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Tu QM, Jin HM, Yang XH. Lipid abnormality in diabetic kidney disease and potential treatment advancements. Front Endocrinol (Lausanne) 2025; 16:1503711. [PMID: 40171201 PMCID: PMC11958226 DOI: 10.3389/fendo.2025.1503711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2024] [Accepted: 03/03/2025] [Indexed: 04/03/2025] Open
Abstract
Numerous studies have shown that dyslipidemia increases the risk of atherosclerotic cardiovascular disease (ASCVD) and significantly impacts the occurrence and progression of diabetic kidney disease (DKD). Early interventions for lipid metabolism disorders in DKD may improve renal function. This article reviews the clinical characteristics of dyslipidemia, mechanisms of lipid-induced renal injury, and advances in lipid-lowering therapy in DKD. We searched PubMed, Web of Science, and EMBASE to identify relevant articles, using keywords such as "diabetic kidney disease", "diabetic nephropathy", "diabetes", "dyslipidemia", "kidney", "cardiovascular disease", and "lipid therapy". High triglyceride (TG) and low high-density lipoprotein (HDL) are associated with increased risks of albuminuria and estimated glomerular filtration rate (eGFR) decline. Abnormal lipid metabolism may damage glomerular podocytes and renal tubular epithelial cells via ectopic lipid deposition, eventually impairing glomerular filtration function and increasing urinary albumin excretion. Lipid-lowering therapies can ameliorate lipid accumulation, downregulate inflammatory mediator expressions, and alleviate renal fibrosis. Fibrate and statin applications exhibit beneficial effects, reducing albuminuria and slowing eGFR decline in early DKD. However, the long-term effects of statins and fibrates on renal outcomes remain controversial. Pro-protein convertase subtilisin/kexin 9 (PCSK9)-targeted interventions have minimal side effects on the kidneys and seem effective in reducing inflammation and improving renal impairment compared with statins and fibrates. In addition, LDL apheresis (LDL-A) and double filtration plasmapheresis (DFPP) are promising clinical applications in diabetic patients with severe hypercholesterolemia or lipid-lowering drug intolerance.
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Affiliation(s)
- Qian Ming Tu
- Department of General Medicine, Shanghai Putuo District Changzheng Town Community Health Service Center, Shanghai, China
| | - Hui Min Jin
- Department of Internal Medicine, Shanghai Dong Ji Fresenius Hemodialysis Center, Shanghai, China
- Department of Nephrology, the People’s Hospital of Wenshan Prefecture, Yunnan, China
- Division of Nephrology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, China
| | - Xiu Hong Yang
- Department of Nephrology, Huadong Hospital, Fudan University, Shanghai, China
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Matsuoka-Uchiyama N, Uchida HA, Asakawa T, Sakurabu Y, Katayama K, Okamoto S, Onishi Y, Tanaka K, Takeuchi H, Takemoto R, Umebayashi R, Wada J. The association of fasting triglyceride variability with renal dysfunction and proteinuria in medical checkup participants. Clin Exp Nephrol 2025:10.1007/s10157-025-02640-9. [PMID: 40019721 DOI: 10.1007/s10157-025-02640-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Accepted: 02/04/2025] [Indexed: 03/01/2025]
Abstract
BACKGROUND The association between the variability of triglyceride (TG) and chronic kidney disease (CKD) progression remains unclear. We examined whether intraindividual variability in fasting TG was associated with the exacerbation of CKD. METHODS We conducted a retrospective and observational study. 18,339 participants, who went through medical checkups and had checked their estimated glomerular filtration rate (eGFR) and semi-quantitative proteinuria by urine dipstick every year since 2017 for 4 years were registered. Variability in fasting TG was determined using the standard deviation (SD), and maximum minus minimum difference (MMD) between 2017 and 2021. The primary end point for the analysis of eGFR decline was eGFR < 60 mL/min/1.73 m2. The secondary end point for the analysis of proteinuria was the incidence of proteinuria ≥ ( ±) by urine dipstick. RESULTS The renal survival was lower in the higher-SD, and higher-MMD groups than in the lower-SD, and lower-MMD groups, respectively (log-rank test p < 0.001, and < 0.001, respectively). Lower SD and lower MMD were significantly associated with renal survival in the adjusted model (hazard ratio (HR), 1.12; 95% confidence intervals (CI), 1.04-1.21, and HR, 1.13; 95% CI 1.05-1.23, respectively). The non-incidence of proteinuria was lower in the higher-SD, and higher-MMD groups than in the lower-SD, and lower-MMD groups, respectively (log-rank test p < 0.001 and < 0.001, respectively). CONCLUSION Fasting TG variability was associated with CKD progression in participants who went through medical checkups.
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Affiliation(s)
- Natsumi Matsuoka-Uchiyama
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Haruhito A Uchida
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
- Department of Chronic Kidney Disease and Cardiovascular Disease, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-Cho, Okayama, 700-8558, Japan.
| | - Tomohiko Asakawa
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Yoshimasa Sakurabu
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Katsuyoshi Katayama
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Shugo Okamoto
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Yasuhiro Onishi
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Keiko Tanaka
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Hidemi Takeuchi
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Rika Takemoto
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
- Ultrasound Diagnostics Center, Okayama University Hospital, Okayama, Japan
| | - Ryoko Umebayashi
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Jun Wada
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
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Koh SM, Chung SH, Yum YJ, Park SJ, Joo HJ, Kim YH, Kim EJ. Comparison of the effects of triglyceride variability and exposure estimate on clinical prognosis in diabetic patients. Cardiovasc Diabetol 2022; 21:245. [PMID: 36380325 PMCID: PMC9667663 DOI: 10.1186/s12933-022-01681-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 10/29/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Hypertriglyceridemia is an important feature of dyslipidemia in type 1 and type 2 diabetic patients and associated with the development of atherosclerotic cardiovascular disease. Recently, variability of lipid profile has been suggested as a residual risk factor for cardiovascular disease. This study compared the clinical impact of serum triglyceride variability, and their cumulative exposure estimates on cardiovascular prognosis in diabetic patients. METHODS A total of 25,933 diabetic patients who had serum triglyceride levels measured at least 3 times and did not have underlying malignancy, myocardial infarction (MI), and stroke during the initial 3 years (modeling phase) were selected from three tertiary hospitals. They were divided into a high/low group depending on their coefficient of variation (CV) and cumulative exposure estimate (CEE). Incidence of major adverse event (MAE), a composite of all-cause death, MI, and stroke during the following 5 years were compared between groups by multivariable analysis after propensity score matching. RESULTS Although there was a slight difference, both the high CV group and the high CEE group had a higher cardiovascular risk profile including male-dominance, smoking, alcohol, dyslipidemia, and chronic kidney disease compared to the low groups. After the propensity score matching, the high CV group showed higher MAE incidence compared to the low CV group (9.1% vs 7.7%, p = 0.01). In contrast, there was no significant difference of MAE incidence between the high CEE group and the low CEE group (8.6% vs 9.1%, p = 0.44). After the multivariable analysis with further adjustment for potential residual confounding factors, the high CV was suggested as an independent risk predictor for MAE (HR 1.19 [95% CI 1.03-1.37]). CONCLUSION Visit-to-visit variability of triglyceride rather than their cumulative exposure is more strongly related to the incidence of MAE in diabetic patients.
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Affiliation(s)
- Sung Min Koh
- grid.411134.20000 0004 0474 0479Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Se Hwa Chung
- grid.222754.40000 0001 0840 2678Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Yun Jin Yum
- grid.222754.40000 0001 0840 2678Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Se Jun Park
- grid.411134.20000 0004 0474 0479Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Hyung Joon Joo
- grid.411134.20000 0004 0474 0479Division of Cardiology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea ,grid.222754.40000 0001 0840 2678Department of Medical Informatics, Korea University College of Medicine, Seoul, Republic of Korea ,grid.222754.40000 0001 0840 2678College of Medicine, Korea University Research Institute for Medical Bigdata Science, Korea University, Seoul, Republic of Korea
| | - Yong-Hyun Kim
- grid.411134.20000 0004 0474 0479Division of Cardiology, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Eung Ju Kim
- grid.411134.20000 0004 0474 0479Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
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