Correlation Engine 2.0
Clear Search sequence regions


Sizes of these terms reflect their relevance to your search.

Existing methods to measure high-density lipoprotein cholesterol (HDL-C) subclasses (HDL2-C and HDL3-C) are complex and require proficiency, and thus there is a need for a convenient, homogeneous assay to determine HDL-C subclasses in serum. Here, cholesterol reactivities in lipoprotein fractions [HDL2, HDL3, low-density lipoprotein (LDL), and very-low-density lipoprotein (VLDL)] toward polyethylene glycol (PEG)-modified enzymes were determined in the presence of varying concentrations of dextran sulfate and magnesium nitrate. Particle sizes formed in the lipoprotein fractions were measured by dynamic light scattering. We optimized the concentrations of dextran sulfate and magnesium nitrate before assay with PEG-modified enzymes to provide selectivity for HDL3-C. On addition of dextran sulfate and magnesium nitrate, the sizes of particles of HDL2, LDL, and VLDL increased, but the size of HDL3 fraction particles remained constant, allowing only HDL3-C to participate in coupled reactions with the PEG-modified enzymes. In serum from both healthy volunteers and patients with type 2 diabetes, a good correlation was observed between the proposed assay and ultracentrifugation in the determination of HDL-C subclasses. The assay proposed here enables convenient and accurate determination of HDL-C subclasses in serum on a general automatic analyzer and enables low-cost routine diagnosis without preprocessing. Copyright © 2020 Elsevier Inc. All rights reserved.

Citation

Kazumi Matsushima-Nagata, Hiroyuki Sugiuchi, Kensaku Anraku, Takako Takao, Yuki Kondo, Yoichi Ishitsuka, Mitsuru Irikura, Tetsumi Irie, Takeshi Matsumura, Eiichi Araki, Mizuki Sumida, Yuki Katayama, Norihiko Kayahara. A homogeneous assay to determine high-density lipoprotein subclass cholesterol in serum. Analytical biochemistry. 2021 Jan 15;613:114019

Expand section icon Mesh Tags

Expand section icon Substances


PMID: 33189705

View Full Text