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Okamura T, Tsukamoto K, Arai H, Fujioka Y, Ishigaki Y, Koba S, Ohmura H, Shoji T, Yokote K, Yoshida H, Yoshida M, Deguchi J, Dobashi K, Fujiyoshi A, Hamaguchi H, Hara M, Harada-Shiba M, Hirata T, Iida M, Ikeda Y, Ishibashi S, Kanda H, Kihara S, Kitagawa K, Kodama S, Koseki M, Maezawa Y, Masuda D, Miida T, Miyamoto Y, Nishimura R, Node K, Noguchi M, Ohishi M, Saito I, Sawada S, Sone H, Takemoto M, Wakatsuki A, Yanai H. Japan Atherosclerosis Society (JAS) Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases 2022. J Atheroscler Thromb 2024; 31:641-853. [PMID: 38123343 DOI: 10.5551/jat.gl2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023] Open
Affiliation(s)
- Tomonori Okamura
- Preventive Medicine and Public Health, Keio University School of Medicine
| | | | | | - Yoshio Fujioka
- Faculty of Nutrition, Division of Clinical Nutrition, Kobe Gakuin University
| | - Yasushi Ishigaki
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University
| | - Shinji Koba
- Division of Cardiology, Department of Medicine, Showa University School of Medicine
| | - Hirotoshi Ohmura
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine
| | - Tetsuo Shoji
- Department of Vascular Medicine, Osaka Metropolitan University Graduate school of Medicine
| | - Koutaro Yokote
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine
| | - Hiroshi Yoshida
- Department of Laboratory Medicine, The Jikei University Kashiwa Hospital
| | | | - Juno Deguchi
- Department of Vascular Surgery, Saitama Medical Center, Saitama Medical University
| | - Kazushige Dobashi
- Department of Pediatrics, School of Medicine, University of Yamanashi
| | | | | | - Masumi Hara
- Department of Internal Medicine, Mizonokuchi Hospital, Teikyo University School of Medicine
| | - Mariko Harada-Shiba
- Cardiovascular Center, Osaka Medical and Pharmaceutical University
- Department of Molecular Pathogenesis, National Cerebral and Cardiovascular Center Research Institute
| | - Takumi Hirata
- Institute for Clinical and Translational Science, Nara Medical University
| | - Mami Iida
- Department of Internal Medicine and Cardiology, Gifu Prefectural General Medical Center
| | - Yoshiyuki Ikeda
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Shun Ishibashi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jichi Medical University, School of Medicine
- Current affiliation: Ishibashi Diabetes and Endocrine Clinic
| | - Hideyuki Kanda
- Department of Public Health, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
| | - Shinji Kihara
- Medical Laboratory Science and Technology, Division of Health Sciences, Osaka University graduate School of medicine
| | - Kazuo Kitagawa
- Department of Neurology, Tokyo Women's Medical University Hospital
| | - Satoru Kodama
- Department of Prevention of Noncommunicable Diseases and Promotion of Health Checkup, Department of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine
| | - Masahiro Koseki
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
| | - Yoshiro Maezawa
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine
| | - Daisaku Masuda
- Department of Cardiology, Center for Innovative Medicine and Therapeutics, Dementia Care Center, Doctor's Support Center, Health Care Center, Rinku General Medical Center
| | - Takashi Miida
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine
| | | | - Rimei Nishimura
- Department of Diabetes, Metabolism and Endocrinology, The Jikei University School of Medicine
| | - Koichi Node
- Department of Cardiovascular Medicine, Saga University
| | - Midori Noguchi
- Division of Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University
| | - Mitsuru Ohishi
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Isao Saito
- Department of Public Health and Epidemiology, Faculty of Medicine, Oita University
| | - Shojiro Sawada
- Division of Metabolism and Diabetes, Faculty of Medicine, Tohoku Medical and Pharmaceutical University
| | - Hirohito Sone
- Department of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine
| | - Minoru Takemoto
- Department of Diabetes, Metabolism and Endocrinology, International University of Health and Welfare
| | | | - Hidekatsu Yanai
- Department of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine Kohnodai Hospital
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Jin Q, Lau ESH, Luk AO, Tam CHT, Ozaki R, Lim CKP, Wu H, Chow EYK, Kong APS, Lee HM, Fan B, Ng ACW, Jiang G, Lee KF, Siu SC, Hui G, Tsang CC, Lau KP, Leung JY, Tsang MW, Cheung EYN, Kam G, Lau IT, Li JK, Yeung VTF, Lau E, Lo S, Fung S, Cheng YL, Chow CC, Yu W, Tsui SKW, Tomlinson B, Huang Y, Lan HY, Szeto CC, So WY, Jenkins AJ, Fung E, Muilwijk M, Blom MT, 't Hart LM, Chan JCN, Ma RCW. Circulating metabolomic markers linking diabetic kidney disease and incident cardiovascular disease in type 2 diabetes: analyses from the Hong Kong Diabetes Biobank. Diabetologia 2024; 67:837-849. [PMID: 38413437 PMCID: PMC10954952 DOI: 10.1007/s00125-024-06108-5] [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: 07/27/2023] [Accepted: 01/03/2024] [Indexed: 02/29/2024]
Abstract
AIMS/HYPOTHESIS The aim of this study was to describe the metabolome in diabetic kidney disease (DKD) and its association with incident CVD in type 2 diabetes, and identify prognostic biomarkers. METHODS From a prospective cohort of individuals with type 2 diabetes, baseline sera (N=1991) were quantified for 170 metabolites using NMR spectroscopy with median 5.2 years of follow-up. Associations of chronic kidney disease (CKD, eGFR<60 ml/min per 1.73 m2) or severely increased albuminuria with each metabolite were examined using linear regression, adjusted for confounders and multiplicity. Associations between DKD (CKD or severely increased albuminuria)-related metabolites and incident CVD were examined using Cox regressions. Metabolomic biomarkers were identified and assessed for CVD prediction and replicated in two independent cohorts. RESULTS At false discovery rate (FDR)<0.05, 156 metabolites were associated with DKD (151 for CKD and 128 for severely increased albuminuria), including apolipoprotein B-containing lipoproteins, HDL, fatty acids, phenylalanine, tyrosine, albumin and glycoprotein acetyls. Over 5.2 years of follow-up, 75 metabolites were associated with incident CVD at FDR<0.05. A model comprising age, sex and three metabolites (albumin, triglycerides in large HDL and phospholipids in small LDL) performed comparably to conventional risk factors (C statistic 0.765 vs 0.762, p=0.893) and adding the three metabolites further improved CVD prediction (C statistic from 0.762 to 0.797, p=0.014) and improved discrimination and reclassification. The 3-metabolite score was validated in independent Chinese and Dutch cohorts. CONCLUSIONS/INTERPRETATION Altered metabolomic signatures in DKD are associated with incident CVD and improve CVD risk stratification.
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Affiliation(s)
- Qiao Jin
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
| | - Eric S H Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Andrea O Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Claudia H T Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Risa Ozaki
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Cadmon K P Lim
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Hongjiang Wu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Elaine Y K Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Alice P S Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Heung Man Lee
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
| | - Baoqi Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Alex C W Ng
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
| | - Guozhi Jiang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Ka Fai Lee
- Department of Medicine and Geriatrics, Kwong Wah Hospital, Hong Kong, China
| | - Shing Chung Siu
- Diabetes Centre, Tung Wah Eastern Hospital, Hong Kong, China
| | - Grace Hui
- Diabetes Centre, Tung Wah Eastern Hospital, Hong Kong, China
| | - Chiu Chi Tsang
- Diabetes and Education Centre, Alice Ho Miu Ling Nethersole Hospital, Hong Kong, China
| | | | - Jenny Y Leung
- Department of Medicine and Geriatrics, Ruttonjee Hospital, Hong Kong, China
| | - Man-Wo Tsang
- Department of Medicine and Geriatrics, United Christian Hospital, Hong Kong, China
| | - Elaine Y N Cheung
- Department of Medicine and Geriatrics, United Christian Hospital, Hong Kong, China
| | - Grace Kam
- Department of Medicine and Geriatrics, United Christian Hospital, Hong Kong, China
| | - Ip Tim Lau
- Tseung Kwan O Hospital, Hong Kong, China
| | - June K Li
- Department of Medicine, Yan Chai Hospital, Hong Kong, China
| | - Vincent T F Yeung
- Centre for Diabetes Education and Management, Our Lady of Maryknoll Hospital, Hong Kong, China
| | - Emmy Lau
- Department of Medicine, Pamela Youde Nethersole Eastern Hospital, Hong Kong, China
| | - Stanley Lo
- Department of Medicine, Pamela Youde Nethersole Eastern Hospital, Hong Kong, China
| | - Samuel Fung
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong, China
| | - Yuk Lun Cheng
- Department of Medicine, Alice Ho Miu Ling Nethersole Hospital, Hong Kong, China
| | - Chun Chung Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
| | - Weichuan Yu
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Stephen K W Tsui
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Brian Tomlinson
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Faculty of Medicine, Macau University of Science and Technology, Macau, China
| | - Yu Huang
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, China
| | - Hui-Yao Lan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Cheuk Chun Szeto
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Wing Yee So
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Alicia J Jenkins
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, NSW, Australia
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Erik Fung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Mirthe Muilwijk
- Department of Epidemiology and Data Science, Amsterdam UMC - Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Health Behaviors & Chronic Diseases Research Program, Amsterdam Public Health, Amsterdam UMC, Amsterdam, the Netherlands
| | - Marieke T Blom
- Health Behaviors & Chronic Diseases Research Program, Amsterdam Public Health, Amsterdam UMC, Amsterdam, the Netherlands
- Department of General Practice, Amsterdam UMC - Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Leen M 't Hart
- Department of Epidemiology and Data Science, Amsterdam UMC - Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Health Behaviors & Chronic Diseases Research Program, Amsterdam Public Health, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands
- Department of Cell and Chemical Biology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China.
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China.
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Tunnicliffe DJ, Palmer SC, Cashmore BA, Saglimbene VM, Krishnasamy R, Lambert K, Johnson DW, Craig JC, Strippoli GF. HMG CoA reductase inhibitors (statins) for people with chronic kidney disease not requiring dialysis. Cochrane Database Syst Rev 2023; 11:CD007784. [PMID: 38018702 PMCID: PMC10685396 DOI: 10.1002/14651858.cd007784.pub3] [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] [Indexed: 11/30/2023]
Abstract
BACKGROUND Cardiovascular disease is the most frequent cause of death in people with early stages of chronic kidney disease (CKD), and the absolute risk of cardiovascular events is similar to people with coronary artery disease. This is an update of a review first published in 2009 and updated in 2014, which included 50 studies (45,285 participants). OBJECTIVES To evaluate the benefits and harms of statins compared with placebo, no treatment, standard care or another statin in adults with CKD not requiring dialysis. SEARCH METHODS We searched the Cochrane Kidney and Transplant Register of Studies up to 4 October 2023. Studies in the Register are identified through searches of CENTRAL, MEDLINE, EMBASE, conference proceedings, the International Clinical Trials Registry Platform (ICTRP) Search Portal and ClinicalTrials.gov. An updated search will be undertaken every three months. SELECTION CRITERIA Randomised controlled trials (RCTs) and quasi-RCTs that compared the effects of statins with placebo, no treatment, standard care, or other statins, on death, cardiovascular events, kidney function, toxicity, and lipid levels in adults with CKD (estimated glomerular filtration rate (eGFR) 90 to 15 mL/min/1.73 m2) were included. DATA COLLECTION AND ANALYSIS Two or more authors independently extracted data and assessed the study risk of bias. Treatment effects were expressed as mean difference (MD) for continuous outcomes and risk ratios (RR) for dichotomous benefits and harms with 95% confidence intervals (CI). The risk of bias was assessed using the Cochrane risk of bias tool, and the certainty of the evidence using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. MAIN RESULTS We included 63 studies (50,725 randomised participants); of these, 53 studies (42,752 participants) compared statins with placebo or no treatment. The median duration of follow-up was 12 months (range 2 to 64.8 months), the median dosage of statin was equivalent to 20 mg/day of simvastatin, and participants had a median eGFR of 55 mL/min/1.73 m2. Ten studies (7973 participants) compared two different statin regimens. We were able to meta-analyse 43 studies (41,273 participants). Most studies had limited reporting and hence exhibited unclear risk of bias in most domains. Compared with placebo or standard of care, statins prevent major cardiovascular events (14 studies, 36,156 participants: RR 0.72, 95% CI 0.66 to 0.79; I2 = 39%; high certainty evidence), death (13 studies, 34,978 participants: RR 0.83, 95% CI 0.73 to 0.96; I² = 53%; high certainty evidence), cardiovascular death (8 studies, 19,112 participants: RR 0.77, 95% CI 0.69 to 0.87; I² = 0%; high certainty evidence) and myocardial infarction (10 studies, 9475 participants: RR 0.55, 95% CI 0.42 to 0.73; I² = 0%; moderate certainty evidence). There were too few events to determine if statins made a difference in hospitalisation due to heart failure. Statins probably make little or no difference to stroke (7 studies, 9115 participants: RR 0.64, 95% CI 0.37 to 1.08; I² = 39%; moderate certainty evidence) and kidney failure (3 studies, 6704 participants: RR 0.98, 95% CI 0.91 to 1.05; I² = 0%; moderate certainty evidence) in people with CKD not requiring dialysis. Potential harms from statins were limited by a lack of systematic reporting. Statins compared to placebo may have little or no effect on elevated liver enzymes (7 studies, 7991 participants: RR 0.76, 95% CI 0.39 to 1.50; I² = 0%; low certainty evidence), withdrawal due to adverse events (13 studies, 4219 participants: RR 1.16, 95% CI 0.84 to 1.60; I² = 37%; low certainty evidence), and cancer (2 studies, 5581 participants: RR 1.03, 95% CI 0.82 to 1.30; I² = 0%; low certainty evidence). However, few studies reported rhabdomyolysis or elevated creatinine kinase; hence, we are unable to determine the effect due to very low certainty evidence. Statins reduce the risk of death, major cardiovascular events, and myocardial infarction in people with CKD who did not have cardiovascular disease at baseline (primary prevention). There was insufficient data to determine the benefits and harms of the type of statin therapy. AUTHORS' CONCLUSIONS Statins reduce death and major cardiovascular events by about 20% and probably make no difference to stroke or kidney failure in people with CKD not requiring dialysis. However, due to limited reporting, the effect of statins on elevated creatinine kinase or rhabdomyolysis is unclear. Statins have an important role in the primary prevention of cardiovascular events and death in people who have CKD and do not require dialysis. Editorial note: This is a living systematic review. We will search for new evidence every three months and update the review when we identify relevant new evidence. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.
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Affiliation(s)
- David J Tunnicliffe
- Sydney School of Public Health, The University of Sydney, Sydney, Australia
- Centre for Kidney Research, The Children's Hospital at Westmead, Westmead, Australia
| | - Suetonia C Palmer
- Department of Medicine, University of Otago Christchurch, Christchurch, New Zealand
| | - Brydee A Cashmore
- Sydney School of Public Health, The University of Sydney, Sydney, Australia
- Centre for Kidney Research, The Children's Hospital at Westmead, Westmead, Australia
| | - Valeria M Saglimbene
- Sydney School of Public Health, The University of Sydney, Sydney, Australia
- Centre for Kidney Research, The Children's Hospital at Westmead, Westmead, Australia
- Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
| | | | - Kelly Lambert
- School of Medicine, University of Wollongong, Wollongong, Australia
| | - David W Johnson
- Department of Nephrology, Princess Alexandra Hospital, Woolloongabba, Australia
- Australasian Kidney Trials Network, The University of Queensland, Brisbane, Australia
- Translational Research Institute, Brisbane, Australia
| | - Jonathan C Craig
- Sydney School of Public Health, The University of Sydney, Sydney, Australia
- Cochrane Kidney and Transplant, Centre for Kidney Research, The Children's Hospital at Westmead, Westmead, Australia
- College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Giovanni Fm Strippoli
- Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
- Cochrane Kidney and Transplant, Centre for Kidney Research, The Children's Hospital at Westmead, Westmead, Australia
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4
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Zhan C, Peng Y, Ye H, Diao X, Yi C, Guo Q, Chen W, Yang X. Triglyceride glucose-body mass index and cardiovascular mortality in patients undergoing peritoneal dialysis: a retrospective cohort study. Lipids Health Dis 2023; 22:143. [PMID: 37670344 PMCID: PMC10478298 DOI: 10.1186/s12944-023-01892-2] [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: 03/21/2023] [Accepted: 07/31/2023] [Indexed: 09/07/2023] Open
Abstract
BACKGROUND Recent studies have shown that triglyceride glucose-body mass index (TyG-BMI) is associated with the risk of ischemic stroke and coronary artery disease. However, little attention has been given to the association between TyG-BMI and cardiovascular disease (CVD) mortality in patients undergoing peritoneal dialysis (PD). Therefore, this study aimed to explore the relationship between TyG-BMI and CVD mortality in southern Chinese patients undergoing PD. METHODS Incident patients receiving PD from January 1, 2006, to December 31, 2018, with baseline serum triglyceride, glucose, and body mass index (BMI) information, were recruited for this single-center retrospective cohort study. TyG-BMI was calculated based on fasting plasma glucose, triglyceride, and BMI values. The association between TyG-BMI, CVD and all-cause mortality was evaluated using a multivariate-adjusted Cox proportional hazard regression model. RESULTS Of 2,335 patients, the mean age was 46.1 ± 14.8 years; 1,382 (59.2%) were male, and 564 (24.2%) had diabetes. The median TyG-BMI was 183.7 (165.5-209.2). Multivariate linear regression showed that advanced age, male sex, history of CVD, higher levels of albumin and low-density lipoprotein cholesterol, and higher urine output were correlated with a higher TyG-BMI (P < 0.05). During a median follow-up period of 46.6 (22.4-78.0) months, 615 patients died, of whom 297 (48.2%) died as a result of CVD. After adjusting for demographics and comorbidities, TyG-BMI was significantly associated with an increased risk of CVD mortality (hazard ratio [HR] 1.51, 95% confidence interval [CI] 1.05-2.17) and all-cause mortality (HR 1.36, 95% CI 1.05-1.75). After full adjustment, the 28% risk of CVD mortality (HR 1.28, 95% CI 1.13-1.45) and 19% risk of all-cause mortality were elevated (HR 1.19, 95% CI 1.09-1.31) when TyG-BMI increased by 1 stand deviation (SD) (34.2). CONCLUSIONS A higher baseline TyG-BMI was independently associated with an increased risk of CVD and all-cause mortality in patients receiving PD.
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Affiliation(s)
- Cuixia Zhan
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th, Zhongshan Road II, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology, Guangdong Provincial Key Laboratory of Nephrology, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Yuan Peng
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th, Zhongshan Road II, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology, Guangdong Provincial Key Laboratory of Nephrology, Sun Yat-Sen University, Guangzhou, 510080, China
- Department of Nephrology, Ganzhou People's Hospital (The Affiliated Ganzhou Hospital of Nanchang University), Ganzhou, 341000, China
| | - Hongjian Ye
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th, Zhongshan Road II, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology, Guangdong Provincial Key Laboratory of Nephrology, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Xiangwen Diao
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th, Zhongshan Road II, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology, Guangdong Provincial Key Laboratory of Nephrology, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Chunyan Yi
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th, Zhongshan Road II, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology, Guangdong Provincial Key Laboratory of Nephrology, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Qunying Guo
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th, Zhongshan Road II, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology, Guangdong Provincial Key Laboratory of Nephrology, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Wei Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th, Zhongshan Road II, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology, Guangdong Provincial Key Laboratory of Nephrology, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Xiao Yang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th, Zhongshan Road II, Guangzhou, 510080, China.
- NHC Key Laboratory of Clinical Nephrology, Guangdong Provincial Key Laboratory of Nephrology, Sun Yat-Sen University, Guangzhou, 510080, China.
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Mohamed ON, Mady AM, Sedik MM, Issa AS, Mohamed OM, Abdelhameed NI. The relationship between asymptomatic atherosclerosis and hepcidin-25 in chronic kidney disease patients. Ann Saudi Med 2023; 43:298-308. [PMID: 37805814 PMCID: PMC10560366 DOI: 10.5144/0256-4947.2023.298] [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: 06/09/2023] [Accepted: 08/16/2023] [Indexed: 10/09/2023] Open
Abstract
BACKGROUND The most common and lethal consequence of chronic kidney disease (CKD) is atherosclerotic cardiovascular disease. The persistent inflammation present in CKD increases hepcidin levels. Iron accumulates in the arterial wall in atherosclerosis. Hepcidin-25 was thought to accelerate the development of atherosclerotic plaques by blocking iron release from macrophages. Therefore, we sought to determine the relationship between hepcidin-25 and asymptomatic atherosclerosis in non-dialysis CKD patients. OBJECTIVES Investigate the relationship between hepcidin-25 and subclinical atherosclerosis in non-dialysis CKD patients. DESIGN Cross-sectional SETTINGS: Outpatient clinic for urology and nephrology at a university hospital SUBJECTS AND METHODS: Participants above the age of 18 years included a group of healthy controls and a group of CKD patients who were not routinely maintained on hemodialysis. The latter group was further divided according to eGFR into CKD-3, CKD-4 and CKD-5 subgroups. We excluded patients with comorbidities, patients with chronic liver disease, and other conditions or habits. CBC, kidney function tests, and serum levels of hepcidin-25 (SH-25), TNF-α, IL-6, high-sensitivity C-reactive protein (hs-CRP), TC, TG, LDL-C and HDL-C were assessed. To measure carotid intima media thickness (CIMT) and determine presence of plaques, carotid ultrasonography was performed. The near or far walls of common carotid artery, bulb, and internal carotid artery were used to measure CIMT. MAIN OUTCOME MEASURES SH-25 association and indicators of subclinical atherosclerosis. SAMPLE SIZE 128 participants, the control group (n=25) and the non-hemodialysis CKD patients (n=103) RESULTS: The CKD patients had significantly higher serum levels of markers of inflammation including IL-6, TNF-α, and hs-CRP (P<.001 for each) compared to the controls. There was a significantly higher level of TC, TG and LDL-C (P<.001 for each) and a lower level of HDL-C (P<.001) in the CDK patients compared to controls. SH-25 was considerably higher in all CKD subgroups, especially with progression of CKD. CIMT was increased in CKD patients especially CKD-4 and CKD-5 subgroups when compared to healthy participants (P<.001 for each). In the patient group, CIMT showed a positive correlation with SH-25, (r=.65 and P<.001), IL-6 (r=.65, P<.001), TNF-α (r=.71, P<.001), and hs-CRP (r=.52, P<.001). The ROC curve study showed that SH-25 (AUC=.86, P<.001), IL-6 (AUC=.83, P<.001), hs-CRP (AUC=.72, P<.001), TNF-α (AUC=.82, P<.001) were strong predictors of subclinical atherosclerosis in the CKD patients. CONCLUSIONS SH-25 and CIMT had a positive relationship in CKD patients. The ROC curve showed that SH-25 is a reliable predictor of carotid atherosclerosis. Therefore, we suggest that SH-25 is a vital biomarker of asymptomatic atherosclerosis. LIMITATIONS Single-center.
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Affiliation(s)
- Osama Nady Mohamed
- From the Department of Internal Medicine, Faculty of Medicine, Minia University, Minia, Egypt
| | - Ahmed Mohamed Mady
- From the Department of Internal Medicine, Faculty of Medicine, Minia University, Minia, Egypt
| | - Mohamed Mamdouh Sedik
- From the Department of Internal Medicine, Faculty of Medicine, Minia University, Minia, Egypt
| | - Ahmed S. Issa
- From the Department of Radiology, Faculty of Medicine, Minia University, Minia, Egypt
| | - Omima M. Mohamed
- From the Department of Clinical Pathology, Faculty of Medicine, Minia University, Minia, Egypt
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Yan S, Wang D, Jia Y. Comparison of insulin resistance-associated parameters in US adults: a cross-sectional study. Hormones (Athens) 2023; 22:331-341. [PMID: 36972006 DOI: 10.1007/s42000-023-00448-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 03/15/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND Triglyceride-glucose (TyG) is correlated with cardiovascular events caused by insulin resistance (IR). The aim of this study was to analyze the relationship between TyG and its related indicators and IR among US adults from 2007 to 2018 in the National Health and Nutrition Examination Survey (NHANES) database so as to identify more accurate and reliable predictors of IR. METHODS This is a cross-sectional study including 9884 participants (2255 with IR and 7629 without IR). TyG, TyG-body mass index (TyG-BMI), TyG waist circumference (TyG-WC), and TyG waist-to-height ratio (TyG-WtHR) were measured using standard formulas. RESULTS TyG, TyG-BMI, TyG-WC, and TyG-WtHR were significantly correlated with IR in the general population, with TyG-WC being the most strongly correlated, with an odds ratio of 8.00 (95% confidence interval 5.05-12.67) for the fourth quartile of TyG-WC compared with the first quartile in the adjusted model. Receiver operating characteristic (ROC) analysis of the participants showed that the maximum area under the TyG-WC curve was 0.8491, which was significantly higher than that of the other three indicators. Moreover, this trend was stable both among people of both genders and among patients with coronary heart disease (CHD), hypertension, and diabetes. CONCLUSIONS The present study confirms that the TyG-WC index is more successful than TyG alone in identifying IR. In addition, our findings demonstrate that TyG-WC is a simple and effective marker for screening the general US adult population and those with CHD, hypertension, and diabetes and can be effectively used in clinical practice.
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Affiliation(s)
- Shaoyi Yan
- Department of Cardiovascular Medicine, First Hospital of Shanxi Medical University, Taiyuan, China.
| | - Di Wang
- Department of Cardiovascular Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yongping Jia
- Department of Cardiovascular Medicine, First Hospital of Shanxi Medical University, Taiyuan, China.
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Zuzda K, Grycuk W, Małyszko J, Małyszko J. Kidney and lipids: novel potential therapeutic targets for dyslipidemia in kidney disease? Expert Opin Ther Targets 2022; 26:995-1009. [PMID: 36548906 DOI: 10.1080/14728222.2022.2161887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Altered lipid distribution and metabolism may lead to the development and/or progression of chronic kidney disease (CKD). Dyslipidemia is a major risk factor for CKD and increases the risk of cardiovascular events and mortality. Therefore, lipid-lowering treatments may decrease cardiovascular risk and prevent death. AREAS COVERED Key players involved in regulating lipid accumulation in the kidney; contribution of lipids to CKD progression, lipotoxicity, and mitochondrial dysfunction in kidney disease; recent therapeutic approaches for dyslipidemia. EXPERT OPINION The precise mechanisms for regulating lipid metabolism, particularly in kidney disease, are poorly understood. Guidelines for lipid-lowering therapy for CKD are controversial. Several hypolipemic therapies are available, but compared to others, statin therapy is the most common. No clinical trial has evaluated the efficacy of proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) in preventing cardiovascular events or improving kidney function among patients with CKD or kidney transplant recipients. Attractive alternatives, such as PCSK9-small interfering RNA (siRNA) molecules or evinacumab are available. Additionally, several promising agents, such as cyclodextrins and the FXR/TGR5 dual agonist, INT-767, can improve renal lipid metabolism disorders and delay CKD progression. Drugs targeting mitochondrial dysfunction could be an option for the treatment of dyslipidemia and lipotoxicity, particularly in renal diseases.
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Affiliation(s)
- Konrad Zuzda
- Department of Nephrology, Dialysis and Internal Medicine, Medical University of Warsaw, Bialystok, Poland
| | - Wiktoria Grycuk
- Department of Nephrology, Dialysis and Internal Medicine, Medical University of Warsaw, Bialystok, Poland
| | - Jacek Małyszko
- 1st Department of Nephrology and Transplantology, Medical University of Bialystok, Bialystok, Poland
| | - Jolanta Małyszko
- Department of Nephrology, Dialysis and Internal Medicine, Medical University of Warsaw, Bialystok, Poland
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Liu X, Gao L, Huang X, Deng R, Wei X, Lu J, Li S. Lipidomics reveals the potential mechanism of honokiol against adenine-induced chronic kidney disease. Front Pharmacol 2022; 13:1019629. [DOI: 10.3389/fphar.2022.1019629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/05/2022] [Indexed: 11/13/2022] Open
Abstract
Honokiol (HKL), a biphenolic compound, is derived from the bark of Magnolia officinalis, which is used in traditional Chinese medicine for gastrointestinal complaints. HKL has diverse pharmacological activities and has protective effects in various disease models. However, the role and mechanism of HKL in treating chronic kidney disease (CKD) remain unclear. This study was designed to investigate whether HKL can alleviate CKD and the potential mechanism by which it acts. Male Sprague-Dawley rats were fed 0.75% w/w adenine feed for 3 weeks to induce CKD. HKL was administered by gavage at a dose of 5 mg/kg/day for 4 weeks. Using a special kit, serum creatinine (Scr) and blood urea nitrogen (BUN) were measured. To assess renal pathology, periodic acid-Schiff and Masson’s trichrome staining were conducted. Renal lipid profiles were analyzed by ultra-high-performance liquid chromatography/mass spectrometry (UHPLC/MS). The results showed that the administration of HKL reduced Scr and BUN and alleviated renal tubular atrophy and tubulointerstitial fibrosis in an adenine-induced CKD rat model. By using lipidomics, we identified 113 lipids (47 lipids in negative ion mode, 66 lipids in positive ion mode) that could be significantly reversed by HKL treatment in CKD rat kidneys. Most of these lipids belonged to the phosphatidylcholine (PC), ceramide (Cer), phosphatidylethanolamine (PE), and triacylglycerol (TAG) classes. Moreover, HKL improved fatty acid oxidation in the kidneys of CKD rats. In conclusion, this study found that HKL can protect against adenine-induced CKD, possibly through the regulation of lipid metabolism.
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Epidemiology and risk of cardiovascular disease in populations with chronic kidney disease. Nat Rev Nephrol 2022; 18:696-707. [DOI: 10.1038/s41581-022-00616-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2022] [Indexed: 11/08/2022]
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10
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Wang SW, Li LC, Fu CM, Lee YT, Kuo HC, Hsu CN. Trajectory of low-density lipoprotein cholesterol in patients with chronic kidney disease and its association with cardiovascular disease. Front Cardiovasc Med 2022; 9:887915. [PMID: 35958399 PMCID: PMC9360605 DOI: 10.3389/fcvm.2022.887915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 07/06/2022] [Indexed: 11/18/2022] Open
Abstract
Background The role of longitudinal temporal trends in LDL-C in cardiovascular disease (CVD) in patients with chronic kidney disease (CKD) and diabetes is unclear. This study categorized the long-term LDL-C trajectory and determined its association with the incidence of atherosclerotic CVD in patients with CKD according to diabetes status and estimated glomerular filtration rate (eGFR). Methods The risk of atherosclerotic CVD was estimated in 137,127 Taiwanese patients with CKD using six LDL-C trajectory classes determined by the latent class mixed model as optimal, near optimal, above optimal, borderline, sustained high, and declined high over 5 years. Results The risk of CVD was higher in the sustained high LDL-C [>160 mg/dL over time; adjusted hazard ratio (aHR) = 1.68, 95% CI = 1.45–1.94], declined high LDL-C (>160 to <100 mg/dL; aHR = 1.23, 95% CI = 1.11–1.38), and borderline LDL-C (approximately 140 mg/dL over time; aHR = 1.16, 95% CI = 1.07–1.26) groups than in the optimal LDL-C group (<100 mg/dL over time). There was no such association in patients with an eGFR <15 mL/min/1.73 m2. Persistent diabetes was associated with a 1.15–2.47-fold increase in CVD in patients with high LDL-C (>120 mg/dL). Conclusion The LDL-C trajectory pattern was associated with the phenotype of CVD risk. The degree of risk varied according to eGFR and diabetes status. A stable low LDL-C over time was potentially beneficial for prevention of CVD. Intensive lipid management and periodic assessment of LDL-C is essential to reduce the risk of CVD in patients with CKD and diabetes.
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Affiliation(s)
- Shih-Wei Wang
- Department of Pharmacy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
- School of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Lung-Chih Li
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
- Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chung-Ming Fu
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yueh-Ting Lee
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Hsiao-Ching Kuo
- Department of Pharmacy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Chien-Ning Hsu
- Department of Pharmacy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
- School of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan
- *Correspondence: Chien-Ning Hsu,
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Alsamani R, Limin Z, Jianwei W, Dan W, Yuehong S, Ziwei L, Huiwen X, Dongzhi W, Yijun S, Lingye Q, Xingquan Z, Guojun Z. Predictive value of the apolipoprotein B/A1 ratio in intracerebral hemorrhage outcomes. J Clin Lab Anal 2022; 36:e24562. [PMID: 35692081 PMCID: PMC9279969 DOI: 10.1002/jcla.24562] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 05/30/2022] [Accepted: 06/05/2022] [Indexed: 11/15/2022] Open
Abstract
Background and Aims The apolipoprotein B (apoB)/apolipoprotein A1 (apoA1) ratio is a key indicator in predicting future cardiovascular outcomes. However, it is still unclear whether the ratio of apoB/apoA1 is a better predictor of the outcomes after intracerebral hemorrhage (ICH). Therefore, we aimed to assess the relationships between the ratio of apoB/apoA1 and functional outcomes, all‐cause mortality, and stroke recurrence in ICH patients. Methods Two hundred and sixteen Chinese ICH patients participated in this study from December 2018 to December 2019. Laboratory routine tests including hematology analysis, coagulation tests, and lipid levels were examined. The clinical outcomes included functional outcomes evaluated by the modified Rankin Scale score (mRS), all‐cause death, and stroke recurrence 1 year after discharge. Associations between the apoB/apoA1 ratio and the outcomes were evaluated using logistic regression analysis. Based on multivariate analysis, we constructed a nomogram. Univariate survival analysis was performed by the Kaplan–Meier method and log‐rank test. All the patients were classified into two groups by the median value of the apoB/apoA1 ratio: B1 < 0.8 and B2 ≥ 0.8. Results Of the 216 patients, 107 had an apoB/apoA1 ratio ≥ 0.8. Eighty‐five patients had poor functional outcomes (mRS ≥ 3), and 32 patients had severe functional outcomes (mRS ≥ 4). During the 1‐year follow‐up, a total of 18 patients died, and 13 patients had apoB/apoA1 ratio levels ≥0.8 during the 1‐year follow‐up period. Moreover, 16 recurrent strokes were recorded. Adjustments for age, sex, smoking, alcohol, body mass index, lipid levels, and hematoma site and volume showed that a high apoB/apoA1 ratio was significantly related to adverse functional outcomes and all‐cause mortality. The ORs for B2 versus B1 were 3.76 (95% CI: 1.37 to 10.40, p = 0.010), 22.74 (95% CI: 1.08 to 474.65, p = 0.044), and 7.23 (95% CI: 1.28 to 40.88, p = 0.025) for poor functional outcomes with mRS ≥ 3, mRS ≥ 4, and all‐cause mortality, respectively. Conclusion An increased apoB/apoA1 ratio at admission was independently related to poor functional outcome and all‐cause mortality in ICH patients at the 1‐year follow‐up.
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Affiliation(s)
- Rasha Alsamani
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Zhang Limin
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Wu Jianwei
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Wang Dan
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Sun Yuehong
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Liu Ziwei
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Xu Huiwen
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Wang Dongzhi
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Shi Yijun
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Qian Lingye
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Zhao Xingquan
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Zhang Guojun
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
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Migdalis IN, Ioannidis IM, Papanas N, Raptis AE, Sotiropoulos AE, Dimitriadis GD. Hypertriglyceridemia and Other Risk Factors of Chronic Kidney Disease in Type 2 Diabetes: A Hospital-Based Clinic Population in Greece. J Clin Med 2022; 11:jcm11113224. [PMID: 35683611 PMCID: PMC9181038 DOI: 10.3390/jcm11113224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 05/24/2022] [Accepted: 06/03/2022] [Indexed: 02/04/2023] Open
Abstract
Aims/Introduction: Several reports indicate an increasing prevalence of chronic kidney disease (CKD) in type 2 diabetes mellitus (T2DM). Hyperglycemia and hypertension are the main risk factors for CKD development and progression. However, despite the achievement of recommended targets for blood glucose and blood pressure (BP), the residual risk of diabetic chronic kidney disease (DCKD) remains relatively high. The aim of this study is to examine dyslipidemia and other major risk factors to provide support for the prevention and treatment of DCKD. Materials and Methods: Participants are from the Redit-2-Diag study that examines 1759 subjects within a period of 6 months. DCKD severity is staged according to KDIGO criteria. Results: An increase in hemoglobin A1c (1 unit) and systolic blood pressure (1 mm Hg) increases the probability of being classified into a higher CKD stage by 14% and 26%, respectively. Moreover, an increase of triglycerides by 88.5 mg/dL increases the risk of classification to a worse CKD stage by 24%. Conclusions: Elevated triglycerides, systolic blood pressure, and poor glycemic control increase the risk of CKD in T2DM and should be addressed in the treatment strategies.
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Affiliation(s)
- Ilias N. Migdalis
- Second Medical Department and Diabetes Centre, NIMTS Hospital, 115 21 Athens, Greece
- Correspondence:
| | - Ioannis M. Ioannidis
- First Medical Department and Diabetes Centre, Hospital of Nea Ionia Konstantopoulio-Patision, 142 33 Athens, Greece;
| | - Nikolaos Papanas
- Second Department of Internal Medicine and Diabetes Centre, University Hospital of Alexandroupolis, Democritus University of Thrace, 681 00 Alexandroupolis, Greece;
| | - Athanasios E. Raptis
- Second Department of Internal Medicine, Research Institute and Diabetes Centre, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece; (A.E.R.); (G.D.D.)
| | | | - George D. Dimitriadis
- Second Department of Internal Medicine, Research Institute and Diabetes Centre, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece; (A.E.R.); (G.D.D.)
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Zhang S, Li ZF, Shi HW, Zhang WJ, Sui YG, Li JJ, Dou KF, Qian J, Wu NQ. Comparison of Low-Density Lipoprotein Cholesterol (LDL-C) Goal Achievement and Lipid-Lowering Therapy in the Patients With Coronary Artery Disease With Different Renal Functions. Front Cardiovasc Med 2022; 9:859567. [PMID: 35620524 PMCID: PMC9127229 DOI: 10.3389/fcvm.2022.859567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/08/2022] [Indexed: 11/13/2022] Open
Abstract
Aim The aim of this study was to evaluate the relationship between renal function and low-density lipoprotein cholesterol (LDL-C) goal achievement and compare the strategy of lipid-lowering therapy (LLT) among the patients with coronary artery disease (CAD) with different renal functions. Methods In this study, we enrolled 933 Chinese patients with CAD from September 2020 to June 2021 admitted to the Cardiometabolic Center of Fuwai Hospital in Beijing consecutively. All individuals were divided into two groups based on their estimated glomerular filtration rate (eGFR). The multiple logistical regression analysis was performed to identify and compare the independent factors which impacted LDL-C goal achievement in the two groups after at least 3 months of treatment. Results There were 808 subjects with eGFR ≥ 60 ml/min/1.73 m2 who were divided into Group 1 (G1). A total of 125 patients with eGFR <60 ml/min/1.73 m2 were divided into Group 2 (G2). The rate of LDL-C goal attainment (LDL-C <1.4 mmol/L) was significantly lower in G2 when compared with that in G1 (24.00% vs. 35.52%, P = 0.02), even though there was no significant difference in the aspect of LLT between the two groups (high-intensity LLT: 82.50% vs. 85.60% P = 0.40). Notably, in G1, the proportion of LDL-C goal achievement increased with the intensity of LLT (23.36% vs. 39.60% vs. 64.52% in the subgroup under low-/moderate-intensity LLT, or high-intensity LLT without proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor (PCSK9i), or high-intensity LLT with PCSK9i, respectively, P < 0.005). In addition, in G2, there was a trend that the rate of LDL-C goal achievement was higher in the subgroup under high-intensity LLT (26.60% in the subgroup under high-intensity LLT without PCSK9i and 25.00% in the subgroup under high-intensity LLT with PCSK9i) than that under low-/moderate-intensity LLT (15.38%, P = 0.49). Importantly, after multiple regression analysis, we found that eGFR <60 ml/min/1.73 m2 [odds ratio (OR) 1.81; 95%CI, 1.15–2.87; P = 0.01] was an independent risk factor to impact LDL-C goal achievement. However, the combination strategy of LLT was a protective factor for LDL-C goal achievement independently (statin combined with ezetimibe: OR 0.42; 95%CI 0.30–0.60; P < 0.001; statin combined with PCSK9i: OR 0.15; 95%CI 0.07–0.32; P < 0.001, respectively). Conclusion Impaired renal function (eGFR <60 ml/min/1.73 m2) was an independent risk factor for LDL-C goal achievement in the patients with CAD. High-intensity LLT with PCSK9i could improve the rate of LDL-C goal achievement significantly. It should be suggested to increase the proportion of high-intensity LLT with PCSK9i for patients with CAD, especially those with impaired renal function.
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Yu J, Xia X, Huang NY, Qiu YG, Yang X, Mao HP, Chen W, Huang FX. Association of Ratio of Apolipoprotein B to Apolipoprotein A1 With Survival in Peritoneal Dialysis. Front Nutr 2022; 9:801979. [PMID: 35399692 PMCID: PMC8993134 DOI: 10.3389/fnut.2022.801979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 03/02/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundAlthough the ratio of apolipoprotein B (apo B) to apolipoprotein A1 (apo A1) (apo B/apo A1) seems to be associated with mortality in hemodialysis (HD) patients, the association of apo B/apo A1 ratio with death remains not clear in peritoneal dialysis (PD) patients.AimsThe study targets to examine the relationship of apo B/apo A1 ratio with survival in patients receiving PD treatment.MethodsIn this single-center prospective observational cohort study, we enrolled 1,616 patients receiving PD treatment with a median follow-up time of 47.6 months. We used a multivariable Cox proportional hazards model to examine the relationship between apo B/apo A1 ratio and cardiovascular (CV) and all-cause mortality. The association of apo B/apo A1 ratio with atherosclerotic and non-atherosclerotic CV mortality was further evaluated by competing risk regression models.ResultsDuring the follow-up, 508 (31.4%) patients died, 249 (49.0%) died from CV events, of which 149 (59.8%) were atherosclerotic CV mortality. In multivariable models, for 1-SD increase in apo B/apo A1 ratio level, the adjusted hazard ratios for CV and all-cause mortality were 1.26 [95% confidence interval (CI), 1.07–1.47; P = 0.005] and 1.20 (95% CI, 1.07–1.35; P = 0.003), respectively. The adjusted subdistribution hazard ratios for atherosclerotic and non-atherosclerotic CV mortality were 1.43 (95% CI, 1.19–1.73; P < 0.001) and 0.85 (95% CI, 0.64–1.13; P = 0.256), respectively. For quartile analysis, patients in quartile 4 had higher CV, all-cause, and atherosclerotic CV mortality compared with those in quartile 1. Moreover, apo B/apo A1 ratio had a diabetes-related difference in CV, all-cause, and atherosclerotic CV mortality.ConclusionElevated apo B/apo A1 ratio level was significantly associated with CV, all-cause, and atherosclerotic CV mortality in patients undergoing PD. Moreover, the association was especially statistically significant in patients with diabetes.
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Affiliation(s)
- Jing Yu
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xi Xia
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Na-Ya Huang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ya-Gui Qiu
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiao Yang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hai-Ping Mao
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Wei Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- *Correspondence: Wei Chen,
| | - Feng-Xian Huang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Feng-Xian Huang,
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15
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Quiroga B, Ramos PM, Horrillo AS, Ortiz A, Valdivieso JM, Carrero JJ. Triglycerides-glucose index and the risk of cardiovascular events in persons with non-diabetic chronic kidney disease. Clin Kidney J 2022; 15:1705-1712. [PMID: 36003671 PMCID: PMC9394724 DOI: 10.1093/ckj/sfac073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Indexed: 11/12/2022] Open
Abstract
Background Chronic kidney disease (CKD) is associated with high rates of cardiovascular events. We
here explored whether the recently described triglycerides–glucose index (TyG) predicted
the incidence of major adverse cardiovascular events (MACE) in these patients. Methods This observationa study was undertaken of 1142 persons with CKD and free from diabetes
and 460 controls from the prospective NEFRONA study. The study exposure was the TyG
index at cohort inclusion. The study outcome was MACE (cardiovascular death, nonfatal
myocardial infarction, nonfatal stroke and hospitalization for unstable angina).
Covariates included demographics, comorbidities, lipid profile, renal function and
glycaemic control. Cox regression models evaluated the association between TyG index and
4-point MACE in patients with CKD. Results TyG was higher [median 8.63 (interquartile range 8.32–8.95)] in patients with CKD
compared with controls (P < 0.001). TyG increased across albuminuria categories but
was similar for glomerular filtration rate categories among patients with CKD stages
3–5. During 46 ± 13 months of follow-up, 49 (4.3%) MACE were registered. TyG predicted
the occurrence of MACE {hazard ratio (HR) 1.95 [95% confidence interval (CI) 1.11–3.40]
per TyG unit increase; and HR 2.29 (95% CI 1.24–4.20] for TyG values above the median of
8.63 units}. Sensitivity analysis for subgroups of participants according to age, kidney
function, body mass index and imaging evidence of atherosclerosis yielded similar
results, as did adjusted analysis. Neither triglycerides nor glucose alone was
associated with MACE. Conclusions The TyG index is associated with the occurrence of major cardiovascular events in
persons free from diabetes with non-dialysis dependent CKD.
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Affiliation(s)
- Borja Quiroga
- IIS-La Princesa. Nephrology Department, Hospital Universitario de la Princesa, Madrid, Spain
| | | | - Ana Sánchez Horrillo
- IIS-La Princesa. Nephrology Department, Hospital Universitario de la Princesa, Madrid, Spain
| | - Alberto Ortiz
- IIS-Fundación Jimenez Diaz, School of Medicine, Universidad Autónoma de Madrid, Fundación Renal Iñigo Alvarez de Toledo-IRSIN, REDinREN, Instituto de Investigación Carlos III, Madrid, Spain
| | - José Manuel Valdivieso
- Vascular and Renal Translational Research Group, UDETMA, REDinREN del ISCIII, IRBLleida, Lleida, Spain
| | - Juan Jesús Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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16
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Lipidomic approaches to dissect dysregulated lipid metabolism in kidney disease. Nat Rev Nephrol 2022; 18:38-55. [PMID: 34616096 PMCID: PMC9146017 DOI: 10.1038/s41581-021-00488-2] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/06/2021] [Indexed: 01/03/2023]
Abstract
Dyslipidaemia is a hallmark of chronic kidney disease (CKD). The severity of dyslipidaemia not only correlates with CKD stage but is also associated with CKD-associated cardiovascular disease and mortality. Understanding how lipids are dysregulated in CKD is, however, challenging owing to the incredible diversity of lipid structures. CKD-associated dyslipidaemia occurs as a consequence of complex interactions between genetic, environmental and kidney-specific factors, which to understand, requires an appreciation of perturbations in the underlying network of genes, proteins and lipids. Modern lipidomic technologies attempt to systematically identify and quantify lipid species from biological systems. The rapid development of a variety of analytical platforms based on mass spectrometry has enabled the identification of complex lipids at great precision and depth. Insights from lipidomics studies to date suggest that the overall architecture of free fatty acid partitioning between fatty acid oxidation and complex lipid fatty acid composition is an important driver of CKD progression. Available evidence suggests that CKD progression is associated with metabolic inflexibility, reflecting a diminished capacity to utilize free fatty acids through β-oxidation, and resulting in the diversion of accumulating fatty acids to complex lipids such as triglycerides. This effect is reversed with interventions that improve kidney health, suggesting that targeting of lipid abnormalities could be beneficial in preventing CKD progression.
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17
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Bermudez-Lopez M, Perpiñan H, Amigo N, Castro E, Alonso N, Mauricio D, Fernandez E, Valdivielso JM. Advanced lipoprotein parameters could better explain atheromatosis in non-diabetic chronic kidney disease patients. Clin Kidney J 2021; 14:2591-2599. [PMID: 34950470 PMCID: PMC8690051 DOI: 10.1093/ckj/sfab113] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 06/14/2021] [Indexed: 12/12/2022] Open
Abstract
Background Chronic kidney disease (CKD) patients have a high burden of atheromatous cardiovascular disease (ASCVD) not fully explained by traditional lipid parameters. Lipoprotein composition and subclass particle number information could improve ASCVD risk assessment. The objective of this study is to investigate the association of advanced lipoprotein parameters with the risk of atheromatosis in a subpopulation of the NEFRONA study. Methods This was a cross-sectional study in 395 non-diabetic individuals (209 CKD and 186 non-diabetic and non-CKD) without statin therapy. Vascular ultrasound examination assessing 10 territories was combined with advanced lipoprotein testing performed by nuclear magnetic resonance spectroscopy. Logistic regression was used to estimate adjusted odds ratios (ORs) per 1 standard deviation increment. Results Atheromatosis was more prevalent in CKD patients (33.9% versus 64.6%). After adjusting for age, gender, smoking habit and CKD stage, the amount of triglycerides (TGs) within low-density lipoprotein (LDL) lipoproteins was independently and positively associated with atheromatosis [OR 1.33; 95% confidence interval (CI) 1.03–1.74; P = 0.03]. Similarly, total and medium LDL particles (LDL-Ps) showed a positive association (OR 1.29; 95% CI 1.00–1.68; P = 0.05 and OR 1.34; 95% CI 1.04–1.75; P = 0.03, respectively). TG-loaded medium LDL-Ps were higher in CKD patients compared with controls and showed an adjusted OR of 1.40 (95% CI 1.09–1.82; P = 0.01) in non-diabetic patients (CKD and non-CKD individuals). In contrast, non-diabetic CKD patients showed a similar coefficient but the significance was lost (OR 1.2; 95% CI 0.8–1.7; P = 0.359). Conclusions Non-diabetic CKD patients showed a higher amount of TG-loaded medium LDL-Ps compared with controls. These particles were independently associated with atheromatosis in non-diabetic patients.
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Affiliation(s)
- Marcelino Bermudez-Lopez
- Vascular and Renal Translational Research Group, Spanish Research Network for Renal Diseases (REDINREN del ISCIII), IRBLleida, Lleida, Spain
| | - Hector Perpiñan
- Conselleria de Sanitat Universal i Salut Pública, Generalitat Valenciana, Valencia, Spain
| | | | - Eva Castro
- Vascular and Renal Translational Research Group, Spanish Research Network for Renal Diseases (REDINREN del ISCIII), IRBLleida, Lleida, Spain
| | - Nuria Alonso
- Endocrinology and Nutrition Department, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain
| | - Didac Mauricio
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Barcelona, Spain
| | - Elvira Fernandez
- Vascular and Renal Translational Research Group, Spanish Research Network for Renal Diseases (REDINREN del ISCIII), IRBLleida, Lleida, Spain
| | - Jose M Valdivielso
- Vascular and Renal Translational Research Group, Spanish Research Network for Renal Diseases (REDINREN del ISCIII), IRBLleida, Lleida, Spain
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18
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Jieni L, Yazhi X, Xiaorong Z, Dan L, Yusheng M, Jiahuan R, Bin Z, Li L, Zhigang G. Effect of renal function on high-density lipoprotein particles in patients with coronary heart disease. BMC Cardiovasc Disord 2021; 21:534. [PMID: 34772349 PMCID: PMC8588638 DOI: 10.1186/s12872-021-02354-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 10/25/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Although renal insufficiency and dyslipidemia are known to be closely associated, the effect of kidney function on the size and clinical value of high-density lipoprotein (HDL) particles remains largely unknown, especially in patients with coronary heart disease. METHODS A total of 419 coronary heart disease patients and 105 non-coronary heart disease patients were included. HDL particle size, represented by HDL-C/apoA-I, was compared between groups stratified by estimated glomerular filtration rate (eGFR) and Gensini scores using standard Student's t test and one-way ANOVA. Pearson's correlation test was performed to analyze the association between eGFR and HDL-C/apoA-I in patients with coronary heart disease. The relationship between HDL particle size and the occurrence of coronary heart disease was explored using Univariate logistic regression analysis. RESULTS In patients with coronary heart disease, between-group analysis revealed that HDL-C/apoA-I increased as eGFR declined, and significance appeared as eGFR declined to under 60 ml/min·1.73 m2 (P < 0.001), and Pearson's correlation test also confirmed an inverse correlation between eGFR and HDL-C/apoA-I levels in coronary heart disease patients. When stratified by Gensini scores, in coronary heart disease patients with eGFR ≥ 90 mL/(min·1.73 m2), those with higher Gensini scores had smaller HDL-C/apoA-I. However, with or without kidney insufficiency, smaller HDL-C/apoA-I was associated with a higher occurrence of coronary heart disease (P < 0.05). CONCLUSION With the presence of renal insufficiency, HDL-C/apoA1 was higher in patients with coronary heart disease. Lower HDL-C/apoA1 was still associated with a higher occurrence of coronary heart disease, but the original association between lower HDL-C/apoA1 and more severe coronary artery stenosis was lost in patients with renal insufficiency.
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Affiliation(s)
- Long Jieni
- Huiqiao Medical Center, Standardized General Practice Training Site, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China
| | - Xue Yazhi
- Huiqiao Medical Center, Standardized General Practice Training Site, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China
| | - Zeng Xiaorong
- Huiqiao Medical Center, Standardized General Practice Training Site, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China
| | - Liu Dan
- Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China
| | - Ma Yusheng
- Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China
| | - Rao Jiahuan
- Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China
| | - Zhang Bin
- Huiqiao Medical Center, Standardized General Practice Training Site, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China
| | - Li Li
- Huiqiao Medical Center, Standardized General Practice Training Site, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China.
| | - Guo Zhigang
- Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China.
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19
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Soohoo M, Hashemi L, Hsiung JT, Moradi H, Budoff MJ, Kovesdy CP, Kalantar-Zadeh K, Streja E. Risk of Atherosclerotic Cardiovascular Disease and Nonatherosclerotic Cardiovascular Disease Hospitalizations for Triglycerides Across Chronic Kidney Disease Stages Among 2.9 Million US Veterans. J Am Heart Assoc 2021; 10:e022988. [PMID: 34729994 PMCID: PMC9075381 DOI: 10.1161/jaha.121.022988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Background High triglycerides are associated with atherosclerotic cardiovascular disease (ASCVD) risks. Among patients with advanced chronic kidney disease (CKD), the association of elevated triglycerides with mortality is diminished and, thus, we investigated the relationship of triglycerides with ASCVD and non‐ASCVD hospitalizations across CKD stages. Methods and Results The cohort comprised 2 963 176 veterans who received care in 2004 to 2006 (baseline) and were followed up to 2014. Using Cox models, we evaluated baseline and time‐varying triglycerides with time to ASCVD or non‐ASCVD hospitalizations, stratified by baseline CKD stage, and adjusted for demographics and baseline or time‐updated clinical characteristics. The cohort mean±SD age was 63±14 years, with a baseline median (interquartile range) triglycerides level of 127 (87–189) mg/dL, and a quarter had prevalent CKD. There was a linear association between baseline triglycerides and ASCVD risk; however, the risk with high triglycerides ≥240 mg/dL attenuated with worsening CKD stages (reference: triglycerides 120 to <160 mg/dL). Baseline triglycerides were associated with a U‐shaped relationship for non‐ASCVD events in patients with CKD 3A to 3B. Patients with late‐stage CKD had lower to null relationships between baseline triglycerides and non‐ASCVD events. Time‐varying triglycerides associations with ASCVD were similar to baseline analyses. Yet, the time‐varying triglycerides relationship with non‐ASCVD events was inverse and linear, where elevated triglycerides were associated with lower risks. Conclusions Associations of higher triglycerides with ASCVD and non‐ASCVD events declined across advancing CKD stages, where a lower to null risk was observed in patients with advanced CKD. Studies are needed to examine the impact of advanced CKD on triglycerides metabolism and its association with outcomes in this high‐risk population.
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Affiliation(s)
- Melissa Soohoo
- Division of Nephrology and Hypertension Harold Simmons Center for Kidney Disease Research and Epidemiology University of California Irvine Medical Center Orange CA.,Nephrology Section Tibor Rubin Veterans Affairs Medical Center Long Beach CA
| | - Leila Hashemi
- Department of General Internal Medicine Greater Los Angeles Healthcare System Los Angeles CA.,David Geffen School of Medicine University of California Los Angeles Los Angeles CA
| | - Jui-Ting Hsiung
- Division of Nephrology and Hypertension Harold Simmons Center for Kidney Disease Research and Epidemiology University of California Irvine Medical Center Orange CA.,Nephrology Section Tibor Rubin Veterans Affairs Medical Center Long Beach CA
| | - Hamid Moradi
- Division of Nephrology and Hypertension Harold Simmons Center for Kidney Disease Research and Epidemiology University of California Irvine Medical Center Orange CA.,Nephrology Section Tibor Rubin Veterans Affairs Medical Center Long Beach CA
| | - Matthew J Budoff
- Division of Cardiology The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center Torrance CA
| | - Csaba P Kovesdy
- Nephrology Section Memphis Veterans Affairs Medical Center Memphis TN.,Division of Nephrology University of Tennessee Health Science Center Memphis TN
| | - Kamyar Kalantar-Zadeh
- Division of Nephrology and Hypertension Harold Simmons Center for Kidney Disease Research and Epidemiology University of California Irvine Medical Center Orange CA.,Nephrology Section Tibor Rubin Veterans Affairs Medical Center Long Beach CA
| | - Elani Streja
- Division of Nephrology and Hypertension Harold Simmons Center for Kidney Disease Research and Epidemiology University of California Irvine Medical Center Orange CA.,Nephrology Section Tibor Rubin Veterans Affairs Medical Center Long Beach CA
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20
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Hirano T, Satoh N, Kodera R, Hirashima T, Suzuki N, Aoki E, Oshima T, Hosoya M, Fujita M, Hayashi T, Ito Y. Dyslipidemia in diabetic kidney disease classified by proteinuria and renal dysfunction: A cross-sectional study from a regional diabetes cohort. J Diabetes Investig 2021; 13:657-667. [PMID: 34665936 PMCID: PMC9017612 DOI: 10.1111/jdi.13697] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 09/17/2021] [Accepted: 10/17/2021] [Indexed: 11/30/2022] Open
Abstract
AIMS/INTRODUCTION Diabetic kidney disease (DKD) exacerbates dyslipidemia and increases the incidence of atherosclerotic cardiovascular disease. DKD is a concept that includes typical diabetic nephropathy and an atypical phenotype without proteinuria. We investigated dyslipidemia in different DKD phenotypes that have not been fully studied. MATERIALS AND METHODS Fasting plasma was obtained from 1,073 diabetes patients enrolled in the regional diabetes cohort (ViNA cohort). Non-proteinuric and proteinuric DKD were defined as an estimated glomerular filtration rate <60 mL/min/1.73 m2 in the absence or presence of urinary albumin-to-creatinine ratio >300 mg/g. Novel lipid risk factors, low-density lipoprotein (LDL) triglyceride (TG) and small dense LDL cholesterol were measured using our established homologous assay. RESULTS The proportion of atherosclerotic cardiovascular disease patients was higher in non-proteinuric DKD and even higher in proteinuric DKD than in non-DKD. Increased estimated glomerular filtration rate grade and albuminuric stage were independently correlated with higher TG, TG-rich lipoprotein cholesterol and apolipoprotein CIII. Therefore, proteinuric DKD had the highest of these levels. Small dense LDL cholesterol and LDL-TG were higher in the proteinuria without renal dysfunction group in the lipid-lowering drug-free subset. Lipoprotein(a) was higher in DKD regardless of proteinuria. CONCLUSIONS Proteinuria was associated with an atherogenic subspecies of LDL, whereas renal dysfunction was associated with increased lipoprotein(a). Proteinuria and renal dysfunction independently exacerbated TG-rich lipoprotein-related dyslipidemia. This is in good agreement with the results of large-scale clinical studies in which proteinuria and renal dysfunction synergistically increased the risk of atherosclerotic cardiovascular disease in populations with diabetes.
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Affiliation(s)
- Tsutomu Hirano
- Diabetes Center, Ebina General Hospital, Ebina City, Japan
| | - Noriyuki Satoh
- Vaccine & Diagnostics R&D Department, Denka Co., Ltd, Gosen, Japan
| | - Rieko Kodera
- Diabetes Center, Ebina General Hospital, Ebina City, Japan
| | | | - Natsuko Suzuki
- Diabetes Center, Ebina General Hospital, Ebina City, Japan
| | - Ema Aoki
- Diabetes Center, Ebina General Hospital, Ebina City, Japan
| | - Taito Oshima
- Diabetes Center, Ebina General Hospital, Ebina City, Japan
| | - Mitsuru Hosoya
- Diabetes Center, Ebina General Hospital, Ebina City, Japan
| | | | | | - Yasuki Ito
- Vaccine & Diagnostics R&D Department, Denka Co., Ltd, Gosen, Japan
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21
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Theofilis P, Vordoni A, Koukoulaki M, Vlachopanos G, Kalaitzidis RG. Dyslipidemia in Chronic Kidney Disease: Contemporary Concepts and Future Therapeutic Perspectives. Am J Nephrol 2021; 52:693-701. [PMID: 34569479 DOI: 10.1159/000518456] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 07/12/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Chronic kidney disease (CKD) is an increasingly prevalent disease state met with great morbidity and mortality primarily resulting from the high incidence of adverse cardiovascular outcomes. Therapeutic strategies in this patient population aim at controlling modifiable cardiovascular risk factors, including dyslipidemia. SUMMARY In this review article, we first provide the latest pathophysiologic evidence regarding the altered dyslipidemia pattern in CKD, followed by its contemporary management according to the latest guidelines. Moreover, we present the current progress regarding the emerging therapeutic strategies. Key Messages: The presence of renal impairment leads to alterations in cholesterol structure, metabolism, and reverse transport paired with increased oxidative stress. Statins remain the cornerstone of dyslipidemia management in patients with kidney dysfunction who are at risk for cardiovascular events. However, their efficacy is debatable in end-stage renal disease under renal replacement therapy. Therefore, novel treatment approaches aiming at hypertriglyceridemia, proprotein convertase subtilisin/kexin type 9, and lipoprotein(a) are under rigorous investigation while the research of gut microbiome might provide additional mechanistic and therapeutic insight.
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Affiliation(s)
| | - Aikaterini Vordoni
- Department of Nephrology, General Hospital of Nikaia-Piraeus, Athens, Greece
| | - Maria Koukoulaki
- Department of Nephrology, General Hospital of Nikaia-Piraeus, Athens, Greece
| | | | - Rigas G Kalaitzidis
- Department of Nephrology, General Hospital of Nikaia-Piraeus, Athens, Greece
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22
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Aguilar-Ramirez D, Alegre-Díaz J, Herrington WG, Staplin N, Ramirez-Reyes R, Gnatiuc L, Hill M, Romer F, Torres J, Trichia E, Wade R, Collins R, Emberson JR, Kuri-Morales P, Tapia-Conyer R. Association of Kidney Function With NMR-Quantified Lipids, Lipoproteins, and Metabolic Measures in Mexican Adults. J Clin Endocrinol Metab 2021; 106:2828-2839. [PMID: 34216216 PMCID: PMC8475241 DOI: 10.1210/clinem/dgab497] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Chronic kidney disease (CKD) and diabetes are associated with dyslipidemia, metabolic abnormalities, and atherosclerotic risk. Nuclear magnetic resonance (NMR) spectroscopy provides much more detail on lipoproteins than traditional assays. METHODS In about 38 000 participants from the Mexico City Prospective Study, aged 35 to 84 years and not using lipid-lowering medication, NMR spectroscopy quantified plasma concentrations of lipoprotein particles, their lipidic compositions, and other metabolic measures. Linear regression related low estimated glomerular filtration rate (eGFR; <60 mL/min/1.73 m2) to each NMR measure after adjustment for confounders and for multiplicity. Analyses were done separately for those with and without diabetes. RESULTS Among the 38 081 participants (mean age 52 years, 64% women), low eGFR was present for 4.8% (306/6403) of those with diabetes and 1.2% (365/31 678) of those without diabetes. Among both those with and without diabetes, low eGFR was significantly associated with higher levels of 58 NMR measures, including apolipoprotein B (Apo-B), the particle numbers of most Apo-B containing lipoproteins, the cholesterol and triglycerides carried in these lipoproteins, several fatty acids, total cholines and phosphatidylcholine, citrate, glutamine, phenylalanine, β-OH-butyrate, and the inflammatory measure glycoprotein-A, and significantly lower levels of 13 NMR measures, including medium and small high-density lipoprotein particle measures, very low-density lipoprotein particle size, the ratio of saturated:total fatty acids, valine, tyrosine, and aceto-acetate. CONCLUSIONS In this Mexican population with high levels of adiposity and diabetes, low kidney function was associated with widespread alterations in lipidic and metabolic profiles, both in those with and without diabetes. These alterations may help explain the higher atherosclerotic risk experienced by people with CKD.
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Affiliation(s)
- Diego Aguilar-Ramirez
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jesus Alegre-Díaz
- Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | - William G Herrington
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Natalie Staplin
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Raúl Ramirez-Reyes
- Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | - Louisa Gnatiuc
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Michael Hill
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Frederik Romer
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jason Torres
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Eirini Trichia
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rachel Wade
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rory Collins
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jonathan R Emberson
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Pablo Kuri-Morales
- Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | - Roberto Tapia-Conyer
- Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
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23
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Fukase T, Dohi T, Chikata Y, Takahashi N, Endo H, Doi S, Nishiyama H, Kato Y, Okai I, Iwata H, Okazaki S, Isoda K, Miyauchi K, Daida H, Minamino T. Serum apolipoprotein E levels predict residual cardiovascular risk in patients with chronic coronary syndrome undergoing first percutaneous coronary intervention and on-statin treatment. Atherosclerosis 2021; 333:9-15. [PMID: 34418683 DOI: 10.1016/j.atherosclerosis.2021.08.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 07/13/2021] [Accepted: 08/11/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND AND AIMS Little is known about the long-term impact of apolipoprotein E (apoE) on residual cardiovascular risk in patients with chronic coronary syndrome (CCS) receiving statin treatment. METHODS A total of 1109 consecutive patients (mean age, 67 ± 10 years; 83% men) with CCS who underwent their first intervention between 2000 and 2016 were included in this study. All patients had achieved low-density lipoprotein cholesterol (LDL-C) <100 mg/dL on statin treatment and were divided into two groups based on median serum apoE values. We evaluated the incidence of major adverse cardiovascular events (MACEs), including cardiovascular death, non-fatal acute coronary syndrome, and target vessel revascularization. RESULTS A total of 552 and 557 patients were categorized to the higher and lower apoE groups, respectively. There were significant relationships between apoE levels and total cholesterol levels, triglyceride levels, high-density lipoprotein cholesterol levels, and estimated remnant cholesterol, except for LDL-C levels. During the median follow-up period of 5.1 years, 195 patients (17.6%) developed MACEs. Kaplan-Meier analysis revealed that the cumulative incidence of MACEs in the higher apoE group was significantly higher than in the lower apoE group (29.5% vs.23.8% log-rank test, p = 0.019). Using multivariable Cox hazard analysis, serum apoE level (1-mg/dL increase) (hazard ratio 1.15; 95% confidence interval 1.03-1.29, p = 0.013) was the strongest independent predictor of MACEs. CONCLUSIONS Serum apoE level could be a strong predictor of residual cardiovascular risk in patients with CCS long-term, even if LDL-C levels are controlled with statin treatment.
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Affiliation(s)
- Tatsuya Fukase
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Tomotaka Dohi
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
| | - Yuichi Chikata
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Norihito Takahashi
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Hirohisa Endo
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Shinichiro Doi
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Hiroki Nishiyama
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Yoshiteru Kato
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Iwao Okai
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Hiroshi Iwata
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Shinya Okazaki
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Kikuo Isoda
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Katsumi Miyauchi
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Hiroyuki Daida
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Tohru Minamino
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan; Japan Agency for Medical Research and Development-Core Research for Evolutionary Medical Science and Technology (AMED-CREST), Japan Agency for Medical Research and Development, 1-7-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan
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Abstract
Cardiovascular (CV) disease (CVD) is the leading cause of morbidity and mortality in patients with chronic kidney disease (CKD) and with end-stage renal disease. CKD has a strong association with dyslipidemia. Dyslipidemias can affect kidney function and increase the risk for CVD development, so it is an important risk factor. Statin therapy can decrease CV events in patients with pre-end-stage CKD and in renal transplant patients, but not in those already on dialysis. This article focuses on epidemiology of CKD, how dyslipidemias confer a higher risk for CVD, the approach to management and treatment of dyslipidemias, and recent guidelines.
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Affiliation(s)
- Aneesha Thobani
- Department of Cardiovascular Disease, Emory University School of Medicine, Cardiovascular Disease Fellowship Training Program, 101 Woodruff Circle, WMB 2125, Atlanta, GA 30322, USA
| | - Terry A Jacobson
- Department of Medicine, Lipid Clinic and Cardiovascular Disease Prevention Program, Emory University School of Medicine, Faculty Office Building, 49 Jesse Hill Jr Dr SE, Atlanta, GA 30303, USA.
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Lamprea-Montealegre JA, Katz R, Scharnagl H, Silbernagel G, März W, Drechsler C, Wanner C, de Boer IH. Triglyceride-Rich Lipoproteins, Apolipoproteins, and Atherosclerotic Cardiovascular Events Among Patients with Diabetes Mellitus and End-Stage Renal Disease on Hemodialysis. Am J Cardiol 2021; 152:63-68. [PMID: 34108090 DOI: 10.1016/j.amjcard.2021.04.023] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 04/12/2021] [Accepted: 04/16/2021] [Indexed: 11/20/2022]
Abstract
Hypertriglyceridemia may be implicated in the high atherosclerotic cardiovascular disease (ASCVD) risk experienced by patients with end-stage renal disease (ESRD). In this post-hoc analysis of the "Die Deutsche Diabetes Dialyse Studie (4D)" clinical trial, we examined incident ASCVD events, defined as myocardial infarction, ischemic stroke, or a coronary revascularization procedure, among 1255 participants with type 2 diabetes and ESRD treated with hemodialysis. Cox-regression methods were used to evaluate the association of triglycerides, very-low density lipoprotein cholesterol (VLDL-C), and apolipoproteins B (Apo B) and C-III (Apo C-III) with ASCVD. During a median follow-up time of 2.3 years, 340 (27%) participants experienced an ASCVD event. Higher concentrations of triglycerides were not associated with ASCVD risk: Hazard ratio (HR) 0.95; 95% CI (0.83, 1.10) per doubling concentration. Similarly, VLDL-C HR 1.01; 95% CI (0.90, 1.13); Apo B HR 1.04; 95% CI (0.93, 1.16); and Apo C-III HR 0.97; 95% CI (0.86, 1.09) (per one standard deviation higher concentrations), were not associated with ASCVD events. These associations did not differ by allocation to treatment to atorvastatin or by concentrations of markers of inflammation or malnutrition. In conclusion, we found no evidence that triglycerides, triglyceride-rich lipoproteins, or apolipoproteins B or C-III were associated with risk of ASCVD events among patients with type 2 diabetes and ESRD on hemodialysis. These results suggest that lowering triglycerides may not decrease atherosclerotic cardiovascular risk in this population.
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Affiliation(s)
- Julio A Lamprea-Montealegre
- Division of Cardiology and Kidney Health Research Collaborative, University of California, San Francisco, California.
| | - Ronit Katz
- Kidney Research Institute, University of Washington, Seattle, Washington
| | - Hubert Scharnagl
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Günther Silbernagel
- Division of Angiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria; Department of Cardiology, Charité Berlin (CBF), Berlin Institute of Health (BIH), And DZHK (German Research Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Winfried März
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria; Synlab Academy, Synlab Holding Germany GmbH, Mannheim, Germany; Department of Internal Medicine 5, Mannheim Medical Faculty, University of Heidelberg, Mannheim, Germany
| | | | - Cristoph Wanner
- Department of Nephrology, University of Würzburg, Würzburg, Germany
| | - Ian H de Boer
- Kidney Research Institute, University of Washington, Seattle, Washington
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Noels H, Lehrke M, Vanholder R, Jankowski J. Lipoproteins and fatty acids in chronic kidney disease: molecular and metabolic alterations. Nat Rev Nephrol 2021; 17:528-542. [PMID: 33972752 DOI: 10.1038/s41581-021-00423-5] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/22/2021] [Indexed: 02/06/2023]
Abstract
Chronic kidney disease (CKD) induces modifications in lipid and lipoprotein metabolism and homeostasis. These modifications can promote, modulate and/or accelerate CKD and secondary cardiovascular disease (CVD). Lipid and lipoprotein abnormalities - involving triglyceride-rich lipoproteins, LDL and/or HDL - not only involve changes in concentration but also changes in molecular structure, including protein composition, incorporation of small molecules and post-translational modifications. These alterations modify the function of lipoproteins and can trigger pro-inflammatory and pro-atherogenic processes, as well as oxidative stress. Serum fatty acid levels are also often altered in patients with CKD and lead to changes in fatty acid metabolism - a key process in intracellular energy production - that induce mitochondrial dysfunction and cellular damage. These fatty acid changes might not only have a negative impact on the heart, but also contribute to the progression of kidney damage. The presence of these lipoprotein alterations within a biological environment characterized by increased inflammation and oxidative stress, as well as the competing risk of non-atherosclerotic cardiovascular death as kidney function declines, has important therapeutic implications. Additional research is needed to clarify the pathophysiological link between lipid and lipoprotein modifications, and kidney dysfunction, as well as the genesis and/or progression of CVD in patients with kidney disease.
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Affiliation(s)
- Heidi Noels
- Institute for Molecular Cardiovascular Research, RWTH Aachen University, University Hospital, Aachen, Germany
- Department of Biochemistry, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands
| | - Michael Lehrke
- Department of Internal Medicine I, RWTH Aachen University, University Hospital, Aachen, Germany
| | - Raymond Vanholder
- Nephrology Section, Department of Internal Medicine and Pediatrics, University Hospital, Ghent, Belgium
| | - Joachim Jankowski
- Institute for Molecular Cardiovascular Research, RWTH Aachen University, University Hospital, Aachen, Germany.
- Department of Pathology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht University, Maastricht, Netherlands.
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Yu J, Xia X, Lin T, Huang N, Qiu Y, Yang X, Mao H, Chen W, Huang F. Non-high-density lipoprotein cholesterol and mortality among peritoneal dialysis patients. J Clin Lipidol 2021; 15:732-742. [PMID: 34312083 DOI: 10.1016/j.jacl.2021.06.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 05/14/2021] [Accepted: 06/26/2021] [Indexed: 12/23/2022]
Abstract
BACKGROUND The association between non-high-density lipoprotein cholesterol (non-HDL-C) and mortality in patients undergoing peritoneal dialysis (PD) is unclear. OBJECTIVE The aim of this study was to evaluate the association of non-HDL-C with cardiovascular (CV) and all-cause mortality in PD patients. METHODS We conducted a prospective cohort study. A total of 1,616 incident PD patients from a single PD center in South China were followed for a median of 47.6 months. The independent association of non-HDL-C with CV and all-cause mortality was evaluated by a Cox regression analysis. RESULTS During the follow-up period, 508 (31.4%) patients died, of which 249 (49.0%) were due to CV events. Atherosclerotic CV mortality accounted for 59.8% of CV mortality. In multivariable models, for 1-SD increase in non-HDL-C level, the hazard ratios (HRs) for CV and all-cause mortality were 1.52 [95% confidence interval (CI), 1.32-1.75; P < 0.001)] and 1.24 (95% CI, 1.12-1.39; P < 0.001), respectively. Furthermore, non-HDL-C was positively associated with atherosclerotic CV mortality (HR, 1.29; 95% CI, 1.09-1.52; P = 0.004) but not associated with nonatherosclerotic CV mortality (HR, 0.79; 95% CI, 0.59-1.05; P = 0.108). The quartile analyses showed a similar pattern to the continuous variable analyses of non-HDL-C levels for CV and all-cause mortality but did not demonstrate statistical significance for atherosclerotic or nonatherosclerotic CV mortality. CONCLUSION An elevated non-HDL-C level was independently associated with an increased risk of CV mortality, especially atherosclerotic CV mortality, and all-cause mortality in incident PD patients.
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Affiliation(s)
- Jing Yu
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China; Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Xi Xia
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China; Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Tong Lin
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China; Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Naya Huang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China; Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Yagui Qiu
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China; Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Xiao Yang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China; Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Haiping Mao
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China; Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Wei Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China; Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Fengxian Huang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China; Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
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28
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Speer T, Ridker PM, von Eckardstein A, Schunk SJ, Fliser D. Lipoproteins in chronic kidney disease: from bench to bedside. Eur Heart J 2021; 42:2170-2185. [PMID: 33393990 DOI: 10.1093/eurheartj/ehaa1050] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 10/16/2020] [Accepted: 12/08/2020] [Indexed: 12/24/2022] Open
Abstract
Chronic kidney disease (CKD) is associated with high cardiovascular risk. CKD patients exhibit a specific lipoprotein pattern termed 'uraemic dyslipidaemia', which is characterized by rather normal low-density lipoprotein cholesterol, low high-density lipoprotein cholesterol, and high triglyceride plasma levels. All three lipoprotein classes are involved in the pathogenesis of CKD-associated cardiovascular diseases (CVDs). Uraemia leads to several modifications of the structure of lipoproteins such as changes of the proteome and the lipidome, post-translational protein modifications (e.g. carbamylation) and accumulation of small-molecular substances within the lipoprotein moieties, which affect their functionality. Lipoproteins from CKD patients interfere with lipid transport and promote inflammation, oxidative stress, endothelial dysfunction as well as other features of atherogenesis, thus contributing to the development of CKD-associated CVD. While, lipid-modifying therapies play an important role in the management of CKD patients, their efficacy is modulated by kidney function. Novel therapeutic agents to prevent the adverse remodelling of lipoproteins in CKD and to improve their functional properties are highly desirable and partially under development.
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Affiliation(s)
- Thimoteus Speer
- Translational Cardio-Renal Medicine, Saarland University, Kirrberger Strasse, Building 41, D-66421 Homburg/Saar, Germany.,Department of Internal Medicine IV, Saarland University Hospital, Nephrology and Hypertension, Kirrberger Strasse, Building 41, D-66421 Homburg/Saar, Germany
| | - Paul M Ridker
- Center for Cardiovascular Disease Prevention, Brigham and Women's Hospital, Harvard Medical School, 900 Commonwealth Avenue, Boston, MA 02215, USA
| | - Arnold von Eckardstein
- Institute of Clinical Chemistry, University Hospital Zurich, Rämistrasse 100, CH-8091 Zurich, Switzerland
| | - Stefan J Schunk
- Translational Cardio-Renal Medicine, Saarland University, Kirrberger Strasse, Building 41, D-66421 Homburg/Saar, Germany
| | - Danilo Fliser
- Translational Cardio-Renal Medicine, Saarland University, Kirrberger Strasse, Building 41, D-66421 Homburg/Saar, Germany
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Harzandi A, Lee S, Bidkhori G, Saha S, Hendry BM, Mardinoglu A, Shoaie S, Sharpe CC. Acute kidney injury leading to CKD is associated with a persistence of metabolic dysfunction and hypertriglyceridemia. iScience 2021; 24:102046. [PMID: 33554059 PMCID: PMC7843454 DOI: 10.1016/j.isci.2021.102046] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 12/12/2020] [Accepted: 01/06/2021] [Indexed: 12/14/2022] Open
Abstract
Fibrosis is the pathophysiological hallmark of progressive chronic kidney disease (CKD). The kidney is a highly metabolically active organ, and it has been suggested that disruption in its metabolism leads to renal fibrosis. We developed a longitudinal mouse model of acute kidney injury leading to CKD and an in vitro model of epithelial to mesenchymal transition to study changes in metabolism, inflammation, and fibrosis. Using transcriptomics, metabolic modeling, and serum metabolomics, we observed sustained fatty acid metabolic dysfunction in the mouse model from early to late stages of CKD. Increased fatty acid biosynthesis and downregulation of catabolic pathways for triglycerides and diacylglycerides were associated with a marked increase in these lipids in the serum. We therefore suggest that the kidney may be the source of the abnormal lipid profile seen in patients with CKD, which may provide insights into the association between CKD and cardiovascular disease. Following AKI, markers of fibrosis and inflammation go up simultaneously AKI is associated with reduced fatty acid oxidation and oxidative phosphorylation Changes in metabolism persist as chronic kidney disease develops Changes in metabolism are associated with increased serum levels of triglycerides
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Affiliation(s)
- Azadeh Harzandi
- Renal Sciences, Department of Inflammation Biology, School of Immunology & Microbial Sciences, Faculty of Life Sciences and Medicine, King's College London, SE5 9NU London, UK
| | - Sunjae Lee
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea, 61005
- Centre for Host–Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, SE1 9RT London, UK
| | - Gholamreza Bidkhori
- Centre for Host–Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, SE1 9RT London, UK
| | - Sujit Saha
- Renal Sciences, Department of Inflammation Biology, School of Immunology & Microbial Sciences, Faculty of Life Sciences and Medicine, King's College London, SE5 9NU London, UK
| | - Bruce M. Hendry
- Renal Sciences, Department of Inflammation Biology, School of Immunology & Microbial Sciences, Faculty of Life Sciences and Medicine, King's College London, SE5 9NU London, UK
| | - Adil Mardinoglu
- Centre for Host–Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, SE1 9RT London, UK
- Science for Life Laboratory (SciLifeLab), KTH - Royal Institute of Technology, Tomtebodavägen 23, Solna, Stockholm 171 65, Sweden
- Corresponding author
| | - Saeed Shoaie
- Centre for Host–Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, SE1 9RT London, UK
- Science for Life Laboratory (SciLifeLab), KTH - Royal Institute of Technology, Tomtebodavägen 23, Solna, Stockholm 171 65, Sweden
- Corresponding author
| | - Claire C. Sharpe
- Renal Sciences, Department of Inflammation Biology, School of Immunology & Microbial Sciences, Faculty of Life Sciences and Medicine, King's College London, SE5 9NU London, UK
- Corresponding author
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30
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Relationship between serum lipid concentrations and impaired renal function in patients with chronic kidney disease: the Fukuoka Kidney Disease Registry Study. Clin Exp Nephrol 2021; 25:385-393. [PMID: 33398604 DOI: 10.1007/s10157-020-02000-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 11/20/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Patients with chronic kidney disease (CKD) have a higher risk of atherosclerotic cardiovascular disease (ASCVD). Dyslipidemia has been established as a risk factor for ASCVD. In the present study, we aimed to determine the prevalence of dyslipidemia at each stage of CKD. METHODS We conducted a cross-sectional study among 4476 patients registered in the Fukuoka Kidney Disease Registry Study, a Japanese prospective cohort study in patients with non-dialysis-dependent CKD. Outcomes were the prevalence of hyper-low-density lipoprotein (LDL) cholesterolemia, hyper-non-high-density lipoprotein (non-HDL) cholesterolemia, hypertriglyceridemia, and hypo-high-density lipoprotein (hypo-HDL) cholesterolemia at each stage of CKD. We analyzed the relationships between CKD stage and the prevalence of dyslipidemia using logistic regression models. RESULTS Patients in the advanced stages of CKD were more likely to have hypertriglyceridemia [OR 2.16 (95% CI 1.03-4.56), OR 2.24 (95% CI 1.04-4.84), OR 2.62 (95% CI 1.19-5.78), and OR 2.47 (95% CI 1.04-5.88) for CKD stages G3a, G3b, G4, and G5, respectively] and hypo-HDL-cholesterolemia [OR 2.66 (95% CI 1.21-5.82), OR 3.10 (95% CI 1.38-6.95), OR 2.86 (95% CI 1.25-6.53), and OR 3.30 (95% CI 1.35-8.10) for CKD stages G3a, G3b, G4, and G5, respectively] as compared with patients in CKD stage G1. The prevalence of hyper-LDL-cholesterolemia and hyper-non-HDL-cholesterolemia was not related to CKD stage. CONCLUSION Patients with advanced CKD stages are more likely to have hypertriglyceridemia and hypo-HDL-cholesterolemia than those in early stages. This type of lipid profile may represent a risk factor for ASCVD in patients with CKD.
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31
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Zhou W, Yu Y, Zhu L, Fang W, Tao Y, Li M, Huang X, Wang T, Bao H, Cheng X. Positive Association between Triglyceride-Rich Lipoprotein Cholesterol and Diabetes Mellitus in Hypertensive Patients. Int J Endocrinol 2021; 2021:7722269. [PMID: 34899903 PMCID: PMC8654545 DOI: 10.1155/2021/7722269] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 09/02/2021] [Accepted: 11/16/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The association between triglyceride-rich lipoprotein cholesterol (TRL-C) and diabetes mellitus (DM) remains unclear because of limited research and data. The aim of this study was to explore the independent association between TRL-C and DM in hypertensive patients and to examine whether a healthy lifestyle would have an impact on this relationship. METHODS In this study, data from 13,721 hypertensive patients who were not treated with lipid-lowering drugs were analyzed. TRL-C was calculated from total cholesterol (TC) minus [LDL cholesterol + HDL cholesterol]. DM was defined as fasting plasma glucose of ≥7.0 mmol/L and/or self-reported history of hypoglycemic drug use. RESULTS After adjusting for potential confounding factors, the TRL-C was significantly positively associated with elevated DM (odds ratio (OR): 1.73 and 95% confidence interval (CI): 1.54-1.94). In subgroup analysis, a healthy lifestyle (HL) failed to modify the positive association between TRL-C and DM (HL: OR 1.93, 95%CI 1.58-2.36; non-HL: OR 1.72, 95%CI 1.50-1.98; P for interaction = 0.38). CONCLUSION The results showed a positive association between TRL-C and DM in hypertensive patients. A healthy lifestyle failed to diminish the relationship between TRL-C and DM. The novel findings indicate that TRL-C might be a reliable marker of DM and may provide a new strategy for the prevention and treatment of DM.
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Affiliation(s)
- Wei Zhou
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yu Yu
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- Cardiac Arrhythmia Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lingjuan Zhu
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | | | - Yu Tao
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Minghui Li
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Xiao Huang
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Tao Wang
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Huihui Bao
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Xiaoshu Cheng
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
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32
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Peng J, Liu MM, Jin JL, Cao YX, Guo YL, Wu NQ, Zhu CG, Dong Q, Sun J, Xu RX, Li JJ. Association of circulating PCSK9 concentration with cardiovascular metabolic markers and outcomes in stable coronary artery disease patients with or without diabetes: a prospective, observational cohort study. Cardiovasc Diabetol 2020; 19:167. [PMID: 33023603 PMCID: PMC7541318 DOI: 10.1186/s12933-020-01142-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 09/27/2020] [Indexed: 02/07/2023] Open
Abstract
Background Whether plasma proprotein convertase subtilisin/kexin type 9 (PCSK9) levels is a predictor for cardiovascular outcomes has currently been controversial. No data is currently available regarding the relation of PCSK9 to cardiovascular metabolic markers (CVMMs) and major adverse cardiovascular events (MACEs) in stable coronary artery disease (CAD) patients with diabetes or without diabetes. Methods A total 1225 untreated patients with stable CAD were consecutively enrolled and their baseline plasma PCSK9 levels were determined by ELISA. Patients were divided into high and low PCSK9 groups according to PCSK9 median. All patients followed up for the occurrence of MACEs and received standard therapy after admission. The associations of PCSK9 with CVMMs and MACEs were evaluated. Results PCSK9 levels were positively correlated with multiple CVMMs including total cholesterol, low-density lipoprotein cholesterol, non-high-density lipoprotein cholesterol and hemoglobin A1c at baseline (all p < 0.05). During a median follow-up of 3.3 years, 103 (8.4%) events occurred. PCSK9 levels were higher in patients with events compared to those without (p < 0.05). The Kaplan–Meier analysis displayed that patients in high PCSK9 group had lower event-free survival than that in low group (p < 0.05). Multivariable Cox regression analysis revealed that PCSK9 levels were independently associated with MACEs in diabetic patients (adjusted hazard ratio [HR]: 1.361, 95% confidence interval [CI]: 1.037–1.785, p < 0.05). When added the combination of PCSK9 levels and diabetic status to stratifying factors, patients in high PCSK9 group appeared to have extremely high risk of subsequent MACEs with diabetes (adjusted HR: 5.233, 95% CI: 2.546–10.757, p < 0.01). Conclusions The present study firstly showed that elevated PCSK9 levels were related to multiple CVMMs and MACEs in stable CAD with diabetes, suggesting that plasma PCSK9 measurement could help to identify diabetic patients with CAD at higher cardiovascular risk. More studies may be needed to confirm our findings.
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Affiliation(s)
- Jia Peng
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Ming-Ming Liu
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Jing Sun
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China.
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China.
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Raikou VD, Kyriaki D, Gavriil S. Triglycerides to High-Density Lipoprotein Cholesterol Ratio Predicts Chronic Renal Disease in Patients without Diabetes Mellitus (STELLA Study). J Cardiovasc Dev Dis 2020; 7:jcdd7030028. [PMID: 32752179 PMCID: PMC7570173 DOI: 10.3390/jcdd7030028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 07/11/2020] [Accepted: 07/27/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The triglycerides to high-density lipoprotein cholesterol (TG/HDL-C) ratio has been included in the potential indices for atherosclerosis in chronic kidney disease (CKD). In this study, we addressed the role of the TG/HDL-C ratio on CKD prediction defined by both classified estimated glomerular filtration rate (eGFR) and classified urinary albumin-to-creatinine ratio (UACR) in non-diabetic participants. METHODS One hundred and eighty-three subjects with a mean age 67.3 ± 15.6 years old were included. Our participants were classified in both eGFR and UACR categories according to the Kidney Disease Improving Global Outcomes 2012 criteria. Estimated pulse wave velocity (ePWV) was calculated using an equation from age and mean blood pressure. The TG/HDL-C ratio was calculated. X2 tests and adjusted models were applied using confounders. RESULTS The TG/HDL-C ratio was inversely associated with eGFR and positively with both UACR and ePWV. We divided our patients in two groups according to the found ROC curve of the TG/HDL-C ratio cut-off point, either with an eGFR of less or more than 60 mL/min/1.73 m2. X2 tests showed significant association between the high TG/HDL-C ratio and classified eGFR, and classified UACR and hypertension (x2 = 24.5, p = 0.001, x2 = 12.5, p = 0.002 and x2 = 12.6, p = 0.001, respectively). The adjusted model showed the high TG/HDL-C ratio to be an independent predictor for both a low eGFR and UACR (OR = 1.5, 1.2-1.9 and OR = 1.22, 1.02-1.47, respectively) in combination with old age and hypertension. CONCLUSION The TG/HDL-C ratio was revealed to be a potential predictor for both a low eGFR and micro/macroalbuminuria in non-diabetic patients. The arterial stiffening was included in the main underlying pathophysiological mechanisms.
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Affiliation(s)
- Vaia D. Raikou
- . Department of Nephrology, Doctors’ Hospital, 26 Kefallinias, Athens 11257, Greece
- Correspondence: ; Tel.: +30-21-0821-2000; Fax: +30-21-0821-8228
| | - Despina Kyriaki
- Department of Nuclear Medicine, General Hospital “LAΪKO”, Athens 11527, Greece;
| | - Sotiris Gavriil
- Department of of Bariatric Surgery, Doctors’ Hospital, 26 Kefallinias, Athens 11257, Greece;
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Affiliation(s)
| | - Subramaniam Pennathur
- Departments of Internal Medicine-Nephrology and .,Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan
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