Two Important Cardiovascular Disease Risk Factors Operate Independently
By LabMedica International staff writers Posted on 02 Mar 2022 |

Determination of blood levels of the cholesterol-rich biomarker lipoprotein(a) [Lp(a)] and the coronary artery calcium (CAC) score are independently associated with risk of developing coronary artery disease and may be useful concurrently for guiding therapy approaches to prevent its occurrence .
Lp(a) consists of a low density lipoprotein-like particle and the specific apolipoprotein(a), which is bound covalently to the apolipoprotein B contained in the outer shell of the particle. Lp(a) plasma concentrations are highly heritable and mainly controlled by the LPA gene located on chromosome 6q26-27. High Lp(a) in blood correlates with coronary heart disease (CHD) and cardiovascular disease (CVD).
A coronary CT calcium scan is a computed tomography (CT) scan of the heart for the assessment of severity of coronary artery disease. Specifically, it looks for calcium deposits in the coronary arteries that can narrow arteries and increase the risk of heart attack. This severity is presented as the coronary artery calcium (CAC) score. The CAC score is an independent marker of risk for cardiac events, cardiac mortality, and all-cause mortality. In addition, it provides additional prognostic information to other cardiovascular risk markers.
While it has been recognized that elevated Lp(a) and CAC score are individually associated with increased atherosclerotic cardiovascular disease (ASCVD) risk, the two markers have not been studied in combination. To rectify this situation investigators at the University of Texas Southwestern Medical Center (Dallas, USA) measured plasma Lp(a) and CAC at enrollment among asymptomatic participants of the MESA (Multi-Ethnic Study of Atherosclerosis) (n = 4,512) and DHS (Dallas Heart Study) (n = 2,078) cohorts. The Dallas Heart Study, an ongoing comprehensive study of diverse and heart-healthy patients, while the MESA is 6,000-participant study investigating early-stage atherosclerosis.
Results enabled identification of three distinct risk-related trends. Individuals with both elevated levels of Lp(a) and a high CAC score had the highest 10-year risk of heart attack or stroke. Those with elevated Lp(a) but with a CAC score of zero had a low 10-year heart attack and stroke risk. Finally, those with low Lp(a) but with a high CAC score had 10-year heart attack or stroke risk higher than average but lower than with high LP(a) and high CAC combined.
"We are hopeful that by making the connection between Lp(a) and CAC as dual risk drivers, we can raise awareness in the medical community and improve earlier heart attack prevention for these patients," said senior author Dr. Parag Joshi, associate professor of internal medicine at the University of Texas Southwestern Medical Center. "Our data may also expedite the development of treatments designed specifically for this high-risk population. Establishing the connection between Lp(a) and CAC means we can move to the important next phase of research, which will be defining and personalizing early screening protocols to identify patients at high risk of heart attack. With further research, this could mean selectively scanning patients with high Lp(a) for their CAC score, and studying therapies specifically designed to reduce Lp(a) among patients with high CAC."
The study was published in the March 1, 2022, issue of the Journal of the American College of Cardiology.
Related Links:
University of Texas Southwestern Medical Center
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
‘Brilliantly Luminous’ Nanoscale Chemical Tool to Improve Disease Detection
Thousands of commercially available glowing molecules known as fluorophores are commonly used in medical imaging, disease detection, biomarker tagging, and chemical analysis. They are also integral in... Read more
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 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 morePathology
view channel
Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
Cell therapy holds great potential in treating diseases such as cancers, inflammatory conditions, and chronic degenerative disorders by manipulating or replacing cells to restore function or combat disease.... Read more
New Error-Corrected Method to Help Detect Cancer from Blood Samples Alone
"Liquid biopsy" technology, which relies on blood tests for early cancer detection and monitoring cancer burden in patients, has the potential to transform cancer care. However, detecting the mutational... Read more
"Metal Detector" Algorithm Hunts Down Vulnerable Tumors
Scientists have developed an algorithm capable of functioning as a "metal detector" to identify vulnerable tumors, marking a significant advancement in personalized cancer treatment. This breakthrough... Read more
Novel Technique Uses ‘Sugar’ Signatures to Identify and Classify Pancreatic Cancer Cell Subtypes
Pancreatic cancer is often asymptomatic in its early stages, making it difficult to detect until it has progressed. Consequently, only 15% of pancreatic cancers are diagnosed early enough to allow for... Read moreTechnology
view channel
Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples
As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more
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