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Clerc A, Togni M, Cook S. Call for a consensual definition of dyslipidemia in coronary angiography trials. Front Cardiovasc Med 2025; 12:1506149. [PMID: 39974594 PMCID: PMC11836034 DOI: 10.3389/fcvm.2025.1506149] [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: 11/01/2024] [Accepted: 01/21/2025] [Indexed: 02/21/2025] Open
Abstract
Dyslipidemia is extensively analyzed in clinical trials investigating its role as a risk factor for coronary artery disease (CAD). However, its definition varies vastly among studies, leading to different attributions to the variable dyslipidemia. The objectives of this study are to verify the hypothesis of a lack of a consensual definition of dyslipidemia in coronary angiography studies and to propose a consensual definition of dyslipidemia, considering the influence of each serum lipid parameter on mortality. A systematic search of coronary angiography studies focusing on dyslipidemia was conducted. We listed definitions and their references in the 258 articles the research found. Out of the 258 articles retrieved in the search, 52 studies (20%) provided a definition of dyslipidemia, and 20 (8%) mentioned the source. We identified 39 different definitions. To mitigate misinterpretations of cardiovascular risk factors, we propose the use of the "lipid triad" components to define dyslipidemia: LDL-cholesterol >3.0 mmol/L for primary prevention and >2.6 mmol/L or >1.4 mmol/L for secondary prevention in patients over/under 75 years old, respectively; or HDL-cholesterol <1.3 mmol/L (women) and <1.0 mmol/L (men); or triglycerides >1.7 mmol/L.
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2
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Wang Y, Liu S, Cao W, Lv J, Yu C, Huang T, Sun D, Liao C, Pang Y, Pang Z, Yu M, Wang H, Wu X, Liu Y, Gao W, Li L. The metabolic signature of blood lipids: a causal inference study using twins. J Lipid Res 2024; 65:100625. [PMID: 39303494 PMCID: PMC11437770 DOI: 10.1016/j.jlr.2024.100625] [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: 10/26/2023] [Revised: 08/02/2024] [Accepted: 08/16/2024] [Indexed: 09/22/2024] Open
Abstract
Dyslipidemia is one of the cardiometabolic risk factors that influences mortality globally. Unraveling the causality between blood lipids and metabolites and the complex networks connecting lipids, metabolites, and other cardiometabolic traits can help to more accurately reflect the body's metabolic disorders and even cardiometabolic diseases. We conducted targeted metabolomics of 248 metabolites in 437 twins from the Chinese National Twin Registry. Inference about Causation through Examination of FAmiliaL CONfounding (ICE FALCON) analysis was used for causal inference between metabolites and lipid parameters. Bidirectional mediation analysis was performed to explore the linkages between blood lipids, metabolites, and other seven cardiometabolic traits. We identified 44, 1, and 31 metabolites associated with triglyceride (TG), total cholesterol (TC), and high-density lipoprotein-cholesterol (HDL-C), most of which were gut microbiota-derived metabolites. There were 9, 1, and 14 metabolites that showed novel associations with TG, TC, and HDL-C, respectively. ICE FALCON analysis found that TG and HDL-C may have a predicted causal effect on 23 and six metabolites, respectively, and one metabolite may have a predicted causal effect on TG. Mediation analysis discovered 14 linkages connecting blood lipids, metabolites, and other cardiometabolic traits. Our study highlights the significance of gut microbiota-derived metabolites in lipid metabolism. Most of the identified cross-sectional associations may be due to the lipids having a predicted causal effect on metabolites, but not vice versa, nor are they due to family confounding. These findings shed new light on lipid metabolism and personalized management of cardiometabolic diseases.
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Affiliation(s)
- Yutong Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Shunkai Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Weihua Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Chunxiao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Zengchang Pang
- Qingdao Center for Disease Control and Prevention, Qingdao, China
| | - Min Yu
- Zhejiang Center for Disease Control and Prevention, Hangzhou, China
| | - Hua Wang
- Jiangsu Center for Disease Control and Prevention, Nanjing, China
| | - Xianping Wu
- Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Yu Liu
- Heilongjiang Center for Disease Control and Prevention, Harbin, China
| | - Wenjing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China.
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3
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Mansoori A, Ghiasi Hafezi S, Ansari A, Arab Yousefabadi S, Kolahi Ahari R, Darroudi S, Eshaghnezhad M, Ferns G, Ghayour-Mobarhan M, Esmaily H, Effati S. Serum Zinc and Copper Concentrations and Dyslipidemia as Risk Factors of Cardiovascular Disease in Adults: Data Mining Techniques. Biol Trace Elem Res 2024:10.1007/s12011-024-04288-0. [PMID: 38956010 DOI: 10.1007/s12011-024-04288-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 06/19/2024] [Indexed: 07/04/2024]
Abstract
This study aimed to examine the relationship between serum cholesterol levels and the ratio of zinc (Zn) and copper (Cu) in the blood serum and the incidence of cardiovascular disease (CVD). In Phase I of the study, 9704 individuals between the age of 35 and 65 years were recruited. Phase II of the cohort study comprised 7561 participants who completed the 10-year follow-up. The variables which were measured at the baseline of the study included gender, age, systolic blood pressure (SBP), diastolic blood pressure (DBP); biochemical parameters including serum Cu, Zn, copper-zinc ratio (Cu/Zn), zinc-copper ratio (Zn/Cu); fasted lipid profile consisting of triglycerides (TG), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL) as well as fasting serum glucose, and triglycerides-glucose (TyG) index. Decision tree (DT) and logical regression (LR) models were applied to examine the relationship between the aforementioned factors and CVD. CVD was diagnosed in 837 individuals (378 males and 459 females) out of 7561 participants. According to the LR models, SBP, TC, HDL, age, Zn/Cu, and TyG index for males and SBP, age, TyG index, HDL, TC, Cu/Zn, and Cu for females had the highest correlation with CVD (p-value ≤ 0.033). Based on the DT algorithm, 88% of males with SPB < 129.66 mmHg, younger age (age < 53 years), TyG index < 9.53, 173 ≤ TC < 187 mg/dL, and HDL ≥ 32 mg/dL had the lowest risk of CVD. Also, 98% of females with SBP < 128 mmHg, TyG index < 9.68, age < 44, TC < 222 mg/dL, and HDL ≥ 63.7 mg/dL had the lowest risk of CVD. It can be concluded that the Zn/Cu for men and Cu/Zn for women, along with dyslipidemia and SBP, could significantly predict the risk of CVD in this cohort from northeastern Iran.
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Affiliation(s)
- Amin Mansoori
- Department of Applied Mathematics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Somayeh Ghiasi Hafezi
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Arina Ansari
- Student Research Committee, School of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran
| | - Sahar Arab Yousefabadi
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Rana Kolahi Ahari
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Susan Darroudi
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Vascular and endovascular surgery research center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohammad Eshaghnezhad
- Department of Applied Mathematics, Faculty of Basic Sciences, Shahid Sattari University of Aeronautical Science and Technology, Tehran, Iran
| | - Gordon Ferns
- Division of Medical Education, Brighton and Sussex Medical School, Brighton, UK
| | - Majid Ghayour-Mobarhan
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Habibollah Esmaily
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
- Social Determinants of Health Research Center, Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Sohrab Effati
- Department of Applied Mathematics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.
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Kale D, Fatangare A, Phapale P, Sickmann A. Blood-Derived Lipid and Metabolite Biomarkers in Cardiovascular Research from Clinical Studies: A Recent Update. Cells 2023; 12:2796. [PMID: 38132115 PMCID: PMC10741540 DOI: 10.3390/cells12242796] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/24/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023] Open
Abstract
The primary prevention, early detection, and treatment of cardiovascular disease (CVD) have been long-standing scientific research goals worldwide. In the past decades, traditional blood lipid profiles have been routinely used in clinical practice to estimate the risk of CVDs such as atherosclerotic cardiovascular disease (ASCVD) and as treatment targets for the primary prevention of adverse cardiac events. These blood lipid panel tests often fail to fully predict all CVD risks and thus need to be improved. A comprehensive analysis of molecular species of lipids and metabolites (defined as lipidomics and metabolomics, respectively) can provide molecular insights into the pathophysiology of the disease and could serve as diagnostic and prognostic indicators of disease. Mass spectrometry (MS) and nuclear magnetic resonance (NMR)-based lipidomics and metabolomics analysis have been increasingly used to study the metabolic changes that occur during CVD pathogenesis. In this review, we provide an overview of various MS-based platforms and approaches that are commonly used in lipidomics and metabolomics workflows. This review summarizes the lipids and metabolites in human plasma/serum that have recently (from 2018 to December 2022) been identified as promising CVD biomarkers. In addition, this review describes the potential pathophysiological mechanisms associated with candidate CVD biomarkers. Future studies focused on these potential biomarkers and pathways will provide mechanistic clues of CVD pathogenesis and thus help with the risk assessment, diagnosis, and treatment of CVD.
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Affiliation(s)
- Dipali Kale
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., 44139 Dortmund, Germany; (A.F.); (P.P.)
| | | | | | - Albert Sickmann
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., 44139 Dortmund, Germany; (A.F.); (P.P.)
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Lin IH, Van Duong T, Nien SW, Tseng IH, Wu YM, Chiang YJ, Wang HH, Chiang CY, Wang MH, Chiu CH, Lin YT, Wong TC. High diet quality indices associated with lower risk of lipid profile abnormalities in Taiwanese kidney transplant recipients. Sci Rep 2023; 13:19662. [PMID: 37952063 PMCID: PMC10640642 DOI: 10.1038/s41598-023-46736-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 11/04/2023] [Indexed: 11/14/2023] Open
Abstract
Cardiovascular disease (CVD) and its risk factors seem to be linked with deteriorated graft function and persists as the major cause of mortality in kidney transplant recipients (KTRs). Diet quality is associated with CVD prevention in the healthy population, however, less study focuses on KTRs. The study aimed to determine the association between diet quality indices and lipid profile abnormalities as risk factors for CVD in KTRs. This prospective study enrolled 106 KTRs who had functioning allografts from September 2016. Lipid profiles included low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and triglyceride (TG) and were based on the National Cholesterol Education Program Adult Treatment Panel III recommendations. Three-day dietary data were collected by a well-trained registered dietitian. The Alternative Healthy Eating Index-Taiwan (AHEI-Taiwan), Alternative Healthy Eating Index-2010 (AHEI-2010), and Healthy Eating Index-2015 (HEI-2015) scores were calculated and divided into quartiles and compared accordingly. KTRs' mean LDL-C, HDL-C, TC, and TG levels were 119.8 ± 36.6 mg/dL, 52.0 ± 17.9 mg/dL, 205.8 ± 43.9 mg/dL, and 160.2 ± 121.6 mg/dL, respectively. Compared with the lowest quartile, only the highest quartile of AHEI-Taiwan had lower TC and LDL-C levels. After adjustment for age, gender, energy, Charlson comorbidity index, transplant duration, and dialysis duration, logistic regression analysis revealed that the highest quartile of AHEI-Taiwan had 82% (odds ratio [OR], 0.18; 95% confidence interval [CI] 0.04-0.72, p < 0.05) lower odds of high TC and 88% (OR 0.12; 95% CI 0.03-0.58, p < 0.05) lower odds of high LDL-C, and the highest quartile of HEI-2015 had 77% (OR 0.23; 95% CI 0.05-0.95, p < 0.05) lower odds of high LDL-C. Higher adherence to a healthy diet as per AHEI-Taiwan and HEI-2015 guidelines associated with lower risk of lipid profile abnormalities in KTRs.
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Affiliation(s)
- I-Hsin Lin
- Department of Medical Nutrition Therapy, Linkou Chang Gung Memorial Hospital, Taoyüan, Taiwan, ROC
| | - Tuyen Van Duong
- School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan, ROC
| | - Shih-Wei Nien
- Department of Medical Nutrition Therapy, Linkou Chang Gung Memorial Hospital, Taoyüan, Taiwan, ROC
| | - I-Hsin Tseng
- Department of Medical Nutrition Therapy, Linkou Chang Gung Memorial Hospital, Taoyüan, Taiwan, ROC
| | - Yi-Ming Wu
- Department of Medical Nutrition Therapy, Linkou Chang Gung Memorial Hospital, Taoyüan, Taiwan, ROC
| | - Yang-Jen Chiang
- Department of Urology, Linkou Chang Gung Memorial Hospital, Taoyüan, Taiwan, ROC
- Department of Medicine, Chang Gung University, Taoyüan, Taiwan, ROC
| | - Hsu-Han Wang
- Department of Urology, Linkou Chang Gung Memorial Hospital, Taoyüan, Taiwan, ROC
- Department of Medicine, Chang Gung University, Taoyüan, Taiwan, ROC
| | - Chia-Yu Chiang
- Department of Business Administration, College of Management, National Changhua University of Education, Changhua, Taiwan, ROC
| | - Ming-Hsu Wang
- Center for General Education, Taipei Medical University, Taipei, Taiwan, ROC
| | - Chia-Hui Chiu
- Center for General Education, Taipei Medical University, Taipei, Taiwan, ROC
| | - Ying-Tsen Lin
- Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei, Taiwan, ROC
| | - Te-Chih Wong
- Department of Nutrition and Health Sciences, Chinese Culture University, Taipei, Taiwan, ROC.
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6
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Seifi N, Amin Mohammadi M, Dabagh AE, Sedaghat A, Rezvani R, Khadem-Rezaiyan M, Nematy M, Safarian M. The effect of early enteral nutrition supplemented with synbiotics on lipid and glucose homeostasis in critically ill patients: A randomized controlled trial. Diabetes Metab Syndr 2022; 16:102352. [PMID: 34972039 DOI: 10.1016/j.dsx.2021.102352] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 11/20/2021] [Accepted: 11/23/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND AIMS The aim of the present study was to investigate the effects of gut microbiota modulation through synbiotic supplementation on lipid and glucose homeostasis in tube-fed critically-ill adult patients. METHODS This study is placebo-controlled, parallel, single-center, double-blind clinical trial. 42 patients were randomly distributed in placebo and synbiotic groups to receive intervention for a maximum of 14 days. Serum levels of fasting glucose, total cholesterol, and triglycerides, insulin, and free fatty acids were obtained from blood sampling at baseline and the end of the study. Also, insulin resistance was determined by homeostasis model assessment of insulin resistance (HOMA-IR). RESULT Fasting glucose level (Day0 = 87.84 ± 15.51, Day14 = 83.76 ± 8.71 mg/dl, P = 0.51), fasting insulin level (Day0 = 9.46 ± 7.31, Day14 = 7.97 ± 5.19 mIU/L, P = 1.00), and HOMA index (Day0 = 1.89 ± 1.48, Day14 = 1.72 ± 1.17, P = 0.75) during the study were decreasing in both groups, but the decreases were not significant. Serum levels of total cholesterol, triglyceride, and free fatty acidsat the beginning of the study were 114.18 ± 43.43 mg/dl, 146.59 ± 53.99 mg/dl, 0.83 ± 0.57 mmol/L, and at the end of the study were 129.10 ± 39.05 mg/dl, 127.40 ± 91.88 mg/dl, 0.88 ± 0.77 mmol/L, respectively. None of these changes were significant either (P = 0.99, P = 0.38, P = 0.90, respectively). CONCLUSIONS According to our findings, synbiotics supplementation in critically ill patients has no significant effect on lipid and glucose profile.
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Affiliation(s)
- Najmeh Seifi
- Department of Nutrition, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Nutrition, Varastegan Institute for Medical Sciences, Mashhad, Iran.
| | | | - Ali Ebrahimi Dabagh
- Department of Nutrition, Varastegan Institute for Medical Sciences, Mashhad, Iran.
| | - Alireza Sedaghat
- Department of Anesthesiology, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Reza Rezvani
- Department of Nutrition, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Majid Khadem-Rezaiyan
- Department of Community Medicine, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Mohsen Nematy
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Mohammad Safarian
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
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7
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Jhun MA, Mendelson M, Wilson R, Gondalia R, Joehanes R, Salfati E, Zhao X, Braun KVE, Do AN, Hedman ÅK, Zhang T, Carnero-Montoro E, Shen J, Bartz TM, Brody JA, Montasser ME, O'Connell JR, Yao C, Xia R, Boerwinkle E, Grove M, Guan W, Liliane P, Singmann P, Müller-Nurasyid M, Meitinger T, Gieger C, Peters A, Zhao W, Ware EB, Smith JA, Dhana K, van Meurs J, Uitterlinden A, Ikram MA, Ghanbari M, Zhi D, Gustafsson S, Lind L, Li S, Sun D, Spector TD, Chen YDI, Damcott C, Shuldiner AR, Absher DM, Horvath S, Tsao PS, Kardia S, Psaty BM, Sotoodehnia N, Bell JT, Ingelsson E, Chen W, Dehghan A, Arnett DK, Waldenberger M, Hou L, Whitsel EA, Baccarelli A, Levy D, Fornage M, Irvin MR, Assimes TL. A multi-ethnic epigenome-wide association study of leukocyte DNA methylation and blood lipids. Nat Commun 2021; 12:3987. [PMID: 34183656 PMCID: PMC8238961 DOI: 10.1038/s41467-021-23899-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 05/25/2021] [Indexed: 02/06/2023] Open
Abstract
Here we examine the association between DNA methylation in circulating leukocytes and blood lipids in a multi-ethnic sample of 16,265 subjects. We identify 148, 35, and 4 novel associations among Europeans, African Americans, and Hispanics, respectively, and an additional 186 novel associations through a trans-ethnic meta-analysis. We observe a high concordance in the direction of effects across racial/ethnic groups, a high correlation of effect sizes between high-density lipoprotein and triglycerides, a modest overlap of associations with epigenome-wide association studies of other cardio-metabolic traits, and a largely non-overlap with lipid loci identified to date through genome-wide association studies. Thirty CpGs reached significance in at least 2 racial/ethnic groups including 7 that showed association with the expression of an annotated gene. CpGs annotated to CPT1A showed evidence of being influenced by triglycerides levels. DNA methylation levels of circulating leukocytes show robust and consistent association with blood lipid levels across multiple racial/ethnic groups.
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Affiliation(s)
- Min-A Jhun
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
| | - Michael Mendelson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Cardiology, Boston Children's Hospital, Boston, MA, USA
| | - Rory Wilson
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Rahul Gondalia
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Roby Joehanes
- Hebrew SeniorLife, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Elias Salfati
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiaoping Zhao
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | - Anh Nguyet Do
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Åsa K Hedman
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Tao Zhang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Elena Carnero-Montoro
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
- GENYO, Center for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, Granada, Spain
| | - Jincheng Shen
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Medicine and Biostatistics, University of Washington, Seattle, WA, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - May E Montasser
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jeff R O'Connell
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Chen Yao
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rui Xia
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Eric Boerwinkle
- School of Public Health, University of Texas Health Science Center at Houston, Huston, TX, USA
| | - Megan Grove
- School of Public Health, University of Texas Health Science Center at Houston, Huston, TX, USA
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Pfeiffer Liliane
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Paula Singmann
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- IBE, Faculty of Medicine, LMU Munich, Munich, Germany
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Thomas Meitinger
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Human Genetics, Technical University Munich, Munich, Germany
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Wei Zhao
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Erin B Ware
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, Ann Arbor, MI, USA
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, Ann Arbor, MI, USA
| | - Klodian Dhana
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Joyce van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Andre Uitterlinden
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Mohammad Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Deugi Zhi
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Stefan Gustafsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Shengxu Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Dianjianyi Sun
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
| | - Yii-der Ida Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute, and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Coleen Damcott
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alan R Shuldiner
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Devin M Absher
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
| | - Philip S Tsao
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA
| | - Sharon Kardia
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, University of Washington, Seattle, WA, USA
| | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
| | - Erik Ingelsson
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - Wei Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Biostatistics and Epidemiology, MRC Centre for Environment and Health, School of Public Health, Imperial College, London, UK
| | - Donna K Arnett
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Eric A Whitsel
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Myriam Fornage
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Themistocles L Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- VA Palo Alto Healthcare System, Palo Alto, CA, USA.
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA.
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Association between lipoprotein cholesterol and future cardiovascular disease and mortality in older adults: a Korean nationwide longitudinal study. Lipids Health Dis 2021; 20:3. [PMID: 33407561 PMCID: PMC7789148 DOI: 10.1186/s12944-020-01426-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 12/07/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Dyslipidemia is considered an independent health risk factor of cardiovascular disease (CVD), a leading cause of mortality in older adults. Despite its importance, there have been few reports on the association between lipoprotein cholesterol and future CVD and cardiovascular (CV) mortality among elderly Asians aged ≥ 65 years. This study investigated the association between lipoprotein cholesterol and future CVD and CV mortality in an elderly Korean population using a large nationwide sample. METHODS From the cohort database of the Korean National Health Insurance Service, 62,604 adults aged ≥ 65 years (32,584 men and 30,020 women) were included. High-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) levels were categorized by quartiles. Cox proportional hazard models and linear regression analyses were used to assess the association between the quartiles of lipoprotein cholesterol and future CV events or mortality. RESULTS The mean follow-up period was 3.3 years. The incidence rates of ischemic heart disease and ischemic brain disease were 0.97 and 0.61 per 1,000 person-years, respectively, and the mortality rates from these diseases were 0.22 and 0.34 per 1,000 person-years, respectively. In a completely adjusted model, high HDL-C and LDL-C levels were not associated with total CV events and CVD mortality. However, high LDL-C levels were significantly associated with a lower incidence of ischemic brain disease. Furthermore, diabetic patients with high LDL-C levels were more likely to have higher CV mortality, whereas non-smokers with high LDL-C levels were less likely to be at risk of CV events. CONCLUSIONS Neither high LDL-C nor HDL-C levels were significantly associated with future CV mortality in older adults aged ≥ 65 years. High LDL-C levels do not seem to be a risk factor for CVD in elderly individuals, and further studies are required.
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Ambulay JP, Rojas PA, Timoteo OS, Barreto TV, Colarossi A. Effect of the emulsion of Sacha Inchi (Plukenetia huayabambana) oil on oxidative stress and inflammation in rats induced to obesity. J Funct Foods 2020. [DOI: 10.1016/j.jff.2019.103631] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
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10
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Kim S. Sensory changes and lipoprotein ratios in patients with brain cancers during cancer-related therapy: A prospective cross-sectional study. Jpn J Nurs Sci 2019; 17:e12315. [PMID: 31876080 DOI: 10.1111/jjns.12315] [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: 05/28/2019] [Revised: 11/26/2019] [Accepted: 12/03/2019] [Indexed: 11/28/2022]
Abstract
AIM To identify the sensory changes and lipoprotein ratios and their relationship in brain cancer patients during cancer-related therapy (CRT). METHODS This was a prospective cross-sectional study with three observation times: before CRT, at 2-3 weeks, and 4-6 weeks after beginning CRT. The changes in patients' symptoms were evaluated using the Memorial Symptom Assessment Scale, and lipoprotein ratios were measured using total cholesterol/ high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol/HDL-c, and triglyceride/HDL-c at the three time points. RESULTS Sensory changes such as itching, swelling of the arms and legs, numbness in the hands or feet, tingling in the hands or feet, and changes in the way food tastes and lipoprotein ratios were altered in patients with brain cancer during CRT. The lipoprotein ratios showed a significant positive correlation with sensory changes at each observation time (p < .05). CONCLUSION Sensory changes and lipoprotein ratios varied, and their significant relationship was identified during CRT. Lipoprotein ratios should be considered as an indicator for symptom management in patients with malignant brain cancer during CRT.
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Affiliation(s)
- Sanghee Kim
- College of Nursing, Keimyung University, Daegu, South Korea
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11
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Bani-Ahmad MA, Khabour OF, Gharibeh MY, Alshlool KN. The impact of multiple blood donations on the risk of cardiovascular diseases: Insight of lipid profile. Transfus Clin Biol 2017; 24:410-416. [PMID: 28797569 DOI: 10.1016/j.tracli.2017.07.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 07/04/2017] [Indexed: 12/29/2022]
Abstract
OBJECTIVES The reduction in blood viscosity and iron store were proposed to be connected to the reduction in the risk of cardiovascular disease (CVD) among multiple blood donors. Herein, we evaluated the modulation of serum lipids levels in accordance with donation events. Furthermore, atherogenic impacts on the risk of CVD were investigated. MATERIALS AND METHODS A total of 100 voluntarily male donors were included in the study. Fifty donors were multiple time donors (MTD) and 50 were single time donors (STD). Levels of serum lipids were determined and atherogenic indices including TG/HDL and CHO/HDL ratios were calculated. QRISK2 parameters were determined to evaluate the 10-years risk of developing CVD. RESULTS Among MTD, there were significantly higher serum levels of triglycerides (TG) and very low-density lipoproteins (VLDL) combined with significantly lower HDL level. These modulations were significantly correlated to the extent of donation. Both CHO/HDL and TG/HDL ratios were also significantly higher among MTD. However, only TG/HDL ratio was strongly correlated to the donation extent even when controlled for age, BMI and smoking status. Despite the significant difference in QRISK2 parameters between study groups, none of these parameters was correlated to the extent of donation when controlling for age, BMI and smoking status. CONCLUSION We demonstrate that multiple blood donation is associated with an unfavorable modulation of serum levels of lipids that is influenced by donation extent. This modulation is not associated with an increased risk of CVD but may weakly contribute in a higher risk for coronary heart disease (CHD).
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Affiliation(s)
- M A Bani-Ahmad
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, P.O. Box 3030, 22110 Irbid, Jordan.
| | - O F Khabour
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, P.O. Box 3030, 22110 Irbid, Jordan
| | - M Y Gharibeh
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, P.O. Box 3030, 22110 Irbid, Jordan
| | - K N Alshlool
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, P.O. Box 3030, 22110 Irbid, Jordan
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Moussa YY, Tawfik SH, Haiba MM, Saad MI, Hanafi MY, Abdelkhalek TM, Oriquat GA, Kamel MA. Disturbed nitric oxide and homocysteine production are involved in the increased risk of cardiovascular diseases in the F1 offspring of maternal obesity and malnutrition. J Endocrinol Invest 2017; 40:611-620. [PMID: 28028785 DOI: 10.1007/s40618-016-0600-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2016] [Accepted: 12/11/2016] [Indexed: 12/23/2022]
Abstract
PURPOSE The present study aimed to evaluate the changes in levels of different independent risk factors for vascular diseases in the rat offspring of maternal obesity and malnutrition as maternal health disturbances are thought to have direct consequences on the offspring health. The effect of postnatal diet on the offspring was also assessed. METHODS Three groups of female Wistar rats were used (control, obese and malnourished). After the pregnancy and delivery, the offspring were weaned to control diet or high-caloric (HCD) diet and followed up for 30 weeks. Every 5 weeks postnatal, 20 pups (10 males and 10 females) of each subgroup were sacrificed after overnight fasting, the blood sample was obtained, and the rats were dissected out to obtain heart muscle. The following parameters were assessed; lipid profile, NEFA, homocysteine (Hcy), nitric oxide end product (NOx) and myocardial triglyceride content. RESULTS Maternal obesity and malnutrition caused significant elevation in the body weight, triglycerides, NEFA, Hcy and NOx in the F1 offspring especially those maintained under HCD. Also, the male offspring showed more prominent changes than female offspring. CONCLUSIONS Maternal malnutrition and obesity may increase the risk of the development of cardiovascular diseases in the offspring, especially the male ones.
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Affiliation(s)
- Y Y Moussa
- Department of Biochemistry, Faculty of Science, Alexandria University, Alexandria, Egypt
| | - S H Tawfik
- Molecular Medicine Department, Padova University, Padua, Italy
- Department of Biochemistry, Medical Research Institute, Alexandria University, Alexandria, Egypt
| | - M M Haiba
- Department of Biochemistry, Medical Research Institute, Alexandria University, Alexandria, Egypt
| | - M I Saad
- Department of Biochemistry, Medical Research Institute, Alexandria University, Alexandria, Egypt.
- The Ritchie Centre, Hudson Institute of Medical Research, Monash University, Melbourne, VIC, Australia.
| | - M Y Hanafi
- Department of Biochemistry, Medical Research Institute, Alexandria University, Alexandria, Egypt
| | - T M Abdelkhalek
- Department of Human Genetics, Medical Research Institute, Alexandria University, Alexandria, Egypt
| | - G A Oriquat
- Faculty of Pharmacy and Medical Sciences, Al-Ahliyya Amman University, Amman, Jordan
| | - M A Kamel
- Department of Biochemistry, Medical Research Institute, Alexandria University, Alexandria, Egypt
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Theodorou AA, Panayiotou G, Volaklis KA, Douda HT, Paschalis V, Nikolaidis MG, Smilios I, Toubekis A, Kyprianou D, Papadopoulos I, Tokmakidis SP. Aerobic, resistance and combined training and detraining on body composition, muscle strength, lipid profile and inflammation in coronary artery disease patients. Res Sports Med 2016; 24:171-84. [DOI: 10.1080/15438627.2016.1191488] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
| | - George Panayiotou
- Department of Health Sciences, European University Cyprus, Nicosia, Cyprus
| | | | - Helen T. Douda
- School of Physical Education and Sport Science, University of Thrace, Komotini, Greece
| | - Vassilis Paschalis
- Department of Health Sciences, European University Cyprus, Nicosia, Cyprus
- School of Physical Education and Sport Science, University of Thessaly, Trikala, Greece
| | - Michalis G. Nikolaidis
- School of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, Serres, Greece
| | - Ilias Smilios
- School of Physical Education and Sport Science, University of Thrace, Komotini, Greece
| | - Argyris Toubekis
- School of Physical Education and Sport Science, University of Thrace, Komotini, Greece
| | - Dimitris Kyprianou
- Department of Health Sciences, European University Cyprus, Nicosia, Cyprus
| | | | - Savvas P. Tokmakidis
- School of Physical Education and Sport Science, University of Thrace, Komotini, Greece
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Ambegaonkar BM, Bash LD, Chirovsky DR, Jameson K, Grant S, Nocea G, Pettersson B, Sazonov V. Attainment of normal lipid levels among high cardiovascular risk patients: pooled analysis of observational studies from the United Kingdom, Sweden, Spain and Canada. Eur J Intern Med 2013; 24:656-63. [PMID: 23953848 DOI: 10.1016/j.ejim.2013.07.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2013] [Revised: 05/22/2013] [Accepted: 07/05/2013] [Indexed: 12/27/2022]
Abstract
BACKGROUND Although low-density lipoprotein cholesterol (LDL-C) is the primary lipid target for cardiovascular disease (CVD) risk reduction, high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) have also emerged as risk factors. This study evaluated attainment of goal/normal lipid levels in current clinical practice among high-risk patients following lipid-modifying therapy (LMT). METHODS Data for patients aged ≥35years and on LMT for ≥12months were identified from electronic medical records (United Kingdom and Sweden) and extracted from medical charts (Canada and Spain). High CVD risk was defined according to the Adult Treatment Panel III guidelines. An index period was defined, from January 1995-July 2008, during which patients received an initial LMT prescription. Prevalence of lipid abnormalities was assessed 12months before and after the index date. Multivariate logistic regressions evaluated predictors of attaining goal/normal lipid levels. RESULTS Among 12,768 high-risk patients, 75% had elevated LDL-C, 37% low HDL-C, and 30% elevated TG before LMT. Despite therapy (97% statins only), 23% had elevated LDL-C, 36% low HDL-C, 16% elevated TG, and 17% had ≥2 abnormal lipid levels. Framingham risk score >20% (Odds Ratio, 95% confidence interval: 0.37,0.31-0.43), diabetes (0.75,0.64-0.88), hypertension (1.26,1.09-1.46), current smoker (0.82,0.70-0.95) and increased body mass index (0.95,0.94-0.96) were associated with the likelihood of attaining ≥2 normal lipid levels (vs. LDL-C goal only). CONCLUSION Current approaches to lipid management improve LDL-C goal attainment; however, control of multiple lipid risk factors remains poor. Patients may benefit from more comprehensive approaches to lipid management, which treat multiple lipid abnormalities, as suggested in clinical guidelines.
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Sanaie S, Ebrahimi-Mameghani M, Mahmoodpoor A, Shadvar K, Golzari SE. Effect of a Probiotic Preparation (VSL#3) on CardiovascularRisk Parameters in Critically-Ill Patients. J Cardiovasc Thorac Res 2013; 5:67-70. [PMID: 24251014 DOI: 10.5681/jcvtr.2013.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2013] [Accepted: 06/05/2013] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Cardiovascular disease (CVD) counts for a major portion of morbidity and mortality globally mostly accompanied by lipid abnormalities. Being at increased risk of cardiac injury, critically ill patients suffer from various lipid disorders. Lipid homeostasis has been efficiently restored by the introduction of probiotics. The aim of this trial was to determine the effect of probiotics on inflammation, antioxidant capacity and lipid peroxidation in critically ill patients. METHODS Forty patients admitted to the intensive care unit were randomized to receive placebo or probiotic for 7 days. Serum levels of triglyceride (TG), total cholesterol, HDL-C, LDL-C and high- sensitivity C-reactive protein (hs-CRP) were measured before initiation of the study and on the 7(th) day. RESULTS There was a significant difference between two groups regarding the levels of TG, HDL and hs-CRP at the end of the study (P= 0.043, <0.001 and 0.003, respectively); however, there was not a significant difference in total cholesterol and LDL-C levels. CONCLUSION Administration of probiotics in critically ill patients reduced the levels of TG and hs-CRP and increased HDL-C levels. However, no significant change was detected in levels of total cholesterol or LDL-C.
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Affiliation(s)
- Sarvin Sanaie
- Student Research Center, Faculty of Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran
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Hsu TY, Chirovsky D, Moy FM, Ambegaonkar BM. Attainment of Goal and Normalized Lipid Levels With Lipid-Modifying Therapy in Malaysia. Clin Ther 2013; 35:450-60. [DOI: 10.1016/j.clinthera.2013.02.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2012] [Revised: 01/23/2013] [Accepted: 02/06/2013] [Indexed: 12/15/2022]
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Ambegaonkar B, Chirovsky D, Tse HF, Lau YK, Tomlinson B, Li SK, Yue CS, Wong TH, Choi MC, Tunggal P, Sazonov V. Attainment of normal lipid levels among patients on lipid-modifying therapy in Hong Kong. Adv Ther 2012; 29:427-41. [PMID: 22562782 DOI: 10.1007/s12325-012-0017-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2012] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Although low-density lipoprotein cholesterol (LDL-C) is the primary lipid target for coronary heart disease (CHD) risk reduction, high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) have also emerged as CHD risk factors. The objective of this study was to evaluate attainment of lipid goals and normal levels following lipid-modifying therapy (LMT) and its predictors in a representative sample of Chinese patients from Hong Kong. METHODS Using longitudinal data collected from patient medical records, the study identified 706 patients who initiated LMT from January 2004 to December 2006 and had full lipid panels 12 months before and after therapy. LDL-C goals and normal levels of HDL-C and TG were defined according to the National Cholesterol Education Program Adult Treatment Panel 3 guidelines. Patients with previous CHD, diabetes, and 10-year CHD risk > 20% were classified as high risk. Multiple logistic regressions evaluated predictors of normal lipid-level attainment. RESULTS Among 706 patients (mean age 64.6 years, 58.6% male), 71.7% had elevated LDL-C, 32.4% had low HDL-C, and 24.9% had elevated TG before LMT. Despite therapy (91.2% statins only), 22.7% had elevated LDL-C, 31.9% had low HDL-C, 12.3% had elevated TG, and 13.9% had multiple abnormal lipid levels. The strongest predictors of attaining ≥ 2 normal lipid levels included male gender (odds ratio [OR]: 2.11 [1.12 to 4.01]), diabetes (OR: 0.43 [0.23 to 0.78]), obesity (OR: 0.91 [0.86 to 0.97]), and CHD risk > 20% (OR: 0.33 [0.15 to 0.71]). CONCLUSIONS Current approaches to lipid management in Hong Kong, primarily using statins, considerably improve attainment of LDL-C goal. However, a large proportion of patients do not achieve normal HDL-C levels and control of multiple lipid parameters remains poor. Patients could benefit from a more comprehensive approach to lipid management that treats all three lipid risk factors, as suggested in clinical guidelines.
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Affiliation(s)
- Baishali Ambegaonkar
- Global Outcomes Research, Merck & Co., Inc., One Merck Drive, P.O. Box 100, WS 2E-65, Whitehouse Station, NJ 08889, USA.
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Laforest L, Ambegaonkar BM, Souchet T, Sazonov V, Van Ganse E. Mixed dyslipidemias in primary care patients in France. Vasc Health Risk Manag 2012; 8:247-54. [PMID: 22566746 PMCID: PMC3346270 DOI: 10.2147/vhrm.s27668] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE To determine the prevalence of single and mixed dyslipidemias among patients treated with statins in clinical practice in France. METHODS This is a prospective, observational, cross-sectional, pharmacoepidemiologic study with a total of 2544 consecutive patients treated with a statin for at least 6 months. MAIN OUTCOME MEASURES Prevalence of isolated and mixed dyslipidemias of low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), and triglycerides among all patients and among patients at high cardiovascular risk; clinical variables associated with attainment of lipid targets/normal levels in French national guidelines. RESULTS At least one dyslipidemia was present in 50.8% of all patients and in 71.1% of high-risk patients. Dyslipidemias of LDL-C, HDL-C, and triglycerides were present in 27.7%, 12.4%, and 28.7% of all patients, respectively, and in 51.0%, 18.2%, and 32.5% of high-risk patients, respectively. Among all subjects with any dyslipidemia, 30.9% had mixed dyslipidemias and 69.4% had low HDL-C and/or elevated triglycerides, while 30.6% had isolated elevated LDL-C; corresponding values for high-risk patients were 36.8%, 58.9%, and 41.1%. Age, gender, body mass index and Framingham Risk Score >20% were the factors significantly associated with attainment of normal levels for ≥2 lipid levels. CONCLUSIONS At least one dyslipidemia persisted in half of all patients and two-thirds of high cardiovascular risk patients treated with a statin. Dyslipidemias of HDL-C and/or triglycerides were as prevalent as elevated LDL-C among high cardiovascular risk patients.
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Laitinen DL, Manthena S. Impact of change in high-density lipoprotein cholesterol from baseline on risk for major cardiovascular events. Adv Ther 2010; 27:233-44. [PMID: 20437214 DOI: 10.1007/s12325-010-0019-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2010] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Low concentration of high-density lipoprotein cholesterol (HDL-C) has increasingly been recognized as a strong and independent predictor of cardiovascular risk. The aim of this study was to determine the association between change in HDL-C concentration from baseline and risk of a major cardiovascular event in a commercially insured population cohort with suboptimal HDL-C and low-density lipoprotein cholesterol (LDL-C) concentrations at baseline. METHODS A retrospective longitudinal survival analysis was conducted using claims data from a large, commercial US health plan. To be included, patients had to be > or =50 years of age on the index date (laboratory test date between January 1, 2000 and December 31, 2003 on which both their LDL-C and HDL-C were not at goal), be continuously enrolled for a minimum of 6 months prior to and 12 months after the index date, and had to have at least one other laboratory panel result within 1 year prior to the cardiovascular event or study disenrollment. Cox proportional hazards analysis was conducted to assess the association between change in HDL-C concentrations and risk of a major cardiovascular event (defined as a > or =1-day hospitalization for a cardiovascular disease [CVD] diagnosis or an invasive cardiovascular procedure) within 5 years of the index date, after adjusting for covariates. RESULTS A 0.026 mmol/L (1 mg/dL) increase in HDL-C from baseline was associated with a statistically significant 1.9% decreased risk of a major cardiovascular event (P<0.0001; hazard ratio: 0.981; 95% CI: 0.974, 0.989), after adjustment for covariates. CONCLUSION Our finding of an inverse association between change in HDL-C concentrations and risk of a major cardiovascular event confirms previously reported results. Increasing HDL-C concentrations may serve as an effective measure for preventing future cardiovascular events.
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Affiliation(s)
- David L Laitinen
- Global Health Economics & Outcomes Research, Abbott Laboratories, 200 Abbott Park Road, Abbott Park, IL 60064-6145, USA.
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Girard-Mauduit S. The lipid triad, or how to reduce residual cardiovascular risk? ANNALES D'ENDOCRINOLOGIE 2010; 71:89-94. [DOI: 10.1016/j.ando.2010.02.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2009] [Revised: 02/01/2010] [Accepted: 02/05/2010] [Indexed: 02/09/2023]
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Prospective studies on the relationship between high-density lipoprotein cholesterol and cardiovascular risk: a systematic review. ACTA ACUST UNITED AC 2009; 16:404-23. [DOI: 10.1097/hjr.0b013e32832c8891] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Epidemiological studies have extensively evaluated the association between high-density lipoprotein cholesterol (HDL-C) and cardiovascular disease (CVD) risk. The objective of this systematic review was to enumerate the number of original prospective studies that showed a significant association between HDL-C and CVD risk and provided evidence of the consistency of this association across other lipid risk factors. A systematic MEDLINE literature search identified 53 prospective cohort and five nested case-control studies that provided multivariate assessments of the association between HDL-C and CVD risk. Among these 58 prospective studies, 31 studies found a significant inverse association between HDL-C and CVD risk for all CVD outcomes and subpopulations studied, whereas 17 studies found a significant association for some CVD outcomes and/or subpopulations assessed. The ratio of studies that found a significant association out of the total studies identified was similar across all CVD outcomes, although there was less evidence for stroke and atherosclerotic outcomes. Only seven studies tested for the consistency of this association across other lipid risk factors, of which six studies suggested that the association was consistent across other lipid levels. In conclusion, the association between HDL-C and CVD risk is significant and strong, although further evidence may be needed to establish whether this association is consistent across other lipid risk factors. Furthermore, uncertainties remain regarding the mechanism in which HDL-C exerts its effects, suggesting a need for further research focused on new methods for reliable measurement.
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Abstract
The relationship between dyslipidaemia and cardiovascular disease is well documented. However, it is relevant to consider that cholesterol levels vary with age. Moreover, there is some controversy regarding the ability of lipid levels to predict vascular risk beyond the age of 70 years. In general, raised low-density lipoprotein cholesterol (LDL-C) and triglyceride levels as well as reduced levels of high-density lipoprotein cholesterol (HDL-C) predict risk in the elderly. There is evidence supporting the use of statins in the elderly. It is also likely that these drugs are under-used in this population.
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