Cytokine autoantibodies in SARS-CoV-2 prepandemic and intrapandemic samples from an SLE cohort
Bibliographic record
Abstract
Cytokine autoantibodies, particularly those directed to type I interferon (T1IFN), have been reported to portend an increased risk of severe COVID-19. Since SLE is one of the conditions historically associated with T1IFN autoantibodies, we sought to determine the prevalence of cytokine autoantibodies in our local cohort of 173 patients with SLE prepandemic and intrapandemic, of which nine had confirmed exposure to SARS-CoV-2. Autoantibodies to 16 different cytokines, including T1IFN, were measured by an addressable laser bead immunoassay. None of the 9 patients with confirmed exposure to SARS-CoV-2 had autoantibodies to T1IFN and none had severe COVID-19 symptoms, necessitating hospitalisation. Hence, we could not confirm that TIIFN autoantibodies increase the risk for severe COVID-19. In addition, the cytokine autoantibody pattern did not differ between those with and without evidence of SARS-CoV-2 exposure.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".