Author
Listed:
- Tomokazu Konishi
- Risako Fujiwara
- Tadaaki Saito
- Nozomi Satou
- Yurie Hayashi
- Naoko Crofts
- Ikuko Iwasaki
- Yoshihisa Abe
- Shinpei Kawata
- Tatsuya Ishikawa
Abstract
This study presents the results of HPLC, a gentler and rapid separation method in comparison with the conventional ultracentrifugation, for 55 human serum samples. The elution patterns were analysed parametrically, and the attribute of each class was confirmed biochemically. Human samples contained 12 classes of lipoproteins, each of which may consist primarily of proteins. There are three classes of VLDLs. The level of each class was distributed lognormally, and the standard amount and the 95% range were estimated. Some lipoprotein classes with a narrow range could become ideal indicators of specific diseases. This lognormal character suggests that the levels are controlled by the synergy of multiple factors; multiple undesirable lifestyle habits may drastically increase the levels of specific lipoprotein classes. Lipoproteins in medical samples have been measured by enzymatic methods that coincide with conventional ultracentrifugation; however, the high gravity and time required for ultracentrifugation can cause sample degradation. Actually, the enzymatic methods measured the levels of several mixed classes. The targets of enzymatic methods have to be revised.
Suggested Citation
Tomokazu Konishi & Risako Fujiwara & Tadaaki Saito & Nozomi Satou & Yurie Hayashi & Naoko Crofts & Ikuko Iwasaki & Yoshihisa Abe & Shinpei Kawata & Tatsuya Ishikawa, 2022.
"Human lipoproteins comprise at least 12 different classes that are lognormally distributed,"
PLOS ONE, Public Library of Science, vol. 17(11), pages 1-13, November.
Handle:
RePEc:plo:pone00:0275066
DOI: 10.1371/journal.pone.0275066
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0275066. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.