Early Detection of Unilateral Ureteral Obstruction by Desorption Electrospray Ionization Mass Spectrometry
Authors
Affiliations
Desorption electrospray ionization mass spectrometry (DESI-MS) is an emerging analytical tool for rapid in situ assessment of metabolomic profiles on tissue sections without tissue pretreatment or labeling. We applied DESI-MS to identify candidate metabolic biomarkers associated with kidney injury at the early stage. DESI-MS was performed on sections of kidneys from 80 mice over a time course following unilateral ureteral obstruction (UUO) and compared to sham controls. A predictive model of renal damage was constructed using the LASSO (least absolute shrinkage and selection operator) method. Levels of lipid and small metabolites were significantly altered and glycerophospholipids comprised a significant fraction of altered species. These changes correlate with altered expression of lipid metabolic genes, with most genes showing decreased expression. However, rapid upregulation of PG(22:6/22:6) level appeared to be a hitherto unknown feature of the metabolic shift observed in UUO. Using LASSO and SAM (significance analysis of microarrays), we identified a set of well-measured metabolites that accurately predicted UUO-induced renal damage that was detectable by 12 h after UUO, prior to apparent histological changes. Thus, DESI-MS could serve as a useful adjunct to histology in identifying renal damage and demonstrates early and broad changes in membrane associated lipids.
Qian S, Pan Y, Li Q, Zhang L, Duan L, Xu Y BMC Urol. 2024; 24(1):169.
PMID: 39118072 PMC: 11308678. DOI: 10.1186/s12894-024-01556-y.
Lipidomic study of kidney in a mouse model with urine flow obstruction.
Gowda D, Masum M, Gowda S, Shekhar C, Rubel M, Kira S Sci Rep. 2024; 14(1):18042.
PMID: 39098953 PMC: 11298537. DOI: 10.1038/s41598-024-68270-5.
Ortega-Lozano A, Jimenez-Uribe A, Aranda-Rivera A, Gomez-Caudillo L, Rios-Castro E, Tapia E Metabolites. 2022; 12(10).
PMID: 36295838 PMC: 9607257. DOI: 10.3390/metabo12100936.
Microbial Metabolites in Colorectal Cancer: Basic and Clinical Implications.
Peng Y, Nie Y, Yu J, Wong C Metabolites. 2021; 11(3).
PMID: 33802045 PMC: 8001357. DOI: 10.3390/metabo11030159.
Multimodal Imaging Mass Spectrometry: Next Generation Molecular Mapping in Biology and Medicine.
Neumann E, Djambazova K, Caprioli R, Spraggins J J Am Soc Mass Spectrom. 2020; 31(12):2401-2415.
PMID: 32886506 PMC: 9278956. DOI: 10.1021/jasms.0c00232.