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Humphries TLR, Vesey DA, Galloway GJ, Gobe GC, Francis RS. Identifying disease progression in chronic kidney disease using proton magnetic resonance spectroscopy. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2023; 134-135:52-64. [PMID: 37321758 DOI: 10.1016/j.pnmrs.2023.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/16/2023] [Accepted: 04/01/2023] [Indexed: 06/17/2023]
Abstract
Chronic kidney disease (CKD) affects approximately 10% of the world population, higher still in some developing countries, and can cause irreversible kidney damage eventually leading to kidney failure requiring dialysis or kidney transplantation. However, not all patients with CKD will progress to this stage, and it is difficult to distinguish between progressors and non-progressors at the time of diagnosis. Current clinical practice involves monitoring estimated glomerular filtration rate and proteinuria to assess CKD trajectory over time; however, there remains a need for novel, validated methods that differentiate CKD progressors and non-progressors. Nuclear magnetic resonance techniques, including magnetic resonance spectroscopy and magnetic resonance imaging, have the potential to improve our understanding of CKD progression. Herein, we review the application of magnetic resonance spectroscopy both in preclinical and clinical settings to improve the diagnosis and surveillance of patients with CKD.
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Affiliation(s)
- Tyrone L R Humphries
- Kidney Disease Research Collaborative, University of Queensland and Translational Research Institute, Brisbane, Queensland 4102, Australia; Department of Nephrology, Princess Alexandra Hospital, Woolloongabba, Queensland 4102, Australia.
| | - David A Vesey
- Kidney Disease Research Collaborative, University of Queensland and Translational Research Institute, Brisbane, Queensland 4102, Australia; Department of Nephrology, Princess Alexandra Hospital, Woolloongabba, Queensland 4102, Australia
| | - Graham J Galloway
- Kidney Disease Research Collaborative, University of Queensland and Translational Research Institute, Brisbane, Queensland 4102, Australia
| | - Glenda C Gobe
- Kidney Disease Research Collaborative, University of Queensland and Translational Research Institute, Brisbane, Queensland 4102, Australia
| | - Ross S Francis
- Kidney Disease Research Collaborative, University of Queensland and Translational Research Institute, Brisbane, Queensland 4102, Australia; Department of Nephrology, Princess Alexandra Hospital, Woolloongabba, Queensland 4102, Australia
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2
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Renal Diffusion-Weighted Imaging (DWI) for Apparent Diffusion Coefficient (ADC), Intravoxel Incoherent Motion (IVIM), and Diffusion Tensor Imaging (DTI): Basic Concepts. Methods Mol Biol 2021; 2216:187-204. [PMID: 33476001 PMCID: PMC9703200 DOI: 10.1007/978-1-0716-0978-1_11] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
The specialized function of the kidney is reflected in its unique structure, characterized by juxtaposition of disorganized and ordered elements, including renal glomerula, capillaries, and tubules. The key role of the kidney in blood filtration, and changes in filtration rate and blood flow associated with pathological conditions, make it possible to investigate kidney function using the motion of water molecules in renal tissue. Diffusion-weighted imaging (DWI) is a versatile modality that sensitizes observable signal to water motion, and can inform on the complexity of the tissue microstructure. Several DWI acquisition strategies are available, as are different analysis strategies, and models that attempt to capture not only simple diffusion effects, but also perfusion, compartmentalization, and anisotropy. This chapter introduces the basic concepts of DWI alongside common acquisition schemes and models, and gives an overview of specific DWI applications for animal models of renal disease.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This introduction chapter is complemented by two separate chapters describing the experimental procedure and data analysis.
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3
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Li LP, Hack B, Seeliger E, Prasad PV. MRI Mapping of the Blood Oxygenation Sensitive Parameter T 2* in the Kidney: Basic Concept. Methods Mol Biol 2021; 2216:171-185. [PMID: 33476000 DOI: 10.1007/978-1-0716-0978-1_10] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
The role of hypoxia in renal disease and injury has long been suggested but much work still remains, especially as it relates to human translation. Invasive pO2 probes are feasible in animal models but not for human use. In addition, they only provide localized measurements. Histological methods can identify hypoxic tissue and provide a spatial distribution, but are invasive and allow only one-time point. Blood oxygenation level dependent (BOLD) MRI is a noninvasive method that can monitor relative oxygen availability across the kidney. It is based on the inherent differences in magnetic properties of oxygenated vs. deoxygenated hemoglobin. Presence of deoxyhemoglobin enhances the spin-spin relaxation rate measured using a gradient echo sequence, known as R2* (= 1/T2*). While the key interest of BOLD MRI is in the application to humans, use in preclinical models is necessary primarily to validate the measurement against invasive methods, to better understand physiology and pathophysiology, and to evaluate novel interventions. Application of MRI acquisitions in preclinical settings involves several challenges both in terms of logistics and data acquisition. This section will introduce the concept of BOLD MRI and provide some illustrative applications. The following sections will discuss the technical issues associated with data acquisition and analysis.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This introduction chapter is complemented by two separate chapters describing the experimental procedure and data analysis.
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Affiliation(s)
- Lu-Ping Li
- Department of Radiology, NorthShore University HealthSystem, Evanston, IL, USA
| | - Bradley Hack
- Department of Radiology, NorthShore University HealthSystem, Evanston, IL, USA
| | - Erdmann Seeliger
- Institute of Physiology, Charité - University Medicine Berlin, Berlin, Germany
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4
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Chalouhi GE, Millischer AÉ, Mahallati H, Siauve N, Melbourne A, Grevent D, Vinit N, Heidet L, Aigrain Y, Ville Y, Blanc T, Salomon LJ. The use of fetal MRI for renal and urogenital tract anomalies. Prenat Diagn 2019; 40:100-109. [PMID: 31736096 DOI: 10.1002/pd.5610] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 10/29/2019] [Accepted: 10/30/2019] [Indexed: 12/20/2022]
Abstract
Fetal anomalies are detected in approximately 2% of all fetuses and, among these, genitourinary tract abnormalities account for 30% to 50% of all structural anomalies present at birth. Although ultrasound remains the first line diagnostic modality, fetal MRI provides important additional structural and functional information, especially with the development of faster sequences and the use of functional sequences. The added value of MRI-based imaging is three-fold: (a) improvement of diagnostic accuracy by adequate morphological examination, (b) detection of additional anomalies, and (c) in addition, MRI has the potential to provide information regarding renal function. In this review, we describe the role of fetal MRI in the anatomical evaluation of renal and urogenital tract anomalies, and we also touch upon the contribution of functional MRI to the diagnostic workup of these conditions.
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Affiliation(s)
- Gihad E Chalouhi
- Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Université Paris Descartes and Fetus & LUMIERE team, Paris, France.,Division of Fetal Medicine, Department of Obstetrics and Gynecology, American University of Beirut Medical Center, American University of Beirut, Beirut, Lebanon.,Université de Paris, Paris, France
| | - Anne-Élodie Millischer
- Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Université Paris Descartes and Fetus & LUMIERE team, Paris, France
| | - Houman Mahallati
- Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Université Paris Descartes and Fetus & LUMIERE team, Paris, France.,Department of Radiology, University of Calgary, Calgary, Canada
| | - Nathalie Siauve
- Imagerie Médicale, Hôpital Louis Mourier APHP, Colombes, France
| | - Andrew Melbourne
- Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Université Paris Descartes and Fetus & LUMIERE team, Paris, France.,School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.,Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - David Grevent
- Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Université Paris Descartes and Fetus & LUMIERE team, Paris, France
| | - Nicolas Vinit
- Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Department of Pediatric Surgery and Urology, Paris, France
| | - Laurence Heidet
- Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Université Paris Descartes and Fetus & LUMIERE team, Paris, France.,Centre de référence des Maladies Rénales Héréditaires de l'Enfant et de l'Adulte (MARHEA), Paris, France.,Pediatric Nephrology Department, Hôpital Universitaire Necker-Enfants Malades, Sorbonne Paris Cité University, Paris, France
| | - Yves Aigrain
- Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Université Paris Descartes and Fetus & LUMIERE team, Paris, France.,Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Department of Pediatric Surgery and Urology, Paris, France
| | - Yves Ville
- Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Université Paris Descartes and Fetus & LUMIERE team, Paris, France
| | - Thomas Blanc
- Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Université Paris Descartes and Fetus & LUMIERE team, Paris, France.,Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Department of Pediatric Surgery and Urology, Paris, France.,INSERM U1151-CNRS UMR 8253, Université de Paris, Institut Necker-Enfants Malades, Paris, France.,Université de Paris, Paris, France
| | - Laurent J Salomon
- Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Université Paris Descartes and Fetus & LUMIERE team, Paris, France.,Université de Paris, Paris, France
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5
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Zha T, Ren X, Xing Z, Zhang J, Tian X, Du Y, Xing W, Chen J. Evaluating Renal Fibrosis with R2* Histogram Analysis of the Whole Cortex in a Unilateral Ureteral Obstruction Model. Acad Radiol 2019; 26:e202-e207. [PMID: 30111497 DOI: 10.1016/j.acra.2018.07.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Revised: 07/19/2018] [Accepted: 07/19/2018] [Indexed: 12/15/2022]
Abstract
RATIONALE AND OBJECTIVES The aim of this study was to use histogram analysis to assess the correlation between blood oxygen-level dependent magnetic resonance imaging (BOLD-MRI) and renal fibrosis induced by unilateral ureteral obstruction (UUO) in an animal model for a long experimental period. MATERIALS AND METHODS The rabbits were randomly divided into a control group (n = 6) and a UUO group (n = 30). The rabbits in the UUO group underwent left ureteral obstruction surgery. BOLD-MRI examinations were performed at 2, 4, 6, and 8 weeks after ligation. After the examinations, nephrectomy was performed for histologic evaluation. Histogram analysis of the left renal cortex (C) R2* values was performed to measure the mean, median, 10th percentile, 90th percentile, skewness, and kurtosis for all kidneys. Masson trichrome staining was used to assess the percentage of fibrotic area. RESULTS The histogram R2* values of the mean, median, 10th percentile, and 90th percentile at week 2 were all lower than those at baseline. Over the course of UUO progression, there were statistical differences between the histogram R2* values at any other two time points, except between weeks 4 and 6, and weeks 6 and 8. A close correlation was found between the percentage of fibrotic area and R2* values (mean: F = 21.49, p = 0.0001, R2 = 0.49, median: F = 30.07, p < 0.0001, R2 = 0.58, 10th percentile: F = 31.02, p < 0.0001, R2 = 0.59, 90th percentile: F = 24.13, p < 0.0001, R2 = 0.52). CONCLUSION BOLD-MRI could reflect the formation and progression of renal fibrosis in a rabbit UUO model; however, the value of BOLD-MRI in the long-term evaluation of fibrosis is limited.
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6
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Berchtold L, Friedli I, Crowe LA, Martinez C, Moll S, Hadaya K, de Perrot T, Combescure C, Martin PY, Vallée JP, de Seigneux S. Validation of the corticomedullary difference in magnetic resonance imaging-derived apparent diffusion coefficient for kidney fibrosis detection: a cross-sectional study. Nephrol Dial Transplant 2019; 35:937-945. [DOI: 10.1093/ndt/gfy389] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 11/15/2018] [Indexed: 12/12/2022] Open
Abstract
Abstract
Background
Kidney cortical interstitial fibrosis (IF) is highly predictive of renal prognosis and is currently assessed by the evaluation of a biopsy. Diffusion magnetic resonance imaging (MRI) is a promising tool to evaluate kidney fibrosis via the apparent diffusion coefficient (ADC), but suffers from inter-individual variability. We recently applied a novel MRI protocol to allow calculation of the corticomedullary ADC difference (ΔADC). We here present the validation of ΔADC for fibrosis assessment in a cohort of 164 patients undergoing biopsy and compare it with estimated glomerular filtration rate (eGFR) and other plasmatic parameters for the detection of fibrosis.
Methods
This monocentric cross-sectional study included 164 patients undergoing renal biopsy at the Nephrology Department of the University Hospital of Geneva between October 2014 and May 2018. Patients underwent diffusion-weighted imaging, and T1 and T2 mappings, within 1 week after biopsy. MRI results were compared with gold standard histology for fibrosis assessment.
Results
Absolute cortical ADC or cortical T1 values correlated poorly to IF assessed by the biopsy, whereas ΔADC was highly correlated to IF (r=−0.52, P < 0.001) and eGFR (r = 0.37, P < 0.01), in both native and allograft patients. ΔT1 displayed a lower, but significant, correlation to IF and eGFR, whereas T2 did not correlate to IF nor to eGFR. ΔADC, ΔT1 and eGFR were independently associated with kidney fibrosis, and their combination allowed detection of extensive fibrosis with good specificity.
Conclusion
ΔADC is better correlated to IF than absolute cortical or medullary ADC values. ΔADC, ΔT1 and eGFR are independently associated to IF and allow the identification of patients with extensive IF.
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Affiliation(s)
- Lena Berchtold
- Service and Laboratory of Nephrology, Department for Statistics, Department of Internal Medicine Specialties and of Physiology and Metabolism, University Hospital and University of Geneva, Geneva, Switzerland
| | - Iris Friedli
- Service of Radiology, Department for Statistics, Department of Radiology and Medical Informatics, University Hospital and University of Geneva, Geneva, Switzerland
| | - Lindsey A Crowe
- Service of Radiology, Department for Statistics, Department of Radiology and Medical Informatics, University Hospital and University of Geneva, Geneva, Switzerland
| | - Chantal Martinez
- Service and Laboratory of Nephrology, Department for Statistics, Department of Internal Medicine Specialties and of Physiology and Metabolism, University Hospital and University of Geneva, Geneva, Switzerland
| | - Solange Moll
- Department of Clinical Pathology, Institute of Clinical Pathology, University Hospital of Geneva, Geneva, Switzerland
| | - Karine Hadaya
- Service and Laboratory of Nephrology, Department for Statistics, Department of Internal Medicine Specialties and of Physiology and Metabolism, University Hospital and University of Geneva, Geneva, Switzerland
| | - Thomas de Perrot
- Service of Radiology, Department for Statistics, Department of Radiology and Medical Informatics, University Hospital and University of Geneva, Geneva, Switzerland
| | - Christophe Combescure
- CRC & Division of Clinical-Epidemiology, Department of Health and Community Medicine, University of Geneva and University Hospitals of Geneva, Geneva, Switzerland
| | - Pierre-Yves Martin
- Service and Laboratory of Nephrology, Department for Statistics, Department of Internal Medicine Specialties and of Physiology and Metabolism, University Hospital and University of Geneva, Geneva, Switzerland
| | - Jean-Paul Vallée
- Service of Radiology, Department for Statistics, Department of Radiology and Medical Informatics, University Hospital and University of Geneva, Geneva, Switzerland
| | - Sophie de Seigneux
- Service and Laboratory of Nephrology, Department for Statistics, Department of Internal Medicine Specialties and of Physiology and Metabolism, University Hospital and University of Geneva, Geneva, Switzerland
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7
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Hu G, Yang Z, Liang W, Lai C, Mei Y, Li Y, Xu J, Luo L, Quan X. Intravoxel Incoherent Motion and Arterial Spin Labeling MRI Analysis of Reversible Unilateral Ureteral Obstruction in Rats. J Magn Reson Imaging 2018; 50:288-296. [PMID: 30328247 DOI: 10.1002/jmri.26536] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 09/20/2018] [Accepted: 09/20/2018] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Renal fibrosis is a common consequence of chronic kidney disease (CKD) and is the mechanism by which various forms of CKD progress to endstage renal failure. Accurate assessment of renal fibrosis is important for treatment. PURPOSE To measure longitudinal changes of intravoxel incoherent motion (IVIM) and arterial spin labeling (ASL) before and after reversible unilateral ureteral obstruction in an animal model. STUDY TYPE Self-controlled animal study. ANIMAL MODEL Surgical obstruction of the ureters was performed and then removed after 5 days. Rats were scanned on Days 0, 1, 3, and 5 after creating the obstruction and on Days 4, 7, and 12 after releasing the obstruction. FIELD STRENGTH/SEQUENCE 3.0T/IVIM/ASL. ASSESSMENT The apparent diffusion coefficient (ADC), pure molecular diffusion (D), perfusion fraction (f), pseudodiffusion (D*), and renal blood flow (RBF) obtained from the ASL were measured. STATISTICAL TESTS Using SPSS v. 20.0 software, P < 0.05 were considered statistically significant. The data from each timepoint were compared using one-way analysis of variance and correlation analysis was applied to various parameters. RESULTS The postobstruction kidneys showed renal tubule swelling and increased collagen fiber content. Renal tubule swelling was relieved after reversing the obstruction, but Masson staining and cell density analysis revealed progressive changes that were primarily localized to the medulla. In general, ADC, D, f, D*, and RBF decreased with time during the 5 days of obstruction, and increased after release of the obstruction. ADC positively correlated with D, f, D*, and RBF (r = 0.415, r = 0.634, r = 0.465 r = 0.586, P < 0.001, respectively) in the cortex in this study. Also, ADC showed a positive correlation with D, f, and D* (r = 0.724, r = 0.749, r = 0.151, P < 0.001, respectively) in the medulla. DATA CONCLUSION Kidney perfusion was the major factor affecting ADC. Functional imaging may be useful for following progression of CKD. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:288-296.
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Affiliation(s)
- Genwen Hu
- Department of Radiology, Shenzhen People's Hospital (Second Clinical Medical College of Jinan University), Shenzhen, P.R. China
| | - Zhong Yang
- Department of Radiology, Shenzhen People's Hospital (Second Clinical Medical College of Jinan University), Shenzhen, P.R. China
| | - Wen Liang
- Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Caiyong Lai
- Department of Urology, First Affiliated Hospital of Jinan University, Guangzhou, P.R. China
| | - Yingjie Mei
- MR Clinical Science, Philips Healthcare, GuangZhou, P.R. China
| | - Yufa Li
- Department of Pathology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, P.R. China
| | - Jianmin Xu
- Department of Radiology, Shenzhen People's Hospital (Second Clinical Medical College of Jinan University), Shenzhen, P.R. China
| | - Liangping Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, P.R. China
| | - Xianyue Quan
- Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, P.R. China
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8
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Niles DJ, Gordon JW, Huang G, Reese S, Adamson EB, Djamali A, Fain SB. Evaluation of renal metabolic response to partial ureteral obstruction with hyperpolarized 13 C MRI. NMR IN BIOMEDICINE 2018; 31. [PMID: 29130537 PMCID: PMC5736002 DOI: 10.1002/nbm.3846] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Revised: 09/17/2017] [Accepted: 09/18/2017] [Indexed: 05/13/2023]
Abstract
Hyperpolarized 13 C magnetic resonance imaging (MRI) may be used to non-invasively image the transport and chemical conversion of 13 C-labeled compounds in vivo. In this study, we utilize hyperpolarized 13 C MRI to evaluate metabolic markers in the kidneys longitudinally in a mouse model of partial unilateral ureteral obstruction (pUUO). Partial obstruction was surgically induced in the left ureter of nine adult mice, leaving the right ureter as a control. 1 H and hyperpolarized [1-13 C]pyruvate MRI of the kidneys was performed 2 days prior to surgery (baseline) and at 3, 7 and 14 days post-surgery. Images were evaluated for changes in renal pelvis volume, pyruvate, lactate and the lactate to pyruvate ratio. After 14 days, mice were sacrificed and immunohistological staining of both kidneys for collagen fibrosis (picrosirius red) and macrophage infiltration (F4/80) was performed. Statistical analysis was performed using a linear mixed effects model. Significant kidney × time interaction effects were observed for both lactate and pyruvate, indicating that these markers changed differently between time points for the obstructed and unobstructed kidneys. Both kidneys showed an increase in the lactate to pyruvate ratio after obstruction, suggesting a shift towards glycolytic metabolism. These changes were accompanied by marked hydronephrosis, fibrosis and macrophage infiltration in the obstructed kidney, but not in the unobstructed kidney. Our results show that pUUO is associated with increased pyruvate to lactate metabolism in both kidneys, with injury and inflammation specific to the obstructed kidney. The work also demonstrates the feasibility of the use of hyperpolarized 13 C MRI to study metabolism in renal disease.
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Affiliation(s)
- David J Niles
- Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Jeremy W Gordon
- Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Gengwen Huang
- Surgery, University of Wisconsin-Madison, Madison, WI, USA
| | - Shannon Reese
- Medicine, Nephrology, University of Wisconsin-Madison, Madison, WI, USA
| | - Erin B Adamson
- Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Arjang Djamali
- Medicine, Nephrology, University of Wisconsin-Madison, Madison, WI, USA
- University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Sean B Fain
- Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
- University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
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9
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Friedli I, Crowe LA, Berchtold L, Moll S, Hadaya K, de Perrot T, Vesin C, Martin PY, de Seigneux S, Vallée JP. New Magnetic Resonance Imaging Index for Renal Fibrosis Assessment: A Comparison between Diffusion-Weighted Imaging and T1 Mapping with Histological Validation. Sci Rep 2016; 6:30088. [PMID: 27439482 PMCID: PMC4954968 DOI: 10.1038/srep30088] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Accepted: 06/29/2016] [Indexed: 12/12/2022] Open
Abstract
A need exists to noninvasively assess renal interstitial fibrosis, a common process
to all kidney diseases and predictive of renal prognosis. In this translational
study, Magnetic Resonance Imaging (MRI) T1 mapping and a new segmented
Diffusion-Weighted Imaging (DWI) technique, for Apparent Diffusion Coefficient
(ADC), were first compared to renal fibrosis in two well-controlled animal models to
assess detection limits. Validation against biopsy was then performed in 33 kidney
allograft recipients (KARs). Predictive MRI indices, ΔT1 and
ΔADC (defined as the cortico-medullary differences), were compared to
histology. In rats, both T1 and ADC correlated well with fibrosis and inflammation
showing a difference between normal and diseased kidneys. In KARs, MRI indices were
not sensitive to interstitial inflammation. By contrast, ΔADC
outperformed ΔT1 with a stronger negative correlation to fibrosis
(R2 = 0.64 against
R2 = 0.29
p < 0.001). ΔADC tends to negative values
in KARs harboring cortical fibrosis of more than 40%. Using a discriminant analysis
method, the ΔADC, as a marker to detect such level of fibrosis or
higher, led to a specificity and sensitivity of 100% and 71%, respectively. This new
index has potential for noninvasive assessment of fibrosis in the clinical
setting.
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Affiliation(s)
- I Friedli
- Division of Radiology, Department of Radiology and Medical Informatics Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland
| | - L A Crowe
- Division of Radiology, Department of Radiology and Medical Informatics Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland
| | - L Berchtold
- Service of Nephrology, Department of Internal Medicine Specialties, Geneva University Hospitals, University of Geneva, Faculty of Medicine, Geneva, Switzerland
| | - S Moll
- Division of Pathology, Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland
| | - K Hadaya
- Divisions of Nephrology and Transplantation, Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland
| | - T de Perrot
- Division of Radiology, Department of Radiology and Medical Informatics Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland
| | - C Vesin
- Division of Cell Physiology and Metabolism, Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland
| | - P-Y Martin
- Service of Nephrology, Department of Internal Medicine Specialties, Geneva University Hospitals, University of Geneva, Faculty of Medicine, Geneva, Switzerland
| | - S de Seigneux
- Service of Nephrology, Department of Internal Medicine Specialties, Geneva University Hospitals, University of Geneva, Faculty of Medicine, Geneva, Switzerland
| | - J-P Vallée
- Division of Radiology, Department of Radiology and Medical Informatics Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland
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10
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Cai XR, Yu J, Zhou QC, Du B, Feng YZ, Liu XL. Use of intravoxel incoherent motion MRI to assess renal fibrosis in a rat model of unilateral ureteral obstruction. J Magn Reson Imaging 2016; 44:698-706. [PMID: 26841951 DOI: 10.1002/jmri.25172] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Accepted: 01/19/2016] [Indexed: 02/01/2023] Open
Affiliation(s)
- Xiang-Ran Cai
- Medical Imaging Center, First Affiliated Hospital; Jinan University; Guangzhou Guangdong China
| | - Juan Yu
- Department of Medical Imaging, Shenzhen Second People's Hospital; Shenzhen University; Shenzhen Guangdong China
| | - Qing-Chun Zhou
- Department of Urology, Nanhua Affiliated Hospital; Nanhua University; Hengyang Hunan China
| | - Bin Du
- Department of Pathology, First Affiliated Hospital; Jinan University; Guangzhou Guangdong China
| | - You-Zhen Feng
- Medical Imaging Center, First Affiliated Hospital; Jinan University; Guangzhou Guangdong China
| | - Xiao-ling Liu
- Medical Imaging Center, First Affiliated Hospital; Jinan University; Guangzhou Guangdong China
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11
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Hesketh EE, Vernon MA, Ding P, Clay S, Borthwick G, Conway B, Hughes J. A murine model of irreversible and reversible unilateral ureteric obstruction. J Vis Exp 2014. [PMID: 25549273 DOI: 10.3791/52559] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Obstruction of the kidney may affect native or transplanted kidneys and results in kidney injury and scarring. Presented here is a model of obstructive nephropathy induced by unilateral ureteric obstruction (UUO), which can either be irreversible (UUO) or reversible (R-UUO). In the irreversible UUO model, the ureter may be obstructed for variable periods of time in order to induce increasingly severe renal inflammation and interstitial fibrotic scarring. In the reversible R-UUO model the ureter is obstructed to induce hydronephrosis, tubular dilation and inflammation. After a suitable period of time the ureteric obstruction is then surgically reversed by anastomosis of the severed previously obstructed ureter to the bladder in order to allow complete decompression of the kidney and restoration of urinary flow to the bladder. The irreversible UUO model has been used to investigate various aspects of renal inflammation and scarring including the pathogenesis of disease and the testing of potential anti-inflammatory or anti-fibrotic therapies. The more challenging model of R-UUO has been used by some investigators and does offer significant research potential as it allows the study of inflammatory and immune processes and tissue remodeling in an injured and scarred kidney following the removal of the injurious stimulus. As a result, the R-UUO model offers investigators the opportunity to explore the resolution of kidney inflammation together with key aspects of tissue repair. These experimental models are of relevance to human disease as patients often present with obstruction of the renal tract that requires decompression and are commonly left with significant residual kidney impairment that has no current treatment options and may lead to eventual end stage kidney failure.
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Affiliation(s)
- Emily E Hesketh
- MRC Centre for Inflammation Research, University of Edinburgh
| | | | - Peng Ding
- MRC Centre for Inflammation Research, University of Edinburgh
| | - Spike Clay
- MRC Centre for Inflammation Research, University of Edinburgh
| | - Gary Borthwick
- MRC Centre for Inflammation Research, University of Edinburgh
| | - Bryan Conway
- MRC Centre for Inflammation Research, University of Edinburgh
| | - Jeremy Hughes
- MRC Centre for Inflammation Research, University of Edinburgh;
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Neugarten J, Golestaneh L. Blood oxygenation level-dependent MRI for assessment of renal oxygenation. Int J Nephrol Renovasc Dis 2014; 7:421-35. [PMID: 25473304 PMCID: PMC4247132 DOI: 10.2147/ijnrd.s42924] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Blood oxygen level-dependent magnetic resonance imaging (BOLD MRI) has recently emerged as an important noninvasive technique to assess intrarenal oxygenation under physiologic and pathophysiologic conditions. Although this tool represents a major addition to our armamentarium of methodologies to investigate the role of hypoxia in the pathogenesis of acute kidney injury and progressive chronic kidney disease, numerous technical limitations confound interpretation of data derived from this approach. BOLD MRI has been utilized to assess intrarenal oxygenation in numerous experimental models of kidney disease and in human subjects with diabetic and nondiabetic chronic kidney disease, acute kidney injury, renal allograft rejection, contrast-associated nephropathy, and obstructive uropathy. However, confidence in conclusions based on data derived from BOLD MRI measurements will require continuing advances and technical refinements in the use of this technique.
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Affiliation(s)
- Joel Neugarten
- Renal Division, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Ladan Golestaneh
- Renal Division, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
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