Skip to content
#gene editing Review

Precision Genome Editing Strategies for Enduring Lipid Lowering in Atherosclerosis.

Sep 2026 · European Journal of Pharmacology · pp. 179312 · 0 citations · 45 references
Medicine

Abstract

Atherosclerosis continues to be a primary contributor to global cardiovascular mortality, influenced by intricate lipid and inflammatory mechanisms. Despite the efficacy of conventional pharmacotherapies, ongoing issues of patient non-adherence and residual risk have prompted the exploration of more enduring therapeutic alternatives. This review examines the significant transition in cardiovascular research from conventional, wide knockout models to the utilization of advanced precision genome editing methods, particularly emphasizing CRISPR-Cas9, base editing, and prime editing. These sophisticated molecular tools allow for the accurate insertion and rectification of single-nucleotide variants without causing double-strand breaks, marking a significant shift from rudimentary gene disruption to precise variant engineering. By specifically targeting essential lipid-regulating genes like proprotein convertase subtilisin/kexin type 9 (PCSK9) and angiopoietin-like 3 (ANGPTL3), precision editing presents an exceptional opportunity for lasting, one-shot lipid-lowering treatments. Additionally, we examine the advancement of preclinical modeling, emphasizing humanized models that precisely represent population genetics. This review highlights the essential obstacles to clinical translation, focusing on the optimization of delivery systems such as adeno-associated viruses (AAVs) and lipid nanoparticles (LNPs), as well as the thorough assessment of off-target effects and ethical implications.

View source

Similar papers

#computer vision Conference Aug 2008

A Preliminary Roadmap for Empirical Research on Agile Software Development

Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on experienced agile teams and organizations, connecting better to existing streams of research in more established fields, giving more attention to management-oriented approaches, and finally give more emphasis to the core ideas in agile software development in order to increase our understanding. We hope that this preliminary roadmap serves as a starting point for creating a common research agenda and enables the generation of fruitful discussions and research results from the field.

Torgeir Dingsøyr, T. Dybå, P. Abrahamsson · 92 citations · ⚡7
#computer vision Book Open access Mar 2017

On the Unhappiness of Software Developers

The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 84 citations · ⚡6
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Review Apr 2024

AI-powered Code Review with LLMs: Early Results

The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.

Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al. · 62 citations · ⚡3
#computer vision Conference Aug 2008

Scrum in a Multiproject Environment: An Ethnographically-Inspired Case Study on the Adoption Challenges

Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoption of Agile methods in general, and Scrum in particular. Little, if anything, is empirically known about the application and adoption of Scrum in a multi-team and multi-project situation. The authors carried out an ethnographically informed longitudinal case study in industrial settings and closely followed how the Scrum method was adopted in a 20-person department, working in a simultaneous multi-project R&D environment. Altogether 10 challenges pertinent to the case of multi-team multi-project Scrum adoption were identified in the study. The authors contend that these results carry great relevance for other industrial teams. Future research avenues arising from the study are indicated.

A. Marchenko, P. Abrahamsson · 59 citations · ⚡11

Related blog posts

GPT-Lab Sep 17, 2026

Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering

AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.

MIT News · Artificial Intelligence Sep 14, 2026

New method enables AI for safety-critical situations

The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.