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Aminbakhsh AP, Théberge ET, Burden E, Adejumo CK, Gravely AK, Lehman A, Sedlak TL. Exploring associations between estrogen and gene candidates identified by coronary artery disease genome-wide association studies. Front Cardiovasc Med 2025; 12:1502985. [PMID: 40182431 PMCID: PMC11965610 DOI: 10.3389/fcvm.2025.1502985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Accepted: 03/04/2025] [Indexed: 04/05/2025] Open
Abstract
Introduction Coronary artery disease (CAD) is the leading cause of death around the world, with epidemiological sex and gender differences in prevalence, pathophysiology and outcomes. It has been hypothesized that sex steroids, like estrogen, may contribute to these sex differences. There is a relatively large genetic component to developing CAD, with heritability estimates ranging between 40%-60%. In the last two decades, genome-wide association studies (GWAS) have contributed substantially to advancing the understanding of genetic candidates contributing to CAD. The aim of this study was to determine if genes discovered in CAD GWASs are affected by estrogen via direct modulation or indirect down-stream targets. Methods A scoping review was conducted using MEDLINE and EMBASE for studies of atherosclerotic coronary artery disease and a genome-wide association study (GWAS) design. Analysis was limited to candidate genes with corresponding single nucleotide polymorphisms (SNPs) surpassing genome-wide significance and had been mapped to genes by study authors. The number of studies that conducted sex-stratified analyses with significant genes were quantified. A literature search of the final gene lists was done to examine any evidence suggesting estrogen may modulate the genes and/or gene products. Results There were 60 eligible CAD GWASs meeting inclusion criteria for data extraction. Of these 60, only 36 had genome-wide significant SNPs reported, and only 3 of these had significant SNPs from sex-stratified analyses mapped to genes. From these 36 studies, a total of 61 genes were curated, of which 26 genes (43%) were found to have modulation by estrogen. All 26 were discovered in studies that adjusted for sex. 12/26 genes were also discovered in studies that conducted sex-stratified analyses. 12/26 genes were classified as having a role in lipid synthesis, metabolism and/or lipoprotein mechanisms, while 11/26 were classified as having a role in vascular integrity, and 3/26 were classified as having a role in thrombosis. Discussion This study provides further evidence of the relationship between estrogen, genetic risk and the development of CAD. More sex-stratified research will need to be conducted to further characterize estrogen's relation to sex differences in the pathology and progression of CAD.
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Affiliation(s)
- Ava P. Aminbakhsh
- Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Emilie T. Théberge
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Elizabeth Burden
- Division of Internal Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
- Vancouver Coastal Health, Vancouver, BC, Canada
| | - Cindy Kalenga Adejumo
- Division of Internal Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
- Vancouver Coastal Health, Vancouver, BC, Canada
| | - Annabel K. Gravely
- Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Anna Lehman
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Vancouver Coastal Health, Vancouver, BC, Canada
| | - Tara L. Sedlak
- Vancouver Coastal Health, Vancouver, BC, Canada
- Division of Cardiology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
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2
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Kim JH, Kim J, Kim J, Jung JY, Jeong JC, Han SH, Oh KH. Risk factors and transitional probability of clinical events in Korean CKD patients using the multistate model. Sci Rep 2025; 15:8582. [PMID: 40074771 PMCID: PMC11904225 DOI: 10.1038/s41598-024-82426-3] [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: 09/02/2024] [Accepted: 12/05/2024] [Indexed: 03/14/2025] Open
Abstract
Korean chronic kidney disease (CKD) patients have relatively low cardiovascular disease (CVD) and high end stage kidney disease (ESKD) incidence rates. Using the multi-state model this study analyzed the 5- and 10-year cumulative hazard estimates, transition probabilities and risk factors associated with the five clinical transitions; ESKD, CVD, CVD to death, ESKD to death and death. CKD stages 1-4 patients from the KoreaN Cohort Study for Outcome in Patients With Chronic Kidney Disease cohort were included. Multivariable multi-state model analysis was performed to investigate the study outcomes associated with the five transitions. Among the 1502 patients (median age 54 years, male 61.3%), the overall prevalence of clinical events were: ESKD (22.6%), CVD (7.5%), death after ESKD (3.6%), death (3.3%) and death after CVD (1.2%). Patients who experienced intermediate ESKD event had higher risk of death than those who experienced CVD event (10-year cumulative hazard: 0.35; 95% CI: 0.23, 0.48 vs. 0.27; 95% CI: 0.15, 0.40). The 10-year transition probability was highest for enrollment to ESKD (0.27; 95% CI: (0.23, 0.31)) followed by enrollment to CVD (0.08; 95% CI: 0.07, 0.10). Different clinical risk factors were associated with each of the five transitions. Patients who experienced intermediate ESKD event were more exposed to death risk than those who experienced CVD and the highest 10-year progression probability was for enrollment to ESKD followed by death after ESKD. Different risk factors were associated with varying transitions. These findings correlate with the distinctive clinical features of Korean CKD patients.
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Affiliation(s)
- Ji Hye Kim
- Department of Internal Medicine, Chungbuk National University College of Medicine and Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Jinheum Kim
- Department of Applied Statistics, University of Suwon, Hwaseong, Republic of Korea.
| | - Jayoun Kim
- Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Ji Yong Jung
- Department of Internal Medicine, Gil Medical Center, Gachon University, Incheon, Republic of Korea
| | - Jong Cheol Jeong
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Seung Hyeok Han
- Department of Internal Medicine, College of Medicine, Institute of Kidney Disease Research, Yonsei University, Seoul, Republic of Korea
| | - Kook-Hwan Oh
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080, Seoul, Republic of Korea.
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3
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Cifuentes M, Verdejo HE, Castro PF, Corvalan AH, Ferreccio C, Quest AFG, Kogan MJ, Lavandero S. Low-Grade Chronic Inflammation: a Shared Mechanism for Chronic Diseases. Physiology (Bethesda) 2025; 40:0. [PMID: 39078396 DOI: 10.1152/physiol.00021.2024] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 06/25/2024] [Accepted: 07/17/2024] [Indexed: 07/31/2024] Open
Abstract
Inflammation is an important physiological response of the organism to restore homeostasis upon pathogenic or damaging stimuli. However, the persistence of the harmful trigger or a deficient resolution of the process can evolve into a state of low-grade, chronic inflammation. This condition is strongly associated with the development of several increasingly prevalent and serious chronic conditions, such as obesity, cancer, and cardiovascular diseases, elevating overall morbidity and mortality worldwide. The current pandemic of chronic diseases underscores the need to address chronic inflammation, its pathogenic mechanisms, and potential preventive measures to limit its current widespread impact. The present review discusses the current knowledge and research gaps regarding the association between low-grade chronic inflammation and chronic diseases, focusing on obesity, cardiovascular diseases, digestive diseases, and cancer. We examine the state of the art in selected aspects of the topic and propose future directions and approaches for the field.
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Affiliation(s)
- Mariana Cifuentes
- Advanced Center for Chronic Diseases (ACCDiS), Facultad Ciencias Quimicas y Farmaceuticas, Facultad Medicina & Instituto de Nutricion y Tecnología de los Alimentos (INTA), Universidad de Chile, Santiago, Chile
- OMEGA Laboratory, Instituto de Nutricion y Tecnología de los Alimentos (INTA), Universidad de Chile, Santiago, Chile
| | - Hugo E Verdejo
- Advanced Center for Chronic Diseases (ACCDiS), Facultad Medicina, Pontificia Universidad Catolica de Chile, Santiago, Chile
- Division of Cardiovascular Diseases, Facultad Medicina, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - Pablo F Castro
- Advanced Center for Chronic Diseases (ACCDiS), Facultad Medicina, Pontificia Universidad Catolica de Chile, Santiago, Chile
- Division of Cardiovascular Diseases, Facultad Medicina, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - Alejandro H Corvalan
- Advanced Center for Chronic Diseases (ACCDiS), Facultad Medicina, Pontificia Universidad Catolica de Chile, Santiago, Chile
- Department of Hematology and Oncology, Facultad Medicina, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - Catterina Ferreccio
- Advanced Center for Chronic Diseases (ACCDiS), Facultad Medicina, Pontificia Universidad Catolica de Chile, Santiago, Chile
- Department of Public Health, Facultad Medicina, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - Andrew F G Quest
- Advanced Center for Chronic Diseases (ACCDiS), Facultad Ciencias Quimicas y Farmaceuticas, Facultad Medicina & Instituto de Nutricion y Tecnología de los Alimentos (INTA), Universidad de Chile, Santiago, Chile
- Center for Studies on Exercise, Metabolism and Cancer (CEMC), Instituto de Ciencias Biomedicas (ICBM), Facultad Medicina, Universidad de Chile, Santiago, Chile
| | - Marcelo J Kogan
- Advanced Center for Chronic Diseases (ACCDiS), Facultad Ciencias Quimicas y Farmaceuticas, Facultad Medicina & Instituto de Nutricion y Tecnología de los Alimentos (INTA), Universidad de Chile, Santiago, Chile
- Department of Pharmacological & Toxicological Chemistry, Facultad Ciencias Quimicas y Farmaceuticas, Universidad de Chile, Santiago, Chile
| | - Sergio Lavandero
- Advanced Center for Chronic Diseases (ACCDiS), Facultad Ciencias Quimicas y Farmaceuticas, Facultad Medicina & Instituto de Nutricion y Tecnología de los Alimentos (INTA), Universidad de Chile, Santiago, Chile
- Center for Studies on Exercise, Metabolism and Cancer (CEMC), Instituto de Ciencias Biomedicas (ICBM), Facultad Medicina, Universidad de Chile, Santiago, Chile
- Department of Biochemistry & Molecular Biology, Facultad Ciencias Quimicas y Farmaceuticas, Universidad de Chile, Santiago, Chile
- Department of Internal Medicine (Cardiology), University of Texas Southwestern Medical Center, Dallas, Texas, United States
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Imai Y, Kusano K, Aiba T, Ako J, Asano Y, Harada-Shiba M, Kataoka M, Kosho T, Kubo T, Matsumura T, Minamino T, Minatoya K, Morita H, Nishigaki M, Nomura S, Ogino H, Ohno S, Takamura M, Tanaka T, Tsujita K, Uchida T, Yamagishi H, Ebana Y, Fujita K, Ida K, Inoue S, Ito K, Kuramoto Y, Maeda J, Matsunaga K, Neki R, Sugiura K, Tada H, Tsuji A, Yamada T, Yamaguchi T, Yamamoto E, Kimura A, Kuwahara K, Maemura K, Minamino T, Morisaki H, Tokunaga K. JCS/JCC/JSPCCS 2024 Guideline on Genetic Testing and Counseling in Cardiovascular Disease. Circ J 2024; 88:2022-2099. [PMID: 39343605 DOI: 10.1253/circj.cj-23-0926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/01/2024]
Affiliation(s)
- Yasushi Imai
- Division of Clinical Pharmacology and Division of Cardiovascular Medicine, Jichi Medical University
| | - Kengo Kusano
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
| | - Takeshi Aiba
- Department of Clinical Laboratory Medicine and Genetics, National Cerebral and Cardiovascular Center
| | - Junya Ako
- Department of Cardiovascular Medicine, Kitasato University School of Medicine
| | - Yoshihiro Asano
- Department of Genomic Medicine, National Cerebral and Cardiovascular Center
| | | | - Masaharu Kataoka
- The Second Department of Internal Medicine, University of Occupational and Environmental Health
| | - Tomoki Kosho
- Department of Medical Genetics, Shinshu University School of Medicine
| | - Toru Kubo
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
| | - Takayoshi Matsumura
- Division of Human Genetics, Center for Molecular Medicine, Jichi Medical University
| | - Tetsuo Minamino
- Department of Cardiorenal and Cerebrovascular Medicine, Faculty of Medicine, Kagawa University
| | - Kenji Minatoya
- Department of Cardiovascular Surgery, Graduate School of Medicine, Kyoto University
| | - Hiroyuki Morita
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Masakazu Nishigaki
- Department of Genetic Counseling, International University of Health and Welfare
| | - Seitaro Nomura
- Department of Frontier Cardiovascular Science, Graduate School of Medicine, The University of Tokyo
| | | | - Seiko Ohno
- Medical Genome Center, National Cerebral and Cardiovascular Center
| | - Masayuki Takamura
- Department of Cardiovascular Medicine, Kanazawa University Graduate School of Medical Sciences
| | - Toshihiro Tanaka
- Department of Human Genetics and Disease Diversity, Tokyo Medical and Dental University
| | - Kenichi Tsujita
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University
| | - Tetsuro Uchida
- Department of Surgery II (Division of Cardiovascular, Thoracic and Pediatric Surgery), Yamagata University Faculty of Medicine
| | | | - Yusuke Ebana
- Life Science and Bioethics Research Center, Tokyo Medical and Dental University Hospital
| | - Kanna Fujita
- Department of Cardiovascular Medicine, The University of Tokyo Hospital
- Department of Computational Diagnostic Radiology and Preventive Medicine, Graduate School of Medicine, The University of Tokyo
| | - Kazufumi Ida
- Division of Counseling for Medical Genetics, National Cerebral and Cardiovascular Center
| | - Shunsuke Inoue
- Department of Cardiovascular Medicine, The University of Tokyo Hospital
| | - Kaoru Ito
- Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences
| | - Yuki Kuramoto
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
| | - Jun Maeda
- Department of Cardiology, Tokyo Metropolitan Children's Medical Center
| | - Keiji Matsunaga
- Department of Cardiorenal and Cerebrovascular Medicine, Faculty of Medicine, Kagawa University
| | - Reiko Neki
- Division of Counseling for Medical Genetics, Department of Obstetrics and Gynecology, National Cerebral and Cardiovascular Center
| | - Kenta Sugiura
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
| | - Hayato Tada
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kanazawa University
| | - Akihiro Tsuji
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
| | | | | | | | - Akinori Kimura
- Institutional Research Office, Tokyo Medical and Dental University
| | - Koichiro Kuwahara
- Department of Cardiovascular Medicine, Shinshu University School of Medicine
| | - Koji Maemura
- Department of Cardiovascular Medicine, Nagasaki University Graduate School of Biomedical Sciences
| | - Tohru Minamino
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine
| | | | - Katsushi Tokunaga
- Genome Medical Science Project, National Center for Global Health and Medicine
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5
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Aherrahrou R, Reinberger T, Hashmi S, Erdmann J. GWAS breakthroughs: mapping the journey from one locus to 393 significant coronary artery disease associations. Cardiovasc Res 2024; 120:1508-1530. [PMID: 39073758 DOI: 10.1093/cvr/cvae161] [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: 01/27/2024] [Revised: 03/20/2024] [Accepted: 06/12/2024] [Indexed: 07/30/2024] Open
Abstract
Coronary artery disease (CAD) poses a substantial threat to global health, leading to significant morbidity and mortality worldwide. It has a significant genetic component that has been studied through genome-wide association studies (GWAS) over the past 17 years. These studies have made progress with larger sample sizes, diverse ancestral backgrounds, and the discovery of multiple genomic regions related to CAD risk. In this review, we provide a comprehensive overview of CAD GWAS, including information about the genetic makeup of the disease and the importance of ethnic diversity in these studies. We also discuss challenges of identifying causal genes and variants within GWAS loci with a focus on non-coding regions. Additionally, we highlight tissues and cell types relevant to CAD, and discuss clinical implications of GWAS findings including polygenic risk scores, sex-specific differences in CAD genetics, ethnical aspects of personalized interventions, and GWAS guided drug development.
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Affiliation(s)
- Rédouane Aherrahrou
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70211 Kuopio, Finland
- Institute for Cardiogenetics, University of Lübeck, Marie-Curie-Str. Haus 67/BMF, 23562 Lübeck, Germany
- DZHK (German Centre for Cardiovascular Research), Institute for Cardiogenetics, Universität zu Lübeck, Partner Site Hamburg/Kiel/Lübeck, Germany
- University Heart Centre Lübeck, University Hospital Schleswig-Holstein, Ratzeburger Allee 160, 23562 Lübeck, Germany
| | - Tobias Reinberger
- Institute for Cardiogenetics, University of Lübeck, Marie-Curie-Str. Haus 67/BMF, 23562 Lübeck, Germany
- DZHK (German Centre for Cardiovascular Research), Institute for Cardiogenetics, Universität zu Lübeck, Partner Site Hamburg/Kiel/Lübeck, Germany
- University Heart Centre Lübeck, University Hospital Schleswig-Holstein, Ratzeburger Allee 160, 23562 Lübeck, Germany
| | - Satwat Hashmi
- Department of Biological and Biomedical Sciences, Aga Khan University, Stadium Road, 74800 Karachi, Pakistan
| | - Jeanette Erdmann
- Institute for Cardiogenetics, University of Lübeck, Marie-Curie-Str. Haus 67/BMF, 23562 Lübeck, Germany
- DZHK (German Centre for Cardiovascular Research), Institute for Cardiogenetics, Universität zu Lübeck, Partner Site Hamburg/Kiel/Lübeck, Germany
- University Heart Centre Lübeck, University Hospital Schleswig-Holstein, Ratzeburger Allee 160, 23562 Lübeck, Germany
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6
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Lee M, Park T, Shin JY, Park M. A comprehensive multi-task deep learning approach for predicting metabolic syndrome with genetic, nutritional, and clinical data. Sci Rep 2024; 14:17851. [PMID: 39090161 PMCID: PMC11294629 DOI: 10.1038/s41598-024-68541-1] [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: 02/26/2024] [Accepted: 07/24/2024] [Indexed: 08/04/2024] Open
Abstract
Metabolic syndrome (MetS) is a complex disorder characterized by a cluster of metabolic abnormalities, including abdominal obesity, hypertension, elevated triglycerides, reduced high-density lipoprotein cholesterol, and impaired glucose tolerance. It poses a significant public health concern, as individuals with MetS are at an increased risk of developing cardiovascular diseases and type 2 diabetes. Early and accurate identification of individuals at risk for MetS is essential. Various machine learning approaches have been employed to predict MetS, such as logistic regression, support vector machines, and several boosting techniques. However, these methods use MetS as a binary status and do not consider that MetS comprises five components. Therefore, a method that focuses on these characteristics of MetS is needed. In this study, we propose a multi-task deep learning model designed to predict MetS and its five components simultaneously. The benefit of multi-task learning is that it can manage multiple tasks with a single model, and learning related tasks may enhance the model's predictive performance. To assess the efficacy of our proposed method, we compared its performance with that of several single-task approaches, including logistic regression, support vector machine, CatBoost, LightGBM, XGBoost and one-dimensional convolutional neural network. For the construction of our multi-task deep learning model, we utilized data from the Korean Association Resource (KARE) project, which includes 352,228 single nucleotide polymorphisms (SNPs) from 7729 individuals. We also considered lifestyle, dietary, and socio-economic factors that affect chronic diseases, in addition to genomic data. By evaluating metrics such as accuracy, precision, F1-score, and the area under the receiver operating characteristic curve, we demonstrate that our multi-task learning model surpasses traditional single-task machine learning models in predicting MetS.
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Affiliation(s)
- Minhyuk Lee
- Department of Statistics, Korea University, Seoul, Republic of Korea
| | - Taesung Park
- Department of Statistics, Seoul National University, Seoul, Republic of Korea
| | - Ji-Yeon Shin
- Department of Preventive Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
| | - Mira Park
- Department of Preventive Medicine, School of Medicine, Eulji University, Daejeon, Republic of Korea.
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7
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Voorhies K, Young K, Hsu FC, Palmer ND, McDonald MLN, Lee S, Hahn G, Hecker J, Prokopenko D, Wu AC, Regan EA, DeMeo D, Kinney GL, Crapo JD, Cho MH, Silverman EK, Lange C, Budoff MJ, Hokanson JE, Lutz SM. Association of PHACTR1 with Coronary Artery Calcium Differs by Sex and Cigarette Smoking. J Cardiovasc Dev Dis 2024; 11:194. [PMID: 39057616 PMCID: PMC11276683 DOI: 10.3390/jcdd11070194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 06/22/2024] [Accepted: 06/24/2024] [Indexed: 07/28/2024] Open
Abstract
Background: Coronary artery calcium (CAC) is a marker of subclinical atherosclerosis and is a complex heritable trait with both genetic and environmental risk factors, including sex and smoking. Methods: We performed genome-wide association (GWA) analyses for CAC among all participants and stratified by sex in the COPDGene study (n = 6144 participants of European ancestry and n = 2589 participants of African ancestry) with replication in the Diabetes Heart Study (DHS). We adjusted for age, sex, current smoking status, BMI, diabetes, self-reported high blood pressure, self-reported high cholesterol, and genetic ancestry (as summarized by principal components computed within each racial group). For the significant signals from the GWA analyses, we examined the single nucleotide polymorphism (SNP) by sex interactions, stratified by smoking status (current vs. former), and tested for a SNP by smoking status interaction on CAC. Results: We identified genome-wide significant associations for CAC in the chromosome 9p21 region [CDKN2B-AS1] among all COPDGene participants (p = 7.1 × 10-14) and among males (p = 1.0 × 10-9), but the signal was not genome-wide significant among females (p = 6.4 × 10-6). For the sex stratified GWA analyses among females, the chromosome 6p24 region [PHACTR1] had a genome-wide significant association (p = 4.4 × 10-8) with CAC, but this signal was not genome-wide significant among all COPDGene participants (p = 1.7 × 10-7) or males (p = 0.03). There was a significant interaction for the SNP rs9349379 in PHACTR1 with sex (p = 0.02), but the interaction was not significant for the SNP rs10757272 in CDKN2B-AS1 with sex (p = 0.21). In addition, PHACTR1 had a stronger association with CAC among current smokers (p = 6.2 × 10-7) than former smokers (p = 7.5 × 10-3) and the SNP by smoking status interaction was marginally significant (p = 0.03). CDKN2B-AS1 had a strong association with CAC among both former (p = 7.7 × 10-8) and current smokers (p = 1.7 × 10-7) and the SNP by smoking status interaction was not significant (p = 0.40). Conclusions: Among current and former smokers of European ancestry in the COPDGene study, we identified a genome-wide significant association in the chromosome 6p24 region [PHACTR1] with CAC among females, but not among males. This region had a significant SNP by sex and SNP by smoking interaction on CAC.
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Affiliation(s)
- Kirsten Voorhies
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02115, USA
| | - Kendra Young
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA
| | - Merry-Lynn N. McDonald
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35212, USA
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Sanghun Lee
- Division of Medicine, Department of Medical Consilience, Graduate School, Dankook University, Yongin 16890, Republic of Korea
| | - Georg Hahn
- Brigham and Women’s Hospital, Division of Pharmacoepidemiology and Pharmacoeconomics, and Department of Medicine, Harvard Medical School, Boston, MA 02120, USA
| | - Julian Hecker
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Dmitry Prokopenko
- Genetics and Aging Research Unit and the McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Ann Chen Wu
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02115, USA
| | | | - Dawn DeMeo
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Greg L. Kinney
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - James D. Crapo
- Department of Medicine, National Jewish Health, Denver, CO 80206, USA
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Christoph Lange
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Matthew J. Budoff
- Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - John E. Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Sharon M. Lutz
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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8
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Ojeda-Granados C, Campisi E, Barchitta M, Agodi A. Genetic, lifestyle and metabolic factors contributing to cardiovascular disease in the Italian population: a literature review. Front Nutr 2024; 11:1379785. [PMID: 38638292 PMCID: PMC11024791 DOI: 10.3389/fnut.2024.1379785] [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: 01/31/2024] [Accepted: 03/22/2024] [Indexed: 04/20/2024] Open
Abstract
Cardiovascular diseases (CVD) represent a major health problem worldwide. In Italy, despite the decline in CVD mortality and disability-adjusted life years recently observed, CVD remains the leading cause of death. The development of CVD has a complex and multifactorial etiology that involves environmental, lifestyle/behavioral (e.g., unhealthy diet, physical inactivity, smoking, and alcohol abuse), metabolic, and genetic factors. Although a large number of CVD susceptibility genetic variants have been identified, some seem to confer risk according to the genetic background or ethnicity of the population. Some CVD-associated polymorphisms with appreciable frequency in the Italian population may be important contributors to the development and progression of the most prevalent CVD in the population. This literature review aims to provide an overview of the epidemiology of CVD in Italy, as well as to highlight the main genetic, lifestyle/behavioral, and metabolic factors contributing to CVD risk in this population.
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Affiliation(s)
- Claudia Ojeda-Granados
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, Catania, Italy
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Pepin ME, Gupta RM. The Role of Endothelial Cells in Atherosclerosis: Insights from Genetic Association Studies. THE AMERICAN JOURNAL OF PATHOLOGY 2024; 194:499-509. [PMID: 37827214 PMCID: PMC10988759 DOI: 10.1016/j.ajpath.2023.09.012] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 08/21/2023] [Accepted: 09/01/2023] [Indexed: 10/14/2023]
Abstract
Endothelial cells (ECs) mediate several biological functions that are relevant to atherosclerosis and coronary artery disease (CAD), regulating an array of vital processes including vascular tone, wound healing, reactive oxygen species, shear stress response, and inflammation. Although which of these functions is linked causally with CAD development and/or progression is not yet known, genome-wide association studies have implicated more than 400 loci associated with CAD risk, among which several have shown EC-relevant functions. Given the arduous process of mechanistically interrogating single loci to CAD, high-throughput variant characterization methods, including pooled Clustered Regularly Interspaced Short Palindromic Repeats screens, offer exciting potential to rapidly accelerate the discovery of bona fide EC-relevant genetic loci. These discoveries in turn will broaden the therapeutic avenues for CAD beyond lipid lowering and behavioral risk modification to include EC-centric modalities of risk prevention and treatment.
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Affiliation(s)
- Mark E Pepin
- Cardiovascular Disease Initiative, The Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts; Divisions of Genetics and Cardiovascular Medicine, Brigham & Women's Hospital, Boston, Massachusetts
| | - Rajat M Gupta
- Cardiovascular Disease Initiative, The Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts; Divisions of Genetics and Cardiovascular Medicine, Brigham & Women's Hospital, Boston, Massachusetts.
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10
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Kobayashi Y, Yatsu K, Haruna A, Kawano R, Ozawa M, Haze T, Komiya S, Suzuki S, Ohki Y, Fujiwara A, Saka S, Hirawa N, Toya Y, Tamura K. ATP2B1 gene polymorphisms associated with resistant hypertension in the Japanese population. J Clin Hypertens (Greenwich) 2024; 26:355-362. [PMID: 38430457 PMCID: PMC11007809 DOI: 10.1111/jch.14785] [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: 11/03/2023] [Revised: 02/07/2024] [Accepted: 02/11/2024] [Indexed: 03/03/2024]
Abstract
Single-nucleotide polymorphisms (SNP) of ATP2B1 gene are associated with essential hypertension but their association with resistant hypertension (RHT) remains unexplored. The authors examined the relationship between ATP2B1 SNPs and RHT by genotyping 12 SNPs in ATP2B1 gene of 1124 Japanese individuals with lifestyle-related diseases. Patients with RHT had inadequate blood pressure (BP) control using three antihypertensive drugs or used ≥4 antihypertensive drugs. Patients with controlled hypertension had BP controlled using ≤3 antihypertensive drugs. The association between each SNP and RHT was analyzed by logistic regression. The final cohort had 888 (79.0%) and 43 (3.8%) patients with controlled hypertension and RHT, respectively. Compared with patients homozygous for the minor allele of each SNP in ATP2B1, a significantly higher number of patients carrying the major allele at 10 SNPs exhibited RHT (most significant at rs1401982: 5.8% vs. 0.8%, p = .014; least significant at rs11105378: 5.7% vs. 0.9%, p = .035; most nonsignificant at rs12817819: 5.1% vs. 10%, p = .413). After multivariate adjustment for age, sex, systolic BP, and other confounders, the association remained significant for rs2681472 and rs1401982 (OR: 7.60, p < .05 and OR: 7.62, p = .049, respectively). Additionally, rs2681472 and rs1401982 were in linkage disequilibrium with rs11105378. This study identified two ATP2B1 SNPs associated with RHT in the Japanese population. rs1401982 was most closely associated with RHT, and major allele carriers of rs1401982 required significantly more antihypertensive medications. Analysis of ATP2B1 SNPs in patients with hypertension can help in early prediction of RHT and identification of high-risk patients who are more likely to require more antihypertensive medications.
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Affiliation(s)
- Yusuke Kobayashi
- Center for Novel and Exploratory Clinical Trials (Y‐NEXT)Yokohama City UniversityYokohamaJapan
- Department of Medical Science and Cardiorenal MedicineYokohama City University Graduate School of MedicineYokohamaJapan
| | | | - Aiko Haruna
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Rina Kawano
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Moe Ozawa
- Department of Medical Science and Cardiorenal MedicineYokohama City University Graduate School of MedicineYokohamaJapan
- Department of Nephrology and HypertensionSaiseikai Yokohamashi Nanbu HospitalYokohamaJapan
| | - Tatsuya Haze
- Center for Novel and Exploratory Clinical Trials (Y‐NEXT)Yokohama City UniversityYokohamaJapan
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Shiro Komiya
- Department of Nephrology and HypertensionSaiseikai Yokohamashi Nanbu HospitalYokohamaJapan
| | - Shota Suzuki
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Yuki Ohki
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Akira Fujiwara
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Sanae Saka
- Department of Nephrology and HypertensionSaiseikai Yokohamashi Nanbu HospitalYokohamaJapan
| | - Nobuhito Hirawa
- Department of Nephrology and HypertensionYokohama City University Medical CenterYokohamaJapan
| | - Yoshiyuki Toya
- Department of Medical Science and Cardiorenal MedicineYokohama City University Graduate School of MedicineYokohamaJapan
| | - Kouichi Tamura
- Department of Medical Science and Cardiorenal MedicineYokohama City University Graduate School of MedicineYokohamaJapan
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11
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Zhao K, Shen X, Liu H, Lin Z, Li J, Chen S, Liu F, Huang K, Cao J, Liu X, Shen C, Yu L, Zhao Y, Zhao L, Li Y, Hu D, Huang J, Lu X, Gu D. Somatic and Germline Variants and Coronary Heart Disease in a Chinese Population. JAMA Cardiol 2024; 9:233-242. [PMID: 38198131 PMCID: PMC10782380 DOI: 10.1001/jamacardio.2023.5095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 10/03/2023] [Indexed: 01/11/2024]
Abstract
Importance The genetic basis of coronary heart disease (CHD) has expanded from a germline to somatic genome, including clonal hematopoiesis of indeterminate potential (CHIP). How CHIP confers CHD risk in East Asian individuals, especially those with small clones (variant allele fraction [VAF] 0.5%-2%) and different genetic backgrounds, was completely unknown. Objective To investigate the CHIP profile in a general Chinese cohort by deep sequencing and further explore the association between CHIP and incident CHD considering germline predisposition. Design, Setting, and Participants This cohort study used data from 3 prospective cohorts in the project Prediction for Atherosclerotic Cardiovascular Disease Risk in China. Participants without cardiovascular disease or cancer at baseline were enrolled in 2001 and 2008 and had a median follow-up of 12.17 years extending into 2021. Exposures CHIP mutations were detected by targeted sequencing (mean depth, 916×). A predefined CHD polygenic risk score (PRS) comprising 531 variants was used to evaluate germline predisposition. Main Outcomes and Measures The main outcome was first incident CHD. Results Among 6181 participants, the median (IQR) age was 53.83 years (45.35-62.39 years); 3082 participants (49.9%) were female, and 3099 (50.1%) were male. A total of 1100 individuals (17.80%) harbored 1372 CHIP mutations at baseline. CHIP was independently associated with incident CHD (hazard ratio [HR], 1.42; 95% CI, 1.18-1.72; P = 2.82 × 10-4) and presented a risk gradient with increasing VAF (P = 3.98 × 10-3 for trend). Notably, individuals with small clones, nearly half of CHIP carriers, also demonstrated a higher CHD risk compared with non-CHIP carriers (HR, 1.33; 95% CI, 1.02-1.74; P = .03) and were 4 years younger than those with VAF of 2% or greater (median age, 58.52 vs 62.70 years). Heightened CHD risk was not observed among CHIP carriers with low PRS (HR, 1.02; 95% CI, 0.64-1.64; P = .92), while high PRS and CHIP jointly contributed a 2.23-fold increase in risk (95% CI, 1.51-3.29; P = 6.29 × 10-5) compared with non-CHIP carriers with low PRS. Interestingly, the diversity in CHIP-related CHD risk within each PRS group was substantially diminished when removing variants in the inflammatory pathway from the PRS. Conclusions This study revealed that elevated CHD risk attributed to CHIP was nonnegligible even for small clones. Inflammation genes involved in CHD could aggravate or abrogate CHIP-related CHD risk.
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Affiliation(s)
- Kun Zhao
- 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 and Peking Union Medical College, Beijing, China
| | - Xuxiang Shen
- 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 and Peking Union Medical College, Beijing, China
| | - Hongwei Liu
- 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 and Peking Union Medical College, Beijing, China
| | - Zhennan Lin
- 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 and Peking Union Medical College, Beijing, China
| | - Jianxin 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 and Peking Union Medical College, Beijing, China
| | - Shufeng Chen
- 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 and Peking Union Medical College, Beijing, China
| | - Fangchao Liu
- 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 and Peking Union Medical College, Beijing, China
| | - Keyong Huang
- 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 and Peking Union Medical College, Beijing, China
| | - Jie Cao
- 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 and Peking Union Medical College, Beijing, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People’s Hospital and Cardiovascular Institute, Guangzhou, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou, China
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, China
| | - Liancheng Zhao
- 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 and Peking Union Medical College, Beijing, China
| | - Ying 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 and Peking Union Medical College, Beijing, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Jiangfeng Huang
- 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 and Peking Union Medical College, Beijing, China
| | - Xiangfeng Lu
- 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 and Peking Union Medical College, Beijing, China
| | - Dongfeng Gu
- 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 and Peking Union Medical College, Beijing, China
- School of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, Shenzhen, China
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12
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Yang W, Li X, Li X, Hu B, Xu S, Zhang H, Wang Y, Jin T, He Y. Impact of missense TSBP1 variants on the susceptibility to coronary heart disease. Gene 2024; 896:148042. [PMID: 38042215 DOI: 10.1016/j.gene.2023.148042] [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: 09/06/2023] [Revised: 11/17/2023] [Accepted: 11/27/2023] [Indexed: 12/04/2023]
Abstract
BACKGROUND A genome-wide association study has recognized C6orf10-BTNL2 polymorphism in coronary artery disease. The goal of this study was to explore the potential correlation of nine missense TSBP1 variants with coronary heart disease (CHD) risk in the Chinese Han population. METHODS Nine TSBP1 missense single nucleotide polymorphisms (SNPs) were selected for genotyping by the Agena MassARRAY platform. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to analyze the contribution of TSBP1 SNPs to CHD predisposition by logistic regression models adjusted by age, sex, drinking, and smoking. The correlation of TSBP1 variants with clinical data in CHD patients was examined by Kruskal-Wallis test. RESULTS rs9268368-C (p = 0.039, OR = 1.18, 95 % CI: 1.01-1.38) was related to an increased risk of CHD, while rs3749966-C (p = 0.032, OR = 0.49, 95 % CI: 0.25-0.96) and rs3129941-A (p = 0.011, OR = 0.74, 95 % CI: 0.59-0.93) might be protective factors against CHD occurrence in the Chinese Han population. We also observed the effects of demographic characteristics (age, sex, alcohol consumption, and smoking) and complications (hypertension and diabetes) on the interactive association of TSBP1 polymorphisms with CHD susceptibility. rs139993810 was related to the levels of high-density lipoprotein cholesterol (HDL-C, p = 0.030). CONCLUSIONS Our findings determined the association of TSBP1 rs9268368, rs3749966, and rs3129941 with CHD occurrence in the Chinese Han population, and highlighted the influence of demographic characteristics and complications on the interactive association of TSBP1 polymorphisms with CHD risk.
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Affiliation(s)
- Wei Yang
- Department of Emergency, the Affiliated Hospital of Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Xuguang Li
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Xuemei Li
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Baoping Hu
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Department of Anesthesia, the Affiliated Hospital of Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Shilin Xu
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Department of Clinical Laboratory, the Affiliated Hospital of Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Hengxun Zhang
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Department of Healthcare, the Affiliated Hospital of Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Yuhe Wang
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Department of Clinical Laboratory, the Affiliated Hospital of Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Tianbo Jin
- School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China.
| | - Yongjun He
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China; Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang 712082, Shaanxi, China.
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13
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Hu C, Huang K, Cai C, Liu F, Li J, Hu D, Zhao Y, Liu X, Cao J, Chen S, Li H, Yu L, Li Y, Shen C, Huang J, Gu D, Lu X. Genetic Predisposition, Sedentary Behavior, and Incident Coronary Artery Disease: A Prospective Chinese Cohort Study. Med Sci Sports Exerc 2024; 56:103-109. [PMID: 37703277 DOI: 10.1249/mss.0000000000003277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
PURPOSE Whether the association of sedentary behaviors with coronary artery disease (CAD) can be influenced by genetic susceptibility remains unclear. We aimed to investigate the joint and interplay effects between genetic risk and sedentary time (ST) and to further explore the extent to which the risk for CAD can be counteracted by reducing ST in different genetic groups. METHODS This prospective cohort study included 39,164 Chinese adults without CAD history. Genetic susceptibility was quantified by a predefined polygenic risk score (PRS) with 540 genetic variants, and daily ST was assessed by questionnaire. We analyzed the modification effect of genetic risk on the association of ST with CAD using the Cox proportional hazards models. RESULTS During a median follow-up of 11.60 yr, 1156 CAD events were documented. Higher ST and PRS were separately related to elevated CAD risk. Significant additive interaction was also observed (relative excess risk due to interaction: 0.77; 95% confidence interval [CI] = 0.27-1.28). Compared with participants with low genetic risk and low ST (<6 h·d -1 ), those with high genetic risk and high ST (≥10 h·d -1 ) had the highest CAD risk, with the hazard ratio (HR) and 95% CI of 4.22 (2.65-6.71). When stratified by genetic risks, participants with high ST had gradient increment of CAD risks across low, intermediate, and high genetic risk groups, with HR (95% CI) values of 1.21 (0.61-2.40), 1.57 (1.14-2.16), and 2.15 (1.40-3.31), respectively. For the absolute risk reduction, individuals with high genetic risk achieved the greatest benefit from low ST ( Ptrend = 0.024). CONCLUSIONS Genetic susceptibility may synergistically interact with ST to increase CAD risk. Reducing ST could attenuate the CAD risk, especially among individuals with high genetic risk.
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Affiliation(s)
- Chunyu Hu
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Can Cai
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | | | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, CHINA
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou, CHINA
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Hongfan Li
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou, CHINA
| | - Ying Li
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | - Chong Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, CHINA
| | - Jianfeng Huang
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
| | | | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHINA
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14
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Al-Ali AK, Al-Rubaish AM, Alali RA, Almansori MS, Al-Jumaan MA, Alshehri AM, Al-Madan MS, Vatte C, Cherlin T, Young S, Verma SS, Morahan G, Koeleman BPC, Keating BJ. Uncovering myocardial infarction genetic signatures using GWAS exploration in Saudi and European cohorts. Sci Rep 2023; 13:21866. [PMID: 38072966 PMCID: PMC10711020 DOI: 10.1038/s41598-023-49105-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 12/04/2023] [Indexed: 12/18/2023] Open
Abstract
Genome-wide association studies (GWAS) have yielded significant insights into the genetic architecture of myocardial infarction (MI), although studies in non-European populations are still lacking. Saudi Arabian cohorts offer an opportunity to discover novel genetic variants impacting disease risk due to a high rate of consanguinity. Genome-wide genotyping (GWG), imputation and GWAS followed by meta-analysis were performed based on two independent Saudi Arabian studies comprising 3950 MI patients and 2324 non-MI controls. Meta-analyses were then performed with these two Saudi MI studies and the CardioGRAMplusC4D and UK BioBank GWAS as controls. Meta-analyses of the two Saudi MI studies resulted in 17 SNPs with genome-wide significance. Meta-analyses of all 4 studies revealed 66 loci with genome-wide significance levels of p < 5 × 10-8. All of these variants, except rs2764203, have previously been reported as MI-associated loci or to have high linkage disequilibrium with known loci. One SNP association in Shisa family member 5 (SHISA5) (rs11707229) was evident at a much higher frequency in the Saudi MI populations (> 12% MAF). In conclusion, our results replicated many MI associations, whereas in Saudi-only GWAS (meta-analyses), several new loci were implicated that require future validation and functional analyses.
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Affiliation(s)
- Amein K Al-Ali
- Department of Clinical Biochemistry, College of Medicine, Imam Abdulrahman bin Faisal University, 3144, Dammam, Saudi Arabia.
| | - Abdullah M Al-Rubaish
- Department of Internal Medicine, King Fahd Hospital of the University, 34445, Al-Khobar, Saudi Arabia
- College of Medicine, Imam Abdulrahman bin Faisal University, 31441, Dammam, Saudi Arabia
| | - Rudaynah A Alali
- Department of Internal Medicine, King Fahd Hospital of the University, 34445, Al-Khobar, Saudi Arabia
- College of Medicine, Imam Abdulrahman bin Faisal University, 31441, Dammam, Saudi Arabia
| | - Mohammed S Almansori
- Department of Internal Medicine, King Fahd Hospital of the University, 34445, Al-Khobar, Saudi Arabia
- College of Medicine, Imam Abdulrahman bin Faisal University, 31441, Dammam, Saudi Arabia
| | - Mohammed A Al-Jumaan
- College of Medicine, Imam Abdulrahman bin Faisal University, 31441, Dammam, Saudi Arabia
- Department of Emergency Medicine, King Fahd Hospital of the University, 34445, Al-Khobar, Saudi Arabia
| | - Abdullah M Alshehri
- Department of Internal Medicine, King Fahd Hospital of the University, 34445, Al-Khobar, Saudi Arabia
- College of Medicine, Imam Abdulrahman bin Faisal University, 31441, Dammam, Saudi Arabia
| | - Mohammed S Al-Madan
- College of Medicine, Imam Abdulrahman bin Faisal University, 31441, Dammam, Saudi Arabia
- Department of Pediatrics, King Fahd Hospital of the University, 34445, Al-Khobar, Saudi Arabia
| | - ChittiBabu Vatte
- Department of Clinical Biochemistry, College of Medicine, Imam Abdulrahman bin Faisal University, 3144, Dammam, Saudi Arabia
| | - Tess Cherlin
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sylvia Young
- Centre for Diabetes Research, Harry Perkins Institute of Medical Research, University of Western Australia, Nedlands, 6009, Australia
| | - Shefali S Verma
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Grant Morahan
- Centre for Diabetes Research, Harry Perkins Institute of Medical Research, University of Western Australia, Nedlands, 6009, Australia
| | - Bobby P C Koeleman
- Department of Genetics, University Medical Center Utrecht, Utrecht, 85500/3508 GA, The Netherlands
| | - Brendan J Keating
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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15
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Silva S, Nitsch D, Fatumo S. Genome-wide association studies on coronary artery disease: A systematic review and implications for populations of different ancestries. PLoS One 2023; 18:e0294341. [PMID: 38019802 PMCID: PMC10686512 DOI: 10.1371/journal.pone.0294341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 10/28/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Cardiovascular diseases are some of the leading causes of death worldwide, with coronary artery disease leading as one of the primary causes of mortality in both the developing and developed worlds. Despite its prevalence, there is a disproportionately small number of studies conducted in populations of non-European ancestry, with the limited sample sizes of such studies further restricting the power and generalizability of respective findings. This research aimed at understanding the differences in the genetic architecture of coronary artery disease (CAD) in populations of diverse ancestries in order to contribute towards the understanding of the pathophysiology of coronary artery disease. METHODS We performed a systematic review on the 6th of October, 2022 summarizing genome-wide association studies on coronary artery disease, while employing the GWAS Catalog as an independent database to support the search. We developed a framework to assess the methodological quality of each study. We extracted and grouped associated single nucleotide polymorphisms and genes according to ancestry groups of participants. RESULTS We identified 3100 studies, of which, 36 relevant studies were included in this research. Three of the studies that were included were not listed in the GWAS Catalog, highlighting the value of conducting an independent search alongside established databases in order to ensure the full research landscape has been captured. 743,919 CAD case participants from 25 different countries were analysed, with 61% of the studies identified in this research conducted in populations of European ancestry. No studies investigated populations of Africans living in continental Africa or admixed American ancestry groups besides African-Americans, while limited sample sizes were included of population groups besides Europeans and East Asians. This observed disproportionate population representation highlights the gaps in the literature, which limits our ability to understand coronary artery disease as a global disease. 71 genetic loci were identified to be associated with coronary artery disease in more than one article, with ancestry-specific genetic loci identified in each respective population group which were not detected in studies of other ancestries. CONCLUSIONS Although the replication and validation of these variants are still warranted, these finding are indicative of the value of including diverse ancestry populations in GWAS reference panels, as a more comprehensive understanding of the genetic architecture and pathophysiology of CAD can be achieved.
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Affiliation(s)
- Sarah Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
- The African Computational Genomics (TACG) Research Group, MRC/UVRI, and LSHTM, Entebbe, Uganda
| | - Dorothea Nitsch
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Segun Fatumo
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
- The African Computational Genomics (TACG) Research Group, MRC/UVRI, and LSHTM, Entebbe, Uganda
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Xia X, Liu F, Huang K, Chen S, Li J, Cao J, Yang X, Liu X, Shen C, Yu L, Zhao Y, Zhao L, Li Y, Hu D, Huang J, Lu X, Gu D. Egg consumption and risk of coronary artery disease, potential amplification by high genetic susceptibility: a prospective cohort study. Am J Clin Nutr 2023; 118:773-781. [PMID: 37793743 DOI: 10.1016/j.ajcnut.2023.06.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 06/03/2023] [Accepted: 06/08/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Remarkable heterogeneity has been observed among population-based studies on egg consumption and risk of coronary artery disease (CAD). Whether genetic susceptibility serves as a potential explanation for this inconsistency remains unknown. OBJECTIVES We performed a prospective cohort study to investigate the association of egg consumption with incident CAD at different genetic susceptibilities. METHODS We included 34,111 participants without CAD at baseline from the project of Prediction for Atherosclerotic Cardiovascular Disease Risk in China. Egg consumption was assessed with food frequency questionnaires. Genetic susceptibility was quantified by a predefined polygenic risk score (PRS) with 540 genetic variants. The hazard ratio (HR) and 95% confidence interval (95% CI) of incident CAD associated with egg consumption and PRS were estimated using the Cox proportional hazards models. RESULTS Over a median 11.7 y of follow-up, 1,128 incident cases of CAD were recorded. Both higher egg consumption and increased PRS were related to higher risk of CAD. When stratified by genetic risk, each increment of 3 eggs/wk was associated with a 5% higher risk of CAD for participants at low to intermediate genetic risk (HR: 1.05; 95% CI: 1.01, 1.09), whereas risk increased to HR 1.10 (95% CI: 1.05, 1.16) for those at high genetic risk; a significant synergistic interaction was also indicated at both multiplicative (Pinteraction = 0.007) and additive (relative excess risk: 0.73; 95% CI: 0.24, 1.22) scales. When the joint effect was examined, in comparison with those at low to intermediate genetic risk and consuming <1 egg/wk, the HR (95% CI) was 2.95 (2.41, 3.62) for participants with high genetic risk and consumption of ≥10 eggs/wk, and the corresponding standardized 10-y CAD rates increased from 1.37% to 4.24%. CONCLUSIONS Genetic predisposition may synergistically interact with egg consumption in relation to increased CAD risk. PRS-stratified recommendations on egg consumption may help formulate personalized nutrition policies.
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Affiliation(s)
- Xue Xia
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shufeng Chen
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xueli Yang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou, China
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, China
| | - Liancheng Zhao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Jiangfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China.
| | - Dongfeng Gu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China; School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
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Monero-Paredes M, Feliu-Maldonado R, Carrasquillo-Carrion K, Gonzalez P, Rogozin IB, Roche-Lima A, Duconge J. Non-Random Enrichment of Single-Nucleotide Polymorphisms Associated with Clopidogrel Resistance within Risk Loci Linked to the Severity of Underlying Cardiovascular Diseases: The Role of Admixture. Genes (Basel) 2023; 14:1813. [PMID: 37761953 PMCID: PMC10531115 DOI: 10.3390/genes14091813] [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: 08/30/2023] [Revised: 09/14/2023] [Accepted: 09/14/2023] [Indexed: 09/29/2023] Open
Abstract
Cardiovascular disease (CVD) is one of the leading causes of death in Puerto Rico, where clopidogrel is commonly prescribed to prevent ischemic events. Genetic contributors to both a poor clopidogrel response and the severity of CVD have been identified mainly in Europeans. However, the non-random enrichment of single-nucleotide polymorphisms (SNPs) associated with clopidogrel resistance within risk loci linked to underlying CVDs, and the role of admixture, have yet to be tested. This study aimed to assess the possible interaction between genetic biomarkers linked to CVDs and those associated with clopidogrel resistance among admixed Caribbean Hispanics. We identified 50 SNPs significantly associated with CVDs in previous genome-wide association studies (GWASs). These SNPs were combined with another ten SNPs related to clopidogrel resistance in Caribbean Hispanics. We developed Python scripts to determine whether SNPs related to CVDs are in close proximity to those associated with the clopidogrel response. The average and individual local ancestry (LAI) within each locus were inferred, and 60 random SNPs with their corresponding LAIs were generated for enrichment estimation purposes. Our results showed no CVD-linked SNPs in close proximity to those associated with the clopidogrel response among Caribbean Hispanics. Consequently, no genetic loci with a dual predictive role for the risk of CVD severity and clopidogrel resistance were found in this population. Native American ancestry was the most enriched within the risk loci linked to CVDs in this population. The non-random enrichment of disease susceptibility loci with drug-response SNPs is a new frontier in Precision Medicine that needs further attention.
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Affiliation(s)
- Mariangeli Monero-Paredes
- Department of Pharmacology and Toxicology, School of Medicine, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico; (M.M.-P.); (P.G.)
| | - Roberto Feliu-Maldonado
- Research Centers in Minority Institutions Program, Center for Collaborative Research in Health Disparities, Academic Affairs Deanship, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico; (R.F.-M.); (K.C.-C.); (A.R.-L.)
| | - Kelvin Carrasquillo-Carrion
- Research Centers in Minority Institutions Program, Center for Collaborative Research in Health Disparities, Academic Affairs Deanship, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico; (R.F.-M.); (K.C.-C.); (A.R.-L.)
| | - Pablo Gonzalez
- Department of Pharmacology and Toxicology, School of Medicine, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico; (M.M.-P.); (P.G.)
| | - Igor B. Rogozin
- Computational Biology Branch, National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Rockville Pike MSC 3830, Bethesda, MD 20894, USA;
| | - Abiel Roche-Lima
- Research Centers in Minority Institutions Program, Center for Collaborative Research in Health Disparities, Academic Affairs Deanship, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico; (R.F.-M.); (K.C.-C.); (A.R.-L.)
| | - Jorge Duconge
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico
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Gupta R. Genetics-based risk scores for prediction of premature coronary artery disease. Indian Heart J 2023; 75:327-334. [PMID: 37633460 PMCID: PMC10568063 DOI: 10.1016/j.ihj.2023.08.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 07/24/2023] [Accepted: 08/20/2023] [Indexed: 08/28/2023] Open
Abstract
Premature coronary artery disease (CAD) is endemic in India. Global Burden of Diseases study has reported that it led to 286,000 deaths in 2019 in India. Many of these patients have standard risk factors but a third have none. Clinical risk algorithms and imaging provide limited risk information in premature CAD. CAD is multifactorial and studies have now focused on the predictive capability of clusters of genes and single nucleotide polymorphisms (SNPs) using gene risk score (GRS). Older studies combined data from 10 to 12 genes and 100-500 SNPs to calculate GRS, however, following the advent of genome-wide association studies (GWAS), millions of SNPs have been incorporated. Studies have reported that GWAS-based GRS may be more discriminative than conventional tools. Recent studies, especially among South Asians, have reported that GRS improves net reclassification by 15% (12-19%) for younger individuals. Aggressive lifestyle interventions and lipid-lowering therapies can ameliorate risk in high-GRS individuals and potentially prevent premature CAD.
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Affiliation(s)
- Rajeev Gupta
- Department of Preventive Cardiology & Medicine, Eternal Heart Care Centre & Research Institute, Jaipur, India.
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Jiang D, Liu H, Zhu G, Li X, Fan L, Zhao F, Xu C, Wang S, Rose Y, Rhen J, Yu Z, Yin Y, Gu Y, Xu X, Fisher EA, Ge J, Xu Y, Pang J. Endothelial PHACTR1 Promotes Endothelial Activation and Atherosclerosis by Repressing PPARγ Activity Under Disturbed Flow in Mice. Arterioscler Thromb Vasc Biol 2023; 43:e303-e322. [PMID: 37199156 PMCID: PMC10524336 DOI: 10.1161/atvbaha.122.318173] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 05/02/2023] [Indexed: 05/19/2023]
Abstract
BACKGROUND Numerous genome-wide association studies revealed that SNPs (single nucleotide polymorphisms) at the PHACTR1 (phosphatase and actin regulator 1) locus strongly correlate with coronary artery disease. However, the biological function of PHACTR1 remains poorly understood. Here, we identified the proatherosclerotic effect of endothelial PHACTR1, contrary to macrophage PHACTR1. METHODS We generated global (Phactr1-/-) and endothelial cell (EC)-specific (Phactr1ECKO) Phactr1 KO (knockout) mice and crossed these mice with apolipoprotein E-deficient (Apoe-/-) mice. Atherosclerosis was induced by feeding the high-fat/high-cholesterol diet for 12 weeks or partially ligating carotid arteries combined with a 2-week high-fat/high-cholesterol diet. PHACTR1 localization was identified by immunostaining of overexpressed PHACTR1 in human umbilical vein ECs exposed to different types of flow. The molecular function of endothelial PHACTR1 was explored by RNA sequencing using EC-enriched mRNA from global or EC-specific Phactr1 KO mice. Endothelial activation was evaluated in human umbilical vein ECs transfected with siRNA targeting PHACTR1 and in Phactr1ECKO mice after partial carotid ligation. RESULTS Global or EC-specific Phactr1 deficiency significantly inhibited atherosclerosis in regions of disturbed flow. PHACTR1 was enriched in ECs and located in the nucleus of disturbed flow areas but shuttled to cytoplasm under laminar flow in vitro. RNA sequencing showed that endothelial Phactr1 depletion affected vascular function, and PPARγ (peroxisome proliferator-activated receptor gamma) was the top transcription factor regulating differentially expressed genes. PHACTR1 functioned as a PPARγ transcriptional corepressor by binding to PPARγ through the corepressor motifs. PPARγ activation protects against atherosclerosis by inhibiting endothelial activation. Consistently, PHACTR1 deficiency remarkably reduced endothelial activation induced by disturbed flow in vivo and in vitro. PPARγ antagonist GW9662 abolished the protective effects of Phactr1 KO on EC activation and atherosclerosis in vivo. CONCLUSIONS Our results identified endothelial PHACTR1 as a novel PPARγ corepressor to promote atherosclerosis in disturbed flow regions. Endothelial PHACTR1 is a potential therapeutic target for atherosclerosis treatment.
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Affiliation(s)
- Dongyang Jiang
- Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China (D. J., H. L., G. Z., X. L., L. F., F. Z., C. X., Z. Y., Y. Y., J. G., Y. X.)
| | - Hao Liu
- Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China (D. J., H. L., G. Z., X. L., L. F., F. Z., C. X., Z. Y., Y. Y., J. G., Y. X.)
| | - Guofu Zhu
- Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China (D. J., H. L., G. Z., X. L., L. F., F. Z., C. X., Z. Y., Y. Y., J. G., Y. X.)
| | - Xiankai Li
- Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China (D. J., H. L., G. Z., X. L., L. F., F. Z., C. X., Z. Y., Y. Y., J. G., Y. X.)
| | - Linlin Fan
- Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China (D. J., H. L., G. Z., X. L., L. F., F. Z., C. X., Z. Y., Y. Y., J. G., Y. X.)
| | - Faxue Zhao
- Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China (D. J., H. L., G. Z., X. L., L. F., F. Z., C. X., Z. Y., Y. Y., J. G., Y. X.)
| | - Chong Xu
- Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China (D. J., H. L., G. Z., X. L., L. F., F. Z., C. X., Z. Y., Y. Y., J. G., Y. X.)
| | - Shumin Wang
- Aab Cardiovascular Research Institute, Department of Medicine and Dentistry, University of Rochester, Rochester, NY 14642, USA (S. W., Y. R., J. R., X. X., J. P.)
| | - Yara Rose
- Aab Cardiovascular Research Institute, Department of Medicine and Dentistry, University of Rochester, Rochester, NY 14642, USA (S. W., Y. R., J. R., X. X., J. P.)
| | - Jordan Rhen
- Aab Cardiovascular Research Institute, Department of Medicine and Dentistry, University of Rochester, Rochester, NY 14642, USA (S. W., Y. R., J. R., X. X., J. P.)
| | - Ze Yu
- Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China (D. J., H. L., G. Z., X. L., L. F., F. Z., C. X., Z. Y., Y. Y., J. G., Y. X.)
| | - Yiheng Yin
- Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China (D. J., H. L., G. Z., X. L., L. F., F. Z., C. X., Z. Y., Y. Y., J. G., Y. X.)
| | - Yuling Gu
- Shanghai Naturethink Life Science&Technology Co., Itd, Shanghai 201809, China (Y. G.)
| | - Xiangbin Xu
- Aab Cardiovascular Research Institute, Department of Medicine and Dentistry, University of Rochester, Rochester, NY 14642, USA (S. W., Y. R., J. R., X. X., J. P.)
| | - Edward A. Fisher
- Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, NY 10016, USA (E. A. F.)
| | - Junbo Ge
- Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China (D. J., H. L., G. Z., X. L., L. F., F. Z., C. X., Z. Y., Y. Y., J. G., Y. X.)
| | - Yawei Xu
- Department of Cardiology, Pan-vascular Research Institute, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China (D. J., H. L., G. Z., X. L., L. F., F. Z., C. X., Z. Y., Y. Y., J. G., Y. X.)
| | - Jinjiang Pang
- Aab Cardiovascular Research Institute, Department of Medicine and Dentistry, University of Rochester, Rochester, NY 14642, USA (S. W., Y. R., J. R., X. X., J. P.)
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Chung A, Reilly MP, Bauer RC. ADAMTS7: a Novel Therapeutic Target in Atherosclerosis. Curr Atheroscler Rep 2023; 25:447-455. [PMID: 37354304 PMCID: PMC11457552 DOI: 10.1007/s11883-023-01115-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/01/2023] [Indexed: 06/26/2023]
Abstract
PURPOSE OF REVIEW Genome-wide association studies have repeatedly linked the metalloproteinase ADAMTS7 to coronary artery disease. Here we aim to highlight recent findings surrounding the human genetics of ADAMTS7, novel mouse models that investigate ADAMTS7 function, and potential substrates of ADAMTS7 cleavage. RECENT FINDINGS Recent genome-wide association studies in coronary artery disease have replicated the GWAS signal for ADAMTS7 and shown that the signal holds true even across different ethnic groups. However, the direction of effect in humans remains unclear. A recent novel mouse model revealed that the proatherogenicity of ADAMTS7 is derived from its catalytic functions, while at the translational level, vaccinating mice against ADAMTS7 reduced atherosclerosis. Finally, in vitro proteomics approaches have identified extracellular matrix proteins as candidate substrates that may be causal for the proatherogenicity of ADAMTS7. ADAMTS7 represents an enticing target for therapeutic intervention. The recent studies highlighted here have replicated prior findings, confirming the genetic link between ADAMTS7 and atherosclerosis, while providing further evidence in mice that ADAMTS7 is a targetable proatherogenic enzyme.
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Affiliation(s)
- Allen Chung
- Cardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University, New York, NY, USA
| | - Muredach P Reilly
- Cardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University, New York, NY, USA
- Irving Institute for Clinical and Translational Research, Columbia University, New York, NY, USA
| | - Robert C Bauer
- Cardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University, New York, NY, USA.
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Zhang J, Guo Y, Zhao X, Pang J, Pan C, Wang J, Wei S, Yu X, Zhang C, Chen Y, Yin H, Xu F. The role of aldehyde dehydrogenase 2 in cardiovascular disease. Nat Rev Cardiol 2023; 20:495-509. [PMID: 36781974 DOI: 10.1038/s41569-023-00839-5] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/09/2023] [Indexed: 02/15/2023]
Abstract
Aldehyde dehydrogenase 2 (ALDH2) is a mitochondrial enzyme involved in the detoxification of alcohol-derived acetaldehyde and endogenous aldehydes. The inactivating ALDH2 rs671 polymorphism, present in up to 8% of the global population and in up to 50% of the East Asian population, is associated with increased risk of cardiovascular conditions such as coronary artery disease, alcohol-induced cardiac dysfunction, pulmonary arterial hypertension, heart failure and drug-induced cardiotoxicity. Although numerous studies have attributed an accumulation of aldehydes (secondary to alcohol consumption, ischaemia or elevated oxidative stress) to an increased risk of cardiovascular disease (CVD), this accumulation alone does not explain the emerging protective role of ALDH2 rs671 against ageing-related cardiac dysfunction and the development of aortic aneurysm or dissection. ALDH2 can also modulate risk factors associated with atherosclerosis, such as cholesterol biosynthesis and HDL biogenesis in hepatocytes and foam cell formation and efferocytosis in macrophages, via non-enzymatic pathways. In this Review, we summarize the basic biology and the clinical relevance of the enzymatic and non-enzymatic, tissue-specific roles of ALDH2 in CVD, and discuss the future directions in the research and development of therapeutic strategies targeting ALDH2. A thorough understanding of the complex roles of ALDH2 in CVD will improve the diagnosis, management and prognosis of patients with CVD who harbour the ALDH2 rs671 polymorphism.
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Affiliation(s)
- Jian Zhang
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Yunyun Guo
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Xiangkai Zhao
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Jiaojiao Pang
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Chang Pan
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Jiali Wang
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Shujian Wei
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
| | - Xiao Yu
- Key Laboratory Experimental Teratology of the Ministry of Education, Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shandong University, Shandong, China
| | - Cheng Zhang
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China
- Department of Cardiology, Qilu Hospital of Shandong University, Shandong, China
| | - Yuguo Chen
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China.
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China.
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China.
| | - Huiyong Yin
- Chinese Academy of Sciences Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Innovation Center for Intervention of Chronic Disease and Promotion of Health, Chinese Academy of Sciences, Shanghai, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
| | - Feng Xu
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China.
- Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Shandong, China.
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese Ministry of Health and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Shandong, China.
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22
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Zhao D, Sun H, Li H, Li C, Zhou B. A prediction model for the impact of environmental and genetic factors on cardiovascular events: development in a salt substitutes population. J Transl Med 2023; 21:62. [PMID: 36717874 PMCID: PMC9887817 DOI: 10.1186/s12967-023-03899-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 01/17/2023] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Cardiovascular disease (CVD) has evolved into a serious public health issue that demands the use of suitable methods to estimate the risk of the disease. As a result, in a sample of individuals who completed a 3-year low-sodium salt or conventional salt intervention in a hypertensive environment, we constructed a 13-year cardiovascular (CV) event risk prediction model with a 10-year follow-up. METHODS A Cox proportional hazards model was used to build a prediction model based on data from 306 participants who matched the inclusion criteria. Both the discriminating power and the calibration of the prediction models were assessed. The discriminative power of the prediction model was measured using the area under the curve (AUC). Brier scores and calibration plots were used to assess the prediction model's calibration. The model was internally validated using the tenfold cross-validation method. The nomogram served as a tool for visualising the model. RESULTS Among the 306 total individuals, there were 100 cases and 206 control. In the model, there were six predictors including age, smoking, LDL-C (low-density lipoprotein cholesterol), baseline SBP (systolic blood pressure), CVD (cardiovascular history), and CNV (genomic copy number variation) nsv483076. The fitted model has an AUC of 0.788, showing strong model discrimination, and a Brier score of 0.166, indicating that it was well-calibrated. According to the results of internal validation, the prediction model utilised in this study had a good level of repeatability. According to the model integrating the interaction of CNVs and baseline blood pressure, the effect of baseline SBP on CV events may be greater when nsv483076 was normal double copies than when nsv483076 was copy number variation. CONCLUSIONS The efficacy of risk prediction models for CV events that include environmental and genetic components is excellent, and they may be utilised as risk assessment tools for CV events in specific groups to offer a foundation for tailored intervention strategies.
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Affiliation(s)
- Dan Zhao
- grid.412636.40000 0004 1757 9485Department of Clinical Epidemiology and Evidence-Based Medicine, The First Hospital of China Medical University, No.155, Nanjing North Street, Heping District, Shenyang, Liaoning China ,grid.412449.e0000 0000 9678 1884School of Public Health, China Medical University, Shenyang, Liaoning China
| | - Hao Sun
- grid.412636.40000 0004 1757 9485Department of Clinical Epidemiology and Evidence-Based Medicine, The First Hospital of China Medical University, No.155, Nanjing North Street, Heping District, Shenyang, Liaoning China
| | - Huamin Li
- grid.412636.40000 0004 1757 9485Department of Clinical Epidemiology and Evidence-Based Medicine, The First Hospital of China Medical University, No.155, Nanjing North Street, Heping District, Shenyang, Liaoning China ,grid.412449.e0000 0000 9678 1884School of Public Health, China Medical University, Shenyang, Liaoning China
| | - Chaoxiu Li
- grid.412636.40000 0004 1757 9485Department of Clinical Epidemiology and Evidence-Based Medicine, The First Hospital of China Medical University, No.155, Nanjing North Street, Heping District, Shenyang, Liaoning China ,grid.412449.e0000 0000 9678 1884School of Public Health, China Medical University, Shenyang, Liaoning China
| | - Bo Zhou
- Department of Clinical Epidemiology and Evidence-Based Medicine, The First Hospital of China Medical University, No.155, Nanjing North Street, Heping District, Shenyang, Liaoning, China.
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23
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O'Sullivan JW, Ashley EA, Elliott PM. Polygenic risk scores for the prediction of cardiometabolic disease. Eur Heart J 2023; 44:89-99. [PMID: 36478054 DOI: 10.1093/eurheartj/ehac648] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 08/28/2022] [Accepted: 10/27/2022] [Indexed: 12/12/2022] Open
Abstract
Cardiometabolic diseases contribute more to global morbidity and mortality than any other group of disorders. Polygenic risk scores (PRSs), the weighted summation of individually small-effect genetic variants, represent an advance in our ability to predict the development and complications of cardiometabolic diseases. This article reviews the evidence supporting the use of PRS in seven common cardiometabolic diseases: coronary artery disease (CAD), stroke, hypertension, heart failure and cardiomyopathies, obesity, atrial fibrillation (AF), and type 2 diabetes mellitus (T2DM). Data suggest that PRS for CAD, AF, and T2DM consistently improves prediction when incorporated into existing clinical risk tools. In other areas such as ischaemic stroke and hypertension, clinical application appears premature but emerging evidence suggests that the study of larger and more diverse populations coupled with more granular phenotyping will propel the translation of PRS into practical clinical prediction tools.
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Affiliation(s)
- Jack W O'Sullivan
- Stanford Center for Inherited Cardiovascular Disease, Stanford University School of Medicine, Stanford, CA, USA
- Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Euan A Ashley
- Stanford Center for Inherited Cardiovascular Disease, Stanford University School of Medicine, Stanford, CA, USA
- Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Perry M Elliott
- UCL Institute of Cardiovascular Science, Gower Street, London WC1E 6BT, UK
- St. Bartholomew's Hospital, W Smithfield, London EC1A 7BE, UK
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24
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Pan-Lizcano R, Mariñas-Pardo L, Núñez L, Rebollal-Leal F, López-Vázquez D, Pereira A, Molina-Nieto A, Calviño R, Vázquez-Rodríguez JM, Hermida-Prieto M. Rare Variants in Genes of the Cholesterol Pathway Are Present in 60% of Patients with Acute Myocardial Infarction. Int J Mol Sci 2022; 23:ijms232416127. [PMID: 36555767 PMCID: PMC9786046 DOI: 10.3390/ijms232416127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/06/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022] Open
Abstract
Acute myocardial infarction (AMI) is a pandemic in which conventional risk factors are inadequate to detect who is at risk early in the asymptomatic stage. Although gene variants in genes related to cholesterol, which may increase the risk of AMI, have been identified, no studies have systematically screened the genes involved in this pathway. In this study, we included 105 patients diagnosed with AMI with an elevation of the ST segment (STEMI) and treated with primary percutaneous coronary intervention (PPCI). Using next-generation sequencing, we examined the presence of rare variants in 40 genes proposed to be involved in lipid metabolism and we found that 60% of AMI patients had a rare variant in the genes involved in the cholesterol pathway. Our data show the importance of considering the wide scope of the cholesterol pathway in order to assess the genetic risk related to AMI.
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Affiliation(s)
- Ricardo Pan-Lizcano
- Grupo de Investigación en Cardiología, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC-SERGAS), GRINCAR-Universidade da Coruña (UDC), 15006 A Coruña, Spain
| | - Luis Mariñas-Pardo
- Facultad de Ciencias de la Salud, Universidad Internacional de Valencia (VIU), 46002 Valencia, Spain
| | - Lucía Núñez
- Grupo de Investigación en Cardiología, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC-SERGAS), GRINCAR-Universidade da Coruña (UDC), 15006 A Coruña, Spain
- Departamento de Ciencias de la Salud, GRINCAR Research Group, Universidade da Coruña, 15403 A Coruña, Spain
- Correspondence: ; Tel.: +34-981-178-150
| | - Fernando Rebollal-Leal
- Servicio de Cardiología, Complexo Hospitalario Universitario de A Coruña (CHUAC-SERGAS), Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña (UDC), 15006 A Coruña, Spain
| | - Domingo López-Vázquez
- Servicio de Cardiología, Complexo Hospitalario Universitario de A Coruña (CHUAC-SERGAS), Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña (UDC), 15006 A Coruña, Spain
| | - Ana Pereira
- Servicio de Cardiología, Complexo Hospitalario Universitario de A Coruña (CHUAC-SERGAS), Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña (UDC), 15006 A Coruña, Spain
| | - Aranzazu Molina-Nieto
- Servicio de Cardiología, Complexo Hospitalario Universitario de A Coruña (CHUAC-SERGAS), Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña (UDC), 15006 A Coruña, Spain
| | - Ramón Calviño
- Servicio de Cardiología, Complexo Hospitalario Universitario de A Coruña (CHUAC-SERGAS), Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña (UDC), 15006 A Coruña, Spain
- CIBERCV (Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Jose Manuel Vázquez-Rodríguez
- Servicio de Cardiología, Complexo Hospitalario Universitario de A Coruña (CHUAC-SERGAS), Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña (UDC), 15006 A Coruña, Spain
- CIBERCV (Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Manuel Hermida-Prieto
- Grupo de Investigación en Cardiología, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC-SERGAS), GRINCAR-Universidade da Coruña (UDC), 15006 A Coruña, Spain
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25
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Li J, Liang F, Liu F, Li J, Huang K, Yang X, Chen S, Cao J, Shen C, Zhao L, Li Y, Hu D, Wang W, Wu J, Huang J, Lu X, Gu D. Genetic risk modifies the effect of long-term fine particulate matter exposure on coronary artery disease. ENVIRONMENT INTERNATIONAL 2022; 170:107624. [PMID: 36402033 DOI: 10.1016/j.envint.2022.107624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 10/25/2022] [Accepted: 11/09/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Although both environmental and genetic factors were linked to coronary artery disease (CAD), the extent to which the association of air pollution exposure with CAD can be influenced by genetic risk was not well understood. METHODS A total of 41,149 participants recruited from the project of Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) were included. Genetic risk scores of CAD were constructed based on 540 genetic variants. Long-term PM2.5 exposures were assessed by adopting satellite-based PM2.5 estimations at 1-km resolution. We used stratified Cox proportional hazards regression model to examine the impact of PM2.5 exposure and genetic risk on CAD risk, and further analyzed modification effect of genetic predisposition on association between PM2.5 exposure and CAD risk. RESULTS During a median of 13.01 years of follow-up, 1,373 incident CAD events were observed. Long-term PM2.5 exposure significantly increased CAD risk, and the hazard ratios (HRs) [95% confidence intervals (CIs)] were 1.27 (1.05-1.54) and 1.95 (1.57-2.42) among intermediate and high PM2.5 exposure groups compared to low PM2.5 exposure group. The relative risks of CAD were 40% (HR: 1.40, 95%CI: 1.18-1.66) and 133% (HR: 2.33, 95%CI: 1.94-2.79) higher among individuals at intermediate and high genetic risk than those at low genetic risk. Compared with individuals with both low genetic risk and low PM2.5 exposure, those with high genetic risk and high PM2.5 exposure had highest CAD risk, with HR of 4.37 (95%CI: 3.13-6.11). We observed significant multiplicative (P < 0.001) and additive interaction [relative excess risk due to interaction (95%CI): 2.75 (1.32-4.20); attributable proportion due to interaction (95%CI): 0.56 (0.42-0.70)] between genetic risk and PM2.5 exposure on CAD. CONCLUSION This study provided evidence that long-term PM2.5 exposure might increase CAD risk, especially among people at high genetic risk. Our findings highlighted the importance of taking strategies on air quality improvement to cardiovascular disease prevention.
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Affiliation(s)
- Jinyue Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Fengchao Liang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Xueli Yang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300203, China
| | - Shufeng Chen
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Jie Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Liancheng Zhao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Ying Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen 518071, China
| | - Wending Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianbin Wu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Jianfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China.
| | - Dongfeng Gu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China; School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China.
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26
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The Role of NO/sGC/cGMP/PKG Signaling Pathway in Regulation of Platelet Function. Cells 2022; 11:cells11223704. [PMID: 36429131 PMCID: PMC9688146 DOI: 10.3390/cells11223704] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 11/23/2022] Open
Abstract
Circulating blood platelets are controlled by stimulatory and inhibitory factors, and a tightly regulated equilibrium between these two opposing processes is essential for normal platelet and vascular function. NO/cGMP/ Protein Kinase G (PKG) pathways play a highly significant role in platelet inhibition, which is supported by a large body of studies and data. This review focused on inconsistent and controversial data of NO/sGC/cGMP/PKG signaling in platelets including sources of NO that activate sGC in platelets, the role of sGC/PKG in platelet inhibition/activation, and the complexity of the regulation of platelet inhibitory mechanisms by cGMP/PKG pathways. In conclusion, we suggest that the recently developed quantitative phosphoproteomic method will be a powerful tool for the analysis of PKG-mediated effects. Analysis of phosphoproteins in PKG-activated platelets will reveal many new PKG substrates. A future detailed analysis of these substrates and their involvement in different platelet inhibitory pathways could be a basis for the development of new antiplatelet drugs that may target only specific aspects of platelet functions.
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27
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Guo J, Xie X, Wu J, Yang L, Ruan Q, Xu X, Wei D, Wen Y, Wang T, Hu Y, Lin Y, Chen M, Wu J, Lin S, Li H, Wu S. Association between fine particulate matter and coronary heart disease: A miRNA microarray analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 313:120163. [PMID: 36122657 DOI: 10.1016/j.envpol.2022.120163] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 09/01/2022] [Accepted: 09/08/2022] [Indexed: 06/15/2023]
Abstract
Several studies have reported an association between residential surrounding particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5) and coronary heart disease (CHD). However, the underlying biological mechanism remains unclear. To fill this research gap, this study enrolled a residentially stable sample of 942 patients with CHD and 1723 controls. PM2.5 concentration was obtained from satellite-based annual global PM2.5 estimates for the period 1998-2019. MicroRNA microarray and pathway analysis of target genes was performed to elucidate the potential biological mechanism by which PM2.5 increases CHD risk. The results showed that individuals exposed to high PM2.5 concentrations had higher risks of CHD than those exposed to low PM2.5 concentrations (odds ratio = 1.22, 95% confidence interval: 1.00, 1.47 per 10 μg/m3 increase in PM2.5). Systolic blood pressure mediated 6.6% of the association between PM2.5 and CHD. PM2.5 and miR-4726-5p had an interaction effect on CHD development. Bioinformatic analysis demonstrated that miR-4726-5p may affect the occurrence of CHD by regulating the function of RhoA. Therefore, individuals in areas with high PM2.5 exposure and relative miR-4726-5p expression have a higher risk of CHD than their counterparts because of the interaction effect of PM2.5 and miR-4726-5p on blood pressure.
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Affiliation(s)
- Jianhui Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Xiaoxu Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Jieyu Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Le Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Qishuang Ruan
- Department of Orthopedics, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Xingyan Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Donghong Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Yeying Wen
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Tinggui Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Yuduan Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Yawen Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Mingjun Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Jiadong Wu
- School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Shaowei Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Huangyuan Li
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Siying Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China.
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Zarkasi KA, Abdullah N, Abdul Murad NA, Ahmad N, Jamal R. Genetic Factors for Coronary Heart Disease and Their Mechanisms: A Meta-Analysis and Comprehensive Review of Common Variants from Genome-Wide Association Studies. Diagnostics (Basel) 2022; 12:2561. [PMID: 36292250 PMCID: PMC9601486 DOI: 10.3390/diagnostics12102561] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/18/2022] [Accepted: 10/20/2022] [Indexed: 11/17/2022] Open
Abstract
Genome-wide association studies (GWAS) have discovered 163 loci related to coronary heart disease (CHD). Most GWAS have emphasized pathways related to single-nucleotide polymorphisms (SNPs) that reached genome-wide significance in their reports, while identification of CHD pathways based on the combination of all published GWAS involving various ethnicities has yet to be performed. We conducted a systematic search for articles with comprehensive GWAS data in the GWAS Catalog and PubMed, followed by a meta-analysis of the top recurring SNPs from ≥2 different articles using random or fixed-effect models according to Cochran Q and I2 statistics, and pathway enrichment analysis. Meta-analyses showed significance for 265 of 309 recurring SNPs. Enrichment analysis returned 107 significant pathways, including lipoprotein and lipid metabolisms (rs7412, rs6511720, rs11591147, rs1412444, rs11172113, rs11057830, rs4299376), atherogenesis (rs7500448, rs6504218, rs3918226, rs7623687), shared cardiovascular pathways (rs72689147, rs1800449, rs7568458), diabetes-related pathways (rs200787930, rs12146487, rs6129767), hepatitis C virus infection/hepatocellular carcinoma (rs73045269/rs8108632, rs56062135, rs188378669, rs4845625, rs11838776), and miR-29b-3p pathways (rs116843064, rs11617955, rs146092501, rs11838776, rs73045269/rs8108632). In this meta-analysis, the identification of various genetic factors and their associated pathways associated with CHD denotes the complexity of the disease. This provides an opportunity for the future development of novel CHD genetic risk scores relevant to personalized and precision medicine.
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Affiliation(s)
- Khairul Anwar Zarkasi
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), Kuala Lumpur 56000, Malaysia
- Biochemistry Unit, Faculty of Medicine and Defence Health, Universiti Pertahanan Nasional Malaysia (UPNM), Kuala Lumpur 57000, Malaysia
| | - Noraidatulakma Abdullah
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), Kuala Lumpur 56000, Malaysia
- Faculty of Health Sciences, Universiti Kebangsaan Malaysia (UKM), Kuala Lumpur 50300, Malaysia
| | - Nor Azian Abdul Murad
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), Kuala Lumpur 56000, Malaysia
| | - Norfazilah Ahmad
- Epidemiology and Statistics Unit, Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia (UKM), Kuala Lumpur 56000, Malaysia
| | - Rahman Jamal
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), Kuala Lumpur 56000, Malaysia
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Chew NW, Chong B, Ng CH, Kong G, Chin YH, Xiao W, Lee M, Dan YY, Muthiah MD, Foo R. The genetic interactions between non-alcoholic fatty liver disease and cardiovascular diseases. Front Genet 2022; 13:971484. [PMID: 36035124 PMCID: PMC9399730 DOI: 10.3389/fgene.2022.971484] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 07/19/2022] [Indexed: 12/03/2022] Open
Abstract
The ongoing debate on whether non-alcoholic fatty liver disease (NAFLD) is an active contributor or an innocent bystander in the development of cardiovascular disease (CVD) has sparked interests in understanding the common mediators between the two biologically distinct entities. This comprehensive review identifies and curates genetic studies of NAFLD overlapping with CVD, and describes the colinear as well as opposing correlations between genetic associations for the two diseases. Here, CVD described in relation to NAFLD are coronary artery disease, cardiomyopathy and atrial fibrillation. Unique findings of this review included certain NAFLD susceptibility genes that possessed cardioprotective properties. Moreover, the complex interactions of genetic and environmental risk factors shed light on the disparity in genetic influence on NAFLD and its incident CVD. This serves to unravel NAFLD-mediated pathways in order to reduce CVD events, and helps identify targeted treatment strategies, develop polygenic risk scores to improve risk prediction and personalise disease prevention.
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Affiliation(s)
- Nicholas W.S. Chew
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- *Correspondence: Nicholas W.S. Chew, ; Roger Foo,
| | - Bryan Chong
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
| | - Cheng Han Ng
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
| | - Gwyneth Kong
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
| | - Yip Han Chin
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
| | - Wang Xiao
- Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Cardiovascular Disease Translational Research Programme, National University Health Systems, Singapore, Singapore
- Genome Institute of Singapore, Agency of Science Technology and Research, Bipolis way, Singapore
| | - Mick Lee
- Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Cardiovascular Disease Translational Research Programme, National University Health Systems, Singapore, Singapore
- Genome Institute of Singapore, Agency of Science Technology and Research, Bipolis way, Singapore
| | - Yock Young Dan
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore
- National University Centre for Organ Transplantation, National University Health System, Singapore, Singapore
| | - Mark D. Muthiah
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore
- National University Centre for Organ Transplantation, National University Health System, Singapore, Singapore
| | - Roger Foo
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
- Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Cardiovascular Disease Translational Research Programme, National University Health Systems, Singapore, Singapore
- Genome Institute of Singapore, Agency of Science Technology and Research, Bipolis way, Singapore
- *Correspondence: Nicholas W.S. Chew, ; Roger Foo,
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30
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Tcheandjieu C, Zhu X, Hilliard AT, Clarke SL, Napolioni V, Ma S, Lee KM, Fang H, Chen F, Lu Y, Tsao NL, Raghavan S, Koyama S, Gorman BR, Vujkovic M, Klarin D, Levin MG, Sinnott-Armstrong N, Wojcik GL, Plomondon ME, Maddox TM, Waldo SW, Bick AG, Pyarajan S, Huang J, Song R, Ho YL, Buyske S, Kooperberg C, Haessler J, Loos RJF, Do R, Verbanck M, Chaudhary K, North KE, Avery CL, Graff M, Haiman CA, Le Marchand L, Wilkens LR, Bis JC, Leonard H, Shen B, Lange LA, Giri A, Dikilitas O, Kullo IJ, Stanaway IB, Jarvik GP, Gordon AS, Hebbring S, Namjou B, Kaufman KM, Ito K, Ishigaki K, Kamatani Y, Verma SS, Ritchie MD, Kember RL, Baras A, Lotta LA, Kathiresan S, Hauser ER, Miller DR, Lee JS, Saleheen D, Reaven PD, Cho K, Gaziano JM, Natarajan P, Huffman JE, Voight BF, Rader DJ, Chang KM, Lynch JA, Damrauer SM, Wilson PWF, Tang H, Sun YV, Tsao PS, O'Donnell CJ, Assimes TL. Large-scale genome-wide association study of coronary artery disease in genetically diverse populations. Nat Med 2022; 28:1679-1692. [PMID: 35915156 PMCID: PMC9419655 DOI: 10.1038/s41591-022-01891-3] [Citation(s) in RCA: 184] [Impact Index Per Article: 61.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 06/08/2022] [Indexed: 02/03/2023]
Abstract
We report a genome-wide association study (GWAS) of coronary artery disease (CAD) incorporating nearly a quarter of a million cases, in which existing studies are integrated with data from cohorts of white, Black and Hispanic individuals from the Million Veteran Program. We document near equivalent heritability of CAD across multiple ancestral groups, identify 95 novel loci, including nine on the X chromosome, detect eight loci of genome-wide significance in Black and Hispanic individuals, and demonstrate that two common haplotypes at the 9p21 locus are responsible for risk stratification in all populations except those of African origin, in which these haplotypes are virtually absent. Moreover, in the largest GWAS for angiographically derived coronary atherosclerosis performed to date, we find 15 loci of genome-wide significance that robustly overlap with established loci for clinical CAD. Phenome-wide association analyses of novel loci and polygenic risk scores (PRSs) augment signals related to insulin resistance, extend pleiotropic associations of these loci to include smoking and family history, and precisely document the markedly reduced transferability of existing PRSs to Black individuals. Downstream integrative analyses reinforce the critical roles of vascular endothelial, fibroblast, and smooth muscle cells in CAD susceptibility, but also point to a shared biology between atherosclerosis and oncogenesis. This study highlights the value of diverse populations in further characterizing the genetic architecture of CAD.
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Affiliation(s)
- Catherine Tcheandjieu
- VA Palo Alto Health Care System, Palo Alto, CA, USA.
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA.
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
| | - Xiang Zhu
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Statistics, Stanford University, Stanford, CA, USA
- Department of Statistics, The Pennsylvania State University, University Park, PA, USA
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, USA
| | | | - Shoa L Clarke
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Valerio Napolioni
- School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Shining Ma
- Department of Statistics, Stanford University, Stanford, CA, USA
| | - Kyung Min Lee
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
| | - Huaying Fang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Fei Chen
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
| | - Yingchang Lu
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Noah L Tsao
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Sridharan Raghavan
- Medicine Service, VA Eastern Colorado Health Care System, Aurora, CO, USA
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Satoshi Koyama
- Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Bryan R Gorman
- VA Boston Healthcare System, Boston, MA, USA
- Booz Allen Hamilton, McLean, VA, USA
| | - Marijana Vujkovic
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Derek Klarin
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- VA Boston Healthcare System, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Vascular Surgery and Endovascular Therapy, University of Florida School of Medicine, Gainesville, FL, USA
- Stanford University School of Medicine, Stanford, CA, USA
| | - Michael G Levin
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Nasa Sinnott-Armstrong
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Genevieve L Wojcik
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Mary E Plomondon
- Department of Medicine, Rocky Mountain Regional VA Medical Center, Aurora, CO, USA
- CART Program, VHA Office of Quality and Patient Safety, Washington, DC, USA
| | - Thomas M Maddox
- Healthcare Innovation Lab, JC HealthCare/Washington University School of Medicine, St Louis, MO, USA
- Division of Cardiology, Washington University School of Medicine, St Louis, MO, USA
| | - Stephen W Waldo
- Department of Medicine, Rocky Mountain Regional VA Medical Center, Aurora, CO, USA
- CART Program, VHA Office of Quality and Patient Safety, Washington, DC, USA
- Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Alexander G Bick
- Department of Biomedical Informatics, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Saiju Pyarajan
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jie Huang
- VA Boston Healthcare System, Boston, MA, USA
- Department of Global Health, Peking University School of Public Health, Beijing, China
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | | | - Yuk-Lam Ho
- VA Boston Healthcare System, Boston, MA, USA
| | - Steven Buyske
- Department of Statistics, Rutgers University, Piscataway, NJ, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ron Do
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marie Verbanck
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- EA 7537 BioSTM, Université de Paris, Paris, France
| | - Kumardeep Chaudhary
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Christy L Avery
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
| | - Loïc Le Marchand
- Cancer Epidemiology Program, University of Hawaii Cancer Center, University of Hawaii, Honolulu, HI, USA
| | - Lynne R Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, University of Hawaii, Honolulu, HI, USA
| | - Joshua C Bis
- Department of Medicine, Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - Hampton Leonard
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
- Data Tecnica Int'l, LLC, Glen Echo, MD, USA
| | - Botong Shen
- Health Disparities Research Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Leslie A Lange
- Department of Medicine, Division of Biomedical Informatics and Personalized Medicine, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ayush Giri
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Obstetrics and Gynecology, Division of Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ozan Dikilitas
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Ian B Stanaway
- Department of Medicine, Division of Nephrology, University of Washington, Seattle, WA, USA
| | - Gail P Jarvik
- Department of Medicine, Medical Genetics, University of Washington School of Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Adam S Gordon
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Scott Hebbring
- Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - Bahram Namjou
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Kenneth M Kaufman
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Kaoru Ito
- Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Kazuyoshi Ishigaki
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences - The University of Tokyo, Tokyo, Japan
| | - Shefali S Verma
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Marylyn D Ritchie
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rachel L Kember
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Aris Baras
- Regeneron Genetics Center, Tarrytown, NY, USA
| | | | - Sekar Kathiresan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Cardiology Division, Massachusetts General Hospital, Boston, MA, USA
- Verve Therapeutics, Cambridge, MA, USA
| | - Elizabeth R Hauser
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA
| | - Donald R Miller
- Center for Healthcare Organization and Implementation Research, Bedford VA Healthcare System, Bedford, MA, USA
- Center for Population Health, Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, USA
| | - Jennifer S Lee
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Danish Saleheen
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, Division of Cardiology, Columbia University, New York, NY, USA
| | - Peter D Reaven
- Phoenix VA Health Care System, Phoenix, AZ, USA
- College of Medicine, University of Arizona, Phoenix, AZ, USA
| | - Kelly Cho
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Michael Gaziano
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Pradeep Natarajan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Cardiology Division, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | | | - Benjamin F Voight
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute of Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Daniel J Rader
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kyong-Mi Chang
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Julie A Lynch
- VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- College of Nursing and Health Sciences, University of Massachusetts, Boston, MA, USA
| | - Scott M Damrauer
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Peter W F Wilson
- Atlanta VA Medical Center, Atlanta, GA, USA
- Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA
| | - Hua Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Yan V Sun
- Atlanta VA Health Care System, Atlanta, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Philip S Tsao
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Christopher J O'Donnell
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Themistocles L Assimes
- VA Palo Alto Health Care System, Palo Alto, CA, USA.
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
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31
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Finer G, Maezawa Y, Ide S, Onay T, Souma T, Scott R, Liang X, Zhao X, Gadhvi G, Winter DR, Quaggin SE, Hayashida T. Stromal Transcription Factor 21 Regulates Development of the Renal Stroma via Interaction with Wnt/ β-Catenin Signaling. KIDNEY360 2022; 3:1228-1241. [PMID: 35919523 PMCID: PMC9337899 DOI: 10.34067/kid.0005572021] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 04/12/2022] [Indexed: 01/11/2023]
Abstract
Background Kidney formation requires coordinated interactions between multiple cell types. Input from the interstitial progenitor cells is implicated in multiple aspects of kidney development. We previously reported that transcription factor 21 (Tcf21) is required for ureteric bud branching. Here, we show that Tcf21 in Foxd1+ interstitial progenitors regulates stromal formation and differentiation via interaction with β-catenin. Methods We utilized the Foxd1Cre;Tcf21f/f murine kidney for morphologic analysis. We used the murine clonal mesenchymal cell lines MK3/M15 to study Tcf21 interaction with Wnt/β-catenin. Results Absence of Tcf21 from Foxd1+ stromal progenitors caused a decrease in stromal cell proliferation, leading to marked reduction of the medullary stromal space. Lack of Tcf21 in the Foxd1+ stromal cells also led to defective differentiation of interstitial cells to smooth-muscle cells, perivascular pericytes, and mesangial cells. Foxd1Cre;Tcf21f/f kidney showed an abnormal pattern of the renal vascular tree. The stroma of Foxd1Cre;Tcf21f/f kidney demonstrated marked reduction in β-catenin protein expression compared with wild type. Tcf21 was bound to β-catenin both upon β-catenin stabilization and at basal state as demonstrated by immunoprecipitation in vitro. In MK3/M15 metanephric mesenchymal cells, Tcf21 enhanced TCF/LEF promoter activity upon β-catenin stabilization, whereas DNA-binding deficient mutated Tcf21 did not enhance TCF/LEF promoter activity. Kidney explants of Foxd1Cre;Tcf21f/f showed low mRNA expression of stromal Wnt target genes. Treatment of the explants with CHIR, a Wnt ligand mimetic, restored Wnt target gene expression. Here, we also corroborated previous evidence that normal development of the kidney stroma is required for normal development of the Six2+ nephron progenitor cells, loop of Henle, and the collecting ducts. Conclusions These findings suggest that stromal Tcf21 facilitates medullary stroma development by enhancing Wnt/β-catenin signaling and promotes stromal cell proliferation and differentiation. Stromal Tcf21 is also required for the development of the adjacent nephron epithelia.
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Affiliation(s)
- Gal Finer
- Division of Nephrology, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois
- Feinberg Cardiovascular and Renal Research Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Yoshiro Maezawa
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Shintaro Ide
- Department of Medicine, Duke University, Durham, North Carolina
| | - Tuncer Onay
- Feinberg Cardiovascular and Renal Research Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Division of Nephrology/Hypertension, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Tomokazu Souma
- Department of Medicine, Duke University, Durham, North Carolina
| | - Rizaldy Scott
- Feinberg Cardiovascular and Renal Research Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Division of Nephrology/Hypertension, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Xiaoyan Liang
- Division of Nephrology, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Xiangmin Zhao
- Division of Nephrology, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois
| | - Gaurav Gadhvi
- Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Deborah R. Winter
- Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Susan E. Quaggin
- Feinberg Cardiovascular and Renal Research Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Division of Nephrology/Hypertension, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Tomoko Hayashida
- Division of Nephrology, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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32
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Luo JY, Liu F, Zhang T, Tian T, Luo F, Li XM, Yang YN. Association of NFKB1 gene rs28362491 mutation with the occurrence of major adverse cardiovascular events. BMC Cardiovasc Disord 2022; 22:313. [PMID: 35831800 PMCID: PMC9281072 DOI: 10.1186/s12872-022-02755-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 07/06/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Several studies have reported that NFKB1 gene rs28362491 polymorphism was associated with susceptibility to coronary heart disease in populations of different genetic backgrounds. To date, there have been no studies on the association between NFKB1 gene rs28362491 polymorphism and the occurrence of major adverse cardiac and cerebrovascular event (MACCE). The present study was to explore the relationship between NFKB1 gene rs28362491 polymorphism and MACCEs to investigate whether identifying NFKB1 gene polymorphism is beneficial to evaluating MACCE risks and patients' prognoses. METHODS We recruited 257 high-risk of cardiovascular disease patients with chest pain or precordial discomfort. The SNPscan™ were used to analyze the NFKB1 gene rs28362491 polymorphism. All patients were followed up in the clinic or by telephone interview for MACCEs. RESULTS During the followed-up time (mean: 30.1 months) 49 patients had MACCEs (19.1%). Patients with the different genotypes of NFKB1 rs28362491 had different incidence rate of MACCE. The incidence of MACCE in patients carried II, ID and DD genotype was 16.5%, 15.9%, 32.6%, respectively. Log-rank analysis showed that the survival rate in patients with NFKB1 rs28362491 DD genotype was much lower than that in II or ID genotype carriers (P = 0.034). After excluding the influence of traditional risk factors of MACCEs, Cox regression showed that the DD genotype carriers had 2.294-fold relative risk of MACCEs comparing with patients carried II or ID genotype. CONCLUSION The NFKB1 gene rs28362491 mutant was an independent predictor of worse long-term prognosis for MACCEs. Therefore, identifying NFKB1 gene rs28362491 mutant may be used as a good way for guiding the standardized management of patients with high-risk of cardiovascular diseases.
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Affiliation(s)
- Jun-Yi Luo
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, 137 Liyushan South Road, Urumqi, 830054, Xinjiang, China
| | - Fen Liu
- Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, Xinjiang, China
| | - Tong Zhang
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, 137 Liyushan South Road, Urumqi, 830054, Xinjiang, China
| | - Ting Tian
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, 137 Liyushan South Road, Urumqi, 830054, Xinjiang, China
| | - Fan Luo
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, 137 Liyushan South Road, Urumqi, 830054, Xinjiang, China
| | - Xiao-Mei Li
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, 137 Liyushan South Road, Urumqi, 830054, Xinjiang, China.
| | - Yi-Ning Yang
- People's Hospital of Xinjiang Uygur Autonomous Region, 91 Tianchi Road, Urumqi, 830054, Xinjiang, China.
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33
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PhenGenVar: A User-Friendly Genetic Variant Detection and Visualization Tool for Precision Medicine. J Pers Med 2022; 12:jpm12060959. [PMID: 35743744 PMCID: PMC9224645 DOI: 10.3390/jpm12060959] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 06/06/2022] [Accepted: 06/09/2022] [Indexed: 12/16/2022] Open
Abstract
Precision medicine has been revolutionized by the advent of high-throughput next-generation sequencing (NGS) technology and development of various bioinformatic analysis tools for large-scale NGS big data. At the population level, biomedical studies have identified human diseases and phenotype-associated genetic variations using NGS technology, such as whole-genome sequencing, exome sequencing, and gene panel sequencing. Furthermore, patients’ genetic variations related to a specific phenotype can also be identified by analyzing their genomic information. These breakthroughs paved the way for the clinical diagnosis and precise treatment of patients’ diseases. Although many bioinformatics tools have been developed to analyze the genetic variations from the individual patient’s NGS data, it is still challenging to develop user-friendly programs for clinical physicians who do not have bioinformatics programing skills to diagnose a patient’s disease using the genomic data. In response to this demand, we developed a Phenotype to Genotype Variation program (PhenGenVar), which is a user-friendly interface for monitoring the variations in a gene of interest for molecular diagnosis. This allows for flexible filtering and browsing of variants of the disease and phenotype-associated genes. To test this program, we analyzed the whole-genome sequencing data of an anonymous person from the 1000 human genome project data. As a result, we were able to identify several genomic variations, including single-nucleotide polymorphism, insertions, and deletions in specific gene regions. Therefore, PhenGenVar can be used to diagnose a patient’s disease. PhenGenVar is freely accessible and is available at our website.
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Abdul-Hasan MT, Omara AM, Al-Koofee DAF. Association amongst human A1166C polymorphism of the angiotensin II type 1 receptor gene with coronary artery disease in the Iraqi population. J Diabetes Metab Disord 2022; 21:727-733. [PMID: 35673500 PMCID: PMC9167172 DOI: 10.1007/s40200-022-01041-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 04/16/2022] [Indexed: 11/29/2022]
Abstract
Purpose Coronary artery disease (CAD) is a major cause of death worldwide. There is relatively little data available on the genetic susceptibility to CAD in the Iraqi population. We have therefore investigated the association between angiotensin II type 1 receptor gene polymorphism A1166C and the presence of CAD in a sample of the Iraqi population. Methods This case-control study enrolled 150 CAD patients, with CAD confirmed by coronary angiography, and 200 controls. The AT1R polymorphism A1166C was analyzed by the allele-specific polymerase chain reaction (AS-PCR) technique. Serum analyses, such as lipid concentrations, were measured and analyzed. Results The C allele and CC genotype frequencies were significantly higher in patients with CAD compared to the controls. Logistic regression analysis showed that the codominant, dominant, and recessive models were associated with risk of CAD of (OR = 1.32, 95% CI: 1.2-1.4, P = 0.000; OR = 1.25, 95% CI: 1.1-1.3, P = 0.000, OR = 1.27, 95% CI: 1.1-1.3, P = 0.000, OR = 1.18, 95% CI: 1.0-1.4), respectively. In the patient group, the presence of the mutant C allele was significantly associated with higher levels of CAD risk factors such as total cholesterol (TC) and low-density lipoprotein (LDL). Conclusion The study indicated that the A1166C polymorphism may be associated with the presence of CAD in the Iraqi population. The AT1R polymorphism may therefore be a useful marker of susceptibility to CAD.
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Affiliation(s)
- Mazin Thamir Abdul-Hasan
- Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, University of Kufa, Najaf, Iraq
| | - Ali M Omara
- Department of Clinical Biochemistry, Faculty of Medicine, University of Al-Ameed, Karbala, Iraq
| | - Dhafer A F Al-Koofee
- Department of Clinical Laboratory Science, Faculty of Pharmacy, University of Kufa, Najaf, Iraq
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Lu X, Liu Z, Cui Q, Liu F, Li J, Niu X, Shen C, Hu D, Huang K, Chen J, Xing X, Zhao Y, Lu F, Liu X, Cao J, Chen S, Ma H, Yu L, Wu X, Wu X, Li Y, Zhang H, Mo X, Zhao L, Huang J, Wang L, Wen W, Shu XO, Takeuchi F, Koh WP, Tai ES, Cheng CY, Wong TY, Chang X, Chan MYY, Gao W, Zheng H, Chen K, Chen J, He J, Tang CSM, Lam KSL, Tse HF, Cheung CYY, Takahashi A, Kubo M, Kato N, Terao C, Kamatani Y, Sham PC, Heng CK, Hu Z, Chen YE, Wu T, Shen H, Willer CJ, Gu D. A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study. Eur Heart J 2022; 43:1702-1711. [PMID: 35195259 PMCID: PMC9076396 DOI: 10.1093/eurheartj/ehac093] [Citation(s) in RCA: 93] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 11/22/2021] [Accepted: 02/14/2022] [Indexed: 12/15/2022] Open
Abstract
AIMS To construct a polygenic risk score (PRS) for coronary artery disease (CAD) and comprehensively evaluate its potential in clinical utility for primary prevention in Chinese populations. METHODS AND RESULTS Using meta-analytic approach and large genome-wide association results for CAD and CAD-related traits in East Asians, a PRS comprising 540 genetic variants was developed in a training set of 2800 patients with CAD and 2055 controls, and was further assessed for risk stratification for CAD integrating with the guideline-recommended clinical risk score in large prospective cohorts comprising 41 271 individuals. During a mean follow-up of 13.0 years, 1303 incident CAD cases were identified. Individuals with high PRS (the highest 20%) had about three-fold higher risk of CAD than the lowest 20% (hazard ratio 2.91, 95% confidence interval 2.43-3.49), with the lifetime risk of 15.9 and 5.8%, respectively. The addition of PRS to the clinical risk score yielded a modest yet significant improvement in C-statistic (1%) and net reclassification improvement (3.5%). We observed significant gradients in both 10-year and lifetime risk of CAD according to the PRS within each clinical risk strata. Particularly, when integrating high PRS, intermediate clinical risk individuals with uncertain clinical decision for intervention would reach the risk levels (10-year of 4.6 vs. 4.8%, lifetime of 17.9 vs. 16.6%) of high clinical risk individuals with intermediate (20-80%) PRS. CONCLUSION The PRS could stratify individuals into different trajectories of CAD risk, and further refine risk stratification for CAD within each clinical risk strata, demonstrating a great potential to identify high-risk individuals for targeted intervention in clinical utility.
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Affiliation(s)
- Xiangfeng Lu
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Zhongying Liu
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Qingmei Cui
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Fangchao Liu
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Jianxin 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 and Peking Union Medical College, Beijing 100037, China
| | - Xiaoge Niu
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen 518071, China
| | - Keyong Huang
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Jichun Chen
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Xiaolong Xing
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Fanghong Lu
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People’s Hospital and Cardiovascular Institute, Guangzhou 510080, China
| | - Jie Cao
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Shufeng Chen
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Hongxia Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial People’s Hospital, Fuzhou 350014, China
| | - Xianping Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Xigui Wu
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Ying 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 and Peking Union Medical College, Beijing 100037, China
| | - Huan Zhang
- Center for Genetic Epidemiology and Genomics, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou 215123, China
| | - Xingbo Mo
- Center for Genetic Epidemiology and Genomics, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou 215123, China
| | - Liancheng Zhao
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Jianfeng Huang
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Laiyuan Wang
- 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 and Peking Union Medical College, Beijing 100037, China
| | - Wanqing Wen
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiao-Ou Shu
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University Health System, Singapore
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Tien yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS, Medical School, Singapore
| | - Xuling Chang
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Khoo Teck Puat—National University Children’s Medical Institute, National University Health System, Singapore
| | - Mark Yan-Yee Chan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- National University Heart Centre, National University Health System, Singapore
| | - Wei Gao
- Department of Cardiology, Institute of Vascular Medicine, Peking University Third Hospital, Beijing, China
| | - Hong Zheng
- Department of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, Tianjin Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, Tianjin Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Jing Chen
- Department of Medicine, Tulane University School of Medicine, and Tulane University Translational Science Institute, New Orleans, LA, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, and Tulane University Translational Science Institute, New Orleans, LA, USA
| | - Clara Sze-man Tang
- Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Karen Siu Ling Lam
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Hung-fat Tse
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Chloe Yu Yan Cheung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Atsushi Takahashi
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Genomic Medicine, Research Institute, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Michiaki Kubo
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Pak Chung Sham
- Centre for PanorOmic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Eugene Chen
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Tangchun Wu
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Cristen J Willer
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Dongfeng Gu
- 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 and Peking Union Medical College, Beijing 100037, China
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Zhuo J, Wu Y, Li W, Li Z, Ding Y, Jin T. Missense Variant rs28362680 in BTNL2 Reduces Risk of Coronary Heart Disease. Pharmgenomics Pers Med 2022; 15:449-464. [PMID: 35572349 PMCID: PMC9091699 DOI: 10.2147/pgpm.s353085] [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: 12/08/2021] [Accepted: 03/04/2022] [Indexed: 11/23/2022] Open
Abstract
Background The pathological basis of coronary heart disease (CHD) is atherosclerosis. BTNL2 can inhibit the activation of T cells. We aimed to explore the association between BTNL2 genetic variants and CHD risk in the southern Chinese Han population. Methods We recruited 1419 participants to perform an association analysis between missense variants in BTNL2 and CHD risk through SNPStats online software. Genotyping of all candidate SNPs were completed by the Agena MassARRAY. In addition, we used false-positive report probability analysis to detect whether the positive findings were noteworthy observations. We also used Haploview 4.2 software and SNPStats online software to conduct the haplotype analysis and analysis of linkage disequilibrium (LD). Finally, the interaction of SNP-SNP in CHD risk was evaluated by multi-factor dimensionality reduction (MDR). Results The results showed that BTNL2-rs35624343, -rs117896888, -rs41441651, -rs41417449, -rs28362680 and -rs2076523 were significantly associated with the CHD susceptibility. Especially for BTNL2-rs28362680, the allele A (OR = 0.68, p < 0.0001), genotype AA (OR = 0.40, p = 0.001) or GA (OR = 0.68, p < 0.0001) were associated with the reducing CHD risk. And -rs28362680 significantly reduced the CHD risk under all genetic models (dominant: OR = 0.64, p < 0.0001; recessive: OR = 0.47, p = 0.003; overdominant: OR = 0.73, p = 0.004; log-additive: OR = 0.66, p < 0.0001). And -rs28362680 was also closely associated with CHD risk reduction in all stratified analyses (age, gender, smoking, drinking, hypertension and diabetes). In addition, haplotype analysis showed that the “Crs117896888Crs41441651Trs41417449Ars28362680” (OR = 0.65, p < 0.0001) and “Grs117896888Trs41441651Crs41417449Ars28362680” (OR = 0.68, p = 0.013) may reduce CHD risk. Conclusion Missense variants (rs35624343, rs117896888, rs41441651, rs41417449, rs28362680, rs2076523) may be protective factors for the CHD risk. In particular, there were sufficient evidences that BTNL2-rs28362680 can protective CHD risk.
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Affiliation(s)
- Jian Zhuo
- Department of Emergency Service, People’s Hospital of Wanning, Wanning, Hainan, 571500, People’s Republic of China
| | - Yingchun Wu
- Department of Intensive Care Unit, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570311, Hainan, People’s Republic of China
| | - Wei Li
- Department of Emergency Service, People’s Hospital of Wanning, Wanning, Hainan, 571500, People’s Republic of China
| | - Zerong Li
- Department of Emergency Service, People’s Hospital of Wanning, Wanning, Hainan, 571500, People’s Republic of China
| | - Yipeng Ding
- Department of General Practice, Hainan General Hospital, Hainan affiliated Hospital of Hainan Medical University, Haikou, 570311, Hainan, People’s Republic of China
- Correspondence: Yipeng Ding, Department of General Practice, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, No. 19, Xinhua Road, Xiuying District, Haikou, 570311, Hainan, People’s Republic of China, Tel +86-18976335858, Email
| | - Tianbo Jin
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi‘an, Shaanxi, 710069, People’s Republic of China
- Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi’an, People’s Republic of China
- Tianbo Jin, Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, #229 Taibai North Road, Xi’an, 710069, Shaanxi, People’s Republic of China, Tel/Fax +86-29-88895902, Email
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Cheng Z, Zhang Y, Zhuo Y, Fan J, Xu Y, Li M, Chen H, Zhou L. LncRNA TARID induces cell proliferation through cell cycle pathway associated with coronary artery disease. Mol Biol Rep 2022; 49:4573-4581. [PMID: 35304681 DOI: 10.1007/s11033-022-07304-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 02/23/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND/AIM Long non-coding RNA TARID (lncRNA TARID) can activate the tumor suppressor TCF21 in tumorigenesis by inducing promoter demethylation. However, the impact on lncRNA TARID and its variants of coronary artery disease (CAD) are poorly understood. METHODS We performed a case-control study enrolling 949 cases and 892 controls to assess genotype. Five variants were genotyped by TaqMan assay. 20 cases and 20 controls were used to evaluate the expression of lncRNA TARID. The cell proliferation rate was evaluated by CCK-8. The RT-qPCR and cell cycle analysis were applied to examine cell proliferation-related mRNA and cell distribution. RESULTS This study indicated that rs2327433 GG genotype was associated with CAD risk adjusting for traditional risk factors (OR = 2.74, 95%CI: 1.10-6.83, P = 0.03). Our results analyses revealed that the genotype of rs2327433 was related to the proportion of CAD patients with left anterior descending artery disease and left circumflex artery disease (P = 0.025 and P = 0.025, respectively). The results showed that the minor allele frequency of rs2327433 was significantly correlated with the severity of the disease (P = 0.029). The eQTL analysis showed that rs2327433 may affect the transcription factors TCF21 regulated by lncRNA TARID. We found that TARID silencing regulated cell proliferation and altered cell cycle progression by induced upregulation of CDK1 and PCNA. CONCLUSIONS SNP rs2327433 in lncRNA TARID was associated with CAD risk and the severity of CAD in the Chinese Han population. Furthermore, SNP rs2327433 may affect the expression of atherosclerosis-related transcription factor TCF21 regulated by lncRNA TARID. Finally, our study provided a new lncRNA-dictated regulatory mechanism participating in cell proliferation.
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Affiliation(s)
- Zheng Cheng
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China
| | - Yonghong Zhang
- Chongqing Research Center for Pharmaceutical Engineering, College of Pharmacy, Chongqing Medical University, Chongqing, China
| | - Yang Zhuo
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China
| | - Jie Fan
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China
| | - Ying Xu
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China
| | - Mengmeng Li
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China
| | - Hao Chen
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China
| | - Li Zhou
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China.
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Jia M, Li Q, Guo J, Shi W, Zhu L, Huang Y, Li Y, Wang L, Ma S, Zhuang T, Wang X, Pan Q, Wei X, Qin Y, Li X, Jin J, Zhi X, Tang J, Jing Q, Li S, Jiang L, Qu L, Osto E, Zhang J, Wang X, Yu B, Meng D. Deletion of BACH1 Attenuates Atherosclerosis by Reducing Endothelial Inflammation. Circ Res 2022; 130:1038-1055. [PMID: 35196865 DOI: 10.1161/circresaha.121.319540] [Citation(s) in RCA: 95] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The transcription factor BACH1 (BTB and CNC homology 1) suppressed endothelial cells (ECs) proliferation and migration and impaired angiogenesis in the ischemic hindlimbs of adult mice. However, the role and underlying mechanisms of BACH1 in atherosclerosis remain unclear. METHODS Mouse models of atherosclerosis in endothelial cell (EC)-specific-Bach1 knockout mice were used to study the role of BACH1 in the regulation of atherogenesis and the underlying mechanisms. RESULTS Genetic analyses revealed that coronary artery disease-associated risk variant rs2832227 was associated with BACH1 gene expression in carotid plaques from patients. BACH1 was upregulated in ECs of human and mouse atherosclerotic plaques. Endothelial Bach1 deficiency decreased turbulent blood flow- or western diet-induced atherosclerotic lesions, macrophage content in plaques, expression of endothelial adhesion molecules (ICAM1 [intercellular cell adhesion molecule-1] and VCAM1 [vascular cell adhesion molecule-1]), and reduced plasma TNF-α (tumor necrosis factor-α) and IL-1β levels in atherosclerotic mice. BACH1 deletion or knockdown inhibited monocyte-endothelial adhesion and reduced oscillatory shear stress or TNF-α-mediated induction of endothelial adhesion molecules and/or proinflammatory cytokines in mouse ECs, human umbilical vein ECs, and human aortic ECs. Mechanistic studies showed that upon oscillatory shear stress or TNF-α stimulation, BACH1 and YAP (yes-associated protein) were induced and translocated into the nucleus in ECs. BACH1 upregulated YAP expression by binding to the YAP promoter. BACH1 formed a complex with YAP inducing the transcription of adhesion molecules. YAP overexpression in ECs counteracted the antiatherosclerotic effect mediated by Bach1-deletion in mice. Rosuvastatin inhibited BACH1 expression by upregulating microRNA let-7a in ECs, and decreased Bach1 expression in the vascular endothelium of hyperlipidemic mice. BACH1 was colocalized with YAP, and the expression of BACH1 was positively correlated with YAP and proinflammatory genes, as well as adhesion molecules in human atherosclerotic plaques. CONCLUSIONS These data identify BACH1 as a mechanosensor of hemodynamic stress and reveal that the BACH1-YAP transcriptional network is essential to vascular inflammation and atherogenesis. BACH1 shows potential as a novel therapeutic target in atherosclerosis.
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Affiliation(s)
- Mengping Jia
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Qinhan Li
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Jieyu Guo
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Weihao Shi
- Vascular Service, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, China. (W.S., L.Z., Y.H., B.Y.)
| | - Lei Zhu
- Vascular Service, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, China. (W.S., L.Z., Y.H., B.Y.)
| | - Yijun Huang
- Vascular Service, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, China. (W.S., L.Z., Y.H., B.Y.)
| | - Yongbo Li
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Li Wang
- Department of Biomedical Sciences, City University of Hong Kong, China (L.W.)
| | - Siyu Ma
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Tao Zhuang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Xiaoqun Wang
- Department of Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Xiaoqun Wang.)
| | - Qi Pan
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Xiangxiang Wei
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Yue Qin
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Xiaobo Li
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Jiayu Jin
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Xiuling Zhi
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Jingdong Tang
- Department of General Surgery, Shanghai Pudong Hospital, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, China (J.T., B.Y.)
| | - Qing Jing
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Innovation Center for Intervention of Chronic Disease and Promotion of Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, China (Q.J.)
| | - Shanqun Li
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Lindi Jiang
- Department of Rheumatology, Zhongshan Hospital, (L.J.).,Department of General Surgery, Shanghai Pudon (L.J.)
| | - Lefeng Qu
- Department of Vascular and Endovascular Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China (L.Q.)
| | - Elena Osto
- Institute of Clinical Chemistry and Department of Cardiology, University Heart Center, University and University Hospital Zurich, Switzerland (E.O.)
| | - Jianyi Zhang
- Department of Biomedical Engineering, University of Alabama at Birmingham (J.Z.)
| | - Xinhong Wang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
| | - Bo Yu
- Vascular Service, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, China. (W.S., L.Z., Y.H., B.Y.).,Department of General Surgery, Shanghai Pudong Hospital, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, China (J.T., B.Y.)
| | - Dan Meng
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei., Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang, D.M.).,Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (M.J., Q.L., J.G., Y.L., S.M., T.Z., Q.P., X. Wei, Y.Q., X.L., J.J., X.Z., S.L., Xinhong Wang., D.M.)
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Jia H, Chen M, Cai Y, Luo X, Hou G, Li Y, Cai C, Chen J, Li Q, Miu KK, Fung SH, Wang Z, Huang R, Shen H, Lu L. A new and spontaneous animal model for ankylosing spondylitis is found in cynomolgus monkeys. Arthritis Res Ther 2022; 24:1. [PMID: 34980262 PMCID: PMC8722021 DOI: 10.1186/s13075-021-02679-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 11/11/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Ankylosing spondylitis is a progressive, disabling joint disease that affects millions worldwide. Given its unclear etiology, studies of ankylosing spondylitis relied heavily on drug-induced or transgenic rodent models which retain only partial clinical features. There is obviously a lack of a useful disease model to conduct comprehensive mechanistic studies. METHODS We followed a group of cynomolgus monkeys having joint lesions reported of spinal stiffness for 2 years by conducting hematological testing, radiographic examination, family aggregation analysis, pathological analysis, and genetic testing. RESULTS The results confirmed that these diseased animals suffered from spontaneous ankylosing spondylitis with clinical features recapitulating human ankylosing spondylitis disease progression, manifested by pathological changes and biochemical indicators similar to that of ankylosing spondylitis patients. CONCLUSION The study offers a promising non-human primate model for spontaneous ankylosing spondylitis which may serve as an excellent substitute for its pre-clinical research.
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Affiliation(s)
- Huanhuan Jia
- School of Life Science and Biopharmacy, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou, China
- Guangdong Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, China
| | - Meili Chen
- Guangdong Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, China
| | - Yanzhen Cai
- School of Life Science and Biopharmacy, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xiaoling Luo
- School of Life Science and Biopharmacy, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou, China
| | - Gang Hou
- Department of Orthopedics, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Yongfeng Li
- Guangzhou Blooming-Spring Biological Research Institute, Guangzhou, China
| | - Chunmei Cai
- School of Life Science and Biopharmacy, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou, China
| | - Jun Chen
- School of Life Science and Biopharmacy, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou, China
| | - Qingnan Li
- School of Life Science and Biopharmacy, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou, China
- Guangdong Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, China
| | - Kai-Kei Miu
- Developmental and Regenerative Biology Theme, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Sin-Hang Fung
- Developmental and Regenerative Biology Theme, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Zhangting Wang
- Developmental and Regenerative Biology Theme, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Ren Huang
- Guangdong Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, China
| | - Huiyong Shen
- Department of Orthopedics, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Li Lu
- School of Life Science and Biopharmacy, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou, China.
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40
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Zha L, Dong J, Chen Q, Liao Y, Zhang H, Xie T, Tang T, Xia N, Zhang M, Jiao J, Zhou Y, Wu J, Yang X, Xu C, Wang QK, Tu X, Cheng X, Nie S. Genetic association analysis between IL9 and coronary artery disease in a Chinese Han population. Cytokine 2021; 150:155761. [PMID: 34814015 DOI: 10.1016/j.cyto.2021.155761] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 09/04/2021] [Accepted: 11/02/2021] [Indexed: 11/28/2022]
Abstract
Interleukin-9 (IL-9) plays important role in coronary artery disease (CAD). However, the exact relationship between them is not explored yet. Here, four tag SNPs covering IL9 (rs31563, rs2069868, rs2069870 and rs31564) were selected to conduct case-control association analyses in a total of 3704 individuals from Chinese Han population (1863 CAD vs 1841 control). Results showed that: first, rs2069868 was associated with CAD combined with hypertension (Padj = 0.027); second, IL9 haplotype (CGAT) was associated with CAD (Padj = 0.035), and the combination genotype of "rs31563_CC/rs31564_TT" would remarkably decrease the risk of CAD (Padj = 0.001); third, significant associations were found between rs2069870 and decreased LDL-c levels and decreased total cholesterol levels, and between rs31563 and increased HDL-c levels (Padj < 0.05). Therefore, we conclude that IL9 might play a causal role in CAD by interacted with CAD traditional risk factors, which might confer a new way to improve the prevention and treatment of CAD.
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Affiliation(s)
- Lingfeng Zha
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Jiangtao Dong
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Qianwen Chen
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Maternal and Child Health Hospital, Wuhan 430070, China
| | - Yuhua Liao
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Hongsong Zhang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210006, China
| | - Tian Xie
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Tingting Tang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Ni Xia
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Min Zhang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Jiao Jiao
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Yingchao Zhou
- Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Jianfei Wu
- Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Xiangping Yang
- School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Chengqi Xu
- Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Qing K Wang
- Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Xin Tu
- Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology, Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Xiang Cheng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Shaofang Nie
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
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41
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Kee Z, Ong SM, Heng CK, Ooi DSQ. Androgen-dependent tissue factor pathway inhibitor regulating protein: a review of its peripheral actions and association with cardiometabolic diseases. J Mol Med (Berl) 2021; 100:185-196. [PMID: 34797389 DOI: 10.1007/s00109-021-02160-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 10/15/2021] [Accepted: 10/25/2021] [Indexed: 02/07/2023]
Abstract
The first genome-wide association study on coronary artery disease (CAD) in the Han Chinese population identified C6orf105 as a susceptibility gene. The C6orf105 gene was later found to encode for a protein that regulates tissue factor pathway inhibitor (TFPI) expression in endothelial cells in an androgen-dependent manner, and the novel protein was thus termed androgen-dependent TFPI-regulating protein (ADTRP). Since the identification of ADTRP, there have been several studies associating genetic variants on the ADTRP gene with CAD risk, as well as research providing mechanistic insights on this novel protein and its functional role. ADTRP is a membrane protein, whose expression is upregulated by androgen, GATA-binding protein 2, oxidized low-density lipoprotein, peroxisome proliferator-activated receptors, and low-density lipoprotein receptors. ADTRP regulates multiple downstream targets involved in coagulation, inflammation, endothelial function, and vascular integrity. In addition, ADTRP functions as a fatty acid esters of hydroxy fatty acid (FAHFA)-specific hydrolase that is involved in energy metabolism. Current evidence suggests that ADTRP may play a role in the pathogenesis of atherosclerosis, CAD, obesity, and metabolic disorders. This review summarizes the current literature on ADTRP, with a focus on the peripheral actions of ADTRP, including expression, genetic variations, signaling pathways, and function. The evidence linking ADTRP and cardiometabolic diseases will also be discussed.
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Affiliation(s)
- Zizheng Kee
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block Level 12, 1E Kent Ridge Road, 119228, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Kent Ridge, Singapore
| | - Sze Min Ong
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block Level 12, 1E Kent Ridge Road, 119228, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Kent Ridge, Singapore
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block Level 12, 1E Kent Ridge Road, 119228, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Kent Ridge, Singapore
| | - Delicia Shu Qin Ooi
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block Level 12, 1E Kent Ridge Road, 119228, Singapore.
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Kent Ridge, Singapore.
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Bhat JA, Yu D, Bohra A, Ganie SA, Varshney RK. Features and applications of haplotypes in crop breeding. Commun Biol 2021; 4:1266. [PMID: 34737387 PMCID: PMC8568931 DOI: 10.1038/s42003-021-02782-y] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 10/09/2021] [Indexed: 12/17/2022] Open
Abstract
Climate change with altered pest-disease dynamics and rising abiotic stresses threatens resource-constrained agricultural production systems worldwide. Genomics-assisted breeding (GAB) approaches have greatly contributed to enhancing crop breeding efficiency and delivering better varieties. Fast-growing capacity and affordability of DNA sequencing has motivated large-scale germplasm sequencing projects, thus opening exciting avenues for mining haplotypes for breeding applications. This review article highlights ways to mine haplotypes and apply them for complex trait dissection and in GAB approaches including haplotype-GWAS, haplotype-based breeding, haplotype-assisted genomic selection. Improvement strategies that efficiently deploy superior haplotypes to hasten breeding progress will be key to safeguarding global food security.
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Affiliation(s)
- Javaid Akhter Bhat
- National Center for Soybean Improvement, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Deyue Yu
- National Center for Soybean Improvement, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Abhishek Bohra
- Crop Improvement Division, ICAR- Indian Institute of Pulses Research (ICAR- IIPR), Kanpur, India
| | - Showkat Ahmad Ganie
- Department of Biotechnology, Visva-Bharati, Santiniketan, 731235, WB, India.
| | - Rajeev K Varshney
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
- State Agricultural Biotechnology Centre, Centre for Crop & Food Research Innovation, Food Futures Institute, Murdoch University, Murdoch, WA, Australia.
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McCaffrey TA, Toma I, Yang Z, Katz R, Reiner J, Mazhari R, Shah P, Tackett M, Jones D, Jepson T, Falk Z, Wargodsky R, Shtakalo D, Antonets D, Ertle J, Kim JH, Lai Y, Arslan Z, Aledort E, Alfaraidy M, Laurent GS. RNA sequencing of blood in coronary artery disease: involvement of regulatory T cell imbalance. BMC Med Genomics 2021; 14:216. [PMID: 34479557 PMCID: PMC8414682 DOI: 10.1186/s12920-021-01062-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 08/19/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Cardiovascular disease had a global prevalence of 523 million cases and 18.6 million deaths in 2019. The current standard for diagnosing coronary artery disease (CAD) is coronary angiography. Surprisingly, despite well-established clinical indications, up to 40% of the one million invasive cardiac catheterizations return a result of 'no blockage'. The present studies employed RNA sequencing of whole blood to identify an RNA signature in patients with angiographically confirmed CAD. METHODS Whole blood RNA was depleted of ribosomal RNA (rRNA) and analyzed by single-molecule sequencing of RNA (RNAseq) to identify transcripts associated with CAD (TRACs) in a discovery group of 96 patients presenting for elective coronary catheterization. The resulting transcript counts were compared between groups to identify differentially expressed genes (DEGs). RESULTS Surprisingly, 98% of DEGs/TRACs were down-regulated ~ 1.7-fold in patients with mild to severe CAD (> 20% stenosis). The TRACs were independent of comorbid risk factors for CAD, such as sex, hypertension, and smoking. Bioinformatic analysis identified an enrichment in transcripts such as FoxP1, ICOSLG, IKZF4/Eos, SMYD3, TRIM28, and TCF3/E2A that are likely markers of regulatory T cells (Treg), consistent with known reductions in Tregs in CAD. A validation cohort of 80 patients confirmed the overall pattern (92% down-regulation) and supported many of the Treg-related changes. TRACs were enriched for transcripts associated with stress granules, which sequester RNAs, and ciliary and synaptic transcripts, possibly consistent with changes in the immune synapse of developing T cells. CONCLUSIONS These studies identify a novel mRNA signature of a Treg-like defect in CAD patients and provides a blueprint for a diagnostic test for CAD. The pattern of changes is consistent with stress-related changes in the maturation of T and Treg cells, possibly due to changes in the immune synapse.
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Affiliation(s)
- Timothy A McCaffrey
- Division of Genomic Medicine, Department of Medicine, The George Washington Medical Center, The George Washington University, 2300 I Street NW, Ross Hall 443A, Washington, DC, 20037, USA.
- The St. Laurent Institute, Vancouver, WA, USA.
- Department of Microbiology, Immunology, and Tropical Medicine, The George Washington University, Washington, DC, 20037, USA.
- True Bearing Diagnostics, Washington, DC, 20037, USA.
| | - Ian Toma
- Division of Genomic Medicine, Department of Medicine, The George Washington Medical Center, The George Washington University, 2300 I Street NW, Ross Hall 443A, Washington, DC, 20037, USA
- Department of Clinical Research and Leadership, The George Washington University, Washington, DC, 20037, USA
- True Bearing Diagnostics, Washington, DC, 20037, USA
| | - Zhaoquing Yang
- Division of Genomic Medicine, Department of Medicine, The George Washington Medical Center, The George Washington University, 2300 I Street NW, Ross Hall 443A, Washington, DC, 20037, USA
| | - Richard Katz
- Division of Cardiology, Department of Medicine, The George Washington University , Washington, DC, 20037, USA
| | - Jonathan Reiner
- Division of Cardiology, Department of Medicine, The George Washington University , Washington, DC, 20037, USA
| | - Ramesh Mazhari
- Division of Cardiology, Department of Medicine, The George Washington University , Washington, DC, 20037, USA
| | - Palak Shah
- Inova Heart and Vascular Institute, Fairfax, VA, USA
| | | | | | - Tisha Jepson
- SeqLL, Inc., Woburn, MA, USA
- The St. Laurent Institute, Vancouver, WA, USA
- True Bearing Diagnostics, Washington, DC, 20037, USA
| | - Zachary Falk
- Division of Genomic Medicine, Department of Medicine, The George Washington Medical Center, The George Washington University, 2300 I Street NW, Ross Hall 443A, Washington, DC, 20037, USA
| | - Richard Wargodsky
- Division of Genomic Medicine, Department of Medicine, The George Washington Medical Center, The George Washington University, 2300 I Street NW, Ross Hall 443A, Washington, DC, 20037, USA
| | - Dmitry Shtakalo
- A.P. Ershov Institute of Informatics Systems SB RAS, 6, Acad. Lavrentjeva Ave, Novosibirsk, Russia, 630090
| | - Denis Antonets
- A.P. Ershov Institute of Informatics Systems SB RAS, 6, Acad. Lavrentjeva Ave, Novosibirsk, Russia, 630090
| | - Justin Ertle
- Division of Genomic Medicine, Department of Medicine, The George Washington Medical Center, The George Washington University, 2300 I Street NW, Ross Hall 443A, Washington, DC, 20037, USA
| | - Ju H Kim
- Division of Cardiology, Department of Medicine, The George Washington University , Washington, DC, 20037, USA
| | - Yinglei Lai
- Department of Statistics, Biostatistics Center, The George Washington University, Washington, DC, 20037, USA
| | - Zeynep Arslan
- Division of Genomic Medicine, Department of Medicine, The George Washington Medical Center, The George Washington University, 2300 I Street NW, Ross Hall 443A, Washington, DC, 20037, USA
| | - Emily Aledort
- Division of Genomic Medicine, Department of Medicine, The George Washington Medical Center, The George Washington University, 2300 I Street NW, Ross Hall 443A, Washington, DC, 20037, USA
| | - Maha Alfaraidy
- Division of Genomic Medicine, Department of Medicine, The George Washington Medical Center, The George Washington University, 2300 I Street NW, Ross Hall 443A, Washington, DC, 20037, USA
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Weber SM, Carroll SL. The Role of R-Ras Proteins in Normal and Pathologic Migration and Morphologic Change. THE AMERICAN JOURNAL OF PATHOLOGY 2021; 191:1499-1510. [PMID: 34111428 PMCID: PMC8420862 DOI: 10.1016/j.ajpath.2021.05.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 05/11/2021] [Accepted: 05/26/2021] [Indexed: 12/20/2022]
Abstract
The contributions that the R-Ras subfamily [R-Ras, R-Ras2/teratocarcinoma 21 (TC21), and M-Ras] of small GTP-binding proteins make to normal and aberrant cellular functions have historically been poorly understood. However, this has begun to change with the realization that all three R-Ras subfamily members are occasionally mutated in Noonan syndrome (NS), a RASopathy characterized by the development of hematopoietic neoplasms and abnormalities affecting the immune, cardiovascular, and nervous systems. Consistent with the abnormalities seen in NS, a host of new studies have implicated R-Ras proteins in physiological and pathologic changes in cellular morphology, adhesion, and migration in the cardiovascular, immune, and nervous systems. These changes include regulating the migration and homing of mature and immature immune cells, vascular stabilization, clotting, and axonal and dendritic outgrowth during nervous system development. Dysregulated R-Ras signaling has also been linked to the pathogenesis of cardiovascular disease, intellectual disabilities, and human cancers. This review discusses the structure and regulation of R-Ras proteins and our current understanding of the signaling pathways that they regulate. It explores the phenotype of NS patients and their implications for the R-Ras subfamily functions. Next, it covers recent discoveries regarding physiological and pathologic R-Ras functions in key organ systems. Finally, it discusses how R-Ras signaling is dysregulated in cancers and mechanisms by which this may promote neoplasia.
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Affiliation(s)
- Shannon M Weber
- Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, South Carolina
| | - Steven L Carroll
- Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, South Carolina.
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45
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Gemfibrozil derivatives as activators of soluble guanylyl cyclase - A structure-activity study. Eur J Med Chem 2021; 224:113729. [PMID: 34365128 DOI: 10.1016/j.ejmech.2021.113729] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 07/23/2021] [Accepted: 07/27/2021] [Indexed: 01/02/2023]
Abstract
Previous studies demonstrated that anti-hyperlipidemic drug gemfibrozil acts as NO- and heme-independent activator of NO receptor soluble guanylyl cyclase. A series of new gemfibrozil derivatives were synthesized and evaluated for sGC activation. The structure-activity relationship study identified the positions in gemfibrozil's scaffold that are detrimental for sGC activation and those that are amendable for optimizing modifications. Compared with gemfibrozil, compounds 7c and 15b were more potent activators of cGMP-forming activity of purified sGC and exhibited enhanced relaxation of preconstricted mouse thoracic aorta rings. These studies established the overall framework needed for futher improvement of sGC activators based on gemfibrozil scaffold.
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46
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Koitsopoulos PG, Rabkin SW. The association of polymorphism in PHACTR1 rs9349379 and rs12526453 with coronary artery atherosclerosis or coronary artery calcification. A systematic review. Coron Artery Dis 2021; 32:448-458. [PMID: 33660664 DOI: 10.1097/mca.0000000000000942] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE There is a need to identify genetic factors that may produce coronary artery atherosclerotic disease (CAD) that are not involved in the usual risk factors leading to CAD. Previous studies have often equated coronary artery calcification (CAC) with CAD with coronary stenosis or its sequelae. The objective of this study was to examine the relationship between phosphatase and actin regulator 1 (PHACTR1) single nucleotide polymorphisms (SNPs) and the type of coronary artery disease CAD versus CAC. METHOD A systematic review of the literature was conducted to answer the question of whether PHACTR1 gene polymorphisms are associated with coronary artery disease expressed as coronary artery atherosclerosis or CAC. RESULTS Eighteen studies spanning seven PHACTR1 SNPs were identified and evaluated for the relationship between PHACTR1 and coronary artery disease. There were significant relationships between rs9349379, rs12526453, and CAD with odds ratios (ORs) (confidence interval) of, respectively, 1.15 (1.13-1.17), 1.13 (1.09-1.17) but not for rs2026458, 1.03 (0.88-1.19). The OR for CAC was 1.22 (1.18-1.26) for rs9349379 and 1.28 (1.21-1.38) for rs12526453. CONCLUSIONS Several PHACTR1 specifically rs9349379 and rs12526453 polymorphisms but not rs2026458, are associated with CAD. There are differences in the association of PHACTR1 SNPs with CAC. PHACTR1 warrants more attention and study for the prevention and treatment of CAD.
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Affiliation(s)
| | - Simon W Rabkin
- Faculty of Medicine
- Department of Medicine (Cardiology), University of British Columbia, Vancouver, Canada
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47
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Kessler T, Schunkert H. Coronary Artery Disease Genetics Enlightened by Genome-Wide Association Studies. JACC Basic Transl Sci 2021; 6:610-623. [PMID: 34368511 PMCID: PMC8326228 DOI: 10.1016/j.jacbts.2021.04.001] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 03/04/2021] [Accepted: 04/01/2021] [Indexed: 12/12/2022]
Abstract
Many cardiovascular diseases are facilitated by strong inheritance. For example, large-scale genetic studies identified hundreds of genomic loci that affect the risk of coronary artery disease. At each of these loci, common variants are associated with disease risk with robust statistical evidence but individually small effect sizes. Only a minority of candidate genes found at these loci are involved in the pathophysiology of traditional risk factors, but experimental research is making progress in identifying novel, and, in part, unexpected mechanisms. Targets identified by genome-wide association studies have already led to the development of novel treatments, specifically in lipid metabolism. This review summarizes recent genetic and experimental findings in this field. In addition, the development and possible clinical usefulness of polygenic risk scores in risk prediction and individualization of treatment, particularly in lipid metabolism, are discussed.
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Affiliation(s)
- Thorsten Kessler
- German Heart Centre Munich, Department of Cardiology, Technical University of Munich, Munich, Germany.,German Centre for Cardiovascular Research (DZHK e.V.), partner site Munich Heart Alliance, Munich, Germany
| | - Heribert Schunkert
- German Heart Centre Munich, Department of Cardiology, Technical University of Munich, Munich, Germany.,German Centre for Cardiovascular Research (DZHK e.V.), partner site Munich Heart Alliance, Munich, Germany
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48
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Su JJ, Yu DSF. Effects of a nurse-led eHealth cardiac rehabilitation programme on health outcomes of patients with coronary heart disease: A randomised controlled trial. Int J Nurs Stud 2021; 122:104040. [PMID: 34333211 DOI: 10.1016/j.ijnurstu.2021.104040] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 07/06/2021] [Accepted: 07/09/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND The uptake of and adherence to cardiac rehabilitation remain suboptimal despite its apparent health benefits in modifying risk factors and slowing disease progression. eHealth refers to the use of information and communication technologies for health-related purposes. It is a promising approach for improving participation in cardiac rehabilitation by enabling instant contact, hypermedia information delivery, technology-monitored functionalities and individualised progress monitoring. AIMS To evaluate the effects of a nurse-led eHealth cardiac rehabilitation (NeCR) system on health behaviours, cardiac self-efficacy, anxiety and depression, health-related quality of life, risk parameters and unplanned use of care services for people with coronary heart disease. DESIGN A single-blinded randomised controlled trial design was used. METHODS The study randomly assigned 146 patients hospitalised for coronary heart disease to receive either the NeCR intervention or the usual care. Underpinned by social cognitive theory, the intervention commenced before hospital discharge with an in-person session by the nurse to identify individualised self-care needs, set goals and develop an action plan to enhance behavioural risk factor modification and orientate the patient to the use of the information and communication technology platform for cardiac rehabilitation. After discharge, the e-platform helped patients gain knowledge of disease management and monitor goal attainment for health behavioural changes. The nurse provided feedback on the patients' goal attainment and lifestyle modifications on a weekly basis in a small group format through the WeChat platform, thus also mobilising peer influence. Data for lifestyle behaviours, physiological risk parameters and clinical outcomes were collected at baseline and at 6 and 12 weeks post-intervention. RESULTS At 6 weeks post-intervention, participants in the intervention group showed significant improvement in the number of steps/day (β = 2628.48, p = .022), the number of minutes/week sitting (β = -640.30, p = .006) and their health-promoting lifestyle profile (β = 25.17, p < .001) compared with the control group. Improvements in the number of steps/day (β = 2520.00, p = .006), the number of minutes/week sitting (β = -719.73, p = .004) and health-promoting lifestyle (β = 16.09, p < .001) were sustained until the 12-week post-intervention endpoint. Moreover, participants showed significantly greater improvement in self-efficacy (β = 0.61, p = .005) and health-related quality of life (mean difference = 0.56, p < .001) than the control group at the study endpoint. CONCLUSIONS The findings of this study demonstrate the effectiveness of the NeCR intervention in modifying behavioural risk factors and improving health-related quality of life. These findings also provide insights into the application of eHealth nursing interventions to enhance the rehabilitation of patients with coronary heart disease. TRIAL REGISTRATION ChiCTR1800020411.
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Affiliation(s)
- Jing Jing Su
- WHO Collaborating Centre for Community Health Services (WHOCC), School of Nursing, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Doris Sau-Fung Yu
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 4/F, William MW Mong Block, 21 Sassoon Road, Hong Kong Special Administrative Region, Pokfulam, Hong Kong, China.
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Abudureyimu S, Abulaiti P, Li H, Xing Z, Liu S, Li W, Gao Y. Roles of endothelial lipase gene related single nucleotide polymorphisms in patients with coronary artery disease. Gene 2021; 788:145669. [PMID: 33882321 DOI: 10.1016/j.gene.2021.145669] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 03/23/2021] [Accepted: 04/15/2021] [Indexed: 10/21/2022]
Abstract
The current work focused on evaluating the roles of endothelial lipase gene (LIPG) related single nucleotide polymorphisms (SNPs) in patients with coronary artery disease (CAD). This study involved 1,883 subjects with 959 CAD patients and 924 healthy controls. Data were harvested to assess the association of LIPG related SNPs including rs3744841, rs3744843, rs3813082 and rs2000813 with the risk of CAD. The CC + AC genotype in rs3813082 played a protective role for CAD [odds ratio (OR) = 0.709, P = 0.039]. Differences existed in apolipoprotein-A1 (Apo-A1) and high-density lipoprotein-cholesterol (HDL-C) levels in rs3744843 variant between control and CAD groups. The rs3744841 variant increased the levels of total cholesterol (TC), HDL-C, low-density lipoprotein cholesterol (LDL-C), Apo-A1 and Lipoprotein a (LPa) in the CAD group and TC, LDL-C, HDL-C, Apo-B, Apo-A1 in the control group. The triglyceride (TG) level was lower in rs2000813 variant in the CAD group and elevated in the control group. The rs2000813 variant decreased the number of vascular stenosis while rs3744843 and rs3744841 variants increased the number of vascular stenosis in CAD patients. This study explored the roles of LIPG related SNPs in CAD, showing that CC + AC genotype in rs3813082 was a protective factor for CAD. The rs3744843, rs3744841 and rs2000813 variants were associated with the levels of lipid parameters in CAD patients. The rs3744843, rs3744841 and rs2000813 variants influenced the number of vascular stenosis in CAD patients. The results of our study might be a promising reference for preventing CAD.
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Affiliation(s)
- Shajidan Abudureyimu
- Department of Comprehensive Internal Medicine, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830011 China
| | - Palida Abulaiti
- Department of Comprehensive Internal Medicine, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830011 China
| | - Hui Li
- Department of Comprehensive Internal Medicine, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830011 China
| | - Zhi Xing
- Department of Comprehensive Internal Medicine, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830011 China
| | - Shasha Liu
- Department of Comprehensive Internal Medicine, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830011 China
| | - Wen Li
- Department of Comprehensive Internal Medicine, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830011 China
| | - Ying Gao
- Department of Comprehensive Internal Medicine, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830011 China.
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50
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Kasikara C, Schilperoort M, Gerlach B, Xue C, Wang X, Zheng Z, Kuriakose G, Dorweiler B, Zhang H, Fredman G, Saleheen D, Reilly MP, Tabas I. Deficiency of macrophage PHACTR1 impairs efferocytosis and promotes atherosclerotic plaque necrosis. J Clin Invest 2021; 131:145275. [PMID: 33630758 DOI: 10.1172/jci145275] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 02/23/2021] [Indexed: 12/14/2022] Open
Abstract
Efferocytosis, the process through which apoptotic cells (ACs) are cleared through actin-mediated engulfment by macrophages, prevents secondary necrosis, suppresses inflammation, and promotes resolution. Impaired efferocytosis drives the formation of clinically dangerous necrotic atherosclerotic plaques, the underlying etiology of coronary artery disease (CAD). An intron of the gene encoding PHACTR1 contains rs9349379 (A>G), a common variant associated with CAD. As PHACTR1 is an actin-binding protein, we reasoned that if the rs9349379 risk allele G causes lower PHACTR1 expression in macrophages, it might link the risk allele to CAD via impaired efferocytosis. We show here that rs9349379-G/G was associated with lower levels of PHACTR1 and impaired efferocytosis in human monocyte-derived macrophages and human atherosclerotic lesional macrophages compared with rs9349379-A/A. Silencing PHACTR1 in human and mouse macrophages compromised AC engulfment, and Western diet-fed Ldlr-/- mice in which hematopoietic Phactr1 was genetically targeted showed impaired lesional efferocytosis, increased plaque necrosis, and thinner fibrous caps - all signs of vulnerable plaques in humans. Mechanistically, PHACTR1 prevented dephosphorylation of myosin light chain (MLC), which was necessary for AC engulfment. In summary, rs9349379-G lowered PHACTR1, which, by lowering phospho-MLC, compromised efferocytosis. Thus, rs9349379-G may contribute to CAD risk, at least in part, by impairing atherosclerotic lesional macrophage efferocytosis.
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Affiliation(s)
- Canan Kasikara
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Maaike Schilperoort
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Brennan Gerlach
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Chenyi Xue
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Xiaobo Wang
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Ze Zheng
- Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - George Kuriakose
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | | | - Hanrui Zhang
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Gabrielle Fredman
- Department of Molecular and Cellular Physiology, Albany Medical Center, Albany, New York, USA
| | - Danish Saleheen
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Muredach P Reilly
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.,Irving Institute for Clinical and Translational Research, Columbia University Irving Medical Center, New York, New York, USA
| | - Ira Tabas
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.,Department of Physiology and Cellular Biophysics and.,Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
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