Evidence map›Paper›PMID 33277608›Full record

ReviewNature reviews. Drug discovery2021

Engineering precision nanoparticles for drug delivery.

Michael J Mitchell, Margaret M Billingsley, Rebecca M Haley, Marissa E Wechsler, Nicholas A Peppas, Robert Langer

Abstract readReview
In one paragraph

Review in Nature reviews. Drug discovery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3,121 papers.

0numbers the graph read from it
0cells of the map it votes in
3,121citing 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

3,121 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

3,061 more citing papers are in PubMed but not listed here.

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

6 authors.

Michael J MitchellDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA. mjmitch@seas.upenn.edu.ORCID http://orcid.org/0000-0002-3628-2244
Margaret M BillingsleyDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
Rebecca M HaleyDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-7322-7829
Marissa E WechslerDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Nicholas A PeppasDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA. peppas@che.utexas.edu.
Robert LangerDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. rlanger@mit.edu.ORCID http://orcid.org/0000-0003-4255-0492

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
TRAINING IN HIV PATHOGENESIST32AI007632 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Frederic D Bushman, James L. Riley · 2000 to 2026
$10.6M
pH Sensitive Complex Hydrogels for Protein Drug ReleaseR01EB000246 · NIBIB · UNIVERSITY OF TEXAS AUSTIN · PI LOWMAN, ANTHONY M, PEPPAS, NICHOLAS A · 2002 to 2014
$3.8M
In utero gene editing to cure a metabolic liver diseaseR01DK123049 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI PERANTEAU, WILLIAM H. · 2020 to 2024
$3.7M
Targeting stem-like cells and their niche in pancreatic cancerR37CA244911 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Tuomas Tammela · 2020 to 2026
$3.4M
A data-driven drug delivery (4D) platform for probing and treating the chemoresistant bone marrow microenvironmentDP2TR002776 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI MITCHELL, MICHAEL J · 2018 to 2018
$2.4M
Modular approach for the delivery of antibodies into the cytoplasm of cellsR01CA241661 · NCI · UNIVERSITY OF PENNSYLVANIA · PI TSOURKAS, ANDREW · 2019 to 2023
$1.8M
Sensor arrays based on molecularly imprinted polymers for diagnosis of Sjogren's syndromeR01EB022025 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI ANSLYN, ERIC V., PEPPAS, NICHOLAS A · 2016 to 2019
$1.5M
NCATS NIH HHS DP2 TR002776NCI NIH HHS P30 CA016520NCI NIH HHS R01 CA241661NCI NIH HHS R37 CA244911NIAID NIH HHS T32 AI007632NIBIB NIH HHS R01 EB000246NIBIB NIH HHS R01 EB022025NIDDK NIH HHS R01 DK123049
6 · The paper itself

Abstract

In recent years, the development of nanoparticles has expanded into a broad range of clinical applications. Nanoparticles have been developed to overcome the limitations of free therapeutics and navigate biological barriers - systemic, microenvironmental and cellular - that are heterogeneous across patient populations and diseases. Overcoming this patient heterogeneity has also been accomplished through precision therapeutics, in which personalized interventions have enhanced therapeutic efficacy. However, nanoparticle development continues to focus on optimizing delivery platforms with a one-size-fits-all solution. As lipid-based, polymeric and inorganic nanoparticles are engineered in increasingly specified ways, they can begin to be optimized for drug delivery in a more personalized manner, entering the era of precision medicine. In this Review, we discuss advanced nanoparticle designs utilized in both non-personalized and precision applications that could be applied to improve precision therapies. We focus on advances in nanoparticle design that overcome heterogeneous barriers to delivery, arguing that intelligent nanoparticle design can improve efficacy in general delivery applications while enabling tailored designs for precision applications, thereby ultimately improving patient outcome overall.

Indexed as

Biomedical EngineeringDrug Delivery SystemsHumansNanoparticlesPharmaceutical PreparationsPrecision MedicinePharmaceutical Preparations

Identifiers

PMID33277608
PMCPMC7717100

What Socratic 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 Socratic graph.