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Targeted Clinical Metabolite Profiling Platform for the Stratification of Diabetic Patients
Steno Diabetes Center Copenhagen, Gentofte, Denmark.
Drug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland.
Steno Diabetes Center Copenhagen, Gentofte, Denmark.
Steno Diabetes Center Copenhagen, Gentofte, Denmark.
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2019 (Engelska)Ingår i: Metabolites, ISSN 2218-1989, E-ISSN 2218-1989, Vol. 9, nr 9, artikel-id E184Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Several small molecule biomarkers have been reported in the literature for prediction and diagnosis of (pre)diabetes, its co-morbidities, and complications. Here, we report the development and validation of a novel, quantitative method for the determination of a selected panel of 34 metabolite biomarkers from human plasma. We selected a panel of metabolites indicative of various clinically-relevant pathogenic stages of diabetes. We combined these candidate biomarkers into a single ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method and optimized it, prioritizing simplicity of sample preparation and time needed for analysis, enabling high-throughput analysis in clinical laboratory settings. We validated the method in terms of limits of detection (LOD) and quantitation (LOQ), linearity (R2), and intra- and inter-day repeatability of each metabolite. The method's performance was demonstrated in the analysis of selected samples from a diabetes cohort study. Metabolite levels were associated with clinical measurements and kidney complications in type 1 diabetes (T1D) patients. Specifically, both amino acids and amino acid-related analytes, as well as specific bile acids, were associated with macro-albuminuria. Additionally, specific bile acids were associated with glycemic control, anti-hypertensive medication, statin medication, and clinical lipid measurements. The developed analytical method is suitable for robust determination of selected plasma metabolites in the diabetes clinic.

Ort, förlag, år, upplaga, sidor
MDPI, 2019. Vol. 9, nr 9, artikel-id E184
Nyckelord [en]
Clinical diagnostics, diabetes, mass spectrometry, metabolomics
Nationell ämneskategori
Annan medicinsk bioteknologi
Identifikatorer
URN: urn:nbn:se:oru:diva-77192DOI: 10.3390/metabo9090184ISI: 000487936600020PubMedID: 31540069OAI: oai:DiVA.org:oru-77192DiVA, id: diva2:1360095
Forskningsfinansiär
Novo Nordisk, NNF14OC0013659Tillgänglig från: 2019-10-11 Skapad: 2019-10-11 Senast uppdaterad: 2020-02-14Bibliografiskt granskad

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Oresic, MatejHyötyläinen, Tuulia

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