Zhen-Feng Wu1, Kun Zou1, Guan-Nan Wu1, Zhao-Jia Jin1, Chun-Jie Xiang2, Shuo Xu2, Yao-Hui Wang3, Xiao-Yu Wu1, Che Chen1, Zhe Xu1, Wei-Su Li1, Xue-Quan Yao4, Jun-Feng Zhang2, Fu-Kun Liu1. 1. Department of Surgical Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, No. 155 Hanzhong Road, Nanjing, 210029, People's Republic of China. 2. School of Medicine and Holistic Integrative Medicine, Nanjing University of Chinese Medicine, No. 138 Xianlin Avenue, Nanjing, 210023, People's Republic of China. 3. Department of Pathology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China. 4. Department of Surgical Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, No. 155 Hanzhong Road, Nanjing, 210029, People's Republic of China. xuequan_yao123@163.com.
Abstract
BACKGROUND: How gastric cancer (GC) incidence is associated with changes in the gastric microbiome has not been firmly established. The present study therefore aims to investigate the microbial communities present within the gastric mucosa of patients with superficial gastritis (SG) or GC. METHODS: Paired tumor and paracancerous samples of the gastric mucosa were collected from 18 patients being surgically treated for GC and from 32 patients with SG being treated via gastroscopy. The gastric microbiome in these samples was then profiled via 16S rRNA sequencing, with a linear discriminant analysis effect size (LEfSe) approach used to identify and compare different bacteria, and with PICRUSt used for predictive functional analyses. RESULTS: GC patients exhibited a distinct gastric microbiota profile from that observed in SG patients. These changes were evident in both tumor and paracancerous tissues from GC patients. Specifically, we found that 6 bacterial genera were specifically enriched in GC tissue samples relative to SG samples, while 18 genera were depleted in these same samples. Based on the differential abundance of these bacteria, we were able to calculate microbial dysbiosis index (MDI) values, which were significantly higher in GC patients than in SG patients. In addition, MDI values were negatively correlated with gastric Shannon index and were positively correlated with relative Helicobacter spp. abundance. Importantly, these MDI values were readily able to discriminate between GC and SG patient samples. Functional analysis suggested that GC patients were more likely to harbor a nitrosating microbial community. CONCLUSIONS: GC patients exhibited a gastric microbiome profile distinct from that observed in SG patients, with these differences being evident in both tumor and paracancerous tissues. Differences in the relative abundance of Helicobacter spp. may be the primary driver of gastric dysbiosis in GC patients.
BACKGROUND: How gastric cancer (GC) incidence is associated with changes in the gastric microbiome has not been firmly established. The present study therefore aims to investigate the microbial communities present within the gastric mucosa of patients with superficial gastritis (SG) or GC. METHODS: Paired tumor and paracancerous samples of the gastric mucosa were collected from 18 patients being surgically treated for GC and from 32 patients with SG being treated via gastroscopy. The gastric microbiome in these samples was then profiled via 16S rRNA sequencing, with a linear discriminant analysis effect size (LEfSe) approach used to identify and compare different bacteria, and with PICRUSt used for predictive functional analyses. RESULTS: GC patients exhibited a distinct gastric microbiota profile from that observed in SG patients. These changes were evident in both tumor and paracancerous tissues from GC patients. Specifically, we found that 6 bacterial genera were specifically enriched in GC tissue samples relative to SG samples, while 18 genera were depleted in these same samples. Based on the differential abundance of these bacteria, we were able to calculate microbial dysbiosis index (MDI) values, which were significantly higher in GC patients than in SG patients. In addition, MDI values were negatively correlated with gastric Shannon index and were positively correlated with relative Helicobacter spp. abundance. Importantly, these MDI values were readily able to discriminate between GC and SG patient samples. Functional analysis suggested that GC patients were more likely to harbor a nitrosating microbial community. CONCLUSIONS: GC patients exhibited a gastric microbiome profile distinct from that observed in SG patients, with these differences being evident in both tumor and paracancerous tissues. Differences in the relative abundance of Helicobacter spp. may be the primary driver of gastric dysbiosis in GC patients.
Authors: Kaisa Thorell; Johan Bengtsson-Palme; Oscar Hsin-Fu Liu; Reyna Victoria Palacios Gonzales; Intawat Nookaew; Linda Rabeneck; Lawrence Paszat; David Y Graham; Jens Nielsen; Samuel B Lundin; Åsa Sjöling Journal: Infect Immun Date: 2017-09-20 Impact factor: 3.441
Authors: Yang Guo; Yang Zhang; Markus Gerhard; Juan-Juan Gao; Raquel Mejias-Luque; Lian Zhang; Michael Vieth; Jun-Ling Ma; Monther Bajbouj; Stepan Suchanek; Wei-Dong Liu; Kurt Ulm; Michael Quante; Zhe-Xuan Li; Tong Zhou; Roland Schmid; Meinhard Classen; Wen-Qing Li; Wei-Cheng You; Kai-Feng Pan Journal: Gut Date: 2019-12-19 Impact factor: 23.059