Reduction of disulfide bonds within anti‐D results in enhanced Fcγ receptor blockade
Bibliographic record
Abstract
BACKGROUND: We have investigated whether chemicals known to disrupt disulfide bonds are capable of altering immunoglobulin anti-D structure resulting in an increased efficacy of the chemically modified anti-D to inhibit Fcgamma receptor (FcgammaR)-mediated phagocytosis. If successful, this would provide a rationale to explore this mechanism of enhancing FcgammaR blockade for future use in immunoglobulin therapies for immune cytopenias. STUDY DESIGN AND METHODS: Anti-D that was shown to block 50 percent of the FcgammaR-mediated phagocytosis of opsonized red blood cells (RBCs) using a monocyte monolayer assay (MMA) was combined with two different thiol-containing compounds, dithiothreitol (DTT) or p-toluenesulfonylmethyl mercaptan, with or without treatment with iodoacetamide, and allowed to react. Excess chemical was removed by extensive dialysis. FcgammaR blockade was assessed by MMA with dialyzed, untreated, or chemically treated anti-D using both D+ and D- opsonized target RBCs. Toxicity was determined by fluorescence-activated cell sorting. Aggregates and oligomerization of chemically treated anti-D were examined using gel filtration-high pressure liquid chromatography. RESULTS: Using disulfide-reducing compounds to chemically modify anti-D significantly increases the efficacy of the anti-D to induce an FcgammaR blockade and decrease phagocytosis in vitro of opsonized D+ or D- RBCs. This effect was shown not due to unbound residual chemical, toxicity, or formation of immunoglobulin G oligomers. S-alkylation was required when using low concentrations of reducing compound. CONCLUSION: Our results demonstrate that irreversible reduction of interchain disulfide bonds within the immunoglobulin anti-D results in a significantly increased efficacy to inhibit FcgammaR-mediated phagocytosis regardless of opsonized target cell. With the use of this strategy, more effective and less expensive immunoglobulin treatment for immune cytopenias such as immune thrombocytopenic purpura or autoimmune hemolytic anemia may be developed.
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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 | 0.000 |
| 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 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".