Identifying potential prognosis markers in relapsed multiple myeloma via integrated bioinformatics analysis and biological experiments.

Background: Almost all multiple myeloma (MM) patients will eventually develop disease that has relapsed with or become refractory to current therapeutic regimes. However, the pervious clinical parameters have been proved inaccurate for defining MM relapse, and molecular targets have become the focuses of interests. Prognostic predictions based on molecular targets have been more effective to this day.

Proteolysis-targeting influenza vaccine strains induce broad-spectrum immunity and in vivo protection.

Generating effective live vaccines from intact viruses remains challenging owing to considerations of safety and immunogenicity. Approaches that can be applied in a systematic manner are needed. Here we created a library of live attenuated influenza vaccines by using diverse cellular E3 ubiquitin ligases to generate proteolysis-targeting (PROTAR) influenza A viruses.

PROTAR Vaccine 2.0 generates influenza vaccines by degrading multiple viral proteins.

Manipulating viral protein stability using the cellular ubiquitin-proteasome system (UPS) represents a promising approach for developing live-attenuated vaccines. The first-generation proteolysis-targeting (PROTAR) vaccine had limitations, as it incorporates proteasome-targeting degrons (PTDs) at only the terminal ends of viral proteins, potentially restricting its broad application. Here we developed the next-generation PROTAR vaccine approach, referred to as PROTAR 2.

SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments.

Falling is an emergency situation that can result in serious injury or even death, especially in the absence of immediate assistance. Therefore, developing a model that can accurately and promptly detect falls is crucial for enhancing quality of life and safety. In the field of object detection, while YOLOv8 has recently made notable strides in detection accuracy and speed, it still faces challenges in detecting falls due to variations in lighting, occlusions, and complex human postures.

Natural promising daphnane diterpenoids: An integrated review of their sources, structural classification, biological activities, and synthesis.

Daphnane diterpenoids, as one of the representative types of diterpenoid compounds with rich structural diversity and significant biological activities, have an uncommon 5/7/6 tricyclic skeleton mainly found in species of Thymelaeaceae and Euphorbiaceae families. Due to the unique peculiarity of the framework and remarkable pharmacological activities, over the past three decades, novel structures have been continuously discovered and more structural subtypes have been derived. However, there is always a lack of a unified and convincing structural classification strategy for the summary of daphnane diterpenoids, which affects the in-depth and systematic research of pharmaceutical chemists and pharmacologists.