Human Anti-IgG1 Hinge Autoantibodies Reconstitute the Effector Functions of Proteolytically Inactivated IgGs
Bibliographic record
Abstract
A number of proteases of potential importance to human physiology possess the ability to selectively degrade and inactivate Igs. Proteolytic cleavage within and near the hinge domain of human IgG1 yielded products including Fab and F(ab')(2) possessing full Ag binding capability but absent several functions needed for immune destruction of cellular pathogens. In parallel experiments, we showed that the same proteolytically generated Fabs and F(ab')(2)s become self-Ags that were widely recognized by autoantibodies in the human population. Binding analyses using various Fab and F(ab')(2), as well as single-chain peptide analogues, indicated that the autoantibodies targeted the newly exposed sequences where proteases cleave the hinge. The point of cleavage may be less of a determinant for autoantibody binding than the exposure of an otherwise cryptic stretch of hinge sequence. It was noted that the autoantibodies possessed an unusually high proportion of the IgG3 isotype in contrast to Abs induced against foreign immunogens in the same human subjects. In light of the recognized potency of IgG3 effector mechanisms, we adopted a functional approach to determine whether human anti-hinge (HAH) autoantibodies could reconstitute the (missing) Fc region effector functions to Fab and F(ab')(2). Indeed, in in vitro cellular assays, purified HAH autoantibodies restored effector functions to F(ab')(2) in both Ab-dependent cellular cytotoxicity and complement-dependent cytotoxicity assays. The results indicate that HAH autoantibodies selectively bind to proteolytically cleaved IgGs and can thereby provide a surrogate Fc domain to reconstitute cell lytic functions.
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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 | 0.000 | 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) | 0.001 | 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 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".