Evidence mapPaperPMID 40182424Full record

ReviewFrontiers in cardiovascular medicine2025

Harnessing RNA therapeutics: novel approaches and emerging strategies for cardiovascular disease management.

Wang Dui, Zhao Xiaobin, Zhang Haifeng, Dang Lijuan, Huang Wenhui, Zhang Zhengfeng, Song Jinling

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. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

7 authors.

Wang DuiDepartment of Cardiovascular Rehabilitation, The Third Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Baiyin, China.
Zhao XiaobinDepartment of Cardiovascular Rehabilitation, The Third Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Baiyin, China.
Zhang HaifengDepartment of Cardiovascular Rehabilitation, The Third Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Baiyin, China.
Dang LijuanDepartment of Endocrinology, The Third Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Baiyin, China.
Huang WenhuiCardiovascular Department, The Third Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Baiyin, China.
Zhang ZhengfengDepartment of Cardiovascular Rehabilitation, The Third Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Baiyin, China.
Song JinlingDepartment of Cardiovascular Rehabilitation, The Third Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Baiyin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA therapeutics are emerging as a promising approach for cardiovascular diseases (CVDs) management, offering targeted gene regulation through modalities like mRNA, siRNA, and miRNA. In recent years, researchers have conducted a lot of research on the application of RNA therapeutics technology in the treatment of CVDs. Despite hurdles in off-target effects and immune responses, the clinical trial outcomes are encouraging. This review synthesizes the current progress in RNA therapeutics for CVDs, examining their mechanisms, advantages, and challenges in delivery and safety. We highlight the potential of personalized medicine, combination artificial intelligence (AI) and bioinformatics in advancing RNA therapeutics. The future of RNA therapeutics in CVDs is poised for significant impact, necessitating continued research and interdisciplinary collaboration to optimize these treatments and ensure patient safety and efficacy.

Indexed as

cardiovascular diseasesmiRNAmRNARNA aptamersRNA delivery systemsRNA therapeuticssiRNA

Identifiers

PMID40182424
PMCPMC11965680

What Socratic 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 Socratic graph.