We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App


ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.
23 Jan 2021 - 27 Jan 2021
Virtual Venue
24 Feb 2021 - 28 Feb 2021
Virtual Venue

Novel Method Developed to Estimate LDL Particle Size

By LabMedica International staff writers
Posted on 01 Apr 2020
Print article
Image: The high throughput immunochemistry cobas e 801 module (Photo courtesy of Roche Diagnostics).
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

Print article


Molecular Diagnostics

view channel
Image: Schematic representation of Chiari malformation type 1; it involves the lower part of the cerebellum known as tonsils, but not the brain stem (Photo courtesy of Healthline).

Common Brain Malformation Traced to Its Genetic Roots

About one in 100 children has a common brain disorder called Chiari 1 malformation, but most of the time such children grow up normally and no one suspects a problem. However about one in 10 of those children,... Read more


view channel
Image: uPath HER2 Dual ISH image analysis for breast cancer (Photo courtesy of Roche)

Roche Launches Digital Pathology Image Analysis Algorithms for Precision Patient Diagnosis in Breast Cancer

Roche (Basel, Switzerland) has announced the CE-IVD launch of its automated digital pathology algorithms, uPath HER2 (4B5) image analysis and uPath Dual ISH image analysis for breast cancer to help determine... Read more
Copyright © 2000-2021 Globetech Media. All rights reserved.