Spatial-resolved metabolomics reveals tissue-specific metabolic reprogramming in diabetic nephropathy by using mass spectrometry imaging.

Autor:	Wang Z; Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China.; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.; Key Laboratory of Ethnomedicine of Ministry of Education, School of Pharmacy, Minzu University of China, Beijing 100081, China., Fu W; Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China.; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China., Huo M; Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China.; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China., He B; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China., Liu Y; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China., Tian L; New Drug Safety Evaluation Center, Institute of Materia Medica, Peking Union Medical College, Beijing 100050, China., Li W; New Drug Safety Evaluation Center, Institute of Materia Medica, Peking Union Medical College, Beijing 100050, China., Zhou Z; Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China.; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China., Wang B; School Hospital, Minzu University of China, Beijing 100081, China., Xia J; School Hospital, Minzu University of China, Beijing 100081, China., Chen Y; Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China.; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China., Wei J; New Drug Safety Evaluation Center, Institute of Materia Medica, Peking Union Medical College, Beijing 100050, China., Abliz Z; Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China.; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.; Key Laboratory of Ethnomedicine of Ministry of Education, School of Pharmacy, Minzu University of China, Beijing 100081, China.
Jazyk:	angličtina
Zdroj:	Acta pharmaceutica Sinica. B [Acta Pharm Sin B] 2021 Nov; Vol. 11 (11), pp. 3665-3677. Date of Electronic Publication: 2021 May 20.
DOI:	10.1016/j.apsb.2021.05.013
Abstrakt:	Detailed knowledge on tissue-specific metabolic reprogramming in diabetic nephropathy (DN) is vital for more accurate understanding the molecular pathological signature and developing novel therapeutic strategies. In the present study, a spatial-resolved metabolomics approach based on air flow-assisted desorption electrospray ionization (AFADESI) and matrix-assisted laser desorption ionization (MALDI) integrated mass spectrometry imaging (MSI) was proposed to investigate tissue-specific metabolic alterations in the kidneys of high-fat diet-fed and streptozotocin (STZ)-treated DN rats and the therapeutic effect of astragaloside IV, a potential anti-diabetic drug, against DN. As a result, a wide range of functional metabolites including sugars, amino acids, nucleotides and their derivatives, fatty acids, phospholipids, sphingolipids, glycerides, carnitine and its derivatives, vitamins, peptides, and metal ions associated with DN were identified and their unique distribution patterns in the rat kidney were visualized with high chemical specificity and high spatial resolution. These region-specific metabolic disturbances were ameliorated by repeated oral administration of astragaloside IV (100 mg/kg) for 12 weeks. This study provided more comprehensive and detailed information about the tissue-specific metabolic reprogramming and molecular pathological signature in the kidney of diabetic rats. These findings highlighted the promising potential of AFADESI and MALDI integrated MSI based metabolomics approach for application in metabolic kidney diseases. (© 2021 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences. Production and hosting by Elsevier B.V.)
Databáze:	MEDLINE
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