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Elhadad MA, Del C Gómez-Alonso M, Chen CW, Neumeyer S, Delerue T, Rathmann W, Näbauer M, Meisinger C, Kääb S, Seissler J, Graumann J, Koenig W, Suhre K, Gieger C, Völker U, Peters A, Hammer E, Waldenberger M. Plasma proteome association with coronary heart disease and carotid intima media thickness: results from the KORA F4 study. Cardiovasc Diabetol 2024; 23:181. [PMID: 38811951 PMCID: PMC11138055 DOI: 10.1186/s12933-024-02274-3] [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: 08/04/2023] [Accepted: 05/08/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND AND AIMS Atherosclerosis is the main cause of stroke and coronary heart disease (CHD), both leading mortality causes worldwide. Proteomics, as a high-throughput method, could provide helpful insights into the pathological mechanisms underlying atherosclerosis. In this study, we characterized the associations of plasma protein levels with CHD and with carotid intima-media thickness (CIMT), as a surrogate measure of atherosclerosis. METHODS The discovery phase included 1000 participants from the KORA F4 study, whose plasma protein levels were quantified using the aptamer-based SOMAscan proteomics platform. We evaluated the associations of plasma protein levels with CHD using logistic regression, and with CIMT using linear regression. For both outcomes we applied two models: an age-sex adjusted model, and a model additionally adjusted for body mass index, smoking status, physical activity, diabetes status, hypertension status, low density lipoprotein, high density lipoprotein, and triglyceride levels (fully-adjusted model). The replication phase included a matched case-control sample from the independent KORA F3 study, using ELISA-based measurements of galectin-4. Pathway analysis was performed with nominally associated proteins (p-value < 0.05) from the fully-adjusted model. RESULTS In the KORA F4 sample, after Bonferroni correction, we found CHD to be associated with five proteins using the age-sex adjusted model: galectin-4 (LGALS4), renin (REN), cathepsin H (CTSH), and coagulation factors X and Xa (F10). The fully-adjusted model yielded only the positive association of galectin-4 (OR = 1.58, 95% CI = 1.30-1.93), which was successfully replicated in the KORA F3 sample (OR = 1.40, 95% CI = 1.09-1.88). For CIMT, we found four proteins to be associated using the age-sex adjusted model namely: cytoplasmic protein NCK1 (NCK1), insulin-like growth factor-binding protein 2 (IGFBP2), growth hormone receptor (GHR), and GDNF family receptor alpha-1 (GFRA1). After assessing the fully-adjusted model, only NCK1 remained significant (β = 0.017, p-value = 1.39e-06). Upstream regulators of galectin-4 and NCK1 identified from pathway analysis were predicted to be involved in inflammation pathways. CONCLUSIONS Our proteome-wide association study identified galectin-4 to be associated with CHD and NCK1 to be associated with CIMT. Inflammatory pathways underlying the identified associations highlight the importance of inflammation in the development and progression of CHD.
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Affiliation(s)
- Mohamed A Elhadad
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany.
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
- Department of Internal Medicine B, University Medicine Greifswald, Ferdinand-Sauerbruch-Str., 17475, Greifswald, Germany.
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany.
| | - Mónica Del C Gómez-Alonso
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Chien-Wei Chen
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Information Sciences, Biometry and Epidemiology Medical Faculty, Ludwig-Maximilians-University, Munich, Germany
| | - Sonja Neumeyer
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Delerue
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD), Partner Site Düsseldorf, Düsseldorf, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Michael Näbauer
- Medizinische Klinik und Poliklinik I, Klinikum der Universität München, Munich, Germany
- German Research Center for Cardiovascular Disease (DZHK), Partner site Munich Heart Alliance, Munich, Germany
| | - Christa Meisinger
- Chair of Epidemiology, University of Augsburg, 86156, Augsburg, Germany
| | - Stefan Kääb
- German Research Center for Cardiovascular Disease (DZHK), Partner site Munich Heart Alliance, Munich, Germany
- Department of Cardiology, Medical Policlinic and University Clinic I, Munich, Germany
| | - Jochen Seissler
- Department of Internal Medicine IV, University Hospital of Ludwig-Maximilians-University, Munich, Germany
| | - Johannes Graumann
- Department of Medicine, Institute of Translational Proteomics, Philipps-Universität Marburg, Marburg, Germany
| | - Wolfgang Koenig
- German Research Center for Cardiovascular Disease (DZHK), Partner site Munich Heart Alliance, Munich, Germany
- Deutsches Herzzentrum München, Technical University Munich, Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Karsten Suhre
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, 24144, Doha, Qatar
- Department of Biophysics and Physiology, Weill Cornell Medicine, 10065, New York, NY , USA
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Research Center for Cardiovascular Disease (DZHK), Partner site Munich Heart Alliance, Munich, Germany
| | - Uwe Völker
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Annette Peters
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Information Sciences, Biometry and Epidemiology Medical Faculty, Ludwig-Maximilians-University, Munich, Germany
- German Research Center for Cardiovascular Disease (DZHK), Partner site Munich Heart Alliance, Munich, Germany
| | - Elke Hammer
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany.
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
- German Research Center for Cardiovascular Disease (DZHK), Partner site Munich Heart Alliance, Munich, Germany.
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Lee SY, Choi KH, Kim CJ, Lee JM, Song YB, Lee JY, Lee SJ, Lee SY, Kim SM, Yun KH, Cho JY, Ahn HS, Nam CW, Yoon HJ, Park YH, Lee WS, Jeong JO, Song PS, Kim SE, Doh JH, Jo SH, Yoon CH, Kang MG, Koh JS, Lee KY, Lim YH, Cho YH, Cho JM, Jang WJ, Chun KJ, Hong D, Park TK, Yang JH, Choi SH, Gwon HC, Hahn JY. Impact of Intravascular Imaging-Guided Stent Optimization According to Clinical Presentation in Patients Undergoing Complex PCI. JACC Cardiovasc Interv 2024; 17:1231-1243. [PMID: 38811104 DOI: 10.1016/j.jcin.2024.03.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 03/11/2024] [Accepted: 03/19/2024] [Indexed: 05/31/2024]
Abstract
BACKGROUND It is unclear whether the beneficial effects of intravascular imaging-guided stent optimization vary by clinical presentation during complex percutaneous coronary intervention (PCI). OBJECTIVES In this prespecified, stratified subgroup analysis from RENOVATE-COMPLEX-PCI (Randomized Controlled Trial of Intravascular Imaging Guidance versus Angiography-Guidance on Clinical Outcomes After Complex PCI), we sought to compare the outcomes between intravascular imaging vs angiography guidance according to clinical presentation. METHODS Patients with complex coronary artery lesions were randomly assigned to undergo either intravascular imaging-guided PCI or angiography-guided PCI in a 2:1 ratio. The primary endpoint was target vessel failure (TVF), which is a composite of cardiac death, target vessel-related myocardial infarction, or clinically driven target vessel revascularization. RESULTS Of 1,639 patients, 832 (50.8%) presented with acute coronary syndrome (ACS) and 807 (49.2%) with chronic coronary syndrome. During a median follow-up of 2.1 years (Q1-Q3: 1.4-3.0 years), there was no significant interaction between the treatment effect of intravascular imaging and clinical presentation (P for interaction = 0.19). Among patients with ACS, the incidences of TVF were 10.4% in the intravascular imaging group and 14.6% in the angiography group (HR: 0.74; 95% CI: 0.48-1.15; P = 0.18). Among patients with CCS, the incidences of TVF were 5.0% in the intravascular imaging group and 10.4% in the angiography group (HR: 0.46; 95% CI: 0.27-0.80; P = 0.006). Achieving stent optimization by intravascular imaging resulted in a reduced risk of TVF among patients with ACS who were randomly assigned to intravascular imaging-guided PCI for complex coronary lesions (optimized vs unoptimized, 6.5% vs 14.1%; HR: 0.49; 95% CI: 0.27-0.87; P = 0.02) but not those with CCS (5.4% vs 4.7%, HR: 1.18; 95% CI: 0.53-2.59; P = 0.69). CONCLUSIONS No significant interaction was observed between the benefits of intravascular imaging and clinical presentation in the risk of TVF. Stent optimization by intravascular imaging was particularly important for ACS patients. (Intravascular Imaging- Versus Angiography-Guided Percutaneous Coronary Intervention For Complex Coronary Artery Disease [RENOVATE]; NCT03381872).
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Affiliation(s)
- Sang Yoon Lee
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ki Hong Choi
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Chan Joon Kim
- The Catholic University of Korea, Uijeongbu St. Mary's Hospital, Seoul, Korea.
| | - Joo Myung Lee
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Young Bin Song
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong-Young Lee
- Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seung-Jae Lee
- Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sang Yeub Lee
- Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea; Chung-Ang University College of Medicine, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, Korea
| | - Sang Min Kim
- Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | | | | | - Hyo-Suk Ahn
- The Catholic University of Korea, Uijeongbu St. Mary's Hospital, Seoul, Korea
| | | | | | - Yong Hwan Park
- Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Wang Soo Lee
- Chung-Ang University College of Medicine, Chung-Ang University Hospital, Seoul, Korea
| | - Jin-Ok Jeong
- Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Pil Sang Song
- Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Sung Eun Kim
- Inje University Ilsan Paik Hospital, Goyang, Korea
| | | | - Sang-Ho Jo
- Cardiovascular Center, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Chang-Hwan Yoon
- Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea
| | - Min Gyu Kang
- Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Jin-Sin Koh
- Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Kwan Yong Lee
- The Catholic University of Korea, Incheon St. Mary's Hospital, Seoul, Korea
| | - Young-Hyo Lim
- Hanyang University Seoul Hospital, College of Medicine, Hanyang University, Seoul, Korea
| | | | - Jin-Man Cho
- Kyung Hee University Hospital at Gangdong, Seoul, Korea
| | - Woo Jin Jang
- Ewha Womans University College of Medicine, Seoul, Korea
| | - Kook-Jin Chun
- Pusan National University Yangsan Hospital, Yangsan, Korea
| | - David Hong
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Taek Kyu Park
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jeong Hoon Yang
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seung-Hyuk Choi
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hyeon-Cheol Gwon
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Joo-Yong Hahn
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
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Papakyriakopoulou P, Valsami G, Kadoglou NPE. Nose-to-Heart Approach: Unveiling an Alternative Route of Acute Treatment. Biomedicines 2024; 12:198. [PMID: 38255302 PMCID: PMC10813812 DOI: 10.3390/biomedicines12010198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 01/11/2024] [Accepted: 01/15/2024] [Indexed: 01/24/2024] Open
Abstract
Intranasal (IN) administration has emerged as a novel approach for rapid systemic absorption, with potential applicability in the management of acute cardiovascular events. This review explores the evolution of IN cardiovascular pharmacotherapy, emphasizing its potential in achieving systemic effects and bypassing the first-pass metabolism associated with oral administration. The extensive vascularization of nasal mucosa and a porous endothelial basement membrane facilitate efficient drug absorption into the bloodstream. The IN route ensures a critical swift onset of action, which allows self-administration in at-home settings. For instance, etripamil nasal spray, a first-in-class formulation, exemplifies the therapeutic potential of this approach in the treatment of spontaneous supraventricular tachycardia. The review critically assesses studies on IN formulations for angina, acute myocardial infarction, hypertensive episodes, and cardiac arrhythmias. Preclinical evaluations of beta-blockers, calcium-channel blockers, and antianginal drugs demonstrate the feasibility of IN administration for acute cardiovascular events. A small number of clinical trials have revealed promising results, emphasizing the superiority of IN drug delivery over oral administration in terms of bioavailability and onset of action. Unambiguously, the limited clinical trials and patient enrollment pose challenges in generalizing experimental outcomes. However, the nose-to-heart approach has clinical potential.
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Affiliation(s)
- Paraskevi Papakyriakopoulou
- Laboratory of Biopharmaceutics and Pharmacokinetics, Section of Pharmaceutical Technology, Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, 15771 Athens, Greece; (P.P.); (G.V.)
| | - Georgia Valsami
- Laboratory of Biopharmaceutics and Pharmacokinetics, Section of Pharmaceutical Technology, Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, 15771 Athens, Greece; (P.P.); (G.V.)
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Lee S, Bohplian S, Bronas UG. Accelerometer Use to Measure Physical Activity in Older Adults With Coronary Artery Disease: An Integrative Review. J Cardiovasc Nurs 2023; 38:568-580. [PMID: 37816084 DOI: 10.1097/jcn.0000000000000959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND Physical activity is necessary for improved health outcomes among older adults with coronary artery disease (CAD), and device-based assessment of physical activity is preferred for accurate measurement. Many previous studies have applied accelerometry to examine physical activity in this population, but no reviews have systematically examined the application of various accelerometers to measure physical activity in older adults with CAD. OBJECTIVE This integrative review aimed to examine accelerometry application to measure physical activity in older adults with CAD and provide guidance for accelerometer selection and settings. METHODS Six databases-CINAHL, PubMed, PsycINFO, Scopus, EMBASE, and Google Scholar-were searched for information sources. Authors of selected studies applied accelerometers to measure physical activity and included adults 60 years or older with CAD. RESULTS Among 12 studies reviewed, 5 were randomized controlled trials, and most used an age cutoff of 65 years for older adults. The most frequently used accelerometer was the RT3, and the most common device placement was the waist/hip. Data collection duration was typically 3 consecutive days. However, many study authors did not report epoch length, sampling frequency, number of valid hours of data required per day, total number of valid days of data needed, or criteria for nonwear time. CONCLUSIONS On the basis of data synthesis and previous study results, triaxial research-grade accelerometers, waist/hip placement, and a 5- to 7-day monitoring period are recommended for measuring physical activity in older adults with CAD. However, the study purpose, device and participant characteristics, and physical activity outcomes of interest should be considered during device selection.
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Lang D. Beyond Diagnosis: a Novel Microbiota Dependent Biomarker and Target for Atherosclerosis. Circ Res 2022; 131:421-423. [PMID: 35981000 PMCID: PMC9395143 DOI: 10.1161/circresaha.122.321641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Di Lang
- Division of Cardiology, Department of Medicine, University of California San Francisco
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Liu X, Shen M, Yan H, Long P, Jiang H, Zhang Y, Zhou L, Yu K, Qiu G, Yang H, Li X, Min X, He M, Zhang X, Choi H, Wang C, Wu T. Alternations in the gut microbiota and metabolome with newly diagnosed unstable angina. J Genet Genomics 2021; 49:240-248. [PMID: 34883258 DOI: 10.1016/j.jgg.2021.11.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 11/14/2021] [Accepted: 11/17/2021] [Indexed: 02/08/2023]
Abstract
Gut microbiota plays an important role in coronary heart disease, but its compositional and functional changes in unstable angina (UA) remain unexplored. We performed metagenomic sequencing of 133 newly diagnosed UA patients and 133 sex- and age-matched controls, and profiled the fecal and plasma metabolomes in thirty case-control pairs. The alpha diversity of gut microbiota was increased in UA patients: the adjusted odds ratios (ORs) per standard deviation increase in Shannon and Simpson indices were 1.30 (95% confidence interval, 1.01-1.70) and 1.36 (1.05-1.81), respectively. Two common species (depleted Klebsiella pneumoniae and enriched Streptococcus parasanguinis; P ≤ 0.002) and three rare species (depleted Weissella confusa, enriched Granulicatella adiacens and Erysipelotrichaceae bacterium 6_1_45; P ≤ 0.005) were associated with UA. The UA-associated gut microbiota was depleted in the pathway of L-phenylalanine degradation (P = 0.001), primarily contributed by Klebsiella pneumoniae. Consistently, we found increased circulating phenylalanine in UA patients (OR = 2.76 [1.17-8.16]). Moreover, S. parasanguinis was negatively correlated with fecal citrulline (Spearman's rs = -0.470, P = 0.009), a metabolite depleted in UA patients (OR = 0.26 [0.08-0.63]). These findings are informative to help understand the metabolic connection between gut microbiota and UA.
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Affiliation(s)
- Xuezhen Liu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Miaoyan Shen
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Han Yan
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Pinpin Long
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Haijing Jiang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yizhi Zhang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Lue Zhou
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Kuai Yu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Gaokun Qiu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Handong Yang
- Department of Cardiovascular Diseases, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442000, China
| | - Xiulou Li
- Department of Cardiovascular Diseases, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442000, China
| | - Xinwen Min
- Department of Cardiovascular Diseases, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442000, China
| | - Meian He
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hyungwon Choi
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore
| | - Chaolong Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Tangchun Wu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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Vu HTT, Norman R, Pham NM, Nguyen HTT, Pham HM, Nguyen QN, Do LD, Tran HB, Huxley RR, Lee CMY, Hoang TM, Reid CM. Outcomes following the percutaneous coronary intervention in contemporary Vietnamese practice: Insight from a single centre prospective cohort. Heart Lung 2021; 50:634-639. [PMID: 34091109 DOI: 10.1016/j.hrtlng.2021.04.017] [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: 08/14/2020] [Revised: 03/31/2021] [Accepted: 04/01/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Evidence regarding the outcomes of percutaneous coronary intervention (PCI) in low-and-middle incomes countries remains limited. OBJECTIVES To report the outcomes post PCI at discharge, 30 days and 12 months in Vietnam and identify the key factors associated with adverse outcomes at 12 months. METHODS We used data from a single centre prospective cohort in Vietnam. Data regarding demographics, clinical presentation, procedural information, and outcomes of patients were collected and analysed. Primary outcomes were mortality and major adverse cardiac and cerebrovascular events. RESULTS In total, 926 patients were included. Poor outcomes were relatively low in those undergoing PCI. Predictors of mortality and major adverse cardiac and cerebrovascular events at 12 months post-PCI included being older than 75, being male, having acute myocardial infarction, left ventricular ejection fraction ≤ 40%, prior cerebral vascular disease and having an unsuccessful PCI. CONCLUSIONS Adverse outcomes of patients undergoing PCI in Vietnam are relatively low in comparison with those reported in other countries across the Asia Pacific region. Identification of factors associated with poor outcomes is beneficial for improving the quality of cardiac care and developing the prediction model of outcomes post-PCI in Vietnam.
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Affiliation(s)
- Hoa T T Vu
- School of Public Health, Curtin University, Perth, Australia; Thai Nguyen University of Medicine and Pharmacy, Thai Nguyen, Vietnam
| | - Richard Norman
- School of Public Health, Curtin University, Perth, Australia
| | - Ngoc M Pham
- School of Public Health, Curtin University, Perth, Australia; Thai Nguyen University of Medicine and Pharmacy, Thai Nguyen, Vietnam; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | | | - Hung M Pham
- Vietnam National Heart Institute, Hanoi, Vietnam
| | | | - Loi D Do
- Vietnam National Heart Institute, Hanoi, Vietnam
| | - Hieu B Tran
- Vietnam National Heart Institute, Hanoi, Vietnam
| | - Rachel R Huxley
- School of Public Health, Curtin University, Perth, Australia; Faculty of Health, Deakin University, Melbourne, Australia; The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Crystal M Y Lee
- School of Public Health, Curtin University, Perth, Australia; School of Psychology and Public Health, La Trobe University, Melbourne, Australia; Boden Collaboration for Obesity, Nutrition, Exercise & Eating Disorders, University of Sydney, Sydney, Australia
| | - Tu M Hoang
- Thai Nguyen National Hospital, Thai Nguyen, Vietnam
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Kaur A, Mackin ST, Schlosser K, Wong FL, Elharram M, Delles C, Stewart DJ, Dayan N, Landry T, Pilote L. Systematic review of microRNA biomarkers in acute coronary syndrome and stable coronary artery disease. Cardiovasc Res 2021; 116:1113-1124. [PMID: 31782762 DOI: 10.1093/cvr/cvz302] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 10/24/2019] [Accepted: 11/26/2019] [Indexed: 01/03/2023] Open
Abstract
The aim of this systematic review was to assess dysregulated miRNA biomarkers in coronary artery disease (CAD). Dysregulated microRNA (miRNAs) have been shown to be linked to cardiovascular pathologies including CAD and may have utility as diagnostic and prognostic biomarkers. We compared miRNAs identified in acute coronary syndrome (ACS) compared with stable CAD and control populations. We conducted a systematic search of controlled vocabulary and free text terms related to ACS, stable CAD and miRNA in Biosis Previews (OvidSP), The Cochrane Library (Wiley), Embase (OvidSP), Global Health (OvidSP), Medline (PubMed and OvidSP), Web of Science (Clarivate Analytics), and ClinicalTrials.gov which yielded 7370 articles. Of these, 140 original articles were appropriate for data extraction. The most frequently reported miRNAs in any CAD (miR-1, miR-133a, miR-208a/b, and miR-499) are expressed abundantly in the heart and play crucial roles in cardiac physiology. In studies comparing ACS cases with stable CAD patients, miR-21, miR-208a/b, miR-133a/b, miR-30 family, miR-19, and miR-20 were most frequently reported to be dysregulated in ACS. While a number of miRNAs feature consistently across studies in their expression in both ACS and stable CAD, when compared with controls, certain miRNAs were reported as biomarkers specifically in ACS (miR-499, miR-1, miR-133a/b, and miR-208a/b) and stable CAD (miR-215, miR-487a, and miR-502). Thus, miR-21, miR-133, and miR-499 appear to have the most potential as biomarkers to differentiate the diagnosis of ACS from stable CAD, especially miR-499 which showed a correlation between the level of their concentration gradient and myocardial damage. Although these miRNAs are potential diagnostic biomarkers, these findings should be interpreted with caution as the majority of studies conducted predefined candidate-driven assessments of a limited number of miRNAs (PROSPERO registration: CRD42017079744).
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Affiliation(s)
- Amanpreet Kaur
- Centre for Outcomes Research and Evaluation, Research Institute, McGill University Health Centre, 5252 de Maisonneuve West, 2B.39, Montreal QC H4A 3S5, Canada
| | - Sharon T Mackin
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Kenny Schlosser
- Ottawa Hospital Research Institute and Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Fui Lin Wong
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Malik Elharram
- Department of Medicine, McGill University Health Centre, Montreal, Canada
| | - Christian Delles
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Duncan J Stewart
- Ottawa Hospital Research Institute and Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Natalie Dayan
- Centre for Outcomes Research and Evaluation, Research Institute, McGill University Health Centre, 5252 de Maisonneuve West, 2B.39, Montreal QC H4A 3S5, Canada.,Department of Medicine, McGill University Health Centre, Montreal, Canada
| | - Tara Landry
- Medical Library, Montreal General Hospital, McGill University Health Centre, Montreal, Canada
| | - Louise Pilote
- Centre for Outcomes Research and Evaluation, Research Institute, McGill University Health Centre, 5252 de Maisonneuve West, 2B.39, Montreal QC H4A 3S5, Canada.,Department of Medicine, McGill University Health Centre, Montreal, Canada
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Xie H, Wang Y, Zhu T, Feng S, Yan Z, Zhu Z, Ni J, Ni J, Du R, Zhu J, Ding F, Liu S, Han H, Zhang H, Zhao J, Zhang R, Quan W, Yan X. Serum MG53/TRIM72 Is Associated With the Presence and Severity of Coronary Artery Disease and Acute Myocardial Infarction. Front Physiol 2020; 11:617845. [PMID: 33391037 PMCID: PMC7773634 DOI: 10.3389/fphys.2020.617845] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 11/25/2020] [Indexed: 12/31/2022] Open
Abstract
Background: Mitsugumin 53 or Tripartite motif 72 (MG53/TRIM72), a myokine/cardiokine belonging to the tripartite motif family, can protect the heart from ischemic injury and regulate lipid metabolism in rodents. However, its biological function in humans remains unclear. This study sought to investigate the relationship between circulating MG53 levels and coronary artery disease (CAD). Methods: The concentration of MG53 was measured by enzyme-linked immunosorbent assay (ELISA) in serum samples from 639 patients who underwent angiography, including 205 controls, 222 patients with stable CAD, and 212 patients with acute myocardial infarction (AMI). Logistic and linear regression analyses were used to analyze the relationship between MG53 and CAD. Results: MG53 levels were increased in patients with stable CAD and were highest in patients with AMI. Additionally, patients with comorbidities, such as chronic kidney disease (CKD) and diabetes also had a higher concentration of MG53. We found that MG53 is a significant diagnostic marker of CAD and AMI, as analyzed by logistic regression models. Multivariate linear regression models revealed that serum MG53 was significantly corelated positively with SYNTAX scores. Global Registry of Acute Coronary Events (GRACE) scores also correlated with serum MG53 levels, indicating that MG53 levels were associated with the severity of CAD and AMI after adjusting for multiple risk factors and clinical biomarkers. Conclusion: MG53 is a valuable diagnostic marker whose serum levels correlate with the presence and severity of stable CAD and AMI, and may represent a novel biomarker for diagnosing CAD and indicating the severity of CAD.
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Affiliation(s)
- Hongyang Xie
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Cardiovascular Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yaqiong Wang
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Tianqi Zhu
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuo Feng
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zijun Yan
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhengbin Zhu
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingwei Ni
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Ni
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Run Du
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinzhou Zhu
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fenghua Ding
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shengjun Liu
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Han
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hang Zhang
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiaxin Zhao
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruiyan Zhang
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiwei Quan
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoxiang Yan
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Cardiovascular Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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10
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Luke K, Purwanto B, Herawati L, Al-Farabi MJ, Oktaviono YH. Predictive Value of Hematologic Indices in the Diagnosis of Acute Coronary Syndrome. Open Access Maced J Med Sci 2019; 7:2428-2433. [PMID: 31666841 PMCID: PMC6814467 DOI: 10.3889/oamjms.2019.666] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 08/09/2019] [Accepted: 08/11/2019] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Distinguishing between Acute Coronary Syndrom (ACS) and SCAD (Stable Coronary Artery Disease) requires advanced laboratory instrument and electrocardiogram. However, their availabilities in primary care settings in developing countries are limited. Hematologic changes usually occur in the ACS patient and might be valuable to distinguish ACS from SCAD. AIM This study compares the hematologic indices between ACS and SCAD patients and analyses its predictive value for ACS. MATERIAL AND METHODS A total of 191 patients (79 ACS and 112 SCAD) were enrolled in this study based on the inclusion criteria. Patient's characteristic, hematologic indices on admission, and the final diagnosis were obtained from medical records. Statistical analyses were done using SPSS 23.0. RESULTS In this research MCHC value (33.40 vs. 32.80 g/dL; p < 0.05); WBC (11.16 vs. 7.40 x109/L; p < 0.001); NLR (6.29 vs. 2.18; p < 0.001); and PLR (173.88 vs 122.46; p < 0.001) were significantly higher in ACS compared to SCAD patients. While MPV (6.40 vs. 10.00 fL; p < 0.001) was significantly lower in ACS patients. ROC curve analysis showed MPV had the highest AUC (95%) for ACS diagnosis with an optimum cut-off point at ≤ 8.35 fL (sensitivity 93.6% and specificity 97.3%). CONCLUSION There was a significant difference between hematologic indices between ACS and SCAD patients. MPV is the best indices to distinguish ACS.
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Affiliation(s)
- Kevin Luke
- Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia
| | - Bambang Purwanto
- Department of Physiology, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia
| | - Lilik Herawati
- Department of Physiology, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia
| | - Makhyan Jibril Al-Farabi
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia
- School of Management, Healthcare Entrepreneurship Division, University College London, Gower St, Bloomsbury, WC1E 6BT, London, UK
| | - Yudi Her Oktaviono
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia
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11
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Solati Z, Ravandi A. Lipidomics of Bioactive Lipids in Acute Coronary Syndromes. Int J Mol Sci 2019; 20:ijms20051051. [PMID: 30823404 PMCID: PMC6429306 DOI: 10.3390/ijms20051051] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 02/22/2019] [Accepted: 02/24/2019] [Indexed: 02/07/2023] Open
Abstract
Acute coronary syndrome (ACS) refers to ischemic conditions that occur as a result of atherosclerotic plaque rupture and thrombus formation. It has been shown that lipid peroxidation may cause plaque instability by inducing inflammation, apoptosis, and neovascularization. There is some evidence showing that these oxidized lipids may have a prognostic value in ACS. For instance, higher levels of oxidized phospholipids on apo B-100 lipoproteins (OxPL/apoB) predicted cardiovascular events independent of traditional risk factors, C-reactive protein (hsCRP), and the Framingham Risk Score (FRS). A recent cross-sectional study showed that levels of oxylipins, namely 8,9-DiHETrE and 16-HETE, were significantly associated with cardiovascular and cerebrovascular events, respectively. They found that with every 1 nmol/L increase in the concentrations of 8,9-DiHETrE, the odds of ACS increased by 454-fold. As lipid peroxidation makes heterogonous pools of secondary products, therefore, rapid multi-analyte quantification methods are needed for their assessment. Conventional lipid assessment methods such as chemical reagents or immunoassays lack specificity and sensitivity. Lipidomics may provide another layer of a detailed molecular level to lipid assessment, which may eventually lead to exploring novel biomarkers and/or new treatment options. Here, we will briefly review the lipidomics of bioactive lipids in ACS.
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Affiliation(s)
- Zahra Solati
- Institute of Cardiovascular Sciences, St. Boniface Hospital Research Centre, University of Manitoba, Winnipeg, MB R2H 2A6, Canada.
- Department of Physiology and Pathophysiology, University of Manitoba, Winnipeg, MB R3E 3P5, Canada.
| | - Amir Ravandi
- Institute of Cardiovascular Sciences, St. Boniface Hospital Research Centre, University of Manitoba, Winnipeg, MB R2H 2A6, Canada.
- Department of Physiology and Pathophysiology, University of Manitoba, Winnipeg, MB R3E 3P5, Canada.
- Section of Cardiology, Department of Internal Medicine, Max Rady College of Medicine, Faculty of Health Sciences, University of Manitoba, 409 Tache Avenue, Winnipeg, MB R2H 2A6, Canada.
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12
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Buccheri S, Sarno G, Lagerqvist B, Olivecrona G, Hambraeus K, Witt N, Lindholm D, Erlinge D, Angerås O, James S. Bioabsorbable polymer everolimus-eluting stents in patients with acute myocardial infarction: a report from the Swedish Coronary Angiography and Angioplasty Registry. EUROINTERVENTION 2018; 14:e562-e569. [DOI: 10.4244/eij-d-18-00392] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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13
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Šatrauskienė A, Navickas R, Laucevičius A, Huber HJ. Identifying differential miR and gene consensus patterns in peripheral blood of patients with cardiovascular diseases from literature data. BMC Cardiovasc Disord 2017; 17:173. [PMID: 28666417 PMCID: PMC5493858 DOI: 10.1186/s12872-017-0609-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Accepted: 06/22/2017] [Indexed: 01/13/2023] Open
Abstract
Background Numerous recent studies suggest the potential of circulating MicroRNAs (miRs) in peripheral blood samples as diagnostic or prognostic markers for coronary artery disease (CAD), acute coronary syndrome (ACS) and heart failure (HF). However, literature often remains inconclusive regarding as to which markers are most indicative for which of the above diseases. This shortcoming is mainly due to the lack of a systematic analyses and absence of information on the functional pathophysiological role of these miRs and their target genes. Methods We here provide an-easy-to-use scoring approach to investigate the likelihood of regulation of several miRs and their target genes from literature by identifying consensus patterns of regulation. We therefore have screened over 1000 articles that study mRNA markers in cardiovascular and metabolic diseases, and devised a scoring algorithm to identify consensus means for miRs and genes regulation across several studies. We then aimed to identify differential markers between CAD, ACS and HF. Results We first identified miRs (miR-122, −126, −223, −138 and −370) as commonly regulated within a group of metabolic disease, while investigating cardiac-related pathologies (CAD, ACS, HF) revealed a decisive role of miR-1, −499, −208b, and -133a. Looking at differential markers between cardiovascular disease revealed miR-1, miR-208a and miR-133a to distinguish ACS and CAD to HF. Relating differentially expressed miRs to their putative gene targets using MirTarBase, we further identified HCN2/4 and LASP1 as potential markers of CAD and ACS, but not in HF. Likewise, BLC-2 was found oppositely regulated between CAD and HF. Interestingly, while studying overlap in target genes between CAD, ACS and HF only revealed little similarities, mapping these genes to gene ontology terms revealed a surprising similarity between CAD and ACS compared to HF. Conclusion We conclude that our analysis using gene and miR scores allows the extraction of meaningful markers and the elucidation of differential pathological functions between cardiac diseases and provides a novel approach for literature screening for miR and gene consensus patterns. The analysis is easy to use and extendable upon further emergent literature as we provide an Excel sheet for this analysis to the community. Electronic supplementary material The online version of this article (doi:10.1186/s12872-017-0609-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Agnė Šatrauskienė
- Vilnius University, Faculty of Medicine, Vilnius, Lithuania.,Vilnius University Hospital Santariškių Klinikos, Vilnius, Lithuania
| | - Rokas Navickas
- Vilnius University, Faculty of Medicine, Vilnius, Lithuania.,Vilnius University Hospital Santariškių Klinikos, Vilnius, Lithuania
| | - Aleksandras Laucevičius
- Vilnius University, Faculty of Medicine, Vilnius, Lithuania.,Vilnius University Hospital Santariškių Klinikos, Vilnius, Lithuania
| | - Heinrich J Huber
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium. .,Institute for Automation Engineering (IFAT), Laboratory for Systems Theory and Automatic Control, Otto-von-Guericke University Magdeburg, 39106, Magdeburg, Germany.
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Lee MS, Flammer AJ, Li J, Lennon RJ, Delacroix S, Kim H, Lerman A. Comparison of Time Trends of Cardiovascular Disease Risk Factors and Framingham Risk Score Between Patients With and Without Acute Coronary Syndrome Undergoing Percutaneous Intervention Over the Last 17 Years: From the Mayo Clinic Percutaneous Coronary Intervention Registry. Clin Cardiol 2015; 38:747-56. [PMID: 26671071 DOI: 10.1002/clc.22484] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Accepted: 09/23/2015] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The objective of this study was to investigate cardiovascular disease risk factor (cvRF) profiles and compare their trends over 17 years in patients with and without acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI). HYPOTHESIS Time trends of cvRF are different between ACS and non-ACS patients. METHODS This study was a time-trend analysis from 1994 to 2010 within the Mayo Clinic PCI registry. Outcome measures were incidence and prevalence of cvRF, including the Framingham Risk Score (FRS), at the time of admission for PCI. RESULTS Age of non-ACS patients was higher than that of ACS patients, and age distribution slightly shifted toward older age in both groups (P for trend <0.001). There was no difference in FRS between the 2 groups; however, 10-year cardiovascular disease risk (%) remained higher in non-ACS than in ACS patients, decreasing over time. Diastolic blood pressure and high-density lipoprotein cholesterol were higher in non-ACS patients, but total cholesterol and low-density lipoprotein cholesterol were higher in ACS patients, with an improving trend over time. Prevalence of diabetes mellitus, hypertension, and history of hypercholesterolemia were higher in non-ACS patients, increasing over time. Smoking did not change over time. Use of most medications increased over time in both groups. CONCLUSIONS Most cvRFs and their time trends exhibited statistically significant differences between ACS and non-ACS patients, except systolic blood pressure, body mass index, and history of myocardial infarction. A new risk-factor profile assessment may be needed for stratification of PCI patients according to ACS and non-ACS status. Clinical and public-health interventions should consider different approaches to ACS and non-ACS patients.
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Affiliation(s)
- Moo-Sik Lee
- Division of Cardiovascular Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota
- Department of Preventive Medicine, College of Medicine, Konyang University, Daejeon, Korea
| | - Andreas J Flammer
- Division of Cardiovascular Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota
| | - Jing Li
- Division of Cardiovascular Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota
| | - Ryan J Lennon
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Sinny Delacroix
- Division of Cardiovascular Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota
| | - Hyunsoo Kim
- Department of Preventive Medicine, College of Medicine, Konyang University, Daejeon, Korea
| | - Amir Lerman
- Division of Cardiovascular Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota
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15
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Zhang L, Zhang T, Xiang Z, Lu S. The rs3737964 single-nucleotide polymorphism of the chloride channel-6 gene as a risk factor for coronary heart disease. Mol Genet Genomic Med 2015; 3:537-42. [PMID: 26740945 PMCID: PMC4694129 DOI: 10.1002/mgg3.163] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Revised: 06/10/2015] [Accepted: 06/11/2015] [Indexed: 11/25/2022] Open
Abstract
The present study investigates the association of single‐nucleotide polymorphisms (SNPs) on the chloride channel‐6 (CLC‐6) gene with coronary heart disease (CHD) in China. We carried out a large case–control study among 1193 CHD patients and 1200 unrelated healthy control subjects. Information on the participants' health status was collected through the modified Inter‐heart questionnaire. Genomic DNA from peripheral blood samples was analyzed for the genotypes of rs3737964 and rs3737965 SNPs on the CLC‐6 gene using Taqman probe‐based quantitative real‐time PCR (qPCR). We compared the collected data between the case group and the control group by chi‐square test and t/nonparametric test. Furthermore, we performed logistic regression to evaluate factors associated with CHD. The frequency of TT genotypes in rs3737964 was significantly higher in CHD patients compared to the control group, with an odds ratio (OR) of 2.32 (95% confidence interval, CI: 1.17–4.06, P = 0.016). The association of CHD with TT genotype was even stronger in smoking population after adjusting for confounders (OR = 3.19, 95% CI: 1.04–9.79, P = 0.043). Multivariate logistic regression showed the CHD risk associated with TT genotype in rs3737964 was particularly among population who were more than 60 years old, smoking, and male (P = 0.023, 0.008 and 0.043, respectively). The present study has revealed that rs3737964 SNP of CLC‐6 was associated with CHD. In particular, subjects with TT genotype who were 60‐plus years old, with smoking habit or were male were more susceptible to CHD.
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Affiliation(s)
- Li Zhang
- Intensive Care Unit Hubei Cancer Hospital Wuhan 430079 China
| | - Tao Zhang
- Department of Ultrasound Hubei Maternal and Child Health Hospital Wuhan 430070 China
| | - Zhengkai Xiang
- Department of Chest Surgery Hubei Cancer Hospital Wuhan 430079 China
| | - Shengqiang Lu
- Intensive Care Unit Hubei Cancer Hospital Wuhan 430079 China
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16
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Sang Song P, Ryeol Ryu D, Choi SH, Yang JH, Song YB, Hahn JY, Choi JH, Seung KB, Park SJ, Gwon HC. Impact of acute coronary syndrome classification and procedural technique on clinical outcomes in patients with coronary bifurcation lesions treated with drug-eluting stents. Clin Cardiol 2012; 35:610-8. [PMID: 22707283 DOI: 10.1002/clc.22020] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2011] [Revised: 04/27/2012] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND We examined the impact of non-ST-segment elevation acute coronary syndrome (NSTE-ACS) on clinical outcomes in patients with bifurcation lesions treated with drug-eluting stents. HYPOTHESIS We hypothesized that NSTE-ACS would be attributable to the increased risk of major adverse cardiac events (MACE) in bifurcation percutaneous coronary intervention. METHODS We enrolled 1668 patients, using data from a multicenter real-world bifurcation registry. The primary objective was to compare the 2-year cumulative risk of MACE in patients with NSTE-ACS to those with stable angina. Major adverse cardiac events were defined as the composite endpoint of cardiac death, myocardial infarction (MI), and target-lesion revascularization. RESULTS Non-ST-segment elevation acute coronary syndrome was seen in 969 (58.1%) patients and stable angina in 699. Major adverse cardiac events occurred in 7.3% of NSTE-ACS patients and in 5.2% with stable angina (P = 0.042). However, cardiac death, MI, and target-lesion revascularization were similar between the 2 groups. We stratified patients with NSTE-ACS into those with non-ST-segment elevation MI and those with unstable angina. Cumulative risks of 2-year MACEs were 7.0% in non-ST-segment elevation MI patients and 7.5% in unstable angina patients (P = 0.87). In the NSTE-ACS cohort, the baseline lesion length in the side branch (adjusted hazard ratio [HR]: 1.04, 95% confidence interval [CI]: 1.01-1.07, P = 0.022), paclitaxel-eluting stents in the main vessel (adjusted HR: 2.02, 95% CI: 1.21-3.40, P = 0.008), and final kissing ballooning (adjusted HR: 1.88, 95% CI: 1.10-3.21, P = 0.021) were independent predictors of MACE. CONCLUSIONS Compared with stable angina patients, the NSTE-ACS patients who underwent bifurcation percutaneous coronary intervention had an increased risk of MACE during the 2-year follow-up.
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Affiliation(s)
- Pil Sang Song
- Division of Cardiology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul
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Steinvil A, Berliner S, Bromberg M, Cohen M, Shalev V, Shapira I, Rogowski O. Micro-inflammatory changes in asymptomatic healthy adults during bouts of respiratory tract infections in the community: Potential triggers for atherothrombotic events. Atherosclerosis 2009; 206:270-5. [DOI: 10.1016/j.atherosclerosis.2009.01.045] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2008] [Revised: 01/28/2009] [Accepted: 01/29/2009] [Indexed: 10/21/2022]
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