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Balling M, Afzal S, Varbo A, Nordestgaard BG, Langsted A. Remnant Cholesterol: Quantification, Concentrations by Sex and Age, and Risk of Ischemic Heart Disease. Clin Chem 2025; 71:451-462. [PMID: 39723642 DOI: 10.1093/clinchem/hvae217] [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: 08/07/2024] [Accepted: 10/22/2024] [Indexed: 12/28/2024]
Abstract
BACKGROUND Observational and genetic causal studies have shown an association between high concentrations of remnant cholesterol and increased risk of ischemic heart disease. However, findings from randomized intervention trials that reduced plasma triglycerides, a surrogate marker of remnant cholesterol, have been conflicting. The exact mechanisms by which remnant cholesterol contributes to atherosclerosis and, ultimately, ischemic heart disease remain incompletely understood. Additionally, insight on sex and age differences and the importance of measurement differences of remnant cholesterol in plasma concentrations and risk of ischemic heart disease are sparse. CONTENT This review covers current knowledge regarding remnant cholesterol and its role in ischemic heart disease, with particular attention to measurement and sex- and age-specific differences. SUMMARY Findings from observational, genetic, and mechanistic studies support the notion that higher remnant cholesterol may be an important cause of ischemic heart disease in both women and men. Concentrations of remnant cholesterol vary by age, with a sharp increase at early adulthood for men and around menopause for women. Remnant cholesterol can be calculated from a standard lipid profile and in addition measured directly using manual ultracentrifugation, automated assays, and nuclear magnetic resonance spectroscopy. Irrespective of the method used to assess plasma concentrations, high concentrations of remnant cholesterol are consistently associated with increased risk of myocardial infarction and ischemic heart disease in observational and genetic causal studies; cholesterol rather than triglycerides in remnants drive this risk. Importantly, results from ongoing randomized clinical trials aiming specifically at lowering remnant cholesterol and ischemic heart disease are eagerly awaited.
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Affiliation(s)
- Mie Balling
- Department of Clinical Biochemistry, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
- The Copenhagen General Population Study, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Shoaib Afzal
- Department of Clinical Biochemistry, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
- The Copenhagen General Population Study, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anette Varbo
- Department of Clinical Biochemistry, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
- The Copenhagen General Population Study, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
- The Copenhagen General Population Study, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anne Langsted
- The Copenhagen General Population Study, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
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Hua J, Dong J, Chen Y, Li H, Chen Q. Longitudinal Association of Remnant Cholesterol With Cognitive Decline Varies by Lipid-Lowering Drugs: A Population-Based Cohort Study. J Am Heart Assoc 2025; 14:e040211. [PMID: 40135572 DOI: 10.1161/jaha.124.040211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2024] [Accepted: 02/27/2025] [Indexed: 03/27/2025]
Abstract
BACKGROUND Although the association between remnant cholesterol (RC) and cognitive impairment has been reported, the association of RC with cognitive decline remains scarce. Also, the role of lipid-lowering therapy in the association is unclear. The study aimed to examine the longitudinal associations of RC with cognitive decline by lipid-lowering drug use during follow-up. METHODS AND RESULTS The study used data from Wave 2 (2004-2005) to Wave 8 (2016-2017) of the ELSA (English Longitudinal Study of Ageing). Global cognitive functions at baseline (Wave 2) and during the follow-up (Waves 3-8) were assessed by integrating 3 cognitive domains: memory capacity, semantic fluency, and orientation. Multivariate-adjusted linear mixed models were employed to examine the longitudinal associations, with results presented as β (95% CI) in SD/year. Of the 5053 participants ultimately included, 55.4% were female and the mean age (SD) was 65.7 (9.3) years. Per 1 mmol/L increment in RC was significantly associated with a faster rate of cognitive decline (β=-0.010 SD/year [95% CI -0.019 to -0.001]). Furthermore, we observed that association pattern between RC and cognitive decline only in the non-lipid-lowering drug group (β=-0.019 SD/year [95% CI, -0.031 to -0.007]) but not in the lipid-lowering drug group (β=0.007 SD/year [95% CI, -0.006 to 0.020]), with a significant interaction (P=0.015). Similar findings were observed for the 3 cognitive domains. CONCLUSIONS Higher baseline RC levels were associated with steeper cognitive decline. The use of lipid-lowering drugs might mitigate this decline. These findings underscore the importance of early RC monitoring and proactive management with lipid-lowering drugs in clinical practice.
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Affiliation(s)
- Jianian Hua
- Department of Neurology The First Affiliated Hospital of Soochow University Suzhou Jiangsu China
| | - Jianye Dong
- Department of Obstetrics and Gynecology The First Affiliated Hospital of Soochow University Suzhou Jiangsu China
| | - Ying Chen
- Department of Neurology The First Affiliated Hospital of Soochow University Suzhou Jiangsu China
| | - Haibin Li
- Department of Cardiac Surgery, Heart Center and Beijing Key Laboratory of Hypertension Beijing Chaoyang Hospital, Capital Medical University Beijing China
| | - Qingmei Chen
- Department of Physical Medicine and Rehabilitation The First Affiliated Hospital of Soochow University Suzhou Jiangsu China
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Lu JY, Zhou R, Huang JQ, Zhong Q, Huang YN, Hong JR, Liu LB, Li DX, Wu XB. Variability in Cardiometabolic Parameters and All-Cause and Cause-Specific Mortality in Older Adults: Evidence From 2 Prospective Cohorts. Am J Prev Med 2025; 68:588-597. [PMID: 39653285 DOI: 10.1016/j.amepre.2024.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Revised: 11/28/2024] [Accepted: 12/01/2024] [Indexed: 01/18/2025]
Abstract
INTRODUCTION The aim of this study is to assess the individual and joint associations of variability in multiple cardiometabolic parameters with mortality risk across older populations. METHODS A total of 51,551 Chinese elderly participants (aged ≥60 years) with ≥3 measurements of systolic blood pressure, visceral adiposity index, fasting blood glucose, and low-density lipoprotein cholesterol during 2018-2022 were included. Variability metrics included SD, coefficient of variation, average real variability, and variability independent of the mean (used in primary analysis). Participants were classified on the basis of the number of high-variability (highest quartile of variability) parameters into 4 categories: with 0, 1, 2, and 3-4 high-variability cardiometabolic parameters. Cox regression analyses were performed in 2024. Findings were then externally validated using the Health and Retirement Study (Waves 8-15). RESULTS Higher systolic blood pressure, visceral adiposity index, fasting plasma glucose, and low-density lipoprotein cholesterol variability were associated with greater all-, cardiovascular-, and other-cause mortality risk. Compared with those of subjects with no high-variability parameters measured as the variability independent of the mean, the hazard ratios (95% CI) of all-cause mortality were 1.30 (1.16, 1.44) for 1 parameter, 1.86 (1.66, 2.09) for 2 parameters, and 2.02 (1.75, 2.32) for 3-4 parameters. Consistent results were noted for cardiovascular-, cancer-, and other-cause mortality using other variability indices and in various sensitivity and subgroup analyses. These associations were validated in the Health and Retirement Study (n=1,991). CONCLUSIONS Increased variability in cardiometabolic parameters is associated with elevated risks of all-cause and cause-specific mortality among older adults in China. Reducing variability of these parameters could serve as a target to increase life expectancy in older populations.
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Affiliation(s)
- Jian-Yun Lu
- Guangzhou Baiyun Center for Disease Control and Prevention, Guangzhou, China
| | - Rui Zhou
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China; Department of Epidemiology, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Jie-Qiang Huang
- Guangzhou Baiyun Center for Disease Control and Prevention, Guangzhou, China
| | - Qi Zhong
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
| | - Yi-Ning Huang
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
| | - Jia-Ru Hong
- Guangzhou Baiyun Center for Disease Control and Prevention, Guangzhou, China
| | - Ling-Bing Liu
- Guangzhou Baiyun Center for Disease Control and Prevention, Guangzhou, China
| | - Da-Xing Li
- Guangzhou Baiyun Center for Disease Control and Prevention, Guangzhou, China
| | - Xian-Bo Wu
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China.
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Luo P, Li D, Guo Y, Meng X, Kan R, Pan L, Xiang Y, Mao B, He Y, Wang S, Yang Y, Liu Z, Xie J, Zhang B, He W, Hu S, Zhou X, Yu X. The mediating role of remnant cholesterol in the associations of Angiopoietin-like 8 with all-cause, CVD, and cancer death: the China Cardiometabolic Disease and Cancer Cohort (4C) study. Endocrine 2025; 87:997-1010. [PMID: 39604542 DOI: 10.1007/s12020-024-04115-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2024] [Accepted: 11/13/2024] [Indexed: 11/29/2024]
Abstract
PURPOSE To investigate the potential mediating effect of remnant cholesterol (RC) in the associations between angiopoietin-like 8 (ANGPTL8) and the risk of all-cause, cardiovascular disease (CVD), and cancer death. METHODS This prospective observational study included 3278 individuals from China. Binary logistic regression and mediation analyses were conducted to investigate the mediating effect of RC in the associations between ANGPTL8 and all-cause, CVD, and cancer death. RESULTS During up to 5-year follow-up, a total of 265 deaths (8.08%) were documented. Both increased levels of ANGPTL8 and RC were associated with a higher risk of death for all-cause, CVD, and cancer risk. The level of RC ≥ 33 mg/dL could identify individuals at a higher risk of death independent of low-density lipoprotein cholesterol (LDL-C) levels in Chinese general populations. Furthermore, RC significantly mediated the relationship between increased ANGPTL8 levels and higher risk of all-cause, CVD, and cancer death (proportion of mediation effect: 13.10%, 9.22%, and 6.07%, respectively, all p < 0.05). CONCLUSION Both increased circulating levels of ANGPTL8 and RC are the risk factors for all-cause, CVD, and cancer death and RC partially mediates the association between ANGPTL8 and death risk.
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Affiliation(s)
- Peiqiong Luo
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Danpei Li
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Yaming Guo
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Xiaoyu Meng
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Ranran Kan
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Limeng Pan
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Yuxi Xiang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Beibei Mao
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Yi He
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Siyi Wang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Yan Yang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Zhelong Liu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Junhui Xie
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Benping Zhang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Wentao He
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Shuhong Hu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Xinrong Zhou
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China
| | - Xuefeng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China.
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, 430030, Hubei, China.
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Martin SS, Aday AW, Allen NB, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Bansal N, Beaton AZ, Commodore-Mensah Y, Currie ME, Elkind MSV, Fan W, Generoso G, Gibbs BB, Heard DG, Hiremath S, Johansen MC, Kazi DS, Ko D, Leppert MH, Magnani JW, Michos ED, Mussolino ME, Parikh NI, Perman SM, Rezk-Hanna M, Roth GA, Shah NS, Springer MV, St-Onge MP, Thacker EL, Urbut SM, Van Spall HGC, Voeks JH, Whelton SP, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2025; 151:e41-e660. [PMID: 39866113 DOI: 10.1161/cir.0000000000001303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2025]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2025 AHA Statistical Update is the product of a full year's worth of effort in 2024 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. This year's edition includes a continued focus on health equity across several key domains and enhanced global data that reflect improved methods and incorporation of ≈3000 new data sources since last year's Statistical Update. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Kim BJ, Lee MY, Cho EH, Jang Y, Kang J. Remnant cholesterol and cardiovascular and all-cause mortality in Korean adults. J Clin Lipidol 2025:S1933-2874(25)00036-4. [PMID: 40102116 DOI: 10.1016/j.jacl.2025.02.014] [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: 12/02/2024] [Revised: 02/12/2025] [Accepted: 02/15/2025] [Indexed: 03/20/2025]
Abstract
BACKGROUND Previous studies have investigated the relationship between remnant cholesterol (RC) and mortality outcomes in the general population, but the majority have focused on Western populations. OBJECTIVE This study aims to evaluate the association between RC and mortality-related outcomes in a relatively young and middle-aged Korean population. METHODS This cohort study included 268,219 participants (mean age, 38 years; 50.6% men) who were enrolled in the Kangbuk Samsung Health Study between 2003 and 2016. Fasting RC was calculated as total cholesterol minus low-density lipoprotein cholesterol minus high-density lipoprotein cholesterol. RESULTS The median RC was 0.47 mmol/L (18 mg/dL) and the prevalence of ≥1 mmol/L RC was 11.4%. During the median follow-up of 6.7 years, compared with the lowest quintile (RC <0.31 mmol/L), the hazard ratios (HRs) and 95% CIs for cardiovascular mortality were 1.95 [0.78, 4.84], 2.47 [1.03, 5.91], 2.39 [1.00, 5.72], and 2.84 [1.19, 6.78] in the second, third, fourth, and highest quintiles, respectively. The HRs for all-cause mortality in the third, fourth, and highest quintiles remained significant but were not significant for the risk of cancer mortality. Subgroup analyses showed that the high RC group with high-sensitivity C-reactive protein (hsCRP) or high lipoprotein(a) levels had more than 2-fold and 3-fold increased risks of cardiovascular mortality than the low RC group with low hsCRP or low lipoprotein(a) levels. CONCLUSION High RC levels were significantly associated with an increased risk of cardiovascular and all-cause mortality, but not with cancer mortality. Specifically, high hsCRP and lipoprotein(a) levels weighted the risk association between high RC and cardiovascular mortality.
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Affiliation(s)
- Byung Jin Kim
- Division of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Dr Kim).
| | - Mi Yeon Lee
- Division of Biostatistics, Department of R&D Management, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Dr Lee)
| | - Eun Hye Cho
- Department of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Dr Cho)
| | - Youngwoo Jang
- Department of Cardiology, Gachon University Gil Medical Center, Gachon University, College of Medicine, Incheon, Republic of Korea (Dr Jang)
| | - Jeonggyu Kang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Dr Kang)
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Zhou T, Lin W, Yang B, Liu Y, Huang W, Xie N, Yang F, Lin Z, Hu Z, Luo S, Luo J. Remnant cholesterol and risk of aortic aneurysm and dissection: a prospective cohort Study from the UK biobank study and mendelian randomization analysis. Lipids Health Dis 2025; 24:53. [PMID: 39962497 PMCID: PMC11831829 DOI: 10.1186/s12944-025-02466-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Accepted: 02/04/2025] [Indexed: 02/21/2025] Open
Abstract
AIM This study aimed to examine the relationships between remnant cholesterol (RC) and the risk of aortic aneurysm and dissection (AAD). METHODS This prospective cohort study included 368,139 European adults from the UK Biobank. Additionally, the causal relationship between RC and AAD was investigated using Mendelian randomization (MR) analyses. RESULTS During a median follow-up of 13.65 years, 1,634 cases of abdominal aortic aneurysm (AAA), 698 cases of thoracic aortic aneurysm (TAA), and 184 cases of aortic dissection (AD) were identified. Elevated RC levels were associated with an increased risk of AAA compared to the reference group ([highest vs. lowest RC levels]: adjusted hazard ratio (HR) = 1.65, 95% CI: 1.36-1.99). However, no significant association was observed between high RC levels and the risk of either TAA or AD. Two-sample MR analyses supported a significant causal effect of RC on AAA risk (odds ratio (OR) = 2.08, 95% CI: 1.70-2.56). The association between RC and AAA persisted after adjusting for the effects of RC-associated genetic variants on low-density lipoprotein cholesterol (LDL-C). In contrast, MR analyses did not indicate any causal associations between RC and TAA or AD. CONCLUSIONS Elevated RC was linked to a greater risk of developing AAA, with MR analyses confirming a causal relationship. These findings suggest that RC may function as a new biomarker for AAA and could be integral to strategies aimed at preventing AAA.
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Affiliation(s)
- Ting Zhou
- Department of Cardiovascular, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Wenhui Lin
- Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Bangyuan Yang
- Department of Cardiovascular, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Yuan Liu
- Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wenhui Huang
- Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Nianjin Xie
- Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Fan Yang
- Department of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhuoheng Lin
- Department of Cardiovascular, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Ziyang Hu
- Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Songyuan Luo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Ganzhou Municipal Hospital, Southern Medical University, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou, China.
| | - Jianfang Luo
- Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
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Drexel H, Mader A, Larcher B, Festa A, Vonbank A, Fraunberger P, Leiherer A, Saely CH. Remnant cholesterol and long-term incidence of death in coronary artery disease patients. Atherosclerosis 2025; 401:119048. [PMID: 39632214 DOI: 10.1016/j.atherosclerosis.2024.119048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 11/04/2024] [Accepted: 11/05/2024] [Indexed: 12/07/2024]
Abstract
BACKGROUND Remnant cholesterol (RC), defined as non-HDL-non-LDL cholesterol, has attracted recent scientific interest as a candidate lipid factor for residual cardiovascular risk. Despite a rising amount of epidemiologic information, there are imprecisions because most available data arise from non-fasting, frozen and calculated values. METHODS We enrolled 1474 consecutive patients with angiographically proven CAD, and measured RC in strictly fasting, non-frozen samples with a direct assay for LDL-C. Prospectively, all-cause mortality, cardiovascular mortality, and major adverse cardiovascular events (MACE) were recorded over a mean follow-up period of 11.6 ± 5.0 years, covering 17098 patient years. RESULTS During follow-up, CAD patients had a rate of all-cause mortality of 52.2 % (n = 769), of cardiovascular mortality of 20.6 % (n = 303), and an incidence of major adverse cardiovascular events (MACE) of 39.1 % (n = 576). Prospectively, RC was associated with all-cause mortality (HR 1.12 [1.03-1.23], p = 0.009), cardiovascular mortality (HR 1.20 [1.06-1.36], p = 0.005), and MACE (HR 1.10 [1.01-1.21], p = 0.033) in Cox regression analyses across various levels of adjustment (age, sex, smoking, LDL-C, HDL-C, hypertension, T2DM, and BMI). Findings did not differ between women and men. Furthermore, there was no discernible influence of statin treatment. CONCLUSIONS From our data we conclude that RC is associated with future all-cause mortality, cardiovascular mortality and MACE in patients with established coronary artery disease. Proper pre-analytic and analytic methods provided, RC represents a reliable indicator of residual risk.
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Affiliation(s)
- Heinz Drexel
- VIVIT-Institute, Academic Teaching Hospital Feldkirch, Feldkirch, Austria; Private University in the Principality of Liechtenstein, Triesen, Liechtenstein; Drexel University College of Medicine, Philadelphia, PA, USA.
| | - Arthur Mader
- VIVIT-Institute, Academic Teaching Hospital Feldkirch, Feldkirch, Austria; Department of Medicine I, Academic Teaching Hospital Feldkirch, Feldkirch, Austria
| | - Barbara Larcher
- VIVIT-Institute, Academic Teaching Hospital Feldkirch, Feldkirch, Austria; Private University in the Principality of Liechtenstein, Triesen, Liechtenstein
| | - Andreas Festa
- VIVIT-Institute, Academic Teaching Hospital Feldkirch, Feldkirch, Austria; Private University in the Principality of Liechtenstein, Triesen, Liechtenstein
| | - Alexander Vonbank
- VIVIT-Institute, Academic Teaching Hospital Feldkirch, Feldkirch, Austria; Department of Medicine I, Academic Teaching Hospital Feldkirch, Feldkirch, Austria
| | | | - Andreas Leiherer
- VIVIT-Institute, Academic Teaching Hospital Feldkirch, Feldkirch, Austria; Private University in the Principality of Liechtenstein, Triesen, Liechtenstein; Medical Central Laboratories, Feldkirch, Austria
| | - Christoph H Saely
- VIVIT-Institute, Academic Teaching Hospital Feldkirch, Feldkirch, Austria; Private University in the Principality of Liechtenstein, Triesen, Liechtenstein; Drexel University College of Medicine, Philadelphia, PA, USA
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Torres-Costoso A, Martínez-Vizcaíno V, Oliveira A, Sánchez-López M, Rodríguez-Gutiérrez E, de Arenas-Arroyo SN, Solera-Martínez M, Notario-Pacheco B, Martínez-Madrid V, Mesas AE. Beyond LDL cholesterol: remnant cholesterol is associated with cardiometabolic risk factors in children. BMC Med 2025; 23:28. [PMID: 39838462 PMCID: PMC11752687 DOI: 10.1186/s12916-025-03859-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2024] [Accepted: 01/09/2025] [Indexed: 01/23/2025] Open
Abstract
BACKGROUND Recent evidence from both randomized controlled trials and cohort studies in adults suggests that plasma remnant cholesterol (RC) levels predict cardiovascular disease. In children, studies are scarce, although high levels of RC might represent a marker of early atherosclerotic damage. Thus, the aim of this study was to explore the cardiometabolic risk associated with RC, which extends beyond low-density lipoprotein cholesterol (LDL-c) in children. METHODS Cardiometabolic risk factors (plasma insulin levels, homeostatic model assessment for insulin resistance, mean arterial blood pressure (MAP), waist circumference (WC), and cardiorespiratory fitness (CRF)) were examined in 3417 Spanish schoolchildren aged 8-11 years. The children were categorized into four subgroups (low vs. high) based on the cutoff of ≥ 110 mg/dL for LDL-c and of ≥ 15 mg/dL for RC to define higher levels, and ANCOVA models were applied to assess the role of both lipid parameters in cardiometabolic risk. Additionally, multilevel mixed-effects generalized linear regression models were used to assess the associations of RC or LDL-c with cardiometabolic risk factors and to examine whether the associations between RC and these factors varied in children with low or high LDL-c levels. RESULTS Children in the high-RC subgroups, specifically those with low LDL-c/high RC and high LDL-c/high RC, presented significantly greater insulin levels and WC than did their peers in the low-RC subgroups. RC was more strongly associated with cardiometabolic risk factors than LDL-c (insulin β = 2.073/ - 0.026; HOMA-IR β = 0.451/ - 0.002; MAP β = 1.214/0.300; WC β = 2.842/1.058; and CRF β = - 0.316/ - 0.194 for RC and LDL-c, respectively). Furthermore, RC exhibited associations even in children with low LDL-c levels: insulin (β = 2.305; p < 0.001), HOMA-IR (β = 0.499; p < 0.001), MAP (β = 1.397, p < 0.001), WC (β = 2.842; p < 0.001), and CRF (β = - 0.367; p < 0.001). CONCLUSIONS The associations between RC and cardiometabolic risk factors were stronger than those between LDL-c and cardiometabolic risk, extending its significance even in children with low LDL-c levels. These findings may be clinically useful for cardiovascular risk stratification and for guiding future interventions in children, although they should be confirmed by longitudinal studies.
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Affiliation(s)
- Ana Torres-Costoso
- Faculty of Physiotherapy and Nursing, Universidad de Castilla-La Mancha, Toledo, Spain
- Health and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain
| | - Vicente Martínez-Vizcaíno
- Health and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain.
- Universidad Autónoma de Chile. Facultad de Ciencias de La Salud, Talca, Chile.
| | - Andreia Oliveira
- EPIUnit-Instituto de Saúde Pública da Universidade Do Porto (Institute of Public Health of the University of Porto), Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), [Laboratory for Integrative and Translational Research in Population Health], Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica da Faculdade de Medicina da, Universidade Do Porto, Porto, Portugal
| | - Mairena Sánchez-López
- Health and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain
- School of Education, Universidad de Castilla-La Mancha, Ciudad Real, Spain
| | | | | | - Montserrat Solera-Martínez
- Health and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain
- Faculty of Nursing, Universidad de Castilla La Mancha, Cuenca, Spain
| | - Blanca Notario-Pacheco
- Health and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain
- Faculty of Nursing, Universidad de Castilla La Mancha, Cuenca, Spain
| | | | - Arthur Eumann Mesas
- Health and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain
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Li Y, Zeng Q, Peng D, Hu P, Luo J, Zheng K, Yin Y, Si R, Xiao J, Li S, Fu J, Liu J, Huang Y. Association of remnant cholesterol with insulin resistance and type 2 diabetes: mediation analyses from NHANES 1999-2020. Lipids Health Dis 2024; 23:404. [PMID: 39695677 DOI: 10.1186/s12944-024-02393-6] [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: 09/26/2024] [Accepted: 12/01/2024] [Indexed: 12/20/2024] Open
Abstract
BACKGROUND Previous studies have established a correlation between elevated levels of remnant cholesterol (RC) and the occurrence of type 2 diabetes mellitus (T2D) as well as insulin resistance (IR); however, the precise nature of these associations remains incompletely elucidated. This study aimed to evaluate the relationships between RC and IR, as well as RC and T2D, and to determine the extent to which IR mediated the relationship between RC and T2D. METHODS This was an observational study that utilized cross-sectional methods to examine the general population in the National Health and Nutrition Examination Survey (NHANES) 1999-2020. The participants were divided into 4 groups according to the RC quartiles. The outcome was the prevalence of IR and T2D. Survey-weighted binary logistic regression analysis was used to analyze the associations, and the restricted cubic spline (RCS) curve was used to further analyze the nonlinear relationship. Receiver operating characteristic (ROC) curves were generated to evaluate the diagnostic performance, and the areas under the curves (AUC) of RC, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) were compared using the DeLong test. The mediating effect of IR on the relationship between RC and T2D was evaluated through mediation analysis. RESULTS A total of 23,755 participants (46.02 ± 18.48 years, 48.8% male) were included in our study. Higher RC levels were significantly associated with increased prevalence of both IR and T2D. After adjusting for potential confounders, logistic regression analysis showed that higher RC quartiles were associated with the increased prevalence of IR [Quartile 4 vs. Quartile 1: odds ratio (OR) (95% confidence interval, CI): 1.65 (1.41-1.94), p < 0.001] and T2D [Quartile 4 vs. Quartile 1: OR (95% CI): 1.24 (1.03-1.50), p = 0.024]. RCS analysis revealed two distinct nonlinear relationships: one between RC levels and the prevalence of IR (nonlinear p < 0.001), and another between RC levels and the prevalence of T2D (nonlinear p < 0.001). ROC curve analysis demonstrated that RC had the highest discriminative ability, significantly outperforming LDL-C, HDL-C, and TG in predicting both IR and T2D risk (all P < 0.001 by DeLong test). Mediation analysis revealed that IR significantly mediated the relationship between RC and T2D, with approximately 54.1% of the effect of RC on T2D being indirect through IR. CONCLUSIONS Higher RC level was associated with increased prevalence of IR and T2D. IR mediated 54.1% of the association between RC and T2D, suggesting that managing IR could be crucial in reducing the risk of T2D in individuals with elevated RC levels.
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Affiliation(s)
- Yuying Li
- School of Basic Medical Sciences, Capital medical university, Beijing, China
| | - Qiao Zeng
- School of Medical Technology and Nursing, Ji'an College, Ji'an, Jiangxi, China
| | - Danping Peng
- Department of Endocrinology, Ji'an Central Hospital, Ji'an, Jiangxi, China
| | - Pingsheng Hu
- Department of Respiratory and Critical Care Medicine, Ji'an Central Hospital, Ji'an, Jiangxi, China
| | - Jiahua Luo
- Department of Neurology, Ji'an Central Hospital, Ji'an, Jiangxi, China
| | - Keyang Zheng
- Department of General Practice, Beijing Nuclear Industry Hospital, Beijing, China
| | - Yuzhe Yin
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Rite Si
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, National Clinical Research Center for Mental Disorders &National Center for Mental Disorders, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jingyi Xiao
- The Sixth Clinical Medical School, Capital Medical University, Beijing, China
| | - Shaofen Li
- Department of Laboratory, Ji'an Central Hospital, Ji'an, Jiangxi, China
| | - Jinxiang Fu
- Department of Endocrinology, Ji'an Central Hospital, Ji'an, Jiangxi, China
| | - Jinping Liu
- Department of Endocrinology, Ji'an Central Hospital, Ji'an, Jiangxi, China
| | - Yuqing Huang
- Department of Endocrinology, Affiliated Hospital of Jinggangshan University, No.1,Quanshuiyan Road,Jizhou District, Ji'an City, 343000, Jiangxi Province, China.
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11
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Li X, Hu JG, Liao Q, Wu Y, Huo RR. Triglyceride-glucose index mediates the association between residual cholesterol and stroke among middle-aged and older adults in China: a prospective, nationwide, population-based study. Front Cardiovasc Med 2024; 11:1429993. [PMID: 39713218 PMCID: PMC11660090 DOI: 10.3389/fcvm.2024.1429993] [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: 05/09/2024] [Accepted: 11/21/2024] [Indexed: 12/24/2024] Open
Abstract
Background Both triglyceride-glucose (TyG) index and residual cholesterol (RC) are predictors of stroke; however, to what extent the RC is associated with stroke through TyG index is unclear. This study examined whether the TyG index mediates the association of RC with incident stroke and the extent of interaction or joint relations of RC and TyG index with stroke in middle-aged and older Chinese adults. Methods This is an ongoing prospective cohort study initiated in 2011 that included 10,569 middle-aged and older Chinese adults without stroke at baseline. The exposure was RC, the mediator was TyG index, and the outcome was stroke which followed up from June, 2011, to June, 2018. Mediation analysis was used to explore whether the TyG index mediated the association between RC and stroke risk. Results Of the 10,569 participants, 4,978 (47.1%) were men; the mean (SD) age was 59.01 (9.43) years. During a median follow-up of 7.1 years, 734 (7.0%) participants experienced a stroke. In the adjusted Cox models, A one SD increase in RC was associated with an elevated risk of stroke (HR, 1.09; 95% CI, 1.02-1.16), as well as TyG index (HR, 1.14; 95% CI, 1.06-1.23). No significant multiplicative or additive interactions were found between the TyG index and RC on stroke risk (HR for multiplicative: 1.07, 95% CI, 0.67-1.70; Synergy index: 1.05, 95% CI, 0.16-6.88). TyG index mediated the association between RC and stroke (b, -0.16; 95% CI, -0.30 to -0.03). Subgroup analyses and sensitivity analyses showed consistent results. Conclusions This study evidence that the TyG index completely mediates the association between RC and stroke risk among middle-aged and older Chinese adults. These findings highlight the importance of considering RC and the TyG index in stroke risk assessment.
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Affiliation(s)
- Xu Li
- Guangxi Health Commission Key Laboratory of Clinical Biotechnology, Liuzhou People’s Hospital, Liuzhou, China
| | - Jia-Guang Hu
- Division of Infectious Diseases, Liuzhou People’s Hospital, Liuzhou, China
| | - Qian Liao
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Ying Wu
- Guangxi Health Commission Key Laboratory of Clinical Biotechnology, Liuzhou People’s Hospital, Liuzhou, China
| | - Rong-Rui Huo
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China
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12
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Tang J, Tang T, Yu Q, Tong X, Liu C, Chen C, Hu S, Zhang S, You Y, Wang C, Li J, Wen W, Chen J, Zhang X, Wang M, Tong F. Association Between Remnant Cholesterol and Nonalcoholic Fatty Liver Disease: A Systemic Review and Meta-Analysis. Metab Syndr Relat Disord 2024; 22:637-645. [PMID: 39158352 DOI: 10.1089/met.2024.0042] [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] [Indexed: 08/20/2024] Open
Abstract
Lipid disorders are related to the risk of nonalcoholic fatty liver disease (NAFLD). Remnant cholesterol (RC), a nonclassical and once-neglected risk factor for NAFLD, has recently received new attention. In this study, we assessed the relationship between the RC levels and NAFLD risk. We searched across PubMed, Web of Science, Embase, Cochrane Library, and China National Knowledge Infrastructure, with no restrictions on publication languages. Retrospective cohort studies and cross-sectional studies were enrolled from the inception of the databases until August 6, 2023. A random-effect model was applied to construct the mean difference, and a 95% confidence interval was applied to assess the relationship between the RC levels and NAFLD risk. We used two methods to estimate RC levels: Calculated-1 subtracts low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol from total cholesterol; Calculated-2 uses the Friedewald formula for LDL-C when triglycerides are <4.0 mmol/L, otherwise directly measured. A total of 265 published studies were selected through preliminary retrieval. Of these, six studies met the inclusion requirements and were enrolled in the meta-analysis. The RC level in the NAFLD group was significantly higher than that in the non-NAFLD group (mean difference: 0.18, 95% confidence interval: 0.10-0.26, P < 0.00001). We conducted subgroup analyses of computational methods and geographic regions. Notably, in the subgroup analysis of Calculation Method 2, the NAFLD group had significantly higher RC levels than the non-NAFLD group. On the other hand, in Calculation Method 1, the difference between the two groups was insignificant. In both the Asian and non-Asian populations, the RC levels were significantly higher in the NAFLD group than in the non-NAFLD group. The association of RC with an increased NAFLD risk was not dependent on the triglyceride. This meta-analysis suggests that elevated RC levels are associated with an increased risk of NAFLD. In addition to the conventional risk factors for fatty liver, clinicians should be concerned about the RC levels in the clinic.
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Affiliation(s)
- Jiake Tang
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Ting Tang
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Qingwen Yu
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Xuhan Tong
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Chun Liu
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Chen Chen
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Siqi Hu
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Shenghui Zhang
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Yao You
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Chunyi Wang
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Jie Li
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Wen Wen
- Department of Cardiology, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, Zhejiang, China
| | - Juan Chen
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Xingwei Zhang
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Mingwei Wang
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
- Hangzhou Lin'an Fourth People's Hospital, Hangzhou, China
| | - Fan Tong
- Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
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13
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Jia YP, Wang JM, Lyu JQ, Yang HH, Miao MY, Wang X, Wan ZX, Zheng Y, Qin LQ, Li FR, Chen GC. Triglyceride-rich lipoproteins cholesterol, 10-years atherosclerotic cardiovascular disease risk, and risk of myocardial infarction and ischemic stroke. J Lipid Res 2024; 65:100653. [PMID: 39307396 PMCID: PMC11536055 DOI: 10.1016/j.jlr.2024.100653] [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: 03/13/2024] [Revised: 09/13/2024] [Accepted: 09/17/2024] [Indexed: 10/25/2024] Open
Abstract
Triglyceride-rich lipoproteins cholesterol (TRLs-C) has been associated with atherosclerotic cardiovascular disease (ASCVD), even among individuals with low-density lipoprotein cholesterol in the targeted range. We assessed the associations of TRLs-C with myocardial infarction (MI) and ischemic stroke (IS) and compared the associations with those for other traditional lipids (i.e., triglycerides and non-high-density lipoprotein cholesterol [non-HDL-C]). Included were 327,899 participants from the UK Biobank who were free of MI or IS and did not receive lipid-lowering treatment at baseline. Ten-year risk for ASCVD was estimated by the Pooled Cohort Equations and was grouped as low (<7.5%), intermediate (7.5% to <20%), and high risk (≥20%). Multivariable Cox regression models were used to examine the associations of TRLs-C, triglycerides, and non-HDL-C with risk of MI and IS, overall and by the 10-years risk categories. During a median of 12.3 years of follow-up, 8,358 incident MI and 4,400 incident IS cases were identified. After multivariable adjustment, higher TRLs-C was associated with a higher risk of MI (p-trend <0.0001) but not IS (p-trend = 0.074), with similar associations for triglycerides and non-HDL-C. There were interactions between TRLs-C and 10-years ASCVD risk on risk of MI (p-interaction <0.0001) and IS (p-interaction = 0.0003). Hazard ratios (95% CIs) of MI comparing the highest with the lowest quartiles of TRLs-C were 2.10 (1.23-1.30) in the low-risk group, 1.52 (1.38-1.69) in the intermediate-risk group, and 1.22 (1.03-1.45) in the high-risk group. The corresponding estimates for IS were 1.24 (1.05-1.45), 0.94 (0.83-1.07), and 0.83 (0.67-1.04), respectively. Similar interactions with the 10-years ASCVD risk were observed for triglycerides and non-HDL-C on risk of MI and for triglycerides on risk of IS. Elevated levels of TRLs-C (or triglycerides or non-HDL-C) are associated with a higher risk of developing MI and IS (except non-HDL-C) predominantly among individuals who are typically classified as being low-risk. These findings may have implications for more detailed risk stratification and early intervention.
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Affiliation(s)
- Yi-Ping Jia
- Department of Nutrition and Food Hygiene, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Jia-Min Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Jie-Qiong Lyu
- Department of Nutrition and Food Hygiene, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Huan-Huan Yang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Meng-Yuan Miao
- Department of Nutrition and Food Hygiene, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Xiaowen Wang
- Peking University Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
| | - Zhong-Xiao Wan
- Department of Nutrition and Food Hygiene, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China; Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China; National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Li-Qiang Qin
- Department of Nutrition and Food Hygiene, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Fu-Rong Li
- Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, China; School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
| | - Guo-Chong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China.
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Wang H, Guo Y, Zhang H, Wang X, Zheng X. The U-shaped association between remnant cholesterol and risk of all-cause and cardiovascular deaths in diabetic adults: Findings from NHANES 1999-2018. Nutr Metab Cardiovasc Dis 2024; 34:2282-2288. [PMID: 38866618 DOI: 10.1016/j.numecd.2024.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 05/02/2024] [Accepted: 05/10/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND AND AIMS We aimed to explore the association between remnant cholesterol (RC) level and risks of all-cause and cardiovascular deaths among American diabetic adults. METHODS AND RESULTS The data of 4,095 diabetic participants from the National Health and Nutrition Examination Survey (1999-2018) were included for analysis. Deaths were ascertained till December 31, 2019. RC level associated with death was assessed on a continuous scale with restricted cubic splines and by pre-defined quartile groups with Cox regression analysis. After a median follow-up of 6.9 years, 1,060 all-cause and 289 cardiovascular deaths occurred. Association between RC and death was U-shaped, and RC level correlated with the lowest risks of both all-cause and cardiovascular deaths was 0.85 mmol/L. After adjusting for confounders, compared with Quartile 3 (0.66-0.93 mmol/L), hazard ratios for all-cause deaths were 1.43 (95%CI 1.18-1.72, P = 0.0002) in Quartile 1 (≤0.47 mmol/L), 1.20 (95%CI 1.00-1.44, P = 0.05) in Quartile 2 (0.47-0.66 mmol/L), and 1.25 (95%CI 1.05-1.49, P = 0.02) in Quartile 4 (>0.93 mmol/L). Higher risk was also observed for cardiovascular deaths in Quartile 1 (HR 1.66, 95%CI 1.15-2.41, P = 0.007), Quartile 2 (HR 1.39, 95%CI 0.97-2.00, P = 0.08), and Quartile 4 (HR 1.54, 95% CI 1.08-2.19, P = 0.02), as compared with Quartile 3. CONCLUSION In US adults with diabetes, low and high levels of RC were associated with increased risks of all-cause and cardiovascular deaths, and the lowest risk was observed at RC level of 0.85 mmol/L. These findings suggested that maintaining appropriate RC level may help reduce risk of death in diabetic patients.
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Affiliation(s)
- Haixu Wang
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Yuanlin Guo
- Cardiometabolic Medicine Center, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haibo Zhang
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Xiuling Wang
- Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China; National Clinical Research Center for Cardiovascular Diseases, Shenzhen, China; Coronary Artery Disease Center, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China.
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Li L, Lai J, Zhang J, Van Spall HGC, Thabane L, Lip GYH, Li G. Remnant cholesterol and risk of premature mortality: an analysis from a nationwide prospective cohort study. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2024; 10:543-551. [PMID: 38100387 DOI: 10.1093/ehjqcco/qcad071] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 12/12/2023] [Indexed: 12/17/2023]
Abstract
AIMS To explore the relationship between remnant cholesterol (RC) and the risk of premature mortality as well as life expectancy in the general population. METHODS We included a total of 428 804 participants from the UK Biobank for analyses. Equivalent population percentiles approach based on the low-density lipoprotein cholesterol cut-off points was performed to categorize participants into three RC groups: low (with a mean RC of 0.34 mmol/L), moderate (0.53 mmol/L), and high (1.02 mmol/L). We used multivariable Cox proportional hazards models to evaluate the relationship between RC groups and the risk of premature mortality (defined as death before age 75 years). Life table methods were used to estimate life expectancy by RC groups. RESULTS During a median follow-up of 12.1 years (Q1-Q3 11.0-13.0), there were 23 693 all-cause premature deaths documented, with an incidence of 4.83 events per 1000 person-years [95% confidence interval (CI): 4.77-4.89]. Compared with the low RC group, the moderate RC group was associated with a 9% increased risk of all-cause premature mortality [hazard ratio (HR) = 1.09, 95% CI: 1.05-1.14], while the high RC group had an 11% higher risk (HR = 1.11, 95% CI: 1.07-1.16). At the age of 50 years, high RC group was associated with an average 2.2 lower years of life expectancy for females, and an average 0.1 lower years of life expectancy for males when compared with their counterparts in the low RC group. CONCLUSIONS Elevated RC was significantly related to an increased risk of premature mortality and a reduced life expectancy. Premature death in the general population would benefit from measurement to aid risk stratification and proactive management of RC to improve cardiovascular risk prevention efforts.
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Affiliation(s)
- Likang Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou 510317, China
| | - Jun Lai
- Department of Cardiology, Guangdong Second Provincial General Hospital, Guangzhou 510317, China
| | - Jingyi Zhang
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou 510317, China
| | - Harriette G C Van Spall
- Department of Medicine, McMaster University, Hamilton, L8N 3Z5 ON, Canada
- Population Health Research Institute, McMaster University, Hamilton, L8L 2X2 ON, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence, and Impact (HEI), McMaster University, Hamilton, L8S 4L8 ON, Canada
- Centre for Evaluation of Medicines, St Joseph's Health Care, Hamilton, L8N 4A6 ON, Canada
- Faculty of Health Sciences, University of Johannesburg, Johannesburg 2094, South Africa
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool L7 8TX, UK
- Department of Clinical Medicine, Aalborg University, Aalborg 9000, Denmark
| | - Guowei Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou 510317, China
- Department of Health Research Methods, Evidence, and Impact (HEI), McMaster University, Hamilton, L8S 4L8 ON, Canada
- Father Sean O'Sullivan Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, L8N 4A6 ON, Canada
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Yang B, Ma X, Yang L, Bian G, Qiao B, Lu H, Wang Z, Zhang T, Cheng Y. Trends and Prospects of Low-Density Lipoprotein Cholesterol in Stroke: A Bibliometric Analysis. Cureus 2024; 16:e69492. [PMID: 39421126 PMCID: PMC11485023 DOI: 10.7759/cureus.69492] [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: 09/15/2024] [Indexed: 10/19/2024] Open
Abstract
Management of low-density lipoprotein cholesterol (LDL-C) in stroke is a crucial component of cardiovascular disease care. Recent years have seen substantial progress in understanding and managing LDL-C in the context of stroke. This study utilized bibliometric methods to analyze and synthesize trends in this area over the past decade, incorporating 2,841 publications from the Web of Science database. The analyses included trend topic analysis, co-authorship analysis, and co-citation analysis. The findings indicate that research had predominantly concentrated on epidemiological studies related to pharmacological management strategies. Future research is expected to continue exploring lipid-lowering therapies, including both established treatments like statins and newer drugs such as proprotein convertase subtilisin-kexin type 9 inhibitors. Assessing residual cholesterol and employing Mendelian randomization techniques may become potential research hotspots. The New England Journal of Medicine is the most globally influential journal, while Circulation holds the most influence within the field, and Atherosclerosis ranks as the most prolific. International collaboration in this research area was strong between the USA and England, followed by the USA and China. However, collaboration between productive institutions in the USA and China remains limited, highlighting the need to strengthen partnerships between these institutions to further advance the field.
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Affiliation(s)
- Bofeng Yang
- Department of Neurology, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, CHN
| | - Xianjun Ma
- Department of Neurology, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, CHN
| | - Li Yang
- Department of Acupuncture, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, CHN
| | - Guangrong Bian
- Department of Neurology, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, CHN
| | - Benyu Qiao
- Department of Neurology, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, CHN
| | - Hongxiang Lu
- Department of Laboratory Medicine, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, CHN
| | - Zhuqing Wang
- Department of Laboratory Medicine, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, CHN
| | - Tian Zhang
- Department of Laboratory Medicine, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, CHN
| | - Ying Cheng
- Department of Laboratory Medicine, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, CHN
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17
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Cao B, Li K, Ke J, Zhao D. Trajectories of Remnant Cholesterol are Associated with Diabetic Foot Ulcer in Adult Patients with Type 2 Diabetes: A Retrospective Cohort Study. Diabetes Metab Syndr Obes 2024; 17:3043-3051. [PMID: 39166153 PMCID: PMC11334913 DOI: 10.2147/dmso.s461330] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 07/03/2024] [Indexed: 08/22/2024] Open
Abstract
Objective This study aimed to investigate the potential association between long-term variations in remnant cholesterol (RC) levels and the development of diabetic foot ulcers (DFU) in participants with type 2 diabetes (T2D). Methods This was a retrospective cohort study. Variation in RC was assessed by the following metrics: mean, standard deviation (SD), coefficient of variation (CV) and trajectories pattern of RC. To identify RC trajectories, we employed the latent class mixture model. The primary endpoint was the development of DFU, and the time-to-event data were analyzed using Cox regression. Results A total of 1874 patients with T2D were included, with a median follow-up duration of 4.7 years. Among them, 129 individuals (6.9%) developed DFU. The proportion of DFU was significantly higher in the U-shaped group compared to the median group (P for trend < 0.001). Upon adjustment for confounding variables, the U-shaped trajectory correlated with a higher risk of DFU, demonstrating a hazard ratio (HR) of 2.57 (95% CI, 1.54-4.27). Subgroup analysis showed the U-shaped trajectory had a higher DFU risk regardless of gender (HR=2.40 and 2.81, respectively), glycemic control (HR=1.89 and 7.41, respectively), smoking (HR=2.36 and 2.93, respectively), or hypertension (HR=2.30 and 2.97, respectively). No association was found between mean, SD and CV of RC and DFU. Conclusion A U-shape trajectory of RC was independently associated with an elevated risk of DFU among patients with T2D.
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Affiliation(s)
- Bin Cao
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, People’s Republic of China
- Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, People’s Republic of China
| | - Kun Li
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, People’s Republic of China
- Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, People’s Republic of China
| | - Jing Ke
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, People’s Republic of China
- Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, People’s Republic of China
| | - Dong Zhao
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, People’s Republic of China
- Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, People’s Republic of China
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Guo W, Lu J, Li X, Zhao X, Xu N, Diao Q, Jia J, Zhang Q. Remnant cholesterol is associated with the progression and regression of metabolic dysfunction-associated steatotic liver disease in Chinese adults. J Clin Lipidol 2024; 18:e509-e517. [PMID: 38960813 DOI: 10.1016/j.jacl.2024.03.006] [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: 08/01/2023] [Revised: 01/06/2024] [Accepted: 03/21/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND The aim of this study was to explore the associations of serum remnant cholesterol (RC) levels with the progression and regression of metabolic dysfunction-associated steatotic liver disease (MASLD) in Chinese adults. METHODS We conducted a cross-sectional study in 13,903 individuals who underwent transient elastography tests (cohort 1) and a longitudinal study in 17,752 individuals who underwent at least two health check-up exams with abdominal ultrasound (cohort 2). Anthropometric and biochemical parameters were collected. Serum RC levels were calculated. Noninvasive fibrosis indices such as FIB-4 were evaluated in cohort 2. RESULTS In cohort 1, serum RC levels were positively and independently associated with the severity of hepatic steatosis and liver fibrosis according to logistic regression analysis. In cohort 2, baseline serum RC levels were increased in participants with the incidence of MASLD and decreased in participants with the regression of MASLD during the follow-up period. Baseline serum RC levels were independently associated with an increased risk of development and a decreased likelihood of regression of MASLD: the fully adjusted hazard ratios (HR) were 2.785 (95 % CI 2.332-3.236, P < 0.001) and 2.925 (95 % CI 2.361-3.623, P < 0.001), respectively. In addition, when we used FIB-4 to evaluate liver fibrosis, baseline serum RC levels were positively correlated with the incidence of high-intermediate probability of advanced fibrosis. However, we did not find an association between serum RC levels and the regression of liver fibrosis. CONCLUSION Serum RC levels are independently correlated with the progression and regression of MASLD in Chinese adults, suggesting that RC may participate in the pathophysiological process of MASLD.
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Affiliation(s)
- Wen Guo
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University (Wen Guo, Jing Lu, Xiaona Li, Xin Zhao, Nianzhen Xu, Qingqing Diao, Qun Zhang), Nanjing 210029, PR China
| | - Jing Lu
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University (Wen Guo, Jing Lu, Xiaona Li, Xin Zhao, Nianzhen Xu, Qingqing Diao, Qun Zhang), Nanjing 210029, PR China
| | - Xiaona Li
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University (Wen Guo, Jing Lu, Xiaona Li, Xin Zhao, Nianzhen Xu, Qingqing Diao, Qun Zhang), Nanjing 210029, PR China
| | - Xin Zhao
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University (Wen Guo, Jing Lu, Xiaona Li, Xin Zhao, Nianzhen Xu, Qingqing Diao, Qun Zhang), Nanjing 210029, PR China
| | - Nianzhen Xu
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University (Wen Guo, Jing Lu, Xiaona Li, Xin Zhao, Nianzhen Xu, Qingqing Diao, Qun Zhang), Nanjing 210029, PR China
| | - Qingqing Diao
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University (Wen Guo, Jing Lu, Xiaona Li, Xin Zhao, Nianzhen Xu, Qingqing Diao, Qun Zhang), Nanjing 210029, PR China
| | - Jue Jia
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Jiangsu University (Jue Jia), Zhenjiang, 212000, PR China.
| | - Qun Zhang
- Department of Health Promotion Center, the First Affiliated Hospital with Nanjing Medical University (Wen Guo, Jing Lu, Xiaona Li, Xin Zhao, Nianzhen Xu, Qingqing Diao, Qun Zhang), Nanjing 210029, PR China.
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Li L, Wang C, Ye Z, Van Spall HGC, Zhang J, Lip GYH, Li G. Association Between Remnant Cholesterol and Risk of Incident Atrial Fibrillation: Population-Based Evidence From a Large-Scale Prospective Cohort Study. J Am Heart Assoc 2024; 13:e033840. [PMID: 38761084 PMCID: PMC11179806 DOI: 10.1161/jaha.123.033840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 04/15/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Evidence for the relationship between remnant cholesterol (RC) and incident atrial fibrillation (AF) risk remains sparse and limited. METHODS AND RESULTS Participants were enrolled between 2006 and 2010 and followed up to 2021. The multivariable Cox proportional hazards model was used to examine the relationship between RC quartiles and risk of incident AF. Subgroup analyses and sensitivity analyses were performed to explore the potential modification of the association and the robustness of the main findings. A total of 422 316 participants (mean age, 56 years; 54% women) were included for analyses. During a median follow-up of 11.9 years (first quartile-third quartile, 11.6-13.2 years), there were 24 774 AF events documented with an incidence of 4.92 events per 1000 person-years (95% CI, 4.86-4.98). Participants in higher RC quartiles had a lower risk of incident AF than those in the lowest quartile (first quartile): hazard ratio (HR)=0.96 (95% CI, 0.91-1.00) for second quartile; HR=0.92 (95% CI, 0.88-0.96) for third quartile; and HR=0.85 (95% CI, 0.81-0.89) for fourth quartile (P for trend <0.001). The association between RC quartiles and risk of incident AF was stronger in participants aged ≥65 years, in men, and in participants without history of diabetes when compared with control groups (P<0.001 for interaction). CONCLUSIONS On the basis of data from this large-scale prospective cohort study, elevated RC was associated with a lower risk of incident AF.
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Affiliation(s)
- Likang Li
- Center for Clinical Epidemiology and Methodology Guangdong Second Provincial General Hospital Guangzhou China
| | - Chuangshi Wang
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Zebing Ye
- Department of Cardiology Guangdong Second Provincial General Hospital Guangzhou China
| | - Harriette G C Van Spall
- Department of Medicine McMaster University Hamilton ON Canada
- Population Health Research Institute, McMaster University Hamilton ON Canada
| | - Jingyi Zhang
- Center for Clinical Epidemiology and Methodology Guangdong Second Provincial General Hospital Guangzhou China
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool Liverpool John Moores University and Liverpool Heart and Chest Hospital Liverpool UK
- Danish Center for Health Services Research, Department of Clinical Medicine Aalborg University Aalborg Denmark
| | - Guowei Li
- Center for Clinical Epidemiology and Methodology Guangdong Second Provincial General Hospital Guangzhou China
- Father Sean O'Sullivan Research Centre St. Joseph's Healthcare Hamilton Hamilton ON Canada
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Sun J, Zhang J, Xin B, Ye Z, Cai Y, Lu K, Wang Y, Lei X, Zheng C, Cai X. Traditional and Non-Traditional Lipid Parameters in Relation to Parenchymal Hemorrhage Following Endovascular Treatment for Acute Ischemic Stroke in Anterior Circulation. Clin Interv Aging 2024; 19:891-900. [PMID: 38779379 PMCID: PMC11110829 DOI: 10.2147/cia.s459884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 05/11/2024] [Indexed: 05/25/2024] Open
Abstract
Purpose Lipid-lowering therapy is integral in acute ischemic stroke (AIS), yet the connection between lipid parameters and parenchymal hemorrhage (PH) after endovascular treatment (EVT) for AIS is not well-defined. This research aims to assess the association between various lipid parameters and the PH risk following EVT. Patients and Methods We examined a database of patients who underwent EVT for AIS between September 2021 and May 2023 retrospectively. Traditional and non-traditional lipid parameters were documented. PH was identified on dual energy computed tomography images within 48 h. We employed logistic regression analysis and restricted cubic splines to examine the association between various lipid parameters and the risk of PH. The predictive capacity of the lipid parameters for PH was evaluated by comparing the area under the curve. Results The study included 384 patients, 65 of whom (17.7%) developed PH. After adjusting for potential confounders, only triglyceride was associated with PH among the traditional lipid parameters, while all non-traditional lipid parameters were related to PH. Based on ROC curve, the ratio of remnant cholesterol to high-density lipoprotein cholesterol (RC/HDL-C) exhibited the highest predictive capability for PH. Furthermore, our analysis revealed a significant nonlinear correlation between triglyceride, non-high-density lipoprotein cholesterol, RC, RC/HDL-C and PH risk. Conclusion In assessing the risk of PH after EVT, non-traditional lipid parameters are often superior to traditional lipid parameters. It is recommended that routine evaluation of non-traditional lipid parameters could also be conducted in clinical practice as well.
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Affiliation(s)
- Jingping Sun
- Department of Neurology, the Municipal Central Hospital of Lishui, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, People’s Republic of China
- Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, People’s Republic of China
| | - Jun Zhang
- Zhejiang University, School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
| | - Bailong Xin
- Department of Neurology, the Municipal Central Hospital of Lishui, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, People’s Republic of China
| | - Zekang Ye
- Department of Neurology, the Municipal Central Hospital of Lishui, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, People’s Republic of China
- Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, People’s Republic of China
| | - Yaozhuo Cai
- Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, People’s Republic of China
| | - Ke Lu
- Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, People’s Republic of China
| | - Yuzhen Wang
- Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, People’s Republic of China
| | - Xueyao Lei
- Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, People’s Republic of China
| | - Chanjuan Zheng
- Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, People’s Republic of China
| | - Xueli Cai
- Zhejiang University, School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
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Tan Z, Zhang Q, Liu Q, Meng X, Wu W, Wang L, Wu J. Relationship between remnant cholesterol and short-term prognosis in acute ischemic stroke patients. Brain Behav 2024; 14:e3537. [PMID: 38715443 PMCID: PMC11077245 DOI: 10.1002/brb3.3537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 04/17/2024] [Accepted: 04/20/2024] [Indexed: 05/12/2024] Open
Abstract
OBJECTIVE Several studies have illustrated that elevated RC levels are related to a heightened risk of acute ischemic stroke (AIS). Our research aimed to explore the correlation between RC levels and poor prognosis after a 90-day interval in AIS patients. METHODS A total of 287 individuals were enrolled in the study, the primary outcome was defined as poor prognosis. RC was derived by the exclusion of low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) from total cholesterol (TC). RESULTS Following the screening process, 253 AIS patients were included in the study, presenting a median age of 66[57, 75] years. Upon stratifying RC levels into quartiles, those in the top quartile faced a greater likelihood of diabetes diagnosis (42.86%, p = .014) and experienced a higher rate of unfavorable outcomes after 90 days (36.51%, p = .001). After accounting for confounding factors, the correlation between the fourth quartile of RC levels and the amplified likelihood of poor prognosis remained significant (odds ratio (OR) 8.471, 95% confidence interval (CI) (1.841, 38.985); p = .006). Analysis of subgroups unveiled a notable correlation between higher RC levels and poor 90-day prognosis, particularly in individuals with elevated NIHSS scores (p = .044). A progressively increasing 90-day risk of poor prognosis after an RC greater than 0.38 mmol/L was visualized by restricted cubic spline plots (p-overall = .011). CONCLUSIONS Including RC as a contributing element may refine the prediction of poor 90-day prognosis for AIS patients. Integrating RC with traditional risk factors can potentially enhance the predictive value for cerebrovascular disease.
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Affiliation(s)
- Zheng Tan
- Department of NeurologyHefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of HefeiHefeiAnhuiChina
- The Fifth Clinical Medical CollegeAnhui Medical UniversityHefeiAnhuiChina
| | - Qianyun Zhang
- Department of NeurologyHefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of HefeiHefeiAnhuiChina
- The Fifth Clinical Medical CollegeAnhui Medical UniversityHefeiAnhuiChina
| | - Qiuwan Liu
- Department of NeurologyHefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of HefeiHefeiAnhuiChina
| | - Xiaoyin Meng
- Department of NeurologyHefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of HefeiHefeiAnhuiChina
- The Fifth Clinical Medical CollegeAnhui Medical UniversityHefeiAnhuiChina
| | - Wenpei Wu
- Graduate SchoolBengbu Medical CollegeBengbuAnhuiChina
| | - Long Wang
- Department of NeurologyHefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of HefeiHefeiAnhuiChina
| | - Juncang Wu
- Department of NeurologyHefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of HefeiHefeiAnhuiChina
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Elías-López D, Doi T, Nordestgaard BG, Kobylecki CJ. Remnant cholesterol and low-grade inflammation jointly in atherosclerotic cardiovascular disease: implications for clinical trials. Curr Opin Clin Nutr Metab Care 2024; 27:125-135. [PMID: 38320159 DOI: 10.1097/mco.0000000000000999] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
PURPOSE OF REVIEW Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of death despite the development of effective treatments. Recently, elevated remnant cholesterol and low-grade inflammation have emerged as factors explaining part of the residual ASCVD risk. Interestingly, the coexistence of both high remnant cholesterol and low-grade inflammation can further increase the risk of ASCVD. The aim of this review is to describe the role of elevated remnant cholesterol and low-grade inflammation, separately and combined, in ASCVD. RECENT FINDINGS Results from recently published studies, including observational and genetic Mendelian randomization studies, support a causal relationship between elevated remnant cholesterol and low-grade inflammation on risk of ASCVD in both primary and secondary prevention settings. In addition, current evidence from observational studies suggests that the coexistence of elevated remnant cholesterol and low-grade inflammation further increases the risk of ASCVD. SUMMARY Recent observational studies suggest that high remnant cholesterol combined with low-grade inflammation may confer a particular high risk for ASCVD. Attention on the dual threat from high remnant cholesterol and low-grade inflammation is necessary, and further research in this field is warranted. The effect of remnant cholesterol-lowering drugs and anti-inflammatory drugs on ASCVD risk alone and combined remains to be elucidated. VIDEO ABSTRACT http://links.lww.com/COCN/A20.
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Affiliation(s)
- Daniel Elías-López
- Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev Gentofte
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev Gentofte, Herlev, Denmark
- Department of Endocrinology and Metabolism and Research Center of Metabolic Diseases, National Institute of Medical Sciences and Nutrition Salvador Zubirán, México City, México
| | - Takahito Doi
- Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev Gentofte
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev Gentofte, Herlev, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev Gentofte
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev Gentofte, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Camilla J Kobylecki
- Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev Gentofte
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev Gentofte, Herlev, Denmark
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23
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Ai Y, Zhou C, Wang M, Yang C, Zhou S, Dong X, Ye N, Li Y, Wang L, Ren H, Gao X, Xu M, Hu H, Wang Y. Higher remnant cholesterol is associated with an increased risk of amnestic mild cognitive impairment: a community-based cross-sectional study. Front Aging Neurosci 2024; 16:1332767. [PMID: 38410746 PMCID: PMC10894954 DOI: 10.3389/fnagi.2024.1332767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 01/29/2024] [Indexed: 02/28/2024] Open
Abstract
Background and aims Amnestic mild cognitive impairment (aMCI) is the most common subtype of MCI, which carries a significantly high risk of transitioning to Alzheimer's disease. Recently, increasing attention has been given to remnant cholesterol (RC), a non-traditional and previously overlooked risk factor. The aim of this study was to explore the association between plasma RC levels and aMCI. Methods Data were obtained from Brain Health Cognitive Management Team in Wuhan (https://hbtcm.66nao.com/admin/). A total of 1,007 community-dwelling elders were recruited for this project. Based on ten tools including general demographic data, cognitive screening and some exclusion scales, these participants were divided into the aMCI (n = 401) and normal cognitive groups (n = 606). Physical examinations were conducted on all participants, with clinical indicators such as blood pressure, blood sugar, and blood lipids collected. Results The aMCI group had significantly higher RC levels compared to the normal cognitive group (0.64 ± 0.431 vs. 0.52 ± 0.447 mmol/L, p < 0.05). Binary logistics regression revealed that occupation (P<0.001, OR = 0.533, 95%CI: 0.423-0.673) and RC (p = 0.014, OR = 1.477, 95% CI:1.081-2.018) were associated factors for aMCI. Partial correlation analysis, after controlling for occupation, showed a significant negative correlation between RC levels and MoCA scores (r = 0.059, p = 0.046), as well as Naming scores (r = 0.070, p = 0.026). ROC curve analysis demonstrated that RC levels had an independent predictive efficacy in predicting aMCI (AUC = 0.580, 95%CI: 0.544 ~ 0.615, P < 0.001). Conclusion Higher RC levels were identified as an independent indicator for aMCI, particularly in the naming cognitive domain among older individuals. Further longitudinal studies are necessary to validate the predictive efficacy of RC.
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Affiliation(s)
- Yating Ai
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
- Hubei Shizhen Laboratory, Hubei University of Chinese Medicine, Wuhan, China
- Engineering Research Center of TCM Protection Technology and New Product Development for the Elderly Brain Health, Ministry of Education, Hubei University of Chinese Medicine, Wuhan, China
| | - Chunyi Zhou
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Ming Wang
- Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Chongming Yang
- Research Support Center, Brigham Young University, Provo, UT, United States
| | - Shi Zhou
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Xinxiu Dong
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Niansi Ye
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Yucan Li
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Ling Wang
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Hairong Ren
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Xiaolian Gao
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Man Xu
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Hui Hu
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
- Hubei Shizhen Laboratory, Hubei University of Chinese Medicine, Wuhan, China
- Engineering Research Center of TCM Protection Technology and New Product Development for the Elderly Brain Health, Ministry of Education, Hubei University of Chinese Medicine, Wuhan, China
| | - Yuncui Wang
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
- Hubei Shizhen Laboratory, Hubei University of Chinese Medicine, Wuhan, China
- Engineering Research Center of TCM Protection Technology and New Product Development for the Elderly Brain Health, Ministry of Education, Hubei University of Chinese Medicine, Wuhan, China
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24
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Loh WJ, Soh HS, Tun MH, Tan PT, Lau CS, Tavintharan S, Watts GF, Aw TC. Elevated remnant cholesterol and non-HDL cholesterol concentrations from real-world laboratory results: a cross-sectional study in Southeast Asians. Front Cardiovasc Med 2024; 11:1328618. [PMID: 38385128 PMCID: PMC10879277 DOI: 10.3389/fcvm.2024.1328618] [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: 10/27/2023] [Accepted: 01/22/2024] [Indexed: 02/23/2024] Open
Abstract
Introduction Triglyceride-rich remnant lipoproteins (TRLs) are considered atherogenic due to the presence of remnant cholesterol, which is transported by apolipoprotein B. In clinical practice, the concentration of TRLs can be estimated by calculating remnant cholesterol or non-HDL cholesterol levels. Aim This study aims to investigate the proportion of patients who have low LDL cholesterol (LDL-C) concentration but elevated remnant cholesterol concentration, stratified by the presence of hypertriglyceridaemia and ethnicity, using real-world hospital data. Our secondary aim is to investigate the proportion of patients with elevated non-HDL cholesterol levels using guideline-recommended goals. Methods A 2-year retrospective study was conducted at a single centre, analyzing lipid blood tests of all patients, including directly measured LDL-C. Fasting for blood tests was not mandatory. Results The study included a total of 21,605 consecutive patients with plasma lipid profiles analyzed in our hospital laboratory. The median age was 61 years. In patients with ASCVD (n = 14,704), 23.7% had an LDL-C level of <1.8 mmol/L, 11.3% had elevated remnant cholesterol concentrations at ≥0.65 mmol/L, and 48.8% were at the non-high-density lipoprotein cholesterol (non-HDL-C) goal (<2.6 mmol/L). Among patients diagnosed with atherosclerotic cardiovascular disease (ASCVD) with LDL-C levels of <1.8 mmol/L (n = 3,484), only 11.9% had high levels of remnant cholesterol, but 96% of the ASCVD patients also achieved the recommended non-HDL-C target of <2.6 mmol/L. When the LDL-C level was <1.8 mmol/L, the mean concentration of remnant cholesterol was 0.214 mmol/L when the triglyceride level was <1.7 mmol/L (n = 3,380), vs. 0.70 mmol/L when the triglyceride level was elevated (n = 724), p < 0.001. Among patients with a triglyceride level of ≥1.7 mmol/L and an LDL-C level of <.8 mmol/L, there were 254 patients with elevated remnant cholesterol concentration and 71 patients with suboptimal non-HDL levels. Malays had a higher mean remnant cholesterol concentration compared with both Chinese and Indians across all LDL-C levels, particularly in the presence of hypertriglyceridaemia. Conclusions An elevated remnant cholesterol concentration of >0.65 mmol/L was present in 11% of all patients. The current guideline-recommended non-HDL-C goal, which uses a 0.8 mmol/L estimate of remnant cholesterol concentration, was achieved in >92% of patients, suggesting that it is unlikely to be clinically useful for the majority of our patient population except where there is concomitant hypertriglyceridaemia. Further studies are needed to establish the appropriate non-HDL-C goal or calculated remnant cholesterol concentration, paired with the LDL-C goal or otherwise, in a Southeast Asian population.
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Affiliation(s)
- Wann Jia Loh
- Department of Endocrinology, Changi General Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Heng Samuel Soh
- Department of Cardiology, Changi General Hospital, Singapore, Singapore
| | - Mon Hnin Tun
- Health Services Research Unit, Changi General Hospital, Singapore, Singapore
| | - Pei Ting Tan
- Clinical Trial and Research Unit, Changi General Hospital, Singapore, Singapore
| | - Chin Shern Lau
- Department of Laboratory Medicine, Changi General Hospital, Singapore, Singapore
| | | | - Gerald F. Watts
- Medical School, University of Western Australia, Perth, WA, Australia
- Department of Cardiology and Internal Medicine, Royal Perth Hospital, Perth, WA, Australia
| | - Tar Choon Aw
- Duke-NUS Medical School, Singapore, Singapore
- Department of Laboratory Medicine, Changi General Hospital, Singapore, Singapore
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25
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Wang J, Jin R, Jin X, Wu Z, Zhang H, Han Z, Xu Z, Liu Y, Zhao X, Guo X, Tao L. Separate and Joint Associations of Remnant Cholesterol Accumulation and Variability With Carotid Atherosclerosis: A Prospective Cohort Study. J Am Heart Assoc 2023:e029352. [PMID: 37449561 PMCID: PMC10382085 DOI: 10.1161/jaha.122.029352] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 06/26/2023] [Indexed: 07/18/2023]
Abstract
Background We aimed to examine separate and joint associations of remnant cholesterol (RC) accumulation and variability with the risk of carotid atherosclerosis (CAS) in the general population. Methods and Results A total of 6213 participants who underwent 3 sequential health examinations during 2010 to 2015 were enrolled and were followed up until December 31, 2021. Cumulative RC (cumRC) and RC variability among the 3 visits were the exposure of interest in our study. Adjusted Cox models were performed to calculate the hazard ratio (HR) and 95% CI. C-statistics, integrated discrimination improvement, and the net reclassification index were used to estimate the incremental predictive ability. During a median follow-up of 4.00 years, 2613 participants developed CAS. Higher cumRC (HR, 1.33 [95% CI, 1.17-1.52]) and greater RC variability (HR, 1.22 [95% CI, 1.08-1.39]) were significantly associated with elevated risk of CAS, independent of traditional cardiovascular risk factors and low-density lipoprotein cholesterol. Participants were divided into 4 groups according to the median of cumRC and RC variability to assess their joint associations. Compared with "low cumRC and low variability," "high cumRC and high variability" had the highest risk of CAS, followed by "high cumRC and low variability" and "low cumRC and high variability." Finally, joint assessment of RC accumulation and variability had the significantly highest incremental effect on the predictive value of CAS versus single-time-point measures of RC. Conclusions Excessive cumRC levels and greater RC variability were each independently associated with higher incidence of CAS, and their coexistence could further yield significantly higher risks.
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Affiliation(s)
- Jinqi Wang
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health Capital Medical University Beijing China
| | - Rui Jin
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health Capital Medical University Beijing China
| | - Xiaohan Jin
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health Capital Medical University Beijing China
| | - Zhiyuan Wu
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health Capital Medical University Beijing China
- Department of Public Health, School of Medical and Health Sciences Edith Cowan University Perth Australia
| | - Haiping Zhang
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health Capital Medical University Beijing China
| | - Ze Han
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health Capital Medical University Beijing China
| | - Zongkai Xu
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health Capital Medical University Beijing China
| | - Yueruijing Liu
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health Capital Medical University Beijing China
| | - Xiaoyu Zhao
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health Capital Medical University Beijing China
| | - Xiuhua Guo
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health Capital Medical University Beijing China
| | - Lixin Tao
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health Capital Medical University Beijing China
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26
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Athanasopoulou E, Protogerou AD. Correspondence to: "Association of remnant cholesterol with risk of cardiovascular disease events, stroke, and mortality: A systemic review and meta-analysis". Atherosclerosis 2023; 377:68. [PMID: 37336677 DOI: 10.1016/j.atherosclerosis.2023.05.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 05/31/2023] [Indexed: 06/21/2023]
Affiliation(s)
- Elpida Athanasopoulou
- Cardiovascular Prevention & Research Unit, Clinic & Laboratory of Pathophysiology, Department of Medicine, National and Kapodistrian University of Athens, Greece 75 Mikras Asias street, 11527, Athens, Greece
| | - Athanase D Protogerou
- Cardiovascular Prevention & Research Unit, Clinic & Laboratory of Pathophysiology, Department of Medicine, National and Kapodistrian University of Athens, Greece 75 Mikras Asias street, 11527, Athens, Greece.
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27
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Yang XH, Zhang BL, Jin HM. Reply to "Correspondence to: Association of remnant cholesterol with risk of cardiovascular disease events, stroke, and mortality: A systemic review and meta-analysis". Atherosclerosis 2023; 377:69-70. [PMID: 37380541 DOI: 10.1016/j.atherosclerosis.2023.06.968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 06/16/2023] [Indexed: 06/30/2023]
Affiliation(s)
- Xiu Hong Yang
- Division of Nephrology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, 2800 Gong Wei Road, Shanghai, China
| | - Bao Long Zhang
- The Institutes of Biomedical Sciences (IBS), Fudan University, 130 Dongan Road, Shanghai, China
| | - Hui Min Jin
- Division of Nephrology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, 2800 Gong Wei Road, Shanghai, China.
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28
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Bogomolov A, Filonov S, Chadaeva I, Rasskazov D, Khandaev B, Zolotareva K, Kazachek A, Oshchepkov D, Ivanisenko VA, Demenkov P, Podkolodnyy N, Kondratyuk E, Ponomarenko P, Podkolodnaya O, Mustafin Z, Savinkova L, Kolchanov N, Tverdokhleb N, Ponomarenko M. Candidate SNP Markers Significantly Altering the Affinity of TATA-Binding Protein for the Promoters of Human Hub Genes for Atherogenesis, Atherosclerosis and Atheroprotection. Int J Mol Sci 2023; 24:ijms24109010. [PMID: 37240358 DOI: 10.3390/ijms24109010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/13/2023] [Accepted: 05/17/2023] [Indexed: 05/28/2023] Open
Abstract
Atherosclerosis is a systemic disease in which focal lesions in arteries promote the build-up of lipoproteins and cholesterol they are transporting. The development of atheroma (atherogenesis) narrows blood vessels, reduces the blood supply and leads to cardiovascular diseases. According to the World Health Organization (WHO), cardiovascular diseases are the leading cause of death, which has been especially boosted since the COVID-19 pandemic. There is a variety of contributors to atherosclerosis, including lifestyle factors and genetic predisposition. Antioxidant diets and recreational exercises act as atheroprotectors and can retard atherogenesis. The search for molecular markers of atherogenesis and atheroprotection for predictive, preventive and personalized medicine appears to be the most promising direction for the study of atherosclerosis. In this work, we have analyzed 1068 human genes associated with atherogenesis, atherosclerosis and atheroprotection. The hub genes regulating these processes have been found to be the most ancient. In silico analysis of all 5112 SNPs in their promoters has revealed 330 candidate SNP markers, which statistically significantly change the affinity of the TATA-binding protein (TBP) for these promoters. These molecular markers have made us confident that natural selection acts against underexpression of the hub genes for atherogenesis, atherosclerosis and atheroprotection. At the same time, upregulation of the one for atheroprotection promotes human health.
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Affiliation(s)
- Anton Bogomolov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Sergey Filonov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Irina Chadaeva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Dmitry Rasskazov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Bato Khandaev
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Karina Zolotareva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Anna Kazachek
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Dmitry Oshchepkov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Vladimir A Ivanisenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Pavel Demenkov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Nikolay Podkolodnyy
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- Institute of Computational Mathematics and Mathematical Geophysics, Novosibirsk 630090, Russia
| | - Ekaterina Kondratyuk
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Petr Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Olga Podkolodnaya
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Zakhar Mustafin
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Ludmila Savinkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Nikolay Kolchanov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Natalya Tverdokhleb
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Mikhail Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
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