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TRPM4 Participates in Irradiation-Induced Aortic Valve Remodeling in Mice. Cancers (Basel) 2022; 14:cancers14184477. [PMID: 36139640 PMCID: PMC9497207 DOI: 10.3390/cancers14184477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 09/09/2022] [Accepted: 09/09/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Despite its benefit in cancer treatment, thoracic irradiation can induce aortic valve stenosis with fibrosis and calcification. The TRPM4 cation channel is known to participate in cellular remodeling including the transition of cardiac fibroblasts to myofibroblasts, similar to that observed during aortic valve stenosis. This study evaluates if TRPM4 is involved in irradiation-induced aortic valve damage. The aortic valve of mice was targeted by irradiation. Cardiac echography 5 months after treatment revealed an increase in aortic jet velocity, indicating stenosis. This was not observed in non-treated animals. Histological analysis revealed an increase in valvular cusp surface associated with fibrosis which was not observed in non-treated animals. The experiments were reproduced on mice after Trpm4 gene disruption. In these animals, irradiation did not induce valvular remodeling. It indicates that TRPM4 influences irradiation-induced aortic valve damage and thus could be a target to prevent such side effects of irradiation. Abstract Thoracic radiotherapy can lead to cardiac remodeling including valvular stenosis due to fibrosis and calcification. The monovalent non-selective cation channel TRPM4 is known to be involved in calcium handling and to participate in fibroblast transition to myofibroblasts, a phenomenon observed during aortic valve stenosis. The goal of this study was to evaluate if TRPM4 is involved in irradiation-induced aortic valve damage. Four-month-old Trpm4+/+ and Trpm4−/− mice received 10 Gy irradiation at the aortic valve. Cardiac parameters were evaluated by echography until 5 months post-irradiation, then hearts were collected for morphological and histological assessments. At the onset of the protocol, Trpm4+/+ and Trpm4−/− mice exhibited similar maximal aortic valve jet velocity and mean pressure gradient. Five months after irradiation, Trpm4+/+ mice exhibited a significant increase in those parameters, compared to the untreated animals while no variation was detected in Trpm4−/− mice. Morphological analysis revealed that irradiated Trpm4+/+ mice exhibited a 53% significant increase in the aortic valve cusp surface while no significant variation was observed in Trpm4−/− animals. Collagen staining revealed aortic valve fibrosis in irradiated Trpm4+/+ mice but not in irradiated Trpm4−/− animals. It indicates that TRPM4 influences irradiation-induced valvular remodeling.
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Li H, Metze P, Abaei A, Rottbauer W, Just S, Lu Q, Rasche V. Feasibility of real-time cardiac MRI in mice using tiny golden angle radial sparse. NMR IN BIOMEDICINE 2020; 33:e4300. [PMID: 32227427 DOI: 10.1002/nbm.4300] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 03/02/2020] [Accepted: 03/05/2020] [Indexed: 06/10/2023]
Abstract
Cardiovascular magnetic resonance imaging has proven valuable for the assessment of structural and functional cardiac abnormalities. Even although it is an established imaging method in small animals, the long acquisition times of gated or self-gated techniques still limit its widespread application. In this study, the application of tiny golden angle radial sparse MRI (tyGRASP) for real-time cardiac imaging was tested in 12 constitutive nexilin (Nexn) knock-out (KO) mice, both heterozygous (Het, N = 6) and wild-type (WT, N = 6), and the resulting functional parameters were compared with a well-established self-gating approach. Real-time images were reconstructed for different temporal resolutions of between 16.8 and 79.8 ms per image. The suggested approach was additionally tested for dobutamine stress and qualitative first-pass perfusion imaging. Measurements were repeated twice within 2 weeks for reproducibility assessment. In direct comparison with the high-quality, self-gated technique, the real-time approach did not show any significant differences in global function parameters for acquisition times below 50 ms (rest) and 31.5 ms (stress). Compared with WT, the end-diastolic volume (EDV) and end-systolic volume (ESV) were markedly higher (P < 0.05) and the ejection fraction (EF) was significantly lower in the Het Nexn-KO mice at rest (P < 0.001). For the stress investigation, a clear decrease of EDV and ESV, and an increase in EF, but maintained stroke volume, could be observed in both groups. Combined with ECG-triggering, tyGRASP provided first-pass perfusion data with a temporal resolution of one image per heartbeat, allowing the quantitative assessment of upslope curves in the blood-pool and myocardium. Excellent inter-study reproducibility was achieved in all the functional parameters. The tyGRASP is a valuable real-time MRI technique for mice, which significantly reduces the scan time in preclinical cardiac functional imaging, providing sufficient image quality for deriving accurate functional parameters, and has the potential to investigate real-time and beat-to-beat changes.
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Affiliation(s)
- Hao Li
- Core Facility Small Animal Imaging, Ulm University, Ulm, Germany
- Department of Cardiology, The Second Hospital of Shandong University, Jinan, China
| | - Patrick Metze
- Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany
| | - Alireza Abaei
- Core Facility Small Animal Imaging, Ulm University, Ulm, Germany
| | - Wolfgang Rottbauer
- Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany
| | - Steffen Just
- Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany
| | - Qinghua Lu
- Department of Cardiology, The Second Hospital of Shandong University, Jinan, China
| | - Volker Rasche
- Core Facility Small Animal Imaging, Ulm University, Ulm, Germany
- Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany
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Hammouda K, Khalifa F, Abdeltawab H, Elnakib A, Giridharan GA, Zhu M, Ng CK, Dassanayaka S, Kong M, Darwish HE, Mohamed TMA, Jones SP, El-Baz A. A New Framework for Performing Cardiac Strain Analysis from Cine MRI Imaging in Mice. Sci Rep 2020; 10:7725. [PMID: 32382124 PMCID: PMC7205890 DOI: 10.1038/s41598-020-64206-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 04/13/2020] [Indexed: 01/17/2023] Open
Abstract
Cardiac magnetic resonance (MR) imaging is one of the most rigorous form of imaging to assess cardiac function in vivo. Strain analysis allows comprehensive assessment of diastolic myocardial function, which is not indicated by measuring systolic functional parameters using with a normal cine imaging module. Due to the small heart size in mice, it is not possible to perform proper tagged imaging to assess strain. Here, we developed a novel deep learning approach for automated quantification of strain from cardiac cine MR images. Our framework starts by an accurate localization of the LV blood pool center-point using a fully convolutional neural network (FCN) architecture. Then, a region of interest (ROI) that contains the LV is extracted from all heart sections. The extracted ROIs are used for the segmentation of the LV cavity and myocardium via a novel FCN architecture. For strain analysis, we developed a Laplace-based approach to track the LV wall points by solving the Laplace equation between the LV contours of each two successive image frames over the cardiac cycle. Following tracking, the strain estimation is performed using the Lagrangian-based approach. This new automated system for strain analysis was validated by comparing the outcome of these analysis with the tagged MR images from the same mice. There were no significant differences between the strain data obtained from our algorithm using cine compared to tagged MR imaging. Furthermore, we demonstrated that our new algorithm can determine the strain differences between normal and diseased hearts.
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Affiliation(s)
- K Hammouda
- BioImaging Laboratory, Department of Bioengineering, University of Louisville, Louisville, KY, USA
| | - F Khalifa
- BioImaging Laboratory, Department of Bioengineering, University of Louisville, Louisville, KY, USA
| | - H Abdeltawab
- BioImaging Laboratory, Department of Bioengineering, University of Louisville, Louisville, KY, USA
| | - A Elnakib
- Electronics and Communications Engineering Department, Faculty of Engineeering, Mansoura University, Mansoura, Egypt
| | - G A Giridharan
- BioImaging Laboratory, Department of Bioengineering, University of Louisville, Louisville, KY, USA
| | - M Zhu
- Department of Radiology, Department of Medicine, University of Louisville, Louisville, KY, USA
| | - C K Ng
- Department of Radiology, Department of Medicine, University of Louisville, Louisville, KY, USA
| | - S Dassanayaka
- Diabetes and Obesity Center, Department of Medicine, University of Louisville, Louisville, KY, USA
| | - M Kong
- Department of Bioinformatics and Biostatistics, SPHIS, University of Louisville, Louisville, KY, USA
| | - H E Darwish
- Mathematics Department, Faculty of Science, Mansoura University, Mansoura, Egypt
| | - T M A Mohamed
- Diabetes and Obesity Center, Department of Medicine, University of Louisville, Louisville, KY, USA
- Division of Cardiovascular Medicine, Department of Medicine, University of Louisville, Louisville, KY, USA
| | - S P Jones
- Diabetes and Obesity Center, Department of Medicine, University of Louisville, Louisville, KY, USA
| | - A El-Baz
- BioImaging Laboratory, Department of Bioengineering, University of Louisville, Louisville, KY, USA.
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Rucher G, Cameliere L, Fendri J, Abbas A, Dupont K, Kamel S, Delcroix N, Dupont A, Berger L, Manrique A. Performance Evaluation of a Dedicated Preclinical PET/CT System for the Assessment of Mineralization Process in a Mouse Model of Atherosclerosis. Mol Imaging Biol 2019; 20:984-992. [PMID: 29713959 DOI: 10.1007/s11307-018-1202-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
PURPOSE The purpose of this study was to assess the impact of positron emission tomography/X-ray computed tomography (PET/CT) acquisition and reconstruction parameters on the assessment of mineralization process in a mouse model of atherosclerosis. PROCEDURES All experiments were performed on a dedicated preclinical PET/CT system. CT was evaluated using five acquisition configurations using both a tungsten wire phantom for in-plane resolution assessment and a bar pattern phantom for cross-plane resolution. Furthermore, the radiation dose of these acquisition configurations was calculated. The PET system was assessed using longitudinal line sources to determine the optimal reconstruction parameters by measuring central resolution and its coefficient of variation. An in vivo PET study was performed using uremic ApoE-/-, non-uremic ApoE-/-, and control mice to evaluate optimal PET reconstruction parameters for the detection of sodium [18F]fluoride (Na[18F]F) aortic uptake and for quantitative measurement of Na[18F]F bone influx (Ki) with a Patlak analysis. RESULTS For CT, the use of 1 × 1 and 2 × 2 binning detector mode increased both in-plane and cross-plane resolution. However, resolution improvement (163 to 62 μm for in-plane resolution) was associated with an important radiation dose increase (1.67 to 32.78 Gy). With PET, 3D-ordered subset expectation maximization (3D-OSEM) algorithm increased the central resolution compared to filtered back projection (1.42 ± 0.35 mm vs. 1.91 ± 0.08, p < 0.001). The use of 3D-OSEM with eight iterations and a zoom factor 2 yielded optimal PET resolution for preclinical study (FWHM = 0.98 mm). These PET reconstruction parameters allowed the detection of Na[18F]F aortic uptake in 3/14 ApoE-/- mice and demonstrated a decreased Ki in uremic ApoE-/- compared to non-uremic ApoE-/- and control mice (p < 0.006). CONCLUSIONS Optimizing reconstruction parameters significantly impacted on the assessment of mineralization process in a preclinical model of accelerated atherosclerosis using Na[18F]F PET. In addition, improving the CT resolution was associated with a dramatic radiation dose increase.
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Affiliation(s)
| | - Lucie Cameliere
- Normandie Univ, UNICAEN, EA 4650, Cyceron, 14000, Caen, France
- Chirurgie Vasculaire, CHU de Caen, Avenue de la Côte de Nacre, 14000, Caen, France
| | - Jihene Fendri
- Normandie Univ, UNICAEN, EA 4650, Cyceron, 14000, Caen, France
- Chirurgie Vasculaire, CHU de Caen, Avenue de la Côte de Nacre, 14000, Caen, France
| | - Ahmed Abbas
- Normandie Univ, UNICAEN, EPHE, INSERM, U1077, Neuropsychologie et Imagerie de la Mémoire Humaine, 14000, Caen, France
| | - Kevin Dupont
- Normandie Univ, UNICAEN, EA 4650, Cyceron, 14000, Caen, France
| | - Said Kamel
- Inserm UMR-1088, Université de Picardie Jules Verne, Centre Universitaire de Recherche en Santé (CURS), 80025, Amiens, France
| | - Nicolas Delcroix
- CNRS, UMS-3048, GIP Cyceron, Campus Jules Horowitz, 14000, Caen, France
| | - Axel Dupont
- Esprimed SAS, 1 Mail du professeur Georges Mathé, 94800, Villejuif, France
| | - Ludovic Berger
- Normandie Univ, UNICAEN, EA 4650, Cyceron, 14000, Caen, France
- Chirurgie Vasculaire, CHU de Caen, Avenue de la Côte de Nacre, 14000, Caen, France
| | - Alain Manrique
- Normandie Univ, UNICAEN, EA 4650, Cyceron, 14000, Caen, France.
- Médecine Nucléaire, CHU de Caen, Avenue de la Côte de Nacre, 14000, Caen, France.
- GIP Cyceron, Campus Jules Horowitz, Boulevard Henri Becquerel, BP 5229, 14074, Caen, France.
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Joubert M, Manrique A, Cariou B, Prieur X. Diabetes-related cardiomyopathy: The sweet story of glucose overload from epidemiology to cellular pathways. DIABETES & METABOLISM 2018; 45:238-247. [PMID: 30078623 DOI: 10.1016/j.diabet.2018.07.003] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Revised: 06/28/2018] [Accepted: 07/12/2018] [Indexed: 02/07/2023]
Abstract
Type 2 diabetes (T2D) is a major risk factor for heart failure (HF). Although the number of cases of myocardial infarction in the T2D population has been reduced by 25% over the last 10 years, the incidence of HF is continuously increasing, making it the most worrying diabetes complication. This strongly reinforces the urgent need for innovative therapeutic interventions to prevent cardiac dysfunction in T2D patients. To this end, epidemiological, imaging and animal studies have aimed to highlight the mechanisms involved in the development of diabetic cardiomyopathy. Epidemiological observations clearly show that hyperglycaemia correlates with severity of cardiac dysfunction and mortality in T2D patients. Both animal and cellular studies have demonstrated that, in the context of diabetes, the heart loses its ability to utilize glucose, therefore leading to glucose overload in cardiomyocytes that, in turn, promotes oxidative stress, accumulation of advanced glycation end-products (AGEs) and chronic activation of the hexosamine pathway. These have all been found to activate apoptosis and to alter heart contractility, calcium signalling and mitochondrial function. Although, in the past, tight glycaemic control has failed to improve cardiac function in T2D patients, recent clinical trials have reported cardiovascular benefit with hypoglycaemic antidiabetic drugs of the SGLT2-inhibitor family. This review, based on clinical evidence from mechanistic studies as well as several large clinical trials, covers 15 years of research, and strongly supports the idea that hyperglycaemia and glucose overload play a central role in the pathophysiology of diabetic cardiomyopathy.
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Affiliation(s)
- M Joubert
- Diabetes care unit, Caen university hospital, 14033 Caen cedex, France; EA4650, UNICAEN, 14000 Caen, France
| | - A Manrique
- Nuclear medicine unit, Caen university hospital, 14033 Caen cedex, France; EA4650, UNICAEN, 14000 Caen, France
| | - B Cariou
- Institut du thorax, Inserm, CNRS, University of Nantes, CHU Nantes, 44000 Nantes, France
| | - X Prieur
- Institut du thorax, Inserm, CNRS, University of Nantes, 44000 Nantes, France.
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