Evidence map›Paper›PMID 36357682›Full record

ReviewNature medicine2022

The landscape of mRNA nanomedicine.

Xiangang Huang, Na Kong, Xingcai Zhang, Yihai Cao, Robert Langer, Wei Tao

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 235 papers.

0numbers the graph read from it
0cells of the map it votes in
235citing papers in PubMed
36.5field-weighted citation impact, top 1% 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

235 citing papers in PubMed, 456 citations in OpenAlex.

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  14. Machine-Learning Microfluidic Minute-Scale Microorganism Metrics Monitoring(M6).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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175 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

6 authors at 5 institutions in 3 countries.

Xiangang Huang *Center for Nanomedicine and Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-8948-7879
Na Kong *Center for Nanomedicine and Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Xingcai Zhang *School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-7114-1095
Yihai CaoDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden. yihai.cao@ki.se.ORCID http://orcid.org/0000-0003-1308-0065
Robert LangerKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. rlanger@mit.edu.ORCID http://orcid.org/0000-0003-4255-0492
Wei TaoCenter for Nanomedicine and Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. wtao@bwh.harvard.edu.ORCID http://orcid.org/0000-0002-4277-3728
Brigham and Women's Hospital · USHarvard University · USIIT@MIT · USKarolinska Institutet · SEZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Messenger RNA (mRNA) is an emerging class of therapeutic agent for the prevention and treatment of a wide range of diseases. The recent success of the two highly efficacious mRNA vaccines produced by Moderna and Pfizer-BioNTech to protect against COVID-19 highlights the huge potential of mRNA technology for revolutionizing life science and medical research. Challenges related to mRNA stability and immunogenicity, as well as in vivo delivery and the ability to cross multiple biological barriers, have been largely addressed by recent progress in mRNA engineering and delivery. In this Review, we present the latest advances and innovations in the growing field of mRNA nanomedicine, in the context of ongoing clinical translation and future directions to improve clinical efficacy.

Indexed as

COVID-19NanomedicineHumansProteinsRNA, MessengerProteinsRNA, Messenger

Identifiers

PMID36357682
OpenAlexW4308834995

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.