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Zhu L, Li N, Shi H, Shao G, Sun L. Genetic causal association between lipidomic profiles, inflammatory proteomics, and aortic stenosis: a Mendelian randomization investigation. Eur J Med Res 2024; 29:446. [PMID: 39217396 PMCID: PMC11365128 DOI: 10.1186/s40001-024-02014-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 08/06/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Aortic stenosis (AS) is a prevalent and serious valvular heart disease with a complex etiology involving genetic predispositions, lipid dysregulation, and inflammation. The specific roles of lipid and protein biomarkers in AS development are not fully elucidated. This study aimed to elucidate the causal relationships between lipidome, inflammatory proteins, and AS using Mendelian randomization (MR), identifying potential therapeutic targets. METHODS Utilizing data from large-scale genome-wide association studies (GWAS) and genome-wide protein quantitative trait loci (pQTL) studies, we conducted MR analyses on 179 plasma lipidome and 91 inflammatory proteins to assess their causal associations with AS. Our approach included Inverse Variance Weighting (IVW), Wald ratio, and robust adjusted profile score (RAPS) analyses to refine these associations. MR-Egger regression was used to address directional horizontal pleiotropy. RESULTS Our MR analysis showed that genetically predicted 50 lipids were associated with AS, including 38 as risk factors [(9 Sterol ester, 18 Phosphatidylcholine, 4 Phosphatidylethanolamine, 1 Phosphatidylinositol and 6 Triacylglycerol)] and 12 as protective. Sterol ester (27:1/17:1) emerged as the most significant risk factor with an odds ratio (OR) of 3.11. Additionally, two inflammatory proteins, fibroblast growth factor 19 (FGF19) (OR = 0.830, P = 0.015), and interleukin 6 (IL-6) (OR = 0.729, P = 1.79E-04) were significantly associated with reduced AS risk. However, a two-step MR analysis showed no significant mediated correlations between these proteins and the lipid-AS pathway. CONCLUSION This study reveals complex lipid and protein interactions in AS, identifying potential molecular targets for therapy. These results go beyond traditional lipid profiling and significantly advance our genetic and molecular understanding of AS, highlighting potential pathways for intervention and prevention.
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Affiliation(s)
- Linwen Zhu
- Department of Cardiovascular Surgery, Lihuili Hospital Affiliated to Ningbo University, Ningbo, 315041, Zhejiang, China
| | - Ni Li
- Department of Cardiovascular Surgery, Lihuili Hospital Affiliated to Ningbo University, Ningbo, 315041, Zhejiang, China
- Institute of Pharmaceutics, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China
| | - Huoshun Shi
- Department of Cardiovascular Surgery, Lihuili Hospital Affiliated to Ningbo University, Ningbo, 315041, Zhejiang, China
| | - Guofeng Shao
- Department of Cardiovascular Surgery, Lihuili Hospital Affiliated to Ningbo University, Ningbo, 315041, Zhejiang, China.
| | - Lebo Sun
- Department of Cardiovascular Surgery, Lihuili Hospital Affiliated to Ningbo University, Ningbo, 315041, Zhejiang, China.
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Zhuang W, Li J, Qu T, Shao R, Chen J, Li S, Chen M, Wang Y. A lipid activated color switchable probe for the imaging of diseased aortic valves. Talanta 2024; 275:126069. [PMID: 38692042 DOI: 10.1016/j.talanta.2024.126069] [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: 02/21/2024] [Revised: 03/26/2024] [Accepted: 04/06/2024] [Indexed: 05/03/2024]
Abstract
Lipid deposition has been considered one of the key factors in the occurrence of valvular heart disease (VHD) and a great potential target for the diagnosis of VHD. However, the development of lipid imaging technologies and efficient lipid specific probes is in urgent demand. In this work, we have prepared a lipid droplets (LDs) targeted fluorescence probe CPTM based on a push-pull electronic structure for the imaging of diseased aortic valves. CPTM showed obvious twisted intramolecular charge transfer (TICT) effect and its emission changed from 600 nm in water to 508 nm in oil. CPTM not only exhibited good biocompatibility and high photostability, but also impressive LDs specific imaging performance in human primary valvular interstitial cells and human diseased aortic valves. Moreover, the dynamic changes of intracellular LDs could be monitor in real-time after staining with CPTM. These results were expected to offer new ideals for the designing of novel LDs specific probes for further bioimaging applications.
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Affiliation(s)
- Weihua Zhuang
- Laboratory of Cardiac Structure and Function, Institute of Cardiovascular Diseases, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, PR China; National Engineering Research Center for Biomaterials, Sichuan University, 29 Wangjiang Road, Chengdu, 610065, PR China
| | - Junli Li
- Laboratory of Cardiac Structure and Function, Institute of Cardiovascular Diseases, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, PR China
| | - Tianyi Qu
- Laboratory of Cardiac Structure and Function, Institute of Cardiovascular Diseases, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, PR China
| | - Ruochen Shao
- Department of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, PR China
| | - Jingruo Chen
- Laboratory of Cardiac Structure and Function, Institute of Cardiovascular Diseases, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, PR China; Department of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, PR China
| | - Shufen Li
- Laboratory of Cardiac Structure and Function, Institute of Cardiovascular Diseases, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, PR China.
| | - Mao Chen
- Laboratory of Cardiac Structure and Function, Institute of Cardiovascular Diseases, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, PR China; Department of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, PR China.
| | - Yunbing Wang
- National Engineering Research Center for Biomaterials, Sichuan University, 29 Wangjiang Road, Chengdu, 610065, PR China.
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Li Z, Cheng S, Guo B, Ding L, Liang Y, Shen Y, Li J, Hu Y, Long T, Guo X, Ge J, Gao R, Pibarot P, Zhang B, Xu H, Clavel MA, Wu Y. Wearable device-measured moderate to vigorous physical activity and risk of degenerative aortic valve stenosis. Eur Heart J 2024:ehae406. [PMID: 38953786 DOI: 10.1093/eurheartj/ehae406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 04/04/2024] [Accepted: 06/17/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND AND AIMS Physical activity has proven effective in preventing atherosclerotic cardiovascular disease, but its role in preventing degenerative valvular heart disease (VHD) remains uncertain. This study aimed to explore the dose-response association between moderate to vigorous physical activity (MVPA) volume and the risk of degenerative VHD among middle-aged adults. METHODS A full week of accelerometer-derived MVPA data from 87 248 UK Biobank participants (median age 63.3, female: 56.9%) between 2013 and 2015 were used for primary analysis. Questionnaire-derived MVPA data from 361 681 UK Biobank participants (median age 57.7, female: 52.7%) between 2006 and 2010 were used for secondary analysis. The primary outcome was the diagnosis of incident degenerative VHD, including aortic valve stenosis (AS), aortic valve regurgitation (AR), and mitral valve regurgitation (MR). The secondary outcome was VHD-related intervention or mortality. RESULTS In the accelerometer-derived MVPA cohort, 555 incident AS, 201 incident AR, and 655 incident MR occurred during a median follow-up of 8.11 years. Increased MVPA volume showed a steady decline in AS risk and subsequent AS-related intervention or mortality risk, levelling off beyond approximately 300 min/week. In contrast, its association with AR or MR incidence was less apparent. The adjusted rates of AS incidence (95% confidence interval) across MVPA quartiles (Q1-Q4) were 11.60 (10.20, 13.20), 7.82 (6.63, 9.23), 5.74 (4.67, 7.08), and 5.91 (4.73, 7.39) per 10 000 person-years. The corresponding adjusted rates of AS-related intervention or mortality were 4.37 (3.52, 5.43), 2.81 (2.13, 3.71), 1.93 (1.36, 2.75), and 2.14 (1.50, 3.06) per 10 000 person-years, respectively. Aortic valve stenosis risk reduction was also observed with questionnaire-based MVPA data [adjusted absolute difference Q4 vs. Q1: AS incidence, -1.41 (-.67, -2.14) per 10 000 person-years; AS-related intervention or mortality, -.38 (-.04, -.88) per 10 000 person-years]. The beneficial association remained consistent in high-risk populations for AS, including patients with hypertension, obesity, dyslipidaemia, and chronic kidney disease. CONCLUSIONS Higher MVPA volume was associated with a lower risk of developing AS and subsequent AS-related intervention or mortality. Future research needs to validate these findings in diverse populations with longer durations and repeated periods of activity monitoring.
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Affiliation(s)
- Ziang Li
- State Key Laboratory of Cardiovascular Disease, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China
- Research Center, Institut Universitaire de Cardiologie et de Pneumologie de Québec (Quebec Heart & Lung Institute), Université Laval, 2725 Chemin Sainte-Foy, Québec City, Québec, Canada G1V-4G5
| | - Sijing Cheng
- State Key Laboratory of Cardiovascular Disease, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China
| | - Bo Guo
- Department of Medicine for Sports and Performing Arts, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Lu Ding
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Yu Liang
- Department of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Yinghan Shen
- Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
| | - Jinyue Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yiqing Hu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
| | - Tianxin Long
- State Key Laboratory of Cardiovascular Disease, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China
| | - Xinli Guo
- State Key Laboratory of Cardiovascular Disease, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China
| | - Junbo Ge
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
| | - Runlin Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical College, No.167 Beilishi Road, Beijing 100037, China
| | - Philippe Pibarot
- Research Center, Institut Universitaire de Cardiologie et de Pneumologie de Québec (Quebec Heart & Lung Institute), Université Laval, 2725 Chemin Sainte-Foy, Québec City, Québec, Canada G1V-4G5
| | - Bin Zhang
- State Key Laboratory of Cardiovascular Disease, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China
- Research Center, Institut Universitaire de Cardiologie et de Pneumologie de Québec (Quebec Heart & Lung Institute), Université Laval, 2725 Chemin Sainte-Foy, Québec City, Québec, Canada G1V-4G5
| | - Haiyan Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical College, No.167 Beilishi Road, Beijing 100037, China
| | - Marie-Annick Clavel
- Research Center, Institut Universitaire de Cardiologie et de Pneumologie de Québec (Quebec Heart & Lung Institute), Université Laval, 2725 Chemin Sainte-Foy, Québec City, Québec, Canada G1V-4G5
| | - Yongjian Wu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical College, No.167 Beilishi Road, Beijing 100037, China
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Marrero N, Jha K, Razavi AC, Boakye E, Anchouche K, Dzaye O, Budoff MJ, Tsai MY, Shah SJ, Rotter JI, Guo X, Yao J, Blumenthal RS, Thanassoulis G, Post WS, Blaha MJ, Whelton SP. Identifying People at High Risk for Severe Aortic Stenosis: Aortic Valve Calcium Versus Lipoprotein(a) and Low-Density Lipoprotein Cholesterol. Circ Cardiovasc Imaging 2024; 17:e016372. [PMID: 38889215 DOI: 10.1161/circimaging.123.016372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 04/11/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Aortic valve calcification (AVC), Lp(a) [lipoprotein(a)], and low-density lipoprotein cholesterol (LDL-C) are associated with severe aortic stenosis (AS). We aimed to determine which of these risk factors were most strongly associated with the risk of incident severe AS. METHODS A total of 6792 participants from the MESA study (Multi-Ethnic Study of Atherosclerosis) had computed tomography-quantified AVC, Lp(a), and LDL-C values at MESA visit 1 (2000-2002). We calculated the absolute event rate of incident adjudicated severe AS per 1000 person-years and performed multivariable adjusted Cox proportional hazards regression. RESULTS The mean age was 62 years old, and 47% were women. Over a median 16.7-year follow-up, the rate of incident severe AS increased exponentially with higher AVC, regardless of Lp(a) or LDL-C values. Participants with AVC=0 had a very low rate of severe AS even with elevated Lp(a) ≥50 mg/dL (<0.1/1000 person-years) or LDL-C ≥130 mg/dL (0.1/1000 person-years). AVC >0 was strongly associated with severe AS when Lp(a) <50 mg/dL hazard ratio (HR) of 33.8 (95% CI, 16.4-70.0) or ≥50 mg/dL HR of 61.5 (95% CI, 7.7-494.2) and when LDL-C <130 mg/dL HR of 31.1 (95% CI, 14.4-67.1) or ≥130 mg/dL HR of 50.2 (95% CI, 13.2-191.9). CONCLUSIONS AVC better identifies people at high risk for severe AS compared with Lp(a) or LDL-C, and people with AVC=0 have a very low long-term rate of severe AS regardless of Lp(a) or LDL-C level. These results suggest AVC should be the preferred prognostic risk marker to identify patients at high risk for severe AS, which may help inform participant selection for future trials testing novel strategies to prevent severe AS.
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Affiliation(s)
| | - Kunal Jha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (K.J., A.C.R., E.B., O.D., R.S.B., W.S.P., M.J.B., S.P.W.)
- University of Louisville, Division of Cardiology, KY (K.J.)
| | - Alexander C Razavi
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (K.J., A.C.R., E.B., O.D., R.S.B., W.S.P., M.J.B., S.P.W.)
- Center for Heart Disease Prevention, Emory School of Medicine, Atlanta, GA (A.C.R.)
| | - Ellen Boakye
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (K.J., A.C.R., E.B., O.D., R.S.B., W.S.P., M.J.B., S.P.W.)
| | - Khalil Anchouche
- Preventive and Genomic Cardiology, Department of Medicine, McGill University, and the McGill University Health Center Research Institute, Montréal, Québec, Canada (K.A., G.T.)
| | - Omar Dzaye
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (K.J., A.C.R., E.B., O.D., R.S.B., W.S.P., M.J.B., S.P.W.)
| | - Matthew J Budoff
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (K.J., A.C.R., E.B., O.D., R.S.B., W.S.P., M.J.B., S.P.W.)
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (M.Y.T.)
| | - Sanjiv J Shah
- Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL (S.J.S.)
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences (J.I.R., X.G., J.Y.), The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Xiuqing Guo
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences (J.I.R., X.G., J.Y.), The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Jie Yao
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences (J.I.R., X.G., J.Y.), The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Roger S Blumenthal
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (K.J., A.C.R., E.B., O.D., R.S.B., W.S.P., M.J.B., S.P.W.)
| | - George Thanassoulis
- Preventive and Genomic Cardiology, Department of Medicine, McGill University, and the McGill University Health Center Research Institute, Montréal, Québec, Canada (K.A., G.T.)
| | - Wendy S Post
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (K.J., A.C.R., E.B., O.D., R.S.B., W.S.P., M.J.B., S.P.W.)
| | - Michael J Blaha
- Department of Medicine (M.J.B.), The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Seamus P Whelton
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (K.J., A.C.R., E.B., O.D., R.S.B., W.S.P., M.J.B., S.P.W.)
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Yoon D, Choi B, Kim JE, Kim EY, Chung SH, Min HJ, Sung Y, Chang EJ, Song JK. Autotaxin inhibition attenuates the aortic valve calcification by suppressing inflammation-driven fibro-calcific remodeling of valvular interstitial cells. BMC Med 2024; 22:122. [PMID: 38486246 PMCID: PMC10941471 DOI: 10.1186/s12916-024-03342-x] [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: 06/25/2023] [Accepted: 03/05/2024] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND Patients with fibro-calcific aortic valve disease (FCAVD) have lipid depositions in their aortic valve that engender a proinflammatory impetus toward fibrosis and calcification and ultimately valve leaflet stenosis. Although the lipoprotein(a)-autotaxin (ATX)-lysophosphatidic acid axis has been suggested as a potential therapeutic target to prevent the development of FCAVD, supportive evidence using ATX inhibitors is lacking. We here evaluated the therapeutic potency of an ATX inhibitor to attenuate valvular calcification in the FCAVD animal models. METHODS ATX level and activity in healthy participants and patients with FCAVD were analyzed using a bioinformatics approach using the Gene Expression Omnibus datasets, enzyme-linked immunosorbent assay (ELISA), immunohistochemistry, and western blotting. To evaluate the efficacy of ATX inhibitor, interleukin-1 receptor antagonist-deficient (Il1rn-/-) mice and cholesterol-enriched diet-induced rabbits were used as the FCAVD models, and primary human valvular interstitial cells (VICs) from patients with calcification were employed. RESULTS The global gene expression profiles of the aortic valve tissue of patients with severe FCAVD demonstrated that ATX gene expression was significantly upregulated and correlated with lipid retention (r = 0.96) or fibro-calcific remodeling-related genes (r = 0.77) in comparison to age-matched non-FCAVD controls. Orally available ATX inhibitor, BBT-877, markedly ameliorated the osteogenic differentiation and further mineralization of primary human VICs in vitro. Additionally, ATX inhibition significantly attenuated fibrosis-related factors' production, with a detectable reduction of osteogenesis-related factors, in human VICs. Mechanistically, ATX inhibitor prohibited fibrotic changes in human VICs via both canonical and non-canonical TGF-β signaling, and subsequent induction of CTGF, a key factor in tissue fibrosis. In the in vivo FCAVD model system, ATX inhibitor exposure markedly reduced calcific lesion formation in interleukin-1 receptor antagonist-deficient mice (Il1rn-/-, P = 0.0210). This inhibition ameliorated the rate of change in the aortic valve area (P = 0.0287) and mean pressure gradient (P = 0.0249) in the FCAVD rabbit model. Moreover, transaortic maximal velocity (Vmax) was diminished with ATX inhibitor administration (mean Vmax = 1.082) compared to vehicle control (mean Vmax = 1.508, P = 0.0221). Importantly, ATX inhibitor administration suppressed the effects of a high-cholesterol diet and vitamin D2-driven fibrosis, in association with a reduction in macrophage infiltration and calcific deposition, in the aortic valves of this rabbit model. CONCLUSIONS ATX inhibition attenuates the development of FCAVD while protecting against fibrosis and calcification in VICs, suggesting the potential of using ATX inhibitors to treat FCAVD.
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Affiliation(s)
- Dohee Yoon
- Department of Biochemistry and Molecular Biology, Brain Korea 21 Project, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
- Stem Cell Immunomodulation Research Center, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Bongkun Choi
- Department of Biochemistry and Molecular Biology, Brain Korea 21 Project, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
- Stem Cell Immunomodulation Research Center, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Ji-Eun Kim
- Department of Biochemistry and Molecular Biology, Brain Korea 21 Project, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
- Stem Cell Immunomodulation Research Center, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Eun-Young Kim
- Department of Biochemistry and Molecular Biology, Brain Korea 21 Project, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
- Stem Cell Immunomodulation Research Center, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Soo-Hyun Chung
- Department of Biochemistry and Molecular Biology, Brain Korea 21 Project, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
- Stem Cell Immunomodulation Research Center, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Hyo-Jin Min
- Department of Biochemistry and Molecular Biology, Brain Korea 21 Project, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
- Stem Cell Immunomodulation Research Center, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Yoolim Sung
- Department of Biochemistry and Molecular Biology, Brain Korea 21 Project, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
- Stem Cell Immunomodulation Research Center, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Eun-Ju Chang
- Department of Biochemistry and Molecular Biology, Brain Korea 21 Project, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
- Stem Cell Immunomodulation Research Center, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
| | - Jae-Kwan Song
- Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
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Zhu Z, Liu Z, Zhang D, Li L, Pei J, Cai L. Models for calcific aortic valve disease in vivo and in vitro. CELL REGENERATION (LONDON, ENGLAND) 2024; 13:6. [PMID: 38424219 PMCID: PMC10904700 DOI: 10.1186/s13619-024-00189-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 02/06/2024] [Indexed: 03/02/2024]
Abstract
Calcific Aortic Valve Disease (CAVD) is prevalent among the elderly as the most common valvular heart disease. Currently, no pharmaceutical interventions can effectively reverse or prevent CAVD, making valve replacement the primary therapeutic recourse. Extensive research spanning decades has contributed to the establishment of animal and in vitro cell models, which facilitates a deeper understanding of the pathophysiological progression and underlying mechanisms of CAVD. In this review, we provide a comprehensive summary and analysis of the strengths and limitations associated with commonly employed models for the study of valve calcification. We specifically emphasize the advancements in three-dimensional culture technologies, which replicate the structural complexity of the valve. Furthermore, we delve into prospective recommendations for advancing in vivo and in vitro model studies of CAVD.
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Affiliation(s)
- Zijin Zhu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Science, National & Local Joint Engineering Research Center of High-Throughput Drug Screening Technology, Hubei University, Wuhan, 430062, China
| | - Zhirong Liu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Science, National & Local Joint Engineering Research Center of High-Throughput Drug Screening Technology, Hubei University, Wuhan, 430062, China
| | - Donghui Zhang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Science, National & Local Joint Engineering Research Center of High-Throughput Drug Screening Technology, Hubei University, Wuhan, 430062, China
| | - Li Li
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Science, National & Local Joint Engineering Research Center of High-Throughput Drug Screening Technology, Hubei University, Wuhan, 430062, China.
| | - Jianqiu Pei
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Beijing Key Laboratory of Metabolic Disorders Related Cardiovascular Disease, Capital Medical University, Beijing, 100069, China.
| | - Lin Cai
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Science, National & Local Joint Engineering Research Center of High-Throughput Drug Screening Technology, Hubei University, Wuhan, 430062, China.
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 124] [Impact Index Per Article: 124.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Abbas M, Diallo A, Goodney G, Gaye A. Leveraging the transcriptome to further our understanding of GWAS findings: eQTLs associated with genes related to LDL and LDL subclasses, in a cohort of African Americans. Front Genet 2024; 15:1345541. [PMID: 38384714 PMCID: PMC10879560 DOI: 10.3389/fgene.2024.1345541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 01/16/2024] [Indexed: 02/23/2024] Open
Abstract
Background: GWAS discoveries often pose a significant challenge in terms of understanding their underlying mechanisms. Further research, such as an integration with expression quantitative trait locus (eQTL) analyses, are required to decipher the mechanisms connecting GWAS variants to phenotypes. An eQTL analysis was conducted on genes associated with low-density lipoprotein (LDL) cholesterol and its subclasses, with the aim of pinpointing genetic variants previously implicated in GWAS studies focused on lipid-related traits. Notably, the study cohort consisted of African Americans, a population characterized by a heightened prevalence of hypercholesterolemia. Methods: A comprehensive differential expression (DE) analysis was undertaken, with a dataset of 17,948 protein-coding mRNA transcripts extracted from the whole-blood transcriptomes of 416 samples to identify mRNA transcripts associated with LDL, with further granularity delineated between small LDL and large LDL subclasses. Subsequently, eQTL analysis was conducted with a subset of 242 samples for which whole-genome sequencing data were available to identify single-nucleotide polymorphisms (SNPs) associated with the LDL-related mRNA transcripts. Lastly, plausible functional connections were established between the identified eQTLs and genetic variants reported in the GWAS catalogue. Results: DE analysis revealed 1,048, 284, and 94 mRNA transcripts that exhibited differential expression in response to LDL, small LDL, and large LDL, respectively. The eQTL analysis identified a total of 9,950 significant SNP-mRNA associations involving 6,955 SNPs including a subset 101 SNPs previously documented in GWAS of LDL and LDL-related traits. Conclusion: Through comprehensive differential expression analysis, we identified numerous mRNA transcripts responsive to LDL, small LDL, and large LDL. Subsequent eQTL analysis revealed a rich landscape of eQTL-mRNA associations, including a subset of eQTL reported in GWAS studies of LDL and related traits. The study serves as a testament to the important role of integrative genomics in unraveling the enigmatic GWAS relationships between genetic variants and the complex fabric of human traits and diseases.
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Affiliation(s)
- Malak Abbas
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Ana Diallo
- School of Nursing, Virginia Commonwealth University, Richmond, VA, United States
| | - Gabriel Goodney
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Amadou Gaye
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
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Li ZH, Hao QY, Zeng YH, Guo JB, Li SC, Gao JW, Yang PZ. Remnant cholesterol and the risk of aortic valve calcium progression: insights from the MESA study. Cardiovasc Diabetol 2024; 23:20. [PMID: 38195550 PMCID: PMC10777602 DOI: 10.1186/s12933-023-02081-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 11/28/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Remnant cholesterol (RC) is implicated in the risk of cardiovascular disease. However, comprehensive population-based studies elucidating its association with aortic valve calcium (AVC) progression are limited, rendering its precise role in AVC ambiguous. METHODS From the Multi-Ethnic Study of Atherosclerosis database, we included 5597 individuals (61.8 ± 10.1 years and 47.5% men) without atherosclerotic cardiovascular disease at baseline for analysis. RC was calculated as total cholesterol minus high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C), as estimated by the Martin/Hopkins equation. Using the adjusted Cox regression analyses, we examined the relationships between RC levels and AVC progression. Furthermore, we conducted discordance analyses to evaluate the relative AVC risk in RC versus LDL-C discordant/concordant groups. RESULTS During a median follow-up of 2.4 ± 0.9 years, 568 (10.1%) participants exhibited AVC progression. After adjusting for traditional cardiovascular risk factors, the HRs (95% CIs) for AVC progression comparing the second, third, and fourth quartiles of RC levels with the first quartile were 1.195 (0.925-1.545), 1.322 (1.028-1.701) and 1.546 (1.188-2.012), respectively. Notably, the discordant high RC/low LDL-C group demonstrated a significantly elevated risk of AVC progression compared to the concordant low RC/LDL-C group based on their medians (HR, 1.528 [95% CI 1.201-1.943]). This pattern persisted when clinical LDL-C threshold was set at 100 and 130 mg/dL. The association was consistently observed across various sensitivity analyses. CONCLUSIONS In atherosclerotic cardiovascular disease-free individuals, elevated RC is identified as a residual risk for AVC progression, independent of traditional cardiovascular risk factors. The causal relationship of RC to AVC and the potential for targeted RC reduction in primary prevention require deeper exploration.
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Affiliation(s)
- Ze-Hua Li
- Department of Cardiology, Laboratory of Heart Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Qing-Yun Hao
- Department of Cardiology, Laboratory of Heart Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Yu-Hong Zeng
- Medical Apparatus and Equipment Deployment, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Jing-Bin Guo
- Department of Cardiology, Laboratory of Heart Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Shi-Chao Li
- Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Jing-Wei Gao
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Ping-Zhen Yang
- Department of Cardiology, Laboratory of Heart Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
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10
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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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11
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Chiesa G, Zenti MG, Baragetti A, Barbagallo CM, Borghi C, Colivicchi F, Maggioni AP, Noto D, Pirro M, Rivellese AA, Sampietro T, Sbrana F, Arca M, Averna M, Catapano AL. Consensus document on Lipoprotein(a) from the Italian Society for the Study of Atherosclerosis (SISA). Nutr Metab Cardiovasc Dis 2023; 33:1866-1877. [PMID: 37586921 DOI: 10.1016/j.numecd.2023.07.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/07/2023] [Accepted: 07/13/2023] [Indexed: 08/18/2023]
Abstract
AIMS In view of the consolidating evidence on the causal role of Lp(a) in cardiovascular disease, the Italian Society for the Study of Atherosclerosis (SISA) has assembled a consensus on Lp(a) genetics and epidemiology, together with recommendations for its measurement and current and emerging therapeutic approaches to reduce its plasma levels. Data on the Italian population are also provided. DATA SYNTHESIS Lp(a) is constituted by one apo(a) molecule and a lipoprotein closely resembling to a low-density lipoprotein (LDL). Its similarity with an LDL, together with its ability to carry oxidized phospholipids are considered the two main features making Lp(a) harmful for cardiovascular health. Plasma Lp(a) concentrations vary over about 1000 folds in humans and are genetically determined, thus they are quite stable in any individual. Mendelian Randomization studies have suggested a causal role of Lp(a) in atherosclerotic cardiovascular disease (ASCVD) and aortic valve stenosis and observational studies indicate a linear direct correlation between cardiovascular disease and Lp(a) plasma levels. Lp(a) measurement is strongly recommended once in a patient's lifetime, particularly in FH subjects, but also as part of the initial lipid screening to assess cardiovascular risk. The apo(a) size polymorphism represents a challenge for Lp(a) measurement in plasma, but new strategies are overcoming these difficulties. A reduction of Lp(a) levels can be currently attained only by plasma apheresis and, moderately, with PCSK9 inhibitor treatment. CONCLUSIONS Awaiting the approval of selective Lp(a)-lowering drugs, an intensive management of the other risk factors for individuals with elevated Lp(a) levels is strongly recommended.
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Affiliation(s)
- Giulia Chiesa
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università Degli Studi di Milano, Milan, Italy.
| | - Maria Grazia Zenti
- Section of Diabetes and Metabolism, Pederzoli Hospital, Peschiera Del Garda, Verona, Italy.
| | - Andrea Baragetti
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università Degli Studi di Milano, Milan, Italy; IRCCS MultiMedica, Sesto San Giovanni, Milan, Italy
| | - Carlo M Barbagallo
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy
| | - Claudio Borghi
- Department of Cardiovascular Medicine, IRCCS AOU S. Orsola, Bologna, Italy
| | - Furio Colivicchi
- Division of Clinical Cardiology, San Filippo Neri Hospital, Rome, Italy
| | - Aldo P Maggioni
- ANMCO Research Center, Heart Care Foundation, Firenze, Italy
| | - Davide Noto
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy
| | - Matteo Pirro
- Unit of Internal Medicine, Angiology and Arteriosclerosis Diseases, Department of Medicine and Surgery, University of Perugia, Italy
| | - Angela A Rivellese
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Tiziana Sampietro
- Lipoapheresis Unit, Reference Center for Diagnosis and Treatment of Inherited Dyslipidemias, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Francesco Sbrana
- Lipoapheresis Unit, Reference Center for Diagnosis and Treatment of Inherited Dyslipidemias, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Marcello Arca
- Department of Translational and Precision Medicine (DTPM), Sapienza University of Rome, Policlinico Umberto I, Rome, Italy
| | - Maurizio Averna
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy; Institute of Biophysics, National Council of Researches, Palermo, Italy
| | - Alberico L Catapano
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università Degli Studi di Milano, Milan, Italy; IRCCS MultiMedica, Sesto San Giovanni, Milan, Italy
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12
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Burgess S, Davey Smith G, Davies NM, Dudbridge F, Gill D, Glymour MM, Hartwig FP, Kutalik Z, Holmes MV, Minelli C, Morrison JV, Pan W, Relton CL, Theodoratou E. Guidelines for performing Mendelian randomization investigations: update for summer 2023. Wellcome Open Res 2023; 4:186. [PMID: 32760811 PMCID: PMC7384151 DOI: 10.12688/wellcomeopenres.15555.3] [Citation(s) in RCA: 180] [Impact Index Per Article: 180.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/19/2023] [Indexed: 08/08/2023] Open
Abstract
This paper provides guidelines for performing Mendelian randomization investigations. It is aimed at practitioners seeking to undertake analyses and write up their findings, and at journal editors and reviewers seeking to assess Mendelian randomization manuscripts. The guidelines are divided into ten sections: motivation and scope, data sources, choice of genetic variants, variant harmonization, primary analysis, supplementary and sensitivity analyses (one section on robust statistical methods and one on other approaches), extensions and additional analyses, data presentation, and interpretation. These guidelines will be updated based on feedback from the community and advances in the field. Updates will be made periodically as needed, and at least every 24 months.
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Affiliation(s)
- Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- BHF Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Neil M. Davies
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Division of Psychiatry, University College London, London, UK
- Department of Statistical Sciences, University College London, London, WC1E 6BT, UK
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - M. Maria Glymour
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Fernando P. Hartwig
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Zoltán Kutalik
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- University Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland
| | - Michael V. Holmes
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Cosetta Minelli
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Jean V. Morrison
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Wei Pan
- Division of Biostatistics, University of Minnesota, Minneapolis, MN, USA
| | - Caroline L. Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
- Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
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13
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Bohbot Y, Coisne A, Altes A, Levy F, Di Lena C, Aghezzaf S, Maréchaux S, Rusinaru D, Tribouilloy C. Is "moderate" aortic stenosis still the right name? A review of the literature. Arch Cardiovasc Dis 2023; 116:411-418. [PMID: 37230916 DOI: 10.1016/j.acvd.2023.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 04/19/2023] [Accepted: 04/20/2023] [Indexed: 05/27/2023]
Abstract
Current guidelines recommend aortic valve replacement for symptomatic or selected asymptomatic high-risk patients with severe aortic stenosis. Conversely, a watchful waiting attitude applies to patients with moderate aortic stenosis, regardless of their risk profile and symptoms, until the echocardiographic thresholds of severe aortic stenosis are reached. This strategy is based on data reporting high mortality in untreated severe symptomatic aortic stenosis, whereas moderate aortic stenosis has always been perceived as a non-threatening condition, with a benefit-risk balance against surgery. Meanwhile, numerous studies have reported a worrying event rate in these patients, surgical techniques and outcomes have improved significantly and the use of transcatheter aortic valve replacement has become more widespread and extended to lower-risk patients, leaving this strategy open to question, especially for patients with moderate aortic stenosis and left ventricular dysfunction. In this review, we summarize the current state of knowledge about moderate aortic stenosis progression and prognosis. We also discuss the particular case of moderate aortic stenosis associated with left ventricular dysfunction, and the ongoing trials that that might change our paradigm for the management of this "moderate" valvular heart disease.
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Affiliation(s)
- Yohann Bohbot
- Department of Cardiology, Amiens University Hospital, 80054 Amiens, France; UR UPJV 7517, Jules-Verne University of Picardie, 80054 Amiens, France.
| | - Augustin Coisne
- Lille catholic hospitals, Heart valve center, cardiology deparment, ETHICS EA, 7446, Lille Catholic University, France; Cardiovascular Research Foundation, New York, NY 10019, USA
| | - Alexandre Altes
- Department of Cardiology, Heart Valve Centre, Lille Catholic University Hospital, 59400 Lille, France
| | - Franck Levy
- Department of Cardiology, Centre Cardiothoracique de Monaco, 98000 Monaco, Monaco
| | - Chloé Di Lena
- Department of Cardiology, Amiens University Hospital, 80054 Amiens, France
| | - Samy Aghezzaf
- Lille catholic hospitals, Heart valve center, cardiology deparment, ETHICS EA, 7446, Lille Catholic University, France
| | - Sylvestre Maréchaux
- UR UPJV 7517, Jules-Verne University of Picardie, 80054 Amiens, France; Department of Cardiology, Heart Valve Centre, Lille Catholic University Hospital, 59400 Lille, France
| | - Dan Rusinaru
- Department of Cardiology, Amiens University Hospital, 80054 Amiens, France; UR UPJV 7517, Jules-Verne University of Picardie, 80054 Amiens, France
| | - Christophe Tribouilloy
- Department of Cardiology, Amiens University Hospital, 80054 Amiens, France; UR UPJV 7517, Jules-Verne University of Picardie, 80054 Amiens, France
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14
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Yu Chen H, Dina C, Small AM, Shaffer CM, Levinson RT, Helgadóttir A, Capoulade R, Munter HM, Martinsson A, Cairns BJ, Trudsø LC, Hoekstra M, Burr HA, Marsh TW, Damrauer SM, Dufresne L, Le Scouarnec S, Messika-Zeitoun D, Ranatunga DK, Whitmer RA, Bonnefond A, Sveinbjornsson G, Daníelsen R, Arnar DO, Thorgeirsson G, Thorsteinsdottir U, Gudbjartsson DF, Hólm H, Ghouse J, Olesen MS, Christensen AH, Mikkelsen S, Jacobsen RL, Dowsett J, Pedersen OBV, Erikstrup C, Ostrowski SR, O’Donnell CJ, Budoff MJ, Gudnason V, Post WS, Rotter JI, Lathrop M, Bundgaard H, Johansson B, Ljungberg J, Näslund U, Le Tourneau T, Smith JG, Wells QS, Söderberg S, Stefánsson K, Schott JJ, Rader DJ, Clarke R, Engert JC, Thanassoulis G. Dyslipidemia, inflammation, calcification, and adiposity in aortic stenosis: a genome-wide study. Eur Heart J 2023; 44:1927-1939. [PMID: 37038246 PMCID: PMC10232274 DOI: 10.1093/eurheartj/ehad142] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 01/20/2023] [Accepted: 02/21/2023] [Indexed: 04/12/2023] Open
Abstract
AIMS Although highly heritable, the genetic etiology of calcific aortic stenosis (AS) remains incompletely understood. The aim of this study was to discover novel genetic contributors to AS and to integrate functional, expression, and cross-phenotype data to identify mechanisms of AS. METHODS AND RESULTS A genome-wide meta-analysis of 11.6 million variants in 10 cohorts involving 653 867 European ancestry participants (13 765 cases) was performed. Seventeen loci were associated with AS at P ≤ 5 × 10-8, of which 15 replicated in an independent cohort of 90 828 participants (7111 cases), including CELSR2-SORT1, NLRP6, and SMC2. A genetic risk score comprised of the index variants was associated with AS [odds ratio (OR) per standard deviation, 1.31; 95% confidence interval (CI), 1.26-1.35; P = 2.7 × 10-51] and aortic valve calcium (OR per standard deviation, 1.22; 95% CI, 1.08-1.37; P = 1.4 × 10-3), after adjustment for known risk factors. A phenome-wide association study indicated multiple associations with coronary artery disease, apolipoprotein B, and triglycerides. Mendelian randomization supported a causal role for apolipoprotein B-containing lipoprotein particles in AS (OR per g/L of apolipoprotein B, 3.85; 95% CI, 2.90-5.12; P = 2.1 × 10-20) and replicated previous findings of causality for lipoprotein(a) (OR per natural logarithm, 1.20; 95% CI, 1.17-1.23; P = 4.8 × 10-73) and body mass index (OR per kg/m2, 1.07; 95% CI, 1.05-1.9; P = 1.9 × 10-12). Colocalization analyses using the GTEx database identified a role for differential expression of the genes LPA, SORT1, ACTR2, NOTCH4, IL6R, and FADS. CONCLUSION Dyslipidemia, inflammation, calcification, and adiposity play important roles in the etiology of AS, implicating novel treatments and prevention strategies.
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Affiliation(s)
- Hao Yu Chen
- Division of Experimental Medicine, McGill University, 1001 Decarie Blvd., Room EM1.2218, Montreal, Quebec H4A 3J1, Canada
- Preventive and Genomic Cardiology, McGill University Health Centre and Research Institute, 1001 Decarie Blvd., Room D05.5120, Montreal, Quebec H4A 3J1, Canada
| | - Christian Dina
- Nantes Université, CHU Nantes, CNRS, INSERM, l’institut du thorax, 8 Quai Moncousu, Nantes F-44000, France
| | - Aeron M Small
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Christian M Shaffer
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, USA
| | - Rebecca T Levinson
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, USA
| | | | - Romain Capoulade
- Nantes Université, CHU Nantes, CNRS, INSERM, l’institut du thorax, 8 Quai Moncousu, Nantes F-44000, France
| | | | - Andreas Martinsson
- Department of Cardiology, Clinical Sciences, Lund University, Sweden and Skåne University Hospital, Lund, Sweden
- The Wallenberg Laboratory/Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University and the Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Benjamin J Cairns
- MRC Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Linea C Trudsø
- Laboratory for Molecular Cardiology, Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Mary Hoekstra
- Division of Experimental Medicine, McGill University, 1001 Decarie Blvd., Room EM1.2218, Montreal, Quebec H4A 3J1, Canada
- Preventive and Genomic Cardiology, McGill University Health Centre and Research Institute, 1001 Decarie Blvd., Room D05.5120, Montreal, Quebec H4A 3J1, Canada
| | - Hannah A Burr
- Division of Experimental Medicine, McGill University, 1001 Decarie Blvd., Room EM1.2218, Montreal, Quebec H4A 3J1, Canada
- Preventive and Genomic Cardiology, McGill University Health Centre and Research Institute, 1001 Decarie Blvd., Room D05.5120, Montreal, Quebec H4A 3J1, Canada
| | - Thomas W Marsh
- Preventive and Genomic Cardiology, McGill University Health Centre and Research Institute, 1001 Decarie Blvd., Room D05.5120, Montreal, Quebec H4A 3J1, Canada
- Department of Human Genetics, McGill University, Montreal, Canada
| | - Scott M Damrauer
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Line Dufresne
- Preventive and Genomic Cardiology, McGill University Health Centre and Research Institute, 1001 Decarie Blvd., Room D05.5120, Montreal, Quebec H4A 3J1, Canada
| | - Solena Le Scouarnec
- Nantes Université, CHU Nantes, CNRS, INSERM, l’institut du thorax, 8 Quai Moncousu, Nantes F-44000, France
| | - David Messika-Zeitoun
- Department of Cardiology, Assistance Publique - Hôpitaux de Paris, Bichat Hospital, Paris, France
- Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Dilrini K Ranatunga
- Division of Research, Kaiser Permanente of Northern California, Oakland, USA
| | - Rachel A Whitmer
- Department of Public Health Sciences, University of California Davis, Davis, USA
| | - Amélie Bonnefond
- University Lille, Inserm, CNRS, CHU Lille, Institut Pasteur de Lille, UMR1283-8199 EGID, Lille, France
- Department of Metabolism, Imperial College London, London, UK
| | | | - Ragnar Daníelsen
- Internal Medicine and Emergency Services, Landspitali—The National University Hospital of Iceland, Reykjavik, Iceland
| | - David O Arnar
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- Internal Medicine and Emergency Services, Landspitali—The National University Hospital of Iceland, Reykjavik, Iceland
- School of Health Sciences, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Gudmundur Thorgeirsson
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- School of Health Sciences, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Unnur Thorsteinsdottir
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- School of Health Sciences, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Daníel F Gudbjartsson
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Hilma Hólm
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
| | - Jonas Ghouse
- Laboratory for Molecular Cardiology, Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Morten Salling Olesen
- Laboratory for Molecular Cardiology, Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Alex H Christensen
- Laboratory for Molecular Cardiology, Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark
| | - Susan Mikkelsen
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - Rikke Louise Jacobsen
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Joseph Dowsett
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Sisse R Ostrowski
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | - Christopher J O’Donnell
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Boston, USA
| | - Matthew J Budoff
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, USA
| | | | - Wendy S Post
- Division of Cardiology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, USA
| | - Mark Lathrop
- McGill University and Genome Quebec Innovation Centre, Montreal, Canada
- Department of Human Genetics, McGill University, Montreal, Canada
| | - Henning Bundgaard
- Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Bengt Johansson
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Johan Ljungberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Ulf Näslund
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Thierry Le Tourneau
- Nantes Université, CHU Nantes, CNRS, INSERM, l’institut du thorax, 8 Quai Moncousu, Nantes F-44000, France
| | - J Gustav Smith
- Department of Cardiology, Clinical Sciences, Lund University, Sweden and Skåne University Hospital, Lund, Sweden
- Wallenberg Center for Molecular Medicine and Lund University Diabetes Center, Lund, Sweden
- The Wallenberg Laboratory/Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University and the Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Quinn S Wells
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, USA
| | - Stefan Söderberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Kári Stefánsson
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- School of Health Sciences, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Jean-Jacques Schott
- Nantes Université, CHU Nantes, CNRS, INSERM, l’institut du thorax, 8 Quai Moncousu, Nantes F-44000, France
| | - Daniel J Rader
- Departments of Genetics and Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Robert Clarke
- MRC Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - James C Engert
- Division of Experimental Medicine, McGill University, 1001 Decarie Blvd., Room EM1.2218, Montreal, Quebec H4A 3J1, Canada
- Preventive and Genomic Cardiology, McGill University Health Centre and Research Institute, 1001 Decarie Blvd., Room D05.5120, Montreal, Quebec H4A 3J1, Canada
- Department of Human Genetics, McGill University, Montreal, Canada
| | - George Thanassoulis
- Division of Experimental Medicine, McGill University, 1001 Decarie Blvd., Room EM1.2218, Montreal, Quebec H4A 3J1, Canada
- Preventive and Genomic Cardiology, McGill University Health Centre and Research Institute, 1001 Decarie Blvd., Room D05.5120, Montreal, Quebec H4A 3J1, Canada
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15
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Ackah RL, Yasuhara J, Garg V. Genetics of aortic valve disease. Curr Opin Cardiol 2023; 38:169-178. [PMID: 36789772 PMCID: PMC10079625 DOI: 10.1097/hco.0000000000001028] [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] [Indexed: 02/16/2023]
Abstract
PURPOSE OF REVIEW Aortic valve disease is a leading global cause of morbidity and mortality, posing an increasing burden on society. Advances in next-generation technologies and disease models over the last decade have further delineated the genetic and molecular factors that might be exploited in development of therapeutics for affected patients. This review describes several advances in the molecular and genetic understanding of AVD, focusing on bicuspid aortic valve (BAV) and calcific aortic valve disease (CAVD). RECENT FINDINGS Genomic studies have identified a myriad of genes implicated in the development of BAV, including NOTCH1 , SMAD6 and ADAMTS19 , along with members of the GATA and ROBO gene families. Similarly, several genes associated with the initiation and progression of CAVD, including NOTCH1 , LPA , PALMD , IL6 and FADS1/2 , serve as the launching point for emerging clinical trials. SUMMARY These new insights into the genetic contributors of AVD have offered new avenues for translational disease investigation, bridging molecular discoveries to emergent pharmacotherapeutic options. Future studies aimed at uncovering new genetic associations and further defining implicated molecular pathways are fuelling the new wave of drug discovery.
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Affiliation(s)
- Ruth L. Ackah
- Center for Cardiovascular Research, Abigail Wexner Research Institute, Nationwide Children’s Hospital, Columbus, Ohio, USA
- The Heart Center, Nationwide Children’s Hospital, Columbus, Ohio, USA
- Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH
| | - Jun Yasuhara
- Center for Cardiovascular Research, Abigail Wexner Research Institute, Nationwide Children’s Hospital, Columbus, Ohio, USA
- The Heart Center, Nationwide Children’s Hospital, Columbus, Ohio, USA
| | - Vidu Garg
- Center for Cardiovascular Research, Abigail Wexner Research Institute, Nationwide Children’s Hospital, Columbus, Ohio, USA
- The Heart Center, Nationwide Children’s Hospital, Columbus, Ohio, USA
- Department of Pediatrics, The Ohio State University, Columbus, Ohio, USA
- Department of Molecular Genetics, The Ohio State University, Columbus, Ohio, USA
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16
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Park JK, Bafna S, Forrest IS, Duffy Á, Marquez-Luna C, Petrazzini BO, Vy HM, Jordan DM, Verbanck M, Narula J, Rosenson RS, Rocheleau G, Do R. Phenome-wide Mendelian randomization study of plasma triglyceride levels and 2600 disease traits. eLife 2023; 12:e80560. [PMID: 36988189 PMCID: PMC10079290 DOI: 10.7554/elife.80560] [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: 05/25/2022] [Accepted: 03/28/2023] [Indexed: 03/30/2023] Open
Abstract
Background Causality between plasma triglyceride (TG) levels and atherosclerotic cardiovascular disease (ASCVD) risk remains controversial despite more than four decades of study and two recent landmark trials, STRENGTH, and REDUCE-IT. Further unclear is the association between TG levels and non-atherosclerotic diseases across organ systems. Methods Here, we conducted a phenome-wide, two-sample Mendelian randomization (MR) analysis using inverse-variance weighted (IVW) regression to systematically infer the causal effects of plasma TG levels on 2600 disease traits in the European ancestry population of UK Biobank. For replication, we externally tested 221 nominally significant associations (p<0.05) in an independent cohort from FinnGen. To account for potential horizontal pleiotropy and the influence of invalid instrumental variables, we performed sensitivity analyses using MR-Egger regression, weighted median estimator, and MR-PRESSO. Finally, we used multivariable MR (MVMR) controlling for correlated lipid fractions to distinguish the independent effect of plasma TG levels. Results Our results identified seven disease traits reaching Bonferroni-corrected significance in both the discovery (p<1.92 × 10-5) and replication analyses (p<2.26 × 10-4), suggesting a causal relationship between plasma TG levels and ASCVDs, including coronary artery disease (OR 1.33, 95% CI 1.24-1.43, p=2.47 × 10-13). We also identified 12 disease traits that were Bonferroni-significant in the discovery or replication analysis and at least nominally significant in the other analysis (p<0.05), identifying plasma TG levels as a novel potential risk factor for nine non-ASCVD diseases, including uterine leiomyoma (OR 1.19, 95% CI 1.10-1.29, p=1.17 × 10-5). Conclusions Taking a phenome-wide, two-sample MR approach, we identified causal associations between plasma TG levels and 19 disease traits across organ systems. Our findings suggest unrealized drug repurposing opportunities or adverse effects related to approved and emerging TG-lowering agents, as well as mechanistic insights for future studies. Funding RD is supported by the National Institute of General Medical Sciences of the National Institutes of Health (NIH) (R35-GM124836) and the National Heart, Lung, and Blood Institute of the NIH (R01-HL139865 and R01-HL155915).
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Affiliation(s)
- Joshua K Park
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Medical Scientist Training Program, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Shantanu Bafna
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Iain S Forrest
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Medical Scientist Training Program, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Áine Duffy
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Carla Marquez-Luna
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Ben O Petrazzini
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Ha My Vy
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Daniel M Jordan
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | | | - Jagat Narula
- Department of Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Cardiovascular Imaging Program, Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai Heart, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Robert S Rosenson
- Department of Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Metabolism and Lipids Unit, Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai Heart, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Ghislain Rocheleau
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Ron Do
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
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17
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Small AM, Peloso G, Linefsky J, Aragam J, Galloway A, Tanukonda V, Wang LC, Yu Z, Selvaraj MS, Farber-Eger EH, Baker MT, Setia-Verma S, Lee SSK, Preuss M, Ritchie M, Damrauer SM, Rader DJ, Wells QS, Loos RJF, Lubitz S, Thanassoulis G, Cho K, Wilson PWF, Natarajan P, O’Donnell CJ. Multiancestry Genome-Wide Association Study of Aortic Stenosis Identifies Multiple Novel Loci in the Million Veteran Program. Circulation 2023; 147:942-955. [PMID: 36802703 PMCID: PMC10806851 DOI: 10.1161/circulationaha.122.061451] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 12/15/2022] [Indexed: 02/22/2023]
Abstract
BACKGROUND Calcific aortic stenosis (CAS) is the most common valvular heart disease in older adults and has no effective preventive therapies. Genome-wide association studies (GWAS) can identify genes influencing disease and may help prioritize therapeutic targets for CAS. METHODS We performed a GWAS and gene association study of 14 451 patients with CAS and 398 544 controls in the Million Veteran Program. Replication was performed in the Million Veteran Program, Penn Medicine Biobank, Mass General Brigham Biobank, BioVU, and BioMe, totaling 12 889 cases and 348 094 controls. Causal genes were prioritized from genome-wide significant variants using polygenic priority score gene localization, expression quantitative trait locus colocalization, and nearest gene methods. CAS genetic architecture was compared with that of atherosclerotic cardiovascular disease. Causal inference for cardiometabolic biomarkers in CAS was performed using Mendelian randomization and genome-wide significant loci were characterized further through phenome-wide association study. RESULTS We identified 23 genome-wide significant lead variants in our GWAS representing 17 unique genomic regions. Of the 23 lead variants, 14 were significant in replication, representing 11 unique genomic regions. Five replicated genomic regions were previously known risk loci for CAS (PALMD, TEX41, IL6, LPA, FADS) and 6 were novel (CEP85L, FTO, SLMAP, CELSR2, MECOM, CDAN1). Two novel lead variants were associated in non-White individuals (P<0.05): rs12740374 (CELSR2) in Black and Hispanic individuals and rs1522387 (SLMAP) in Black individuals. Of the 14 replicated lead variants, only 2 (rs10455872 [LPA], rs12740374 [CELSR2]) were also significant in atherosclerotic cardiovascular disease GWAS. In Mendelian randomization, lipoprotein(a) and low-density lipoprotein cholesterol were both associated with CAS, but the association between low-density lipoprotein cholesterol and CAS was attenuated when adjusting for lipoprotein(a). Phenome-wide association study highlighted varying degrees of pleiotropy, including between CAS and obesity at the FTO locus. However, the FTO locus remained associated with CAS after adjusting for body mass index and maintained a significant independent effect on CAS in mediation analysis. CONCLUSIONS We performed a multiancestry GWAS in CAS and identified 6 novel genomic regions in the disease. Secondary analyses highlighted the roles of lipid metabolism, inflammation, cellular senescence, and adiposity in the pathobiology of CAS and clarified the shared and differential genetic architectures of CAS with atherosclerotic cardiovascular diseases.
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Affiliation(s)
- Aeron M Small
- Department of Cardiology, Boston Veterans Affairs Healthcare System, West Roxbury, MA, USA
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, MA, USA
| | - Gina Peloso
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Veterans Affairs, Boston Healthcare System, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
| | - Jason Linefsky
- Atlanta Veterans Affairs Medical Center, Decatur, Georgia
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Jayashri Aragam
- Department of Cardiology, Boston Veterans Affairs Healthcare System, West Roxbury, MA, USA
| | - Ashley Galloway
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Veterans Affairs, Boston Healthcare System, Boston, Massachusetts
| | | | - Lu-Chen Wang
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA, 02114
- Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA, 02142
| | - Zhi Yu
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA, 02114
- Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA, 02142
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Margaret Sunitha Selvaraj
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA, 02114
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Eric H Farber-Eger
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, United States, 37232
| | - Michael T Baker
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232
| | - Shefali Setia-Verma
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Simon SK Lee
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA, 10029
| | - Michael Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA, 10029
| | - Marylyn Ritchie
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Scott M Damrauer
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA, 19104
- Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA, 19104
| | - Daniel J Rader
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Quinn S Wells
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA, 10029
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA, 10029
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Steven Lubitz
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA, 02114
| | - George Thanassoulis
- Department of Medicine, Division of Experimental Medicine, McGill University Health Center, 1001 Decarie Boulevard, Montreal, QC H4A 3J1, Canada
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Veterans Affairs, Boston Healthcare System, Boston, Massachusetts
| | - Peter WF Wilson
- Atlanta Veterans Affairs Medical Center, Decatur, Georgia
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | | | - Pradeep Natarajan
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA, 02114
- Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA, 02142
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston
- Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston
| | - Christopher J O’Donnell
- Department of Cardiology, Boston Veterans Affairs Healthcare System, West Roxbury, MA, USA
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, MA, USA
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18
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1305] [Impact Index Per Article: 1305.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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19
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Teramoto M, Yamagishi K, Cui R, Shirai K, Tamakoshi A, Iso H. Body Mass Index and Mortality from Nonrheumatic Aortic Valve Disease among Japanese Men and Women. J Atheroscler Thromb 2023; 30:150-159. [PMID: 35418541 PMCID: PMC9925207 DOI: 10.5551/jat.63452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
AIM We aimed to examine the impact of overweight and obesity on mortality from nonrheumatic aortic valve disease. METHODS In the Japan Collaborative Cohort Study, we analyzed data of 98,378 participants aged 40-79 years, with no history of coronary heart disease, stroke, or cancer at baseline (1988-1990) and who completed a lifestyle questionnaire including height and body weight; they were followed for mortality until the end of 2009. The Cox proportional hazards model was used to calculate the multivariable hazard ratios (HRs) with 95% confidence intervals (CIs) of nonrheumatic aortic valve disease mortality according to body mass index (BMI) after adjusting for potential confounding factors. RESULTS During the median 19.2 years follow-up, 60 deaths from nonrheumatic aortic valve disease were reported. BMI was positively associated with the risk of mortality from nonrheumatic aortic valve disease; the multivariable HRs (95% CIs) were 0.90 (0.40-2.06) for persons with BMI <21 kg/m2, 1.71 (0.81-3.58) for BMI 23-24.9 kg/m2, 1.65 (0.69-3.94) for BMI 25-26.9 kg/m2, and 2.83 (1.20-6.65) for BMI ≥ 27 kg/m2 (p for trend=0.006), compared with persons with BMI 21-22.9 kg/m2. Similar associations were observed between men and women (p for interaction=0.56). Excluding those who died during the first ten years of follow-up or a competing risk analysis with other causes of death as competing risk events did not change the association materially. CONCLUSIONS Overweight and obesity may be independent risk factors for nonrheumatic aortic valve disease mortality in Asian populations.
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Affiliation(s)
- Masayuki Teramoto
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Tsukuba, Japan
| | - Renzhe Cui
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Kokoro Shirai
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Akiko Tamakoshi
- Department of Preventive Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Hiroyasu Iso
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan,Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Tsukuba, Japan
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20
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Uzunget SB, Sahin KE. Atherogenic index of plasma is an independent predictor of mitral annular calcification. BMC Cardiovasc Disord 2022; 22:511. [PMID: 36451082 PMCID: PMC9710030 DOI: 10.1186/s12872-022-02891-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 10/10/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND In the latest reports, atherogenic indices have been related to acute coronary syndromes, stable coronary artery disease, heart failure and future cardiac events. Conventional atherosclerosis risk factors have been associated with mitral annular calcification (MAC), but data on the relationship between atherogenic indices and MAC are lacking. We aimed to investigate a possible relationship between MAC and atherogenic indices. METHODS In total 741 patients (n = 427 with MAC and n = 314 without MAC) who were examined in our cardiology clinic from February 2016 to October 2021 were recruited in the study. Mitral annular calcification was diagnosed by transthoracic 2-dimensional echocardiography. The atherogenic coefficient (AC), Castelli risk index 1 (CRI-1), Castelli risk index 2 (CRI-2) and atherogenic index of plasma (AIP) were calculated by utilizing standard lipid test values. RESULTS There was no statistically significant difference in sex, age, diabetes and hypertension status between the patient and the control groups. Serum triglyceride level, AIP, Hs-CRP, smoking and BMI were independently significantly associated with MAC in multiple regression analysis (p < 0.001). CONCLUSION Higher AIP was related to the existence of MAC and also predict the presence of MAC independently. Studies evaluating the modification of these indices are needed.
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Affiliation(s)
| | - Kader Eliz Sahin
- grid.411126.10000 0004 0369 5557Department of Cardiology, Adiyaman University Education and Research Hospital, Adiyaman, Turkey
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21
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Zheng X, Han L, Shen S. Hypertension, remnant cholesterol and cardiovascular disease: evidence from the China health and retirement longitudinal study. J Hypertens 2022; 40:2292-2298. [PMID: 35950988 DOI: 10.1097/hjh.0000000000003259] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Previous studies had reported the significant association between hypertension, remnant cholesterol (RC) and risk of cardiovascular disease (CVD). The aim of present study was to evaluate the combined effect of hypertension and RC on the risk of CVD. METHODS A total of 9456 participants from the China Health and Retirement Longitudinal Study were included. Multivariate Cox proportional hazards regression model was used to explore the associations between hypertension, RC and new-onset CVD, stroke and cardiac events. RESULTS During the follow-up period, 1702 CVD events (including 563 stroke and 1282 cardiac events) were recorded. Compared to those without hypertension and low RC level, the adjusted hazard ratios (95% confidence intervals) were 1.09 (0.95-1.24) for individuals with high RC alone, 1.27 (1.10-1.46) for individuals with hypertension alone and 1.32 (1.15-1.51) for individuals with comorbid hypertension and high RC. Individuals with co-existence of hypertension and high RC also had the highest risks of stroke and cardiac events. CONCLUSION Our study indicated that there was a combined effect of hypertension and RC on the risk of CVD, stroke and cardiac events. Larger-sample prospective cohort studies are still required to test the potential application of combination of hypertension and RC as a screening method to identify individuals at risk of CVD.
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Affiliation(s)
- Xiaowei Zheng
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine Jiangnan University
| | - Longyang Han
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine Jiangnan University
| | - Suwen Shen
- Wuxi Municipal Center for Disease Control and Prevention, Wuxi, Jiangsu, China
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22
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O'Brien KD. Lipoproteins and Calcific Aortic Valve Disease: Hardening Evidence? Arterioscler Thromb Vasc Biol 2022; 42:1321-1323. [PMID: 36134565 PMCID: PMC9613592 DOI: 10.1161/atvbaha.122.318310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Kevin D O'Brien
- Division of Cardiology, Department of Medicine; UW Medicine Heart Institute and UW Medicine Diabetes Institute, University of Washington, Seattle
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23
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Liu Z, Suo C, Jiang Y, Zhao R, Zhang T, Jin L, Chen X. Phenome-Wide Association Analysis Reveals Novel Links Between Genetically Determined Levels of Liver Enzymes and Disease Phenotypes. PHENOMICS (CHAM, SWITZERLAND) 2022; 2:295-311. [PMID: 36939802 PMCID: PMC9590558 DOI: 10.1007/s43657-021-00033-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 10/10/2021] [Accepted: 10/15/2021] [Indexed: 11/26/2022]
Abstract
Serum liver enzymes (alanine aminotransferase [ALT], aspartate aminotransferase [AST], λ-glutamyl transferase [GGT] and alkaline phosphatase [ALP]) are the leading biomarkers to measure liver injury, and they have been reported to be associated with several intrahepatic and extrahepatic diseases in observational studies. We conducted a phenome-wide association study (PheWAS) to identify disease phenotypes associated with genetically predicted liver enzymes based on the UK Biobank cohort. Univariable and multivariable Mendelian randomization (MR) analyses were performed to obtain the causal estimates of associations that detected in PheWAS. Our PheWAS identified 40 out of 1,376 pairs (16, 17, three and four pairs for ALT, AST, GGT and ALP, respectively) of genotype-phenotype associations reaching statistical significance at the 5% false discovery rate threshold. A total of 34 links were further validated in Mendelian randomization analyses. Most of the disease phenotypes that associated with genetically determined ALT level were liver-related, including primary liver cancer and alcoholic liver damage. The disease outcomes associated with genetically determined AST involved a wide range of phenotypic categories including endocrine/metabolic diseases, digestive diseases, and neurological disorder. Genetically predicted GGT level was associated with the risk of other chronic non-alcoholic liver disease, abnormal results of function study of liver, and cholelithiasis. Genetically determined ALP level was associated with pulmonary heart disease, phlebitis and thrombophlebitis of lower extremities, and hypercholesterolemia. Our findings reveal novel links between liver enzymes and disease phenotypes providing insights into the full understanding of the biological roles of liver enzymes. Supplementary Information The online version contains supplementary material available at 10.1007/s43657-021-00033-y.
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Affiliation(s)
- Zhenqiu Liu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, 200438 China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, 225316 China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, 225316 China
- Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, 200032 China
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032 China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, 200438 China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, 225316 China
| | - Renjia Zhao
- Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, 200032 China
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032 China
| | - Tiejun Zhang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, 225316 China
- Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, 200032 China
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032 China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, 200438 China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, 225316 China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, 200438 China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, 225316 China
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24
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Bortnick AE, Buzkova P, Otvos J, Jensen M, Tsai MY, Budoff M, Mackey R, El Khoudary SR, Favari E, Kim RS, Rodriguez CJ, Thanassoulis G, Kizer JR. High-Density Lipoprotein and Long-Term Incidence and Progression of Aortic Valve Calcification: The Multi-Ethnic Study of Atherosclerosis. Arterioscler Thromb Vasc Biol 2022; 42:1272-1282. [PMID: 35979837 PMCID: PMC9492641 DOI: 10.1161/atvbaha.122.318004] [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] [Indexed: 12/14/2022]
Abstract
BACKGROUND Aortic valve calcification (AVC) shares pathological features with atherosclerosis. Lipoprotein components have been detected in aortic valve tissue, including HDL (high-density lipoprotein). HDL measures have inverse associations with cardiovascular disease, but relationships with long-term AVC progression are unclear. We investigated associations of HDL cholesterol, HDL-particle number and size, apoC3-defined HDL subtypes, and, secondarily, CETP (cholesteryl ester transfer protein) mass and activity, with long-term incidence and progression of AVC. METHODS We used linear mixed-effects models to evaluate the associations of baseline HDL indices with AVC. AVC was quantified by Agatston scoring of up to 3 serial computed tomography scans over a median of 8.9 (maximum 11.2) years of follow-up in the Multi-Ethnic Study of Atherosclerosis (n=6784). RESULTS After adjustment, higher concentrations of HDL-C (high-density lipoprotein cholesterol), HDL-P (HDL particles), large HDL-P, and apoC3-lacking HDL-C were significantly associated with lower incidence/progression of AVC. Neither small or medium HDL-P nor apoC3-containing HDL-C was significantly associated with AVC incidence/progression. When included together, a significant association was observed only for HDL-C, but not for HDL-P. Secondary analyses showed an inverse relationship between CETP mass, but not activity, and AVC incidence/progression. In exploratory assessments, inverse associations for HDL-C, HDL-P, large HDL-P, and apoC3-lacking HDL with AVC incidence/progression were more pronounced for older, male, and White participants. ApoC3-containing HDL-C only showed a positive association with AVC in these subgroups. CONCLUSIONS In a multiethnic population, HDL-C, HDL-P, large HDL-P, and apoC3-lacking HDL-C were inversely associated with long-term incidence and progression of AVC. Further investigation of HDL composition and mechanisms could be useful in understanding pathways that slow AVC.
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Affiliation(s)
- Anna E. Bortnick
- Department of Medicine, Division of Cardiology, Albert Einstein College of Medicine, Bronx NY
- Division of Geriatrics, Albert Einstein College of Medicine, Bronx NY
| | - Petra Buzkova
- Department of Biostatistics, University of Washington, Seattle WA
| | - James Otvos
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC
| | - Majken Jensen
- Department of Nutrition, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Harvard T. H. Chan School of Public Health; and the Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Matthew Budoff
- Division of Cardiology, The Lundquist Institute for Biomedical Innovation at Harbor UCLA Medical Center, Torrance, CA
| | - Rachel Mackey
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
- Premier Applied Sciences, Inc., Charlotte, NC
| | - Samar R. El Khoudary
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Elda Favari
- Department of Food and Drug, University of Parma, Parma, Italy
| | - Ryung S. Kim
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx NY
| | - Carlos J. Rodriguez
- Department of Medicine, Division of Cardiology, Albert Einstein College of Medicine, Bronx NY
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx NY
| | - George Thanassoulis
- Department of Medicine, Division of Cardiology, McGill University Health Center, Montreal Canada
| | - Jorge R. Kizer
- Cardiology Section, San Francisco VA Health Care System, San Francisco, CA
- Departments of Medicine, Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
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25
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O'Sullivan JW, Raghavan S, Marquez-Luna C, Luzum JA, Damrauer SM, Ashley EA, O'Donnell CJ, Willer CJ, Natarajan P. Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Association. Circulation 2022; 146:e93-e118. [PMID: 35862132 PMCID: PMC9847481 DOI: 10.1161/cir.0000000000001077] [Citation(s) in RCA: 86] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Cardiovascular disease is the leading contributor to years lost due to disability or premature death among adults. Current efforts focus on risk prediction and risk factor mitigation' which have been recognized for the past half-century. However, despite advances, risk prediction remains imprecise with persistently high rates of incident cardiovascular disease. Genetic characterization has been proposed as an approach to enable earlier and potentially tailored prevention. Rare mendelian pathogenic variants predisposing to cardiometabolic conditions have long been known to contribute to disease risk in some families. However, twin and familial aggregation studies imply that diverse cardiovascular conditions are heritable in the general population. Significant technological and methodological advances since the Human Genome Project are facilitating population-based comprehensive genetic profiling at decreasing costs. Genome-wide association studies from such endeavors continue to elucidate causal mechanisms for cardiovascular diseases. Systematic cataloging for cardiovascular risk alleles also enabled the development of polygenic risk scores. Genetic profiling is becoming widespread in large-scale research, including in health care-associated biobanks, randomized controlled trials, and direct-to-consumer profiling in tens of millions of people. Thus, individuals and their physicians are increasingly presented with polygenic risk scores for cardiovascular conditions in clinical encounters. In this scientific statement, we review the contemporary science, clinical considerations, and future challenges for polygenic risk scores for cardiovascular diseases. We selected 5 cardiometabolic diseases (coronary artery disease, hypercholesterolemia, type 2 diabetes, atrial fibrillation, and venous thromboembolic disease) and response to drug therapy and offer provisional guidance to health care professionals, researchers, policymakers, and patients.
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26
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Kronenberg F. Lipoprotein(a) and aortic valve stenosis: work in progress. Eur Heart J 2022; 43:3968-3970. [PMID: 35979826 DOI: 10.1093/eurheartj/ehac436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Florian Kronenberg
- Institute of Genetic Epidemiology; Medical University of Innsbruck, Schöpfstr. 41, A-6020, Innsbruck, Austria
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27
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Rawshani A, Sattar N, McGuire DK, Wallström O, Smith U, Borén J, Bergström G, Omerovic E, Rosengren A, Eliasson B, Bhatt DL, Rawshani A. Left-Sided Degenerative Valvular Heart Disease in Type 1 and Type 2 Diabetes. Circulation 2022; 146:398-411. [PMID: 35678729 DOI: 10.1161/circulationaha.121.058072] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND The role of diabetes in the development of valvular heart disease, and, in particular, the relation with risk factor control, has not been extensively studied. METHODS We included 715 143 patients with diabetes registered in the Swedish National Diabetes Register and compared them with 2 732 333 matched controls randomly selected from the general population. First, trends were analyzed with incidence rates and Cox regression, which was also used to assess diabetes as a risk factor compared with controls, and, second, separately in patients with diabetes according to the presence of 5 risk factors. RESULTS The incidence of valvular outcomes is increasing among patients with diabetes and the general population. In type 2 diabetes, systolic blood pressure, body mass index, and renal function were associated with valvular lesions. Hazard ratios for patients with type 2 diabetes who had nearly all risk factors within target ranges, compared with controls, were as follows: aortic stenosis 1.34 (95% CI, 1.31-1.38), aortic regurgitation 0.67 (95% CI, 0.64-0.70), mitral stenosis 1.95 (95% CI, 1.76-2.20), and mitral regurgitation 0.82 (95% CI, 0.79-0.85). Hazard ratios for patients with type 1 diabetes and nearly optimal risk factor control were as follows: aortic stenosis 2.01 (95% CI, 1.58-2.56), aortic regurgitation 0.63 (95% CI, 0.43-0.94), and mitral stenosis 3.47 (95% CI, 1.37-8.84). Excess risk in patients with type 2 diabetes for stenotic lesions showed hazard ratios for aortic stenosis 1.62 (95% CI, 1.59-1.65), mitral stenosis 2.28 (95% CI, 2.08-2.50), and excess risk in patients with type 1 diabetes showed hazard ratios of 2.59 (95% CI, 2.21-3.05) and 11.43 (95% CI, 6.18-21.15), respectively. Risk for aortic and mitral regurgitation was lower in type 2 diabetes: 0.81 (95% CI, 0.78-0.84) and 0.95 (95% CI, 0.92-0.98), respectively. CONCLUSIONS Individuals with type 1 and 2 diabetes have greater risk for stenotic lesions, whereas risk for valvular regurgitation was lower in patients with type 2 diabetes. Patients with well-controlled cardiovascular risk factors continued to display higher risk for valvular stenosis, without a clear stepwise decrease in risk between various degrees of risk factor control.
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Affiliation(s)
- Araz Rawshani
- Department of Molecular and Clinical Medicine (Araz Rawshani, O.W., U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden.,Wallenberg Laboratory for Cardiovascular and Metabolic Research (Araz Rawshani, U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, British Heart Foundation Glasgow Cardiovascular Research Centre, Glasgow, United Kingdom (N.S.)
| | - Darren K McGuire
- Department of Internal Medicine, University of Texas Southwestern Medical Center, and Parkland Health and Hospital System, Dallas (D.K.M.)
| | - Oskar Wallström
- Department of Molecular and Clinical Medicine (Araz Rawshani, O.W., U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden
| | - Ulf Smith
- Department of Molecular and Clinical Medicine (Araz Rawshani, O.W., U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden.,Wallenberg Laboratory for Cardiovascular and Metabolic Research (Araz Rawshani, U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden.,Institute of Medicine, The Lundberg Laboratory for Diabetes Research, Department of Molecular and Clinical Medicine (U.S., B.E., Aidin Rawshani), University of Gothenburg, Sweden
| | - Jan Borén
- Department of Molecular and Clinical Medicine (Araz Rawshani, O.W., U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden.,Wallenberg Laboratory for Cardiovascular and Metabolic Research (Araz Rawshani, U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden
| | - Göran Bergström
- Wallenberg Laboratory for Cardiovascular and Metabolic Research (Araz Rawshani, U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden.,Department of Clinical Physiology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden (G.B., Aidin Rawshani)
| | - Elmir Omerovic
- Department of Molecular and Clinical Medicine (Araz Rawshani, O.W., U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden.,Wallenberg Laboratory for Cardiovascular and Metabolic Research (Araz Rawshani, U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden
| | - Annika Rosengren
- Department of Molecular and Clinical Medicine (Araz Rawshani, O.W., U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden.,Wallenberg Laboratory for Cardiovascular and Metabolic Research (Araz Rawshani, U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden
| | - Björn Eliasson
- Institute of Medicine, The Lundberg Laboratory for Diabetes Research, Department of Molecular and Clinical Medicine (U.S., B.E., Aidin Rawshani), University of Gothenburg, Sweden
| | - Deepak L Bhatt
- Brigham and Women's Hospital Heart and Vascular Center, Harvard Medical School, Boston, MA (D.L.B.)
| | - Aidin Rawshani
- Department of Molecular and Clinical Medicine (Araz Rawshani, O.W., U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden.,Wallenberg Laboratory for Cardiovascular and Metabolic Research (Araz Rawshani, U.S., J.B., G.B., E.O., A. Rosengren, Aidin Rawshani), University of Gothenburg, Sweden.,Institute of Medicine, The Lundberg Laboratory for Diabetes Research, Department of Molecular and Clinical Medicine (U.S., B.E., Aidin Rawshani), University of Gothenburg, Sweden.,Department of Clinical Physiology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden (G.B., Aidin Rawshani)
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28
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El-Koofy NM, Fattouh AM, Ramadan A, Elmonem MA, Hamed DH. Early myocardial functional abnormalities in primary dyslipidemia: clinical and echocardiographic observations in young children from a highly consanguineous population. Clin Exp Pediatr 2022; 65:410-416. [PMID: 34886595 PMCID: PMC9348948 DOI: 10.3345/cep.2021.00598] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 11/18/2021] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Dyslipidemia is a major health problem among children and adolescents worldwide due to its significant association with cardiovascular disease. Primary dyslipidemias are commonly familial syndromes that can be completely asymptomatic. PURPOSE Apart from the risk of coronary artery disease (CAD), limited data are currently available on the direct effects of dyslipidemia on myocardial function in children. METHODS We recruited 25 children with primary dyslipidemia (14 with isolated hypercholesterolemia, 4 with isolated hypertriglyceridemia, and 7 with combined dyslipidemia). Relevant clinical manifestations and laboratory and radiological investigations were evaluated. Pulsed-wave Doppler and tissue Doppler imaging echocardiography were performed for all recruited patients and the results were compared with those of 15 age- and sex-matched healthy children. RESULTS The median age of the dyslipidemic children was 8 years (range, 1.5-16 years). A family history was documented in 13 cases (52%), while 18 (72%) had consanguineous parents. None of the dyslipidemic children had a personal history or clinical manifestations of CAD. In contrast, echocardiographic findings differed in several diastolic function parameters of both right and left ventricles in dyslipidemic children compared to controls. Based on normalized z scores, aortic valve narrowing was detected in 7 patients (28%), while narrowing of the aortic sinus (sinus of Valsalva) was detected in 15 patients (60%). CONCLUSION Different types of primary dyslipidemia produce functional myocardial abnormalities early in childhood. Biochemical and echocardiographic screening of high-risk children is advised to minimize the incidence of serious cardiovascular complications.
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Affiliation(s)
- Nehal M El-Koofy
- Department of Pediatrics, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Aya M Fattouh
- Department of Pediatrics, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Areef Ramadan
- Department of Pediatrics, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mohamed A Elmonem
- Department of Clinical and Chemical Pathology, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Dina H Hamed
- Department of Pediatrics, Faculty of Medicine, Cairo University, Cairo, Egypt
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29
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Mitok KA, Keller MP, Attie AD. Sorting through the extensive and confusing roles of sortilin in metabolic disease. J Lipid Res 2022; 63:100243. [PMID: 35724703 PMCID: PMC9356209 DOI: 10.1016/j.jlr.2022.100243] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 06/10/2022] [Accepted: 06/13/2022] [Indexed: 01/06/2023] Open
Abstract
Sortilin is a post-Golgi trafficking receptor homologous to the yeast vacuolar protein sorting receptor 10 (VPS10). The VPS10 motif on sortilin is a 10-bladed β-propeller structure capable of binding more than 50 proteins, covering a wide range of biological functions including lipid and lipoprotein metabolism, neuronal growth and death, inflammation, and lysosomal degradation. Sortilin has a complex cellular trafficking itinerary, where it functions as a receptor in the trans-Golgi network, endosomes, secretory vesicles, multivesicular bodies, and at the cell surface. In addition, sortilin is associated with hypercholesterolemia, Alzheimer's disease, prion diseases, Parkinson's disease, and inflammation syndromes. The 1p13.3 locus containing SORT1, the gene encoding sortilin, carries the strongest association with LDL-C of all loci in human genome-wide association studies. However, the mechanism by which sortilin influences LDL-C is unclear. Here, we review the role sortilin plays in cardiovascular and metabolic diseases and describe in detail the large and often contradictory literature on the role of sortilin in the regulation of LDL-C levels.
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Affiliation(s)
- Kelly A Mitok
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Mark P Keller
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Alan D Attie
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.
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30
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Carracedo M, Pawelzik SC, Artiach G, Pouwer MG, Plunde O, Saliba-Gustafsson P, Ehrenborg E, Eriksson P, Pieterman E, Stenke L, Princen HMG, Franco-Cereceda A, Bäck M. The tyrosine kinase inhibitor nilotinib targets discoidin domain receptor 2 in calcific aortic valve stenosis. Br J Pharmacol 2022; 179:4709-4721. [PMID: 35751904 PMCID: PMC9544120 DOI: 10.1111/bph.15911] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 03/16/2022] [Accepted: 04/14/2022] [Indexed: 11/27/2022] Open
Abstract
Background and Purpose Tyrosine kinase inhibitors (TKI) used to treat chronic myeloid leukaemia (CML) have been associated with cardiovascular side effects, including reports of calcific aortic valve stenosis. The aim of this study was to establish the effects of first and second generation TKIs in aortic valve stenosis and to determine the associated molecular mechanisms. Experimental Approach Hyperlipidemic APOE*3Leiden.CETP transgenic mice were treated with nilotinib, imatinib or vehicle. Human valvular interstitial cells (VICs) were isolated and studied in vitro. Gene expression analysis was perfromed in aortic valves from 64 patients undergoing aortic valve replacement surgery. Key Results Nilotinib increased murine aortic valve thickness. Nilotinib, but not imatinib, promoted calcification and osteogenic activation and decreased autophagy in human VICs. Differential tyrosine kinase expression was detected between healthy and calcified valve tissue. Transcriptomic target identification revealed that the discoidin domain receptor DDR2, which is preferentially inhibited by nilotinib, was predominantly expressed in human aortic valves but markedly downregulated in calcified valve tissue. Nilotinib and selective DDR2 targeting in VICs induced a similar osteogenic activation, which was blunted by increasing the DDR2 ligand, collagen. Conclusions and Implications These findings suggest that inhibition of DDR2 by nilotinib promoted aortic valve thickening and VIC calcification, with possible translational implications for cardiovascular surveillance and possible personalized medicine in CML patients.
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Affiliation(s)
| | - Sven-Christian Pawelzik
- Department of Medicine, Karolinska Institutet.,Theme Heart and Vessels, Division of Valvular and Coronary Disease, Karolinska University Hospital, Stockholm, Sweden
| | | | - Marianne G Pouwer
- Metabolic Health Research, Gaubius Laboratory, The Netherlands Organization of Applied Scientific Research (TNO), Leiden, the Netherlands
| | | | | | | | | | - Elsbet Pieterman
- Metabolic Health Research, Gaubius Laboratory, The Netherlands Organization of Applied Scientific Research (TNO), Leiden, the Netherlands
| | - Leif Stenke
- Department of Medicine, Karolinska Institutet.,Theme Cancer, Division of Hematology, Karolinska University Hospital
| | - Hans M G Princen
- Metabolic Health Research, Gaubius Laboratory, The Netherlands Organization of Applied Scientific Research (TNO), Leiden, the Netherlands
| | - Anders Franco-Cereceda
- Department of Molecular Medicine and Surgery, Karolinska Institutet.,Theme Heart and Vessels, Division of Valvular and Coronary Disease, Karolinska University Hospital, Stockholm, Sweden
| | - Magnus Bäck
- Department of Medicine, Karolinska Institutet.,Theme Heart and Vessels, Division of Valvular and Coronary Disease, Karolinska University Hospital, Stockholm, Sweden
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31
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Xu H, Liu Q, Cao K, Ye Y, Zhang B, Li Z, Hao J, Qi X, Zhao Q, Liu S, Gao R, Wu Y. Distribution, Characteristics, and Management of Older Patients With Valvular Heart Disease in China. JACC: ASIA 2022; 2:354-365. [PMID: 36338396 PMCID: PMC9627799 DOI: 10.1016/j.jacasi.2021.11.013] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 09/30/2021] [Accepted: 11/29/2021] [Indexed: 12/26/2022]
Abstract
Background The epidemiology and management of valvular heart disease (VHD) have changed with economic development and population aging in China in recent decades. Objectives This study sought to understand the distribution, etiology, and presentation and assess the current practice and outcomes of older patients with VHD in China. Methods The authors conducted the first nationwide survey of older patients with VHD between September and December 2016 from 69 hospitals in 28 provinces and municipalities throughout China. Hospitalized patients over 60 years of age with moderate-to-severe VHD, infective endocarditis, or previous valvular intervention were consecutively enrolled. Results Of 8,929 patients (median age of 69 years, 47.5% female), 8227 (92.1%) had native VHD. Mitral regurgitation was the most prevalent single VHD (26.9% of native VHD), followed by tricuspid regurgitation (16.5%), aortic regurgitation (10.6%), aortic stenosis (5.1%), and mitral stenosis (3.1%). Degenerative (37.2%), functional (21.8%), and rheumatic (15.0%) etiologies were the 3 most common causes. Among symptomatic patients with severe VHD, 37.3% underwent valvular intervention. The intervention rates decreased significantly with age across all types of VHD (Ptrend < 0.01). Valvular surgery covered 93.7% of interventions. The overall 1-year survival rate was 74.4% (95% CI: 63.4%-85.4%). Conclusions This study provides a unique national insight into the contemporary spectrum and management of older VHD patients in China. With the increase in the health care demand, more resources and efforts are required for early detection, effective intervention, and targeting innovation on advanced therapeutic techniques and devices to improve the outcomes.
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Affiliation(s)
- Haiyan Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qingrong Liu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kai Cao
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yunqing Ye
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bin Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhe Li
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Hao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiling Qi
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qinghao Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Sisi Liu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Runlin Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yongjian Wu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Address for correspondence: Dr Yongjian Wu, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, National Center for Cardiovascular Diseases of China, 167 Beilishi Road, Beijing 100037, People’s Republic of China.
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32
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Hafiane A, Favari E, Bortnick AE. Measures of high-density lipoprotein function in men and women with severe aortic stenosis. Lipids Health Dis 2022; 21:48. [PMID: 35643498 PMCID: PMC9148512 DOI: 10.1186/s12944-022-01653-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 04/26/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Calcification of the aortic valve is a common heart valve disorder, in some cases leading to clinically impactful severe aortic stenosis (AS). Sex-specific differences in aortic valve calcification (ACV) exist, with women having a lower burden of calcification than men as measured by computed tomography; however, the pathophysiological mechanism that leads to these differences remains unclear. METHODS Using cultured human Tamm-Horsfall protein 1 (THP-1) macrophages and human aortic valve interstitial cells, the effects of high-density lipoprotein (HDL) particles isolated from the plasma of men and women with severe AS were studied for cholesterol efflux capacity (CEC). RESULTS HDL-CEC was assessed in 46 patients with severe AS, n = 30 men, n = 16 women. ATP-Binding Cassette A1 (ABCA1)-mediated HDL-CEC was measured from human cultured THP-1 macrophages to plasma HDL samples. Women with severe AS had more ABCA1-mediated HDL-CEC, as compared to men (8.50 ± 3.90% cpm vs. 6.80 ± 1.50% cpm, P = 0.04). HDL pre-β1 and α-particles were higher in woman than in men by spectral density, (pre-β1 HDL, 20298.29 ± 1076.15 vs. 15,661.74 ± 789.00, P = 0.002, and α-HDL, 63006.35 ± 756.81 vs. 50,447.00 ± 546.52, P = 0.03). Lecithin-cholesterol acyltransferase conversion of free cholesterol into cholesteryl esters was higher in women than men (16.44 ± 9.11%/h vs. 12.00 ± 8.07%/h, P = 0.03). CONCLUSIONS Sex-specific changes in various parameters of HDL-CEC were found in patients with severe AS. Sex-based modifications in HDL functionality by HDL-CEC might account for the reduced burden of calcification in women vs. men with severe AS. Therefore, future studies should target sex-related pathways in AS to help to improve understanding and treatment of AS. Sex specifc differences in AVC and differences associated with HDL function in men and women with severe AS. When compared to men, women had higher preβ-HDL and α-HDL migrating particles, higher cholesterol efflux to HDL, and higher lecithin cholesterol acyl transferase (LCAT) activity, possibly indicating that improved reverse cholesterol transport may be protective against worsened calcification.
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Affiliation(s)
- Anouar Hafiane
- Department of Medicine, Faculty of Medicine, Research Institute of the McGill University Health Centre, 1001 Boulevard Decarie, Montreal, Québec, H3A 1A1, Canada.
| | - Elda Favari
- Department of Food and Drug, University of Parma, Parma, Italy
| | - Anna E Bortnick
- Department of Medicine, Division of Cardiology, Bronx, New York, USA
- Division of Geriatrics, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, USA
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33
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Greenberg HZE, Zhao G, Shah AM, Zhang M. Role of oxidative stress in calcific aortic valve disease and its therapeutic implications. Cardiovasc Res 2022; 118:1433-1451. [PMID: 33881501 PMCID: PMC9074995 DOI: 10.1093/cvr/cvab142] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 04/19/2021] [Indexed: 12/12/2022] Open
Abstract
Calcific aortic valve disease (CAVD) is the end result of active cellular processes that lead to the progressive fibrosis and calcification of aortic valve leaflets. In western populations, CAVD is a significant cause of cardiovascular morbidity and mortality, and in the absence of effective drugs, it will likely represent an increasing disease burden as populations age. As there are currently no pharmacological therapies available for preventing, treating, or slowing the development of CAVD, understanding the mechanisms underlying the initiation and progression of the disease is important for identifying novel therapeutic targets. Recent evidence has emerged of an important causative role for reactive oxygen species (ROS)-mediated oxidative stress in the pathophysiology of CAVD, inducing the differentiation of valve interstitial cells into myofibroblasts and then osteoblasts. In this review, we focus on the roles and sources of ROS driving CAVD and consider their potential as novel therapeutic targets for this debilitating condition.
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Affiliation(s)
- Harry Z E Greenberg
- Department of Cardiology, Cardiovascular Division, King's College London British Heart Foundation Centre of Research Excellence, James Black Centre, 125 Coldharbour Lane, London SE5 9NU, UK
| | - Guoan Zhao
- Department of Cardiology, The First Affiliated Hospital of Xinxiang Medical University, Heart Center of Xinxiang Medical University, Henan, China
| | - Ajay M Shah
- Department of Cardiology, Cardiovascular Division, King's College London British Heart Foundation Centre of Research Excellence, James Black Centre, 125 Coldharbour Lane, London SE5 9NU, UK
| | - Min Zhang
- Department of Cardiology, Cardiovascular Division, King's College London British Heart Foundation Centre of Research Excellence, James Black Centre, 125 Coldharbour Lane, London SE5 9NU, UK
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Tao T, Zheng J, Han Y, Yang Q, Ni Y, Ma L. Association Between Plasma Lipoprotein Levels and Aortic Valve Calcification Among Patients with Aortic Valve Replacement Surgery: A Retrospective Study. Int J Gen Med 2022; 15:4665-4673. [PMID: 35548590 PMCID: PMC9081007 DOI: 10.2147/ijgm.s363989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 05/02/2022] [Indexed: 12/02/2022] Open
Abstract
Objective Calcific aortic valve disease (CAVD) is a prevalent type of valvular heart disease, its association with dyslipidemia remains controversial. Methods Of 449 CAVD patients who underwent aortic valve replacement, 228 formed the aortic valve calcification (AVC) group, and 221 were the non-calcification group. We retrospectively reviewed the preoperative and one-year postoperative plasma lipoprotein levels of both and performed a logistic regression to evaluate the factors associated with AVC. Results Preoperatively, AVC patients had significantly higher coronary heart disease (43.0% vs 24.9%, p<0.001), peripheral vascular disease (41.7% vs 26.2%, p<0.001), and heart failure rates (63.6% vs 47.1%, p<0.001), and a higher level of total cholesterol (4.1±0.9 vs 3.9±0.8 mmol/L, p=0.032) and very low-density cholesterol (0.6 (0.4–0.7) vs 0.5 (0.3–0.7) mmol/L, p=0.054). Echocardiography revealed a significant difference of aortic stenosis in both AVC and non-AVC groups (p<0.05), and also identified aortic regurgitation (AR) with a significant difference between these two groups (p=0.003). The peak transaortic jet velocity, peak transaortic gradient, and mean transaortic gradient were significantly higher in the calcification group (all p<0.001), but the aortic valve area (0.7 (0.5–1.0) vs 4 (0.9–4.5) cm2; p<0.001) was smaller. Age (OR=1.023), total cholesterol (OR=1.272), and mean transaortic gradient (OR=1.182) were AVC risk factors. A larger aortic valve area (OR=0.010) were protective factors. The one-year mortality and perivalvular leakage rates were significantly higher in the calcification group. Conclusion Total cholesterol was significantly higher in AVC patients and may be an AVC risk factor along with age and mean transaortic gradient. AVC patients had a relatively poorer outcome within one year.
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Affiliation(s)
- Tingting Tao
- Department of Cardiovascular Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
| | - Junnan Zheng
- Department of Cardiovascular Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
| | - Yu Han
- Department of Cardiovascular Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
| | - Qiqi Yang
- Department of Cardiovascular Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
| | - Yiming Ni
- Department of Cardiovascular Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
| | - Liang Ma
- Department of Cardiovascular Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
- Correspondence: Liang Ma, Department of Cardiovascular Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, 79#, Qingchun Road, Hangzhou, Zhejiang, 310003, People’s Republic of China, Tel +86 571 87236841, Fax +86 571 87236843, Email
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Alonso R, Argüeso R, Álvarez-Baños P, Muñiz-Grijalvo O, Diaz-Diaz JL, Mata P. Familial Hypercholesterolemia and Lipoprotein(a): Two Partners in Crime? Curr Atheroscler Rep 2022; 24:427-434. [PMID: 35386090 DOI: 10.1007/s11883-022-01019-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2022] [Indexed: 12/24/2022]
Abstract
PURPOSE OF REVIEW Familial hypercholesterolemia is a high cardiovascular risk disorder. We will review the role of lipoprotein(a) in cardiovascular risk and in aortic valve stenosis in familial hypercholesterolemia, as well as its association with their phenotype, and strategies to identify this high-risk population. RECENT FINDINGS Patients with familial hypercholesterolemia have higher lipoprotein(a) levels mainly due to an increased frequency of LPA variants, and the cardiovascular risk is increased twofolds when both conditions coexist. Also, an increased risk for aortic valve stenosis and valve replacement has been observed with high lipoprotein(a) levels. Assessment of lipoprotein(a) during the cascade screening for familial hypercholesterolemia is a good opportunity to identify this high-risk population. High cardiovascular risk in familial hypercholesterolemia is increased even more when lipoprotein(a) is also elevated. Measurement of lipoprotein(a) in these patients is crucial to identify those subjects who need to intensify LDL-cholesterol reduction pending availability of lipoprotein(a)-specific treatments.
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Affiliation(s)
- Rodrigo Alonso
- Center for Advanced Metabolic Medicine and Nutrition, Av. Las Condes 9460, of 501. , Santiago, Chile.
- Fundación Hipercolesterolemia Familiar, Madrid, Spain.
| | - Rosa Argüeso
- Department of Endocrinology, Hospital Universitario Lucus Augusti, Lugo, Spain
| | - Pilar Álvarez-Baños
- Department of Endocrinology, Hospital Universitario de Burgos, Burgos, Spain
| | | | | | - Pedro Mata
- Fundación Hipercolesterolemia Familiar, Madrid, Spain
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Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2499] [Impact Index Per Article: 1249.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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37
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Kaltoft M, Langsted A, Afzal S, Kamstrup PR, Nordestgaard BG. Lipoprotein(a) and Body Mass Compound the Risk of Calcific Aortic Valve Disease. J Am Coll Cardiol 2022; 79:545-558. [PMID: 35144746 DOI: 10.1016/j.jacc.2021.11.043] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 10/28/2021] [Accepted: 11/09/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND High plasma lipoprotein(a) and high body mass index are both causal risk factors for calcific aortic valve disease. OBJECTIVES This study sought to test the hypothesis that risk of calcific aortic valve disease is the highest when both plasma lipoprotein(a) and body mass index are extremely high. METHODS From the Copenhagen General Population Study, we used information on 69,988 randomly selected individuals recruited from 2003 to 2015 (median follow-up 7.4 years) to evaluate the association between high lipoprotein(a) and high body mass index with risk of calcific aortic valve disease. RESULTS Compared with individuals in the 1st to 49th percentiles for both lipoprotein(a) and body mass index, the multivariable adjusted HRs for calcific aortic valve disease were 1.6 (95% CI: 1.3-1.9) for the 50th to 89th percentiles of both (16% of all individuals) and 3.5 (95% CI: 2.5-5.1) for the 90th to 100th percentiles of both (1.1%) (P for interaction = 0.92). The 10-year absolute risk of calcific aortic valve disease increased with higher lipoprotein(a), body mass index, and age, and was higher in men than in women. For women and men 70-79 years of age with body mass index ≥30.0 kg/m2, 10-year absolute risks were 5% and 8% for lipoprotein(a) ≤42 mg/dL (88 nmol/L), 7% and 11% for 42-79 mg/dL (89-169 nmol/L), and 9% and 14% for lipoprotein(a) ≥80 mg/dL (170 nmol/L), respectively. CONCLUSIONS Extremely high lipoprotein(a) levels and extremely high body mass index together conferred a 3.5-fold risk of calcific aortic valve disease. Ten-year absolute risk of calcific aortic valve disease by categories of lipoprotein(a) levels, body mass index, age, and sex ranged from 0.4% to 14%.
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Affiliation(s)
- Morten Kaltoft
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark; Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anne Langsted
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark; Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Shoaib Afzal
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark; Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pia R Kamstrup
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark; Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark; Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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38
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Hindy G, Dornbos P, Chaffin MD, Liu DJ, Wang M, Selvaraj MS, Zhang D, Park J, Aguilar-Salinas CA, Antonacci-Fulton L, Ardissino D, Arnett DK, Aslibekyan S, Atzmon G, Ballantyne CM, Barajas-Olmos F, Barzilai N, Becker LC, Bielak LF, Bis JC, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Bowden DW, Bown MJ, Brody JA, Broome JG, Burtt NP, Cade BE, Centeno-Cruz F, Chan E, Chang YC, Chen YDI, Cheng CY, Choi WJ, Chowdhury R, Contreras-Cubas C, Córdova EJ, Correa A, Cupples LA, Curran JE, Danesh J, de Vries PS, DeFronzo RA, Doddapaneni H, Duggirala R, Dutcher SK, Ellinor PT, Emery LS, Florez JC, Fornage M, Freedman BI, Fuster V, Garay-Sevilla ME, García-Ortiz H, Germer S, Gibbs RA, Gieger C, Glaser B, Gonzalez C, Gonzalez-Villalpando ME, Graff M, Graham SE, Grarup N, Groop LC, Guo X, Gupta N, Han S, Hanis CL, Hansen T, He J, Heard-Costa NL, Hung YJ, Hwang MY, Irvin MR, Islas-Andrade S, Jarvik GP, Kang HM, Kardia SLR, Kelly T, Kenny EE, Khan AT, Kim BJ, Kim RW, Kim YJ, Koistinen HA, Kooperberg C, Kuusisto J, Kwak SH, Laakso M, Lange LA, Lee J, Lee J, Lee S, Lehman DM, Lemaitre RN, Linneberg A, Liu J, Loos RJF, Lubitz SA, Lyssenko V, Ma RCW, Martin LW, Martínez-Hernández A, Mathias RA, McGarvey ST, McPherson R, Meigs JB, Meitinger T, Melander O, Mendoza-Caamal E, Metcalf GA, Mi X, Mohlke KL, Montasser ME, Moon JY, Moreno-Macías H, Morrison AC, Muzny DM, Nelson SC, Nilsson PM, O'Connell JR, Orho-Melander M, Orozco L, Palmer CNA, Palmer ND, Park CJ, Park KS, Pedersen O, Peralta JM, Peyser PA, Post WS, Preuss M, Psaty BM, Qi Q, Rao DC, Redline S, Reiner AP, Revilla-Monsalve C, Rich SS, Samani N, Schunkert H, Schurmann C, Seo D, Seo JS, Sim X, Sladek R, Small KS, So WY, Stilp AM, Tai ES, Tam CHT, Taylor KD, Teo YY, Thameem F, Tomlinson B, Tsai MY, Tuomi T, Tuomilehto J, Tusié-Luna T, Udler MS, van Dam RM, Vasan RS, Viaud Martinez KA, Wang FF, Wang X, Watkins H, Weeks DE, Wilson JG, Witte DR, Wong TY, Yanek LR, Kathiresan S, Rader DJ, Rotter JI, Boehnke M, McCarthy MI, Willer CJ, Natarajan P, Flannick JA, Khera AV, Peloso GM. Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. Am J Hum Genet 2022; 109:81-96. [PMID: 34932938 PMCID: PMC8764201 DOI: 10.1016/j.ajhg.2021.11.021] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 11/21/2021] [Indexed: 01/14/2023] Open
Abstract
Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1%) predicted damaging coding variation by using sequence data from >170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels.
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Affiliation(s)
- George Hindy
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Population Medicine, Qatar University College of Medicine, QU Health, Doha, Qatar
| | - Peter Dornbos
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA 02142, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA 02115, USA
| | - Mark D Chaffin
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Dajiang J Liu
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033, USA
| | - Minxian Wang
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Margaret Sunitha Selvaraj
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - David Zhang
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Joseph Park
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Lucinda Antonacci-Fulton
- Department of Genetics, Washington University in St. Louis, St. Louis, MO 63110, USA; The McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Diego Ardissino
- ASTC: Associazione per lo Studio Della Trombosi in Cardiologia, Pavia, Italy; Azienda Ospedaliero-Universitaria di Parma, Parma, Italy; Universitˆ, degli Studi di Parma, Parma, Italy
| | - Donna K Arnett
- Dean's Office, College of Public Health, University of Kentucky, Lexington, KY 40536, USA
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Gil Atzmon
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA; University of Haifa, Faculty of Natural Science, Haifa, Israel
| | - Christie M Ballantyne
- Houston Methodist Debakey Heart and Vascular Center, Houston, TX 77030, USA; Section of Cardiovascular Research, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Nir Barzilai
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Lewis C Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 49109, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lori L Bonnycastle
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Erwin Bottinger
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Digital Health Center, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Matthew J Bown
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK; NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Jai G Broome
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Noël P Burtt
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA 02142, USA
| | - Brian E Cade
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | | | - Edmund Chan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
| | - Yi-Cheng Chang
- Institute of Biomedical Sciences, Academia Sinica, Taiwan
| | - Yii-Der I Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Ching-Yu Cheng
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore; Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Won Jung Choi
- Psomagen, Inc. (formerly Macrogen USA), 1330 Piccard Drive Ste 103, Rockville, MD 20850, USA
| | - Rajiv Chowdhury
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Centre for Non-Communicable Disease Research, Bangladesh
| | | | | | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA; NHLBI Framingham Heart Study, Framingham, MA 01702, USA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; The National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics at the University of Cambridge, Cambridge, UK
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Ralph A DeFronzo
- Department of Medicine, University of Texas Health Science Center, San Antonio, TX 78229, USA
| | - Harsha Doddapaneni
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - Susan K Dutcher
- Department of Genetics, Washington University in St. Louis, St. Louis, MO 63110, USA; The McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Patrick T Ellinor
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA; Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Leslie S Emery
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Jose C Florez
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Diabetes Research Center (Diabetes Unit), Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX 770030, USA
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Valentin Fuster
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Ma Eugenia Garay-Sevilla
- Department of Medical Science, Division of Health Science, University of Guanajuato, Guanajuanto, Mexico
| | | | | | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research, Neuherberg, Germany
| | - Benjamin Glaser
- Endocrinology and Metabolism Service, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Clicerio Gonzalez
- Unidad de Diabetes y Riesgo Cardiovascular, Instituto Nacional de Salud Pœblica, Cuernavaca, Morelos, Mexico
| | | | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Sarah E Graham
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Leif C Groop
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden; Finnish Institute for Molecular Genetics, University of Helsinki, Helsinki, Finland
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Namrata Gupta
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Sohee Han
- Division of Genome Science, Department of Precision Medicine, Chungcheongbuk-do, Republic of Korea
| | - Craig L Hanis
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA; Tulane University Translational Science Institute, New Orleans, LA 70112, USA
| | - Nancy L Heard-Costa
- NHLBI Framingham Heart Study, Framingham, MA 01702, USA; Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Yi-Jen Hung
- Division of Endocrine and Metabolism, Tri-Service General Hospital Songshan Branch, Taipei, Taiwan
| | - Mi Yeong Hwang
- Division of Genome Science, Department of Precision Medicine, Chungcheongbuk-do, Republic of Korea
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, UAB, Birmingham, AL 35294, USA
| | - Sergio Islas-Andrade
- Dirección de Investigación, Hospital General de México "Dr. Eduardo Liceaga," Secretaría de Salud, Mexico City, Mexico
| | - Gail P Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington Medical Center, Seattle, WA 98195, USA
| | - Hyun Min Kang
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 49109, USA
| | - Tanika Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Eimear E Kenny
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Alyna T Khan
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Bong-Jo Kim
- Division of Genome Science, Department of Precision Medicine, Chungcheongbuk-do, Republic of Korea
| | - Ryan W Kim
- Psomagen, Inc. (formerly Macrogen USA), 1330 Piccard Drive Ste 103, Rockville, MD 20850, USA
| | - Young Jin Kim
- Division of Genome Science, Department of Precision Medicine, Chungcheongbuk-do, Republic of Korea
| | - Heikki A Koistinen
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland; Minerva Foundation Institute for Medical Research, Helsinki, Finland; University of Helsinki and Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98103, USA
| | - Johanna Kuusisto
- Institute of Clinical Medicine, University of Eastern Finland, and Kuopio University Hospital, Kuopio, Finland
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Markku Laakso
- Institute of Clinical Medicine, University of Eastern Finland, and Kuopio University Hospital, Kuopio, Finland
| | - Leslie A Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Jiwon Lee
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Juyoung Lee
- Division of Genome Science, Department of Precision Medicine, Chungcheongbuk-do, Republic of Korea
| | - Seonwook Lee
- Psomagen, Inc. (formerly Macrogen USA), 1330 Piccard Drive Ste 103, Rockville, MD 20850, USA
| | - Donna M Lehman
- Department of Medicine, University of Texas Health Science Center, San Antonio, TX 78229, USA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jianjun Liu
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore; Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - Ruth J F Loos
- Charles R. Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Steven A Lubitz
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA; Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Valeriya Lyssenko
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden; University of Bergen, Bergen, Norway
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Lisa Warsinger Martin
- Division of Cardiology, Department of Medicine, George Washington University, Washington, DC 20037, USA
| | | | - Rasika A Mathias
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Stephen T McGarvey
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI 02912, USA
| | - Ruth McPherson
- Ruddy Canadian Cardiovascuar Genetics Centre, University of Ottawa Heart Institute, Ottawa, ON, Canada
| | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; General Medicine Division, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Thomas Meitinger
- Deutsches Forschungszentrum fŸr Herz-Kreislauferkrankungen, Partner Site Munich Heart Alliance, Munich, Germany; Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Olle Melander
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden; Department of Emergency and Internal Medicine, SkŒne University Hospital, Malmö, Sweden
| | | | - Ginger A Metcalf
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xuenan Mi
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27514, USA
| | - May E Montasser
- University of Maryland School of Medicine, Division of Endocrinology, Diabetes and Nutrition and Program for Personalized and Genomic Medicine, Baltimore, MD 21201, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | | | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sarah C Nelson
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Peter M Nilsson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Jeffrey R O'Connell
- University of Maryland School of Medicine, Division of Endocrinology, Diabetes and Nutrition and Program for Personalized and Genomic Medicine, Baltimore, MD 21201, USA
| | | | - Lorena Orozco
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Colin N A Palmer
- Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Division of Population Health and Genomics, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Cheol Joo Park
- Psomagen, Inc. (formerly Macrogen USA), 1330 Piccard Drive Ste 103, Rockville, MD 20850, USA
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Juan M Peralta
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 49109, USA
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Michael Preuss
- Charles R. Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA; Department of Epidemiology, University of Washington, Seattle, WA 98101, USA; Department of Health Services, University of Washington, Seattle, WA 98101, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - D C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | | | | | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Nilesh Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK; NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Heribert Schunkert
- Deutsches Herzzentrum München, Technische UniversitŠt München, Deutsches Zentrum fŸr Herz-Kreislauf-Forschung, München, Germany
| | - Claudia Schurmann
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Digital Health Center, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany; Charles R. Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Daekwan Seo
- Psomagen, Inc. (formerly Macrogen USA), 1330 Piccard Drive Ste 103, Rockville, MD 20850, USA
| | - Jeong-Sun Seo
- Psomagen, Inc. (formerly Macrogen USA), 1330 Piccard Drive Ste 103, Rockville, MD 20850, USA
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Rob Sladek
- Department of Human Genetics, McGill University, Montreal, QC, Canada; Division of Endocrinology and Metabolism, Department of Medicine, McGill University, Montreal, QC, Canada; McGill University and Génome Québec Innovation Centre, Montreal, QC, Canada
| | - Kerrin S Small
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Wing Yee So
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Adrienne M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - E Shyong Tai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Duke-NUS Medical School Singapore, Singapore
| | - Claudia H T Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Yik Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Department of Statistics and Applied Probability, National University of Singapore, Singapore; Life Sciences Institute, National University of Singapore, Singapore
| | - Farook Thameem
- Department of Biochemistry, Faculty of Medicine, Health Science Center, Kuwait University, Safat, Kuwait
| | - Brian Tomlinson
- Faculty of Medicine, Macau University of Science & Technology, Macau, China
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Tiinamaija Tuomi
- Department of Endocrinology, Abdominal Centre, Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Centre, Helsinki, Finland; Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Jaakko Tuomilehto
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland; Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Teresa Tusié-Luna
- Instituto Nacional de Ciencias Medicas y Nutricion, Mexico City, Mexico; Departamento de Medicina Genómica y Toxicología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México/ Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Miriam S Udler
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Diabetes Research Center (Diabetes Unit), Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
| | - Ramachandran S Vasan
- NHLBI Framingham Heart Study, Framingham, MA 01702, USA; Departments of Medicine & Epidemiology, Boston University Schools of Medicine & Public Health, Boston, MA 02118, USA
| | | | - Fei Fei Wang
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Xuzhi Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Hugh Watkins
- Cardiovascular Medicine, Radcliffe Department of Medicine and the Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Daniel E Weeks
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - James G Wilson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus, Denmark; Steno Diabetes Center Aarhus, Aarhus, Denmark
| | - Tien-Yin Wong
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore; Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Sekar Kathiresan
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Verve Therapeutics, Cambridge, MA 02139, USA
| | - Daniel J Rader
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK; Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Cristen J Willer
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Pradeep Natarajan
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA; Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Jason A Flannick
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA 02142, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA 02115, USA
| | - Amit V Khera
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Gina M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA.
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Härdrich M, Haase-Fielitz A, Fielitz J, Boschmann M, Pivovarova-Ramich O, Pfeiffer AFH, Rudovich N, Weylandt KH, Butter C. Physical Performance and Non-Esterified Fatty Acids in Men and Women after Transcatheter Aortic Valve Implantation (TAVI). Nutrients 2022; 14:nu14010203. [PMID: 35011078 PMCID: PMC8747609 DOI: 10.3390/nu14010203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 12/26/2021] [Accepted: 12/30/2021] [Indexed: 11/16/2022] Open
Abstract
Background: Men and women with valvular heart disease have different risk profiles for clinical endpoints. Non-esterified fatty acids (NEFA) are possibly involved in cardio-metabolic disease. However, it is unclear whether NEFA concentrations are associated with physical performance in patients undergoing transcatheter aortic valve implantation (TAVI) and whether there are sex-specific effects. Methods: To test the hypothesis that NEFA concentration is associated with sex-specific physical performance, we prospectively analysed data from one hundred adult patients undergoing TAVI. NEFA concentrations, physical performance and anthropometric parameters were measured before and 6 and 12 months after TAVI. Physical performance was determined by a six-minute walking test (6-MWT) and self-reported weekly bicycle riding time. Results: Before TAVI, NEFA concentrations were higher in patients (44 women, 56 men) compared to the normal population. Median NEFA concentrations at 6 and 12 months after TAVI were within the reference range reported in the normal population in men but not women. Men but not women presented with an increased performance in the 6-MWT over time (p = 0.026, p = 0.142, respectively). Additionally, men showed an increased ability to ride a bicycle after TAVI compared to before TAVI (p = 0.034). NEFA concentrations before TAVI correlated with the 6-MWT before TAVI in women (Spearman’s rho −0.552; p = 0.001) but not in men (Spearman’s rho −0.007; p = 0.964). No association was found between NEFA concentrations and physical performance 6 and 12 months after TAVI. Conclusions: NEFA concentrations improved into the reference range in men but not women after TAVI. Men but not women have an increased physical performance after TAVI. No association between NEFA and physical performance was observed in men and women after TAVI.
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Affiliation(s)
- Michaela Härdrich
- Department of Cardiology, Heart Centre Brandenburg Bernau, Faculty of Health Sciences Brandenburg, Brandenburg Medical School (MHB) Theodor Fontane, 16321 Bernau, Germany; (M.H.); (C.B.)
| | - Anja Haase-Fielitz
- Department of Cardiology, Heart Centre Brandenburg Bernau, Faculty of Health Sciences Brandenburg, Brandenburg Medical School (MHB) Theodor Fontane, 16321 Bernau, Germany; (M.H.); (C.B.)
- Institute of Social Medicine & Health Care Systems Research, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany
- Correspondence: ; Tel.: +49-3338-694-649; Fax: +49-3338-694-644
| | - Jens Fielitz
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, 17489 Greifswald, Germany;
- Department of Internal Medicine B, Cardiology, University Medicine Greifswald, 17489 Greifswald, Germany
- Experimental & Clinical Research Centre (ECRC), a Joint Cooperation between Charité—University Medicine Berlin and Max Delbrück Centre (MDC) for Molecular Medicine in the Helmholtz Association, 13125 Berlin, Germany;
| | - Michael Boschmann
- Experimental & Clinical Research Centre (ECRC), a Joint Cooperation between Charité—University Medicine Berlin and Max Delbrück Centre (MDC) for Molecular Medicine in the Helmholtz Association, 13125 Berlin, Germany;
| | - Olga Pivovarova-Ramich
- Research Group Molecular Nutritional Medicine, Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany;
- Department Endocrinology and Metabolism, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany;
- German Center for Diabetes Research (Deutsches Zentrum Für Diabetesforschung e.V.), 85764 Neuherberg, Germany
| | - Andreas F. H. Pfeiffer
- Department Endocrinology and Metabolism, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany;
- German Center for Diabetes Research (Deutsches Zentrum Für Diabetesforschung e.V.), 85764 Neuherberg, Germany
| | - Natalia Rudovich
- Department of Internal Medicine, Spital STS AG, University of Zurich, 8006 Zurich, Switzerland;
- Department of Internal Medicine, Spital Bülach, 8180 Bülach, Switzerland
| | - Karsten H. Weylandt
- Medical Department, Divisions of Hepatology, Gastroenterology, Oncology, Haematology, Palliative Care, Endocrinology and Diabetes, Ruppiner Kliniken, Brandenburg Medical School, 16816 Neuruppin, Germany;
| | - Christian Butter
- Department of Cardiology, Heart Centre Brandenburg Bernau, Faculty of Health Sciences Brandenburg, Brandenburg Medical School (MHB) Theodor Fontane, 16321 Bernau, Germany; (M.H.); (C.B.)
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Innate immune cells in the pathophysiology of calcific aortic valve disease: lessons to be learned from atherosclerotic cardiovascular disease? Basic Res Cardiol 2022; 117:28. [PMID: 35581364 PMCID: PMC9114076 DOI: 10.1007/s00395-022-00935-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 05/04/2022] [Accepted: 05/04/2022] [Indexed: 01/31/2023]
Abstract
Calcific aortic valve disease (CAVD) is the most common valvular disease in the developed world with currently no effective pharmacological treatment available. CAVD results from a complex, multifactorial process, in which valvular inflammation and fibro-calcific remodelling lead to valve thickening and cardiac outflow obstruction. The exact underlying pathophysiology of CAVD is still not fully understood, yet the development of CAVD shows many similarities with the pathophysiology of atherosclerotic cardiovascular disease (ASCVD), such as coronary artery disease. Innate immune cells play a crucial role in ASCVD and might also play a pivotal role in the development of CAVD. This review summarizes the current knowledge on the role of innate immune cells, both in the circulation and in the aortic valve, in the development of CAVD and the similarities and differences with ASCVD. Trained immunity and clonal haematopoiesis of indeterminate potential are proposed as novel immunological mechanisms that possibly contribute to the pathophysiology of CAVD and new possible treatment targets are discussed.
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Evaluating Medical Therapy for Calcific Aortic Stenosis: JACC State-of-the-Art Review. J Am Coll Cardiol 2021; 78:2354-2376. [PMID: 34857095 DOI: 10.1016/j.jacc.2021.09.1367] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 09/08/2021] [Accepted: 09/27/2021] [Indexed: 12/23/2022]
Abstract
Despite numerous promising therapeutic targets, there are no proven medical treatments for calcific aortic stenosis (AS). Multiple stakeholders need to come together and several scientific, operational, and trial design challenges must be addressed to capitalize on the recent and emerging mechanistic insights into this prevalent heart valve disease. This review briefly discusses the pathobiology and most promising pharmacologic targets, screening, diagnosis and progression of AS, identification of subgroups that should be targeted in clinical trials, and the need to elicit the patient voice earlier rather than later in clinical trial design and implementation. Potential trial end points and tools for assessment and approaches to implementation and design of clinical trials are reviewed. The efficiencies and advantages offered by a clinical trial network and platform trial approach are highlighted. The objective is to provide practical guidance that will facilitate a series of trials to identify effective medical therapies for AS resulting in expansion of therapeutic options to complement mechanical solutions for late-stage disease.
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Kaltoft M, Sigvardsen PE, Afzal S, Langsted A, Fuchs A, Kühl JT, Køber L, Kamstrup PR, Kofoed KF, Nordestgaard BG. Elevated lipoprotein(a) in mitral and aortic valve calcification and disease: The Copenhagen General Population Study. Atherosclerosis 2021; 349:166-174. [PMID: 34903381 DOI: 10.1016/j.atherosclerosis.2021.11.029] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 10/25/2021] [Accepted: 11/26/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND AIMS We tested the hypotheses (i) that elevated lipoprotein(a) is causally associated with both mitral and aortic valve calcification and disease, and (ii) that aortic valve calcification mediates the effect of elevated lipoprotein(a) on aortic valve stenosis. METHODS From the Copenhagen General Population study, we included 12,006 individuals who underwent cardiac computed tomography to measure mitral and aortic valve calcification and 85,884 to examine risk of heart valve disease. Participants had information on plasma lipoprotein(a) and genetic instruments associated with plasma lipoprotein(a) to investigate potential causality. RESULTS At age 70-79 years, 29% and 54% had mitral and aortic valve calcification, respectively. For 10-fold higher lipoprotein(a) levels, multifactorially adjusted odds ratios for mitral and aortic valve calcification were 1.26 (95% confidence interval: 1.13-1.41) and 1.62 (1.48-1.77). For mitral and aortic valve stenosis, corresponding hazard ratios were 0.93 (95%CI:0.40-2.15, 19 events) and 1.54 (1.38-1.71, 1158 events), respectively. For ≤23 versus ≥36 kringle IV type 2 number of repeats, the age and sex adjusted odds ratios for mitral and aortic valve calcification were 1.53 (1.18-1.99) and 2.23 (1.81-2.76). For carriers versus non-carriers of LPA rs10455872, odds ratios for mitral and aortic valve calcification were 1.33 (1.13-1.57) and 1.86 (1.64-2.13). For aortic valve stenosis, 31% (95%CI:16%-76%) of the effect of lipoprotein(a) was mediated through calcification. CONCLUSIONS Elevated lipoprotein(a) was genetically and observationally associated with mitral and aortic valve calcification and aortic valve stenosis. Aortic valve calcification mediated 31% of the effect of elevated lipoprotein(a) on aortic valve stenosis.
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Affiliation(s)
- Morten Kaltoft
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Per E Sigvardsen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Department of Cardiology, The Heart Center, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Shoaib Afzal
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Anne Langsted
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Andreas Fuchs
- Department of Cardiology, The Heart Center, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Jørgen Tobias Kühl
- Department of Cardiology, The Heart Center, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Lars Køber
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Department of Cardiology, The Heart Center, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Pia R Kamstrup
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark
| | - Klaus F Kofoed
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Department of Cardiology, The Heart Center, Rigshospitalet, Copenhagen University Hospital, Denmark; Department of Radiology, The Diagnostic Center, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
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Abstract
PURPOSE OF REVIEW Degenerative aortic stenosis (AS) is one of the most prevalent heart valve diseases in the adult population. The understanding of AS pathophysiology and involved risk factors have recently undergone a great advance, with low-density lipoprotein cholesterol (LDL-C), lipoprotein (a) [Lp(a)] and other clinical conditions taking on a relevant role. Although little is known about the prevention of AS, we can progressively find more evidence of the possible use of drugs to control risk factors as tools that may delay the progression to severe AS and aortic valve replacement. RECENT FINDINGS Several factors have shown to be solid predictors of the development of AS. Mendelian randomization and observational studies on risk factors specifically lipid factors, such as hypercholesterolemia, Lp(a), proprotein convertase subtilisin/kexin type 9 and hypertension have provided meaningful new information. The SAFEHEART study has significantly contributed to define the role of LDL-C and Lp(a) in AS. SUMMARY In this review we discuss the interrelationship of dyslipidemia, especially hypercholesterolemia and Lp(a) in the development and prognosis of valvular AS. New imaging tools may contribute to its early detection. Future studies with proprotein convertase subtilisin/kexin type 9 inhibitors and specific therapies to lower Lp(a) might contribute to delay AS development.
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Affiliation(s)
- Pedro Mata
- Fundación Hipercolesterolemia Familiar, Madrid, Spain
| | - Rodrigo Alonso
- Fundación Hipercolesterolemia Familiar, Madrid, Spain
- Center for Advanced Metabolic Medicine and Nutrition, Santiago, Chile
| | - Leopoldo Pérez de Isla
- Fundación Hipercolesterolemia Familiar, Madrid, Spain
- Cardiology Department, Hospital Clínico San Carlos, IDISSC, Facultad de Medicina, Universidad Complutense, Madrid
| | - Lina Badimón
- Fundación Hipercolesterolemia Familiar, Madrid, Spain
- Cardiovascular Program - ICCC, Institut de Recerca del Hospital Santa Creu i Sant Pau, IIB Sant Pau, Ciber CV, Barcelona, Spain
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Xu J, Shen CJ, Ooi JD, Tang YS, Xiao Z, Yuan QJ, Zhong Y, Zhou QL. Serum Sortilin Is Associated with Coronary Artery Calcification and Cardiovascular and Cerebrovascular Events in Maintenance Hemodialysis Patients. KIDNEY DISEASES (BASEL, SWITZERLAND) 2021; 7:503-513. [PMID: 34901196 PMCID: PMC8613630 DOI: 10.1159/000517304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 05/16/2021] [Indexed: 06/14/2023]
Abstract
OBJECTIVE To analyze the role of serum sortilin in coronary artery calcification (CAC) and cardiovascular and cerebrovascular events (CCE) in maintenance hemodialysis (MHD) patients. METHODS One hundred eleven patients with MHD ≥3 months were included in this study. The general data, clinical features, hematological data, and medication history of the patients were recorded. Eighty-five cases were examined by vascular color Doppler ultrasound, cardiac color Doppler ultrasound, lateral lumbar radiography, and coronary artery calcification score. The patients were followed up for a median time of 45 months. The primary endpoint was CCE or death from a vascular event, and the role of sortilin in this process was analyzed. RESULTS Among 85 MHD patients, 51 cases (60.00%) had different degrees of CAC. There were significant differences in diabetes, dialysis time, serum phosphorus, calcium-phosphorus product, medical history of phosphate binders, sortilin, and carotid artery plaque between 4 different degrees of calcification groups (p < 0.05). Logistic regression analysis showed that diabetes (OR = 5.475; 95% CI: 1.794-16.71, p = 0.003), calcium-phosphorus product (OR = 2.953; 95% CI: 1.198-7.279, p = 0.019), and sortilin (OR = 1.475 per 100 pg/mL; 95% CI: 1.170-1.858, p = 0.001) were independent risk factors for CAC. During the follow-up, 28 cases of 111 patients (25.23%) suffered from CCE. There were significant differences in CCE between mild, moderate, and severe CAC groups and noncalcification groups (p < 0.05). Cox regression analysis showed that diabetes mellitus (HR 3.424; 95% CI: 1.348-8.701, p = 0.010), CAC (HR 5.210; 95% CI: 1.093-24.83, p = 0.038), and serum sortilin (HR = 8.588; 95% CI: 1.919-38.43, p = 0.005) were independent risk factors for CCE. Besides, we proposed a cutoff value of 418 pg/mL for serum sortilin level, which was able to predict the occurrence of CCE with 75.0% sensitivity and 71.9% specificity. The area under the curve was 0.778 (95% CI: 0.673-0.883). CONCLUSION Sortilin is newly found to be independently associated with CAC and CCE in MHD patients.
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Affiliation(s)
- Jie Xu
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China
| | - Chan-Juan Shen
- Department of Hematology, The Affiliated Zhuzhou Hospital Xiangya Medical College, Central South University, Zhuzhou, China
| | - Joshua D. Ooi
- Centre for Inflammatory Diseases, Monash University, Clayton, Victoria, Australia
| | - Yang-Shuo Tang
- Department of Ultrasonography, Xiangya Hospital, Central South University, Changsha, China
| | - Zhou Xiao
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China
| | - Qiong-Jing Yuan
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China
| | - Yong Zhong
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China
| | - Qiao-Ling Zhou
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China
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Rocha VZ, Santos RD. Updates on genetics and molecular biology. Curr Opin Lipidol 2021; 32:333-334. [PMID: 34472543 DOI: 10.1097/mol.0000000000000772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Viviane Z Rocha
- Lipid Clinic Heart Institute (InCor), University of Sao Paulo Medical School Hospital
- Fleury Medicina e Saúde, Grupo Fleury
| | - Raul D Santos
- Lipid Clinic Heart Institute (InCor), University of Sao Paulo Medical School Hospital
- Academic Research Organization, Hospital Israelita Albert Einstein, Sao Paulo, Brazil
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Björnsson E, Thorgeirsson G, Helgadóttir A, Thorleifsson G, Sveinbjörnsson G, Kristmundsdóttir S, Jónsson H, Jónasdóttir A, Jónasdóttir Á, Sigurðsson Á, Guðnason T, Ólafsson Í, Sigurðsson EL, Sigurðardóttir Ó, Viðarsson B, Baldvinsson M, Bjarnason R, Danielsen R, Matthíasson SE, Thórarinsson BL, Grétarsdóttir S, Steinthórsdóttir V, Halldórsson BV, Andersen K, Arnar DO, Jónsdóttir I, Guðbjartsson DF, Hólm H, Thorsteinsdóttir U, Sulem P, Stefánsson K. Large-Scale Screening for Monogenic and Clinically Defined Familial Hypercholesterolemia in Iceland. Arterioscler Thromb Vasc Biol 2021; 41:2616-2628. [PMID: 34407635 PMCID: PMC8454500 DOI: 10.1161/atvbaha.120.315904] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 08/02/2021] [Indexed: 01/07/2023]
Abstract
Objective: Familial hypercholesterolemia (FH) is traditionally defined as a monogenic disease characterized by severely elevated LDL-C (low-density lipoprotein cholesterol) levels. In practice, FH is commonly a clinical diagnosis without confirmation of a causative mutation. In this study, we sought to characterize and compare monogenic and clinically defined FH in a large sample of Icelanders. Approach and Results: We whole-genome sequenced 49 962 Icelanders and imputed the identified variants into an overall sample of 166 281 chip-genotyped Icelanders. We identified 20 FH mutations in LDLR, APOB, and PCSK9 with combined prevalence of 1 in 836. Monogenic FH was associated with severely elevated LDL-C levels and increased risk of premature coronary disease, aortic valve stenosis, and high burden of coronary atherosclerosis. We used a modified version of the Dutch Lipid Clinic Network criteria to screen for the clinical FH phenotype among living adult participants (N=79 058). Clinical FH was found in 2.2% of participants, of whom only 5.2% had monogenic FH. Mutation-negative clinical FH has a strong polygenic basis. Both individuals with monogenic FH and individuals with mutation-negative clinical FH were markedly undertreated with cholesterol-lowering medications and only a minority attained an LDL-C target of <2.6 mmol/L (<100 mg/dL; 11.0% and 24.9%, respectively) or <1.8 mmol/L (<70 mg/dL; 0.0% and 5.2%, respectively), as recommended for primary prevention by European Society of Cardiology/European Atherosclerosis Society cholesterol guidelines. Conclusions: Clinically defined FH is a relatively common phenotype that is explained by monogenic FH in only a minority of cases. Both monogenic and clinical FH confer high cardiovascular risk but are markedly undertreated.
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Affiliation(s)
- Eythór Björnsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
- Department of Internal Medicine (E.B.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Guðmundur Thorgeirsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- Division of Cardiology, Department of Internal Medicine (G. Thorgeirsson, R.D., K.A., D.O.A.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Anna Helgadóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Guðmar Thorleifsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Garðar Sveinbjörnsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Snaedís Kristmundsdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Hákon Jónsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Aðalbjörg Jónasdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Áslaug Jónasdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Ásgeir Sigurðsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | | | - Ísleifur Ólafsson
- Department of Clinical Biochemistry (I.O.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Emil L. Sigurðsson
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
- Development Centre for the Primary Care, Reykjavík, Iceland (E.L.S.)
| | | | - Brynjar Viðarsson
- Department of Hematology (B.V.), Landspítali-The National University Hospital of Iceland, Reykjavík
- The Laboratory in Mjódd, Reykjavík, Iceland (B.V.)
| | | | - Ragnar Bjarnason
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
- Children’s Medical Center (R.B.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Ragnar Danielsen
- Division of Cardiology, Department of Internal Medicine (G. Thorgeirsson, R.D., K.A., D.O.A.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | | | - Björn L. Thórarinsson
- Department of Neurology (B.L.T.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Sólveig Grétarsdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Valgerður Steinthórsdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Bjarni V. Halldórsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Karl Andersen
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
- Division of Cardiology, Department of Internal Medicine (G. Thorgeirsson, R.D., K.A., D.O.A.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Davíð O. Arnar
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
- Division of Cardiology, Department of Internal Medicine (G. Thorgeirsson, R.D., K.A., D.O.A.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Ingileif Jónsdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
| | - Daníel F. Guðbjartsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- School of Engineering and Natural Sciences, University of Iceland, Reykjavík (D.F.G.)
| | - Hilma Hólm
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Unnur Thorsteinsdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
| | - Patrick Sulem
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Kári Stefánsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
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Transcatheter aortic valve replacement in a patient with premature coronary artery disease and calcific aortic stenosis complicated by heterozygous familial hypercholesterolemia. J Clin Lipidol 2021; 15:793-795. [PMID: 34645588 DOI: 10.1016/j.jacl.2021.09.047] [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: 04/12/2021] [Revised: 08/29/2021] [Accepted: 09/22/2021] [Indexed: 11/23/2022]
Abstract
We describe a case of a 59-year-old man with severe heterozygous familial hypercholesterolemia (FH) and elevated lipoprotein(a) presenting with severe aortic stenosis, treated with transcatheter aortic valve replacement (TAVR). His history also includes premature coronary artery disease requiring coronary artery bypass surgery at age 48 and a stroke at age 55. His pre-treatment lipid values include an LDL-Cholesterol (LDL-C) of 458 mg/dL, total cholesterol of 588 mg/dL, and lipoprotein (a) level of 351 nmol/L. Since his FH diagnosis, he has received several lipid-lowering agents including statins, bile acid sequestrants, nicotinic acid derivatives, and PCSK9 inhibitors. This case reflects the association of FH and elevated lipoprotein(a) with aortic stenosis and TAVR as a viable and effective treatment.
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Afshar M, Yazdan-Ashoori S, Engert JC, Thanassoulis G. Drugs for Prevention and Treatment of Aortic Stenosis: How Close Are We? Can J Cardiol 2021; 37:1016-1026. [DOI: 10.1016/j.cjca.2021.02.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 02/18/2021] [Accepted: 02/25/2021] [Indexed: 12/25/2022] Open
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Elevated Apolipoprotein B/A-1 Ratio is Associated With an Increased Risk of Aortic Stenosis: Experience From the AMORIS Cohort. Heart Lung Circ 2021; 30:1050-1057. [DOI: 10.1016/j.hlc.2020.12.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 10/29/2020] [Accepted: 12/03/2020] [Indexed: 11/22/2022]
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Affiliation(s)
- Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
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