ArticleFunction (Oxford, England)2024
Lipidomic Profiling of Kidney Cortical Tubule Segments Identifies Lipotypes with Physiological Implications.
Article in Function (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Spatial Lipidomic Profiling of Kidney Functional Units in SIV-Infected and ART-Treated Rhesus Macaques.ACS measurement science au · 2026Article
- The lipidome of the kidney tubules of ob/ob mice is affected at the infralesional level.Cell death discovery · 2025Article
- Optimizing renal transporter immunodetection: consequences of freeze-thaw during sample preparation.American journal of physiology. Renal physiology · 2024Article
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5 authors.
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Abstract
A detailed knowledge of the lipid composition of components of nephrons is crucial for understanding physiological processes and the development of kidney diseases. However, the lipidomic composition of kidney tubular segments is unknown. We manually isolated the proximal convoluted tubule (PCT), the cortical thick ascending limb of Henle's loop, and the cortical collecting duct from 5 lean and obese mice and subjected the samples to shotgun lipidomics analysis by high-resolution mass spectrometry acquisition. Across all samples, more than 500 lipid species were identified, quantified, and compared. We observed significant compositional differences among the 3 tubular segments, which serve as true signatures. These intrinsic lipidomic features are associated with a distinct proteomic program that regulates highly specific physiological functions. The distinctive lipidomic features of each of the 3 segments are mostly based on the relative composition of neutral lipids, long-chain polyunsaturated fatty acids, sphingolipids, and ether phospholipids. These features support the hypothesis of a lipotype assigned to specific tubular segments. Obesity profoundly impacts the lipotype of PCT. In conclusion, we present a comprehensive lipidomic analysis of 3 cortical segments of mouse kidney tubules. This valuable resource provides unparalleled detail that enhances our understanding of tubular physiology and the potential impact of pathological conditions.
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