ReviewSeminars in nephrology2018
Lipidomics and Biomarker Discovery in Kidney Disease.
Review in Seminars in nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 52 citations in OpenAlex.
- Plasma Metabolites Associated with CKD Stage in Autosomal Dominant Tubulointerstitial Kidney Disease.Kidney360 · 2026Article
- DHA-Triacylglycerol Accumulation in Tacrolimus-Induced Nephrotoxicity Identified by Lipidomic Profiling.International journal of molecular sciences · 2025Article
- Personalized Nutrition in Chronic Kidney Disease.Biomedicines · 2025Review
- Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease.Diabetic medicine : a journal of the British Diabetic Association · 2025Review
- Review
- Urinary lipid metabolites and progression of kidney disease in individuals with type 2 diabetes.Frontiers in endocrinology · 2025Article
- Lipidomic study of kidney in a mouse model with urine flow obstruction.Scientific reports · 2024Article
- Characteristics of glucolipid metabolism and complications in novel cluster-based diabetes subgroups: a retrospective study.Lipids in health and disease · 2023Article
- Oleic Acid Promotes the Biosynthesis of 10-Hydroxy-2-decenoic Acid via Species-Selective Remodeling of TAGs inInternational journal of molecular sciences · 2023Article
- Article
- Lipidomic profiling in the Strong Heart Study identified American Indians at risk of chronic kidney disease.Kidney international · 2022Article
- Serum lipidomic determinants of human diabetic neuropathy in type 2 diabetes.Annals of clinical and translational neurology · 2022Article
- Metabolomics of Type 1 and Type 2 Diabetes: Insights into Risk Prediction and Mechanisms.Current diabetes reports · 2022Review
- The foundations and development of lipidomics.Journal of lipid research · 2022Review
- Lipidomic approaches to dissect dysregulated lipid metabolism in kidney disease.Nature reviews. Nephrology · 2022Review
- Association Between Increased Lipid Profiles and Risk of Diabetic Retinopathy in a Population-Based Case-Control Study.Journal of inflammation research · 2022Article
- Perspectives in systems nephrology.Cell and tissue research · 2021Review
- Lipidomic analysis reveals disturbances in glycerophospholipid and sphingolipid metabolic pathways in benzene-exposed mice.Toxicology research · 2021Article
- Renin-angiotensin system inhibition reverses the altered triacylglycerol metabolic network in diabetic kidney disease.Metabolomics : Official journal of the Metabolomic Society · 2021Article
- The Dysregulation of Eicosanoids and Bile Acids Correlates with Impaired Kidney Function and Renal Fibrosis in Chronic Renal Failure.Metabolites · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Technological advances in mass spectrometry-based lipidomic platforms have provided the opportunity for comprehensive profiling of lipids in biological samples and shown alterations in the lipidome that occur in metabolic disorders. A lipidomic approach serves as a powerful tool for biomarker discovery and gaining insight to molecular mechanisms of disease, especially when integrated with other -omics platforms (ie, transcriptomics, proteomics, and metabolomics) in the context of systems biology. In this review, we describe the workflow commonly applied to the conduct of lipidomic studies including important aspects of study design, sample preparation, biomarker identification and quantification, and data processing and analysis, as well as crucial considerations in clinical applications. We also review some recent studies of the application of lipidomic platforms that highlight the potential of lipid biomarkers and add to our understanding of the molecular basis of kidney disease.
Indexed as
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What OpenQuestion holds
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.