Evidence map›Paper›PMID 33095997›Full record

ReviewAmerican journal of respiratory cell and molecular biology2021

Nanoparticle Delivery Systems with Cell-Specific Targeting for Pulmonary Diseases.

Zicheng Deng, Gregory T Kalin, Donglu Shi, Vladimir V Kalinichenko

Open access · greenAbstract readReview
In one paragraph

Review in American journal of respiratory cell and molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

60 citing papers in PubMed, 108 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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  6. Article
  7. Review
  8. Article
  9. Review
  10. mBiomolecules · 2026
    Review
  11. Review
  12. Review
  13. Article
  14. Endothelial Heterogeneity in Pulmonary Hypertension.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  15. Inhalable nanoparticle-based drug delivery system for non-small cell lung cancer therapy: promises and challenges.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025
    Review
  16. Review
  17. Review
  18. Review
  19. Review
  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 at 4 institutions in 1 country.

Zicheng DengThe Materials Science and Engineering Program, College of Engineering and Applied Science, University of Cincinnati, Cincinnati, Ohio; and.
Gregory T KalinCenter for Lung Regenerative Medicine.
Donglu ShiThe Materials Science and Engineering Program, College of Engineering and Applied Science, University of Cincinnati, Cincinnati, Ohio; and.
Vladimir V KalinichenkoCenter for Lung Regenerative Medicine.
Center for Neuroscience and Regenerative Medicine · USCincinnati Children's Hospital Medical Center · USPulmonary Associates · USUniversity of Cincinnati · US

Funding

Fox Transcription Factors in Development of Pulmonary CapillariesR01HL084151 · NHLBI · UNIVERSITY OF CHICAGO · PI KALINICHENKO, VLADIMIR · 2006 to 2018
$4.9M
Transcriptional Regulation of Endothelial Cells after Neonatal Lung InjuryR01HL141174 · NHLBI · UNIVERSITY OF ARIZONA · PI Vladimir Kalinichenko · 2018 to 2026
$4.7M
Development of novel therapeutic approaches for treatment of Alveolar Capillary DysplasiaR01HL152973 · NHLBI · UNIVERSITY OF ARIZONA · PI Vladimir Kalinichenko · 2021 to 2026
$3.6M
Molecular Mechanisms Regulated by FOXM1 in Chronic Lung RemodelingR01HL149631 · NHLBI · UNIVERSITY OF ARIZONA · PI KALINICHENKO, VLADIMIR · 2020 to 2022
$2.2M
Role of lung endothelial cells during fibrotic lung remodeling.R01HL158659 · NHLBI · UNIVERSITY OF ARIZONA · PI KALIN, TANYA · 2021 to 2024
$2.2M
Targeting Foxm1 in pulmonary fibrosisR01HL132849 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI KALIN, TANYA · 2016 to 2019
$1.5M
NHLBI NIH HHS R01 HL084151NHLBI NIH HHS R01 HL132849NHLBI NIH HHS R01 HL141174NHLBI NIH HHS R01 HL149631NHLBI NIH HHS R01 HL152973NHLBI NIH HHS R01 HL158659
6 · The paper itself

Abstract

Respiratory disorders are among the most important medical problems threatening human life. The conventional therapeutics for respiratory disorders are hindered by insufficient drug concentrations at pathological lesions, lack of cell-specific targeting, and various biobarriers in the conducting airways and alveoli. To address these critical issues, various nanoparticle delivery systems have been developed to serve as carriers of specific drugs, DNA expression vectors, and RNAs. The unique properties of nanoparticles, including controlled size and distribution, surface functional groups, high payload capacity, and drug release triggering capabilities, are tailored to specific requirements in drug/gene delivery to overcome major delivery barriers in pulmonary diseases. To avoid off-target effects and improve therapeutic efficacy, nanoparticles with high cell-targeting specificity are essential for successful nanoparticle therapies. Furthermore, low toxicity and high degradability of the nanoparticles are among the most important requirements in the nanoparticle designs. In this review, we provide the most up-to-date research and clinical outcomes in nanoparticle therapies for pulmonary diseases. We also address the current critical issues in key areas of pulmonary cell targeting, biosafety and compatibility, and molecular mechanisms for selective cellular uptake.

Indexed as

AnimalsBiomedical TechnologyClinical Trials as TopicDrug Delivery SystemsGenetic TherapyHumansLung DiseasesNanoparticlesendotheliumepitheliumnanomedicinenanoparticle delivery systemsrespiratory disorders

Identifiers

PMID33095997
PMCPMC7909340
OpenAlexW3094039250

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.