Chinese Medical Journal article reveals the potential of efferocytosis in mitigating stroke-induced brain damage
Peer-Reviewed Publication
Updates every hour. Last Updated: 1-May-2025 11:08 ET (1-May-2025 15:08 GMT/UTC)
Stroke, a leading cause of global mortality, poses significant challenges due to limited therapeutic options and devastating impact on brain health. This review delves into the role of efferocytosis, a vital cellular process responsible for clearing apoptotic cells, in both neurodevelopment and ischemic stroke recovery. By examining its molecular mechanisms and therapeutic potential, the study offers critical insights into innovative strategies aimed at mitigating ischemic brain damage and improving patient outcomes.
Identifying biomarkers for predicting radiotherapy efficacy is crucial for optimizing personalized treatments. We previously reported that rs1553867776 in the miR-4274 seed region can predict survival in patients with rectal cancer receiving postoperative chemoradiation therapy. Hence, to investigate the molecular mechanism of the genetic variation and its impact on the radiosensitivity of colorectal cancer (CRC), in this study, bioinformatics analysis is combined with functional experiments to confirm peroxisomal biogenesis factor 5 (PEX5) as a direct target of miR-4274. The miR-4274 rs1553867776 variant influences the binding of miR-4274 and PEX5 mRNA, which subsequently regulates PEX5 protein expression. The interaction between PEX5 and Ku70 was verified by co-immunoprecipitation and immunofluorescence. A xenograft tumor model was established to validate the effects of miR-4274 and PEX5 on CRC progression and radiosensitivity in vivo. The overexpression of PEX5 enhances radiosensitivity by preventing Ku70 from entering the nucleus and reducing the repair of ionizing radiation (IR)-induced DNA damage by the Ku70/Ku80 complex in the nucleus. In addition, the enhanced expression of PEX5 is associated with increased IR-induced ferroptosis. Thus, targeting this mechanism might effectively increase the radiosensitivity of CRC. These findings offer novel insights into the mechanism of cancer radioresistance and have important implications for clinical radiotherapy.
The team proposed a distributed grade prediction model, dubbed FecMap, by exploiting the federated learning (FL) framework that preserves the private data of local clients and communicates with others through a global generalized model.
With the advances in thrust-weight ratio, the service temperature of gas turbine engines even exceeds 1500℃, which is urgent to develop high/superhigh temperature thermal protection systems for long-term service. Niobium alloys are increasingly viewed as a promising structural material for high-temperature applications due to their superior high-temperature mechanical strength, but the “pest” catastrophic oxidation greatly restricts its further application. Herein, a HfC-HfO2 modified silicide coating was prepared via an innovative method of halide-activated pack cementation combined with liquid-plasma-assisted particle deposition and sintering on niobium alloys, endowing the composite coating with excellent hot corrosion resistance and high-temperature oxidation resistance, which provided a new idea for developing an advanced modified silicide-based coating on turbine engines.
A new study published in Forest Ecosystems highlights the growing wildfire risk posed by standing dead trees in Yellowstone National Park. Using advanced machine learning and spatial analysis, the researchers mapped tree mortality and assessed the vulnerability of nearby infrastructure, offering valuable insights for fire management and wildfire mitigation efforts in high-risk areas.
In this issue of hLife, the team led by Prof. Min Wang from Ocean University of China systematically mined and characterized the diversity of viral reverse transcriptases from global metagenomic datasets. Viral reverse transcriptases are not only encoded by pathogenic retroviruses; their vast diversity is hidden in the genomes of ubiquitous bacteriophages, which are widely distributed in the human gut microbiomes and various ecosystems on Earth. This study is expected to shed light on their critical roles in microbial ecology and evolution, offering valuable insights for future antiviral strategies and biotechnological applications.