ArticleMetabolomics : Official journal of the Metabolomic Society2012
Sphingomyelin is associated with kidney disease in type 1 diabetes (The FinnDiane Study).
Article in Metabolomics : Official journal of the Metabolomic Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 81 citations in OpenAlex.
- Urinary biomarkers of diabetic kidney disease.World journal of diabetes · 2026Review
- Therapeutic remodeling of the ceramide backbone prevents kidney injury.Cell metabolism · 2026Article
- Genetic and clinical evidence implicates a potential Parasutterella-sphingomyelin pathway in diabetic nephropathy.Frontiers in microbiology · 2026Article
- Review
- Urinary lipid metabolites and progression of kidney disease in individuals with type 2 diabetes.Frontiers in endocrinology · 2025Article
- Metabolomics for the Identification of Biomarkers in Kidney Diseases.Nanotheranostics · 2025Review
- Urinary sphingolipids in adolescents and young adults with youth-onset diabetes.Pediatric nephrology (Berlin, Germany) · 2024Article
- Plasma Metabolomics of Dietary Intake of Protein-Rich Foods and Kidney Disease Progression in Children.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2024Article
- Causal relationship between 412 gut microbiota, 1,400 blood metabolites, and diabetic nephropathy: a randomized Mendelian study.Frontiers in endocrinology · 2024Article
- Lipidomics Profiling Reveals Serum Phospholipids Associated with Albuminuria in Early Type 2 Diabetic Kidney Disease.ACS omega · 2023Article
- High-Density Lipoprotein Lipidomics and Mortality in CKD.Kidney medicine · 2023Article
- Circulating Sphingolipids in Insulin Resistance, Diabetes and Associated Complications.International journal of molecular sciences · 2023Review
- Nuclear Magnetic Resonance-Based Lipidomics in the Assessment of Cardiometabolic Risk in Type 1 Diabetes: An Exploratory Analysis.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023Article
- High-Density Lipoprotein Lipidomics in Chronic Kidney Disease.Clinical chemistry · 2023Article
- Identification of Serum Metabolites for Predicting Chronic Kidney Disease Progression according to Chronic Kidney Disease Cause.Metabolites · 2022Article
- Lipidomic profiling in the Strong Heart Study identified American Indians at risk of chronic kidney disease.Kidney international · 2022Article
- Sphingolipids in Atherosclerosis: Chimeras in Structure and Function.International journal of molecular sciences · 2022Review
- Impact of Metabolomics Technologies on the Assessment of Peritoneal Membrane Profiles in Peritoneal Dialysis Patients: A Systematic Review.Metabolites · 2022Review
- Multiomics signatures of type 1 diabetes with and without albuminuria.Frontiers in endocrinology · 2022Article
- Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies.Cells · 2021Review
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic kidney disease, diagnosed by urinary albumin excretion rate (AER), is a critical symptom of chronic vascular injury in diabetes, and is associated with dyslipidemia and increased mortality. We investigated serum lipids in 326 subjects with type 1 diabetes: 56% of patients had normal AER, 17% had microalbuminuria (20 ≤ AER < 200 μg/min or 30 ≤ AER < 300 mg/24 h) and 26% had overt kidney disease (macroalbuminuria AER ≥ 200 μg/min or AER ≥ 300 mg/24 h). Lipoprotein subclass lipids and low-molecular-weight metabolites were quantified from native serum, and individual lipid species from the lipid extract of the native sample, using a proton NMR metabonomics platform. Sphingomyelin (odds ratio 2.53, P < 10(-7)), large VLDL cholesterol (odds ratio 2.36, P < 10(-10)), total triglycerides (odds ratio 1.88, P < 10(-6)), omega-9 and saturated fatty acids (odds ratio 1.82, P < 10(-5)), glucose disposal rate (odds ratio 0.44, P < 10(-9)), large HDL cholesterol (odds ratio 0.39, P < 10(-9)) and glomerular filtration rate (odds ratio 0.19, P < 10(-10)) were associated with kidney disease. No associations were found for polyunsaturated fatty acids or phospholipids. Sphingomyelin was a significant regressor of urinary albumin (P < 0.0001) in multivariate analysis with kidney function, glycemic control, body mass, blood pressure, triglycerides and HDL cholesterol. Kidney injury, sphingolipids and excess fatty acids have been linked in animal models-our exploratory approach provides independent support for this relationship in human patients with diabetes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-011-0343-y) contains supplementary material, which is available to authorized users.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.