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Establishing reference intervals for triglyceride-containing lipoprotein subfraction metabolites measured using nuclear magnetic resonance spectroscopy in a UK population.

Joshi, R; Wannamethee, G; Engmann, J; Gaunt, T; Lawlor, DA; Price, J; Papacosta, O; Shah, T; Tillin, T; Whincup, P; et al. Joshi, R; Wannamethee, G; Engmann, J; Gaunt, T; Lawlor, DA; Price, J; Papacosta, O; Shah, T; Tillin, T; Whincup, P; Chaturvedi, N; Kivimaki, M; Kuh, D; Kumari, M; Hughes, AD; Casas, JP; Humphries, SE; Hingorani, AD; Schmidt, AF; UCLEB Consortium (2021) Establishing reference intervals for triglyceride-containing lipoprotein subfraction metabolites measured using nuclear magnetic resonance spectroscopy in a UK population. Ann Clin Biochem, 58 (1). pp. 47-53. ISSN 1758-1001 https://doi.org/10.1177/0004563220961753
SGUL Authors: Whincup, Peter Hynes

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Abstract

BACKGROUND: Nuclear magnetic resonance (NMR) spectroscopy allows triglycerides to be subclassified into 14 different classes based on particle size and lipid content. We recently showed that these subfractions have differential associations with cardiovascular disease events. Here we report the distributions and define reference interval ranges for 14 triglyceride-containing lipoprotein subfraction metabolites. METHODS: Lipoprotein subfractions using the Nightingale NMR platform were measured in 9073 participants from four cohort studies contributing to the UCL-Edinburgh-Bristol consortium. The distribution of each metabolite was assessed, and reference interval ranges were calculated for a disease-free population, by sex and age group (<55, 55-65, >65 years), and in a subgroup population of participants with cardiovascular disease or type 2 diabetes. We also determined the distribution across body mass index and smoking status. RESULTS: The largest reference interval range was observed in the medium very-low density lipoprotein subclass (2.5th 97.5th percentile; 0.08 to 0.68 mmol/L). The reference intervals were comparable among male and female participants, with the exception of triglyceride in high-density lipoprotein. Triglyceride subfraction concentrations in very-low density lipoprotein, intermediate-density lipoprotein, low-density lipoprotein and high-density lipoprotein subclasses increased with increasing age and increasing body mass index. Triglyceride subfraction concentrations were significantly higher in ever smokers compared to never smokers, among those with clinical chemistry measured total triglyceride greater than 1.7 mmol/L, and in those with cardiovascular disease, and type 2 diabetes as compared to disease-free subjects. CONCLUSION: This is the first study to establish reference interval ranges for 14 triglyceride-containing lipoprotein subfractions in samples from the general population measured using the nuclear magnetic resonance platform. The utility of nuclear magnetic resonance lipid measures may lead to greater insights for the role of triglyceride in cardiovascular disease, emphasizing the importance of appropriate reference interval ranges for future clinical decision making.

Item Type: Article
Additional Information: © The Author(s) 2020. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Keywords: Analytes, clinical studies, epidemiology studies, laboratory methods, lipids, nuclear magnetic resonance, UCLEB Consortium, Analytes Lipids, Laboratory methods, Nuclear magnetic resonance, Clinical studies, 1101 Medical Biochemistry and Metabolomics, General Clinical Medicine
SGUL Research Institute / Research Centre: Academic Structure > Population Health Research Institute (INPH)
Journal or Publication Title: Ann Clin Biochem
ISSN: 1758-1001
Language: eng
Dates:
DateEvent
1 January 2021Published
21 October 2020Published Online
16 September 2020Published Online
14 August 2020Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
PG/18/5033837British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
AA/18/6/34223British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
RG/13/16/30528British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
082464/Z/07/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
SP/07/001/23603British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
PG/08/103British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
PG/12/29/29497British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
CS/13/1/30327British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
13/0004774Diabetes UKhttp://dx.doi.org/10.13039/501100000361
K013351Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
R024227Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
S011676Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
PG/11/63/29011British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
RG/13/2/30098British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
R01HL036310National Heart, Lung, and Blood Institutehttp://dx.doi.org/10.13039/100000050
R01AG056477National Institute on Aginghttp://dx.doi.org/10.13039/100000049
R01AG034454National Institute on Aginghttp://dx.doi.org/10.13039/100000049
ES/J023299/1Economic and Social Research Councilhttp://dx.doi.org/10.13039/501100000269
K013351Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
R024227Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
S011676Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
R01AG056477National Institute on Aginghttp://dx.doi.org/10.13039/100000049
311492Academy of FinlandUNSPECIFIED
PubMed ID: 32936666
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/112417
Publisher's version: https://doi.org/10.1177/0004563220961753

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