title: An analysis of human microbe-disease associations.
abstract: The microbiota living in the human body has critical impacts on our health and disease, but a systems understanding of its relationships with disease remains limited. Here, we use a large-scale text mining-based manually curated microbe-disease association data set to construct a microbe-based human disease network and investigate the relationships between microbes and disease genes, symptoms, chemical fragments and drugs. We reveal that microbe-based disease loops are significantly coherent. Microbe-based disease connections have strong overlaps with those constructed by disease genes, symptoms, chemical fragments and drugs. Moreover, we confirm that the microbe-based disease analysis is able to predict novel connections and mechanisms for disease, microbes, genes and drugs. The presented network, methods and findings can be a resource helpful for addressing some issues in medicine, for example, the discovery of bench knowledge and bedside clinical solutions for disease mechanism understanding, diagnosis and therapy.
authors.forename: Wei
authors.initials: W
authors.lastname: Ma
authors.forename: Lu
authors.initials: L
authors.lastname: Zhang
authors.forename: Pan
authors.initials: P
authors.lastname: Zeng
authors.forename: Chuanbo
authors.initials: C
authors.lastname: Huang
authors.forename: Jianwei
authors.initials: J
authors.lastname: Li
authors.forename: Bin
authors.initials: B
authors.lastname: Geng
authors.forename: Jichun
authors.initials: J
authors.lastname: Yang
authors.forename: Wei
authors.initials: W
authors.lastname: Kong
authors.forename: Xuezhong
authors.initials: X
authors.lastname: Zhou
authors.forename: Qinghua
authors.initials: Q
authors.lastname: Cui
mesh_terms: D001424:Bacterial Infections; D057225:Data Mining; D006801:Humans
keywords: disease; microbiota; network biology