Heart disease is one of the major life-threatening diseases with high mortality and incidence worldwide. Several model systems, such as primary cells and animals, have been used to understand heart diseases and establish appropriate treatments. However, they have limitations in accuracy and reproducibility in recapitulating disease pathophysiology and evaluating drug responses. In recent years, three-dimensional (3D) cardiac tissue models produced using tissue engineering technology and human cells have outperformed conventional models. In particular, the integration of cell reprogramming techniques with bioengineering platforms (e.g., microfluidics, scaffolds, bioprinting, and biophysical stimuli) has facilitated the development of heart-ona- chip, cardiac spheroid/organoid, and engineered heart tissue (EHT) to recapitulate the structural and functional features of the native human heart. These cardiac models have improved heart disease modeling and toxicological evaluation. In this review, we summarize the cell types for the fabrication of cardiac tissue models, introduce diverse 3D human cardiac tissue models, and discuss the strategies to enhance their complexity and maturity. Finally, recent studies in the modeling of various heart diseases are reviewed. [BMB Reports 2023; 56(1): 32-42].
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http://dx.doi.org/10.5483/BMBRep.2022-0185 | DOI Listing |
Eur J Trauma Emerg Surg
January 2025
Department of Trauma and Orthopedic Surgery, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Background: Rib and sternum fractures are common injuries associated with cardiopulmonary resuscitation (CPR). The fracture mechanism is either direct by application of force on sternum and anterior ribs or indirect by bending through compression of the thorax. The aim of this study was to determine morphologies of rib fractures after CPR and to reevaluate prior findings on fracture localisation, type and degree of dislocation.
View Article and Find Full Text PDFRapid Commun Mass Spectrom
March 2025
Department of Cardiology, Xinjiang Traditional Chinese Medicine Hospital, Xinjiang, China.
Objective: This study aims to examine the changes in metabolic profiles in patients with patent foramen ovale (PFO) and migraine, as well as in patients with isolated migraine, before and after surgical intervention using metabolomics.
Methods: Patients were categorized into four groups: the simple migraine (SM) group, the PFO with migraine preoperative group (PRE), the PFO with migraine postoperative Day 3 group (POST_3d), and the PFO with migraine postoperative Day 30 group (POST_30d). Untargeted metabolomics using liquid chromatography-mass spectrometry (LC-MS) were employed to identify differential metabolites across these groups.
Clin Epigenetics
January 2025
Department of Ultrasound, The People's Hospital of China Medical University, The People's Hospital of Liaoning Province, 33 Wenyi Road, Shenhe District, Shenyang, 110067, People's Republic of China.
As an important element of the human body, iron participates in numerous physiological and biochemical reactions. In the past decade, ferroptosis (a form of iron-dependent regulated cell death) has been reported to contribute to the pathogenesis and progression of various diseases. The stability of iron in cardiomyocytes is crucial for the maintenance of normal physiological cardiac activity.
View Article and Find Full Text PDFJ Cardiothorac Surg
January 2025
Department of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Background: Continuous Positive Airway Pressure (CPAP) treatment brings more benefits than risks to most coronary heart disease (CHD) patients with obstructive sleep apnea (OSA). However, the pathophysiological mechanism by which CPAP treatment improves the prognosis of patients with CHD and OSA remains unclear. The purpose of this study was to clarify whether CPAP can improve arterial stiffness and inflammatory factor levels in CHD patients with OSA, and to further improve prognosis.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Department of Cardiology, The Second Hospital & Clinical Medical School, Lanzhou University, No. 82 Cuiyingmen, Lanzhou, 730000, China.
Objective: Constructing a predictive model for the occurrence of heart disease in elderly hypertensive individuals, aiming to provide early risk identification.
Methods: A total of 934 participants aged 60 and above from the China Health and Retirement Longitudinal Study with a 7-year follow-up (2011-2018) were included. Machine learning methods (logistic regression, XGBoost, DNN) were employed to build a model predicting heart disease risk in hypertensive patients.
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