MALDI Imaging Mass Spectrometry: Neurochemical Imaging of Proteins and Peptides

Advances in neuroproteomics for neurotrauma: unraveling insights for personalized medicine and future prospects

Neuroproteomics, an emerging field at the intersection of neuroscience and proteomics, has garnered significant attention in the context of neurotrauma research. Neuroproteomics involves the quantitative and qualitative analysis of nervous system components, essential for understanding the dynamic events involved in the vast areas of neuroscience, including, but not limited to, neuropsychiatric disorders, neurodegenerative disorders, mental illness, traumatic brain injury, chronic traumatic encephalopathy, and other neurodegenerative diseases. With advancements in mass spectrometry coupled with bioinformatics and systems biology, neuroproteomics has led to the development of innovative techniques such as microproteomics, single-cell proteomics, and imaging mass spectrometry, which have significantly impacted neuronal biomarker research. By analyzing the complex protein interactions and alterations that occur in the injured brain, neuroproteomics provides valuable insights into the pathophysiological mechanisms underlying neurotrauma. This review explores how such insights can be harnessed to advance personalized medicine (PM) approaches, tailoring treatments based on individual patient profiles. Additionally, we highlight the potential future prospects of neuroproteomics, such as identifying novel biomarkers and developing targeted therapies by employing artificial intelligence (AI) and machine learning (ML). By shedding light on neurotrauma's current state and future directions, this review aims to stimulate further research and collaboration in this promising and transformative field.

Attomole-Level Multiplexed Detection of Neurochemicals in Picoliter Droplets by On-Chip Nanoelectrospray Ionization Coupled to Mass Spectrometry

While droplet microfluidics is becoming an effective tool for biomedical research, sensitive detection of droplet content is still challenging, especially for multiplexed analytes compartmentalized within ultrasmall droplets down to picoliter volumes. To enable such measurements, we demonstrate a silicon-based integrated microfluidic platform for multiplexed analysis of neurochemicals in picoliter droplets via nanoelectrospray ionization (nESI)-mass spectrometry (MS). An integrated silicon microfluidic chip comprising downscaled 7 μm-radius channels, a compact T-junction for droplet generation, and an integrated nESI emitter tip is used for segmentation of analytes into picoliter compartments and their efficient delivery for subsequent MS detection. The developed system demonstrates effective detection of multiple neurochemicals encapsulated within oil-isolated plugs down to low picoliter volumes. Quantitative measurements for each neurochemical demonstrate limits of detection at the attomole level. Such results are promising for applications involving label-free and small-volume detection for monitoring a range of brain chemicals.

Integrating ion mobility and imaging mass spectrometry for comprehensive analysis of biological tissues: A brief review and perspective

Imaging mass spectrometry (IMS) technologies are capable of mapping a wide array of biomolecules in diverse cellular and tissue environments. IMS has emerged as an essential tool for providing spatially targeted molecular information due to its high sensitivity, wide molecular coverage, and chemical specificity. One of the major challenges for mapping the complex cellular milieu is the presence of many isomers and isobars in these samples. This challenge is traditionally addressed using orthogonal liquid chromatography (LC)-based analysis, though, common approaches such as chromatography and electrophoresis are not able to be performed at timescales that are compatible with most imaging applications. Ion mobility offers rapid, gas-phase separations that are readily integrated with IMS workflows in order to provide additional data dimensionality that can improve signal-to-noise, dynamic range, and specificity. Here, we highlight recent examples of ion mobility coupled to IMS and highlight their importance to the field.

Investigations of the Equilibrium Conditions in Plumes of Laser Desorbed Sinapic Acid with Amino Acid Analytes: Influence of Sample Preparation and Matrix to Analyte Ratio

The equilibrium nature of a plume of laser desorbed material is examined through the application of a previously developed thermodynamic model to the ion signals observed in 337 nm MALDI mass spectra of mixtures of the matrix sinapic acid with the amino acids alanine, valine, isoleucine, and phenylalanine. Samples are prepared using both conventional dried-droplet and solvent-free methods for comparison. The relative yield of protonated amino acid is shown to increase as the amino acid gas-phase basicity increases for both sample preparation methods. Matrix gas phase basicity values extracted from the equilibrium plots are shown to be in good agreement ([M - H⁺]^• 876 kJ/mol and [M] 879 kJ/mol) with published experimental values supporting a mechanism wherein the protonated sinapic acid and/or the matrix radical cation act as the proton donor species. These experiments further reveal that there is a large difference in the extracted plume effective temperatures with the solvent-free method yielding lower effective temperatures as compared to the dried-droplet sample preparation, e.g., 552 K versus 1296 K, respectively, at M/A 1:1 (mole/mole). In addition, these experiments suggest that plume effective temperatures decrease as the relative amount of matrix deposited with the analyte increases, regardless of the sample preparation method. Cumulatively, these observations suggest that the crystalline solid allows more efficient transfer of the photoexcitation energy during the sample desorption step, as compared to the solvent-free sample, and/or collisional cooling is more effective for the plume of material desorbed from the solvent-free sample as compared to the conventional dried-droplet sample.