The role of adiposity, diet and inflammation on the discordance between LDL-C and apolipoprotein B.
Adiposity
Apolipoprotein B
Inflammation
Low-density lipoprotein cholesterol
Nutrition
Journal
Nutrition, metabolism, and cardiovascular diseases : NMCD
ISSN: 1590-3729
Titre abrégé: Nutr Metab Cardiovasc Dis
Pays: Netherlands
ID NLM: 9111474
Informations de publication
Date de publication:
03 2022
03 2022
Historique:
received:
04
06
2021
revised:
21
10
2021
accepted:
03
12
2021
pubmed:
7
2
2022
medline:
11
3
2022
entrez:
6
2
2022
Statut:
ppublish
Résumé
While low-density lipoprotein cholesterol (LDL-C) is a good predictor of atherosclerotic cardiovascular disease, apolipoprotein B (ApoB) is superior when the two markers are discordant. We aimed to determine the impact of adiposity, diet and inflammation upon ApoB and LDL-C discordance. Machine learning (ML) and structural equation models (SEMs) were applied to the National Health and Nutrition Examination Survey to investigate cardiometabolic and dietary factors when LDL-C and ApoB are concordant/discordant. Mendelian randomisation (MR) determined whether adiposity and inflammation exposures were causal of elevated/decreased LDL-C and/or ApoB. ML showed body mass index (BMI), dietary saturated fatty acids (SFA), dietary fibre, serum C-reactive protein (CRP) and uric acid were the most strongly associated variables (R Our data show increased discordance between ApoB and LDL-C is associated with cardiometabolic, clinical and dietary abnormalities and that body fat percentage is causal of elevated ApoB.
Sections du résumé
BACKGROUND AND AIMS
While low-density lipoprotein cholesterol (LDL-C) is a good predictor of atherosclerotic cardiovascular disease, apolipoprotein B (ApoB) is superior when the two markers are discordant. We aimed to determine the impact of adiposity, diet and inflammation upon ApoB and LDL-C discordance.
METHODS AND RESULTS
Machine learning (ML) and structural equation models (SEMs) were applied to the National Health and Nutrition Examination Survey to investigate cardiometabolic and dietary factors when LDL-C and ApoB are concordant/discordant. Mendelian randomisation (MR) determined whether adiposity and inflammation exposures were causal of elevated/decreased LDL-C and/or ApoB. ML showed body mass index (BMI), dietary saturated fatty acids (SFA), dietary fibre, serum C-reactive protein (CRP) and uric acid were the most strongly associated variables (R
CONCLUSION
Our data show increased discordance between ApoB and LDL-C is associated with cardiometabolic, clinical and dietary abnormalities and that body fat percentage is causal of elevated ApoB.
Identifiants
pubmed: 35123856
pii: S0939-4753(21)00563-9
doi: 10.1016/j.numecd.2021.12.004
pii:
doi:
Substances chimiques
Apolipoprotein B-100
0
Apolipoproteins B
0
Cholesterol, LDL
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
605-615Informations de copyright
Copyright © 2021 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest None declared.