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Rahimov F, Nieminen P, Kumari P, Juuri E, Nikopensius T, Paraiso K, German J, Karvanen A, Kals M, Elnahas AG, Karjalainen J, Kurki M, Palotie A, Heliövaara A, Esko T, Jukarainen S, Palta P, Ganna A, Patni AP, Mar D, Bomsztyk K, Mathieu J, Ruohola-Baker H, Visel A, Fakhouri WD, Schutte BC, Cornell RA, Rice DP. High incidence and geographic distribution of cleft palate in Finland are associated with the IRF6 gene. Nat Commun 2024; 15:9568. [PMID: 39500877 PMCID: PMC11538390 DOI: 10.1038/s41467-024-53634-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 10/14/2024] [Indexed: 11/08/2024] Open
Abstract
In Finland, the frequency of isolated cleft palate (CP) is higher than that of isolated cleft lip with or without cleft palate (CL/P). This trend contrasts to that in other European countries but its genetic underpinnings are unknown. We conducted a genome-wide association study in the Finnish population and identified rs570516915, a single nucleotide polymorphism highly enriched in Finns, as strongly associated with CP (P = 5.25 × 10-34, OR = 8.65, 95% CI 6.11-12.25), but not with CL/P (P = 7.2 × 10-5), with genome-wide significance. The risk allele frequency of rs570516915 parallels the regional variation of CP prevalence in Finland, and the association was replicated in independent cohorts of CP cases from Finland (P = 8.82 × 10-28) and Estonia (P = 1.25 × 10-5). The risk allele of rs570516915 alters a conserved binding site for the transcription factor IRF6 within an enhancer (MCS-9.7) upstream of the IRF6 gene and diminishes the enhancer activity. Oral epithelial cells derived from CRISPR-Cas9 edited induced pluripotent stem cells demonstrate that the CP-associated allele of rs570516915 concomitantly decreases the binding of IRF6 and the expression level of IRF6, suggesting impaired IRF6 autoregulation as a molecular mechanism underlying the risk for CP.
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Affiliation(s)
- Fedik Rahimov
- Department of Human Genetics, Genomics Research Center, AbbVie Inc, North Chicago, IL, 60064, USA
| | - Pekka Nieminen
- Orthodontics, Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, 00014, Finland
| | - Priyanka Kumari
- Department of Anatomy and Cell Biology, University of Iowa, Iowa City, IA, 52242, USA
- Department of Oral Health Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Emma Juuri
- Orthodontics, Department of Oral and Maxillofacial Diseases, University of Helsinki and Helsinki University Hospital, Helsinki, 00014, Finland
- Cleft Palate and Craniofacial Center, Department of Plastic Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, 00029 HUS, Finland
| | - Tiit Nikopensius
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Kitt Paraiso
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley Laboratories, Berkeley, CA, 94720, USA
- U.S. Department of Energy Joint Genome Institute, Lawrence Berkeley Laboratories, Berkeley, CA, 94720, USA
| | - Jakob German
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, 00014, Finland
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
| | - Antti Karvanen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, 00014, Finland
| | - Mart Kals
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, 00014, Finland
| | - Abdelrahman G Elnahas
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Juha Karjalainen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, 00014, Finland
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Mitja Kurki
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, 00014, Finland
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, 00014, Finland
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Arja Heliövaara
- Cleft Palate and Craniofacial Center, Department of Plastic Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, 00029 HUS, Finland
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Sakari Jukarainen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, 00014, Finland
| | - Priit Palta
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, 00014, Finland
| | - Andrea Ganna
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, 00014, Finland
| | - Anjali P Patni
- Department of Oral Health Sciences, University of Washington, Seattle, WA, 98195, USA
- Department of Biochemistry, University of Washington School of Medicine, Seattle, WA, 98195, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington School of Medicine, Seattle, WA, 98109, USA
- Cancer Biology and Stem Cell Biology Laboratory, Department of Genetic Engineering, School of Bioengineering, College of Engineering and Technology, SRM Institute of Science and Technology, Chennai, 603203, India
| | - Daniel Mar
- Institute for Stem Cell and Regenerative Medicine, University of Washington School of Medicine, Seattle, WA, 98109, USA
- UW Medicine South Lake Union, University of Washington, Seattle, WA, 98109, USA
| | - Karol Bomsztyk
- Institute for Stem Cell and Regenerative Medicine, University of Washington School of Medicine, Seattle, WA, 98109, USA
- UW Medicine South Lake Union, University of Washington, Seattle, WA, 98109, USA
- Matchstick Technologies, Inc, Kirkland, WA, 98033, USA
| | - Julie Mathieu
- Institute for Stem Cell and Regenerative Medicine, University of Washington School of Medicine, Seattle, WA, 98109, USA
- Department of Comparative Medicine, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Hannele Ruohola-Baker
- Department of Oral Health Sciences, University of Washington, Seattle, WA, 98195, USA
- Department of Biochemistry, University of Washington School of Medicine, Seattle, WA, 98195, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington School of Medicine, Seattle, WA, 98109, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, 98195, USA
- Department of Bioengineering, University of Washington, Seattle, WA, 98195, USA
| | - Axel Visel
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley Laboratories, Berkeley, CA, 94720, USA
- U.S. Department of Energy Joint Genome Institute, Lawrence Berkeley Laboratories, Berkeley, CA, 94720, USA
- School of Natural Sciences, University of California, Merced, CA, 95343, USA
| | - Walid D Fakhouri
- Department of Diagnostic and Biomedical Sciences, School of Dentistry, University of Texas Health Science Center at Houston, Houston, TX, 77054, USA
- Department of Pediatrics, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Brian C Schutte
- Department of Microbiology, Genetics and Immunology, College of Osteopathic Medicine, Michigan State University, East Lansing, MI, 48824, USA.
| | - Robert A Cornell
- Department of Anatomy and Cell Biology, University of Iowa, Iowa City, IA, 52242, USA.
- Department of Oral Health Sciences, University of Washington, Seattle, WA, 98195, USA.
- Institute for Stem Cell and Regenerative Medicine, University of Washington School of Medicine, Seattle, WA, 98109, USA.
| | - David P Rice
- Orthodontics, Department of Oral and Maxillofacial Diseases, University of Helsinki and Helsinki University Hospital, Helsinki, 00014, Finland.
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Liu WW, Liu ML. Vascular Calcification: Where is the Cure? CHINESE MEDICAL SCIENCES JOURNAL = CHUNG-KUO I HSUEH K'O HSUEH TSA CHIH 2024; 39:198-210. [PMID: 39229794 DOI: 10.24920/004367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2024]
Abstract
With the progress of aging, the incidence of vascular calcification (VC) gradually increases, which is correlated with cardiovascular events and all-cause death, aggravating global clinical burden. Over the past several decades, accumulating approaches targeting the underlying pathogenesis of VC have provided some possibilities for the treatment of VC. Unfortunately, none of the current interventions have achieved clinical effectiveness on reversing or curing VC. The purpose of this review is to make a summary of novel perspectives on the interventions of VC and provide reference for clinical decision-making.
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Affiliation(s)
- Wen-Wen Liu
- Department of Geriatrics, Peking University First Hospital, Beijing 100034, China
| | - Mei-Lin Liu
- Department of Geriatrics, Peking University First Hospital, Beijing 100034, China. ,
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Jokiniitty A, Eskola M, Metso S, Bogsrud M, Huhtala H, Saarela T. Genetic testing for familial hypercholesterolemia in a Finnish cohort of patients with premature coronary artery disease and elevated LDL-C levels. Front Cardiovasc Med 2024; 11:1433042. [PMID: 39131706 PMCID: PMC11310056 DOI: 10.3389/fcvm.2024.1433042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Accepted: 07/10/2024] [Indexed: 08/13/2024] Open
Abstract
Background Based on Finnish LDLR-founder variations, the prevalence of familial hypercholesterolemia (FH) in Finland is estimated to be at least 1:600. Patients with FH have increased risk of premature coronary artery disease (CAD) and thus the prevalence of FH is expected to be higher in this subgroup. Objective To assess the prevalence of monogenic FH in a Finnish cohort of patients with premature CAD and elevated low-density lipoprotein cholesterol (LDL-C) levels. Methods Among 28,295 patients undergoing angiography at Heart Hospital at Tampere University Hospital between 2007 and 2017, we identified 162 patients diagnosed with premature CAD (men aged <55 years and women aged <60 years) and history of high LDL-C (≥5 mmol/L) levels without secondary causes of hypercholesterolemia. Clinical probability of FH was estimated, and genetic testing of FH was carried out in 80 patients with informed consent. Results Of the 80 patients with premature CAD and history of high LDL-C levels, 70% were men; the age at diagnosis of CAD for male and female patients was 48 and 53 years, respectively. In total, 58 (73%) patients had probable (n = 54) or definite (n = 4) FH based on Dutch Lipid Clinic Network criteria. A pathogenic variant of FH was found in five (6%) patients. Prevalence of the genetically verified FH was 1:16. The FH variant was found in 75% of patients with definite FH. Conclusions The prevalence of genetically verified FH was 1:16 among patients with premature CAD and elevated LDL-C level, which is 38 times higher than the estimated prevalence of 1:600 in the general Finnish population.
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Affiliation(s)
- Antti Jokiniitty
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Internal Medicine, Tampere University Hospital, Tampere, Finland
| | - Markku Eskola
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Heart Hospital, Tampere University Hospital, Tampere, Finland
| | - Saara Metso
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Internal Medicine, Tampere University Hospital, Tampere, Finland
| | - Martin Bogsrud
- Unit for Cardiac and Cardiovascular Genetics, Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Heini Huhtala
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Tanja Saarela
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Genetics, Kuopio University Hospital, Wellbeing Services County of North Savo,Kuopio, Finland
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Rahimov F, Nieminen P, Kumari P, Juuri E, Nikopensius T, Paraiso K, German J, Karvanen A, Kals M, Elnahas AG, Karjalainen J, Kurki M, Palotie A, Heliövaara A, Esko T, Jukarainen S, Palta P, Ganna A, Patni AP, Mar D, Bomsztyk K, Mathieu J, Ruohola-Baker H, Visel A, Fakhouri WD, Schutte BC, Cornell RA, Rice DP. High incidence and geographic distribution of cleft palate cases in Finland are associated with a regulatory variant in IRF6. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.09.24310146. [PMID: 39040165 PMCID: PMC11261923 DOI: 10.1101/2024.07.09.24310146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
In Finland the frequency of isolated cleft palate (CP) is higher than that of isolated cleft lip with or without cleft palate (CL/P). This trend contrasts to that in other European countries but its genetic underpinnings are unknown. We performed a genome-wide association study for orofacial clefts, which include CL/P and CP, in the Finnish population. We identified rs570516915, a single nucleotide polymorphism that is highly enriched in Finns and Estonians, as being strongly associated with CP ( P = 5.25 × 10 -34 , OR = 8.65, 95% CI 6.11-12.25), but not with CL/P ( P = 7.2 × 10 -5 ), with genome-wide significance. The risk allele frequency of rs570516915 parallels the regional variation of CP prevalence in Finland, and the association was replicated in independent cohorts of CP cases from Finland ( P = 8.82 × 10 -28 ) and Estonia ( P = 1.25 × 10 -5 ). The risk allele of rs570516915 disrupts a conserved binding site for the transcription factor IRF6 within a previously characterized enhancer upstream of the IRF6 gene. Through reporter assay experiments we found that the risk allele of rs570516915 diminishes the enhancer activity. Oral epithelial cells derived from CRISPR-Cas9 edited induced pluripotent stem cells demonstrate that the CP-associated allele of rs570516915 concomitantly decreases the binding of IRF6 and the expression level of IRF6 , suggesting impaired IRF6 autoregulation as a molecular mechanism underlying the risk for CP.
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Junna N, Ruotsalainen S, Ripatti P, FinnGen, Ripatti S, Widén E. Novel Finnish-enriched variants causing severe hypercholesterolemia and their clinical impact on coronary artery disease. Atherosclerosis 2023; 386:117327. [PMID: 37848354 DOI: 10.1016/j.atherosclerosis.2023.117327] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 09/29/2023] [Accepted: 10/03/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND AND AIMS Severe hypercholesterolemia (LDL-cholesterol ≥ 5 mmol/l) is a major risk factor for coronary artery disease (CAD). The etiology incudes both genetic and nongenetic factors, but persons carrying mutations in known hypercholesterolemia-associated genes are at significantly higher CAD risk than non-carriers. Yet, a significant proportion of mutation carriers remains undetected while the assessment of genetic candidate variants in clinical practice is challenging. METHODS To address these challenges, we set out to test the utility of a practical approach to leverage data from a large reference cohort, the FinnGen Study encompassing 356,082 persons with extensive longitudinal health record information, to aid the clinical evaluation of single genetic candidate genes variants detected by exome sequence analysis in a target population of 351 persons with severe hypercholesterolemia. RESULTS We identified 23 rare missense mutations in known hypercholesterolemia genes, 3 of which were previously described mutations (LDLR Pro309Lysfs, LDLR Arg595Gln and APOB Arg3527Gln). Subsequent in silico and clinical assessment of the remaining 20 variants pinpointed two likely hypercholesterolemia-associated variants in LDLR (Arg574Leu and Glu626Lys) and one in LDLRAP1 (Arg151Trp). Heterozygous carriers of the novel LDLR and LDLRAP1 variants received statin treatment more often than non-carriers (OR 2.1, p = 1.8e-6 and OR 1.4, p = 0.001) and untreated carriers had higher risk for ischemic heart disease (OR 2.0, p = 0.03 and OR 1.8, p = 0.008). CONCLUSIONS Our data elucidate the wide spectrum of genetic variants impacting hypercholesterolemia and demonstrate the utility of a large reference population to assess the heterogeneous impact of candidate gene variants on cardiovascular disease risk.
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Affiliation(s)
- Nella Junna
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Biomedicum 2U, Tukholmankatu 8, 00290, Helsinki, Finland
| | - Sanni Ruotsalainen
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Biomedicum 2U, Tukholmankatu 8, 00290, Helsinki, Finland
| | - Pietari Ripatti
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Biomedicum 2U, Tukholmankatu 8, 00290, Helsinki, Finland
| | - FinnGen
- Institute for Molecular Medicine Finland, FIMM, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Biomedicum 2U, Tukholmankatu 8, 00290, Helsinki, Finland; Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Clinicum, University of Helsinki, Helsinki, Finland
| | - Elisabeth Widén
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Biomedicum 2U, Tukholmankatu 8, 00290, Helsinki, Finland.
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Suárez NM, Jebari-Benslaiman S, Jiménez-Monzón R, Benito-Vicente A, Brito-Casillas Y, Garcés L, González-Lleo AM, Tugores A, Boronat M, Martin C, Wägner AM, Sánchez-Hernández RM. Age, Origin and Functional Study of the Prevalent LDLR Mutation Causing Familial Hypercholesterolaemia in Gran Canaria. Int J Mol Sci 2023; 24:11319. [PMID: 37511081 PMCID: PMC10379432 DOI: 10.3390/ijms241411319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/13/2023] [Accepted: 07/05/2023] [Indexed: 07/30/2023] Open
Abstract
The p.(Tyr400_Phe402del) mutation in the LDL receptor (LDLR) gene is the most frequent cause of familial hypercholesterolaemia (FH) in Gran Canaria. The aim of this study was to determine the age and origin of this prevalent founder mutation and to explore its functional consequences. For this purpose, we obtained the haplotypic information of 14 microsatellite loci surrounding the mutation in one homozygous individual and 11 unrelated heterozygous family trios. Eight different mutation carrier haplotypes were identified, which were estimated to originate from a common ancestral haplotype 387 (110-1572) years ago. This estimation suggests that this mutation happened after the Spanish colonisation of the Canary Islands, which took place during the fifteenth century. Comprehensive functional studies of this mutation showed that the expressed LDL receptor was retained in the endoplasmic reticulum, preventing its migration to the cell surface, thus allowing us to classify this LDLR mutation as a class 2a, defective, pathogenic variant.
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Affiliation(s)
- Nicolás M Suárez
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
| | - Shifa Jebari-Benslaiman
- Departamento de Bioquímica y Biología Molecular, Instituto Biofisika (UPV/EHU, CSIC), Universidad del País Vasco UPV/EHU, Bilbao, 48940 Leioa, Spain
| | - Roberto Jiménez-Monzón
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
| | - Asier Benito-Vicente
- Departamento de Bioquímica y Biología Molecular, Instituto Biofisika (UPV/EHU, CSIC), Universidad del País Vasco UPV/EHU, Bilbao, 48940 Leioa, Spain
| | - Yeray Brito-Casillas
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
| | - Laida Garcés
- Departamento de Bioquímica y Biología Molecular, Instituto Biofisika (UPV/EHU, CSIC), Universidad del País Vasco UPV/EHU, Bilbao, 48940 Leioa, Spain
| | - Ana M González-Lleo
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
- Sección de Endocrinología y Nutrición, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria (CHUIMI), 35016 Las Palmas de Gran Canaria, Spain
| | - Antonio Tugores
- Unidad de Investigación, CHUIMI, 35016 Las Palmas de Gran Canaria, Spain
| | - Mauro Boronat
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
- Sección de Endocrinología y Nutrición, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria (CHUIMI), 35016 Las Palmas de Gran Canaria, Spain
| | - César Martin
- Departamento de Bioquímica y Biología Molecular, Instituto Biofisika (UPV/EHU, CSIC), Universidad del País Vasco UPV/EHU, Bilbao, 48940 Leioa, Spain
| | - Ana M Wägner
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
- Sección de Endocrinología y Nutrición, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria (CHUIMI), 35016 Las Palmas de Gran Canaria, Spain
| | - Rosa M Sánchez-Hernández
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
- Sección de Endocrinología y Nutrición, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria (CHUIMI), 35016 Las Palmas de Gran Canaria, Spain
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Yan Q, Zhang T, O'Connor C, Barlow JW, Walsh J, Scalabrino G, Xu F, Sheridan H. The biological responses of vitamin K2: A comprehensive review. Food Sci Nutr 2023; 11:1634-1656. [PMID: 37051359 PMCID: PMC10084986 DOI: 10.1002/fsn3.3213] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/14/2022] [Accepted: 12/19/2022] [Indexed: 01/09/2023] Open
Abstract
Vitamin K1 (VitK1) and Vitamin K2 (VitK2), two important naturally occurring micronutrients in the VitK family, found, respectively, in green leafy plants and algae (VitK1) and animal and fermented foods (VitK2). The present review explores the multiple biological functions of VitK2 from recently published in vitro and in vivo studies, including promotion of osteogenesis, prevention of calcification, relief of menopausal symptoms, enhancement of mitochondrial energy release, hepato- and neuro-protective effects, and possible use in treatment of coronavirus disease. The mechanisms of action associated with these biological effects are also explored. Overall, the findings presented here suggest that VitK, especially VitK2, is an important nutrient family for the normal functioning of human health. It acts on almost all major body systems and directly or indirectly participates in and regulates hundreds of physiological or pathological processes. However, as biological and clinical data are still inconsistent and conflicting, more in-depth investigations are warranted to elucidate its potential as a therapeutic strategy to prevent and treat a range of disease conditions.
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Affiliation(s)
- Quanxiang Yan
- Institute of Science and TechnologyShenyang Open UniversityShenyangChina
| | - Tao Zhang
- School of Food Science & Environmental HealthTechnological University DublinDublin 7Ireland
- NatPro Centre, School of Pharmacy and Pharmaceutical SciencesTrinity College DublinDublin 2Ireland
| | - Christine O'Connor
- School of Food Science & Environmental HealthTechnological University DublinDublin 7Ireland
| | - James W. Barlow
- Department of ChemistryRCSI University of Medicine and Health SciencesDublin 2Ireland
| | - John Walsh
- NatPro Centre, School of Pharmacy and Pharmaceutical SciencesTrinity College DublinDublin 2Ireland
- School of Pharmacy and Pharmaceutical SciencesTrinity College DublinDublin 2Ireland
| | - Gaia Scalabrino
- NatPro Centre, School of Pharmacy and Pharmaceutical SciencesTrinity College DublinDublin 2Ireland
| | - Feng Xu
- The Centre of Vitamin K2 ResearchShenyang Pharmaceutical UniversityShenyangChina
| | - Helen Sheridan
- NatPro Centre, School of Pharmacy and Pharmaceutical SciencesTrinity College DublinDublin 2Ireland
- School of Pharmacy and Pharmaceutical SciencesTrinity College DublinDublin 2Ireland
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Genetic Spectrum of Familial Hypercholesterolaemia in the Malaysian Community: Identification of Pathogenic Gene Variants Using Targeted Next-Generation Sequencing. Int J Mol Sci 2022; 23:ijms232314971. [PMID: 36499307 PMCID: PMC9736953 DOI: 10.3390/ijms232314971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/11/2022] [Accepted: 11/17/2022] [Indexed: 12/02/2022] Open
Abstract
Familial hypercholesterolaemia (FH) is caused by mutations in lipid metabolism genes, predominantly in low-density lipoprotein receptor (LDLR), apolipoprotein B (APOB), proprotein convertase subtilisin/kexin-type 9 (PCSK9) and LDL receptor adaptor protein 1 (LDLRAP1). The prevalence of genetically confirmed FH and the detection rate of pathogenic variants (PV) amongst clinically diagnosed patients is not well established. Targeted next-generation sequencing of LDLR, APOB, PCSK9 and LDLRAP1 was performed on 372 clinically diagnosed Malaysian FH subjects. Out of 361 variants identified, 40 of them were PV (18 = LDLR, 15 = APOB, 5 = PCSK9 and 2 = LDLRAP1). The majority of the PV were LDLR and APOB, where the frequency of both PV were almost similar. About 39% of clinically diagnosed FH have PV in PCSK9 alone and two novel variants of PCSK9 were identified in this study, which have not been described in Malaysia and globally. The prevalence of genetically confirmed potential FH in the community was 1:427, with a detection rate of PV at 0.2% (12/5130). About one-fourth of clinically diagnosed FH in the Malaysian community can be genetically confirmed. The detection rate of genetic confirmation is similar between potential and possible FH groups, suggesting a need for genetic confirmation in index cases from both groups. Clinical and genetic confirmation of FH index cases in the community may enhance the early detection of affected family members through family cascade screening.
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Mighton C, Shickh S, Aguda V, Krishnapillai S, Adi-Wauran E, Bombard Y. From the patient to the population: Use of genomics for population screening. Front Genet 2022; 13:893832. [PMID: 36353115 PMCID: PMC9637971 DOI: 10.3389/fgene.2022.893832] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 09/26/2022] [Indexed: 10/22/2023] Open
Abstract
Genomic medicine is expanding from a focus on diagnosis at the patient level to prevention at the population level given the ongoing under-ascertainment of high-risk and actionable genetic conditions using current strategies, particularly hereditary breast and ovarian cancer (HBOC), Lynch Syndrome (LS) and familial hypercholesterolemia (FH). The availability of large-scale next-generation sequencing strategies and preventive options for these conditions makes it increasingly feasible to screen pre-symptomatic individuals through public health-based approaches, rather than restricting testing to high-risk groups. This raises anew, and with urgency, questions about the limits of screening as well as the moral authority and capacity to screen for genetic conditions at a population level. We aimed to answer some of these critical questions by using the WHO Wilson and Jungner criteria to guide a synthesis of current evidence on population genomic screening for HBOC, LS, and FH.
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Affiliation(s)
- Chloe Mighton
- Genomics Health Services Research Program, St. Michael’s Hospital, Unity Health Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Salma Shickh
- Genomics Health Services Research Program, St. Michael’s Hospital, Unity Health Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Vernie Aguda
- Genomics Health Services Research Program, St. Michael’s Hospital, Unity Health Toronto, Toronto, ON, Canada
- Centre for Medical Education, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Suvetha Krishnapillai
- Genomics Health Services Research Program, St. Michael’s Hospital, Unity Health Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Ella Adi-Wauran
- Genomics Health Services Research Program, St. Michael’s Hospital, Unity Health Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Yvonne Bombard
- Genomics Health Services Research Program, St. Michael’s Hospital, Unity Health Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
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10
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Pfisterer SG, Brock I, Kanerva K, Hlushchenko I, Paavolainen L, Ripatti P, Islam MM, Kyttälä A, Di Taranto MD, Scotto di Frega A, Fortunato G, Kuusisto J, Horvath P, Ripatti S, Laakso M, Ikonen E. Multiparametric platform for profiling lipid trafficking in human leukocytes. CELL REPORTS METHODS 2022; 2:100166. [PMID: 35474963 PMCID: PMC9017167 DOI: 10.1016/j.crmeth.2022.100166] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/26/2021] [Accepted: 01/18/2022] [Indexed: 11/25/2022]
Abstract
Systematic insight into cellular dysfunction can improve understanding of disease etiology, risk assessment, and patient stratification. We present a multiparametric high-content imaging platform enabling quantification of low-density lipoprotein (LDL) uptake and lipid storage in cytoplasmic droplets of primary leukocyte subpopulations. We validate this platform with samples from 65 individuals with variable blood LDL-cholesterol (LDL-c) levels, including familial hypercholesterolemia (FH) and non-FH subjects. We integrate lipid storage data into another readout parameter, lipid mobilization, measuring the efficiency with which cells deplete lipid reservoirs. Lipid mobilization correlates positively with LDL uptake and negatively with hypercholesterolemia and age, improving differentiation of individuals with normal and elevated LDL-c. Moreover, combination of cell-based readouts with a polygenic risk score for LDL-c explains hypercholesterolemia better than the genetic risk score alone. This platform provides functional insights into cellular lipid trafficking and has broad possible applications in dissecting the cellular basis of metabolic disorders.
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Affiliation(s)
- Simon G. Pfisterer
- Department of Anatomy, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Ivonne Brock
- Department of Anatomy, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Kristiina Kanerva
- Department of Anatomy, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Iryna Hlushchenko
- Department of Anatomy, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Lassi Paavolainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Pietari Ripatti
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Mohammad Majharul Islam
- Department of Anatomy, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Aija Kyttälä
- Finnish Institute for Health and Welfare (THL), THL Biobank, Helsinki, Finland
| | - Maria D. Di Taranto
- Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Napoli, Italy
- CEINGE Biotecnologie Avanzate scarl Naples, Napoli, Italy
| | | | - Giuliana Fortunato
- Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Napoli, Italy
- CEINGE Biotecnologie Avanzate scarl Naples, Napoli, Italy
| | - Johanna Kuusisto
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Peter Horvath
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Biological Research Center, Szeged, Hungary
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Elina Ikonen
- Department of Anatomy, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
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11
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Jokiniitty A, Eskola M, Saarela T, Huhtala H, Metso S. Role of an automated screening tool for familial hypercholesterolemia in patients with premature coronary artery disease. ATHEROSCLEROSIS PLUS 2022; 48:1-7. [PMID: 36644564 PMCID: PMC9833226 DOI: 10.1016/j.athplu.2022.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 12/21/2021] [Accepted: 01/03/2022] [Indexed: 01/18/2023]
Abstract
Background and aims To validate an automated screening tool for patients with premature coronary artery disease (CAD) and high total cholesterol or LDL-C levels and assess if it would provide clinicians with additional support in identifying patients with Familial Hypercholesterolemia (FH). Methods An IT-based automated screening tool based on coronary angiography data recorded in the KARDIO registry and laboratory values was validated among patients undergone coronary angiography in the Heart Hospital at Tampere University Hospital between 2007 and 2017 fulfilling the criteria of premature CAD (men <55 years and women <60 years) and history of high total cholesterol (>8 mmol/l) or LDL-cholesterol (>5 mmol/l) levels. Electronic health records were retrospectively analyzed to determine if these patients had been diagnosed with FH based on clinical features and whether genetic testing had been conducted. Results The automated screening tool identified 0.7% (211/28295) of all patients undergone coronary angiography and revealed history of high cholesterol in 8% (211/2678) of patients with premature CAD during the study period. Fifty-one percent (107/211) of these patients fulfilled the clinical criteria for probable/definite FH based on the Dutch Lipid Clinic Network (DLCN) criteria.None of the patients had been diagnosed with FH based on clinical criteria before or after diagnosis of CAD. Thirteen percent of patients (n = 14) with probable/definite FH had been tested for genetic mutations of FH before or after CAD, five (36%) of them having a pathogenic FH variant. Two patients were referred to cascade screening. Conclusions FH was underdiagnosed among the population studied. An automated screening tool in cardiac care could provide additional support for clinicians in diagnosing patients potentially having FH.
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Affiliation(s)
- Antti Jokiniitty
- Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland,Department of Internal Medicine, Tampere University Hospital, Elämänaukio 2, 33521, Tampere, Finland,Corresponding author. Department of Internal Medicine, Tampere University Hospital, Elämänaukio 2, 33521, Tampere, Finland.
| | - Markku Eskola
- Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland,Heart Hospital, Tampere University Hospital, Elämänaukio 1, 33521, Tampere, Finland
| | - Tanja Saarela
- Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland,Department of Clinical Genetics, Kuopio University Hospital, Kuopio, Finland
| | - Heini Huhtala
- Faculty of Social Sciences, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland
| | - Saara Metso
- Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland,Department of Internal Medicine, Tampere University Hospital, Elämänaukio 2, 33521, Tampere, Finland
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12
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Futema M, Taylor-Beadling A, Williams M, Humphries SE. Genetic testing for familial hypercholesterolemia-past, present, and future. J Lipid Res 2021; 62:100139. [PMID: 34666015 PMCID: PMC8572866 DOI: 10.1016/j.jlr.2021.100139] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 09/22/2021] [Accepted: 10/02/2021] [Indexed: 01/01/2023] Open
Abstract
In the early 1980s, the Nobel Prize winning cellular and molecular work of Mike Brown and Joe Goldstein led to the identification of the LDL receptor gene as the first gene where mutations cause the familial hypercholesterolemia (FH) phenotype. We now know that autosomal dominant monogenic FH can be caused by pathogenic variants of three additional genes (APOB/PCSK9/APOE) and that the plasma LDL-C concentration and risk of premature coronary heart disease differs according to the specific locus and associated molecular cause. It is now possible to use next-generation sequencing to sequence all exons of all four genes, processing 96 patient samples in one sequencing run, increasing the speed of test results, and reducing costs. This has resulted in the identification of not only many novel FH-causing variants but also some variants of unknown significance, which require further evidence to classify as pathogenic or benign. The identification of the FH-causing variant in an index case can be used as an unambiguous and rapid test for other family members. An FH-causing variant can be found in 20-40% of patients with the FH phenotype, and we now appreciate that in the majority of patients without a monogenic cause, a polygenic etiology for their phenotype is highly likely. Compared with those with a monogenic cause, these patients have significantly lower risk of future coronary heart disease. The use of these molecular genetic diagnostic methods in the characterization of FH is a prime example of the utility of precision or personalized medicine.
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Affiliation(s)
- Marta Futema
- Centre for Heart Muscle Disease, Institute of Cardiovascular Science, University College London, London, United Kingdom; Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom
| | - Alison Taylor-Beadling
- Regional Molecular Genetics Laboratory, Great Ormond Street Hospital for Children, London, United Kingdom
| | | | - Steve E Humphries
- Institute of Cardiovascular Science, University College London, London, United Kingdom.
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13
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Benedek P, Jiao H, Duvefelt K, Skoog T, Linde M, Kiviluoma P, Kere J, Eriksson M, Angelin B. Founder effects facilitate the use of a genotyping-based approach to molecular diagnosis in Swedish patients with familial hypercholesterolaemia. J Intern Med 2021; 290:404-415. [PMID: 33955087 DOI: 10.1111/joim.13287] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 03/05/2021] [Accepted: 03/09/2021] [Indexed: 12/01/2022]
Abstract
AIM To investigate whether genotyping could be used as a cost-effective screening step, preceding next-generation sequencing (NGS), in molecular diagnosis of familial hypercholesterolaemia (FH) in Swedish patients. METHODS AND RESULTS Three hundred patients of Swedish origin with clinical suspicion of heterozygous FH were analysed using a specific array genotyping panel embedding 112 FH-causing mutations in the LDLR, APOB and PCSK9 genes. The mutations had been selected from previous reports on FH patients in Scandinavia and Finland. Mutation-negative cases were further analysed by NGS. In 181 patients with probable or definite FH using the Dutch lipid clinics network (DLCN) criteria (score ≥ 6), a causative mutation was identified in 116 (64%). Of these, 94 (81%) were detected by genotyping. Ten mutations accounted for more than 50% of the positive cases, with APOB c.10580G>A being the most common. Mutations in LDLR predominated, with (c.2311+1_2312-1)(2514)del (FH Helsinki) and c.259T>G having the highest frequency. Two novel LDLR mutations were identified. In patients with DLCN score < 6, mutation detection rate was significantly higher at younger age. CONCLUSION A limited number of mutations explain a major fraction of FH cases in Sweden. Combination of selective genotyping and NGS facilitates the clinical challenge of cost-effective genetic screening in suspected FH. The frequency of APOB c.10580G>A was higher than previously reported in Sweden. The lack of demonstrable mutations in the LDLR, APOB and PCSK9 genes in ~1/3 of patients with probable FH strongly suggests that additional genetic mechanisms are to be found in phenotypic FH.
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Affiliation(s)
- P Benedek
- From the, Cardiometabolic Unit, Clinical Department of Endocrinology, Department of Medicine, Karolinska Institutet at Karolinska University Hospital, Huddinge, Sweden.,Department of Medicine, Integrated Cardiometabolic Center (ICMC), Karolinska Institutet at Karolinska University Hospital, Huddinge, Sweden
| | - H Jiao
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.,Clinical Research Center, Karolinska University Hospital, Huddinge, Sweden
| | - K Duvefelt
- Clinical Research Center, Karolinska University Hospital, Huddinge, Sweden
| | - T Skoog
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | - M Linde
- Clinical Research Center, Karolinska University Hospital, Huddinge, Sweden
| | - P Kiviluoma
- Clinical Research Center, Karolinska University Hospital, Huddinge, Sweden
| | - J Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.,Clinical Research Center, Karolinska University Hospital, Huddinge, Sweden.,Folkhälsan Research Center, Helsinki, Finland.,Stem Cells and Metabolism Research Program, University of Helsinki, Helsinki, Finland
| | - M Eriksson
- From the, Cardiometabolic Unit, Clinical Department of Endocrinology, Department of Medicine, Karolinska Institutet at Karolinska University Hospital, Huddinge, Sweden.,Clinical Research Center, Karolinska University Hospital, Huddinge, Sweden
| | - B Angelin
- From the, Cardiometabolic Unit, Clinical Department of Endocrinology, Department of Medicine, Karolinska Institutet at Karolinska University Hospital, Huddinge, Sweden.,Department of Medicine, Integrated Cardiometabolic Center (ICMC), Karolinska Institutet at Karolinska University Hospital, Huddinge, Sweden
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14
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Awan ZA, Rashidi OM, Al-Shehri BA, Jamil K, Elango R, Al-Aama JY, Hegele RA, Banaganapalli B, Shaik NA. Saudi Familial Hypercholesterolemia Patients With Rare LDLR Stop Gain Variant Showed Variable Clinical Phenotype and Resistance to Multiple Drug Regimen. Front Med (Lausanne) 2021; 8:694668. [PMID: 34249980 PMCID: PMC8267156 DOI: 10.3389/fmed.2021.694668] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 05/31/2021] [Indexed: 12/16/2022] Open
Abstract
Familial hypercholesterolemia (FH), a well-known lipid disease caused by inherited genetic defects in cholesterol uptake and metabolism is underdiagnosed in many countries including Saudi Arabia. The present study aims to identify the molecular basis of severe clinical manifestations of FH patients from unrelated Saudi consanguineous families. Two Saudi families with multiple FH patients fulfilling the combined FH diagnostic criteria of Simon Broome Register, and the Dutch Lipid Clinic Network (DLCN) were recruited. LipidSeq, a targeted resequencing panel for monogenic dyslipidemias, was used to identify causative pathogenic mutation in these two families and in 92 unrelated FH cases. Twelve FH patients from two unrelated families were sharing a very rare, pathogenic and founder LDLR stop gain mutation i.e., c.2027delG (p.Gly676Alafs*33) in both the homozygous or heterozygous states, but not in unrelated patients. Based on the variant zygosity, a marked phenotypic heterogeneity in terms of LDL-C levels, clinical presentations and resistance to anti-lipid treatment regimen (ACE inhibitors, β-blockers, ezetimibe, statins) of the FH patients was observed. This loss-of-function mutation is predicted to alter the free energy dynamics of the transcribed RNA, leading to its instability. Protein structural mapping has predicted that this non-sense mutation eliminates key functional domains in LDLR, which are essential for the receptor recycling and LDL particle binding. In conclusion, by combining genetics and structural bioinformatics approaches, this study identified and characterized a very rare FH causative LDLR pathogenic variant determining both clinical presentation and resistance to anti-lipid drug treatment.
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Affiliation(s)
- Zuhier Ahmed Awan
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Genetics, Al Borg Medical Laboratories, Jeddah, Saudi Arabia
| | - Omran M Rashidi
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.,Princess Al-Jawhara Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Bandar Ali Al-Shehri
- Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.,Princess Al-Jawhara Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Kaiser Jamil
- Department of Genetics, Bhagwan Mahavir Medical Research Center (BMMRC), Hyderabad, India
| | - Ramu Elango
- Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.,Princess Al-Jawhara Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Jumana Y Al-Aama
- Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.,Princess Al-Jawhara Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Robert A Hegele
- Departments of Medicine and Biochemistry, Schulich School of Medicine and Dentistry, Robarts Research Institute, Western University, London, ON, Canada
| | - Babajan Banaganapalli
- Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.,Princess Al-Jawhara Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Noor A Shaik
- Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.,Princess Al-Jawhara Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia
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15
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Soukup J, Zierhut HA, Ison HE. Universal Cholesterol Screening among Pediatric Primary Care Providers within California and Minnesota: A Qualitative Assessment of Barriers and Facilitators. J Pediatr 2021; 233:175-182.e2. [PMID: 33662342 DOI: 10.1016/j.jpeds.2021.02.065] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 02/21/2021] [Accepted: 02/24/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To assess current pediatric cholesterol screening practices, and attitudes, among pediatric primary care providers (PCPs) via qualitative semistructured interviews designed to identify barriers and facilitators to universal cholesterol screening practices recommended by the National Heart Blood and Lung Institute and the American Academy of Pediatrics. STUDY DESIGN An online survey and subsequent 30-minute semistructured phone interview were completed with PCPs from regions in Northern California and Minnesota (survey n = 25, interview n = 12). Interviews were qualitatively analyzed using the consolidated framework for implementation research to categorize barriers, facilitators, and strategies to increase pediatric cholesterol screening among PCPs. RESULTS PCPs from California (n = 8) and Minnesota (n = 4) consistently identified cost of cholesterol screening, particularly the cost of time due to competing visit priorities, as a barrier. A supportive learning environment, feelings of self-efficacy, access to resources, and well-established clinical networks with specialists (eg, cardiologists) were facilitators to screening. The perceived level of endorsement behind cholesterol screening within the clinic, perceived validity of national guidelines, and ability to adapt guidelines to existing clinical workflow were notable differentiators between high vs low self-reported screen rates. CONCLUSIONS Findings of this study suggest that efforts to increase universal pediatric cholesterol screening will likely require the development of strategies to increase provider education about the long-term benefits of cholesterol screening (knowledge and beliefs), and ensuring providers feel supported and empowered when assessing/acting on the results of this screening (self-efficacy, engaging leaders, networks, and communication).
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Affiliation(s)
- Jenna Soukup
- Department of Genetics, Cell Biology, & Development, University of Minnesota - Twin Cities, Minneapolis, MN
| | - Heather A Zierhut
- Department of Genetics, Cell Biology, & Development, University of Minnesota - Twin Cities, Minneapolis, MN
| | - Hannah E Ison
- Stanford Center for Inherited Cardiovascular Disease, Stanford Health Care, Stanford, CA; Division of Cardiology in the Department of Pediatrics, Stanford Medicine, Stanford, CA.
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16
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Hu P, Dharmayat KI, Stevens CA, Sharabiani MT, Jones RS, Watts GF, Genest J, Ray KK, Vallejo-Vaz AJ. Prevalence of Familial Hypercholesterolemia Among the General Population and Patients With Atherosclerotic Cardiovascular Disease. Circulation 2020; 141:1742-1759. [DOI: 10.1161/circulationaha.119.044795] [Citation(s) in RCA: 155] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background:
Contemporary studies suggest that familial hypercholesterolemia (FH) is more frequent than previously reported and increasingly recognized as affecting individuals of all ethnicities and across many regions of the world. Precise estimation of its global prevalence and prevalence across World Health Organization regions is needed to inform policies aiming at early detection and atherosclerotic cardiovascular disease (ASCVD) prevention. The present study aims to provide a comprehensive assessment and more reliable estimation of the prevalence of FH than hitherto possible in the general population (GP) and among patients with ASCVD.
Methods:
We performed a systematic review and meta-analysis including studies reporting on the prevalence of heterozygous FH in the GP or among those with ASCVD. Studies reporting gene founder effects and focused on homozygous FH were excluded. The search was conducted through Medline, Embase, Cochrane, and Global Health, without time or language restrictions. A random-effects model was applied to estimate the overall pooled prevalence of FH in the general and ASCVD populations separately and by World Health Organization regions.
Results:
From 3225 articles, 42 studies from the GP and 20 from populations with ASCVD were eligible, reporting on 7 297 363 individuals/24 636 cases of FH and 48 158 patients/2827 cases of FH, respectively. More than 60% of the studies were from Europe. Use of the Dutch Lipid Clinic Network criteria was the commonest diagnostic method. Within the GP, the overall pooled prevalence of FH was 1:311 (95% CI, 1:250–1:397; similar between children [1:364] and adults [1:303],
P
=0.60; across World Health Organization regions where data were available,
P
=0.29; and between population-based and electronic health records–based studies,
P
=0.82). Studies with ≤10 000 participants reported a higher prevalence (1:200–289) compared with larger cohorts (1:365–407;
P
<0.001). The pooled prevalence among those with ASCVD was 18-fold higher than in the GP (1:17 [95% CI, 1:12–1:24]), driven mainly by coronary artery disease (1:16; [95% CI, 1:12–1:23]). Between-study heterogeneity was large (
I
2
>95%). Tests assessing bias were nonsignificant (
P
>0.3).
Conclusions:
With an overall prevalence of 1:311, FH is among the commonest genetic disorders in the GP, similarly present across different regions of the world, and is more frequent among those with ASCVD. The present results support the advocacy for the institution of public health policies, including screening programs, to identify FH early and to prevent its global burden.
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Affiliation(s)
- Pengwei Hu
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
- Department of Health Service, Logistics University of People’s Armed Police Force, Tianjin, China (P.H.)
| | - Kanika I. Dharmayat
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
| | - Christophe A.T. Stevens
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
| | - Mansour T.A. Sharabiani
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
| | - Rebecca S. Jones
- School of Public Health, and Charing Cross Campus Library (R.S.J.), Imperial College London, UK
| | - Gerald F. Watts
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth (G.F.W.)
- Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Australia (G.F.W.)
| | - Jacques Genest
- McGill University Health Center, Montreal, QC, Canada (J.G.)
| | - Kausik K. Ray
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
| | - Antonio J. Vallejo-Vaz
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
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17
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Danchin N, Farnier M, Zeller M, Puymirat E, Cottin Y, Belle L, Lemesle G, Cayla G, Ohlmann P, Jacquemin L, Perret T, Angoulvant D, Albert F, Ferrières J, Schiele F, Simon T. Long-term outcomes after acute myocardial infarction in patients with familial hypercholesterolemia: The French registry of Acute ST-elevation and non-ST-elevation Myocardial Infarction program. J Clin Lipidol 2020; 14:352-360.e6. [PMID: 32527469 DOI: 10.1016/j.jacl.2020.03.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 03/20/2020] [Accepted: 03/29/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Patients with familial hypercholesterolemia (FH) are prone to develop acute myocardial infarction (AMI) at a younger age. OBJECTIVES The aim of the present study was to assess 5-year outcomes after AMI according to the presence of FH in a large multicenter cohort of patients. METHODS The French registry of Acute ST-elevation and non-ST-elevation Myocardial Infarction consists of nationwide surveys recruiting patients over a 1- to 2-month period every 5 years. Patients recruited in 2005 and 2010 were followed up to 5 years. RESULTS Of 5147 patients discharged alive and in whom FH status could be assessed, 2.8% had probable/definite FH, using an adapted Dutch Lipid Clinic score. They were 12 years younger, on average, than non-FH patients. Before adjustment, their 5-year survival and event-free survival did not differ from non-FH patients. After adjustment, however, both mortality (hazard ratio [HR] 1.82, 95% confidence interval [CI] 1.15-2.89; P = .011) and the combined endpoint of death, AMI, or stroke (HR 2.22, 95% CI: 1.51-3.26; P < .001) were higher in FH patients. The higher risk in FH patients was also present in patients receiving high-intensity lipid-lowering therapy at discharge: adjusted HR for mortality 2.29, 95% CI: 1.18 to 4.47, P = .015; HR for cardiovascular events 2.57, 95% CI: 1.48 to 4.48, P = .001. Concordant results were observed in propensity score-marched cohorts. CONCLUSIONS The risk of long-term mortality and cardiovascular events is twice as high in FH than in non-FH patients, when adjusted on baseline characteristics, even for those receiving high-intensity lipid-lowering therapy. Additional therapeutic measures are needed in these patients.
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Affiliation(s)
- Nicolas Danchin
- Department of Cardiology, Hôpital Européen Georges Pompidou, Assistance-Publique Hôpitaux de Paris, Université Paris Descartes, Paris, France.
| | - Michel Farnier
- Department of Cardiology, Hôpital du Bocage, EA 7460 Physiopathologie et Epidémiologie Cérébro-Cardiovasculaires (PEC2), Université de Bourgogne-Franche Comté, Dijon, France
| | - Marianne Zeller
- Department of Cardiology, Hôpital du Bocage, EA 7460 Physiopathologie et Epidémiologie Cérébro-Cardiovasculaires (PEC2), Université de Bourgogne-Franche Comté, Dijon, France
| | - Etienne Puymirat
- Department of Cardiology, Hôpital Européen Georges Pompidou, Assistance-Publique Hôpitaux de Paris, Université Paris Descartes, Paris, France
| | - Yves Cottin
- Department of Cardiology, Hôpital du Bocage, EA 7460 Physiopathologie et Epidémiologie Cérébro-Cardiovasculaires (PEC2), Université de Bourgogne-Franche Comté, Dijon, France
| | - Loïc Belle
- Department of Cardiology, Centre Hospitalier Annecy Genevois, Annecy, France
| | - Gilles Lemesle
- USIC et Centre Hémodynamique, Institut Cœur Poumon, Centre Hospitalier Universitaire de Lille, Lille, France; Faculté de Médecine de l'Université de Lille, Lille, France; INSERM UMR 1011, Institut Pasteur de Lille, Lille, France; FACT (French Alliance for Cardiovascular Trials), Paris, France
| | - Guillaume Cayla
- Department of Cardiology, Centre Hospitalier Universitaire de Nîmes, Université de Montpellier, Nîmes, France
| | - Patrick Ohlmann
- Department of Cardiology, Centre Hospitalier Universitaire de Strasbourg, Université de Strasbourg, Strasbourg, France
| | | | - Thibault Perret
- Department of Cardiology, Hôpital Saint Joseph et Saint Luc, Lyon, France
| | - Denis Angoulvant
- Department of Cardiology, Hôpital Trousseau, Université de Tours, Tours, France
| | - Franck Albert
- Department of Cardiology, Centre Hospitalier de Chartres, Le Coudray, France
| | - Jean Ferrières
- Department of Cardiology, Hôpital Jean Minjoz, Toulouse University Hospital, Toulouse University School of Medicine, INSERM UMR 1027, Toulouse, France
| | - François Schiele
- Department of Cardiology, Hôpital Jean Minjoz, Hôpital Jean Minjoz, Université de Bourgogne-Franche-Comté, Besançon, France
| | - Tabassome Simon
- Department of Pharmacology, Hôpital St Antoine, Université Pierre et Marie Curie, Paris, France
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18
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Ripatti P, Rämö JT, Mars NJ, Fu Y, Lin J, Söderlund S, Benner C, Surakka I, Kiiskinen T, Havulinna AS, Palta P, Freimer NB, Widén E, Salomaa V, Tukiainen T, Pirinen M, Palotie A, Taskinen MR, Ripatti S. Polygenic Hyperlipidemias and Coronary Artery Disease Risk. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2020; 13:e002725. [PMID: 32154731 PMCID: PMC7176338 DOI: 10.1161/circgen.119.002725] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 01/24/2020] [Indexed: 01/19/2023]
Abstract
BACKGROUND Hyperlipidemia is a highly heritable risk factor for coronary artery disease (CAD). While monogenic familial hypercholesterolemia associates with severely increased CAD risk, it remains less clear to what extent a high polygenic load of a large number of LDL (low-density lipoprotein) cholesterol (LDL-C) or triglyceride (TG)-increasing variants associates with increased CAD risk. METHODS We derived polygenic risk scores (PRSs) with ≈6M variants separately for LDL-C and TG with weights from a UK Biobank-based genome-wide association study with ≈324K samples. We evaluated the impact of polygenic hypercholesterolemia and hypertriglyceridemia to lipid levels in 27 039 individuals from the National FINRISK Study (FINRISK) cohort and to CAD risk in 135 638 individuals (13 753 CAD cases) from the FinnGen project (FinnGen). RESULTS In FINRISK, median LDL-C was 3.39 (95% CI, 3.38-3.40) mmol/L, and it ranged from 2.87 (95% CI, 2.82-2.94) to 3.78 (95% CI, 3.71-3.83) mmol/L between the lowest and highest 5% of the LDL-C PRS distribution. Median TG was 1.19 (95% CI, 1.18-1.20) mmol/L, ranging from 0.97 (95% CI, 0.94-1.00) to 1.55 (95% CI, 1.48-1.61) mmol/L with the TG PRS. In FinnGen, comparing the highest 5% of the PRS to the lowest 95%, CAD odds ratio was 1.36 (95% CI, 1.24-1.49) for the LDL-C PRS and 1.31 (95% CI, 1.19-1.43) for the TG PRS. These estimates were only slightly attenuated when adjusting for a CAD PRS (odds ratio, 1.26 [95% CI, 1.16-1.38] for LDL-C and 1.24 [95% CI, 1.13-1.36] for TG PRS). CONCLUSIONS The CAD risk associated with a high polygenic load for lipid-increasing variants was proportional to their impact on lipid levels and partially overlapping with a CAD PRS. In contrast with a PRS for CAD, the lipid PRSs point to known and directly modifiable risk factors providing additional guidance for clinical translation.
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Affiliation(s)
- Pietari Ripatti
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
| | - Joel T. Rämö
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
| | - Nina J. Mars
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
| | - Yu Fu
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
| | - Jake Lin
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
| | - Sanni Söderlund
- Research Programs Unit, Diabetes and Obesity (S.S., M.-R.T.), University of Helsinki, Helsinki, Finland
- Department of Internal Medicine, Helsinki University Hospital, Helsinki, Finland (S.S.)
| | - Christian Benner
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
| | - Ida Surakka
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI (I.S.)
| | - Tuomo Kiiskinen
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
| | - Aki S. Havulinna
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland (A.S.H., V.S.)
| | - Priit Palta
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
| | - Nelson B. Freimer
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behaviour, University of California, Los Angeles, CA (N.B.F.)
| | - Elisabeth Widén
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
| | - Veikko Salomaa
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland (A.S.H., V.S.)
| | - Taru Tukiainen
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
| | - Matti Pirinen
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
- Department of Public Health, Clinicum, Faculty of Medicine (M.P., S.R.), University of Helsinki, Helsinki, Finland
- Department of Mathematics and Statistics, Faculty of Science (M.P.), University of Helsinki, Helsinki, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
- Program in Medical and Population Genetics (A.P.), Broad Institute of MIT and Harvard, Cambridge, MA
- Stanley Center for Psychiatric Research (A.P.), Broad Institute of MIT and Harvard, Cambridge, MA
- Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry (A.P.), Massachusetts General Hospital, Boston, MA
- Analytic and Translational Genetics Unit, Department of Medicine (A.P.), Massachusetts General Hospital, Boston, MA
- Department of Neurology (A.P.), Massachusetts General Hospital, Boston, MA
| | - Marja-Riitta Taskinen
- Research Programs Unit, Diabetes and Obesity (S.S., M.-R.T.), University of Helsinki, Helsinki, Finland
- Clinical Research Institute HUCH, Ltd, Helsinki, Finland (M.-R.T.)
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (HiLIFE) (P.R., J.T.R., N.J.M., Y.F., J.L., C.B., I.S., T.K., A.S.H., P.P., E.W., T.T., M.P., A.P., S.R.), University of Helsinki, Helsinki, Finland
- Department of Public Health, Clinicum, Faculty of Medicine (M.P., S.R.), University of Helsinki, Helsinki, Finland
- Broad Institute of MIT and Harvard, Cambridge, MA (S.R.)
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19
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Hsiung YC, Lin PC, Chen CS, Tung YC, Yang WS, Chen PL, Su TC. Identification of a novel LDLR disease-causing variant using capture-based next-generation sequencing screening of familial hypercholesterolemia patients in Taiwan. Atherosclerosis 2019; 277:440-447. [PMID: 30270083 DOI: 10.1016/j.atherosclerosis.2018.08.022] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2018] [Revised: 08/10/2018] [Accepted: 08/21/2018] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND AIMS Familial hypercholesterolemia (FH) is an autosomal dominant disorder with paramount health impacts. However, less than 1% FH patients in Taiwan were formally diagnosed, partly due to the lack of reliable cost-effective genetic testing. We aimed at using a next-generation sequencing (NGS) platform as the clinical genetic testing method for FH. METHODS We designed probes to capture the whole LDLR gene and all coding sequences of APOB and PCSK9, and then sequenced with Illumina MiSeq platform (2 × 300 bps). The entire pipeline was tested on 13 DNA samples with known causative variants (including 3 large duplications and 2 large deletions). Then we enrolled a new cohort of 28 unrelated FH patients with Dutch Lipid Clinic Network score ≥5. Relatives were included in the cascade screening. RESULTS From the 13 DNA samples, we correctly identify all the variants, including big duplications and deletions. From the new cohort, we identified the causative variants in 21 of the 28 unrelated probands; five of them carrying a novel splice site variant c.1186+2T>G in LDLR. Among the family members, the concentration of LDL cholesterol was 7.82 ± 2.13 mmol/l in LDLR c.1186+2T>G carrier group (n = 26), and was significantly higher than 3.18 ± 1.36 mmol/l in the non-carrier group (n = 25). CONCLUSIONS This is the first capture-based NGS testing for FH to cover the whole LDLR genomic region, and therefore making reliable structural variation detection. This panel can comprehensively detect disease-causing variants in LDLR, APOB, and PCSK9 for FH patients.
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Affiliation(s)
- Yun-Chieh Hsiung
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Po-Chih Lin
- Department of Internal Medicine and Cardiovascular Center, National Taiwan University Hospital, Taipei, Taiwan
| | - Chih-Shan Chen
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yi-Ching Tung
- Department of Pediatrics, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Wei-Shiung Yang
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Research Center for Developmental Biology and Regenerative Medicine, National Taiwan University, Taipei, Taiwan; Department of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Pei-Lung Chen
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Research Center for Developmental Biology and Regenerative Medicine, National Taiwan University, Taipei, Taiwan; Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan.
| | - Ta-Chen Su
- Department of Internal Medicine and Cardiovascular Center, National Taiwan University Hospital, Taipei, Taiwan; Institute of Occupational Medicine and Industrial Hygiene, National Taiwan University College of Public Health, Taipei, Taiwan.
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20
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Groselj U, Kovac J, Sustar U, Mlinaric M, Fras Z, Podkrajsek KT, Battelino T. Universal screening for familial hypercholesterolemia in children: The Slovenian model and literature review. Atherosclerosis 2019; 277:383-391. [PMID: 30270075 DOI: 10.1016/j.atherosclerosis.2018.06.858] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2018] [Revised: 06/06/2018] [Accepted: 06/14/2018] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND AIMS Familial hypercholesterolemia (FH) is arguably the most common monogenic disorder in humans, but severely under-diagnosed. Individuals with untreated FH have an over 10-fold elevated risk of cardiovascular complications as compared to unaffected individuals; early diagnosis and timely management substantially reduce this risk. Slovenia has gradually implemented the program of universal FH screening in pre-school children, consisting of a two step approach: (1) universal hypercholesterolemia screening in pre-school children at the primary care level; (2) genetic FH screening in children referred to the tertiary care level according to clinical guidelines (with additional cascade screening of family members). The program is presented in detail. METHODS We analyzed retrospective data (2012-2016), to assess the efficiency of the universal FH screening program. In that period, 280 children (59.3% female) were referred to our center through the program for having TC > 6 mmol/L (231.7 mg/dL) or >5 mmol/L (193.1 mg/dL), with a positive family history of premature cardiovascular complications at the universal hypercholesterolemia screening. RESULTS 170 (57.1% female) of them were fully genotyped, 44.7% had an FH disease-causing variant (28.8% in LDLR gene, 15.9% in APOB, none in PCSK9), one patient was LIPA positive, and 40.9% of the remaining patients carried an ApoE4 isoform; genetic analysis is still ongoing for one-third of the referred patients. For almost every child with confirmed FH, one parent had highly probable FH. CONCLUSIONS FH was confirmed in almost half of the referred children, detected through the universal screening for hypercholesterolemia.
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Affiliation(s)
- Urh Groselj
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, University Medical Center Ljubljana, Ljubljana, Slovenia
| | - Jernej Kovac
- Unit for Special Laboratory Diagnostics, University Children's Hospital, University Medical Center Ljubljana, Ljubljana, Slovenia
| | - Ursa Sustar
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, University Medical Center Ljubljana, Ljubljana, Slovenia; Unit for Special Laboratory Diagnostics, University Children's Hospital, University Medical Center Ljubljana, Ljubljana, Slovenia
| | - Matej Mlinaric
- Department of Internal Medicine, General Hospital Murska Sobota, Murska Sobota, Slovenia
| | - Zlatko Fras
- Department of Vascular Diseases, Division of Internal Medicine, University Medical Center Ljubljana, Ljubljana, Slovenia; Department of Internal Medicine, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Katarina Trebusak Podkrajsek
- Unit for Special Laboratory Diagnostics, University Children's Hospital, University Medical Center Ljubljana, Ljubljana, Slovenia; Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Tadej Battelino
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, University Medical Center Ljubljana, Ljubljana, Slovenia; Department of Pediatrics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
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21
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Rämö JT, Ripatti P, Tabassum R, Söderlund S, Matikainen N, Gerl MJ, Klose C, Surma MA, Stitziel NO, Havulinna AS, Pirinen M, Salomaa V, Freimer NB, Jauhiainen M, Palotie A, Taskinen MR, Simons K, Ripatti S. Coronary Artery Disease Risk and Lipidomic Profiles Are Similar in Hyperlipidemias With Family History and Population-Ascertained Hyperlipidemias. J Am Heart Assoc 2019; 8:e012415. [PMID: 31256696 PMCID: PMC6662358 DOI: 10.1161/jaha.119.012415] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Background We asked whether, after excluding familial hypercholesterolemia, individuals with high low‐density lipoprotein cholesterol (LDL‐C) or triacylglyceride levels and a family history of the same hyperlipidemia have greater coronary artery disease risk or different lipidomic profiles compared with population‐based hyperlipidemias. Methods and Results We determined incident coronary artery disease risk for 755 members of 66 hyperlipidemic families (≥2 first‐degree relatives with similar hyperlipidemia) and 19 644 Finnish FINRISK population study participants. We quantified 151 circulating lipid species from 550 members of 73 hyperlipidemic families and 897 FINRISK participants using mass spectrometric shotgun lipidomics. Familial hypercholesterolemia was excluded using functional LDL receptor testing and genotyping. Hyperlipidemias (LDL‐C or triacylglycerides >90th population percentile) associated with increased coronary artery disease risk in meta‐analysis of the hyperlipidemic families and the population cohort (high LDL‐C: hazard ratio, 1.74 [95% CI, 1.48–2.04]; high triacylglycerides: hazard ratio, 1.38 [95% CI, 1.09–1.74]). Risk estimates were similar in the family and population cohorts also after adjusting for lipid‐lowering medication. In lipidomic profiling, high LDL‐C associated with 108 lipid species, and high triacylglycerides associated with 131 lipid species in either cohort (at 5% false discovery rate; P‐value range 0.038–2.3×10−56). Lipidomic profiles were highly similar for hyperlipidemic individuals in the families and the population (LDL‐C: r=0.80; triacylglycerides: r=0.96; no lipid species deviated between the cohorts). Conclusions Hyperlipidemias with family history conferred similar coronary artery disease risk as population‐based hyperlipidemias. We identified distinct lipidomic profiles associated with high LDL‐C and triacylglycerides. Lipidomic profiles were similar between hyperlipidemias with family history and population‐ascertained hyperlipidemias, providing evidence of similar and overlapping underlying mechanisms.
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Affiliation(s)
- Joel T Rämö
- 1 Institute for Molecular Medicine Finland HiLIFE University of Helsinki Finland
| | - Pietari Ripatti
- 1 Institute for Molecular Medicine Finland HiLIFE University of Helsinki Finland
| | - Rubina Tabassum
- 1 Institute for Molecular Medicine Finland HiLIFE University of Helsinki Finland
| | - Sanni Söderlund
- 2 Research Programs Unit Clinical and Molecular Metabolism University of Helsinki Finland.,3 Endocrinology Abdominal Center Helsinki University Hospital Helsinki Finland
| | - Niina Matikainen
- 2 Research Programs Unit Clinical and Molecular Metabolism University of Helsinki Finland.,3 Endocrinology Abdominal Center Helsinki University Hospital Helsinki Finland
| | | | | | - Michal A Surma
- 4 Lipotype GmbH Dresden Germany.,5 Łukasiewicz Research Network-PORT Polish Center for Technology Development Wroclaw Poland
| | - Nathan O Stitziel
- 6 Cardiovascular Division Department of Medicine Washington University School of Medicine St. Louis MO.,7 Department of Genetics Washington University School of Medicine St. Louis MO.,8 McDonnell Genome Institute Washington University School of Medicine St. Louis MO
| | - Aki S Havulinna
- 1 Institute for Molecular Medicine Finland HiLIFE University of Helsinki Finland.,9 National Institute for Health and Welfare Helsinki Finland
| | - Matti Pirinen
- 1 Institute for Molecular Medicine Finland HiLIFE University of Helsinki Finland.,10 Department of Mathematics and Statistics Faculty of Science University of Helsinki Finland.,16 Department of Public Health Clinicum Faculty of Medicine University of Helsinki Finland
| | - Veikko Salomaa
- 9 National Institute for Health and Welfare Helsinki Finland
| | - Nelson B Freimer
- 11 Center for Neurobehavioral Genetics Semel Institute for Neuroscience and Human Behavior University of California Los Angeles CA
| | - Matti Jauhiainen
- 9 National Institute for Health and Welfare Helsinki Finland.,12 Minerva Foundation Institute for Medical Research Biomedicum Helsinki Finland
| | - Aarno Palotie
- 1 Institute for Molecular Medicine Finland HiLIFE University of Helsinki Finland.,13 Program in Medical and Population Genetics and The Stanley Center for Psychiatric Research The Broad Institute of MIT and Harvard Cambridge MA.,14 Psychiatric and Neurodevelopmental Genetics Unit Department of Psychiatry, Analytic and Translational Genetics Unit Department of Medicine, and the Department of Neurology Massachusetts General Hospital Boston MA
| | - Marja-Riitta Taskinen
- 2 Research Programs Unit Clinical and Molecular Metabolism University of Helsinki Finland
| | - Kai Simons
- 4 Lipotype GmbH Dresden Germany.,15 Max Planck Institute of Cell Biology and Genetics Dresden Germany
| | - Samuli Ripatti
- 1 Institute for Molecular Medicine Finland HiLIFE University of Helsinki Finland.,13 Program in Medical and Population Genetics and The Stanley Center for Psychiatric Research The Broad Institute of MIT and Harvard Cambridge MA.,16 Department of Public Health Clinicum Faculty of Medicine University of Helsinki Finland
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22
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Patel P, Hu Y, Kolinovsky A, Geng Z, Ruhl J, Krishnamurthy S, deRichemond C, Khan A, Kirchner HL, Metpally R, Jones LK, Sturm AC, Carey D, Snyder S, Williams MS, Mehra VC. Hidden Burden of Electronic Health Record-Identified Familial Hypercholesterolemia: Clinical Outcomes and Cost of Medical Care. J Am Heart Assoc 2019; 8:e011822. [PMID: 31256702 PMCID: PMC6662375 DOI: 10.1161/jaha.118.011822] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Background Familial hypercholesterolemia (FH), is a historically underdiagnosed, undertreated, high‐risk condition that is associated with a high burden of cardiovascular morbidity and mortality. In this study, we use a population‐based approach using electronic health record (EHR)‐based algorithms to identify FH. We report the major adverse cardiovascular events, mortality, and cost of medical care associated with this diagnosis. Methods and Results In our 1.18 million EHR‐eligible cohort, International Classification of Diseases, Ninth Revision (ICD‐9) code‐defined hyperlipidemia was categorized into FH and non‐FH groups using an EHR algorithm designed using the modified Dutch Lipid Clinic Network criteria. Major adverse cardiovascular events, mortality, and cost of medical care were analyzed. A priori associated variables/confounders were used for multivariate analyses using binary logistic regression and linear regression with propensity score–based weighted methods as appropriate. EHR FH was identified in 32 613 individuals, which was 2.7% of the 1.18 million EHR cohort and 13.7% of 237 903 patients with hyperlipidemia. FH had higher rates of myocardial infarction (14.77% versus 8.33%; P<0.0001), heart failure (11.82% versus 10.50%; P<0.0001), and, after adjusting for traditional risk factors, significantly correlated to a composite major adverse cardiovascular events variable (odds ratio, 4.02; 95% CI, 3.88–4.16; P<0.0001), mortality (odds ratio, 1.20; CI, 1.15–1.26; P<0.0001), and higher total revenue per‐year (incidence rate ratio, 1.30; 95% CI, 1.28–1.33; P<0.0001). Conclusions EHR‐based algorithms discovered a disproportionately high prevalence of FH in our medical cohort, which was associated with worse outcomes and higher costs of medical care. This data‐driven approach allows for a more precise method to identify traditionally high‐risk groups within large populations allowing for targeted prevention and therapeutic strategies.
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Affiliation(s)
- Prashant Patel
- 1 Department of Cardiology Geisinger Clinic and Medical Center Danville PA
| | - Yirui Hu
- 2 Department of Biomedical and Translational Informatics Geisinger Clinic Danville PA
| | - Amy Kolinovsky
- 2 Department of Biomedical and Translational Informatics Geisinger Clinic Danville PA
| | - Zhi Geng
- 3 Division of Health Economics Geisinger Clinic Danville PA
| | - Jeffrey Ruhl
- 1 Department of Cardiology Geisinger Clinic and Medical Center Danville PA
| | | | | | - Ayesha Khan
- 1 Department of Cardiology Geisinger Clinic and Medical Center Danville PA
| | - H Lester Kirchner
- 2 Department of Biomedical and Translational Informatics Geisinger Clinic Danville PA
| | | | - Laney K Jones
- 6 Center for Pharmacy Innovation and Outcomes Geisinger Danville PA
| | - Amy C Sturm
- 5 Genomic Medicine Institute Geisinger Danville PA
| | - David Carey
- 4 Weis Center for Research Geisinger Clinic Danville PA
| | - Susan Snyder
- 3 Division of Health Economics Geisinger Clinic Danville PA
| | | | - Vishal C Mehra
- 1 Department of Cardiology Geisinger Clinic and Medical Center Danville PA
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Sánchez-Hernández RM, Tugores A, Nóvoa FJ, Brito-Casillas Y, Expósito-Montesdeoca AB, Garay P, Bea AM, Riaño M, Pocovi M, Civeira F, Wägner AM, Boronat M. The island of Gran Canaria: A genetic isolate for familial hypercholesterolemia. J Clin Lipidol 2019; 13:618-626. [PMID: 31153816 DOI: 10.1016/j.jacl.2019.04.099] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 04/24/2019] [Accepted: 04/30/2019] [Indexed: 11/16/2022]
Abstract
BACKGROUND Genetic diagnosis of familial hypercholesterolemia (FH) has not been universally performed in the Canary Islands (Spain). OBJECTIVES This study aimed to genetically characterize a cohort of patients with FH in the island of Gran Canaria. METHODS Study subjects were 70 unrelated index cases attending a tertiary hospital in Gran Canaria, with a clinical diagnosis of FH, according to the criteria of the Dutch Lipid Clinic Network. Given that 7 of the first 10 cases with positive genetic study were carriers of a single mutation in the LDLR gene [p.(Tyr400_Phe402del)], a specific polymerase chain reaction-based assay was developed for the detection of this variant as a first screening step on the remaining subjects. In those without this mutation, molecular diagnosis was completed using a next-generation sequencing panel including LDLR, APOB, PCSK9, LDLRAP1, APOE, STAP1, and LIPA genes and incorporating copy number variation detection in LDLR. RESULTS On the whole, 44 subjects (62%) had a positive genetic study, of whom 30 (68%) were heterozygous carriers of the p.(Tyr400_Phe402del) variant. Eleven subjects carried other mutations in LDLR, including the novel mutation NM_000527.4: c.877dupG; NP_000518.1: p.(Asp293Glyfs*8). An unclassified PCSK9 gene variant was found in one subject [(NM_174936.3:c.1496G>A; NP_777596.2: p.(Arg499His)]. Other single patients had mutations in APOB (heterozygous) and in LIPA (homozygous). All identified variants co-segregated with the disease phenotype. CONCLUSIONS These findings suggest a founder effect for the p.(Tyr400_Phe402del) LDLR mutation in Gran Canaria. A cost-effective local screening strategy for genetic diagnosis of FH could be implemented in this region.
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Affiliation(s)
- Rosa M Sánchez-Hernández
- Sección de Endocrinología y Nutrición, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria, Las Palmas de Gran Canaria, Spain; Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Antonio Tugores
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain; Unidad de Investigación, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Francisco J Nóvoa
- Sección de Endocrinología y Nutrición, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria, Las Palmas de Gran Canaria, Spain; Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Yeray Brito-Casillas
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Ana B Expósito-Montesdeoca
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Paloma Garay
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain; Unidad de Investigación, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Ana M Bea
- Hospital Universitario Miguel Servet, IIS Aragón, CIBERCV, Universidad de Zaragoza, Zaragoza, Spain
| | - Marta Riaño
- Servicio de Bioquímica, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Miguel Pocovi
- Departamento de Bioquímica y Biología Molecular y Celular, Facultad de Ciencias, Universidad de Zaragoza & IIS Aragón, Zaragoza, Spain
| | - Fernando Civeira
- Hospital Universitario Miguel Servet, IIS Aragón, CIBERCV, Universidad de Zaragoza, Zaragoza, Spain
| | - Ana M Wägner
- Sección de Endocrinología y Nutrición, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria, Las Palmas de Gran Canaria, Spain; Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
| | - Mauro Boronat
- Sección de Endocrinología y Nutrición, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria, Las Palmas de Gran Canaria, Spain; Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
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Benedek P, Eriksson M, Duvefelt K, Freyschuss A, Frick M, Lundman P, Nylund L, Szummer K. Genetic testing for familial hypercholesterolemia among survivors of acute coronary syndrome. J Intern Med 2018; 284:674-684. [PMID: 29974534 DOI: 10.1111/joim.12812] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Familial hypercholesterolemia could be prevalent among patients with acute coronary syndrome. OBJECTIVE To investigate both the frequency of causative mutations for familial hypercholesterolemia (FH) and the optimal selection of patients for genetic testing among patients with an acute coronary syndrome (ACS). METHODS One hundred and sixteen patients with an ACS during 2009-2015 were identified through the SWEDEHEART registry. Patients who had either a high total cholesterol level ≥7 mmol L-1 combined with a triglyceride level ≤2.6 mmol L-1 , or were treated with lipid-lowering medication and had a total cholesterol level >4.9 mmol L-1 and a triglyceride level ≤2.6 mmol L-1 were included. Genetic testing was performed first with a regionally designed FH mutation panel (118 mutations), followed by testing with a commercially available FH genetic analysis (Progenika Biopharma). RESULTS A total of 6.9% (8/116) patients had a FH-causative mutation, all in the LDL-receptor. Five patients were detected on the panel, and further testing of the remaining 111 patients detected an additional 3 FH-causative mutations. Baseline characteristics were similar in FH-positive and FH-negative patients with respect to age, gender, prior ACS and diabetes. Patients with a FH-causative mutation had higher Dutch Lipid Clinical Network (DLCN) score (5.5 (5.0-6.5) vs 3.0 (2.0-5.0), P < 0.001) and a higher low-density lipoprotein level (5.7 (4.7-6.5) vs 4.9 (3.5-5.4), P = 0.030). The Dutch Lipid Clinical Network (DLCN) score had a good discrimination with an area under the curve of 0.856 (95% CI 0.763-0.949). CONCLUSION Genetic testing for FH should be considered in patients with ACS and high DLCN score.
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Affiliation(s)
- P Benedek
- Department of Medicine, Karolinska Institutet, Huddinge, Stockholm, Sweden.,Department of Endocrinology, Karolinska University Hospital, Stockholm, Sweden
| | - M Eriksson
- Department of Medicine, Karolinska Institutet, Huddinge, Stockholm, Sweden.,Department of Endocrinology, Karolinska University Hospital, Stockholm, Sweden
| | - K Duvefelt
- Mutation Analysis Facility, Clinical Research Center, Karolinska University Hospital, Stockholm, Sweden
| | - A Freyschuss
- Department of Medicine, Section of Cardiology, Karolinska Institutet, Huddinge, Stockholm, Sweden.,Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - M Frick
- Department of Cardiology, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - P Lundman
- Division of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - L Nylund
- Department of Medicine, Section of Cardiology, Karolinska Institutet, Huddinge, Stockholm, Sweden.,Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - K Szummer
- Department of Medicine, Section of Cardiology, Karolinska Institutet, Huddinge, Stockholm, Sweden.,Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
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25
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Vallejo-Vaz AJ, Ray KK. Epidemiology of familial hypercholesterolaemia: Community and clinical. Atherosclerosis 2018; 277:289-297. [DOI: 10.1016/j.atherosclerosis.2018.06.855] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2018] [Revised: 06/06/2018] [Accepted: 06/14/2018] [Indexed: 01/10/2023]
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26
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Vallejo-Vaz AJ, De Marco M, Stevens CAT, Akram A, Freiberger T, Hovingh GK, Kastelein JJP, Mata P, Raal FJ, Santos RD, Soran H, Watts GF, Abifadel M, Aguilar-Salinas CA, Al-Khnifsawi M, AlKindi FA, Alnouri F, Alonso R, Al-Rasadi K, Al-Sarraf A, Ashavaid TF, Binder CJ, Bogsrud MP, Bourbon M, Bruckert E, Chlebus K, Corral P, Descamps O, Durst R, Ezhov M, Fras Z, Genest J, Groselj U, Harada-Shiba M, Kayikcioglu M, Lalic K, Lam CSP, Latkovskis G, Laufs U, Liberopoulos E, Lin J, Maher V, Majano N, Marais AD, März W, Mirrakhimov E, Miserez AR, Mitchenko O, Nawawi HM, Nordestgaard BG, Paragh G, Petrulioniene Z, Pojskic B, Postadzhiyan A, Reda A, Reiner Ž, Sadoh WE, Sahebkar A, Shehab A, Shek AB, Stoll M, Su TC, Subramaniam T, Susekov AV, Symeonides P, Tilney M, Tomlinson B, Truong TH, Tselepis AD, Tybjærg-Hansen A, Vázquez-Cárdenas A, Viigimaa M, Vohnout B, Widén E, Yamashita S, Banach M, Gaita D, Jiang L, Nilsson L, Santos LE, Schunkert H, Tokgözoğlu L, Car J, Catapano AL, Ray KK. Overview of the current status of familial hypercholesterolaemia care in over 60 countries - The EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC). Atherosclerosis 2018; 277:234-255. [PMID: 30270054 DOI: 10.1016/j.atherosclerosis.2018.08.051] [Citation(s) in RCA: 149] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 08/30/2018] [Accepted: 08/31/2018] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND AIMS Management of familial hypercholesterolaemia (FH) may vary across different settings due to factors related to population characteristics, practice, resources and/or policies. We conducted a survey among the worldwide network of EAS FHSC Lead Investigators to provide an overview of FH status in different countries. METHODS Lead Investigators from countries formally involved in the EAS FHSC by mid-May 2018 were invited to provide a brief report on FH status in their countries, including available information, programmes, initiatives, and management. RESULTS 63 countries provided reports. Data on FH prevalence are lacking in most countries. Where available, data tend to align with recent estimates, suggesting a higher frequency than that traditionally considered. Low rates of FH detection are reported across all regions. National registries and education programmes to improve FH awareness/knowledge are a recognised priority, but funding is often lacking. In most countries, diagnosis primarily relies on the Dutch Lipid Clinics Network criteria. Although available in many countries, genetic testing is not widely implemented (frequent cost issues). There are only a few national official government programmes for FH. Under-treatment is an issue. FH therapy is not universally reimbursed. PCSK9-inhibitors are available in ∼2/3 countries. Lipoprotein-apheresis is offered in ∼60% countries, although access is limited. CONCLUSIONS FH is a recognised public health concern. Management varies widely across countries, with overall suboptimal identification and under-treatment. Efforts and initiatives to improve FH knowledge and management are underway, including development of national registries, but support, particularly from health authorities, and better funding are greatly needed.
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Affiliation(s)
- Antonio J Vallejo-Vaz
- Imperial Centre for Cardiovascular Disease Prevention (ICCP), Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
| | - Martina De Marco
- Imperial Centre for Cardiovascular Disease Prevention (ICCP), Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
| | - Christophe A T Stevens
- Imperial Centre for Cardiovascular Disease Prevention (ICCP), Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom
| | | | - Tomas Freiberger
- Centre for Cardiovascular Surgery and Transplantation, Brno, Czech Republic; Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - G Kees Hovingh
- Department of Vascular Medicine, Academic Medical Centre, Amsterdam, the Netherlands
| | - John J P Kastelein
- Department of Vascular Medicine, Academic Medical Centre, Amsterdam, the Netherlands
| | - Pedro Mata
- Fundación Hipercolesterolemia Familiar, Madrid, Spain
| | - Frederick J Raal
- Division of Endocrinology & Metabolism, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Raul D Santos
- Heart Institute (InCor), University of Sao Paulo Medical School Hospital, Sao Paulo, Brazil; Hospital Israelita Albert Einstein, Sao Paulo, Brazil
| | - Handrean Soran
- University Department of Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
| | - Gerald F Watts
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia; Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, Australia; FH Australasia Network (FHAN), Australia
| | - Marianne Abifadel
- Laboratory of Biochemistry and Molecular Therapeutics, Faculty of Pharmacy, Pôle Technologie-Santé, Saint Joseph University, Beirut, Lebanon
| | | | - Mutaz Al-Khnifsawi
- Al-Qadisiyah University, Faculty of Medicine, Department of Internal Medicine, Diwaniya City, Iraq
| | | | - Fahad Alnouri
- Cardiovascular Prevention Unit, Prince Sultan Cardiac Centre Riyadh, Riyadh, Saudi Arabia
| | | | | | - Ahmad Al-Sarraf
- Laboratory Department, Kuwait Cancer Control Centre, Kuwait City, Kuwait
| | - Tester F Ashavaid
- P. D Hinduja National Hospital and Medical Research Centre, Mumbai, India
| | - Christoph J Binder
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Martin P Bogsrud
- Unit for Cardiac and Cardiovascular Genetics, Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian National Advisory Unit on Familial Hypercholesterolemia, Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Mafalda Bourbon
- Unidade I&D, Grupo de Investigação Cardiovascular, Departamento de Promoção da Saúde e Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa, Portugal; Faculty of Sciences, Biosystems & Integrative Sciences Institute (BioISI), University of Lisboa, Lisboa, Portugal
| | - Eric Bruckert
- Department of Endocrinology, Institut E3M et IHU Cardiométabolique (ICAN), Hôpital Pitié Salpêtrière, Paris, France
| | - Krzysztof Chlebus
- First Department of Cardiology, Medical University of Gdansk, Gdańsk, Poland; Clinical Centre of Cardiology, University Clinical Centre, Gdańsk, Poland
| | - Pablo Corral
- Pharmacology Department, School of Medicine, FASTA University, Mar del Plata, Argentina
| | | | - Ronen Durst
- Cardiology Department and Centre for Treatment and Prevention of Atherosclerosis, Hadassah Hebrew University Medical Centre, Jerusalem, Israel
| | - Marat Ezhov
- National Cardiology Research Centre, Ministry of Health of the Russian Federation, Russia
| | - Zlatko Fras
- University Medical Centre Ljubljana, Division of Medicine, Preventive Cardiology Unit, Ljubljana, Slovenia; Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Jacques Genest
- Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Urh Groselj
- University Medical Centre Ljubljana, University Children's Hospital, Department of Endocrinology, Diabetes and Metabolism, Ljubljana, Slovenia
| | - Mariko Harada-Shiba
- National Cerebral and Cardiovascular Centre Research Institute, Suita, Osaka, Japan
| | - Meral Kayikcioglu
- Ege University Medical School, Department of Cardiology, Izmir, Turkey
| | - Katarina Lalic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia; Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Centre of Serbia, Belgrade, Serbia
| | - Carolyn S P Lam
- National Heart Centre, Singapore; Duke-NUS Medical School, Singapore
| | - Gustavs Latkovskis
- Research Institute of Cardiology and Regenerative Medicine, Faculty of Medicine, University of Latvia, Pauls Stradins Clinical University Hospital, Riga, Latvia
| | - Ulrich Laufs
- Klinik und Poliklinikfür Kardiologie, Universitätsklinikum Leipzig, Germany
| | | | - Jie Lin
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Vincent Maher
- Advanced Lipid Management and Research (ALMAR) Centre, Ireland
| | | | - A David Marais
- University of Cape Town and National Health Laboratory Service, Cape Town, South Africa
| | - Winfried März
- Medizinische Klinik V (Nephrologie, Hypertensiologie, Rheumatologie, Endokrinologie, Diabetologie), Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim, Germany; Klinisches Institutfür Medizinische und Chemische Labordiagnostik, Medizinische Universität Graz, Graz, Austria; Synlab Akademie, Synlab Holding Deutschland GmbH, Mannheim und Augsburg, Germany; D-A-CH-Gesellschaft Prävention von Herz-Kreislauf-Erkrankungen e.V., Hamburg, Germany
| | - Erkin Mirrakhimov
- Kyrgyz State Medical Academy, Centre of Cardiology and Internal Diseases, Biskek, Kyrgizstan
| | - André R Miserez
- Diagene Research Institute, Swiss FH Center, Reinach, Switzerland; Faculty of Medicine, University of Basel, Basel, Switzerland
| | - Olena Mitchenko
- Dyslipidemia Department, State Institution National Scientific Centre "The M.D. Strazhesko Institute of Cardiology National Academy of Medical Sciences of Ukraine", Kiev, Ukraine
| | - Hapizah M Nawawi
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM) and Faculty of Medicine Universiti Teknologi MARA, Jalan Hospital, Sungai Buloh, Selangor, Malaysia
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry and the Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - György Paragh
- Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Zaneta Petrulioniene
- Vilnius University, Faculty of Medicine, Vilnius, Lithuania; Clinic of Cardiac and Vascular Diseases, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | | | - Arman Postadzhiyan
- Bulgarian Society of Cardiology, Medical University of Sofia, Sofia, Bulgaria
| | - Ashraf Reda
- Cardiology, Menofia University, Egypt; Egyptian Association of Vernacular Biology and Atherosclerosis (EAVA), Egypt
| | - Željko Reiner
- Department of Internal Medicine, Division of Metabolic Diseases, University Hospital Centre Zagreb, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Wilson E Sadoh
- Cardiology Unit, Department of Child Health, University of Benin Teaching Hospital, Benin City, Edo State, Nigeria
| | - Amirhossein Sahebkar
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Neurogenic Inflammation Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Abdullah Shehab
- Department of Internal Medicine, United Arab Emirates University-College of Medicine and Health Sciences, AlAin, United Arab Emirates
| | - Aleksander B Shek
- CAD and Atherosclerosis Laboratory, Republican Specialized Centre of Cardiology (RSCC), Ministry of Health of the Republic of Uzbekistan, Tashkent, Uzbekistan
| | - Mario Stoll
- Honorary Commission for Cardiovascular Health (CHSCV), Montevideo, Uruguay
| | - Ta-Chen Su
- Departments of Internal Medicine and Environmental & Occupational Medicine, Cardiovascular Centre, National Taiwan University Hospital, Taipei, Taiwan
| | - Tavintharan Subramaniam
- Diabetes Centre, Admiralty Medical Centre, Singapore; Division of Endocrinology, Khoo Teck Puat Hospital, Singapore; Clinical Research Unit, Khoo Teck Puat Hospital, Singapore
| | - Andrey V Susekov
- Faculty of Clinical Pharmacology and Therapeutics, Academy for Postgraduate Medical Education and Central Clinical Hospital, Academy of Medical Science, Moscow, Russia
| | | | - Myra Tilney
- Department of Medicine, Faculty of Medicine and Surgery, University of Malta, Malta; Lipid Clinic, Mater Dei Hospital, Malta
| | - Brian Tomlinson
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Thanh-Huong Truong
- Department of Cardiology, Hanoi Medical University, Hanoi, Viet Nam; Vietnam National Heart Institute, Bach Mai Hospital, Hanoi, Viet Nam
| | | | - Anne Tybjærg-Hansen
- Department of Clinical Biochemistry and the Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Denmark
| | | | - Margus Viigimaa
- Centre for Cardiovascular Medicine, North Estonia Medical Centre, Tallinn University of Technology, Tallinn, Estonia
| | - Branislav Vohnout
- Institute of Nutrition, FOZOS, Slovak Medical University, Bratislava, Slovakia; Coordination Centre for Familial Hyperlipoproteinemias, Slovak Medical University, Bratislava, Slovakia
| | - Elisabeth Widén
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Shizuya Yamashita
- Rinku General Medical Centre and Osaka University Graduate School of Medicine, Osaka, Japan
| | - Maciej Banach
- Department of Hypertension, Medical University of Lodz, Lodz, Poland
| | - Dan Gaita
- Universitatea de Medicina si Farmacie Victor Babes din Timisoara, Romania
| | - Lixin Jiang
- National Clinical Research Centre of Cardiovascular Diseases, Fuwai Hospital, National Centre for Cardiovascular Diseases, Beijing, China
| | - Lennart Nilsson
- Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Lourdes E Santos
- Cardinal Santos Medical Centre, University of the Philippines - Philippine General Hospital (UP-PGH), Philippines
| | - Heribert Schunkert
- Deutsches Herzzentrum München, Technische Universität München, Deutsches Zentrumfür Herz- und Kreislauferkrankungen (DZHK), Munich Heart Alliance, Germany
| | - Lale Tokgözoğlu
- Department of Cardiology, Hacettepe University, Ankara, Turkey
| | - Josip Car
- Global eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom; Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Alberico L Catapano
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy; IRCCS MultiMedica, Sesto S. Giovanni, Milan, Italy
| | - Kausik K Ray
- Imperial Centre for Cardiovascular Disease Prevention (ICCP), Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom
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Mytilinaiou M, Kyrou I, Khan M, Grammatopoulos DK, Randeva HS. Familial Hypercholesterolemia: New Horizons for Diagnosis and Effective Management. Front Pharmacol 2018; 9:707. [PMID: 30050433 PMCID: PMC6052892 DOI: 10.3389/fphar.2018.00707] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2018] [Accepted: 06/12/2018] [Indexed: 12/11/2022] Open
Abstract
Familial hypercholesterolemia (FH) is a common genetic cause of premature cardiovascular disease (CVD). The reported prevalence rates for both heterozygous FH (HeFH) and homozygous FH (HoFH) vary significantly, and this can be attributed, at least in part, to the variable diagnostic criteria used across different populations. Due to lack of consistent data, new global registries and unified guidelines are being formed, which are expected to advance current knowledge and improve the care of FH patients. This review presents a comprehensive overview of the pathophysiology, epidemiology, manifestations, and pharmacological treatment of FH, whilst summarizing the up-to-date relevant recommendations and guidelines. Ongoing research in FH seems promising and novel therapies are expected to be introduced in clinical practice in order to compliment or even substitute current treatment options, aiming for better lipid-lowering effects, fewer side effects, and improved clinical outcomes.
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Affiliation(s)
- Maria Mytilinaiou
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
| | - Ioannis Kyrou
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom.,Aston Medical Research Institute, Aston Medical School, Aston University, Birmingham, United Kingdom.,Division of Translational and Experimental Medicine, Warwick Medical School, University of Warwick, Coventry, United Kingdom.,Centre of Applied Biological and Exercise Sciences, Faculty of Health and Life Sciences, Coventry University, Coventry, United Kingdom
| | - Mike Khan
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
| | - Dimitris K Grammatopoulos
- Division of Translational and Experimental Medicine, Warwick Medical School, University of Warwick, Coventry, United Kingdom.,Institute of Precision Diagnostics and Translational Medicine, Coventry and Warwickshire Pathology Service, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
| | - Harpal S Randeva
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom.,Aston Medical Research Institute, Aston Medical School, Aston University, Birmingham, United Kingdom.,Division of Translational and Experimental Medicine, Warwick Medical School, University of Warwick, Coventry, United Kingdom.,Centre of Applied Biological and Exercise Sciences, Faculty of Health and Life Sciences, Coventry University, Coventry, United Kingdom.,Institute of Precision Diagnostics and Translational Medicine, Coventry and Warwickshire Pathology Service, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
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Martin AR, Karczewski KJ, Kerminen S, Kurki MI, Sarin AP, Artomov M, Eriksson JG, Esko T, Genovese G, Havulinna AS, Kaprio J, Konradi A, Korányi L, Kostareva A, Männikkö M, Metspalu A, Perola M, Prasad RB, Raitakari O, Rotar O, Salomaa V, Groop L, Palotie A, Neale BM, Ripatti S, Pirinen M, Daly MJ. Haplotype Sharing Provides Insights into Fine-Scale Population History and Disease in Finland. Am J Hum Genet 2018; 102:760-775. [PMID: 29706349 DOI: 10.1016/j.ajhg.2018.03.003] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Accepted: 02/28/2018] [Indexed: 01/23/2023] Open
Abstract
Finland provides unique opportunities to investigate population and medical genomics because of its adoption of unified national electronic health records, detailed historical and birth records, and serial population bottlenecks. We assembled a comprehensive view of recent population history (≤100 generations), the timespan during which most rare-disease-causing alleles arose, by comparing pairwise haplotype sharing from 43,254 Finns to that of 16,060 Swedes, Estonians, Russians, and Hungarians from geographically and linguistically adjacent countries with different population histories. We find much more extensive sharing in Finns, with at least one ≥ 5 cM tract on average between pairs of unrelated individuals. By coupling haplotype sharing with fine-scale birth records from more than 25,000 individuals, we find that although haplotype sharing broadly decays with geographical distance, there are pockets of excess haplotype sharing; individuals from northeast Finland typically share several-fold more of their genome in identity-by-descent segments than individuals from southwest regions. We estimate recent effective population-size changes through time across regions of Finland, and we find that there was more continuous gene flow as Finns migrated from southwest to northeast between the early- and late-settlement regions than was dichotomously described previously. Lastly, we show that haplotype sharing is locally enriched by an order of magnitude among pairs of individuals sharing rare alleles and especially among pairs sharing rare disease-causing variants. Our work provides a general framework for using haplotype sharing to reconstruct an integrative view of recent population history and gain insight into the evolutionary origins of rare variants contributing to disease.
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Affiliation(s)
- Alicia R Martin
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
| | - Konrad J Karczewski
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Sini Kerminen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland
| | - Mitja I Kurki
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland; Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Antti-Pekka Sarin
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland; National Institute for Health and Welfare of Finland, Helsinki 00271, Finland
| | - Mykyta Artomov
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Johan G Eriksson
- National Institute for Health and Welfare of Finland, Helsinki 00271, Finland; Folkhälsan Research Center, Helsinki 00290, Finland; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki 00014, Finland
| | - Tõnu Esko
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Estonian Genome Center, University of Tartu, Tartu 50090, Estonia
| | - Giulio Genovese
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Aki S Havulinna
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland; National Institute for Health and Welfare of Finland, Helsinki 00271, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland; Department of Public Health, University of Helsinki, Helsinki 00014, Finland
| | - Alexandra Konradi
- Almazov National Medical Research Centre, Saint Petersburg 197341, Russia; National Research University of Information Technologies, Mechanics, and Optics, Saint Petersburg 197101, Russia
| | - László Korányi
- Heart Center Foundation, Drug Research Centre, Balatonfured H-8230, Hungary
| | - Anna Kostareva
- Almazov National Medical Research Centre, Saint Petersburg 197341, Russia; National Research University of Information Technologies, Mechanics, and Optics, Saint Petersburg 197101, Russia
| | - Minna Männikkö
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu 90014, Finland
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu 50090, Estonia
| | - Markus Perola
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland; Estonian Genome Center, University of Tartu, Tartu 50090, Estonia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku University Hospital, Turku 20520, Finland
| | - Rashmi B Prasad
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku University Hospital, Turku 20520, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20520, Finland
| | - Oxana Rotar
- Almazov National Medical Research Centre, Saint Petersburg 197341, Russia
| | - Veikko Salomaa
- National Institute for Health and Welfare of Finland, Helsinki 00271, Finland
| | - Leif Groop
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland; Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
| | - Aarno Palotie
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland; Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Benjamin M Neale
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland; Department of Public Health, University of Helsinki, Helsinki 00014, Finland
| | - Matti Pirinen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland; Department of Public Health, University of Helsinki, Helsinki 00014, Finland; Helsinki Institute for Information Technology and Department of Mathematics and Statistics, University of Helsinki, 00014 Helsinki, Finland
| | - Mark J Daly
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland.
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Wen L, Chen J, Duan L, Li S. Vitamin K‑dependent proteins involved in bone and cardiovascular health (Review). Mol Med Rep 2018; 18:3-15. [PMID: 29749440 PMCID: PMC6059683 DOI: 10.3892/mmr.2018.8940] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Accepted: 02/13/2018] [Indexed: 12/19/2022] Open
Abstract
In postmenopausal women and elderly men, bone density decreases with age and vascular calcification is aggravated. This condition is closely associated with vitamin K2 deficiency. A total of 17 different vitamin K-dependent proteins have been identified to date. Vitamin K-dependent proteins are located within the bone, heart and blood vessels. For instance, carboxylated osteocalcin is beneficial for bone and aids the deposition of calcium into the bone matrix. Carboxylated matrix Gla protein effectively protects blood vessels and may prevent calcification within the vascular wall. Furthermore, carboxylated Gla-rich protein has been reported to act as an inhibitor in the calcification of the cardiovascular system, while growth arrest-specific protein-6 protects endothelial cells and vascular smooth muscle cells, resists apoptosis and inhibits the calcification of blood vessels by inhibiting the apoptosis of vascular smooth muscle cells. In addition, periostin may promote the differentiation, aggregation, adhesion and proliferation of osteoblasts. Periostin also occurs in the heart and may be associated with the reconstruction of heart function. These vitamin K-dependent proteins may exert their functions following γ-carboxylation with vitamin K, and different vitamin K-dependent proteins may exhibit synergistic effects or antagonistic effects on each other. In the cardiovascular system with vitamin K antagonist supplement or vitamin K deficiency, calcification occurs in the endothelium of blood vessels and vascular smooth muscle cells are transformed into osteoblast-like cells, a phenomenon that resembles bone growth. Both the bone and cardiovascular system are closely associated during embryonic development. Thus, the present study hypothesized that embryonic developmental position and tissue calcification may have a certain association for the bone and the cardiovascular system. This review describes and briefly discusses several important vitamin K-dependent proteins that serve an important role in bone and the cardiovascular system. The results of the review suggest that the vascular calcification and osteogenic differentiation of vascular smooth muscle cells may be associated with the location of the bone and cardiovascular system during embryonic development.
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Affiliation(s)
- Lianpu Wen
- Department of Physiology, Dalian Medical University, Dalian, Liaoning 116044, P.R. China
| | - Jiepeng Chen
- Sungen Bioscience Co., Ltd., Shantou, Guangdong 515000, P.R. China
| | - Lili Duan
- Sungen Bioscience Co., Ltd., Shantou, Guangdong 515000, P.R. China
| | - Shuzhuang Li
- Department of Physiology, Dalian Medical University, Dalian, Liaoning 116044, P.R. China
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Avela K, Sankila EM, Seitsonen S, Kuuluvainen L, Barton S, Gillies S, Aittomäki K. A founder mutation in CERKL is a major cause of retinal dystrophy in Finland. Acta Ophthalmol 2018; 96:183-191. [PMID: 29068140 DOI: 10.1111/aos.13551] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 06/28/2017] [Indexed: 11/30/2022]
Abstract
PURPOSE To study the genetic aetiology of retinal dystrophies (RD) in Finnish patients. METHODS A targeted next-generation sequencing (NGS) panel of 105 retinal dystrophy genes was used in a cohort of 55 RD patients. RESULTS The overall diagnostic yield was 60% demonstrating the power of this approach. Interestingly, a missense mutation c.375C>G p.(Cys125Trp) in the CERKL gene was found in 18% of the patients in either a homozygous or compound heterozygous state. Data from Exome Aggregation Consortium (ExAC) Browser show that the CERKL c.375C>G p.(Cys125Trp) allele is enriched in the Finnish population and thus is a founder mutation. Furthermore, we report the clinical picture of 18 patients with mutations in the CERKL gene. CERKL mutations cause a macular-onset disease, in which symptoms first become apparent at the second decade. We also detected other novel founder mutations in the CERKL, EYS, RP1, ABCA4 and GUCY2D genes. CONCLUSION Our report indicates that the first diagnostic test for Finnish patients with sporadic or autosomal recessive RD should be a targeted test for founder mutations in the CERKL, EYS, RP1, ABCA4 and GUCY2D genes. These results confirm the utility of NGS-based gene panels as a powerful method for mutation identification in RD, thus enabling improved genetic counselling for these families.
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Affiliation(s)
- Kristiina Avela
- Department of Clinical Genetics; Helsinki University Hospital; Helsinki Finland
| | - Eeva-Marja Sankila
- Department of Ophthalmology; Helsinki University Hospital; Helsinki Finland
| | - Sanna Seitsonen
- Department of Ophthalmology; Helsinki University Hospital; Helsinki Finland
| | - Liina Kuuluvainen
- Department of Clinical Genetics; Helsinki University Hospital; Helsinki Finland
| | - Stephanie Barton
- St Mary's Hospital; Central Manchester University Hospitals and Manchester Centre for Genomic Medicine; Manchester UK
| | - Stuart Gillies
- St Mary's Hospital; Central Manchester University Hospitals and Manchester Centre for Genomic Medicine; Manchester UK
| | - Kristiina Aittomäki
- Department of Clinical Genetics; Helsinki University Hospital; Helsinki Finland
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"I would like to discuss it further with an expert": a focus group study of Finnish adults' perspectives on genetic secondary findings. J Community Genet 2018; 9:305-314. [PMID: 29340884 DOI: 10.1007/s12687-018-0356-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 12/20/2017] [Accepted: 01/02/2018] [Indexed: 10/18/2022] Open
Abstract
Lowered costs of genomic sequencing facilitate analyzing large segments of genetic data. Ethical debate has focused on whether and what kind of incidental or secondary findings (SFs) to report, and how to obtain valid informed consent. However, people's support needs after receiving SFs have received less attention. We explored Finnish adults' perspectives on reporting genetic SFs. In this qualitative study which included four focus group discussions (N = 23) we used four vignette letters, each reporting a genetic SF predisposing to a different disease: familial hypercholesterolemia, long QT syndrome, Lynch syndrome, and Li-Fraumeni syndrome. Transcribed focus group discussions were analyzed using inductive thematic analysis. Major themes were immediate shock, dealing with worry and heightened risk, fear of being left alone to deal with SFs, disclosing to family, and identified support needs. Despite their willingness to receive SFs, participants were concerned about being left alone to deal with them. Empathetic expert support and timely access to preventive care were seen as essential to coping with shock and worry, and disclosing SFs to family. Discussion around SFs needs to concern not only which findings to report, but also how healthcare systems need to prepare for providing timely access to preventive care and support for individuals and families.
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Akioyamen LE, Genest J, Shan SD, Reel RL, Albaum JM, Chu A, Tu JV. Estimating the prevalence of heterozygous familial hypercholesterolaemia: a systematic review and meta-analysis. BMJ Open 2017; 7:e016461. [PMID: 28864697 PMCID: PMC5588988 DOI: 10.1136/bmjopen-2017-016461] [Citation(s) in RCA: 233] [Impact Index Per Article: 29.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVES Heterozygous familial hypercholesterolaemia (FH) confers a significant risk for premature cardiovascular disease (CVD). However, the estimated prevalence of FH varies substantially among studies. We aimed to provide a summary estimate of FH prevalence in the general population and assess variations in frequency across different sociodemographic characteristics. SETTING, PARTICIPANTS AND OUTCOME MEASURES We searched MEDLINE, EMBASE, Global Health, the Cochrane Library, PsycINFO and PubMed for peer-reviewed literature using validated strategies. Results were limited to studies published in English between January 1990 and January 2017. Studies were eligible if they determined FH prevalence using clinical criteria or DNA-based analyses. We determined a pooled point prevalence of FH in adults and children and assessed the variation of the pooled frequency by age, sex, geographical location, diagnostic method, study quality and year of publication. Estimates were pooled using random-effects meta-analysis. Differences by study-level characteristics were investigated through subgroups, meta-regression and sensitivity analyses. RESULTS The pooled prevalence of FH from 19 studies including 2 458 456 unique individuals was 0.40% (95% CI 0.29% to 0.52%) which corresponds to a frequency of 1 in 250 individuals. FH prevalence was found to vary by age and geographical location but not by any other covariates. Results were consistent in sensitivity analyses. CONCLUSIONS Our systematic review suggests that FH is a common disorder, affecting 1 in 250 individuals. These findings underscore the need for early detection and management to decrease CVD risk.
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Affiliation(s)
- Leo E Akioyamen
- Faculty of Medicine, University of Toronto, Toronto, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Canada
| | - Jacques Genest
- Faculty of Medicine, McGill University, Montreal, Canada
- MGill University Health Centre, Royal Victoria Hospital, Montreal, Canada
| | - Shubham D Shan
- Faculty of Medicine, University of Toronto, Toronto, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Canada
| | - Rachel L Reel
- Faculty of Medicine, University of Toronto, Toronto, Canada
| | | | - Anna Chu
- Faculty of Medicine, University of Toronto, Toronto, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Canada
| | - Jack V Tu
- Faculty of Medicine, University of Toronto, Toronto, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Canada
- Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
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Toro JM, Román-González A, Builes-Barrera CA. Identifying familial hypercholesterolemia in Colombia. J Clin Lipidol 2017; 11:1106-1107. [DOI: 10.1016/j.jacl.2017.05.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Revised: 05/23/2017] [Accepted: 05/23/2017] [Indexed: 11/16/2022]
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Cholesterol Levels in Genetically Determined Familial Hypercholesterolaemia in Russian Karelia. CHOLESTEROL 2017; 2017:9375818. [PMID: 28458923 PMCID: PMC5387824 DOI: 10.1155/2017/9375818] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 01/31/2017] [Accepted: 02/12/2017] [Indexed: 12/01/2022]
Abstract
Familial hypercholesterolaemia (FH) is a rare disease that tends to be diagnosed lately. In Russia, the genetic and phenotypic characteristics of the disease are not well defined. We investigated 102 patients with definite FH. In 52 of these patients (50.9%) genetic analysis was performed, revealing pathogenic mutations of the low density lipoprotein (LDL) receptor gene in 22 patients. We report here five mutations of the LDL receptor gene found in the Karelian FH sample for the first time. The detection rate of mutations in definite FH patients was 42.3%. Two groups of patients with a definite diagnosis of FH according to the Dutch Lipid Clinic Network criteria were compared: the first group had putatively functionally important LDL receptor gene mutations, while in the second group LDL receptor gene mutations were excluded by single-strand conformation polymorphism analysis. Total and LDL cholesterol levels were higher in the group with LDL receptor mutations compared to the mutation-free population. The frequency of mutations in patients with LDL cholesterol > 6.5 mmol/L was more than 3 times higher than that in patients with LDL < 6.5 mmol/L. Total and LDL cholesterol levels and the frequency of coronary heart disease and myocardial infarction were higher in the group with definite FH compared to groups with probable and possible FH. Cholesterol figures in FH patients of different age and sex from the Karelian population were comparable.
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Du R, Fan LL, Lin MJ, He ZJ, Huang H, Chen YQ, Li JJ, Xia K, Zhao SP, Xiang R. Mutation detection in Chinese patients with familial hypercholesterolemia. SPRINGERPLUS 2016; 5:2095. [PMID: 28028493 PMCID: PMC5153400 DOI: 10.1186/s40064-016-3763-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Accepted: 11/30/2016] [Indexed: 12/24/2022]
Abstract
Background Familial hypercholesterolemia (FH) is the first molecularly and clinically characterized genetic disease of lipid metabolism. It is an autosomal dominant disorder with significantly elevated levels of total cholesterol and low density of lipoprotein cholesterol in serum, which would lead to extensive xanthomas and premature coronary heart disease. Mutations in low density lipoprotein receptor (LDLR), proprotein convertase subtilisin/kexin type 9 and Apo lipoprotein B-100 (APOB) have been identified to be the underlying cause of this disease. Methods Genetic testing and reports of the mutations in the Chinese population are still limited. In this study, 11 unrelated Chinese FH families were enrolled to detect the candidate gene variants by DNA direct sequencing. Results and conclusion We identified 12 mutations (11 in LDLR and one in APOB) in ten FH families. Three novel LDLR mutations (c.516C>A/p.D172E, c.1720C>A/p.R574S and c.760C>T/p.Q254X) were identified and co-segregated with the affected individuals in the families. Our discoveries not only further supports the significant role of LDLR in FH, but also expands the spectrum of LDLR mutations. These new insights will contribute to the genetic diagnosis and counseling of FH patients.
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Affiliation(s)
- Ran Du
- The State Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, 410013 China
| | - Liang-Liang Fan
- The State Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, 410013 China
| | - Min-Jie Lin
- Department of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, 410011 China
| | - Zhi-Jian He
- The State Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, 410013 China
| | - Hao Huang
- The State Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, 410013 China
| | - Ya-Qin Chen
- Department of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, 410011 China
| | - Jing-Jing Li
- The State Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, 410013 China
| | - Kun Xia
- The State Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, 410013 China
| | - Shui-Ping Zhao
- Department of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, 410011 China
| | - Rong Xiang
- The State Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, 410013 China ; Department of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, 410011 China
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Leigh S, Futema M, Whittall R, Taylor-Beadling A, Williams M, den Dunnen JT, Humphries SE. The UCL low-density lipoprotein receptor gene variant database: pathogenicity update. J Med Genet 2016; 54:217-223. [PMID: 27821657 PMCID: PMC5502305 DOI: 10.1136/jmedgenet-2016-104054] [Citation(s) in RCA: 65] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Accepted: 10/06/2016] [Indexed: 12/04/2022]
Abstract
Background Familial hypercholesterolaemia (OMIM 143890) is most frequently caused by variations in the low-density lipoprotein receptor (LDLR) gene. Predicting whether novel variants are pathogenic may not be straightforward, especially for missense and synonymous variants. In 2013, the Association of Clinical Genetic Scientists published guidelines for the classification of variants, with categories 1 and 2 representing clearly not or unlikely pathogenic, respectively, 3 representing variants of unknown significance (VUS), and 4 and 5 representing likely to be or clearly pathogenic, respectively. Here, we update the University College London (UCL) LDLR variant database according to these guidelines. Methods PubMed searches and alerts were used to identify novel LDLR variants for inclusion in the database. Standard in silico tools were used to predict potential pathogenicity. Variants were designated as class 4/5 only when the predictions from the different programs were concordant and as class 3 when predictions were discordant. Results The updated database (http://www.lovd.nl/LDLR) now includes 2925 curated variants, representing 1707 independent events. All 129 nonsense variants, 337 small frame-shifting and 117/118 large rearrangements were classified as 4 or 5. Of the 795 missense variants, 115 were in classes 1 and 2, 605 in class 4 and 75 in class 3. 111/181 intronic variants, 4/34 synonymous variants and 14/37 promoter variants were assigned to classes 4 or 5. Overall, 112 (7%) of reported variants were class 3. Conclusions This study updates the LDLR variant database and identifies a number of reported VUS where additional family and in vitro studies will be required to confirm or refute their pathogenicity.
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Affiliation(s)
- Sarah Leigh
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Sciences, University College London, London, UK
| | - Marta Futema
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Sciences, University College London, London, UK
| | - Ros Whittall
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Sciences, University College London, London, UK
| | | | - Maggie Williams
- Bristol Genetics Laboratory, Pathology Sciences, Blood Sciences and Bristol Genetics, Southmead Hospital, Bristol, UK
| | - Johan T den Dunnen
- Clinical Genetics and Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Steve E Humphries
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Sciences, University College London, London, UK
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Santos RD, Gidding SS, Hegele RA, Cuchel MA, Barter PJ, Watts GF, Baum SJ, Catapano AL, Chapman MJ, Defesche JC, Folco E, Freiberger T, Genest J, Hovingh GK, Harada-Shiba M, Humphries SE, Jackson AS, Mata P, Moriarty PM, Raal FJ, Al-Rasadi K, Ray KK, Reiner Z, Sijbrands EJG, Yamashita S. Defining severe familial hypercholesterolaemia and the implications for clinical management: a consensus statement from the International Atherosclerosis Society Severe Familial Hypercholesterolemia Panel. Lancet Diabetes Endocrinol 2016; 4:850-61. [PMID: 27246162 DOI: 10.1016/s2213-8587(16)30041-9] [Citation(s) in RCA: 305] [Impact Index Per Article: 33.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 03/24/2016] [Accepted: 04/06/2016] [Indexed: 12/26/2022]
Abstract
Familial hypercholesterolaemia is common in individuals who had a myocardial infarction at a young age. As many as one in 200 people could have heterozygous familial hypercholesterolaemia, and up to one in 300 000 individuals could be homozygous. The phenotypes of heterozygous and homozygous familial hypercholesterolaemia overlap considerably; the response to treatment is also heterogeneous. In this Review, we aim to define a phenotype for severe familial hypercholesterolaemia and identify people at highest risk for cardiovascular disease, based on the concentration of LDL cholesterol in blood and individuals' responsiveness to conventional lipid-lowering treatment. We assess the importance of molecular characterisation and define the role of other cardiovascular risk factors and advanced subclinical coronary atherosclerosis in risk stratification. Individuals with severe familial hypercholesterolaemia might benefit in particular from early and more aggressive cholesterol-lowering treatment (eg, with PCSK9 inhibitors). In addition to better tailored therapy, more precise characterisation of individuals with severe familial hypercholesterolaemia could improve resource use.
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Affiliation(s)
- Raul D Santos
- Lipid Clinic Heart Institute (InCor), University of São Paulo Medical School Hospital, and Preventive Medicine Centre and Cardiology Program, Hospital Israelita Albert Einstein, São Paulo, Brazil.
| | - Samuel S Gidding
- Nemours Cardiac Center, A I DuPont Hospital for Children, Wilmington, DE, USA
| | - Robert A Hegele
- Department of Medicine and Robarts Research Institute, Schulich School of Medicine, Western University, London, ON, Canada
| | - Marina A Cuchel
- Division of Translational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Philip J Barter
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Gerald F Watts
- Lipid Disorders Clinic, Royal Perth Hospital, The University of Western Australia, Perth, WA, Australia
| | - Seth J Baum
- Preventive Cardiology, Christine E Lynn Women's Health & Wellness Institute, Boca Raton Regional Hospital, Boca Raton, FL, USA
| | - Alberico L Catapano
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy; IRCCS Multimedica, Milan, Italy
| | | | - Joep C Defesche
- University of Amsterdam, Academic Medical Center (AMC), Amsterdam, Netherlands
| | | | - Tomas Freiberger
- Molecular Genetics Lab, Centre for Cardiovascular Surgery and Transplantation, and Ceitec, Masaryk University, Brno, Czech Republic
| | - Jacques Genest
- McGill University Health Center, Royal Victoria Hospital, Montreal, QC, Canada
| | - G Kees Hovingh
- University of Amsterdam, Academic Medical Center (AMC), Amsterdam, Netherlands
| | - Mariko Harada-Shiba
- National Cerebral and Cardiovascular Center Research Institute, Suita, Osaka, Japan
| | - Steve E Humphries
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College of London, London, UK
| | - Ann S Jackson
- International Atherosclerosis Society, Houston, TX, USA
| | - Pedro Mata
- Fundación Hipercolesterolemia Familiar, Madrid, Spain
| | - Patrick M Moriarty
- Atherosclerosis and Lipoprotein-Apheresis Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Frederick J Raal
- Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Kausik K Ray
- School of Public Health, Imperial College London, London, UK
| | - Zelijko Reiner
- European Association for Cardiovascular Prevention and Rehabilitations, Zagreb, Croatia
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Safarova MS, Liu H, Kullo IJ. Rapid identification of familial hypercholesterolemia from electronic health records: The SEARCH study. J Clin Lipidol 2016; 10:1230-9. [PMID: 27678441 DOI: 10.1016/j.jacl.2016.08.001] [Citation(s) in RCA: 77] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Revised: 07/28/2016] [Accepted: 08/01/2016] [Indexed: 12/16/2022]
Abstract
BACKGROUND Little is known about prevalence, awareness, and control of familial hypercholesterolemia (FH) in the United States. OBJECTIVE To address these knowledge gaps, we developed an ePhenotyping algorithm for rapid identification of FH in electronic health records (EHRs) and deployed it in the Screening Employees And Residents in the Community for Hypercholesterolemia (SEARCH) study. METHODS We queried a database of 131,000 individuals seen between 1993 and 2014 in primary care practice to identify 5992 (mean age 52 ± 13 years, 42% men) patients with low-density lipoprotein cholesterol (LDL-C) ≥190 mg/dL, triglycerides <400 mg/dL and without secondary causes of hyperlipidemia. RESULTS Our EHR-based algorithm ascertained the Dutch Lipid Clinic Network criteria for FH using structured data sets and natural language processing for family history and presence of FH stigmata on physical examination. Blinded expert review revealed positive and negative predictive values for the SEARCH algorithm at 94% and 97%, respectively. The algorithm identified 32 definite and 391 probable cases with an overall FH prevalence of 0.32% (1:310). Only 55% of the FH cases had a diagnosis code relevant to FH. Mean LDL-C at the time of FH ascertainment was 237 mg/dL; at follow-up, 70% (298 of 423) of patients were on lipid-lowering treatment with 80% achieving an LDL-C ≤100 mg/dL. Of treated FH patients with premature CHD, only 22% (48 of 221) achieved an LDL-C ≤70 mg/dL. CONCLUSIONS In a primary care setting, we found the prevalence of FH to be 1:310 with low awareness and control. Further studies are needed to assess whether automated detection of FH in EHR improves patient outcomes.
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Affiliation(s)
- Maya S Safarova
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Hongfang Liu
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA.
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Pajak A, Szafraniec K, Polak M, Drygas W, Piotrowski W, Zdrojewski T, Jankowski P. Prevalence of familial hypercholesterolemia: a meta-analysis of six large, observational, population-based studies in Poland. Arch Med Sci 2016; 12:687-96. [PMID: 27478447 PMCID: PMC4947614 DOI: 10.5114/aoms.2016.59700] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Accepted: 02/27/2016] [Indexed: 12/18/2022] Open
Abstract
INTRODUCTION Familial hypercholesterolemia (FH) is a severely underdiagnosed and undertreated genetic disorder. Little is known about regional variation in the prevalence of FH, and information for Central and Eastern Europe (CEE) is scarce. This paper assesses the prevalence of FH and related cardiovascular disease (CVD) risk factors in Poland. MATERIAL AND METHODS We performed a meta-analysis of six population-based studies in Poland. The FH was assessed using the Dutch Lipids Clinics Network (DLCN) criteria. The categories "definite" (> 8 points) and "probable" (6-8 points) were combined into "potential FH". Combined estimates of proportions across studies were pooled by meta-analysis with a random effects model. RESULTS A total of 37,889 persons aged 20-79 years were included in the analysis. The distribution of DLCN scores was skewed, and there were only 7 cases of definite FH. Prevalence of potential FH was 404/100,000 people (95% CI = 277-531/100,000). Familial hypercholesterolemia was more prevalent in women than in men, and the prevalence was the highest in the age group 45-54 years in men and 55-64 years in women. After adjustment for age and sex, compared to participants with normal cholesterol, persons with potential FH had twice the prevalence of hypertension (p < 0.01); smoking was more prevalent by about 80% (p < 0.01) and hypertriglyceridemia was nine times more frequent (p < 0.001). There was no difference in the prevalence of low high-density lipoprotein (HDL)-cholesterol or diabetes. CONCLUSIONS We believe that our study might facilitate the planning of a strategy to manage the disease at a population level, i.e. to develop a national strategy for the detection, diagnosis, and treatment of FH.
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Affiliation(s)
- Andrzej Pajak
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Krystyna Szafraniec
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Maciej Polak
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Wojciech Drygas
- Department of Epidemiology, Cardiovascular Disease Prevention and Health Promotion, Institute of Cardiology, Warsaw, Poland
- Department of Preventive Medicine, Medical University of Lodz, Lodz, Poland
| | - Walerian Piotrowski
- Department of Epidemiology, Cardiovascular Disease Prevention and Health Promotion, Institute of Cardiology, Warsaw, Poland
| | - Tomasz Zdrojewski
- Department of Prevention and Medical Education, Medical University of Gdansk, Gdansk, Poland
| | - Piotr Jankowski
- Department of Intensive Electrotherapy and Hypertension, Jagiellonian University Medical College, Krakow, Poland
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Merchán A, Ruiz ÁJ, Campo R, Prada CE, Toro JM, Sánchez R, Gómez JE, Jaramillo NI, Molina DI, Vargas-Uricoechea H, Sixto S, Castro JM, Quintero AE, Coll M, Slotkus S, Ramírez A, Pachajoa H, Ávila FA, Alonso K R. Hipercolesterolemia familiar: artículo de revisión. REVISTA COLOMBIANA DE CARDIOLOGÍA 2016. [DOI: 10.1016/j.rccar.2016.05.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Safarova MS, Kullo IJ. My Approach to the Patient With Familial Hypercholesterolemia. Mayo Clin Proc 2016; 91:770-86. [PMID: 27261867 PMCID: PMC5374743 DOI: 10.1016/j.mayocp.2016.04.013] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Revised: 03/18/2016] [Accepted: 04/12/2016] [Indexed: 02/07/2023]
Abstract
Familial hypercholesterolemia (FH), a relatively common Mendelian genetic disorder, is associated with a dramatically increased lifetime risk of premature atherosclerotic cardiovascular disease due to elevated plasma low-density lipoprotein cholesterol (LDL-C) levels. The diagnosis of FH is based on clinical presentation or genetic testing. Early identification of patients with FH is of great public health importance because preventive strategies can lower the absolute lifetime cardiovascular risk and screening can detect affected relatives. However, low awareness, detection, and control of FH pose hurdles in the prevention of FH-related cardiovascular events. Of the estimated 0.65 million to 1 million patients with FH in the United States, less than 10% carry a diagnosis of FH. Based on registry data, a substantial proportion of patients with FH are receiving no or inadequate lipid-lowering therapy. Statins remain the mainstay of treatment for patients with FH. Lipoprotein apheresis and newly approved lipid-lowering drugs are valuable adjuncts to statin therapy, particularly when the LDL-C-lowering response is suboptimal. Monoclonal antibodies targeting proprotein convertase subtilisin/kexin type 9 provide an additional approximately 60% lowering of LDL-C levels and are approved for use in patients with FH. For homozygous FH, 2 new drugs that work independent of the LDL receptor pathway are available: an apolipoprotein B antisense oligonucleotide (mipomersen) and a microsomal triglyceride transfer protein inhibitor (lomitapide). This review attempts to critically examine the available data to provide a summary of the current evidence for managing patients with FH, including screening, diagnosis, treatment, and surveillance.
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Affiliation(s)
- Maya S Safarova
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester MN
| | - Iftikhar J Kullo
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester MN.
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Jiang X, Tao H, Qiu C, Ma X, Li S, Guo X, Lv A, Li H. Vitamin K2 regression aortic calcification induced by warfarin via Gas6/Axl survival pathway in rats. Eur J Pharmacol 2016; 786:10-18. [PMID: 27212383 DOI: 10.1016/j.ejphar.2016.05.022] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Revised: 05/17/2016] [Accepted: 05/18/2016] [Indexed: 01/07/2023]
Abstract
The aim of this study was to investigate the effect of vitamin K2 on aortic calcification induced by warfarin via Gas6/Axl survival pathway in rats. A calcification model was established by administering 3mg/g warfarin to rats. Rats were divided into 9 groups: control group (0W, 4W, 6W and 12W groups), 4W calcification group, 6W calcification group, 12W calcification group, 6W calcification+6W normal group and 6W calcification+6W vitamin K2 group. Alizarin red S staining measured aortic calcium depositions; alkaline phosphatase activity in serum was measured by a kit; apoptosis was evaluated by TUNEL assay; protein expression levels of Gas6, Axl, phosphorylated Akt (p-Akt), and Bcl-2 were determined by western blotting. The calcium content, calcium depositions, ALP activity and apoptosis were significantly higher in the calcification groups than control group. Gas6, Axl, p-Akt and Bcl-2 expression was lower in the calcification group than control group. 100μg/g vitamin K2 treatment decreased calcium depositions, ALP activity and apoptosis significantly, but increased Gas6, Axl, p-Akt and Bcl-2 expression. 100μg/g vitamin K2 reversed 44% calcification. Pearson correlation analysis showed a positive correlation between formation calcification and apoptosis (R(2)=0.8853, P<0.0001). In conclusion, we established a warfarin-induced calcification model and showed vitamin K2 can inhibit warfarin-induced aortic calcification and apoptosis. The regression of aortic calcification by vitamin K2 involved the Gas6/Axl axis. This data may provide a theoretical basis for future clinical treatments for aortic calcification.
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Affiliation(s)
- Xiaoyu Jiang
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, Shaanxi, China
| | - Huiren Tao
- Department of Orthopedics, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, Shaanxi, China
| | - Cuiting Qiu
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, Shaanxi, China
| | - Xiaolei Ma
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, Shaanxi, China
| | - Shan Li
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, Shaanxi, China
| | - Xian Guo
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, Shaanxi, China
| | - Anlin Lv
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, Shaanxi, China.
| | - Huan Li
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, Shaanxi, China.
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Fahed AC, Khalaf R, Salloum R, Andary RR, Safa R, El-Rassy I, Moubarak E, Azar ST, Bitar FF, Nemer G. Variable expressivity and co-occurrence of LDLR and LDLRAP1 mutations in familial hypercholesterolemia: failure of the dominant and recessive dichotomy. Mol Genet Genomic Med 2016; 4:283-91. [PMID: 27247956 PMCID: PMC4867562 DOI: 10.1002/mgg3.203] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Revised: 12/14/2015] [Accepted: 12/17/2015] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND The familial inherited genetic disorder of lipoprotein metabolism affects more than 10 million individuals around the world. Lebanon is one of the several endemic areas for familial hypercholesterolemia (FH) with a founder mutation in the low-density lipoprotein cholesterol receptor (LDLR) gene, responsible for most of the cases. We have previously shown that 16% of all familial cases with hypercholesterolemia do not show genotype segregation of LDLR with the underlying phenotype. METHODS We used Sanger sequencing to genotype 25 Lebanese families with severe FH for the gene encoding the LDLR-associated protein (LDLRAP1), responsible for the recessive form of the disease starting with the four families that did not show any genotype-phenotype correlation in our previous screening. RESULTS We showed that the previously reported p.Q136* variant is linked to the hypercholesterolemia phenotype in the four families. In addition, we showed a variable phenotype between families and between members of the same family. One family exhibits mutations in both LDLR and LDLRAP1 with family members showing differential phenotypes unexplained by the underlying genotypes of the two genes. CONCLUSION The p.Q136* variant in LDLRAP1 is yet another founder mutation in Lebanon and coupled with the LDLR p.C681* variant explains all the genetic causes of FH in Lebanon.
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Affiliation(s)
- Akl C Fahed
- Department of Biochemistry and Molecular GeneticsAmerican University of BeirutBeirutLebanon; Department of GeneticsHarvard Medical School and Department of Internal MedicineMassachusetts General HospitalBostonMassachusetts
| | - Ruby Khalaf
- Department of Biochemistry and Molecular Genetics American University of Beirut Beirut Lebanon
| | - Rony Salloum
- Department of Biochemistry and Molecular Genetics American University of Beirut Beirut Lebanon
| | - Rabih R Andary
- Department of Biochemistry and Molecular Genetics American University of Beirut Beirut Lebanon
| | - Raya Safa
- Department of Biochemistry and Molecular Genetics American University of Beirut Beirut Lebanon
| | - Inaam El-Rassy
- Department of Biochemistry and Molecular Genetics American University of Beirut Beirut Lebanon
| | - Elie Moubarak
- National LDL Apheresis Center Dahr El-Bashek Governmental University Hospital Roumieh Lebanon
| | - Sami T Azar
- Department of Internal Medicine American University of Beirut Beirut Lebanon
| | - Fadi F Bitar
- Department of Pediatrics and Adolescent Medicine American University of Beirut Beirut Lebanon
| | - Georges Nemer
- Department of Biochemistry and Molecular Genetics American University of Beirut Beirut Lebanon
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Klančar G, Grošelj U, Kovač J, Bratanič N, Bratina N, Trebušak Podkrajšek K, Battelino T. Universal Screening for Familial Hypercholesterolemia in Children. J Am Coll Cardiol 2015; 66:1250-1257. [PMID: 26361156 DOI: 10.1016/j.jacc.2015.07.017] [Citation(s) in RCA: 113] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Revised: 06/08/2015] [Accepted: 07/02/2015] [Indexed: 01/06/2023]
Abstract
BACKGROUND Individuals with familial hypercholesterolemia (FH) who are untreated have up to 100-fold elevated risk for cardiovascular complications compared with those who are unaffected. Data for identification of FH with a universal screening for hypercholesterolemia in children are lacking. OBJECTIVES This study sought genetic identification of FH from a cohort of children with elevated serum total cholesterol (TC) concentration, detected in a national universal screening for hypercholesterolemia. METHODS Slovenian children born between 1989 and 2009 (n = 272) with TC >6 mmol/l (231.7 mg/dl) or >5 mmol/l (193.1 mg/dl) plus a family history positive for premature cardiovascular complications, identified in a national universal screening for hypercholesterolemia at 5 years of age were genotyped for variants in LDLR, PCSK9, APOB, and APOE. RESULTS Of the referred children, 57.0% carried disease-causing variants for FH: 38.6% in LDLR, 18.4% in APOB, and none in PCSK9. Nine novel disease-causing variants were identified, 8 in LDLR, and 1 in APOB. Of the remaining participants, 43.6% carried the APOE E4 isoform. Estimated detection rate of FH in the universal screening program from 2009 to 2013 was 53.6% (95% confidence interval [CI]: 34.5% to 72.8%), peaking in 2013 with an upper estimated detection rate of 96.3%. Variants in LDLR, APOB, or the APOE E4 isoform occurred in 48.6%, 60.0%, and 76.5%, respectively, of patients with a family history negative for cardiovascular complications. CONCLUSIONS Most participants who were referred from a national database of universal screening results for hypercholesterolemia had genetically confirmed FH. Data for family history may not suffice for reliable identification of patients through selective and cascade screening.
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Affiliation(s)
- Gašper Klančar
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, UMC Ljubljana, Ljubljana, Slovenia; Unit of Special Laboratory Diagnostics, University Children's Hospital, UMC Ljubljana, Ljubljana, Slovenia
| | - Urh Grošelj
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, UMC Ljubljana, Ljubljana, Slovenia
| | - Jernej Kovač
- Unit of Special Laboratory Diagnostics, University Children's Hospital, UMC Ljubljana, Ljubljana, Slovenia
| | - Nevenka Bratanič
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, UMC Ljubljana, Ljubljana, Slovenia
| | - Nataša Bratina
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, UMC Ljubljana, Ljubljana, Slovenia
| | - Katarina Trebušak Podkrajšek
- Unit of Special Laboratory Diagnostics, University Children's Hospital, UMC Ljubljana, Ljubljana, Slovenia; Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Tadej Battelino
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, UMC Ljubljana, Ljubljana, Slovenia; Department of Pediatrics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
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