Novel Method Developed to Estimate LDL Particle Size
|
By LabMedica International staff writers Posted on 01 Apr 2020 |

Image: The high throughput immunochemistry cobas e 801 module (Photo courtesy of Roche Diagnostics).
Premature atherosclerotic disease commonly occurs in individuals with atherogenic dyslipidemia who share a phenotype characterized by centripetal obesity, insulin resistance, and physical inactivity. Cardiovascular diseases (CVD) are the leading cause of mortality in the Western World being subclinical atherosclerosis the triggering factor for most of these events.
The reduction in the incidence of cardiovascular events requires the early detection of cardiovascular risk factors (CVRFs), such as low‐density lipoprotein cholesterol (LDL‐C) concentration, nowadays the most important therapeutic target. However, it has been demonstrated that lowering LDL‐C concentration is not enough to prevent all ischemic events even in patients without CVRFs.
Medical scientists at the Bellvitge University Hospital (Barcelona, Spain) and their colleagues included in their study 85 patients who were 19 to 75‐year‐old male non‐smokers. Each patient had their biochemical profiles assessed. A complete lipid profile for each patient was also attained including plasma concentrations of cholesterol, very low‐density lipoprotein cholesterol (VLDL‐C), intermediate‐density lipoprotein cholesterol (IDL‐C), triglycerides (Tg), LDL‐C, high‐density lipoprotein cholesterol (HDL‐C), apolipoprotein A (ApoA‐I), apolipoprotein B (ApoB), apolipoprotein E (ApoE), apolipoprotein CIII (ApoCIII), and lipoprotein A (LPA). In addition, atherogenic indices were calculated using the following formula: IA = LDL‐C/HDL‐C. LDL size (LDL‐Z) and LDL-particles (LDL‐P) and small dense LDL (sdLDL‐C) were also measured.
Supernatant HDL‐C and total cholesterol were measured using a Cobas 8000 modular analyzer (Roche Diagnostics, Risch-Rotkreuz, Switzerland). Cholesterol concentration was determined enzymatically using cholesterol esterase and cholesterol oxidase in the Roche diagnostics Cobas 701. Since supernatant only contained HDL and sdLDL particles, the sdLDL‐C was calculated by subtracting the HDL‐C from the total cholesterol concentration. The nuclear magnetic resonance (NMR) analyses were carried out with the Vantera analyzer (LipoScience, Inc, Morrisville, NC, USA).
The investigators reported that regarding the relation between sdLDL‐C concentration variation and LDL‐Z, they found that an increase in the diameter of LDL particles implies a decrease in sdLDL‐C concentration. Importantly, taking into account the multivariate regression, an increment of 1 nm in LDL size leads to a 126 nmol/L reduction in sdLDL‐C concentration. As a consequence, smaller LDL particles contain a higher concentration of cholesterol. Due to its composition, smaller LDL particles would support the formation and progression of the atheroma plaques in higher degree than larger ones.
The authors concluded that the association between sdLDL‐C, LDL‐Z, and LDL‐P was clear. From a large number of variables, especially LDL‐Z and apoB influence on sdLDL‐C. The results showed that the smaller the LDL size, the higher their cholesterol concentration. Therefore, sdLDL‐C determination by using this easy method would be useful to risk stratification and to uncover cardiovascular residual risk. The study was published on March 21, 2020 in the Journal of Clinical Laboratory Analysis.
Related Links:
Bellvitge University Hospital
Roche Diagnostics
LipoScience
The reduction in the incidence of cardiovascular events requires the early detection of cardiovascular risk factors (CVRFs), such as low‐density lipoprotein cholesterol (LDL‐C) concentration, nowadays the most important therapeutic target. However, it has been demonstrated that lowering LDL‐C concentration is not enough to prevent all ischemic events even in patients without CVRFs.
Medical scientists at the Bellvitge University Hospital (Barcelona, Spain) and their colleagues included in their study 85 patients who were 19 to 75‐year‐old male non‐smokers. Each patient had their biochemical profiles assessed. A complete lipid profile for each patient was also attained including plasma concentrations of cholesterol, very low‐density lipoprotein cholesterol (VLDL‐C), intermediate‐density lipoprotein cholesterol (IDL‐C), triglycerides (Tg), LDL‐C, high‐density lipoprotein cholesterol (HDL‐C), apolipoprotein A (ApoA‐I), apolipoprotein B (ApoB), apolipoprotein E (ApoE), apolipoprotein CIII (ApoCIII), and lipoprotein A (LPA). In addition, atherogenic indices were calculated using the following formula: IA = LDL‐C/HDL‐C. LDL size (LDL‐Z) and LDL-particles (LDL‐P) and small dense LDL (sdLDL‐C) were also measured.
Supernatant HDL‐C and total cholesterol were measured using a Cobas 8000 modular analyzer (Roche Diagnostics, Risch-Rotkreuz, Switzerland). Cholesterol concentration was determined enzymatically using cholesterol esterase and cholesterol oxidase in the Roche diagnostics Cobas 701. Since supernatant only contained HDL and sdLDL particles, the sdLDL‐C was calculated by subtracting the HDL‐C from the total cholesterol concentration. The nuclear magnetic resonance (NMR) analyses were carried out with the Vantera analyzer (LipoScience, Inc, Morrisville, NC, USA).
The investigators reported that regarding the relation between sdLDL‐C concentration variation and LDL‐Z, they found that an increase in the diameter of LDL particles implies a decrease in sdLDL‐C concentration. Importantly, taking into account the multivariate regression, an increment of 1 nm in LDL size leads to a 126 nmol/L reduction in sdLDL‐C concentration. As a consequence, smaller LDL particles contain a higher concentration of cholesterol. Due to its composition, smaller LDL particles would support the formation and progression of the atheroma plaques in higher degree than larger ones.
The authors concluded that the association between sdLDL‐C, LDL‐Z, and LDL‐P was clear. From a large number of variables, especially LDL‐Z and apoB influence on sdLDL‐C. The results showed that the smaller the LDL size, the higher their cholesterol concentration. Therefore, sdLDL‐C determination by using this easy method would be useful to risk stratification and to uncover cardiovascular residual risk. The study was published on March 21, 2020 in the Journal of Clinical Laboratory Analysis.
Related Links:
Bellvitge University Hospital
Roche Diagnostics
LipoScience
Latest Technology News
- Artificial Intelligence Model Could Accelerate Rare Disease Diagnosis
- AI Saliva Sensor Enables Early Detection of Head and Neck Cancer
- AI-Powered Biosensor Technology to Enable Breath Test for Lung Cancer Detection
- AI Model Achieves Breakthrough Accuracy in Ovarian Cancer Detection
- Portable Biosensor Diagnoses Psychiatric Disorders Using Saliva Samples
- Cell-Sorting Device Uses Electromagnetic Levitation to Precisely Direct Cell Movement

- Embedded GPU Platform Enables Rapid Blood Profiling for POC Diagnostics
- Viral Biosensor Test Simultaneously Detects Hepatitis and HIV
- Acoustofluidic Device to Transform Point-Of-Care sEV-Based Diagnostics
- AI Algorithm Assesses Progressive Decline in Kidney Function
Channels
Molecular Diagnostics
view channel
Simple Urine Test to Revolutionize Bladder Cancer Diagnosis and Treatment
Bladder cancer is one of the most common and deadly urological cancers and is marked by a high rate of recurrence. Diagnosis and follow-up still rely heavily on invasive cystoscopy or urine cytology, which... Read more
Blood Test to Enable Earlier and Simpler Detection of Liver Fibrosis
Persistent liver damage caused by alcohol misuse or viral infections can trigger liver fibrosis, a condition in which healthy tissue is gradually replaced by collagen fibers. Even after successful treatment... Read moreHematology
view channel
Platelet Activity Blood Test in Middle Age Could Identify Early Alzheimer’s Risk
Early detection of Alzheimer’s disease remains one of the biggest unmet needs in neurology, particularly because the biological changes underlying the disorder begin decades before memory symptoms appear.... Read more
Microvesicles Measurement Could Detect Vascular Injury in Sickle Cell Disease Patients
Assessing disease severity in sickle cell disease (SCD) remains challenging, especially when trying to predict hemolysis, vascular injury, and risk of complications such as vaso-occlusive crises.... Read more
ADLM’s New Coagulation Testing Guidance to Improve Care for Patients on Blood Thinners
Direct oral anticoagulants (DOACs) are one of the most common types of blood thinners. Patients take them to prevent a host of complications that could arise from blood clotting, including stroke, deep... Read moreImmunology
view channel
New Test Distinguishes Vaccine-Induced False Positives from Active HIV Infection
Since HIV was identified in 1983, more than 91 million people have contracted the virus, and over 44 million have died from related causes. Today, nearly 40 million individuals worldwide live with HIV-1,... Read more
Gene Signature Test Predicts Response to Key Breast Cancer Treatment
DK4/6 inhibitors paired with hormone therapy have become a cornerstone treatment for advanced HR+/HER2– breast cancer, slowing tumor growth by blocking key proteins that drive cell division.... Read more
Chip Captures Cancer Cells from Blood to Help Select Right Breast Cancer Treatment
Ductal carcinoma in situ (DCIS) accounts for about a quarter of all breast cancer cases and generally carries a good prognosis. This non-invasive form of the disease may or may not become life-threatening.... Read moreMicrobiology
view channel
Rapid Diagnostic Test Matches Gold Standard for Sepsis Detection
Sepsis kills 11 million people worldwide every year and generates massive healthcare costs. In the USA and Europe alone, sepsis accounts for USD 100 billion in annual hospitalization expenses.... Read moreRapid POC Tuberculosis Test Provides Results Within 15 Minutes
Tuberculosis remains one of the world’s deadliest infectious diseases, and reducing new cases depends on identifying individuals with latent infection before it progresses. Current diagnostic tools often... Read more
Rapid Assay Identifies Bloodstream Infection Pathogens Directly from Patient Samples
Bloodstream infections in sepsis progress quickly and demand rapid, precise diagnosis. Current blood-culture methods often take one to five days to identify the pathogen, leaving clinicians to treat blindly... Read morePathology
view channel
Tunable Cell-Sorting Device Holds Potential for Multiple Biomedical Applications
Isolating rare cancer cells from blood is essential for diagnosing metastasis and guiding treatment decisions, but remains technically challenging. Many existing techniques struggle to balance accuracy,... Read moreAI Tool Outperforms Doctors in Spotting Blood Cell Abnormalities
Diagnosing blood disorders depends on recognizing subtle abnormalities in cell size, shape, and structure, yet this process is slow, subjective, and requires years of expert training. Even specialists... Read moreTechnology
view channel
Artificial Intelligence Model Could Accelerate Rare Disease Diagnosis
Identifying which genetic variants actually cause disease remains one of the biggest challenges in genomic medicine. Each person carries tens of thousands of DNA changes, yet only a few meaningfully alter... Read more
AI Saliva Sensor Enables Early Detection of Head and Neck Cancer
Early detection of head and neck cancer remains difficult because the disease produces few or no symptoms in its earliest stages, and lesions often lie deep within the head or neck, where biopsy or endoscopy... Read moreIndustry
view channel
Abbott Acquires Cancer-Screening Company Exact Sciences
Abbott (Abbott Park, IL, USA) has entered into a definitive agreement to acquire Exact Sciences (Madison, WI, USA), enabling it to enter and lead in fast-growing cancer diagnostics segments.... Read more








