It has recently become clear that the gut microbiota influence intestinal motility, intestinal barrier function, and mucosal immune function; therefore, the gut microbiota are deeply involved in the maintenance of intestinal homeostasis. The effects of the gut microbiota on the enteric nervous system (ENS) in the adult intestine, however, remain poorly understood. In the current study, we investigated the effects of the gut microbiota on the ENS.
View Article and Find Full Text PDFAm J Physiol Gastrointest Liver Physiol
November 2024
Unlabelled: The enteric nervous system (ENS) continues to be exposed to various disturbances throughout life, which causes apoptosis in the ENS. Therefore, it is assumed that neurogenesis is induced to maintain the neuronal network in the adult ENS. However, these underlying mechanisms are largely unknown.
View Article and Find Full Text PDFAccording to the 2016 World Health Organization classification, a germline DEAD-box helicase 41 gene () mutation with myeloid neoplasms has been newly classified. The clinical course of acute myeloid leukemia (AML) with a germline mutation has not yet been clarified. In the early phase, this condition is slowly progressive, the rate of remission induction is high, and the prognosis is good.
View Article and Find Full Text PDFArch Microbiol
November 2024
Plastics offer versatility, durability and low production costs, but they also pose environmental and health risks due to improper disposal, accumulation in water bodies, low recycling rates and temporal action that causes physicochemical changes in plastics and the release of toxic products to animal health and nature. Some microorganisms may play crucial roles in improving plastic waste management in the future. Cunningamella echinulata has been identified as a promising candidate that remains viable for long periods and produces a cutinase that is capable of degrading plastic.
View Article and Find Full Text PDFMultiherbal medicines are traditionally used as personalized medicines with custom combinations of crude drugs; however, the mechanisms of multiherbal medicines are unclear. In this study, we developed a novel pathway-based method to predict therapeutic effects and the mode of action of custom-made multiherbal medicines using machine learning. This method considers disease-related pathways as therapeutic targets and evaluates the comprehensive influence of constituent compounds on their potential target proteins in the disease-related pathways.
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