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Is non-high-density lipoprotein associated with metabolic syndrome? A systematic review and meta-analysis
INTRODUCTION: Novel atherogenic lipid indices, including non-high-density lipoprotein cholesterol (non-HDL-C) which is calculated by subtracting the HDL-C value from the total cholesterol level, atherogenic index (ratio between triglycerides (TG) and HDL-C concentrations (TG/HDL-C)), and Diff-C (cal...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514792/ https://www.ncbi.nlm.nih.gov/pubmed/36176470 http://dx.doi.org/10.3389/fendo.2022.957136 |
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author | Mardi, Parham Abdi, Fatemeh Ehsani, Amir Seif, Ehsan Djalalinia, Shirin Heshmati, Javad Shahrestanaki, Ehsan Gorabi, Armita Mahdavi Qorbani, Mostafa |
author_facet | Mardi, Parham Abdi, Fatemeh Ehsani, Amir Seif, Ehsan Djalalinia, Shirin Heshmati, Javad Shahrestanaki, Ehsan Gorabi, Armita Mahdavi Qorbani, Mostafa |
author_sort | Mardi, Parham |
collection | PubMed |
description | INTRODUCTION: Novel atherogenic lipid indices, including non-high-density lipoprotein cholesterol (non-HDL-C) which is calculated by subtracting the HDL-C value from the total cholesterol level, atherogenic index (ratio between triglycerides (TG) and HDL-C concentrations (TG/HDL-C)), and Diff-C (calculated by subtracting low-density lipoprotein (LDL-C) from non-HDL-C), have been known as valuable predictors of dyslipidemia and subsequent cardiovascular diseases. Previous studies have reported the potential association of novel atherogenic lipid indices with metabolic syndrome (MetS). This meta-analysis aimed to assess the pooled association of novel atherogenic lipid indices with MetS or its components. METHODS: A systematic search was conducted through PubMed, Scopus, and Web of Science (WoS) databases from January 2000 until March 2021 to evaluate the association of novel atherogenic lipid indices, including non-HDL-C, atherogenic index, and the difference between non-HDL-C and LDL-C (Diff-C) with MetS. Observational studies were included without any language restriction. As exclusive studies evaluating the association of non-HDL-C with metabolic syndrome (MetS) were eligible to be included in quantitative analyses, a random-effect meta-analysis was performed to pool the odds ratios (ORs). A stratified meta-analysis was performed based on the definition of MetS [Adult Treatment Panel (ATP) and International Diabetes Federation (IDF)] and the studied population. RESULTS: Overall, 318 studies were retrieved from an initial systematic search. After screening, 18 and five studies were included in the qualitative and quantitative syntheses, respectively. Qualitative synthesis revealed an association between non-HDL-C, Diff-C, and atherogenic index with MetS and its components. Stratified meta-analysis showed that an increased non-HDL-C level was associated with an increased odds of MetS based on ATP criteria (OR: 3.77, 95% CI: 2.14-5.39) and IDF criteria (OR: 2.71, 95% CI: 1.98-3.44) in adults (OR: 3.53, 95% CI: 2.29-4.78) and in children (OR: 2.27, 95% CI: 1.65-2.90). CONCLUSION: Novel atherogenic lipid indices, including atherogenic index, Diff-c, and non-HDL-C, are strongly associated with increased odds of MetS and its components. The indices could be considered as potential predictors of MetS and its components in clinical practice. |
format | Online Article Text |
id | pubmed-9514792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95147922022-09-28 Is non-high-density lipoprotein associated with metabolic syndrome? A systematic review and meta-analysis Mardi, Parham Abdi, Fatemeh Ehsani, Amir Seif, Ehsan Djalalinia, Shirin Heshmati, Javad Shahrestanaki, Ehsan Gorabi, Armita Mahdavi Qorbani, Mostafa Front Endocrinol (Lausanne) Endocrinology INTRODUCTION: Novel atherogenic lipid indices, including non-high-density lipoprotein cholesterol (non-HDL-C) which is calculated by subtracting the HDL-C value from the total cholesterol level, atherogenic index (ratio between triglycerides (TG) and HDL-C concentrations (TG/HDL-C)), and Diff-C (calculated by subtracting low-density lipoprotein (LDL-C) from non-HDL-C), have been known as valuable predictors of dyslipidemia and subsequent cardiovascular diseases. Previous studies have reported the potential association of novel atherogenic lipid indices with metabolic syndrome (MetS). This meta-analysis aimed to assess the pooled association of novel atherogenic lipid indices with MetS or its components. METHODS: A systematic search was conducted through PubMed, Scopus, and Web of Science (WoS) databases from January 2000 until March 2021 to evaluate the association of novel atherogenic lipid indices, including non-HDL-C, atherogenic index, and the difference between non-HDL-C and LDL-C (Diff-C) with MetS. Observational studies were included without any language restriction. As exclusive studies evaluating the association of non-HDL-C with metabolic syndrome (MetS) were eligible to be included in quantitative analyses, a random-effect meta-analysis was performed to pool the odds ratios (ORs). A stratified meta-analysis was performed based on the definition of MetS [Adult Treatment Panel (ATP) and International Diabetes Federation (IDF)] and the studied population. RESULTS: Overall, 318 studies were retrieved from an initial systematic search. After screening, 18 and five studies were included in the qualitative and quantitative syntheses, respectively. Qualitative synthesis revealed an association between non-HDL-C, Diff-C, and atherogenic index with MetS and its components. Stratified meta-analysis showed that an increased non-HDL-C level was associated with an increased odds of MetS based on ATP criteria (OR: 3.77, 95% CI: 2.14-5.39) and IDF criteria (OR: 2.71, 95% CI: 1.98-3.44) in adults (OR: 3.53, 95% CI: 2.29-4.78) and in children (OR: 2.27, 95% CI: 1.65-2.90). CONCLUSION: Novel atherogenic lipid indices, including atherogenic index, Diff-c, and non-HDL-C, are strongly associated with increased odds of MetS and its components. The indices could be considered as potential predictors of MetS and its components in clinical practice. Frontiers Media S.A. 2022-09-13 /pmc/articles/PMC9514792/ /pubmed/36176470 http://dx.doi.org/10.3389/fendo.2022.957136 Text en Copyright © 2022 Mardi, Abdi, Ehsani, Seif, Djalalinia, Heshmati, Shahrestanaki, Gorabi and Qorbani https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Mardi, Parham Abdi, Fatemeh Ehsani, Amir Seif, Ehsan Djalalinia, Shirin Heshmati, Javad Shahrestanaki, Ehsan Gorabi, Armita Mahdavi Qorbani, Mostafa Is non-high-density lipoprotein associated with metabolic syndrome? A systematic review and meta-analysis |
title | Is non-high-density lipoprotein associated with metabolic syndrome? A systematic review and meta-analysis |
title_full | Is non-high-density lipoprotein associated with metabolic syndrome? A systematic review and meta-analysis |
title_fullStr | Is non-high-density lipoprotein associated with metabolic syndrome? A systematic review and meta-analysis |
title_full_unstemmed | Is non-high-density lipoprotein associated with metabolic syndrome? A systematic review and meta-analysis |
title_short | Is non-high-density lipoprotein associated with metabolic syndrome? A systematic review and meta-analysis |
title_sort | is non-high-density lipoprotein associated with metabolic syndrome? a systematic review and meta-analysis |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514792/ https://www.ncbi.nlm.nih.gov/pubmed/36176470 http://dx.doi.org/10.3389/fendo.2022.957136 |
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