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Metabolism. 2014 Mar;63(3):415-21. doi: 10.1016/j.metabol.2013.11.015. Epub 2013 Nov 28.

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

Author information

1
Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
2
Department of Clinical Nursing Science, Yonsei University College of Nursing, Nursing Policy Research Institute, Biobehavioral Research Center, Seoul, Korea.
3
Biostatistics Collaboration Units, Department of Research Affairs, Yonsei University College of Medicine, Seoul, Korea.
4
Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea. Electronic address: indi5645@yuhs.ac.

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.

KEYWORDS:

Lipoprotein subfraction; Overweight; Small dense low-density lipoprotein (LDL); Visceral to subcutaneous adipose tissue ratio (VAT/SAT ratio)

PMID:
24369917
DOI:
10.1016/j.metabol.2013.11.015
[Indexed for MEDLINE]
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