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Record W2580750635 · doi:10.1182/blood.v106.11.217.217

Immune Thrombocytopenia Mediated by Anti-GPIbα Antibodies May Occur Via an FcR-Independent Pathway: A Potential Explanation for Refractory Cases to IVIG Therapy.

2005· article· en· W2580750635 on OpenAlexaff
Michelle Webster, Ebrahim Sayeh, Min Crow, Pingguo Chen, Bernhard Nieswandt, John Freedman, Heyu Ni

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsCanadian Blood ServicesUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsAntibodyPlateletImmunologyPlatelet Glycoprotein GPIb-IX ComplexMedicineMonoclonal antibodyImmune thrombocytopeniaRefractory (planetary science)Platelet membrane glycoproteinReceptorImmune systemBlockadeInternal medicineBiology

Abstract

fetched live from OpenAlex

Abstract Intravenous immunoglobulin G (IVIG) is used to treat immune thrombocytopenia (ITP). While benefit has been observed in many cases, for unknown reasons some patients are refractory to this therapy. ITP is characterized by platelet clearance mainly mediated by antibodies against platelet surface glycoproteins (GP) GPIIbIIIa and GPIbα. Approximately 70–80% patients have antibodies against GPIIbIIIa, 20–40% patients have antibodies against GPIbα complex, and some patients have antibodies to both. Phagocytotic macrophages activated via their Fc receptors (FcR) are thought to be responsible for the clearance of opsonized platelets. However, anti-GPIbα antibodies may be able to induce ITP in an FcR-independent manner. Since the prevailing view of the mechanism of action of IVIG is Fc receptor blockade, we hypothesized that IVIG may not be effective at preventing thrombocytopenia induced by anti-GPIbα antibodies. Thrombocytopenia was induced in BALB/c mice using monoclonal antibodies against mouse GPIbα (p0p3, p0p4, p0p5, p0p9, and p0p11). Pretreatment with different doses of IVIG (1, 2, and 4g/kg of mouse) failed to prevent ITP in all anti-GPIbα-treated mice, except for p0p4. These results were repeated with p0p3, p0p4, and p0p5 using 2g/kg IVIG in C57BL/6 mice, and using 2g/kg of a different IVIG preparation. It has been shown that F(ab)2’ fragments of the p0p antibodies can induce thrombocytopenia to the same extent as intact antibodies. To confirm that these anti-GPIbα antibodies act in an FcR-independent manner, we demonstrated that p0p3, p0p4, and p0p5 are able to induce thrombocytopenia in mice lacking activating Fc receptors (FcRγ chain −/−). Interestingly, IVIG was still able to prevent thrombocytopenia induced by p0p4 in these FcRγ chain −/− mice. We demonstrated in vitro that there are no anti-idiotype antibodies against any of the anti-GPIbα antibodies used present in IVIG. Thus, the amelioration of thrombocytopenia in p0p4-treated mice is not due to a neutralization of the antibody by IVIG. In contrast to the anti-GPIbα antibodies, anti-GPIIbIIIa monoclonal antibodies (JON1, JON2, and JON3) that induce thrombocytopenia were sensitive to IVIG treatment, which is consistent with earlier studies using other monoclonal antibodies against GPIIbIIIa. Also, JON2 was unable to induce thrombocytopenia in FcRγ chain −/− mice, confirming that this anti-GPIIbIIIa antibody is FcR-dependent. Our results suggest that ITP induced by anti-GPIbα antibodies may be mediated by FcR-independent mechanisms, many of which may be refractory to IVIG therapy. Thus, IVIG may not be as effective in treating patients with predominantly anti-GPIbα antibodies.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.283
Teacher spread0.264 · 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
Published2005
Admission routes1
Has abstractyes

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