Want to diagnose brain diseases? A mass spectrometry imaging may one day help you
Researchers from Osaka University developed a new method for brain tissue analysis in high spatial resolution that requires no sample preparation
Credit: Reproduced with permission. Copyright (2021) American Chemical Society. https://pubs.acs.org/doi/abs/10.1021/acs.analchem.0c04144
Osaka, Japan – Medical professionals all want to be able to quickly and correctly diagnose diseases. Their future ability to do so will depend on identifying what biochemicals are present in tissue sections, where the biomolecules are, and at what concentrations. For this purpose, mass spectrometry imaging–which can identify multiple biochemicals in a single experiment–will be useful. However, the stability of biomolecular sampling needs improvement to obtain the chemical distribution information with high spatial resolution.
In the recent study published in Analytical Chemistry, researchers from Osaka University used mass spectrometry to image the distribution of fat molecules in mouse brain tissue. They acquired data at a spatial resolution of 6.5 micrometers, enabling analysis on a cellular level.
The researchers used a very small capillary to gently extract lipid molecules from a tissue section, and a carefully designed setup for fine 3D directional control. Although biological tissue may often seem smooth to the naked eye, on an ultrasmall scale it’s rather rough. The ability to account for this ultrasmall-scale roughness is central to obtaining reproducible biochemical data at high spatial resolution.
“In our experiments, the probe’s vibration amplitude is constant even when the sample height changes,” says Yoichi Otsuka, first author. “We can also measure changes in sample height up to 20 micrometers, and it can be increased up to 180 micrometers.”
The researchers’ first experiments were to measure irregular distributions of molecules across an uneven surface: microwells filled with various concentrations of a dye. The measured concentrations correlated with the known concentrations, and the measured surface topography was close to the actual microwell diameter. Experiments with mouse brain sections yielded a multi-dimensional data of multiple molecules such as the distribution of certain hexosylceramides–lipids that are important in aging.
“Principle component analysis helped us integrate our wide-ranging data,” explains Takuya Matsumoto, senior author. “For example, we could assign the classes of lipids that are primarily present in the cortex and brainstem.”
Correlating such data with disease progression will require further study and perhaps additional development of the researchers’ biomolecule extraction setup. The researchers anticipate that their approach will be useful for quantitatively imaging the myriad neural networks in brain tissue. Ultimately, they hope to help medical practitioners reliably diagnose diseases such as brain cancer in a tissue section with the support of molecular information in high spatial resolution.
The article, “High-spatial-resolution multimodal imaging by tapping-mode scanning probe electrospray ionization with feedback control,” was published in Analytical Chemistry at DOI: https:/
About Osaka University
Osaka University was founded in 1931 as one of the seven imperial universities of Japan and is now one of Japan’s leading comprehensive universities with a broad disciplinary spectrum. This strength is coupled with a singular drive for innovation that extends throughout the scientific process, from fundamental research to the creation of applied technology with positive economic impacts. Its commitment to innovation has been recognized in Japan and around the world, being named Japan’s most innovative university in 2015 (Reuters 2015 Top 100) and one of the most innovative institutions in the world in 2017 (Innovative Universities and the Nature Index Innovation 2017). Now, Osaka University is leveraging its role as a Designated National University Corporation selected by the Ministry of Education, Culture, Sports, Science and Technology to contribute to innovation for human welfare, sustainable development of society, and social transformation.
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