Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/19675
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBERVOETS, Liene-
dc.contributor.authorLOUIS, Evelyne-
dc.contributor.authorREEKMANS, Gunter-
dc.contributor.authorMESOTTEN, Liesbet-
dc.contributor.authorTHOMEER, Michiel-
dc.contributor.authorADRIAENSENS, Peter-
dc.contributor.authorLINSEN, Loes-
dc.date.accessioned2015-10-06T13:06:13Z-
dc.date.available2015-10-06T13:06:13Z-
dc.date.issued2015-
dc.identifier.citationMETABOLOMICS, 11 (5), p. 1197-1207-
dc.identifier.issn1573-3882-
dc.identifier.urihttp://hdl.handle.net/1942/19675-
dc.description.abstractVariations in sample collection, processing and storage within the field of clinical metabolomics might hamper its effective implementation. In this study, the impact of relevant preanalytical conditions on the plasma H-1 NMR metabolic profile was examined. The biobanking community recently developed a method for coding preanalytical conditions called the Standard PREanalytical Code (SPREC). It is envisaged that SPREC will ultimately identify which samples are fit for a particular analysis, based on prior validation by a panel of experts in the respective field. In an effort to validate SPREC for H-1 NMR plasma metabolomics, we have coded the conditions used here, when possible, according to SPREC and evaluated its power to identify preanalytical conditions that affect the plasma H-1 NMR metabolic profile. From all preanalytical conditions studied, only prolonged processing delays (3 and 8 h) have a significant impact on the plasma H-1 NMR metabolic profile as compared to the reference condition (30 min). Principal component analysis shows a clear systematic shift as a function of increasing processing delay. Nevertheless, the inter-individual variation is clearly much larger than this preanalytical variation, indicating that the impact on multivariate group classification will be minimal. Nonetheless, we recommend to keep the time gap between blood collection and centrifugation similar for all samples within a study. The implementation of SPREC within clinical metabolomics allows for an appropriate sample encoding and exclusion of samples that were subjected to unwanted, interfering preanalytical conditions. Without doubt, it will contribute to the validation of H-1 NMR metabolomics in clinical, biobank and multicenter research settings.-
dc.description.sponsorshipThis study is part of the 'Limburg Clinical Research Program (LCRP) UHasselt-ZOL-Jessa', supported by the foundation Limburg Sterk Merk, province of Limburg, Flemish government, Hasselt University, Ziekenhuis Oost-Limburg and Jessa Hospital. We thank the Research Foundation Flanders for supporting via the MULTIMAR project. We thank Bogaers A., Pousset V., Rutten I., Penders J. and Reynders C. for their assistance.-
dc.language.isoen-
dc.publisherSPRINGER-
dc.rights© Springer Science+Business Media New York 2015-
dc.subject.otherH-1 NMR spectroscopy; Biomedical research; Plasma; Preanalytical conditions; Standard PREanalytical Code; Biobanking-
dc.subject.other1H NMR spectroscopy; biomedical research; plasma; preanalytical conditions; standard PREanalytical code; biobanking-
dc.titleInfluence of preanalytical sampling conditions on the 1 H NMR metabolic profile of human blood plasma and introduction of the Standard PREanalytical Code used in biobanking-
dc.typeJournal Contribution-
dc.identifier.epage1207-
dc.identifier.issue5-
dc.identifier.spage1197-
dc.identifier.volume11-
local.format.pages11-
local.bibliographicCitation.jcatA1-
dc.description.notes[Bervoets, Liene; Louis, Evelyne; Mesotten, Liesbet; Thomeer, Michiel; Linsen, Loes] Hasselt Univ, Fac Med & Life Sci, B-3500 Hasselt, Belgium. [Reekmans, Gunter; Adriaensens, Peter] Hasselt Univ, Inst Mat Res, B-3500 Hasselt, Belgium. [Mesotten, Liesbet] Ziekenhuis Oost Limburg, Dept Nucl Med, B-3600 Genk, Belgium. [Thomeer, Michiel] Ziekenhuis Oost Limburg, Dept Resp Med, B-3600 Genk, Belgium. [Linsen, Loes] Univ Biobank Limburg, Jessa Hosp, Lab Expt Hematol, B-3500 Hasselt, Belgium.-
local.publisher.placeNEW YORK-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1007/s11306-015-0774-y-
dc.identifier.isi000360715300016-
item.contributorBERVOETS, Liene-
item.contributorLOUIS, Evelyne-
item.contributorREEKMANS, Gunter-
item.contributorMESOTTEN, Liesbet-
item.contributorTHOMEER, Michiel-
item.contributorADRIAENSENS, Peter-
item.contributorLINSEN, Loes-
item.fullcitationBERVOETS, Liene; LOUIS, Evelyne; REEKMANS, Gunter; MESOTTEN, Liesbet; THOMEER, Michiel; ADRIAENSENS, Peter & LINSEN, Loes (2015) Influence of preanalytical sampling conditions on the 1 H NMR metabolic profile of human blood plasma and introduction of the Standard PREanalytical Code used in biobanking. In: METABOLOMICS, 11 (5), p. 1197-1207.-
item.accessRightsRestricted Access-
item.fulltextWith Fulltext-
item.validationecoom 2016-
crisitem.journal.issn1573-3882-
crisitem.journal.eissn1573-3890-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
art%3A10.1007%2Fs11306-015-0774-y.pdf
  Restricted Access
Published version1.32 MBAdobe PDFView/Open    Request a copy
Show simple item record

SCOPUSTM   
Citations

17
checked on Sep 7, 2020

WEB OF SCIENCETM
Citations

26
checked on Apr 30, 2024

Page view(s)

56
checked on Jun 14, 2022

Download(s)

40
checked on Jun 14, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.