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Tongue coating microbiome as a potential biomarker for gastritis including precancerous cascade

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收录情况: ◇ SCIE ◇ 统计源期刊 ◇ CSCD-C

单位: [1]MOE Key Laboratory of Bioinformatics and TCM-X center/Bioinformatics Division, BNRist/Department of Automation, Tsinghua University, Beijing 100084, China [2]China-Japan Friendship Hospital, Beijing 100029, China [3]In stitute for Artificial Intelligence and Department of Computer Science and lech no logy, Tsin ghua Un iversity, Beijing 100084, China [4]School of Life Sciences and Cerder for Synthetic and Sys怕ms Biology, Tsinghua University, Beijing 100084, China
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关键词: gastritis tongue coating metagenomics Campylobacter concisus non-invasive biomarker

摘要:
The development of gastritis is associated with an increased risk of gastric cancer. Current invasive gastritis diagnostic methods are not suitable for monitoring progress. In this work based on 78 gastritis patients and 50 healthy individuals, we observed that the variation of tongue-coating microbiota was associated with the occurrence and development of gastritis. Twenty-one microbial species were identified for differentiating tongue-coating microbiomes of gastritis and healthy individuals. Pathways such as microbial metabolism in diverse environments, biosynthesis of antibiotics and bacterial chemotaxis were up-regulated in gastritis patients. The abundance of Campylobacter concisus was found associated with the gastric precancerous cascade. Furthermore, Campylobacter concisus could be detected in tongue coating and gastric fluid in a validation cohort containing 38 gastritis patients. These observations provided biological evidence of tongue diagnosis in traditional Chinese medicine, and indicated that tongue-coating microbiome could be a potential non-invasive biomarker, which might be suitable for long-term monitoring of gastritis.

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出版当年[2018]版:
大类 | 2 区 生物
小类 | 3 区 细胞生物学
最新[2025]版:
大类 | 1 区 生物学
小类 | 1 区 细胞生物学
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出版当年[2017]版:
Q1 CELL BIOLOGY
最新[2023]版:
Q1 CELL BIOLOGY

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2017版] 出版当年五年平均[2013-2017] 出版前一年[2016版] 出版后一年[2018版]

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第一作者单位: [1]MOE Key Laboratory of Bioinformatics and TCM-X center/Bioinformatics Division, BNRist/Department of Automation, Tsinghua University, Beijing 100084, China
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通讯机构: [1]MOE Key Laboratory of Bioinformatics and TCM-X center/Bioinformatics Division, BNRist/Department of Automation, Tsinghua University, Beijing 100084, China [4]School of Life Sciences and Cerder for Synthetic and Sys怕ms Biology, Tsinghua University, Beijing 100084, China
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