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| http://dx.doi.org/10.1097/CM9.0000000000001460 | DOI Listing |
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Influenza A virus NS2 protein acts on vRNA-resident polymerase to drive the transcription to replication switch.
Nucleic Acids Res
January 2025
CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
The heterotrimeric RNA-dependent RNA polymerase (RdRp) of influenza A virus catalyzes viral RNA transcription (vRNA→mRNA) and replication (vRNA→cRNA→vRNA) by adopting different conformations. A switch from transcription to replication occurs at a relatively late stage of infection. We recently reported that the viral NS2 protein, expressed at later stages from a spliced transcript of the NS segment messenger RNA (mRNA), inhibits transcription, promotes replication and plays a key role in the transcription-to-replication switch.
View Article and Find Full Text PDFThe study investigates the effectiveness of immersive virtual reality (VR) as a nonpharmaceutical approach to manage postoperative pain in patients following thoracoscopic surgery. In this single-center, triple-arm pilot randomized controlled trial (RCT), 61 postsurgical patients with a postoperative pain numerical rating scale (NRS) score ≥4 after receiving standard analgesia were included and assigned to either a quantum clinics-VR (QTC-VR) group, a Placebo-VR group, or a control group. The QTC-VR group engaged in a daily 10-minute interactive pain relief 3D-VR program, while the Placebo-VR group watched a daily 10-minute relaxation-based 2D film through VR headsets for three days following surgery.
View Article and Find Full Text PDFConstruction of an Artificially Intelligent Model for Accurate Detection of HCC by Integrating Clinical, Radiological, and Peripheral Immunological Features.
Int J Surg
January 2025
Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Background: Integrating comprehensive information on hepatocellular carcinoma (HCC) is essential to improve its early detection. We aimed to develop a model with multi-modal features (MMF) using artificial intelligence (AI) approaches to enhance the performance of HCC detection.
Materials And Methods: A total of 1,092 participants were enrolled from 16 centers.
Background: High-grade serous ovarian cancer (HGSOC) remains one of the most challenging gynecological malignancies, with over 70% of ovarian cancer patients ultimately experiencing disease progression. The current prognostic tools for progression-free survival (PFS) in HGSOC patients have limitations. This study aims to develop an explainable machine learning (ML) model for predicting PFS in HGSOC patients.
View Article and Find Full Text PDFExploring the links between gallstone disease, non-alcoholic fatty liver disease, and kidney stones: A path to comprehensive prevention.
World J Gastroenterol
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Université de Bourgogne, Institut Agro-INRAe, Dijon 21000, France.
The recent study exploring the bidirectional associations between gallstone disease, non-alcoholic fatty liver disease, and kidney stone disease highlights a critical concern in chronic disease management. Given the rising global prevalence of these conditions, understanding their interconnections is essential. The study emphasizes the importance of shared risk factors, such as obesity, type 2 diabetes, dyslipidemia, and oxidative stress, and calls for multidisciplinary screening strategies.
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