In the current grant cycle, we identified null mutations in a novel gene, Lpin1 (lipin), as the cause of lipodystrophy in the fatty liver dystrophy (fld) mouse. The fld mouse is a model of generalized lipodystrophy, with a lack of normal adipose tissue, insulin resistance, and susceptibility to atherosclerosis. We have established that lipin is abundantly expressed in adipose tissue and skeletal muscle. In the adipocyte, lipin is induced at two distinct time points-first, shortly after initiation of differentiation, acting upstream of the PPARgamma transcriptional regulator, and later, in mature adipocytes. The requirement for lipin in differentiation accounts for the lipodystrophy observed in lipin-deficient mice. Furthermore, transgenic mice with enhanced lipin expression specifically in mature adipocytes become obese, suggesting a specific role for lipin after differentiation. Lipin also has an important role in muscle. Using both lipin-deficient and lipin transgenic mice, we have demonstrated that lipin expression levels in muscle are a determinant of energy metabolism, with null expression causing increased energy expenditure, and enhanced expression causing reduced energy expenditure, leading to obesity. Thus, lipin is unique among known factors in its ability to cause the absolute extremes of adiposity-ranging from lipodystrophy to obesity-depending on its expression levels in peripheral tissues. The proposed studies seek to further elucidate the cellular and molecular functions of lipin in adipose tissue and muscle biology. These studies will also provide the first evaluation of genetic variation in human lipin gene structure and expression and its potential association with features of the metabolic syndrome. Using a combination of genetic, molecular, and biochemical approaches, we will address the following questions: (1) What is the role of lipin in differentiating and mature adipocytes?; (2) How do lipin levels in muscle modulate energy expenditure?; (3) What is the identity of lipin-protein interacting proteins?; and (4) Are variations in human lipin gene sequence or expression levels associated with clinical aspects of the metabolic syndrome?

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
2P01HL028481-21A1
Application #
7028167
Study Section
Heart, Lung, and Blood Initial Review Group (HLBP)
Project Start
2005-07-01
Project End
2010-01-31
Budget Start
2005-07-01
Budget End
2006-01-31
Support Year
21
Fiscal Year
2005
Total Cost
$425,951
Indirect Cost
Name
University of California Los Angeles
Department
Type
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Small, Kerrin S; Todor?evi?, Marijana; Civelek, Mete et al. (2018) Regulatory variants at KLF14 influence type 2 diabetes risk via a female-specific effect on adipocyte size and body composition. Nat Genet 50:572-580
Mangul, Serghei; Yang, Harry Taegyun; Strauli, Nicolas et al. (2018) ROP: dumpster diving in RNA-sequencing to find the source of 1 trillion reads across diverse adult human tissues. Genome Biol 19:36
Cantor, Rita; Navarro, Linda; Pan, Calvin (2018) Identifying fenofibrate responsive CpG sites. BMC Proc 12:43
Rahmani, Elior; Schweiger, Regev; Shenhav, Liat et al. (2018) BayesCCE: a Bayesian framework for estimating cell-type composition from DNA methylation without the need for methylation reference. Genome Biol 19:141
Goldberg, Ira J; Reue, Karen; Abumrad, Nada A et al. (2018) Deciphering the Role of Lipid Droplets in Cardiovascular Disease: A Report From the 2017 National Heart, Lung, and Blood Institute Workshop. Circulation 138:305-315
Hui, Simon T; Kurt, Zeyneb; Tuominen, Iina et al. (2018) The Genetic Architecture of Diet-Induced Hepatic Fibrosis in Mice. Hepatology 68:2182-2196
Kang, Eun Yong; Lee, Cue Hyunkyu; Furlotte, Nicholas A et al. (2018) An Association Mapping Framework To Account for Potential Sex Difference in Genetic Architectures. Genetics 209:685-698
Seldin, Marcus M; Koplev, Simon; Rajbhandari, Prashant et al. (2018) A Strategy for Discovery of Endocrine Interactions with Application to Whole-Body Metabolism. Cell Metab 27:1138-1155.e6
Lang, Jennifer M; Pan, Calvin; Cantor, Rita M et al. (2018) Impact of Individual Traits, Saturated Fat, and Protein Source on the Gut Microbiome. MBio 9:
Cherlin, Svetlana; Wang, Maggie Haitian; Bickeböller, Heike et al. (2018) Detecting responses to treatment with fenofibrate in pedigrees. BMC Genet 19:64

Showing the most recent 10 out of 518 publications