Evidence map›Paper›PMID 39065593›Full record

ArticlePharmaceutics2024

Physiologically-Based Pharmacokinetic Modeling and In Vitro-In Vivo Correlation of TV-46000 (Risperidone LAI): Prediction from Dog to Human.

David Bibi, Raphael Bilgraer, Lilach Steiner, Hussein Hallak

Abstract read
In one paragraph

Article in Pharmaceutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

4 authors.

David BibiNon-Clinical Development, Teva Pharmaceutical Industries Ltd., Netanya 4250400, Israel.ORCID 0009-0006-9174-5690
Raphael BilgraerNon-Clinical Development, Teva Pharmaceutical Industries Ltd., Netanya 4250400, Israel.
Lilach SteinerNon-Clinical Development, Teva Pharmaceutical Industries Ltd., Netanya 4250400, Israel.
Hussein HallakNon-Clinical Development, Teva Pharmaceutical Industries Ltd., Netanya 4250400, Israel.ORCID 0000-0002-1685-1374

Funding

Teva Pharmaceutical Industries Ltd no grant numbers
6 · The paper itself

Abstract

The interest in the development and therapeutic application of long-acting injectable products for chronic or long-term treatments has experienced exponential growth in recent decades. TV-46000 (Uzedy, Teva) is a long-acting subcutaneous (sc) injectable formulation of risperidone, approved for the treatment of schizophrenia in adults. Following sc injection, the copolymers together with risperidone precipitate to form a sc depot under the skin to deliver therapeutic levels of risperidone over a prolonged period of either 1 month or 2 months, depending upon the dose. This work presents the strategy and the results of the physiologically-based pharmacokinetic (PBPK) modeling and establishing of in vitro-in vivo correlation (IVIVC) for the prediction of TV-46000 pharmacokinetic profile in humans, using in vitro release, intravenous (iv), and sc single-dose pharmacokinetic data in beagle dogs. The resulting simulated TV-46000 PK profile in humans showed that the shape of the predicted risperidone and its active metabolite 9-OH-risperidone PK profiles was different from the observed one, thus suggesting that the TV-46000 release profile was species-dependent and cannot be directly extrapolated from dog to human. In conclusion, while level A IVIVC cannot be claimed, this work combining PBPK and IVIVC modeling represents an interesting alternative approach for complex injectable formulations where classical methods are not applicable.

Indexed as

in vitro–in vivo correlation (IVIVC)long-acting injectable (LAI)physiologically-based pharmacokinetic modeling (PBPK)risperidoneschizophreniaTV-46000

Identifiers

PMID39065593
PMCPMC11279950

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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.