Modified Vaccinia Virus Ankara Selectively Targets Human Cancer Cells With Low Expression of the Zinc-Finger Antiviral Protein.

Oncolytic viruses are emerging as promising cancer therapeutic agents, with several poxviruses, including vaccinia virus (VACV) and myxoma virus, showing significant potential in preclinical and clinical trials. Modified vaccinia virus Ankara (MVA), a laboratory-derived VACV strain approved by the FDA for mpox and smallpox vaccination, has been shown to be incapable of replicating in human cells unless zinc finger antiviral protein (ZAP) is repressed. Notably, ZAP deficiency is prevalent in various cancer types.

Ultrafast Thermal Switching Enabled by Transient Polaritons.

Ultrafast thermal switches are pivotal for managing heat generated in advanced solid-state applications, including high-speed chiplets, thermo-optical modulators, and on-chip lasers. However, conventional phonon-based switches cannot meet the demand for picosecond-level response times, and existing near-field radiative thermal switches face challenges in efficiently modulating heat transfer across vacuum gaps. To overcome these limitations, we propose an ultrafast thermal switch design based on pump-driven transient polaritons in asymmetric terminals.

Constitutively active receptor ADGRA3 signaling induces adipose thermogenesis.

The induction of adipose thermogenesis plays a critical role in maintaining body temperature and improving metabolic homeostasis to combat obesity. β3-adrenoceptor (β3-AR) is widely recognized as a canonical β-adrenergic G-protein-coupled receptor (GPCR) that plays a crucial role in mediating adipose thermogenesis in mice. Nonetheless, the limited expression of β3-AR in human adipocytes restricts its clinical application.

MLLT3 Regulates Melanoma Stemness and Progression by Inhibiting HMGB1 Nuclear Entry and MAGEA1 MC Modification.

Melanoma stem cells are a kind of cells with self-renewal and multi-directional differentiation potential. They are one of the key factors in the occurrence, development and metastasis of melanoma. This study demonstrates that MLLT3 is a transcription factor that regulates the stemness and progression of melanoma.

AI model using CT-based imaging biomarkers to predict hepatocellular carcinoma in patients with chronic hepatitis B.

Background & Aims: Various hepatocellular carcinoma (HCC) prediction models have been proposed for patients with chronic hepatitis B (CHB) using clinical variables. We aimed to develop an artificial intelligence (AI)-based HCC prediction model by incorporating imaging biomarkers derived from abdominal computed tomography (CT) images along with clinical variables.

Methods: An AI prediction model employing a gradient-boosting machine algorithm was developed utilizing imaging biomarkers extracted by DeepFore, a deep learning-based CT auto-segmentation software.