Anti-Thyroglobulin IgG in Therapeutic Immunoglobulins: A Reactivity Bias in IgG4 Subclass
Bibliographic record
Abstract
Therapeutic immunoglobulins are used in the treatment of immunodeficiencies as well as several autoimmune and inflammatory diseases. These intravenous immunoglobulins (IVIg) represent the healthy human IgG repertoire, which can be reactive for both self and non-self antigens. A better characterization of IVIg’s repertoire is an important aspect to enable its effective utilization as an immunomodulatory treatment. In this study we have investigated the reactivity of IgG1, IgG2, IgG3 and IgG4 present in IVIg for a small selection of antigens, including actin, DNA, ferritin and thyroglobulin. We observed that two commercial preparations of therapeutic immunoglobulins contain very high reactivity for thyroglobulin, which was predominantly detected by IgG4. Since IgG4 antibodies can have immunomodulatory properties, these result suggest that these anti-thyroglobulin may have a role in the IVIg treatment of autoimmune disease characterized by high avidity for anti-thyroglobulin antibodies such as Hashimoto’s disease.
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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 | 0.002 | 0.001 |
| 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 | 0.001 | 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".