Tang Huali, Xie Lianghua, Liu Liu, Shen Yan, Yang Ping, Wu Jiamei, Zhao Xiaofang, Li Yi, Wang Zhihong, Mao Yun
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, China.
Department of Radiology, Affiliated Hospital of Guilin Medical University, No.15 Lequn Road, Guilin Guangxi, China.
Abdom Radiol (NY). 2024 Oct;49(10):3476-3484. doi: 10.1007/s00261-024-04391-9. Epub 2024 Jun 5.
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.
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.
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).
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.
研究基于 Dixon 技术的磁共振成像(MRI)上的肾脏脂肪沉积情况,并探讨磁共振肾脏脂肪生物标志物(MR-RFBs)对肥胖患者早期肾脏损伤的预测价值。
这项前瞻性研究纳入了 56 名肥胖志愿者和 47 名非肥胖健康志愿者。所有志愿者均接受了肾脏磁共振检查。采用一般线性模型分析肥胖和非肥胖志愿者在基于 Dixon 技术的 MRI 上测量的 MR-RFBs[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)]的差异,将性别、年龄、糖尿病和高血压作为协变量。通过相关性分析研究肥胖志愿者中估计肾小球滤过率(eGFR)与人口统计学、实验室和影像学参数之间的关系。
在控制协变量后,肥胖志愿者的 MR-RFBs 高于非肥胖志愿者(所有 p<0.001)。在肥胖人群中,肾脏 PDFF(r = -0.383;p = 0.004)、RSFV(r = -0.368;p = 0.005)和 PRFT(r = -0.451;p<0.001)与 eGFR 显著负相关。在调整年龄、性别、体重指数、糖尿病、高血压、内脏脂肪组织、皮下脂肪组织、肾脏 PDFF 和 RSFV 后,PRFT 仍与 eGFR 独立负相关(β = -0.587;p = 0.003)。
在肥胖人群中,所有 MR-RFBs 均与 eGFR 负相关。MR-RFBs,尤其是 PRFT,可能对肥胖患者早期肾脏损伤具有预测价值。