目的:探讨基于Dixon磁共振成像(MRI)的肾脏脂肪沉积情况,探讨磁共振肾脏脂肪生物标志物(MR-RFBs)对肥胖早期肾脏损害的预测价值。
方法:这项前瞻性研究包括56名肥胖志愿者和47名非肥胖健康志愿者。所有志愿者均接受肾脏磁共振检查。MR-RFB的差异[包括肾脏质子密度脂肪分数(PDFF),肾窦脂肪体积(RSFV),和肾周脂肪厚度(PRFT)]在基于Dixon的MRI上测量的肥胖和非肥胖志愿者之间使用一般线性模型进行分析,做爱,年龄,糖尿病,和高血压作为协变量。估计肾小球滤过率(eGFR)与人口统计学之间的关系,实验室,通过相关性分析检查肥胖志愿者的影像学参数。
结果:控制混杂因素后,肥胖志愿者的MR-RFB高于非肥胖志愿者(均p<0.001)。肾PDFF(r=-0.383;p=0.004),RSFV(r=-0.368;p=0.005),PRFT(r=-0.451;p<0.001)与肥胖患者eGFR呈显著负相关。在调整了年龄之后,性别,身体质量指数,糖尿病,高血压,内脏脂肪组织,皮下脂肪组织,肾PDFF,和RSFV,PRFT与eGFR保持独立负相关(β=-0.587;p=0.003)。
结论:所有MR-RFB与肥胖患者eGFR呈负相关。MR-RFB,尤其是PRFT,可能对肥胖患者早期肾损害有预测价值。
OBJECTIVE: To investigate the renal fat deposition on
Dixon-based magnetic resonance imaging (MRI) and to explore the predictive value of renal fat biomarkers of magnetic resonance (MR-RFBs) for early kidney damage in obesity.
METHODS: This prospective study included 56 obese volunteers and 47 non-obese healthy volunteers. All volunteers underwent renal magnetic resonance examinations. The differences in MR-RFBs [including renal proton density fat fraction (PDFF), renal sinus fat volume (RSFV), and perirenal fat thickness (PRFT)] measured on
Dixon-based MRI between the obese and non-obese volunteers were analyzed using a general linear model, taking sex, age, diabetes, and hypertension as covariates. The relationship between estimated glomerular filtration rate (eGFR) and demographic, laboratory, and imaging parameters in obese volunteers was examined by correlation analysis.
RESULTS: Obese volunteers had higher MR-RFBs than non-obese volunteers after controlling for confounders (all p < 0.001). Renal PDFF (r = - 0.383; p = 0.004), RSFV (r = - 0.368; p = 0.005), and PRFT (r = - 0.451; p < 0.001) were significantly negatively correlated with eGFR in obesity. After adjusting for age, sex, body mass index, diabetes, hypertension, visceral adipose tissue, subcutaneous adipose tissue, renal PDFF, and RSFV, PRFT remained independently negatively associated with eGFR (β = - 0.587; p = 0.003).
CONCLUSIONS: All MR-RFBs are negatively correlated with eGFR in obesity. The MR-RFBs, especially PRFT, may have predictive value for early kidney damage in obesity.