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Record W1860047189 · doi:10.1038/npre.2010.4635.1

The Inhibitory Fc[gamma] Receptor is Unnecessary for IVIG Efficacy

2010· preprint· en· W1860047189 on OpenAlexaff
Danila Leontyev, Yulia Katsman, Xue‐Zhong Ma, Donald R. Branch

Bibliographic record

VenueNature Precedings · 2010
Typepreprint
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsCanadian Blood Services
Fundersnot available
KeywordsContext (archaeology)ImmunologyGamma globulinMedicineReceptorImmune systemAntibodySpleenDownregulation and upregulationInhibitory postsynaptic potentialBiologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Intravenous gamma globulin (IVIG) is used as an effective therapy for many different autoimmune and inflammatory diseases. The current paradigm for the mechanism underpinning anti-inflammatory effects links IVIG administration to increased expression and activity of the inhibitory Fc[gamma] receptor (Fc[gamma]RIIB) on splenic macrophages. This hypothesis has been disputed in the literature. Here we show that IVIG administered in the context of passive antibody-mediated thrombocytopenia to be therapeutically efficacious in both splenectomized and unmanipulated Balb/c mice despite no upregulation of Fc[gamma]RIIB mRNA in the spleen. Moreover, IVIG effectively ameliorated immune thrombocytopenia (ITP) in Fc[gamma]RIIB-deficient Balb/c mice, but not in Fc[gamma]RIIB-/- or Fc[gamma]RIIB+/+ control mice with a C57BL6/129S background. Our results demonstrate that Fc[gamma]RIIB is not relevant to the beneficial effects of IVIG. We anticipate that investigators will now shift their research focus away from Fc[gamma]RIIB and seek out other possible mechanism(s) to explain the plethora of diseases and conditions treatable with IVIG.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.303
Teacher spread0.291 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2010
Admission routes1
Has abstractyes

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