorescence and Western blotting (WB). METHOD: We have studied the sera of 47 patients treated with low doses of IFN-alpha 2a for malignant melanoma or cutaneous T cell lymphoma for a period of 12 months. These sera were tested by standard IIF and WB. RESULTS: 32% of patient sera were positive after 6 months of treatment. Antibodies against epidermis were most often of the pemphigus type as confirmed by WB. Two types of labeling were noted for anti-basement membrane antibodies: basal cytoplasmic pattern in 4 sera and along the dermal side of the basal keratinocytes in 2 sera. CONCLUSION: This study brings biological arguments to confirm the direct role of IFN-alpha in the development of pemphigus-like eruption, and emphasizes the need for clinical follow-up of patients treated with IFN-alpha over a long period of time.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it