ACS Pharmacol Transl Sci
January 2025
Blockade of the TGFβ signaling pathway has emerged from preclinical studies as a potential treatment to enhance the efficacy of immune checkpoint inhibition in advanced colorectal cancer (CRC) and several other types of cancer. However, clinical translation of first-generation inhibitors has shown little success. Here, we report the synthesis and characterization of HYL001, a potent inhibitor of TGFβ receptor 1 (ALK5), that is approximately 9 times more efficacious than the structurally related compound galunisertib, while maintaining a favorable safety profile.
View Article and Find Full Text PDFObjectives: to identify how first-year nursing students use cyberspace and propose an orientation guide with criteria guiding the use of cyberspace.
Methods: qualitative and descriptive research, carried out with 24 nursing students from a federal public institution in Rio de Janeiro. Data collection was carried out through semi-structured interviews.
Acute lymphoblastic leukemia (ALL) poses a significant challenge due to its high relapse rate despite initial chemotherapy. Cell therapy plays an important and promising role in refractory ALL cases. The aim is to present a complex case of a 20-year-old male patient with relapsed ALL and to explore the different therapeutic options of cellular therapy - allogeneic hematopoietic stem cell transplantation, donor lymphocyte infusion, and chimeric antigen receptor T - detailing the collection, processing, and infusion, as well as the associated complications and management strategies.
View Article and Find Full Text PDFTicks are hematophagous ectoparasites that transmit pathogens and inflict significant economic losses on the cattle industry. Remarkably, they can survive extended periods of starvation in the absence of a host. The primary objective of this study was to investigate the metabolic adaptations that enable the tick to endure starvation using the BME26 cell line as a model system.
View Article and Find Full Text PDFCollaborative intelligence (CI) involves human-machine interactions and is deemed safety-critical because their reliable interactions are crucial in preventing severe injuries and environmental damage. As these applications become increasingly data-driven, the reliability of CI applications depends on the quality of data, shaping the system's ability to interpret and respond in diverse and often unpredictable environments. In this regard, it is important to adhere to data quality standards and guidelines, thus facilitating the advancement of these collaborative systems in industry.
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