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Progress of blood oxygen level dependent MRI in diabetic kidney disease
WANG Zhiyuan  LI Shuhao  YU Sisi  GONG Lianggeng 

Cite this article as: Wang ZY, Li SH, Yu SS, et al. Progress of blood oxygen level dependent MRI in diabetic kidney disease. Chin J Magn Reson Imaging, 2020, 11(5): 382-385. DOI:10.12015/issn.1674-8034.2020.05.015.


[Abstract] Diabetic kidney disease (DKD) is a serious chronic microvascular complication of diabetes and a major cause of end-stage renal disease. Early detection, prevention and treatment can delay the progression of DKD. By monitoring the changes of renal oxygen metabolism in diabetic patients, blood oxygen level dependent MRI (BOLD-MRI) has important research and application value in the early diagnosis, functional evaluation, prognosis and monitor the effects of drugs on DKD. This article reviews the research progress and application of the BOLD-MRI in Diabetic Kidney Disease.
[Keywords] kidney diseases；diabetes mellitus；blood oxygen level dependent；magnetic resonance imaging

WANG Zhiyuan Medical Image Center, the Second Affiliated Hospital of Nanchang University, Nanchang 330006, China

LI Shuhao Medical Image Center, the Second Affiliated Hospital of Nanchang University, Nanchang 330006, China

YU Sisi Medical Image Center, the Second Affiliated Hospital of Nanchang University, Nanchang 330006, China

GONG Lianggeng* Medical Image Center, the Second Affiliated Hospital of Nanchang University, Nanchang 330006, China

*Corresponding to: Gong LG, E-mail: gong111999@163.com

Conflicts of interest   None.

Received  2019-11-04
Accepted  2020-02-12
DOI: 10.12015/issn.1674-8034.2020.05.015
Cite this article as: Wang ZY, Li SH, Yu SS, et al. Progress of blood oxygen level dependent MRI in diabetic kidney disease. Chin J Magn Reson Imaging, 2020, 11(5): 382-385. DOI:10.12015/issn.1674-8034.2020.05.015.

[1]
杨文英．中国糖尿病的流行特点及变化趋势．中国科学:生命科学, 2018, 48(8): 812-819.
[2]
Sulaiman MK. Diabetic nephropathy: recent advances in pathophysiology and challenges in dietary management. Diabetol Metab Syndr, 2019, 11: 117.
[3]
Nangaku M, Hirakawa Y, Mimura I, et al. Epigenetic changes in the acute kidney injury-to-chronic kidney disease transition. Nephron, 2017, 137(4): 256-259.
[4]
Perco P, Mayer G. Molecular, histological, and clinical phenotyping of diabetic nephropathy: valuable complementary information? Kidney Int, 2018, 93(2): 308-310.
[5]
A/L B Vasanth Rao VR, Tan SH, Candasamy M, et al. Diabetic nephropathy: an update on pathogenesis and drug development. Diabetes Metab Syndr, 2019, 13(1): 754-762.
[6]
Mise K, Imamura M, Yamaguchi S, et al. Identification of novel urinary biomarkers for predicting renal prognosis in patients with type 2 diabetes by glycan profiling in a multicenter prospective cohort study: U-CARE study 1. Diabetes Care, 2018, 41(8): 1765-1775.
[7]
罗丹丹，房向东，龚良庚．肾脏血氧水平依赖功能磁共振成像的研究进展.临床放射学杂志, 2014, 33(2): 306-309.
[8]
Chang D, Wang YC, Xu TT, et al. Noninvasive identification of renal hypoxia in experimental myocardial infarctions of different sizes by using BOLD MR imaging in a mouse model. Radiology, 2018, 286(1): 129-139.
[9]
Kalis IM, Pilutti D, Krafft AJ, et al. Prospective MR image alignment between breath-holds: application to renal BOLD MRI. Magn Reson Med, 2017, 77(4): 1573-1582.
[10]
Wu GY, Zhang RY, Mao HM, et al. The value of blood oxygen level dependent (BOLD) imaging in evaluating post-operative renal function outcomes after laparoscopic partial nephrectomy. Eur Radiol, 2018, 28(12): 5035-5043.
[11]
王楠，陈丽华，毛凡,等．血氧水平依赖及动脉自旋标记MRI早期诊断移植肾功能异常的价值．中华放射学杂志, 2018, 52(6): 452-456.
[12]
Lang ST, Guo J, Bruns A, et al. Multiparametric quantitative MRI for the detection of IgA nephropathy using tomoelastography, DWI, and BOLD imaging. Invest Radiol, 2019, 54(10): 669-674.
[13]
Pursnani A, Prasad PV. Science to practice: can functional MR imaging be useful in the evaluation of cardiorenal syndrome? Radiology, 2018, 286(1): 1-3.
[14]
过川根，张兰，汪启东,等. BOLD MRI对糖尿病大鼠肾脏早期损伤的动态评估研究．中国临床医学影像杂志, 2017, 28(10): 742-746.
[15]
dos-Santos EA, Li LP, Ji L, et al. Early changes with diabetes in renal medullary hemodynamics as evaluated by fiberoptic probes and BOLD magnetic resonance imaging. Invest Radiol, 2007, 42(3): 157-162.
[16]
Mora-Gutierrez JM, Garcia-Fernandez N, Slon Roblero MF, et al. Arterial spin labeling MRI is able to detect early hemodynamic changes in diabetic nephropathy. J Magn Reson Imaging, 2017, 46(6): 1810-1817.
[17]
Prasad PV. Update on renal blood oxygenation level-dependent MRI to assess intrarenal oxygenation in chronic kidney disease. Kidney Int, 2018, 93(4): 778-780.
[18]
Feng YZ, Ye YJ, Cheng ZY, et al. Non-invasive assessment of early stage diabetic nephropathy by DTI and BOLD MRI. Br J Radiol, 2019, 93: 1105.
[19]
Yin WJ, Liu F, Li XM, et al. Noninvasive evaluation of renal oxygenation in diabetic nephropathy by BOLD-MRI. Eur J Radiol, 2012, 81(7): 1426-1431.
[20]
蒋振兴，王毓，丁玖乐,等．血氧水平依赖MRI评估糖尿病肾病肾功能损伤的研究．磁共振成像, 2015, 6(7): 524-528.
[21]
任俊杰，李春霞，徐东红,等．血氧水平依赖磁共振成像评估2型糖尿病患者早期肾缺氧改变．中华糖尿病杂志, 2017, 9(3): 174-178.
[22]
Prasad PV, Li LP, Thacker JM, et al. Cortical perfusion and tubular function as evaluated by magnetic resonance imaging correlates with annual loss in renal function in moderate chronic kidney disease. Am J Nephrol, 2019, 49(2): 114-124.
[23]
Pruijm M, Mendichovszky IA, Liss P, et al. Renal blood oxygenation level-dependent magnetic resonance imaging to measure renal tissue oxygenation: a statement paper and systematic review. Nephrol Dial Transplant, 2018, 33(Suppl 2): i22-i28.
[24]
Haddock B, Larsson HBW, Francis S, et al. Human renal response to furosemide: simultaneous oxygenation and perfusion measurements in cortex and medulla. Acta Physiol (Oxf), 2019, 227(1): e13292.
[25]
Peng XG, Bai YY, Fang F, et al. Renal lipids and oxygenation in diabetic mice: noninvasive quantification with MR imaging. Radiology, 2013, 269(3): 748-757.
[26]
Wang Y, Zhang X, Wang B, et al. Evaluation of renal pathophysiological processes induced by an iodinated contrast agent in a diabetic rabbit model using intravoxel incoherent motion and blood oxygenation level-dependent magnetic resonance imaging. Korean J Radiol, 2019, 20(5): 830-843.
[27]
王佳欢，周菲，魏宝春，等. BOLD-MRI评价含碘对比剂对糖尿病肾病兔肾脏氧含量的影响．中国医学影像技术, 2019, 35(8): 1164-1168.
[28]
Wang Y, Ren K, Liu Y, et al. Application of BOLD MRI and DTI for the evaluation of renal effect related to viscosity of iodinated contrast agent in a rat model. J Magn Reson Imaging, 2017, 46(5): 1320-1331.
[29]
Pruijm M, Lucie H, Anne Z, et al. Blockade of the renin-angiotensin system and renal tissue oxygenation as measured with BOLD-MRI in patients with type 2 diabetes. Diabet Res Clin Pract, 2013, 99(2): 136-144.
[30]
Li ZC, Cai YZ, Tang ZG, et al. Lipo-prostaglandin E1 improves renal hypoxia evaluated by BOLD-MRI in patients with diabetic kidney disease. Clin Imaging, 2018, 50: 239-242.
[31]
周江燕，何悦明，尚润润,等. BOLD-MRI评价2型糖尿病患者降血糖治疗前后肾组织氧合状况．中国医学影像技术, 2019, 35(02): 231-235.
[32]
de Zeeuw D, Renfurm RW, Bakris G, et al. Efficacy of a novel inhibitor of vascular adhesion protein-1 in reducing albuminuria in patients with diabetic kidney disease (ALBUM): a randomised, placebo-controlled, phase 2 trial. Lancet Diabet Endocrinol, 2018, 6(12): 925-933.
[33]
Wang QD, Guo CGn, Zhang L, et al. BOLD MRI to evaluate early development of renal injury in a rat model of diabetes. J Int Med Res, 2018, 46(4): 1391-1403.
[34]
Pruijm M, Milani B, Pivin E, et al. Reduced cortical oxygenation predicts a progressive decline of renal function in patients with chronic kidney disease. Kidney Int, 2018, 93(4): 932-940.
[35]
Zhou H, Yang M, Jiang Z, et al. Renal hypoxia: an important prognostic marker in patients with chronic kidney disease. Am J Nephrol, 2018, 48(1): 46-55.
[36]
Palm F, Koeners MP. Editorial: hypoxia in kidney disease. Front Physiol, 2018, 9: 485.
[37]
Ding J, Xing Z, Jiang Z, et al. Evaluation of renal dysfunction using texture analysis based on DWI, BOLD, and susceptibility-weighted imaging. Eur Radiol, 2019, 29(5): 2293-2301.
[38]
Thacker J, Zhang JL, Franklin T, et al. BOLD quantified renal pO2 is sensitive to pharmacological challenges in rats. Magn Reson Med, 2017, 78(1): 297-302.
[39]
Kodama Y, Fuminori H, Mayumi Y, et al. Dynamic nuclear polarization magnetic resonance imaging and the oxygen-sensitive paramagnetic agent OX63 provide a noninvasive quantitative evaluation of kidney hypoxia in diabetic mice. Kidney Int, 2019, 96(3): 787-792.
[40]
Morrell GR, Jeong EK, Shi X, et al. Continuous prospectively navigated multi-echo GRE for improved BOLD imaging of the kidneys. NMR Biomed, 2019, 32(5): e4078.

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