First-Of-Its-Kind Integrated Heart Mapping to Prevent Damage Caused By Heart Attack
By LabMedica International staff writers Posted on 01 Jul 2024 |

During and after a heart attack, the heart's muscles suffer damage leading to the formation of scar tissue known as cardiac fibrosis. This scar tissue lacks the flexibility and contractility of healthy heart muscle, and its permanent presence can impair the heart's pumping ability, potentially resulting in heart failure. Cardiac fibrosis is associated with all forms of heart disease, including those resulting from the overloading of the heart due to high blood pressure. Despite substantial investment in research seeking treatments to manage cardiac fibrosis, these efforts have largely been unsuccessful. There is a pressing need for innovative treatments that could halt or even reverse cardiac fibrosis, offering hope to millions affected. Scientists have now developed a first-of-its-kind integrated map of heart cells that sheds light on the process of cardiac fibrosis and could aid in preventing damage following a heart attack.
This breakthrough achieved by researchers at the Victor Chang Cardiac Research Institute (Darlinghurst, NSW, Australia) marks a significant advancement in understanding cardiac fibrosis and paving the way for the development of targeted medications to prevent scarring after a heart attack. The research team examined RNA signatures from one hundred thousand single cells, focusing on those implicated in fibrosis. By integrating data from various leading studies across multiple heart disease states, they were able to create a comprehensive cellular map of a mouse heart model, identifying cells and pathways involved in fibrosis. The study identified a variety of cell types including resting cells, activated cells, inflammatory populations, progenitor cells, dividing cells, and specialized cells known as myofibroblasts and matrifibrocytes. Notably, the researchers found that myofibroblasts, which are the key drivers of scarring and are not found in healthy hearts, begin to appear three days post-heart attack in mice, peaking at day five, before transitioning into matrifibrocytes, which may prevent the resolution of the scar.
The study, published in Science Advances, also examined other heart disease models that simulate heart failure induced by elevated internal blood pressures, such as those caused by aortic stenosis or hypertension. Interestingly, the progression of fibrosis showed remarkable similarities across these different heart disease conditions. Like in post-heart attack scenarios, myofibroblasts were prominently present early in the course of hypertension and later transformed into matrifibrocytes. While the study utilized data from both mouse models and human subjects, it acknowledged that in humans, heart failure can evolve over decades, necessitating further exploration to precisely define the cell types and timing of these processes in human patients. Additionally, the researchers developed the CardiacFibroAtlas, an online tool that enables global researchers to visualize and study gene behavior in heart attacks and related cardiovascular conditions.
“Fibrosis is an essential part of the body’s way of healing. But in the heart, if the disease triggers are not resolved, the process can go too far, causing scarring that is incredibly harmful to heart function and a major cause of heart failure,” said Professor Richard Harvey, who led the study. “For the first time, using revolutionary technology that enables us to analyze gene expression in single cells, we have been able to map out the progressive cell states involved in cardiac fibrosis and how these cells evolve day by day."
Related Links:
Victor Chang Cardiac Research Institute
Latest Pathology News
- Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
- New Error-Corrected Method to Help Detect Cancer from Blood Samples Alone
- "Metal Detector" Algorithm Hunts Down Vulnerable Tumors
- Novel Technique Uses ‘Sugar’ Signatures to Identify and Classify Pancreatic Cancer Cell Subtypes
- Advanced Imaging Reveals Mechanisms Causing Autoimmune Disease
- AI Model Effectively Predicts Patient Outcomes in Common Lung Cancer Type
- AI Model Predicts Patient Response to Bladder Cancer Treatment
- New Laser-Based Method to Accelerate Cancer Diagnosis
- New AI Model Predicts Gene Variants’ Effects on Specific Diseases
- Powerful AI Tool Diagnoses Coeliac Disease from Biopsy Images with Over 97% Accuracy
- Pre-Analytical Conditions Influence Cell-Free MicroRNA Stability in Blood Plasma Samples
- 3D Cell Culture System Could Revolutionize Cancer Diagnostics
- Painless Technique Measures Glucose Concentrations in Solution and Tissue Via Sound Waves
- Skin-Based Test to Improve Diagnosis of Rare, Debilitating Neurodegenerative Disease
- Serum Uromodulin Could Indicate Acute Kidney Injury in COVID-19 Patients
- AI Model Reveals True Biological Age From Five Drops of Blood
Channels
Clinical Chemistry
view channel
Low-Cost Portable Screening Test to Transform Kidney Disease Detection
Millions of individuals suffer from kidney disease, which often remains undiagnosed until it has reached a critical stage. This silent epidemic not only diminishes the quality of life for those affected... Read more
New Method Uses Pulsed Infrared Light to Find Cancer's 'Fingerprints' In Blood Plasma
Cancer diagnoses have traditionally relied on invasive or time-consuming procedures like tissue biopsies. Now, new research published in ACS Central Science introduces a method that utilizes pulsed infrared... Read moreMolecular Diagnostics
view channel
Novel Autoantibody Against DAGLA Discovered in Cerebellitis
Autoimmune cerebellar ataxias are strongly disabling disorders characterized by an impaired ability to coordinate muscle movement. Cerebellar autoantibodies serve as useful biomarkers to support rapid... Read more
Gene-Based Blood Test Accurately Predicts Tumor Recurrence of Advanced Skin Cancer
Melanoma, an aggressive form of skin cancer, becomes extremely difficult to treat once it spreads to other parts of the body. For patients with metastatic melanoma tumors that cannot be surgically removed... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
Handheld Device Delivers Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read moreTechnology
view channel
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more
Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
Viruses present a major global health risk, as demonstrated by recent pandemics, making early detection and identification essential for preventing new outbreaks. While traditional detection methods are... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more