Metabolomic Fingerprints in Large Population Cohorts: Impact of Preanalytical Heterogeneity-Reference-Cited by-同舟云学术

Metabolomic Fingerprints in Large Population Cohorts: Impact of Preanalytical Heterogeneity

Published:2021-08-01 Issue:8 Volume:67 Page:1153-1155
ISSN:0009-9147
Container-title:Clinical Chemistry
language:en
Short-container-title:

Author:

Ghini Veronica¹,Abuja Peter M²,Polasek Ozren³⁴,Kozera Lukasz⁵,Laiho Päivi⁶,Anton Gabriele⁷,Zins Marie⁸,Klovins Janis⁹,Metspalu Andres¹⁰,Wichmann H -Erich¹¹,Gieger Christian¹¹,Luchinat Claudio¹¹²¹³,Zatloukal Kurt²,Turano Paola¹¹²¹³

Affiliation:

1. Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (CIRMMP), Sesto Fiorentino (FI), Italy

2. Diagnostic and Research Center for Molecular Biomedicine, Institute of Pathology, Medical University of Graz, Graz, Austria

3. Department for Large Population Studies, University of Split, Split, Croatia

4. Gen-Info Ltd, Zagreb, Croatia

5. BBMRI-ERIC, Graz, Austria

6. Institute for Molecular Medicine Finland, & National Institute for Health and Welfare, THL, University of Helsinki, Helsinki, Finland

7. Molecular Epidemiology, Helmholtz-Zentrum München, Neuherberg, Germany

8. Population-based Epidemiological Cohorts Unit-UMS 11, Inserm, Villejuif, France

9. Latvian Biomedical Research and Study Centre, Rīga, Latvia

10. Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia

11. Institute of Epidemiology, Helmholtz Center Munich, Neuherberg, Germany

12. Center of Magnetic Resonance (CERM), University of Florence, Sesto Fiorentino (FI), Italy

13. Department of Chemistry, University of Florence, Sesto Fiorentino (FI), Italy

Funder

EU Horizon 2020 research and innovation program

FP7 projects BBMRI-LPC

SPIDIA

Gentransmed

AIRC

FIRC fellowship for Italy

Publisher

Oxford University Press (OUP)

Subject

Biochemistry, medical,Clinical Biochemistry

Link

http://academic.oup.com/clinchem/article-pdf/67/8/1153/39588783/hvab092.pdf

Reference5 articles.

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2. Quality markers addressing preanalytical variations of blood and plasma processing identified by broad and targeted metabolite profiling;Kamlage;Clin Chem,2014

3. NMR for sample quality assessment in metabolomics;Ghini;New Biotechnol,2019

4. Uniqueness of the NMR approach to metabolomics;Takis;Trends Anal Chem,2019

5. Regulation of glycolysis in the erythrocyte: role of the lactate/pyruvate and NAD/NADH ratios;Tilton;J Lab Clin Med,1991

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