ANGPTL3 Gene Variants in Subjects with Familial Combined Hyperlipidemia A
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The Interplay Between Angiopoietin-Like Proteins and Adipose Tissue: Another Piece of the Relationship Between Adiposopathy and Cardiometabolic Diseases?
International Journal of Molecular Sciences Review The Interplay between Angiopoietin-Like Proteins and Adipose Tissue: Another Piece of the Relationship between Adiposopathy and Cardiometabolic Diseases? Simone Bini *,† , Laura D’Erasmo *,†, Alessia Di Costanzo, Ilenia Minicocci , Valeria Pecce and Marcello Arca Department of Translational and Precision Medicine, Sapienza University of Rome, Viale del Policlinico 155, 00185 Rome, Italy; [email protected] (A.D.C.); [email protected] (I.M.); [email protected] (V.P.); [email protected] (M.A.) * Correspondence: [email protected] (S.B.); [email protected] (L.D.) † These authors contributed equally to this work. Abstract: Angiopoietin-like proteins, namely ANGPTL3-4-8, are known as regulators of lipid metabolism. However, recent evidence points towards their involvement in the regulation of adipose tissue function. Alteration of adipose tissue functions (also called adiposopathy) is considered the main inducer of metabolic syndrome (MS) and its related complications. In this review, we intended to analyze available evidence derived from experimental and human investigations highlighting the contribution of ANGPTLs in the regulation of adipocyte metabolism, as well as their potential role in common cardiometabolic alterations associated with adiposopathy. We finally propose a model of ANGPTLs-based adipose tissue dysfunction, possibly linking abnormalities in the angiopoietins to the induction of adiposopathy and its related disorders. Keywords: adipose tissue; adiposopathy; brown adipose tissue; ANGPTL3; ANGPTL4; ANGPTL8 Citation: Bini, S.; D’Erasmo, L.; Di Costanzo, A.; Minicocci, I.; Pecce, V.; Arca, M. The Interplay between 1. Introduction Angiopoietin-Like Proteins and Adipose tissue (AT) is an important metabolic organ and accounts for up to 25% of Adipose Tissue: Another Piece of the healthy individuals’ weight. -
Laboratory Mouse Models for the Human Genome-Wide Associations
Laboratory Mouse Models for the Human Genome-Wide Associations The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Kitsios, Georgios D., Navdeep Tangri, Peter J. Castaldi, and John P. A. Ioannidis. 2010. Laboratory mouse models for the human genome-wide associations. PLoS ONE 5(11): e13782. Published Version doi:10.1371/journal.pone.0013782 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:8592157 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Laboratory Mouse Models for the Human Genome-Wide Associations Georgios D. Kitsios1,4, Navdeep Tangri1,6, Peter J. Castaldi1,2,4,5, John P. A. Ioannidis1,2,3,4,5,7,8* 1 Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, United States of America, 2 Tufts University School of Medicine, Boston, Massachusetts, United States of America, 3 Department of Hygiene and Epidemiology, University of Ioannina School of Medicine and Biomedical Research Institute, Foundation for Research and Technology-Hellas, Ioannina, Greece, 4 Tufts Clinical and Translational Science Institute, Tufts Medical Center, Boston, Massachusetts, United States of America, 5 Department of Medicine, Center for Genetic Epidemiology and Modeling, Tufts Medical Center, Tufts University -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
Commonly Used Lipidcentric ICD-10 (ICD-9) Codes
Commonly Used Lipidcentric ICD-10 (ICD-9) Codes *This is not an all inclusive list of ICD-10 codes R.LaForge 11/2015 E78.0 (272.0) Pure hypercholesterolemia E78.3 (272.3) Hyperchylomicronemia (Group A) (Group D) Familial hypercholesterolemia Grütz syndrome Fredrickson Type IIa Chylomicronemia (fasting) (with hyperlipoproteinemia hyperprebetalipoproteinemia) Hyperbetalipoproteinemia Fredrickson type I or V Hyperlipidemia, Group A hyperlipoproteinemia Low-density-lipoid-type [LDL] Lipemia hyperlipoproteinemia Mixed hyperglyceridemia E78.4 (272.4) Other hyperlipidemia E78.1 (272.1) Pure hyperglyceridemia Type 1 Diabetes Mellitus (DM) with (Group B) hyperlipidemia Elevated fasting triglycerides Type 1 DM w diabetic hyperlipidemia Endogenous hyperglyceridemia Familial hyperalphalipoproteinemia Fredrickson Type IV Hyperalphalipoproteinemia, familial hyperlipoproteinemia Hyperlipidemia due to type 1 DM Hyperlipidemia, Group B Hyperprebetalipoproteinemia Hypertriglyceridemia, essential E78.5 (272.5) Hyperlipidemia, unspecified Very-low-density-lipoid-type [VLDL] Complex dyslipidemia hyperlipoproteinemia Elevated fasting lipid profile Elevated lipid profile fasting Hyperlipidemia E78.2 (272.2) Mixed hyperlipidemia (Group C) Hyperlipidemia (high blood fats) Broad- or floating-betalipoproteinemia Hyperlipidemia due to steroid Combined hyperlipidemia NOS Hyperlipidemia due to type 2 diabetes Elevated cholesterol with elevated mellitus triglycerides NEC Fredrickson Type IIb or III hyperlipoproteinemia with E78.6 (272.6) -
Reduced Mir-181D Level in Obesity and Its Role in Lipid Metabolism Via
www.nature.com/scientificreports OPEN Reduced miR-181d level in obesity and its role in lipid metabolism via regulation of ANGPTL3 Received: 12 October 2018 Mohamed Abu-Farha 1, Preethi Cherian1, Irina Al-Khairi1, Rasheeba Nizam2, Accepted: 29 July 2019 Abdullah Alkandari3, Hossein Arefanian 4, Jaakko Tuomilehto5, Fahd Al-Mulla2 & Published: xx xx xxxx Jehad Abubaker1 Obesity impacts the endocrine and metabolic functions of the adipose tissue. There is increasing interest in the role of epigenetic factors in obesity and its impact on diabetes and dyslipidemia. One such substance, miR-181, reduces plasma triglyceride levels in mice by targeting isocitrate dehydrogenase 1. In the other hand, the adipocyte diferentiation and lipid regulating hormone angiopoietin-like 3 (ANGPTL3) is a known regulator of circulating apolipoproteins through its inhibition of the lipoprotein lipase activity. We aimed to study the miR-181d expression in the blood and adipose tissue in a cohort of obese and non-obese people, assessing its possible role in obesity. We also aimed to confrm whether miR-181d can bind and regulate ANGPTL3. miR-181d expression levels were investigated in 144 participants, 82 who were non-obese (body mass index [BMI] < 30) and 62 who were obese (BMI > 30). miR-181d levels in plasma and adipose tissue were measured by RT-PCR. Hepatocyte cell cultures were assessed by overexpression and 3′-UTR-luciferase assays for miR-181d binding to its target protein and its efect on the protein. The plasma levels of ANGPTL3 were also measured by ELISA. The miR-181d levels were signifcantly lower in obese than in non-obese individuals. -
Evaluation and Treatment of Hypertriglyceridemia: an Endocrine Society Clinical Practice Guideline
SPECIAL FEATURE Clinical Practice Guideline Evaluation and Treatment of Hypertriglyceridemia: An Endocrine Society Clinical Practice Guideline Lars Berglund, John D. Brunzell, Anne C. Goldberg, Ira J. Goldberg, Frank Sacks, Mohammad Hassan Murad, and Anton F. H. Stalenhoef University of California, Davis (L.B.), Sacramento, California 95817; University of Washington (J.D.B.), Seattle, Washington 98195; Washington University School of Medicine (A.C.G.), St. Louis, Missouri 63110; Columbia University (I.J.G.), New York, New York 10027; Harvard School of Public Health (F.S.), Boston, Massachusetts 02115; Mayo Clinic (M.H.M.), Rochester, Minnesota 55905; and Radboud University Nijmegen Medical Centre (A.F.H.S.), 6525 GA Nijmegen, The Netherlands Objective: The aim was to develop clinical practice guidelines on hypertriglyceridemia. Participants: The Task Force included a chair selected by The Endocrine Society Clinical Guidelines Subcommittee (CGS), five additional experts in the field, and a methodologist. The authors received no corporate funding or remuneration. Consensus Process: Consensus was guided by systematic reviews of evidence, e-mail discussion, conference calls, and one in-person meeting. The guidelines were reviewed and approved sequen- tially by The Endocrine Society’s CGS and Clinical Affairs Core Committee, members responding to a web posting, and The Endocrine Society Council. At each stage, the Task Force incorporated changes in response to written comments. Conclusions: The Task Force recommends that the diagnosis of hypertriglyceridemia be based on fasting levels, that mild and moderate hypertriglyceridemia (triglycerides of 150–999 mg/dl) be diagnosed to aid in the evaluation of cardiovascular risk, and that severe and very severe hyper- triglyceridemia (triglycerides of Ͼ 1000 mg/dl) be considered a risk for pancreatitis. -
The Relationship of Dietary Pattern and Genetic Risk Score with the Incidence of Dyslipidemia: 14-Year Follow-Up Cohort Study
nutrients Article The Relationship of Dietary Pattern and Genetic Risk Score with the Incidence of Dyslipidemia: 14-Year Follow-Up Cohort Study 1, 2,3, 4, 1, Seon-Joo Park y , Myung-Sunny Kim y , Sang-Woon Choi * and Hae-Jeung Lee * 1 Department of Food and Nutrition, College of BioNano Technoloyg, Gachon University, Gyeonggi 13120, Korea; [email protected] 2 Research Group of Healthcare, Korea Food Research Institute, Wanju 55365, Korea; [email protected] 3 Department of Food Biotechnology, Korea University of Science and Technology, Daejeon 34113, Korea 4 Chaum Life Center, CHA University, Seoul 06062, Korea * Correspondence: [email protected] (S.-W.C.); [email protected] or [email protected] (H.-J.L.); Tel.: +82-31-750-5968 (H.-J.L.); Fax: +82-31-724-4411 (H.-J.L.) These authors contributed equally to this work. y Received: 20 November 2020; Accepted: 13 December 2020; Published: 16 December 2020 Abstract: This study was conducted to investigate the relationship between dietary pattern and genetic risk score (GRS) for dyslipidemia risk among Korean adults. Hypercholesterolemia and hypertriglyceridemia defined as total cholesterol 240 mg/dL and triglyceride 200 mg/dL or use ≥ ≥ dyslipidemia medication. The GRS was calculated by summing the risk alleles of the selected seven single-nucleotide polymorphisms related to dyslipidemia. Dietary patterns were identified by principal component analysis based on the frequency of 36 food groups, “whole grain and soybean products” pattern, “meat, fish and vegetables” pattern, and “bread and noodle” pattern were identified. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using the multivariate Cox proportional hazards regression model. -
A Rare Mutation in the APOB Gene Associated with Neurological Manifestations in Familial Hypobetalipoproteinemia
International Journal of Molecular Sciences Article A Rare Mutation in The APOB Gene Associated with Neurological Manifestations in Familial Hypobetalipoproteinemia 1, , 2, 3 Joanna Musialik * y, Anna Boguszewska-Chachulska y, Dorota Pojda-Wilczek , Agnieszka Gorzkowska 4, Robert Szyma ´nczak 2, Magdalena Kania 2, Agata Kujawa-Szewieczek 1, Małgorzata Wojcieszyn 5, Marek Hartleb 6 and Andrzej Wi˛ecek 1 1 Department of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; [email protected] (A.K.-S.); [email protected] (A.W.) 2 Genomed SA, 02-971 Warsaw, Poland; [email protected] (A.B.-C.); [email protected] (R.S.); [email protected] (M.K.) 3 Department of Ophthalmology, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; [email protected] 4 Department of Neurology, Department of Neurorehabilitation, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; [email protected] 5 Department of Gastroenterology, II John Paul Pediatric Center, 41-200 Sosnowiec, Poland; [email protected] 6 Department of Gastroenterology and Hepatology, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; [email protected] * Correspondence: [email protected] These authors contributed to this work equally. y Received: 30 November 2019; Accepted: 15 February 2020; Published: 20 February 2020 Abstract: Clinical phenotypes of familial hypobetalipoproteinemia (FHBL) are related to a number of defective apolipoprotein B (APOB) alleles. Fatty liver disease is a typical manifestation, but serious neurological symptoms can appear. In this study, genetic analysis of the APOB gene and ophthalmological diagnostics were performed for family members with FHBL. -
In-Silico Analysis of Secondary Metabolites That Modulates Enzymes of Cholesterol Target
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.24.219998; this version posted July 25, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. In-Silico Analysis of Secondary Metabolites that Modulates Enzymes of Cholesterol Target Rishab Marahatha1, Saroj Basnet2, Bibek Raj Bhattarai1, Prakriti Budhathoki1, Babita Aryal1, Bikash Adhikari1, Ganesh Lamichhane1, Darbin Kumar Poudel1, and Niranjan Parajuli1 1Central Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal 2Center for Drug Design and Molecular Simulation Division, Cancer Care Nepal and Research Center, Jorpati, Kathmandu, Nepal *Correspondence: [email protected], Tel: +977-1-4332034 Abstract Hypercholesterolemia has posed a serious threat of heart diseases and stroke worldwide. Xanthine oxidase (XO), the rate-limiting enzyme in uric acid biosynthesis, is regarded as the root of reactive oxygen species (ROS) that generates atherosclerosis and cholesterol crystals. β-Hydroxy β-methylglutaryl-coenzyme A reductase (HMGR) is a rate-limiting enzyme in cholesterol biosynthesis. Although some commercially available enzyme inhibiting drugs have effectively reduced the cholesterol level, most of them have failed to meet the requirements of being apt drug candidates. Here, we have carried out an in-silico analysis of secondary metabolites that have already shown good inhibitory activity against XO and HMGR. Out of 118 secondary metabolites reviewed, sixteen molecules inhibiting XO and HMGR were taken based on IC50 values reported in vitro assays. Further, receptor-based virtual screening was carried out against secondary metabolites using GOLD Protein-Ligand Docking Software, combined with subsequent post- docking, to study the binding affinities of ligands to the enzymes. -
Familial Combined Hyperlipidemia: Current Knowledge, Perspectives
REVISTA DE INVESTIGACIÓN CLÍNICA Contents available at PubMed www .clinicalandtranslationalinvestigation .com PERMANYER Rev Invest Clin. 2018;70:224-36 BRIEF REVIEW Familial Combined Hyperlipidemia: Current Knowledge, Perspectives, and Controversies Omar Yaxmehen Bello-Chavolla1,2, Anuar Kuri-García1, Monserratte Ríos-Ríos1, Arsenio Vargas-Vázquez1,2, Jorge Eduardo Cortés-Arroyo1,2, Gabriela Tapia-González1, Ivette Cruz-Bautista1,3,4 and Carlos Alberto Aguilar-Salinas1,3,4* 1Metabolic Diseases Research Unit and 3Department of Endocrinology and Metabolism, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico; 2MD/PhD (PECEM) Program, Facultad de Medicina, Universidad Nacional Autónoma de México; 4Tec Salud, Instituto Tecnológico y de Estudios Superiores de Monterrey, Monterrey, N.L., México ABSTRACT Familial combined hyperlipidemia (FCHL) is the most prevalent primary dyslipidemia; however, it frequently remains undiagnosed and its precise definition is a subject of controversy. FCHL is characterized by fluctuations in serum lipid concentrations and may present as mixed hyperlipidemia, isolated hypercholesterolemia, hypertriglyceridemia, or as a normal serum lipid profile in combination with abnormally elevated levels of apolipoprotein B. FCHL is an oligogenic primary lipid disorder, which can occur due to the interaction of several contributing variants and mutations along with environmental triggers. Controversies surround- ing the relevance of identifying FCHL as a cause of isolated hypertriglyceridemia and a differential diagnosis of familial hyper- triglyceridemia are offset by the description of associations with USF1 and other genetic traits that are unique for FCHL and that are shared with other conditions with similar pathophysiological mechanisms. Patients with FCHL are at an increased risk of cardiovascular disease and mortality and have a high frequency of comorbidity with other metabolic conditions such as type 2 diabetes, non-alcoholic fatty liver disease, steatohepatitis, and the metabolic syndrome. -
Recombinant Human Angiopoietin‑Like Protein 3/ANGPTL3 Catalog Number: 3829-AN
Recombinant Human Angiopoietin‑like Protein 3/ANGPTL3 Catalog Number: 3829-AN DESCRIPTION Source Spodoptera frugiperda, Sf 21 (baculovirus)-derived human Angiopoietin-like Protein 3/ANGPTL3 protein Ser17-Glu460, with a C-terminal 10-His tag Accession # Q9Y5C1 N-terminal Sequence Ser17 Analysis Structure / Form Oligomer Predicted Molecular 53.2 kDa Mass SPECIFICATIONS SDS-PAGE 54-59 kDa and 28-30 kDa, reducing conditions Activity Measured by its ability to promote the expansion of E16 rat liver mononuclear cells in vitro, in the presence of Recombinant Mouse SCF/c‑kit Ligand (Catalog # 455-MC), Recombinant Mouse Thrombopoietin/Tpo (Catalog # 488-TO), and Recombinant Mouse Flt‑3 Ligand (Catalog # 427-FL). The ED50 for this effect is 40-200 ng/mL in the presence of a cross-linking Mouse Anti-polyHistidine Monoclonal Antibody (Catalog # MAB050). Measured by its ability to inhibit lipoprotein lipase activity. Yoshida, K. et al. (2002) J. Lipid Res. 43:1770. The IC50 value under conditions in which Recombinant Human Lipoprotein Lipase/LPL Protein, CF (Catalog # 9888-LL) and p-nitrophenyl butyrate are present in 0.1 M sodium phosphate, 0.15 M NaCl, 0.5% Triton® X-100, pH 7.2, is <15 µg/mL. Endotoxin Level <1.0 EU per 1 μg of the protein by the LAL method. Purity >90%, by SDS-PAGE visualized with Silver Staining and quantitative densitometry by Coomassie® Blue Staining. Formulation Lyophilized from a 0.2 μm filtered solution in PBS, NaCl and CHAPS. See Certificate of Analysis for details. PREPARATION AND STORAGE Reconstitution Reconstitute at 250 μg/mL in sterile PBS. -
Abetalipoproteinemia
Abetalipoproteinemia Description Abetalipoproteinemia is an inherited disorder that impairs the normal absorption of fats and certain vitamins from the diet. Many of the signs and symptoms of abetalipoproteinemia result from a severe shortage (deficiency) of fat-soluble vitamins ( vitamins A, E, and K). The signs and symptoms of this condition primarily affect the gastrointestinal system, eyes, nervous system, and blood. The first signs and symptoms of abetalipoproteinemia appear in infancy. They often include failure to gain weight and grow at the expected rate (failure to thrive); diarrhea; and fatty, foul-smelling stools (steatorrhea). As an individual with this condition ages, additional signs and symptoms include disturbances in nerve function that may lead to poor muscle coordination and difficulty with balance and movement (ataxia). They can also experience a loss of certain reflexes, impaired speech (dysarthria), tremors or other involuntary movements (motor tics), a loss of sensation in the extremities (peripheral neuropathy), or muscle weakness. The muscle problems can disrupt skeletal development, leading to an abnormally curved lower back (lordosis), a rounded upper back that also curves to the side ( kyphoscoliosis), high-arched feet (pes cavus), or an inward- and upward-turning foot ( clubfoot). Individuals with this condition may also develop an eye disorder called retinitis pigmentosa, in which breakdown of the light-sensitive layer (retina) at the back of the eye can cause vision loss. In individuals with abetalipoproteinemia, the retinitis pigmentosa can result in complete vision loss. People with abetalipoproteinemia may also have other eye problems, including involuntary eye movements (nystagmus), eyes that do not look in the same direction (strabismus), and weakness of the external muscles of the eye (ophthalmoplegia).