高级检索
当前位置: 首页 > 详情页

Ecological and network analyses identify four microbial species with potential significance for the diagnosis/treatment of ulcerative colitis (UC)(Open Access)

| 导出 | |

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE

机构: [1]Computational Biology and Medical Ecology Lab, State Key Laboratory ofGenetic Resources and Evolution, Kunming Institute of Zoology, ChineseAcademy of Sciences, Kunming, China [2]Kunming College of Life Sciences,University of Chinese Academy of Sciences, Kunming, China [3]Department ofGastroenterology, The First Affiliated Hospital of Kunming Medical University,Yunnan Institute of Digestive Disease, Kunming, Yunnan, China [4]Faculty ofScience, Kunming University of Science and Technology, Kunming, China [5]College of Mathematics, Honghe University, Mengzi, Yunnan Province,China [6]Department of General Surgery, The First Affiliated Hospital ofKunming Medical University, Yunnan Institute of Digestive Disease, Kunming,Yunnan, China [7]Institute of Fundamental and Frontier Sciences, University ofElectronic Science and Technology of China, Chengdu, China [8]Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences,Kunming, China
出处:
ISSN:

关键词: Core/periphery network Inflammatory bowel disease Mucosal microbiome Species co-occurrence network Species diversity Ulcerative colitis

摘要:
Background: Ulcerative colitis (UC) is one of the primary types of inflammatory bowel disease (IBD), the occurrence of which has been increasing worldwide. Although IBD is an intensively studied human microbiome-associated disease, research on Chinese populations remains relatively limited, particularly on the mucosal microbiome. The present study aimed to analyze the changes in the mucosal microbiome associated with UC from the perspectives of medical ecology and complex network analysis. Results: In total, 56 mucosal microbiome samples were collected from 28 Chinese UC patients and their healthy family partners, followed by amplicon sequencing. Based on sequencing data, we analyzed species diversity, shared species, and inter-species interactions at the whole community, main phyla, and core/periphery species levels. We identified four opportunistic “pathogens” (i.e., Clostridium tertium, Odoribacter splanchnicus, Ruminococcus gnavus, and Flavonifractor plautii) with potential significance for the diagnosis and treatment of UC, which were inhibited in healthy individuals, but unrestricted in the UC patients. In addition, we also discovered in this study: (i) The positive-to-negative links (P/N) ratio, which measures the balance of species interactions or inhibition effects in microbiome networks, was significantly higher in UC patients, indicating loss of inhibition against potentially opportunistic “pathogens” associated with dysbiosis. (ii) Previous studies have reported conflicting evidence regarding species diversity and composition between UC patients and healthy controls. Here, significant differences were found at the major phylum and core/periphery scales, but not at the whole community level. Thus, we argue that the paradoxical results found in existing studies are due to the scale effect. Conclusions: Our results reveal changes in the ecology and network structure of the gut mucosal microbiome that might be associated with UC, and these changes might provide potential therapeutic mechanisms of UC. The four opportunistic pathogens that were identified in the present study deserve further investigation in future studies. © 2021, The Author(s).

基金:
语种:
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2022]版:
大类 | 3 区 生物学
小类 | 3 区 微生物学
最新[2023]版:
大类 | 2 区 生物学
小类 | 3 区 微生物学
JCR分区:
出版当年[2021]版:
Q2 MICROBIOLOGY
最新[2023]版:
Q2 MICROBIOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

第一作者:
第一作者机构: [1]Computational Biology and Medical Ecology Lab, State Key Laboratory ofGenetic Resources and Evolution, Kunming Institute of Zoology, ChineseAcademy of Sciences, Kunming, China [2]Kunming College of Life Sciences,University of Chinese Academy of Sciences, Kunming, China
共同第一作者:
通讯作者:
通讯机构: [1]Computational Biology and Medical Ecology Lab, State Key Laboratory ofGenetic Resources and Evolution, Kunming Institute of Zoology, ChineseAcademy of Sciences, Kunming, China [2]Kunming College of Life Sciences,University of Chinese Academy of Sciences, Kunming, China [8]Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences,Kunming, China
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:53655 今日访问量:0 总访问量:1665 更新日期:2024-11-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 昆明医科大学第一附属医院 技术支持:重庆聚合科技有限公司 地址:云南省昆明市西昌路295号(650032)