ReviewSmart medicine2023
Roles of N6-methyladenosine epitranscriptome in non-alcoholic fatty liver disease and hepatocellular carcinoma.
Review in Smart medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Letter to the Editor: Circadian and microbial misalignment in metabolic dysfunction-associated steatotic liver disease - mechanistic insights and chronotherapeutic potential.World journal of experimental medicine · 2026Article
- Energy metabolism alteration and gene expression reprogramming in a cell model of high fat load non-alcoholic fatty liver disease.BMC gastroenterology · 2026Article
- TRIM21 as a Context-Dependent Regulator in Hepatocellular Carcinoma: Integrating Etiological Landscapes (HBV/NASH) with Core Tumor Progression Mechanisms.Journal of hepatocellular carcinoma · 2026Review
- Mapping the Intellectual Landscape: A 20-Year Bibliometric Analysis of Mechanisms in Metabolic Dysfunction-Associated Steatotic Liver Disease.Hepatic medicine : evidence and research · 2025Article
- Review
- Roles of N6-methyladenosine epitranscriptome in non-alcoholic fatty liver disease and hepatocellular carcinoma.Smart medicine · 2023Review
- Emerging roles of RNA-binding proteins in fatty liver disease.Wiley interdisciplinary reviews. RNAReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a typical chronic liver disease connected to a high risk of developing hepatocellular carcinoma (HCC). The development of NAFLD and HCC has been associated with changes in epigenetics, such as histone modifications and micro RNA (miRNA)-mediated processes. Recently, in the realm of epitranscriptomics, RNA alterations have become important regulators. N6-methyladenosine (m6A) is the most common and crucial alteration for controlling mRNA stability, splicing, and translation. It is particularly important for controlling liver disease progression and hepatic function. This review aims to conclude recent research on the functions of m6A epitranscriptome in the molecular mechanisms behind NAFLD and HCC development, with special attention to the effects of m6A alteration on how HCC develops and its possible roles in the progression of NAFLD to HCC. Additionally, the review discusses the possible effects of m6A alteration on the treatment and diagnostic of NAFLD and HCC. It is crucial to remember that m6A modification is a reversible action controlled via the coordinated functions of the proteins that write and delete, enabling quick adaptability to environmental changes. The review also discusses m6A-binding proteins' function in mRNA alternative splicing, translation, and degradation and their ability to modulate mRNA stability and processing. Understanding RNA modification regulation and its part in the emergence of HCC and NAFLD may provide new avenues for diagnosing and treating these diseases.
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Registered trials
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.