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Coronado JM, Lebedeva A, Bahls M. Disparities in heart health - Insights from Sweden. Atherosclerosis 2025; 402:119104. [PMID: 39903950 DOI: 10.1016/j.atherosclerosis.2025.119104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2025] [Accepted: 01/14/2025] [Indexed: 02/06/2025]
Affiliation(s)
- Joany Mariño Coronado
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Anna Lebedeva
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Martin Bahls
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.
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Kazemi Asl S, Rahimzadegan M, Kazemi Asl A. Pharmacogenomics-based systematic review of coronary artery disease based on personalized medicine procedure. Heliyon 2024; 10:e28983. [PMID: 38601677 PMCID: PMC11004819 DOI: 10.1016/j.heliyon.2024.e28983] [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: 12/03/2023] [Revised: 03/27/2024] [Accepted: 03/27/2024] [Indexed: 04/12/2024] Open
Abstract
Background Coronary artery disease (CAD) is the most common reason for mortality and disability-adjusted life years (DALYs) lost globally. This study aimed to suggest a new gene list for the treatment of CAD by a systematic review of bioinformatics analyses of pharmacogenomics impacts of potential genes and variants. Methods PubMed search was filtered by the title including Coronary Artery Disease during 2020-2023. To find the genes with pharmacogenetic impact on the CAD, additional filtrations were considered according to the variant annotations. Protein-Protein Interactions (PPIs), Gene-miRNA Interactions (GMIs), Protein-Drug Interactions (PDIs), and variant annotation assessments (VAAs) performed by STRING-MODEL (ver. 12), Cytoscape (ver. 3.10), miRTargetLink.2., NetworkAnalyst (ver 0.3.0), and PharmGKB. Results Results revealed 5618 publications, 1290 papers were qualified, and finally, 650 papers were included. 4608 protein-coding genes were extracted, among them, 1432 unique genes were distinguished and 530 evidence-based repeated genes remained. 71 genes showed a pharmacogenetics-related variant annotation in at least (entirely 6331 annotations). Variant annotation assessment (VAA) showed 532 potential variants for the final report, and finally, the concluding PGs list represented 175 variants. Based on the function and MAF, 57 nonsynonymous variants of 29 Pharmacogenomics-related genes were associated with CAD. Conclusion Conclusively, evaluating circulating miR33a in individuals' plasma with CAD, and genotyping of rs2230806, rs2230808, rs2487032, rs12003906, rs2472507, rs2515629, and rs4149297 (ABCA1 variants) lead to precisely prescribing of well-known drugs. Also, the findings of this review can be used in both whole-genome sequencing (WGS) and whole-exome sequencing (WES) analysis in the prognosis and diagnosis of CAD.
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Affiliation(s)
- Siamak Kazemi Asl
- Deputy of Education, Ministry of Health and Medical Education, Tehran, Iran
| | - Milad Rahimzadegan
- Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Alireza Kazemi Asl
- Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Khoja A, Andraweera PH, Lassi ZS, Padhani ZA, Ali A, Zheng M, Pathirana MM, Aldridge E, Wittwer MR, Chaudhuri DD, Tavella R, Arstall MA. Modifiable and Non-Modifiable Risk Factors for Premature Coronary Heart Disease (PCHD): Systematic Review and Meta-Analysis. Heart Lung Circ 2024; 33:265-280. [PMID: 38365496 DOI: 10.1016/j.hlc.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 12/01/2023] [Accepted: 12/07/2023] [Indexed: 02/18/2024]
Abstract
AIM We aimed to compare the prevalence of modifiable and non-modifiable coronary heart disease (CHD) risk factors among those with premature CHD and healthy individuals. METHODS PubMed, CINAHL, Embase, and Web of Science databases were searched (review protocol is registered in PROSPERO CRD42020173216). The quality of studies was assessed using the National Heart, Lung and Blood Institute tool for cross-sectional, cohort and case-control studies. Meta-analyses were performed using Review Manager 5.3. Effect sizes for categorical and continuous variables, odds ratio (OR) and mean differences (MD)/standardised mean differences (SMD) with 95% confidence intervals (CI) were reported. RESULTS A total of n=208 primary studies were included in this review. Individuals presenting with premature CHD (PCHD, age ≤65 years) had higher mean body mass index (MD 0.54 kg/m2, 95% CI 0.24, 0.83), total cholesterol (SMD 0.27, 95% CI 0.17, 0.38), triglycerides (SMD 0.50, 95% CI 0.41, 0.60) and lower high-density lipoprotein cholesterol (SMD 0.79, 95% CI: -0.91, -0.68) compared with healthy individuals. Individuals presenting with PCHD were more likely to be smokers (OR 2.88, 95% CI 2.51, 3.31), consumed excessive alcohol (OR 1.40, 95% CI 1.05, 1.86), had higher mean lipoprotein (a) levels (SMD 0.41, 95% CI 0.28, 0.54), and had a positive family history of CHD (OR 3.65, 95% CI 2.87, 4.66) compared with healthy individuals. Also, they were more likely to be obese (OR 1.59, 95% CI 1.32, 1.91), and to have had dyslipidaemia (OR 2.74, 95% CI 2.18, 3.45), hypertension (OR 2.80, 95% CI 2.28, 3.45), and type 2 diabetes mellitus (OR 2.93, 95% CI 2.50, 3.45) compared with healthy individuals. CONCLUSION This meta-analysis confirms current knowledge of risk factors for PCHD, and identifying these early may reduce CHD in young adults.
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Affiliation(s)
- Adeel Khoja
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia.
| | - Prabha H Andraweera
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Zohra S Lassi
- The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; School of Public Health, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Zahra A Padhani
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - Anna Ali
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - Mingyue Zheng
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; School of Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Maleesa M Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Emily Aldridge
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Melanie R Wittwer
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Debajyoti D Chaudhuri
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Rosanna Tavella
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; Department of Cardiology, Basil Hetzel Institute for Translational Health Research, The Queen Elizabeth Hospital, Adelaide, SA, Australia
| | - Margaret A Arstall
- Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia; Medical Specialties, Faculty of Health Sciences, The University of Adelaide, Adelaide, SA, Australia
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Estratificación de riesgo cardiovascular: conceptos, análisis crítico, desafíos e historia de su desarrollo en Chile. REVISTA MÉDICA CLÍNICA LAS CONDES 2022. [DOI: 10.1016/j.rmclc.2022.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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Farmaki AE, Garfield V, Eastwood SV, Farmer RE, Mathur R, Giannakopoulou O, Patalay P, Kuchenbaecker K, Sattar N, Hughes A, Bhaskaran K, Smeeth L, Chaturvedi N. Type 2 diabetes risks and determinants in second-generation migrants and mixed ethnicity people of South Asian and African Caribbean descent in the UK. Diabetologia 2022; 65:113-127. [PMID: 34668055 PMCID: PMC8660755 DOI: 10.1007/s00125-021-05580-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 03/26/2021] [Indexed: 11/24/2022]
Abstract
AIMS/HYPOTHESIS Excess risks of type 2 diabetes in UK South Asians (SA) and African Caribbeans (AC) compared with Europeans remain unexplained. We studied risks and determinants of type 2 diabetes in first- and second-generation (born in the UK) migrants, and in those of mixed ethnicity. METHODS Data from the UK Biobank, a population-based cohort of ~500,000 participants aged 40-69 at recruitment, were used. Type 2 diabetes was assigned using self-report and HbA1c. Ethnicity was both self-reported and genetically assigned using admixture level scores. European, mixed European/South Asian (MixESA), mixed European/African Caribbean (MixEAC), SA and AC groups were analysed, matched for age and sex to enable comparison. In the frames of this cross-sectional study, we compared type 2 diabetes in second- vs first-generation migrants, and mixed ethnicity vs non-mixed groups. Risks and explanations were analysed using logistic regression and mediation analysis, respectively. RESULTS Type 2 diabetes prevalence was markedly elevated in SA (599/3317 = 18%) and AC (534/4180 = 13%) compared with Europeans (140/3324 = 4%). Prevalence was lower in second- vs first-generation SA (124/1115 = 11% vs 155/1115 = 14%) and AC (163/2200 = 7% vs 227/2200 = 10%). Favourable adiposity (i.e. lower waist/hip ratio or BMI) contributed to lower risk in second-generation migrants. Type 2 diabetes in mixed populations (MixESA: 52/831 = 6%, MixEAC: 70/1045 = 7%) was lower than in comparator ethnic groups (SA: 18%, AC: 13%) and higher than in Europeans (4%). Greater socioeconomic deprivation accounted for 17% and 42% of the excess type 2 diabetes risk in MixESA and MixEAC compared with Europeans, respectively. Replacing self-reported with genetically assigned ethnicity corroborated the mixed ethnicity analysis. CONCLUSIONS/INTERPRETATION Type 2 diabetes risks in second-generation SA and AC migrants are a fifth lower than in first-generation migrants. Mixed ethnicity risks were markedly lower than SA and AC groups, though remaining higher than in Europeans. Distribution of environmental risk factors, largely obesity and socioeconomic status, appears to play a key role in accounting for ethnic differences in type 2 diabetes risk.
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Affiliation(s)
- Aliki-Eleni Farmaki
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, UK.
| | - Victoria Garfield
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, UK
| | - Sophie V Eastwood
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, UK
| | - Ruth E Farmer
- London School of Hygiene & Tropical Medicine, London, UK
| | - Rohini Mathur
- London School of Hygiene & Tropical Medicine, London, UK
| | - Olga Giannakopoulou
- Division of Psychiatry, University College London, London, UK
- UCL Genetics Institute, University College London, London, UK
| | - Praveetha Patalay
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, UK
- Centre for Longitudinal Studies, University College London, London, UK
| | - Karoline Kuchenbaecker
- Division of Psychiatry, University College London, London, UK
- UCL Genetics Institute, University College London, London, UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Alun Hughes
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, UK
| | | | - Liam Smeeth
- London School of Hygiene & Tropical Medicine, London, UK
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, UK
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Liang J, He X, Zhou H, Liang P. Effects of Danhong injection on cardiac function and blood lipid in patients with angina pectoris of coronary heart disease: A protocol for randomized, double-blind, placebo-controlled clinical trial. Medicine (Baltimore) 2021; 100:e27479. [PMID: 34713825 PMCID: PMC8556048 DOI: 10.1097/md.0000000000027479] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Angina pectoris of coronary heart disease is the leading cause of death worldwide. Danhong injection is a supplement for angina pectoris of coronary heart disease. A large number of studies have confirmed its efficacy and safety. However, there is no rigorous clinical study to evaluate the effects of Danhong injection on cardiac function and blood lipid in patients with angina pectoris of coronary heart disease. METHODS This is a prospective, randomized, double-blind, placebo-controlled trial to study the effects of Danhong injection on cardiac function and lipid profile in patients with angina pectoris of coronary heart disease. Participants will be randomly divided into treatment group and control group. The treatment group will be treated with Danhong injection and the control group will be treated with placebo under basic treatment according to recommended guideline, and followed up for 3 months after 14 consecutive days of treatment. Outcomes include: cardiac function (left ventricular end-diastolic diameter); left ventricular end-systolic diameter; left ventricular ejection fraction, blood lipid levels (total cholesterol; triacylglycerol; low density lipoprotein cholesterol; high density lipoprotein cholesterol), the number of angina attacks per week, total amount of nitroglycerin tablets, and adverse reactions. DISCUSSION This study will evaluate the efficacy of Danhong injection in improving cardiac function and blood lipid in patients with angina pectoris of coronary heart disease. The results of this study will provide reference for clinical use of Danhong injection to improve cardiac function and blood lipid in patients with angina pectoris of coronary heart disease.Trial registration: OSF Registration number: DOI 10.17605/OSF.IO/TPZJ5.
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Prasad GVR, Bhamidi V. Managing cardiovascular disease risk in South Asian kidney transplant recipients. World J Transplant 2021; 11:147-160. [PMID: 34164291 PMCID: PMC8218347 DOI: 10.5500/wjt.v11.i6.147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/12/2021] [Accepted: 05/22/2021] [Indexed: 02/06/2023] Open
Abstract
South Asians (SA) are at higher cardiovascular risk than other ethnic groups, and SA kidney transplant recipients (SA KTR) are no exception. SA KTR experience increased major adverse cardiovascular events both early and late post-transplantation. Cardiovascular risk management should therefore begin well before transplantation. SA candidates may require aggressive screening for pre-transplant cardiovascular disease (CVD) due to their ethnicity and comorbidities. Recording SA ethnicity during the pre-transplant evaluation may enable programs to better assess cardiovascular risk, thus allowing for earlier targeted peri- and post-transplant intervention to improve cardiovascular outcomes. Diabetes remains the most prominent post-transplant cardiovascular risk factor in SA KTR. Diabetes also clusters with other metabolic syndrome components including lower high-density lipoprotein cholesterol, higher triglycerides, hypertension, and central obesity in this population. Dyslipidemia, metabolic syndrome, and obesity are all significant CVD risk factors in SA KTR, and contribute to increased insulin resistance. Novel biomarkers such as adiponectin, apolipoprotein B, and lipoprotein (a) may be especially important to study in SA KTR. Focused interventions to improve health behaviors involving diet and exercise may especially benefit SA KTR. However, there are few interventional clinical trials specific to the SA population, and none are specific to SA KTR. In all cases, understanding the nuances of managing SA KTR as a distinct post-transplant group, while still screening for and managing each CVD risk factor individually in all patients may help improve the long-term success of all kidney transplant programs catering to multi-ethnic populations.
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Affiliation(s)
- G V Ramesh Prasad
- Kidney Transplant Program, St. Michael's Hospital, Toronto M5C 2T2, ON, Canada
| | - Vaishnavi Bhamidi
- Kidney Transplant Program, St. Michael's Hospital, Toronto M5C 2T2, ON, Canada
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Ralapanawa U, Sivakanesan R. Epidemiology and the Magnitude of Coronary Artery Disease and Acute Coronary Syndrome: A Narrative Review. J Epidemiol Glob Health 2021; 11:169-177. [PMID: 33605111 PMCID: PMC8242111 DOI: 10.2991/jegh.k.201217.001] [Citation(s) in RCA: 292] [Impact Index Per Article: 73.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 12/04/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Coronary Artery Disease (CAD) is the foremost single cause of mortality and loss of Disability Adjusted Life Years (DALYs) globally. A large percentage of this burden is found in low and middle income countries. This accounts for nearly 7 million deaths and 129 million DALYs annually and is a huge global economic burden. OBJECTIVE To review epidemiological data of coronary artery disease and acute coronary syndrome in low, middle and high income countries. METHODS Keyword searches of Medline, ISI, IBSS and Google Scholar databases. Manual search of other relevant journals and reference lists of primary articles. RESULTS Review of the results of studies reveals the absolute global and regional trends of the CAD and the importance and contribution of CAD for global health. Data demonstrates which region or countries have the highest and lowest age-standardized DALY rates and what factors might explain these patterns. Results also show differences among the determinants of CAD, government policies, clinical practice and public health measures across the various regions of world. CONCLUSION CAD mortality and prevalence vary among countries. Estimation of the true prevalence of CAD in the population is complex. A significant number of countries have not provided data, the estimation of the exact figures for epidemiological data is a barrier. The incidence of CAD continues to fall in developed countries over the last few decades and this may be due to both effective treatment of the acute phase and improved primary and secondary preventive measures. Developing countries show considerable variability in the incidence of CAD. The globalization of the Western diet and increased sedentary lifestyle will have a dramatic influence on the progressive increase in the incidence of CAD in these countries.
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Logistic regression was as good as machine learning for predicting major chronic diseases. J Clin Epidemiol 2020; 122:56-69. [PMID: 32169597 DOI: 10.1016/j.jclinepi.2020.03.002] [Citation(s) in RCA: 191] [Impact Index Per Article: 38.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 02/21/2020] [Accepted: 03/04/2020] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To evaluate the performance of machine learning (ML) algorithms and to compare them with logistic regression for the prediction of risk of cardiovascular diseases (CVDs), chronic kidney disease (CKD), diabetes (DM), and hypertension (HTN) and in a prospective cohort study using simple clinical predictors. STUDY DESIGN AND SETTING We conducted analyses in a population-based cohort study in Asian adults (n = 6,762). Five different ML models were considered-single-hidden-layer neural network, support vector machine, random forest, gradient boosting machine, and k-nearest neighbor-and were compared with standard logistic regression. RESULTS The incidences at 6 years of CVD, CKD, DM, and HTN cases were 4.0%, 7.0%, 9.2%, and 34.6%, respectively. Logistic regression reached the highest area under the receiver operating characteristic curve for CKD (0.905 [0.88, 0.93]) and DM (0.768 [0.73, 0.81]) predictions. For CVD and HTN, the best models were neural network (0.753 [0.70, 0.81]) and support vector machine (0.780 [0.747, 0.812]), respectively. However, the differences with logistic regression were small (less than 1%) and nonsignificant. Logistic regression, gradient boosting machine, and neural network were systematically ranked among the best models. CONCLUSION Logistic regression yields as good performance as ML models to predict the risk of major chronic diseases with low incidence and simple clinical predictors.
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Lycium barbarum polysaccharides attenuate rat anti-Thy-1 glomerulonephritis through mediating pyruvate dehydrogenase. Biomed Pharmacother 2019; 116:109020. [DOI: 10.1016/j.biopha.2019.109020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 05/20/2019] [Accepted: 05/21/2019] [Indexed: 01/04/2023] Open
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Enas EA, Varkey B, Dharmarajan TS, Pare G, Bahl VK. Lipoprotein(a): An underrecognized genetic risk factor for malignant coronary artery disease in young Indians. Indian Heart J 2019; 71:184-198. [PMID: 31543191 PMCID: PMC6796644 DOI: 10.1016/j.ihj.2019.04.007] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Revised: 03/14/2019] [Accepted: 04/26/2019] [Indexed: 02/06/2023] Open
Abstract
Malignant coronary artery disease (CAD) refers to a severe and extensive atherosclerotic process involving multiple coronary arteries in young individuals (aged <45 years in men and <50 years in women) with a low or no burden of established risk factors. Indians, in general, develop acute myocardial infarction (AMI) about 10 years earlier; AMI rates are threefold to fivefold higher in young Indians than in other populations. Although established CAD risk factors have a predictive value, they do not fully account for the excessive burden of CAD in young Indians. Lipoprotein(a) (Lp(a)) is increasingly recognized as the strongest known genetic risk factor for premature CAD, with high levels observed in Indians with malignant CAD. High Lp(a) levels confer a twofold to threefold risk of CAD-a risk similar to that of established risk factors, including diabetes. South Asians have the second highest Lp(a) levels and the highest risk of AMI from the elevated levels, more than double the risk observed in people of European descent. Approximately 25% of Indians and other South Asians have elevated Lp(a) levels (≥50 mg/dl), rendering Lp(a) a risk factor of great importance, similar to or surpassing diabetes. Lp(a) measurement is ready for clinical use and should be an essential part of all CAD research in Indians.
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Affiliation(s)
- Enas A Enas
- Coronary Artery Disease in Indians (CADI) Research Foundation, Lisle, IL, USA.
| | - Basil Varkey
- Medical College of Wisconsin, Milwaukee, WI, USA
| | | | | | - Vinay K Bahl
- Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India
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