![]() The microbial composition and metabolites in the stool samples were tested by using 16S ribosomal RNA ( rRNA) gene sequencing and non-targeted metabolomics. The pathological state of the gastric mucosa of rats was identified through HE staining and the main inflammatory cytokine levels in the serum were detected by the Luminex liquid suspension chip (Wayen Biotechnologies, Shanghai, China). Methods: In this study, multiple factors including MNNG, sodium salicylate drinking, ranitidine feed, and irregular diet were used to establish a PLGC rat model. However, the correlation of gut microbiota and metabolites, inflammatory factors, and the potential mechanism in the formation of PLGC have not yet been revealed. Accumulating evidence has shown that alterations in gut microbiota and metabolism are potentially linked to chronic inflammation and cancer of the gastrointestinal tract. In this study, we found that the gut microbiome changed significantly during the process of malignant transformation from chronic gastritis to GC in N-methyl-N′-nitro-N-nitrosoguanidine (MNNG) multiple factors-induced rat model. 7Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, Chinaīackground and Aims: Precancerous lesions of gastric cancer (PLGC) are the most important pathological phase with increased risk of gastric cancer (GC) and encompass the key stage in which the occurrence of GC can be prevented.6Beijing Research Institute of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.5Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.4Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.3Research Center for Spleen and Stomach Diseases of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.2School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China. ![]() 1Institute of Regulatory Science for Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.Fuhao Chu 1,2,3†, Yicong Li 4†, Xiangmei Meng 2,3†, Yuan Li 2,3, Tao Li 3,5, Mengyin Zhai 2,3, Haocheng Zheng 2,3, Tianxi Xin 2,3, Zeqi Su 3,6, Jie Lin 2,3*, Ping Zhang 7* and Xia Ding 2,3* ![]()
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