GNB3 유전자다형에 따른 중년여성의 대사증후군 비교
No Relationship of the GNB3 Gene Polymorphism with the Metabolic Syndrome Markers in Mid-Life Women
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초록
본 연구에서는 GNB3 유전자다형과 폐경유무에 따른 중년여성들의 비만 및 심폐체력 지표 그리고 안정 시 혈압, 혈중지질, 글루코스, 인슐린, 렙틴, 아디포넥틴 등을 포함하는 비만 관련 대사증후군에 미치는 영향을 조사하는 것을 목적으로 하였다. 본 연구의 참여 피검자는 폐경 전 여성 61명과 폐경 후 여성 61명으로 총 122명으로 하였고, 10-12시간 공복상태에서 신체구성변인, 혈액변인, 그리고 트레드밀 운동부하 검사를 이용하여 분당최대산소섭취량을 측정하였다. 유전자다형은 전혈을 이용하여 게놈유전자를 추출한 후, 연쇄중합효소반응과 제한효소 절단 그리고 전기영동을 실시한 후 유전자형은 유전자 절편의 크기를 겔 영상 장치를 이용하여 분석하였다. 총 122명을 대상으로 관찰된 GNB3 유전자다형의 빈도를 이용한 Hardy-Weinberg 평형성을 검정한 결과, 관찰된 GNB3 유전자 형질의 빈도는 기대(예측)빈도와 유의한 차이를 나타내지 않았다. 연령을 보정한 공변량분석을 이용하여 GNB3 유전자형질별에 따른 안정 시 혈압, 비만 및 심폐체력 지표, 혈중지질, 혈당, 인슐린, 렙틴, 그리고 아디포넥틴의 평균을 비교한 결과, GNB3 유전자다형에 따른 이러한 종속변인의 평균치에는 통계적으로 유의한 차이가 없는 것으로 나타났다. 따라서 본 연구의 결과에 의하면, GNB3 유전자다형은 본 연구에 참여한 중년여성들의 대사증후군과 유의한 연관성이 없는 것으로 사료된다.
Abstract
The purpose of the current study was to investigate a possible interaction effect of GNB3 genotype and menopausal status on obesity indices, cardio-respiratory fitness, and metabolic syndrome markers in mid-life women. A total of 122 mid-life women(pre-menopausal women, n=61, post-menopausal women, n=61) voluntarily participated in this study. Following an overnight fasting of 10-12 hours, body composition was measured by using a standardized method, whole venous blood samples were collected from an antecubital vein for the assays of blood lipids, glucose, insulin, leptin, and adiponectin, and VO2max as an index of cardio-respiratory fitness was measured by using a standardized treadmill exercise test. Polymerase chain reaction with restriction fragment length polymorphism(PCR-RFLP) was used to assess GNB3 C825T genotype. Chi-square analysis was used to test the Hardy-Weinberg equilibrium based on the genotype frequencies of the GNB3 gene polymorphism in the study population, and its relative frequency were in the Hardy-Weinberg equilibrium. Therefore, it was confirmed that a sample size(n=122) of the current study represented the total population appropriately in terms of the GNB3 genotype distribution. On the other hand, the results of the ANCOVA analysis with age as a covariate showed that none of the measured metabolic syndrome markers was not significantly different across the GNB3 genotypes. In conclusion, the current findings suggest that the GNB3 genotype is not associated with the metabolic syndrome markers in the mid-life women.
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