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Hypertrophy, Left Ventricular --- Hypertrophy, Left Ventricular. --- Cardiomyopathy, Hypertrophic. --- Cardiomyopathy, Hypertrophic Obstructive --- Cardiomyopathies, Hypertrophic --- Cardiomyopathies, Hypertrophic Obstructive --- Hypertrophic Cardiomyopathies --- Hypertrophic Cardiomyopathy --- Hypertrophic Obstructive Cardiomyopathies --- Hypertrophic Obstructive Cardiomyopathy --- Obstructive Cardiomyopathies, Hypertrophic --- Obstructive Cardiomyopathy, Hypertrophic --- Aortic Valve Stenosis --- Left Ventricular Hypertrophy --- Ventricular Hypertrophy, Left --- Hypertrophies, Left Ventricular --- Left Ventricular Hypertrophies --- Ventricular Hypertrophies, Left --- Cardiomyopathy, Hypertrophic
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This book provides a comprehensive clinical review of Hypertrophic Cardiomyopathy (HCM), the most common genetic disorder of the heart characterized by dysfunctional contractility at the sarcomere level, resulting in the development of abnormal and occasionally focal hypertrophy on a macroscopic level. Editor, Srihari S. Naidu, has brought together a world renowned group of experts to review various different topics but, with a practical focus that will enable readers to establish the evidence-based best practice in any potential scenario. Treatment modalities including medications, pacemakers and defibrillators, and invasive septal reduction therapy (both surgical myectomy and alcohol septal ablation) will be discussed. Chapters on genetics, family screening, lifestyle concerns, and athletic screening have additionally been added given the ongoing controversies and differences of opinion on many of these issues. Each chapter within Hypertrophic Cardiomyopathy begins with key points of knowledge and ends with clinical pearls that have not previously been disseminated to the wider community. The practical approach of the entire book continues with dedicated chapters on creating a Center of Excellence, including how to facilitate the multi-disciplinary approach, and on case-based reviews and discussions allowing readers to further understand how to integrate the knowledge gained from each chapter into the comprehensive and longitudinal care of the individual patient and family. The last chapter takes the reader through the management of actual patients, showing over decades the nuances to diagnosis and management and the sometimes abrupt changes in the course of their diseases that necessitate correspondingly abrupt modifications in treatment. This book will be an essential text for Trainees, Fellows, Residents and board-certified physicians in cardiology, interventional cardiology, cardiac surgery, cardiac imaging, sports medicine, paediatric cardiology, genetics and genetic counselling, and electrophysiology. .
Medicine & Public Health. --- Cardiology. --- Interventional Radiology. --- Diagnostic Radiology. --- Cardiac Surgery. --- Medicine. --- Radiology, Medical. --- Interventional radiology. --- Heart --- Médecine --- Radiologie interventionnelle --- Cardiologie --- Coeur --- Surgery. --- Chirurgie --- Electrocardiography. --- Heart -- Hypertrophy. --- Medicine --- Health & Biological Sciences --- Cardiovascular Diseases --- Hypertrophy. --- Cardiac hypertrophy --- Cardiomegaly --- Enlargement of the heart --- Heart enlargement --- Hypertrophic cardiomyopathy --- Myocardial hypertrophy --- Enlargement --- Hypertrophy and dilatation --- Radiology. --- Cardiac surgery. --- Diseases --- Size --- Cardiac surgery --- Open-heart surgery --- Clinical radiology --- Radiology, Medical --- Radiology (Medicine) --- Medical physics --- Radiology, Interventional --- Medical radiology --- Therapeutics --- Internal medicine --- Surgery --- Interventional radiology . --- Radiological physics --- Physics --- Radiation
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This book offers highly practical information on pharmaceutical options in pulmonary hypertension and is designed to establish the baseline level of knowledge that a cardiovascular professional needs to know on a day-to-day basis. Treatment of Pulmonary Hypertension allows readers to learn quickly and with certainty the mode of action, the possible adverse effects, and the management of patients prescribed these drugs. The emphasis is on current practice, but with an eye to the near-future direction of treatment. Written in a quick-access, no-nonsense format and with an emphasis on a just-the-facts clinical approach, this book will be of value to trainees, recertifying physicians, practicing physicians and other professional staff in internal medicine, cardiology, emergency medicine, thrombosis, hematology, pathology, and clinical pharmacology.
Medicine & Public Health. --- Cardiology. --- Pneumology/Respiratory System. --- Intensive / Critical Care Medicine. --- Anesthesiology. --- Medicine. --- Critical care medicine. --- Pneumology. --- Médecine --- Anesthésiologie --- Soins intensifs --- Cardiologie --- ;. --- Cardiovascular Diseases --- Medicine --- Health & Biological Sciences --- Pulmonary hypertension. --- Heart --- Cor pulmonale. --- Hypertrophy. --- Pulmonary heart disease --- Cardiac hypertrophy --- Cardiomegaly --- Enlargement of the heart --- Heart enlargement --- Hypertrophic cardiomyopathy --- Myocardial hypertrophy --- Enlargement --- Hypertrophy and dilatation --- Respiratory organs --- Diseases. --- Lungs --- Hypertension --- Pulmonary circulation --- Diseases --- Size --- Anaesthesiology --- Surgery --- Intensive care --- Intensive medicine --- Emergency medicine --- Intensive care units --- Internal medicine --- Respiratory organs—Diseases. --- Respiratory diseases
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Heart failure --- Heart --- Heart Failure, Congestive --- Hypertrophy --- Heart Failure. --- Insuffisance cardiaque --- Cœur --- Heart failure. --- Hypertrophie --- Hypertrophy. --- Cardiac hypertrophy --- Cardiomegaly --- Enlargement of the heart --- Hypertrophic cardiomyopathy --- Myocardial hypertrophy --- Cardiac failure --- Cardiac insufficiency --- Failure, Heart --- Insufficiency, Cardiac --- Congestive Heart Failure --- Heart Failure, Left-Sided --- Heart Failure, Right-Sided --- Left-Sided Heart Failure --- Myocardial Failure --- Right-Sided Heart Failure --- Cardiac Failure --- Heart Decompensation --- Decompensation, Heart --- Heart Failure, Left Sided --- Heart Failure, Right Sided --- Left Sided Heart Failure --- Right Sided Heart Failure --- Enlargement --- Hypertrophy and dilatation --- Cardiac arrest --- Cardiopulmonary system --- Cardiovascular system --- Chest --- Diseases --- Size
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Recent advances in information technology have brought forth a paradigm shift in science, especially in the biology and medical fields. Statistical methodologies based on high-performance computing and big data analysis are now indispensable for the qualitative and quantitative understanding of experimental results. In fact, the last few decades have witnessed drastic improvements in high-throughput experiments in health science, for example, mass spectrometry, DNA microarray, next generation sequencing, etc. Those methods have been providing massive data involving four major branches of omics (genomics, transcriptomics, proteomics, and metabolomics). Information about amino acid sequences, protein structures, and molecular structures are fundamental data for the prediction of bioactivity of chemical compounds when screening drugs. On the other hand, cell imaging, clinical imaging, and personal healthcare devices are also providing important data concerning the human body and disease. In parallel, various methods of mathematical modelling such as machine learning have developed rapidly. All of these types of data can be utilized in computational approaches to understand disease mechanisms, diagnosis, prognosis, drug discovery, drug repositioning, disease biomarkers, driver mutations, copy number variations, disease pathways, and much more. In this Special Issue, we have published 8 excellent papers dedicated to a variety of computational problems in the biomedical field from the genomic level to the whole-person physiological level.
Technology: general issues --- History of engineering & technology --- water temperature --- bathing --- ECG --- heart rate variability --- quantitative analysis --- t-test --- hypertrophic cardiomyopathy --- data mining --- automated curation --- molecular mechanisms --- atrial fibrillation --- sudden cardiac death --- heart failure --- left ventricular outflow tract obstruction --- cardiac fibrosis --- myocardial ischemia --- compound–protein interaction --- Jamu --- machine learning --- drug discovery --- herbal medicine --- data augmentation --- deep learning --- ECG quality assessment --- drug–target interactions --- protein–protein interactions --- chronic diseases --- drug repurposing --- maximum flow --- adenosine methylation --- m6A --- RNA modification --- neuronal development --- genetic variation --- copy number variants --- disease-related traits --- sequential order --- association test --- blood pressure --- cuffless measurement --- longitudinal experiment --- plethysmograph --- nonlinear regression --- n/a --- compound-protein interaction --- drug-target interactions --- protein-protein interactions
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Recent advances in information technology have brought forth a paradigm shift in science, especially in the biology and medical fields. Statistical methodologies based on high-performance computing and big data analysis are now indispensable for the qualitative and quantitative understanding of experimental results. In fact, the last few decades have witnessed drastic improvements in high-throughput experiments in health science, for example, mass spectrometry, DNA microarray, next generation sequencing, etc. Those methods have been providing massive data involving four major branches of omics (genomics, transcriptomics, proteomics, and metabolomics). Information about amino acid sequences, protein structures, and molecular structures are fundamental data for the prediction of bioactivity of chemical compounds when screening drugs. On the other hand, cell imaging, clinical imaging, and personal healthcare devices are also providing important data concerning the human body and disease. In parallel, various methods of mathematical modelling such as machine learning have developed rapidly. All of these types of data can be utilized in computational approaches to understand disease mechanisms, diagnosis, prognosis, drug discovery, drug repositioning, disease biomarkers, driver mutations, copy number variations, disease pathways, and much more. In this Special Issue, we have published 8 excellent papers dedicated to a variety of computational problems in the biomedical field from the genomic level to the whole-person physiological level.
water temperature --- bathing --- ECG --- heart rate variability --- quantitative analysis --- t-test --- hypertrophic cardiomyopathy --- data mining --- automated curation --- molecular mechanisms --- atrial fibrillation --- sudden cardiac death --- heart failure --- left ventricular outflow tract obstruction --- cardiac fibrosis --- myocardial ischemia --- compound–protein interaction --- Jamu --- machine learning --- drug discovery --- herbal medicine --- data augmentation --- deep learning --- ECG quality assessment --- drug–target interactions --- protein–protein interactions --- chronic diseases --- drug repurposing --- maximum flow --- adenosine methylation --- m6A --- RNA modification --- neuronal development --- genetic variation --- copy number variants --- disease-related traits --- sequential order --- association test --- blood pressure --- cuffless measurement --- longitudinal experiment --- plethysmograph --- nonlinear regression --- n/a --- compound-protein interaction --- drug-target interactions --- protein-protein interactions
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Recent advances in information technology have brought forth a paradigm shift in science, especially in the biology and medical fields. Statistical methodologies based on high-performance computing and big data analysis are now indispensable for the qualitative and quantitative understanding of experimental results. In fact, the last few decades have witnessed drastic improvements in high-throughput experiments in health science, for example, mass spectrometry, DNA microarray, next generation sequencing, etc. Those methods have been providing massive data involving four major branches of omics (genomics, transcriptomics, proteomics, and metabolomics). Information about amino acid sequences, protein structures, and molecular structures are fundamental data for the prediction of bioactivity of chemical compounds when screening drugs. On the other hand, cell imaging, clinical imaging, and personal healthcare devices are also providing important data concerning the human body and disease. In parallel, various methods of mathematical modelling such as machine learning have developed rapidly. All of these types of data can be utilized in computational approaches to understand disease mechanisms, diagnosis, prognosis, drug discovery, drug repositioning, disease biomarkers, driver mutations, copy number variations, disease pathways, and much more. In this Special Issue, we have published 8 excellent papers dedicated to a variety of computational problems in the biomedical field from the genomic level to the whole-person physiological level.
Technology: general issues --- History of engineering & technology --- water temperature --- bathing --- ECG --- heart rate variability --- quantitative analysis --- t-test --- hypertrophic cardiomyopathy --- data mining --- automated curation --- molecular mechanisms --- atrial fibrillation --- sudden cardiac death --- heart failure --- left ventricular outflow tract obstruction --- cardiac fibrosis --- myocardial ischemia --- compound-protein interaction --- Jamu --- machine learning --- drug discovery --- herbal medicine --- data augmentation --- deep learning --- ECG quality assessment --- drug-target interactions --- protein-protein interactions --- chronic diseases --- drug repurposing --- maximum flow --- adenosine methylation --- m6A --- RNA modification --- neuronal development --- genetic variation --- copy number variants --- disease-related traits --- sequential order --- association test --- blood pressure --- cuffless measurement --- longitudinal experiment --- plethysmograph --- nonlinear regression
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Even today, cardiovascular diseases are the main cause of death worldwide, and therapeutic approaches are very restricted. Due to the limited regenerative capabilities of terminally differentiated cardiomyocytes post injury, new strategies to treat cardiac patients are urgently needed. Post myocardial injury, resident fibroblasts begin to generate the extracellular matrix, resulting in fibrosis, and finally, cardiac failure. Recently, preclinical investigations and clinical trials raised hope in stem cell-based approaches, to be an effective therapy option for these diseases. So far, several types of stem cells have been identified to be promising candidates to be applied for treatment: cardiac progenitor cells, bone marrow derived stem cells, embryonic and induced pluripotent stem cells, as well as their descendants. Furthermore, the innovative techniques of direct cardiac reprogramming of cells offered promising options for cardiovascular research, in vitro and in vivo. Hereby, the investigation of underlying and associated mechanisms triggering the therapeutic effects of stem cell application is of particular importance to improve approaches for heart patients. This Special Issue of Cells provides the latest update in the rapidly developing field of regenerative medicine in cardiology.
Research & information: general --- Biology, life sciences --- Fabry disease --- human embryonic stem cells --- CRISPR/Cas9 genomic editing --- Mass spectrometry proteomic analysis --- hypertrophic cardiomyopathy --- disease model --- physical exercise --- cardiac cellular regeneration --- microRNA (miR) --- Akt signaling --- cardiomyocyte proliferation --- cardiac hypertrophy --- cardioprotection --- myocarditis --- inflammation --- leukocytes --- cardiomyocytes --- multi-electrode-array --- micro-electrode-array --- MEA --- drug/toxicity screening --- field potential --- arrhythmia --- electrocardiography --- cardiac regeneration --- stem cells --- iPSC --- PSC --- ESC --- cardiovascular disease --- regeneration --- cardiac progenitor cells --- induced pluripotent stem cells --- transdifferentiation --- direct reprogramming --- genetic engineering --- cardiac tissue engineering --- biomaterials --- 18F-FDG PET --- cardiac induced cells --- cardiac function --- non-invasive imaging --- human pluripotent stem cell --- ventricular --- maturation --- bone marrow stem cells --- angiogenesis --- myocardial infarction --- human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) --- iPS cells --- big conductance calcium activated potassium channel (BK) --- Maxi-K --- slo1 --- KCa1.1 --- iberiotoxin --- long QT syndrome --- mesenchymal stromal cells (MSC) --- mRNA --- miRNA --- cardiac reprogramming --- cardiac differentiation --- cardiovascular diseases --- adult stem cells --- myocardial infraction --- 3D printing --- 3D model --- bioprinting --- cardiovascular medicine --- heart --- myocardium --- heart valves --- vascular graft --- endothelialization --- tissue engineering --- decorin --- fibronectin --- electrospinning --- endothelial progenitor cells --- bioreactor --- biostable polyurethane --- MicroRNA --- Mir-133 --- coronary heart disease --- biomarker --- meta-analysis
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Even today, cardiovascular diseases are the main cause of death worldwide, and therapeutic approaches are very restricted. Due to the limited regenerative capabilities of terminally differentiated cardiomyocytes post injury, new strategies to treat cardiac patients are urgently needed. Post myocardial injury, resident fibroblasts begin to generate the extracellular matrix, resulting in fibrosis, and finally, cardiac failure. Recently, preclinical investigations and clinical trials raised hope in stem cell-based approaches, to be an effective therapy option for these diseases. So far, several types of stem cells have been identified to be promising candidates to be applied for treatment: cardiac progenitor cells, bone marrow derived stem cells, embryonic and induced pluripotent stem cells, as well as their descendants. Furthermore, the innovative techniques of direct cardiac reprogramming of cells offered promising options for cardiovascular research, in vitro and in vivo. Hereby, the investigation of underlying and associated mechanisms triggering the therapeutic effects of stem cell application is of particular importance to improve approaches for heart patients. This Special Issue of Cells provides the latest update in the rapidly developing field of regenerative medicine in cardiology.
Fabry disease --- human embryonic stem cells --- CRISPR/Cas9 genomic editing --- Mass spectrometry proteomic analysis --- hypertrophic cardiomyopathy --- disease model --- physical exercise --- cardiac cellular regeneration --- microRNA (miR) --- Akt signaling --- cardiomyocyte proliferation --- cardiac hypertrophy --- cardioprotection --- myocarditis --- inflammation --- leukocytes --- cardiomyocytes --- multi-electrode-array --- micro-electrode-array --- MEA --- drug/toxicity screening --- field potential --- arrhythmia --- electrocardiography --- cardiac regeneration --- stem cells --- iPSC --- PSC --- ESC --- cardiovascular disease --- regeneration --- cardiac progenitor cells --- induced pluripotent stem cells --- transdifferentiation --- direct reprogramming --- genetic engineering --- cardiac tissue engineering --- biomaterials --- 18F-FDG PET --- cardiac induced cells --- cardiac function --- non-invasive imaging --- human pluripotent stem cell --- ventricular --- maturation --- bone marrow stem cells --- angiogenesis --- myocardial infarction --- human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) --- iPS cells --- big conductance calcium activated potassium channel (BK) --- Maxi-K --- slo1 --- KCa1.1 --- iberiotoxin --- long QT syndrome --- mesenchymal stromal cells (MSC) --- mRNA --- miRNA --- cardiac reprogramming --- cardiac differentiation --- cardiovascular diseases --- adult stem cells --- myocardial infraction --- 3D printing --- 3D model --- bioprinting --- cardiovascular medicine --- heart --- myocardium --- heart valves --- vascular graft --- endothelialization --- tissue engineering --- decorin --- fibronectin --- electrospinning --- endothelial progenitor cells --- bioreactor --- biostable polyurethane --- MicroRNA --- Mir-133 --- coronary heart disease --- biomarker --- meta-analysis
Choose an application
Even today, cardiovascular diseases are the main cause of death worldwide, and therapeutic approaches are very restricted. Due to the limited regenerative capabilities of terminally differentiated cardiomyocytes post injury, new strategies to treat cardiac patients are urgently needed. Post myocardial injury, resident fibroblasts begin to generate the extracellular matrix, resulting in fibrosis, and finally, cardiac failure. Recently, preclinical investigations and clinical trials raised hope in stem cell-based approaches, to be an effective therapy option for these diseases. So far, several types of stem cells have been identified to be promising candidates to be applied for treatment: cardiac progenitor cells, bone marrow derived stem cells, embryonic and induced pluripotent stem cells, as well as their descendants. Furthermore, the innovative techniques of direct cardiac reprogramming of cells offered promising options for cardiovascular research, in vitro and in vivo. Hereby, the investigation of underlying and associated mechanisms triggering the therapeutic effects of stem cell application is of particular importance to improve approaches for heart patients. This Special Issue of Cells provides the latest update in the rapidly developing field of regenerative medicine in cardiology.
Research & information: general --- Biology, life sciences --- Fabry disease --- human embryonic stem cells --- CRISPR/Cas9 genomic editing --- Mass spectrometry proteomic analysis --- hypertrophic cardiomyopathy --- disease model --- physical exercise --- cardiac cellular regeneration --- microRNA (miR) --- Akt signaling --- cardiomyocyte proliferation --- cardiac hypertrophy --- cardioprotection --- myocarditis --- inflammation --- leukocytes --- cardiomyocytes --- multi-electrode-array --- micro-electrode-array --- MEA --- drug/toxicity screening --- field potential --- arrhythmia --- electrocardiography --- cardiac regeneration --- stem cells --- iPSC --- PSC --- ESC --- cardiovascular disease --- regeneration --- cardiac progenitor cells --- induced pluripotent stem cells --- transdifferentiation --- direct reprogramming --- genetic engineering --- cardiac tissue engineering --- biomaterials --- 18F-FDG PET --- cardiac induced cells --- cardiac function --- non-invasive imaging --- human pluripotent stem cell --- ventricular --- maturation --- bone marrow stem cells --- angiogenesis --- myocardial infarction --- human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) --- iPS cells --- big conductance calcium activated potassium channel (BK) --- Maxi-K --- slo1 --- KCa1.1 --- iberiotoxin --- long QT syndrome --- mesenchymal stromal cells (MSC) --- mRNA --- miRNA --- cardiac reprogramming --- cardiac differentiation --- cardiovascular diseases --- adult stem cells --- myocardial infraction --- 3D printing --- 3D model --- bioprinting --- cardiovascular medicine --- heart --- myocardium --- heart valves --- vascular graft --- endothelialization --- tissue engineering --- decorin --- fibronectin --- electrospinning --- endothelial progenitor cells --- bioreactor --- biostable polyurethane --- MicroRNA --- Mir-133 --- coronary heart disease --- biomarker --- meta-analysis
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