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A LIMA1 variant promotes low plasma LDL cholesterol and decreases intestinal cholesterol absorption

  • Ying-Yu Zhang
  • , Zhen-Yan Fu
  • , Jian Wei
  • , Wei Qi
  • , Gulinaer Baituola
  • , Jie Luo
  • , Ya-Jie Meng
  • , Shu-Yuan Guo
  • , Huiyong Yin
  • , Shi-You Jiang
  • , Yun-Feng Li
  • , Hong-Hua Miao
  • , Yong Liu
  • , Yan Wang
  • , Bo-Liang Li
  • , Yi-Tong Ma*
  • , Bao-Liang Song
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

A high concentration of low-density lipoprotein cholesterol (LDL-C) is a major risk factor for cardiovascular disease. Although LDL-C levels vary among humans and are heritable, the genetic factors affecting LDL-C are not fully characterized.We identified a rare frameshift variant in the LIMA1 (also known as EPLIN or SREBP3) gene from a Chinese family of Kazakh ethnicity with inherited low LDL-C and reduced cholesterol absorption. In a mouse model, LIMA1 was mainly expressed in the small intestine and localized on the brush border membrane. LIMA1 bridged NPC1L1, an essential protein for cholesterol absorption, to a transportation complex containing myosin Vb and facilitated cholesterol uptake. Similar to the human phenotype, Lima1-deficient mice displayed reduced cholesterol absorption and were resistant to diet-induced hypercholesterolemia. Through our study of both mice and humans, we identify LIMA1 as a key protein regulating intestinal cholesterol absorption. © 2018 American Association for the Advancement of Science. All rights reserved.
Original languageEnglish
Pages (from-to)1087-1092
JournalScience
Volume360
Issue number6393
DOIs
Publication statusPublished - 8 Jun 2018
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work was supported by grants from the MOST of China (2016YFA0500100), NNSF of China (31690102, 31430044, 81260041, 31771568, 31701030, 91754102, U1403221, and 31600651), Xinjiang Key Research and Development Project (2016B03053), Science and Technology Support Project of Xinjiang (2017E0269), 111 Project of Ministry of Education of China (B16036), and the Natural Science Foundation of Hubei Province (2016CFA012).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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