ReviewMedComm2024
Gene editing therapy for cardiovascular diseases.
Review in MedComm, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Translational Geroscience Strategies for Delaying Multimorbidity.ACS pharmacology & translational science · 2026Review
- Therapeutic precision gene editing of cholesterol pathways as a gene therapy strategy for cardiovascular disease.Gene therapy · 2026Review
- TGF-β: The Molecular Mechanisms of Atherosclerosis - insights into SMAD Pathways and Gene Therapy Prospects.Current medicinal chemistry · 2026Review
- CRISPR and Fanzor in sickle cell disease: current progress and future prospects.Frontiers in genome editing · 2026Review
- Progress in brucellosis immune regulation inflammatory mechanisms and diagnostic advances.European journal of medical research · 2025Review
- Advancements and challenges in pediatric dilated cardiomyopathy: a comprehensive review of current approaches and future directions.European journal of pediatrics · 2025Review
- Exploring Phosphatase and Tensin Homologue Deleted on Chromosome Ten (PTEN) as a Potential Therapeutic Target for Cardiac Hypertrophy.ACS pharmacology & translational science · 2025Review
- From Bench to Bedside: Translating Cellular Rejuvenation Therapies into Clinical Applications.Cells · 2024Review
- Gene editing therapy for cardiovascular diseases.MedComm · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of gene editing tools has been a significant area of research in the life sciences for nearly 30 years. These tools have been widely utilized in disease detection and mechanism research. In the new century, they have shown potential in addressing various scientific challenges and saving lives through gene editing therapies, particularly in combating cardiovascular disease (CVD). The rapid advancement of gene editing therapies has provided optimism for CVD patients. The progress of gene editing therapy for CVDs is a comprehensive reflection of the practical implementation of gene editing technology in both clinical and basic research settings, as well as the steady advancement of research and treatment of CVDs. This article provides an overview of the commonly utilized DNA-targeted gene editing tools developed thus far, with a specific focus on the application of these tools, particularly the clustered regularly interspaced short palindromic repeat/CRISPR-associated genes (Cas) (CRISPR/Cas) system, in CVD gene editing therapy. It also delves into the challenges and limitations of current gene editing therapies, while summarizing ongoing research and clinical trials related to CVD. The aim is to facilitate further exploration by relevant researchers by summarizing the successful applications of gene editing tools in the field of CVD.
Indexed as
Identifiers
What OpenQuestion holds
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.