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Nielsen RV, Fuster V, Bundgaard H, Fuster JJ, Johri AM, Kofoed KF, Douglas PS, Diederichsen A, Shapiro MD, Nicholls SJ, Nordestgaard BG, Lindholt JS, MacRae C, Yuan C, Newby DE, Urbina EM, Bergström G, Ridderstråle M, Budoff MJ, Bøttcher M, Raitakari OT, Hansen TH, Näslund U, Sillesen H, Eldrup N, Ibanez B. Personalized Intervention Based on Early Detection of Atherosclerosis: JACC State-of-the-Art Review. J Am Coll Cardiol 2024; 83:2112-2127. [PMID: 38777513 DOI: 10.1016/j.jacc.2024.02.053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/12/2024] [Accepted: 02/22/2024] [Indexed: 05/25/2024]
Abstract
Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality worldwide and challenges the capacity of health care systems globally. Atherosclerosis is the underlying pathophysiological entity in two-thirds of patients with CVD. When considering that atherosclerosis develops over decades, there is potentially great opportunity for prevention of associated events such as myocardial infarction and stroke. Subclinical atherosclerosis has been identified in its early stages in young individuals; however, there is no consensus on how to prevent progression to symptomatic disease. Given the growing burden of CVD, a paradigm shift is required-moving from late management of atherosclerotic CVD to earlier detection during the subclinical phase with the goal of potential cure or prevention of events. Studies must focus on how precision medicine using imaging and circulating biomarkers may identify atherosclerosis earlier and determine whether such a paradigm shift would lead to overall cost savings for global health.
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Affiliation(s)
- Rikke V Nielsen
- Department of Medical Science, Novo Nordisk Foundation, Hellerup, Denmark; Department of Cardiothoracic Anesthesiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark.
| | - Valentin Fuster
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain; Mount Sinai Fuster Heart Hospital, New York, New York, USA
| | - Henning Bundgaard
- Department of Cardiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jose J Fuster
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain; CIBER en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Amer M Johri
- Department of Medicine Queen's University, Kingston, Ontario, Canada
| | - Klaus F Kofoed
- Department of Cardiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Radiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark
| | - Pamela S Douglas
- Duke University School of Medicine, Duke Clinical Research Institute, Durham, North Carolina, USA
| | - Axel Diederichsen
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Michael D Shapiro
- Center for Prevention of Cardiovascular Disease, Section on Cardiovascular Disease, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Stephen J Nicholls
- Victorian Heart Institute, Monash University, Melbourne, Victoria, Australia
| | - Børge G Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Clinical Biochemistry and The Copenhagen General Population Study, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark. https://twitter.com/BNordestgaard
| | - Jes S Lindholt
- Department of Cardiothoracic and Vascular Surgery, Elite Research Centre of Individualised Treatment of Arterial Disease (CIMA), Odense University Hospital, University of Southern Denmark, Odense, Denmark
| | - Calum MacRae
- Harvard Medical School, Department of Medicine, Boston, Massachusetts, USA
| | - Chun Yuan
- Department of Radiology and Imaging Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, Scotland
| | - Elaine M Urbina
- Preventive Cardiology, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, Ohio, USA
| | - Göran Bergström
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg and Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | | | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor-UCLA, Torrance, California, USA
| | - Morten Bøttcher
- University Clinic for Cardiovascular Research, Department of Cardiology, Aarhus University/Gødstrup Hospital, Aarhus, Denmark
| | - Olli T Raitakari
- Centre for Population Health Research, Research Centre of Applied and Preventive Cardiovascular Medicine, InFLAMES Research Flagship, University of Turku, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Thomas H Hansen
- Department of Cardiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark
| | - Ulf Näslund
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Henrik Sillesen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nikolaj Eldrup
- Department of Vascular Surgery, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark
| | - Borja Ibanez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain; CIBER en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain; Cardiology Department, IIS-Fundación Jiménez Díaz University Hospital, Madrid, Spain.
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Samuel C, Park J, Sajja A, Michos ED, Blumenthal RS, Jones SR, Martin SS. Accuracy of 23 Equations for Estimating LDL Cholesterol in a Clinical Laboratory Database of 5,051,467 Patients. Glob Heart 2023; 18:36. [PMID: 37361322 PMCID: PMC10289049 DOI: 10.5334/gh.1214] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 05/26/2023] [Indexed: 06/28/2023] Open
Abstract
Background Alternatives to the Friedewald low-density lipoprotein cholesterol (LDL-C) equation have been proposed. Objective To compare the accuracy of available LDL-C equations with ultracentrifugation measurement. Methods We used the second harvest of the Very Large Database of Lipids (VLDbL), which is a population-representative convenience sample of adult and pediatric patients (N = 5,051,467) with clinical lipid measurements obtained via the vertical auto profile (VAP) ultracentrifugation method between October 1, 2015 and June 30, 2019. We performed a systematic literature review to identify available LDL-C equations and compared their accuracy according to guideline-based classification. We also compared the equations by their median error versus ultracentrifugation. We evaluated LDL-C equations overall and stratified by age, sex, fasting status, and triglyceride levels, as well as in patients with atherosclerotic cardiovascular disease, hypertension, diabetes, kidney disease, inflammation, and thyroid dysfunction. Results Analyzing 23 identified LDL-C equations in 5,051,467 patients (mean±SD age, 56±16 years; 53.3% women), the Martin/Hopkins equation most accurately classified LDL-C to the correct category (89.6%), followed by the Sampson (86.3%), Chen (84.4%), Puavilai (84.1%), Delong (83.3%), and Friedewald (83.2%) equations. The other 17 equations were less accurate than Friedewald, with accuracy as low as 35.1%. The median error of equations ranged from -10.8 to 18.7 mg/dL, and was best optimized using the Martin/Hopkins equation (0.3, IQR-1.6 to 2.4 mg/dL). The Martin/Hopkins equation had the highest accuracy after stratifying by age, sex, fasting status, triglyceride levels, and clinical subgroups. In addition, one in five patients who had Friedewald LDL-C <70 mg/dL, and almost half of the patients with Friedewald LDL-C <70 mg/dL and triglyceride levels 150-399 mg/dL, had LDL-C correctly reclassified to >70 mg/dL by the Martin/Hopkins equation. Conclusions Most proposed alternatives to the Friedewald equation worsen LDL-C accuracy, and their use could introduce unintended disparities in clinical care. The Martin/Hopkins equation demonstrated the highest LDL-C accuracy overall and across subgroups.
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Affiliation(s)
- Christeen Samuel
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jihwan Park
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Aparna Sajja
- Medstar Georgetown University Hospital-Washington Hospital Center, Division of Cardiology, Washington, DC, USA
| | - Erin D. Michos
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Roger S. Blumenthal
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Steven R. Jones
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Seth S. Martin
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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3
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There is urgent need to treat atherosclerotic cardiovascular disease risk earlier, more intensively, and with greater precision: A review of current practice and recommendations for improved effectiveness. Am J Prev Cardiol 2022; 12:100371. [PMID: 36124049 PMCID: PMC9482082 DOI: 10.1016/j.ajpc.2022.100371] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 07/10/2022] [Accepted: 08/05/2022] [Indexed: 12/12/2022] Open
Abstract
Atherosclerotic cardiovascular disease (ASCVD) is epidemic throughout the world and is etiologic for such acute cardiovascular events as myocardial infarction, ischemic stroke, unstable angina, and death. ASCVD also impacts risk for dementia, chronic kidney disease peripheral arterial disease and mobility, impaired sexual response, and a host of other visceral impairments that adversely impact the quality and rate of progression of aging. The relationship between low-density lipoprotein cholesterol (LDL-C) and risk for ASCVD is one of the most highly established and investigated issues in the entirety of modern medicine. Elevated LDL-C is a necessary condition for atherogenesis induction. Basic scientific investigation, prospective longitudinal cohorts, and randomized clinical trials have all validated this association. Yet despite the enormous number of clinical trials which support the need for reducing the burden of atherogenic lipoprotein in blood, the percentage of high and very high-risk patients who achieve risk stratified LDL-C target reductions is low and has remained low for the last thirty years. Atherosclerosis is a preventable disease. As clinicians, the time has come for us to take primordial and primary prevention more serously. Despite a plethora of therapeutic approaches, the large majority of patients at risk for ASCVD are poorly or inadequately treated, leaving them vulnerable to disease progression, acute cardiovascular events, and poor aging due to loss of function in multiple visceral organs. Herein we discuss the need to greatly intensify efforts to reduce risk, decrease disease burden, and provide more comprehensive and earlier risk assessment to optimally prevent ASCVD and its complications. Evidence is presented to support that treatment should aim for far lower goals in cholesterol management, should take into account many more factors than commonly employed today and should begin significantly earlier in life.
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Burtenshaw D, Regan B, Owen K, Collins D, McEneaney D, Megson IL, Redmond EM, Cahill PA. Exosomal Composition, Biogenesis and Profiling Using Point-of-Care Diagnostics—Implications for Cardiovascular Disease. Front Cell Dev Biol 2022; 10:853451. [PMID: 35721503 PMCID: PMC9198276 DOI: 10.3389/fcell.2022.853451] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 04/26/2022] [Indexed: 11/23/2022] Open
Abstract
Arteriosclerosis is an important age-dependent disease that encompasses atherosclerosis, in-stent restenosis (ISR), pulmonary hypertension, autologous bypass grafting and transplant arteriosclerosis. Endothelial dysfunction and the proliferation of vascular smooth muscle cell (vSMC)-like cells is a critical event in the pathology of arteriosclerotic disease leading to intimal-medial thickening (IMT), lipid retention and vessel remodelling. An important aspect in guiding clinical decision-making is the detection of biomarkers of subclinical arteriosclerosis and early cardiovascular risk. Crucially, relevant biomarkers need to be good indicators of injury which change in their circulating concentrations or structure, signalling functional disturbances. Extracellular vesicles (EVs) are nanosized membraneous vesicles secreted by cells that contain numerous bioactive molecules and act as a means of intercellular communication between different cell populations to maintain tissue homeostasis, gene regulation in recipient cells and the adaptive response to stress. This review will focus on the emerging field of EV research in cardiovascular disease (CVD) and discuss how key EV signatures in liquid biopsies may act as early pathological indicators of adaptive lesion formation and arteriosclerotic disease progression. EV profiling has the potential to provide important clinical information to complement current cardiovascular diagnostic platforms that indicate or predict myocardial injury. Finally, the development of fitting devices to enable rapid and/or high-throughput exosomal analysis that require adapted processing procedures will be evaluated.
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Affiliation(s)
- Denise Burtenshaw
- Vascular Biology and Therapeutics, School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Brian Regan
- School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Kathryn Owen
- Southern Health and Social Care Trust, Craigavon Area Hospital, Craigavon, United Kingdom
- Nanotechnology and Integrated Bioengineering Centre (NIBEC), Ulster University, Belfast, United Kingdom
| | - David Collins
- School of Biotechnology, Dublin City University, Dublin, Ireland
| | - David McEneaney
- Southern Health and Social Care Trust, Craigavon Area Hospital, Craigavon, United Kingdom
| | - Ian L. Megson
- Division of Biomedical Sciences, Centre for Health Science, UHI Institute of Health Research and Innovation, Inverness, United Kingdom
| | - Eileen M. Redmond
- Department of Surgery, University of Rochester, Rochester, NY, United States
| | - Paul Aidan Cahill
- Vascular Biology and Therapeutics, School of Biotechnology, Dublin City University, Dublin, Ireland
- *Correspondence: Paul Aidan Cahill,
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5
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Saydam CD. Subclinical cardiovascular disease and utility of coronary artery calcium score. IJC HEART & VASCULATURE 2021; 37:100909. [PMID: 34825047 PMCID: PMC8604741 DOI: 10.1016/j.ijcha.2021.100909] [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: 02/11/2021] [Revised: 10/14/2021] [Accepted: 10/25/2021] [Indexed: 11/21/2022]
Abstract
ASCVD are the leading causes of mortality and morbidity among Globe. Evaluation of patients' comprehensive and personalized risk provides risk management strategies and preventive interventions to achieve gain for patients. Framingham Risk Score (FRS) and Systemic Coronary Risk Evaluation Score (SCORE) are two well studied risk scoring models, however, can miss some (20-35%) of future cardiovascular events. To obtain more accurate risk assessment recalibrating risk models through utilizing novel risk markers have been studied in last 3 decades and both ESC and AHA recommends assessing Family History, hs-CRP, CACS, ABI, and CIMT. Subclinical Cardiovascular Disease (SCVD) has been conceptually developed for investigating gradually progressing asymptomatic development of atherosclerosis and among these novel risk markers it has been well established by literature that CACS having highest improvement in risk assessment. This review study mainly selectively discussing studies with CACS measurement. A CACS = 0 can down-stratify risk of patients otherwise treated or treatment eligible before test and can reduce unnecessary interventions and cost, whereas CACS ≥ 100 is equivalent to statin treatment threshold of ≥ 7.5% risk level otherwise statin ineligible before test. Since inflammation, insulin resistance, oxidative stress, dyslipidemia and ongoing endothelial damage due to hypertension could lead to CAC, ASCVD linked with comorbidities. Recent cohort studies have shown a CACS 100-300 as a sign of increased cancer risk. Physical activity, dietary factors, cigarette use, alcohol consumption, metabolic health, family history of CHD, aging, exposures of neighborhood environment and non-cardiovascular comorbidities can determine CACs changes.
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6
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Ma S, Xia M, Gao X. Biomarker Discovery in Atherosclerotic Diseases Using Quantitative Nuclear Magnetic Resonance Metabolomics. Front Cardiovasc Med 2021; 8:681444. [PMID: 34395555 PMCID: PMC8356911 DOI: 10.3389/fcvm.2021.681444] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 07/02/2021] [Indexed: 12/23/2022] Open
Abstract
Despite great progress in the management of atherosclerosis (AS), its subsequent cardiovascular disease (CVD) remains the leading cause of morbidity and mortality. This is probably due to insufficient risk detection using routine lipid testing; thus, there is a need for more effective approaches relying on new biomarkers. Quantitative nuclear magnetic resonance (qNMR) metabolomics is able to phenotype holistic metabolic changes, with a unique advantage in regard to quantifying lipid-protein complexes. The rapidly increasing literature has indicated that qNMR-based lipoprotein particle number, particle size, lipid components, and some molecular metabolites can provide deeper insight into atherogenic diseases and could serve as novel promising determinants. Therefore, this article aims to offer an updated review of the qNMR biomarkers of AS and CVD found in epidemiological studies, with a special emphasis on lipoprotein-related parameters. As more researches are performed, we can envision more qNMR metabolite biomarkers being successfully translated into daily clinical practice to enhance the prevention, detection and intervention of atherosclerotic diseases.
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Affiliation(s)
- Shuai Ma
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.,Fudan Institute for Metabolic Diseases, Shanghai, China.,Human Phenome Institute, Fudan University, Shanghai, China
| | - Mingfeng Xia
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.,Fudan Institute for Metabolic Diseases, Shanghai, China
| | - Xin Gao
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.,Fudan Institute for Metabolic Diseases, Shanghai, China
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Physicochemical Properties of Lipoproteins Assessed by Nuclear Magnetic Resonance as a Predictor of Premature Cardiovascular Disease. PRESARV-SEA Study. J Clin Med 2021; 10:jcm10071379. [PMID: 33805580 PMCID: PMC8037702 DOI: 10.3390/jcm10071379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/16/2021] [Accepted: 03/26/2021] [Indexed: 11/17/2022] Open
Abstract
Some lipoprotein disorders related to the residual risk of premature cardiovascular disease (PCVD) are not detected by the conventional lipid profile. In this case-control study, the predictive power of PCVD of serum sdLDL-C, measured using a lipoprotein precipitation method, and of the physicochemical properties of serum lipoproteins, analyzed by nuclear magnetic resonance (NMR) techniques, were evaluated. We studied a group of patients with a first PCVD event (n = 125) and a group of control subjects (n = 190). Conventional lipid profile, the size and number of Very Low Density Lipoproteins (VLDL), Low Density Lipoproteins (LDL), High Density Lipoproteins (HDL) particles, and the number of particles of their subclasses (large, medium, and small) were measured. Compared to controls, PCVD patients had lower concentrations of all LDL particles, and smaller and larger diameter of LDL and HDL particles, respectively. PCVD patients also showed higher concentrations of small dense LDL-cholesterol (sdLDL), and triglycerides (Tg) in LDL and HDL particles (HDL-Tg), and higher concentrations of large VLDL particles. Multivariate logistic regression showed that sdLDL-C, HDL-Tg, and large concentrations of LDL particles were the most powerful predictors of PCVD. A strong relationship was observed between increased HDL-Tg concentrations and PCVD. This study demonstrates that beyond the conventional lipid profile, PCVD patients have other atherogenic lipoprotein alterations that are detected by magnetic resonance imaging (MRI) analysis.
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Yuan J, Cai J, Zhao P, Zhao N, Hong RH, Ding J, Yang J, Fan QL, Zhu J, Zhou XJ, Li ZZ, Zhu DS, Guan YT. Association Between Low-Density Lipoprotein Cholesterol and Platelet Distribution Width in Acute Ischemic Stroke. Front Neurol 2021; 12:631227. [PMID: 33746886 PMCID: PMC7973264 DOI: 10.3389/fneur.2021.631227] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Accepted: 02/01/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: Elevated low-density lipoprotein cholesterol (LDL-C) is an established risk factor for ischemic stroke; however, whether LDL-C affects the platelet deformation function in the peripheral blood circulation in patients with acute ischemic stroke (AIS) is unknown. The present study aimed to investigate the relationship between LDL-C and platelet distribution width (PDW) in AIS patients. Methods: We conducted a cross-sectional hospitalized-based study of consecutive 438 patients with AIS within 24 h. Blood samples were collected upon admission and prior to drug administration, and LDL-C and PDW (a parameter that reflects the heterogeneity of platelet volume) were assessed. The relationship between LDL-C and PDW were analyzed by linear curve fitting analyses. Crude and adjusted beta coefficients of LDL-C for PDW with 95% confidence intervals were analyzed using multivariate-adjusted linear regression models. Results: The PDW was significantly higher in the high LDL-C group compared with those in the normal LDL-C group (16.28 ± 0.37 fl vs. 16.08 ± 0.37 fl, p < 0.001). Adjusted smoothed plots suggested that there are linear relationships between LDL-C and PDW, and the Pearson's correlation coefficient (95%) was 0.387 (0.304-0.464, p < 0.001). The beta coefficients (95% CI) between LDL-C and PDW were 0.15 (0.12-0.18, p < 0.001) and 0.14 (0.11-0.18, p < 0.001), respectively, in AIS patients before and after adjusting for potential confounders. Conclusion: Our study suggested that the elevated LDL-C level was related to increased PDW among AIS patients.
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Affiliation(s)
- Jian Yuan
- Department of Neurology, Baoshan Branch, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Jian Cai
- Department of Neurology, Baoshan Branch, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.,Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Pei Zhao
- Department of Neurology, Baoshan Branch, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Nan Zhao
- Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Rong-Hua Hong
- Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Jie Ding
- Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Jin Yang
- Department of Neurology, Baoshan Branch, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Qing-Lei Fan
- Department of Neurology, Baoshan Branch, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Jian Zhu
- Department of Neurology, Baoshan Branch, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Xia-Jun Zhou
- Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Ze-Zhi Li
- Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - De-Sheng Zhu
- Department of Neurology, Baoshan Branch, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.,Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Yang-Tai Guan
- Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
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Li H, Zhao Q, Chang L, Wei C, Bei H, Yin Y, Chen M, Wang H, Liang J, Wu Y. LncRNA MALAT1 modulates ox-LDL induced EndMT through the Wnt/β-catenin signaling pathway. Lipids Health Dis 2019; 18:62. [PMID: 30871555 PMCID: PMC6417088 DOI: 10.1186/s12944-019-1006-7] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 03/06/2019] [Indexed: 02/05/2023] Open
Abstract
Background Endothelial-to-mesenchymal transition (EndMT) plays significant roles in atherosclerosis, but the regulatory mechanisms involving lncRNAs remain to be elucidated. Here we sort to identify the role of metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) in ox-LDL-induced EndMT. Methods The atherosclerosis model was established by feeding ApoE−/− mice with high-fat diet, and the levels of lncRNA MALAT1 in mouse arterial tissue were detected by RT-qPCR. Cell model was established by treating human umbilical vein endothelial cells (HUVECs) with ox-LDL, and the levels of EndMT markers, such as CD31, vWF, α-SMA and Vimentin and lncRNA MALAT1 levels were detected and their correlations were analyzed. The role of MALAT1 in EndMT and its dependence on Wnt/β-catenin signaling pathway was further detected by knocking down or overexpressing MALAT1. Results MALAT1 was upregulated in high-fat food fed ApoE−/− mice. HUVECs treated with ox-LDL showed a significant decrease in expression of CD31 and vWF, a significant increase in expression of α-SMA and vimentin, and upregulated MALAT1. An increased MALAT1 level facilitated the nuclear translocation of β-catenin induced by ox-LDL. Inhibition of MALAT1 expression reversed nuclear translocation of β-catenin and EndMT. Moreover, overexpression of MALAT1 enhanced the effects of ox-LDL on HUVEC EndMT and Wnt/β-catenin signaling activation. Conclusions Our study revealed that the pathological EndMT required the activation of the MALAT1-dependent Wnt/β-catenin signaling pathway, which may be important for the onset of atherosclerosis. Trial registration Not applicable.
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Affiliation(s)
- Hongrong Li
- Hebei Medical University, No. 361, Zhongshan East Road, Changan District, Shijiazhuang, 050017, China
| | - Qifei Zhao
- Hebei Medical University, No. 361, Zhongshan East Road, Changan District, Shijiazhuang, 050017, China
| | - Liping Chang
- National Key Laboratory of Luobing Research and Innovative Chinese Medicine, Shijiazhuang, 050035, China
| | - Cong Wei
- Hebei Medical University, No. 361, Zhongshan East Road, Changan District, Shijiazhuang, 050017, China.,Hebei Key Laboratory of Luobing, Shijiazhuang, 050035, China
| | - Hongying Bei
- Yiling Hospital of Hebei Medical University, The Key Laboratory of State Administration of Traditional Chinese Medicine, Shijiazhuang, 050091, China
| | - Yujie Yin
- Yiling Hospital of Hebei Medical University, The Key Laboratory of State Administration of Traditional Chinese Medicine, Shijiazhuang, 050091, China.,Hebei University of Chinese Medicine, Shijiazhuang, 050090, China
| | - Meng Chen
- National Key Laboratory of Luobing Research and Innovative Chinese Medicine, Shijiazhuang, 050035, China
| | - Hongtao Wang
- National Key Laboratory of Luobing Research and Innovative Chinese Medicine, Shijiazhuang, 050035, China
| | - Junqing Liang
- National Key Laboratory of Luobing Research and Innovative Chinese Medicine, Shijiazhuang, 050035, China
| | - Yiling Wu
- Hebei Medical University, No. 361, Zhongshan East Road, Changan District, Shijiazhuang, 050017, China. .,Yiling Hospital of Hebei Medical University, The Key Laboratory of State Administration of Traditional Chinese Medicine, Shijiazhuang, 050091, China.
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