Journal of Shanghai Jiao Tong University (Medical Science) ›› 2022, Vol. 42 ›› Issue (4): 482-489.doi: 10.3969/j.issn.1674-8115.2022.04.010

• Clinical research • Previous Articles     Next Articles

Analysis of lipoprotein subclasses of family with familial hypertriglyceridemia based on VAP method

HE Zhijie1(), HE Jinchun1,2(), ZHANG Yanpei1, WANG Yaodong1, WANG Zhanke3   

  1. 1.First School of Clinical Medicine, Lanzhou University, Lanzhou 730013, China
    2.Clinical Laboratory, First Hospital of Lanzhou University, Lanzhou 730013, China
    3.Ningbo Meikang Shengde Medical Laboratory, Ningbo 315105, China
  • Received:2021-12-27 Accepted:2022-04-10 Online:2022-04-28 Published:2022-04-28
  • Contact: HE Jinchun;
  • Supported by:
    National Science and Technology Major Project of the Ministry of Science and Technology of China during the“10th Five-Year Plan”(2002BA711A08-17);Natural Science Foundation of Gansu Province(1308RJZA218);Research Project of Gansu Provincial Administration of Traditional Chinese Medicine(GZK2017-50);Horizontally Commissioned Project of Gansu Drug Rehabilitation Administration(2014-02);Open Project of Gansu Provincial Key Laboratory of Functional Genomics and Molecular Diagnosis(2016-001)

Abstract: Objective

·To analyze the characteristics of lipoprotein subclasses of family members with familial hypertriglyceridemia (FHTG).


·A FHTG family with 13 members meeting the diagnostic criteria of the FHTG family was collected at the First Hospital of Lanzhou University. They were divided into the high triacylglycerol (TAG) group (7 persons) and the control group (6 persons) according to whether the level of TAG of the family members increased (≥2.26 mmol/L). Through the face-to-face investigation, age, gender, height, weight, body mass index (BMI), waist circumference, living habits and medical history and other general information of each member were collected. Based on the survey results, a family tree was drawn. After 8?12 h in abrosia, peripheral venous blood samples of the family members were collected for biochemical testing. The vertical auto profile (VAP) was used to determine the serum lipoprotein subclasses of the study subjects, including TAG, total cholesterol, low-density lipoprotein cholesterol (LDL-C), low-density lipoprotein (LDL), very low-density lipoprotein (VLDL), very low-density lipoprotein 3 (VLDL3), high-density lipoprotein cholesterol (HDL-C), high-density lipoprotein 2 (HDL2), high-density lipoprotein 3 (HDL3), intermediate-density lipoprotein, remnant-like lipoprotein particle, lipoprotein a and non-high-density lipoprotein. The LDL pattern was obtained by VAP method based on the analysis of LDL max time value. The vertical lipoprotein profile (VLP) was used to determine the serum low-density lipoprotein particle (LDL-P) of the study subjects. The levels of lipoprotein subclasses between the control group and the high TAG group were compared by independent sample t test.


·Compared with the control group, the high TAG group in FHTG pedigree had remarkably higher levels of height, weight, BMI and waist circumference (P=0.022, P=0.000, P=0.001, P=0.000). There was statistical significance in gender difference between the two groups (P=0.029), but there was no significant difference in age (P=0.561). Compared with the control group, the high TAG group had remarkably higher levels of TAG, VLDL, VLDL3 and LDL-P (P=0.003, P=0.033, P=0.020, P=0.043), and remarkably lower level of HDL-C, HDL2 and HDL3 (P=0.000, P=0.001, P=0.001). The LDL pattern in the high TAG group was small and dense, while the LDL pattern in the normal control group was mixed or large and sparse. There were no significant differences between other indicators.


·In addition to the TAG and HDL-C commonly used in clinical practice, VLDL, VLDL3, LDL-P, small and dense LDL, HDL2 and HDL3 are expected to become the indicators for FHTG diagnosis and treatment.

Key words: familial hypertriglyceridemia (FHTG), vertical auto profile (VAP), lipoprotein subclasses, triacylglycerol (TAG), cardiovascular disease

CLC Number: