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WPRIM Management System>
DCMS
>
Journal of Lipid and Atherosclerosis
>
2019
>
8
>
2
Volume:
8
Issue:
2
1. Anti-malarial Drugs Reduce Vascular Smooth Muscle Cell Proliferation via Activation of AMPK and Inhibition of Smad3 Signaling
Page:267—276
2. Differing Associations between Fatty Liver and Dyslipidemia According to the Degree of Hepatic Steatosis in Korea
Page:258—266
3. Effects of Obesity and Family History of Diabetes on the Association of CETP rs6499861 with HDL-C Level in Korean Populations
Page:252—257
4. Dyslipidemia and Rate of Under-Target Low-Density Lipoprotein-Cholesterol in Patients with Coronary Artery Disease in Korea
Page:242—251
5. Analysis of ¹⁸F-Fluorodeoxyglucose and ¹⁸F-Fluoride Positron Emission Tomography in Korean Stroke Patients with Carotid Atherosclerosis
Page:232—241
6. Efficacy and Safety of Prescription Omega-3 Fatty Acids Added to Stable Statin Therapy in Korean Patients with Type 2 Diabetes and Hypertriglyceridemia: a Randomized Controlled Trial
Page:221—231
7. Intensity of Statin Treatment in Korean Patients with Acute Myocardial Infarction and Very Low LDL Cholesterol
Page:208—220
8. Should We Intensify Statin Management in ACS Patients with Very Low LDL Cholesterol Levels?
Page:204—207
9. Nutritional Therapy for Asian Patients at Risk for Atherosclerotic Cardiovascular Disease
Page:192—203
10. Pharmacological Strategies beyond Statins: Ezetimibe and PCSK9 Inhibitors
Page:183—191
11. The Potential Role of Biomarkers Associated with ASCVD Risk: Risk-Enhancing Biomarkers
Page:173—182
12. Aspirin for Primary Prevention of Cardiovascular Disease
Page:162—172
13. Single Cell RNA-Sequencing for the Study of Atherosclerosis
Page:152—161
14. Diabetes-related Amylin Dyshomeostasis: a Contributing Factor to Cerebrovascular Pathology and Dementia
Page:144—151
15. Genetically Mediated Lipid Metabolism and Risk of Insulin Resistance: Insights from Mendelian Randomization Studies
Page:132—143
16. 2018 Guidelines for the Management of Dyslipidemia in Korea
Page:78—131
17. Mendelian Randomization Analysis in Observational Epidemiology
Page:67—77