Evidence map›Paper›PMID 22419876›Full record

ArticleInternational journal of nanomedicine2012

Physiologically based pharmacokinetic modeling of PLGA nanoparticles with varied mPEG content.

Mingguang Li, Zoi Panagi, Konstantinos Avgoustakis, Joshua Reineke

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 6% of its field
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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 112 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
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    Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Lifetime Accumulation of Microplastic in Children and Adults.Environmental science & technology · 2021
    Article
  17. Article
  18. Article
  19. Imaging-based characterization of convective tissue properties.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2020
    Article
  20. 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 at 2 institutions in 2 countries.

Mingguang LiDepartment of Pharmaceutical Sciences, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI 48202, USA.
Zoi Panagi
Konstantinos Avgoustakis
Joshua Reineke
Wayne State University · USUniversity of Patras · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodistribution of nanoparticles is dependent on their physicochemical properties (such as size, surface charge, and surface hydrophilicity). Clear and systematic understanding of nanoparticle properties' effects on their in vivo performance is of fundamental significance in nanoparticle design, development and optimization for medical applications, and toxicity evaluation. In the present study, a physiologically based pharmacokinetic model was utilized to interpret the effects of nanoparticle properties on previously published biodistribution data. Biodistribution data for five poly(lactic-co-glycolic) acid (PLGA) nanoparticle formulations prepared with varied content of monomethoxypoly (ethyleneglycol) (mPEG) (PLGA, PLGA-mPEG256, PLGA-mPEG153, PLGA-mPEG51, PLGA-mPEG34) were collected in mice after intravenous injection. A physiologically based pharmacokinetic model was developed and evaluated to simulate the mass-time profiles of nanoparticle distribution in tissues. In anticipation that the biodistribution of new nanoparticle formulations could be predicted from the physiologically based pharmacokinetic model, multivariate regression analysis was performed to build the relationship between nanoparticle properties (size, zeta potential, and number of PEG molecules per unit surface area) and biodistribution parameters. Based on these relationships, characterized physicochemical properties of PLGA-mPEG495 nanoparticles (a sixth formulation) were used to calculate (predict) biodistribution profiles. For all five initial formulations, the developed model adequately simulates the experimental data indicating that the model is suitable for description of PLGA-mPEG nanoparticle biodistribution. Further, the predicted biodistribution profiles of PLGA-mPEG495 were close to experimental data, reflecting properly developed property-biodistribution relationships.

Indexed as

Models, BiologicalAnimalsArea Under CurveChemistry, PharmaceuticalComputer SimulationFemaleLactic AcidMiceMolecular WeightNanoparticlesParticle SizePolyethylene GlycolsPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerResearch DesignTissue DistributionLactic Acidmonomethoxypolyethylene glycolPolyethylene GlycolsPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerbiodistributionnanoparticlesPBPK modelPEGPLGArelationship

Identifiers

PMID22419876
PMCPMC3299578
OpenAlexW2036367387

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.