Lipopolymer Nanoparticle-Mediated In Vivo CRISPR-Cas9 Editing of Mrg15 Restores Mitochondrial Mitophagy to Alleviate Metabolic-Associated Steatohepatitis.
Aug 2026· Advanced Healthcare Materials· pp.
e71652
· 0 citations· 31 references
Medicine
Abstract
Metabolic-associated steatohepatitis (MASH) remains difficult to treat due to the lack of interventions capable of targeting upstream disease drivers and achieving durable disease modification. The epigenetic regulator Mrg15 has been implicated in mitochondrial dysfunction and metabolic stress in the liver, suggesting its potential relevance to MASH pathogenesis. Here, we develop a liver-targeted lipopolymer nanoparticle (LPNP)-mediated gene editing platform to enable in vivo disruption of Mrg15 by co-delivery of Cas9 mRNA and Mrg15 sgRNA. The screened P64H/Mrg15 system achieved efficient hepatic delivery and genome editing, resulting in reduced Mrg15 expression in hepatocytes. In the MASH mouse model, P64H/Mrg15 treatment was associated with decreased hepatic lipid accumulation, improved liver injury markers, and attenuation of inflammation and fibrosis. Sequence-level analyses confirmed on-target editing in liver tissue, and systemic histopathological evaluation revealed no overt toxicity in major organs under the tested dosing regimen. Transcriptomic profiling revealed coordinated pathway-level associations involving metabolic, inflammatory, and autophagy-related regulation, while protein-level analyses demonstrated alterations in selected autophagy- and mitophagy-related regulators, including TUFM and LC3B-II. Together, these findings identify Mrg15 as a disease-relevant epigenetic regulator in MASH and highlight liver-directed P64H LPNP/CRISPR delivery as a promising non-viral strategy for modulating upstream regulatory pathways in metabolic liver disease.
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 e...
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
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.· International Conference on...· 84 citations· ⚡6
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.· Journal of Systems and Softw...· 78 citations· ⚡6
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.· arXiv.org· 62 citations· ⚡3
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 adoptio...
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.