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Yuan Y, Hu X, Zhang S, Wang W, Yu B, Zhou Y, Ou Y, Dong H. Remnant cholesterol, preinflammatory state and chronic kidney disease: association and mediation analyses. Ren Fail 2024; 46:2361094. [PMID: 38856016 PMCID: PMC11168229 DOI: 10.1080/0886022x.2024.2361094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 05/23/2024] [Indexed: 06/11/2024] Open
Abstract
Blood lipid management is a key approach in the prevention of chronic kidney disease (CKD). Remnant cholesterol (RC) plays an important role in the development of multiple diseases via chronic inflammation. The aim of our study was to determine the relationship between RC and CKD and explore the role of inflammation in this relationship. The 7696 subjects from the Chinese Health and Nutrition Survey were divided into four subgroups according to the quartile of RC. The estimated glomerular filtration rate was calculated using the CKD Epidemiology Collaboration equation. Fasting RC was calculated as total cholesterol minus low-density lipoprotein cholesterol and high-density lipoprotein cholesterol. Logistic regression analysis was employed to evaluate the relationships between RC and CKD. Mediation analysis was undertaken to identify potential mediators of high-sensitivity C-reactive protein (hs-CRP) and white blood cells (WBCs). Of all participants, the mean age was 51 years, and the male accounted for 47.8%. The multivariable-adjusted odds ratios (95% CIs) for the highest versus lowest quartile of remnant cholesterol were 1.40 (1.10-1.78, p for trend = 0.006) for CKD. RC and preinflammatory markers have combined effect on CKD. The preinflammatory state, presented by increased hs-CRP or WBCs, partially mediated the association between RC and CKD with proportion of 10.14% (p = 0.002) and 11.65% (p = 0.012), respectively. In conclusion, this study suggested a positive relationship between RC and CKD, which was partially mediated by preinflammatory state. These findings highlight the importance of RC and inflammation in renal dysfunction.IMPACT STATEMENTWhat is already known on this subject?: Dyslipidemia plays an important role in the development of chronic kidney disease (CKD). Remnant cholesterol (RC), as a triglyceride-rich particle, can contribute to target organ damage, primarily through inflammatory pathways. However, the relationship between RC and CKD in the community-dwelling population, particularly the role of inflammation, is not yet fully understood.What do the results of this study add?: This study shows that RC was significantly associated with CKD. RC and preinflammatory status exhibit a combined effect on CKD. Preinflammatory state, presented by increased high-sensitivity C-reactive protein or white blood cells, partially mediated the association between RC and CKD.What are the implications of these findings for clinical practice and/or further research?: The study provides us with a better understanding of the role of RC and inflammation in kidney dysfunction and raises the awareness of RC in the management of CKD.
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Affiliation(s)
- Yougen Yuan
- Department of Geriatric Medicine, Nanchang First Hospital, Jiangxi, Nanchang, China
| | - Xiangming Hu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong, Guangzhou, China
| | - Shanghong Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong, Guangzhou, China
| | - Weimian Wang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong, Guangzhou, China
| | - Bingyan Yu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong, Guangzhou, China
| | - Yingling Zhou
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong, Guangzhou, China
| | - Yanqiu Ou
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong, Guangzhou, China
| | - Haojian Dong
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong, Guangzhou, China
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Wang X, Liu X, Zhao J, Chen M, Wang L. Construction of a Nomogram-Based Prediction Model for the Risk of Diabetic Kidney Disease in T2DM. Diabetes Metab Syndr Obes 2024; 17:215-225. [PMID: 38229907 PMCID: PMC10790646 DOI: 10.2147/dmso.s442925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/23/2023] [Indexed: 01/18/2024] Open
Abstract
Introduction To investigate the predictors of diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) patients and establish a nomogram model for predicting the risk of DKD. Methods The clinical data of T2DM patients, admitted to the Endocrinology Department of Chengde Central Hospital from October 2019 to September 2020 and divided into a case group or a control group based on whether they had DKD, were collected. The predictive factors of DKD were screened by univariate and multivariate analysis, and a nomogram prediction model was constructed for the risk of DKD in T2DM. Bootstrapping was used for model validation, receiver operating characteristic (ROC) curve and GiViTI calibration curve were used for evaluating the discrimination and calibration of prediction model, and decision analysis curve (DCA) was used for evaluating the practicality of model. Results Predictors for DKD are diabetic retinopathy (DR), hypertension, history of gout, smoking history, using insulin, elevation of body mass index (BMI), triglyceride (TG), cystatin C (Cys-C), and reduction of 25 (OH) D. The nomogram prediction model based on the above nine predictors had good representativeness (Bootstrap method: precision: 0.866, Kappa: 0.334), differentiation [the area under curve (AUC) value: 0.868], and accuracy (GiViTI-corrected curved bands, P = 0.836); the DAC curve analysis showed that the prediction model, whose threshold probability was in the range of 0.10 to 0.70, had clinical practical value. Conclusion The risk of DKD in T2DM could be predicted accurately by DR, hypertension, history of gout, smoking history, using insulin, elevation of BMI, TG, Cys-C, and reduction of 25 (OH) D.
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Affiliation(s)
- Xian Wang
- Graduate School of Chengde Medical College, Chengde, Hebei, People’s Republic of China
| | - Xiaming Liu
- Graduate School of Chengde Medical College, Chengde, Hebei, People’s Republic of China
| | - Jun Zhao
- Graduate School of Chengde Medical College, Chengde, Hebei, People’s Republic of China
| | - Manyu Chen
- Graduate School of Chengde Medical College, Chengde, Hebei, People’s Republic of China
| | - Lidong Wang
- Department of Endocrinology and Immunology, Chengde Central Hospital Affiliated to Chengde Medical College, Chengde, Hebei, People’s Republic of China
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Ardekani AM, Nava ZH, Zaman BA, Vahdat S, Lame-Jouybari AH, Mivefroshan A. The association between lipid profile, oxidized LDL and the components of metabolic syndrome with serum mineral status and kidney function in individuals with obesity. BMC Res Notes 2023; 16:196. [PMID: 37670399 PMCID: PMC10481520 DOI: 10.1186/s13104-023-06472-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Accepted: 08/23/2023] [Indexed: 09/07/2023] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) is presented with a cluster of cardio-metabolic risk factors with widespread prevalence. In the present case-control study, we aimed to examine the relationship between several minerals and renal function tests with the components of MetS in individuals with obesity. METHODS This study included 127 individuals with obesity of both gender with or without MetS as the case and control, respectively. MetS was characterized based on the Adult Treatment Panel III (ATP III) criteria. Anthropometric variables and blood pressure were recorded. Mineral status including serum magnesium, copper, calcium, phosphorous, and iron were measured using standard colorimetric methods. Also, the serum lipid levels, concentrations of oxidized low-density lipoprotein (Ox-LDL), and renal function tests, including total protein, albumin, urea, creatinine, and uric acid were evaluated using commercial enzyme-linked immunosorbent assay (ELISA) kits. RESULTS According to our results, individuals with obesity and MetS had higher levels of waist circumference (WC) and diastolic blood pressure (P < 0.05) compared to individuals with obesity and without MetS. Moreover, individuals with obesity and MetS had higher levels of serum total cholesterol (TC), triglyceride (TG), insulin, and iron (P < 0.05). In individuals with obesity and MetS, iron and albumin showed a positive relationship with LDL cholesterol and TG concentrations, respectively (P < 0.05 for all of them). Also, there was a positive association between serum magnesium and Ox- LDL in individuals with obesity with MetS. While, in individuals with obesity and without MetS, only a positive association between urea and uric acid with WC was observed (P < 0.05). CONCLUSION Our results suggest that disturbed serum lipids in obesity-metabolic syndrome is associated with homeostatic changes in the level of minerals or proteins that are involved in their metabolism. Although, further studies are needed to better explain and clarify the underlying mechanism of observed relationships.
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Affiliation(s)
- Abnoos Mokhtari Ardekani
- Endocrinology and Metabolism Research Center, Institute of Basic and Clinical Physiology Science, & Physiology Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Zahra Hamidi Nava
- Department of Internal Medicine, Faculty of Medical Science, Mazandaran University of Medical Science, Sari, Iran
| | - Burhan Abdullah Zaman
- Medical Physiology, Basic Sciences Department, College of Pharmacy, University of Duhok, Kurdistan, Iraq
| | - Sahar Vahdat
- Isfahan Kidney Diseases Research Center, School of Medicine, Khorshid Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Azam Mivefroshan
- Department of Internal Medicine, School of Medicine, Urmia University of Medical Sciences, Urmia, Iran.
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Tang M, Yao S, Cao H, Wei X, Zhen Q, Tan Y, Liu F, Wang Y, Peng Y, Fan N. Interrelation between the lipid accumulation product index and diabetic kidney disease in patients with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2023; 14:1224889. [PMID: 37645414 PMCID: PMC10461558 DOI: 10.3389/fendo.2023.1224889] [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: 05/18/2023] [Accepted: 07/31/2023] [Indexed: 08/31/2023] Open
Abstract
Objective The purpose of this study was to determine the relation between the lipid accumulation product index (LAPI) and diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM). Methods Herein, 931 patients were enrolled and their data were collected. Then the interrelation between LAPI and DKD was assessed using multivariate logistic regression analyses (LRAs) and by a restricted cubic spline (RCS). Results In total, 931 participants (352 females and 579 males) aged 55 years on average were included in the study. After adjusting for several confounders, the odds ratio for DKD was increased evidently in the third LAPI tertile compared with that in the first LAPI tertile. In addition, the RCS revealed a positive interrelation between LAPI and DKD. In the subgroup analyses, age, sex, hyperlipidemia, hypertension, and HbA1c did not significantly interact with LAPI. Conclusions LAPI was higher in the DKD group than in the no-DKD group, and LAPI is positively linked with DKD, which may have potential value to diagnose DKD in clinical practice.
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Affiliation(s)
- Min Tang
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangshuang Yao
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Han Cao
- Department of Endocrinology and Metabolism, Shanghai General Hospital of Nanjing Medical University, Shanghai, China
- Department of Endocrinology, Songjiang District Central Hospital, Shanghai, China
| | - Xiaohui Wei
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qin Zhen
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yijiong Tan
- Department of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fang Liu
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufan Wang
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongde Peng
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Endocrinology and Metabolism, Shanghai General Hospital of Nanjing Medical University, Shanghai, China
| | - Nengguang Fan
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Yadegar A, Mohammadi F, Rabizadeh S, Ayati A, Seyedi SA, Nabipoorashrafi SA, Esteghamati A, Nakhjavani M. Correlation between different levels and patterns of dyslipidemia and glomerular filtration rate in patients with type 2 diabetes: A cross-sectional survey of a regional cohort. J Clin Lab Anal 2023; 37:e24954. [PMID: 37537785 PMCID: PMC10492450 DOI: 10.1002/jcla.24954] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 07/18/2023] [Accepted: 07/24/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND Due to the high cardiovascular risk in patients with diabetic nephropathy, more attention should be paid to lipid levels and dyslipidemia in these patients. The current study investigated the association between single and mixed dyslipidemia patterns, estimated glomerular filtration rate (eGFR), and different chronic kidney disease (CKD) stages. METHODS This cross-sectional study evaluated 4059 patients with type 2 diabetes (T2D). TG, TC, LDL-C, and HDL-C were measured. Non-HDL-C and AIP were calculated. We estimated eGFR using the CKD-EPI equation. RESULTS With the progression of the kidney failure stage, mean levels of TG, LDL-C, non-HDL-C, and AIP decreased. HDL-C levels decreased with the advance of the CKD stage in men but did not change significantly in women. The prevalence of single dyslipidemia, including high LDL-C and high non-HDL-C, decreased with the advancing CKD stage. The prevalence of mixed dyslipidemia patterns, including high AIP and high LDL-C, high AIP and high non-HDL-C, showed a significant downward tendency. TG and AIP levels were negatively, and HDL-C levels were positively correlated with eGFR after adjusting for the risk factors. Also, CKD stage 3 was positively related to the risk of high TG and low HDL-C. CONCLUSION This study shows that blood lipids decreased with the progression of renal failure in patients with T2D. However, after adjustment, TG and AIP levels had negative, and HDL-C levels had a positive correlation with eGFR, which could be consistent with the hypothesis that eGFR decreases with increasing TG or AIP levels or decreasing HDL-C levels.
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Affiliation(s)
- Amirhossein Yadegar
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Mohammadi
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Soghra Rabizadeh
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Aryan Ayati
- Research Center for Advanced Technologies in Cardiovascular Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Arsalan Seyedi
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Ali Nabipoorashrafi
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Esteghamati
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Manouchehr Nakhjavani
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
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Iwasaki M, Suzuki H, Umezawa Y, Koshida T, Saito M, Fukuda H, Takahara H, Matsuzaki K, Suzuki Y. Efficacy and safety of pemafibrate in patients with chronic kidney disease: A retrospective study. Medicine (Baltimore) 2023; 102:e32818. [PMID: 36800602 PMCID: PMC9936022 DOI: 10.1097/md.0000000000032818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/19/2023] Open
Abstract
Hypertriglyceridemia and chronic kidney disease (CKD) are known risk factors for cardiovascular disease. However, treatment with statins, which control low-density lipoprotein cholesterol levels, increases the risk of estimated glomerular filtration rate (eGFR) reduction. Although conventional fibrates, such as bezafibrate (Beza-F) and fenofibrate (Feno-F), are the mainstay for hypertriglyceridemia treatment, they may be associated with a risk of increased serum creatinine level and renal dysfunction. Pemafibrate (Pema) is pharmacologically defined as a selective peroxisomal proliferator-activated receptor α modulator which is excreted in bile and not likely to cause renal dysfunction. We evaluated the efficacy and safety of switching from Beza-F or Feno-F to Pema in CKD patients with hypertriglyceridemia. We recruited 47 CKD patients with hypertriglyceridemia who were receiving Beza-F, Feno-F, or eicosapentaenoic acid (EPA) but were switched to Pema from 2018 to 2021. A retrospective analysis of renal function and lipid profiles was performed before and 24 weeks after switching. CKD patients switching from EPA to Pema were used as study control. The effect of Pema on hypertriglyceridemia was equivalent to that of Beza-F or Feno-F. However, after switching to Pema, eGFR showed a marked average improvement of 10.2 mL/min/1.73 m2 (P < .001). Improvement in eGFR and levels of n-acetyl-β-d-glucosaminidase and β-2-microglobulin was observed only in cases of switching from Beza-F or Feno-F but not from EPA. Although Beza-F and Feno-F are useful medications for the treatment of hypertriglyceridemia, these are associated with a high risk of renal dysfunction. We also found that the deterioration in eGFR due to Beza-F or Feno-F is reversible with drug withdrawal and may not increase the risk for long-term renal dysfunction. We suggest that Pema may be an effective and safe treatment for hypertriglyceridemia in CKD patients.
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Affiliation(s)
- Masako Iwasaki
- Department of Nephrology and Hypertension, Juntendo University Urayasu Hospital, Chiba, Japan
| | - Hitoshi Suzuki
- Department of Nephrology and Hypertension, Juntendo University Urayasu Hospital, Chiba, Japan
- Department of Nephrology, Juntendo University Faculty of Medicine, Tokyo, Japan
- * Correspondence: Hitoshi Suzuki, Department of Nephrology, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu-shi, Chiba 279-0021, Japan (e-mail: )
| | - Yukako Umezawa
- Department of Nephrology and Hypertension, Juntendo University Urayasu Hospital, Chiba, Japan
| | - Takeo Koshida
- Department of Nephrology and Hypertension, Juntendo University Urayasu Hospital, Chiba, Japan
| | - Midori Saito
- Department of Nephrology and Hypertension, Juntendo University Urayasu Hospital, Chiba, Japan
| | - Hiromitsu Fukuda
- Department of Nephrology and Hypertension, Juntendo University Urayasu Hospital, Chiba, Japan
| | - Hisatsugu Takahara
- Department of Nephrology and Hypertension, Juntendo University Urayasu Hospital, Chiba, Japan
| | - Keiichi Matsuzaki
- Department of Public Health, Kitasato University School of Medicine, Kanagawa, Japan
| | - Yusuke Suzuki
- Department of Nephrology, Juntendo University Faculty of Medicine, Tokyo, Japan
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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; 11:3224. [PMID: 35683611 PMCID: PMC9181038 DOI: 10.3390/jcm11113224] [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: 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
| | - 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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Zhai Q, Dou J, Wen J, Wang M, Zuo Y, Su X, Zhang Y, Gaisano H, Mu Y, He Y. Association between changes in lipid indexes and early progression of kidney dysfunction in participants with normal estimated glomerular filtration rate: a prospective cohort study. Endocrine 2022; 76:312-323. [PMID: 35239125 DOI: 10.1007/s12020-022-03012-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 01/31/2022] [Indexed: 01/21/2023]
Abstract
PURPOSE To investigate whether non-high-density lipoprotein cholesterol (Non-HDL-C), remnant cholesterol (RC), and the ratios of lipid indexes are more closely associated with early progression of kidney dysfunction than traditional lipid indexes; and to explore the association between changes in serum lipids during follow-up and annual decline rate in estimated glomerular filtration rate (eGFR). METHODS In this prospective cohort study, 3909 participants with normal eGFR and age≥40 years at baseline were followed for 3.3 years. Progression of kidney dysfunction was assessed as annual decline rate in eGFR. Spearman correlation analysis, linear correlation models, and multiple logistic regression were used to assess the associations between lipid indexes at baseline/both baseline and follow-up and the annual decline rate in eGFR. RESULTS Compared with ΔLDL-C (β = 0.412), other lipid indexes such as ΔLDL-C/HDL-C (β = 0.565), ΔTC/HDL-C (β = 0.448), and ΔNon-HDL-C/HDL-C (β = 0.448) were more closely associated with annual decline rate in eGFR. High TG/HDL-C (OR = 1.699(1.177-2.454)) and TC/HDL-C (OR = 1.567(1.095-2.243)) at baseline, as well as high TC/HDL-C (OR = 1.478 (1.003-2.177)) and TG/HDL-C (OR = 1.53(1.044-2.244)) at both baseline and follow-up were associated with the annual decline rate in eGFR <0.5. High Non-HDL-C (OR = 1.633(1.025-2.602)) and LCI (OR = 1.631(1.010-2.416)) at both baseline and follow-up resulted in a 63% increase in risk of annual decline rate in eGFR >1. CONCLUSION High Non-HDL-C, RC and the ratios of lipid indexes were more closely associated with early progression of kidney injury than the increase of traditional lipid indexes. These lipid indexes should be monitored, even in participants with normal traditional serum lipid levels.
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Affiliation(s)
- Qi Zhai
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Jingtao Dou
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
| | - Jing Wen
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Meiping Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Yingting Zuo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Xin Su
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- School of Public Health, Baotou Medical College, Baotou, Inner Mongolia, China
| | - Yibo Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Herbert Gaisano
- Departments of Medicine and Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Yiming Mu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China.
| | - Yan He
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
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Gong L, Wang C, Ning G, Wang W, Chen G, Wan Q, Qin G, Yan L, Wang G, Qin Y, Luo Z, Tang X, Huo Y, Hu R, Ye Z, Shi L, Gao Z, Su Q, Mu Y, Zhao J, Chen L, Zeng T, Yu X, Li Q, Shen F, Zhang Y, Wang Y, Deng H, Liu C, Wu S, Yang T, Bi Y, Lu J, Li M, Xu Y, Xu M, Wang T, Zhao Z, Hou X, Chen L. High concentrations of triglycerides are associated with diabetic kidney disease in new-onset type 2 diabetes in China: Findings from the China Cardiometabolic Disease and Cancer Cohort (4C) Study. Diabetes Obes Metab 2021; 23:2551-2560. [PMID: 34322974 PMCID: PMC9291490 DOI: 10.1111/dom.14502] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 07/02/2021] [Accepted: 07/25/2021] [Indexed: 11/30/2022]
Abstract
AIMS The aims of this study were to evaluate the associations of metabolic abnormalities with incident diabetic kidney disease (DKD) and to explore whether dyslipidaemia, particularly high fasting triglyceride (TG), was associated with the development of DKD. METHODS In total, 11 142 patients with new-onset type 2 diabetes with baseline estimated glomerular filtration rates (eGFR) ≥60 mL/min/1.73 m2 were followed up during 2011-2016. Incident DKD was defined as eGFR <60 mL/min/1.73 m2 at follow-up. Multiple logistic regression analysis was conducted to explore the relationship of metabolic abnormalities at baseline and at follow-up with risks of DKD. High TG was defined by TG ≥1.70 mmol/L. Low high-density lipoprotein cholesterol (HDL-c) was defined by HDL-c <1.0 mmol/L for men or <1.3 mmol/L for women. RESULTS Participants who developed DKD had higher levels of waist circumference and systolic blood pressure, and lower levels of HDL-c at both baseline and follow-up visits. The DKD group also had higher levels of post-load plasma glucose and TG at follow-up. Multivariate logistic regression analysis revealed that both high TG at baseline [odds ratio (OR) = 1.37, p = .012) and high TG at follow-up (OR = 1.71, p < .001) were significantly associated with increased risks of DKD. Patients with high TG levels at both baseline and follow-up had higher risk of DKD compared with constantly normal TG (OR = 1.65, p < .001) after adjustment for covariates. CONCLUSIONS In a large population of patients with new-onset type 2 diabetes, a high TG level was an independent risk factor for the development of DKD. Tight TG control might delay the occurrence of DKD.
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Affiliation(s)
- Lei Gong
- Department of EndocrinologyQilu Hospital of Shandong UniversityJinanChina
- Institute of Endocrine and Metabolic Diseases of Shandong UniversityJinanChina
- Key Laboratory of Endocrine and Metabolic DiseasesShandong Province Medicine & HealthJinanChina
- Jinan Clinical Research Center for Endocrine and Metabolic DiseasesJinanChina
| | - Chuan Wang
- Department of EndocrinologyQilu Hospital of Shandong UniversityJinanChina
- Institute of Endocrine and Metabolic Diseases of Shandong UniversityJinanChina
- Key Laboratory of Endocrine and Metabolic DiseasesShandong Province Medicine & HealthJinanChina
- Jinan Clinical Research Center for Endocrine and Metabolic DiseasesJinanChina
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Gang Chen
- Fujian Provincial HospitalFujian Medical UniversityFuzhouChina
| | - Qin Wan
- The Affiliated Hospital of Luzhou Medical CollegeLuzhouChina
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Li Yan
- Sun Yat‐sen Memorial HospitalSun Yat‐sen UniversityGuangzhouChina
| | - Guixia Wang
- The First Hospital of Jilin UniversityChangchunChina
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Xulei Tang
- The First Hospital of Lanzhou UniversityLanzhouChina
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang UniversityNanchangChina
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and PreventionHangzhouChina
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and PreventionHangzhouChina
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical CollegeGuiyangChina
| | | | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of MedicineShanghaiChina
| | - Yiming Mu
- Chinese People's Liberation Army General HospitalBeijingChina
| | - Jiajun Zhao
- Shandong Provincial Hospital Affiliated to Shandong UniversityJinanChina
| | - Lulu Chen
- Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Tianshu Zeng
- Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading DistrictShanghaiChina
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical UniversityHefeiChina
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western MedicineNanjingChina
| | - Shengli Wu
- Karamay Municipal People's HospitalXinjiangChina
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xinguo Hou
- Department of EndocrinologyQilu Hospital of Shandong UniversityJinanChina
- Institute of Endocrine and Metabolic Diseases of Shandong UniversityJinanChina
- Key Laboratory of Endocrine and Metabolic DiseasesShandong Province Medicine & HealthJinanChina
- Jinan Clinical Research Center for Endocrine and Metabolic DiseasesJinanChina
| | - Li Chen
- Department of EndocrinologyQilu Hospital of Shandong UniversityJinanChina
- Institute of Endocrine and Metabolic Diseases of Shandong UniversityJinanChina
- Key Laboratory of Endocrine and Metabolic DiseasesShandong Province Medicine & HealthJinanChina
- Jinan Clinical Research Center for Endocrine and Metabolic DiseasesJinanChina
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10
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Sascău R, Clement A, Radu R, Prisacariu C, Stătescu C. Triglyceride-Rich Lipoproteins and Their Remnants as Silent Promoters of Atherosclerotic Cardiovascular Disease and Other Metabolic Disorders: A Review. Nutrients 2021; 13:1774. [PMID: 34067469 PMCID: PMC8224751 DOI: 10.3390/nu13061774] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/18/2021] [Accepted: 05/20/2021] [Indexed: 12/13/2022] Open
Abstract
While targeting elevated serum levels of low-density lipoprotein cholesterol has been the mainstay of atherosclerosis prevention and treatment for decades, the evidence regarding the atherogenic role of hypertriglyceridemia is still controversial. Various epidemiological population-based studies on statin-treated subjects nominated triglycerides, triglyceride-rich lipoproteins (namely, chylomicrons and very-low-density lipoprotein particles), and their remnants as major determinants of the substantial residual cardiovascular risk. With the triglyceride-glucose index and triglyceride to high-density lipoprotein ratio emerging as surrogate indicators of peripheral artery disease and atherosclerotic cerebrovascular disease, one can conclude that further research addressing the intricate relationship between triglycerides and atherosclerosis is warranted. Therefore, this review aims to provide insight into the current clinical and epidemiological state of knowledge on the relationship between triglycerides and atherosclerotic cardiovascular disease. It also intends to highlight the connection between triglycerides and other metabolic disorders, including diabetes mellitus, and the potential benefits of triglyceride-lowering agents on cardiovascular outcomes and all-cause mortality.
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Affiliation(s)
- Radu Sascău
- Internal Medicine Department, ”Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (R.S.); (R.R.); (C.P.); (C.S.)
- Cardiology Department, Institute of Cardiovascular Diseases Prof. Dr. George I.M. Georgescu, 700503 Iași, Romania
| | - Alexandra Clement
- Cardiology Department, Institute of Cardiovascular Diseases Prof. Dr. George I.M. Georgescu, 700503 Iași, Romania
| | - Rodica Radu
- Internal Medicine Department, ”Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (R.S.); (R.R.); (C.P.); (C.S.)
- Cardiology Department, Institute of Cardiovascular Diseases Prof. Dr. George I.M. Georgescu, 700503 Iași, Romania
| | - Cristina Prisacariu
- Internal Medicine Department, ”Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (R.S.); (R.R.); (C.P.); (C.S.)
- Cardiology Department, Institute of Cardiovascular Diseases Prof. Dr. George I.M. Georgescu, 700503 Iași, Romania
| | - Cristian Stătescu
- Internal Medicine Department, ”Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (R.S.); (R.R.); (C.P.); (C.S.)
- Cardiology Department, Institute of Cardiovascular Diseases Prof. Dr. George I.M. Georgescu, 700503 Iași, Romania
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