Evidence map›Paper›PMID 34715546›Full record

ReviewCurrent opinion in biotechnology2022

Principles for designing an optimal mRNA lipid nanoparticle vaccine.

Edo Kon, Uri Elia, Dan Peer

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers.

0numbers the graph read from it
0cells of the map it votes in
150citing 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

150 citing papers in PubMed.

  1. Review
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  11. Localized NF-κB Inhibition Reduces Lipid Nanoparticle-Associated Inflammation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  12. The RNA delivery dilemma-lipid versus polymer nanoparticle platforms.Drug delivery and translational research · 2026
    Article
  13. Article
  14. Article
  15. Optimizing C14120-based LNPs forMolecular therapy. Nucleic acids · 2026
    Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review

90 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

3 authors.

Edo KonLaboratory of Precision NanoMedicine, Tel Aviv University, Tel Aviv 69978, Israel; The Shmunis School of Biomedicine and Cancer Research, George S Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel; Department of Materials Sciences and Engineering, Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel; Center for Nanoscience and Nanotechnology, Tel Aviv University, Tel Aviv 69978, Israel; Cancer Biology Research Center, Tel Aviv University, Tel Aviv 69978, Israel.
Uri EliaLaboratory of Precision NanoMedicine, Tel Aviv University, Tel Aviv 69978, Israel; The Shmunis School of Biomedicine and Cancer Research, George S Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel; Department of Materials Sciences and Engineering, Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel; Center for Nanoscience and Nanotechnology, Tel Aviv University, Tel Aviv 69978, Israel; Cancer Biology Research Center, Tel Aviv University, Tel Aviv 69978, Israel; Department of Biochemistry and Molecular Genetics, Israel Institute for Biological Research, Ness-Ziona 76100, Israel.
Dan PeerLaboratory of Precision NanoMedicine, Tel Aviv University, Tel Aviv 69978, Israel; The Shmunis School of Biomedicine and Cancer Research, George S Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel; Department of Materials Sciences and Engineering, Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel; Center for Nanoscience and Nanotechnology, Tel Aviv University, Tel Aviv 69978, Israel; Cancer Biology Research Center, Tel Aviv University, Tel Aviv 69978, Israel. Electronic address: peer@tauex.tau.ac.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

mRNA Lipid nanoparticles (LNPs) have recently been propelled onto the center stage of therapeutic platforms due to the success of the SARS-CoV-2 mRNA LNP vaccines (mRNA-1273 and BNT162b2), with billions of mRNA vaccine doses already shipped worldwide. While mRNA vaccines seem like an overnight success to some, they are in fact a result of decades of scientific research. The advantage of mRNA-LNP vaccines lies in the modularity of the platform and the rapid manufacturing capabilities. However, there is a multitude of choices to be made when designing an optimal mRNA-LNP vaccine regarding efficacy, stability and toxicity. Herein, we provide a brief on what we consider to be the most important aspects to cover when designing mRNA-LNPs from what is currently known and how to optimize them. Lastly, we give our perspective on which of these aspects is most crucial and what we believe are the next steps required to advance the field.

Indexed as

LiposomesmRNA VaccinesNanoparticlesVaccine DevelopmentBNT162 VaccineCOVID-19HumansVaccines, SyntheticBNT162 VaccineLipid NanoparticlesLiposomesmRNA VaccinesVaccines, Synthetic

Identifiers

PMID34715546
PMCPMC8547895

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.