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.
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Authors | Sue Kim, Hyangkyu Lee, Duk-Chul Lee, Hye-Sun Lee, Ji-Won Lee |
Journal | Metabolism: clinical and experimental
(Metabolism)
Vol. 63
Issue 3
Pg. 415-21
(Mar 2014)
ISSN: 1532-8600 [Electronic] United States |
PMID | 24369917
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Copyright | Copyright © 2014 Elsevier Inc. All rights reserved. |
Chemical References |
- Lipoproteins
- Lipoproteins, LDL
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Topics |
- 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, metabolism)
- Overweight
(blood, metabolism)
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