Evidence map›Paper›PMID 36570700›Full record

ArticleNano today2023

A highly efficient needle-free-injection delivery system for mRNA-LNP vaccination against SARS-CoV-2.

Shanhong Mao, Shiyou Li, Yuxin Zhang, Luoxin Long, Junfeng Peng, Yuanyan Cao, Jessica Z Mao, Xin Qi, Qi Xin, Guoliang San and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Nano today, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.6field-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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  7. Construction of a localized immune nicheActa pharmaceutica Sinica. B · 2026
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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

21 authors at 4 institutions in 2 countries.

Shanhong MaoSchool of Biomedical Engineering, Capital Medical University, Beijing 100069, China.
Shiyou LiTricision Biotherapeutic Inc, Beijing 100176, Zhuhai 519040, China.
Yuxin ZhangBeijing QS Medical Technology Co.,Ltd., Beijing 100176, China.
Luoxin LongSchool of Biomedical Engineering, Capital Medical University, Beijing 100069, China.
Junfeng PengTricision Biotherapeutic Inc, Beijing 100176, Zhuhai 519040, China.
Yuanyan CaoSchool of Biomedical Engineering, Capital Medical University, Beijing 100069, China.
Jessica Z MaoSchool of Veterinary Medicine & Biomedical Sciences, Texas A&M, College Station, TX 77843, USA.
Xin QiBeijing QS Medical Technology Co.,Ltd., Beijing 100176, China.
Qi XinTricision Biotherapeutic Inc, Beijing 100176, Zhuhai 519040, China.
Guoliang SanBeijing QS Medical Technology Co.,Ltd., Beijing 100176, China.
Jing DingBeijing QS Medical Technology Co.,Ltd., Beijing 100176, China.
Jun JiangTricision Biotherapeutic Inc, Beijing 100176, Zhuhai 519040, China.
Xuejiao BaiTricision Biotherapeutic Inc, Beijing 100176, Zhuhai 519040, China.
Qianting WangTricision Biotherapeutic Inc, Beijing 100176, Zhuhai 519040, China.
Pengfei XuTricision Biotherapeutic Inc, Beijing 100176, Zhuhai 519040, China.
Huan XiaTricision Biotherapeutic Inc, Beijing 100176, Zhuhai 519040, China.
Lijun LuTricision Biotherapeutic Inc, Beijing 100176, Zhuhai 519040, China.
Liangzhi XieBeijing Engineering Research Center of Protein and Antibody, Sinocelltech Ltd., Beijing 100176, China.
Desheng KongBeijing Engineering Research Center of Protein and Antibody, Sinocelltech Ltd., Beijing 100176, China.
Shuangli ZhuNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Wenbo XuNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Capital Medical University · CNNational Institute for Viral Disease Control and Prevention · CNSinocelltech Group (China) · CNTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the various vaccines that have been developed to combat the coronavirus disease 2019 (COVID-19) pandemic, the persistent and unpredictable mutations of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) require innovative and unremitting solutions to cope with the resultant immune evasion and establish a sustainable immune barrier. Here we introduce a vaccine-delivery system with a combination of a needle-free injection (NFI) device and a SARS-CoV-2-Spike-specific mRNA-Lipid Nanoparticle (LNP) vaccine. The benefits are duller pain and a significant increase of immunogenicity compared to the canonical needle injection (NI). From physicochemical and bioactivity analyses, the structure of the mRNA-LNP maintains stability upon NFI, contradictory to the belief that LNPs are inclined towards destruction under the high-pressure conditions of NFI. Moreover, mRNA-LNP vaccine delivered by NFI induces significantly more binding and neutralizing antibodies against SARS-CoV-2 variants than the same vaccine delivered by NI. Heterogeneous vaccination of BA.5-LNP vaccine with NFI enhanced the generation of neutralizing antibodies against Omicron BA.5 variants in rabbits previously vaccinated with non-BA.5-specific mRNA-LNP or other COVID-19 vaccines. NFI parameters can be adjusted to deliver mRNA-LNP subcutaneously or intramuscularly. Taken together, our results suggest that NFI-based mRNA-LNP vaccination is an effective substitute for the traditional NI-based mRNA-LNP vaccination.

Indexed as

Lipid Nanoparticle (LNP)mRNA vaccineNeedle-free injection (NFI)Needle injection (NI)SARS-CoV-2

Identifiers

PMID36570700
PMCPMC9767897
OpenAlexW4313214801

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.