ArticleJournal of lipid research2017
Unsupervised analysis of combined lipid and coagulation data reveals coagulopathy subtypes among dialysis patients.
Article in Journal of lipid research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed, 16 citations in OpenAlex.
- The interaction of ceramide 1-phosphate with group IVA cytosolic phospholipase AScience signaling · 2019Article
- Serum lipoprotein(a) and risk of hemorrhagic stroke among incident peritoneal dialysis patients: a large study from a single center in China.Renal failure · 2019Article
- Article
- Upregulation of human glycolipid transfer protein (GLTP) induces necroptosis in colon carcinoma cells.Biochimica et biophysica acta. Molecular and cell biology of lipids · 2019Article
- Lipidomics in translational research and the clinical significance of lipid-based biomarkers.Translational research : the journal of laboratory and clinical medicine · 2017Review
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Hemodialysis (HD) and peritoneal dialysis (PD) are the primary means of managing end stage renal disease (ESRD). However, these treatment modalities are associated with the onset of coagulation abnormalities. Effective management of coagulation risk among these patients requires the identification of surrogate markers that provide an early indication of the coagulation abnormalities. The role of sphingolipids in the manifestation and prediction of coagulation abnormalities among dialysis patients have never been investigated. Herein, we report the first instance of an in depth investigation into the sphingolipid changes among ESRD patients undergoing HD and PD. The results reveal distinct differences in terms of perturbations to specific sphingolipid biosynthetic pathways that are highly dependent on the treatment modality. Our studies also demonstrated strong correlation between specific sphingolipids and coagulation parameters, such as HexCer(d18:1/26:0) and maximal amplitude (MA), SM(d18:1/24:1) and tissue factor pathway inhibitor, and sphingosine 1-phosphate d18:1 and FX (Spearman ρ of 0.93, 0.89, and -0.89, respectively). Furthermore, our study revealed the potential for using HexCer(d18:1/22:0), HexCer(d18:1/24:0), and HexCer(d18:1/26:0) (r
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