Combining lipidomics and machine learning to measure clinical lipids in dried blood spots.

Snowden, Stuart G; Korosi, Aniko; de Rooij, Susanne R; Koulman, Albert

Snowden, Stuart G; Korosi, Aniko; de Rooij, Susanne R; Koulman, Albert.

Affiliation

Snowden SG; Core Metabolomics and Lipidomics Laboratory, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Level 4 Pathology, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Korosi A; Centre for Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
de Rooij SR; Department of Clinical Epidemiology, Amsterdam University Medical Centre, Biostatistics & Bio informaticslocation AMC, Amsterdam, The Netherlands.
Koulman A; Department of Public Health, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.

Metabolomics ; 16(8): 83, 2020 07 24.

Article in En | MEDLINE | ID: mdl-32710150

Subject(s)

Dried Blood Spot Testing/methods; Lipidomics/methods; Lipids/analysis; Adolescent; Biomarkers; Blood Specimen Collection/methods; Child; Cholesterol/analysis; Cholesterol/blood; Cholesterol, HDL/analysis; Cholesterol, HDL/blood; Cholesterol, LDL/analysis; Cholesterol, LDL/blood; Cohort Studies; Female; Humans; Lipids/blood; Machine Learning; Male; Middle Aged; Netherlands; Triglycerides/analysis; Triglycerides/blood

Key words

HDL; LDL; Lipidomics; Total cholesterol; Triglyceride

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Full text: 1 Database: MEDLINE Main subject: Dried Blood Spot Testing / Lipidomics / Lipids Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: En Year: 2020 Type: Article

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