Modulation of immunoglobulin G oligomerization by variable domain glycans: A mechanism to regulate complement activation
Bibliographic record
Abstract
Immunoglobulin G (IgG) is a glycoprotein harboring conserved fragment crystallizable domain glycans, but it can also express variable domain glycans (VDGs). Elevated levels of VDGs are a hallmark of the autoantibodies most specific to rheumatoid arthritis and are also associated with other autoimmune diseases. Nonetheless, the effect of VDGs on IgG function remains poorly understood. This study investigates the impact of VDGs on the ability of antibodies to activate the complement system, a key immune effector mechanism. We demonstrate that VDGs on IgG inhibit the initiation of the classical complement pathway, as evidenced by complement activation assays with IgG displaying varying degrees of VDGs. Structure-function analyses show that VDGs reduce classical complement activation by impeding IgG oligomer formation on antigenic surfaces. As IgG oligomerization is essential for effective C1q binding, VDG-mediated interference with this process lowers IgG's complement activation potential. This impaired ability to recruit complement was further substantiated through direct visualization of IgG oligomer-C1q complexes on antigen-coated vesicles by cryoelectron tomography. Together, these data reveal that VDGs increase the functional diversity of IgG and identify a novel regulatory mechanism that modulates the ability of antibodies to activate one of their main immune effector mechanisms.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".