Toward Reliable Lipoprotein Particle Predictions from NMR Spectra of Human Blood: An Interlaboratory Ring Test

Research output: Contribution to journalArticle

Abstract

Lipoprotein profiling of human blood by 1H nuclear magnetic resonance (NMR) spectroscopy is a rapid and promising approach to monitor health and disease states in medicine and nutrition. However, lack of standardization of measurement protocols has prevented the use of NMR-based lipoprotein profiling in metastudies. In this study, a standardized NMR measurement protocol was applied in a ring test performed across three different laboratories in Europe on plasma and serum samples from 28 individuals. Data was evaluated in terms of (i) spectral differences, (ii) differences in LPD predictions obtained using an existing prediction model, and (iii) agreement of predictions with cholesterol concentrations in high- and low-density lipoproteins (HDL and LDL) particles measured by standardized clinical assays. ANOVA-simultaneous component analysis (ASCA) of the ring test spectral ensemble that contains methylene and methyl peaks (1.4-0.6 ppm) showed that 97.99% of the variance in the data is related to subject, 1.62% to sample type (serum or plasma), and 0.39% to laboratory. This interlaboratory variation is in fact smaller than the maximum acceptable intralaboratory variation on quality control samples. It is also shown that the reproducibility between laboratories is good enough for the LPD predictions to be exchangeable when the standardized NMR measurement protocol is followed. With the successful implementation of this protocol, which results in reproducible prediction of lipoprotein distributions across laboratories, a step is taken toward bringing NMR more into scope of prognostic and diagnostic biomarkers, reducing the need for less efficient methods such as ultracentrifugation or high-performance liquid chromatography (HPLC).

Details

Authors
  • Sandra Monsonis Centelles
  • Huub C.J. Hoefsloot
  • Bekzod Khakimov
  • Parvaneh Ebrahimi
  • Mads V. Lind
  • Mette Kristensen
  • Niels De Roo
  • Doris M. Jacobs
  • John Van Duynhoven
  • Claire Cannet
  • Fang Fang
  • Eberhard Humpfer
  • Hartmut Schäfer
  • Manfred Spraul
  • Søren B. Engelsen
  • Age K. Smilde
External organisations
  • University of Copenhagen
Original languageEnglish
Pages (from-to)8004-8012
JournalAnalytical Chemistry
Volume89
Issue number15
Publication statusPublished - 2017 Aug 1
Publication categoryResearch
Peer-reviewedYes
Externally publishedYes