ArticlePloS one2011
The implications of relationships between human diseases and metabolic subpathways.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed, 51 citations in OpenAlex.
- Discovering disease-disease associations using electronic health records in The Guideline Advantage (TGA) dataset.Scientific reports · 2021Article
- Degree Adjusted Large-Scale Network Analysis Reveals Novel Putative Metabolic Disease Genes.Biology · 2021Article
- Construction and Analysis of Human Diseases and Metabolites Network.Frontiers in bioengineering and biotechnology · 2020Article
- Evaluating relevance and redundancy to quantify how binary node metadata interplay with the network structure.Scientific reports · 2019Article
- Identifying cancer-related microRNAs based on subpathways.IET systems biology · 2018Article
- Pathway networks generated from human disease phenome.BMC medical genomics · 2018Article
- Identification of a robust subpathway-based signature for acute myeloid leukemia prognosis using an miRNA integrated strategy.PloS one · 2018Article
- Integrating gene and lncRNA expression to infer subpathway activity for tumor analyses.Oncotarget · 2017Article
- sPAGM: inferring subpathway activity by integrating gene and miRNA expression-robust functional signature identification for melanoma prognoses.Scientific reports · 2017Article
- Detecting Disease Specific Pathway Substructures through an Integrated Systems Biology Approach.Non-coding RNA · 2017Article
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- Comprehensive characterization of lncRNA-mRNA related ceRNA network across 12 major cancers.Oncotarget · 2016Article
- Subpathway-CorSP: Identification of metabolic subpathways via integrating expression correlations and topological features between metabolites and genes of interest within pathways.Scientific reports · 2016Article
- Revealing the potential pathogenesis of glioma by utilizing a glioma associated protein-protein interaction network.Pathology oncology research : POR · 2015Article
- Cofunctional Subpathways Were Regulated by Transcription Factor with Common Motif, Common Family, or Common Tissue.BioMed research international · 2015Article
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- Walking the interactome to identify human miRNA-disease associations through the functional link between miRNA targets and disease genes.BMC systems biology · 2013Article
- Prioritising risk pathways of complex human diseases based on functional profiling.European journal of human genetics : EJHG · 2013Article
Corrections and comments
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the challenging problems in the etiology of diseases is to explore the relationships between initiation and progression of diseases and abnormalities in local regions of metabolic pathways. To gain insight into such relationships, we applied the "k-clique" subpathway identification method to all disease-related gene sets. For each disease, the disease risk regions of metabolic pathways were then identified and considered as subpathways associated with the disease. We finally built a disease-metabolic subpathway network (DMSPN). Through analyses based on network biology, we found that a few subpathways, such as that of cytochrome P450, were highly connected with many diseases, and most belonged to fundamental metabolisms, suggesting that abnormalities of fundamental metabolic processes tend to cause more types of diseases. According to the categories of diseases and subpathways, we tested the clustering phenomenon of diseases and metabolic subpathways in the DMSPN. The results showed that both disease nodes and subpathway nodes displayed slight clustering phenomenon. We also tested correlations between network topology and genes within disease-related metabolic subpathways, and found that within a disease-related subpathway in the DMSPN, the ratio of disease genes and the ratio of tissue-specific genes significantly increased as the number of diseases caused by the subpathway increased. Surprisingly, the ratio of essential genes significantly decreased and the ratio of housekeeping genes remained relatively unchanged. Furthermore, the coexpression levels between disease genes and other types of genes were calculated for each subpathway in the DMSPN. The results indicated that those genes intensely influenced by disease genes, including essential genes and tissue-specific genes, might be significantly associated with the disease diversity of subpathways, suggesting that different kinds of genes within a disease-related subpathway may play significantly differential roles on the diversity of diseases caused by the corresponding subpathway.
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