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Yang TY, Small AM, Dufresne L, Peloso GM, Natarajan P, Engert JC, Thanassoulis G. Plasma Proteomic Biomarkers of Aortic Stenosis: A Mendelian Randomization Study. J Am Coll Cardiol 2024; 84:592-594. [PMID: 39084832 DOI: 10.1016/j.jacc.2024.05.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 04/03/2024] [Accepted: 05/10/2024] [Indexed: 08/02/2024]
Affiliation(s)
- Ta-Yu Yang
- McGill University Health Centre and Research Institute, Montréal, Québec, Canada; McGill University, Montréal, Québec, Canada; Kyoto-McGill International Collaborative School in Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Aeron M Small
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Line Dufresne
- McGill University Health Centre and Research Institute, Montréal, Québec, Canada
| | - Gina M Peloso
- Boston University School of Public Health, Boston, Massachusetts, USA
| | - Pradeep Natarajan
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - James C Engert
- McGill University Health Centre and Research Institute, Montréal, Québec, Canada; McGill University, Montréal, Québec, Canada
| | - George Thanassoulis
- McGill University Health Centre and Research Institute, Montréal, Québec, Canada; McGill University, Montréal, Québec, Canada.
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Irtyuga O, Skitchenko R, Babakekhyan M, Usoltsev D, Tarnovskaya S, Malashicheva A, Fomicheva Y, Rotar O, Moiseeva O, Shadrina U, Artomov M, Kostareva A, Shlyakhto E. The Role of NOTCH Pathway Genes in the Inherited Susceptibility to Aortic Stenosis. J Cardiovasc Dev Dis 2024; 11:226. [PMID: 39057646 PMCID: PMC11277067 DOI: 10.3390/jcdd11070226] [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: 05/15/2024] [Revised: 06/26/2024] [Accepted: 07/11/2024] [Indexed: 07/28/2024] Open
Abstract
The NOTCH-signaling pathway is responsible for intercellular interactions and cell fate commitment. Recently, NOTCH pathway genes were demonstrated to play an important role in aortic valve development, leading to an increased calcified aortic valve disease (CAVD) later in life. Here, we further investigate the association between genetic variants in the NOTCH pathway genes and aortic stenosis in a case-control study of 90 CAVD cases and 4723 controls using target panel sequencing of full-length 20 genes from a NOTCH-related pathway (DVL2, DTX2, MFNG, NUMBL, LFNG, DVL1, DTX4, APH1A, DTX1, APH1B, NOTCH1, ADAM17, DVL3, NCSTN, DTX3L, ILK, RFNG, DTX3, NOTCH4, PSENEN). We identified a common intronic variant in NOTCH1, protecting against CAVD development (rs3812603), as well as several rare and unique new variants in NOTCH-pathway genes (DTX4, NOTCH1, DTX1, DVL2, NOTCH1, DTX3L, DVL3), with a prominent effect of the protein structure and function.
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Affiliation(s)
- Olga Irtyuga
- Almazov National Medical Research Centre, 197341 Saint-Petersburg, Russia; (R.S.); (M.B.); (D.U.); (S.T.); (A.M.); (Y.F.); (O.R.); (O.M.); (U.S.); (M.A.); (A.K.); (E.S.)
| | - Rostislav Skitchenko
- Almazov National Medical Research Centre, 197341 Saint-Petersburg, Russia; (R.S.); (M.B.); (D.U.); (S.T.); (A.M.); (Y.F.); (O.R.); (O.M.); (U.S.); (M.A.); (A.K.); (E.S.)
| | - Mary Babakekhyan
- Almazov National Medical Research Centre, 197341 Saint-Petersburg, Russia; (R.S.); (M.B.); (D.U.); (S.T.); (A.M.); (Y.F.); (O.R.); (O.M.); (U.S.); (M.A.); (A.K.); (E.S.)
| | - Dmitrii Usoltsev
- Almazov National Medical Research Centre, 197341 Saint-Petersburg, Russia; (R.S.); (M.B.); (D.U.); (S.T.); (A.M.); (Y.F.); (O.R.); (O.M.); (U.S.); (M.A.); (A.K.); (E.S.)
- Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43205, USA
| | - Svetlana Tarnovskaya
- Almazov National Medical Research Centre, 197341 Saint-Petersburg, Russia; (R.S.); (M.B.); (D.U.); (S.T.); (A.M.); (Y.F.); (O.R.); (O.M.); (U.S.); (M.A.); (A.K.); (E.S.)
| | - Anna Malashicheva
- Almazov National Medical Research Centre, 197341 Saint-Petersburg, Russia; (R.S.); (M.B.); (D.U.); (S.T.); (A.M.); (Y.F.); (O.R.); (O.M.); (U.S.); (M.A.); (A.K.); (E.S.)
| | - Yulya Fomicheva
- Almazov National Medical Research Centre, 197341 Saint-Petersburg, Russia; (R.S.); (M.B.); (D.U.); (S.T.); (A.M.); (Y.F.); (O.R.); (O.M.); (U.S.); (M.A.); (A.K.); (E.S.)
| | - Oksana Rotar
- Almazov National Medical Research Centre, 197341 Saint-Petersburg, Russia; (R.S.); (M.B.); (D.U.); (S.T.); (A.M.); (Y.F.); (O.R.); (O.M.); (U.S.); (M.A.); (A.K.); (E.S.)
| | - Olga Moiseeva
- Almazov National Medical Research Centre, 197341 Saint-Petersburg, Russia; (R.S.); (M.B.); (D.U.); (S.T.); (A.M.); (Y.F.); (O.R.); (O.M.); (U.S.); (M.A.); (A.K.); (E.S.)
| | - Ulyana Shadrina
- Almazov National Medical Research Centre, 197341 Saint-Petersburg, Russia; (R.S.); (M.B.); (D.U.); (S.T.); (A.M.); (Y.F.); (O.R.); (O.M.); (U.S.); (M.A.); (A.K.); (E.S.)
| | - Mykyta Artomov
- Almazov National Medical Research Centre, 197341 Saint-Petersburg, Russia; (R.S.); (M.B.); (D.U.); (S.T.); (A.M.); (Y.F.); (O.R.); (O.M.); (U.S.); (M.A.); (A.K.); (E.S.)
- Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43205, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH 43205, USA
| | - Anna Kostareva
- Almazov National Medical Research Centre, 197341 Saint-Petersburg, Russia; (R.S.); (M.B.); (D.U.); (S.T.); (A.M.); (Y.F.); (O.R.); (O.M.); (U.S.); (M.A.); (A.K.); (E.S.)
- Department of Women’s and Children’s Health and Centre for Molecular Medicine, Karolinska Institute, 17176 Stockholm, Sweden
| | - Evgeny Shlyakhto
- Almazov National Medical Research Centre, 197341 Saint-Petersburg, Russia; (R.S.); (M.B.); (D.U.); (S.T.); (A.M.); (Y.F.); (O.R.); (O.M.); (U.S.); (M.A.); (A.K.); (E.S.)
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3
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Xie L, Gan W, Cai G. The causal relationship between gut microbiota and diabetic neuropathy: a bi-directional two-sample Mendelian randomization study. Front Endocrinol (Lausanne) 2024; 15:1402014. [PMID: 39050567 PMCID: PMC11266094 DOI: 10.3389/fendo.2024.1402014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 06/26/2024] [Indexed: 07/27/2024] Open
Abstract
Background Many studies suggest a strong correlation between gut microbiota (GM) and diabetic neuropathy (DN). However, the precise causal relationship between GM and DN has yet to be fully elucidated. Hence, a bi-directional Mendelian randomization (MR) analysis was used to examine the association between GM and DN. Methods Widely known genome-wide association study (GWAS) of GM was collected from the MiBio Gen project. Summary-level datasets for DN were taken from the FinnGen project. Inverse variance weighted approach was used for evaluating the causal relationship between GM and DN. Subsequently, pleiotropy and heterogeneity tests were performed to verify the reliability of the data. Furthermore, a bidirectional two-sample MR analysis was done to investigate the directionality of the causal relationships. Gene Ontology analysis was conducted to identify the associations that could indicate biological functions. Results We identified potential causal associations between GM and DN (p< 0.05 in all three MR methods). Among them, we found increased levels of Christensenellaceae R-7 (Odds ratio, OR= 1.52; 95% confidence interval, CI = 1.03-2.23; p = 0.03), Ruminococcaceae UCG013 (OR =1.35; 95% CI = 1.00-1.85; p = 0.04), and Eggerthella groups (OR = 1.27; 95% CI = 1.05-1.55; p = 0.01), which may be associated with a higher risk of DN, while increased levels of Peptococcaceae (OR = 0.69; 95% CI = 0.54-0.90; p< 0.01) and Eubacterium coprostanoligenes groups (OR = 0.68; 95% CI = 0.49-0.93; p = 0.01) could be associated with a lower risk. Gene Ontology pathway analysis revealed enrichment of genes regulated by the associated single-nucleotide polymorphisms (SNPs) in the apical plasma membrane, glycosyltransferase activity, hexosyltransferase activity and membrane raft. Reverse MR analyses indicated that DN was associated with five microbial taxa in all three MR methods. Conclusion The results of our study validate the possible causative relationship between GM and DN. This discovery gives new perspectives into the mechanism on how GM influences DN, and establishes a theoretical foundation for future investigations into targeted preventive measures.
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Affiliation(s)
- Long Xie
- Department of Orthopedics, The Fourth Hospital of Changsha (The Changsha Affiliated Hospital of Hunan Normal University), Hunan Normal University, Changsha, China
| | - Wen Gan
- Department of Thoracic Surgery, Yuebei People’s Hospital, Shaoguan, Guangdong, China
| | - GuangRong Cai
- Trauma Department of Orthopaedics, Yuebei People’s Hospital, Shaoguan, Guangdong, China
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Zheng S, Tsao PS, Pan C. Abdominal aortic aneurysm and cardiometabolic traits share strong genetic susceptibility to lipid metabolism and inflammation. Nat Commun 2024; 15:5652. [PMID: 38969659 PMCID: PMC11226445 DOI: 10.1038/s41467-024-49921-7] [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: 12/05/2023] [Accepted: 06/25/2024] [Indexed: 07/07/2024] Open
Abstract
Abdominal aortic aneurysm has a high heritability and often co-occurs with other cardiometabolic disorders, suggesting shared genetic susceptibility. We investigate this commonality leveraging recent GWAS studies of abdominal aortic aneurysm and 32 cardiometabolic traits. We find significant genetic correlations between abdominal aortic aneurysm and 21 of the cardiometabolic traits investigated, including causal relationships with coronary artery disease, hypertension, lipid traits, and blood pressure. For each trait pair, we identify shared causal variants, genes, and pathways, revealing that cholesterol metabolism and inflammation are shared most prominently. Additionally, we show the tissue and cell type specificity in the shared signals, with strong enrichment across traits in the liver, arteries, adipose tissues, macrophages, adipocytes, and fibroblasts. Finally, we leverage drug-gene databases to identify several lipid-lowering drugs and antioxidants with high potential to treat abdominal aortic aneurysm with comorbidities. Our study provides insight into the shared genetic mechanism between abdominal aortic aneurysm and cardiometabolic traits, and identifies potential targets for pharmacological intervention.
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Affiliation(s)
- Shufen Zheng
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Guangzhou, China
- Center for Evolutionary Biology, Intelligent Medicine Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Philip S Tsao
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA.
- Stanford Cardiovascular Institute, Stanford University, California, USA.
- VA Palo Alto Health Care System, Palo Alto, California, USA.
| | - Cuiping Pan
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Guangzhou, China.
- Center for Evolutionary Biology, Intelligent Medicine Institute, School of Life Sciences, Fudan University, Shanghai, China.
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Diaz N, Perez C, Escribano AM, Sanz G, Priego J, Lafuente C, Barberis M, Calle L, Espinosa JF, Priest BT, Zhang HY, Nosie AK, Haas JV, Cannady E, Borel A, Schultze AE, Sauder JM, Hendle J, Weichert K, Nicholls SJ, Michael LF. Discovery of potent small-molecule inhibitors of lipoprotein(a) formation. Nature 2024; 629:945-950. [PMID: 38720069 PMCID: PMC11111404 DOI: 10.1038/s41586-024-07387-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 04/04/2024] [Indexed: 05/24/2024]
Abstract
Lipoprotein(a) (Lp(a)), an independent, causal cardiovascular risk factor, is a lipoprotein particle that is formed by the interaction of a low-density lipoprotein (LDL) particle and apolipoprotein(a) (apo(a))1,2. Apo(a) first binds to lysine residues of apolipoprotein B-100 (apoB-100) on LDL through the Kringle IV (KIV) 7 and 8 domains, before a disulfide bond forms between apo(a) and apoB-100 to create Lp(a) (refs. 3-7). Here we show that the first step of Lp(a) formation can be inhibited through small-molecule interactions with apo(a) KIV7-8. We identify compounds that bind to apo(a) KIV7-8, and, through chemical optimization and further application of multivalency, we create compounds with subnanomolar potency that inhibit the formation of Lp(a). Oral doses of prototype compounds and a potent, multivalent disruptor, LY3473329 (muvalaplin), reduced the levels of Lp(a) in transgenic mice and in cynomolgus monkeys. Although multivalent molecules bind to the Kringle domains of rat plasminogen and reduce plasmin activity, species-selective differences in plasminogen sequences suggest that inhibitor molecules will reduce the levels of Lp(a), but not those of plasminogen, in humans. These data support the clinical development of LY3473329-which is already in phase 2 studies-as a potent and specific orally administered agent for reducing the levels of Lp(a).
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Affiliation(s)
- Nuria Diaz
- Lilly Research Laboratories, Alcobendas, Spain
| | | | | | - Gema Sanz
- Lilly Research Laboratories, Alcobendas, Spain
| | | | | | | | - Luis Calle
- Lilly Research Laboratories, Alcobendas, Spain
| | | | | | - Hong Y Zhang
- Lilly Research Laboratories, Indianapolis, IN, USA
| | | | | | | | | | | | | | - Jörg Hendle
- Lilly Research Laboratories, San Diego, CA, USA
| | | | - Stephen J Nicholls
- Victorian Heart Institute, Monash University, Clayton, Victoria, Australia
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6
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Yu M, Bouatia-Naji N. Insights into the Inherited Basis of Valvular Heart Disease. Curr Cardiol Rep 2024; 26:381-392. [PMID: 38581562 DOI: 10.1007/s11886-024-02041-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/07/2024] [Indexed: 04/08/2024]
Abstract
PURPOSE OF REVIEW: Increases in the availability of genetic data and advances in the tools and methods for their analyses have enabled well-powered genetic association studies that have significantly enhanced our understanding of the genetic factors underlying both rare and common valve diseases. Valvular heart diseases, such as congenital valve malformations and degenerative valve lesions, increase the risk of heart failure, arrhythmias, and sudden death. In this review, we provide an updated overview of our current understanding of the genetic mechanisms underlying valvular heart diseases. With a focus on discoveries from the past 5 years, we describe recent insights into genetic risk and underlying biological pathways. RECENT FINDINGS: Recently acquired knowledge around valvular heart disease genetics has provided important insights into novel mechanisms related to disease pathogenesis. Newly identified risk loci associated valvular heart disease mainly regulate the composition of the extracellular matrix, accelerate the endothelial-to-mesenchymal transition, contribute to cilia formation processes, and play roles in lipid metabolism. Large-scale genomic analyses have identified numerous risk loci, genes, and biological pathways associated with degenerative valve disease and congenital valve malformations. Shared risk genes suggest common mechanistic pathways for various valve pathologies. More recent studies have combined cardiac magnetic resonance imaging and machine learning to offer a novel approach for exploring genotype-phenotype relationships regarding valve disease. Progress in the field holds promise for targeted prevention, particularly through the application of polygenic risk scores, and innovative therapies based on the biological mechanisms for predominant forms of valvular heart diseases.
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Affiliation(s)
- Mengyao Yu
- Shanghai Pudong Hospital, Human Phenome Institute, Fudan University Pudong Medical Center, Zhangjiang Fudan International Innovation Center, Fundan University, 825 Zhangheng Road, Pudong District, Shanghai, 201203, China.
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7
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Sengupta PP, Kluin J, Lee SP, Oh JK, Smits AIPM. The future of valvular heart disease assessment and therapy. Lancet 2024; 403:1590-1602. [PMID: 38554727 DOI: 10.1016/s0140-6736(23)02754-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 08/15/2023] [Accepted: 12/06/2023] [Indexed: 04/02/2024]
Abstract
Valvular heart disease (VHD) is becoming more prevalent in an ageing population, leading to challenges in diagnosis and management. This two-part Series offers a comprehensive review of changing concepts in VHD, covering diagnosis, intervention timing, novel management strategies, and the current state of research. The first paper highlights the remarkable progress made in imaging and transcatheter techniques, effectively addressing the treatment paradox wherein populations at the highest risk of VHD often receive the least treatment. These advances have attracted the attention of clinicians, researchers, engineers, device manufacturers, and investors, leading to the exploration and proposal of treatment approaches grounded in pathophysiology and multidisciplinary strategies for VHD management. This Series paper focuses on innovations involving computational, pharmacological, and bioengineering approaches that are transforming the diagnosis and management of patients with VHD. Artificial intelligence and digital methods are enhancing screening, diagnosis, and planning procedures, and the integration of imaging and clinical data is improving the classification of VHD severity. The emergence of artificial intelligence techniques, including so-called digital twins-eg, computer-generated replicas of the heart-is aiding the development of new strategies for enhanced risk stratification, prognostication, and individualised therapeutic targeting. Various new molecular targets and novel pharmacological strategies are being developed, including multiomics-ie, analytical methods used to integrate complex biological big data to find novel pathways to halt the progression of VHD. In addition, efforts have been undertaken to engineer heart valve tissue and provide a living valve conduit capable of growth and biological integration. Overall, these advances emphasise the importance of early detection, personalised management, and cutting-edge interventions to optimise outcomes amid the evolving landscape of VHD. Although several challenges must be overcome, these breakthroughs represent opportunities to advance patient-centred investigations.
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Affiliation(s)
- Partho P Sengupta
- Division of Cardiovascular Diseases and Hypertension, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA; Cardiovascular Services, Robert Wood Johnson University Hospital, New Brunswick, NJ, USA.
| | - Jolanda Kluin
- Department of Cardiothoracic Surgery, Erasmus MC Rotterdam, Thorax Center, Rotterdam, Netherlands
| | - Seung-Pyo Lee
- Department of Internal Medicine, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, South Korea
| | - Jae K Oh
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Anthal I P M Smits
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, Netherlands
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8
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Small AM, Melloni GEM, Kamanu FK, Bergmark BA, Bonaca MP, O'Donoghue ML, Giugliano RP, Scirica BM, Bhatt D, Antman EM, Raz I, Wiviott SD, Truong B, Wilson PWF, Cho K, O'Donnell CJ, Braunwald E, Lubitz SA, Ellinor P, Peloso GM, Ruff CT, Sabatine MS, Natarajan P, Marston NA. Novel Polygenic Risk Score and Established Clinical Risk Factors for Risk Estimation of Aortic Stenosis. JAMA Cardiol 2024; 9:357-366. [PMID: 38416462 PMCID: PMC10902779 DOI: 10.1001/jamacardio.2024.0011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 12/28/2023] [Indexed: 02/29/2024]
Abstract
Importance Polygenic risk scores (PRSs) have proven to be as strong as or stronger than established clinical risk factors for many cardiovascular phenotypes. Whether this is true for aortic stenosis remains unknown. Objective To develop a novel aortic stenosis PRS and compare its aortic stenosis risk estimation to established clinical risk factors. Design, Setting, and Participants This was a longitudinal cohort study using data from the Million Veteran Program (MVP; 2011-2020), UK Biobank (2006-2010), and 6 Thrombolysis in Myocardial Infarction (TIMI) trials, including DECLARE-TIMI 58 (2013-2018), FOURIER (TIMI 59; 2013-2017), PEGASUS-TIMI 54 (2010-2014), SAVOR-TIMI 53 (2010-2013), SOLID-TIMI 52 (2009-2014), and ENGAGE AF-TIMI 48 (2008-2013), which were a mix of population-based and randomized clinical trials. Individuals from UK Biobank and the MVP meeting a previously validated case/control definition for aortic stenosis were included. All individuals from TIMI trials were included unless they had a documented preexisting aortic valve replacement. Analysis took place from January 2022 to December 2023. Exposures PRS for aortic stenosis (developed using data from MVP and validated in UK Biobank) and other previously validated cardiovascular PRSs, defined either as a continuous variable or as low (bottom 20%), intermediate, and high (top 20%), and clinical risk factors. Main Outcomes Aortic stenosis (defined using International Classification of Diseases or Current Procedural Terminology codes in UK Biobank and MVP or safety event data in the TIMI trials). Results The median (IQR) age in MVP was 67 (57-73) years, and 135 140 of 147 104 participants (92%) were male. The median (IQR) age in the TIMI trials was 66 (54-78) years, and 45 524 of 59 866 participants (71%) were male. The best aortic stenosis PRS incorporated 5 170 041 single-nucleotide variants and was associated with aortic stenosis in both the MVP testing sample (odds ratio, 1.41; 95% CI, 1.37-1.45 per 1 SD PRS; P = 4.6 × 10-116) and TIMI trials (hazard ratio, 1.44; 95% CI, 1.27-1.62 per 1 SD PRS; P = 3.2 × 10-9). Among genetic and clinical risk factors, the aortic stenosis PRS performed comparably to most risk factors besides age, and within a given age range, the combination of clinical and genetic risk factors was additive, providing a 3- to 4-fold increased gradient of risk of aortic stenosis. However, the addition of the aortic stenosis PRS to a model including clinical risk factors only improved risk discrimination of aortic stenosis by 0.01 to 0.02 (C index in MVP: 0.78 with clinical risk factors, 0.79 with risk factors and aortic stenosis PRS; C index in TIMI: 0.71 with clinical risk factors, 0.73 with risk factors and aortic stenosis PRS). Conclusions This study developed and validated 1 of the first aortic stenosis PRSs. While aortic stenosis genetic risk was independent from clinical risk factors and performed comparably to all other risk factors besides age, genetic risk resulted in only a small improvement in overall aortic stenosis risk discrimination beyond age and clinical risk factors. This work sets the stage for further development of an aortic stenosis PRS.
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Affiliation(s)
- Aeron M Small
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Cardiology, Boston Veterans Affairs Healthcare System, West Roxbury, Massachusetts
| | - Giorgio E M Melloni
- TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Frederick K Kamanu
- TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Brian A Bergmark
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Marc P Bonaca
- Department of Medicine, Cardiology and Vascular Medicine, University of Colorado School of Medicine, Aurora
| | - Michelle L O'Donoghue
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Robert P Giugliano
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Benjamin M Scirica
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Deepak Bhatt
- Mount Sinai Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Elliott M Antman
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Itamar Raz
- Department of Endocrinology and Metabolism, Hadassah Hebrew University Hospital, Jerusalem, Israel
| | - Stephen D Wiviott
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Buu Truong
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Peter W F Wilson
- Atlanta Veterans Affairs Medical Center, Decatur, Georgia
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Kelly Cho
- Veterans Affairs Healthcare System, Boston, Massachusetts
- Division of Aging, Mass General Brigham and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Christopher J O'Donnell
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Cardiology, Boston Veterans Affairs Healthcare System, West Roxbury, Massachusetts
| | - Eugene Braunwald
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Steve A Lubitz
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
| | - Patrick Ellinor
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston
| | - Gina M Peloso
- Veterans Affairs Healthcare System, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Christian T Ruff
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Marc S Sabatine
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Pradeep Natarajan
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston
- Center for Genomic Medicine, Massachusetts General Hospital, Boston
| | - Nicholas A Marston
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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9
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Thériault S, Li Z, Abner E, Luan J, Manikpurage HD, Houessou U, Zamani P, Briend M, Boudreau DK, Gaudreault N, Frenette L, Argaud D, Dahmene M, Dagenais F, Clavel MA, Pibarot P, Arsenault BJ, Boekholdt SM, Wareham NJ, Esko T, Mathieu P, Bossé Y. Integrative genomic analyses identify candidate causal genes for calcific aortic valve stenosis involving tissue-specific regulation. Nat Commun 2024; 15:2407. [PMID: 38494474 PMCID: PMC10944835 DOI: 10.1038/s41467-024-46639-4] [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: 06/28/2023] [Accepted: 03/05/2024] [Indexed: 03/19/2024] Open
Abstract
There is currently no medical therapy to prevent calcific aortic valve stenosis (CAVS). Multi-omics approaches could lead to the identification of novel molecular targets. Here, we perform a genome-wide association study (GWAS) meta-analysis including 14,819 cases among 941,863 participants of European ancestry. We report 32 genomic loci, among which 20 are novel. RNA sequencing of 500 human aortic valves highlights an enrichment in expression regulation at these loci and prioritizes candidate causal genes. Homozygous genotype for a risk variant near TWIST1, a gene involved in endothelial-mesenchymal transition, has a profound impact on aortic valve transcriptomics. We identify five genes outside of GWAS loci by combining a transcriptome-wide association study, colocalization, and Mendelian randomization analyses. Using cross-phenotype and phenome-wide approaches, we highlight the role of circulating lipoproteins, blood pressure and inflammation in the disease process. Our findings pave the way for the development of novel therapies for CAVS.
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Affiliation(s)
- Sébastien Thériault
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada.
- Department of Molecular Biology, Medical Biochemistry and Pathology, Université Laval, Quebec City, QC, Canada.
| | - Zhonglin Li
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
| | - Erik Abner
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - Hasanga D Manikpurage
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
| | - Ursula Houessou
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
| | - Pardis Zamani
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
| | - Mewen Briend
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
| | - Dominique K Boudreau
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
| | - Nathalie Gaudreault
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
| | - Lily Frenette
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
| | - Déborah Argaud
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
| | - Manel Dahmene
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
| | - François Dagenais
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
- Department of Surgery, Université Laval, Quebec City, QC, Canada
| | - Marie-Annick Clavel
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
- Department of Medicine, Université Laval, Quebec City, QC, Canada
| | - Philippe Pibarot
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
- Department of Medicine, Université Laval, Quebec City, QC, Canada
| | - Benoit J Arsenault
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
- Department of Medicine, Université Laval, Quebec City, QC, Canada
| | - S Matthijs Boekholdt
- Department of Cardiology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Patrick Mathieu
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
- Department of Surgery, Université Laval, Quebec City, QC, Canada
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City, QC, Canada
- Department of Molecular Medicine, Université Laval, Quebec City, QC, Canada
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10
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Abstract
PURPOSE OF REVIEW Lp(a) is one of the most atherogenic lipoproteins, and significant progress has been made to understand its pathophysiology over the last 20 years. There are now selective therapies in late-stage clinical trials to lower Lp(a). Yet there are many outstanding questions about Lp(a). This review outlines 10 of the most burning questions and tries to answer some of them. RECENT FINDINGS Antisense oligonucleotide (ASO) treatment is currently the most advanced therapy to lower plasma Lp(a) by 60-80%. There are, however, also two small molecule medications in early stage of development with similar efficacy. SUMMARY This review aims to answer important preclinical and clinical questions about the metabolism and physiological role of Lp(a) and also outlines possible therapeutic approaches with nutraceuticals, currently available lipid-lowering therapies and new medications. In addition, ways are illustrated to use Lp(a) as a marker to better predict cardiovascular risk.
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Affiliation(s)
- Karam M Kostner
- Department of Cardiology Mater Hospital and University of Queensland, Brisbane, Australia
| | - Gerhard M Kostner
- Institute of Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
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11
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Lindman BR. Innovative Methods to Tackle Longstanding Goals in Aortic Stenosis. J Am Coll Cardiol 2024; 83:592-594. [PMID: 38296403 DOI: 10.1016/j.jacc.2023.11.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 11/28/2023] [Indexed: 02/08/2024]
Affiliation(s)
- Brian R Lindman
- Structural Heart and Valve Center, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
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12
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Notenboom ML, Van Hoof L, Schuermans A, Takkenberg JJM, Rega FR, Taverne YJHJ. Aortic Valve Embryology, Mechanobiology, and Second Messenger Pathways: Implications for Clinical Practice. J Cardiovasc Dev Dis 2024; 11:49. [PMID: 38392263 PMCID: PMC10888685 DOI: 10.3390/jcdd11020049] [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: 12/24/2023] [Revised: 01/22/2024] [Accepted: 01/29/2024] [Indexed: 02/24/2024] Open
Abstract
During the Renaissance, Leonardo Da Vinci was the first person to successfully detail the anatomy of the aortic root and its adjacent structures. Ever since, novel insights into morphology, function, and their interplay have accumulated, resulting in advanced knowledge on the complex functional characteristics of the aortic valve (AV) and root. This has shifted our vision from the AV as being a static structure towards that of a dynamic interconnected apparatus within the aortic root as a functional unit, exhibiting a complex interplay with adjacent structures via both humoral and mechanical stimuli. This paradigm shift has stimulated surgical treatment strategies of valvular disease that seek to recapitulate healthy AV function, whereby AV disease can no longer be seen as an isolated morphological pathology which needs to be replaced. As prostheses still cannot reproduce the complexity of human nature, treatment of diseased AVs, whether stenotic or insufficient, has tremendously evolved, with a similar shift towards treatments options that are more hemodynamically centered, such as the Ross procedure and valve-conserving surgery. Native AV and root components allow for an efficient Venturi effect over the valve to allow for optimal opening during the cardiac cycle, while also alleviating the left ventricle. Next to that, several receptors are present on native AV leaflets, enabling messenger pathways based on their interaction with blood and other shear-stress-related stimuli. Many of these physiological and hemodynamical processes are under-acknowledged but may hold important clues for innovative treatment strategies, or as potential novel targets for therapeutic agents that halt or reverse the process of valve degeneration. A structured overview of these pathways and their implications for cardiothoracic surgeons and cardiologists is lacking. As such, we provide an overview on embryology, hemodynamics, and messenger pathways of the healthy and diseased AV and its implications for clinical practice, by relating this knowledge to current treatment alternatives and clinical decision making.
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Affiliation(s)
- Maximiliaan L Notenboom
- Department of Cardiothoracic Surgery, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Lucas Van Hoof
- Department of Cardiac Surgery, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Art Schuermans
- Department of Cardiac Surgery, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Johanna J M Takkenberg
- Department of Cardiothoracic Surgery, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Filip R Rega
- Department of Cardiac Surgery, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Yannick J H J Taverne
- Department of Cardiothoracic Surgery, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
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13
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Lan NSR, Khan Z, Watts GF. Lipoprotein(a) and calcific aortic valve disease: current evidence and future directions. Curr Opin Clin Nutr Metab Care 2024; 27:77-86. [PMID: 37650693 DOI: 10.1097/mco.0000000000000976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
PURPOSE OF REVIEW Calcific aortic valve disease (CAVD), the most common cause of aortic stenosis (AS), is characterized by slowly progressive fibrocalcific remodelling of the valve cusps. Once symptomatic, severe AS is associated with poor survival unless surgical or transcatheter valve replacement is performed. Unfortunately, no pharmacological interventions have been demonstrated to alter the natural history of CAVD. Lipoprotein(a) [Lp(a)], a low-density lipoprotein-like particle, has been implicated in the pathophysiology of CAVD. RECENT FINDINGS The mechanisms by which Lp(a) results in CAVD are not well understood. However, the oxidized phospholipids carried by Lp(a) are considered a crucial mediator of the disease process. An increasing number of studies demonstrate a causal association between plasma Lp(a) levels and frequency of AS and need for aortic valve replacement, which is independent of inflammation, as measured by plasma C-reactive protein levels. However, not all studies show an association between Lp(a) and increased progression of calcification in individuals with established CAVD. SUMMARY Epidemiologic, genetic, and Mendelian randomization studies have collectively suggested that Lp(a) is a causal risk factor for CAVD. Whether Lp(a)-lowering can prevent initiation or slow progression of CAVD remains to be demonstrated.
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Affiliation(s)
- Nick S R Lan
- Departments of Cardiology and Internal Medicine, Royal Perth Hospital
- School of Medicine, The University of Western Australia, Perth, Western Australia, Australia
| | - Zahid Khan
- Department of Cardiology, Barts Heart Centre, London
- University of South Wales, Cardiff, UK
| | - Gerald F Watts
- Departments of Cardiology and Internal Medicine, Royal Perth Hospital
- School of Medicine, The University of Western Australia, Perth, Western Australia, Australia
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14
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Thomas PE, Vedel-Krogh S, Nordestgaard BG. Measuring lipoprotein(a) for cardiovascular disease prevention - in whom and when? Curr Opin Cardiol 2024; 39:39-48. [PMID: 38078600 DOI: 10.1097/hco.0000000000001104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
PURPOSE OF REVIEW The aim of this study is to summarize major cardiovascular guideline recommendations on lipoprotein(a) and highlighting recent findings that emphasize how measuring lipoprotein(a) once in all adults is meaningful regardless of age, sex, comorbidities, or ethnicity. RECENT FINDINGS Many international guidelines now recommend once in a lifetime measurement of lipoprotein(a) in all adult individuals to facilitate accurate risk prediction. Lipoprotein(a)-lowering therapy to reduce cardiovascular disease is on the horizon, with results from the first phase 3 trial expected in 2025. SUMMARY Elevated lipoprotein(a) is an independent causal risk factor for atherosclerotic cardiovascular disease and aortic valve stenosis and measuring lipoprotein(a) once in all individuals regardless of age, sex, comorbidities, or ethnicity is meaningful to aid in risk stratification.
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Affiliation(s)
- Peter E Thomas
- Department of Clinical Biochemistry
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev and Gentofte
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Signe Vedel-Krogh
- Department of Clinical Biochemistry
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev and Gentofte
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev and Gentofte
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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15
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Ostrominski JW, Powell-Wiley TM. Risk Stratification and Treatment of Obesity for Primary and Secondary Prevention of Cardiovascular Disease. Curr Atheroscler Rep 2024; 26:11-23. [PMID: 38159162 DOI: 10.1007/s11883-023-01182-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/04/2023] [Indexed: 01/03/2024]
Abstract
PURPOSE OF REVIEW In this review, we discuss contemporary and emerging approaches for risk stratification and management of excess adiposity for the primary and secondary prevention of cardiovascular disease. RECENT FINDINGS Obesity is simultaneously a pandemic-scale disease and major risk factor for the incidence and progression of a wide range of cardiometabolic conditions, but risk stratification and treatment remain clinically challenging. However, sex-, race-, and ethnicity-sensitive anthropometric measures, body composition-focused imaging, and health burden-centric staging systems have emerged as important facilitators of holistic risk prediction. Further, expanding therapeutic approaches, including comprehensive lifestyle programs, anti-obesity pharmacotherapies, device/endoscopy-based interventions, metabolic surgery, and novel healthcare delivery resources offer new empowerment for cardiovascular risk reduction in individuals with obesity. Personalized risk stratification and weight management are central to reducing the lifetime prevalence and impact of cardiovascular disease. Further evidence informing long-term safety, efficacy, and cost-effectiveness of novel approaches targeting obesity are critically needed.
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Affiliation(s)
- John W Ostrominski
- Division of Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Tiffany M Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, National Institutes of Health, Building 10, Room 5-5332, 10 Center Dr., Bethesda, MD, 20892, USA.
- Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA.
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16
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Schuermans A, Pournamdari AB, Lee J, Bhukar R, Ganesh S, Darosa N, Small AM, Yu Z, Hornsby W, Koyama S, Januzzi JL, Honigberg MC, Natarajan P. Integrative proteomic analyses across common cardiac diseases yield new mechanistic insights and enhanced prediction. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.19.23300218. [PMID: 38196601 PMCID: PMC10775327 DOI: 10.1101/2023.12.19.23300218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Cardiac diseases represent common highly morbid conditions for which underlying molecular mechanisms remain incompletely understood. Here, we leveraged 1,459 protein measurements in 44,313 UK Biobank participants to characterize the circulating proteome associated with incident coronary artery disease, heart failure, atrial fibrillation, and aortic stenosis. Multivariable-adjusted Cox regression identified 820 protein-disease associations-including 441 proteins-at Bonferroni-adjusted P <8.6×10 -6 . Cis -Mendelian randomization suggested causal roles that aligned with epidemiological findings for 6% of proteins identified in primary analyses, prioritizing novel therapeutic targets for different cardiac diseases (e.g., interleukin-4 receptor for heart failure and spondin-1 for atrial fibrillation). Interaction analyses identified seven protein-disease associations that differed Bonferroni-significantly by sex. Models incorporating proteomic data (vs. clinical risk factors alone) improved prediction for coronary artery disease, heart failure, and atrial fibrillation. These results lay a foundation for future investigations to uncover novel disease mechanisms and assess the clinical utility of protein-based prevention strategies for cardiac diseases.
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17
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Massera D, Bartz TM, Biggs ML, Sotoodehnia N, Reiner AP, Semba RD, Gottdiener JS, Psaty BM, Owens DS, Kizer JR. Traditional and novel risk factors for incident aortic stenosis in community-dwelling older adults. Heart 2023; 110:57-64. [PMID: 37463733 PMCID: PMC10794538 DOI: 10.1136/heartjnl-2023-322709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 06/28/2023] [Indexed: 07/20/2023] Open
Abstract
OBJECTIVES Calcific aortic stenosis (AS) is the most common valvular disease in older adults, yet its risk factors remain insufficiently studied in this population. Such studies are necessary to enhance understanding of mechanisms, disease management and therapeutics. METHODS The Cardiovascular Health Study is a population-based investigation of older adults that completed adjudication of incident AS over long-term follow-up. We evaluated traditional cardiovascular risk factors or disease, as well as novel risk factors from lipid, inflammatory and mineral metabolism pathways, in relation to incident moderate or severe AS (including AS procedures) and clinically significant AS (severe AS, including procedures). RESULTS Of 5390 participants (age 72.9±5.6 years, 57.6% female, 12.5% black), 287 developed moderate or severe AS, and 175 clinically significant AS, during median follow-up of 13.1 years. After full adjustment, age (HR=1.66 per SD (95% CI=1.45, 1.91)), male sex (HR=1.41 (1.06, 1.87)), diabetes (HR=1.53 (1.10, 2.13)), coronary heart disease (CHD, HR=1.36 (1.01, 1.84)), lipoprotein-associated phospholipase-A2 (LpPLA2) activity (HR=1.21 per SD (1.07, 1.37)) and sCD14 (HR=1.16 per SD (1.01, 1.34)) were associated with incident moderate/severe AS, while black race demonstrated an inverse association (HR=0.40 (0.24, 0.65)), and creatinine-based estimated glomerular filtration rate (eGFRcr) showed a U-shaped relationship. Findings were similar for clinically significant AS, although CHD and sCD14 fell short of significance, but interleukin-(IL) 6 showed a positive association. CONCLUSION This comprehensive evaluation of risk factors for long-term incidence of AS identified associations for diabetes and prevalent CHD, LpPLA2 activity, sCD14 and IL-6, and eGFRcr. These factors may hold clues to biology, preventive efforts and potential therapeutics for those at highest risk.
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Affiliation(s)
- Daniele Massera
- Leon H. Charney Division of Cardiology, New York University Grossman School of Medicine, New York, New York, USA
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Mary L Biggs
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Nona Sotoodehnia
- Division of Cardiology, University of Washington, Seattle, Washington, USA
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology and Health Services, University of Washington, Seattle, Washington, USA
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Richard D Semba
- Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - John S Gottdiener
- Division of Cardiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology and Health Services, University of Washington, Seattle, Washington, USA
| | - David S Owens
- Division of Cardiology, University of Washington, Seattle, Washington, USA
| | - Jorge R Kizer
- Cardiology Section, San Francisco VA Health Care System, San Francisco, California, USA
- Departments of Medicine, Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
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18
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Larsson SC, Butterworth AS, Burgess S. Mendelian randomization for cardiovascular diseases: principles and applications. Eur Heart J 2023; 44:4913-4924. [PMID: 37935836 PMCID: PMC10719501 DOI: 10.1093/eurheartj/ehad736] [Citation(s) in RCA: 56] [Impact Index Per Article: 56.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/13/2023] [Accepted: 10/17/2023] [Indexed: 11/09/2023] Open
Abstract
Large-scale genome-wide association studies conducted over the last decade have uncovered numerous genetic variants associated with cardiometabolic traits and risk factors. These discoveries have enabled the Mendelian randomization (MR) design, which uses genetic variation as a natural experiment to improve causal inferences from observational data. By analogy with the random assignment of treatment in randomized controlled trials, the random segregation of genetic alleles when DNA is transmitted from parents to offspring at gamete formation is expected to reduce confounding in genetic associations. Mendelian randomization analyses make a set of assumptions that must hold for valid results. Provided that the assumptions are well justified for the genetic variants that are employed as instrumental variables, MR studies can inform on whether a putative risk factor likely has a causal effect on the disease or not. Mendelian randomization has been increasingly applied over recent years to predict the efficacy and safety of existing and novel drugs targeting cardiovascular risk factors and to explore the repurposing potential of available drugs. This review article describes the principles of the MR design and some applications in cardiovascular epidemiology.
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Affiliation(s)
- Susanna C Larsson
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Papworth Road, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, Cambridge, UK
- Health Data Research UK, Wellcome Genome Campus and University of Cambridge, Hinxton, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
| | - Stephen Burgess
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Papworth Road, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
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19
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Chai C, Li S, Chen L, Song X. Causal association of calcific aortic valve stenosis and atrial fibrillation: a Mendelian randomization study. Sci Rep 2023; 13:20284. [PMID: 37985719 PMCID: PMC10662195 DOI: 10.1038/s41598-023-47770-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 11/18/2023] [Indexed: 11/22/2023] Open
Abstract
Calcific aortic valve stenosis (CAVS) is associated with an increased risk of atrial fibrillation (AF) in observational studies, but whether these associations are causal has not been determined. This study aimed to explore the potential causal relationship between CAVS and AF via Mendelian randomization (MR). Genetic variants from the genome-wide association study (GWAS) summary data of the European population for CAVS were used to investigate the association with AF. The inverse variance weighted (IVW) approach was used to obtain the primary causal inference, and several sensitivity analysis approaches, such as the MR‒Egger and weighted median (WM), were performed to assess the robustness of the results. A total of nineteen valid and independent genetic SNPs associated with CAVS were obtained from the GWAS database. Genetically predicted CAVS (OR: 1.105; 95% CI: 1.072-1.139; p = 8.60E-11) was associated with an increased risk of AF. Similar results were discovered in the sensitivity analyses by using MR Egger and weighted median approaches. An MR design was used to reduce confounding variables and the potential for reverse causality bias. The results provide genetic evidence that CAVS considerably increased the risk of AF.
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Affiliation(s)
- Chen Chai
- Emergency Center, Hubei Clinical Research Center for Emergency and Resuscitation, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, China
| | - Shoupeng Li
- Emergency Department, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, China
| | - Lin Chen
- Emergency Department, Xiantao First People's Hospital Affiliated to Changjiang University, Xiantao, China
| | - Xiaobing Song
- Emergency Center, Hubei Clinical Research Center for Emergency and Resuscitation, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuchang District, Wuhan, 430071, China.
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20
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Lee YH, Park S. Genetic and Lifestyle-Related Factors Influencing Serum Hyper-Propionylcarnitine Concentrations and Their Association with Metabolic Syndrome and Cardiovascular Disease Risk. Int J Mol Sci 2023; 24:15810. [PMID: 37958793 PMCID: PMC10647558 DOI: 10.3390/ijms242115810] [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: 09/27/2023] [Revised: 10/27/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
The genetic and environmental determinants of serum propionylcarnitine concentrations (PC) remain largely unexplored. This study investigated the impact of genetic and environmental factors on serum propionylcarnitine levels in middle-aged and elderly participants from the Ansan/Ansung cohort of the Korean Genome and Epidemiology Study. Our goal was to understand the role of PC on the risk of metabolic syndrome (MetS) leading to cardiovascular disease, particularly concerning branched-chain amino acid (BCAA) metabolism. We analyzed participants' demographic, lifestyle, and biochemical data with and without MetS. Serum metabolite concentrations, including carnitine, acylcarnitine, and amino acid concentrations, were measured, and the components of MetS were evaluated. Genetic variants associated with low and high PC were selected using genome-wide association studies after adjusting for MetS-related parameters. Further, genetic variants and lifestyle factors that interacted with the polygenic risk score (PRS) were analyzed. Participants with MetS were older and less educated, and their alcohol intake was higher than non-MetS participants. PC was significantly associated with the MetS risk and increased the serum levels of BCAAs and other amino acids. Higher PC positively correlated with MetS components, insulin resistance, and cardiovascular risk factors. Intake of calcium, sodium, and vitamin D were inversely associated with PC, but coffee consumption was positively linked to PC. Multiple C2 And Transmembrane Domain Containing-1 (MCTP1)_rs4290997, Kinesin Family Member-7 (KIF7)_rs2350480, Coagulation Factor-II (F2)_rs2070850, Peroxisomal Biogenesis Factor-3 (PEX3)_rs223231, TBC1 Domain Family Member-22A (TBC1D22A)_rs910543, and Phospholipase A2 Group-IV-C (PLA2G4C)_rs7252136 interact with each other to have a threefold influence on PC. The PRS for the six-genetic variant model also interacted with age; the diet rich in beans, potato, and kimchi; and smoking status, influencing PC. In conclusion, elevated PC was associated with MetS and cardiovascular disease risk, suggesting their potential as disease biomarkers.
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Affiliation(s)
- Yong-Hwa Lee
- Department of Cosmetic Biotechnology, Hoseo University, Asan 31499, Republic of Korea;
| | - Sunmin Park
- Department of Food and Nutrition, Institute of Basic Science, Obesity/Diabetes Research Center, Hoseo University, Asan 31499, Republic of Korea
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Di Costanzo A, Indolfi C, Franzone A, Esposito G, Spaccarotella CAM. Lp(a) in the Pathogenesis of Aortic Stenosis and Approach to Therapy with Antisense Oligonucleotides or Short Interfering RNA. Int J Mol Sci 2023; 24:14939. [PMID: 37834387 PMCID: PMC10573862 DOI: 10.3390/ijms241914939] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/28/2023] [Accepted: 10/02/2023] [Indexed: 10/15/2023] Open
Abstract
To date, no medical therapy can slow the progression of aortic stenosis. Fibrocalcific stenosis is the most frequent form in the general population and affects about 6% of the elderly population. Over the years, diagnosis has evolved thanks to echocardiography and computed tomography assessments. The application of artificial intelligence to electrocardiography could further implement early diagnosis. Patients with severe aortic stenosis, especially symptomatic patients, have valve repair as their only therapeutic option by surgical or percutaneous technique (TAVI). The discovery that the pathogenetic mechanism of aortic stenosis is similar to the atherosclerosis process has made it possible to evaluate the hypothesis of medical therapy for aortic stenosis. Several drugs have been tested to reduce low-density lipoprotein (LDL) and lipoprotein(a) (Lp(a)) levels, inflammation, and calcification. The Proprotein Convertase Subtilisin/Kexin type 9 inhibitors (PCSK9-i) could decrease the progression of aortic stenosis and the requirement for valve implantation. Great interest is related to circulating Lp(a) levels as causally linked to degenerative aortic stenosis. New therapies with ASO (antisense oligonucleotides) and siRNA (small interfering RNA) are currently being tested. Olpasiran and pelacarsen reduce circulating Lp(a) levels by 85-90%. Phase 3 studies are underway to evaluate the effect of these drugs on cardiovascular events (cardiovascular death, non-fatal myocardial injury, and non-fatal stroke) in patients with elevated Lp(a) and CVD (cardiovascular diseases). For instance, if a reduction in Lp(a) levels is associated with aortic stenosis prevention or progression, further prospective clinical trials are warranted to confirm this observation in this high-risk population.
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Affiliation(s)
- Assunta Di Costanzo
- Division of Cardiology, Cardiovascular Research Center, University Magna Graecia Catanzaro, 88100 Catanzaro, Italy;
| | - Ciro Indolfi
- Division of Cardiology, Cardiovascular Research Center, University Magna Graecia Catanzaro, 88100 Catanzaro, Italy;
| | - Anna Franzone
- Division of Cardiology, Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (A.F.); (G.E.); (C.A.M.S.)
| | - Giovanni Esposito
- Division of Cardiology, Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (A.F.); (G.E.); (C.A.M.S.)
| | - Carmen Anna Maria Spaccarotella
- Division of Cardiology, Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (A.F.); (G.E.); (C.A.M.S.)
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22
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Koschinsky ML, Stroes ESG, Kronenberg F. Daring to dream: Targeting lipoprotein(a) as a causal and risk-enhancing factor. Pharmacol Res 2023; 194:106843. [PMID: 37406784 DOI: 10.1016/j.phrs.2023.106843] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 06/15/2023] [Accepted: 06/27/2023] [Indexed: 07/07/2023]
Abstract
Lipoprotein(a) [Lp(a)], a distinct lipoprotein class, has become a major focus for cardiovascular research. This review is written in light of the recent guideline and consensus statements on Lp(a) and focuses on 1) the causal association between Lp(a) and cardiovascular outcomes, 2) the potential mechanisms by which elevated Lp(a) contributes to cardiovascular diseases, 3) the metabolic insights on the production and clearance of Lp(a) and 4) the current and future therapeutic approaches to lower Lp(a) concentrations. The concentrations of Lp(a) are under strict genetic control. There exists a continuous relationship between the Lp(a) concentrations and risk for various endpoints of atherosclerotic cardiovascular disease (ASCVD). One in five people in the Caucasian population is considered to have increased Lp(a) concentrations; the prevalence of elevated Lp(a) is even higher in black populations. This makes Lp(a) a cardiovascular risk factor of major public health relevance. Besides the association between Lp(a) and myocardial infarction, the relationship with aortic valve stenosis has become a major focus of research during the last decade. Genetic studies provided strong support for a causal association between Lp(a) and cardiovascular outcomes: carriers of genetic variants associated with lifelong increased Lp(a) concentration are significantly more frequent in patients with ASCVD. This has triggered the development of drugs that can specifically lower Lp(a) concentrations: mRNA-targeting therapies such as anti-sense oligonucleotide (ASO) therapies and short interfering RNA (siRNA) therapies have opened new avenues to lower Lp(a) concentrations more than 95%. Ongoing Phase II and III clinical trials of these compounds are discussed in this review.
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Affiliation(s)
- Marlys L Koschinsky
- Robarts Research Institute, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada; Department of Physiology & Pharmacology, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Erik S G Stroes
- Department of Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
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23
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Xu ZY, Jing X, Xiong XD. Emerging Role and Mechanism of the FTO Gene in Cardiovascular Diseases. Biomolecules 2023; 13:biom13050850. [PMID: 37238719 DOI: 10.3390/biom13050850] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/10/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
The fat mass and obesity-associated (FTO) gene was the first obesity-susceptibility gene identified through a genome-wide association study (GWAS). A growing number of studies have suggested that genetic variants of FTO are strongly associated with the risk of cardiovascular diseases, including hypertension and acute coronary syndrome. In addition, FTO was also the first N6-methyladenosine (m6A) demethylase, suggesting the reversible nature of m6A modification. m6A is dynamically deposited, removed, and recognized by m6A methylases, demethylases, and m6A binding proteins, respectively. By catalyzing m6A demethylation on mRNA, FTO may participate in various biological processes by modulating RNA function. Recent studies demonstrated that FTO plays a pivotal role in the initiation and progression of cardiovascular diseases such as myocardial fibrosis, heart failure, and atherosclerosis and may hold promise as a potential therapeutic target for treating or preventing a variety of cardiovascular diseases. Here, we review the association between FTO genetic variants and cardiovascular disease risk, summarize the role of FTO as an m6A demethylase in cardiovascular disorders, and discuss future research directions and possible clinical implications.
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Affiliation(s)
- Zi-Yang Xu
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan 523808, China
| | - Xia Jing
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan 523808, China
| | - Xing-Dong Xiong
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan 523808, China
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24
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Bäck M. Icosapent ethyl in cardiovascular prevention: Resolution of inflammation through the eicosapentaenoic acid - resolvin E1 - ChemR23 axis. Pharmacol Ther 2023:108439. [PMID: 37201735 DOI: 10.1016/j.pharmthera.2023.108439] [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: 03/06/2023] [Revised: 05/03/2023] [Accepted: 05/15/2023] [Indexed: 05/20/2023]
Abstract
Cardiovascular outcome trials on omega-3 fatty acids have generated contradictory results but indicate a dose-dependent beneficial effect of eicosapentaenoic acid (EPA). Beneficial cardiovascular effects of EPA may in addition to triglyceride lowering be mediated through alternative mechanisms of action. In this review, the link between EPA and a resolution of atherosclerotic inflammation is addressed. EPA is a substrate for the enzymatic metabolism into the lipid mediator resolvin E1 (RvE1), which activates the receptor ChemR23 to transduce an active resolution of inflammation. This has been shown to dampen the immune response and provide atheroprotective responses in different models. The intermediate EPA metabolite 18-HEPE emerges as a biomarker of EPA metabolism towards proresolving mediators in observational studies. Genetic variations within the EPA-RvE1-ChemR23 axis affecting the response to EPA may open up for precision medicine to identify responders and non-responders to EPA and fish oil supplementation. In conclusion, activation of the EPA-RvE1-ChemR23 axis towards a resolution of inflammation may contribute to beneficial effects in cardiovascular prevention.
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Affiliation(s)
- Magnus Bäck
- Department of Cardiology, Heart and Vascular Center, Karolinska University Hospital, Stockholm, Sweden; Translational Cardiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Université de Lorraine, Inserm, DCAC, Nancy, France; CHRU Nancy, Vandœuvre-lès-Nancy, France.
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25
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Kany S, Rämö JT, Hou C, Jurgens SJ, Nauffal V, Cunningham J, Lau ES, Butte AJ, Ho JE, Olgin JE, Elmariah S, Lindsay ME, Ellinor PT, Pirruccello JP. Assessment of valvular function in over 47,000 people using deep learning-based flow measurements. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.29.23289299. [PMID: 37205587 PMCID: PMC10187336 DOI: 10.1101/2023.04.29.23289299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Valvular heart disease is associated with a high global burden of disease. Even mild aortic stenosis confers increased morbidity and mortality, prompting interest in understanding normal variation in valvular function at scale. We developed a deep learning model to study velocity-encoded magnetic resonance imaging in 47,223 UK Biobank participants. We calculated eight traits, including peak velocity, mean gradient, aortic valve area, forward stroke volume, mitral and aortic regurgitant volume, greatest average velocity, and ascending aortic diameter. We then computed sex-stratified reference ranges for these phenotypes in up to 31,909 healthy individuals. In healthy individuals, we found an annual decrement of 0.03cm 2 in the aortic valve area. Participants with mitral valve prolapse had a 1 standard deviation [SD] higher mitral regurgitant volume (P=9.6 × 10 -12 ), and those with aortic stenosis had a 4.5 SD-higher mean gradient (P=1.5 × 10 -431 ), validating the derived phenotypes' associations with clinical disease. Greater levels of ApoB, triglycerides, and Lp(a) assayed nearly 10 years prior to imaging were associated with higher gradients across the aortic valve. Metabolomic profiles revealed that increased glycoprotein acetyls were also associated with an increased aortic valve mean gradient (0.92 SD, P=2.1 x 10 -22 ). Finally, velocity-derived phenotypes were risk markers for aortic and mitral valve surgery even at thresholds below what is considered relevant disease currently. Using machine learning to quantify the rich phenotypic data of the UK Biobank, we report the largest assessment of valvular function and cardiovascular disease in the general population.
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