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http://dx.doi.org/10.1136/bmjstel-2017-000205 | DOI Listing |
Hepatology
October 2024
Department of Pediatrics, Papé Family Pediatric Research Institute, Oregon Health & Science University, Portland, Oregon, USA.
The liver is a highly regenerative organ capable of significant proliferation and remodeling during homeostasis and injury responses. Experiments of nature in rare genetic diseases have illustrated that healthy hepatocytes may have a selective advantage, outcompete diseased cells, and result in extensive liver replacement. This observation has given rise to the concept of therapeutic liver repopulation by providing an engineered selective advantage to a subpopulation of beneficial hepatocytes.
View Article and Find Full Text PDFAnal Chem
January 2025
College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun 130012, China.
Vanin-1 is a pantetheine hydrolase that plays a key role in inflammatory diseases. Effective tools for noninvasive, real-time monitoring of Vanin-1 are lacking, largely due to background fluorescence interference in existing probes. To address this issue, we developed a dual-modal fluorescent and colorimetric probe, MB-Van1, to detect Vanin-1 with high sensitivity and selectivity.
View Article and Find Full Text PDFClin Transl Gastroenterol
December 2024
Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Introduction: Gastric cancer (GC) is a leading cause of cancer-related deaths worldwide, with delayed diagnosis often limiting effective treatment options. This study introduces a novel, non-invasive radiomics-based approach utilizing [18F] FDG PET/CT to predict VEGF status and survival in GC patients. The ability to non-invasively assess these parameters can significantly influence therapeutic decisions and outcomes.
View Article and Find Full Text PDFJ Med Chem
January 2025
Hangzhou Carbonsilicon AI Technology Company Limited, Hangzhou 310018, Zhejiang, China.
Applying artificial intelligence techniques to flexibly model the binding between the ligand and protein has attracted extensive interest in recent years, but their applicability remains improved. In this study, we have developed CarsiDock-Flex, a novel two-step flexible docking paradigm that generates binding poses directly from predicted structures. CarsiDock-Flex consists of an equivariant deep learning-based model termed CarsiInduce to refine ESMFold-predicted protein pockets with the induction of specific ligands and our existing CarsiDock algorithm to redock the ligand into the induced binding pockets.
View Article and Find Full Text PDFClin Cancer Res
January 2025
Institute of Cancer Research, Sutton, Surrey, United Kingdom.
Purpose: Advanced prostate cancer (PCa) is invariably fatal with the androgen receptor (AR) being a major therapeutic target. AR signaling inhibitors have improved overall survival for men with advanced PCa, but treatment resistance is inevitable and includes reactivation of AR signaling. Novel therapeutic approaches targeting these mechanisms to block tumor growth is an urgent unmet clinical need.
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