ArticleMetabolomics : Official journal of the Metabolomic Society2020
DESI-MSI and METASPACE indicates lipid abnormalities and altered mitochondrial membrane components in diabetic renal proximal tubules.
Article in Metabolomics : Official journal of the Metabolomic Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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29 citing papers in PubMed, 56 citations in OpenAlex.
- Spatial metabolomics: A new tool for unravelling the metabolic disorders and heterogeneity in diabetic kidney disease (Review).International journal of molecular medicine · 2026Review
- Complement 5a receptor 2 attenuates diabetic kidney disease by promoting mitochondria-associated endoplasmic reticulum membrane formation mediated by PSS-MFN2 interaction.Cell discovery · 2026Article
- Spatial metabolomics and multiomics integration for breakthroughs in precision medicine for kidney disease.Nature reviews. Nephrology · 2026Review
- HT SpaceM enables high-throughput mapping of metabolic diversity at the single-cell level.Cell reports methods · 2026Article
- Lipid metabolic plasticity in glioblastoma: mechanisms, tumor microenvironment remodeling, and therapeutic opportunities.Frontiers in oncology · 2026Review
- Pathogenesis and Therapeutic Perspectives of Tubular Injury in Diabetic Kidney Disease: An Update.Biomedicines · 2025Review
- From morphology to single-cell molecules: high-resolution 3D histology in biomedicine.Molecular cancer · 2025Review
- Application of lipidomics in the study of traditional Chinese medicine.Journal of pharmaceutical analysis · 2025Review
- Sample preparation for fatty acid analysis in biological samples with mass spectrometry-based strategies.Analytical and bioanalytical chemistry · 2024Review
- Tubular dysfunction impairs renal excretion of pseudouridine in diabetic kidney disease.American journal of physiology. Renal physiology · 2024Article
- Lipid metabolism disorder in diabetic kidney disease.Frontiers in endocrinology · 2024Review
- Phosphatidylinositol metabolism of the renal proximal tubule S3 segment is disturbed in response to diabetes.Scientific reports · 2023Article
- SGLT2 inhibitors mitigate kidney tubular metabolic and mTORC1 perturbations in youth-onset type 2 diabetes.The Journal of clinical investigation · 2023Article
- Molecular pathways that drive diabetic kidney disease.The Journal of clinical investigation · 2023Review
- The Mitochondrion: A Promising Target for Kidney Disease.Pharmaceutics · 2023Review
- Determination of short-chain fatty acids as putative biomarkers of cancer diseases by modern analytical strategies and tools: a review.Frontiers in oncology · 2023Review
- Modular networks and genomic variation during progression from stable angina pectoris through ischemic cardiomyopathy to chronic heart failure.Molecular medicine (Cambridge, Mass.) · 2022Article
- Azapodophyllotoxin Causes Lymphoma and Kidney Cancer Regression by Disrupting Tubulin and Monoglycerols.ACS medicinal chemistry letters · 2022Article
- Uncovering Molecular Heterogeneity in the Kidney With Spatially Targeted Mass Spectrometry.Frontiers in physiology · 2022Review
- Differential lipidomics of HK-2 cells and exosomes under high glucose stimulation.International journal of medical sciences · 2022Article
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9 authors at 5 institutions in 2 countries.
Funding
Abstract
introductionDiabetic kidney disease (DKD) is the most prevalent complication in diabetic patients, which contributes to high morbidity and mortality. Urine and plasma metabolomics studies have been demonstrated to provide valuable insights for DKD. However, limited information on spatial distributions of metabolites in kidney tissues have been reported.
objectivesIn this work, we employed an ambient desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) coupled to a novel bioinformatics platform (METASPACE) to characterize the metabolome in a mouse model of DKD.
methodsDESI-MSI was performed for spatial untargeted metabolomics analysis in kidneys of mouse models (F1 C57BL/6J-Ins2Akita male mice at 17 weeks of age) of type 1 diabetes (T1D, n = 5) and heathy controls (n = 6).
resultsMultivariate analyses (i.e., PCA and PLS-DA (a 2000 permutation test: P < 0.001)) showed clearly separated clusters for the two groups of mice on the basis of 878 measured m/z's in kidney cortical tissues. Specifically, mice with T1D had increased relative abundances of pseudouridine, accumulation of free polyunsaturated fatty acids (PUFAs), and decreased relative abundances of cardiolipins in cortical proximal tubules when compared with healthy controls.
conclusionResults from the current study support potential key roles of pseudouridine and cardiolipins for maintaining normal RNA structure and normal mitochondrial function, respectively, in cortical proximal tubules with DKD. DESI-MSI technology coupled with METASPACE could serve as powerful new tools to provide insight on fundamental pathways in DKD.
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