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Record W2558690058 · doi:10.1182/blood.v120.21.268.268

Ivig, but Not a Monoclonal Anti-RBC Antibody, Requires the Presence of Gr-1+ Cells to Ameliorate Immune Thrombocytopenia in a Murine Model

2012· article· en· W2558690058 on OpenAlexaff
Andrew R. Crow, Alan H. Lazarus

Bibliographic record

VenueBlood · 2012
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsCanadian Blood Services
Fundersnot available
KeywordsImmunologyMedicineAntibodyMonoclonal antibodyImmune systemNeutropeniaPlateletChemotherapyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Abstract 268 Although there are many theories as to the mechanism of action of IVIg in the treatment of autoimmune disease, the exact pathway by which IVIg functions remains unclear. Many cell populations have been implicated in the IVIg pathway, including dendritic cells, which are considered to be one of the central initiators of IVIg effects, and macrophages, which are involved in platelet destruction. In addition, there is evidence from several groups that additional intermediary cell types may be involved. IVIg administration can induce a suppressive effect on peripheral blood neutrophil counts in ITP patients. In fact, alloimmunized thrombocytopenic patients, who display low neutrophil counts, do not respond to IVIg therapy. Here, we questioned whether Gr-1+cells (consisting primarily of neutrophils) are a critical cell type required for IVIg function, in a murine model of ITP. Another IVIg product which has ameliorative effects similar to IVIg but appears to function via a different mechanism is anti-D. We have previously shown that IVIg and a monoclonal antibody with “anti-D like” activity, TER-119, can successfully ameliorate thrombocytopenia in a murine model of ITP. In human patients as well as murine models of ITP, these 2 therapeutics appear to function via different mechanisms. Some work has shown that IVIg and anti-D work by the same, or overlapping mechanism, while other work shows a notable difference in that IVIg can cause neutropenia under conditions where it works to ameliorate autoimmune inflammation. Mice pretreated with 50 mg IVIg (∼2g/kg), or 50 ug TER-119 thirty min prior to administration of anti-platelet antibody MWReg30, show protection from thrombocytopenia compared with untreated mice. To assess the potential role for Gr-1+ cells in IVIg vs TER-119 mediated amelioration of murine ITP, we used RB6-8C5, a well described rat antibody for Gr-1+ cell depletion. Mice were injected with RB6-8C5 or control rat IgG 24 hr prior to thrombocytopenia induction. Mice pretreated with RB6-8C5 failed to respond to IVIg therapy compared with control mice. In contrast, Gr-1+ cell depletion had no effect on the ability of TER-119 to ameliorate the thrombocytopenia. This suggests that Gr-1+ cells likely play an essential role in IVIg function. In contrast, TER-119, does not depend on the presence of Gr-1+cells, suggesting that the mechanisms of action for IVIg and RBC specific antibodies are different for this requirement. In line with these observations, it has been observed that IVIg can modulate neutrophil activity, suggesting that in the murine ITP model, IVIg may function through a neutrophil dependent pathway. Experiments using more specific granulocyte antibodies will help ascertain whether neutrophils or some other Gr-1+ cell population is involved in IVIg function. Disclosures: No relevant conflicts of interest to declare.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.026
GPT teacher head0.298
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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