Evidence mapPaperPMID 40886286Full record

ReviewAdvances in experimental medicine and biology2025

Circular RNAs in Liver Diseases.

Archittapon Nokkeaw, Chaiyaboot Ariyachet

Abstract readReview
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In one paragraph

Review in Advances in experimental medicine and biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Archittapon NokkeawDepartment of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Chaiyaboot AriyachetDepartment of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand. Chaiyaboot.A@chula.ac.th.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circular RNAs (circRNAs), a class of recently discovered noncoding RNAs, exhibit a distinctive feature in comparison to other noncoding RNAs, such as microRNAs (miRNAs) and long noncoding RNAs (lncRNAs). They are characterized by the formation of a covalent bond between the 3' and 5' ends through a process known as back-splicing, rendering them remarkably resistant to degradation by exonucleases, particularly RNase R. This inherent stability contributes to their prolonged expression compared to their linear counterparts. Recent investigations have unveiled the pivotal role of circRNAs in the regulation of gene expression through various mechanisms, including the modulation of host gene splicing, acting as miRNA sponges, interacting with proteins, and even demonstrating translational capabilities to produce proteins. These diverse functions position circRNAs as key players in the complex landscape of the pathogenesis of various diseases, including liver disease. Unraveling the intricate involvement of circRNAs in these liver disorders provides valuable insights into their diagnostic and therapeutic potential. This chapter aims to comprehensively examine the current body of literature, consolidating our understanding of the complex regulatory networks orchestrated by circRNAs in liver pathophysiology. Additionally, it strives to identify potential avenues for therapeutic intervention and diagnostic innovation, thus contributing to the burgeoning field of precision medicine in liver disease management.

Indexed as

LiverLiver DiseasesRNA, CircularAnimalsGene Expression RegulationGene Regulatory NetworksHumansMicroRNAsRNA, Long NoncodingMicroRNAsRNA, CircularRNA, Long NoncodingCircular RNAHepatocellular carcinomaLiver diseasesMetabolic-associated fatty liver diseasemiRNA sponge

Identifiers

What Socratic 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 Socratic graph.