Diagnosing diabetic nephropathy by 1H NMR metabonomics of serum View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-12

AUTHORS

Ville-Petteri Mäkinen, Pasi Soininen, Carol Forsblom, Maija Parkkonen, Petri Ingman, Kimmo Kaski, Per-Henrik Groop, Mika Ala-Korpela, On behalf of the FinnDiane Study Group

ABSTRACT

OBJECT: The most severe complication of type 1 diabetes (T1DM) is diabetic nephropathy. It is associated with a high risk of cardiovascular complications and premature death and requires early detection to be efficiently treated. The clinical practice to diagnose diabetic nephropathy is also a non-optimal and tedious set up based on albumin excretion rate in multiple overnight or 24h urine samples. Conversely, in this study, these independent diagnostic data are used to provide a realistic testing case for applying (1)H NMR metabonomics of serum in a diagnostic fashion. MATERIALS AND METHODS: 182 T1DM and 21 non-diabetic (non-T1DM) individuals were studied. The (1)H NMR of serum at 500 MHz was targeted at two molecular windows: lipoprotein lipids and low-molecular-weight metabolites. RESULTS: T1DM and non-T1DM individuals were exclusively separated by (1)H NMR. For diabetic nephropathy diagnosis in the T1DM patients, (1)H NMR data (and clinical biochemistry data) gave a sensitivity of 87.1% (83.9%) and a specificity of 87.7% (95.9%). The predictive values of positive and negative tests were 89.0% (95.5%) and 83.6% (79.2%), respectively. CONCLUSIONS: (1)H NMR metabonomics clearly distinguishes metabolic characteristics of T1DM and appears approximately as good a means to diagnose diabetic nephropathy from serum as an advanced set of biochemical variables. More... »

PAGES

281-296

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10334-006-0054-y

DOI

http://dx.doi.org/10.1007/s10334-006-0054-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045666953

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17171386


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