Literature DB >> 30211542

Quantitative Lipoprotein Subclass and Low Molecular Weight Metabolite Analysis in Human Serum and Plasma by 1H NMR Spectroscopy in a Multilaboratory Trial.

Beatriz Jiménez1, Elaine Holmes, Clement Heude2, Rose F Tolson, Nikita Harvey, Samantha L Lodge1, Andrew J Chetwynd2, Claire Cannet3, Fang Fang3, Jake T M Pearce1, Matthew R Lewis1, Mark R Viant2, John C Lindon, Manfred Spraul3, Hartmut Schäfer3, Jeremy K Nicholson1.   

Abstract

We report an extensive 600 MHz NMR trial of quantitative lipoprotein and small-molecule measurements in human blood serum and plasma. Five centers with eleven 600 MHz NMR spectrometers were used to analyze 98 samples including 20 quality controls (QCs), 37 commercially sourced, paired serum and plasma samples, and two National Institute of Science and Technology (NIST) reference material 1951c replicates. Samples were analyzed using rigorous protocols for sample preparation and experimental acquisition. A commercial lipoprotein subclass analysis was used to quantify 105 lipoprotein subclasses and 24 low molecular weight metabolites from the NMR spectra. For all spectrometers, the instrument specific variance in measuring internal QCs was lower than the percentage described by the National Cholesterol Education Program (NCEP) criteria for lipid testing [triglycerides <2.7%; cholesterol <2.8%; low-density lipoprotein (LDL) cholesterol <2.8%; high-density lipoprotein (HDL) cholesterol <2.3%], showing exceptional reproducibility for direct quantitation of lipoproteins in both matrixes. The average relative standard deviations (RSDs) for the 105 lipoprotein parameters in the 11 instruments were 4.6% and 3.9% for the two NIST samples, whereas they were 38% and 40% for the 37 commercially sourced plasmas and sera, respectively, showing negligible analytical compared to biological variation. The coefficient of variance (CV) obtained for the quantification of the small molecules across the 11 spectrometers was below 15% for 20 out of the 24 metabolites analyzed. This study provides further evidence of the suitability of NMR for high-throughput lipoprotein subcomponent analysis and small-molecule quantitation with the exceptional required reproducibility for clinical and other regulatory settings.

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Year:  2018        PMID: 30211542     DOI: 10.1021/acs.analchem.8b02412

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  55 in total

1.  Lipoprotein and metabolite associations to breast cancer risk in the HUNT2 study.

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2.  Statistical analysis in metabolic phenotyping.

Authors:  Benjamin J Blaise; Gonçalo D S Correia; Gordon A Haggart; Izabella Surowiec; Caroline Sands; Matthew R Lewis; Jake T M Pearce; Johan Trygg; Jeremy K Nicholson; Elaine Holmes; Timothy M D Ebbels
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3.  The plasma metabolome of Atlantic salmon as studied by 1H NMR spectroscopy using standard operating procedures: effect of aquaculture location and growth stage.

Authors:  Violetta Aru; Bekzod Khakimov; Klavs Martin Sørensen; Elvis Mashingaidze Chikwati; Trond M Kortner; Paul Midtlyng; Åshild Krogdahl; Søren Balling Engelsen
Journal:  Metabolomics       Date:  2021-05-17       Impact factor: 4.290

4.  Evaluation of Fumaric Acid and Maleic Acid as Internal Standards for NMR Analysis of Protein Precipitated Plasma, Serum, and Whole Blood.

Authors:  G A Nagana Gowda; Natalie N Hong; Daniel Raftery
Journal:  Anal Chem       Date:  2021-02-04       Impact factor: 6.986

5.  Integrated metabolomic analysis and cytokine profiling define clusters of immuno-metabolic correlation in new-onset psoriasis.

Authors:  Elisabetta Tarentini; Giulia Odorici; Valeria Righi; Alessia Paganelli; Luca Giacomelli; Valentina Mirisola; Adele Mucci; Luisa Benassi; Elisabetta D'Aversa; Claudia Lasagni; Shaniko Kaleci; Eva Reali; Cristina Magnoni
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Review 6.  Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer.

Authors:  Alessia Vignoli; Emanuela Risi; Amelia McCartney; Ilenia Migliaccio; Erica Moretti; Luca Malorni; Claudio Luchinat; Laura Biganzoli; Leonardo Tenori
Journal:  Int J Mol Sci       Date:  2021-04-28       Impact factor: 5.923

7.  Inducible phospholipid transfer protein deficiency ameliorates atherosclerosis.

Authors:  Ke Zhang; Jiao Zheng; Yunqin Chen; Jibin Dong; Zhiqiang Li; Yeun-Po Chiang; Mulin He; Qingxia Huang; Huiru Tang; Xian-Cheng Jiang
Journal:  Atherosclerosis       Date:  2021-03-13       Impact factor: 6.847

8.  Exploration of Blood Lipoprotein and Lipid Fraction Profiles in Healthy Subjects through Integrated Univariate, Multivariate, and Network Analysis Reveals Association of Lipase Activity and Cholesterol Esterification with Sex and Age.

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Journal:  Metabolites       Date:  2021-05-18

9.  SMolESY: an efficient and quantitative alternative to on-instrument macromolecular 1H-NMR signal suppression.

Authors:  Panteleimon G Takis; Beatriz Jiménez; Caroline J Sands; Elena Chekmeneva; Matthew R Lewis
Journal:  Chem Sci       Date:  2020-05-27       Impact factor: 9.825

10.  Metabolomic signatures associated with depression and predictors of antidepressant response in humans: A CAN-BIND-1 report.

Authors:  Giorgia Caspani; Gustavo Turecki; Raymond W Lam; Roumen V Milev; Benicio N Frey; Glenda M MacQueen; Daniel J Müller; Susan Rotzinger; Sidney H Kennedy; Jane A Foster; Jonathan R Swann
Journal:  Commun Biol       Date:  2021-07-22
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