ArticleFrontiers in bioengineering and biotechnology2020
Construction and Analysis of Human Diseases and Metabolites Network.
Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Evaluating the VOCORDER device for early disease detection through breath analysis: study protocol for a two-phase clinical study.BMJ open · 2026Article
- Multi-phase hybrid metabolomics framework identifies clinically applicable plasma signatures for early detection of gastric cancer.Nature communications · 2026Article
- Integration of metabolomic and genetic data reveals novel variants underpinning the human metabolome: the Coronary Artery Risk Development in Young Adults (CARDIA) study.medRxiv : the preprint server for health sciences · 2026Article
- Non-Invasive Disease Specific Biomarker Detection Using Infrared Spectroscopy: A Review.Molecules (Basel, Switzerland) · 2023Review
- Metabolite-disease interaction prediction based on logistic matrix factorization and local neighborhood constraints.Frontiers in psychiatry · 2023Article
- Survey for Computer-Aided Tools and Databases in Metabolomics.Metabolites · 2022Review
- Leveraging omics data to boost the power of genome-wide association studies.HGG advances · 2022Article
- TumorMet: A repository of tumor metabolic networks derived from context-specific Genome-Scale Metabolic Models.Scientific data · 2022Article
- Simplifying the complex: accessible microfluidic solutions for contemporary processes withinLab on a chip · 2022Review
- Molecular Gatekeeper Discovery: Workflow for Linking Multiple Exposure Biomarkers to Metabolomics.Environmental science & technology · 2022Article
- Metabolomics Signatures and Subsequent Maternal Health among Mothers with a Congenital Heart Defect-Affected Pregnancy.Metabolites · 2022Article
- 2-hydroxyisobutyric acid (2-HIBA) modulates ageing and fat deposition inFrontiers in molecular biosciences · 2022Article
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7 authors.
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Abstract
The relationship between aberrant metabolism and the initiation and progression of diseases has gained considerable attention in recent years. To gain insights into the global relationship between diseases and metabolites, here we constructed a human diseases-metabolites network (HDMN). Through analyses based on network biology, the metabolites associated with the same disorder tend to participate in the same metabolic pathway or cascade. In addition, the shortest distance between disease-related metabolites was shorter than that of all metabolites in the Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic network. Both disease and metabolite nodes in the HDMN displayed slight clustering phenomenon, resulting in functional modules. Furthermore, a significant positive correlation was observed between the degree of metabolites and the proportion of disease-related metabolites in the KEGG metabolic network. We also found that the average degree of disease metabolites is larger than that of all metabolites. Depicting a comprehensive characteristic of HDMN could provide great insights into understanding the global relationship between disease and metabolites.
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