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Chen HS, Voortman LM, van Munsteren JC, Wisse LJ, Tofig BJ, Kristiansen SB, Glashan CA, DeRuiter MC, Zeppenfeld K, Jongbloed MRM. Quantification of Large Transmural Biopsies Reveals Heterogeneity in Innervation Patterns in Chronic Myocardial Infarction. JACC Clin Electrophysiol 2023; 9:1652-1664. [PMID: 37480856 DOI: 10.1016/j.jacep.2023.04.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 04/05/2023] [Accepted: 04/21/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Abnormal cardiac innervation plays an important role in arrhythmogenicity after myocardial infarction (MI). Data regarding reperfusion models and innervation abnormalities in the medium to long term after MI are sparse. Histologic quantification of the small-sized cardiac nerves is challenging, and transmural analysis has not been performed. OBJECTIVES This study sought to assess cardiac innervation patterns in transmural biopsy sections in a porcine reperfusion model of MI (MI-R) using a novel method for nerve quantification. METHODS Transmural biopsy sections from 4 swine (n = 83) at 3 months after MI-R and 3 controls (n = 38) were stained with picrosirius red (fibrosis) and beta-III-tubulin (autonomic nerves). Biopsy sections were classified as infarct core, border zone, or remote zone. Each biopsy section was analyzed with a custom software pipeline, allowing calculation of nerve density and classification into innervation types at the 1 × 1-mm resolution level. Relocation of the classified squares to the original biopsy position enabled transmural quantification and innervation heterogeneity assessment. RESULTS Coexisting hyperinnervation, hypoinnervation, and denervation were present in all transmural MI-R biopsy sections. The innervation heterogeneity was greatest in the infarct core (median: 0.14; IQR: 0.12-0.15), followed by the border zone (median: 0.05; IQR: 0.04-0.07; P = 0.02) and remote zone (median: 0.02; IQR: 0.02-0.03; P < 0.0001). Only in the border zone was a positive linear relation between fibrosis and innervation heterogeneity observed (R = 0.79; P < 0.0001). CONCLUSIONS This novel method allows quantification of nerve density and heterogeneity in large transmural biopsy sections. In the chronic phase after MI-R, alternating innervation patterns were identified within the same biopsy section. Persistent innervation heterogeneity, in particular in the border zone biopsy sections, may contribute to late arrhythmogenicity.
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Affiliation(s)
- H Sophia Chen
- Department of Cardiology, Willem Einthoven Center for Cardiac Arrhythmia Research and Management, Leiden University Medical Center, Leiden, the Netherlands; Department of Anatomy and Embryology, Leiden University Medical Center, Leiden, the Netherlands
| | - Lenard M Voortman
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
| | - J Conny van Munsteren
- Department of Anatomy and Embryology, Leiden University Medical Center, Leiden, the Netherlands
| | - Lambertus J Wisse
- Department of Anatomy and Embryology, Leiden University Medical Center, Leiden, the Netherlands
| | - Bawer J Tofig
- Department of Cardiology, Willem Einthoven Center for Cardiac Arrhythmia Research and Management, Aarhus University Hospital, Aarhus, Denmark
| | - Steen B Kristiansen
- Department of Cardiology, Willem Einthoven Center for Cardiac Arrhythmia Research and Management, Aarhus University Hospital, Aarhus, Denmark
| | - Claire A Glashan
- Department of Cardiology, Willem Einthoven Center for Cardiac Arrhythmia Research and Management, Leiden University Medical Center, Leiden, the Netherlands; Department of Anatomy and Embryology, Leiden University Medical Center, Leiden, the Netherlands
| | - Marco C DeRuiter
- Department of Anatomy and Embryology, Leiden University Medical Center, Leiden, the Netherlands
| | - Katja Zeppenfeld
- Department of Cardiology, Willem Einthoven Center for Cardiac Arrhythmia Research and Management, Leiden University Medical Center, Leiden, the Netherlands
| | - Monique R M Jongbloed
- Department of Cardiology, Willem Einthoven Center for Cardiac Arrhythmia Research and Management, Leiden University Medical Center, Leiden, the Netherlands; Department of Anatomy and Embryology, Leiden University Medical Center, Leiden, the Netherlands.
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Myocardial torsion and cardiac fulcrum. Morphologie 2020; 105:15-23. [PMID: 32646845 DOI: 10.1016/j.morpho.2020.06.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 06/23/2020] [Accepted: 06/23/2020] [Indexed: 11/22/2022]
Abstract
OBJECTIVE The development of the myocardial band shows that it starts and ends at the origin of the great vessels and that the myocardium joins to these rings but does not inserted into them. We always considered that there should be a fixed end of the muscle band that would allow it a helical rotation to fulfill its fundamental movements of shortening-torsion (systole) and elongation-distortion (suction). MATERIAL AND METHODS Seven young-bovine hearts (800-1000g) and seven human hearts (one embryo, 4g; one 10 years, 250g and five adult, 300g/average) were used for a detailed macrocoscopic and microscopic study. RESULTS We have found in all the bovine and human hearts studied a nucleus underlying the right trigone, whose osseus, chondroid or tendinous histological structure depends on the specimen analyzed. The microscopic analysis revealed in the hearts a trabecular osteochondral matrix (fulcrum) with segmental lines in bovines and in the ten-year-old human. In the fetus, it was found pre-chondroid areas in a myxoid stroma. In the adult human hearts, the histological analysis revealed a matrix similar to that of a tendon. All the hearts studied presented myocardial attachment to the rigid structure of the fulcrum. Myocardiocytes were not found neither at the left or rigth trigonous nor at the base of the valves. CONCLUSIONS The finding of the fulcrum gives support to the spiral myocardial band being the point of fixation that allows the helicoidal torsion.
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Park C, Fan Y, Hager G, Yuk H, Singh M, Rojas A, Hameed A, Saeed M, Vasilyev NV, Steele TWJ, Zhao X, Nguyen CT, Roche ET. An organosynthetic dynamic heart model with enhanced biomimicry guided by cardiac diffusion tensor imaging. Sci Robot 2020; 5:eaay9106. [PMID: 33022595 PMCID: PMC7545316 DOI: 10.1126/scirobotics.aay9106] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 01/08/2020] [Indexed: 01/07/2023]
Abstract
The complex motion of the beating heart is accomplished by the spatial arrangement of contracting cardiomyocytes with varying orientation across the transmural layers, which is difficult to imitate in organic or synthetic models. High-fidelity testing of intracardiac devices requires anthropomorphic, dynamic cardiac models that represent this complex motion while maintaining the intricate anatomical structures inside the heart. In this work, we introduce a biorobotic hybrid heart that preserves organic intracardiac structures and mimics cardiac motion by replicating the cardiac myofiber architecture of the left ventricle. The heart model is composed of organic endocardial tissue from a preserved explanted heart with intact intracardiac structures and an active synthetic myocardium that drives the motion of the heart. Inspired by the helical ventricular myocardial band theory, we used diffusion tensor magnetic resonance imaging and tractography of an unraveled organic myocardial band to guide the design of individual soft robotic actuators in a synthetic myocardial band. The active soft tissue mimic was adhered to the organic endocardial tissue in a helical fashion using a custom-designed adhesive to form a flexible, conformable, and watertight organosynthetic interface. The resulting biorobotic hybrid heart simulates the contractile motion of the native heart, compared with in vivo and in silico heart models. In summary, we demonstrate a unique approach fabricating a biomimetic heart model with faithful representation of cardiac motion and endocardial tissue anatomy. These innovations represent important advances toward the unmet need for a high-fidelity in vitro cardiac simulator for preclinical testing of intracardiac devices.
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Affiliation(s)
- Clara Park
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yiling Fan
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Gregor Hager
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Mechanical Engineering, Technical University of Munich, Munich, Germany
| | - Hyunwoo Yuk
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Manisha Singh
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- NTU-Northwestern Institute for Nanomedicine, Interdisciplinary Graduate School, Nanyang Technological University, Singapore, Singapore
| | - Allison Rojas
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Aamir Hameed
- Tissue Engineering Research Group, Department of Anatomy, Royal College of Surgeons in Ireland, Dublin, Ireland
- Trinity Centre for Biomedical Engineering, Trinity College Dublin, Dublin, Ireland
| | - Mossab Saeed
- Harvard Medical School, Boston, MA, USA
- Department of Cardiac Surgery, Boston Children's Hospital, Boston, MA, USA
| | - Nikolay V Vasilyev
- Harvard Medical School, Boston, MA, USA
- Department of Cardiac Surgery, Boston Children's Hospital, Boston, MA, USA
| | - Terry W J Steele
- NTU-Northwestern Institute for Nanomedicine, Interdisciplinary Graduate School, Nanyang Technological University, Singapore, Singapore
- School of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore
| | - Xuanhe Zhao
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Christopher T Nguyen
- Harvard Medical School, Boston, MA, USA.
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA
| | - Ellen T Roche
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
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Poveda F, Gil D, Martí E, Andaluz A, Ballester M, Carreras F. Helical structure of the cardiac ventricular anatomy assessed by diffusion tensor magnetic resonance imaging with multiresolution tractography. ACTA ACUST UNITED AC 2013; 66:782-90. [PMID: 24773858 DOI: 10.1016/j.rec.2013.04.021] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2012] [Accepted: 04/04/2013] [Indexed: 10/26/2022]
Abstract
INTRODUCTION AND OBJECTIVES Deeper understanding of the myocardial structure linking the morphology and function of the heart would unravel crucial knowledge for medical and surgical clinical procedures and studies. Several conceptual models of myocardial fiber organization have been proposed but the lack of an automatic and objective methodology prevented an agreement. We sought to deepen this knowledge through advanced computer graphical representations of the myocardial fiber architecture by diffusion tensor magnetic resonance imaging. METHODS We performed automatic tractography reconstruction of unsegmented diffusion tensor magnetic resonance imaging datasets of canine heart from the public database of the Johns Hopkins University. Full-scale tractographies have been built with 200 seeds and are composed by streamlines computed on the vector field of primary eigenvectors at the diffusion tensor volumes. We also introduced a novel multiscale visualization technique in order to obtain a simplified tractography. This methodology retains the main geometric features of the fiber tracts, making it easier to decipher the main properties of the architectural organization of the heart. RESULTS Output analysis of our tractographic representations showed exact correlation with low-level details of myocardial architecture, but also with the more abstract conceptualization of a continuous helical ventricular myocardial fiber array. CONCLUSIONS Objective analysis of myocardial architecture by an automated method, including the entire myocardium and using several 3-dimensional levels of complexity, reveals a continuous helical myocardial fiber arrangement of both right and left ventricles, supporting the anatomical model of the helical ventricular myocardial band described by F. Torrent-Guasp.
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Affiliation(s)
- Ferran Poveda
- Departamento de Ciencias de la Computación, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Debora Gil
- Departamento de Ciencias de la Computación, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain; Centro de Visión por Computador, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Enric Martí
- Departamento de Ciencias de la Computación, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Albert Andaluz
- Centro de Visión por Computador, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Manel Ballester
- Departamento de Medicina, Universitat de Lleida, Lleida, Spain
| | - Francesc Carreras
- Unidad de Imagen Cardiaca, Hospital de la Santa Creu i Sant Pau, IIB Sant Pau, Barcelona, Spain.
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Carreras F, Garcia-Barnes J, Gil D, Pujadas S, Li CH, Suarez-Arias R, Leta R, Alomar X, Ballester M, Pons-Llado G. Left ventricular torsion and longitudinal shortening: two fundamental components of myocardial mechanics assessed by tagged cine-MRI in normal subjects. Int J Cardiovasc Imaging 2011; 28:273-84. [PMID: 21305357 DOI: 10.1007/s10554-011-9813-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2010] [Accepted: 01/19/2011] [Indexed: 11/24/2022]
Abstract
Cardiac magnetic resonance imaging (Cardiac MRI) has become a gold standard diagnostic technique for the assessment of cardiac mechanics, allowing the non-invasive calculation of left ventricular long axis longitudinal shortening (LVLS) and absolute myocardial torsion (AMT) between basal and apical left ventricular slices, a movement directly related to the helicoidal anatomic disposition of the myocardial fibers. The aim of this study is to determine AMT and LVLS behaviour and normal values from a group of healthy subjects. A group of 21 healthy volunteers (15 males) (age: 23-55 y.o., mean: 30.7 ± 7.5) were prospectively included in an observational study by cardiac MRI. Left ventricular rotation (degrees) was calculated by custom-made software (Harmonic Phase Flow) in consecutive LV short axis planes tagged cine-MRI sequences. AMT was determined from the difference between basal and apical planes LV rotations. LVLS (%) was determined from the LV longitudinal and horizontal axis cine-MRI images. All the 21 cases studied were interpretable, although in three cases the value of the LV apical rotation could not be determined. The mean rotation of the basal and apical planes at end-systole were -3.71° ± 0.84° and 6.73° ± 1.69° (n:18) respectively, resulting in a LV mean AMT of 10.48° ± 1.63° (n:18). End-systolic mean LVLS was 19.07 ± 2.71%. Cardiac MRI allows for the calculation of AMT and LVLS, fundamental functional components of the ventricular twist mechanics conditioned, in turn, by the anatomical helical layout of the myocardial fibers. These values provide complementary information about systolic ventricular function in relation to the traditional parameters used in daily practice.
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Affiliation(s)
- Francesc Carreras
- Cardiac Imaging Unit, Cardiology Department, Hospital de la Santa Creu i Sant Pau, c/Sant Antoni Mª Claret, 167, 08025 Barcelona, Spain.
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