Zhen Li , Tianning Sun , Zhigang He , Zhixiao Li , Jun Xiong , Hongbing Xiang
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引用次数: 0
Abstract
Regulating the gut microbiota alleviates hepatic encephalopathy (HE). Whether it is imperative to withhold treatment for microbial imbalance after liver functional recovery remains unclear. The aim of this work was to elucidate the alterations in cognitive behavior, liver function, synaptic transmission, and brain metabolites in acute liver failure (ALF) mice before and after hepatic function recovery. Towards this end, thioacetamide was injected intraperitoneally to establish an ALF mouse model, which induced HE. Hierarchical clustering analysis indicated that while the liver functions normalized, cognitive dysfunction and intestinal dysbacteriosis occurred in the ALF mice 14 days after thioacetamide injection. In addition, fecal microbiota transplantation from the ALF mice with liver function recovery induced liver injury and cognitive impairment. Alterations in synaptic transmission were found in the ALF mice with liver function improvement, and the correlations between the gut bacteria and synaptic transmission in the cortex were significant. Finally, apparent alterations in the brain metabolic profiles of the ALF mice were detected after liver function improvement by performing 1H nuclear magnetic resonance spectroscopy, suggesting a risk of HE. These results showed that intestinal dysbacteriosis in ALF mice with liver function recovery is sufficient to induce liver injury and cognitive impairment. This indicates that continuous care may be necessary for monitoring microbial imbalance even in patients with ALF-induced HE whose liver function has recovered significantly.
期刊介绍:
The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.