Study on Tissue Distribution of A Variety of Endogenous Metabolites By Air Flow Assisted Ionization-Ultra High Resolution Mass Spectrometry Imaging |
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Authors: | WANG Zhong-Hua HE Bing-Shu SUN Cheng-Long SONG Xiao-Wei HE Jiu-Ming ZHANG Rui-Ping ABLIZ Zeper |
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Institution: | 1. Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China;2. State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China |
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Abstract: | As a promising new molecular imaging technique, mass spectrometry imaging (MSI) has attracted more and more attention in the field of biomedicine. A method of air flow assisted ionization-ultra high resolution mass spectrometry-based mass spectrometric imaging (AFAI-MSI) was developed to profile endogenous metabolites in rat kidney tissue in this study. Rat kidneys were collected and cut into frozen tissue sections, and then were analyzed on an AFAI-MSI system operated in positive ion mode using acetonitrile- isopropanol-water (4:4:2, V/V, 5 μL min?1) as spray solvent, nitrogen gas as spray gas (0.6 MPa) and air as assisting gas (45 L min?1). The mass range and resolution were set to be 70–1000 Da and 70000, respectively. As a result, a total of 38 metabolites, ranging from 103 to 107 in signal strength and belonging to different metabolite types, including organic amines, sugars, vitamins, peptides, neurotransmitters, organic acids, phospholipids, sphingolipids, glycerides, and cholesterol esters, were identified and imaged to characterize their tissue-specific distribution in kidney tissues. Some metabolites, such as choline, acetycholine, betaine, phosphocholine, and glycerolphosphocholin were found to have distinct distribution along the cortex-medulla axis, which may be involved in the formation of osmotic pressure gradient in the kidney. The proposed ultra high resolution mass spectrometry based AFAI-MSI method can work without sample pretreatment, showing high sensitivity and wide metabolite coverage, and is expected to provide a new analytical approach in the research of in situ characterization and metabolic regulation mechanism of endogenous metabolites in kidney. |
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Keywords: | Air flow assisted ionization Mass spectrometric imaging Endogenous metabolites Kidney |
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