脂肪团和无脂肪团的哪些亚区与血液粘度因子有关?

Jean-Frédéric Brun, Emmanuelle Varlet-Marie, Justine Myzia, Laurent Vachoud, Bénédicte Marion, Céline Roques, Eric Raynaud de Mauverger, Jacques Mercier
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摘要

身体隔间的大小是血液粘度的几个因素的决定因素。红细胞聚集与脂肪量成比例,而红细胞比容与无脂肪量和腹部肥胖成比例,但这些身体成分的哪些部分与这种关系有关尚不清楚。分段生物电阻抗分析(sBIA)提供了一种可能性,可以更精确地描绘身体的各个分区与血液粘度因子之间的关系,比之前使用非节段性BIA的研究走得更远。在这项研究中,我们对38名接受标准化早餐测试的受试者进行了葡萄糖稳态数学建模和节段性生物电阻抗分析(sBIA),研究了身体各个部分与粘度因子之间的关系。用Anton Paar流变仪测量血液和血浆粘度,并用Quemada模型进行分析。与红细胞压积相关较好的参数是无脂肪质量(r = 0.562)及其两组分肌肉质量(r = 0.516)和非肌肉性无脂肪质量(r = 0.452),以及躯干脂肪量(r = 0.383)和腰臀比(r = 0.394)。红细胞聚集测量值与躯干和阑尾脂肪量相关(r在0.603和0.728之间)。M和M1与腰围和臀围的相关性较弱。这项研究表明,瘦体重和红细胞压积之间的相关性涉及瘦体重的肌肉和非肌肉部分,中央和阑尾脂肪都是红细胞聚集的决定因素。
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Which sub-compartments of fat mass and fat-free mass are related to blood viscosity factors?

The size of body compartments is a determinant of several factors of blood viscosity. Red cell aggregation is proportional to fat mass while hematocrit is proportional to both fat-free mass and abdominal adiposity, but which parts of these body components are involved in this relationship is not known. Segmental bioelectrical impedance analysis (sBIA) provides a possibility to delineate the relationships more precisely between various subdivisions of the body and blood viscosity factors, going farther than preceding studies using non segmental BIA. In this study we investigated in 38 subjects undergoing a standardized breakfast test with mathematical modelling of glucose homeostasis and a segmental bioelectrical impedance analysis (sBIA) the relationships between the various compartments of the body and viscosity factors. Blood and plasma viscosity were measured with the Anton Paar rheometer and analyzed with Quemada's model. The parameters better correlated to hematocrit are fat free mass (r = 0.562) and its two components muscle mass (r = 0.516) and non-muscular fat-free mass (r = 0.452), and also trunk fat mass (r = 0.383) and waist-to hip ratio (r = 0.394). Red cell aggregation measurements were correlated with both truncal and appendicular fat mass (r ranging between 0.603 and 0.728). Weaker correlations of M and M1 are found with waist circumference and hip circumference. This study shows that the correlation between lean mass and hematocrit involves both muscle and non-muscle moieties of lean mass, and that both central and appendicular fat are determinants of red cell aggregation.

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