Metagenomic Analysis of Common Intestinal Diseases Reveals Relationships among Microbial Signatures and Powers Multidisease Diagnostic Models

Metagenomic Analysis of Common Intestinal Diseases Reveals Relationships among Microbial Signatures and Powers Multidisease Diagnostic Models

Gut microbes have been identified as potential markers in distinguishing patients from controls in colorectal cancer, ulcerative colitis, and Crohn’s disease individually, whereas there lacks a systematic analysis to investigate the exclusive microbial shifts of these enteropathies with similar cli...

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Main Authors: Puzi Jiang, Sicheng Wu, Qibin Luo, Xing-ming Zhao, Wei-Hua Chen
Format: Article
Language:English
Published: American Society for Microbiology 2021-06-01
Series:mSystems
Online Access:https://journals.asm.org/doi/10.1128/mSystems.00112-21
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spelling doaj-978ae8e56d464405892e6379b63652322021-09-21T18:52:39ZengAmerican Society for MicrobiologymSystems2379-50772021-06-016310.1128/mSystems.00112-21Metagenomic Analysis of Common Intestinal Diseases Reveals Relationships among Microbial Signatures and Powers Multidisease Diagnostic ModelsPuzi Jiang0Sicheng Wu1Qibin Luo2Xing-ming Zhao3Wei-Hua Chen4https://orcid.org/0000-0001-5160-4398Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaDepartment of Genome Oriented Bioinformatics, Technische Universität München, Wissenschaftszentrum Weihenstephan, Freising, GermanyInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, ChinaKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China Gut microbes have been identified as potential markers in distinguishing patients from controls in colorectal cancer, ulcerative colitis, and Crohn’s disease individually, whereas there lacks a systematic analysis to investigate the exclusive microbial shifts of these enteropathies with similar clinical symptoms. Our meta-analysis and cross-disease comparisons identified consistent microbial alterations in each enteropathy, revealed microbial ecosystems among marker bacteria in distinct states, and demonstrated the necessity and feasibility of metagenome-based multidisease classifications.https://journals.asm.org/doi/10.1128/mSystems.00112-21
collection DOAJ
language English
format Article
sources DOAJ
author Puzi Jiang
Sicheng Wu
Qibin Luo
Xing-ming Zhao
Wei-Hua Chen
spellingShingle Puzi Jiang
Sicheng Wu
Qibin Luo
Xing-ming Zhao
Wei-Hua Chen
Metagenomic Analysis of Common Intestinal Diseases Reveals Relationships among Microbial Signatures and Powers Multidisease Diagnostic Models
mSystems
author_facet Puzi Jiang
Sicheng Wu
Qibin Luo
Xing-ming Zhao
Wei-Hua Chen
author_sort Puzi Jiang
title Metagenomic Analysis of Common Intestinal Diseases Reveals Relationships among Microbial Signatures and Powers Multidisease Diagnostic Models
title_short Metagenomic Analysis of Common Intestinal Diseases Reveals Relationships among Microbial Signatures and Powers Multidisease Diagnostic Models
title_full Metagenomic Analysis of Common Intestinal Diseases Reveals Relationships among Microbial Signatures and Powers Multidisease Diagnostic Models
title_fullStr Metagenomic Analysis of Common Intestinal Diseases Reveals Relationships among Microbial Signatures and Powers Multidisease Diagnostic Models
title_full_unstemmed Metagenomic Analysis of Common Intestinal Diseases Reveals Relationships among Microbial Signatures and Powers Multidisease Diagnostic Models
title_sort metagenomic analysis of common intestinal diseases reveals relationships among microbial signatures and powers multidisease diagnostic models
publisher American Society for Microbiology
series mSystems
issn 2379-5077
publishDate 2021-06-01
description Gut microbes have been identified as potential markers in distinguishing patients from controls in colorectal cancer, ulcerative colitis, and Crohn’s disease individually, whereas there lacks a systematic analysis to investigate the exclusive microbial shifts of these enteropathies with similar clinical symptoms. Our meta-analysis and cross-disease comparisons identified consistent microbial alterations in each enteropathy, revealed microbial ecosystems among marker bacteria in distinct states, and demonstrated the necessity and feasibility of metagenome-based multidisease classifications.
url https://journals.asm.org/doi/10.1128/mSystems.00112-21
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AT sichengwu metagenomicanalysisofcommonintestinaldiseasesrevealsrelationshipsamongmicrobialsignaturesandpowersmultidiseasediagnosticmodels
AT qibinluo metagenomicanalysisofcommonintestinaldiseasesrevealsrelationshipsamongmicrobialsignaturesandpowersmultidiseasediagnosticmodels
AT xingmingzhao metagenomicanalysisofcommonintestinaldiseasesrevealsrelationshipsamongmicrobialsignaturesandpowersmultidiseasediagnosticmodels
AT weihuachen metagenomicanalysisofcommonintestinaldiseasesrevealsrelationshipsamongmicrobialsignaturesandpowersmultidiseasediagnosticmodels
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