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Record W2912185676 · doi:10.1182/blood-2018-99-118090

Anti-Glycoprotein V Autoantibodies in Patients with Immune Thrombocytopenia: Regularly Detectable and Functionally Relevant

2018· article· en· W2912185676 on OpenAlexaff
Richard Vollenberg, Rabie Jouni, Peter A. A. Norris, Monika Burg‐Roderfeld, N. John Cooper, Mathias Rummel, Gregor Bein, Irene Marini, Alan H. Lazarus, Tamam Bakchoul, Ulrich J. Sachs

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineAutoantibodyImmunologyPlateletAntigenAntibodyAvidityImmune systemImmune thrombocytopeniaRituximabInternal medicine

Abstract

fetched live from OpenAlex

Abstract Immune thrombocytopenia (ITP) results from autoimmunization against platelet antigens. Autoantibodies (aabs) are considered to represent a major mechanism of thrombocytopenia in ITP by inducing platelet clearance from the circulation. Several lines of evidence demonstrate that aabs against glycoproteins (GP) IIb/IIIa and Ib/IX are predominant in ITP patients. Both disease severity and treatment response rates to specific therapeutics have been associated with aabs patterns. GP V is a well characterized immune target in Varicella-associated and drug-induced thrombocytopenia, but has never been studied systematically in ITP. In this study, patients with a suspected diagnosis of primary ITP were included once they met pre-defined clinical inclusion criteria. The presence of GP IIb/IIIa-, GP Ib/IX, and GP V-specific aabs was investigated by monoclonal antibody immobilization of platelet antigens (MAIPA) assay, both on patients' autologous platelets (direct MAIPA) and in serum (indirect MAIPA). In addition, serum IgG fractions were prepared from all patients with a positive direct MAIPA. IgG fractions were tested by surface plasmon resonance (SPR) technology for the presence of anti-GP V aabs. Complete data sets were obtained from 1,140 qualified patients. Platelet-bound aabs were detected in 343/1,140 patients (30.1%). Of these, 222 (64.7%) had platelet-bound anti-GP V aabs, either alone (10/222), or together with other specificities (211/222). Free anti-GP V aabs were detected in 30/222 patients by indirect MAIPA, but in 88/222 by SPR. The avidity of aabs detected by both methods (n=29; R700/R350=0.73±0.14) was significantly higher than the avidity for aabs detected by SPR only (n=59; R700/R350=0.32±0.13, p < 0.001). In order to study the potential biological relevance of anti-GP V, a phagocytosis assay using CD14+ positively-selected macrophages from spleen specimens from splenectomized ITP patients was performed. Anti-GPV aabs induced a modest amount of platelet uptake above the normal human serum-incubated control. No difference was observed between high avidity and low avidity anti-GP V. The effect of anti-GPV on platelet clearance was further studied in a NOD/SCID mouse model. Freshly isolated human platelets were injected into the lateral mouse tail vein; after 30 min, IgG fractions isolated from human sera containing anti-GPV antibodies or control sera from healthy donors were injected into the other lateral tail vein, and the survival of human platelets in the mouse circulation was analyzed by taking murine blood 60, 120, 300 min and 24h after baseline. High avidity and low avidity anti-GP V aabs (n=3 per group) eliminated human platelets with no detectable difference between the groups (mean platelet survival at t=300 min: 40% [range 27-55] versus 35% [range, 16-46]). A comparable, dose-dependent platelet clearance was also obtained with monoclonal antibody SW16 against GP V. In summary, we have demonstrated that anti-GP V autoantibodies are regularly detectable in ITP patients; and that they are able to induce phagocytosis and platelet clearance. Our findings have implications for both, further development of laboratory testing, and guidance for clinical decision making. First, comparison between MAIPA and SPR reveals that free aabs may be more frequent than reported, since aabs appear to escape detection by standard laboratory methods because of low avidity. Better test methods are required. Second, predicting disease severity and/or tailoring ITP therapy can possibly not be restricted to the postulated difference between anti-GP IIb/IIIa and anti-GP Ib/IX. Prospective studies are required to understand the impact of different GP-specific platelet aabs on the clinical course of ITP including, anti-GP V. Disclosures Rummel: Celgene: Honoraria; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas: Honoraria; Mundipharma: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Symbio: Honoraria; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Eisai: Honoraria. Bakchoul:Aspen Germany gGmbH, CLS Behring, Stago gGmbH: Honoraria; German Research Society (DFG): Research Funding; Robert Bosch gGmbH: Research Funding.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.005
GPT teacher head0.201
Teacher spread0.196 · 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 designObservational
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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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