Open AccessFasting Lipoprotein Lipase Protein Levels Can Predict a Postmeal Increment of Triglyceride Levels in Fasting Normohypertriglyceridemic Subjects
Author(s) -
Tsuzaki Kokoro,
Kotani Kazuhiko,
Yamada Kazunori,
Sakane Naoki
Publication year - 2016
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.21869
Subject(s) - postprandial , medicine , triglyceride , endocrinology , lipoprotein lipase , meal , area under the curve , population , lipoprotein , hepatic lipase , chemistry , cholesterol , insulin , adipose tissue , environmental health
Background Although a postprandial increment in triglyceride (TG) levels is considered to be a risk factor for atherogenesis, tests (e.g., fat load) to assess postprandial changes in TG levels cannot be easily applied to clinical practice. Therefore, fasting markers that predict postprandial TG states are needed to be developed. One current candidate is lipoprotein lipase (LPL) protein, a molecule that hydrides TGs. This study investigated whether fasting LPL levels could predict postprandial TG levels. Methods A total of 17 subjects (11 men, 6 women, mean age 52 ± 11 years) with normotriglyceridemia during fasting underwent the meal test. Several fasting parameters, including LPL, were measured for the area under the curve of postprandial TGs (AUC‐TG). Results The subjects’ mean fasting TG level was 1.30 mmol/l, and their mean LPL level was 41.6 ng/ml. The subjects’ TG levels increased after loading (they peaked after two postprandial hours). Stepwise multiple regression analysis demonstrated that fasting TG levels were a predictor of the AUC‐TG. In addition, fasting LPL mass levels were found to be a predictor of the AUC‐TG (β = 0.65, P < 0.01), and this relationship was independent of fasting TG levels. Conclusion Fasting LPL levels may be useful to predict postprandial TG increment in this population.