Autoantibodies to the epidermal growth factor receptor in systemic sclerosis, lupus, and autoimmune mice
Bibliographic record
Abstract
Autoantibodies to the recombinant extracellular domain of epidermal growth factor receptor (exEGFR) were detected by ELISA in the serum of Fas‐defective old MRL/MpJ/lpr and C3H/HeJ/gld mice, but not young mice from these strains, or nonautoimmune young and old BALB/c, MRL/MpJ/++, and C3H/HeJ/MMTV mice. Compared with control human subjects without autoimmune disease, the frequency of exEGFR‐binding autoantibodies was increased in scleroderma (systemic sclerosis) patients and to a lesser extent in lupus patients. Phage autoantibodies (Fv fragments) isolated from a lupus library by selection on a linear epitope of EGFR (residues 294–310) displayed the ability to bind exEGFR. Treatment of EGFR‐expressing A431 cells with autoantibodies purified by affinity chromatography on immobilized exEGFR resulted in specific staining of the cells. Shortlived but strong inhibition of cellular DNA synthesis was observed in the presence of the autoantibodies. We concluded that autoantibody responses to EGFR hold the potential of fulfilling a pathogenic role in autoimmune disease.—Planque, S., Zhou, Y.‐X., Nishiyama, Y., Sinha, M., O'Connor‐McCourt, M., Arnett, F.C., Paul, S. Autoantibodies to the epidermal growth factor receptor in systemic sclerosis, lupus, and autoimmune mice. FASEB J . 17, 136–143 (2003)
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".