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Vazirian F, Sadeghi M, Kelesidis T, Budoff MJ, Zandi Z, Samadi S, Mohammadpour AH. Predictive value of lipoprotein(a) in coronary artery calcification among asymptomatic cardiovascular disease subjects: A systematic review and meta-analysis. Nutr Metab Cardiovasc Dis 2023; 33:2055-2066. [PMID: 37567791 PMCID: PMC11073574 DOI: 10.1016/j.numecd.2023.07.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 05/20/2023] [Accepted: 07/11/2023] [Indexed: 08/13/2023]
Abstract
AIMS Studies have indicated inconsistent results regarding the association between plasma levels of Lipoprotein(a) [Lp(a)] and coronary artery calcification (CAC). We performed a systematic review and meta-analysis to investigate the association between elevated levels of Lp(a) and risk of CAC in populations free of cardiovascular disease (CVD) symptoms. DATA SYNTHESIS PubMed, Web of Science, Embase, and Scopus were searched up to July 2022 and the methodological quality was assessed using Newcastle-Ottawa Scale (NOS) scale. Random-effects meta-analysis was used to estimate pooled odds ratio (OR) and 95% confidence interval. Out of 298 studies, data from 8 cross-sectional (n = 18,668) and 4 cohort (n = 15,355) studies were used in meta-analysis. Cohort studies demonstrated a positive significant association between Lp(a) and CAC, so that individuals with Lp(a)≥30-50 exposed to about 60% risk of CAC incidence compared to those with lower Lp(a) concentrations in asymptomatic CVD subjects (OR, 1.58; 95% CI, 1.38-1.80; l2, 0.0%; P, 0.483); Subgroup analysis showed that a cut-off level for Lp(a) measurement could not statistically affect the association, but race significantly affected the relationship between Lp(a) and CAC (OR,1.60; 95% CI, 1.41-1.81). Analyses also revealed that both men and women with higher Lp(a) concentrations are at the same risk for increased CAC. CONCLUSIONS Blood Lp(a) level was significantly associated with CAC incidence in asymptomatic populations with CVD, indicating that measuring Lp(a) may be a useful biomarker for diagnosing subclinical atherosclerosis in individuals at higher risk of CAC score. PROSPERO REGISTRATION NUMBER CRD42022350297.
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Affiliation(s)
- Fatemeh Vazirian
- School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Masoumeh Sadeghi
- Department of Epidemiology, Faculty of Health, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Theodoros Kelesidis
- Department of Medicine, Division of Infectious Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Matthew J Budoff
- Department of Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Zahra Zandi
- Department of Cardiovascular Disease, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sara Samadi
- Department of Clinical Pharmacy, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Amir Hooshang Mohammadpour
- Department of Clinical Pharmacy, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran; Pharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
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Jackson CL, Garg PK, Guan W, Tsai MY, Criqui MH, Tsimikas S, Bhatia HS. Lipoprotein(a) and coronary artery calcium in comparison with other lipid biomarkers: The multi-ethnic study of atherosclerosis. J Clin Lipidol 2023; 17:538-548. [PMID: 37357049 PMCID: PMC10691212 DOI: 10.1016/j.jacl.2023.06.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 06/01/2023] [Accepted: 06/13/2023] [Indexed: 06/27/2023]
Abstract
BACKGROUND Coronary artery calcium (CAC) scoring is often used for atherosclerotic cardiovascular disease (ASCVD) risk stratification in individuals with elevated lipoprotein(a) [Lp(a)]. OBJECTIVE To evaluate associations between Lp(a) and baseline CAC (volume/density) and CAC progression compared to other lipid biomarkers. METHODS We utilized data from the Multi-Ethnic Study of Atherosclerosis (MESA), a cohort study of individuals without clinical ASCVD, excluding statin users. We evaluated the associations between Lp(a), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), triglycerides, total cholesterol, apolipoprotein B, and non-HDL-C with baseline CAC and annual CAC progression using multivariable ordinal regression with adjustment for ASCVD risk factors. Analyses were also stratified by median age. RESULTS In 5,597 participants (2,726 at median 9.5-year follow-up), Lp(a) was not associated with baseline CAC volume or density and was modestly associated with volume progression (OR 1.11, 95% CI 1.03-1.21). However, other biomarkers were positively associated with baseline volume and volume progression (LDL-C: OR 1.26, 95% CI: 1.19-1.33 and OR 1.22, 95% CI: 1.15-1.30, respectively), except HDL-C which was inversely associated. LDL-C, total cholesterol and non-HDL-C were inversely associated with baseline density. In participants <62 years of age, Lp(a) was modestly associated with baseline CAC volume (OR 1.10, 95% CI: 1.00-1.20) and volume progression (OR 1.16 95% CI: 1.04-1.30). CONCLUSIONS In contrast to other lipid biomarkers, Lp(a) was not associated with baseline CAC volume or density and was only modestly associated with volume progression. Our findings suggest that Lp(a) is not as robustly associated with CAC as other lipid biomarkers.
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Affiliation(s)
- Candace L Jackson
- Division of Cardiovascular Medicine, UC San Diego Health, San Diego, CA
| | - Parveen K Garg
- Division of Cardiology, Department of Medicine, University of Southern California, Los Angeles, CA
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Michael H Criqui
- Division of Cardiovascular Medicine, UC San Diego Health, San Diego, CA; Division of Preventive Medicine, Department of Family Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Sotirios Tsimikas
- Division of Cardiovascular Medicine, UC San Diego Health, San Diego, CA
| | - Harpreet S Bhatia
- Division of Cardiovascular Medicine, UC San Diego Health, San Diego, CA.
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3
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Li J. Lipoprotein(a) and Atherosclerotic Cardiovascular Diseases: Evidence from Chinese Population. CARDIOLOGY DISCOVERY 2023; 3:40-47. [DOI: 10.1097/cd9.0000000000000059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Cardiovascular disease (CVD) is the leading cause of mortality worldwide. Multiple factors are involved in CVD, and emerging data indicate that lipoprotein(a) (Lp(a)) may be associated with atherosclerotic cardiovascular disease (ASCVD) independent of other traditional risk factors. Lp(a) has been identified as a novel therapeutic target. Previous studies on the influence of Lp(a) in CVD have mainly used in western populations. In this review, the association of plasma Lp(a) concentration with ASCVD was summarized, with regards to epidemiological, population-based observational, and pathological studies in Chinese populations. Lp(a) mutations and copy number variations in Chinese populations are also explored. Finally, the impact of plasma Lp(a) levels on patients with type 2 diabetes mellitus, cancer, and familial hypercholesterolemia are discussed.
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Affiliation(s)
- Jianjun Li
- Cardiometabolic Center, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
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4
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Liu J, Cao Y, Sheng Z. Effect of lipoprotein α on coronary stents expansion and its risk factors. ZHONG NAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF CENTRAL SOUTH UNIVERSITY. MEDICAL SCIENCES 2021; 46:249-256. [PMID: 33927071 PMCID: PMC10929932 DOI: 10.11817/j.issn.1672-7347.2021.200398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Indexed: 11/03/2022]
Abstract
OBJECTIVES To analyze the effect of hyperlipoproteinemia (α) on immediate expansion after coronary stent implantation guided by intravascular ultrasound (IVUS). METHODS A total of 160 patients (175 lesions) with coronary heart disease diagnosed by coronary artery angiography, who were performed percutaneous intervention guided by IVUS in the Department of Cardiology, Third Xiangya Hospital, Central South University, were enrolled retrospectively.According to the concentration of lipoproteina, the patients were divided into 2 groups: a hyperlipoproteinemia (α) group and a control group. Cardiac ejection fraction was measured with echocardiography. Logistic regression was used to analyze the influential factors for hyperlipoproteinemia (α). The target vessel was examined by IVUS to analyze the immediate expansion effect of hyperlipoproteinemia (α) after stent implantation. RESULTS The mean stent expansion index, lesion length, stent number, stent symmetry index and posterior balloon diameter were (94.73±18.9)%, (52.92±29.1) mm, (2.11±0.85), (83.62±13.07)%, and (9.46±2.00) mm in the hyperlipoproteinemia (α) group, respectively. Compared with the control group, there were significantly difference (all P<0.05). Multivariable regression analysis showed that the decreased creatinine clearance rate was an independent risk factor for hyperlipoproteinemia (α) (P<0.05). CONCLUSIONS Hyperlipoproteinemia (α) appears to be a predictor of stent underexpansion, and the decreased creatinine clearance rate is an independent risk factor for hyperlipoproteinemia (α).
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Affiliation(s)
- Jiajia Liu
- Department of Cardiology, Third Xiangya Hospital, Central South University, Changsha 410013, China.
| | - Yu Cao
- Department of Cardiology, Third Xiangya Hospital, Central South University, Changsha 410013, China.
| | - Zhe Sheng
- Department of Cardiology, Third Xiangya Hospital, Central South University, Changsha 410013, China
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5
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Guo C, Cao H, Shan G, Zhao W, Zhang H, Niu K, Cui Z, Tang N, Liu K, Pan L, Han X, Wang Z, Meng G, Sun J, Shan A, Yan Y, He H, Xu Z, Cao Y, Peng W, Sun Y, Xie Y, Liu X, Li B, Wen F, Zhang L. Elevated lipoprotein(a) and risk of coronary heart disease according to different lipid profiles in the general Chinese community population: the CHCN-BTH study. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:26. [PMID: 33553319 PMCID: PMC7859748 DOI: 10.21037/atm-20-3899] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Background To evaluate the contributions of elevated lipoprotein(a) [Lp(a)] to the risk of coronary heart disease (CHD) in the general Chinese community population according to different lipid profiles. Methods We recruited individuals aged over 18 years from the baseline survey of the Cohort Study on Chronic Disease of Communities Natural Population in Beijing, Tianjin and Hebei (CHCN-BTH) using a stratified, multistage cluster sampling method. Data were collected through questionnaire surveys, anthropometric measures and laboratory tests. Restricted cubic spline (RCS) functions, multivariate logistic regression, sensitivity analyses and stratified analyses were used to evaluate the association between Lp(a) and CHD. Results A total of 25,343 participants were included, with 1,364 (5.38%) identified as having CHD. Elevated Lp(a) levels were linearly related to an increased risk of CHD (Poverall-association<0.0001 and Pnonlinear-association=0.8468). Multivariate logistic regression analysis indicated that subjects with Lp(a) ≥300 mg/L had a higher risk of CHD [OR (95% CI): 1.36 (1.17, 1.57)] than did individuals with Lp(a) <300 mg/L. Compared with individuals with Lp(a) <119.0 mg/L (<50th percentile), the ORs (95% CI) for CHD in the 51st–80th, 81st–95th and >95th percentiles were 1.07 (0.93, 1.23), 1.26 (1.07, 1.50) and 1.68 (1.30, 2.17), respectively (P for trend <0.0001). This association was also found among the subgroup of subjects without dyslipidemia, including those with normal total cholesterol (TC) (<6.2 mmol/L), triglycerides (TG) (<2.3 mmol/L), high-density lipoprotein cholesterol (HDL-C) (≥1.0 mmol/L) and low-density lipoprotein cholesterol (LDL-C) (<4.1 mmol/L). Elevated Lp(a) and dyslipidemia significantly contributed to a higher risk of CHD with synergistic effects. Stratified analyses showed that elevated Lp(a) concentrations were significantly associated with an increased risk of CHD in the subgroups of individuals who were noncurrent drinkers, overweight individuals, individuals with hypertension, individuals who engaged in moderate physical activity, those without diabetes mellitus and individuals in Beijing and Tianjin. Conclusions Elevated Lp(a) concentrations were linearly associated with a higher risk of CHD in the general Chinese community population, especially in normolipidemic subjects. Both dyslipidemia and elevated Lp(a) independently or synergistically contributed to the risk of CHD. Our results suggest that more attention should be paid to the levels of Lp(a) in normolipidemic subjects, which may be an early predictor of CHD.
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Affiliation(s)
- Chunyue Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Han Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Wei Zhao
- Department of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Han Zhang
- Health Management Center, Beijing Aerospace General Hospital, Beijing, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ze Cui
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, China
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, and Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin, China
| | - Kuo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Xiaoyan Han
- Department of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Zhengfang Wang
- Health Management Center, Beijing Aerospace General Hospital, Beijing, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jixin Sun
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, China
| | - Anqi Shan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, and Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin, China
| | - Yuxiang Yan
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Huijing He
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Zhiyuan Xu
- Department of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Yajing Cao
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, China
| | - Wenjuan Peng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yanyan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yunyi Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xiaohui Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Bingxiao Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Fuyuan Wen
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
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6
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Coronary artery disease with normal lipids and low coronary artery calcium in two women with high lipoprotein(a). J Clin Lipidol 2020; 14:186-188. [DOI: 10.1016/j.jacl.2019.12.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 12/18/2019] [Accepted: 12/27/2019] [Indexed: 12/24/2022]
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7
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Sun X, Zhou S, He X, Wang Y, Cui W. Sex-Specific Association between Serum 25-Hydroxyvitamin D and Metabolic Risk Factors in T2DM Patients. Int J Endocrinol 2020; 2020:9238719. [PMID: 32565795 PMCID: PMC7292989 DOI: 10.1155/2020/9238719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 12/10/2019] [Accepted: 12/18/2019] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVE To evaluate the relationship between serum 25-hydroxyvitamin (25(OH)D) levels and metabolic risk factor levels in patients with type 2 diabetes mellitus (T2DM) on a sex-specific basis. METHODS Our study comprised 507 patients with T2DM (321 men, 186 women; median age, 59 years). The metabolic risk factors examined included lipoprotein(a), glycated albumin (GA-L), and random blood glucose (RBG); the levels of these parameters were determined enzymatically. Serum 25(OH)D levels were measured by commercial ELISA kits. Participants were divided into low and high 25(OH)D groups according to the median 25(OH)D concentration (13.2 ng/mL). Two-way analysis of covariance and multiple linear regression analysis were performed. RESULTS The median 25(OH)D concentration was 13.9 ng/mL in men and 12.2 ng/mL in women. 25(OH)D levels inversely correlated with levels of three metabolic risk factors in a sex-dependent manner after adjusting for several confounding factors. These were lipoprotein(a) in men (141.3 ± 137.9 and 195.3 ± 204.8 mg/L in high and low 25(OH)D groups, respectively; P < 0.05); GA-L in women (22.2 ± 8.8 vs. 23.3 ± 7.3% in high and low 25(OH)D groups, respectively; P < 0.05). In a subgroup analysis, serum 25(OH)D levels inversely correlated with lipoprotein(a) levels in men (β = -0.185, P = 0.002) and RBG levels in women (β = -0.176, P = 0.028). CONCLUSION Higher serum 25(OH)D levels indicate a more favorable lipid profile in men and a more favorable glucose profile in women.
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Affiliation(s)
- Xiaomin Sun
- Global Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, Xi'an, Shaanxi 710061, China
| | - Sirui Zhou
- Global Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, Xi'an, Shaanxi 710061, China
| | - Xin He
- Department of Geriatric Endocrinology, First Affiliated Hospital, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, Xi'an, Shaanxi 710061, China
- Department of Endocrinology, Xi'an Aerospace General Hospital, 159 Jitai Road, Yanta District, Xi'an, Shaanxi 710061, China
| | - Youfa Wang
- Global Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, Xi'an, Shaanxi 710061, China
| | - Wei Cui
- Department of Geriatric Endocrinology, First Affiliated Hospital, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, Xi'an, Shaanxi 710061, China
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Kutkienė S, Petrulionienė Ž, Laucevičius A, Čerkauskienė R, Kasiulevičius V, Samuilis A, Augaitienė V, Gedminaitė A, Bieliauskienė G, Šaulytė-Mikulskienė A, Staigytė J, Petrulionytė E, Gargalskaitė U, Skiauterytė E, Matuzevičienė G, Kovaitė M, Nedzelskienė I. Is the coronary artery calcium score the first-line tool for investigating patients with severe hypercholesterolemia? Lipids Health Dis 2019; 18:149. [PMID: 31279347 PMCID: PMC6612412 DOI: 10.1186/s12944-019-1090-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 06/18/2019] [Indexed: 12/18/2022] Open
Abstract
Background Coronary artery calcium (CAC) is known as a reliable tool for estimating risk of myocardial infarction, coronary death, all-cause mortality and is even used to evaluate suitable asymptomatic patients. We therefore aimed to evaluate whether CAC scoring can be applied in the algorithm for clinical examination of patients with severe hypercholesterolemia (SH). Methods During the period of 2016–2017 a total of 213 asymptomatic adults, underwent computed tomography angiography to evaluate their CAC scoring. The sample consisted of 110 patients with SH and 103 age and sex matched controls without dyslipidemia and established cardiovascular disease. Results In total there were 79 (37.2%) subjects with elevated (≥25th) CAC percentiles. Out of them 47 (59.5%) had SH and 32 (40.5%) did not. CAC score did not differ between groups (SH (+) 140.30 ± 185.72 vs SH (−) 87.84 ± 140.65, p = 0.146), however there was a comparable difference in how the participants of these groups distributed among different percentile groups (p = 0.044). Gender, blood pressure, tabaco use, physical activity, family history of coronary artery disease and diabetes mellitus were not associated with CAC score (p > 0.05). There were no significant correlations between biochemical parameters and CAC percentiles except for increase in lipoprotein(a) (p = 0.038). Achilles tendon pathology, visceral obesity, body mass index and increased waist-hip ratio were not associated with CAC percentiles either (p > 0.05). Conclusions CAC score is not associated with presence of SH. CAC score is not an appropriate diagnostic tool in the algorithm for clinical examination of patients with SH. Further larger studies are needed to support our findings.
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Affiliation(s)
- Sandra Kutkienė
- Faculty of Medicine Clinic of Cardiac and Vascular Diseases, Vilnius University, Vilnius, Lithuania.,Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Žaneta Petrulionienė
- Faculty of Medicine Clinic of Cardiac and Vascular Diseases, Vilnius University, Vilnius, Lithuania.,Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Aleksandras Laucevičius
- Faculty of Medicine Clinic of Cardiac and Vascular Diseases, Vilnius University, Vilnius, Lithuania.,Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Rimantė Čerkauskienė
- Vilnius University Hospital Santaros Klinikos, Children's hospital, Vilnius, Lithuania.,Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Vytautas Kasiulevičius
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania.,Faculty of Medicine Clinic of Internal Diseases Family Medicine and Oncology, Vilnius University, Vilnius, Vilnius, Lithuania
| | - Artūras Samuilis
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania.,Department of Radiology Nuclear Medicine and Medical Physics, Vilnius University Institute of Biomechanical Sciences, Vilnius, Lithuania
| | - Virginija Augaitienė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania.,Department of Radiology Nuclear Medicine and Medical Physics, Vilnius University Institute of Biomechanical Sciences, Vilnius, Lithuania
| | - Aurelija Gedminaitė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania.,Department of Radiology Nuclear Medicine and Medical Physics, Vilnius University Institute of Biomechanical Sciences, Vilnius, Lithuania
| | - Gintarė Bieliauskienė
- Faculty of Medicine Clinic of Cardiac and Vascular Diseases, Vilnius University, Vilnius, Lithuania.,Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Akvilė Šaulytė-Mikulskienė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania. .,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania.
| | - Justina Staigytė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | | | - Urtė Gargalskaitė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Eglė Skiauterytė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Gabija Matuzevičienė
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Milda Kovaitė
- Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Irena Nedzelskienė
- Vilnius University Hospital Santaros Klinikos, Children's hospital, Vilnius, Lithuania
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9
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Steffen BT, Thanassoulis G, Duprez D, Stein JH, Karger AB, Tattersall MC, Kaufman JD, Guan W, Tsai MY. Race-Based Differences in Lipoprotein(a)-Associated Risk of Carotid Atherosclerosis. Arterioscler Thromb Vasc Biol 2019; 39:523-529. [PMID: 30727753 PMCID: PMC6393189 DOI: 10.1161/atvbaha.118.312267] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Accepted: 01/11/2019] [Indexed: 01/01/2023]
Abstract
Objective- Lp(a) [lipoprotein(a)] is a well-described risk factor for atherosclerosis, but Lp(a)-associated risk may vary by race/ethnicity. We aimed to determine whether race/ethnicity modifies Lp(a)-related risk of carotid atherosclerotic plaque outcomes among black, white, Chinese, and Hispanic individuals. Approach and Results- Carotid plaque presence and score were assessed by ultrasonography at baseline (n=5155) and following a median 9.4 year period (n=3380) in MESA (Multi-Ethnic Study of Atherosclerosis) participants. Lp(a) concentrations were measured by immunoassay and examined as a continuous and categorical variable using clinically-based cutoffs, 30 and 50 mg/dL. Lp(a) was related to greater risk of prevalent carotid plaque at baseline in whites alone (all P<0.001): per log unit (relative risk, 1.05); Lp(a)≥30 mg/dL (relative risk, 1.16); and Lp(a)≥50 mg/dL (relative risk, 1.20). Lp(a) levels over 50 mg/dL were associated with a higher plaque score at baseline in whites (all P<0.001) and Hispanics ( P=0.04). In prospective analyses, whites with Lp(a) ≥50 mg/dL were found to have greater risk of plaque progression (relative risk, 1.12; P=0.03) and higher plaque scores (all P<0.001) over the 9.4-year follow-up. Race-based differences between whites and black participants were significant for cross-sectional associations and for carotid plaque score following the 9.4 year study period. Conclusions- Race was found to be a modifying variable in Lp(a)-related risk of carotid plaque, and Lp(a) levels may have greater influence on plaque burden in whites than in black individuals. Borderline results in Hispanics suggest that elevated Lp(a) may increase the risk of carotid plaque, but follow-up studies are needed.
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Affiliation(s)
- Brian T. Steffen
- Department of Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, MN, USA
| | | | - Daniel Duprez
- Cardiovascular Division, Department of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - James H. Stein
- Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin, Madison, WI 53792
| | - Amy B. Karger
- Department of Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Mathew C. Tattersall
- Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin, Madison, WI 53792
| | - Joel D. Kaufman
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98105
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Michael Y. Tsai
- Department of Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, MN, USA
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10
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Vongpromek R, Bos S, Ten Kate GJR, Bujo H, Jiang M, Nieman K, Schneider W, Roeters van Lennep JE, Verhoeven AJM, Sijbrands EJG, Mulder MT. Soluble LR11 associates with aortic root calcification in asymptomatic treated male patients with familial hypercholesterolemia. Atherosclerosis 2017. [PMID: 28637586 DOI: 10.1016/j.atherosclerosis.2017.06.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND AIMS Despite statin treatment, a high prevalence of severe vascular calcification is found in patients with familial hypercholesterolemia (FH). We assessed the relation between the circulating soluble form of low-density lipoprotein receptor relative with 11 ligand-binding repeats (sLR11), a risk factor for cardiovascular disease, and vascular calcification in asymptomatic statin-treated heterozygous FH patients. METHODS In 123 asymptomatic heterozygous FH patients (age 40-69 years), aortic root (ARC), aortic valve (AVC) and coronary artery calcification (CAC) were determined with CT-based calcium scoring expressed in Agatston units. Plasma sLR11 levels were measured by sandwich ELISA. RESULTS Seventy-three patients displayed ARC, 48 had AVC and 96 CAC. Plasma sLR11 levels were positively correlated with the presence of ARC (r = 0.2, p = 0.03), but not with AVC or CAC. The correlation between sLR11 levels and ARC was restricted to male FH patients (r = 0.31, p = 0.006). Multivariate logistic analyses showed that the association of plasma sLR11 with the presence of ARC was independent of other determinants (Adjusted Odds Ratio, 2.01 (95% CI = 1.28-3.16) p = 0.002). CONCLUSIONS Plasma sLR11 is associated with ARC in male FH patients and may be mechanistically involved in the differential distribution of atherosclerotic lesions in the vasculature.
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Affiliation(s)
- Ranitha Vongpromek
- Department of Internal Medicine, Laboratory of Vascular Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Sven Bos
- Department of Internal Medicine, Laboratory of Vascular Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Gert-Jan R Ten Kate
- Department of Cardiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Hideaki Bujo
- Department of Clinical-Laboratory and Experimental-Research Medicine, Toho University, Sakura Medical Center, Sakura, Japan
| | - Meizi Jiang
- Department of Clinical-Laboratory and Experimental-Research Medicine, Toho University, Sakura Medical Center, Sakura, Japan
| | - Koen Nieman
- Department of Cardiology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Radiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Wolfgang Schneider
- Department of Medical Biochemistry, Medical University of Vienna, Max. F. Perutz Laboratories, Vienna, Austria
| | - Jeanine E Roeters van Lennep
- Department of Internal Medicine, Laboratory of Vascular Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Adrie J M Verhoeven
- Department of Internal Medicine, Laboratory of Vascular Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Eric J G Sijbrands
- Department of Internal Medicine, Laboratory of Vascular Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Monique T Mulder
- Department of Internal Medicine, Laboratory of Vascular Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
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11
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Liu M, Zhao L, Yuan J. Establishment of Relational Model of Congenital Heart Disease Markers and GO Functional Analysis of the Association between Its Serum Markers and Susceptibility Genes. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2016; 2016:9506829. [PMID: 27118988 PMCID: PMC4812235 DOI: 10.1155/2016/9506829] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Revised: 09/24/2015] [Accepted: 10/01/2015] [Indexed: 12/25/2022]
Abstract
PURPOSE The purpose of present study was to construct the best screening model of congenital heart disease serum markers and to provide reference for further prevention and treatment of the disease. METHODS Documents from 2006 to 2014 were collected and meta-analysis was used for screening susceptibility genes and serum markers closely related to the diagnosis of congenital heart disease. Data of serum markers were extracted from 80 congenital heart disease patients and 80 healthy controls, respectively, and then logistic regression analysis and support vector machine were utilized to establish prediction models of serum markers and Gene Ontology (GO) functional annotation. RESULTS Results showed that NKX2.5, GATA4, and FOG2 were susceptibility genes of congenital heart disease. CRP, BNP, and cTnI were risk factors of congenital heart disease (p < 0.05); cTnI, hs-CRP, BNP, and Lp(a) were significantly close to congenital heart disease (p < 0.01). ROC curve indicated that the accuracy rate of Lp(a) and cTnI, Lp(a) and BNP, and BNP and cTnI joint prediction was 93.4%, 87.1%, and 97.2%, respectively. But the detection accuracy rate of the markers' relational model established by support vector machine was only 85%. GO analysis suggested that NKX2.5, GATA4, and FOG2 were functionally related to Lp(a) and BNP. CONCLUSIONS The combined markers model of BNP and cTnI had the highest accuracy rate, providing a theoretical basis for the diagnosis of congenital heart disease.
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Affiliation(s)
- Min Liu
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou 450052, China
- Department of Cardiovascular Medicine, Zhengzhou Central Hospital, Zhengzhou University, No. 195 Tongbai Road, Zhengzhou 450007, China
| | - Luosha Zhao
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou 450052, China
| | - Jiaying Yuan
- Department of Ultrasound Diagnosis, Directly under Hospital of Henan Military Region, No. 18 Jinshui Road, Zhengzhou 450000, China
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12
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Lipoprotein (a) is related to coronary atherosclerotic burden and a vulnerable plaque phenotype in angiographically obstructive coronary artery disease. Atherosclerosis 2016; 246:214-20. [PMID: 26803430 DOI: 10.1016/j.atherosclerosis.2016.01.020] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Revised: 01/10/2016] [Accepted: 01/11/2016] [Indexed: 11/23/2022]
Abstract
BACKGROUND Lipoprotein Lp(a) has been shown to be an independent risk factor for coronary artery disease (CAD). However, its association with CAD burden in patients with ACS is largely unknown, as well as the association of Lp(a) with lipid rich plaques prone to rupture. AIM We aim at assessing CAD burden by coronary angiography and plaque features including thin cap fibroatheroma (TCFA) by optical coherence tomography (OCT) in consecutive patients presenting with acute coronary syndrome (ACS) and obstructive CAD along with serum Lp(a) levels. METHODS This study comprises an angiographic and an OCT cohort. A total of 500 ACS patients (370 men, average age 66 ± 11) were enrolled for the angiographic cohort and 51 ACS patients (29 males, average age 65 ± 11) were enrolled for the OCT cohort. Angiographic CAD severity was assessed by Sullivan score and by Bogaty score including stenosis score and extent index. OCT plaque features were evaluated at the site of the minimal lumen area and along the culprit segment. RESULTS In the angiographic cohort, at multivariate analysis, Lp(a) was a weak independent predictor of Sullivan score (p < 0.0001), stenosis score (p < 0.0001) and extent index (p < 0.0001). In the OCT cohort, patients with higher Lp(a) levels (≥ 30 md/dl) compared to patients with lower Lp(a) levels (<30 md/dl) exhibited a higher prevalence of lipidic plaque at the site of the culprit stenosis (67% vs. 27%; P = 0.02), a wider lipid arc (135 ± 114 vs 59 ± 111; P = 0.03) and a higher prevalence of TCFA (38% vs. 10%; P = 0.04). CONCLUSIONS Among patients with ACS, raised Lp(a) levels are associated with an increased atherosclerotic burden and it identifies a subset of patients with features of high risk coronary atherosclerosis.
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Vongpromek R, Bos S, Ten Kate GJR, Yahya R, Verhoeven AJM, de Feyter PJ, Kronenberg F, Roeters van Lennep JE, Sijbrands EJG, Mulder MT. Lipoprotein(a) levels are associated with aortic valve calcification in asymptomatic patients with familial hypercholesterolaemia. J Intern Med 2015; 278:166-73. [PMID: 25487646 DOI: 10.1111/joim.12335] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVES Lipoprotein(a) [Lp(a)] is an independent risk factor for aortic valve stenosis and aortic valve calcification (AVC) in the general population. In this study, we determined the association between AVC and both plasma Lp(a) levels and apolipoprotein(a) [apo(a)] kringle IV repeat polymorphisms in asymptomatic statin-treated patients with heterozygous familial hypercholesterolaemia (FH). METHODS A total of 129 asymptomatic heterozygous FH patients (age 40-69 years) were included in this study. AVC was detected using computed tomography scanning. Lp(a) concentration and apo(a) kringle IV repeat number were measured using immunoturbidimetry and immunoblotting, respectively. Univariate and multivariate logistic regression were used to assess the association between Lp(a) concentration and the presence of AVC. RESULTS Aortic valve calcification was present in 38.2% of patients, including three with extensive AVC (>400 Agatston units). Lp(a) concentration was significantly correlated with gender, number of apo(a) kringle IV repeats and the presence and severity of AVC, but not with coronary artery calcification (CAC). AVC was significantly associated with plasma Lp(a) level, age, body mass index, blood pressure, duration of statin use, cholesterol-year score and CAC score. After adjustment for all significant covariables, plasma Lp(a) concentration remained a significant predictor of AVC, with an odds ratio per 10-mg dL(-1) increase in Lp(a) concentration of 1.11 (95% confidence interval 1.01-1.20, P = 0.03). CONCLUSION In asymptomatic statin-treated FH patients, plasma Lp(a) concentration is an independent risk indicator for AVC.
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Affiliation(s)
- R Vongpromek
- Division of Pharmacology Vascular and Metabolic Diseases, Department of Internal Medicine, Rotterdam, The Netherlands
| | - S Bos
- Division of Pharmacology Vascular and Metabolic Diseases, Department of Internal Medicine, Rotterdam, The Netherlands
| | - G-J R Ten Kate
- Department of Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - R Yahya
- Division of Pharmacology Vascular and Metabolic Diseases, Department of Internal Medicine, Rotterdam, The Netherlands
| | - A J M Verhoeven
- Division of Pharmacology Vascular and Metabolic Diseases, Department of Internal Medicine, Rotterdam, The Netherlands
| | - P J de Feyter
- Department of Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - F Kronenberg
- Division of Genetic Epidemiology, Department of Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - J E Roeters van Lennep
- Division of Pharmacology Vascular and Metabolic Diseases, Department of Internal Medicine, Rotterdam, The Netherlands
| | - E J G Sijbrands
- Division of Pharmacology Vascular and Metabolic Diseases, Department of Internal Medicine, Rotterdam, The Netherlands
| | - M T Mulder
- Division of Pharmacology Vascular and Metabolic Diseases, Department of Internal Medicine, Rotterdam, The Netherlands
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14
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Zhao Y, Malik S, Wong ND. Evidence for Coronary Artery Calcification Screening in the Early
Detection of Coronary Artery Disease and Implications of Screening in
Developing Countries. Glob Heart 2014; 9:399-407. [DOI: 10.1016/j.gheart.2014.10.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2014] [Revised: 10/21/2014] [Accepted: 10/21/2014] [Indexed: 01/09/2023] Open
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Pang J, Sullivan DR, Harada-Shiba M, Ding PYA, Selvey S, Ali S, Watts GF. Significant gaps in awareness of familial hypercholesterolemia among physicians in selected Asia-Pacific countries: a pilot study. J Clin Lipidol 2014; 9:42-8. [PMID: 25670359 DOI: 10.1016/j.jacl.2014.09.011] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2014] [Revised: 09/19/2014] [Accepted: 09/23/2014] [Indexed: 02/06/2023]
Abstract
BACKGROUND Familial hypercholesterolemia (FH) is a dominantly inherited disorder characterized by high plasma cholesterol levels and a very high risk of early heart disease. The prevalence of FH is estimated to be at least 1:500, with at least 3.6 million individuals in the Asia-Pacific region. OBJECTIVE To assess awareness, knowledge, and perception of FH among practicing physicians in Japan, South Korea, and Taiwan. METHODS Physicians from 3 economically developed Asian countries were requested to anonymously complete a structured Internet-based survey regarding FH. This survey sought responses on the clinical description, inheritance, prevalence, cardiovascular disease risk, practices, and opinions on screening. RESULTS Of 230 physicians surveyed, 47% were aware of the heritability, 27% of the prevalence, and 13% of the risk of cardiovascular disease relating to FH. The majority (70%) perceived themselves to have an above-moderate familiarity with FH. Primary care physicians (59%) and lipid specialists (41%) were perceived as the best providers for caring for FH, including cascade screening services, with a lesser role perceived for cardiologists, endocrinologists, and no significant role for nursing staff. Only 35% of physicians were aware of specialist clinical services for lipid disorders in their geographic area. CONCLUSION Extensive education and training programs are required to complement the implementation of region-specific models of care for FH in Asia. Further enhancement of existing lipid services and facilities are also warranted to optimise service models.
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Affiliation(s)
- Jing Pang
- School of Medicine and Pharmacology, University of Western Australia, Western Australia, Australia
| | - David R Sullivan
- Department of Biochemistry, Royal Prince Alfred Hospital, University of Sydney, New South Wales, Australia
| | - Mariko Harada-Shiba
- Department of Molecular Innovation in Lipidology, National Cerebral and Cardiovascular Center Research Institute, Osaka, Japan
| | - Phillip Y A Ding
- Department of Cardiovascular Medicine, Yonghe Cardinal Tien Hospital, Fu Jen Catholic University, New Taipei City, Taiwan
| | | | - Shariq Ali
- Genzyme, A Sanofi Company, Cambridge, MA, USA
| | - Gerald F Watts
- School of Medicine and Pharmacology, University of Western Australia, Western Australia, Australia; Lipid Disorders Clinic, Cardiometabolic Service, Department of Internal Medicine, Royal Perth Hospital, Western Australia, Australia.
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