Evidence map›Paper›PMID 36596392›Full record

ArticleJournal of pharmaceutical sciences2023

Effect of Cholesterol Content of Lipid Composition in mRNA-LNPs on the Protein Expression in the Injected Site and Liver After Local Administration in Mice.

Maho Kawaguchi, Marin Noda, Akari Ono, Mariko Kamiya, Makoto Matsumoto, Masako Tsurumaru, Shusaku Mizukami, Hidefumi Mukai, Shigeru Kawakami

Open access · hybridAbstract read
In one paragraph

Article in Journal of pharmaceutical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
4.5field-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

38 citing papers in PubMed, 60 citations in OpenAlex.

  1. Development of mRNA vaccines against herpes zoster.Human vaccines & immunotherapeutics · 2026
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  7. Tissue-specific gene delivery approaches.Bioengineering & translational medicine · 2026
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  15. Prime editing in mammals: From promise to practicalities.Molecular therapy. Nucleic acids · 2025
    Review
  16. Article
  17. Review
  18. Review
  19. Lipid nanoparticles: Composition, formulation, and application.Molecular therapy. Methods & clinical development · 2025
    Review
  20. [Research progress on lipid nanoparticle messenger RNA delivery system].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2025
    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

9 authors at 2 institutions in 1 country.

Maho KawaguchiGraduate School of Biomedical Sciences, Nagasaki University, 1-7-1 Sakamoto, Nagasaki-shi, Nagasaki 852-8588, Japan.
Marin NodaGraduate School of Biomedical Sciences, Nagasaki University, 1-7-1 Sakamoto, Nagasaki-shi, Nagasaki 852-8588, Japan.
Akari OnoUnder Graduate School of Pharmaceutical Sciences, Nagasaki University, 1-14 Bunkyo, Nagasaki-shi, Nagasaki 852-8521, Japan.
Mariko KamiyaGraduate School of Biomedical Sciences, Nagasaki University, 1-7-1 Sakamoto, Nagasaki-shi, Nagasaki 852-8588, Japan.
Makoto MatsumotoUnder Graduate School of Pharmaceutical Sciences, Nagasaki University, 1-14 Bunkyo, Nagasaki-shi, Nagasaki 852-8521, Japan.
Masako TsurumaruDepartment of Hospital Pharmacy, Nagasaki University Hospital, 1-7-1 Sakamoto, Nagasaki-shi, Nagasaki 852-8501, Japan.
Shusaku MizukamiDepartment of Immune Regulation, Shionogi Global Infectious Diseases Division, Institute of Tropical Medicine, Nagasaki University, 1-12-4 Sakamoto, Nagasaki-shi, Nagasaki 852-8523, Japan.
Hidefumi MukaiGraduate School of Biomedical Sciences, Nagasaki University, 1-7-1 Sakamoto, Nagasaki-shi, Nagasaki 852-8588, Japan.
Shigeru KawakamiGraduate School of Biomedical Sciences, Nagasaki University, 1-7-1 Sakamoto, Nagasaki-shi, Nagasaki 852-8588, Japan. Electronic address: skawakam@nagasaki-u.ac.jp.
Nagasaki University · JPNagasaki University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delivery of messenger RNA (mRNA) using lipid nanoparticles (LNPs) is expected to be applied to various diseases following the successful clinical use of the mRNA COVID-19 vaccines. This study aimed to evaluate the effect of the cholesterol molar percentage of mRNA-LNPs on protein expression in hepatocellular carcinoma-derived cells and in the liver after intramuscular or subcutaneous administration of mRNA-LNPs in mice. For mRNA-LNPs with cholesterol molar percentages reduced to 10 mol% and 20 mol%, we formulated neutral charge particles with a diameter of approximately 100 nm and polydispersity index (PDI) <0.25. After the intramuscular or subcutaneous administration of mRNA-LNPs with different cholesterol molar percentages in mice, protein expression in the liver decreased as the cholesterol molar percentage in mRNA-LNPs decreased from 40 mol% to 20 mol% and 10 mol%, suggesting that reducing the cholesterol molar percentage in mRNA-LNPs decreases protein expression in the liver. Furthermore, in HepG2 cells, protein expression decreased as cholesterol in mRNA-LNPs was reduced by 40 mol%, 20 mol%, and 10 mol%. These results suggest that the downregulated expression of mRNA-LNPs with low cholesterol content in the liver involves degradation in systemic circulating blood and decreased protein expression after hepatocyte distribution.

Indexed as

CholesterolLiverRNA, MessengerAnimalsCarcinoma, HepatocellularCell Line, TumorHumansLiposomesLiver Neoplasms, ExperimentalLuciferasesMaleMiceNanoparticlesCholesterolLipid NanoparticlesLiposomesLuciferasesRNA, MessengerDrug delivery systemsLipid nanoparticles (LNPs)Messenger ribonucleic acid (mRNA), Intramuscular administration

Identifiers

PMID36596392
PMCPMC9805379
OpenAlexW4313397194

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.