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KMID : 1150720170060020165
Integrative Medicine Research
2017 Volume.6 No. 2 p.165 ~ p.178
Energy metabolism and whole-exome sequencing-based analysis of Sasang constitution: a pilot study
Kim Hyoung-Kyu

Lee Hee-Tak
So Ji-Ho
Jeong Seung-Hun
Seo Dae-Yun
Kim Jong-Yeol
Kim Sang-Uk
Han Jin
Abstract
Background: Traditional Korean Sasang constitutional (SC) medicine categorizes individuals into four constitutional types [Tae-eum (TE), So-eum (SE), Tae-yang (TY), or So-yang (SY)] based on biological and physiological characteristics. As these characteristics are closely related to the bioenergetics of the human body, we assessed the correlation between SC type and energy metabolism features.

Methods: Forty healthy, young (22.3 ¡¾ 1.4 years) males volunteered to participate in this study. Participants answered an SC questionnaire, and their face shape, voice tone, and body shape were assessed using an SC analysis tool. Thirty-one participants (10 TE, 10 SE, 3 TY, and 8 SY) were selected for further analysis. Collected blood samples were subjected to blood composition analysis, mitochondrial function analysis, and whole-exome sequencing.

Results: The SY type showed significantly lower total cholesterol and high-density lipoprotein cholesterol levels than the SE type. Cellular and mitochondrial Adenosine triphosphate (ATP) levels were similar across types. All types showed similar basal mitochondrial oxygen consumption rates, whereas the TE type showed a significantly lower ATP-linked oxygen consumption rate than the other types. Whole-exome sequencing identified several genes variants that were exclusively detected in particular SC types, including 19 for SE, seven for SY, 11 for TE, and six for TY.

Conclusion: SC type-specific differences in mitochondrial function and gene mutations were detected in a small group of healthy, young Korean males. These results are expected to greatly improve the accurate screening and utilization of SC medicine.
KEYWORD
energy metabolism, mitochondria, Sasang constitutional medicine, whole-exome sequencing
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