Evidence map›Paper›PMID 35942271›Full record

ArticleAdvanced functional materials2022

Lipid-Polymer Hybrid "Particle-in-Particle" Nanostructure Gene Delivery Platform Explored for Lyophilizable DNA and mRNA COVID-19 Vaccines.

Zhongyu Li, Xue-Qing Zhang, William Ho, Xin Bai, Dabbu Kumar Jaijyan, Fengqiao Li, Ranjeet Kumar, Afsal Kolloli, Selvakumar Subbian, Hua Zhu and 1 more

Open access · greenAbstract read
In one paragraph

Article in Advanced functional materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.2field-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

28 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
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  10. Recent Advances in mRNA Delivery Systems for Cancer Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  11. Article
  12. Review
  13. Review
  14. Polymeric nanocarriers for therapeutic gene delivery.Asian journal of pharmaceutical sciences · 2025
    Review
  15. Review
  16. Article
  17. Article
  18. Mapping Biomaterial Complexity by Machine Learning.Tissue engineering. Part A · 2024
    Review
  19. 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

11 authors at 3 institutions in 2 countries.

Zhongyu LiDepartment of Chemical and Materials Engineering New Jersey Institute of Technology Newark NJ 07102 USA.ORCID https://orcid.org/0000-0002-9566-5771
Xue-Qing ZhangEngineering Research Center of Cell & Therapeutic Antibody Ministry of Education School of Pharmacy Shanghai Jiao Tong University Shanghai 200240 P. R. China.
William HoDepartment of Chemical and Materials Engineering New Jersey Institute of Technology Newark NJ 07102 USA.
Xin BaiEngineering Research Center of Cell & Therapeutic Antibody Ministry of Education School of Pharmacy Shanghai Jiao Tong University Shanghai 200240 P. R. China.
Dabbu Kumar JaijyanDepartment of Microbiology Biochemistry and Molecular Genetics Rutgers-New Jersey Medical School Newark NJ 07103 USA.
Fengqiao LiDepartment of Chemical and Materials Engineering New Jersey Institute of Technology Newark NJ 07102 USA.
Ranjeet KumarPublic Health Research Institute (PHRI) Rutgers-New Jersey Medical School Newark NJ 07103 USA.
Afsal KolloliPublic Health Research Institute (PHRI) Rutgers-New Jersey Medical School Newark NJ 07103 USA.
Selvakumar SubbianPublic Health Research Institute (PHRI) Rutgers-New Jersey Medical School Newark NJ 07103 USA.
Hua ZhuDepartment of Microbiology Biochemistry and Molecular Genetics Rutgers-New Jersey Medical School Newark NJ 07103 USA.
Xiaoyang XuDepartment of Chemical and Materials Engineering New Jersey Institute of Technology Newark NJ 07102 USA.ORCID https://orcid.org/0000-0002-1634-3329
Rutgers, The State University of New Jersey · USNew Jersey Institute of Technology · USShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 has led to a worldwide pandemic, catastrophically impacting public health and the global economy. Herein, a new class of lipid-modified polymer poly (β-amino esters) (L-PBAEs) is developed via enzyme-catalyzed esterification and further formulation of the L-PBAEs with poly(d,l-lactide-coglycolide)-

Indexed as

COVID‐19 vaccinesgene deliverymRNA therapeuticsnanoparticles

Identifiers

PMID35942271
PMCPMC9349454
OpenAlexW4286698489

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.