Evidence map›Paper›PMID 37111743›Full record

ArticlePharmaceutics2023

Comparison of Compartmental and Non-Compartmental Analysis to Detect Biopharmaceutical Similarity of Intravenous Nanomaterial-Based Rifabutin Formulations.

Nadezhda Osipova, Andrey Budko, Olga Maksimenko, Elena Shipulo, Ludmila Vanchugova, Wenqian Chen, Svetlana Gelperina, Matthias G Wacker

Abstract read
In one paragraph

Article in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Materials today. Bio · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nadezhda OsipovaNanosystem Ltd., Kolomenskiy Proezd 13A, 115446 Moscow, Russia.
Andrey BudkoN.N. Blokhin Russian Cancer Research Center, Russian Academy of Medical Science, Kashirskoye Shosse 24, 115478 Moscow, Russia.
Olga MaksimenkoNanosystem Ltd., Kolomenskiy Proezd 13A, 115446 Moscow, Russia.
Elena ShipuloNanosystem Ltd., Kolomenskiy Proezd 13A, 115446 Moscow, Russia.
Ludmila VanchugovaNanosystem Ltd., Kolomenskiy Proezd 13A, 115446 Moscow, Russia.
Wenqian ChenDepartment of Pharmacy, Faculty of Science, 4 Science Drive 2, Singapore 117544, Singapore.ORCID 0000-0001-8867-3012
Svetlana GelperinaNanosystem Ltd., Kolomenskiy Proezd 13A, 115446 Moscow, Russia.ORCID 0000-0003-1113-6715
Matthias G WackerDepartment of Pharmacy, Faculty of Science, 4 Science Drive 2, Singapore 117544, Singapore.ORCID 0000-0002-2789-6463

Funding

Ministry of Education: MoE Tier1 A-0004337-00-00Ministry of Education: Startup A-0004627-00-00Russian State Programme Pharma-2020 13411.1008799.13.138
6 · The paper itself

Abstract

Pharmacometric analysis is often used to quantify the differences and similarities between formulation prototypes. In the regulatory framework, it plays a significant role in the evaluation of bioequivalence. While non-compartmental analysis provides an unbiased data evaluation, mechanistic compartmental models such as the physiologically-based nanocarrier biopharmaceutics model promise improved sensitivity and resolution for the underlying causes of inequivalence. In the present investigation, both techniques were applied to two nanomaterial-based formulations for intravenous injection, namely, albumin-stabilized rifabutin nanoparticles and rifabutin-loaded PLGA nanoparticles. The antibiotic rifabutin holds great potential for the treatment of severe and acute infections of patients co-infected with human immunodeficiency virus and tuberculosis. The formulations differ significantly in their formulation and material attributes, resulting in an altered biodistribution pattern as confirmed in a biodistribution study in rats. The albumin-stabilized delivery system further undergoes a dose-dependent change in particle size which leads to a small yet significant change in the in vivo performance. A second analysis was conducted comparing the dose fraction-scaled pharmacokinetic profiles of three dose levels of albumin-stabilized rifabutin nanoparticles. The dose strength affects both the nanomaterial-related absorption and biodistribution of the carrier as well as the drug-related distribution and elimination parameters, increasing the background noise and difficulty of detecting inequivalence. Depending on the pharmacokinetic parameter (e.g., AUC, C

Indexed as

biodistributionbioequivalenceinjectablesmodelingnanoparticlespopulation modelingrifabutinsafety

Identifiers

PMID37111743
PMCPMC10145013

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.