Background: Reports in recent years have shown that pancreatic β-cell pyroptosis represents a critical mechanism involved with the progressive failure of pancreatic function. Previous research from our laboratory has indicated that artemether can increase the number of cells in pancreatic islets of db/db mice. In this study, we further examined whether artesunate (ART) protects pancreatic β-cells from the damage of streptozotocin (STZ) by inhibiting pyroptosis.
Materials And Methods: In vitro, MIN6 cells exposed to 1 mM STZ were treated with ART (0.8 or 1.6 μM). The effects of ART on STZ-treated cells were evaluated through CCK-8 assay, flow cytometry and western blot, and further compared the effects of ART with the NLRP3 inhibitor, Mcc950 upon pyroptosis pathway proteins using western blot. In vivo, Male C57 mice were administered with a single intraperitoneal injection of STZ, and those with confirmed diabetes mellitus were given ART (0.5 or 1.0 mg/ml in drinking water) for 18 days. The effects of ART on STZ-induced diabetes were assessed by the observation of the general situation, glucose tolerance test, hematoxylin-eosin (HE) staining and immunohistochemistry.
Results: In MIN6 cells treated with STZ, we found that ART increased cell viability, decreased the number of late apoptotic cells (including pyroptosis cells) and inhibited the expression of proteins associated with the pyroptosis pathway. In STZ-induced animal model, the administration of ART reduced blood glucose levels, improved the consumption status within this diabetic mouse model and inhibited the expression of proteins include in the pyroptosis pathway in mice pancreats.
Conclusions: Inhibition of pyroptosis may be a critical mechanism through which artesunate exerts protective effects upon pancreatic β cells.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ygcen.2022.114068 | DOI Listing |
BMC Genomics
December 2024
College of Physics and Electronic Information, Gannan Normal University, Ganzhou, 341000, Jiangxi, China.
Long non-coding RNAs (lncRNAs) play crucial roles in numerous biological processes and are involved in complex human diseases through interactions with proteins. Accurate identification of lncRNA-protein interactions (LPI) can help elucidate the functional mechanisms of lncRNAs and provide scientific insights into the molecular mechanisms underlying related diseases. While many sequence-based methods have been developed to predict LPIs, efficiently extracting and effectively integrating potential feature information that reflects functional attributes from lncRNA and protein sequences remains a significant challenge.
View Article and Find Full Text PDFNeural Netw
December 2024
School of Artificial Intelligence, Anhui University, Hefei, 230601, Anhui, China; Engineering Research Center of Autonomous Unmanned System Technology, Ministry of Education, Hefei, 230601, Anhui, China; Anhui Provincial Engineering Research Center for Unmanned Systems and Intelligent Technology, Hefei, 230601, Anhui, China; School of Automation, Southeast University, Nanjing, 211189, Jiangsu, China. Electronic address:
Deep reinforcement learning (DRL) exploits the powerful representational capabilities of deep neural networks (DNNs) and has achieved significant success. However, compared to DNNs, spiking neural networks (SNNs), which operate on binary signals, more closely resemble the biological characteristics of efficient learning observed in the brain. In SNNs, spiking neurons exhibit complex dynamic characteristics and learn based on principles of biological plasticity.
View Article and Find Full Text PDFNeural Netw
December 2024
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China; Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100190, China.
Session-based recommendation aims to recommend the next item based on short-term interactions. Traditional session-based recommendation methods assume that all interacted items are closely related to the user's interests. However, noise (e.
View Article and Find Full Text PDFAdv Colloid Interface Sci
December 2024
Department of Chemistry and Centre for Advance Study in Chemistry, Panjab University, Chandigarh, India. Electronic address:
Meeting the contemporary demand for the development of functional, biocompatible, and environment friendly self-assembled structures using efficient, cost-effective, and energy-saving methods, the field of colloids has witnessed a surge in interest. Research into cationic and anionic (catanionic) surfactant combinations has gained momentum due to their distinct advantages and synergistic properties in this context. Catanionic self-assemblies have emerged as promising contenders for addressing these requirements.
View Article and Find Full Text PDFPhytomedicine
December 2024
Jinan Central Hospital, Shandong First Medical University, Jinan 250013, Shandong, China. Electronic address:
Background: The dysregulation of ribosome biogenesis has been extensively identified in various cancers, making it emerge as a hallmark of malignant cells. This highlights the potential of targeting ribosome biogenesis as an effective approach for treating cancer patients. Although chemotherapy drugs including doxorubicin and cisplatin often target ribosome biogenesis to induce DNA damage or inhibit tumor cell proliferation, they are associated with significant side effects.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!