Hierarchical multi-task deep learning-assisted construction of human gut microbiota reactive oxygen species-scavenging enzymes database.

In the process of oxygen reduction, reactive oxygen species (ROS) are generated as intermediates, including superoxide anion (O), hydrogen peroxide (HO), and hydroxyl radicals (OH). ROS can be destructive, and an imbalance between oxidants and antioxidants in the body can lead to pathological inflammation. Inappropriate ROS production can cause oxidative damage, disrupting the balance in the body and potentially leading to DNA damage in intestinal epithelial cells and beneficial bacteria.

ROSes-FINDER: a multi-task deep learning framework for accurate prediction of microorganism reactive oxygen species scavenging enzymes.

Reactive oxygen species (ROS) are highly reactive molecules that play important roles in microbial biological processes. However, excessive accumulation of ROS can lead to oxidative stress and cellular damage. Microorganism have evolved a diverse suite of enzymes to mitigate the harmful effects of ROS.

[Cytotoxicity of Karenia mikimotoi extracts].

Objective: To investigate the potential threat of K. mikimotoi on human health by analyzing the negative effects of K. mikimotoi extract on three cancer cells, HepG2, HeLa and A549.

[Effects of some membrane lipids on the hemolysis induced by hemolytic toxin from Karenia mikimotoi].

Objective: To explore the effects of some membrane lipids on the hemolysis induced by hemolytic toxin from Karenia mikimotoi.

Methods: Effects of exogenous membrane lipids such as lecithin, sphingomyelin, L-alpha-phosphatidic acid,cholesterol and gangliosides on the hemolysis induced by the hemolytic toxin were observed. The sensitivities of some erythrocytes from different animals such as rabbit, rat and fish to the hemolytic toxin were evaluated.