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Postprandial Lipid Concentrations and Daytime Biological Variation of Lipids in a Healthy Chinese Population

BACKGROUND: Several latest guidelines and consensus statements from Europe and the United States specify that there is no need for fasting prior to routine lipid tests. However, the latest Chinese guidelines still recommend fasting tests owing to a lack of local evidence. This study aimed to investi...

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Autores principales: Yang, Dagan, Cai, Qian, Qi, Xinglun, Zhou, Yunxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Laboratory Medicine 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5973917/
https://www.ncbi.nlm.nih.gov/pubmed/29797813
http://dx.doi.org/10.3343/alm.2018.38.5.431
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author Yang, Dagan
Cai, Qian
Qi, Xinglun
Zhou, Yunxian
author_facet Yang, Dagan
Cai, Qian
Qi, Xinglun
Zhou, Yunxian
author_sort Yang, Dagan
collection PubMed
description BACKGROUND: Several latest guidelines and consensus statements from Europe and the United States specify that there is no need for fasting prior to routine lipid tests. However, the latest Chinese guidelines still recommend fasting tests owing to a lack of local evidence. This study aimed to investigate postprandial lipid concentrations and daytime biological variation of lipids in a healthy Chinese population. METHODS: Venous blood samples were collected from 41 ostensibly healthy Chinese volunteers at five time points during the day (06:30, 09:00, 12:00, 15:00, and 18:30). The same batch of reagents was used to determine lipid concentrations. A nested ANOVA was performed to calculate within-subject biological variation (CV(I)) and between-subject biological variation (CV(G)). RESULTS: Postprandial concentrations of triglyceride were higher than fasting concentrations, with the maximum change occurring at 12:00 (0.5 hours after lunch, 0.21±0.65 mmol/L difference). The daytime biological variation of triglycerides was relatively high (CV(I)=25%, CV(G)=35.9%). The postprandial concentrations of total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, apolipoprotein A1, and apolipoprotein B were mostly lower than the fasting concentrations, and their daytime biological variations were relatively low (CV(I)=2.4–4.4%, CV(G)=11.8–18.7%). CONCLUSIONS: As most daytime lipid concentrations changed only slightly, non-fasting samples could be used for routine lipid tests. However, in cases of abnormal postprandial triglyceride concentrations, dietary factors and fasting time should be considered when interpreting the results.
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spelling pubmed-59739172018-09-01 Postprandial Lipid Concentrations and Daytime Biological Variation of Lipids in a Healthy Chinese Population Yang, Dagan Cai, Qian Qi, Xinglun Zhou, Yunxian Ann Lab Med Original Article BACKGROUND: Several latest guidelines and consensus statements from Europe and the United States specify that there is no need for fasting prior to routine lipid tests. However, the latest Chinese guidelines still recommend fasting tests owing to a lack of local evidence. This study aimed to investigate postprandial lipid concentrations and daytime biological variation of lipids in a healthy Chinese population. METHODS: Venous blood samples were collected from 41 ostensibly healthy Chinese volunteers at five time points during the day (06:30, 09:00, 12:00, 15:00, and 18:30). The same batch of reagents was used to determine lipid concentrations. A nested ANOVA was performed to calculate within-subject biological variation (CV(I)) and between-subject biological variation (CV(G)). RESULTS: Postprandial concentrations of triglyceride were higher than fasting concentrations, with the maximum change occurring at 12:00 (0.5 hours after lunch, 0.21±0.65 mmol/L difference). The daytime biological variation of triglycerides was relatively high (CV(I)=25%, CV(G)=35.9%). The postprandial concentrations of total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, apolipoprotein A1, and apolipoprotein B were mostly lower than the fasting concentrations, and their daytime biological variations were relatively low (CV(I)=2.4–4.4%, CV(G)=11.8–18.7%). CONCLUSIONS: As most daytime lipid concentrations changed only slightly, non-fasting samples could be used for routine lipid tests. However, in cases of abnormal postprandial triglyceride concentrations, dietary factors and fasting time should be considered when interpreting the results. The Korean Society for Laboratory Medicine 2018-09 2018-05-23 /pmc/articles/PMC5973917/ /pubmed/29797813 http://dx.doi.org/10.3343/alm.2018.38.5.431 Text en © The Korean Society for Laboratory Medicine http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Yang, Dagan
Cai, Qian
Qi, Xinglun
Zhou, Yunxian
Postprandial Lipid Concentrations and Daytime Biological Variation of Lipids in a Healthy Chinese Population
title Postprandial Lipid Concentrations and Daytime Biological Variation of Lipids in a Healthy Chinese Population
title_full Postprandial Lipid Concentrations and Daytime Biological Variation of Lipids in a Healthy Chinese Population
title_fullStr Postprandial Lipid Concentrations and Daytime Biological Variation of Lipids in a Healthy Chinese Population
title_full_unstemmed Postprandial Lipid Concentrations and Daytime Biological Variation of Lipids in a Healthy Chinese Population
title_short Postprandial Lipid Concentrations and Daytime Biological Variation of Lipids in a Healthy Chinese Population
title_sort postprandial lipid concentrations and daytime biological variation of lipids in a healthy chinese population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5973917/
https://www.ncbi.nlm.nih.gov/pubmed/29797813
http://dx.doi.org/10.3343/alm.2018.38.5.431
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