ArticlePLoS computational biology2010
Interpreting metabolomic profiles using unbiased pathway models.
Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 55 citations in OpenAlex.
- Exploratory Application of Neuropharmacometabolomics in Severe Childhood Traumatic Brain Injury.Critical care medicine · 2018Trial
- Improved metabolic health alters host metabolism in parallel with changes in systemic xeno-metabolites of gut origin.PloS one · 2014Trial
- Closing the 'phenotype gap' in precision medicine: improving what we measure to understand complex disease mechanisms.Mammalian genome : official journal of the International Mammalian Genome Society · 2019Review
- Annotation: A Computational Solution for Streamlining Metabolomics Analysis.Analytical chemistry · 2018Review
- RNA-Sequencing of Primary Retinoblastoma Tumors Provides New Insights and Challenges Into Tumor Development.Frontiers in genetics · 2018Article
- Article
- Accelerated oligosaccharide absorption and altered serum metabolites during oral glucose tolerance test in young Japanese with impaired glucose tolerance.Journal of diabetes investigation · 2017Article
- Blood transcriptomics and metabolomics for personalized medicine.Computational and structural biotechnology journal · 2016Review
- Lipid and Metabolic Changes in Rheumatoid Arthritis.Current rheumatology reports · 2015Review
- Biomarkers of Nutrition for Development-Folate Review.The Journal of nutrition · 2015Review
- Article
- Article
- Integration of untargeted metabolomics with transcriptomics reveals active metabolic pathways.Metabolomics : Official journal of the Metabolomic Society · 2014Article
- Neurorestorative targets of dietary long-chain omega-3 fatty acids in neurological injury.Molecular neurobiology · 2014Article
- MIRA: mutual information-based reporter algorithm for metabolic networks.Bioinformatics (Oxford, England) · 2014Article
- Mitochondrial metabolomics using high-resolution Fourier-transform mass spectrometry.Methods in molecular biology (Clifton, N.J.) · 2014Article
- Genetic variants associated with glycine metabolism and their role in insulin sensitivity and type 2 diabetes.Diabetes · 2013Article
- Top-down network analysis to drive bottom-up modeling of physiological processes.Journal of computational biology : a journal of computational molecular cell biology · 2013Article
- Predicting network activity from high throughput metabolomics.PLoS computational biology · 2013Article
- Novel insights into obesity and diabetes through genome-scale metabolic modeling.Frontiers in physiology · 2013Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
Human disease is heterogeneous, with similar disease phenotypes resulting from distinct combinations of genetic and environmental factors. Small-molecule profiling can address disease heterogeneity by evaluating the underlying biologic state of individuals through non-invasive interrogation of plasma metabolite levels. We analyzed metabolite profiles from an oral glucose tolerance test (OGTT) in 50 individuals, 25 with normal (NGT) and 25 with impaired glucose tolerance (IGT). Our focus was to elucidate underlying biologic processes. Although we initially found little overlap between changed metabolites and preconceived definitions of metabolic pathways, the use of unbiased network approaches identified significant concerted changes. Specifically, we derived a metabolic network with edges drawn between reactant and product nodes in individual reactions and between all substrates of individual enzymes and transporters. We searched for "active modules"--regions of the metabolic network enriched for changes in metabolite levels. Active modules identified relationships among changed metabolites and highlighted the importance of specific solute carriers in metabolite profiles. Furthermore, hierarchical clustering and principal component analysis demonstrated that changed metabolites in OGTT naturally grouped according to the activities of the System A and L amino acid transporters, the osmolyte carrier SLC6A12, and the mitochondrial aspartate-glutamate transporter SLC25A13. Comparison between NGT and IGT groups supported blunted glucose- and/or insulin-stimulated activities in the IGT group. Using unbiased pathway models, we offer evidence supporting the important role of solute carriers in the physiologic response to glucose challenge and conclude that carrier activities are reflected in individual metabolite profiles of perturbation experiments. Given the involvement of transporters in human disease, metabolite profiling may contribute to improved disease classification via the interrogation of specific transporter activities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.