Immunoglobulin G dimers and immune complexes are dispensable for the therapeutic efficacy of intravenous immune globulin in murine immune thrombocytopenia
Bibliographic record
Abstract
BACKGROUND: Several mechanisms have been proposed to explain the therapeutic effects of intravenous immunoglobulin (IVIG) in immune thrombocytopenia (ITP). Noteworthy, a major role has been attributed to immunoglobulin (Ig)G dimers present in IVIG. It has also been suggested that immune complexes formed between IVIG and the patient's proteins after infusion could contribute to the therapeutic effect of IVIG in several autoimmune disorders. We recently observed that in-house preparations of polyclonal human IgG derived from small pools of plasma and devoid of IgG dimers were as efficient as IVIG in a mouse model of thrombocytopenia. In this work, we revisited the role of IgG dimers in the therapeutic effects of IVIG in ITP. STUDY DESIGN AND METHODS: We used the passive mouse model of ITP to determine the therapeutic efficacy of human IgG preparations devoid of IgG dimers and of dimer-enriched and -depleted commercial IVIG. Immune complex formation between IVIG and mouse plasma proteins was evaluated using a combination of chromatography and immunoprecipitation procedures. RESULTS: All preparations tested showed the same efficacy to alleviate ITP, regardless of their dimer contents. Significant amounts of immune complexes formed between IVIG and mouse plasma proteins were detected. However, the amount of immune complexes detected using the in-house preparation of human polyclonal IgG and mouse plasma was significantly lower, although the in-house preparation exhibited the same therapeutic efficacy as commercial IVIG. CONCLUSION: IgG dimers and immune complexes are dispensable to prevent thrombocytopenia in a mouse model of the disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 | 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".