During the last 5 years, remarkable progress has been made in understanding the molecular machinery of lipid metabolism in health and disease. This progress provides the tools to now identify genetic factors which influence the development of atherosclerosis and the molecular mechanisms by which this influence is exerted. Using a multidisciplinary approach, we will not focus on a wide variety of candidate genes which play roles in lipid transport, including structural genes coding for the apo lipoproteins and the enzymes, and the regulatory genes which determine plasma lipid levels and response to dietary challenge. Fundamental information essential for understanding molecular mechanisms will be provided by a detailed molecular, genetic and physiologic characterization of tow enzymes which play key roles in lipid transport catabolism, lipoprotein lipase and hepatic lipase. Both enzymes were successfully cloned during the previous grant period. Also we will continue efforts to understand at a fundamental level how apo lipoprotein B is related to the packaging of triglycerides to form the VLDL and chylomicrons. Project I will focus on the genetic polymorphism of human apo B, attempting to classify the various human allotypes, to examine how these affect lipid metabolism, and to construct a comprehensive model. Projects II and VI will explore the structure, function and regulation of lipoprotein lipase and hepatic lipase. Project III will employ the mouse model to identify genes regulating plasma lipid levels and their response to dietary challenge, while Project IV will attempt to identify the corresponding human genes, and their actual involvement in human atherosclerosis. Project IV will focus on molecular mechanisms, especially those involving apo B, utilized in the formation of the triglyceride-rich lipoproteins. The researchers involved in this program provide the necessary expertise in molecular biology, human and mouse genetics, molecular genetics, immunochemistry, biochemistry, biophysics, enzymology, molecular physiology and medicine.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
5P01HL028481-09
Application #
3098026
Study Section
Heart, Lung, and Blood Research Review Committee B (HLBB)
Project Start
1984-07-01
Project End
1993-06-30
Budget Start
1991-07-19
Budget End
1992-06-30
Support Year
9
Fiscal Year
1991
Total Cost
Indirect Cost
Name
University of California Los Angeles
Department
Type
Schools of Arts and Sciences
DUNS #
119132785
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Miao, Zong; Alvarez, Marcus; Pajukanta, Päivi et al. (2018) ASElux: an ultra-fast and accurate allelic reads counter. Bioinformatics 34:1313-1320
Kurt, Zeyneb; Barrere-Cain, Rio; LaGuardia, Jonnby et al. (2018) Tissue-specific pathways and networks underlying sexual dimorphism in non-alcoholic fatty liver disease. Biol Sex Differ 9:46
Orozco, Luz D; Farrell, Colin; Hale, Christopher et al. (2018) Epigenome-wide association in adipose tissue from the METSIM cohort. Hum Mol Genet 27:1830-1846
Chella Krishnan, Karthickeyan; Kurt, Zeyneb; Barrere-Cain, Rio et al. (2018) Integration of Multi-omics Data from Mouse Diversity Panel Highlights Mitochondrial Dysfunction in Non-alcoholic Fatty Liver Disease. Cell Syst 6:103-115.e7
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

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