Evidence map›Paper›PMID 41322492›Full record

ReviewFrontiers in cardiovascular medicine2025

The advances of DEAD-box RNA helicase 17 in chronic non-infectious diseases.

Mi Xiong, Qiang Wang, Ting Wang, Meiling Li, Xiangxiang Deng, Jia Wang, De Li, Yongjian Yang, Xiongshan Sun

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 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

9 authors.

Mi Xiong *Department of Cardiology, The General Hospital of Western Theater Command, Chengdu, Sichuan, China.
Qiang Wang *Department of Cardiology, The General Hospital of Western Theater Command, Chengdu, Sichuan, China.
Ting Wang *Department of Cardiology, The General Hospital of Western Theater Command, Chengdu, Sichuan, China.
Meiling LiDepartment of Cardiology, The General Hospital of Western Theater Command, Chengdu, Sichuan, China.
Xiangxiang DengDepartment of Cardiology, The General Hospital of Western Theater Command, Chengdu, Sichuan, China.
Jia WangDepartment of Cardiology, The General Hospital of Western Theater Command, Chengdu, Sichuan, China.
De LiDepartment of Cardiology, The General Hospital of Western Theater Command, Chengdu, Sichuan, China.
Yongjian YangDepartment of Cardiology, The General Hospital of Western Theater Command, Chengdu, Sichuan, China.
Xiongshan SunDepartment of Cardiology, The General Hospital of Western Theater Command, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DEAD-box RNA helicase 17 (DDX17), a key member of the DEAD-box family, is vital in cellular physiological processes. This review summarizes its structural properties, distribution, functions, disease associations, and research trends. Structurally, DDX17 has a conserved DEAD-box domain with RNA-dependent ATPase and helicase activities, producing p72 and p82 isoforms. It distributes in the nucleus and cytoplasm, highly expressed in cardiomyocytes and neuronal tissues. Functionally, DDX17 regulates RNA metabolism, DNA repair, and protein interactions. It is linked to chronic non-infectious diseases: promoting tumor progression via pathways like Wnt/β-catenin; protecting myocardial function in cardiovascular diseases; and involving in neurological disorders.This review provides insights for exploring its biological functions and clinical applications.

Indexed as

cardiovascular diseaseschronic non-infectious diseasesDDX17functionstructuretumors

Identifiers

PMID41322492
PMCPMC12660213

What OpenQuestion holds

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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.