Das Mithun, Pal Susil, Ghosh Arnab
Post Graduate Department of Anthropology, Sree Chaitanya College, Habra, West Bengal, India.
J Cardiovasc Dis Res. 2010 Apr;1(2):86-91. doi: 10.4103/0975-3583.64442.
Several studies hinted about the clustering of risk variables of the metabolic syndrome (MS) and suggested that the underlying genetic polymorphisms could be responsible for the increasing incidence of coronary heart disease (CHD) in people of Indian origin. Therefore, identification of the components of the MS along with the genetic factors could be one of the aspects to make an attempt to prevent the increasing incidence of CHD.
Principal component factor analysis (PCFA) was undertaken to identify the components or factors of the MS among the adult (≥30 years) Asian Indians living in and around Calcutta, India. The study comprised 350 adult Asian Indians. Anthropometric measurements were taken, and lipid profiles, blood pressure and fasting blood glucose were measured for each participant. Two genetic polymorphisms, namely, angiotensin converting enzyme (ACE) gene polymorphism (insertion/deletion [I/D]) or ACE (I/D) and apolipoproteinE (Hha I) were also studied.
PCFA revealed 3 factors that cumulatively explained 65.39% of the observed variance of the MS by measured variables. The 3 factors identified were lipids and lipoprotein (Factor 1), centripetal fat and blood pressure (Factor 2), and ACE (I/D) polymorphism with blood pressure (Factor 3). Moreover, the first 2 factors, that is, lipids, lipoprotein, centripetal fat, and blood pressures cumulatively explained ~46% (45.94%) of the observed variance of MS in this population.
Since more than 1 factor was identified for the MS phenotype, more than 1 physiogenetic mechanism could be accounted for MS in the Asian Indian population.
多项研究暗示了代谢综合征(MS)风险变量的聚集性,并表明潜在的基因多态性可能是印度裔人群冠心病(CHD)发病率上升的原因。因此,识别MS的组成成分以及遗传因素可能是试图预防CHD发病率上升的一个方面。
采用主成分因子分析(PCFA)来识别居住在印度加尔各答及其周边地区的成年(≥30岁)亚洲印度人中MS的组成成分或因子。该研究包括350名成年亚洲印度人。对每位参与者进行人体测量,并测量其血脂谱、血压和空腹血糖。还研究了两种基因多态性,即血管紧张素转换酶(ACE)基因多态性(插入/缺失 [I/D])或ACE(I/D)以及载脂蛋白E(Hha I)。
PCFA揭示了3个因子,这些因子累计解释了测量变量所观察到的MS变异的65.39%。所识别的3个因子分别是脂质和脂蛋白(因子1)、向心性脂肪和血压(因子2)以及ACE(I/D)多态性与血压(因子3)。此外,前两个因子,即脂质、脂蛋白、向心性脂肪和血压,累计解释了该人群中观察到的MS变异的约46%(45.94%)。
由于MS表型识别出了不止1个因子,因此亚洲印度人群中MS可能存在不止1种生理遗传机制。