Department for Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany.
DIE RADIOLOGIE, Munich, Germany.
PLoS One. 2020 Feb 19;15(2):e0216635. doi: 10.1371/journal.pone.0216635. eCollection 2020.
We hypothesize that MRI-based renal compartment volumes, particularly renal sinus fat as locally and potentially independently acting perivascular fat tissue, increase with glucose intolerance. We therefore analyze the distribution of renal volumes in individuals with normal glucose levels and prediabetic and diabetic individuals and investigate potential associations with other typical cardiometabolic biomarkers.
The sample comprised N = 366 participants who were either normoglycemic (N = 230), had prediabetes (N = 87) or diabetes (N = 49), as determined by Oral Glucose Tolerance Test. Other covariates were obtained by standardized measurements and interviews. Whole-body MR measurements were performed on a 3 Tesla scanner. For assessment of the kidneys, a coronal T1w dual-echo Dixon and a coronal T2w single shot fast spin echo sequence were employed. Stepwise semi-automated segmentation of the kidneys on the Dixon-sequences was based on thresholding and geometric assumptions generating volumes for the kidneys and sinus fat. Inter- and intra-reader variability were determined on a subset of 40 subjects. Associations between glycemic status and renal volumes were evaluated by linear regression models, adjusted for other potential confounding variables. Furthermore, the association of renal volumes with visceral adipose tissue was assessed by linear regression models and Pearson's correlation coefficient.
Renal volume, renal sinus volume and renal sinus fat increased gradually from normoglycemic controls to individuals with prediabetes to individuals with diabetes (renal volume: 280.3±64.7 ml vs 303.7±67.4 ml vs 320.6±77.7ml, respectively, p < 0.001). After adjustment for age and sex, prediabetes and diabetes were significantly associated to increased renal volume, sinus volume (e.g. βPrediabetes = 10.1, 95% CI: [6.5, 13.7]; p<0.01, βDiabetes = 11.86, 95% CI: [7.2, 16.5]; p<0.01) and sinus fat (e.g. βPrediabetes = 7.13, 95% CI: [4.5, 9.8]; p<0.001, βDiabetes = 7.34, 95% CI: [4.0, 10.7]; p<0.001). Associations attenuated after adjustment for additional confounders were only significant for prediabetes and sinus volume (ß = 4.0 95% CI [0.4, 7.6]; p<0.05). Hypertension was significantly associated with increased sinus volume (β = 3.7, 95% CI: [0.4, 7.0; p<0.05]) and absolute sinus fat volume (β = 3.0, 95% CI: [0.7, 5.3]; p<0.05). GFR and all renal volumes were significantly associated as well as urine creatinine levels and renal sinus volume (β = 1.6, 95% CI: [0.1, 2.9]; p<0.05).
Renal volume and particularly renal sinus fat volume already increases significantly in prediabetic subjects and is significantly associated with VAT. This shows, that renal sinus fat is a perivascular adipose tissue, which early undergoes changes in the development of metabolic disease. Our findings underpin that renal sinus fat is a link between metabolic disease and associated chronic kidney disease, making it a potential imaging biomarker when assessing perivascular adipose tissue.
我们假设基于 MRI 的肾容积,特别是作为局部且潜在独立的血管周围脂肪组织的肾窦脂肪,会随着葡萄糖耐量的增加而增加。因此,我们分析了正常血糖水平、糖尿病前期和糖尿病个体的肾体积分布,并研究了其与其他典型的心血管代谢生物标志物的潜在关联。
该样本包括 366 名参与者,他们要么血糖正常(N = 230),要么患有糖尿病前期(N = 87),要么患有糖尿病(N = 49),根据口服葡萄糖耐量试验(OGTT)结果确定。其他协变量通过标准化测量和访谈获得。全身 MRI 测量在 3T 扫描仪上进行。评估肾脏时,使用冠状 T1w 双回波 Dixon 和冠状 T2w 单次快速自旋回波序列。Dixon 序列上肾脏的逐步半自动分割基于阈值和几何假设,生成肾脏和窦脂肪的体积。在 40 名受试者的子集中确定了观察者内和观察者间的可变性。通过线性回归模型评估血糖状态与肾体积之间的相关性,调整其他潜在混杂变量。此外,还通过线性回归模型和 Pearson 相关系数评估了肾体积与内脏脂肪组织的相关性。
肾体积、肾窦体积和肾窦脂肪从血糖正常的对照组逐渐增加到糖尿病前期和糖尿病患者(肾体积:280.3±64.7ml 与 303.7±67.4ml 与 320.6±77.7ml,分别为 p < 0.001)。调整年龄和性别后,糖尿病前期和糖尿病与肾体积、窦体积(例如,糖尿病前期 = 10.1,95%CI:[6.5, 13.7];p<0.01,糖尿病 = 11.86,95%CI:[7.2, 16.5];p<0.01)和窦脂肪(例如,糖尿病前期 = 7.13,95%CI:[4.5, 9.8];p<0.001,糖尿病 = 7.34,95%CI:[4.0, 10.7];p<0.001)显著相关。在调整了其他混杂因素后,只有糖尿病前期和窦体积的相关性减弱(ß = 4.0,95%CI:[0.4, 7.6];p<0.05)。高血压与窦体积(β = 3.7,95%CI:[0.4, 7.0];p<0.05)和绝对窦脂肪体积(β = 3.0,95%CI:[0.7, 5.3];p<0.05)显著相关。肾小球滤过率和所有肾体积均与尿肌酐水平和窦体积显著相关(β = 1.6,95%CI:[0.1, 2.9];p<0.05)。
糖尿病前期患者的肾体积,特别是肾窦脂肪体积已经显著增加,并且与 VAT 显著相关。这表明,肾窦脂肪是一种血管周围脂肪组织,它在代谢疾病的发展过程中很早就发生了变化。我们的发现支持肾窦脂肪是代谢疾病与相关慢性肾脏病之间的联系,使其成为评估血管周围脂肪组织时的潜在影像学生物标志物。