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Mei Y, Yang G, Guo Y, Zhao K, Wu S, Xu Z, Zhou S, Yan C, Seeliger E, Niendorf T, Xu Y, Feng Y. Parametric MRI Detects Aristolochic Acid Induced Acute Kidney Injury. Tomography 2022; 8:2902-2914. [PMID: 36548535 PMCID: PMC9786286 DOI: 10.3390/tomography8060243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 11/30/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022] Open
Abstract
Exposure to aristolochic acid (AA) is of increased concern due to carcinogenic and nephrotoxic effects, and incidence of aristolochic acid nephropathy (AAN) is increasing. This study characterizes renal alterations during the acute phase of AAN using parametric magnetic resonance imaging (MRI). An AAN and a control group of male Wistar rats received administration of aristolochic acid I (AAI) and polyethylene glycol (PEG), respectively, for six days. Both groups underwent MRI before and 2, 4 and 6 days after AAI or PEG administration. T2 relaxation times and apparent diffusion coefficients (ADCs) were determined for four renal layers. Serum creatinine levels (sCr) and blood urea nitrogen (BUN) were measured. Tubular injury scores (TIS) were evaluated based on histologic findings. Increased T2 values were detected since day 2 in the AAN group, but decreased ADCs and increased sCr levels and BUN were not detected until day 4. Significant linear correlations were observed between T2 of the cortex and the outer stripe of outer medulla and TIS. Our results demonstrate that parametric MRI facilitates early detection of renal injury induced by AAI in a rat model. T2 mapping may be a valuable tool for assessing kidney injury during the acute phase of AAN.
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Affiliation(s)
- Yingjie Mei
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Guixiang Yang
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yihao Guo
- Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou 570311, China
| | - Kaixuan Zhao
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Shuyu Wu
- Radiotherapy Center, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou 510095, China
| | - Zhongbiao Xu
- Radiotherapy Center, Guangdong General Hospital, Guangzhou 510080, China
| | - Shan Zhou
- State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Chenggong Yan
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Erdmann Seeliger
- Institute of Translational Physiology, Charité–Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Thoralf Niendorf
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125 Berlin, Germany
| | - Yikai Xu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yanqiu Feng
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
- Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence & Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou 510515, China
- Department of Radiology, Shunde Hospital, Southern Medical University (The First People’s Hospital of Shunde, Foshan), Foshan 528399, China
- Correspondence:
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Wang F, Otsuka T, Adelnia F, Takahashi K, Delgado R, Harkins KD, Zu Z, de Caestecker MP, Harris RC, Gore JC, Takahashi T. Multiparametric magnetic resonance imaging in diagnosis of long-term renal atrophy and fibrosis after ischemia reperfusion induced acute kidney injury in mice. NMR IN BIOMEDICINE 2022; 35:e4786. [PMID: 35704387 PMCID: PMC10805124 DOI: 10.1002/nbm.4786] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/31/2022] [Accepted: 06/14/2022] [Indexed: 06/15/2023]
Abstract
Tubular atrophy and fibrosis are pathological changes that determine the prognosis of kidney disease induced by acute kidney injury (AKI). We aimed to evaluate multiple magnetic resonance imaging (MRI) parameters, including pool size ratio (PSR) from quantitative magnetization transfer, relaxation rates, and measures from spin-lock imaging ( R 1 ρ and S ρ ), for assessing the pathological changes associated with AKI-induced kidney disease. Eight-week-old male C57BL/6 J mice first underwent unilateral ischemia reperfusion injury (IRI) induced by reperfusion after 45 min of ischemia. They were imaged using a 7T MRI system 56 days after the injury. Paraffin tissue sections were stained using Masson trichrome and picrosirius red to identify histopathological changes such as tubular atrophy and fibrosis. Histology detected extensive tubular atrophy and moderate fibrosis in the cortex and outer stripe of the outer medulla (CR + OSOM) and more prominent fibrosis in the inner stripe of the outer medulla (ISOM) of IRI kidneys. In the CR + OSOM region, evident decreases in PSR, R 1 , R 2 , R 1 ρ , and S ρ showed in IRI compared with contralateral kidneys, with PSR and S ρ exhibiting the most significant changes. In addition, the exchange parameter S ρ dropped by the largest degree among all the MRI parameters, whileR 2 * increased significantly. In the ISOM of IRI kidneys, PSR increased while S ρ kept decreasing. R 2 , R 1 ρ , andR 2 * all increased due to more severe fibrosis in this region. Among MRI measures, PSR and R 1 ρ showed the highest detectability of renal changes no matter whether tubular atrophy or fibrosis dominated.R 2 * and S ρ could be more specific to a single pathological event than other MRI measures because onlyR 2 * increased and S ρ decreased consistently when either fibrosis or tubular atrophy dominated, and their correlations with fibrosis scores were higher than other MRI measures. Multiparametric MRI may enable a more comprehensive analysis of histopathological changes following AKI.
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Affiliation(s)
- Feng Wang
- Vanderbilt University Institute of Imaging Science,
Vanderbilt University Medical Center, Nashville, TN 37232
- Department of Radiology and Radiological Sciences,
Vanderbilt University Medical Center, Nashville, TN 37232
- Vanderbilt O’Brien Kidney Research Center,
Vanderbilt University Medical Center, Nashville, TN 37232
| | - Tadashi Otsuka
- Division of Nephrology and Hypertension, Vanderbilt
University Medical Center, Nashville, TN 37232
| | - Fatemeh Adelnia
- Vanderbilt University Institute of Imaging Science,
Vanderbilt University Medical Center, Nashville, TN 37232
| | - Keiko Takahashi
- Division of Nephrology and Hypertension, Vanderbilt
University Medical Center, Nashville, TN 37232
- Vanderbilt O’Brien Kidney Research Center,
Vanderbilt University Medical Center, Nashville, TN 37232
| | - Rachel Delgado
- Division of Nephrology and Hypertension, Vanderbilt
University Medical Center, Nashville, TN 37232
- Vanderbilt O’Brien Kidney Research Center,
Vanderbilt University Medical Center, Nashville, TN 37232
| | - Kevin D. Harkins
- Vanderbilt University Institute of Imaging Science,
Vanderbilt University Medical Center, Nashville, TN 37232
- Department of Radiology and Radiological Sciences,
Vanderbilt University Medical Center, Nashville, TN 37232
- Department of Biomedical Engineering, Vanderbilt
University, Nashville, TN 37232
| | - Zhongliang Zu
- Vanderbilt University Institute of Imaging Science,
Vanderbilt University Medical Center, Nashville, TN 37232
- Department of Radiology and Radiological Sciences,
Vanderbilt University Medical Center, Nashville, TN 37232
| | - Mark P. de Caestecker
- Division of Nephrology and Hypertension, Vanderbilt
University Medical Center, Nashville, TN 37232
- Vanderbilt O’Brien Kidney Research Center,
Vanderbilt University Medical Center, Nashville, TN 37232
| | - Raymond C. Harris
- Division of Nephrology and Hypertension, Vanderbilt
University Medical Center, Nashville, TN 37232
- Vanderbilt O’Brien Kidney Research Center,
Vanderbilt University Medical Center, Nashville, TN 37232
| | - John C. Gore
- Vanderbilt University Institute of Imaging Science,
Vanderbilt University Medical Center, Nashville, TN 37232
- Department of Radiology and Radiological Sciences,
Vanderbilt University Medical Center, Nashville, TN 37232
- Department of Biomedical Engineering, Vanderbilt
University, Nashville, TN 37232
| | - Takamune Takahashi
- Division of Nephrology and Hypertension, Vanderbilt
University Medical Center, Nashville, TN 37232
- Vanderbilt O’Brien Kidney Research Center,
Vanderbilt University Medical Center, Nashville, TN 37232
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