Evidence map›Paper›PMID 30866479›Full record

ReviewPharmaceutics2019

Pharmacokinetics and Pharmacodynamics Modeling and Simulation Systems to Support the Development and Regulation of Liposomal Drugs.

Hua He, Dongfen Yuan, Yun Wu, Yanguang Cao

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Virosomes: Beyond Vaccines.Life (Basel, Switzerland) · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Current Update on Nanotechnology-Based Approaches in Ovarian Cancer Therapy.Reproductive sciences (Thousand Oaks, Calif.) · 2023
    Review
  13. Review
  14. A PBPK model recapitulates early kinetics of anti-PEG antibody-mediated clearance of PEG-liposomes.Journal of controlled release : official journal of the Controlled Release Society · 2022
    Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article
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.

Hua HeCenter of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing 210009, China. huahe827@163.com.
Dongfen YuanDivision of Pharmacotherapy and Experimental Therapeutics, School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. dyuan@email.unc.edu.ORCID 0000-0002-5085-0682
Yun WuDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, 332 Bonner Hall, Buffalo, NY 14260, USA. ywu32@buffalo.edu.
Yanguang CaoDivision of Pharmacotherapy and Experimental Therapeutics, School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. yanguang@unc.edu.ORCID 0000-0002-3974-9073

Funding

Optimizing antibody-based therapy through a system platform of pharmacokinetics-pharmacodynamics-immunodynamicsR35GM119661 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CAO, YANGUANG · 2016 to 2020
$2.1M
National Institutes of Health GM119661NIGMS NIH HHS R35 GM119661
6 · The paper itself

Abstract

Liposomal formulations have been developed to improve the therapeutic index of encapsulated drugs by altering the balance of on- and off-targeted distribution. The improved therapeutic efficacy of liposomal drugs is primarily attributed to enhanced distribution at the sites of action. The targeted distribution of liposomal drugs depends not only on the physicochemical properties of the liposomes, but also on multiple components of the biological system. Pharmacokinetic⁻pharmacodynamic (PK⁻PD) modeling has recently emerged as a useful tool with which to assess the impact of formulation- and system-specific factors on the targeted disposition and therapeutic efficacy of liposomal drugs. The use of PK⁻PD modeling to facilitate the development and regulatory reviews of generic versions of liposomal drugs recently drew the attention of the U.S. Food and Drug Administration. The present review summarizes the physiological factors that affect the targeted delivery of liposomal drugs, challenges that influence the development and regulation of liposomal drugs, and the application of PK⁻PD modeling and simulation systems to address these challenges.

Indexed as

EPR effectliposomal drugsmodeling and simulationPBPK modelpharmacokinetic–pharmacodynamicsregulatory review

Identifiers

PMID30866479
PMCPMC6471205

What OpenQuestion holds

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Registered trials

None linked

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.