Evidence map›Paper›PMID 32738657›Full record

ArticleBiomaterials2020

Enzymatic protection and biocompatibility screening of enzyme-loaded polymeric nanoparticles for neurotherapeutic applications.

Rick Liao, Jessica Pon, Michael Chungyoun, Elizabeth Nance

Open access · greenAbstract read
In one paragraph

Article in Biomaterials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Alzheimer's and Parkinson's disease therapies in the clinic.Bioengineering & translational medicine · 2023
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Data Management Schema Design for Effective Nanoparticle Formulation for Neurotherapeutics.AIChE journal. American Institute of Chemical Engineers · 2021
    Article
  15. Review
  16. Article
  17. Article
  18. 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 1 institution in 1 country.

Rick LiaoDepartment of Chemical Engineering, University of Washington, Seattle, WA, USA.
Jessica PonDepartment of Chemical Engineering, University of Washington, Seattle, WA, USA.
Michael ChungyounDepartment of Chemical Engineering, University of Washington, Seattle, WA, USA.
Elizabeth NanceDepartment of Chemical Engineering, University of Washington, Seattle, WA, USA; Department of Radiology, University of Washington, Seattle, WA, USA; Center on Human Development and Disability, University of Washington, Seattle, WA, USA. Electronic address: eanance@uw.edu.
University of Washington · US

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Nicole Ann Errett · 1995 to 2026
$42.5M
Quantitative 3D imaging of in situ nanoparticle movement and cellular behavior during neuroinflammationR35GM124677 · NIGMS · UNIVERSITY OF WASHINGTON · PI NANCE, ELIZABETH A · 2017 to 2022
$2.5M
NIEHS NIH HHS P30 ES007033NIGMS NIH HHS R35 GM124677
6 · The paper itself

Abstract

Polymeric nanoparticles provide a non-invasive strategy for enhancing the delivery of labile hydrophilic enzymatic cargo for neurological disease applications. One of the most common polymeric materials, poly(lactic-co-glycolic acid) (PLGA) copolymerized with poly(ethylene glycol) (PEG) is widely studied due to its biocompatible and biodegradable nature. Although PLGA-PEG nanoparticles are generally known to be non-toxic and protect enzymatic cargo from degradative proteases, different formulation parameters including surfactant, organic solvent, sonication times, and formulation method can all impact the final nanoparticle characteristics. We show that 30s sonication double emulsion (DE)-formulated nanoparticles achieved the highest enzymatic activity and provided the greatest enzymatic activity protection in degradative conditions, while nanoprecipitation (NPPT)-formulated nanoparticles exhibited no protection compared to free catalase. However, the same DE nanoparticles also caused significant toxicity on excitotoxicity-induced brain tissue slices, but not on healthy or neuroinflammation-induced tissue. We narrowed the culprit of toxicity to specifically sonication of PLGA-PEG polymer with dichloromethane (DCM) as the organic solvent, independent of surfactant type. We also discovered that toxicity was oxidative stress-dependent, but that increased toxicity was not enacted through increasing oxidative stress. Furthermore, no PEG degradation or aldehyde, alcohol, or carboxylic acid functional groups were detected after sonication. We identified that inclusion of free PEG along with PLGA-PEG polymer during the emulsification phases or replacing DCM with trichloromethane (chloroform) produced biocompatible polymeric nanoparticle formulations that still provided enzymatic protection. This work encourages thorough screening of nanoparticle toxicity and cargo-protective capabilities for the development of enzyme-loaded polymeric nanoparticles for the treatment of disease.

Indexed as

NanoparticlesPolyglycolic AcidDrug CarriersLactic AcidParticle SizePolyethylene GlycolsPolylactic Acid-Polyglycolic Acid CopolymerDrug CarriersLactic AcidPolyethylene GlycolsPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerDichloromethaneDouble emulsionNanoprecipitationPEGPLGASonication

Identifiers

PMID32738657
PMCPMC7442737
OpenAlexW3043277757

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.