Review
Chemistry, Analytical
Kasper K. Krestensen, Ron M. A. Heeren, Benjamin Balluff
Summary: Mass spectrometry imaging (MSI) has evolved from a niche technique to a widely used spatial biology tool. This review provides an overview of state-of-the-art MSI applications in both established and emerging biomedical fields, serving as a reference framework for new researchers in the field.
Article
Chemistry, Medicinal
Andreas Traberg, Fernanda E. Pinto, Anders C. N. Hansen, Merete Haedersdal, Catharina M. Lerche, Christian Janfelt
Summary: The aim of Quantitative mass spectrometry imaging (Q-MSI) is to provide distribution analysis and quantitation in one experiment. Mimetic tissue models based on spiked tissue homogenates are accurate methods for Q-MSI. The authors extended this model for skin studies, overcoming the high viscosity issue by adding water and handling the homogenate at an elevated temperature. They developed a method for quantitative imaging of bleomycin in skin using this model and included an internal standard to compensate for signal drift and skin inhomogeneities. The results of the model were comparable to a quantitative LC-MS analysis and it can replace or provide additional quantitative information to skin studies currently conducted by MSI alone.
Article
Chemistry, Analytical
Bingbing Liu, Xuanlin Meng, Kun Li, Jinggong Guo, Zongwei Cai
Summary: This study used MALDI-MSI to investigate the spatial distribution of lipids in cottonseeds, revealing heterogeneous distribution patterns of different lipid species within the seeds. The roles of these lipids in metabolic pathways were analyzed, and the relationship between their spatial distribution and functions was studied. The unique distribution patterns of lipid metabolites revealed by MSI may offer new insights into the spatial compartmentation of lipid metabolism in plants and can potentially aid genetic engineering efforts when combined with transcriptomics and proteomics.
Article
Chemistry, Multidisciplinary
Qiuqin Zhou, Stefano Rizzo, Janina Oetjen, Annabelle Fueloep, Miriam Rittner, Hartmut Gillandt, Carsten Hopf
Summary: Insufficient vacuum stability of matrix chemicals is a major limitation in MALDI mass spectrometry imaging of large tissue sample cohorts. A photo-cleavable caged molecule, DMNB-2,5-DHAP, was designed and synthesized for lipid MALDI-MSI of mouse brain tissue sections. DMNB-2,5-DHAP exhibited vacuum stability in a high vacuum MALDI ion source and its uncaging process resulted in the generation of 2,5-DHAP with the assistance of the built-in laser in the MALDI ion source.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Article
Microbiology
Jiaxin Yu, Ni Tien, Yu-Ching Liu, Der-Yang Cho, Jia-Wen Chen, Yin-Tai Tsai, Yu-Chen Huang, Huei-Jen Chao, Chao-Jung Chen
Summary: This study proposes a machine learning model based on MALDI-TOF MS for rapid MRSA prediction. The model was evaluated and validated on a prospective test and four external clinical sites. It can be easily integrated into current clinical workflows and help support proper antibiotic treatments.
MICROBIOLOGY SPECTRUM
(2022)
Article
Biochemical Research Methods
Ryo Matsuyama, Yuki Okada, Shuichi Shimma
Summary: The study on APAP-induced liver injury has shown the localization of NAPQI metabolites and changes in endogenous substances in the injured liver, providing insights into the mechanism underlying APAP-ILI. The findings suggest that analyzing tissue damage regions with MALDI-MSI could aid in identifying novel biomarkers for drug-induced liver injury.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2022)
Article
Plant Sciences
Lucia Galovicova, Natalia Cmikova, Marianna Schwarzova, Milena D. Vukic, Nenad L. Vukovic, Przemyslaw Lukasz Kowalczewski, Ladislav Bakay, Maciej Ireneusz Kluz, Czeslaw Puchalski, Ana D. Obradovic, Milos M. Matic, Miroslava Kacaniova
Summary: The aim of this study was to evaluate the various activities of the Cupressus sempervirens essential oil (CSEO), including antioxidant, antibiofilm, antimicrobial, insecticidal, and antiproliferative activities. The chemical composition of CSEO was determined, revealing the dominance of alpha-pinene and delta-3-carene. CSEO showed strong antioxidant activity, higher antibacterial efficacy, moderate antifungal activity, and demonstrated insecticidal effects. It also had no negative effects on normal cells but showed antiproliferative effects on certain cancer cells. Overall, CSEO has potential as an alternative treatment for various microorganisms and control of pests.
Article
Biochemical Research Methods
Stephen Castellino, Nichole M. Lareau, Mark Reid Groseclose
Summary: The pharmaceutical industry is constantly under pressure to innovate and improve performance, with successful innovations measured by their impact on pipeline progression. Implementing MALDI IMS technology helps better understand tissue biodistribution of drugs in early stages and in development, driving decision-making and providing quantifiable return on investment.
JOURNAL OF MASS SPECTROMETRY
(2021)
Review
Biochemistry & Molecular Biology
Elvira Sgobba, Yohann Daguerre, Marco Giampa
Summary: Classic metabolomic methods have limitations in spatial localization within fine structures, while MALDI MSI provides high spatial resolution for analyzing the local complexity of biological samples. This technology has been widely used in medical sciences and is now expanding to various research areas, demonstrating its strength in characterizing spatial distributions of metabolites, lipids, and peptides in relation to biological questions.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Agriculture, Multidisciplinary
Chizumi Abe, Ye Zhang, Kazuhiro Takao, Kuni Sasaki, Koji Ochiai, Toshiro Matsui
Summary: This study visually investigated the dynamic production of soybean phytoalexins glyceollins in germinating soybeans inoculated with Aspergillus oryzae using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) imaging. The results showed that glyceollins were only produced in the seed coat and germinated root regions of soybeans, and inoculation of inactivated fungi also promoted glyceollin production, suggesting a possible association with the fungus body.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2021)
Review
Biochemistry & Molecular Biology
Laura Darie-Ion, Danielle Whitham, Madhuri Jayathirtha, Yashveen Rai, Anca-Narcisa Neagu, Costel C. Darie, Brindusa Alina Petre
Summary: Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry is widely used in proteomics for the structural identification and characterization of proteins and peptides, including their modified forms. MALDI-MS and MALDI-MS/MS offer sensitive analysis of small and large molecules, enabling direct analysis of biological samples with minimal preparation. MALDI-MS/MS has greatly aided in understanding the molecular function and involvement in disease pathogenesis of peptides and proteins. This review highlights the applications of MALDI-MS and MALDI-MS/MS for analyzing biomedical relevant proteins and peptides, including the use of MALDI-MSI for spatial analysis of molecular weight proteins in tissues.
Article
Medical Laboratory Technology
Pasindu Wickramarachchi, Jessica M. Boyd, Dennis J. Orton
Summary: The study defined the biological variability of clozapine metabolism and found a significant relationship between kidney function and levels of CLO and NCLO.
CLINICA CHIMICA ACTA
(2022)
Article
Multidisciplinary Sciences
Daisuke Kitagawa, Yuki Suzuki, Noriyuki Abe, Koji Ui, Keitaro Suzuki, Takaya Yamashita, Atsuko Sakaguchi, Soma Suzuki, Kazue Masuo, Akiyo Nakano, Ryuichi Nakano, Masatoshi Sato, Koichi Maeda, Fumihiko Nakamura, Hisakazu Yano
Summary: In this study, the accuracy of two different bacterial identification methods, rpoB gene sequencing in conjunction with phylogenetic analysis and MALDI-TOF MS, were compared for differentiating Aeromonas spp. The results showed that rpoB sequencing method was the most accurate for species level identification, while MALDI Biotyper and VITEK MS accurately identified isolates at the genus level. However, MALDI-TOF MS-based methods had the advantages of low cost and ease of analysis, making them suitable for use in clinical laboratories.
Article
Microbiology
Saeyoung Lee, Seohyun Hwang, Dong Huey Cheon, Heejung Jang, Won Suk Yang, Min Jin Kim, SunHwa Lee, Je-Hyun Baek
Summary: The study evaluated a method called OS-MALDI MS for directly detecting carbapenemase-producing Enterobacterales (CPE) and compared it with two other methods. It found that the OS-MALDI MS method outperformed the other methods in terms of accuracy and sensitivity, making it a practical tool for clinical environments to guide appropriate antibiotic treatment and prevent the spread of antibiotic-resistant bacteria.
JOURNAL OF CLINICAL MICROBIOLOGY
(2022)
Article
Agricultural Engineering
Jiao Wu, Chuang Cui, Hongwei Zhao, Guangzhen Zhou, Liang Qin, Xinyu Li, Lulu Chen, Xiaodong Wang, Yinglang Wan
Summary: Arecoline, a prevalent alkaloid in areca fruits, is considered the fourth most consumed addictive drug globally. This study utilized multiple techniques to analyze the alkaloids in areca fruits and provided information on their distribution in different tissues, contributing to the optimal utilization of areca fruits.
INDUSTRIAL CROPS AND PRODUCTS
(2022)
Article
Oncology
Achim Buck, Verena M. Prade, Thomas Kunzke, Annette Feuchtinger, Dino Kroll, Marcus Feith, Bastian Dislich, Benjamin Balluff, Rupert Langer, Axel Walch
Summary: Spatial metabolomics analysis showed potential for evaluating therapy response in neoadjuvant-treated esophageal adenocarcinoma patients, with the classifier based on tumor metabolite data outperforming histopathological assessment in predicting survival outcomes. This suggests that metabolic characteristics of the tumor may play a more significant role in patient prognosis than the quantity of residual tumor cells or stroma.
JOURNAL OF PATHOLOGY
(2022)
Article
Oncology
Jun Wang, Thomas Kunzke, Verena M. Prade, Jian Shen, Achim Buck, Annette Feuchtinger, Ivonne Haffner, Birgit Luber, Drolaiz H. W. Liu, Rupert Langer, Florian Lordick, Na Sun, Axel Walch
Summary: This study used high mass resolution imaging mass spectrometry to perform spatial metabolomics in 362 patients with gastric cancer. The study identified three tumor-specific subtypes and three stroma-specific subtypes, linked with clinicopathological characteristics and molecular features. The findings suggest that tissue-based spatial metabolomics could provide valuable additional information for existing gastric cancer molecular classification systems.
CLINICAL CANCER RESEARCH
(2022)
Article
Cell Biology
Qian Wang, Na Sun, Thomas Kunzke, Achim Buck, Jian Shen, Verena M. Prade, Barbara Stoeckl, Jun Wang, Annette Feuchtinger, Axel Walch
Summary: Matrix-assisted laser desorption ionization (MALDI) Fourier transform ion cyclotron resonance (FTICR) imaging mass spectrometry (MS) is a powerful technology for analyzing metabolites. This study proposes a simple and low-cost filter paper application method to improve MALDI-FTICR MS detection in lipid-rich white adipose tissue (WAT). The method removes excess liquid lipids and improves the detection of metabolites.
HISTOCHEMISTRY AND CELL BIOLOGY
(2022)
Article
Multidisciplinary Sciences
Tanja Paul, Stephan Ledderose, Harald Bartsch, Na Sun, Sarah Soliman, Bruno Maerkl, Viktoria Ruf, Jochen Herms, Marcel Stern, Oliver T. Keppler, Claire Delbridge, Susanna Mueller, Guido Piontek, Yuki Schneider Kimoto, Franziska Schreiber, Tracy Ann Williams, Jens Neumann, Thomas Knoesel, Heiko Schulz, Ria Spallek, Matthias Graw, Thomas Kirchner, Axel Walch, Martina Rudelius
Summary: This study reveals the tropism of SARS-CoV-2 to adrenal glands, leading to adrenalitis and severe damage. This can impact immune regulation and adrenal function, highlighting the importance of monitoring adrenal function in the treatment and recovery of COVID-19.
NATURE COMMUNICATIONS
(2022)
Article
Oncology
Franziska Erlmeier, Na Sun, Jian Shen, Annette Feuchtinger, Achim Buck, Verena M. Prade, Thomas Kunzke, Peter Schraml, Holger Moch, Michael Autenrieth, Wilko Weichert, Arndt Hartmann, Axel Walch
Summary: Renal cell carcinoma (RCC) is a common type of kidney tumor, but prognostic biomarkers for RCC are still lacking. In this study, a large cohort of RCC patients with the three most common RCC subtypes (ccRCC, pRCC, and chRCC) was analyzed using high mass resolution MALDI-MSI for biomarker detection. Several pathways and metabolites with prognostic power for RCC in general and different RCC subtypes were identified.
Article
Oncology
Jian Shen, Na Sun, Philipp Zens, Thomas Kunzke, Achim Buck, Verena M. Prade, Jun Wang, Qian Wang, Ronggui Hu, Annette Feuchtinger, Sabina Berezowska, Axel Walch
Summary: Metabolic classifiers developed using mass spectrometry imaging combined with machine learning can assess the response to neoadjuvant chemotherapy in patients with non-small cell lung cancer (NSCLC) and predict prognosis with high accuracy.
CANCER COMMUNICATIONS
(2022)
Article
Oncology
Vidhya M. Ravi, Paulina Will, Jan Kueckelhaus, Na Sun, Kevin Joseph, Henrike Salie, Lea Vollmer, Ugne Kuliesiute, Jasmin von Ehr, Jasim K. Benotmane, Nicolas Neidert, Marie Follo, Florian Scherer, Jonathan M. Goeldner, Simon P. Behringer, Pamela Franco, Mohammed Khiat, Junyi Zhang, Ulrich G. Hofmann, Christian Fung, Franz L. Ricklefs, Katrin Lamszus, Melanie Boerries, Manching Ku, Jurgen Beck, Roman Sankowski, Marius Schwabenland, Marco Prinz, Ulrich Schueller, Saskia Killmer, Bertram Bengsch, Axel K. Walch, Daniel Delev, Oliver Schnell, Dieter Henrik Heiland
Summary: This study utilizes spatially resolved transcriptomics, metabolomics, and proteomics to characterize glioblastomas and uncover their spatial organization and adaptive mechanisms to inflammatory and metabolic stimuli. The integration of metabolic imaging and imaging mass cytometry reveals the interdependence between tumor and host in a locoregional manner, leading to spatially exclusive adaptive transcriptional programs. The findings confirm the importance of environmental stress in shaping glioblastoma subclones and their transcriptional programs.
Article
Oncology
Julia Hess, Kristian Unger, Cornelius Maihoefer, Lars Schuettrumpf, Peter Weber, Sebastian Marschner, Ludmila Wintergerst, Ulrike Pflugradt, Philipp Baumeister, Axel Walch, Christine Woischke, Thomas Kirchner, Martin Werner, Kristin Soerensen, Michael Baumann, Ingeborg Tinhofer, Stephanie E. Combs, Juergen Debus, Henning Schaefer, Mechthild Krause, Annett Linge, Jens von der Gruen, Martin Stuschke, Daniel Zips, Martin Canis, Kirsten Lauber, Ute Ganswindt, Michael Henke, Horst Zitzelsberger, Claus Belka
Summary: HPV-driven head and neck squamous cell carcinomas generally have a more favorable prognosis. The study aimed to identify HPV-associated HNSCC using an miRNA signature and characterize their unique transcriptome. A 24-miRNA signature predicting HPV status was validated in different cohorts, and combining it with p16/HPV DNA status allowed for improved risk stratification and identification of an HPV-associated patient subgroup with impaired overall survival. Integration of p16/HPV DNA with the 24-miRNA signature status could potentially impact future clinical decision-making in HPV-associated HNSCC.
Article
Oncology
Elia Lombardo, Julia Hess, Christopher Kurz, Marco Riboldi, Sebastian Marschner, Philipp Baumeister, Kirsten Lauber, Ulrike Pflugradt, Axel Walch, Martin Canis, Frederick Klauschen, Horst Zitzelsberger, Claus Belka, Guillaume Landry, Kristian Unger
Summary: A explainable convolutional neural network classifier, DeepClassPathway, is proposed to predict HPV status and identify molecular pathways driving classifier decisions in head and neck cancer patients. The classification performance achieved high accuracy and highlighted key pathways for HPV positive and negative patients.
EUROPEAN JOURNAL OF CANCER
(2022)
Article
Oncology
Franziska Erlmeier, Na Sun, Jian Shen, Annette Feuchtinger, Achim Buck, Verena M. Prade, Thomas Kunzke, Peter Schraml, Holger Moch, Michael Autenrieth, Wilko Weichert, Arndt Hartmann, Axel Walch
Summary: In this study, high mass resolution matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) was used to classify and detect biomarkers for four common primary renal tumors. By analyzing tissue specimens, the metabolic pathways and profiles of different renal tumor subtypes were determined. This method has a high accuracy in tumor discrimination and can be a useful tool in differential diagnosis and biomarker detection.
Article
Medicine, Research & Experimental
Achim Buck, Verena M. Prade, Thomas Kunzke, Reinhold G. Erben, Axel Walch
Summary: In this study, spatial metabolomics using matrix-assisted laser desorption/ionization Fourier-transform ion cyclotron resonance mass spectrometry imaging was employed to investigate the metabolic changes in bones of Hyp mice. The study found complex alterations in pentose phosphate, purine, pyrimidine, and phospholipid metabolism in Hyp mice. Additionally, an upregulation of biochemical pathways involved in the production of the mineralization inhibitor pyrophosphate was identified. The findings highlight the utility of MSI-based spatial metabolomics in bone research and provide insights into the changes in biochemical pathways associated with impaired bone mineralization caused by Phex deficiency.
Article
Oncology
Juan I. Pisula, Rabi R. Datta, Leandra Boerner Valdez, Jan-Robert Avemarg, Jin-On Jung, Patrick Plum, Heike Loeser, Philipp Lohneis, Monique Meuschke, Daniel Pinto dos Santos, Florian Gebauer, Alexander Quaas, Axel Walch, Christiane J. Bruns, Kai Lawonn, Felix C. Popp, Katarzyna Bozek
Summary: This study presents a deep-learning method based on convolutional neural networks (CNNs) for scoring microscopy images of gastroesophageal adenocarcinoma (GEA) patients. The method accurately detects HER2 overexpression and offers automated detection without the need for manual assessment and costly in situ hybridisation (ISH) tests. The approach shows high accuracy, precision, and recall, and exhibits superior performance in cases that require additional ISH testing.
BRITISH JOURNAL OF CANCER
(2023)
Article
Medical Laboratory Technology
Masanori Murakami, Na Sun, Fengxia Li, Annette Feuchtinger, Celso Gomez-Sanchez, Martin Fassnacht, Martin Reincke, Irina Bancos, Axel Walch, Matthias Kroiss, Felix Beuschlein
Summary: Recent advances in omics techniques have allowed detailed genetic characterization of cortisol-producing adrenal adenoma (CPA). The current study conducted a comprehensive mass spectrometry imaging (MSI) map of CPAs in relation to clinical phenotypes and immunohistochemical profiles of steroidogenic enzymes. The results revealed novel metabolic links between endocrine function and tumorigenesis, which will further support the understanding of CPA pathophysiology.
CLINICAL CHEMISTRY
(2023)
Article
Gastroenterology & Hepatology
Jurate Skerniskyte, Celine Mulet, Antonin C. Andre, Mark C. Anderson, Louise Injarabian, Achim Buck, Verena M. Prade, Philippe J. Sansonetti, Sophie Reibel-Foisset, Axel K. Walch, Michel Lebel, Jens Lykkesfeldt, Benoit S. Marteyn
Summary: Shigella spp. are bacterial pathogens that cause bacterial dysentery and shigellosis, primarily in children in developing countries. The lack of a suitable animal model has hindered the study of the complete life cycle of Shigella in vivo and the evaluation of vaccine candidates' efficacy. By inducing moderate ascorbate deficiency in guinea pigs and using a Gulo-/- mouse infection model, researchers found that vitamin C deficiency increased the severity of shigellosis symptoms and Shigella penetration into the colon epithelium layer. These new rodent models provide new opportunities for studying Shigella infection strategies and immune responses.
