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Targeted Clinical M...
Targeted Clinical Metabolite Profiling Platform for the Stratification of Diabetic Patients
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- Ahonen, Linda (författare)
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
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- Jäntti, Sirkku (författare)
- Drug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
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- Suvitaival, Tommi (författare)
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
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- Theilade, Simone (författare)
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
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- Risz, Claudia (författare)
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
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- Kostiainen, Risto (författare)
- Drug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
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- Rossing, Peter (författare)
- Steno Diabetes Center Copenhagen, Gentofte, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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- Oresic, Matej, 1967- (författare)
- Örebro universitet,Institutionen för medicinska vetenskaper,Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
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- Hyötyläinen, Tuulia, 1971- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik
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(creator_code:org_t)
- 2019-09-14
- 2019
- Engelska.
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Ingår i: Metabolites. - : MDPI. - 2218-1989 .- 2218-1989. ; 9:9
- Relaterad länk:
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https://doi.org/10.3...
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https://oru.diva-por... (primary) (Raw object)
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https://www.mdpi.com...
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Annan medicinsk bioteknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Other Medical Biotechnology (hsv//eng)
Nyckelord
- Clinical diagnostics
- diabetes
- mass spectrometry
- metabolomics
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Ahonen, Linda
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Jäntti, Sirkku
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Suvitaival, Tomm ...
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Theilade, Simone
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Risz, Claudia
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Kostiainen, Rist ...
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Rossing, Peter
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Oresic, Matej, 1 ...
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Hyötyläinen, Tuu ...
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- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Medicinsk biotek ...
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och Annan medicinsk ...
- Artiklar i publikationen
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Metabolites
- Av lärosätet
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Örebro universitet