Evidence map›Paper›PMID 39287778›Full record

ReviewCurrent cardiology reports2024

Emerging CRISPR Therapies for Precision Gene Editing and Modulation in the Cardiovascular Clinic.

Nicholas J Legere, J Travis Hinson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Nicholas J LegereUniversity of Connecticut Health Center, Farmington, CT, USA.
J Travis HinsonUniversity of Connecticut Health Center, Farmington, CT, USA. hinson@uchc.edu.

Funding

Establishing and reversing the functional consequences of Titin truncation mutationsR01HL165220 · NHLBI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI CAMPBELL, STUART G, HINSON, JOHN TRAVIS · 2022 to 2025
$2.1M
The UConn/JAX-GM Training Program in Genomic ScienceT32HG010463 · NHGRI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI Mark D ADAMS, Christine R Beck · 2020 to 2026
$1.5M
HFSP 981320NHGRI NIH HHS T32 HG010463NIH HHS R01HL165220
6 · The paper itself

Abstract

purpose of reviewOutline the growing suite of novel genome editing tools powered by CRISPR-Cas9 technology that are rapidly advancing towards the clinic for the treatment of cardiovascular disorders. RECENT

findingsA diversity of new genome editors and modulators are being developed for therapies across myriad human diseases. Recent breakthroughs have improved the efficacy, safety, specificity, and delivery of CRISPR-mediated therapies that could impact heart disease in the next decade, though several challenges remain. Many iterations of the original CRISPR system have been developed seeking to leverage its vast therapeutic potential. As examples, nuclease-free editing, precision single-nucleotide editing, gene expression regulation, and epigenomic modifications are now feasible with the current CRISPR-mediated suite of enzymes. These emerging tools will be indispensable for the development of novel cardiovascular therapeutics as demonstrated by recent successes in both basic research laboratories and pre-clinical models. Here, we provide an overview of current and emerging CRISPR-mediated technologies as they pertain to the cardiovascular system, highlighting successful implementations and future challenges.

Indexed as

Cardiovascular DiseasesCRISPR-Cas SystemsGene EditingGenetic TherapyHumansCardiomyopathyCardiovascular DiseaseCRISPR-CasGenome EditingTherapeutic Development

Identifiers

What OpenQuestion 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 OpenQuestion graph.