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Su X, Cai X, Pan Y, Sun J, Jing J, Wang M, Meng X, Wang Y, Wei T, He Y. Discordance of apolipoprotein B with low-density lipoprotein cholesterol or non-high-density lipoprotein cholesterol and coronary atherosclerosis. Eur J Prev Cardiol 2022; 29:2349-2358. [PMID: 36166398 DOI: 10.1093/eurjpc/zwac223] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 09/21/2022] [Accepted: 09/23/2022] [Indexed: 01/11/2023]
Abstract
AIMS High level of apolipoprotein B (Apo B) is associated with incident subclinical atherosclerosis. The present study evaluated the associations between discordant Apo B with low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), and coronary atherosclerotic burden. METHODS AND RESULTS This study enrolled 3043 participants aged 50-75 years from the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study that was conducted in the community in Lishui City, China. Discordant Apo B with LDL-C and non-HDL-C were defined by residuals and medians. Coronary atherosclerotic burden was evaluated by segment involvement score (SIS) and segment stenosis score (SSS) which were determined by computed tomography angiography. We performed discordance analyses examining associations of discordant Apo B with LDL-C or non-HDL-C with the coronary atherosclerotic burden. The mean age of participants was 61.2 ± 6.7 years, 53.6% were females. Participants with discordant high Apo B relative to non-HDL-C were at higher odds of plaques [odds ratio (OR), 1.30; 95% confidence interval (CI), 1.08-1.57], SIS [common odds ratio (cOR), 1.35; 95% CI, 1.14-1.60], and SSS (cOR, 1.40; 95% CI, 1.18-1.67) compared with concordant group. However, discordantly low Apo B with non-HDL-C was associated with decreased odds of the coronary atherosclerotic plaques and its burden. Similar results were shown for discordant analyses for Apo B with LDL-C. CONCLUSION Discordantly high Apo B with LDL-C and non-HDL-C were associated with an increased odds of the coronary atherosclerotic plaques and its burden. These findings highlighted the importance of Apo B for primary prevention of coronary atherosclerosis.
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Affiliation(s)
- Xin Su
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jingping Sun
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yan He
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
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Bordeianu G, Mitu I, Stanescu RS, Ciobanu CP, Petrescu-Danila E, Marculescu AD, Dimitriu DC. Circulating Biomarkers for Laboratory Diagnostics of Atherosclerosis-Literature Review. Diagnostics (Basel) 2022; 12:diagnostics12123141. [PMID: 36553147 PMCID: PMC9777004 DOI: 10.3390/diagnostics12123141] [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: 10/30/2022] [Revised: 12/05/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022] Open
Abstract
Atherosclerosis is still considered a disease burden with long-term damaging processes towards the cardiovascular system. Evaluation of atherosclerotic stages requires the use of independent markers such as those already considered traditional, that remain the main therapeutic target for patients with atherosclerosis, together with emerging biomarkers. The challenge is finding models of predictive markers that are particularly tailored to detect and evaluate the evolution of incipient vascular lesions. Important advances have been made in this field, resulting in a more comprehensible and stronger linkage between the lipidic profile and the continuous inflammatory process. In this paper, we analysed the most recent data from the literature studying the molecular mechanisms of biomarkers and their involvement in the cascade of events that occur in the pathophysiology of atherosclerosis.
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Affiliation(s)
| | - Ivona Mitu
- Correspondence: (I.M.); (R.S.S.); Tel.: +40-75206-1747 (I.M.)
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53
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Remnant-Like Particle Cholesterol and the Risk of Major Adverse Cardiovascular Events: A Systematic Review and Meta-Analysis. J Cardiovasc Dev Dis 2022; 9:jcdd9120452. [PMID: 36547449 PMCID: PMC9781984 DOI: 10.3390/jcdd9120452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 12/08/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022] Open
Abstract
Background: The remnant-like particle cholesterol (RLP-C) has been demonstrated to be associated with residual cardiovascular risk. The meta-analysis aimed to evaluate the impact of baseline RLP-C on the incidence of major cardiovascular adverse events (MACEs) in patients with coronary artery disease (CAD). Methods: A systematic literature search was performed in PubMed and Embase electronic databases from the inception of the databases through 1 October 2022. Studies evaluating the association between baseline RLP-C and the risk of MACEs in patients with CAD were included. Hazard ratios (HRs) with 95% confidence intervals (CIs) were pooled by a random-effect method (RLP-C analyzed as a categorical variable) and a fixed-effects model (RLP-C analyzed as a continuous variable). Results: Ten studies including 18,053 subjects were finally included in this meta-analysis. In our pooled analysis, compared to CAD patients with the lowest RLP-C category, the CAD patients with the highest RLP-C category had a significantly higher risk of future MACEs during follow-up (HR 1.79, 95% CI, 1.42−2.26, I2 = 60.31%, p < 0.01), which was consistent with outcomes of meta-analysis with the RLP-C analyzed as a continuous variable (HR 1.40, 95% CI, 1.28−1.53, I2 = 38.20%, p < 0.01). The sensitivity analysis confirmed the robustness of the results, and no significant publication bias was identified. Conclusion: The present meta-analysis suggests that the RLP-C was associated with an increased risk of long-term MACEs in patients with CAD at baseline. It is necessary to conduct randomized controlled trials to explore whether reducing the RLP-C level is conducive to reducing residual cardiovascular risk, even coronary plaque regression.
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54
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Farzam K. Lipid disorders in children: diagnosis and treatment. Future Cardiol 2022; 18:915-920. [PMID: 36321773 DOI: 10.2217/fca-2022-0062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Cardiovascular disease is a leading cause of death in western countries and pediatric lipid disorders create a lifelong continuous risk that starts from childhood. Increased knowledge and awareness on these disorders could prove to be life saving for many patients.
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Affiliation(s)
- Khashayar Farzam
- Curex Medical Centre, 380 King St N Unit 5, Waterloo, Ontario, N2J 2Z3, Canada
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55
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Effects of diets rich in ghee or olive oil on cardiometabolic risk factors in healthy adults: a two-period, crossover, randomised trial. Br J Nutr 2022; 128:1720-1729. [PMID: 34794522 DOI: 10.1017/s0007114521004645] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
This study aimed to evaluate the cardiovascular health-related effects of consuming ghee in the usual diet. Thirty healthy men and women were studied in a free-living outpatient regimen. The participants were instructed for the isoenergetic inclusion of ghee or olive oil in their diets for 4 weeks using a randomised crossover design. At the end of run-in (baseline), 2-week wash-out and interventions, fasting blood samples were drawn. In addition, 2-h postprandial blood samples were collected after ingestion of a meal containing olive oil or ghee at week 4 of each dietary intervention. Body weight was not different between the two interventions. Compared with the olive oil, the diet with ghee increased fasting plasma apo-B (apo B) (0·09, 95 % CI 0·02, 0·17 g/l, P = 0·018), non-HDL-cholesterol (non-HDL-cholesterol) (0·53, 95 % CI 0·01, 1·05 mmol/l, P = 0·046) and LDL-cholesterol did not differ significantly between diet groups (0·29, 95 % CI -0·05, 0·63 mmol/l, P = 0·092), but had no significant effect on total cholesterol:HDL-cholesterol ratio (0·75, 95 % CI - 0·24 to 1·74 mmol/l, P = 0·118). No significant difference was observed in fasting as well as 2-h postprandial plasma TAG, glucose, insulin and plasminogen activator inhibitor-1 concentrations. This study showed that ghee that is predominantly saturated fats had an increasing effect on plasma apo B and non-HDL-cholesterol compared with olive oil, adding further evidence to the existing recommendations to replace dietary fats high in SFA with dietary fats high in unsaturated fats to reduce CVD risk.
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Schwarz A, Demuth I, Landmesser U, Haghikia A, König M, Steinhagen-Thiessen E. Low-density lipoprotein cholesterol goal attainment in patients with clinical evidence of familial hypercholesterolemia and elevated Lp(a). Lipids Health Dis 2022; 21:114. [PMID: 36324160 PMCID: PMC9628073 DOI: 10.1186/s12944-022-01708-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/26/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Although potent lipid-lowering therapies are available, patients commonly fall short of recommended low-density lipoprotein cholesterol (LDL-C) levels. The aim of this study was to examine the relationship between familial hypercholesterolemia (FH) and elevated lipoprotein(a) [Lp(a)] and LDL-C goal attainment, as well as the prevalence and severity of coronary artery disease (CAD). Moreover, we characterized patients failing to meet recommended LDL-C goals. METHODS We performed a cross-sectional analysis in a cohort of patients undergoing cardiac catheterization. Clinical FH was determined by the Dutch Clinical Lipid Network Score, and Lp(a) ≥ 50 mg/dL (≈ 107 nmol/L) was considered elevated. RESULTS A total of 838 participants were included. Overall, the prevalence of CAD was 72%, and 62% received lipid-lowering treatment. The prevalence of clinical FH (probable and definite FH) was 4%, and 19% had elevated Lp(a) levels. With 35%, LDL-C goal attainment was generally poor. Among the participants with clinical FH, none reached their LDL-C target. Among patients with elevated Lp(a), LDL-C target achievement was only 28%. The prevalence and severity of CAD were higher in participants with clinical FH (86% prevalence) and elevated Lp(a) (80% prevalence). CONCLUSION Most participants failed to meet their individual LDL-C goals according to the ESC 2016 and 2019 guidelines. In particular, high-risk patients with clinical FH or elevated Lp(a) rarely met their target for LDL-C. The identification of these patients and more intense treatment approaches are crucial for the improvement of CAD primary and secondary prevention.
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Affiliation(s)
- Andrea Schwarz
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Biology of Aging Working Group, Augustenburger Platz 1, 13353, Berlin, Germany. .,Department of Pediatrics, Charité -Universitätsmedizin Berlin, Division of Cardiology, Berlin, Germany.
| | - Ilja Demuth
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Biology of Aging Working Group, Augustenburger Platz 1, 13353, Berlin, Germany.,BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Ulf Landmesser
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.,Department of Cardiology, Charité- Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany
| | - Arash Haghikia
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.,Department of Cardiology, Charité- Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany
| | - Maximilian König
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Biology of Aging Working Group, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Biology of Aging Working Group, Augustenburger Platz 1, 13353, Berlin, Germany.,Institute of Clinical Chemistry and Laboratory Medicine, University of Rostock, Rostock, Germany
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57
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Lankin VZ, Tikhaze AK, Kosach VY. Comparative Susceptibility to Oxidation of Different Classes of Blood Plasma Lipoproteins. BIOCHEMISTRY. BIOKHIMIIA 2022; 87:1335-1341. [PMID: 36509725 DOI: 10.1134/s0006297922110128] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The kinetics of free radical peroxidation of different classes of blood plasma lipoproteins (nanoparticles involved in lipid transport in the body) was studied. The susceptibility of atherogenic low-density lipoproteins (LDLs) to the Cu2+-initiated free radical peroxidation in vitro was found to be more than ten times higher than that of antiatherogenic high density lipoproteins (HDLs). The baseline content of acyl hydroperoxy derivatives of phospholipids (primary products of free radical peroxidation) in the outer layer of LDL particles in vivo measured per particle exceeded the baseline content of these compounds in HDL particles by more than an order of magnitude. The susceptibility to oxidation of the HDL2 subfraction of HDLs was higher than the susceptibility of total HDL fraction and HDL3 subfraction. The data obtained confirm an important role of free radical peroxidation of LDLs in the molecular mechanisms of vascular wall damage in atherosclerosis.
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Affiliation(s)
- Vadim Z Lankin
- National Medical Research Center of Cardiology, Ministry of Health of the Russian Federation, Moscow, 121552, Russia.
| | - Alla K Tikhaze
- National Medical Research Center of Cardiology, Ministry of Health of the Russian Federation, Moscow, 121552, Russia
| | - Valeria Ya Kosach
- National Medical Research Center of Cardiology, Ministry of Health of the Russian Federation, Moscow, 121552, Russia
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58
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Sykes AV, Patel N, Lee D, Taub PR. Integrating Advanced Lipid Testing and Biomarkers in Assessment and Treatment. Curr Cardiol Rep 2022; 24:1647-1655. [PMID: 36001215 DOI: 10.1007/s11886-022-01775-5] [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] [Accepted: 08/15/2022] [Indexed: 01/11/2023]
Abstract
PURPOSE OF REVIEW Our ability to assess and stratify atherosclerotic disease risk in patients is evolving. Recent advances in advanced lipid testing have created opportunities for clinical application of novel biomarkers. RECENT FINDINGS Until recently, LDL-C has served largely as the singular biomarker of ASCVD and guide for decisions in treatment for high-risk groups. There are important evolutions in the measurement of LDL-C but even still, the pathogenesis of atherosclerosis and ASCVD is not solely driven by LDL-C. As atherosclerosis is driven by multiple complex pathways including inflammation, it is important to expand our focus beyond LDL-C and utilize multiple biomarkers in the assessment of this disease process. Non-HDL, ApoB, LDL-P, Lp(a), and hsCRP are unique tools to aid in cardiac risk evaluation, especially in higher risk patients, though not limited to this population. A multifaceted approach to advanced lipid testing with novel biomarkers will enhance comprehensive ASCVD risk assessments.
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Affiliation(s)
- Alexandra Vaio Sykes
- Internal Medicine UC San Diego, La Jolla, 200 W. Arbor Drive, San Diego, CA, 92103-8425, USA.
| | - Neeja Patel
- UC San Diego School of Medicine, La Jolla, San Diego, CA, USA
| | - Danielle Lee
- Family Medicine UC San Diego, La Jolla, San Diego, CA, USA
| | - Pam R Taub
- Cardiovascular Medicine, UC San Diego, La Jolla, San Diego, CA, USA
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Di Folco U, Vallecorsa N, Nardone MR, Pantano AL, Tubili C. Effects of semaglutide on cardiovascular risk factors and eating behaviors in type 2 diabetes. Acta Diabetol 2022; 59:1287-1294. [PMID: 35842847 PMCID: PMC9288662 DOI: 10.1007/s00592-022-01936-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 06/29/2022] [Indexed: 11/30/2022]
Abstract
AIMS Aim of the present study was to evaluate the impact of once-weekly semaglutide on different end-points indicative of metabolic control, cardiovascular risk, dietary behavior, and treatment satisfaction in T2DM. METHODS This was a retrospective observational study conducted in a diabetes clinic. Changes in HbA1c, fasting blood glucose (FBG), weight, blood pressure, lipid profile, and number of antihypertensive drugs at 32 weeks (T1) after the first prescription of semaglutide (T0) were analyzed. Furthermore, at T1 patients were asked to fill-in the Diabetes Treatment Satisfaction Questionnaire (DTSQ) and the Control of Eating Questionnaire (COEQ). RESULTS Overall, 104 patients were identified (mean age 63.6 ± 10.4 years, 58.7% men, diabetes duration 12.7 ± 8.7 years). After 32 weeks of treatment with semaglutide, HbA1c levels were reduced by 1.38%, FBG by - 56.53 mg/dl, weight by 6.03 kg. Systolic and diastolic blood pressure, total, HDL-, LDL-, and non -HDL cholesterol, and triglycerides significantly improved. The number of glucose-lowering and antihypertensive drugs also decreased. At T1, DTSQ score was 32.23 ± 1.44, whereas COEQ indicated low levels of hunger and good control of eating. CONCLUSIONS The study documented benefits of semaglutide on metabolic control and multiple CV risk factors, simplification of therapeutic schemes and high satisfaction with diabetes treatment, and eating behaviors indicative of healthy diet and reduced food intake.
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Affiliation(s)
- Ugo Di Folco
- Diabetes Unit, "S. Camillo-Forlanini" Hospital, Rome, Italy.
| | | | | | | | - Claudio Tubili
- Diabetes Unit, "S. Camillo-Forlanini" Hospital, Rome, Italy
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60
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Wang A, Li Y, Zhou L, Liu K, Li S, Zong C, Song B, Gao Y, Li Y, Tian C, Xing Y, Xu Y, Wang L. Non-HDL-C/HDL-C ratio is associated with carotid plaque stability in general population: A cross-sectional study. Front Neurol 2022; 13:875134. [PMID: 36188405 PMCID: PMC9520290 DOI: 10.3389/fneur.2022.875134] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 08/15/2022] [Indexed: 12/16/2022] Open
Abstract
Background Carotid atherosclerosis, especially the rupture of unstable plaques, plays an important role in the development of stroke. A novel lipid ratio, the non-high-density lipoprotein cholesterol (non-HDL-C)/high-density lipoprotein cholesterol (HDL-C) ratio, contains both atherogenic and anti-atherogenic particle information, and has been shown to be associated with carotid atherosclerosis. However, there is no data on evaluating the association between non-HDL-C/HDL-C ratio and carotid plaque stability. Methods This study was carried out on 27,436 urban workers aged 20 years or older who participated in a comprehensive health screening between January 2016 and December 2017. Carotid plaque stability was assessed using ultrasonography. Multinomial logistic regression models were used to explore the relationship between the non-HDL-C/HDL-C ratio and carotid plaque stability by odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed to verify the robustness of the results. Results Carotid plaque was detected in 7,161 (26.1%) participants, with stable and unstable plaque accounting for 3,277 (11.9%) and 3,884 (14.2%), respectively. The prevalence of stable carotid plaque substantially increased with increasing non-HDL-C/HDL-C ratio quartile levels (p for trend < 0.001) and with a similar association for unstable carotid plaque (p for trend < 0.001). The mean non-HDL-C/HDL-C ratios (mean ± SD) of non-carotid plaque (2.9 ± 1.1), stable carotid plaque (3.2 ± 1.2), and unstable carotid plaque (3.4 ± 1.4) gradually increased (p < 0.001). In multinomial logistic regression, ORs (95% CIs) for the highest vs. lowest quartile of the non-HDL-C/HDL-C ratio were 1.70 (1.48-1.95) between stable carotid plaques and no carotid plaque, 2.34 (2.06-2.67) between unstable carotid plaques and no carotid plaque, and 1.38 (1.18-1.61) between unstable carotid plaques and stable carotid plaque, after adjusting for common cardiovascular risk factors. The results of subgroup analysis and sensitivity analysis were similar. Conclusion Our findings suggested that the non-HDL-C/HDL-C ratio was significantly associated with carotid plaque stability and might be a useful indicator for the early identification of high-risk carotid plaque.
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Affiliation(s)
- Anran Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yapeng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lue Zhou
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Kai Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Shaohua Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Ce Zong
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Bo Song
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yuan Gao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yusheng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | | | - Yurong Xing
- Physical Examination Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuming Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Longde Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- The General Office of Stroke Prevention Project Committee, National Health Commission of the People's Republic of China, Beijing, China
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Tohidi M, Asgari S, Chary A, Azizi F, Hadaegh F. The association between low-density and non-high-density lipoprotein cholesterol with incident cardiovascular disease among low-risk Iranians during 2 decades follow-up. Clin Biochem 2022; 109-110:28-36. [PMID: 35970222 DOI: 10.1016/j.clinbiochem.2022.08.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 07/31/2022] [Accepted: 08/10/2022] [Indexed: 11/24/2022]
Abstract
INTRODUCTION To examine the associations between low-density and non-high-density lipoprotein cholesterol (LDL-C and non-HDL-C, respectively) with incident cardiovascular disease (CVD) in low-risk subjects. MATERIALS AND METHODS From a total of 2476 non-diabetic aged 40-70 years, free of CVD with LDL-C range 1.81≤LDL-C<4.91mmol/L with 10-year atherosclerotic cardiovascular disease (ASCVD) risk <7.5%, the associations of LDL-C and non-HDL-C with incident CVD were assessed using multivariable Cox proportional hazard regression analyses adjusted for age, sex, body mass index, waist circumference, HDL-C, triglycerides, chronic kidney disease, current smoking, hypertension, and family history of CVD. RESULTS During a median follow-up of 18 years, 559 CVD events occurred. Compared to the LDL-C <2.59 mmol/L as reference, the categories of 2.59≤LDL-C<3.36, 3.36≤LDL-C<4.14, and ≥4.14 mmol/L were associated with hazard ratios (95% confidence intervals) of 1.39(0.89-2.18), 1.72(1.11-2.68), and 2.19(1.36-3.51) for incident CVD (P for trend<0.0001), respectively. Compared to the non-HDL-C<3.36 as reference, the categories of 3.36≤non-HDL-C<4.14, 4.14≤non-HDL-C<4.91, and ≥4.91 mmol/L were associated with 1.48(0.96-2.30), 1.37(0.89-2.16), and 2.15(1.36-3.39) higher risk for incident CVD (P for trend <0.0001), respectively. Among those with ASCVD score <5% (n=2070), even the 2.59≤LDL-C<3.36 mmol/L increased the risk for CVD [1.73(1.01-2.97)]. Results for non-HDL-C categories remained unchanged except for the category of 4.14≤non-HDL-C<4.91 mmol/L that was not associated with CVD. CONCLUSIONS Among Iranian individuals with ASCVD risk as little as <5%, LDL-C≥2.59 mmol/L and non-HDL-C≥3.36 mmol/L, independent of traditional risk factors, were associated with a significantly higher risk of incident CVD, individuals that might potentially benefit from pharmacological therapy.
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Affiliation(s)
- Maryam Tohidi
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Samaneh Asgari
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Abdolreza Chary
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Zhang C, Ni J, Chen Z. Apolipoprotein B Displays Superior Predictive Value Than Other Lipids for Long-Term Prognosis in Coronary Atherosclerosis Patients and Particular Subpopulations: A Retrospective Study. Clin Ther 2022; 44:1071-1092. [PMID: 35902283 DOI: 10.1016/j.clinthera.2022.06.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 06/10/2022] [Accepted: 06/28/2022] [Indexed: 01/13/2023]
Abstract
PURPOSE Accumulating evidence that apolipoprotein B (apoB) plays a critical role in predicting coronary heart disease (CHD) and future outcomes. The 2019 European Society of Cardiology/European Atherosclerosis Society guidelines suggest that apoB can be an alternative to non-HDL-C or LDL-C in patients with high triglyceride levels, diabetes, obesity, metabolic syndrome, or very low LDL-C levels. This study explores whether apoB can also serve as predictive value for long-term major adverse cardiovascular events (MACEs) in normal people and specific coronary atherosclerosis patients. METHODS A total of 826 patients were followed up over 10 years, and the risk factors for MACEs were retrospectively analyzed in patients with CHD and particular subpopulations. All statistical analyses were performed in R software. Cox regressions were performed to assess independent risk factors of long-term MACEs in the atherosclerosis group and CHD subgroups. Kaplan-Meier survival curves were used to evaluate the survival rate for patients in different apoB quartiles, and receiver-operating characteristic curves were used to compare apoB and other lipids in predicting the presence of long-term MACE. FINDINGS apoB could be a "risk-enhancing factor" in patients with coronary atherosclerosis disease, whereas in the Normal population, LDL-C still acted as a major risk factor for predicting MACEs. apoB was a good risk predictor for long-term cardiovascular events in coronary atherosclerosis (AS) patients, including the AS group and CHD subpopulations (including CHD + triglyceride ≥2.3 mmol/L, CHD + diabetes mellitus, CHD + body mass index ≥25 kg/m2, or CHD + metabolic syndrome). In patients with CHD whose condition was complicated with diabetes, obesity, and metabolic syndrome, apoB performed better than other lipids in predicting the presence of myocardial infarction, hospitalization due to angina, and cardiac death. Despite achieving optimal LDL-C or non-HDL-C levels, patients with CHD are still at risk of worse survival if they are unable to reach a low apoB level (lower cut points such as 65 mg/dL). IMPLICATIONS More attention should be paid to special populations with residual elevations of atherogenic particle numbers, and greater focus should be placed on lowering baseline apoB to achieve long-term benefits. However, given that this was an observational study, the association of baseline apoB level and long-term MACEs only was evaluated; it is unclear whether the emergence of MACEs would be influenced by the dynamic changes of apoB. Because this was a retrospective and observational analysis, bias in data analysis was unavoidable; thus, the results cannot be used to generalize implications to broader patient populations, and more large-scale clinical trials are required to verify these findings. (Clin Ther. 2022;44:XXX-XXX) © 2022 Elsevier HS Journals, Inc.
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Affiliation(s)
- Chunyan Zhang
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingwei Ni
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhenyue Chen
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Huang H, Guo Y, Liu Z, Zeng Y, Chen Y, Xu C. Remnant Cholesterol Predicts Long-term Mortality of Patients With Metabolic Dysfunction-associated Fatty Liver Disease. J Clin Endocrinol Metab 2022; 107:e3295-e3303. [PMID: 35521833 DOI: 10.1210/clinem/dgac283] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Indexed: 01/04/2023]
Abstract
CONTEXT Elevated serum remnant cholesterol independently predicts risks of cardiovascular diseases. However, the association between remnant cholesterol and metabolic dysfunction-associated fatty liver disease (MAFLD) remains unclear. OBJECTIVE This study aimed to explore the association of remnant cholesterol with MAFLD and its long-term mortality. METHODS We extracted data from the NHANES III, 1988 to1994 and the linked mortality data until December 31, 2015. The association between remnant cholesterol and MAFLD was analyzed by multivariable logistic regression. Cox proportional hazards regression was performed to assess whether elevated remnant cholesterol increased all-cause and cause-specific mortalities in MAFLD patients. RESULTS At baseline, 28.6% (1474/5156) of participants had MAFLD. In multivariable logistic regression, the fourth quartile of remnant cholesterol was associated with an increased risk of MAFLD compared with the first quartile (odds ratio [OR]: 1.714; 95% CI, 1.586-1.971; P < .001). In participants with normal levels of triglycerides, low-density lipoprotein and high-density lipoprotein cholesterol, the relationship between remnant cholesterol and MAFLD risk remained significant (OR: 1.346; 95% CI, 1.248-1.761; P < .001). During a median follow-up of 307 months, MAFLD patients with serum remnant cholesterol in the fourth quartile were associated with a higher risk of all-cause mortality (hazard ratio [HR]: 2.183; 95% CI, 1.825-2.407; P < .001), as well as a higher risk of cardiovascular mortality (HR: 2.346; 95% CI, 2.046-2.885; P < .001) and cancer-related mortality (HR: 2.366; 95% CI, 1.864-2.932; P < .001) compared with MAFLD patients in the first quartile. CONCLUSION Remnant cholesterol was independently associated with the risk of MAFLD and predicted all-cause, cardiovascular, and cancer-related mortalities in MAFLD patients.
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Affiliation(s)
- Hangkai Huang
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yanjun Guo
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Zhening Liu
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yan Zeng
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yishu Chen
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Chengfu Xu
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
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Jia X, Qi Y, Zheng R, Lin L, Hu C, Zhu Y, Cao Q, Wu X, Qi H, Wei R, Zhang Y, Xu M, Xu Y, Wang T, Zhao Z, Chen Y, Li M, Wang W, Bi Y, Lu J. Discordance of Apolipoprotein B, Non-HDL-Cholesterol, and LDL-Cholesterol Predicts Risk of Increased Arterial Stiffness and Elevated Carotid Intima-Media Thickness in Middle-Aged and Elderly Chinese Adults. Front Cardiovasc Med 2022; 9:906396. [PMID: 35665267 PMCID: PMC9157542 DOI: 10.3389/fcvm.2022.906396] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 04/21/2022] [Indexed: 02/02/2023] Open
Abstract
Background Apolipoprotein B (apoB) and non-high-density lipoprotein cholesterol (non-HDL-C) have been shown to predict cardiovascular disease (CVD) even in the case of low levels of low-density lipoprotein cholesterol (LDL-C). We aimed to investigate whether the discordance between LDL-C and apoB or non-HDL-C was associated with arterial stiffness and elevated carotid intima-media thickness (CIMT) in middle-aged and elderly adults. Methods A total of 5,279 Chinese adults free of CVD at baseline were included and followed with a mean follow-up of 4.3 years. Arterial stiffness was measured by brachial-ankle pulse wave velocity (baPWV) and pulse pressure (PP). The associations of apoB, non-HDL-C, and LDL-C with arterial stiffness or elevated CIMT were examined with logistic regression models using either continuous scales by restricted cubic splines or categories of concordant and discordant values defined by medians. Results High apoB but not LDL-C was associated with elevated baPWV or PP. High apoB, non-HDL-C, and LDL-C were all associated with elevated CIMT (p < 0.05). Individuals with low levels of LDL-C and discordantly high apoB or non-HDL-C compared to those with concordantly low apoB or non-HDL-C demonstrated higher risks of elevated baPWV [ORs (95% CI) of 1.40 (1.03–1.91) and 1.56 (1.12–2.18), respectively] and elevated PP [ORs (95% CI) of 1.61 (1.19–2.18) and 1.55 (1.12–2.15), respectively]. While, discordant high LDL-C with low apoB was associated with an increased risk of elevated CIMT (OR, 1.74; 95% CI, 1.13–2.69). Conclusion Discordance analysis revealed that elevated apoB or non-HDL-C was a better predictor of risk of arterial stiffness, whereas LDL-C for elevated CIMT.
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Affiliation(s)
- Xiaojing Jia
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuanyue Zhu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiuyu Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xueyan Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongyan Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ran Wei
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Grinshtein YI, Shabalin VV, Ruf RR, Shalnova SA, Drapkina OM. Atherogenic index of plasma as an additional marker of adverse cardiovascular outcomes. КАРДИОВАСКУЛЯРНАЯ ТЕРАПИЯ И ПРОФИЛАКТИКА 2022. [DOI: 10.15829/1728-8800-2022-3176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Aim. Using a representative sample of the Krasnoyarsk Krai population, to evaluate the distribution of the atherogenic index of plasma (AIP), logarithmically transformed ratio of molar concentrations of triglycerides to high-density lipoprotein-cholesterol, and to identify possible associations between AIP, various cardiovascular diseases, and metabolic parameters.Material and methods. The study included a random representative sample of 1603 residents of the Krasnoyarsk and Berezovsky rural district aged 25-64 years as part of the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation (ESSE-RF) study. Statistical processing was performed using IBM SPSS v22 and Microsoft Excel 2021 programs. We assessed the prevalence of hypertension (HTN), coronary artery disease, myocardial infarction (MI), stroke and renal dysfunction in the whole sample and in groups with different risk depending on AIP. Differences between groups were tested by Yates’s chi-squared test and were considered significant at p≤0,05.Results. Depending on AIP value, 73,5% of participants were in the low-risk group (AIP <0,10), 10,4% — in moderate risk group (AIP, 0,100,24) and 16,1% — in high-risk group (AIP>0,24). The prevalence of prior MI or stroke in the moderate and high-risk group for AIP was significantly higher than in the low-risk group (p=0,024). A regular increase in HTN prevalence was registered from 42,6% in the lowrisk group to 71,4% in the high-risk group for AIP (p<0,001 for all). There was a significant increase in the proportion of patients with a combination of HTN + elevated low-density lipoprotein cholesterol levels as AIP risk increased — from 28,4% at low risk to 45,2% at high risk. There were no significant differences between AIP risk groups in the prevalence of coronary artery disease and renal dysfunction.Conclusion. AIP is a simple additional estimated parameter that characterizes the atherogenic properties of plasma. Based on a cohort of Krasnoyarsk Krai subjects, an elevated level of AIP is associated with an increased prevalence of MI and strokes. Determination of AIP may be especially useful in the case of normal baseline low-density lipoprotein cholesterol levels.
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Affiliation(s)
| | - V. V. Shabalin
- V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University
| | - R. R. Ruf
- V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University
| | - S. A. Shalnova
- National Medical Research Center for Therapy and Preventive Medicine
| | - O. M. Drapkina
- National Medical Research Center for Therapy and Preventive Medicine
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Wu H, Yu Z, Huang Q. Characteristics of serum lipid levels in patients with hypertension: a hospital-based retrospective descriptive study. BMJ Open 2022; 12:e054682. [PMID: 36547874 PMCID: PMC9171285 DOI: 10.1136/bmjopen-2021-054682] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Dyslipidaemia is different among patients with hypertension in different populations. The serum lipid profiles among Hakka patients with hypertension in southern China are still unclear. METHODS 35 448 patients with hypertension were enrolled in this study from January 2016 to October 2020, and their serum lipids were analysed. RESULTS Low high-density lipoprotein-cholesterol (HDL-C) (29.9%) accounted for the highest proportion in dyslipidaemia, followed by high triglyceride (TG) (20.7%), high total cholesterol (TC) (14.0%) and high low-density lipoprotein-cholesterol (LDL-C) (7.9%) in all subjects. The largest proportion of dyslipidaemia types was independent low HDL-C (12.7%). The proportion of low HDL-C was 15.5% in non-elderly men, 6.4% in non-elderly women, 16.7% in elderly men and 8.5% in elderly women, respectively. The largest proportion of dyslipidaemia types was independent high TG in non-elderly female patients (13.7%) and elderly patients (8.9%). The results showed that higher LDL-C, TC and TG levels in non-elderly patients than elderly patients. TG, TC and LDL-C levels decreasing with the increasing age, the differences were statistically significant. The levels of TG, TC, HDL-C and LDL-C in women were higher than in men among various age groups. Homocysteine level was increasing with increasing age. CONCLUSIONS Serum lipid levels varied in different groups according to age and sex in patients with hypertension. Dyslipidaemia is more common in non-elderly patients than elderly. TG, TC and LDL-C levels were higher in female patients than male.
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Affiliation(s)
- Heming Wu
- Center for Precision Medicine, Meizhou People's Hospital, Meizhou, China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital, Meizhou, China
- Guangdong Provincial Engineering and Technology Research Center for Molecular Diagnostics of Cardiovascular Diseases, Meizhou People's Hospital, Meizhou, China
| | - Zhikang Yu
- Center for Precision Medicine, Meizhou People's Hospital, Meizhou, China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital, Meizhou, China
- Guangdong Provincial Engineering and Technology Research Center for Molecular Diagnostics of Cardiovascular Diseases, Meizhou People's Hospital, Meizhou, China
| | - Qingyan Huang
- Center for Precision Medicine, Meizhou People's Hospital, Meizhou, China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital, Meizhou, China
- Guangdong Provincial Engineering and Technology Research Center for Molecular Diagnostics of Cardiovascular Diseases, Meizhou People's Hospital, Meizhou, China
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Bays HE, Kulkarni A, German C, Satish P, Iluyomade A, Dudum R, Thakkar A, Rifai MA, Mehta A, Thobani A, Al-Saiegh Y, Nelson AJ, Sheth S, Toth PP. Ten things to know about ten cardiovascular disease risk factors - 2022. Am J Prev Cardiol 2022; 10:100342. [PMID: 35517870 PMCID: PMC9061634 DOI: 10.1016/j.ajpc.2022.100342] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 03/19/2022] [Accepted: 04/01/2022] [Indexed: 12/12/2022] Open
Abstract
The American Society for Preventive Cardiology (ASPC) "Ten things to know about ten cardiovascular disease risk factors - 2022" is a summary document regarding cardiovascular disease (CVD) risk factors. This 2022 update provides summary tables of ten things to know about 10 CVD risk factors and builds upon the foundation of prior annual versions of "Ten things to know about ten cardiovascular disease risk factors" published since 2020. This 2022 version provides the perspective of ASPC members and includes updated sentinel references (i.e., applicable guidelines and select reviews) for each CVD risk factor section. The ten CVD risk factors include unhealthful dietary intake, physical inactivity, dyslipidemia, pre-diabetes/diabetes, high blood pressure, obesity, considerations of select populations (older age, race/ethnicity, and sex differences), thrombosis (with smoking as a potential contributor to thrombosis), kidney dysfunction and genetics/familial hypercholesterolemia. Other CVD risk factors may be relevant, beyond the CVD risk factors discussed here. However, it is the intent of the ASPC "Ten things to know about ten cardiovascular disease risk factors - 2022" to provide a tabular overview of things to know about ten of the most common CVD risk factors applicable to preventive cardiology and provide ready access to applicable guidelines and sentinel reviews.
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Affiliation(s)
- Harold E Bays
- Louisville Metabolic and Atherosclerosis Research Center, Clinical Associate Professor, University of Louisville School of Medicine, 3288 Illinois Avenue, Louisville KY 40213
| | - Anandita Kulkarni
- Duke Clinical Research Institute, 200 Morris Street, Durham, NC, 27701
| | - Charles German
- University of Chicago, Section of Cardiology, 5841 South Maryland Ave, MC 6080, Chicago, IL 60637
| | - Priyanka Satish
- Houston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA 77030
| | - Adedapo Iluyomade
- Miami Cardiac & Vascular Institute, Baptist Health South Florida, Miami, FL 33176
| | - Ramzi Dudum
- Department of Cardiovascular Medicine, Stanford University, Stanford, CA
| | - Aarti Thakkar
- Osler Medicine Program, Johns Hopkins Hospital, Baltimore MD
| | | | - Anurag Mehta
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Aneesha Thobani
- Emory University School of Medicine | Department of Cardiology, 101 Woodruff Circle, WMB 2125, Atlanta, GA 30322
| | - Yousif Al-Saiegh
- Lankenau Medical Center – Mainline Health, Department of Cardiovascular Disease, 100 E Lancaster Ave, Wynnewood, PA 19096
| | - Adam J Nelson
- Center for Cardiovascular Disease Prevention, Cardiovascular Division, Baylor Scott and White Health Heart Hospital Baylor Plano, Plano, TX 75093
| | - Samip Sheth
- Georgetown University School of Medicine, 3900 Reservoir Rd NW, Washington, DC 20007
| | - Peter P. Toth
- CGH Medical Cener, Sterling, IL 61081
- Cicarrone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD
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Romano G, Mioni R, Danieli N, Bertoni M, Croatto E, Merla L, Alcaro L, Pedduzza A, Metcalf X, Rigamonti A, Catena C, Sechi LA, Colussi G. Elevated Intrarenal Resistive Index Predicted Faster Renal Function Decline and Long-Term Mortality in Non-Proteinuric Chronic Kidney Disease. J Clin Med 2022; 11:jcm11112995. [PMID: 35683384 PMCID: PMC9181195 DOI: 10.3390/jcm11112995] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 05/19/2022] [Accepted: 05/24/2022] [Indexed: 12/19/2022] Open
Abstract
Background. Intrarenal resistive index (RI) ≥ 0.80 predicts renal outcomes in proteinuric chronic kidney disease (CKD). However, this evidence in non-proteinuric patients with CKD of unknown etiology is lacking. In this study, we assessed the effect of intrarenal RI on renal function and all-cause mortality in non-proteinuric patients with CKD of unknown etiology despite an extensive diagnostic work-up. Methods. Non-proteinuric CKD patients were evaluated in a retrospective longitudinal study. Progression of renal disease was investigated by checking serum creatinine levels at 1, 3, and 5 years and defined by a creatinine level increase of at least 0.5 mg/dL. The discrimination performance of intrarenal RI in predicting the 5-year progression of renal disease was assessed by calculating the area under the receiver operating characteristic curve (AUROC). Results. One-hundred-thirty-one patients (76 ± 9 years, 56% males) were included. The median follow-up was 7.5 years (interquartile range 4.3−10.5) with a cumulative mortality of 53%, and 5-year renal disease progression occurred in 25%. Patients with intrarenal RI ≥ 0.80 had a faster increase of serum creatinine levels compared to those with RI < 0.80 (+0.06 mg/dL each year, 95% CI 0.02−0.10, p < 0.010). Each 0.1-unit increment of intrarenal RI was an independent determinant of 5-year renal disease progression (odds ratio 4.13, 95% CI 1.45−12.9, p = 0.010) and predictor of mortality (hazards ratio 1.80, 95% CI 1.05−3.09, p = 0.034). AUROCs of intrarenal RI for predicting 5-year renal disease progression and mortality were 0.66 (95% CI 0.57−0.76) and 0.67 (95% CI 0.58−0.74), respectively. Conclusions. In non-proteinuric patients with CKD of unknown etiology, increased intrarenal RI predicted both a faster decline in renal function and higher long-term mortality, but as a single marker, it showed poor discrimination performance.
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Affiliation(s)
- Giulio Romano
- Nephrology, Department of Medicine, University of Udine, 33100 Udine, Italy; (G.R.); (N.D.); (M.B.)
| | - Roberto Mioni
- Division of Nephrology, Academic Hospital of Udine “Santa Maria della Misericordia”, 33100 Udine, Italy;
| | - Nicola Danieli
- Nephrology, Department of Medicine, University of Udine, 33100 Udine, Italy; (G.R.); (N.D.); (M.B.)
| | - Martina Bertoni
- Nephrology, Department of Medicine, University of Udine, 33100 Udine, Italy; (G.R.); (N.D.); (M.B.)
| | - Elisa Croatto
- Internal Medicine, Department of Medicine, University of Udine, 33100 Udine, Italy; (E.C.); (L.M.); (L.A.); (A.P.); (X.M.); (C.C.); (L.A.S.)
| | - Lucia Merla
- Internal Medicine, Department of Medicine, University of Udine, 33100 Udine, Italy; (E.C.); (L.M.); (L.A.); (A.P.); (X.M.); (C.C.); (L.A.S.)
| | - Lucia Alcaro
- Internal Medicine, Department of Medicine, University of Udine, 33100 Udine, Italy; (E.C.); (L.M.); (L.A.); (A.P.); (X.M.); (C.C.); (L.A.S.)
| | - Antonio Pedduzza
- Internal Medicine, Department of Medicine, University of Udine, 33100 Udine, Italy; (E.C.); (L.M.); (L.A.); (A.P.); (X.M.); (C.C.); (L.A.S.)
| | - Xenia Metcalf
- Internal Medicine, Department of Medicine, University of Udine, 33100 Udine, Italy; (E.C.); (L.M.); (L.A.); (A.P.); (X.M.); (C.C.); (L.A.S.)
| | - Alessandra Rigamonti
- Department of Radiology, Academic Hospital of Udine “Santa Maria della Misericorida”, 33100 Udine, Italy;
| | - Cristiana Catena
- Internal Medicine, Department of Medicine, University of Udine, 33100 Udine, Italy; (E.C.); (L.M.); (L.A.); (A.P.); (X.M.); (C.C.); (L.A.S.)
| | - Leonardo A. Sechi
- Internal Medicine, Department of Medicine, University of Udine, 33100 Udine, Italy; (E.C.); (L.M.); (L.A.); (A.P.); (X.M.); (C.C.); (L.A.S.)
| | - GianLuca Colussi
- Internal Medicine, Department of Medicine, University of Udine, 33100 Udine, Italy; (E.C.); (L.M.); (L.A.); (A.P.); (X.M.); (C.C.); (L.A.S.)
- Correspondence: ; Tel.: +39-0432-559-829; Fax: +39-0432-559-490
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Valinskas S, Aleknavicius K, Jonusas J. KetoCycle mobile app for ketogenic diet: a retrospective study of weight loss and engagement. BMC Nutr 2022; 8:40. [PMID: 35501935 PMCID: PMC9063366 DOI: 10.1186/s40795-022-00539-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 04/27/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The ketogenic diet is one of the oldest diets that has been used for more than a centennial in the clinical setting, and it is gaining popularity as a measure to fight obesity, which is a major predisposing factor for many diseases to manifest, including diabetes mellitus, chronic heart disease, cancer, and others. Thus, we designed this retrospective investigation to determine if users of the mobile application KetoCycle achieved statistically significant weight loss outcomes. METHODS The initial study cohort comprised 12,965 consecutive users who started using KetoCycle between January 2020 and December 2020. The final cohort comprised 10,269 users. The main parameters obtained from the database containing all self-reported data were gender, number of active days (AD), total time of use (TT), height, initial weight, and last recorded weight. The primary outcome of the study was weight loss. Statistical analyses were performed using IBM SPSS Statistics, version 26 (IBM Corp., Armonk, NY, USA). In addition, a standard multiple regression model was created to predict weight loss from significant actions. RESULTS A retrospective analysis of KetoCycle user data showed that 87.3% of KetoCycle users lost some of their initial weight. Of those, 1645 users (18.3%) lost more than 10% of their initial body weight, 3528 (39.3%) users lost between 5 and 10% of their initial body weight, and 3796 (42.3%) users lost less than 5% of their body weight. When user activity was taken into account, it was found that active users lost statistically significantly more weight than non-active users (p < 0.05). App engagement was also associated with losing > 5% of initial weight. Using water tracking, weight tracking, and creation of a meals list within KetoCycle statistically significantly predicted weight loss in a multiple regression model. CONCLUSIONS We concluded that KetoCycle appeared as a promising mobile application suited for weight loss and weight control. TRIAL REGISTRATION This retrospective chart review study was approved by BRANY IRB in January 2022 (registration ID.: 21-08-564-939).
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Affiliation(s)
- Sarunas Valinskas
- Faculty of Medicine, Vilnius University, M. K. Čiurlonio Str. 21, 03101, Vilnius, Lithuania
- Kilo.Health, Antakalnio g. 17, LT 10312, Vilnius, Lithuania
| | | | - Justinas Jonusas
- Kilo.Health, Antakalnio g. 17, LT 10312, Vilnius, Lithuania.
- Lithuania Business University of Applied Sciences, Turgaus st. 21, LT 91249, Klaipeda, Lithuania.
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Prater MC, Scheurell AR, Paton CM, Cooper JA. Blood Lipid Responses to Diets Enriched with Cottonseed Oil Compared With Olive Oil in Adults with High Cholesterol in a Randomized Trial. J Nutr 2022; 152:2060-2071. [PMID: 35511204 PMCID: PMC9449680 DOI: 10.1093/jn/nxac099] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/25/2022] [Accepted: 04/26/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Increasing unsaturated fat intake is beneficial for cardiovascular health, but the type of unsaturated fat to recommend remains equivocal. OBJECTIVES We investigated the effects of an 8-week diet intervention that was rich in either cottonseed oil (CSO; PUFA rich) or olive oil (OO; MUFA rich) on blood lipids in hypercholesterolemic adults. METHODS Forty-three men and women with hypercholesterolemia (53 ± 10 years; BMI, 27.6 ± 4.8 kg/m2) completed this randomized parallel clinical trial consisting of an 8-week partial outpatient feeding intervention. Participants were given meals and snacks accounting for ∼60% of their daily energy needs, with 30% of energy needs from either CSO (n = 21) or OO (n = 22). At pre- and postdiet intervention visits, participants consumed a high-SFA meal (35% of total energy needs; 70% of energy from fat). The primary outcomes of fasting cholesterol profiles and secondary outcomes of postprandial blood lipids and glycemic markers were assessed over a 5-hour period. RESULTS There were greater reductions from baseline to week 8 in fasting serum total cholesterol (TC; -17.0 ± 3.94 mg/dL compared with -2.18 ± 3.72 mg/dL, respectively; P = 0.008), LDL cholesterol (-19.7 ± 3.94 mg/dL compared with -5.72 ± 4.23 mg/dL, respectively; P = 0.018), non-HDL cholesterol (-20.8 mg/dL ± 4.00 compared with -6.61 ± 4.01 mg/dL, respectively; P = 0.014), and apoB (-11.8 mg/dL ± 2.37 compared with -3.10 ± 2.99 mg/dL, respectively; P = 0.05), in CSO compared with OO. There were also visit effects from baseline to week 8 for increases in HDL cholesterol (CSO, 56.5 ± 2.79 mg/dL to 60.2 ± 3.35 mg/dL, respectively; OO: 59.7 ± 2.63 mg/dL to 64.1 ± 2.24 mg/dL, respectively; P < 0.001), and decreases in the TC:HDL-cholesterol ratio (CSO, 4.30 ± 0.27 mg/dL to 3.78 ± 0.27 mg/dL, respectively; OO, 3.94 ± 0.16 mg/dL to 3.57 ± 0.11 mg/dL, respectively; P < 0.001), regardless of group assignment. In response to the high-SFA meal, there were differences in postprandial plasma glucose (P = 0.003) and triglyceride (P = 0.004) responses and a trend in nonesterified fatty acids (P = 0.11) between groups, showing protection in the postprandial state from an occasional high-SFA fat meal with CSO, but not OO, diet enrichment. CONCLUSIONS CSO, but not OO, diet enrichment caused substantial improvements in fasting and postprandial blood lipids and postprandial glycemia in hypercholesterolemic adults. This trial was registered at clinicaltrials.gov as NCT04397055.
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Affiliation(s)
- M Catherine Prater
- Department of Nutritional Sciences, University of Georgia, Athens, GA, USA
| | - Alexis R Scheurell
- Department of Nutritional Sciences, University of Georgia, Athens, GA, USA
| | - Chad M Paton
- Department of Nutritional Sciences, University of Georgia, Athens, GA, USA,Department of Food Science and Technology, University of Georgia, Athens, GA, USA
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Effect of PCSK9 Inhibitor on Blood Lipid Levels in Patients with High and Very-High CVD Risk: A Systematic Review and Meta-Analysis. Cardiol Res Pract 2022; 2022:8729003. [PMID: 35529059 PMCID: PMC9072011 DOI: 10.1155/2022/8729003] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/30/2022] [Accepted: 04/07/2022] [Indexed: 11/24/2022] Open
Abstract
Objectives We aimed to investigate the effects of proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor on blood lipid levels in patients with high and very-high cardiovascular risk. Design 14 trials (n = 52,586 patients) comparing treatment with or without PCSK9 inhibitors were retrieved from PubMed and Embase updated to 1st Jun 2021. The data quality of included studies was assessed by two independent researchers using the Cochrane systematic review method. All-cause mortality, cardiovascular mortality, and changes in serum low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglyceride (TG), apolipoprotein B (ApoB), lipoprotein (a) (LP (a)), non-high-density lipoprotein cholesterol (non-HDL-C), high-density lipoprotein cholesterol (HDL-C), and apolipoprotein A1 (ApoA1) from baseline were analyzed using Rev Man 5.1.0 software. Results Compared with treatments without PCSK9 inhibitor, addition of PCSK9 inhibitors (evolocumab and alirocumab) had obvious decreasing effects on the levels of LDL-C [MD = −46.86, 95% CI (−54.99 to −38.72), P < 0.00001], TC [MD = −31.92, 95% CI (−39.47 to −24.38), P < 0.00001], TG [MD = −8.13, 95% CI (−10.48 to −5.79), P < 0.00001], LP(a) [MD = −26.69, 95% CI (-27.93 to −25.44), P < 0.00001], non-HDL-C [MD = −42.86, 95% CI (−45.81 to −39.92), P < 0.00001], and ApoB [MD = −38.44, 95% CI (−42.23 to -34.65), P < 0.00001] in high CVD risk patients. Conversely, changes of HDL-C [MD = 6.27, CI (5.17 to 7.36), P < 0.00001] and ApoA1 [MD = 4.33, 95% CI (3.53 to 5.13), P < 0.00001] from baseline were significantly more in high cardiovascular disease risk patients who received PCSK9 inhibitors treatment. Conclusion Addition of PCSK9 inhibitors to standard therapy resulted in definite improvement in blood lipid levels compared with therapies that did not include them.
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The Mechanism of Dendrobium officinale as a Treatment for Hyperlipidemia Based on Network Pharmacology and Experimental Validation. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:5821829. [PMID: 35502176 PMCID: PMC9056230 DOI: 10.1155/2022/5821829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 12/19/2021] [Accepted: 02/11/2022] [Indexed: 11/17/2022]
Abstract
Aim and Objective. Hyperlipidemia is a public health matter of global scale, contributing to a wide range of diseases that can result in severe complications and significant annual mortality. Dendrobium officinale (DO) is an edible plant with a long medicinal history in China. Our previous studies revealed that DO may have therapeutic benefits in lipid disorders. However, the mechanism of its active compounds is still unclear. This research aimed at uncovering the hidden anti-hyperlipidemia mechanisms of DO through network pharmacology and experimental validation. Materials and Methods. The active compounds in DO, their targets, and targets associated with hyperlipidemia were screened across various databases, and the hidden targets of DO in treating hyperlipidemia were forecast. The compound-target (C-T), protein-protein interaction (PPI), and compound-target-pathway (C-T-P) networks of DO were set up with Cytoscape software. The hub genes and core clusters of DO predicted to be active against hyperlipidemia were calculated by Cytoscape. The DAVID database was adopted for Gene Ontology (GO) analysis and KEGG pathway enrichment analysis. Next, we used the high-sucrose-fat diet and alcohol (HFDA)-induced hyperlipidemia rats to evaluate the hypolipidemic effect of DO. Results. In this study, we obtained 264 compounds from DO, revealed 11 bioactive compounds, and predicted 89 potential targets of DO. The network analysis uncovered that naringenin, isorhamnetin, and taxifolin might be the compounds in DO that are mainly in charge of its roles in hyperlipidemia and might play a role by modulating the targets (including PPARG, ADIPOQ, AKT1, TNF, and APOB). The pathway analysis showed that DO might affect diverse signaling pathways related to the pathogenesis of hyperlipidemia, including PPAR signaling pathway, insulin resistance, AMPK signaling pathway, and non-alcoholic fatty liver disease simultaneously. Meanwhile, in the HFDA-induced hyperlipidemia rat model, DO could significantly decrease the level of TC, TG, LDL-c, and ALT in serum, and increase HDL-c as well. The liver pathological section indicated that DO could ease liver damage and lipid cumulation. Conclusion. In summary, the biological targets of the main bioactive compounds in DO were found to distribute across multiple metabolic pathways. These findings suggest that a mutual regulatory system consisting of multiple components, targets, and pathways is a likely mechanism through which DO may improve hyperlipidemia. Validation experiments indicated that DO may treat hyperlipidemia by affecting NAFLD-related signaling pathways.
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Abstract
PURPOSE OF REVIEW : Familial combined hyperlipidemia (FCH), defined by concurrently elevated plasma triglyceride (TG) and low-density lipoprotein (LDL) cholesterol, has long been investigated to characterize its genetic basis. Despite almost half a century of searching, a single gene cause for the phenotype has not yet been identified. RECENT FINDINGS : Recent studies using next-generation genetic analytic methods confirm that FCH has a polygenic basis, with a clear large contribution from the accumulation of small-to-moderate effect common single nucleotide polymorphisms (SNPs) throughout the genome that is associated with raising TG, and probably also those raising LDL cholesterol. On the other hand, rare monogenic variants, such as those causing familial hypercholesterolemia, play a negligible role, if any. Genetic profiling suggests that patients with FCH and hypertriglyceridemia share a strong polygenic basis and show a similar profile of multiple TG-raising common SNPs. SUMMARY : Recent progress in genomics has shown that most if not all of the genetic susceptibility to FCH is polygenic in nature. Future research should include larger cohort studies, with wider ancestral diversity, ancestry-specific polygenic scores, and investigation of epigenetic and lifestyle factors to help further elucidate the causative agents at play in cases where the genetic etiology remains to be defined.
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Affiliation(s)
| | - Robert A Hegele
- Robarts Research Institute
- Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
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Bogdanov DY, Nevzorova VA, Shestopalov EY. Comparative assessment of cardiovascular risk in European and Korean ethnic groups in the Russian population using the SCORE and SCORE2. КАРДИОВАСКУЛЯРНАЯ ТЕРАПИЯ И ПРОФИЛАКТИКА 2022. [DOI: 10.15829/1728-8800-2022-3128] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Aim. To carry out a comparative assessment of cardiovascular risk (CVR) in people aged 40-49 years of European and Korean ethnicity with a single residence area using the Systematic Coronary Risk Evaluation (SCORE) and SCORE2 scales.Material and methods. We examined 397 and 50 apparently healthy individuals of the European (EEG) and Korean (KEG) ethnic groups, respectively, who were evaluated for CVR according to the SCORE and SCORE2 charts.Results. According to the SCORE system, the median CVR in the EEG was 0 [0-0] vs 0 [0-1]% in the KEG (p<0,001), while from a clinical point of view, the groups did not differ from each other. The SCORE2 system demonstrated more significant clinical results as follows: the median risk in EEG individuals was 5 [3-8]%, which corresponds to a high CVR for this age group, and 8 [4-11]% in KEG individuals, which corresponds to a very high CVR (p=0,011). CVR assessment in apparently healthy individuals is decisive in considering the preventive measures. According to the SCORE system, 97,5% and 96% of apparently healthy EEG and KEG individuals, respectively, are classified as low and moderate risk. High and very high risk when using this system was determined in 2,5 and 4% among Europeans and Koreans, respectively. However, using the SCORE2 system, only 10,3% of Europeans were classified as low/ moderate risk, and among ethnic Koreans — 8%. At the same time, the category of high and very high risk was designated, respectively, for 63,7 and 25,9% in the EEG and 40 and 52% in the KEG, respectively. It has been established that according to the SCORE2 system, more than half of Koreans aged 40-49 already have a very high CVR, which significantly distinguishes this group from the European population.Conclusion. The SCORE2 system has a more differentiated approach in determining individual CVR. The SCORE2 assessment of non-high density lipoprotein cholesterol levels makes it more personalized for use in different ethnic populations.
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Affiliation(s)
- D. Yu. Bogdanov
- Pacific State Medical University;
Vladivostok Clinical Hospital № 1
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Zhang M, Zhu Y, Zhu Z. Research advances in the influence of lipid metabolism on cognitive impairment. IBRAIN 2022; 10:83-92. [PMID: 38682015 PMCID: PMC11045198 DOI: 10.1002/ibra.12018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 12/28/2021] [Accepted: 12/29/2021] [Indexed: 05/01/2024]
Abstract
Cognitive impairment (CI) is a mental disorder related to cognition and understanding, which is mainly categorized into mild CI and senile dementia. This disease is associated with multiple factors, such as chronic brain injury, aging, chronic systemic disease, mental state, and psychological factors. However, the pathological mechanism of CI remains unclear; it is usually associated with such underlying diseases as diabetes and hyperlipidemia. It has been demonstrated that abundant lipid metabolism indexes in the human body are closely related to CI, including total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, apolipoprotein, and so forth. As a crucial risk factor for CI, hyperlipidemia is of great significance in the occurrence and development of CI. However, the specific correlation between dyslipidemia and CI is still not fully elucidated. Besides, the efficacy of lipid-lowering drugs in the prophylaxis and treatment of CI has not been clarified. In this study, relevant advances in the influence of lipid metabolism disorders in CI will be reviewed, in an attempt to explore the effect of mediating blood lipid levels on the prophylaxis and treatment of CI, thus providing a reference for its clinical management.
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Affiliation(s)
- Min Zhang
- Department of AnesthesiologyAffiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
- Suining Central HospitalSuiningSichuanChina
| | - Yu‐Hang Zhu
- Department of AnesthesiologyAffiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Zhao‐Qiong Zhu
- Department of AnesthesiologyAffiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
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Abstract
Cardiovascular diseases caused by atherosclerosis do not typically manifest before middle age; however, the disease process begins early in life. Preclinical atherosclerosis can be quantified with imaging methods in healthy populations long before clinical manifestations present. Cohort studies have shown that childhood exposure to risk factors, such as dyslipidaemia, elevated blood pressure and tobacco smoking, are associated with adult preclinical atherosclerotic phenotypes. Importantly, these long-term effects are substantially reduced if the individual becomes free from the risk factor by adulthood. As participants in the cohorts continue to age and clinical end points accrue, the strongest evidence linking exposure to risk factors in early life with cardiovascular outcomes has begun to emerge. Although science has deciphered the natural course of atherosclerosis, discovered its causal risk factors and developed effective means to intervene, we are still faced with an ongoing global pandemic of atherosclerotic diseases. In general, atherosclerosis goes undetected for too long, and preventive measures, if initiated at all, are inadequate and/or come too late. In this Review, we give an overview of the available literature suggesting the importance of initiating the prevention of atherosclerosis in early life and provide a summary of the major paediatric programmes for the prevention of atherosclerotic disease. We also highlight the limitations of current knowledge and indicate areas for future research.
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Jeong IS, Yun HS, Kim MS, Hwang YS. Incidence and Risk Factors of Dyslipidemia after Menopause. J Korean Acad Nurs 2022; 52:214-227. [DOI: 10.4040/jkan.21188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 12/15/2021] [Accepted: 12/24/2021] [Indexed: 11/09/2022]
Affiliation(s)
- Ihn Sook Jeong
- College of Nursing, Pusan National University, Yangsan, Korea
| | - Hae Sun Yun
- Department of Nursing Science, Kyungsung University, Busan, Korea
| | - Myo Sung Kim
- Department of Nursing, Dong-Eui University, Busan, Korea
| | - Youn Sun Hwang
- Department of Nursing Science, Dongseo University, Busan, Korea
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Sánchez-Martínez L, Periago MJ, García-Alonso J, García-Conesa MT, González-Barrio R. A Systematic Review of the Cardiometabolic Benefits of Plant Products Containing Mixed Phenolics and Polyphenols in Postmenopausal Women: Insufficient Evidence for Recommendations to This Specific Population. Nutrients 2021; 13:4276. [PMID: 34959828 PMCID: PMC8707028 DOI: 10.3390/nu13124276] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/25/2021] [Accepted: 11/26/2021] [Indexed: 12/14/2022] Open
Abstract
Menopause is characterized by endocrine and physiological changes and is often accompanied by increased body weight and cholesterol, glucose intolerance, and/or hypertension. These alterations are associated with increased risk for cardiovascular diseases (CVDs) and Type II diabetes mellitus (T2DM) that may be moderate by dietary plant phenolic compounds. In this review, we examine the current evidence of the impact of a variety of plant products (foods, extracts, beverages) rich in a mixture of phenolics and polyphenols on: (i) glucose and insulin levels; (ii) lipid profile; (iii) blood pressure; and (iv) biomarkers of inflammation and oxidative stress in postmenopausal women. We critically evaluate both the results of a range of intervention studies conducted in this specific subpopulation and the level of evidence supporting the benefits of consuming those products after the menopause. Overall, the current available evidence does not allow for specific dietary recommendations of these plant products rich in phenolics and polyphenols in this high-risk subpopulation. Our data show rather variable and small effects of the different products examined on the cardiometabolic biomarkers and further support the need to: (1) improve the quality of the study designs and data reporting; and (2) understand the variability in the response of the different biomarkers and establish clear differences between healthy and cardiometabolic disease levels.
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Affiliation(s)
- Lorena Sánchez-Martínez
- Department of Food Technology, Food Science and Nutrition, Faculty of Veterinary Sciences, Regional Campus of International Excellence ‘Campus Mare Nostrum’, Biomedical Research Institute of Murcia (IMIB-Arrixaca-UMU), University Clinical Hospital ‘Virgen de la Arrixaca’, Universidad de Murcia, Campus de Espinardo, 30100 Murcia, Spain; (L.S.-M.); (M.-J.P.); (J.G.-A.)
| | - María-Jesús Periago
- Department of Food Technology, Food Science and Nutrition, Faculty of Veterinary Sciences, Regional Campus of International Excellence ‘Campus Mare Nostrum’, Biomedical Research Institute of Murcia (IMIB-Arrixaca-UMU), University Clinical Hospital ‘Virgen de la Arrixaca’, Universidad de Murcia, Campus de Espinardo, 30100 Murcia, Spain; (L.S.-M.); (M.-J.P.); (J.G.-A.)
| | - Javier García-Alonso
- Department of Food Technology, Food Science and Nutrition, Faculty of Veterinary Sciences, Regional Campus of International Excellence ‘Campus Mare Nostrum’, Biomedical Research Institute of Murcia (IMIB-Arrixaca-UMU), University Clinical Hospital ‘Virgen de la Arrixaca’, Universidad de Murcia, Campus de Espinardo, 30100 Murcia, Spain; (L.S.-M.); (M.-J.P.); (J.G.-A.)
| | - María-Teresa García-Conesa
- Research Group on Quality, Safety and Bioactivity of Plant Foods, Centro de Edafología y Biología Aplicada del Segura-Consejo Superior de Investigaciones Científicas (CEBAS-CSIC), Campus de Espinardo, P.O. Box 164, 30100 Murcia, Spain
| | - Rocío González-Barrio
- Department of Food Technology, Food Science and Nutrition, Faculty of Veterinary Sciences, Regional Campus of International Excellence ‘Campus Mare Nostrum’, Biomedical Research Institute of Murcia (IMIB-Arrixaca-UMU), University Clinical Hospital ‘Virgen de la Arrixaca’, Universidad de Murcia, Campus de Espinardo, 30100 Murcia, Spain; (L.S.-M.); (M.-J.P.); (J.G.-A.)
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Wilson PWF, Jacobson TA, Martin SS, Jackson EJ, Le NA, Davidson MH, Vesper HW, Frikke-Schmidt R, Ballantyne CM, Remaley AT. Lipid measurements in the management of cardiovascular diseases: Practical recommendations a scientific statement from the national lipid association writing group. J Clin Lipidol 2021; 15:629-648. [PMID: 34802986 DOI: 10.1016/j.jacl.2021.09.046] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 01/31/2023]
Abstract
Lipoprotein measurements are pivotal in the management of patients at risk for atherosclerotic coronary heart disease (CHD) with myocardial infarction and coronary death as the main outcomes, and for atherosclerotic cardiovascular disease (ASCVD), which includes CHD and stroke. Recent developments and changes in guidelines affect optimization of using lipid measures as cardiovascular biomarkers. This scientific statement reviews the pre-analytical, analytical, post-analytical, and clinical aspects of lipoprotein measurements. Highlights include the following: i) It is acceptable to screen with nonfasting lipids. ii) non-high-density lipoprotein HDL-cholesterol (non-HDL-C) is measured reliably in either the fasting or the nonfasting state and can effectively guide ASCVD prevention. iii) low density lipoprotein cholesterol (LDL-C) can be estimated from total cholesterol, high density lipoprotein cholesterol (HDL-C), and triglyceride (TG) measurements. For patients with LDL-C>100 mg/dL and TG ≤150 mg/dL it is reasonable to use the Friedewald formula. However, for those with TG 150-400 mg/dL the Friedewald formula for LDL-C estimation is less accurate. The Martin/Hopkins method is recommended for LDL-C estimation throughout the range of LDL-C levels and up to TG levels of 399 mg/dL. For TG levels ≥400 mg/dL LDL-C estimating equations are currently not recommended and newer methods are being evaluated. iv) When LDL-C or TG screening results are abnormal the clinician should consider obtaining fasting lipids. v) Advanced lipoprotein tests using apolipoprotein B (apoB), LDL Particle Number (LDL-P) or remnant cholesterol may help to guide therapeutic decisions in select patients, but data are limited for patients already on lipid lowering therapy with low LDL-C levels. Better harmonization of advanced lipid measurement methods is needed. Lipid measurements are recommended 4-12 weeks after a change in lipid treatment. Lipid laboratory reports should denote desirable values and specifically identify extremely elevated LDL-C levels (≥190 mg/dL at any age or ≥160 mg/dL in children) as severe hypercholesterolemia. Potentially actionable abnormal lipid test results, including fasting triglycerides (TG) ≥500 mg/dL, should be reported as hypertriglyceridemia. Appropriate use and reporting of lipid tests should improve their utility in the management of persons at high risk for ASCVD events.
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Affiliation(s)
- Peter W F Wilson
- Emory University School of Medicine, Atlanta, GA, United States; Atlanta Veterans Affairs Medical Center, Atlanta, GA, United States.
| | | | - Seth S Martin
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | | | - N-Anh Le
- Atlanta Veterans Affairs Medical Center, Atlanta, GA, United States
| | | | - Hubert W Vesper
- Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Ruth Frikke-Schmidt
- Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | - Alan T Remaley
- National Heart, Lung and Blood Institute, Bethesda, MD, United States
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Banach M, Burchardt P, Chlebus K, Dobrowolski P, Dudek D, Dyrbuś K, Gąsior M, Jankowski P, Jóźwiak J, Kłosiewicz-Latoszek L, Kowalska I, Małecki M, Prejbisz A, Rakowski M, Rysz J, Solnica B, Sitkiewicz D, Sygitowicz G, Sypniewska G, Tomasik T, Windak A, Zozulińska-Ziółkiewicz D, Cybulska B. PoLA/CFPiP/PCS/PSLD/PSD/PSH guidelines on diagnosis and therapy of lipid disorders in Poland 2021. Arch Med Sci 2021; 17:1447-1547. [PMID: 34900032 PMCID: PMC8641518 DOI: 10.5114/aoms/141941] [Citation(s) in RCA: 88] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 11/03/2021] [Indexed: 12/18/2022] Open
Abstract
In Poland there are still nearly 20 million individuals with hypercholesterolaemia, most of them are unaware of their condition; that is also why only ca. 5% of patients with familial hypercholesterolaemia have been diagnosed; that is why other rare cholesterol metabolism disorders are so rarely diagnosed in Poland. Let us hope that these guidelines, being an effect of work of experts representing 6 main scientific societies, as well as the network of PoLA lipid centers being a part of the EAS lipid centers, certification of lipidologists by PoLA, or the growing number of centers for rare diseases, with a network planned by the Ministry of Health, improvements in coordinated care for patients after myocardial infarction (KOS-Zawał), reimbursement of innovative agents, as well as introduction in Poland of an effective primary prevention program, will make improvement in relation to these unmet needs in diagnostics and treatment of lipid disorders possible.
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Affiliation(s)
- Maciej Banach
- Department of Preventive Cardiology and Lipidology, Medical University of Lodz, Lodz, Poland
- Cardiovascular Research Center, University of Zielona Gora, Zielona Gora, Poland
- Department of Cardiology and Congenital Diseases of Adults, Polish Mother’s Memorial Hospital Research Institute (PMMHRI) in Lodz, Lodz, Poland
| | - Paweł Burchardt
- Department of Hypertensiology, Angiology, and Internal Medicine, K. Marcinkowski Poznan University of Medical Science, Poznan, Poland
- Department of Cardiology, Cardiovascular Unit, J. Strus Hospital, Poznan, Poland
| | - Krzysztof Chlebus
- First Department and Chair of Cardiology, Medical University of Gdansk, Gdansk, Poland
| | - Piotr Dobrowolski
- Department of Hypertension, National Institute of Cardiology, Warsaw, Poland
| | - Dariusz Dudek
- Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland
| | - Krzysztof Dyrbuś
- 3 Department of Cardiology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland; Silesian Center for Heart Diseases in Zabrze, Poland
| | - Mariusz Gąsior
- 3 Department of Cardiology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland; Silesian Center for Heart Diseases in Zabrze, Poland
| | - Piotr Jankowski
- Department of Internal Medicine and Geriatric Cardiology, Centre of Postgraduate Medical Education, Warsaw, Poland
- Department of Cardiology and Arterial Hypertension, Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland
| | - Jacek Jóźwiak
- Department of Family Medicine and Public Health, Institute of Medical Sciences, Faculty of Medicine, University of Opole, Opole, Poland
| | | | - Irina Kowalska
- Department of Internal Medicine and Metabolic Diseases, Medical University of Bialystok, Bialystok, Poland
| | - Maciej Małecki
- Department and Chair of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
| | - Aleksander Prejbisz
- Department of Hypertension, National Institute of Cardiology, Warsaw, Poland
| | - Michał Rakowski
- Department of Molecular Biophysics, Institute of Biophysics, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland
| | - Jacek Rysz
- Chair of Nephrology, Arterial Hypertension, and Family Medicine, Medical University of Lodz, Lodz, Poland
| | - Bogdan Solnica
- Chair of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland
| | - Dariusz Sitkiewicz
- Department of Clinical Chemistry and Laboratory Diagnostics, Medical University of Warsaw, Warsaw, Poland
| | - Grażyna Sygitowicz
- Department of Clinical Chemistry and Laboratory Diagnostics, Medical University of Warsaw, Warsaw, Poland
| | - Grażyna Sypniewska
- Department of Laboratory Medicine, L. Rydygier Medical College in Bydgoszcz, Nicolaus Copernicus University in Torun, Poland
| | - Tomasz Tomasik
- Chair of Family Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Adam Windak
- Chair of Family Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Dorota Zozulińska-Ziółkiewicz
- Department and Chair of Internal Medicine and Diabetology, K. Marcinkowski Poznan University of Medical Sciences, Poznan, Poland
| | - Barbara Cybulska
- National Institute of Public Health NIH – National Research Institute, Warsaw, Poland
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Apolipoprotein B and Cardiovascular Disease: Biomarker and Potential Therapeutic Target. Metabolites 2021; 11:metabo11100690. [PMID: 34677405 PMCID: PMC8540246 DOI: 10.3390/metabo11100690] [Citation(s) in RCA: 104] [Impact Index Per Article: 34.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 10/04/2021] [Accepted: 10/06/2021] [Indexed: 12/19/2022] Open
Abstract
Apolipoprotein (apo) B, the critical structural protein of the atherogenic lipoproteins, has two major isoforms: apoB48 and apoB100. ApoB48 is found in chylomicrons and chylomicron remnants with one apoB48 molecule per chylomicron particle. Similarly, a single apoB100 molecule is contained per particle of very-low-density lipoprotein (VLDL), intermediate density lipoprotein, LDL and lipoprotein(a). This unique one apoB per particle ratio makes plasma apoB concentration a direct measure of the number of circulating atherogenic lipoproteins. ApoB levels indicate the atherogenic particle concentration independent of the particle cholesterol content, which is variable. While LDL, the major cholesterol-carrying serum lipoprotein, is the primary therapeutic target for management and prevention of atherosclerotic cardiovascular disease, there is strong evidence that apoB is a more accurate indicator of cardiovascular risk than either total cholesterol or LDL cholesterol. This review examines multiple aspects of apoB structure and function, with a focus on the controversy over use of apoB as a therapeutic target in clinical practice. Ongoing coronary artery disease residual risk, despite lipid-lowering treatment, has left patients and clinicians with unsatisfactory options for monitoring cardiovascular health. At the present time, the substitution of apoB for LDL-C in cardiovascular disease prevention guidelines has been deemed unjustified, but discussions continue.
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82
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Guarneiri LL, Paton CM, Cooper JA. Pecan-Enriched Diets Alter Cholesterol Profiles and Triglycerides in Adults at Risk for Cardiovascular Disease in a Randomized, Controlled Trial. J Nutr 2021; 151:3091-3101. [PMID: 34383903 DOI: 10.1093/jn/nxab248] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/22/2021] [Accepted: 06/30/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Research indicates that tree nuts are cardioprotective, but studies on pecans are limited. OBJECTIVES We examined the impact of daily pecan consumption on blood lipids and glycemia in adults at-risk for cardiovascular disease (CVD). METHODS This was a randomized, controlled trial where 56 adults (BMI ≥28 kg/m2 or hypercholesterolemia) were randomly allocated into a control group (n = 18) or 1 of 2 pecan groups. The ADD group (n = 16) consumed pecans (68 g) as part of a free-living diet. The SUB group (n = 18) substituted the pecans (68 g) for isocaloric foods from their diet. At baseline and 8 wk, a high-fat meal was consumed with 4-h postprandial blood draws to determine changes in blood lipids and glycemia. RESULTS There was a significant reduction from baseline to 8 wk in fasting total cholesterol (TC) (204 ± 8.76 to 195 ± 8.12; 205 ± 8.06 to 195 ± 6.94 mg/dL), LDL cholesterol (143 ± 8.09 to 129 ± 7.71; 144 ± 6.60 to 135 ± 6.16 mg/dL), triglycerides (TGs) (139 ± 12.1 to 125 ± 14.6; 133 ± 10.7 to 120 ± 10.3 mg/dL), TC/HDL cholesterol ratio (3.92 ± 0.206 to 3.58 ± 0.175; 4.08 ± 0.167 to 3.79 ± 0.151), non-HDL cholesterol (151 ± 8.24 to 140 ± 7.95; 155 ± 6.87 to 143 ± 6.00 mg/dL), and apolipoprotein B (99.1 ± 5.96 to 93.0 ± 5.35; 104 ± 3.43 to 97.1 ± 3.11 mg/dL) in the ADD and SUB groups, respectively (P ≤ 0.05 for all), with no changes in control. There was a reduction in postprandial TGs (P ≤ 0.01) in ADD, and a reduction in postprandial glucose (P < 0.05) in SUB. CONCLUSIONS Pecan consumption improves fasting and postprandial blood lipids in CVD at-risk adults. This trial was registered at clinicaltrials.gov as NCT04376632.
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Affiliation(s)
- Liana L Guarneiri
- Department of Nutritional Sciences, University of Georgia, Athens, GA, USA
| | - Chad M Paton
- Department of Nutritional Sciences, University of Georgia, Athens, GA, USA.,Department of Food Science and Technology, University of Georgia, Athens, GA, USA
| | - Jamie A Cooper
- Department of Nutritional Sciences, University of Georgia, Athens, GA, USA
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Pinart M, Jeran S, Boeing H, Stelmach-Mardas M, Standl M, Schulz H, Harris C, von Berg A, Herberth G, Koletzko S, Linseisen J, Breuninger TA, Nöthlings U, Barbaresko J, Benda S, Lachat C, Yang C, Gasparini P, Robino A, Rojo-Martínez G, Castaño L, Guillaume M, Donneau AF, Hoge A, Gillain N, Avraam D, Burton PR, Bouwman J, Pischon T, Nimptsch K. Dietary Macronutrient Composition in Relation to Circulating HDL and Non-HDL Cholesterol: A Federated Individual-Level Analysis of Cross-Sectional Data from Adolescents and Adults in 8 European Studies. J Nutr 2021; 151:2317-2329. [PMID: 33847346 DOI: 10.1093/jn/nxab077] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 02/02/2021] [Accepted: 03/01/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Associations between increased dietary fat and decreased carbohydrate intake with circulating HDL and non-HDL cholesterol have not been conclusively determined. OBJECTIVE We assessed these relations in 8 European observational human studies participating in the European Nutritional Phenotype Assessment and Data Sharing Initiative (ENPADASI) using harmonized data. METHODS Dietary macronutrient intake was recorded using study-specific dietary assessment tools. Main outcome measures were lipoprotein cholesterol concentrations: HDL cholesterol (mg/dL) and non-HDL cholesterol (mg/dL). A cross-sectional analysis on 5919 participants (54% female) aged 13-80 y was undertaken using the statistical platform DataSHIELD that allows remote/federated nondisclosive analysis of individual-level data. Generalized linear models (GLM) were fitted to assess associations between replacing 5% of energy from carbohydrates with equivalent energy from total fats, SFAs, MUFAs, or PUFAs with circulating HDL cholesterol and non-HDL cholesterol. GLM were adjusted for study source, age, sex, smoking status, alcohol intake and BMI. RESULTS The replacement of 5% of energy from carbohydrates with total fats or MUFAs was statistically significantly associated with 0.67 mg/dL (95% CI: 0.40, 0.94) or 0.99 mg/dL (95% CI: 0.37, 1.60) higher HDL cholesterol, respectively, but not with non-HDL cholesterol concentrations. The replacement of 5% of energy from carbohydrates with SFAs or PUFAs was not associated with HDL cholesterol, but SFAs were statistically significantly associated with 1.94 mg/dL (95% CI: 0.08, 3.79) higher non-HDL cholesterol, and PUFAs with -3.91 mg/dL (95% CI: -6.98, -0.84) lower non-HDL cholesterol concentrations. A statistically significant interaction by sex for the association of replacing carbohydrates with MUFAs and non-HDL cholesterol was observed, showing a statistically significant inverse association in males and no statistically significant association in females. We observed no statistically significant interaction by age. CONCLUSIONS The replacement of dietary carbohydrates with fats had favorable effects on lipoprotein cholesterol concentrations in European adolescents and adults when fats were consumed as MUFAs or PUFAs but not as SFAs.
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Affiliation(s)
- Mariona Pinart
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Stephanie Jeran
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Marta Stelmach-Mardas
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics, Poznan University of Medical Sciences, Poznan, Poland
| | - Marie Standl
- Helmholtz Centre Munich-German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg/Munich, Germany
| | - Holger Schulz
- Helmholtz Centre Munich-German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg/Munich, Germany
| | - Carla Harris
- Helmholtz Centre Munich-German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg/Munich, Germany.,Division of Metabolic and Nutritional Medicine, LMU - Ludwig Maximilian University Munich, Dr. von Hauner Children's Hospital, LMU University Hospitals, Munich, Germany
| | - Andrea von Berg
- Department of Pediatrics, Research Institute, Marien-Hospital Wesel, Wesel, Germany
| | - Gunda Herberth
- Department of Environmental Immunology, Helmholtz Centre for Environmental Research-Zentrum für Umweltforschung (UFZ), Leipzig, Germany
| | - Sybille Koletzko
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU - Ludwig Maximilian University Hospital, University of Munich, Munich, Germany.,Department of Pediatrics, Gastroenterology and Nutrition, School of Medicine Collegium Medicum University of Warmia and Mazury, Olsztyn, Poland
| | - Jakob Linseisen
- Helmholtz Centre Munich, Clinical Epidemiology, Neuherberg/Munich, Germany.,Ludwig Maximilians University (LMU) Munich, Medical Faculty, Chair of Epidemiology at University Center for Health Sciences at the Klinikum Augsburg (UNIKA-T), Ausburg, Germany
| | | | - Ute Nöthlings
- Department of Nutrition and Food Sciences, University of Bonn, Bonn, Germany
| | - Janett Barbaresko
- Department of Nutrition and Food Sciences, University of Bonn, Bonn, Germany.,Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Stefan Benda
- Department of Nutrition and Food Sciences, University of Bonn, Bonn, Germany
| | - Carl Lachat
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
| | - Chen Yang
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
| | - Paolo Gasparini
- Department of Medical Sciences, University of Trieste, Trieste, Italy.,Institute for Maternal and Child Health-Mother and Child Referral Hospital and Research Institute (IRCCS) "Burlo Garofolo," Trieste, Italy
| | - Antonietta Robino
- Institute for Maternal and Child Health-Mother and Child Referral Hospital and Research Institute (IRCCS) "Burlo Garofolo," Trieste, Italy
| | - Gemma Rojo-Martínez
- Spanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Clinical Management Unit (CMU) Endocrinology and Nutrition, Regional University Hospital of Malaga, Institute of Biomedical Research in Malaga (IBIMA), Málaga, Spain
| | - Luís Castaño
- Spanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Rare Diseases Networking Biomedical Research Centre (CIBERER), BioCruces-University Hospital Cruces-The University of the Basque Country (Basque: Euskal Herriko Unibertsitatea/Spanish: Universidad del País Vasco [UPV/EHU]), Barakaldo, Spain
| | | | | | - Axelle Hoge
- Department of Public Health, University of Liège, Liège, Belgium
| | - Nicolas Gillain
- Department of Public Health, University of Liège, Liège, Belgium
| | - Demetris Avraam
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Paul R Burton
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Jildau Bouwman
- Research group Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research, Zeist, The Netherlands
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.,Charité University Medicine Berlin, Berlin, Germany.,Max Delbrück Center for Molecular Medicine (MDC)/Berlin Institute of Health (BIH) Biobank, Berlin, Germany.,German Centre for Cardiovascular Research (DZHK), Berlin, Germany
| | - Katharina Nimptsch
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
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84
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Cheng Q, Liu XC, Chen CL, Huang YQ, Feng YQ, Chen JY. The U-Shaped Association of Non-High-Density Lipoprotein Cholesterol Levels With All-Cause and Cardiovascular Mortality Among Patients With Hypertension. Front Cardiovasc Med 2021; 8:707701. [PMID: 34336961 PMCID: PMC8316599 DOI: 10.3389/fcvm.2021.707701] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 06/15/2021] [Indexed: 01/06/2023] Open
Abstract
Background: Non-high-density lipoprotein cholesterol (non-HDL-C) is a valuable indicator in routine blood lipid tests, but the associations of non-HDL-C with mortality in hypertensive population still remain uncertain. Methods: In the National Health and Nutrition Examination Surveys from 1999 to 2014, participants having hypertension were included and grouped by non-HDL-C levels (<130, 130–159, 160–189, 190–219, and ≥220 mg/dl). Multivariate Cox regression was conducted for calculation of hazard ratios (HR) and 95% confidence interval (CI). To reveal the relationship between non-HDL-C and mortality, Kaplan–Meier survival curves, restricted cubic spline, linear regression, and subgroup analysis were also applied. Results: A total of 12,169 participants (47.52% males, mean age 57.27 ± 15.79 years) were included. During average follow-up of 92.5 months, 1,946 (15.99%) all-cause deaths and 422 (3.47%) cardiovascular deaths occurred. After adjusting for confounders, the association of non-HDL-C with mortality was detected as U-shaped. Threshold values were observed at 158 mg/dl for all-cause mortality and 190 mg/dl as to cardiovascular mortality. Below the threshold, every 10 mg/dl increment in non-HDL-C attributed to relatively low all-cause mortality significantly (HR = 0.94, 95% CI: 0.92–0.96). Above the threshold, non-HDL-C has significant positive associations with both all-cause (HR = 1.03, 95% CI: 1.01–1.05) and cardiovascular mortality (HR = 1.09, 95% CI: 1.05–1.14). For subgroups analysis, similar results were found among participants age <65 years old, non-white population, those were not taking lipid-lowering drugs, and subjects with body mass index (BMI) ≥25 kg/m2. Conclusion: The U-shaped association was detected between non-HDL-C and mortality among hypertensive population.
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Affiliation(s)
- Qi Cheng
- School of Medicine, South China University of Technology, Guangzhou, China.,Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiao-Cong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chao-Lei Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yu-Qing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ying-Qing Feng
- School of Medicine, South China University of Technology, Guangzhou, China.,Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ji-Yan Chen
- School of Medicine, South China University of Technology, Guangzhou, China.,Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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85
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Evaluation of Lipoprotein Profile and Residual Risk Three Years After Bariatric Surgery. Obes Surg 2021; 31:4033-4044. [PMID: 34245426 DOI: 10.1007/s11695-021-05543-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 06/11/2021] [Accepted: 06/16/2021] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Obesity is a chronic disease associated with other comorbidities, including atherogenic dyslipidemia (AD). Bariatric surgery (BS) has shown to reduce cardiovascular risk (CVR) by achieving a significant weight reduction and improving the lipid profile. Different surgical techniques may have a different effect on the lipoprotein profile. PURPOSE To evaluate the lipid profile at 3 years after BS according to the surgical technique used and to determine which variables predict variation in the lipid profile at 3 years after BS. METHODS Retrospective observational study of 206 patients who underwent BS between 2010 and 2019. We analyzed the variation of lipid parameters in the 3 years of follow-up according to the surgical technique, including a group analysis of patients according to whether they had dyslipidemia and whether they were treated or untreated and determined which variables predict variation in the lipid profile at 3 years after BS. RESULTS There was a significant increase in high-density lipoprotein cholesterol (HDL-c) with sleeve gastrectomy (SG) and a significant decrease in total cholesterol (TC), LDL-cholesterol (LDL-c), non-HDL, and LDL/non-HDL with biliopancreatic diversion (BPD). Variables predicting lipid profile variation were surgical technique and pre-surgery lipoprotein level. CONCLUSIONS Malabsorptive techniques achieve a greater decrease in TC and LDL-c throughout follow-up and could also improve residual cardiovascular risk (non-HDL and LDL/non-HDL). The type of surgical technique and the presurgery lipid profile predict variation after 3 years of BS.
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86
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Albuquerque LDS, Damasceno NRT, Maia FN, Carvalho BMD, Maia CSC, D'Almeida JAC, Melo MLPD. Cardiovascular risk estimated in individuals with multiple sclerosis: A case-control study. Mult Scler Relat Disord 2021; 54:103133. [PMID: 34252839 DOI: 10.1016/j.msard.2021.103133] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 06/01/2021] [Accepted: 06/29/2021] [Indexed: 12/01/2022]
Abstract
BACKGROUND Patients with multiple sclerosis (MS) had a 1.5-fold increase in cardiovascular diseases (CVD) mortality, compared with those without MS. Therefore, the aim of this study was to assess the CVD risk in MS patients by multiple cardiometabolic indexes and to investigate associated factors. METHODS The MS group included 57 patients matched for age and sex to 57 healthy controls. They were evaluated for physical activity, smoking, anthropometric indices, blood pressure, and plasma biomarkers. Framingham risk score (FRS) and multiple cardiovascular risk indexes were calculated. Clinical course of disease, age at onset, disease duration, disease-modifying therapy, relapse rate, EDSS, physical and functional impairment were investigated. RESULTS The mean age was 34.6 years old. The majority (89.5%) in the MS group had a RRMS clinical course and a mild level of disability (EDSS=1.0). WC (p = 0.022) and FM% (p = 0.007) were different between the MS and control groups. The FRS was higher in the MS group (10% versus 0%) and this was related with high prevalence of dyslipidemia (43.8% versus 36.8%). The atherogenic index of plasma (AIP) (0.013) and Castelli risk indexes I (CRI-I) (p = 0.017) and II (CRI-II) (p = 0.008) and non-HDL-C (p = 0.044) were higher in the MS group. CONCLUSION MS patients, with controlled disease course, have a higher cardiovascular risk than comparable healthy individuals. We emphasize that the use of FRS, and the monitoring of CRI-I and II, as well as AIP, are important lipid markers to manage CVD risk in individuals with MS.
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Affiliation(s)
| | - Nágila Raquel Teixeira Damasceno
- Postgraduate Program in Applied Human Nutrition (PRONUT), Department of Nutrition, School of Public Health, University of São Paulo (USP), São Paulo, Brazil
| | - Fernanda Nunes Maia
- Postgraduate Program in Nutrition and Health, Ceara State University (UECE), Fortaleza, Brazil
| | | | - Carla Soraya Costa Maia
- Postgraduate Program in Nutrition and Health, Ceara State University (UECE), Fortaleza, Brazil
| | - José Artur Costa D'Almeida
- Multiple Sclerosis Interdisciplinary Center, Neurology Department, Fortaleza General Hospital (HGF-SUS), Fortaleza, Brazil
| | - Maria Luísa Pereira de Melo
- Postgraduate Program in Nutrition and Health, Ceara State University (UECE), Fortaleza, Brazil; Postgraduate Program in Applied Human Nutrition (PRONUT), Department of Nutrition, School of Public Health, University of São Paulo (USP), São Paulo, Brazil; Multiple Sclerosis Interdisciplinary Center, Neurology Department, Fortaleza General Hospital (HGF-SUS), Fortaleza, Brazil.
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87
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Viktorinova A, Malickova D, Svitekova K, Choudhury S, Krizko M. Low-density lipoprotein cholesterol-to-apolipoprotein B ratio as a potential indicator of LDL particle size and plasma atherogenicity in type 2 diabetes. Diabetes Res Clin Pract 2021; 176:108858. [PMID: 34015391 DOI: 10.1016/j.diabres.2021.108858] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 05/03/2021] [Accepted: 05/07/2021] [Indexed: 10/21/2022]
Abstract
AIMS Atherogenic dyslipidemia, associated with small, dense low-density lipoprotein-cholesterol (S-LDL) particles and impaired metabolism of triglycerides (TGs) and high-density lipoprotein-cholesterol (HDL-c), leads to the development of atherosclerosis-related complications of type 2 diabetes mellitus. Based on the hypothesis that an LDL-c-to-apolipoprotein B ratio (LDL/ApoB) < 1.2 may predict the prevalence of S-LDL, this study aimed to evaluate the LDL/ApoB ratio in patients with type 2 diabetes with moderately elevated TG levels. METHODS The study population consisted of 121 outpatients with type 2 diabetes (S-LDL group, LDL/ApoB < 1.2, n = 79; L-LDL group, LDL/ApoB > 1.2, n = 42) and 58 healthy subjects. The LDL/ApoB ratio was calculated from the measured LDL-c and ApoB levels in participants with TG levels lower than 4.5 mmol/L. Since TGs and HDL-c are included in the atherogenic index of plasma (AIP), we evaluated the relationship between LDL/ApoB and the AIP. RESULTS Higher levels of AIP, TG (both P < 0.0001), and lipid hydroperoxides (LOOH) (P < 0.001) and lower levels of HDL-c, total cholesterol, and non-HDL-c (P < 0.001, <0.01, <0.05, respectively) were found in the S-LDL group compared to the L-LDL group. There were significant relationships between the LDL/ApoB ratio and the AIP, TG (both P < 0.0001), LOOH (P < 0.0005), and HDL-c levels (P < 0.05) in the S-LDL group. CONCLUSIONS The prevalence of S-LDL particles (65%) and the close association of LDL/ApoB with the AIP suggest that this ratio may be a potential indicator of increased cardiovascular risk in patients with type 2 diabetes.
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Affiliation(s)
- Alena Viktorinova
- Institute of Medical Chemistry, Biochemistry and Clinical Biochemistry, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
| | - Danica Malickova
- University Hospital - St. Michael's Hospital, Bratislava, Slovakia
| | - Klara Svitekova
- National Blood Transfusion Service of Slovak Republic, Bratislava, Slovakia
| | - Sawkat Choudhury
- National Blood Transfusion Service of Slovak Republic, Bratislava, Slovakia
| | - Marian Krizko
- University Hospital - St. Michael's Hospital, Bratislava, Slovakia
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Liao JX, Chen YW, Shih MK, Tain YL, Yeh YT, Chiu MH, Chang SKC, Hou CY. Resveratrol Butyrate Esters Inhibit BPA-Induced Liver Damage in Male Offspring Rats by Modulating Antioxidant Capacity and Gut Microbiota. Int J Mol Sci 2021; 22:5273. [PMID: 34067838 PMCID: PMC8156118 DOI: 10.3390/ijms22105273] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 05/08/2021] [Accepted: 05/14/2021] [Indexed: 12/11/2022] Open
Abstract
Resveratrol can affect the physiology or biochemistry of offspring in the maternal-fetal animal model. However, it exhibits low bioavailability in humans and animals. Fifteen-week SD pregnant female rats were orally administered bisphenol A (BPA) and/or resveratrol butyrate ester (RBE), and the male offspring rats (n = 4-8 per group) were evaluated. The results show that RBE treatment (BPA + R30) compared with the BPA group can reduce the damage caused by BPA (p < 0.05). RBE enhanced the expression of selected genes and induced extramedullary hematopoiesis and mononuclear cell infiltration. RBE increased the abundance of S24-7 and Adlercreutzia in the intestines of the male offspring rats, as well as the concentrations of short-chain fatty acids (SCFAs) in the feces. RBE also increased the antioxidant capacity of the liver by inducing Nrf2, promoting the expression of HO-1, SOD, and CAT. It also increased the concentration of intestinal SCFAs, enhancing the barrier formed by intestinal cells, thereby preventing BPA-induced metabolic disruption in the male offspring rats, and reduced liver inflammation. This study identified a potential mechanism underlying the protective effects of RBE against the liver damage caused by BPA exposure during the peri-pregnancy period, and the influence of the gut microbiota on the gut-liver axis in the offspring.
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Affiliation(s)
- Jin-Xian Liao
- Department of Seafood Science, National Kaohsiung University of Science and Technology, Kaohsiung 811, Taiwan;
| | - Yu-Wei Chen
- Department of Medicine, Chang Gung University, Linkow 333, Taiwan;
| | - Ming-Kuei Shih
- Graduate Institute of Food Culture and Innovation, National Kaohsiung University of Hospitality and Tourism, 812301 No.1, Songhe Rd., Xiaogang Dist., Kaohsiung 833, Taiwan;
| | - You-Lin Tain
- Department of Pediatrics, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan;
- Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan
| | - Yao-Tsung Yeh
- Aging and Disease Prevention Research Center, Fooyin University, Kaohsiung 83102, Taiwan; (Y.-T.Y.); (M.-H.C.)
- Biomed Analysis Center, Fooyin University Hospital, Pingtung 92849, Taiwan
| | - Min-Hsi Chiu
- Aging and Disease Prevention Research Center, Fooyin University, Kaohsiung 83102, Taiwan; (Y.-T.Y.); (M.-H.C.)
- Biomed Analysis Center, Fooyin University Hospital, Pingtung 92849, Taiwan
| | - Sam K. C. Chang
- Experimental Seafood Processing Laboratory, Costal Research and Extension Center, Mississippi State University, Pascagoula, MS 39567, USA;
- Department of Food Science, Nutrition and Health Promotion, Mississippi State University, Starkville, MS 39762, USA
| | - Chih-Yao Hou
- Department of Seafood Science, National Kaohsiung University of Science and Technology, Kaohsiung 811, Taiwan;
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89
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Griffin BA, Lovegrove JA. Evidence for Beneficial Associations between Isoenergetic Macronutrient Exchanges and Serum non-HDL Cholesterol, a Measure of All Circulating Atherogenic, apoB-Containing Lipoproteins. J Nutr 2021; 151:2096-2098. [PMID: 33979836 PMCID: PMC8349123 DOI: 10.1093/jn/nxab127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 04/07/2021] [Accepted: 04/09/2021] [Indexed: 11/14/2022] Open
Affiliation(s)
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading, Berkshire, United Kingdom,Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Sciences, University of Reading, Reading, Berkshire, United Kingdom
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90
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Bergström H, Ekström L, Warnqvist A, Bergman P, Björkhem-Bergman L. Variations in biomarkers of dyslipidemia and dysbiosis during the menstrual cycle: a pilot study in healthy volunteers. BMC WOMENS HEALTH 2021; 21:166. [PMID: 33879161 PMCID: PMC8058971 DOI: 10.1186/s12905-021-01306-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 04/14/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Dyslipidemia in metabolic syndrome may introduce an underestimation of the risk for cardiovascular disease (CVD) using Low-Density Lipoprotein-Cholesterol (LDL-C) as a surrogate marker. Recently, non-High-Density Lipoprotein-Cholesterol (non-HDL-C), Apolipoprotein B (ApoB) and remnant-Cholesterol (remnant-C) have been suggested as better biomarkers for dyslipidemia. In addition, the microbial metabolites trimethylamine-N-oxide (TMAO), betaine and choline have been associated with CVD and suggested as markers for dysbiosis. There is a lack of knowledge on potential alterations in these biomarkers during the menstrual cycle. The aim of this single center, prospective non-interventional study, was to investigate variations in biomarkers of dyslipidemia and dysbiosis in healthy volunteers during the menstrual cycle. METHOD Serum samples were collected from 17 healthy, regularly menstruating women during two menstrual cycles, including the follicular, ovulatory and luteal phases. Levels of lipoproteins, lipoprotein ratios and microbial metabolites were analyzed in a total of 90 samples (30 complete menstrual cycles). RESULTS ApoB, ApoB/HDL and non-HDL-C/HDL ratios were significantly higher in the follicular phase compared to the ovulatory and luteal phases (p < 0.05). Remnant-C were higher during the luteal phase (p < 0.05). TMAO did not vary during the different phases and did not correlate with estrogen levels. CONCLUSION Our data support that biomarkers for dyslipidemia vary during the menstrual cycle. Thus, to avoid an underestimation of cardiovascular risk, sampling during the follicular phase, when levels of pro-atherogenic lipids are higher, may be considered.
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Affiliation(s)
- Helena Bergström
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institute, Blickagången 16, Neo floor 7, 141 83, Huddinge, Sweden.
| | - Lena Ekström
- Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institutet, and Karolinska University Laboratory, Karolinska University Hospital, 141 83, Huddinge, Sweden
| | - Anna Warnqvist
- Division of Biostatistics, Department of Environmental Medicine, Karolinska Institutet, Nobels väg 13, 171 77, Stockholm, Sweden
| | - Peter Bergman
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Alfred Nobels Allé 8, 141 52, Huddinge, Sweden.,Department of Infectious Diseases, Immunodeficiency Unit, Karolinska University Hospital, 141 83, Huddinge, Sweden
| | - Linda Björkhem-Bergman
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institute, Blickagången 16, Neo floor 7, 141 83, Huddinge, Sweden.,Stockholms Sjukhem, Palliative Medicine, Mariebergsgatan 22, 112 19, Stockholm, Sweden
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91
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Bays HE, Taub PR, Epstein E, Michos ED, Ferraro RA, Bailey AL, Kelli HM, Ferdinand KC, Echols MR, Weintraub H, Bostrom J, Johnson HM, Hoppe KK, Shapiro MD, German CA, Virani SS, Hussain A, Ballantyne CM, Agha AM, Toth PP. Ten things to know about ten cardiovascular disease risk factors. Am J Prev Cardiol 2021; 5:100149. [PMID: 34327491 PMCID: PMC8315386 DOI: 10.1016/j.ajpc.2021.100149] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Revised: 01/11/2021] [Accepted: 01/15/2021] [Indexed: 12/12/2022] Open
Abstract
Given rapid advancements in medical science, it is often challenging for the busy clinician to remain up-to-date on the fundamental and multifaceted aspects of preventive cardiology and maintain awareness of the latest guidelines applicable to cardiovascular disease (CVD) risk factors. The "American Society for Preventive Cardiology (ASPC) Top Ten CVD Risk Factors 2021 Update" is a summary document (updated yearly) regarding CVD risk factors. This "ASPC Top Ten CVD Risk Factors 2021 Update" summary document reflects the perspective of the section authors regarding ten things to know about ten sentinel CVD risk factors. It also includes quick access to sentinel references (applicable guidelines and select reviews) for each CVD risk factor section. The ten CVD risk factors include unhealthful nutrition, physical inactivity, dyslipidemia, hyperglycemia, high blood pressure, obesity, considerations of select populations (older age, race/ethnicity, and sex differences), thrombosis/smoking, kidney dysfunction and genetics/familial hypercholesterolemia. For the individual patient, other CVD risk factors may be relevant, beyond the CVD risk factors discussed here. However, it is the intent of the "ASPC Top Ten CVD Risk Factors 2021 Update" to provide a succinct overview of things to know about ten common CVD risk factors applicable to preventive cardiology.
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Affiliation(s)
- Harold E. Bays
- Medical Director / President, Louisville Metabolic and Atherosclerosis Research Center, Louisville, KY USA
| | - Pam R. Taub
- University of California San Diego Health, San Diego, CA USA
| | | | - Erin D. Michos
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Richard A. Ferraro
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alison L. Bailey
- Chief, Cardiology, Centennial Heart at Parkridge, Chattanooga, TN USA
| | - Heval M. Kelli
- Northside Hospital Cardiovascular Institute, Lawrenceville, GA USA
| | - Keith C. Ferdinand
- Professor of Medicine, John W. Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA USA
| | - Melvin R. Echols
- Assistant Professor of Medicine, Department of Medicine, Cardiology Division, Morehouse School of Medicine, New Orleans, LA USA
| | - Howard Weintraub
- NYU Grossman School of Medicine, NYU Center for the Prevention of Cardiovascular Disease, New York, NY USA
| | - John Bostrom
- NYU Grossman School of Medicine, NYU Center for the Prevention of Cardiovascular Disease, New York, NY USA
| | - Heather M. Johnson
- Christine E. Lynn Women's Health & Wellness Institute, Boca Raton Regional Hospital/Baptist Health South Florida, Clinical Affiliate Associate Professor, Florida Atlantic University, Boca Raton, FL USA
| | - Kara K. Hoppe
- Assistant Professor, Division of Maternal Fetal Medicine, Department of Obstetrics & Gynecology, University of Wisconsin School of Medicine and Public Health, Madison, WI USA
| | - Michael D. Shapiro
- Center for Prevention of Cardiovascular Disease, Section of Cardiovascular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC USA
| | - Charles A. German
- Section of Cardiovascular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC USA
| | - Salim S. Virani
- Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center and Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX USA
| | - Aliza Hussain
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX USA
| | - Christie M. Ballantyne
- Department of Medicine and Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, Houston, TX USA
| | - Ali M. Agha
- Department of Medicine and Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, Houston, TX USA
| | - Peter P. Toth
- CGH Medical Center, Sterling, IL USA
- Cicarrone center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD USA
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92
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Pacheco-Romero J, Acosta O, Huerta D, Cabrera S, Vargas M, Mascaro P, Huamán M, Sandoval J, López R, Mateus J, Gil E, Guevara E, Butrica N, Catari D, Bellido D, Custodio G, Naranjo A. Genetic markers for preeclampsia in Peruvian women. Colomb Med (Cali) 2021; 52:e2014437. [PMID: 33911318 PMCID: PMC8054708 DOI: 10.25100/cm.v52i1.4437] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 10/13/2020] [Accepted: 01/28/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Preeclampsia is a multiorgan disorder associated with maternal and perinatal morbi-mortality. In Peru, incidence is 10% and accounts for 22% of maternal deaths. Genome and genetic epidemiological studies have found an association between preeclampsia and genetic polymorphisms. OBJECTIVE To determine the association of the vascular endothelial growth factor (VEGF) +936 C/T and +405 G/C, interleukine-6 (IL-6) -174 G/C, IL-1β-511 C/T, Apo A-1-75 G/A, Apo B-100 2488 C/T (Xbal) polymorphisms with preeclampsia in pregnant Peruvian women. METHODS Were included preeclamptic and healthy (control) pregnant women. Maternal blood samples were subjected to DNA extraction, and molecular genetic analysis was conducted using the PCR-RFLP technique and following a specific protocol for each gene. Allele and genotypic frequencies in the cases and controls were compared. RESULTS No association was found between the VEGF+936C/T and VEGF+405 polymorphisms and preeclampsia. The frequencies of the GG genotypes and the G allele of the -174 G/C polymorphism in the IL6 gene in preeclamptic and controls showed significant differences, with higher frequencies in cases. For the -511 C/T polymorphism of the IL-1β gene, no significant differences were found in the frequencies of TT genotypes compared with CT+CC. The genotypes and alleles of the Apo-A1-75 G/A and Apo-B100 Xbal variants showed no significant differences between cases and controls. CONCLUSION No association was found between the studied genetic markers and preeclampsia. However, in the -174G/C polymorphism of the IL-6 gene, significant differences were found mainly in the GG genotype and G allele.
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Affiliation(s)
- José Pacheco-Romero
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - Oscar Acosta
- Universidad Nacional Mayor de San Marcos, Faculty of Pharmacy and Biochemistry, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of Pharmacy and BiochemistryLimaPeru
| | - Doris Huerta
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - Santiago Cabrera
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - Marlene Vargas
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - Pedro Mascaro
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - Moisés Huamán
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - José Sandoval
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - Rudy López
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - Julio Mateus
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
- Atrium Health, Charlotte, North Carolina, USA.Atrium HealthCharlotteNorth CarolinaUSA
| | - Enrique Gil
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - Enrique Guevara
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - Nitza Butrica
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - Diana Catari
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - David Bellido
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - Gina Custodio
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
| | - Andrea Naranjo
- Universidad Nacional Mayor de San Marcos, Faculty of Medicine. Medicina y Genética Molecular Materno Perinatal-MEGEMAPE Research Group, Lima, Peru.Universidad Nacional Mayor de San MarcosUniversidad Nacional Mayor de San MarcosFaculty of MedicineMedicina y Genética Molecular Materno Perinatal-MEGEMAPE Research GroupLimaPeru
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Antiobesity Effect of Novel Probiotic Strains in a Mouse Model of High-Fat Diet-Induced Obesity. Probiotics Antimicrob Proteins 2021; 13:1054-1067. [PMID: 33569747 DOI: 10.1007/s12602-021-09752-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/29/2021] [Indexed: 12/11/2022]
Abstract
Obesity is one of the major causes of the development of metabolic diseases, particularly cardiovascular diseases and type-2 diabetes mellitus. Increased lipid accumulation and abnormal adipocyte growth, which is an increase in cell numbers and differentiation, have been documented as major pathological characteristics of obesity. Thus, the inhibition of adipogenic differentiation prevents and suppresses obesity. Recently, specific probiotic strains have been known to regulate lipid metabolism in vitro and/or in vivo. Previously, we demonstrated that Lactobacillus johnsonni 3121 and Lactobacillus rhamnosus 86 could act as novel probiotic strains and reduce cholesterol levels. Moreover, both strains significantly reduced lipid accumulation and inhibited adipocyte differentiation by downregulating the adipogenic transcription factor in 3T3-L1 adipocytes. Therefore, L. johnsonni 3121 and L. rhamnosus 86 were selected for in vivo evaluation of their anti-obesity effects using a high-fat diet-induced obese mouse model. Daily oral administration of L. johnsonni 3121 and L. rhamnosus 86 for 12 weeks significantly improved serum lipid profile and downregulated the expression of genes related to adipogenesis and lipogenesis in epididymal white adipose tissue of high-fat diet fed obese mice (p < 0.05). Fecal analysis also suggested that the two probiotic strains could normalize the altered obesity-related gut microbiota in high-fat diet-fed obese mice. These results collectively demonstrate that oral administration of L. johnsonni 3121 and L. rhamnosus 86 could prevent obesity, thereby improving metabolic health.
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94
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Omega-3 polyunsaturated fatty acids: anti-inflammatory and anti-hypertriglyceridemia mechanisms in cardiovascular disease. Mol Cell Biochem 2020; 476:993-1003. [PMID: 33179122 DOI: 10.1007/s11010-020-03965-7] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 10/23/2020] [Indexed: 12/13/2022]
Abstract
Cardiovascular disease (CVD) is the world's most recognized and notorious cause of death. It is known that increased triglyceride-rich lipoproteins (TRLs) and remnants of triglyceride-rich lipoproteins (RLP) are the major risk factor for CVD. Furthermore, hypertriglyceridemia commonly leads to a reduction in HDL and an increase in atherogenic small dense low-density lipoprotein (sdLDL or LDL-III) levels. Thus, the evidence shows that Ω-3 fatty acids (eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) have a beneficial effect on CVD through reprogramming of TRL metabolism, reducing inflammatory mediators (cytokines and leukotrienes), and modulation of cell adhesion molecules. Therefore, the purpose of this review is to provide the molecular mechanism related to the beneficial effect of Ω-3 PUFA on the lowering of plasma TAG levels and other atherogenic lipoproteins. Taking this into account, this study also provides the TRL lowering and anti-inflammatory mechanism of Ω-3 PUFA metabolites such as RvE1 and RvD2 as a cardioprotective function.
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95
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Chihaoui-Mamlouk A, Bouani H, Ouergui N, Zarrouk F, Bouassida A, Dardouri W. Effet de l’entraînement intermittent sur le rapport aporprotéineB/apoprotéineA–I, chez les enfants obèses atteints de syndrome métabolique. Sci Sports 2020. [DOI: 10.1016/j.scispo.2019.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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96
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Zhao L, Xu T, Li Y, Luan Y, Lv Q, Fu G, Zhang W. Variability in blood lipids affects the neutrophil to lymphocyte ratio in patients undergoing elective percutaneous coronary intervention: a retrospective study. Lipids Health Dis 2020; 19:124. [PMID: 32493321 PMCID: PMC7271440 DOI: 10.1186/s12944-020-01304-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 05/28/2020] [Indexed: 02/06/2023] Open
Abstract
Background Atherosclerosis is associated with chronic inflammation and lipid metabolism. The neutrophil to lymphocyte ratio (NLR) as an indicator of inflammation has been confirmed to be associated with cardiovascular disease prognosis. However, few studies have explored the effects of blood lipid variability on NLR. The aim of this study was to explore the relationship between variability in blood lipid levels and NLR. Methods The association between variability in blood lipids and NLR was assessed with both univariate and multivariate linear regression. Multivariate linear regression was also performed for a subgroup analysis. Results The variability of high-density lipoprotein cholesterol (HDL-C) (regression coefficients [β] 4.008, standard error (SE) 0.503, P-value< 0.001) and low-density lipoprotein cholesterol (LDL-C) ([β] 0.626, SE 0.164, P-value< 0.001) were risk factors for the NLR value, although baseline LDL-C and HDL-C were not risk factors for NLR values. Variability of HDL-C ([β] 4.328, SE 0.578, P-value< 0.001) and LDL-C ([β] 0.660, SE 0.183, P-value< 0.001) were risk factors for NLR variability. Subgroup analysis demonstrated that the relationship between variability of LDL-C and NLR was consistent with the trend of the total sample for those with diabetes mellitus, controlled blood lipid, statins, atorvastatin. The relationship between the variability of HDL-C and NLR was consistent with the trend of the total sample in all subgroups. Conclusion The variability of HDL-C and LDL-C are risk factors for the value and variability of NLR, while the relationship between variability of HDL-C and NLR is more stable than the variability of LDL-C in the subgroup analysis, which provides a new perspective for controlling inflammation in patients undergoing PCI.
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Affiliation(s)
- Liding Zhao
- Department of Cardiovascular Diseases, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, No 3 East of Qinchun Road, Hangzhou, Zhejiang, 310000, People's Republic of China.,Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Tian Xu
- Department of Cardiovascular Diseases, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, No 3 East of Qinchun Road, Hangzhou, Zhejiang, 310000, People's Republic of China.,Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Ya Li
- Department of Cardiovascular Diseases, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, No 3 East of Qinchun Road, Hangzhou, Zhejiang, 310000, People's Republic of China.,Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Yi Luan
- Department of Cardiovascular Diseases, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, No 3 East of Qinchun Road, Hangzhou, Zhejiang, 310000, People's Republic of China.,Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Qingbo Lv
- Department of Cardiovascular Diseases, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, No 3 East of Qinchun Road, Hangzhou, Zhejiang, 310000, People's Republic of China.,Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Guosheng Fu
- Department of Cardiovascular Diseases, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, No 3 East of Qinchun Road, Hangzhou, Zhejiang, 310000, People's Republic of China.,Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China
| | - Wenbin Zhang
- Department of Cardiovascular Diseases, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, No 3 East of Qinchun Road, Hangzhou, Zhejiang, 310000, People's Republic of China. .,Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, China.
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Corbacho-Alonso N, Baldán-Martín M, López JA, Rodríguez-Sánchez E, Martínez PJ, Mourino-Alvarez L, Martin-Rojas T, Sastre-Oliva T, Madruga F, Vázquez J, Padial LR, Alvarez-Llamas G, Vivanco F, Ruiz-Hurtado G, Ruilope LM, Barderas MG. Novel molecular plasma signatures on cardiovascular disease can stratify patients throughout life. J Proteomics 2020; 222:103816. [DOI: 10.1016/j.jprot.2020.103816] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 03/30/2020] [Accepted: 05/06/2020] [Indexed: 02/08/2023]
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98
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Zhou Y, Luo G. Apolipoproteins, as the carrier proteins for lipids, are involved in the development of breast cancer. Clin Transl Oncol 2020; 22:1952-1962. [PMID: 32306242 PMCID: PMC7505814 DOI: 10.1007/s12094-020-02354-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 04/04/2020] [Indexed: 12/14/2022]
Abstract
Apolipoproteins, the key components of lipoproteins, play vital roles in the combination and transportation of lipids. Numerous research articles have accumulated solid evidence that lipoproteins are closely related to various types of tumorigenesis. In this review, we focused on the associations between several apolipoproteins and breast carcinoma and distinguished the effects and significance of apolipoproteins in different locations to validate their roles in breast carcinoma development. For example, apoD and apoE in serum are viewed as risk factors for breast carcinoma. ApoD, apoE and apoA-I in mammary tissues inhibit tumor growth. Moreover, apoB, apoJ and apoA-I have the potential to function as diagnostic or prognostic markers in the clinic. ApoEdp and apoJ treatment on breast carcinoma could significantly restrict tumor growth. In general, the aim of this review was to further analyze the associations between some members of the apolipoprotein family and breast cancer.
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Affiliation(s)
- Y Zhou
- Comprehensive Laboratory, Changzhou Key Lab of Individualized Diagnosis and Treatment Associated with High Technology Research, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China
| | - G Luo
- Comprehensive Laboratory, Changzhou Key Lab of Individualized Diagnosis and Treatment Associated with High Technology Research, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.
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99
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Arteaga SS, Gillman MW. Promoting Ideal Cardiovascular Health Through the Life Span. Pediatrics 2020; 145:peds.2020-0159. [PMID: 32209702 PMCID: PMC7111490 DOI: 10.1542/peds.2020-0159] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/21/2020] [Indexed: 01/03/2023] Open
Affiliation(s)
- S. Sonia Arteaga
- Environmental Influences on Child Health Outcomes Program, Office of the Director, National Institutes of Health, Bethesda, Maryland
| | - Matthew W. Gillman
- Environmental Influences on Child Health Outcomes Program, Office of the Director, National Institutes of Health, Bethesda, Maryland
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100
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Kouvari M, Panagiotakos DB, Chrysohoou C, Georgousopoulou EN, Tousoulis D, Pitsavos C. Sex-Related Differences of the Effect of Lipoproteins and Apolipoproteins on 10-Year Cardiovascular Disease Risk; Insights from the ATTICA Study (2002-2012). Molecules 2020; 25:E1506. [PMID: 32225033 PMCID: PMC7180686 DOI: 10.3390/molecules25071506] [Citation(s) in RCA: 2] [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] [Received: 02/22/2020] [Revised: 03/24/2020] [Accepted: 03/24/2020] [Indexed: 01/14/2023] Open
Abstract
The sex-specific effect of lipid-related biomarkers on 10-year first fatal/non fatal cardiovascular disease (CVD) incidence was evaluated. ATTICA study was conducted during 2001-2012. n = 1514 men and n = 1528 women (>18 years) from greater Athens area, Greece were recruited. Follow-up (2011-2012) was achieved in n = 2020 participants. Baseline lipid profile was measured. Overall CVD event was 15.5% (n = 317) (19.7% in men and 11.7% in women, p < 0.001). High density lipoprotein cholesterol (HDL-C) and triglycerides (TAG) were independently associated with CVD in women; per 10 mg/dL HDL-C increase, hazard ratio (HR) = 0.73, 95% confidence interval (95% CI) (0.53, 1.00); and per 10 mg/dL TAG increase, HR = 1.10, 95% CI (1.00, 1.21). Apolipoprotein A1 (ApoA1) (per 10 mg/dL increase, HR = 0.90, 95% CI (0.81, 0.99)) was inversely associated with CVD in women, while a positive association with apolipoprotein B100 (ApoB100) was observed only in men (per 10 mg/dL increase, HR = 1.10, 95% CI (1.00, 1.21)). Non-HDL-C was associated with CVD in the total sample (HR = 1.10, 95% CI (1.00, 1.21)) and in women (HR = 1.10, 95% CI (1.00, 1.21)); a steep increase in HR was observed for values >185 mg/dL in the total sample and in men, while in women, a raise in CVD risk was observed from lower values (>145 mg/dL). As for non-HDL-C/HDL-C and TC/HDL-C ratios, similar trends were observed. Beyond the common cholesterol-adjusted risk scores, reclassifying total CVD risk according to other lipid markers may contribute to early CVD prevention. Biomarkers such as HDL-C, non-HDL-C, and TAG should be more closely monitored in women.
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Affiliation(s)
- Matina Kouvari
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 176 76 Athens, Greece; (M.K.); (E.N.G.)
| | - Demosthenes B. Panagiotakos
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 176 76 Athens, Greece; (M.K.); (E.N.G.)
- Faculty of Health, University of Canberra, Bruce ACT 2617, Australia
| | - Christina Chrysohoou
- First Cardiology Clinic, School of Medicine, University of Athens, 157 72 Athens, Greece; (C.C.); (D.T.); (C.P.)
| | - Ekavi N. Georgousopoulou
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 176 76 Athens, Greece; (M.K.); (E.N.G.)
- School of Medicine, Sydney, The University of Notre Dame, 128-140 Broadway, Chippendale NSW 2007, Australia
- Medical School, Australian National University, Canberra, Canberra ACT 0200, Australia
| | - Dimitrios Tousoulis
- First Cardiology Clinic, School of Medicine, University of Athens, 157 72 Athens, Greece; (C.C.); (D.T.); (C.P.)
| | - Christos Pitsavos
- First Cardiology Clinic, School of Medicine, University of Athens, 157 72 Athens, Greece; (C.C.); (D.T.); (C.P.)
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