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Okamura T, Tsukamoto K, Arai H, Fujioka Y, Ishigaki Y, Koba S, Ohmura H, Shoji T, Yokote K, Yoshida H, Yoshida M, Deguchi J, Dobashi K, Fujiyoshi A, Hamaguchi H, Hara M, Harada-Shiba M, Hirata T, Iida M, Ikeda Y, Ishibashi S, Kanda H, Kihara S, Kitagawa K, Kodama S, Koseki M, Maezawa Y, Masuda D, Miida T, Miyamoto Y, Nishimura R, Node K, Noguchi M, Ohishi M, Saito I, Sawada S, Sone H, Takemoto M, Wakatsuki A, Yanai H. Japan Atherosclerosis Society (JAS) Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases 2022. J Atheroscler Thromb 2024; 31:641-853. [PMID: 38123343 DOI: 10.5551/jat.gl2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023] Open
Affiliation(s)
- Tomonori Okamura
- Preventive Medicine and Public Health, Keio University School of Medicine
| | | | | | - Yoshio Fujioka
- Faculty of Nutrition, Division of Clinical Nutrition, Kobe Gakuin University
| | - Yasushi Ishigaki
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University
| | - Shinji Koba
- Division of Cardiology, Department of Medicine, Showa University School of Medicine
| | - Hirotoshi Ohmura
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine
| | - Tetsuo Shoji
- Department of Vascular Medicine, Osaka Metropolitan University Graduate school of Medicine
| | - Koutaro Yokote
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine
| | - Hiroshi Yoshida
- Department of Laboratory Medicine, The Jikei University Kashiwa Hospital
| | | | - Juno Deguchi
- Department of Vascular Surgery, Saitama Medical Center, Saitama Medical University
| | - Kazushige Dobashi
- Department of Pediatrics, School of Medicine, University of Yamanashi
| | | | | | - Masumi Hara
- Department of Internal Medicine, Mizonokuchi Hospital, Teikyo University School of Medicine
| | - Mariko Harada-Shiba
- Cardiovascular Center, Osaka Medical and Pharmaceutical University
- Department of Molecular Pathogenesis, National Cerebral and Cardiovascular Center Research Institute
| | - Takumi Hirata
- Institute for Clinical and Translational Science, Nara Medical University
| | - Mami Iida
- Department of Internal Medicine and Cardiology, Gifu Prefectural General Medical Center
| | - Yoshiyuki Ikeda
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Shun Ishibashi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jichi Medical University, School of Medicine
- Current affiliation: Ishibashi Diabetes and Endocrine Clinic
| | - Hideyuki Kanda
- Department of Public Health, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
| | - Shinji Kihara
- Medical Laboratory Science and Technology, Division of Health Sciences, Osaka University graduate School of medicine
| | - Kazuo Kitagawa
- Department of Neurology, Tokyo Women's Medical University Hospital
| | - Satoru Kodama
- Department of Prevention of Noncommunicable Diseases and Promotion of Health Checkup, Department of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine
| | - Masahiro Koseki
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
| | - Yoshiro Maezawa
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine
| | - Daisaku Masuda
- Department of Cardiology, Center for Innovative Medicine and Therapeutics, Dementia Care Center, Doctor's Support Center, Health Care Center, Rinku General Medical Center
| | - Takashi Miida
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine
| | | | - Rimei Nishimura
- Department of Diabetes, Metabolism and Endocrinology, The Jikei University School of Medicine
| | - Koichi Node
- Department of Cardiovascular Medicine, Saga University
| | - Midori Noguchi
- Division of Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University
| | - Mitsuru Ohishi
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Isao Saito
- Department of Public Health and Epidemiology, Faculty of Medicine, Oita University
| | - Shojiro Sawada
- Division of Metabolism and Diabetes, Faculty of Medicine, Tohoku Medical and Pharmaceutical University
| | - Hirohito Sone
- Department of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine
| | - Minoru Takemoto
- Department of Diabetes, Metabolism and Endocrinology, International University of Health and Welfare
| | | | - Hidekatsu Yanai
- Department of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine Kohnodai Hospital
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Koba S, Satoh N, Ito Y, Yokota Y, Tsunoda F, Sakai K, Nakamura Y, Shoji M, Hirano T, Shinke T. Impact of Direct Measurement of Small Dense Low-Density Lipoprotein Cholesterol for Long-Term Secondary Prevention in Patients with Stable Coronary Artery Disease. Clin Chem 2024:hvae061. [PMID: 38757272 DOI: 10.1093/clinchem/hvae061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 03/25/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND This study investigated whether directly measured small dense low-density lipoprotein cholesterol (D-sdLDL-C) can predict long-term coronary artery disease (CAD) events compared with low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), apolipoprotein B (apoB), and estimated small dense low-density lipoprotein cholesterol (E-sdLDL-C) determined by the Sampson equation in patients with stable CAD. METHODS D-sdLDL-C measured at Showa University between 2010 and 2022, and E-sdLDL-C were evaluated in 790 male and 244 female patients with stable CAD. CAD events, defined as sudden cardiac death, onset of acute coronary syndrome, and/or need for coronary revascularization, were monitored for 12 years. Cutoff lipid levels were determined by receiver operating characteristic curves. RESULTS CAD events were observed in 238 male and 67 female patients. The Kaplan-Meier event-free survival curves showed that patients with D-sdLDL-C ≥32.1 mg/dL (0.83 mmol/L) had an increased risk for CAD events (P = 0.007), whereas risk in patients with E-sdLDL-C ≥36.2 mg/dL (0.94 mmol/L) was not increased. In the group with high D-sdLDL-C, the multivariable-adjusted hazard ratio (HR) was 1.47 (95% CI, 1.15-1.89), and it remained significant after adjustment for LDL-C, non-HDL-C, or apoB and in patients treated with statins. HRs for high LDL-C, non-HDL-C, or apoB were not statistically significant after adjustment for high D-sdLDL-C. Higher D-sdLDL-C was associated with enhanced risk of high LDL-C, non-HDL-C, and apoB (HR 1.73; 95% CI, 1.27-2.37). CONCLUSIONS Higher D-sdLDL-C can predict long-term recurrence of CAD in stable CAD patients independently of apoB and non-HDL-C. D-sdLDL-C is an independent risk enhancer for secondary CAD prevention, whereas E-sdLDL-C is not. UMIN-CTR Clinical Trial Number: UMIN000027504.
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Affiliation(s)
- Shinji Koba
- Department of General Medicine, Showa University Graduate School of Dentistry, Tokyo, Japan
- Department of Medicine, Division of Cardiology, Showa University Graduate School of Medicine, Tokyo, Japan
| | - Noriyuki Satoh
- Clinical Diagnostics Development Department, Denka Co. Ltd, Tokyo, Japan
| | - Yasuki Ito
- Clinical Diagnostics Development Department, Denka Co. Ltd, Tokyo, Japan
| | - Yuya Yokota
- Department of Medicine, Division of Cardiology, Showa University Graduate School of Medicine, Tokyo, Japan
| | - Fumiyoshi Tsunoda
- Department of Medicine, Division of Cardiology, Showa University Graduate School of Medicine, Tokyo, Japan
| | - Koshiro Sakai
- Department of Medicine, Division of Cardiology, Showa University Graduate School of Medicine, Tokyo, Japan
| | - Yuya Nakamura
- Department of Medicine, Division of Cardiology, Showa University Graduate School of Medicine, Tokyo, Japan
| | - Makoto Shoji
- Department of Medicine, Division of Cardiology, Showa University Graduate School of Medicine, Tokyo, Japan
| | - Tsutomu Hirano
- Diabetes Center, Ebina General Hospital, Kanagawa, Japan
| | - Toshiro Shinke
- Department of Medicine, Division of Cardiology, Showa University Graduate School of Medicine, Tokyo, Japan
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Yamaji T, Harada T, Kajikawa M, Maruhashi T, Kishimoto S, Yusoff FM, Chayama K, Goto C, Nakashima A, Tomiyama H, Takase B, Kohro T, Suzuki T, Ishizu T, Ueda S, Yamazaki T, Furumoto T, Kario K, Inoue T, Watanabe K, Takemoto Y, Hano T, Sata M, Ishibashi Y, Node K, Maemura K, Ohya Y, Furukawa T, Ito H, Yamashina A, Koba S, Higashi Y. Role of Small Dense Low-density Lipoprotein Cholesterol in Cardiovascular Events in Patients with Coronary Artery Disease and Type 2 Diabetes Mellitus Receiving Statin Treatment. J Atheroscler Thromb 2024; 31:478-500. [PMID: 37926523 PMCID: PMC10999715 DOI: 10.5551/jat.64416] [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: 06/04/2023] [Accepted: 09/26/2023] [Indexed: 11/07/2023] Open
Abstract
AIM There is little information on the relationships of serum small dense low-density lipoprotein cholesterol (sdLDL-C) levels and serum triglyceride (TG) levels with cardiovascular events in patients with coronary artery disease (CAD) and type 2 diabetes mellitus (DM) who are receiving statins. The aim of this study was to evaluate the relationships of serum TG levels and sdLDL-C levels as residual risks for cardiovascular events in patients with CAD and type 2 DM who were being treated with statins. METHODS The subjects were divided into four groups based on TG levels and sdLDL-C levels: sdLDL-C of <40.0 mg/dL and TG of <150 mg/dL, sdLDL-C of ≥ 40.0 mg/dL and TG of <150 mg/dL, sdLDL-C of <40.0 mg/dL and TG of ≥ 150 mg/dL, and sdLDL-C of ≥ 40.0 mg/dL and TG of ≥ 150 mg/dL. During a median follow-up period of 1419 days, cardiovascular events occurred in 34 patients. RESULTS The incidences of cardiovascular events were significantly higher in patients with sdLDL-C of ≥ 40.0 mg/dL and TG of <150 mg/dL and in patients with sdLDL-C of ≥ 40.0 mg/dL and TG of ≥ 150 mg/dL, but not in patients with sdLDL-C of <40.0 mg/dL and TG of ≥ 150 mg/dL, than in patients with sdLDL-C of <40.0 mg/dL and TG of <150 mg/dL. CONCLUSIONS Under the condition of treatment with statins, patients with CAD and type 2 DM who had sdLDL-C levels of ≥ 40.0 mg/dL had a high risk for cardiovascular events even though serum TG levels were controlled at <150 mg/dL.
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Affiliation(s)
- Takayuki Yamaji
- Department of Cardiovascular Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Takahiro Harada
- Department of Cardiovascular Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Masato Kajikawa
- Division of Regeneration and Medicine, Medical Center for Translational and Clinical Research, Hiroshima University Hospital, Hiroshima, Japan
| | - Tatsuya Maruhashi
- Department of Cardiovascular Regeneration and Medicine, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Shinji Kishimoto
- Department of Cardiovascular Regeneration and Medicine, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Farina Mohamad Yusoff
- Department of Cardiovascular Regeneration and Medicine, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Kazuaki Chayama
- Department of Gastroenterology and Metabolism, Institute of Biomedical and Health Sciences, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Chikara Goto
- Department of Physical Therapy, Hiroshima International University, Hiroshima, Japan
| | - Ayumu Nakashima
- Division of Regeneration and Medicine, Medical Center for Translational and Clinical Research, Hiroshima University Hospital, Hiroshima, Japan
| | | | - Bonpei Takase
- Division of Biomedical Engineering, National Defense Medical College Research Institute, Tokorozawa, Japan
| | - Takahide Kohro
- Department of Clinical Informatics, Jichi Medical University School of Medicine, Tochigi, Japan
| | - Toru Suzuki
- Cardiovascular Medicine, University of Leicester, Leicester, UK
| | - Tomoko Ishizu
- Cardiovascular Division, Institute of Clinical Medicine, University of Tsukuba, Ibaraki, Japan
| | - Shinichiro Ueda
- Department of Clinical Pharmacology and Therapeutics, University of the Ryukyu School of Medicine, Okinawa, Japan
| | - Tsutomu Yamazaki
- Department of Clinical Epidemiology and Systems, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tomoo Furumoto
- Department of Cardiovascular Medicine, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - Kazuomi Kario
- Division of Cardiovascular Medicine, Jichi Medical University School of Medicine, Tochigi, Japan
| | - Teruo Inoue
- Department of Cardiovascular Medicine, Dokkyo Medical University, Mibu, Tochigi, Japan
| | - Kentaro Watanabe
- Department of Neurology, Hematology, Metabolism, Endocrinology and Diabetelogy (DNHMED), Yamagata University School of Medicine, Yamagata, Japan
| | - Yasuhiko Takemoto
- Department of Internal Medicine and Cardiology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Takuzo Hano
- Department of Medical Education and Population-based Medicine, Postgraduate School of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Masataka Sata
- Department of Cardiovascular Medicine, Institute of Health Biosciences, The University of Tokushima Graduate School, Tokushima, Japan
| | - Yutaka Ishibashi
- Department of General Medicine, Shimane University Faculty of Medicine, Izumo, Japan
| | - Koichi Node
- Department of Cardiovascular and Renal Medicine, Saga University, Saga, Japan
| | - Koji Maemura
- Department of Cardiovascular Medicine, Course of Medical and Dental Sciences, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Yusuke Ohya
- The Third Department of Internal Medicine, University of the Ryukyus, Okinawa, Japan
| | - Taiji Furukawa
- Department of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan
| | - Hiroshi Ito
- Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan
| | - Akira Yamashina
- Department of Cardiology, Tokyo Medical University, Tokyo, Japan
| | - Shinji Koba
- Department of Medicine, Division of Cardiology, Showa University School of Medicine, Tokyo, Japan
| | - Yukihito Higashi
- Division of Regeneration and Medicine, Medical Center for Translational and Clinical Research, Hiroshima University Hospital, Hiroshima, Japan
- Department of Cardiovascular Regeneration and Medicine, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
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Zhou Y, Ma Y, Qian D, Zhou Z, Li B, Chai E. The Atherogenic Index of Plasma Predicts Carotid in-Stent Restenosis: Development and Validation of a Nomogram. Int J Gen Med 2024; 17:263-274. [PMID: 38292824 PMCID: PMC10824612 DOI: 10.2147/ijgm.s447008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 01/16/2024] [Indexed: 02/01/2024] Open
Abstract
Purpose To explore the predictive value of atherogenic index of plasma(AIP) for carotid in-stent restenosis(ISR). Methods Patients who underwent carotid artery stenting (CAS) in hospital from January 2016 to January 2021 were retrospectively enrolled. They were randomly divided into training and validation sets. Based on the results of carotid digital subtraction angiography (DSA) during the follow-up period, the patients were divided into ISR group and non-ISR group. The differences of AIP and lipid levels between the two groups were compared. The independent risk factors of ISR and the predictive value of AIP for ISR were analyzed. A nomogram was developed based on the independent risk factors, and the receiver operating characteristic (ROC) curve, the calibration curve and the decision curve analysis were conducted to assess the predictive ability and clinical practicability of the nomogram in both the training set and validation sets. Results A total of 361 patients were enrolled, including 98 in the ISR group and 263 in the non-ISR group. In the training set, AIP was significantly higher in the ISR group than in the non-ISR group (P < 0.05) and was independently associated with ISR (OR= 10.912, 95% CI: 2.520-47.248). When AIP was 0.10, it had the highest predictive value for ISR, with a sensitivity of 72. 1% and a specificity of 75.0%. Additionally, hypertension, residual stenosis, symptomatic stenosis and Hcy were also independent risk factors for ISR. The nomogram showed good discrimination performance and clinical practicability in both the training set (AUC = 0.827) and the validation set (AUC = 0.880). Conclusion AIP was an independent risk factor for ISR and was closely related to ISR. The nomogram developed by AIP and other variables had good predictive ability and clinical practicability for ISR.
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Affiliation(s)
- Yu Zhou
- First Clinical Medical College, Lanzhou University, Lanzhou, People’s Republic of China
- Cerebrovascular Disease Center, Gansu Provincial Hospital, Lanzhou, People’s Republic of China
- Key Laboratory of Cerebrovascular Diseases, Lanzhou, People’s Republic of China
| | - Yong Ma
- Cerebrovascular Disease Center, Gansu Provincial Hospital, Lanzhou, People’s Republic of China
- Key Laboratory of Cerebrovascular Diseases, Lanzhou, People’s Republic of China
- Clinical Medicine College, Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Dongliang Qian
- Cerebrovascular Disease Center, Gansu Provincial Hospital, Lanzhou, People’s Republic of China
- Key Laboratory of Cerebrovascular Diseases, Lanzhou, People’s Republic of China
| | - Zhou Zhou
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, People’s Republic of China
| | - Bin Li
- Cerebrovascular Disease Center, Gansu Provincial Hospital, Lanzhou, People’s Republic of China
- Key Laboratory of Cerebrovascular Diseases, Lanzhou, People’s Republic of China
| | - Erqing Chai
- First Clinical Medical College, Lanzhou University, Lanzhou, People’s Republic of China
- Cerebrovascular Disease Center, Gansu Provincial Hospital, Lanzhou, People’s Republic of China
- Key Laboratory of Cerebrovascular Diseases, Lanzhou, People’s Republic of China
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Chou TH, Cheng CH, Lo CJ, Young GH, Liu SH, Wang RYL. New Advances in Rapid Pretreatment for Small Dense LDL Cholesterol Measurement Using Shear Horizontal Surface Acoustic Wave (SH-SAW) Technology. Int J Mol Sci 2024; 25:1044. [PMID: 38256117 PMCID: PMC10816817 DOI: 10.3390/ijms25021044] [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: 11/21/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 01/24/2024] Open
Abstract
Atherosclerosis is an inflammatory disease of the arteries associated with alterations in lipid and other metabolism and is a major cause of cardiovascular disease (CVD). LDL consists of several subclasses with different sizes, densities, and physicochemical compositions. Small dense LDL (sd-LDL) is a subclass of LDL. There is growing evidence that sd-LDL-C is associated with CVD risk, metabolic dysregulation, and several pathophysiological processes. In this study, we present a straightforward membrane device filtration method that can be performed with simple laboratory methods to directly determine sd-LDL in serum without the need for specialized equipment. The method consists of three steps: first, the precipitation of lipoproteins with magnesium harpin; second, the collection of effluent from a 100 nm filter; and third, the quantification of sd-LDL-ApoB in the effluent with an SH-SAW biosensor. There was a good correlation between ApoB values obtained using the centrifugation (y = 1.0411x + 12.96, r = 0.82, n = 20) and filtration (y = 1.0633x + 15.13, r = 0.88, n = 20) methods and commercially available sd-LDL-C assay values. In addition to the filtrate method, there was also a close correlation between sd-LDL-C and ELISA assay values (y = 1.0483x - 4489, r = 0.88, n = 20). The filtration treatment method also showed a high correlation with LDL subfractions and NMR spectra ApoB measurements (y = 2.4846x + 4.637, r = 0.89, n = 20). The presence of sd-LDL-ApoB in the effluent was also confirmed by ELISA assay. These results suggest that this filtration method is a simple and promising pretreatment for use with the SH-SAW biosensor as a rapid in vitro diagnostic (IVD) method for predicting sd-LDL concentrations. Overall, we propose a very sensitive and specific SH-SAW biosensor with the ApoB antibody in its sensitive region to monitor sd-LDL levels by employing a simple delay-time phase shifted SH-SAW device. In conclusion, based on the demonstration of our study, the SH-SAW biosensor could be a strong candidate for the future measurement of sd-LDL.
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Affiliation(s)
- Tai-Hua Chou
- Biotechnology Industry Master and PhD Program, Chang Gung University, Taoyuan 33302, Taiwan; (T.-H.C.); (G.-H.Y.)
| | - Chia-Hsuan Cheng
- Graduate School of Science and Technology, Shizuoka University, 3-5-1 Johoku, Naka-ku, Hamamatsu-shi 432-8561, Japan;
- tst Biomedical Electronics Co., Ltd., Taoyuan 324403, Taiwan
| | - Chi-Jen Lo
- Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 33302, Taiwan;
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital, Taoyuan 33302, Taiwan
| | - Guang-Huar Young
- Biotechnology Industry Master and PhD Program, Chang Gung University, Taoyuan 33302, Taiwan; (T.-H.C.); (G.-H.Y.)
- Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
| | - Szu-Heng Liu
- Biotechnology Industry Master and PhD Program, Chang Gung University, Taoyuan 33302, Taiwan; (T.-H.C.); (G.-H.Y.)
- tst Biomedical Electronics Co., Ltd., Taoyuan 324403, Taiwan
| | - Robert Y-L Wang
- Biotechnology Industry Master and PhD Program, Chang Gung University, Taoyuan 33302, Taiwan; (T.-H.C.); (G.-H.Y.)
- Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Memorial and Children’s Hospital, Linkou 33305, Taiwan
- Kidney Research Center and Department of Nephrology, Chang Gung Memorial Hospital, Linkou 33305, Taiwan
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Yi M, Cruz Cisneros L, Cho EJ, Alexander M, Kimelman FA, Swentek L, Ferrey A, Tantisattamo E, Ichii H. Nrf2 Pathway and Oxidative Stress as a Common Target for Treatment of Diabetes and Its Comorbidities. Int J Mol Sci 2024; 25:821. [PMID: 38255895 PMCID: PMC10815857 DOI: 10.3390/ijms25020821] [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: 11/29/2023] [Revised: 12/27/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024] Open
Abstract
Diabetes is a chronic disease that induces many comorbidities, including cardiovascular disease, nephropathy, and liver damage. Many mechanisms have been suggested as to how diabetes leads to these comorbidities, of which increased oxidative stress in diabetic patients has been strongly implicated. Limited knowledge of antioxidative antidiabetic drugs and substances that can address diabetic comorbidities through the nuclear factor erythroid 2-related factor 2 (Nrf2) pathway calls for detailed investigation. This review will describe how diabetes increases oxidative stress, the general impact of that oxidative stress, and how oxidative stress primarily contributes to diabetic comorbidities. It will also address how treatments for diabetes, especially focusing on their effects on the Nrf2 antioxidative pathway, have been shown to similarly affect the Nrf2 pathway of the heart, kidney, and liver systems. This review demonstrates that the Nrf2 pathway is a common pathogenic component of diabetes and its associated comorbidities, potentially identifying this pathway as a target to guide future treatments.
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Affiliation(s)
- Michelle Yi
- Department of Surgery, University of California Irvine, Irvine, CA 92697, USA; (M.Y.); (L.C.C.); (E.J.C.); (M.A.); (F.A.K.); (L.S.)
| | - Leslie Cruz Cisneros
- Department of Surgery, University of California Irvine, Irvine, CA 92697, USA; (M.Y.); (L.C.C.); (E.J.C.); (M.A.); (F.A.K.); (L.S.)
| | - Eric J. Cho
- Department of Surgery, University of California Irvine, Irvine, CA 92697, USA; (M.Y.); (L.C.C.); (E.J.C.); (M.A.); (F.A.K.); (L.S.)
| | - Michael Alexander
- Department of Surgery, University of California Irvine, Irvine, CA 92697, USA; (M.Y.); (L.C.C.); (E.J.C.); (M.A.); (F.A.K.); (L.S.)
| | - Francesca A. Kimelman
- Department of Surgery, University of California Irvine, Irvine, CA 92697, USA; (M.Y.); (L.C.C.); (E.J.C.); (M.A.); (F.A.K.); (L.S.)
| | - Lourdes Swentek
- Department of Surgery, University of California Irvine, Irvine, CA 92697, USA; (M.Y.); (L.C.C.); (E.J.C.); (M.A.); (F.A.K.); (L.S.)
| | - Antoney Ferrey
- Department of Medicine, University of California Irvine, Irvine, CA 92697, USA; (A.F.); (E.T.)
| | - Ekamol Tantisattamo
- Department of Medicine, University of California Irvine, Irvine, CA 92697, USA; (A.F.); (E.T.)
| | - Hirohito Ichii
- Department of Surgery, University of California Irvine, Irvine, CA 92697, USA; (M.Y.); (L.C.C.); (E.J.C.); (M.A.); (F.A.K.); (L.S.)
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Pirillo A, Catapano AL. How to Handle Elevated Triglycerides: Life after PROMINENT. Curr Atheroscler Rep 2023; 25:921-929. [PMID: 38114852 DOI: 10.1007/s11883-023-01175-2] [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] [Accepted: 11/18/2023] [Indexed: 12/21/2023]
Abstract
PURPOSE OF REVIEW Hypertriglyceridaemia (HTG) is a common condition characterised by elevated levels of plasma triglycerides (TG), which are transported in the blood mainly by TG-rich lipoproteins (TRL). Elevated TG levels (150-400 mg/dL) are associated with increased cardiovascular risk. Severe HTG (>880 mg/dL) is associated with a risk of acute pancreatitis only. Randomised clinical trials investigating the clinical benefit of TG-lowering drugs in patients with elevated TG levels have provided conflicting results. RECENT FINDINGS Elevated TG levels are only one marker of altered lipid/lipoprotein metabolism and indeed reflect altered concentrations of one or more classes or subfractions of TRL, which in turn may have a different association with CV risk. Fibrates, the drugs most commonly used to treat HTG, provide cardiovascular benefits to only a specific subgroup of patients. The lack of clinical benefit from pemafibrate has emphasised the concept that lowering TG levels is not sufficient to reduce the CV risk unless it is accompanied by a reduction in the number of circulating atherogenic lipoproteins, which can be assessed by determining apolipoprotein B levels. Treatment with omega-3 fatty acids was also ineffective in reducing CV risk, with the exception of icosapent ethyl, which, however, appears to have beneficial effects beyond lipids. New drugs are currently being developed that aim to lower TG levels by targeting apolipoprotein C-III or angiopoietin-like-3, both of which are involved in the metabolism of TGs. TG reduction can be achieved by various drugs, but most of them are ineffective in reducing CV risk. The results of outcome studies on new TG-lowering drugs will clarify whether lowering apoB levels is critical to achieve clinical benefit.
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Affiliation(s)
- Angela Pirillo
- Center for the Study of Atherosclerosis, E. Bassini Hospital, Cinisello Balsamo, Milan, Italy
| | - Alberico L Catapano
- IRCCS MultiMedica, Sesto S. Giovanni, Milan, Italy.
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy.
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Xue C, Chen K, Gao Z, Bao T, Dong L, Zhao L, Tong X, Li X. Common mechanisms underlying diabetic vascular complications: focus on the interaction of metabolic disorders, immuno-inflammation, and endothelial dysfunction. Cell Commun Signal 2023; 21:298. [PMID: 37904236 PMCID: PMC10614351 DOI: 10.1186/s12964-022-01016-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 12/11/2022] [Indexed: 11/01/2023] Open
Abstract
Diabetic vascular complications (DVCs), including macro- and micro- angiopathy, account for a high percentage of mortality in patients with diabetes mellitus (DM). Endothelial dysfunction is the initial and role step for the pathogenesis of DVCs. Hyperglycemia and lipid metabolism disorders contribute to endothelial dysfunction via direct injury of metabolism products, crosstalk between immunity and inflammation, as well as related interaction network. Although physiological and phenotypic differences support their specified changes in different targeted organs, there are still several common mechanisms underlying DVCs. Also, inhibitors of these common mechanisms may decrease the incidence of DVCs effectively. Thus, this review may provide new insights into the possible measures for the secondary prevention of DM. And we discussed the current limitations of those present preventive measures in DVCs research. Video Abstract.
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Affiliation(s)
- Chongxiang Xue
- Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 BeiXianGe Street, Xicheng District, Beijing, 100053, China
- Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Keyu Chen
- Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 BeiXianGe Street, Xicheng District, Beijing, 100053, China
- Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Zezheng Gao
- Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 BeiXianGe Street, Xicheng District, Beijing, 100053, China
- Department of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Tingting Bao
- Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 BeiXianGe Street, Xicheng District, Beijing, 100053, China
- Beijing University of Chinese Medicine, Beijing, 100029, China
| | - LiShuo Dong
- Changchun University of Traditional Chinese Medicine, Changchun, 130117, China
| | - Linhua Zhao
- Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 BeiXianGe Street, Xicheng District, Beijing, 100053, China.
| | - Xiaolin Tong
- Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 BeiXianGe Street, Xicheng District, Beijing, 100053, China.
| | - Xiuyang Li
- Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 BeiXianGe Street, Xicheng District, Beijing, 100053, China.
- Department of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
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Cui K, Yin D, Song W, Wang H, Zhu C, Feng L, Li J, Jia L, Lu Y, Zhang R, Shi B, Song Y, Fu R, Dou K. The prognostic effect of prediabetes defined by different criteria in patients with stable coronary artery disease: a prospective cohort study in Asia. Eur J Prev Cardiol 2023; 30:1418-1426. [PMID: 36987575 DOI: 10.1093/eurjpc/zwad095] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 03/10/2023] [Accepted: 03/24/2023] [Indexed: 03/30/2023]
Abstract
AIMS To evaluate the impact of prediabetes identified by different glycemic thresholds (according to ADA or WHO/IEC criteria) and diagnostic tests (fasting plasma glucose [FPG] or hemoglobin A1c [HbA1c]) on clinical outcomes in patients with stable coronary artery disease (CAD). METHODS AND RESULTS In this prospective cohort study, we consecutively enrolled 4088 stable CAD non-diabetic patients with a median follow-up period of 3.2 years. Prediabetes was defined according to ADA criteria as FPG 5.6∼6.9 mmol/L and/or HbA1c 5.7∼6.4%, and WHO/IEC criteria as FPG 6.1∼6.9 mmol/L and/or HbA1c 6.0∼6.4%. The primary endpoint was major adverse cardiovascular event (MACE), including all-cause death, myocardial infarction, or stroke. The prevalence of prediabetes defined according to ADA criteria (67%) was double that of WHO/IEC criteria (34%). Compared with patients with normoglycaemia, those with WHO/IEC-defined prediabetes were significantly associated with higher risk of MACE [adjusted hazard ratio (HR) 1.50, 95% confidence interval (CI) 1.10-2.06], mainly driven by the higher incidence of events in individuals with HbA1c-defined prediabetes. However, this difference was not found in patients with ADA-defined prediabetes and normoglycaemia (adjusted HR 1.17, 95% CI 0.81-1.68). Although FPG was not associated with cardiovascular events, HbA1c improved the risk prediction for MACE in a model of traditional risk factors. Furthermore, the optimal cutoff value of HbA1c for predicting MACE was 5.85%, which was close to the threshold recommended by IEC. CONCLUSION This study supports the use of WHO/IEC criteria for the identification of prediabetes in stable CAD patients. Haemoglobin A1c, rather than FPG, should be considered as a useful marker for risk stratification in this population. REGISTRATION Not applicable.
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Affiliation(s)
- Kongyong Cui
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Dong Yin
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Weihua Song
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Hongjian Wang
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Chenggang Zhu
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Lei Feng
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Jianjun Li
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Lei Jia
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Ye Lu
- Medical Research & Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rui Zhang
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Boqun Shi
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Yanjun Song
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Rui Fu
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Kefei Dou
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
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10
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Xiao L, Zhang K, Wang F, Wang M, Huang Q, Wei C, Gou Z. The LDL-C/ApoB ratio predicts cardiovascular and all-cause mortality in the general population. Lipids Health Dis 2023; 22:104. [PMID: 37480052 PMCID: PMC10362700 DOI: 10.1186/s12944-023-01869-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 07/05/2023] [Indexed: 07/23/2023] Open
Abstract
BACKGROUND Generally, low-density lipoprotein (LDL) particle size can be inferred from the LDL cholesterol concentration to total apolipoprotein B concentration ratio (LDL-C/ApoB ratio, hereinafter called LAR), which is a good predictor of cardiovascular disease. However, the predictive ability of LAR for mortality risk in the general population is still unclear. This study aimed to explore the association between LAR and cardiovascular as well as all-cause mortality among American adults. METHODS The present study was a secondary analysis of existing data from the National Health and Nutrition Examination Survey (NHANES). The final analysis included 12,440 participants from 2005 to 2014. Survival differences between groups were visualized using Kaplan‒Meier curves and the log-rank test. The association of LAR with cardiovascular and all-cause mortality was evaluated using multivariate Cox regression and restricted cubic spline analysis. Age, sex, coronary artery disease, diabetes, lipid-lowering medication use and hypertriglyceridemia were analyzed in subgroup analyses. RESULTS The median age in the study cohort was 46.0 years [interquartile range (IQR): 31.0-62.0], and 6,034 (48.5%) participants were male. During the follow-up period, there were 872 (7.0%) all-cause deaths and 150 (1.2%) cardiovascular deaths. Compared with individuals without cardiovascular events, those who experienced cardiovascular deaths had a lower LAR (1.13 vs. 1.25) (P < 0.001). The adjusted Cox regression model indicated that lower LAR was an independent risk factor for both cardiovascular [hazard ratio (HR) = 0.304, 95% confidence interval (CI): 0.114-0.812] and all-cause mortality (HR = 0.408, 95% CI: 0.270-0.617). Moreover, a significant age interaction was observed (P for interaction < 0.05), and there was a strong association between LAR and mortality among participants over 65 years of age. Further analysis showed an inverse association between LAR and both cardiovascular and all-cause mortality. CONCLUSIONS LAR can independently predict cardiovascular and all-cause mortality in the general population.
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Affiliation(s)
- Li Xiao
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China
| | - Kerui Zhang
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China
| | - Fang Wang
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China
| | - Min Wang
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China
| | - Qingxia Huang
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China
| | - Chenchen Wei
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China.
| | - Zhongshan Gou
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China.
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11
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Yao X, Zhang J, Zhang X, Jiang T, Zhang Y, Dai F, Hu H, Zhang Q. Age at diagnosis, diabetes duration and the risk of cardiovascular disease in patients with diabetes mellitus: a cross-sectional study. Front Endocrinol (Lausanne) 2023; 14:1131395. [PMID: 37223032 PMCID: PMC10200881 DOI: 10.3389/fendo.2023.1131395] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Accepted: 04/17/2023] [Indexed: 05/25/2023] Open
Abstract
Background The purpose of the study was to evaluate characteristics and risk of cardiovascular disease (CVD) according to age at diagnosis and disease duration among adults with diabetes mellitus (DM). Methods The association between age at diagnosis, diabetes duration and CVD were examined in 1,765 patients with DM. High risk of estimated ten-year atherosclerotic cardiovascular disease (ASCVD) was performed by the Prediction for ASCVD Risk in China (China-PAR) project. Data were compared with analysis of variance and χ2 test, respectively. Multiple logistic regression was used to determine the risk factors of CVD. Results The mean age at diagnosis (± standard deviation) was 52.91 ± 10.25 years and diabetes duration was 8.06 ± 5.66 years. Subjects were divided into early-onset DM group (≤43 years), late-onset DM group (44 to 59 years), elderly-onset DM group (≥60 years) according to age at diagnosis. Diabetes duration was classified by 5 years. Both early-onset and longest diabetes duration (>15 years) had prominent hyperglycaemia. Diabetes duration was associated with the risk of ischemic stroke (odds ratio (OR), 1.091) and coronary artery disease (OR, 1.080). Early-onset group (OR, 2.323), and late-onset group (OR, 5.199), and hypertension (OR, 2.729) were associated with the risk of ischemic stroke. Late-onset group (OR, 5.001), disease duration (OR, 1.080), and hypertension (OR, 2.015) and hyperlipidemia (OR, 1.527) might increase the risk of coronary artery disease. Aged over 65 (OR, 10.192), central obesity (OR, 1.992), hypertension (OR, 18.816), cardiovascular drugs (OR, 5.184), antihypertensive drugs (OR, 2.780), and participants with disease duration >15 years (OR, 1.976) were associated with the high risk of estimated ten-year ASCVD in participants with DM. Conclusion Age at diagnosis, diabetes duration, hypertension and hyperlipidemia were independent risks of CVD. Longest (>15 years) diabetes duration increased the high risk of ten-year ASCVD prediction among Chinese patients with DM. It's urgent to emphasize the importance of age at diagnosis and diabetes duration to improve primary complication of diabetes.
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Affiliation(s)
| | | | | | | | | | | | - Honglin Hu
- *Correspondence: Honglin Hu, ; Qiu Zhang,
| | - Qiu Zhang
- *Correspondence: Honglin Hu, ; Qiu Zhang,
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12
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Samson SL, Vellanki P, Blonde L, Christofides EA, Galindo RJ, Hirsch IB, Isaacs SD, Izuora KE, Low Wang CC, Twining CL, Umpierrez GE, Valencia WM. American Association of Clinical Endocrinology Consensus Statement: Comprehensive Type 2 Diabetes Management Algorithm - 2023 Update. Endocr Pract 2023; 29:305-340. [PMID: 37150579 DOI: 10.1016/j.eprac.2023.02.001] [Citation(s) in RCA: 48] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/31/2023] [Accepted: 02/06/2023] [Indexed: 05/09/2023]
Abstract
OBJECTIVE This consensus statement provides (1) visual guidance in concise graphic algorithms to assist with clinical decision-making of health care professionals in the management of persons with type 2 diabetes mellitus to improve patient care and (2) a summary of details to support the visual guidance found in each algorithm. METHODS The American Association of Clinical Endocrinology (AACE) selected a task force of medical experts who updated the 2020 AACE Comprehensive Type 2 Diabetes Management Algorithm based on the 2022 AACE Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan and consensus of task force authors. RESULTS This algorithm for management of persons with type 2 diabetes includes 11 distinct sections: (1) Principles for the Management of Type 2 Diabetes; (2) Complications-Centric Model for the Care of Persons with Overweight/Obesity; (3) Prediabetes Algorithm; (4) Atherosclerotic Cardiovascular Disease Risk Reduction Algorithm: Dyslipidemia; (5) Atherosclerotic Cardiovascular Disease Risk Reduction Algorithm: Hypertension; (6) Complications-Centric Algorithm for Glycemic Control; (7) Glucose-Centric Algorithm for Glycemic Control; (8) Algorithm for Adding/Intensifying Insulin; (9) Profiles of Antihyperglycemic Medications; (10) Profiles of Weight-Loss Medications (new); and (11) Vaccine Recommendations for Persons with Diabetes Mellitus (new), which summarizes recommendations from the Advisory Committee on Immunization Practices of the U.S. Centers for Disease Control and Prevention. CONCLUSIONS Aligning with the 2022 AACE diabetes guideline update, this 2023 diabetes algorithm update emphasizes lifestyle modification and treatment of overweight/obesity as key pillars in the management of prediabetes and diabetes mellitus and highlights the importance of appropriate management of atherosclerotic risk factors of dyslipidemia and hypertension. One notable new theme is an emphasis on a complication-centric approach, beyond glucose levels, to frame decisions regarding first-line pharmacologic choices for the treatment of persons with diabetes. The algorithm also includes access/cost of medications as factors related to health equity to consider in clinical decision-making.
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Affiliation(s)
- Susan L Samson
- Chair of Task Force; Chair of the Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Mayo Clinic, Jacksonville, Florida
| | - Priyathama Vellanki
- Vice Chair of Task Force; Associate Professor of Medicine, Department of Medicine, Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Emory University; Section Chief, Endocrinology, Grady Memorial Hospital, Atlanta, Georgia
| | - Lawrence Blonde
- Director, Ochsner Diabetes Clinical Research Unit, Frank Riddick Diabetes Institute, Department of Endocrinology, Ochsner Health, New Orleans, Louisiana
| | | | - Rodolfo J Galindo
- Associate Professor of Medicine, University of Miami Miller School of Medicine; Director, Comprehensive Diabetes Center, Lennar Medical Center, UMiami Health System; Director, Diabetes Management, Jackson Memorial Health System, Miami, Florida
| | - Irl B Hirsch
- Professor of Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington
| | - Scott D Isaacs
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Kenneth E Izuora
- Associate Professor, Department of Internal Medicine, Endocrinology, Kirk Kerkorian School of Medicine, University of Nevada Las Vegas, Las Vegas, Nevada
| | - Cecilia C Low Wang
- Professor of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Christine L Twining
- Endocrinology, Diabetes and Metabolism, Maine Medical Center, Maine Health, Scarborough, Maine
| | - Guillermo E Umpierrez
- Professor of Medicine, Emory University School of Medicine, Division of Endocrinology, Metabolism; Chief of Diabetes and Endocrinology, Grady Health Systems, Atlanta, Georgia
| | - Willy Marcos Valencia
- Endocrinology and Metabolism Institute, Center for Geriatric Medicine, Cleveland Clinic, Cleveland, Ohio
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Sorokin AV, Patel N, Li H, Hong CG, Sampson M, O'Hagan R, Florida EM, Teague HL, Playford MP, Chen MY, Mehta NN, Remaley AT. Estimated sdLDL-C for predicting high-risk coronary plaque features in psoriasis: a prospective observational study. Lipids Health Dis 2023; 22:55. [PMID: 37106374 PMCID: PMC10134516 DOI: 10.1186/s12944-023-01819-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 04/21/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND Psoriasis (PSO) is a skin disorder with systemic inflammation and high coronary artery disease risk. A distinct lipid phenotype occurs in psoriasis, which is characterized by high plasma triglycerides (TGs) with typically normal or even low LDL-C. The extent to which cholesterol on LDL subfractions, such as small dense LDL-C (sdLDL-C), are associated with vulnerable coronary plaque characteristics in PSO remains elusive. METHODS A recently developed equation for estimating sdLDL-C from the standard lipid panel was utilized in a PSO cohort (n = 200) with 4-year follow-up of 75 subjects. Coronary plaque burden was assessed by quantitative coronary computed tomography angiography (CCTA). Multivariate regression analyses were used for establishing associations and prognostic value of estimated sdLDL-C. RESULTS Estimated sdLDL-C was positively associated with non-calcified burden (NCB) and fibro-fatty burden (FFB), which remained significant after multivariate adjustment for NCB (β = 0.37; P = 0.050) and LDL-C adjustment for FFB (β = 0.29; P < 0.0001). Of note, total LDL-C calculated by the Friedewald equation was not able to capture these associations in the study cohort. Moreover, in the regression modelling estimated sdLDL-C was significantly predicting necrotic burden progression over 4 years follow-up (P = 0.015), whereas LDL-C did not. Finally, small LDL particles (S-LDLP) and small HDL particles (S-HDLP), along with large and medium TG-rich lipoproteins (TRLPs) had the most significant positive correlation with estimated sdLDL-C. CONCLUSIONS Estimated sdLDL-C has a stronger association than LDL-C with high-risk features of coronary atherosclerotic plaques in psoriasis patients. CLINICAL TRIAL REGISTRATION URL: https://www. CLINICALTRIALS gov . Unique identifiers: NCT01778569.
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Affiliation(s)
- Alexander V Sorokin
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA.
| | - Nidhi Patel
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Haiou Li
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Christin G Hong
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Maureen Sampson
- Section of Lipoprotein Metabolism, Translational Vascular Medicine Branch, Lung and Blood Institute, National Heart, National Institutes of Health, Bethesda, MD, USA
| | - Ross O'Hagan
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Elizabeth M Florida
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Heather L Teague
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Martin P Playford
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Marcus Y Chen
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Nehal N Mehta
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Alan T Remaley
- Section of Lipoprotein Metabolism, Translational Vascular Medicine Branch, Lung and Blood Institute, National Heart, National Institutes of Health, Bethesda, MD, USA
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14
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Otrante A, Bounafaa A, Berrougui H, Essamadi AK, Nguyen M, Fülöp T, Khalil A. Small Dense LDL Level and LDL/HDL Distribution in Acute Coronary Syndrome Patients. Biomedicines 2023; 11:biomedicines11041198. [PMID: 37189816 DOI: 10.3390/biomedicines11041198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/06/2023] [Accepted: 04/14/2023] [Indexed: 05/17/2023] Open
Abstract
This study aimed to determine the size and distribution of LDL and HDL particles in North African acute coronary syndrome (ACS) patients and to compare the level of small dense LDL (sdLDL) to other markers used in cardiovascular risk prediction. METHODS A total of 205 ACS patients and 100 healthy control subjects were enrolled. LDL particle size and LDL and HDL subclass distributions were measured using Quantimetric Lipoprint® linear polyacrylamide gel electrophoresis. Lipid ratios (total cholesterol, LDL cholesterol, non-HDL cholesterol, and HDL cholesterol) were determined to calculate the atherogenic index of plasma (AIP), the atherogenic coefficient (AC), Castelli's Risk-I (CR-I), and Castelli's Risk-II (CR-II). Receiver operating characteristic (ROC) curve analyses and area under the curve (AUC) were used to assess the predictive value of sdLDL as a marker for cardiovascular disease. RESULTS The ACS patients, compared to the healthy control subjects, displayed an alteration of LDL particle distribution, with a significant increase in sdLDL serum concentrations (0.303 ± 0.478 mmol/L vs. 0.0225 ± 0.043 mmol/L, respectively, p < 0.001). The sdLDL levels had a high discrimination accuracy [AUC = 0.847 ± 0.0353 (95% CI 0.778 to 0.916, p < 0.0001)]. The best predictive cutoff value of ACS determined with the maximum Youden index (J) [(sensitivity + specificity) - 1 = 0.60] was 0.038 mmol/L. A Spearman correlation analysis showed that sdLDL levels were moderately but significantly and positively correlated with AC and CR-I (r = 0.37, p < 0.001) and weakly but significantly correlated with PAI and CR-II; r = 0.32 (p < 0.001) and r = 0.30 (p < 0.008), respectively. The subclass distribution of HDL particles from ACS patients was also altered, with a decrease in large HDL particles and an increase in small HDL particles compared to HDL from healthy control subjects. CONCLUSION Due to their high atherogenicity, sdLDL levels could be used as a valuable marker for the prediction cardiovascular events.
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Affiliation(s)
- Alyann Otrante
- Geriatrics Unit, Department of Medicine, Faculty of Medicine and Biological Sciences, University of Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
| | - Abdelghani Bounafaa
- Geriatrics Unit, Department of Medicine, Faculty of Medicine and Biological Sciences, University of Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
- Laboratory of Biochemistry, Neuroscience, Natural Resources and Environment, Faculty of Sciences and Technology, Hassan First University of Settat, Settat 26002, Morocco
| | - Hicham Berrougui
- Geriatrics Unit, Department of Medicine, Faculty of Medicine and Biological Sciences, University of Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
- Department of Biology, Polydisciplinary Faculty, Sultan Moulay Sliman University, Beni-Mellal 23000, Morocco
| | - Abdel-Khalid Essamadi
- Laboratory of Biochemistry, Neuroscience, Natural Resources and Environment, Faculty of Sciences and Technology, Hassan First University of Settat, Settat 26002, Morocco
| | - Michel Nguyen
- Cardiology Unit, Department of Medicine, Faculty of Medicine and Biological Sciences, University of Sherbrooke, Sherbrooke, QC J1H 4N4, Canada
| | - Tamàs Fülöp
- Geriatrics Unit, Department of Medicine, Faculty of Medicine and Biological Sciences, University of Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
| | - Abdelouahed Khalil
- Geriatrics Unit, Department of Medicine, Faculty of Medicine and Biological Sciences, University of Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
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15
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Hadjari M, Bereksi K. Lipid Profile, Renal Function Tests and Inflammatory Markers in Algerian Type 2 Diabetic Patients. IRANIAN JOURNAL OF PUBLIC HEALTH 2023; 52:732-740. [PMID: 37551187 PMCID: PMC10404330 DOI: 10.18502/ijph.v52i4.12441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 04/14/2022] [Indexed: 08/09/2023]
Abstract
Background Several studies show the relationship between chronic hyperglycemia and the appearance of macroangiopathy, microangiopathy and neuropathy. The major objective of this study was to investigate the serum lipids, renal function tests and inflammatory markersin type 2 diabetes patients. Methods The study lasted eight years between Feb-2013 and Mar-2021 (Mascara, Algeria). Overall,197 patients and 197 controls were selected during general medicine examinations; enzymatic and immunoturbidimetric colorimetric methods were used to determine the serum levels offasting glycaemia, total cholesterol, highdensity lipoprotein cholesterol, triglycerides, low-density lipoprotein cholesterol, fibrinogen, urea, acid uric, albumin and creatinine, C protein reactive; the glomerular filtration rate is calculated according to the MDRD equation; the glycatedhaemoglobin levels were determined by an ion-exchange resin separation method. Results Patients had 2.44 times higher fasting glycaemia, 1.71 times higher HbA1c, 1.23 times higher body mass index, 1.30 times higher waist circumference and 1.25times higher systolic blood pressure than control subjects; the findings of the present study also indicate that a significant differences between patients and controls were observed regarding triglycerides (P=0.008), LDL-cholesterol (P=0.011), HDL-cholesterol (P=0.009), urea (P=0.013), uric acid (P=0.015), creatinine (P=0.007), glomerular filtration rate (P=0.006), albumin (P=0.018), fibrinogen (P=0.023) and C protein reactive (P=0.019). Conclusion All this metabolic disordercould facilitate the appearance of serious complications in future.
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Affiliation(s)
- Mohammed Hadjari
- Department of Biology, Faculty of Nature and Life, University of Mascara, Mascara, Algeria
| | - Karima Bereksi
- Department of Biology, Faculty of Sciences, Djilali Liabes University of Sidi-Bel-Abbès, Sidi-Bel-Abbès, Algeria
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16
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Fratta Pasini AM, Stranieri C, Busti F, Di Leo EG, Girelli D, Cominacini L. New Insights into the Role of Ferroptosis in Cardiovascular Diseases. Cells 2023; 12:cells12060867. [PMID: 36980208 PMCID: PMC10047059 DOI: 10.3390/cells12060867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/14/2023] Open
Abstract
Cardiovascular diseases (CVDs) are the principal cause of disease burden and death worldwide. Ferroptosis is a new form of regulated cell death mainly characterized by altered iron metabolism, increased polyunsaturated fatty acid peroxidation by reactive oxygen species, depletion of glutathione and inactivation of glutathione peroxidase 4. Recently, a series of studies have indicated that ferroptosis is involved in the death of cardiac and vascular cells and has a key impact on the mechanisms leading to CVDs such as ischemic heart disease, ischemia/reperfusion injury, cardiomyopathies, and heart failure. In this article, we reviewed the molecular mechanism of ferroptosis and the current understanding of the pathophysiological role of ferroptosis in ischemic heart disease and in some cardiomyopathies. Moreover, the comprehension of the machinery governing ferroptosis in vascular cells and cardiomyocytes may provide new insights into preventive and therapeutic strategies in CVDs.
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Prognostic Implication of Small Dense LDL-Cholesterol Levels following Acute Coronary Syndrome. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59010158. [PMID: 36676782 PMCID: PMC9861894 DOI: 10.3390/medicina59010158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 01/15/2023]
Abstract
Background and Objectives: Small dense LDL cholesterol is a strong risk factor for atherosclerosis. However, few studies have investigated the impacts of this specific lipid profile on the incident risk of adverse cardiovascular events in patients with acute coronary syndrome. Materials and Methods: Patients with acute coronary syndrome, who underwent revascularization, were included and followed for 2 years. The levels of small dense LDL cholesterol were measured at index discharge (day 0) in the setting of newly administered therapies for secondary prevention, including aspirin and statins, during the index hospitalization. The prognostic impact of small dense LDL-cholesterol levels on the risk of a primary composite endpoint, including cardiac death, non-fatal myocardial infarction, unstable angina pectoris, stroke, and heart failure, was investigated. Results: In total, 46 patients (median 75 (59, 83) years old, 63% men) were included. Median small dense LDL cholesterol was 19.4 (13.5, 23.8) mg/dL at index discharge. All patients initiated statin treatment before the index discharge, with a median LDL-cholesterol level of 77 (64, 109) mg/dL. Small dense LDL-cholesterol level was independently associated with an incremental risk for the primary endpoint (p < 0.05 by adjusting for several potential risk factors, including LDL cholesterol) with a cutoff of 32.6 mg/dL. Conclusions: Small dense LDL-cholesterol level was a significant risk factor for cardiovascular events following presentations of acute coronary syndrome.
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18
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Chang CH, Yeh ST, Ooi SW, Li CY, Chen HF. The relationship of low-density lipoprotein cholesterol and all-cause or cardiovascular mortality in patients with type 2 diabetes: a retrospective study. PeerJ 2023; 11:e14609. [PMID: 36643628 PMCID: PMC9835695 DOI: 10.7717/peerj.14609] [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: 08/10/2022] [Accepted: 11/30/2022] [Indexed: 01/11/2023] Open
Abstract
Background The optimal levels of low-density lipoprotein cholesterol (LDL-C) in patients with type 2 diabetes (T2D) are not currently clear. In this study, we determined the relationship between various mean LDL-C and all-cause or cardiovascular mortality risks in patients with T2D, stratifying by albumin level, age, sex, and antilipid medication use. We also evaluated the association of LDL-C standard deviation (LDL-C-SD) and all-cause and cardiovascular mortality by type of antilipid medication use. Methods A total of 46,675 T2D patients with a prescription for antidiabetic agents >6 months from outpatient visits (2003-2018) were linked to Taiwan's National Death Registry to identify all-cause and cardiovascular mortality. The Poisson assumption was used to estimate mortality rates, and the Cox proportional hazard regression model was used to assess the relative hazards of respective mortality in relation to mean LDL-C in patient cohorts by albumin level, age, sex, and antilipid use adjusting for medications, comorbidities, and laboratory results. We also determined the overall, and anti-lipid-specific mortality rates and relative hazards of all-cause and cardiovascular mortality associated with LDL-C-SD using the Poisson assumption and Cox proportional hazard regression model, respectively. Results All-cause and cardiovascular mortality rates were the lowest in T2D patients with a mean LDL-C > 90-103.59 mg/dL in the normal albumin group (≥ 3.5 g/dL). Compared to T2D patients with a mean LDL-C > 90-103.59 mg/dL, those with a mean LDL-C ≤ 77 mg/dL had an elevated risk of all-cause mortality in both the normal and lower albumin groups. T2D patients with a mean LDL-C ≤ 90 and > 103.59-119 mg/dL had relatively higher risk of cardiovascular mortality in the normal albumin group, but in the lower albumin group (<3.5 g/dL), any level of mean LDL-C ≤ 119 mg/dL was not significantly associated with cardiovascular mortality. Increased risks of all-cause and cardiovascular mortality were observed in patients with a mean LDL-C ≤ 77 mg/dL in both sexes and in all age groups except in those aged <50 years, a lower mean LDL-C was not associated with cardiovascular mortality. Similarly, patients with an LDL-C-SD <10th and > 90th percentiles were associated with significant risks of all-cause and cardiovascular mortality. In statin users, but not fibrate users, lower and higher levels of mean LDL-C and LDL-C-SD were both associated with elevated risks of all-cause and cardiovascular mortality. Conclusions The optimal level of LDL-C was found to be >90-103.59 mg/dL in T2D patients. Lower and higher levels of mean LDL-C and LDL-C-SD were associated with all-cause and cardiovascular mortality, revealing U-shaped associations. Further studies are necessary to validate the relationship between optimal LDL-C levels and all-cause and cardiovascular mortality in patients with diabetes.
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Affiliation(s)
- Chin-Huan Chang
- Department of Endocrinology, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Shu-Tin Yeh
- Department of Endocrinology, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Seng-Wei Ooi
- Department of Endocrinology, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Chung-Yi Li
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan City, Taiwan,Department of Public Health, College of Public Health, China Medical University, Taichung City, Taiwan,Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung City, Taiwan
| | - Hua-Fen Chen
- Department of Endocrinology, Far Eastern Memorial Hospital, New Taipei City, Taiwan,School of Medicine and Department of Public Health, College of Medicine, Fujen Catholic University, New Taipei City, Taiwan
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Jung HW, Ra M, Bae HJ, Hong SP. The LDL-C/Apo B predicts coronary atherosclerotic heart disease in non-diabetic patients without high LDL-C. Medicine (Baltimore) 2023; 102:e32596. [PMID: 36607865 PMCID: PMC9829249 DOI: 10.1097/md.0000000000032596] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
The apolipoprotein B (Apo B), Apo B/A1 ratio, lipoprotein (a), and low-density lipoprotein cholesterol (LDL-C)/Apo B ratio are associated with coronary artery disease (CAD). However, the association between these parameters and CAD in non-diabetic patients without high LDL-C levels is unclear. Our goal was to assess which parameter was most strongly associated with CAD in non-diabetic patients without high LDL-C levels. This study included 487 non-diabetic patients with LDL-C < 130.0 mg/dL. All the patients underwent coronary computed tomographic angiography. We assessed the significance of each continuous atherogenic biomarker for CAD (incidence of coronary plaque and revascularization) without and after adjustment for standard risk factors. The LDL-C/Apo B ratio and lipoprotein (a) were significant risk factors for the incidence of coronary plaque on multivariate analysis after adjustment for standard risk factors. The LDL-C/Apo B ratio was significant for the incidence of revascularization in multivariate analysis after adjustment for standard risk factors. The degree of coronary calcification and plaque burden according to the tertile of LDL-C/Apo B showed significant differences between the groups. Our data indicate that LDL-C/Apo B ratio is the most predictive parameter for coronary atherosclerosis in non-diabetic patients without high LDL-C levels.
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Affiliation(s)
- Hae Won Jung
- Department of Cardiology, Daegu Catholic University Medical Center, Daegu, Republic of Korea
| | - Moni Ra
- Department of Cardiology, Daegu Catholic University Medical Center, Daegu, Republic of Korea
| | - Han Joon Bae
- Department of Cardiology, Daegu Catholic University Medical Center, Daegu, Republic of Korea
| | - Seung-Pyo Hong
- Department of Cardiology, Daegu Catholic University Medical Center, Daegu, Republic of Korea
- * Correspondence: Seung-Pyo Hong, Department of Cardiology, Daegu Catholic University Medical Center, 33 Duryugongwonro 17-gil, Nam-gu, Daegu 42472, Republic of Korea (e-mail: )
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20
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Muacevic A, Adler JR, Mondal H. Small Dense Low-Density Lipoprotein Level in Newly Diagnosed Type 2 Diabetes Mellitus Patients With Normal Low-Density Lipoprotein. Cureus 2023; 15:e33924. [PMID: 36819362 PMCID: PMC9937031 DOI: 10.7759/cureus.33924] [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] [Accepted: 01/18/2023] [Indexed: 01/19/2023] Open
Abstract
Background and objective There are three subtypes of low-density lipoprotein (LDL): large buoyant (lb), intermediate, and small dense (sd). Among these LDL subtypes, small dense low-density lipoprotein (sdLDL) has been proven to be an independent risk factor for atherosclerosis. Type 2 diabetes mellitus (T2DM) encompasses several metabolic abnormalities and patients suffering from T2DM without good glycemic control are prone to develop atherosclerosis. Hence, in T2DM, it is recommended to evaluate blood lipids for early detection of hyperlipidemia to identify the risk. A larger percentage of sdLDL in T2DM patients with an optimal or near-optimal LDL level might be a hidden risk factor for atherosclerosis. Hence, we aimed to find the level of sdLDL cholesterol (sdLDL-C) among newly diagnosed T2DM patients with optimal or near-optimal blood lipids and to compare it with age and sex-matched controls. Materials and methods In this study, we enrolled newly diagnosed T2DM patients from the diabetic clinic of a tertiary care hospital. The patients were then tested for blood lipids, namely, total cholesterol, triglyceride, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol (LDL-C), including sdLDL-C. Then, age and sex-matched controls with similar baseline lipid levels to the T2DM group (without sdLDL-C) were recruited. After recruitment, both groups were measured for blood lipids including sdLDL-C in a single day. The level of sdLDL-C between the groups was tested statistically by the Mann-Whitney U test. Results A total of 50 T2DM patients with a median age of 36 years (Q1-Q3: 33.75-41) were included as the study group and 50 age and sex-matched controls with a median age of 34 years (32-37.25; p = 0.09) were recruited. The median fasting glucose was 165 (Q1-Q3: 145-199.25) mg/dL and 90.5 (Q1-Q3: 87.75-95.25) mg/dL (p < 0.0001) in the study and control groups, respectively. The LDL-C was 109.9 (Q1-Q3: 99.4-119.4) mg/dL and 108.5 (Q1-Q3: 87.55-124.1) mg/dL (p = 0.94) in the study and control groups, respectively. The sdLDL-C was 40.11 (Q1-Q3: 36.28-43.58) mg/dL and 24.64 (Q1-Q3: 22-32.49) mg/dL (p < 0.0001) in the study and control groups, respectively. Conclusion Newly diagnosed T2DM patients with blood lipids within an optimum or near-optimum level may have a higher percentage of sdLDL-C when compared with healthy controls. Hence, they may have a higher risk of atherosclerosis and cardiovascular diseases. Clinicians may miss the potential risks if they do not advise the sdLDL-C component of LDL-C while advising for the test for blood lipid.
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21
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Pradhan A, Kuka R, Vishwakarma P, Ali W, Perrone MA, Iellamo F, Chaudhary G, Chandra S, Sethi R, Dwivedi S, Narain V, Saran RK. Lipid Profile and Small Dense Low-Density Lipoprotein in Acute Coronary Syndrome Patients: Relationships to Demographic, Clinical, Angiographic, and Therapeutic Variables. J Clin Med 2022; 11:jcm11226846. [PMID: 36431323 PMCID: PMC9697552 DOI: 10.3390/jcm11226846] [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: 08/22/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 11/22/2022] Open
Abstract
Background: Several lines of evidence have supported small dense low-density lipoproteins (sd-LDL) as a marker of cardiovascular disease. The present study assessed the relationship between lipid profile and sd-LDL levels with demographic, clinical, angiographic, and therapeutic variables in acute coronary syndrome (ACS) patients. Methods: This was a single-centre, prospective, cross-sectional study conducted from September 2014 to September 2015. Patients with a diagnosis of ACS were included in this study. High-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were determined by direct homogenous assay and sd-LDL levels were calculated using an earlier described equation by Srisawadi et al. Results: A total of 200 patients with a diagnosis of ACS were studied. Males constituted 78% of the population cohort and almost 45% of participants were aged <45 years. Patients aged ≤45 years displayed higher mean sd-LDL levels of 30.40 ± 14.18 mg/dL versus patients aged >45 years with mean sd-LDL levels of 28.01 ± 11.58 mg/dL, but the difference was not statistically significant (p = 0.19). Females also displayed higher mean sd-LDL levels, but the difference also failed to achieve statistical significance (30.95 ± 13.44 mg/dL and 28.54 ± 12.64, respectively; p = 0.185). Diabetics had higher mean sd-LDL levels (33.64 ± 13.01 mg/dL and 28.07 ± 12.60 mg/dL; p = 0.273) whilst smokers had lower mean levels (27.21 ± 12.12 mg/dL and 30.51 ± 13.21 mg/dL, respectively; p = 0.071). However, the ratio of sd-LDL/lb-LDL (large buoyant LDL) was significantly higher in diabetics (0.48 vs. 0.39; p = 0.023). In the angiography cohort (n = 88), single-vessel disease was the most predominant overall while among patients aged >45 years, triple-vessel disease was significantly higher (p = 0.005). Similarly, the sd-LDL levels were 33.12 ± 11.13 mg/dL, 27.68 ± 9.80 mg/dL, and 31.65 ± 15.26 mg/dL among patients with single, double, and triple-vessel disease and did not differ significantly (p = 0.262). Prior statin users had significantly lower mean sd-LDL levels of 24.79 ± 12.23 mg/dL compared to statin-naïve patients with a mean sd-LDL of 30.01 ± 12.79 mg/dL (p = 0.027). Non-HDL levels were also significantly lower in prior statin users (112.83 mg/dL vs. 128.9 mg/dL; p = 0.017). Conclusion: In this cohort of ACS patients, age, sex, diabetes, smoking, and the angiographic severity of coronary artery disease had no significant impact on sd-LDL levels, while prior statin usage led to significantly lower sd-LDL levels. Diabetic patients, however, did have significantly higher sd-LDL/lb-LDL ratios.
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Affiliation(s)
- Akshyaya Pradhan
- Department of Cardiology, King George’s Medical University, Lucknow 226003, Uttar Pradesh, India
| | - Ravninder Kuka
- Department of Cardiology, SPS Hospital, Ludhiana 141001, Punjab, India
| | - Pravesh Vishwakarma
- Department of Cardiology, King George’s Medical University, Lucknow 226003, Uttar Pradesh, India
| | - Wahid Ali
- Department of Pathology, King George’s Medical University, Lucknow 226003, Uttar Pradesh, India
| | - Marco Alfonso Perrone
- Department of Cardiology and Cardio Lab, University of Rome Tor Vergata, 00133 Rome, Italy
- Correspondence:
| | - Ferdinando Iellamo
- Department of Cardiology and Cardio Lab, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Gaurav Chaudhary
- Department of Cardiology, King George’s Medical University, Lucknow 226003, Uttar Pradesh, India
| | - Sharad Chandra
- Department of Cardiology, King George’s Medical University, Lucknow 226003, Uttar Pradesh, India
| | - Rishi Sethi
- Department of Cardiology, King George’s Medical University, Lucknow 226003, Uttar Pradesh, India
| | - Sudhanshu Dwivedi
- Department of Cardiology, King George’s Medical University, Lucknow 226003, Uttar Pradesh, India
| | - Varun Narain
- Department of Cardiology, King George’s Medical University, Lucknow 226003, Uttar Pradesh, India
| | - R. K. Saran
- Department of Clinical & Preventive Cardiology, Medanta Hospital, Lucknow 226003, Uttar Pradesh, India
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22
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Yanai H, Adachi H, Hakoshima M, Katsuyama H. Atherogenic Lipoproteins for the Statin Residual Cardiovascular Disease Risk. Int J Mol Sci 2022; 23:ijms232113499. [PMID: 36362288 PMCID: PMC9657259 DOI: 10.3390/ijms232113499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/01/2022] [Accepted: 11/02/2022] [Indexed: 11/06/2022] Open
Abstract
Randomized controlled trials (RCTs) show that decreases in low-density lipoprotein cholesterol (LDL-C) by the use of statins cause a significant reduction in the development of cardiovascular disease (CVD). However, one of our previous studies showed that, among eight RCTs that investigated the effect of statins vs. a placebo on CVD development, 56–79% of patients had residual CVD risk after the trials. In three RCTs that investigated the effect of a high dose vs. a usual dose of statins on CVD development, 78–87% of patients in the high-dose statin arms still had residual CVD risk. The risk of CVD development remains even when statins are used to strongly reduce LDL-C, and this type of risk is now regarded as statin residual CVD risk. Our study shows that elevated triglyceride (TG) levels, reduced high-density lipoprotein cholesterol (HDL-C), and the existence of obesity/insulin resistance and diabetes may be important metabolic factors that determine statin residual CVD risk. Here, we discuss atherogenic lipoproteins that were not investigated in such RCTs, such as lipoprotein (a) (Lp(a)), remnant lipoproteins, malondialdehyde-modified LDL (MDA-LDL), and small-dense LDL (Sd-LDL). Lp(a) is under strong genetic control by apolipoprotein (a), which is an LPA gene locus. Variations in the LPA gene account for 91% of the variability in the plasma concentration of Lp(a). A meta-analysis showed that genetic variations at the LPA locus are associated with CVD events during statin therapy, independent of the extent of LDL lowering, providing support for exploring strategies targeting circulating concentrations of Lp(a) to reduce CVD events in patients receiving statins. Remnant lipoproteins and small-dense LDL are highly associated with high TG levels, low HDL-C, and obesity/insulin resistance. MDA-LDL is a representative form of oxidized LDL and plays important roles in the formation and development of the primary lesions of atherosclerosis. MDA-LDL levels were higher in CVD patients and diabetic patients than in the control subjects. Furthermore, we demonstrated the atherogenic properties of such lipoproteins and their association with CVD as well as therapeutic approaches.
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Affiliation(s)
- Hidekatsu Yanai
- Correspondence: ; Tel.: +81-473-72-3501; Fax: +81-473-72-1858
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23
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Blonde L, Umpierrez GE, Reddy SS, McGill JB, Berga SL, Bush M, Chandrasekaran S, DeFronzo RA, Einhorn D, Galindo RJ, Gardner TW, Garg R, Garvey WT, Hirsch IB, Hurley DL, Izuora K, Kosiborod M, Olson D, Patel SB, Pop-Busui R, Sadhu AR, Samson SL, Stec C, Tamborlane WV, Tuttle KR, Twining C, Vella A, Vellanki P, Weber SL. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. Endocr Pract 2022; 28:923-1049. [PMID: 35963508 PMCID: PMC10200071 DOI: 10.1016/j.eprac.2022.08.002] [Citation(s) in RCA: 136] [Impact Index Per Article: 68.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers. METHODS The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RESULTS This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes. CONCLUSIONS This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.
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Affiliation(s)
| | | | - S Sethu Reddy
- Central Michigan University, Mount Pleasant, Michigan
| | | | | | | | | | | | - Daniel Einhorn
- Scripps Whittier Diabetes Institute, La Jolla, California
| | | | | | - Rajesh Garg
- Lundquist Institute/Harbor-UCLA Medical Center, Torrance, California
| | | | | | | | | | | | - Darin Olson
- Colorado Mountain Medical, LLC, Avon, Colorado
| | | | | | - Archana R Sadhu
- Houston Methodist; Weill Cornell Medicine; Texas A&M College of Medicine; Houston, Texas
| | | | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | | | - Katherine R Tuttle
- University of Washington and Providence Health Care, Seattle and Spokane, Washington
| | | | | | | | - Sandra L Weber
- University of South Carolina School of Medicine-Greenville, Prisma Health System, Greenville, South Carolina
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24
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Shen Y, Wang XQ, Dai Y, Wang YX, Zhang RY, Lu L, Ding FH, Shen WF. Diabetic dyslipidemia impairs coronary collateral formation: An update. Front Cardiovasc Med 2022; 9:956086. [PMID: 36072863 PMCID: PMC9441638 DOI: 10.3389/fcvm.2022.956086] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
Coronary collateralization is substantially impaired in patients with type 2 diabetes and occlusive coronary artery disease, which leads to aggravated myocardial ischemia and a more dismal prognosis. In a diabetic setting, altered serum lipid profiles and profound glycoxidative modification of lipoprotein particles induce endothelial dysfunction, blunt endothelial progenitor cell response, and severely hamper growth and maturation of collateral vessels. The impact of dyslipidemia and lipid-lowering treatments on coronary collateral formation has become a topic of heightened interest. In this review, we summarized the association of triglyceride-based integrative indexes, hypercholesterolemia, increased Lp(a) with its glycoxidative modification, as well as quantity and quality abnormalities of high-density lipoprotein with impaired collateral formation. We also analyzed the influence of innovative lipid-modifying strategies on coronary collateral development. Therefore, clinical management of diabetic dyslipidemia should take into account of its effect on coronary collateralization in patients with occlusive coronary artery disease.
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Affiliation(s)
- Ying Shen
- Department of Cardiovascular Medicine, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xiao Qun Wang
- Department of Cardiovascular Medicine, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yang Dai
- Department of Cardiovascular Medicine, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yi Xuan Wang
- Department of Cardiovascular Medicine, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Rui Yan Zhang
- Department of Cardiovascular Medicine, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Lin Lu
- Department of Cardiovascular Medicine, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China
- Institute of Cardiovascular Disease, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Feng Hua Ding
- Department of Cardiovascular Medicine, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Feng Hua Ding,
| | - Wei Feng Shen
- Department of Cardiovascular Medicine, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China
- Institute of Cardiovascular Disease, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Wei Feng Shen,
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Liu W, Xu J, Song H, Zhang C, Yao Y, Zhang H, Li YC, Liu Z. Excessive Visit-to-Visit Small and Dense Low-Density Lipoproteins Elevate Cerebral Small Vessel Disease Progression Risk in the Elderly. Front Neurol 2022; 13:851735. [PMID: 35847226 PMCID: PMC9277007 DOI: 10.3389/fneur.2022.851735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 06/01/2022] [Indexed: 11/13/2022] Open
Abstract
Objective Small and dense low-density lipoprotein (sdLDL) elevation may be among the most sensitive early biomarkers for nascent cardiovascular disease. This study, therefore, investigated the association between visit-to-visit changes in sdLDL and cerebral small vessel disease (CSVD) progression in older individuals, and the influence of Apolipoprotein E (APOE) genotype on this association. Methods Between April 2007 and July 2009, 1,143 participants ≥60 years old were recruited from the Shandong region of China, and sdLDL was measured at baseline and at each follow-up visit. White matter hyperintensities (WMHs), lacunes, microbleeds, and enlarged perivascular spaces (EPVSs) were assessed by magnetic resonance imaging. The APOE genotype was determined and participants were stratified as ε4-positive or ε4-negative. Results During an average follow-up of 86.0 months, 225 participants (19.7%) developed WMH progression, 193 (16.9%) lacune progression, 170 (14.9%) microbleed progression, and 185 (16.2%) EPVS progression. Compared with patients in the first (lowest) tertile of visit-to-visit mean sdLDL, those in the second and third tertiles demonstrated significantly greater risks of WMH progression (53.5 and 105.3% higher), lacune progression (53.3 and 60.8%), microbleed progression (47.2 and 127.6%), and EPVS progression (54.0 and 135.0%) after adjustment for confounders (all adjusted P values for trends <0.001). Compared with patients in the first tertile of visit-to-visit sdLDL SD, those in the second and third tertiles also demonstrated significantly greater risks of WMH progression (49.9% and 143.6%), lacune progression (75.3 and 178.0%), microbleed progression (12.7 and 64.7%), and EPVS progression (41.7 and 114.6%) after adjustment (all P < 0.001). There were significant and positive visit-to-visit mean sdLDL × visit-to-visit sdLDL SD, visit-to-visit mean sdLD×ε4-positive, visit-to-visit sdLDL SD×ε4-positive, and visit-to-visit mean sdLDL×visit-to-visit sdLDL SD×ε4-positive interactions influencing CSVD progression after confounder adjustment (all P < 0.05). Conclusion Large and variable visit-to-visit changes in sdLDL are independent predictors of aggressive CSVD progression, and this association is strongly influenced by APOE ε4 allele genotype.
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Affiliation(s)
- Weike Liu
- Department of Cardiology, Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jing Xu
- Department of Cardiology, Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Huajing Song
- Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- School of Basic Medicine, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Chunju Zhang
- Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- School of Basic Medicine, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yanli Yao
- Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- School of Basic Medicine, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Hua Zhang
- Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- School of Basic Medicine, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yue-Chun Li
- Department of Cardiology, Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
- *Correspondence: Yue-Chun Li
| | - Zhendong Liu
- Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- School of Basic Medicine, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- Zhendong Liu
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Abstract
PURPOSE OF REVIEW Levels of small, dense low-density lipoprotein (LDL) (sdLDL) particles determined by several analytic procedures have been associated with risk of atherosclerotic cardiovascular disease (ASCVD). This review focuses on the clinical significance of sdLDL measurement. RECENT FINDINGS Results of multiple prospective studies have supported earlier evidence that higher levels of sdLDL are significantly associated with greater ASCVD risk, in many cases independent of other lipid and ASCVD risk factors as well as levels of larger LDL particles. A number of properties of sdLDL vs. larger LDL, including reduced LDL receptor affinity and prolonged plasma residence time as well as greater oxidative susceptibility and affinity for arterial proteoglycans, are consistent with their heightened atherogenic potential. Nevertheless, determination of the extent to which sdLDL can preferentially impact ASCVD risk compared with other apoprotein B-containing lipoproteins has been confounded by their metabolic interrelationships and statistical collinearity, as well as differences in analytic procedures and definitions of sdLDL. SUMMARY A growing body of data points to sdLDL concentration as a significant determinant of ASCVD risk. Although future studies should be aimed at determining the clinical benefit of reducing sdLDL levels, there is sufficient evidence to warrant consideration of sdLDL measurement in assessing and managing risk of cardiovascular disease. VIDEO ABSTRACT https://www.dropbox.com/s/lioohr2ead7yx2p/zoom_0.mp4?dl=0.
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Sekimoto T, Koba S, Mori H, Arai T, Matsukawa N, Sakai R, Yokota Y, Sato S, Tanaka H, Masaki R, Oishi Y, Ogura K, Arai K, Nomura K, Sakai K, Tsujita H, Kondo S, Tsukamoto S, Matsumoto H, Suzuki H, Shinke T. Impact of Small Dense Low-Density Lipoprotein Cholesterol on Cholesterol Crystals in Patients with Acute Coronary Syndrome: An Optical Coherence Tomography Study. J Clin Lipidol 2022; 16:438-446. [DOI: 10.1016/j.jacl.2022.04.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/08/2022] [Accepted: 04/28/2022] [Indexed: 11/24/2022]
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Shi H, Guo J, Xu K, Zhang F, Zhou Y. Study on the value of small dense low-density lipoprotein in predicting cardiovascular and cerebrovascular events in the high-risk stroke population. J Clin Lab Anal 2022; 36:e24278. [PMID: 35233851 PMCID: PMC8993627 DOI: 10.1002/jcla.24278] [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: 12/11/2021] [Revised: 01/24/2022] [Accepted: 01/25/2022] [Indexed: 12/15/2022] Open
Abstract
Background Lipid management in people at high risk of stroke is an important measurement to prevent the occurrence of stroke. The study aims to investigate the association between sdLDL and cardiovascular and cerebrovascular events in high‐risk stroke populations. Methods This was a prospective study. Screened from 15,933 individuals aged >40 years in April 2013 and followed up at 3rd, 6th, 12th, and 24th months, 823 participants met the screening criteria and were investigated for clinical data and biochemical parameters. Results A total of 286 subjects had varying degrees of carotid stenosis, and 18 subjects experienced cardiovascular and cerebrovascular events during the two‐year follow‐up period. There was no positive correlation between sdLDL and carotid stenosis. Carotid stenosis and extent of carotid stenosis involvement did not predict cardiovascular and cerebrovascular events in patients with high‐risk stroke, while sdLDL did. The sdLDL level in the events group was significantly higher than those in the no event group (p = 0.002). In the events group, the risk of events in the fourth quartile of sdLDL was 10.136 times higher than in the first quartile (HR = 10.136, 95% CI: 1.298–79.180, p = 0.027). Conclusions sdLDL was positively correlated with the incidence of cardiovascular and cerebrovascular events, which can predict the occurrence of an event and provide a scientific basis for early prevention.
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Affiliation(s)
- Hanlu Shi
- School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, China.,Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People' s Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China
| | - Jianwei Guo
- Department of Clinical Laboratory, The Second Hospital of Jiaxing, Jiaxing, China
| | - Ke Xu
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People' s Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China
| | - Fujie Zhang
- Qian Xi Nan Hospital of Traditional Chinese Medicine, Qian Xi Nan Buyei and Miao Autonomous Prefecture, China
| | - Yonglie Zhou
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People' s Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China
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Comprehensive Statistical and Bioinformatics Analysis in the Deciphering of Putative Mechanisms by Which Lipid-Associated GWAS Loci Contribute to Coronary Artery Disease. Biomedicines 2022; 10:biomedicines10020259. [PMID: 35203469 PMCID: PMC8868589 DOI: 10.3390/biomedicines10020259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 01/22/2022] [Accepted: 01/23/2022] [Indexed: 11/17/2022] Open
Abstract
The study was designed to evaluate putative mechanisms by which lipid-associated loci identified by genome-wide association studies (GWAS) are involved in the molecular pathogenesis of coronary artery disease (CAD) using a comprehensive statistical and bioinformatics analysis. A total of 1700 unrelated individuals of Slavic origin from the Central Russia, including 991 CAD patients and 709 healthy controls were examined. Sixteen lipid-associated GWAS loci were selected from European studies and genotyped using the MassArray-4 system. The polymorphisms were associated with plasma lipids such as total cholesterol (rs12328675, rs4846914, rs55730499, and rs838880), LDL-cholesterol (rs3764261, rs55730499, rs1689800, and rs838880), HDL-cholesterol (rs3764261) as well as carotid intima-media thickness/CIMT (rs12328675, rs11220463, and rs1689800). Polymorphisms such as rs4420638 of APOC1 (p = 0.009), rs55730499 of LPA (p = 0.0007), rs3136441 of F2 (p < 0.0001), and rs6065906 of PLTP (p = 0.002) showed significant associations with the risk of CAD, regardless of sex, age, and body mass index. A majority of the observed associations were successfully replicated in large independent cohorts. Bioinformatics analysis allowed establishing (1) phenotype-specific and shared epistatic gene–gene and gene–smoking interactions contributing to all studied cardiovascular phenotypes; (2) lipid-associated GWAS loci might be allele-specific binding sites for transcription factors from gene regulatory networks controlling multifaceted molecular mechanisms of atherosclerosis.
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Ishii J, Kashiwabara K, Ozaki Y, Takahashi H, Kitagawa F, Nishimura H, Ishii H, Iimuro S, Kawai H, Muramatsu T, Naruse H, Iwata H, Tanizawa-Motoyama S, Ito H, Watanabe E, Matsuyama Y, Fukumoto Y, Sakuma I, Nakagawa Y, Hibi K, Hiro T, Hokimoto S, Miyauchi K, Ohtsu H, Izawa H, Ogawa H, Daida H, Shimokawa H, Saito Y, Kimura T, Matsuzaki M, Nagai R. Small Dense Low-Density Lipoprotein Cholesterol and Cardiovascular Risk in Statin-Treated Patients with Coronary Artery Disease. J Atheroscler Thromb 2021; 29:1458-1474. [PMID: 34880156 PMCID: PMC9529381 DOI: 10.5551/jat.63229] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Aim: We investigated the relationship between small dense low-density cholesterol (sdLDL-C) and risk of major adverse cardiovascular events (MACE) in patients treated with high- or low-dose statin therapy.
Methods: This was a prospective case-cohort study within the Randomized Evaluation of Aggressive or Moderate Lipid-Lowering Therapy with Pitavastatin in Coronary Artery Disease (REAL-CAD) study, a randomized trial of high- or low-dose (4 or 1 mg/d pitavastatin, respectively) statin therapy, in patients with stable coronary artery disease (CAD). Serum sdLDL-C was determined using an automated homogenous assay at baseline (randomization after a rule-in period, >1 month with 1 mg/d pitavastatin) and 6 months after randomization, in 497 MACE cases, and 1543 participants randomly selected from the REAL-CAD study population.
Results: High-dose pitavastatin reduced sdLDL-C by 20% than low-dose pitavastatin (p for interaction <0.001). Among patients receiving low-dose pitavastatin, baseline sdLDL-C demonstrated higher MACE risk independent of LDL-C (hazard ratio [95% confidence interval], 4th versus 1st quartile, 1.67 [1.04–2.68];p for trend=0.034). High-dose (versus low-dose) pitavastatin reduced MACE risk by 46% in patients in the highest baseline sdLDL-C quartile (>34.3 mg/dL; 0.54 [0.36–0.81];p=0.003), but increased relative risk by 40% in patients with 1st quartile (≤ 19.5 mg/dL; 1.40 [0.94–2.09];p=0.099) and did not alter risk in those in 2nd and 3rd quartiles (p for interaction=0.002).
Conclusions: These findings associate sdLDL-C and cardiovascular risk, independent of LDL-C, in statin-treated CAD patients. Notably, high-dose statin therapy reduces this risk in those with the highest baseline sdLDL-C.
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Affiliation(s)
- Junnichi Ishii
- Department of Clinical Laboratory, Bantane Hospital, Fujita Health University School of Medicine
| | - Kosuke Kashiwabara
- Data Science Office, Clinical Research Promotion Center, The University of Tokyo Hospital
| | - Yukio Ozaki
- Department of Cardiology, Fujita Health University School of Medicine
| | | | - Fumihiko Kitagawa
- Department of Joint Research Laboratory of Clinical Medicine, Fujita Health University School of Medicine
| | - Hideto Nishimura
- Department of Cardiology, Fujita Health University School of Medicine
| | - Hideki Ishii
- Department of Cardiovascular Medicine, Gunma University Graduate School of Medicine
| | - Satoshi Iimuro
- Innovation and Research Support Center, International University of Health and Welfare
| | - Hideki Kawai
- Department of Cardiology, Fujita Health University School of Medicine
| | - Takashi Muramatsu
- Department of Cardiology, Fujita Health University School of Medicine
| | - Hiroyuki Naruse
- Faculty of Medical Technology, School of Health Sciences, Fujita Health University
| | - Hiroshi Iwata
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine
| | | | - Hiroyasu Ito
- Department of Joint Research Laboratory of Clinical Medicine, Fujita Health University School of Medicine
| | - Eiichi Watanabe
- Department of Cardiology, Fujita Health University School of Medicine
| | - Yutaka Matsuyama
- Department of Biostatistics, School of Public Health, The University of Tokyo
| | - Yoshihiro Fukumoto
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine
| | | | - Yoshihisa Nakagawa
- Department of Cardiovascular Medicine, Shiga University of Medical Science
| | - Kiyoshi Hibi
- Division of Cardiology, Yokohama City University Medical Center
| | - Takafumi Hiro
- Division of Cardiology, Department of Medicine, Nihon University School of Medicine
| | | | - Katsumi Miyauchi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine
| | - Hiroshi Ohtsu
- Clinical Pharmacology and Regulatory Science, Graduate School of Medicine, Juntendo University
| | - Hideo Izawa
- Department of Cardiology, Fujita Health University School of Medicine
| | | | - Hiroyuki Daida
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine
| | - Hiroaki Shimokawa
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan, and International University of Health and Welfare
| | | | - Takeshi Kimura
- Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine
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Bonilha I, Hajduch E, Luchiari B, Nadruz W, Le Goff W, Sposito AC. The Reciprocal Relationship between LDL Metabolism and Type 2 Diabetes Mellitus. Metabolites 2021; 11:metabo11120807. [PMID: 34940565 PMCID: PMC8708656 DOI: 10.3390/metabo11120807] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 11/25/2021] [Accepted: 11/25/2021] [Indexed: 12/14/2022] Open
Abstract
Type 2 diabetes mellitus and insulin resistance feature substantial modifications of the lipoprotein profile, including a higher proportion of smaller and denser low-density lipoprotein (LDL) particles. In addition, qualitative changes occur in the composition and structure of LDL, including changes in electrophoretic mobility, enrichment of LDL with triglycerides and ceramides, prolonged retention of modified LDL in plasma, increased uptake by macrophages, and the formation of foam cells. These modifications affect LDL functions and favor an increased risk of cardiovascular disease in diabetic individuals. In this review, we discuss the main findings regarding the structural and functional changes in LDL particles in diabetes pathophysiology and therapeutic strategies targeting LDL in patients with diabetes.
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Affiliation(s)
- Isabella Bonilha
- Cardiology Division, Atherosclerosis and Vascular Biology Laboratory (AtheroLab), State University of Campinas (Unicamp), Campinas 13083-887, Brazil; (I.B.); (B.L.)
| | - Eric Hajduch
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, F-75006 Paris, France;
| | - Beatriz Luchiari
- Cardiology Division, Atherosclerosis and Vascular Biology Laboratory (AtheroLab), State University of Campinas (Unicamp), Campinas 13083-887, Brazil; (I.B.); (B.L.)
| | - Wilson Nadruz
- Cardiology Division, Cardiovascular Pathophysiology Laboratory, State University of Campinas (Unicamp), Campinas 13083-887, Brazil;
| | - Wilfried Le Goff
- Unité de Recherche sur les Maladies Cardiovasculaires, le Métabolisme et la Nutrition, ICAN, Inserm, Sorbonne Université, F-75013 Paris, France;
| | - Andrei C. Sposito
- Cardiology Division, Atherosclerosis and Vascular Biology Laboratory (AtheroLab), State University of Campinas (Unicamp), Campinas 13083-887, Brazil; (I.B.); (B.L.)
- Correspondence: ; Tel.: +55-19-3521-7098; Fax: +55-19-3289-410
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Zhu Y, Chen M, Liu K, Gao A, Kong X, Liu Y, Han H, Li H, Zhu H, Zhang J, Zhao Y. Atherogenic Index of Plasma and the Risk of In-Stent Restenosis in Patients with Acute Coronary Syndrome beyond the Traditional Risk Factors. J Atheroscler Thromb 2021; 29:1226-1235. [PMID: 34497172 PMCID: PMC9371759 DOI: 10.5551/jat.63136] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Aim: Recently, the atherogenic index of plasma (AIP) has been proposed as a novel, reliable plasma atherogenicity marker. This study aimed to investigate the association of AIP with the risk of in-stent restenosis (ISR) in patients with acute coronary syndrome (ACS).
Methods: This study retrospectively enrolled patients with ACS followed by angiography within 6 to 18 months after successful percutaneous coronary intervention (PCI) with a drug-eluting stent (DES). And the participants were divided into ISR or non-ISR groups based on the angiographic follow-up results. AIP was defined as the base 10 logarithm of the ratio of serum triglyceride (mmol/L) to high-density lipoprotein cholesterol (mmol/L).
Results: This study recruited 1319 patients with ACS, 199 of which had ISR. Compared with the non-ISR group, patients in the ISR group had higher level of AIP (0.199±0.290 vs 0.131±0.282,p=0.002). In the multiple logistic regression analysis, AIP was an independent risk factor for DES-ISR (OR=2.100, 95% CI 1.134 to 3.891,p=0.018). When we modulated AIP as a categorical variable, the risk of DES-ISR increased in quartile 4 compared to quartile 1 (OR=1.713, 95% CI 1.040 to 2.822,p=0.034). Furthermore, this association remains stable in various subgroups. Unexpectedly, the subgroup analysis suggested AIP and DES-ISR had a stronger positive association in individuals with low-density lipoprotein cholesterol (LDL-C) <1.8 mmol/L.
Conclusions: AIP and the risk of DES-ISR were positively and independently correlated in patients with ACS, especially in those with an LDL-C <1.8 mmol/L.
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Affiliation(s)
- Yong Zhu
- Department of Cardiology, Beijing AnZhen Hospital, Capital Medical University
| | - Maolin Chen
- Department of Emergency, Beijing AnZhen Hospital, Capital Medical University
| | - Kesen Liu
- Department of Cardiology, Beijing AnZhen Hospital, Capital Medical University
| | - Ang Gao
- Department of Cardiology, Beijing AnZhen Hospital, Capital Medical University
| | - Xiangyun Kong
- Department of Cardiology, Beijing LuHe Hospital, Capital Medical University
| | - Yan Liu
- Department of Cardiology, Beijing AnZhen Hospital, Capital Medical University
| | - Hongya Han
- Department of Cardiology, Beijing AnZhen Hospital, Capital Medical University
| | - Hong Li
- Department of Cardiology, Beijing AnZhen Hospital, Capital Medical University
| | - Huagang Zhu
- Department of Cardiology, Beijing AnZhen Hospital, Capital Medical University
| | - Jianwei Zhang
- Department of Cardiology, Beijing AnZhen Hospital, Capital Medical University
| | - Yingxin Zhao
- Department of Cardiology, Beijing AnZhen Hospital, Capital Medical University
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Zhou Y, Zhou H, Hua L, Hou C, Jia Q, Chen J, Zhang S, Wang Y, He S, Jia E. Verification of ferroptosis and pyroptosis and identification of PTGS2 as the hub gene in human coronary artery atherosclerosis. Free Radic Biol Med 2021; 171:55-68. [PMID: 33974977 DOI: 10.1016/j.freeradbiomed.2021.05.009] [Citation(s) in RCA: 106] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/02/2021] [Accepted: 05/06/2021] [Indexed: 01/09/2023]
Abstract
Ferroptosis and pyroptosis have not been fully studied in atherosclerosis. We aimed to investigate the expression of ferroptosis-related and pyroptosis-related proteins in human coronary arteries and analyse correlation with severity of atherosclerosis and clarify the interactions between proteins and possible mechanisms of atherosclerosis. 40 human coronary artery specimens were employed. The atherosclerotic lesions were characterized by Haematoxylin and Eosin (H&E) staining. The expression of prostaglandin-endoperoxide synthase 2 (PTGS2), anti-acyl-CoA synthetase long-chain family member 4 (ACSL4), glutathione peroxidase 4 (GPX4), caspase-1, and NOD-like receptor protein 3 (NLRP3) were analysed by immunohistochemical assay. Correlations between expression of proteins and severity of atherosclerosis were assessed using Spearman correlation analysis. Bioinformatic and coexpression analyses were performed to study the possible pathways and interactions. In the present study, PTGS2, ACSL4, caspase-1, and NLRP3, were upregulated, while GPX4 was downregulated in the advanced stages of atherosclerosis. The severity of atherosclerosis was positively associated with the expression of PTGS2, ACSL4, caspase-1, and NLRP3 and negatively associated with the expression of GPX4. Biological processes of lipid metabolism and inflammation and C-type lectin receptor signaling pathway were enriched. The five proteins interacted with each other directly or indirectly and PTGS2 might be the hub gene of atherosclerosis. Ferroptosis and pyroptosis may regulate the occurrence and development of atherosclerosis. These findings may shed light on new ideas and potential targets for the prevention and treatment of coronary artery atherosclerosis and the proteins may be used as biomarkers for the severity of atherosclerosis.
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Affiliation(s)
- Yaqing Zhou
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China
| | - Hanxiao Zhou
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China
| | - Lei Hua
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China
| | - Can Hou
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China
| | - Qiaowei Jia
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China
| | - Jiaxin Chen
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China
| | - Sheng Zhang
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China
| | - Yanjun Wang
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China
| | - Shu He
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China
| | - Enzhi Jia
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China.
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Singh A, Puhan R, Pradhan A, Ali W, Sethi R. Small Dense Low-Density Lipoprotein for Risk Prediction of Acute Coronary Syndrome. Cardiol Res 2021; 12:251-257. [PMID: 34349867 PMCID: PMC8297045 DOI: 10.14740/cr1254] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 04/27/2021] [Indexed: 02/05/2023] Open
Abstract
Background Elevated Low density Lipoprotein (LDL) levels have been traditionally associated with development of atherosclerotic coronary artery disease (CAD). As LDL-cholesterol levels are not always raised in acute coronary syndrome (ACS) patients, sd-LDL is an emerging risk factor. The purpose of the present study was tri-fold. Firstly, it aimed to investigate the association of sd-LDL as a risk factor in ACS patients. Secondly, it aimed to correlate the presence of sd-LDL with severity of coronary artery disease as determined by coronary angiography. Lastly, it aimed to correlate the presence of sd-LDL with short-term outcomes. Methods This was a prospective, hospital-based, cross-sectional, case-control study conducted over a 1-year study duration. Patients above the age of 18 years diagnosed with ACS within 24 h of admission were studied. Blood samples were collected after all patients had undergone coronary angiography and sd-LDL levels were measured. Results ACS patients had significantly higher sd-LDL levels than non-ACS patients (16.10 ± 1.42 mg/dL vs. 12.67 ± 0.71 mg/dL, P = 0.036). Males had significantly higher sd-LDL levels than females (16.79 ± 1.55 mg/dl vs. 10.77 ± 2.62 mg/dl, P=0.047). Patients with non-left anterior descending coronary artery (LAD) involvement had significantly higher sd-LDL levels compared to patients with LAD involvement (21.92 ± 3.55 mg/dL vs. 14.03 ± 1.35 mg/dL, P = 0.007). Conclusion These results suggest that sd-LDL is a risk factor for the development of ACS in an Indian population.
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Affiliation(s)
- Abhishek Singh
- Department of Internal Medicine, King George's Medical University, Lucknow, Uttar Pradesh 226003, India
| | - Rajendra Puhan
- Department of Internal Medicine, King George's Medical University, Lucknow, Uttar Pradesh 226003, India
| | - Akshyaya Pradhan
- Department of Cardiology, King George's Medical University, Lucknow, Uttar Pradesh 226003, India
| | - Wahid Ali
- Department of Pathology, King George's Medical University, Lucknow, Uttar Pradesh 226003, India
| | - Rishi Sethi
- Department of Cardiology, King George's Medical University, Lucknow, Uttar Pradesh 226003, India
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Zhou Y, Zhang S, Ji W, Gan X, Hua L, Hou C, Chen J, Wang Y, He S, Zhou H, Jia E. LncRNA Landscape of Coronary Atherosclerosis Reveals Differentially Expressed LncRNAs in Proliferation and Migration of Coronary Artery Smooth Muscle Cells. Front Cell Dev Biol 2021; 9:656636. [PMID: 34084771 PMCID: PMC8168468 DOI: 10.3389/fcell.2021.656636] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 03/15/2021] [Indexed: 12/12/2022] Open
Abstract
We aimed to investigate differentially expressed long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs) in atherosclerosis and validate the expression of lncRNAs and co-expressed target genes in proliferation and migration models of human coronary artery smooth muscle cells (HCASMCs). Ten coronary artery specimens from a subject who died from a heart attack were employed. The pathological analysis was analyzed by hematoxylin and eosin (H&E) staining, and the lncRNAs and mRNAs were identified by RNA sequencing. Bioinformatic analyses were performed to predict possible mechanisms. The proliferation and migration of HCASMCs were induced with oxidized low-density lipoprotein (ox-LDL). Differentially expressed lncRNAs and mRNAs were validated by quantitative real-time polymerase chain reaction (qRT-PCR). In this study, 68 lncRNAs and 222 mRNAs were identified differentially expressed in atherosclerosis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses showed that the Fanconi anemia pathway may be involved in atherosclerosis. GON4L was found to be the co-localized target gene of LNC_000439, and 14 genes had high correlations with the expression of seven lncRNAs. In addition, nine lncRNA–miRNA–mRNA networks were constructed, and 53 co-expressed gene modules were detected with weighted gene co-expression network analysis (WGCNA). LNC_000684, LNC_001046, LNC_001333, LNC_001538, and LNC_002115 were downregulated, while LNC_002936 was upregulated in proliferation and migration models of HCASMCs. In total, six co-expressed mRNAs were upregulated in HCASMCs. This study suggests that the differentially expressed lncRNAs identified by RNA sequencing and validated in smooth muscle cells may be a target for regulating HCASMC proliferation and migration in atherosclerosis, which will provide a new diagnostic basis and therapeutic target for the treatment of cardiovascular diseases.
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Affiliation(s)
- Yaqing Zhou
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Sheng Zhang
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wenfeng Ji
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiongkang Gan
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Lei Hua
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Can Hou
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jiaxin Chen
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yanjun Wang
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shu He
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hanxiao Zhou
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Enzhi Jia
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Elevated Serum Small Dense Low-Density Lipoprotein Cholesterol May Increase the Risk and Severity of Coronary Heart Disease and Predict Cardiovascular Events in Patients with Type 2 Diabetes Mellitus. DISEASE MARKERS 2021; 2021:5597028. [PMID: 34046097 PMCID: PMC8128552 DOI: 10.1155/2021/5597028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 04/27/2021] [Indexed: 11/26/2022]
Abstract
Background Coronary heart disease (CHD) is a common and severe complication in type 2 diabetes mellitus (T2DM) patients. Increased amount of circulatory small dense low-density lipoprotein cholesterol (sdLDL-C) particles is known to be a sign of dyslipidemia and can result in atherosclerosis. However, the association between serum sdLDL-C levels and CHD in T2DM patients remains unclear. Methods A total of 3684 T2DM patients who received selective coronary angiography (CAG) were selected. For analyzing the association between sdLDL-C and CHD severity in T2DM, the patients with CHD were further divided into four subgroups according to the quartiles of sdLDL-C. A multivariate logistic regression was used for analyzing the risks and severity of CHD. A total of 3427 patients with continuous stable CHD were recruited and followed up for 5 years. Results Serum sdLDL-C levels in the CHD group were significantly increased compared with those in the non-CHD group [0.80 (0.49) mmol/L vs. 0.70 (0.30) mmol/L, p < 0.001]. The results from CHD subgroup analysis indicated that the sdLDL-C levels in patients with multiple-vessel disease and high Gensini score (GS) were significantly increased. By adjusting the confounding factors and analyzing with multiple logistic regression, we found that sdLDL-C independently correlated with the presence and severity of CHD (CHD: OR = 2.257; multiple-vessel disease: OR = 3.288; high GS: OR = 2.554). A total of 484 major cardiovascular events (MACEs) were documented. After Kaplan-Meier analysis and chi-squared analysis, the incidence of MACEs in the high sdLDL-C group was higher than that in the low sdLDL-C group (16.04% vs. 12.25%, p = 0.002). Conclusion In T2DM patients, elevated serum sdLDL-C may increase the severity of CHD and predict cardiovascular events in the future. Therefore, serum sdLDL-C may be a potential biomarker for the surveillance of CHD in T2DM patients.
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Jia Y, Wen W, Yang Y, Huang M, Ning Y, Jiao X, Liu S, Qin Y, Zhang M. The clinical role of combined serum C1q and hsCRP in predicting coronary artery disease. Clin Biochem 2021; 93:50-58. [PMID: 33861985 DOI: 10.1016/j.clinbiochem.2021.04.004] [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: 01/26/2021] [Revised: 03/19/2021] [Accepted: 04/06/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE C1q has been shown to be associated with coronary heart disease (CAD) and can co-deposit with C-reactive protein (CRP) in atherosclerotic plaques. However, few studies have been conducted between C1q, CRP parameters and CAD. The aim of this study is to explore the relationship between C1q and CRP parameters and assess their clinical significance in CAD. METHODS 238 total patients who underwent coronary artery angiography were enrolled and divided into control group (n = 65), stable CAD group (n = 47) and unstable angina group (UA group, n = 126). Patients' data were collected from self-administered questionnaires and electrical medical records. The severity of coronary stenosis was presented by Gensini score. The relationship between C1q, CRP parameters and CAD were evaluated by multivariate regression analysis and their predicting performance were assessed by ROC analysis and odds ratio analysis. RESULTS Compared with control group, C1q was showed significantly lower in stable CAD (P = 0.004) and UA groups (P = 0.008), while hsCRP was higher in UA group (P = 0.024). Serum C1q was weakly positively associated with hsCRP (r = 0.24, P < 0.001) but not correlated with Gensini score. Logistic regression identified C1q (OR: 0.87 per 10 mg/L, 95% CI: 0.79-0.95, P = 0.001) and hsCRP (OR: 1.08 mg/L, 95% CI: 1.01-1.15, P = 0.032) as independent determinants of CAD. Furthermore, combined C1q and hsCRP level showed higher discriminatory accuracy in predicting CAD than C1q (AUC: 0.676 vs 0.585, P = 0.101; NRI: 10.4%, P = 0.049; IDI: 3.9%, P < 0.001) or hsCRP (AUC: 0.676 vs 0.585, P = 0.101; NRI: 16.7%, P = 0.006; IDI: 5.8%, P < 0.001). CONCLUSIONS Reduced serum C1q and increased hsCRP are independently associated with CAD and could be potential predictors for CAD diagnosis. Furthermore, combined C1q and hsCRP showed better performance in predicting CAD than using single one.
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Affiliation(s)
- Yifan Jia
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Wanwan Wen
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Yunxiao Yang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Mengling Huang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Yu Ning
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Xiaolu Jiao
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Sheng Liu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Yanwen Qin
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Ming Zhang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
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Zhang J, He L. Relationship between small dense low density lipoprotein and cardiovascular events in patients with acute coronary syndrome undergoing percutaneous coronary intervention. BMC Cardiovasc Disord 2021; 21:169. [PMID: 33845772 PMCID: PMC8040195 DOI: 10.1186/s12872-021-01979-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Accepted: 03/30/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Residual risk remained significant despite effective low density lipoprotein cholesterol (LDL-C) lowering treatment. Small dense low density lipoprotein cholesterol (sdLDL-C) as part of LDL-C has been found to be predictor of coronary heart disease (CHD) and cardiovascular (CV) events in patients with stable CHD independently of LDL-C. However, to date, few studies have explored the role of sdLDL-C in patients with acute coronary syndromes (ACS) undergoing percutaneous coronary intervention (PCI). Accordingly, this study aimed to evaluate the association of sdLDL-C with CV events in patients with ACS undergoing PCI. METHODS Patients hospitalized with ACS undergoing PCI were enrolled and followed up for 18 months. The risk of sdLDL-C for CV events was compared according to sdLDL-C quartiles. The primary outcome was major cardiovascular and cerebrovascular adverse events (MACCE), which was the composite of all cause of death, nonfatal myocardial infarction (MI), nonfatal stroke or unplanned repeat revascularization. A Cox proportional hazards regression model was performed to estimate the risk of CV events. Subgroup analysis according to diabetes status and LDL-C were performed separately for MACCE. RESULTS A total of 6092 patients were included in the analysis (age: 60.2 ± 10.13 years, male: 75.3%, BMI: 25.9 ± 3.33 kg/m2, dyslipidemia: 74.1% and diabetes: 44.5%). During 18 months of follow-up, 320 (5.2%) incident CV events occurred. Compared to the lowest sdLDL-C quartile group, patients in the highest quartile had a greater risk of CV events after multivariable adjustment (HR 1.92; 95% CI 1.37-2.70). In addition, it was mainly due to the increase of unplanned repeat revascularization. In the subgroup analyses, significant association was observed regardless of level of LDL-C and diabetes status. CONCLUSIONS Patients with elevated sdLDL-C have a higher risk of CV events in Chinese patients with ACS undergoing PCI, providing additional value for better risk assessment.
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Affiliation(s)
- Jianwei Zhang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China
| | - Lingjie He
- Department of Outpatient, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
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Wang X, Wang L, Cao R, Yang X, Xiao W, Zhang Y, Ye P. Correlation between small and dense low-density lipoprotein cholesterol and cardiovascular events in Beijing community population. J Clin Hypertens (Greenwich) 2021; 23:345-351. [PMID: 33481346 PMCID: PMC8029841 DOI: 10.1111/jch.14150] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 12/10/2020] [Accepted: 12/12/2020] [Indexed: 11/28/2022]
Abstract
The relationship between small dense low‐density lipoprotein cholesterol (sdLDL‐C) and different cardiovascular events has been observed in several large community studies, and the results have been controversial. However, there is currently no cross‐sectional or longitudinal follow‐up study on sdLDL‐C in the Chinese hypertension population. We analyzed the association of plasma sdLDL‐C levels with major adverse cardiovascular events in 1325 subjects from a longitudinal follow‐up community‐based population in Beijing, China. During the follow‐up period, a total of 191 subjects had MACEs. Cox regression analysis showed that sdLDL‐C is a major risk factor for MACEs independent of sex, age, BMI, hypertension, diabetes, smoking, SBP, DBP, FBG, eGFR in the general community population (1.013 (1.001 −1.025, P < .05)), but the correlation disappeared after adjusting for TC and HDL‐C in Model 3. Cox analysis showed that hypertension combined with high level of sdLDL‐C was still the risk factor for MACEs ((2.079 (1.039‐4.148)). Our findings in the Chinese cohort support that sdLDL‐C is a risk factor for major adverse cardiovascular events in hypertension subjects.
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Affiliation(s)
- Xiaona Wang
- Department of Geriatric Cardiology, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Liang Wang
- Department of Geriatric Cardiology, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Ruihua Cao
- Department of Geriatric Cardiology, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Xu Yang
- Department of Geriatric Cardiology, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Wenkai Xiao
- Department of Geriatric Cardiology, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Yun Zhang
- Department of Geriatric Cardiology, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Ping Ye
- Department of Geriatric Cardiology, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
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