Lipid storage is critical for metabolic homeostasis, and influences components ofthe metabolic syndrome, including visceral obesity, insulin resistance, and dyslipidemia. The objectives are to further elucidate the function of lipin-1 in lipid synthesis, storage, and lipid signaling in adipose tissue and muscle, and to identify novel genes that influence adipose tissue mass and function. Our previous studies demonstrated that lipin-1 is a determinant of adipose tissue development, insulin sensitivity, and energy metabolism. Lipin-I is a phosphatidate phosphatase (PAP) enzyme that converts phosphatidate to diacylglyerol, and accounts for all PAP activity in adipose tissue and muscle. In addition, it is a transcriptional coactivator that influences expression of lipid metabolism genes in liver.
The specific aims are: (1) Determine how lipin-1 modulation of phosphatidate levels regulates adipogenesis and influences insulin sensitivity in skeletal muscle. In the absence of lipin-1, phosphatidate accumulates in tissues, which may activate signal transduction pathways and/or alter mitochondrial or ER membrane properties. We hypothesize that phosphatidate levels determined by lipin-1 influence expression of PPARgamma and adipocyte differentiation, and insulin sensitivity in muscle. We will investigate how dysregulation of lipin-1 and phosphatidate levels contribute to altered metabolism in adipose tissue, muscle, and liver. (2) Evaluate the role of lipin-1 in statin-induced myotoxicity. Human LPINI nonsense mutations cause childhood myopathy, and missense mutations have been associated with statin-induced myopathy. We will test the hypothesis that impaired lipin-1 activity and statin action interact to impair mitochondrial function. We will functionally characterize mutant lipin-1 proteins, evaluate effects of lipin-1 deficiency on statin-induced myotoxicity in the mouse, and evaluate a cohort of subjects with statin-induced myopathy for LPINI mutations. (3) Identify and characterize the molecular function of novel adiposity genes. We hypothesize that genetic variations that alter adiposity in vivo will reveal novel genes in adipose tissue function. We will investigate the function of 7 candidate genes identified by network modeling in the mouse for roles in adipocyte function using in vitro and in vivo methods.

Public Health Relevance

The regulation of fat storage is a key determinant of conditions associated with human disease, including obesity, diabetes, and heart disease. A better understanding ofthe genes and processes involved may contribute to the design of therapeutic intervention.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
5P01HL028481-29
Application #
8502728
Study Section
Heart, Lung, and Blood Initial Review Group (HLBP)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
29
Fiscal Year
2013
Total Cost
$410,609
Indirect Cost
$143,980
Name
University of California Los Angeles
Department
Type
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Freund, Malika Kumar; Burch, Kathryn S; Shi, Huwenbo et al. (2018) Phenotype-Specific Enrichment of Mendelian Disorder Genes near GWAS Regions across 62 Complex Traits. Am J Hum Genet 103:535-552
Pan, David Z; Garske, Kristina M; Alvarez, Marcus et al. (2018) Integration of human adipocyte chromosomal interactions with adipose gene expression prioritizes obesity-related genes from GWAS. Nat Commun 9:1512
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

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