ArticleMolecular systems biology2008
1H NMR metabonomics approach to the disease continuum of diabetic complications and premature death.
Article in Molecular systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.
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Who cites it
66 citing papers in PubMed.
- Trial
- Quantitative metabolomics by H-NMR and LC-MS/MS confirms altered metabolic pathways in diabetes.PloS one · 2010Trial
- Detection Limits of Blood Metabolites at Physiological Concentrations Using BenchtopNMR in biomedicine · 2026Article
- Exploration of Metabolomic Markers Associated With Declining Kidney Function in People With Type 2 Diabetes Mellitus.Journal of the Endocrine Society · 2023Article
- Longitudinal metabolomics of increasing body-mass index and waist-hip ratio reveals two dynamic patterns of obesity pandemic.International journal of obesity (2005) · 2023Observational
- Optimized Metabotype Definition Based on a Limited Number of Standard Clinical Parameters in the Population-Based KORA Study.Life (Basel, Switzerland) · 2022Article
- Cross-sectional metabolic subgroups and 10-year follow-up of cardiometabolic multimorbidity in the UK Biobank.Scientific reports · 2022Article
- Integrative analysis of metabolomic, genomic, and imaging-based phenotypes identify very-low-density lipoprotein as a potential risk factor for lumbar Modic changes.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2022Article
- Article
- Article
- Omics research in diabetic kidney disease: new biomarker dimensions and new understandings?Journal of nephrology · 2020Review
- Heavy metals interfere with plasma metabolites, including lipids and amino acids, in patients with breast cancer.Oncology letters · 2020Article
- Evaluation of heavy metals and metabolites in the urine of patients with breast cancer.Oncology letters · 2020Article
- Blood multiomics reveal insights into population clusters with low prevalence of diabetes, dyslipidemia and hypertension.PloS one · 2020Article
- Review
- Alteration of Amino Acid Profiling Influenced by the Active Ingredients of DanHong Injection After Prescription Optimization.Drug design, development and therapy · 2019Article
- Paving the Way to Precision Nutrition Through Metabolomics.Frontiers in nutrition · 2019Review
- Circulating metabolic biomarkers of renal function in diabetic and non-diabetic populations.Scientific reports · 2018Article
- UPLC-HRMS-Based Plasma Metabolomic Profiling of Novel Biomarkers by Treatment with KDZI in Cerebral Ischemia Reperfusion Rats.Molecules (Basel, Switzerland) · 2018Article
- A peripheral blood transcriptomic signature predicts autoantibody development in infants at risk of type 1 diabetes.JCI insight · 2018Article
6 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors.
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Abstract
Subtle metabolic changes precede and accompany chronic vascular complications, which are the primary causes of premature death in diabetes. To obtain a multimetabolite characterization of these high-risk individuals, we measured proton nuclear magnetic resonance (1H NMR) data from the serum of 613 patients with type I diabetes and a diverse spread of complications. We developed a new metabonomics framework to visualize and interpret the data and to link the metabolic profiles to the underlying diagnostic and biochemical variables. Our results indicate complex interactions between diabetic kidney disease, insulin resistance and the metabolic syndrome. We illustrate how a single 1H NMR protocol is able to identify the polydiagnostic metabolite manifold of type I diabetes and how its alterations translate to clinical phenotypes, clustering of micro- and macrovascular complications, and mortality during several years of follow-up. This work demonstrates the diffuse nature of complex vascular diseases and the limitations of single diagnostic biomarkers. However, it also promises cost-effective solutions through high-throughput analytics and advanced computational methods, as applied here in a case that is representative of the real clinical situation.
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