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Visualization of metabolite distribution has become a crucial topic in plant science, especially in traditional Chinese medicine, as it unveils the formation process of specific metabolites within the plant. With reference to traditional Chinese medicine (TCM), it provides information regarding the active components and guides the application of plant parts in pharmaceutical applications. Normally, visualization of metabolites is achieved by in situ hybridization, fluorescence microscopy, or immunohistochemistry, however the number of compounds detected by these experiments conveys limited chemical information. Combined with tissue staining, mass spectrometry imaging (MSI) can provide large amount of data and supply spatial distribution information of compounds by scanning and analyzing tissue slices at micron-level1. MSI uses analytes for desorption and ionization from the sample surface, followed by mass analysis of the resulting vapor phase ions and application of imaging software to integrate the information and plot a two-dimensional image recording a specific ion abundance. This technology can determine both exogenous and endogenous molecules by detecting the characteristic distribution of drugs and their induced metabolites in target tissues and organs2,3,4,5.
Various imaging MS modalities have been developed over recent decades; the most prominent among them are desorption electrospray ionization-based MSI (DESI-MSI), matrix-assisted laser desorption/ionization (MALDI), and secondary ion mass spectrometry (SIMS)6. DESI-MSI is often used in biological research due to its atmospheric operation, high throughput, and higher accuracy7. MALDI has been applied to identify a transthyretin fragment as a potential nephrotoxic biomarker for gentamicin and to analyze the distribution of the neurotoxic metabolite 1-methyl-4-phenylpyridinium after the management of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine in mice brains8,9. MALDI and DESI have been used to determine the composition of drug-induced crystal-like structures in the kidney of dosed rabbits; these structures are mainly composed of metabolites formed due to the demethylation and/or oxidation of the drug10. Additionally, MSI has been applied in the localization of metabolic distribution of drug toxicity in target organs. However, the cells in plant tissue vary and are different from animals and require special sectioning procedures.
In plants, by using MALDI imaging, so far, the distribution of different compounds in wheat (Triticum aestivum) stem, soya bean (Glycine max), rice (Oryza sativa) seeds, Arabidopsis thaliana flowers and roots, and barley (Hordeum vulgare) seeds have been analyzed11,12,13,14,15,16,17,18. Recent studies have reported that DESI-MSI is emerging in the metabolite analysis of natural drugs and products, especially in TCMs such as Ginkgo biloba, Fuzi, and Artemisia annua L19,20,21. In these studies, the protocols for the preparation of plant material samples differ, and some require more complex equipment, like a freezing microtome. DESI-MSI has strict requirements for the surface flatness of the detected sample. When analyzing the organ or tissue of an animal, the sample is usually made by cryo-sectioning22. However, the procedure for cryo-sectioning is complicated and more expensive, and the commonly used adhesive optimal cutting temperature (OCT) method has a strong signal when imaging. In addition, the medicinal tissues of TCM vary; for instance, the root of Salvia miltiorrhiza, known as Danshen in Chinese, is medicinally used, while in Zisu (Perilla frutescens), the leaf is used23,24. Therefore, it is necessary to improve the sample preparation procedures to promote the utilization of DESI in metabolite analysis for TCM.
As a perennial herb and a commonly used TCM, S. miltiorrhiza was initially recorded in the oldest medicine monograph, Shennong's Classic of Materia Medica (known as Shennong Bencao Jing in Chinese). In this study, we optimized sectioning and DESI imaging procedures and developed a more cost-effective method to identify the distribution and categorize the compounds in tissues of S. miltiorrhiza. This method can also overcome the disadvantages associated with dry tissues - that they usually easily fracture under the nitrogen blow - and promote the development of TCM. The study will promote the standardization of TCM/ethnic medicine for research-related technologies.