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Haid, M. ; Muschet, C. ; Wahl, S. ; Römisch-Margl, W. ; Prehn, C. ; Möller, G. ; Adamski, J.

Long-Term Stability of Human Plasma Metabolites during Storage at-80 degrees C.

J. Proteome Res. 17, 203-211 (2018)
Postprint DOI
Open Access Green
Prolonged storage of biospecimen can lead to artificially altered metabolite concentrations and thus bias data analysis in metabolomics experiments. To elucidate the potential impact of long-term storage on the metabolite profile, a pooled human plasma sample was aliquoted and stored at 80 degrees C. During a time period of five years, 1012 of the aliquots were measured with the Biocrates AbsoluteIDQ p180 targeted-metabolomics assay at 193 time points. Modeling the concentration courses over time revealed that 55 out of 111 metabolites remained stable. The statistically significantly changed metabolites showed on average an increase or decrease of +13.7% or -14.5%, respectively. In detail, increased concentration levels were observed for amino acids (mean: +15.4%), the sum of hexoses (+7.9%), butyrylcarnitine (+9.4%), and some phospholipids mostly with chain lengths exceeding 40 carbon atoms (mean: +18.0%). Lipids tended to exhibit decreased concentration levels with the following mean concentration changes: acylcarnitines, -12.1%; lysophosphatidylcholines, -15.1%; diacyl-phosphatidylcholines, -17.0%; acyl-alkyl-phosphatidylcholines, -13.3%; sphingomye-lins, -14.8%. We conclude that storage of plasma samples at -80 degrees C for up to five years can lead to altered concentration levels of amino acids, acylcarnitines, glycerophospholipids, sphingomyelins, and the sum of hexoses. These alterations must be considered when analyzing metabolomics data from long-term epidemiological studies.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Biobanking ; Metabolomics ; Long-term Stability ; Human Plasma ; Storage ; Mass Spectrometry; Polyunsaturated Fatty-acids; Tandem Mass-spectrometry; Preanalytical Variations; Targeted Metabolomics; Biomarker Discovery; Enzyme-activity; Blood-samples; Ice; Impact; Cancer
Sprache englisch
Veröffentlichungsjahr 2018
Prepublished im Jahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 1535-3893
e-ISSN 1535-3907
Zeitschrift Journal of Proteome Research
Quellenangaben Band: 17, Heft: 1, Seiten: 203-211 Artikelnummer: , Supplement: ,
Verlag American Chemical Society (ACS)
Verlagsort Washington
Begutachtungsstatus Peer reviewed
Institut(e) Molekulare Endokrinologie und Metabolismus (MEM)
CF Metabolomics & Proteomics (CF-MPC)
Institute of Epidemiology (EPI)
Institute of Computational Biology (ICB)
Institute of Diabetes and Cancer (IDC)
Institute of Bioinformatics and Systems Biology (IBIS)
POF Topic(s) 30201 - Metabolic Health
30505 - New Technologies for Biomedical Discoveries
30202 - Environmental Health
30205 - Bioengineering and Digital Health
90000 - German Center for Diabetes Research
Forschungsfeld(er) Genetics and Epidemiology
Enabling and Novel Technologies
Helmholtz Diabetes Center
PSP-Element(e) G-505600-003
A-630710-001
G-505600-001
G-504091-001
G-503891-001
G-502594-001
G-501900-402
G-503700-001
G-504091-002
DOI 10.1021/acs.jproteome.7b00518
WOS ID WOS:000419749800019
Scopus ID 85040195411
Erfassungsdatum 2017-11-08
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