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Predominance of small dense LDL differentiates metabolically unhealthy from metabolically healthy overweight adults in Korea

Authors
 Sue Kim  ;  Hyangkyu Lee  ;  Duk-Chul Lee  ;  Hye-Sun Lee  ;  Ji-Won Lee 
Citation
 Metabolism: Clinical and Experimental, Vol.63(3) : 415-421, 2014 
Journal Title
 Metabolism: Clinical and Experimental 
ISSN
 0026-0495 
Issue Date
2014
MeSH
Adiposity/physiology ; Adult ; Body Mass Index ; Cross-Sectional Studies ; Female ; Humans ; Intra-Abdominal Fat/metabolism ; Korea ; Lipoproteins/metabolism ; Lipoproteins, LDL/blood* ; Male ; Middle Aged ; Obesity/blood ; Obesity/metabolism* ; Overweight/blood* ; Overweight/metabolism*
Keywords
Lipoprotein subfraction ; Overweight ; Small dense low-density lipoprotein (LDL) ; Visceral to subcutaneous adipose tissue ratio (VAT/SAT ratio)
Abstract
OBJECTIVE: The purposes of this study were (1) to determine the association between lipoprotein subfraction profiles and metabolically healthy overweight (MHO) phenotype, as defined by visceral adiposity; and (2) to identify the strongest predictor of metabolic health among the lipoprotein measurements. MATERIALS/METHODS: This cross-sectional study was comprised of 462 overweight patients, who were classified as MHO or non-MHO based on their visceral adipose tissue (VAT) area to subcutaneous adipose tissue area (SAT) ratio (VAT/SAT ratio). Serum lipoprotein subfraction analyses and other metabolic parameters were measured. RESULTS: Among the overweight participants, two hundred fifty-five individuals (53.7%) had the MHO phenotype. After adjusting for age, sex, medication, lifestyle factors, and confounding metabolic characteristics, the non-MHO group showed significantly higher lipid levels and a greater prevalence of unfavorable lipid profiles. LDL subclass pattern type B was the most significant predictor of the non-MHO phenotype (odds ratio 2.70; 95% CI 1.55-4.69), while serum LDL cholesterol level was not a significant predictor of the non-MHO phenotype. CONCLUSIONS: Lipoprotein subfraction particle measurements were significantly associated with the non-MHO phenotype and a higher VAT/SAT ratio, with small dense LDL predominance being the most significant predictor of MHO phenotype. These findings will help identify MHO and non-MHO phenotypes and perhaps lead to a development of cost-effective individualized treatments.
Full Text
http://www.sciencedirect.com/science/article/pii/S0026049513003983
DOI
10.1016/j.metabol.2013.11.015
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Family Medicine (가정의학교실) > 1. Journal Papers
3. College of Nursing (간호대학) > Dept. of Nursing (간호학과) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
Yonsei Authors
Kim, Sue(김수)
Lee, Duk Chul(이덕철) ORCID logo https://orcid.org/0000-0001-9166-1813
Lee, Ji Won(이지원) ORCID logo https://orcid.org/0000-0002-2666-4249
Lee, Hyang Kyu(이향규) ORCID logo https://orcid.org/0000-0002-0821-6020
Lee, Hye Sun(이혜선) ORCID logo https://orcid.org/0000-0001-6328-6948
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/98108
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