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Wang L, Sinnott-Armstrong N, Wagschal A, Wark AR, Camporez JP, Perry RJ, Ji F, Sohn Y, Oh J, Wu S, Chery J, Moud BN, Saadat A, Dankel SN, Mellgren G, Tallapragada DSP, Strobel SM, Lee MJ, Tewhey R, Sabeti PC, Schaefer A, Petri A, Kauppinen S, Chung RT, Soukas A, Avruch J, Fried SK, Hauner H, Sadreyev RI, Shulman GI, Claussnitzer M, Näär AM. A MicroRNA Linking Human Positive Selection and Metabolic Disorders. Cell 2020; 183:684-701.e14. [PMID: 33058756 PMCID: PMC8092355 DOI: 10.1016/j.cell.2020.09.017] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 05/08/2020] [Accepted: 09/03/2020] [Indexed: 01/09/2023]
Abstract
Positive selection in Europeans at the 2q21.3 locus harboring the lactase gene has been attributed to selection for the ability of adults to digest milk to survive famine in ancient times. However, the 2q21.3 locus is also associated with obesity and type 2 diabetes in humans, raising the possibility that additional genetic elements in the locus may have contributed to evolutionary adaptation to famine by promoting energy storage, but which now confer susceptibility to metabolic diseases. We show here that the miR-128-1 microRNA, located at the center of the positively selected locus, represents a crucial metabolic regulator in mammals. Antisense targeting and genetic ablation of miR-128-1 in mouse metabolic disease models result in increased energy expenditure and amelioration of high-fat-diet-induced obesity and markedly improved glucose tolerance. A thrifty phenotype connected to miR-128-1-dependent energy storage may link ancient adaptation to famine and modern metabolic maladaptation associated with nutritional overabundance.
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Affiliation(s)
- Lifeng Wang
- Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA,Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA,These authors contributed equally,Present address: Cardiovascular & Metabolism, Janssen Pharmaceutical Companies of Johnson & Johnson, Spring House, PA 19477, USA
| | - Nasa Sinnott-Armstrong
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA,These authors contributed equally
| | - Alexandre Wagschal
- Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA,Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA,Present address: Vertex Pharmaceuticals, Watertown, MA 02472, USA
| | - Abigail R. Wark
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Joao-Paulo Camporez
- Departments of Internal Medicine and Cellular & Molecular Physiology, Yale School of Medicine, New Haven, CT 06510, USA,Present address: Ribeirao Preto School of Medicine, University of Sao Paulo, Sao Paulo 14049-90, Brazil
| | - Rachel J. Perry
- Departments of Internal Medicine and Cellular & Molecular Physiology, Yale School of Medicine, New Haven, CT 06510, USA
| | - Fei Ji
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Yoojin Sohn
- Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA,Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA,Present address: Vanderbilt University, Nashville, TN 37235, USA
| | - Justin Oh
- Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA,Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA,Present address: Vertex Pharmaceuticals, Watertown, MA 02472, USA
| | - Su Wu
- Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA,Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA,Present address: Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Jessica Chery
- Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA,Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA,Present address: Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Bahareh Nemati Moud
- Else Kroener-Fresenius-Center of Nutritional Medicine, School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
| | - Alham Saadat
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Simon N. Dankel
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway,Hormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, 5020 Bergen, Norway
| | - Gunnar Mellgren
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway,Hormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, 5020 Bergen, Norway
| | - Divya Sri Priyanka Tallapragada
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway,Hormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, 5020 Bergen, Norway
| | - Sophie Madlen Strobel
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, 80992 Munich, Germany
| | - Mi-Jeong Lee
- Obesity Center, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA,Present address: Department of Human Nutrition, Food and Animal Sciences, University of Hawaii, Honolulu, HI 96822, USA
| | - Ryan Tewhey
- Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA,Present address: The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | - Pardis C. Sabeti
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Anne Schaefer
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School ofMedicine atMount Sinai, New York, New York 10029, USA
| | - Andreas Petri
- Center for RNA Medicine, Department of Clinical Medicine, Aalborg University, 2450 Copenhagen, Denmark
| | - Sakari Kauppinen
- Center for RNA Medicine, Department of Clinical Medicine, Aalborg University, 2450 Copenhagen, Denmark
| | - Raymond T. Chung
- Liver Center, Gastrointestinal Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Alexander Soukas
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Medicine, Center for Genomic Medicine and Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA,Department of Medicine, Harvard Medical School, Boston, MA 02114, USA
| | - Joseph Avruch
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA,Department of Medicine, Harvard Medical School, Boston, MA 02114, USA,Diabetes unit, Medical Services, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Susan K. Fried
- Obesity Center, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA,Present address: Diabetes, Obesity and Metabolism Institute, Mt. Sinai School of Medicine, New York, NY 10029, USA
| | - Hans Hauner
- Else Kroener-Fresenius-Center of Nutritional Medicine, School of Life Sciences, Technical University of Munich, 85354 Freising, Germany,Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, 80992 Munich, Germany
| | - Ruslan I. Sadreyev
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Gerald I. Shulman
- Departments of Internal Medicine and Cellular & Molecular Physiology, Yale School of Medicine, New Haven, CT 06510, USA
| | - Melina Claussnitzer
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Anders M. Näär
- Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA,Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA,Present address: Department of Nutritional Sciences & Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA,Lead Contact,Correspondence: https://doi.org/10.1016/j.cell.2020.09.017
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2
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Lu X. Structure and Function of Angiopoietin-like Protein 3 (ANGPTL3) in Atherosclerosis. Curr Med Chem 2020; 27:5159-5174. [PMID: 31223079 DOI: 10.2174/0929867326666190621120523] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 04/24/2019] [Accepted: 04/30/2019] [Indexed: 02/08/2023]
Abstract
BACKGROUND Angiopoietin-Like Proteins (ANGPTLs) are structurally related to the angiopoietins. A total of eight ANGPTLs (from ANGPTL1 to ANGPTL8) have been identified so far. Most ANGPTLs possess multibiological functions on lipid metabolism, atherosclerosis, and cancer. Among them, ANGPTL3 has been shown to regulate the levels of Very Low-Density Lipoprotein (VLDL) made by the liver and play a crucial role in human lipoprotein metabolism. METHOD A systematic appraisal of ANGPTLs was conducted, focusing on the main features of ANGPTL3 that has a significant role in atherosclerosis. RESULTS Angiopoietins including ANGPTL3 are vascular growth factors that are highly specific for endothelial cells, perform a variety of other regulatory activities to influence inflammation, and have been shown to possess both pro-atherosclerotic and atheroprotective effects. CONCLUSION ANGPTL3 has been demonstrated as a promising target in the pharmacological management of atherosclerosis. However, many questions remain about its biological functions.
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Affiliation(s)
- Xinjie Lu
- The Mary and Garry Weston Molecular Immunology Laboratory, Thrombosis Research Institute, London SW3 6LR, England, United Kingdom
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3
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Abstract
PURPOSE OF REVIEW Residual cardiovascular disease risk and increasing metabolic syndrome risk underscores a need for novel therapeutics targeting lipid metabolism in humans. Unbiased human genetic screens have proven powerful in identifying novel genomic loci, and this review discusses recent developments in such discovery. RECENT FINDINGS Recent human genome-wide association studies have been completed in incredibly large, detailed cohorts, allowing for the identification of more than 300 genomic loci that participate in the regulation of plasma lipid metabolism. However, the discovery of these loci has greatly outpaced the elucidation of the underlying functional mechanisms. The identification of novel roles for long noncoding RNAs, such as CHROME, LeXis, and MeXis, in lipid metabolism suggests that noncoding RNAs should be included in the functional translation of GWAS loci. SUMMARY Unbiased genetic studies appear to have unearthed a great deal of novel biology with respect to lipid metabolism, yet translation of these findings into actionable mechanisms has been slow. Increased focus on the translation, rather than the discovery, of these loci, with new attention paid to lncRNAs, can help spur the development of novel therapeutics targeting lipid metabolism.
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Affiliation(s)
- Elizabeth E. Ha
- Cardiometabolic Genomics Program, Division of Cardiology, Department of
Medicine, Columbia University, New York, NY, 10032
| | - Andrew G. Van Camp
- Cardiometabolic Genomics Program, Division of Cardiology, Department of
Medicine, Columbia University, New York, NY, 10032
| | - Robert C. Bauer
- Cardiometabolic Genomics Program, Division of Cardiology, Department of
Medicine, Columbia University, New York, NY, 10032
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4
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Jiang Y, Tang S, Wang C, Wang Y, Qin Y, Wang Y, Zhang J, Song H, Mi S, Yu F, Xiao W, Zhang Q, Ding X. A genome-wide association study of growth and fatness traits in two pig populations with different genetic backgrounds. J Anim Sci 2018. [PMID: 29528397 DOI: 10.1093/jas/skx038] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Improvement in growth and fatness traits are the main objectives in pig all breeding programs. Tenth rib backfat thickness (10RIBBFT) and days to 100 kg (D100), which are good predictors of carcass lean content and growth rate, respectively, are economically important traits and also main breeding target traits in pigs. To investigate the genetic mechanisms of 10RIBBFT and D100 of pigs, we sampled 1,137 and 888 pigs from 2 Yorkshire populations of American and British origin, respectively, and conducted genome-wide association study (GWAS) through combined analysis and meta-analysis, to identify SNPs associated with 10RIBBFT and D100. A total of 11 and 7 significant SNPs were identified by combined analysis for 10RIBBFT and D100, respectively. And in meta-analysis, 8 and 7 significant SNPs were identified for 10RIBBFT and D100, respectively. Among them, 6 and 5 common significant SNPs in two analysis results were, respectively, identified associated with 10RIBBFT and D100, and correspondingly explained 2.09% and 0.52% of the additive genetic variance of 10RIBBFT and D100. Further bioinformatics analysis revealed 10 genes harboring or close to these common significant SNPs, 5 for 10RIBBFT and 5 for D100. In particular, Gene Ontology analysis highlighted 6 genes, PCK1, ANGPTL3, EEF1A2, TNFAIP8L3, PITX2, and PLA2G12, as promising candidate genes relevant with backfat thickness and growth. PCK1, ANGPTL3, EEF1A2, and TNFAIP8L3 could influence backfat thickness through phospholipid transport, regulation of lipid metabolic process through the glycerophospholipid biosynthesis and metabolism pathway, the metabolism of lipids and lipoproteins pathway. PITX2 has a crucial role in skeletal muscle tissue development and animal organ morphogenesis, and PLA2G12A plays a role in the lipid catabolic and phospholipid catabolic processes, which both are involved in the body weight pathway. All these candidate genes could directly or indirectly influence fat production and growth in Yorkshire pigs. Our findings provide novel insights into the genetic basis of growth and fatness traits in pigs. The candidate genes for D100 and 10RIBBFT are worthy of further investigation.
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Affiliation(s)
- Y Jiang
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - S Tang
- Beijing Station of Animal Husbandry, Beijing, P.R. China
| | - C Wang
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Y Wang
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Y Qin
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Y Wang
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - J Zhang
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - H Song
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - S Mi
- Beijing LM Pig Breeding Technology Co., Ltd., Beijing, P.R. China
| | - F Yu
- Beijing Shunxin Agricultural Co., Ltd., Beijing, P.R. China
| | - W Xiao
- Beijing Station of Animal Husbandry, Beijing, P.R. China
| | - Q Zhang
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - X Ding
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
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5
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Xu YX, Redon V, Yu H, Querbes W, Pirruccello J, Liebow A, Deik A, Trindade K, Wang X, Musunuru K, Clish CB, Cowan C, Fizgerald K, Rader D, Kathiresan S. Role of angiopoietin-like 3 (ANGPTL3) in regulating plasma level of low-density lipoprotein cholesterol. Atherosclerosis 2017; 268:196-206. [PMID: 29183623 DOI: 10.1016/j.atherosclerosis.2017.08.031] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Revised: 08/02/2017] [Accepted: 08/30/2017] [Indexed: 10/18/2022]
Abstract
BACKGROUND AND AIMS Angiopoietin-like 3 (ANGPTL3) has emerged as a key regulator of lipoprotein metabolism in humans. Homozygous loss of ANGPTL3 function causes familial combined hypolipidemia characterized by low plasma levels of triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C). While known effects of ANGPTL3 in inhibiting lipoprotein lipase and endothelial lipase contribute to the low TG and HDL-C, respectively, the basis of low LDL-C remains unclear. Our aim was to explore the role of ANGPTL3 in modulating plasma LDL-C. METHODS We performed RNAi-mediated gene silencing of ANGPTL3 in five mouse models and in human hepatoma cells. We validated results by deleting ANGPTL3 gene using the CRISPR/Cas9 genome editing system. RESULTS RNAi-mediated Angptl3 silencing in mouse livers resulted in very low TG, HDL-C and LDL-C, a pattern similar to the human phenotype. The effect was observed in wild-type and obese mice, while in hCETP/apolipoprotein (Apo) B-100 double transgenic mice, the silencing decreased LDL-C and TG, but not HDL-C. In a humanized mouse model (Apobec1-/- carrying human ApoB-100 transgene) deficient in the LDL receptor (LDLR), Angptl3 silencing had minimum effect on LDL-C, suggesting the effect being linked to LDLR. This observation is supported by an additive effect on LDL-C between ANGPTL3 and PCSK9 siRNAs. ANGPTL3 gene deletion induced cellular long-chain TG and ApoB-100 accumulation with elevated LDLR and LDLR-related protein (LRP) 1 expression. Consistent with this, ANGPTL3 deficiency by gene deletion or silencing reduced nascent ApoB-100 secretion and increased LDL/VLDL uptake. CONCLUSIONS Reduced secretion and increased uptake of ApoB-containing lipoproteins may contribute to the low LDL-C observed in mice and humans with genetic ANGPTL3 deficiency.
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Affiliation(s)
- Yu-Xin Xu
- Center for Genomic Medicine and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Valeska Redon
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, 11-125 Translational Research Center, 3400 Civic Center Blvd, Building 421, Philadelphia, PA 19104-5158, USA
| | - Haojie Yu
- Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA
| | - William Querbes
- Alnylam Pharmaceuticals, 300 Third Street, 3rd Floor, Cambridge, MA 02142, USA
| | - James Pirruccello
- Center for Genomic Medicine and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Abigail Liebow
- Alnylam Pharmaceuticals, 300 Third Street, 3rd Floor, Cambridge, MA 02142, USA
| | - Amy Deik
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Kevin Trindade
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, 11-125 Translational Research Center, 3400 Civic Center Blvd, Building 421, Philadelphia, PA 19104-5158, USA
| | - Xiao Wang
- Cardiovascular Institute, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, USA
| | - Kiran Musunuru
- Cardiovascular Institute, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, USA
| | - Clary B Clish
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Chad Cowan
- Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA; Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Kevin Fizgerald
- Alnylam Pharmaceuticals, 300 Third Street, 3rd Floor, Cambridge, MA 02142, USA
| | - Daniel Rader
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, 11-125 Translational Research Center, 3400 Civic Center Blvd, Building 421, Philadelphia, PA 19104-5158, USA
| | - Sekar Kathiresan
- Center for Genomic Medicine and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA.
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6
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Januchowski R, Sterzyńska K, Zawierucha P, Ruciński M, Świerczewska M, Partyka M, Bednarek-Rajewska K, Brązert M, Nowicki M, Zabel M, Klejewski A. Microarray-based detection and expression analysis of new genes associated with drug resistance in ovarian cancer cell lines. Oncotarget 2017; 8:49944-49958. [PMID: 28611294 PMCID: PMC5564819 DOI: 10.18632/oncotarget.18278] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 04/24/2017] [Indexed: 12/24/2022] Open
Abstract
PURPOSE The present study is to discover a new genes associated with drug resistance development in ovarian cancer. METHODS We used microarray analysis to determine alterations in the level of expression of genes in cisplatin- (CisPt), doxorubicin- (Dox), topotecan- (Top), and paclitaxel- (Pac) resistant variants of W1 and A2780 ovarian cancer cell lines. Immunohistochemistry assay was used to determine protein expression in ovarian cancer patients. RESULTS We observed alterations in the expression of 22 genes that were common to all three cell lines that were resistant to the same cytostatic drug. The level of expression of 13 genes was upregulated and that of nine genes was downregulated. In the CisPt-resistant cell line, we observed downregulated expression of ABCC6, BST2, ERAP2 and MCTP1; in the Pac-resistant cell line, we observe upregulated expression of ABCB1, EPHA7 and RUNDC3B and downregulated expression of LIPG, MCTP1, NSBP1, PCDH9, PTPRK and SEMA3A. The expression levels of three genes, ABCB1, ABCB4 and IFI16, were upregulated in the Dox-resistant cell lines. In the Top-resistant cell lines, we observed increased expression levels of ABCG2, HERC5, IFIH1, MYOT, S100A3, SAMD4A, SPP1 and TGFBI and decreased expression levels of MCTP1 and PTPRK. The expression of EPHA7, IFI16, SPP1 and TGFBI was confirmed at protein level in analyzed ovarian cancer patients.. CONCLUSIONS The expression profiles of the investigated cell lines indicated that new candidate genes are related to the development of resistance to the cytostatic drugs that are used in first- and second-line chemotherapy of ovarian cancer.
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Affiliation(s)
- Radosław Januchowski
- Department of Histology and Embryology, Poznań University of Medical Sciences, Poznań, 60-781, Poland
| | - Karolina Sterzyńska
- Department of Histology and Embryology, Poznań University of Medical Sciences, Poznań, 60-781, Poland
| | - Piotr Zawierucha
- Department of Histology and Embryology, Poznań University of Medical Sciences, Poznań, 60-781, Poland
- Department of Anatomy, Poznań University of Medical Sciences, Poznań, 60-781, Poland
| | - Marcin Ruciński
- Department of Histology and Embryology, Poznań University of Medical Sciences, Poznań, 60-781, Poland
| | - Monika Świerczewska
- Department of Histology and Embryology, Poznań University of Medical Sciences, Poznań, 60-781, Poland
| | - Małgorzata Partyka
- Department of Histology and Embryology, Poznań University of Medical Sciences, Poznań, 60-781, Poland
| | | | - Maciej Brązert
- Division of Infertility and Reproductive Endocrinology, Department of Gynecology, Obstetrics and Gynecological Oncology, Poznań University of Medical Sciences, Poznań, 60-535, Poland
| | - Michał Nowicki
- Department of Histology and Embryology, Poznań University of Medical Sciences, Poznań, 60-781, Poland
| | - Maciej Zabel
- Department of Histology and Embryology, Poznań University of Medical Sciences, Poznań, 60-781, Poland
- Department of Histology and Embryology, Wrocław Medical University, Wrocław, 50-368, Poland
| | - Andrzej Klejewski
- Department of Nursing, Poznań University of Medical Sciences, Poznań, 60-179, Poland
- Departament of Obstetrics and Womens Dieseases, Poznań University of Medical Sciences, Poznań, 60-535, Poland
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7
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Schwarzova L, Hubacek JA, Vrablik M. Genetic predisposition of human plasma triglyceride concentrations. Physiol Res 2016; 64:S341-54. [PMID: 26680667 DOI: 10.33549/physiolres.933197] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The issue of plasma triglyceride levels relative to the risk of development of cardiovascular disease, as well as overall mortality, has been actively discussed for many years. Like other cardiovascular disease risk factors, final plasma TG values have environmental influences (primarily dietary habits, physical activity, and smoking), and a genetic predisposition. Rare mutations (mainly in the lipoprotein lipase and apolipoprotein C2) along with common polymorphisms (within apolipoprotein A5, glucokinase regulatory protein, apolipoprotein B, apolipo-protein E, cAMP responsive element binding protein 3-like 3, glycosylphosphatidylinositol-anchored HDL-binding protein 1) play an important role in determining plasma TG levels.
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Affiliation(s)
- L Schwarzova
- Third Department of Internal Medicine, First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic.
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8
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Abstract
The protein tribbles-1, encoded by the gene TRIB1, is increasingly recognized as a major regulator of multiple cellular and physiological processes in humans. Recent human genetic studies, as well as molecular biological approaches, have implicated this intriguing protein in the aetiology of multiple human diseases, including myeloid leukaemia, Crohn's disease, non-alcoholic fatty liver disease (NAFLD), dyslipidaemia and coronary artery disease (CAD). Genome-wide association studies (GWAS) have repeatedly identified variants at the genomic TRIB1 locus as being significantly associated with multiple plasma lipid traits and cardiovascular disease (CVD) in humans. The involvement of TRIB1 in hepatic lipid metabolism has been validated through viral-mediated hepatic overexpression of the gene in mice; increasing levels of TRIB1 decreased plasma lipids in a dose-dependent manner. Additional studies have implicated TRIB1 in the regulation of hepatic lipogenesis and NAFLD. The exact mechanisms of TRIB1 regulation of both plasma lipids and hepatic lipogenesis remain undetermined, although multiple signalling pathways and transcription factors have been implicated in tribbles-1 function. Recent reports have been aimed at developing TRIB1-based lipid therapeutics. In summary, tribbles-1 is an important modulator of human energy metabolism and metabolic syndromes and worthy of future studies aimed at investigating its potential as a therapeutic target.
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9
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Ghosh S, Vivar J, Nelson CP, Willenborg C, Segrè AV, Mäkinen VP, Nikpay M, Erdmann J, Blankenberg S, O'Donnell C, März W, Laaksonen R, Stewart AFR, Epstein SE, Shah SH, Granger CB, Hazen SL, Kathiresan S, Reilly MP, Yang X, Quertermous T, Samani NJ, Schunkert H, Assimes TL, McPherson R. Systems Genetics Analysis of Genome-Wide Association Study Reveals Novel Associations Between Key Biological Processes and Coronary Artery Disease. Arterioscler Thromb Vasc Biol 2015; 35:1712-22. [PMID: 25977570 DOI: 10.1161/atvbaha.115.305513] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Accepted: 04/28/2015] [Indexed: 01/05/2023]
Abstract
OBJECTIVE Genome-wide association studies have identified multiple genetic variants affecting the risk of coronary artery disease (CAD). However, individually these explain only a small fraction of the heritability of CAD and for most, the causal biological mechanisms remain unclear. We sought to obtain further insights into potential causal processes of CAD by integrating large-scale GWA data with expertly curated databases of core human pathways and functional networks. APPROACHES AND RESULTS Using pathways (gene sets) from Reactome, we carried out a 2-stage gene set enrichment analysis strategy. From a meta-analyzed discovery cohort of 7 CAD genome-wide association study data sets (9889 cases/11 089 controls), nominally significant gene sets were tested for replication in a meta-analysis of 9 additional studies (15 502 cases/55 730 controls) from the Coronary ARtery DIsease Genome wide Replication and Meta-analysis (CARDIoGRAM) Consortium. A total of 32 of 639 Reactome pathways tested showed convincing association with CAD (replication P<0.05). These pathways resided in 9 of 21 core biological processes represented in Reactome, and included pathways relevant to extracellular matrix (ECM) integrity, innate immunity, axon guidance, and signaling by PDRF (platelet-derived growth factor), NOTCH, and the transforming growth factor-β/SMAD receptor complex. Many of these pathways had strengths of association comparable to those observed in lipid transport pathways. Network analysis of unique genes within the replicated pathways further revealed several interconnected functional and topologically interacting modules representing novel associations (eg, semaphoring-regulated axonal guidance pathway) besides confirming known processes (lipid metabolism). The connectivity in the observed networks was statistically significant compared with random networks (P<0.001). Network centrality analysis (degree and betweenness) further identified genes (eg, NCAM1, FYN, FURIN, etc) likely to play critical roles in the maintenance and functioning of several of the replicated pathways. CONCLUSIONS These findings provide novel insights into how genetic variation, interpreted in the context of biological processes and functional interactions among genes, may help define the genetic architecture of CAD.
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10
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Khetarpal SA, Rader DJ. Genetics of lipid traits: Genome-wide approaches yield new biology and clues to causality in coronary artery disease. Biochim Biophys Acta Mol Basis Dis 2014; 1842:2010-2020. [PMID: 24931102 DOI: 10.1016/j.bbadis.2014.06.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2014] [Revised: 05/29/2014] [Accepted: 06/03/2014] [Indexed: 10/25/2022]
Abstract
A wealth of novel lipid loci have been identified through a variety of approaches focused on common and low-frequency variation and collaborative metaanalyses in multiethnic populations. Despite progress in identification of loci, the task of determining causal variants remains challenging. This work will undoubtedly be enhanced by improved understanding of regulatory DNA at a genomewide level as well as new methodologies for interrogating the relationships between noncoding SNPs and regulatory regions. Equally challenging is the identification of causal genes at novel loci. Some progress has been made for a handful of genes and comprehensive testing of candidate genes using multiple model systems is underway. Additional insights will be gleaned from focusing on low frequency and rare coding variation at candidate loci in large populations. This article is part of a Special Issue entitled: From Genome to Function.
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Affiliation(s)
| | - Daniel J Rader
- Perelman School of Medicine, University of Pennsylvania, USA.
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11
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Arca M, Minicocci I, Maranghi M. The angiopoietin-like protein 3: a hepatokine with expanding role in metabolism. Curr Opin Lipidol 2013; 24:313-20. [PMID: 23839332 DOI: 10.1097/mol.0b013e3283630cf0] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW Cumulating evidence are revealing roles of angiopoietin-like proteins (ANGPTLs) in lipid, glucose, and energy metabolism. In this review, we discuss the recent developments in understanding the specific role in metabolic processes of the liver-derived ANGPTL3. RECENT FINDINGS Several groups have reported clinical and metabolic characterization of individuals with loss-of-function variants in ANGPTL3 showing familial combined hypolipidemia, a syndrome characterized by marked reduction of all plasma lipoproteins. Their findings indicate that in humans, ANGPTL3 has a broader action on apoB and apoA-I-containing lipoproteins, as well as on free fatty acid and adipose tissue metabolism. SUMMARY The identification of loss-of-function ANGPTL3 mutation is shedding light on a possible role of ANGPTL3 at the crossroads of lipoproteins, fatty acids, and glucose metabolism, thus making ANGPTL3 an attractive protein to target the cardio-metabolic risk.
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Affiliation(s)
- Marcello Arca
- Dipartimento di Medicina, Interna e Specialità Mediche Sapienza Università di Roma, Rome, Italy.
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12
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Cohen JC. Emerging LDL therapies: Using human genetics to discover new therapeutic targets for plasma lipids. J Clin Lipidol 2013; 7:S1-5. [PMID: 23642322 DOI: 10.1016/j.jacl.2013.03.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2012] [Revised: 03/18/2013] [Accepted: 03/18/2013] [Indexed: 11/25/2022]
Abstract
In humans, genetic variation occurs through different types of alleles that vary in frequency and severity of effect. Mendelian mutations, such as those in the low-density lipoprotein (LDL) receptor (LDLR) that result in familial hypercholesterolemia, are rare and have powerful phenotypic effects. Conversely, alleles that are common in the population (such that homozygotes for the minor allele are present even in modest sample sizes) typically have very modest phenotypic effects. In the middle of the spectrum are "Goldilocks" alleles such as mutations in the gene for proprotein convertase subtilisin/kexin type 9 (PCSK9). Loss-of-function mutations in PCSK9 result in significantly decreased LDL-cholesterol levels and a disproportionately large reduction in coronary heart disease risk by reducing the exposure to LDL-cholesterol throughout life. Several agents to inhibit PCSK9 are currently in development, demonstrating the potential utility of translating genetics into clinical therapeutics. To date, most investigations aimed at identifying the genes responsible for hypercholesterolemia have used linkage analysis, which requires samples collected from multiple families with defects in the same gene, or common variant analysis which requires thousands of samples from the population. However, case studies have shown that with advances in whole genome sequencing or exome sequencing (targeted exome capture), the process of discovering causal genetic mutations can be significantly streamlined. Astute clinical observation of individual patients and their families with atypical lipid profiles, followed by sequencing of the affected individual, has the potential to lead to important findings regarding the genetic mutations that cause lipid abnormalities.
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Affiliation(s)
- Jonathan C Cohen
- Center for Human Nutrition, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA.
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13
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Vickers KC, Sethupathy P, Baran-Gale J, Remaley AT. Complexity of microRNA function and the role of isomiRs in lipid homeostasis. J Lipid Res 2013; 54:1182-91. [PMID: 23505317 DOI: 10.1194/jlr.r034801] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
MicroRNAs (miRNAs) are key posttranscriptional regulators of biological pathways that govern lipid metabolic phenotypes. Recent advances in high-throughput small RNA sequencing technology have revealed the complex and dynamic repertoire of miRNAs. Specifically, it has been demonstrated that a single genomic locus can give rise to multiple, functionally distinct miRNA isoforms (isomiR). There are several mechanisms by which isomiRs can be generated, including processing heterogeneity and posttranscriptional modifications, such as RNA editing, exonuclease-mediated nucleotide trimming, and/or nontemplated nucleotide addition (NTA). NTAs are dominant at the 3'-end of a miRNA, are most commonly uridylation or adenlyation events, and are catalyzed by one or more of several nucleotidyl transferase enzymes. 3' NTAs can affect miRNA stability and/or activity and are physiologically regulated, whereas modifications to the 5'-ends of miRNAs likely alter miRNA targeting activity. Recent evidence also suggests that the biogenesis of specific miRNAs, or small RNAs that act as miRNAs, can occur through unconventional mechanisms that circumvent key canonical miRNA processing steps. The unveiling of miRNA diversity has significantly added to our view of the complexity of miRNA function. In this review we present the current understanding of the biological relevance of isomiRs and their potential role in regulating lipid metabolism.
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Affiliation(s)
- Kasey C Vickers
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
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14
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Calandra S, Tarugi P, Averna M, Bertolini S. Familial combined hypolipidemia due to mutations in the ANGPTL3 gene. ACTA ACUST UNITED AC 2013. [DOI: 10.2217/clp.12.92] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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15
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Basu D, Lei X, Josekutty J, Hussain MM, Jin W. Measurement of the phospholipase activity of endothelial lipase in mouse plasma. J Lipid Res 2012; 54:282-9. [PMID: 23103358 DOI: 10.1194/jlr.d031112] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Endothelial lipase (EL) is a major negative regulator of plasma HDL levels in mice, rabbits, and most probably, humans. Although this regulatory function is critically dependent on EL's hydrolysis of HDL phospholipids, as yet there is no phospholipase assay specific for EL in plasma. We developed such an assay for the mouse enzyme using a commercially available phospholipid-like fluorescent substrate in combination with an EL neutralizing antibody. The specificity of the assay was established using EL knockout mice and its utility demonstrated by detection of an increase in plasma EL phospholipase activity following exposure of wild-type mice to lipopolysaccharide. The assay revealed that murine pre-heparin plasma does not contain measurable EL activity, indicating that the hydrolysis of HDL phospholipids by EL in vivo likely occurs on the cell surface.
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Affiliation(s)
- Debapriya Basu
- Department of Cell Biology, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA
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16
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Tietjen I, Hovingh GK, Singaraja RR, Radomski C, Barhdadi A, McEwen J, Chan E, Mattice M, Legendre A, Franchini PL, Dubé MP, Kastelein JJP, Hayden MR. Segregation of LIPG, CETP, and GALNT2 mutations in Caucasian families with extremely high HDL cholesterol. PLoS One 2012; 7:e37437. [PMID: 22952570 PMCID: PMC3428317 DOI: 10.1371/journal.pone.0037437] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2012] [Accepted: 04/23/2012] [Indexed: 11/28/2022] Open
Abstract
To date, few mutations are described to underlie highly-elevated HDLc levels in families. Here we sequenced the coding regions and adjacent sequence of the LIPG, CETP, and GALNT2 genes in 171 unrelated Dutch Caucasian probands with HDLc≥90th percentile and analyzed segregation of mutations with lipid phenotypes in family members. In these probands, mutations were most frequent in LIPG (12.9%) followed by GALNT2 (2.3%) and CETP (0.6%). A total of 6 of 10 mutations in these three genes were novel (60.0%), and mutations segregated with elevated HDLc in families. Interestingly, the LIPG mutations N396S and R476W, which usually result in elevated HDLc, were unexpectedly found in 6 probands with low HDLc (i.e., ≤10th percentile). However, 5 of these probands also carried mutations in ABCA1, LCAT, or LPL. Finally, no CETP and GALNT2 mutations were found in 136 unrelated probands with low HDLc. Taken together, we show that rare coding and splicing mutations in LIPG, CETP, and GALNT2 are enriched in persons with hyperalphalipoproteinemia and segregate with elevated HDLc in families. Moreover, LIPG mutations do not overcome low HDLc in individuals with ABCA1 and possibly LCAT and LPL mutations, indicating that LIPG affects HDLc levels downstream of these proteins.
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Affiliation(s)
| | - G. Kees Hovingh
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Roshni R. Singaraja
- Xenon Pharmaceuticals Inc., Burnaby, Canada
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, Canada
| | | | | | | | - Elden Chan
- Xenon Pharmaceuticals Inc., Burnaby, Canada
| | | | | | | | | | - John J. P. Kastelein
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Michael R. Hayden
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, Canada
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17
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Connelly MA, D'Andrea MR, Qi J, Dzordzorme KC, Damiano BP. Endothelial lipase is localized to follicular epithelial cells in the thyroid gland and is moderately expressed in adipocytes. J Histochem Cytochem 2012; 60:694-705. [PMID: 22740344 DOI: 10.1369/0022155412454110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Endothelial lipase (EL), a member of the triglyceride lipase gene family, has been shown to be a key player in HDL metabolism. Northern blots revealed that EL was highly expressed in endothelium, thyroid, lung, placenta, liver, and testis. In liver and adrenal gland, EL protein was localized with vascular endothelial cells but not parenchymal cells. EL was shown to be upregulated in tissues such as atherosclerotic plaque where it was located in macrophages, endothelial cells, and medial smooth muscle cells. The purpose of this study was to investigate the cellular localization of EL in thyroid and other tissues where EL is known to be expressed. Besides its presence in vascular endothelial and smooth muscle cells, EL protein was detected in the epithelial cells that line the follicles within the thyroid gland. EL-specific immunostaining was also found near the cell surface as well as in the cytoplasm of adipocytes. Using immunoblots, EL expression was confirmed in cultured human omental and subcutaneous adipocytes. EL expression, however, was not found in preadipocytes. These findings suggest that EL plays a role in thyroid and adipocyte biology in addition to its well-known role in endothelial function and HDL metabolism.
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Affiliation(s)
- Margery A Connelly
- Janssen Research and Development, Janssen Pharmaceutical Companies of Johnson and Johnson, Spring House, PA 19477, USA
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18
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Current world literature. Curr Opin Cardiol 2012; 27:441-54. [PMID: 22678411 DOI: 10.1097/hco.0b013e3283558773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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19
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Current World Literature. Curr Opin Cardiol 2012; 27:318-26. [DOI: 10.1097/hco.0b013e328352dfaf] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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20
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Abstract
PURPOSE OF REVIEW To discuss if and how the combined analysis of large-scale datasets from multiple independent sources benefits the mapping of novel genetic elements with relevance to lipoprotein metabolism and allows for conclusions on underlying molecular mechanisms. RECENT FINDINGS Genome-wide association studies (GWAS) have identified numerous genomic loci associated with plasma lipid levels and cardiovascular disease. Yet, despite being highly successful in mapping novel loci the GWAS approach falls short to systematically extract functional information from genomic data. With the aim to complement GWAS for a better insight into disease mechanisms and identification of the most promising targets for drug development, a number of high-throughput functional genomics strategies have now been applied. These include computational approaches, consideration of gene-gene and gene-environment interactions, as well as unbiased gene-expression analyses in relevant tissues. For a limited number of loci, mechanistic insight has been gained through in-vitro and in-vivo studies by knockdown and overexpression of candidate genes. SUMMARY The integration of GWAS data with existing functional genomics strategies has contributed to ascertain the relevance of a number of novel factors for lipoprotein biology and disease. However, technologies are warranted that provide a more systematic insight into the molecular function and pathogenic relevance of promising candidate genes.
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Affiliation(s)
- Heiko Runz
- Institute of Human Genetics, University of Heidelberg, Heidelberg, Germany.
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21
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Young EH, Papamarkou T, Wainwright NWJ, Sandhu MS. Genetic determinants of lipid homeostasis. Best Pract Res Clin Endocrinol Metab 2012; 26:203-9. [PMID: 22498249 DOI: 10.1016/j.beem.2011.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Circulating levels of blood lipids are heritable risk factors for atherosclerosis and heart disease, and are the target of therapeutic intervention. Studies of monogenic disorders and - more recently - genome-wide association studies have identified several important genetic determinants of blood lipid levels. These have the potential to provide new drug targets to alter blood lipid levels and may improve prediction of cardiovascular disease. Better functional validation of lipid loci is required to clarify the biological role of proteins encoded by specific genomic regions and understand how they influence lipid metabolism and confer disease risk.
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Affiliation(s)
- Elizabeth H Young
- Genetic Epidemiology Group, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
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22
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Abstract
PURPOSE OF REVIEW We review the main findings from genome-wide association studies (GWAS) for levels of HDL-cholesterol, LDL-cholesterol and triglycerides, including approaches to identify the functional variant(s) or gene(s). We discuss study design and challenges related to whole genome or exome sequencing to identify novel genes and variants. RECENT FINDINGS GWAS have detected approximately 100 loci associated with one or more lipid trait. Fine mapping of several loci for LDL-cholesterol demonstrated that the trait variance explained may double when the functional variants responsible for the association signals are identified. Experimental follow-up of three loci identified by GWAS has identified functional genes GALNT2, TRIB1, and SORT1, and a functional variant at SORT1. SUMMARY The goal of genetic studies for lipid levels is to improve treatment and ultimately reduce the prevalence of heart disease. Many signals identified by GWAS have modest effect sizes, useful for identifying novel biologically relevant genes, but less useful for personalized medicine. Whole genome or exome sequencing studies may fill this gap by identifying rare variants of larger effect associated with lipid levels and heart disease.
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Affiliation(s)
- Cristen J Willer
- Division of Cardiovascular Medicine, Departments of Internal Medicine and Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
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23
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Current world literature. Curr Opin Lipidol 2012; 23:156-63. [PMID: 22418573 DOI: 10.1097/mol.0b013e3283521229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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24
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Abstract
PURPOSE OF REVIEW The success of high throughput sequencing programmes, including the Human Genome Project led to the 'identification' of a large number of novel genes of completely unknown function. Since then, many of these genes have been subject to functional studies focussed on uncovering their biological importance. Recent advances in genome-wide screening of DNA sequence variants as well as focussed genetic studies identified a number of candidate loci contributing to the development of complex diseases, including those affecting lipid homeostasis. An excellent example for the convergence of genetics and experimental biology is the tribbles gene family which was among those identified both in recent genetic studies and were implicated in dysregulation of lipid levels experimentally. Thus, there is a need now to take a step back and reconcile these findings accumulated over recent years. RECENT FINDINGS Allelic variants of tribbles proteins have been associated with the control of fatty acid synthesis and insulin resistance as well as regulating plasma triglyceride and HDL cholesterol levels. Several mechanisms of molecular action have been proposed for the tribbles mediated control of these processes, including the regulation of signalling events, protein turnover and transcription, sometimes with conflicting evidence emerging. SUMMARY This review attempts to synthesize knowledge obtained on the biology of the tribbles protein family in the context of lipid metabolism as well as discussing the recently emerging genetic evidence for the importance of these proteins in human disease.
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Affiliation(s)
- Adrienn Angyal
- Department of Cardiovascular Science, University of Sheffield, Sheffield, UK
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25
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Noto D, Cefalù AB, Valenti V, Fayer F, Pinotti E, Ditta M, Spina R, Vigna G, Yue P, Kathiresan S, Tarugi P, Averna MR. Prevalence of ANGPTL3 and APOB Gene Mutations in Subjects With Combined Hypolipidemia. Arterioscler Thromb Vasc Biol 2012; 32:805-9. [DOI: 10.1161/atvbaha.111.238766] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Davide Noto
- From the Department of Internal Medicine and Medical Specialties (D.N., A.B.C., V.V., F.F., M.D., R.S., M.R.A.), University of Palermo, Italy; Department of Biomedical Sciences (E.P., P.T.), University of Modena & Reggio Emilia, Italy; Department of Clinical and Experimental Medicine (G.V.), University of Ferrara, Ferrara, Italy; School of Medicine, Washington University, St. Louis, MO (P.Y.); Cardiovascular Research Center and Center for Human Genetic Research (S.K.), Massachusetts General
| | - Angelo B. Cefalù
- From the Department of Internal Medicine and Medical Specialties (D.N., A.B.C., V.V., F.F., M.D., R.S., M.R.A.), University of Palermo, Italy; Department of Biomedical Sciences (E.P., P.T.), University of Modena & Reggio Emilia, Italy; Department of Clinical and Experimental Medicine (G.V.), University of Ferrara, Ferrara, Italy; School of Medicine, Washington University, St. Louis, MO (P.Y.); Cardiovascular Research Center and Center for Human Genetic Research (S.K.), Massachusetts General
| | - Vincenza Valenti
- From the Department of Internal Medicine and Medical Specialties (D.N., A.B.C., V.V., F.F., M.D., R.S., M.R.A.), University of Palermo, Italy; Department of Biomedical Sciences (E.P., P.T.), University of Modena & Reggio Emilia, Italy; Department of Clinical and Experimental Medicine (G.V.), University of Ferrara, Ferrara, Italy; School of Medicine, Washington University, St. Louis, MO (P.Y.); Cardiovascular Research Center and Center for Human Genetic Research (S.K.), Massachusetts General
| | - Francesca Fayer
- From the Department of Internal Medicine and Medical Specialties (D.N., A.B.C., V.V., F.F., M.D., R.S., M.R.A.), University of Palermo, Italy; Department of Biomedical Sciences (E.P., P.T.), University of Modena & Reggio Emilia, Italy; Department of Clinical and Experimental Medicine (G.V.), University of Ferrara, Ferrara, Italy; School of Medicine, Washington University, St. Louis, MO (P.Y.); Cardiovascular Research Center and Center for Human Genetic Research (S.K.), Massachusetts General
| | - Elisa Pinotti
- From the Department of Internal Medicine and Medical Specialties (D.N., A.B.C., V.V., F.F., M.D., R.S., M.R.A.), University of Palermo, Italy; Department of Biomedical Sciences (E.P., P.T.), University of Modena & Reggio Emilia, Italy; Department of Clinical and Experimental Medicine (G.V.), University of Ferrara, Ferrara, Italy; School of Medicine, Washington University, St. Louis, MO (P.Y.); Cardiovascular Research Center and Center for Human Genetic Research (S.K.), Massachusetts General
| | - Mariangela Ditta
- From the Department of Internal Medicine and Medical Specialties (D.N., A.B.C., V.V., F.F., M.D., R.S., M.R.A.), University of Palermo, Italy; Department of Biomedical Sciences (E.P., P.T.), University of Modena & Reggio Emilia, Italy; Department of Clinical and Experimental Medicine (G.V.), University of Ferrara, Ferrara, Italy; School of Medicine, Washington University, St. Louis, MO (P.Y.); Cardiovascular Research Center and Center for Human Genetic Research (S.K.), Massachusetts General
| | - Rossella Spina
- From the Department of Internal Medicine and Medical Specialties (D.N., A.B.C., V.V., F.F., M.D., R.S., M.R.A.), University of Palermo, Italy; Department of Biomedical Sciences (E.P., P.T.), University of Modena & Reggio Emilia, Italy; Department of Clinical and Experimental Medicine (G.V.), University of Ferrara, Ferrara, Italy; School of Medicine, Washington University, St. Louis, MO (P.Y.); Cardiovascular Research Center and Center for Human Genetic Research (S.K.), Massachusetts General
| | - Giovanni Vigna
- From the Department of Internal Medicine and Medical Specialties (D.N., A.B.C., V.V., F.F., M.D., R.S., M.R.A.), University of Palermo, Italy; Department of Biomedical Sciences (E.P., P.T.), University of Modena & Reggio Emilia, Italy; Department of Clinical and Experimental Medicine (G.V.), University of Ferrara, Ferrara, Italy; School of Medicine, Washington University, St. Louis, MO (P.Y.); Cardiovascular Research Center and Center for Human Genetic Research (S.K.), Massachusetts General
| | - Pin Yue
- From the Department of Internal Medicine and Medical Specialties (D.N., A.B.C., V.V., F.F., M.D., R.S., M.R.A.), University of Palermo, Italy; Department of Biomedical Sciences (E.P., P.T.), University of Modena & Reggio Emilia, Italy; Department of Clinical and Experimental Medicine (G.V.), University of Ferrara, Ferrara, Italy; School of Medicine, Washington University, St. Louis, MO (P.Y.); Cardiovascular Research Center and Center for Human Genetic Research (S.K.), Massachusetts General
| | - Sekar Kathiresan
- From the Department of Internal Medicine and Medical Specialties (D.N., A.B.C., V.V., F.F., M.D., R.S., M.R.A.), University of Palermo, Italy; Department of Biomedical Sciences (E.P., P.T.), University of Modena & Reggio Emilia, Italy; Department of Clinical and Experimental Medicine (G.V.), University of Ferrara, Ferrara, Italy; School of Medicine, Washington University, St. Louis, MO (P.Y.); Cardiovascular Research Center and Center for Human Genetic Research (S.K.), Massachusetts General
| | - Patrizia Tarugi
- From the Department of Internal Medicine and Medical Specialties (D.N., A.B.C., V.V., F.F., M.D., R.S., M.R.A.), University of Palermo, Italy; Department of Biomedical Sciences (E.P., P.T.), University of Modena & Reggio Emilia, Italy; Department of Clinical and Experimental Medicine (G.V.), University of Ferrara, Ferrara, Italy; School of Medicine, Washington University, St. Louis, MO (P.Y.); Cardiovascular Research Center and Center for Human Genetic Research (S.K.), Massachusetts General
| | - Maurizio R. Averna
- From the Department of Internal Medicine and Medical Specialties (D.N., A.B.C., V.V., F.F., M.D., R.S., M.R.A.), University of Palermo, Italy; Department of Biomedical Sciences (E.P., P.T.), University of Modena & Reggio Emilia, Italy; Department of Clinical and Experimental Medicine (G.V.), University of Ferrara, Ferrara, Italy; School of Medicine, Washington University, St. Louis, MO (P.Y.); Cardiovascular Research Center and Center for Human Genetic Research (S.K.), Massachusetts General
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Abstract
Genome-wide association studies have greatly improved our understanding of the genetic basis of disease risk. The fact that they tend not to identify more than a fraction of the specific causal loci has led to divergence of opinion over whether most of the variance is hidden as numerous rare variants of large effect or as common variants of very small effect. Here I review 20 arguments for and against each of these models of the genetic basis of complex traits and conclude that both classes of effect can be readily reconciled.
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Affiliation(s)
- Greg Gibson
- School of Biology and Center for Integrative Genomics, 770 State Street, Georgia Institute of Technology, Atlanta, Georgia 30332, USA. greg.gibson@biology. gatech.edu
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Khetarpal SA, Edmondson AC, Raghavan A, Neeli H, Jin W, Badellino KO, Demissie S, Manning AK, DerOhannessian SL, Wolfe ML, Cupples LA, Li M, Kathiresan S, Rader DJ. Mining the LIPG allelic spectrum reveals the contribution of rare and common regulatory variants to HDL cholesterol. PLoS Genet 2011; 7:e1002393. [PMID: 22174694 PMCID: PMC3234219 DOI: 10.1371/journal.pgen.1002393] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2011] [Accepted: 10/07/2011] [Indexed: 11/18/2022] Open
Abstract
Genome-wide association studies (GWAS) have successfully identified loci associated with quantitative traits, such as blood lipids. Deep resequencing studies are being utilized to catalogue the allelic spectrum at GWAS loci. The goal of these studies is to identify causative variants and missing heritability, including heritability due to low frequency and rare alleles with large phenotypic impact. Whereas rare variant efforts have primarily focused on nonsynonymous coding variants, we hypothesized that noncoding variants in these loci are also functionally important. Using the HDL-C gene LIPG as an example, we explored the effect of regulatory variants identified through resequencing of subjects at HDL-C extremes on gene expression, protein levels, and phenotype. Resequencing a portion of the LIPG promoter and 5' UTR in human subjects with extreme HDL-C, we identified several rare variants in individuals from both extremes. Luciferase reporter assays were used to measure the effect of these rare variants on LIPG expression. Variants conferring opposing effects on gene expression were enriched in opposite extremes of the phenotypic distribution. Minor alleles of a common regulatory haplotype and noncoding GWAS SNPs were associated with reduced plasma levels of the LIPG gene product endothelial lipase (EL), consistent with its role in HDL-C catabolism. Additionally, we found that a common nonfunctional coding variant associated with HDL-C (rs2000813) is in linkage disequilibrium with a 5' UTR variant (rs34474737) that decreases LIPG promoter activity. We attribute the gene regulatory role of rs34474737 to the observed association of the coding variant with plasma EL levels and HDL-C. Taken together, the findings show that both rare and common noncoding regulatory variants are important contributors to the allelic spectrum in complex trait loci.
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Affiliation(s)
- Sumeet A. Khetarpal
- Institute for Translational Medicine and Therapeutics, Institute for Diabetes, Obesity, and Metabolism, and Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Andrew C. Edmondson
- Institute for Translational Medicine and Therapeutics, Institute for Diabetes, Obesity, and Metabolism, and Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Avanthi Raghavan
- Institute for Translational Medicine and Therapeutics, Institute for Diabetes, Obesity, and Metabolism, and Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Hemanth Neeli
- Section of Hospital Medicine, Temple University Hospital, Philadelphia, Pennsylvania, United States of America
| | - Weijun Jin
- Department of Cell Biology, State University of New York Downstate Medical Center, Brooklyn, New York, United States of America
| | - Karen O. Badellino
- University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, United States of America
| | - Serkalem Demissie
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, United States of America
| | - Alisa K. Manning
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Stephanie L. DerOhannessian
- Institute for Translational Medicine and Therapeutics, Institute for Diabetes, Obesity, and Metabolism, and Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Megan L. Wolfe
- Institute for Translational Medicine and Therapeutics, Institute for Diabetes, Obesity, and Metabolism, and Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, United States of America
| | - Mingyao Li
- Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Sekar Kathiresan
- Cardiovascular Research Center and Center for Human Genetic Research, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Daniel J. Rader
- Institute for Translational Medicine and Therapeutics, Institute for Diabetes, Obesity, and Metabolism, and Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
- * E-mail:
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Crooke RM, Graham MJ. Therapeutic potential of antisense oligonucleotides for the management of dyslipidemia. ACTA ACUST UNITED AC 2011. [DOI: 10.2217/clp.11.59] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Johansen CT, Hegele RA. Allelic and phenotypic spectrum of plasma triglycerides. Biochim Biophys Acta Mol Cell Biol Lipids 2011; 1821:833-42. [PMID: 22033228 DOI: 10.1016/j.bbalip.2011.10.007] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2011] [Accepted: 10/04/2011] [Indexed: 01/10/2023]
Abstract
The genetic underpinnings of both normal and pathological variation in plasma triglyceride (TG) concentration are relatively well understood compared to many other complex metabolic traits. For instance, genome-wide association studies (GWAS) have revealed 32 common variants that are associated with plasma TG concentrations in healthy epidemiologic populations. Furthermore, GWAS in clinically ascertained hypertriglyceridemia (HTG) patients have shown that almost all of the same TG-raising alleles from epidemiologic samples are also associated with HTG disease status, and that greater accumulation of these alleles reflects the severity of the HTG phenotype. Finally, comprehensive resequencing studies show a burden of rare variants in some of these same genes - namely in LPL, GCKR, APOB and APOA5 - in HTG patients compared to normolipidemic controls. A more complete understanding of the genes and genetic variants associated with plasma TG concentration will enrich our understanding of the molecular pathways that modulate plasma TG metabolism, which may translate into clinical benefit. This article is part of a Special Issue entitled Triglyceride Metabolism and Disease.
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