Hallgreen C E, Hall K D
Department of Physics, Technical University of Denmark, Kongens Lyngby, Denmark.
Int J Obes (Lond). 2008 May;32(5):845-52. doi: 10.1038/sj.ijo.0803783. Epub 2007 Dec 18.
To elucidate the mathematical relationship between changes of visceral adipose tissue (VAT) and total body fat mass (FM) during weight loss.
We hypothesized that changes of VAT mass are allometrically related to changes of FM, regardless of the type of weight-loss intervention, as defined by the differential equation dVAT/dFM=k x VAT/FM, where k is a dimensionless constant. We performed a systematic search of the published literature for studies that included measurements of VAT changes via magnetic resonance imaging (MRI) or computed tomography (CT) imaging along with measurements of FM changes by dual-energy X-ray absorptiometry, hydrodensitometry, air-displacement plethysmography or whole-body MRI or CT imaging. We then examined whether or not the data could be explained by the allometric model.
We found 37 published studies satisfying our search criteria, representing 1407 men and women of various ethnicities, degrees of adiposity and weight-loss interventions. The hypothesized allometric equation relating changes of VAT and FM accurately modeled the data for both men and women and for all methods of weight loss studied. The best-fit value for the dimensionless constant was k=1.3+/-0.1 and the resulting model had an R(2)=0.73.
This is the first report to reveal an allometric relationship between changes of VAT and FM that holds for both genders as well as a wide variety of weight-loss interventions including bariatric surgery, caloric restriction with or without exercise and exercise alone. We conclude that changes of VAT are primarily determined by FM changes as well as the initial VAT to FM ratio.
阐明体重减轻期间内脏脂肪组织(VAT)变化与全身脂肪量(FM)变化之间的数学关系。
我们假设,无论减肥干预的类型如何,VAT质量的变化与FM的变化呈异速生长关系,其定义为微分方程dVAT/dFM = k×VAT/FM,其中k是一个无量纲常数。我们对已发表的文献进行了系统检索,寻找那些通过磁共振成像(MRI)或计算机断层扫描(CT)成像测量VAT变化,同时通过双能X线吸收法、水下密度测定法、空气置换体积描记法或全身MRI或CT成像测量FM变化的研究。然后我们检验这些数据是否能用异速生长模型来解释。
我们找到了37项符合检索标准的已发表研究,涉及1407名不同种族、肥胖程度和减肥干预措施的男性和女性。假设的将VAT和FM变化联系起来的异速生长方程准确地模拟了男性和女性以及所有研究的减肥方法的数据。无量纲常数的最佳拟合值为k = 1.3±0.1,所得模型的R² = 0.73。
这是第一份揭示VAT和FM变化之间的异速生长关系的报告,该关系对男女两性以及多种减肥干预措施均成立,包括减肥手术、有或无运动的热量限制以及单纯运动。我们得出结论,VAT的变化主要由FM的变化以及初始VAT与FM的比值决定。