ArticleDiabetologia2009
Lipid abnormalities predict progression of renal disease in patients with type 1 diabetes.
Article in Diabetologia, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 78 citations in OpenAlex.
- Remnant cholesterol/high-density lipoprotein cholesterol ratio is a new powerful tool for identifying diabetic kidney disease.Journal of diabetes investigation · 2026Article
- Lessons learned from the FinnDiane Study: Epidemiology and metabolic risk factors for diabetic kidney disease in type 1 diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2025Review
- High Remnant Cholesterol is Associated with the Development of Diabetic Kidney Disease in Patients with Type 2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Tadalafil versus pentoxifylline in the management of diabetic kidney disease: a randomized clinical trial.Diabetology & metabolic syndrome · 2024Article
- Triglycerides and Renal Outcomes According to Albuminuria and in Consideration of Other Metabolic Syndrome Components in Diabetic US Veterans.American journal of nephrology · 2023Article
- Comparing Multiple Linear Regression and Machine Learning in Predicting Diabetic Urine Albumin-Creatinine Ratio in a 4-Year Follow-Up Study.Journal of clinical medicine · 2022Article
- Apolipoprotein C-III predicts cardiovascular events and mortality in individuals with type 1 diabetes and albuminuria.Journal of internal medicine · 2022Observational
- A Contemporary Insight of Metabolomics Approach for Type 1 Diabetes: Potential for Novel Diagnostic Targets.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022Review
- Is it time to change the goals of lipid management in type 1 diabetes mellitus? Changes in apolipoprotein levels during the first year of type 1 diabetes mellitus. Prospective InLipoDiab1 study.Archives of medical science : AMS · 2022Article
- Anemia and atrial fibrillation as independent risk factors for new-onset chronic kidney disease: the TAMA-MED Project-CKD and AF.Clinical kidney journal · 2021Article
- Observational
- Article
- Smoking and the risk of diabetic nephropathy in patients with type 1 and type 2 diabetes: a meta-analysis of observational studies.Oncotarget · 2017Article
- Data-driven metabolic subtypes predict future adverse events in individuals with type 1 diabetes.Diabetologia · 2017Article
- The Genetic Landscape of Renal Complications in Type 1 Diabetes.Journal of the American Society of Nephrology : JASN · 2017Article
- Relationship Between Dyslipidemia and Albuminuria in Hypertensive Adults: A Nationwide Population-Based Study.Medicine · 2016Article
- Changing epidemiology of type 2 diabetes mellitus and associated chronic kidney disease.Nature reviews. Nephrology · 2016Review
- Diabetic kidney disease.Nature reviews. Disease primers · 2015Review
- Relationship between dyslipidemia and albuminuria in prediabetic adults: the Korea National Health and Nutrition Examination Survey 2011-2012.Endocrine · 2015Article
- Macrophage-mediated glucolipotoxicity via myeloid-related protein 8/toll-like receptor 4 signaling in diabetic nephropathy.Clinical and experimental nephrology · 2014Review
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aims/hypothesisWe studied the impact of baseline lipid variables on the progression of renal disease in a large nationwide prospective cohort of patients with type 1 diabetes.
methodsA total of 2,304 adult patients with type 1 diabetes and available lipid profiles participating in the Finnish Diabetic Nephropathy Study (FinnDiane) were evaluated. Data on progression of renal disease were verified from medical files and patients were followed for 5.4 +/- 2.0 (mean +/- SD) years.
resultsHigh triacylglycerol, apolipoprotein (Apo) B, ApoA-II and HDL(3)-cholesterol concentrations predicted incident microalbuminuria. Progression to macroalbuminuria was predicted by high triacylglycerol and ApoB. When AER was entered into the model, triacylglycerol was no longer an independent predictor, but when patients with normal AER and microalbuminuria at baseline were pooled, triacylglycerol, HbA(1c), male sex and AER were all independent predictors of renal disease. High total cholesterol, LDL-cholesterol, non-HDL-cholesterol and triacylglycerol as well as low HDL-cholesterol, HDL(2)-cholesterol, ApoA-I and ApoA-II concentrations were predictive of progression to end-stage renal disease. However, when estimated GFR was entered into the model, only total cholesterol remained an independent predictor of progression. CONCLUSIONS/
interpretationLipid abnormalities, particularly high triacylglycerol concentrations, increase the risk of progression of renal disease.
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