Lipoprotein lipase (LPL), and to some degree hepatic lipase (HL), have been associated with phenotypes comprising the metabolic syndrome, including insulin resistance, hypertension, obesity, elevated plasma triglyceride levels, and low HDL cholesterol concentrations. This Project will use multifaceted approaches to identify both cis- and trans-acting factors influencing lipase activity levels, and the association of these factors with the metabolic syndrome. The first two aims will identify proteins that assist nascent forms of LPL and HL to fold into fully functional enzymes, and assess the ability of these proteins to regulate lipase activity levels.
The third aim will determine mechanisms responsible for the interaction of LPL with its chief modulator of activity, apoC-ll, and the location of heparin binding sites that correctly orient LPL at the cell surface. The fourth specific aim will determine whether variation in the 3'-untranslated region of the LPL gene is responsible for the association of linked genetic markers with measures of insulin sensitivity.
The final aim will elucidate the role of selected candidate genes in controlling the levels of post-heparin LPL activity. Thus, this Project collectively investigates a constellation of diverse factors influencing lipase activity levels, a possible key determinant of many abnormalities underlying 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 #
7028146
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
$474,009
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