Cargando…

Remnant cholesterol can identify individuals at higher risk of metabolic syndrome in the general population

Remnant cholesterol (RC) is a highly atherogenic lipid. Previous studies have shown that RC was closely associated with many metabolism-related diseases. However, the relationship of RC with metabolic syndrome (MetS) remains unclear. This study’s objective is to investigate the relationship of RC wi...

Descripción completa

Detalles Bibliográficos
Autores principales: Zou, Yang, Kuang, Maobin, Zhong, Yanjia, Jiang, Chunyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097632/
https://www.ncbi.nlm.nih.gov/pubmed/37045908
http://dx.doi.org/10.1038/s41598-023-33276-y
_version_ 1785024611737403392
author Zou, Yang
Kuang, Maobin
Zhong, Yanjia
Jiang, Chunyuan
author_facet Zou, Yang
Kuang, Maobin
Zhong, Yanjia
Jiang, Chunyuan
author_sort Zou, Yang
collection PubMed
description Remnant cholesterol (RC) is a highly atherogenic lipid. Previous studies have shown that RC was closely associated with many metabolism-related diseases. However, the relationship of RC with metabolic syndrome (MetS) remains unclear. This study’s objective is to investigate the relationship of RC with MetS. A total of 60,799 adults who received health assessments were included in this study. RC was calculated by subtracting the directly measured values for low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) from total cholesterol (TC) and divided into 5 groups according to its quintile. MetS diagnosis according to National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) definitions. Application of receiver operating characteristic (ROC) curve analysis and multivariate logistic regression to assess the association of RC with MetS. In RC quintile groups, the prevalence of MetS was 0.84, 1.10, 1.92, 3.87 and 37.71%, respectively. Multivariate logical regression analysis showed that RC and MetS maintained a stable independent positive correlation between both sexes. An interaction test further showed that the MetS risk associated with RC was significantly higher in women than in men. Moreover, ROC analysis results showed that RC had high accuracy in identifying MetS, especially among young and middle-aged men [(area under the curve: AUC) < 30 years: 0.9572, 30–39 years: 0.9306, 40–49 years: 0.9067]. The current study provided the first evidence of a positive association between RC and MetS, and that this correlation was stronger in women than in man, which may be due to the relative deficiency of estrogen in women.
format Online
Article
Text
id pubmed-10097632
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-100976322023-04-14 Remnant cholesterol can identify individuals at higher risk of metabolic syndrome in the general population Zou, Yang Kuang, Maobin Zhong, Yanjia Jiang, Chunyuan Sci Rep Article Remnant cholesterol (RC) is a highly atherogenic lipid. Previous studies have shown that RC was closely associated with many metabolism-related diseases. However, the relationship of RC with metabolic syndrome (MetS) remains unclear. This study’s objective is to investigate the relationship of RC with MetS. A total of 60,799 adults who received health assessments were included in this study. RC was calculated by subtracting the directly measured values for low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) from total cholesterol (TC) and divided into 5 groups according to its quintile. MetS diagnosis according to National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) definitions. Application of receiver operating characteristic (ROC) curve analysis and multivariate logistic regression to assess the association of RC with MetS. In RC quintile groups, the prevalence of MetS was 0.84, 1.10, 1.92, 3.87 and 37.71%, respectively. Multivariate logical regression analysis showed that RC and MetS maintained a stable independent positive correlation between both sexes. An interaction test further showed that the MetS risk associated with RC was significantly higher in women than in men. Moreover, ROC analysis results showed that RC had high accuracy in identifying MetS, especially among young and middle-aged men [(area under the curve: AUC) < 30 years: 0.9572, 30–39 years: 0.9306, 40–49 years: 0.9067]. The current study provided the first evidence of a positive association between RC and MetS, and that this correlation was stronger in women than in man, which may be due to the relative deficiency of estrogen in women. Nature Publishing Group UK 2023-04-12 /pmc/articles/PMC10097632/ /pubmed/37045908 http://dx.doi.org/10.1038/s41598-023-33276-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zou, Yang
Kuang, Maobin
Zhong, Yanjia
Jiang, Chunyuan
Remnant cholesterol can identify individuals at higher risk of metabolic syndrome in the general population
title Remnant cholesterol can identify individuals at higher risk of metabolic syndrome in the general population
title_full Remnant cholesterol can identify individuals at higher risk of metabolic syndrome in the general population
title_fullStr Remnant cholesterol can identify individuals at higher risk of metabolic syndrome in the general population
title_full_unstemmed Remnant cholesterol can identify individuals at higher risk of metabolic syndrome in the general population
title_short Remnant cholesterol can identify individuals at higher risk of metabolic syndrome in the general population
title_sort remnant cholesterol can identify individuals at higher risk of metabolic syndrome in the general population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097632/
https://www.ncbi.nlm.nih.gov/pubmed/37045908
http://dx.doi.org/10.1038/s41598-023-33276-y
work_keys_str_mv AT zouyang remnantcholesterolcanidentifyindividualsathigherriskofmetabolicsyndromeinthegeneralpopulation
AT kuangmaobin remnantcholesterolcanidentifyindividualsathigherriskofmetabolicsyndromeinthegeneralpopulation
AT zhongyanjia remnantcholesterolcanidentifyindividualsathigherriskofmetabolicsyndromeinthegeneralpopulation
AT jiangchunyuan remnantcholesterolcanidentifyindividualsathigherriskofmetabolicsyndromeinthegeneralpopulation