Evidence map›Paper›PMID 40392981›Full record

ReviewBiomolecules & biomedicine2025

Review of roles of RNA-binding proteins on NAFLD and the related pharmaceutical measures.

Changjin Li, Fan Yang, Zuohui Yuan, Xiaoguo Wei

Abstract readReview
In one paragraph

Review in Biomolecules & biomedicine, 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

4 authors.

Changjin LiDepartment of Gastroenterology, Gansu Provincial Hospital, Lanzhou 730000, Gansu, China.
Fan YangDepartment of Gastroenterology, Gansu Provincial Hospital, Lanzhou 730000, Gansu, China.
Zuohui YuanDepartment of Gastroenterology, Gansu Provincial Hospital, Lanzhou 730000, Gansu, China.
Xiaoguo WeiDepartment of Gastroenterology, Gansu Provincial Hospital, Lanzhou 730000, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide and poses a serious threat to public health. NAFLD is considered a risk factor for metabolic syndrome (MS) and is closely associated with type 2 diabetes mellitus (T2DM), obesity, dyslipidemia, and cardiovascular disease. Recently, increasing attention has been paid to the role of RNA-binding proteins (RBPs) in the pathogenesis of NAFLD. A growing body of research has linked RBPs-such as human antigen R (HuR), sequestosome 1 (p62), polypyrimidine tract-binding protein 1 (PTBP1), and heterogeneous nuclear ribonucleoproteins (hnRNPs)-to lipogenesis and inflammation, both of which contribute to NAFLD through mechanisms involving transcriptional regulation, alternative splicing, RNA stability, polyadenylation, and subcellular localization. However, these findings are often fragmented and lack a comprehensive synthesis. The interactions and mechanisms between RBPs and NAFLD have not yet been thoroughly reviewed. This article provides an overview of the roles and mechanisms of various RBPs in NAFLD, summarizing current knowledge with the aid of figures and tables. In particular, it highlights the influence of HuR on NAFLD through multiple pathways, categorizing its effects based on increased or decreased expression. Furthermore, it reviews drugs that alleviate NAFLD by modulating RBPs, aiming to offer valuable insights for drug-targeted therapies based on RBP regulatory networks.

Indexed as

Non-alcoholic Fatty Liver DiseaseRNA-Binding ProteinsAnimalsHumansPolypyrimidine Tract-Binding ProteinPolypyrimidine Tract-Binding ProteinRNA-Binding Proteins

Identifiers

PMID40392981
PMCPMC12451981

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Registered trials

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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.