Krüchten Ricarda von, Rospleszcz Susanne, Lorbeer Roberto, Hasic Dunja, Peters Annette, Bamberg Fabian, Schulz Holger, Karrasch Stefan, Schlett Christopher L
Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany.
Tomography. 2022 Feb 27;8(2):560-569. doi: 10.3390/tomography8020046.
Background: Specification of adipose tissues by whole-body magnetic resonance imaging (MRI) was performed and related to pulmonary function parameters in a population-based cohort. Methods: 203 study participants underwent whole-body MRI and pulmonary function tests as part of the KORA (Cooperative Health Research in the Augsburg Region) MRI study. Both visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were derived from the T1-Dixon sequence, and hepatic adipose tissue from the proton density fat fraction (PDFFhepatic). Associations between adipose tissue parameters and spirometric indices such as forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1) and Tiffeneau-index (FEV1/FVC) were examined using multivariate linear regression analysis excluding cofounding effects of other clinical parameters. Results: VAT (β = −0.13, p = 0.03) and SAT (β = −0.26, p < 0.001), but not PDFFhepatic were inversely associated with FEV1, while VAT (β = −0.27, p < 0.001), SAT (β = −0.41, p < 0.001), and PDFFhepatic (β = −0.17, p = 0.002) were inversely associated with FVC. PDFFhepatic was directly associated with the Tiffeneau index (β = 2.46, p < 0.001). Conclusions: In the adjusted linear regression model, VAT was inversely associated with all measured spirometric parameters, while PDFFhepatic revealed the strongest association with the Tiffeneau index. Non-invasive adipose tissue quantification measurements might serve as novel biomarkers for respiratory impairment.
在一项基于人群的队列研究中,通过全身磁共振成像(MRI)对脂肪组织进行了分类,并将其与肺功能参数相关联。方法:作为KORA(奥格斯堡地区合作健康研究)MRI研究的一部分,203名研究参与者接受了全身MRI和肺功能测试。内脏脂肪组织(VAT)和皮下脂肪组织(SAT)均来自T1-Dixon序列,肝脂肪组织来自质子密度脂肪分数(PDFFhepatic)。使用多变量线性回归分析,排除其他临床参数的混杂效应,研究脂肪组织参数与肺活量测定指标(如用力肺活量(FVC)、第1秒用力呼气量(FEV1)和蒂芬诺指数(FEV1/FVC))之间的关联。结果:VAT(β = -0.13,p = 0.03)和SAT(β = -0.26,p < 0.001),但不是PDFFhepatic与FEV1呈负相关,而VAT(β = -0.27,p < 0.001)、SAT(β = -0.41,p < 0.001)和PDFFhepatic(β = -0.17,p = 0.002)与FVC呈负相关。PDFFhepatic与蒂芬诺指数呈正相关(β = 2.46,p < 0.001)。结论:在调整后的线性回归模型中,VAT与所有测量的肺活量测定参数呈负相关,而PDFFhepatic与蒂芬诺指数的关联最强。非侵入性脂肪组织定量测量可能作为呼吸功能损害的新型生物标志物。