1
|
Liu Y, Xu G, Shi F, Yang J, Gou R, Chen Z, Cao L. Case Report: A left ventricular pseudoaneurysm detected by cardiac magnetic resonance more than 1 year after a percutaneous transluminal coronary intervention. Front Cardiovasc Med 2024; 11:1348750. [PMID: 38576419 PMCID: PMC10991743 DOI: 10.3389/fcvm.2024.1348750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 02/29/2024] [Indexed: 04/06/2024] Open
Abstract
Pseudoaneurysm is a rare but lethal complication of acute myocardial infarction. In this study, we present a unique case of a patient with left ventricular free wall rupture detected by cardiac magnetic resonance more than 1 year after a percutaneous transluminal coronary intervention.
Collapse
Affiliation(s)
- Yuanyuan Liu
- Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Ge Xu
- Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Funan Shi
- Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
- Lanzhou University Second Hospital, Lanzhou University, Lanzhou, Gansu, China
| | - Jing Yang
- Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
- Lanzhou University Second Hospital, Lanzhou University, Lanzhou, Gansu, China
| | - Ruiqiang Gou
- Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Zixian Chen
- Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
- Intelligent Imaging Medical Engineering Research Center of Gansu Province, Lanzhou, Gansu, China
- Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Lanzhou, Gansu, China
- Radiological Clinical Medicine Research Center of Gansu Province, Lanzhou, Gansu, China
| | - Liang Cao
- Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
- Intelligent Imaging Medical Engineering Research Center of Gansu Province, Lanzhou, Gansu, China
- Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Lanzhou, Gansu, China
- Radiological Clinical Medicine Research Center of Gansu Province, Lanzhou, Gansu, China
| |
Collapse
|
2
|
Zhang J, Sandroni PB, Huang W, Gao X, Oswalt L, Schroder MA, Lee S, Shih YYI, Huang HYS, Swigart PM, Myagmar BE, Simpson PC, Rossi JS, Schisler JC, Jensen BC. Cardiomyocyte Alpha-1A Adrenergic Receptors Mitigate Postinfarct Remodeling and Mortality by Constraining Necroptosis. JACC Basic Transl Sci 2024; 9:78-96. [PMID: 38362342 PMCID: PMC10864988 DOI: 10.1016/j.jacbts.2023.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 08/26/2023] [Accepted: 08/29/2023] [Indexed: 02/17/2024]
Abstract
Clinical studies have shown that α1-adrenergic receptor antagonists (α-blockers) are associated with increased heart failure risk. The mechanism underlying that hazard and whether it arises from direct inhibition of cardiomyocyte α1-ARs or from systemic effects remain unclear. To address these issues, we created a mouse with cardiomyocyte-specific deletion of the α1A-AR subtype and found that it experienced 70% mortality within 7 days of myocardial infarction driven, in part, by excessive activation of necroptosis. We also found that patients taking α-blockers at our center were at increased risk of death after myocardial infarction, providing clinical correlation for our translational animal models.
Collapse
Affiliation(s)
- Jiandong Zhang
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
- UNC McAllister Heart Institute, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Peyton B. Sandroni
- UNC McAllister Heart Institute, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
- Department of Medicine, University of California-San Francisco, San Francisco, California, USA
| | - Wei Huang
- UNC McAllister Heart Institute, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Xiaohua Gao
- Department of Epidemiology, University of North Carolina Gillings School of Public Health, Chapel Hill, North Carolina, USA
| | - Leah Oswalt
- UNC McAllister Heart Institute, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Melissa A. Schroder
- UNC McAllister Heart Institute, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - SungHo Lee
- Center for Animal MRI, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Yen-Yu I. Shih
- Center for Animal MRI, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Hsiao-Ying S. Huang
- Mechanical and Aerospace Engineering Department, North Carolina State University, Raleigh, North Carolina, USA
| | - Philip M. Swigart
- Department of Medicine, University of California-San Francisco, San Francisco, California, USA
- San Francisco VA Medical Center, San Francisco, California, USA
| | - Bat E. Myagmar
- Department of Medicine, University of California-San Francisco, San Francisco, California, USA
- San Francisco VA Medical Center, San Francisco, California, USA
| | - Paul C. Simpson
- Department of Medicine, University of California-San Francisco, San Francisco, California, USA
- San Francisco VA Medical Center, San Francisco, California, USA
| | - Joseph S. Rossi
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Jonathan C. Schisler
- UNC McAllister Heart Institute, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
- Department of Pharmacology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Brian C. Jensen
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
- UNC McAllister Heart Institute, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
- Department of Pharmacology, University of North Carolina, Chapel Hill, North Carolina, USA
| |
Collapse
|
3
|
Rodero C, Baptiste TMG, Barrows RK, Lewalle A, Niederer SA, Strocchi M. Advancing clinical translation of cardiac biomechanics models: a comprehensive review, applications and future pathways. FRONTIERS IN PHYSICS 2023; 11:1306210. [PMID: 38500690 PMCID: PMC7615748 DOI: 10.3389/fphy.2023.1306210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
Cardiac mechanics models are developed to represent a high level of detail, including refined anatomies, accurate cell mechanics models, and platforms to link microscale physiology to whole-organ function. However, cardiac biomechanics models still have limited clinical translation. In this review, we provide a picture of cardiac mechanics models, focusing on their clinical translation. We review the main experimental and clinical data used in cardiac models, as well as the steps followed in the literature to generate anatomical meshes ready for simulations. We describe the main models in active and passive mechanics and the different lumped parameter models to represent the circulatory system. Lastly, we provide a summary of the state-of-the-art in terms of ventricular, atrial, and four-chamber cardiac biomechanics models. We discuss the steps that may facilitate clinical translation of the biomechanics models we describe. A well-established software to simulate cardiac biomechanics is lacking, with all available platforms involving different levels of documentation, learning curves, accessibility, and cost. Furthermore, there is no regulatory framework that clearly outlines the verification and validation requirements a model has to satisfy in order to be reliably used in applications. Finally, better integration with increasingly rich clinical and/or experimental datasets as well as machine learning techniques to reduce computational costs might increase model reliability at feasible resources. Cardiac biomechanics models provide excellent opportunities to be integrated into clinical workflows, but more refinement and careful validation against clinical data are needed to improve their credibility. In addition, in each context of use, model complexity must be balanced with the associated high computational cost of running these models.
Collapse
Affiliation(s)
- Cristobal Rodero
- Cardiac Electro-Mechanics Research Group (CEMRG), National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Tiffany M. G. Baptiste
- Cardiac Electro-Mechanics Research Group (CEMRG), National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
| | - Rosie K. Barrows
- Cardiac Electro-Mechanics Research Group (CEMRG), National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
| | - Alexandre Lewalle
- Cardiac Electro-Mechanics Research Group (CEMRG), National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Steven A. Niederer
- Cardiac Electro-Mechanics Research Group (CEMRG), National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom
- Turing Research and Innovation Cluster in Digital Twins (TRIC: DT), The Alan Turing Institute, London, United Kingdom
| | - Marina Strocchi
- Cardiac Electro-Mechanics Research Group (CEMRG), National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom
| |
Collapse
|
4
|
Córdova-Aquino J, Medellín-Castillo HI. Assessment of the elastic stiffness of human cardiac fibres after an apical infarction using finite element simulation. Proc Inst Mech Eng H 2023; 237:1261-1274. [PMID: 37865815 DOI: 10.1177/09544119231204184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2023]
Abstract
Several research works in the literature have focused on understanding the post-infarction ventricular remodelling phenomenon, but few works have considered the evaluation of the elastic behaviour of the cardiac tissue after a myocardial infarction. This paper presents an investigation focused on predicting the elastic performance of the human heart after a left ventricular apical infarction. The aim is to understand the elastic alterations of the cardiac fibres at different periods after an apical infarct. For this purpose, a hybrid method based on pressure and volume measurements of the left ventricle (LV) at different periods of ventricular remodelling, and the Finite Element Method (FEM), is developed. In addition, several performance indexes are defined to evaluate the heart performance during the ventricular remodelling process. The results show that during the first 2 weeks after a heart infarction, the cardiac fibres must support a much higher structural overload than during normal conditions. This structural overload is proportional to the aneurysm size but diminishes with the time, together with a significant reduction of the ventricular pumping capacity.
Collapse
|
5
|
Grilo GA, Cakir SN, Shaver PR, Iyer RP, Whitehead K, McClung JM, Vahdati A, de Castro Brás LE. Collagen matricryptin promotes cardiac function by mediating scar formation. Life Sci 2023; 321:121598. [PMID: 36963720 PMCID: PMC10120348 DOI: 10.1016/j.lfs.2023.121598] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 03/07/2023] [Accepted: 03/15/2023] [Indexed: 03/26/2023]
Abstract
AIMS A peptide mimetic of a collagen-derived matricryptin (p1159) was shown to reduce left ventricular (LV) dilation and fibrosis after 7 days delivery in a mouse model of myocardial infarction (MI). This suggested p1159 long-term treatment post-MI could have beneficial effects and reduce/prevent adverse LV remodeling. This study aimed to test the potential of p1159 to reduce adverse cardiac remodeling in a chronic MI model and to elucidate p1159 mode-of-action. MATERIALS AND METHODS Using a permanent occlusion MI rodent model, animals received p1159 or vehicle solution up to 28 days. We assessed peptide treatment effects on scar composition and structure and on systolic function. To assess peptide effects on scar vascularization, a cohort of mice were injected with Griffonia simplicifolia isolectin-B4. To investigate p1159 mode-of-action, LV fibroblasts from naïve animals were treated with increasing doses of p1159. KEY FINDINGS Matricryptin p1159 significantly improved systolic function post-MI (2-fold greater EF compared to controls) by reducing left ventricular dilation and inducing the formation of a compliant and organized infarct scar, which promoted LV contractility and preserved the structural integrity of the heart. Specifically, infarcted scars from p1159-treated animals displayed collagen fibers aligned parallel to the epicardium, to resist circumferential stretching, with reduced levels of cross-linking, and improved tissue perfusion. In addition, we found that p1159 increases cardiac fibroblast migration by activating RhoA pathways via the membrane receptor integrin α4. SIGNIFICANCE Our data indicate p1159 treatment reduced adverse LV remodeling post-MI by modulating the deposition, arrangement, and perfusion of the fibrotic scar.
Collapse
Affiliation(s)
- Gabriel A Grilo
- Department of Physiology, The Brody School of Medicine, East Carolina University, Greenville, NC 27834, United States of America
| | - Sirin N Cakir
- Department of Physiology, The Brody School of Medicine, East Carolina University, Greenville, NC 27834, United States of America
| | - Patti R Shaver
- Department of Physiology, The Brody School of Medicine, East Carolina University, Greenville, NC 27834, United States of America
| | - Rugmani P Iyer
- Department of Physiology, The Brody School of Medicine, East Carolina University, Greenville, NC 27834, United States of America
| | - Kaitlin Whitehead
- Department of Physiology, The Brody School of Medicine, East Carolina University, Greenville, NC 27834, United States of America
| | - Joseph M McClung
- Department of Physiology, The Brody School of Medicine, East Carolina University, Greenville, NC 27834, United States of America; Department of Cardiovascular Sciences, The Brody School of Medicine, East Carolina University, Greenville, NC 27834, United States of America; East Carolina Diabetes and Obesity Institute, The Brody School of Medicine, East Carolina University, Greenville, NC 27834, United States of America
| | - Ali Vahdati
- Department of Engineering, East Carolina University, Greenville, NC 27858, United States of America
| | - Lisandra E de Castro Brás
- Department of Physiology, The Brody School of Medicine, East Carolina University, Greenville, NC 27834, United States of America; Department of Cardiovascular Sciences, The Brody School of Medicine, East Carolina University, Greenville, NC 27834, United States of America.
| |
Collapse
|
6
|
Marcos-Garcés V, Rios-Navarro C, Gómez-Torres F, Gavara J, de Dios E, Diaz A, Miñana G, Chorro FJ, Bodi V, Ruiz-Sauri A. Fourier analysis of collagen bundle orientation in myocardial infarction scars. Histochem Cell Biol 2022; 158:471-483. [PMID: 35948735 PMCID: PMC9630212 DOI: 10.1007/s00418-022-02132-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/21/2022] [Indexed: 11/24/2022]
Abstract
Collagen bundle orientation (CBO) in myocardial infarct scars plays a major role in scar mechanics and complications after infarction. We aim to compare four histopathological methods for CBO measurement in myocardial scarring. Myocardial infarction was induced in 21 pigs by balloon coronary occlusion. Scar samples were obtained at 4 weeks, stained with Masson’s trichrome, Picrosirius red, and Hematoxylin–Eosin (H&E), and photographed using light, polarized light microscopy, and confocal microscopy, respectively. Masson’s trichrome images were also optimized to remove non-collagenous structures. Two observers measured CBO by means of a semi-automated, Fourier analysis protocol. Interrater reliability and comparability between techniques were studied by the intraclass correlation coefficient (ICC) and Bland–Altman (B&A) plots and limits of agreement. Fourier analysis showed an almost perfect interrater reliability for each technique (ICC ≥ 0.95, p < 0.001 in all cases). CBO showed more randomly oriented values in Masson’s trichrome and worse comparability with other techniques (ICC vs. Picrosirius red: 0.79 [0.47–0.91], p = 0.001; vs. H&E-confocal: 0.70 [0.26–0.88], p = 0.005). However, optimized Masson’s trichrome showed almost perfect agreement with Picrosirius red (ICC 0.84 [0.6–0.94], p < 0.001) and H&E-confocal (ICC 0.81 [0.54–0.92], p < 0.001), as well as these latter techniques between each other (ICC 0.84 [0.60–0.93], p < 0.001). In summary, a semi-automated, Fourier-based method can provide highly reproducible CBO measurements in four different histopathological techniques. Masson’s trichrome tends to provide more randomly oriented CBO index values, probably due to non-specific visualization of non-collagenous structures. However, optimization of Masson’s trichrome microphotographs to remove non-collagenous components provides an almost perfect comparability between this technique, Picrosirius red and H&E-confocal.
Collapse
Affiliation(s)
- Víctor Marcos-Garcés
- Department of Cardiology, Hospital Clínico Universitario de Valencia, Valencia, Spain.,INCLIVA Health Research Institute, Valencia, Spain
| | | | - Fabián Gómez-Torres
- Universidad Industrial de Santander, Escuela de Medicina, Bucaramanga, Colombia
| | - Jose Gavara
- INCLIVA Health Research Institute, Valencia, Spain
| | - Elena de Dios
- Center for Networked Biomedical Research-Cardiovascular (CIBER-CV), Madrid, Spain
| | - Ana Diaz
- Central Unit for Research in Medicine (UCIM), University of Valencia, Valencia, Spain
| | - Gema Miñana
- Department of Cardiology, Hospital Clínico Universitario de Valencia, Valencia, Spain.,INCLIVA Health Research Institute, Valencia, Spain.,Department of Medicine, University of Valencia, Valencia, Spain
| | - Francisco Javier Chorro
- Department of Cardiology, Hospital Clínico Universitario de Valencia, Valencia, Spain.,INCLIVA Health Research Institute, Valencia, Spain.,Center for Networked Biomedical Research-Cardiovascular (CIBER-CV), Madrid, Spain.,Department of Medicine, University of Valencia, Valencia, Spain
| | - Vicente Bodi
- Department of Cardiology, Hospital Clínico Universitario de Valencia, Valencia, Spain. .,INCLIVA Health Research Institute, Valencia, Spain. .,Center for Networked Biomedical Research-Cardiovascular (CIBER-CV), Madrid, Spain. .,Department of Medicine, University of Valencia, Valencia, Spain. .,Department of Cardiology, Hospital Clínico Universitario de Valencia, Valencia, Spain Instituto de Investigación Sanitaria del Hospital Clínico Universitario de Valencia (INCLIVA), Valencia, Spain. .,Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBER-CV), Madrid, Spain. .,Department of Medicine, Faculty of Medicine and Odontology, University of Valencia, Blasco Ibanez 17, 46010, Valencia, Spain.
| | - Amparo Ruiz-Sauri
- INCLIVA Health Research Institute, Valencia, Spain. .,Department of Pathology, University of Valencia, Valencia, Spain. .,Departamento de Patología, Facultad de Medicina y Odontología, Universitat de València, Avda/Blasco Ibáñez nº15, 46010, València, Spain.
| |
Collapse
|
7
|
Patient-Specific Modelling and Parameter Optimisation to Simulate Dilated Cardiomyopathy in Children. Cardiovasc Eng Technol 2022; 13:712-724. [PMID: 35194766 PMCID: PMC9616749 DOI: 10.1007/s13239-022-00611-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 02/02/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE Lumped parameter modelling has been widely used to simulate cardiac function and physiological scenarios in cardiovascular research. Whereas several patient-specific lumped parameter models have been reported for adults, there is a limited number of studies aiming to simulate cardiac function in children. The aim of this study is to simulate patient-specific cardiovascular dynamics in children diagnosed with dilated cardiomyopathy, using a lumped parameter model. METHODS Patient data including age, gender, heart rate, left and right ventricular end-systolic and end-diastolic volumes, cardiac output, systolic and diastolic aortic pressures were collected from 3 patients at Great Ormond Street Hospital for Children, London, UK. Ventricular geometrical data were additionally retrieved from cardiovascular magnetic resonance images. 23 parameters in the lumped parameter model were optimised to simulate systolic and diastolic pressures, end-systolic and end-diastolic volumes, cardiac output and left and right ventricular diameters in the patients using a direct search optimisation method. RESULTS Difference between the haemodynamic parameters in the optimised cardiovascular system models and clinical data was less than 10%. CONCLUSION The simulation results show the potential of patient-specific lumped parameter modelling to simulate clinical cases. Modelling patient specific cardiac function and blood flow in the paediatric patients would allow us to evaluate a variety of physiological scenarios and treatment options.
Collapse
|
8
|
Optimal Position of Attachment for Removable Thermoplastic Aligner on the Lower Canine Using Finite Element Analysis. MATERIALS 2020; 13:ma13153369. [PMID: 32751305 PMCID: PMC7436137 DOI: 10.3390/ma13153369] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 07/21/2020] [Accepted: 07/27/2020] [Indexed: 01/08/2023]
Abstract
Malocclusion is considered as a developmental disorder rather than a disease, and it may be affected by the composition and proportions of masseter muscle fibers. Orthodontics is a specialty of dentistry that deals with diagnosis and care of various irregular bite and/or malocclusion. Recent developments of 3D scanner and 3D printing technology has led to the use of a removable thermoplastic aligner (RTA), which is widely used due to its aesthetic excellence, comfortableness, and time efficiency. However, orthodontics using only an RTA has lower treatment efficacy and accuracy due to the differing movement of teeth from the plan. In order to improve these disadvantages, attachments were used, and biomechanical analyses were performed with and without them. However, there is insufficient research on the movement of teeth and the transfer of load according to the attachment position and shape. Therefore, in our study, we aimed to identify the optimal shape and position of attachments by analyzing various shapes and positions of attachments. Through 3D finite element analysis (FEA), simple tooth shape and mandibular canine shape were extracted in order to construct the orthodontics model which took into account the various shapes and positions of attachments. The optimal shape of a cylinder was derived through the FEA of simple tooth shape and analyzing various positions of attachments on teeth revealed that fixing the attachments at the lingual side of the tooth rather than the buccal side allowed for torque control and an effective movement of the teeth. Therefore, we suggest fixing the attachments at the lingual side rather than the buccal side of the tooth to induce effective movement of teeth in orthodontic treatment with the RTA in case of canine teeth.
Collapse
|