Evidence map›Paper›PMID 36291194›Full record

ReviewCells2022

mRNA-Based Approaches to Treating Liver Diseases.

Maximiliano L Cacicedo, María José Limeres, Stephan Gehring

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  3. Codon-optimizedMolecular therapy. Nucleic acids · 2026
    Article
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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

3 authors at 1 institution in 1 country.

Maximiliano L CacicedoChildren's Hospital, University Medical Center Mainz of the Johannes-Gutenberg University, Langenbeckstr. 1, 55131 Mainz, Germany.ORCID 0000-0002-3144-8794
María José LimeresChildren's Hospital, University Medical Center Mainz of the Johannes-Gutenberg University, Langenbeckstr. 1, 55131 Mainz, Germany.ORCID 0000-0003-2848-4679
Stephan GehringChildren's Hospital, University Medical Center Mainz of the Johannes-Gutenberg University, Langenbeckstr. 1, 55131 Mainz, Germany.
Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diseases that affect the liver account for approximately 2 million deaths worldwide each year. The increasing prevalence of these diseases and the limited efficacy of current treatments are expected to stimulate substantial growth in the global market for therapeutics that target the liver. Currently, liver transplantation is the only curative option available for many liver diseases. Gene therapy represents a valuable approach to treatment. The liver plays a central role in a myriad of essential metabolic functions, making it an attractive organ for gene therapy; hepatocytes comprise the most relevant target. To date, viral vectors constitute the preferred approach to targeting hepatocytes with genes of therapeutic interest. Alternatively, mRNA-based therapy offers a number of comparative advantages. Clinical and preclinical studies undertaken to treat inherited metabolic diseases affecting the liver, cirrhosis and fibrosis, hepatocellular carcinoma, hepatitis B, and cytomegalovirus using lipid nanoparticle-encapsulated mRNAs that encode the therapeutic or antigenic protein of interest are discussed.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsNanoparticlesHumansLiposomesRNA, MessengerLipid NanoparticlesLiposomesRNA, Messengercirrhosishepatocellular carcinomainherited metabolic diseaseslipid nanoparticlestherapeutic mRNA constructs

Identifiers

PMID36291194
PMCPMC9601253
OpenAlexW4307371803

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.