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Record W2898437318 · doi:10.1093/ofid/ofy210.552

544. Pharmacokinetic Profile of Ibalizumab From a Phase 3 Trial

2018· article· en· W2898437318 on OpenAlexaff
Princy Kumar, Steven P. Weinheimer, Zvi R. Cohen, Christian Marsolais, Kuei‐Ling Kuo, Stanley T. Lewis

Bibliographic record

VenueOpen Forum Infectious Diseases · 2018
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsTheratechnologies (Canada)
Fundersnot available
KeywordsMedicinePharmacokineticsTolerabilityDosingRegimenViral loadFlow cytometryGastroenterologyPharmacologyInternal medicineAdverse effectHuman immunodeficiency virus (HIV)Immunology

Abstract

fetched live from OpenAlex

Ibalizumab (IBA) is a long-acting humanized monoclonal antibody that binds domain 2 of the CD4 receptor and blocks HIV-1 infection of host cells. TMB-301 was a 24-week, Phase 3 clinical trial conducted in 40 heavily treatment-experienced patients with multidrug-resistant (MDR) HIV-1 investigating the safety, efficacy and tolerability of IBA. Patients received a 2,000 mg IBA loading dose followed by 800 mg every 2 weeks by intravenous infusion plus an optimized background regimen. Viral load <50 and <200 HIV RNA copies/mL was achieved in 43% and 50% of patients, respectively, at Week 25. We determined the pharmacokinetic profile of IBA, i.e., serum concentrations, CD4 receptor occupancy (RO), and CD4 receptor density (RD), in these patients with MDR HIV-1. Pre- and post-dose blood samples collected at various time points during trial were used to determine IBA serum concentrations, CD4 RO and RD at trough. IBA serum concentrations were measured using a validated ELISA. IBA bound to CD4+ T cells (RO) and cell surface CD4 levels (RD) were measured simultaneously by flow cytometry using the Molecules of Equivalent Soluble Fluorescence approach. The maximum IBA serum concentrations were observed immediately after the end of the 2,000 mg infusion with mean (SD) of 567 (235) μg/mL. Steady state was reached at Week 4 after the loading dose. The mean IBA concentrations were >30 μg/mL throughout the dosing period. Both Cpeak and Ctrough (Day 7 and Week 25 IBA concentrations) were decreased with increased body weight. The median Ctrough in the high body weight group (≥85 kg) was 0.23 μg/mL. The mean RO was >85% throughout the dosing period. The 2,000 mg loading dose helped to reach >85% RO after the initial dose and maintain high levels of RO throughout the dosing period. Elevation in RO was generally associated with increased IBA serum concentrations; concentrations ≥0.13 μg/mL supported ≥85% CD4 RO. After IBA administration, down-modulation of surface CD4 receptors by up to 20% was observed. There was no apparent association between IBA serum concentration and RD probably due to high inter-individual variation. Dosing regimen of 2,000 mg loading dose followed by 800 mg every 2 weeks was sufficient to support high levels of RO and to maintain the drug concentration above the therapeutic level. P. N. Kumar, TheraTechnologies: Consultant and Investigator, Consulting fee and Research grant. ViiV: Consultant, Investigator and Shareholder, Research grant and Speaker honorarium. Merck: Investigator and Shareholder, Research grant. Gilead: Consultant, Investigator and Shareholder, Consulting fee and Research grant. S. Weinheimer, TaiMed Biologics: Employee, Salary. Z. Cohen, Theratechnologies Inc.: Employee, Salary. C. Marsolais, Theratechnologies Inc.: Employee, Salary. K. L. Kuo, TaiMed Biologics Taiwan: Employee, Salary. S. Lewis, TaiMed Biologics: Employee, Salary.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0130.000

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 head0.032
GPT teacher head0.400
Teacher spread0.367 · 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.

Study designRandomized trial
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

Citations2
Published2018
Admission routes1
Has abstractyes

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