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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: 0] [Impact Index Per Article: 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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Li B, Liu Y, Zhou X, Gu W, Mu Y. Remnant cholesterol, but not other traditional lipids or lipid ratios, is independently and positively related to future diabetes risk in Chinese general population: A 3 year cohort study. J Diabetes Investig 2024; 15:1084-1093. [PMID: 38568177 PMCID: PMC11292390 DOI: 10.1111/jdi.14205] [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: 01/01/2024] [Revised: 03/05/2024] [Accepted: 03/19/2024] [Indexed: 08/02/2024] Open
Abstract
AIMS Very few cohort studies are available about the relation between remnant cholesterol (RC) and diabetes. Based on a prospective cohort survey, this research aimed at investigating if high RC was related to a future diabetes risk in the Chinese population, as well as to compare the association between RC, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TG), TG/HDL-C, LDL-C/HDL-C, TC/HDL-C, and non-high-density lipoprotein cholesterol (non-HDL-C), and future diabetes risk. MATERIALS AND METHODS 6,700 baseline normoglycemic participants of the REACTION study's Beijing center were recruited in 2011-2012 and followed up in 2015. Multivariate Cox regression analyses were performed to explore the relationship of RC, HDL-C, LDL-C, TC, TG, LDL-C/HDL-C, TG/HDL-C, TC/HDL-C, and non-HDL-C and a future diabetes risk. RESULTS After potential confounders were adjusted for, only RC (HR 1.134, 95% CI 1.016-1.267, P = 0.025) was positively related to a future diabetes risk, and only HDL-C (HR 0.728, 95% CI 0.578-0.918, P = 0.007) was negatively related to a future diabetes risk. The rest of the lipid parameters were not related to a future risk of diabetes. Sensitivity and stratification analyses revealed that the relation between RC and future diabetes risk was stable. RC and future diabetes risk were still positively correlated even when the HDL-C was ≥1.04 mmol/L (HR 1.167, 95% CI 1.050-1.297, P = 0.004). CONCLUSIONS It was RC, but not other lipid parameters, that was independently and positively related to a future risk of diabetes among the Chinese general population. Moreover, the relationship between RC and diabetes risk was stable, even with appropriate levels of HDL-C.
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Affiliation(s)
- Binqi Li
- Medical CollegeNankai UniversityTianjinChina
- Department of Endocrinology, First Medical CenterChinese PLA General HospitalBeijingChina
| | - Yang Liu
- Department of Endocrinology, First Medical CenterChinese PLA General HospitalBeijingChina
- Department of Endocrinology, Eighth Medical CenterChinese PLA General HospitalBeijingChina
| | - Xin Zhou
- School of Graduate StudiesChinese PLA General HospitalBeijingChina
- Second Medical CenterChinese PLA General HospitalBeijingChina
| | - Weijun Gu
- Department of Endocrinology, First Medical CenterChinese PLA General HospitalBeijingChina
- School of Graduate StudiesChinese PLA General HospitalBeijingChina
| | - Yiming Mu
- Medical CollegeNankai UniversityTianjinChina
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Zhao Y, Liu K, Zou Y, Wu Y, Yang J, Xiao X, Ju X, Yang Q, Lang Y, Liu F. Remnant cholesterol and the risk of diabetic nephropathy progression to end-stage kidney disease in patients with type 2 diabetes mellitus: a longitudinal cohort study. Endocrine 2024:10.1007/s12020-024-03948-4. [PMID: 39126619 DOI: 10.1007/s12020-024-03948-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 06/27/2024] [Indexed: 08/12/2024]
Abstract
AIM Diabetic nephropathy (DN) is the most common cause of end-stage kidney disease (ESKD). Remnant cholesterol has been investigated as a predictor for the progression of DN in type 1 diabetes mellitus patients, as well as the incidence of DN in type 2 diabetes mellitus (T2DM) patients. This study aimed to evaluate the longitudinal relationship between baseline remnant cholesterol and kidney outcomes using a Chinese T2DM with biopsy-confirmed DN cohort. METHODS We included 334 patients with T2DM and biopsy-confirmed DN during 2010-2019 West China Hospital T2DM-DN cohort. Remnant cholesterol was defined by Martin-Hopkins equation. Patients were divided into four groups based on the median (IQR) remnant cholesterol concentration at the time of renal biopsy. The kidney outcome was defined as ESKD, which was defined as the need for chronic kidney replacement therapy or estimated glomerular filtration rate (eGFR) < 15 mL/min/1.73 m2. The relationship between remnant cholesterol and kidney outcome was analyzed using the Kaplan‒Meier method and Cox regression analysis. RESULTS The mean age was 51.1 years, and 235 (70%) were men. During follow-up, a total of 121 (36.2%) patients reached ESKD. The Kaplan‒Meier analysis showed that patients in the highest quartile (quartile 4) group had lower cumulative renal survival (log-rank test, p = 0.033) and shorter median renal survival time [34.0 (26.4-41.6) vs. 55.0 (29.8-80.2) months] than patients in the lowest quartile (quartile 1) group. By univariate analysis, the high remnant cholesterol group was associated with a higher risk of progression to ESKD. Moreover, the risk of progression to ESKD in the highest quartile was still 2.857-fold (95% CI 1.305-6.257, p = 0.009) higher than that in the lowest quartile, and one-SD increase of remnant cholesterol was associated with a higher risk (HR = 1.424; 95% CI 1.075-1.886, p = 0.014) of progression to ESKD, after adjusted for confounding factors. CONCLUSIONS High remnant cholesterol is independently associated with a higher risk of ESKD in patients with T2DM-DN, and it may be a new noninvasive marker of ESKD. CLINICAL RELEVANCE Calculated remnant cholesterol has the advantages of being economical and clinically accessible. Moreover, to our knowledge, there are no longitudinal cohort studies for investigating the risk of progression of T2DM-DN to ESKD. In our study, higher remnant cholesterol was associated with a higher risk of ESKD in patients with T2DM-DN, and it may be a new noninvasive predictor of ESKD.
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Affiliation(s)
- Yuancheng Zhao
- Department of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Ke Liu
- Department of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Yutong Zou
- Department of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Yucheng Wu
- Department of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Jia Yang
- Department of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Xiang Xiao
- Department of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Xuegui Ju
- Department of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Qin Yang
- Department of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Yanlin Lang
- Department of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Fang Liu
- Department of Nephrology, West China Hospital of Sichuan University, Chengdu, 610041, China.
- Laboratory of Diabetic Kidney Disease, Kidney Research Institute, Department of Nephrology, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Zhou X, Weng X, Xu J, Wang W. Correlation between remnant cholesterol and hyperuricemia in American adults. Lipids Health Dis 2024; 23:176. [PMID: 38851714 PMCID: PMC11161976 DOI: 10.1186/s12944-024-02167-0] [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: 03/17/2024] [Accepted: 05/28/2024] [Indexed: 06/10/2024] Open
Abstract
BACKGROUND Remnant cholesterol (RC) is an important marker for assessing the risk of metabolic syndrome. However, the correlation between RC and hyperuricemia (HUA) remains unclear. This study aimed to explore the correlation between RC and HUA in American adults. METHODS A total of 9089 participants from the 2013-2020 National Health and Nutrition Examination Survey were investigated. The correlation between RC and the odds of HUA was evaluated using multivariate logistic regression analysis. The nonlinear correlation was described using fitted smoothed curves. The correlation in subgroups was analyzed based on race, gender, alcohol consumption, age, body mass index, waist circumference, diabetes and moderate physical activities. RESULTS RC was correlated with uric acid (Spearman's correlation coefficient = 0.208 in males and 0.215 in females; all P < 0.001). Multiple logistic regression analysis indicated a positive correlation between RC and the risk of HUA (odds ratio = 1.022 in males and 1.031 in females; all P < 0.001). Subgroup analysis revealed that the correlation was stronger in females, participants aged < 50 years, and those without diabetes. Furthermore, the generalized smooth curve fitting demonstrated a linear correlation between RC and HUA, without threshold or saturation effects. CONCLUSION Elevated RC significantly and positively correlated with HUA in American adults. This correlation was stronger among females, participants aged < 50 years, and those without diabetes.
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Affiliation(s)
- Xiaohai Zhou
- Department of Hematology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, P. R. China
| | - Xiaolu Weng
- Department of Endocrinology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, P. R. China
| | - Jing Xu
- Department of Endocrinology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, P. R. China
| | - Wenxing Wang
- Department of Gastroenterology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, P. R. China.
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Wang Z, Wu M, Yan H, Zhong S, Xu R, Zhao Z, Yang Q. Association Between Remnant Cholesterol and Risk of Hyperuricemia: A Cross-Sectional Study. Horm Metab Res 2024. [PMID: 38569514 DOI: 10.1055/a-2299-2914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/05/2024]
Abstract
Remnant cholesterol (RC) is closely related to metabolic diseases. Our study aims to explore the relationship between RC and hyperuricemia. This cross-sectional study included 14 568 adults aged 20 years or older from the National Health and Nutrition Examination Survey (NHANES) conducted between 2007 and 2018 in the United States. RC is calculated by subtracting high-density lipoprotein cholesterol (HDL-c) and low-density lipoprotein cholesterol (LDL-c) from total cholesterol (TC). Hyperuricemia is defined by serum uric acid (SUA) levels≥7 mg/dl in men and≥6 mg/dl in women. The independent association between RC and hyperuricemia was evaluated. As the quartile range of RC levels increases, the prevalence of hyperuricemia also rises (7.84% vs. 13.71% vs. 18.61% vs. 26.24%, p<0.001). After adjusting for confounding factors, the fourth quartile of RC was associated with an increased risk of hyperuricemia compared with the first quartile (OR=2.942, 95% CI 2.473-3.502, p<0.001). Receiver Operating Characteristic (ROC) analysis shows that RC outperforms other single lipid indices in hyperuricemia. Further Restricted Cubic Splines (RCS) analysis suggests a nonlinear relationship between RC levels and hyperuricemia. Elevated RC levels were found to be linked to hyperuricemia. Further studies on RC hold promise for both preventing and addressing hyperuricemia.
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Affiliation(s)
- Zhaoxiang Wang
- Department of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
| | - Menghuan Wu
- Department of Cardiology, Xuyi People's Hospital, Xuyi, China
| | - Han Yan
- Department of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Wujin Clinical College of Xuzhou Medical University, Changzhou, China
| | - Shao Zhong
- Department of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
| | - Ruijun Xu
- Department of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Wujin Clinical College of Xuzhou Medical University, Changzhou, China
| | - Zhiyong Zhao
- Department of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Wujin Clinical College of Xuzhou Medical University, Changzhou, China
| | - Qichao Yang
- Department of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Wujin Clinical College of Xuzhou Medical University, Changzhou, China
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Zhao Y, Zhuang Z, Li Y, Xiao W, Song Z, Huang N, Wang W, Dong X, Jia J, Clarke R, Huang T. Elevated blood remnant cholesterol and triglycerides are causally related to the risks of cardiometabolic multimorbidity. Nat Commun 2024; 15:2451. [PMID: 38503751 PMCID: PMC10951224 DOI: 10.1038/s41467-024-46686-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 02/28/2024] [Indexed: 03/21/2024] Open
Abstract
The connection between triglyceride-rich lipoproteins and cardiometabolic multimorbidity, characterized by the concurrence of at least two of type 2 diabetes, ischemic heart disease, and stroke, has not been definitively established. We aim to examine the prospective associations between serum remnant cholesterol, triglycerides, and the risks of progression from first cardiometabolic disease to multimorbidity via multistate modeling in the UK Biobank. We also evaluate the causality of these associations via Mendelian randomization using 13 biologically relevant SNPs as the genetic instruments. Here we show that elevated remnant cholesterol and triglycerides are significantly associated with gradually higher risks of cardiometabolic multimorbidity, particularly the progression of ischemic heart disease to the multimorbidity of ischemic heart disease and type 2 diabetes. These results advocate for effective management of remnant cholesterol and triglycerides as a potential strategy in mitigating the risks of cardiometabolic multimorbidity.
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Affiliation(s)
- Yimin Zhao
- Department of Sports Medicine, Peking University Third Hospital, Peking University, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zhenhuang Zhuang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yueying Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wendi Xiao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zimin Song
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Ninghao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wenxiu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Xue Dong
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jinzhu Jia
- Department of Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
- Center for Intelligent Public Health, Academy for Artificial Intelligence, Peking University, Beijing, China.
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Wang W, Li N, Wang X, Zhang X, Tu M, Lin L, Li Q, Zhang H, Liu J, Yang X, Hao L, Yang N. Remnant Cholesterol Is Associated With Gestational Diabetes Mellitus: A Cohort Study. J Clin Endocrinol Metab 2023; 108:2924-2930. [PMID: 37167108 DOI: 10.1210/clinem/dgad262] [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: 03/22/2023] [Revised: 04/25/2023] [Accepted: 05/08/2023] [Indexed: 05/13/2023]
Abstract
CONTEXT The association between remnant cholesterol (RC) and gestational diabetes mellitus (GDM) risk is unclear. OBJECTIVE This study investigated the association between RC and GDM. METHODS We used data from the Tongji Maternal and Child Health Cohort, a prospective cohort study in China. Fasting lipid concentrations were measured around 16 weeks' gestation. RC was calculated as total cholesterol minus low-density lipoprotein cholesterol and high-density lipoprotein cholesterol. GDM was diagnosed by a 75-g oral glucose tolerance test at 24 to 28 weeks' gestation. Log-Poisson regression models were performed to estimate relative risks (RRs) of GDM across quartiles of RC levels and triglyceride (TG) levels after adjustment for potential confounders. TG and RC were mutually adjusted. RESULTS Among 2528 women, 256 (10.1%) developed GDM. The adjusted RRs (95% CIs) for GDM across increasing quartiles of RC were 1.00 (reference), 1.35 (0.91, 1.99), 1.68 (1.16, 2.45), and 1.73 (1.19, 2.50), respectively. Compared to pregnant women without 3 risk indicators (TG <2.08 mmol/L, RC <0.40 mmol/L, and pre-BMI <24.0 kg/m2), the risk of GDM was elevated in those with normal pre-BMI but high RC (aRR: 1.54; 95% CI: 1.08, 2.19) or high TG (aRR: 2.15; 95% CI: 1.33, 3.49). For those with all 3 risk indicators, the risk of GDM was the highest (aRR: 4.80; 95% CI: 3.20, 7.18). CONCLUSION Elevated RC levels were associated with the increased risk of GDM and independent of traditional risk factors. Pregnant women with high pre-BMI, high TG, and high RC were at greatly increased risk of GDM.
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Affiliation(s)
- Weiming Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Na Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Xiaoyi Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
- Department of Clinical Nutrition, The Third People's Hospital of Hubei Province, Wuhan, Hubei, 430030, China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Menghan Tu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Huaqi Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Jin Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
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Yuan Y, Zhou X, Ji L. Association between remnant cholesterol level and severity of chronic kidney disease in patients with type 2 diabetes. J Diabetes Complications 2023; 37:108585. [PMID: 37633073 DOI: 10.1016/j.jdiacomp.2023.108585] [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: 12/30/2022] [Revised: 07/30/2023] [Accepted: 08/08/2023] [Indexed: 08/28/2023]
Abstract
BACKGROUND Studies on whether remnant cholesterol (RC) affects the progression of chronic kidney disease (CKD) remain insufficient. This study aimed to determine whether RC level was associated with the severity of CKD in patients with type 2 diabetes mellitus (T2DM). METHODS In total, 3383 individuals diagnosed with T2DM were enrolled in this cross-sectional study from China. The severity of CKD was defined as no, moderate, severe, and very severe CKD based on the urinary albumin-to-creatinine ratio and estimated glomerular filtration rate. Because RC was non-normally distributed, it was log-transformed and categorized into quantiles. Multivariate logistic regression and multivariate ordinal logistic regression analysis were performed to investigate whether RC was independently associated with CKD and its severity. RESULTS The median RC level was 25.9 mg/dL. The number of patients with no, moderate, severe, and very severe CKD was 2587 (76.5 %), 520 (15.4 %), 189 (5.6 %), and 87 (2.5 %), respectively. After adjusting for confounding factors, the prevalence of CKD increased 1.67-fold when the log-transformed RC level was elevated by one unit (OR [95 % CI], 1.67 [1.43-1.95]). The likelihood of CKD severity increasing by one degree was 1.76-fold for each one-unit increase in log-transformed RC level (OR [95 % CI], 1.76 [1.52-2.05]). When RC was incorporated as a categorical variable, it still correlated with CKD severity compared with quantile 1 (Q1) (Q2, 1.30 [1.01-1.68]; Q3, 1.60 [1.23-2.07]; Q4, 2.39 [1.86-3.09]). The association remained regardless of whether the patient's traditional lipid profiles achieved the target range. CONCLUSION RC level was associated with CKD severity even when traditional lipid profiles were within the target range in patients with T2DM.
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Affiliation(s)
- Yanping Yuan
- Department of Endocrinology, Peking University People's Hospital, Beijing 100044, China
| | - Xianghai Zhou
- Department of Endocrinology, Peking University People's Hospital, Beijing 100044, China.
| | - Linong Ji
- Department of Endocrinology, Peking University People's Hospital, Beijing 100044, China.
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Li H, Miao S, Chen L, Liu B, Li YB, Duan RS. Association and mediating mechanism between remnant cholesterol and first-ever stroke among the Chinese general population. Front Neurosci 2023; 17:1161367. [PMID: 37304024 PMCID: PMC10247974 DOI: 10.3389/fnins.2023.1161367] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 04/13/2023] [Indexed: 06/13/2023] Open
Abstract
Background Remnant cholesterol (RC) has been suggested to be implicated in atherosclerosis. The objective of the study was to evaluate the association between RC and first-ever stroke in the Chinese general population and to investigate whether the association is mediated via hypertension or diabetes. Methods This study is a retrospective cohort analysis of participants from the China Health and Nutrition Survey. Participants without previous stroke and myocardial infarction in 2009 were enrolled and followed up in 2011 and 2015. Logistic regression analyses were adopted to explore the association of RC with stroke risk. Propensity score methods and doubly robust estimation method were used to ensure the robustness of our findings. Potential mediators were identified by mediation analyses. Results A total of 7,035 participants were involved, and during 6 years of follow-up, 78 (1.1%) participants experienced a first-ever stroke. Participants with high RC had a significantly higher incidence of stroke (1.4% versus 0.8%; p = 0.007). High RC was associated with 74% higher stroke risk after adjusting for multiple relevant variables (odds ratio [OR], 1.74; 95% CI, 1.06-2.85). The association was consistent in analyses using propensity score methods and doubly robust estimation method. Hypertension showed a significant mediating effect on the association between RC and stroke, while the mediating effect of diabetes was not significant. Conclusion High RC increased the risk of first-ever stroke in the Chinese general population without previous stroke and myocardial infarction, partially through the pathway of hypertension. RC might be a potential target for the primary prevention of stroke.
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Affiliation(s)
- Heng Li
- Department of Neurology, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
| | - Shuai Miao
- Medical School of Chinese People’s Liberation Army (PLA), Beijing, China
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Lu Chen
- Department of Neurology, ZiBo Central Hospital, Zibo, China
| | - Bin Liu
- Department of Neurology, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
- Shandong Institute of Neuroimmunology, Jinan, China
| | - Yan-Bin Li
- Department of Neurology, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
- Shandong Institute of Neuroimmunology, Jinan, China
| | - Rui-Sheng Duan
- Department of Neurology, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
- Shandong Institute of Neuroimmunology, Jinan, China
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10
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Li B, Zhou X, Wang W, Gao Z, Yan L, Qin G, Tang X, Wan Q, Chen L, Luo Z, Ning G, Mu Y. Remnant cholesterol is independently associated with diabetes, even if the traditional lipid is at the appropriate level: A report from the REACTION study. J Diabetes 2023; 15:204-214. [PMID: 36740459 PMCID: PMC10036259 DOI: 10.1111/1753-0407.13362] [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: 11/29/2022] [Accepted: 01/09/2023] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The association between remnant cholesterol (RC) and diabetes remains unclear because of limited study and data. This study attempted to explore the association between RC and diabetes in a large sample, multicenter general population. METHODS The current study included 36 684 participants from eight provinces across China. Subjects were quartered according to the RC quartile. Logistic regression analysis was used to evaluate the association between RC and diabetes. RESULTS After adjusting for potential confounding factors, RC was still significantly associated with diabetes (Q4: odds ratio [OR]:1.147, 95% confidence interval [CI]: 1.049-1.254, p = .003). In addition, RC and diabetes were still significantly associated when triglycerides (TG) were <1.7 mmol/L (Q4: OR: 1.155, 95% CI: 1.005-1.327, p = .042), low-density lipoprotein cholesterol (LDL-C) <3.4 mmol/L (Q4: OR: 1.130, 95% CI: 1.011-1.264, p = .032), or HDL-C (high-density lipoprotein cholesterol) ≥1.0 mmol/L (Q4: OR: 1.116, 95% CI: 1.007-1.237, p = .037). In the stratification analysis, elevated RC was significantly associated with diabetes in subjects with systolic blood pressure (SBP) <140 mm Hg and diastolic blood pressure (DBP) <90 mm Hg, 60 ≤ estimated glomerular filtration rate (eGFR) ≤90 ml/min per 1.73 m2 , younger than 55 years old and female. CONCLUSION In the Chinese community, RC is significantly correlated with diabetes, even when TG, LDL-C, or HDL-C were controlled within the appropriate range recommended by the guidelines.
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Affiliation(s)
- Binqi Li
- School of MedicineNankai UniversityTianjinChina
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Xin Zhou
- Graduate SchoolChinese PLA General HospitalBeijingChina
- Department of Medical OncologyThe Fifth Medical Center of Chinese PLA General HospitalBeijingChina
- The Second Medical Center of Chinese PLA General HospitalBeijingChina
| | - Weiqing Wang
- Department of EndocrinologyRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhengnan Gao
- Department of EndocrinologyDalian Central HospitalDalianChina
| | - Li Yan
- Department of EndocrinologyZhongshan University Sun Yat‐sen Memorial HospitalGuangzhouChina
| | - Guijun Qin
- First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Xulei Tang
- Department of EndocrinologyFirst Hospital of Lanzhou UniversityLanzhouChina
| | - Qin Wan
- Department of EndocrinologySouthwest Medical University Affiliated HospitalLuzhouChina
| | - Lulu Chen
- Wuhan Union Hospital, Huazhong University of Science and TechnologyWuhanChina
| | - Zuojie Luo
- First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Guang Ning
- Department of EndocrinologyRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yiming Mu
- School of MedicineNankai UniversityTianjinChina
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
- Graduate SchoolChinese PLA General HospitalBeijingChina
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11
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Huh JH, Roh E, Lee SJ, Ihm SH, Han KD, Kang JG. Remnant Cholesterol Is an Independent Predictor of Type 2 Diabetes: A Nationwide Population-Based Cohort Study. Diabetes Care 2023; 46:305-312. [PMID: 36469354 DOI: 10.2337/dc22-1550] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 10/31/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Although the atherogenic effect of remnant cholesterol (remnant-C) has been widely recognized, the relationship between remnant-C and glucose metabolism remains unclear. This retrospective, longitudinal study investigated the relationship between remnant-C and incident type 2 diabetes (T2D) in a nationwide cohort of Korean adults. RESEARCH DESIGN AND METHODS A total of 8,485,539 Korean adults without diabetes participated in the national health screening in 2009 and were followed up until 2019. The relationship between remnant-C quartiles and incident T2D was examined by Cox regression models. The risk of incident T2D over the continuum of remnant-C was examined with cubic spline analysis. RESULTS During the median follow-up period of 9.28 years, 584,649 individuals (6.8%) developed T2D. In multivariable-adjusted analyses, participants in the upper quartile of remnant-C had a higher risk of T2D, with hazard ratios of 1.25 (95% CI 1.24-1.27) in the second quartile, 1.51 (95% CI 1.50-1.53) in the third quartile, and 1.95 (95% CI 1.93-1.97) in the fourth quartile, compared with the lowest quartile. The increase in the risk of T2D owing to high remnant-C concentration was more profound in individuals with fewer traditional T2D risks, such as women, and absence of metabolic abnormalities, including impaired fasting glucose, hypertension, and atherogenic dyslipidemia. Moreover, the magnitude of the increased risk for incident T2D in individuals with higher remnant-C quartiles was higher in younger participants than older participants. CONCLUSIONS These findings indicate that remnant-C profiles provide additional information in predicting future progression of T2D, independent of the conventional lipid parameters.
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Affiliation(s)
- Ji Hye Huh
- Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, South Korea
| | - Eun Roh
- Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, South Korea
| | - Seong Jin Lee
- Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, South Korea
| | - Sung-Hee Ihm
- Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, South Korea
| | - Kyung-Do Han
- Department of Statistics and Actuarial Science, College of Natural Sciences, Soongsil University, Seoul, South Korea
| | - Jun Goo Kang
- Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, South Korea
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12
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Hu X, Liu Q, Guo X, Wang W, Yu B, Liang B, Zhou Y, Dong H, Lin J. The role of remnant cholesterol beyond low-density lipoprotein cholesterol in diabetes mellitus. Cardiovasc Diabetol 2022; 21:117. [PMID: 35761281 PMCID: PMC9238255 DOI: 10.1186/s12933-022-01554-0] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 06/19/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Previous research has linked elevated low-density lipoprotein cholesterol (LDL-C) and remnant cholesterol (RC) with diabetes mellitus (DM). The present study aims to estimate the RC-related DM risk beyond LDL-C, and to investigate the extent to which the association of RC and DM is mediated via insulin resistance and inflammation. METHODS We enrolled 7308 individuals without previous history of DM into the present study from the China Health and Nutrition Survey. Fasting RC was calculated as total cholesterol minus LDL-C and high-density lipoprotein cholesterol. Subjects were divided into four groups according to their LDL-C (100 mg/dL) and RC (24 mg/dL) levels to evaluate the role of LDL-C vs. RC on DM. A logistic regression analysis was then employed to evaluate the relationships between the discordant/concordant LDL-C and RC and DM. A mediation analysis was undertaken to identify potential mediators. RESULTS Of all the participants, a total of 625 (8.55%) patients were newly diagnosed with DM. Compared to the high LDL-C/low RC group, the low LDL-C/high RC group was more common in DM patients. After a multivariate adjustment, elevated LDL-C and RC were associated with DM. Moreover, the low LDL-C/high RC group and the high LDL-C/low RC group manifested a 4.04-fold (95% CI 2.93-5.56) and 1.61-fold (95% CI 1.21-2.15) higher risk of DM, relative to those with low LDL-C/low RC. The subgroup analysis indicated that low LDL-C/high RC was more likely to be related to DM in females. Similar results were also shown when the sensitivity analyses were performed with different clinical cut-points of LDL-C. Insulin resistance and inflammation partially mediated the association between RC and DM. CONCLUSIONS Our findings provided evidence for RC beyond the LDL-C associations with DM that may be mediated via insulin resistance and the pro-inflammatory state. In addition, women are more susceptible to RC exposure-related DM.
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Affiliation(s)
- Xiangming Hu
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Qunzhi Liu
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
| | - Xingyuan Guo
- Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Weimian Wang
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Bingyan Yu
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
| | - Beijia Liang
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
| | - Yingling Zhou
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
| | - Haojian Dong
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China.
| | - Jijin Lin
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China.
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