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Record W2111152776 · doi:10.1097/cji.0b013e3181b290f1

Therapeutic (High) Doses of Rituximab Activate Calcium Mobilization and Inhibit B-cell Growth via an Unusual Mechanism Triggered Independently of Both CD20 and Fcγ Receptors

2009· article· en· W2111152776 on OpenAlexafffund
Tammy L. Unruh, Jonathan Zuccolo, Stephen A. Beers, Uliana Kanevets, Yan Shi, Julie P. Deans

Bibliographic record

VenueJournal of Immunotherapy · 2009
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsMonoclonal antibodyCD20ChemistryCalcium in biologyRituximabIntracellularCytotoxic T cellCell biologyReceptorMonoclonalAntibodyCancer researchPharmacologyImmunologyBiologyBiochemistryIn vitro

Abstract

fetched live from OpenAlex

Rituximab is a CD20-specific monoclonal antibody that effectively targets and depletes B lymphocytes in vivo, primarily via indirect cytotoxic mechanisms. Direct effects on B cells may also contribute to B-cell depletion but are less clearly defined. In this report, we demonstrate that monomeric rituximab, at the high concentrations found in plasma following infusion of therapeutic doses, induces prolonged low-amplitude release of calcium from thapsigargin-sensitive intracellular stores and reduces the growth of Ramos B cells in culture. Intracellular calcium release was triggered via a signaling pathway distinct from the lipid raft-dependent and src family kinase-dependent pathway that is activated by CD20 hypercrosslinking or B-cell receptor association. The response was independent of both CD20 and Fc receptor binding, and was also triggered by some, but not all, irrelevant monoclonal IgG1 antibodies. The data indicate that unique regions within IgG may contribute to direct effects of therapeutic monoclonal antibodies delivered at suprasaturating concentrations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.054
Threshold uncertainty score0.573

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.298
Teacher spread0.280 · 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 teacher head, 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

Citations7
Published2009
Admission routes2
Has abstractyes

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