MALDI Imaging Research Articles

Deciphering S1P downregulation and sphingolipid homeostasis disruption in fungal keratitis via multi-omics and MALDI-MSI analysis.

The absence of effective treatment strategies in Fungal Keratitis (FK) emphasizes the critical need to understand the pathogenic mechanisms to enhance therapeutic outcomes. Sphingolipids have been proved to play a pivotal role in the pathogenesis of fungal infections, but the specific alteration in sphingolipids and regulatory pathways remain elusive. Our aim is to gain insight into the pathophysiological mechanisms of sphingolipid homeostasis in FK through multi-omics analysis. Matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) was performed in FK patients and mouse model. Furthermore, time-course RNA-seq was performed and Weighted gene co-expression network analysis (WGCNA) was used to reveal the driver genes in FK. We further investigated the effect of FTY-720, a mimetic of sphingosine 1-phosphate (S1P), on the progression of FK. MALDI-MSI analysis of FK patients revealed a downregulation of sphingolipids, with sphingolipid metabolism identified as the most prominently enriched pathway. These alterations were validated in mouse model, in which S1P, ceramide, ceramide 1-phosphate and sphingomyelin were found to be downregulated. Time-course transcriptomic analysis suggests that degradation of sphingolipids by specific enzymes drives the progression of FK, involving phospholipid degradation, downregulation of TOR pathway, and activation of innate immune response. Consequently, epithelial cell function was inhibited and cell death increased. Importantly, restoring sphingolipid homeostasis by FTY-720 reversed the level of S1P and relieved the progression of FK. In summary, this study reveals that disruption of sphingolipid homeostasis promotes disease progression in FK. Furthermore, restoring sphingolipid homeostasis emerges as a promising strategy to mitigate the progression of FK.

Immuno-oncologic profiling by stage-dependent transcriptome and proteome analyses of spontaneously regressing canine cutaneous histiocytoma.

Canine cutaneous histiocytoma (CCH) is a tumor that originates from dermal Langerhans cells and affects particularly young dogs. The common spontaneous regression of CCH makes it an interesting model in comparative oncology research. Previous studies have indicated that anti-tumor immune responses may be involved, but details remain speculative to date. Here, we asked which specific immuno-oncological dynamics underlie spontaneous regression of CCH on mRNA and protein levels. QuantSeq 3' mRNA sequencing with functional over-representation analysis and an nCounter RNA hybridization assay were employed on 21 formalin-fixed, paraffin-embedded CCH samples representing three different tumor stages (dataset information: GSE261387-Immuno-Oncologic Profiling by Stage-Dependent Transcriptome and Proteome Analyses of Spontaneously Regressing Canine Cutaneous Histiocytoma-OmicsDI). Nine additional samples were subjected to matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). Surprisingly, only minor stage-specific differences were found. When we investigated expression of B7 family ligands and CD28 family receptors holding co-stimulatory and -inhibitory functions, respectively, we found a higher abundance of CD80, CD86, CTLA4 and CD28, which may trigger a balanced activation of lymphocyte-mediated immune responses. CD80 and CD86 expressing cells were further quantified by in situ hybridization and compared with data from three cases of canine histiocytic sarcoma (HS), a malignant tumor variant originating from antigen-presenting interstitial dendritic cells. A stage-specific increase of CD80 expressing cells was recorded in CCH from the tumor bottom to the top, while CD86 was continuously and homogenously expressed at high levels. Overall expression of CD80 in CCH was similar to that in HS (73.3 ± 37.4% vs 62.1 ± 46.4%), while significantly more CD86 expressing tumor cells were found in CCH (94.7 ± 10.3%) when compared to HS (57.6 ± 11.0%). Our data suggest that major immuno-oncological pathways are not regulated during regression of CCH on the mRNA or protein levels as detectable by the methods used. Instead, our data provide further evidence supporting previous hypotheses towards a role of immune stimulatory B7 family ligands and CD28 family receptors in the regression of CCH.

Insight into distribution and composition of nonhuman N-Glycans in mammalian organs via MALDI-TOF and MALDI-MSI

The major hurdle of xenotransplantation is the immune response triggered by human natural antibodies interacting with carbohydrate antigens on the transplanted animal organ. Specifically, terminal glycoprotein motifs such as galactose-α1,3-galactose (α-Gal) and N-glycolylneuraminic acid (Neu5Gc) are significant obstacles. Little is known about the abundance and compositions of asparagine-linked complex carbohydrates (N-glycans) carrying these motifs in mammalian organs. By studying heart, kidney, and liver tissues from pig, cattle, and sheep, we aimed to gain insights into the abundance and spatial distribution of α-Gal- or Neu5Gc-containing N-glycans. N-glycomes were analyzed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS), MALDI-mass spectrometry imaging (MSI), and capillary electrophoresis-electrospray ionization (CE-ESI)-MS. Both α-Gal- and Neu5Gc-containing N-glycans were present in all samples, with α-Gal-modified N-glycans being the most abundant nonhuman carbohydrate motif. The abundance of N-glycans terminating with α-Gal or Neu5Gc was higher in heart and kidney samples than livers. MSI revealed kidneys had the highest glycosylation levels, and α-Gal-containing N-glycans were abundant in the kidney cortex but scarce in the medulla. This study enhances our understanding of α-Gal- and Neu5Gc-modified N-glycans in animal organs and may guide research on carbohydrate antigen-induced immune rejection in xenotransplantation.

Glycerophospholipid metabolic disorders and gender difference of cantharidin-induced hepatotoxicity in rats: Lipidomics and MALDI mass spectrometry imaging analysis

The hepatotoxicity mechanism of cantharidin (CTD), a major active component of Mylabris was explored based on liver lipidome alterations and spatial distributions in female and male rats using lipidomics and matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). After oral CTD exposure, the livers of female rats were screened for 104 differential lipids including lysophosphatidylethanolamine(LysoPE)(20:2/0:0) and diacylglycerol(DG)(18:2/22:4), whereas the livers of male rats were screened for 76 differential lipids including fatty acid(FA)(24:6) and DG(18:0/22:4). According to the MALDI-MSI results, female rats exhibited 12 differential lipids with alteration in the abundance and spatial distribution of phosphatylcholine(PC), phosphatidylethanolamine(PE), lysophosphatidylcholine(LysoPC), and LysoPE in the liver lesion area. On the other hand, male rats exhibited 8 differential lipids with changes in the abundance and spatial distribution of PC, PE, and FA in the liver lesion area. The lipidomics- and MALDI-MSI-detected differential lipids strongly disrupted glycerophospholipid metabolism in both female and male rats. Additionally, phosphatidate phosphatase (Lipin1), choline/ethanolamine phosphotransferase 1 (CEPT1), and phosphatidylethanolamine N-methyltransferase (PEMT) were screened to distinguish CTD hepatoxicity in female and male rats. Western blotting analysis demonstrated a significant elevation in Lipin1 expression in female and male rat livers, accompanied by a decrease in PEMT expression. Furthermore, CEPT1 expression increased significantly in female rat livers and decreased significantly in male rat livers. These findings suggested that CTD could disrupt lipid metabolism in a gender-specific manner. Moreover, the combination of lipidomics and MALDI-MSI could offer valuable insights into CTD-induced hepatotoxicity in rats.

A Streamlined Workflow for Microscopy-Driven MALDI Imaging Mass Spectrometry Data Collection.

Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) is a rapidly advancing technology for biomedical research. As spatial resolution increases, however, so do acquisition time, file size, and experimental cost, which increases the need to perform precise sampling of targeted tissue regions to optimize the biological information gleaned from an experiment and minimize wasted resources. The ability to define instrument measurement regions based on key tissue features and automatically sample these specific regions of interest (ROIs) addresses this challenge. Herein, we demonstrate a workflow using standard software that allows for direct sampling of microscopy-defined regions by MALDI IMS. Three case studies are included, highlighting different methods for defining features from common sample types─manual annotation of vasculature in human brain tissue, automated segmentation of renal functional tissue units across whole slide images using custom segmentation algorithms, and automated segmentation of dispersed HeLa cells using open-source software. Each case minimizes data acquisition from unnecessary sample regions and dramatically increases throughput while uncovering molecular heterogeneity within targeted ROIs. This workflow provides an approachable method for spatially targeted MALDI IMS driven by microscopy as part of multimodal molecular imaging studies.

Membrane-based preparation for mass spectrometry imaging of cultures of bacteria.

The study of the dialogue between microorganisms at the molecular level is becoming essential to understand their relationship (antagonist, neutral, or beneficial interactions) and its impact on the organization of the microbial community. Mass spectrometry imaging (MSI) with matrix-assisted laser desorption/ionization (MALDI) is a technique that reveals the spatial distribution of molecules on a sample surface that may be involved in interactions between organisms. An experimental limitation to perform MALDI MSI is a flat sample surface, which in many cases could not be achieved for bacterial colonies such as filamentous bacteria (e.g., Streptomyces). In addition, sample heterogeneity affects sample dryness and MALDI matrix deposition prior to MSI. To avoid such problems, we introduce an additional step in the sample preparation. A polymeric membrane is interposed between the microorganisms and the agar-based culture medium, allowing the removal of bacterial colonies prior to MSI of the homogeneous culture medium. A proof of concept was evaluated on Streptomyces ambofaciens (a soil bacterium) cultures on solid media. As the mycelium was removed at the same time as the polymeric membrane, the metabolites released into the medium were spatially resolved by MALDI MSI. In addition, extraction of the recovered mycelium from the membrane confirmed the identification of the metabolites by ESI MS/MS analysis. This approach allows both the spatial distribution of metabolites produced by microorganisms in an agar medium to be studied under well-controlled sample preparation and their structure to be elucidated. This capability is illustrated using desferrioxamine E, a siderophore produced by S. ambofaciens.

Cognitive improvement via cortical cannabinoid receptors and choline-containing lipids.

Recent research linking choline-containing lipids to degeneration of basal forebrain cholinergic neurons in neuropathological states illustrates the challenge of balancing lipid integrity with optimal acetylcholine levels, essential for memory preservation. The endocannabinoid system influences learning and memory processes regulated by cholinergic neurotransmission. Therefore, we hypothesised that activation of the endocannabinoid system may confer neuroprotection against cholinergic degeneration. We examined the neuroprotective potential of sub-chronic treatments with the cannabinoid agonist WIN55,212-2, using ex vivo organotypic tissue cultures including nucleus basalis magnocellularis and cortex and in vivo rat models of specific cholinergic damage induced by 192IgG-saporin. Levels of lipids, choline and acetylcholine were measured with histochemical and immunofluorescence assays, along with [35S]GTPγS autoradiography of cannabinoid and muscarinic GPCRs and MALDI-mass spectrometry imaging analysis. Learning and memory were assessed by the Barnes maze and the novel object recognition test in rats and in the 3xTg-AD mouse model. Degeneration, induced by 192IgG-saporin, of baso-cortical cholinergic pathways resulted in memory deficits and decreased cortical levels of lysophosphatidylcholines (LPC). WIN55,212-2 restored cortical cholinergic transmission and LPC levels via activation of cannabinoid receptors. This activation altered cortical lipid homeostasis mainly by reducing sphingomyelins in lesioned animals. These modifications were crucial for memory recovery. We hypothesise that WIN55,212-2 facilitates an alternative choline source by breaking down sphingomyelins, leading to elevated cortical acetylcholine levels and LPCs. These results imply that altering choline-containing lipids via activation of cannabinoid receptors presents a promising therapeutic approach for dementia linked to cholinergic dysfunction.

Spatially heterogeneous lipid dysregulation in tuberculous meningitis

Tuberculous (TB) meningitis is the deadliest form of extrapulmonary TB which disproportionately affects children and immunocompromised individuals. Studies in pulmonary TB have shown that Mycobacterium tuberculosis can alter host lipid metabolism to evade the immune system. Cholesterol lowering drugs (i.e., statins) reduce the risk of infection, making them a promising host-directed therapy in pulmonary TB. However, the effect of M. tuberculosis infection on the young or adult brain lipidome has not been studied. The brain is the second-most lipid-rich organ, after adipose tissue, with a temporally and spatially heterogeneous lipidome that changes from infancy to adulthood. The young, developing brain in children may be uniquely vulnerable to alterations in lipid composition and homeostasis, as perturbations in cholesterol metabolism can cause developmental disorders leading to intellectual disabilities. To begin to understand the alterations to the brain lipidome in pediatric TB meningitis, we utilized our previously published young rabbit model of TB meningitis and applied mass spectrometry (MS) techniques to elucidate spatial differences. We used matrix assisted laser desorption/ionization-MS imaging (MALDI-MSI) and complemented it with region-specific liquid chromatography (LC)-MS/MS developed to identify and quantify sterols and oxysterols difficult to identify by MALDI-MSI. MALDI-MSI revealed several sphingolipids, glycerolipids and glycerophospholipids that were downregulated in brain lesions. LC-MS/MS revealed the downregulation of cholesterol, several sterol intermediates along the cholesterol biosynthesis pathway and enzymatically produced oxysterols as a direct result of M. tuberculosis infection. However, oxysterols produced by oxidative stress were increased in brain lesions. Together, these results demonstrate significant spatially regulated brain lipidome dysregulation in pediatric TB meningitis.

Methodological aspects of correlative, multimodal, multiparametric breast cancer imaging: from data acquisition to image processing for AI-based radioproteomics in a preclinical setting

Preclinical high-field magnetic resonance imaging (MRI) systems offer a diverse array of MRI techniques, providing rich multiparametric MRI (mpMRI) platforms for studying numerous biological parameters. mpMRI platforms prove particularly indispensable when investigating tumors that exhibit profound intratumoral heterogeneity, such as breast cancer. A thoughtful comprehension of the origins of intratumoral heterogeneity is imperative for the judicious assessment of new targeted therapies and treatment interventions. Furthermore, when data from mpMRI are complemented with data from other in vivo imaging modalities, such as positron emission tomography (PET), and correlated with data from ex vivo modalities, such as matrix-assisted laser desorption imaging mass spectrometry (MALDI IMS), the in vivo parameters can be further elucidated at a molecular level and microscopic scale. Nevertheless, extracting meaningful scientific insights from such complex datasets necessitates the utilization of machine learning (ML) approaches to discern region-specific radiomic features. The development of correlative, multimodal imaging (CMI) workflows, such as one incorporating MRI, PET and MALDI IMS, is inherently challenging, given the many technological and methodological challenges related to multimodal data acquisition as well as the physiological limitations of the laboratory mice of the investigation. Standardization efforts in image acquisition and processing are required to increase the reproducibility and translatability of CMI data. To address the challenges of developing standardized CMI workflows and stimulate dialog regarding this area of need, we present a practical workflow to investigate tumor heterogeneity in breast cancer xenografts across various spatial scales. Our workflow entails simultaneous functional MRI and PET acquisitions in living mice, followed by correlation with post-imaging MALDI IMS and histologic data. Additionally, we propose data preprocessing steps for potential ML applications. We illustrate the feasibility of this workflow through two examples, showcasing its effectiveness in comparing in vivo and ex vivo images to evaluate tumor metabolism and hypoxia in mice with breast cancer xenografts.

MALDI MSI Protocol for Spatial Bottom-Up Proteomics at Single-Cell Resolution.

Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) started with spatial mapping of peptides and proteins. Since then, numerous bottom-up protocols have been developed. However, achievable spatial resolution and sample preparation with many wet steps hindered the development of single cell-level workflows for bottom-up spatial proteomics. This study presents a protocol optimized for MALDI-MSI measurements of single cells within the context of their 2D culture. Sublimation of CHCA, followed by a dip in ice-cold ammonium phosphate monobasic (AmP), produced peptide-rich mass spectra while maintaining matrix crystal sizes around 400 nm. This enables MALDI-MSI imaging of proteins in single cells grown on an ITO slide with a throughput of approximately 7800 cells per day. 89 peptide-like features corresponding to a single MDA-MB-231 breast cancer cell were detected. Furthermore, by combining the MALDI-MSI data with LC-MS/MS data obtained on cell pellets, we have successfully identified 24 peptides corresponding to 17 proteins, including actin, vimentin, and transgelin-2.

MALDI versus DESI mass spectrometry imaging of lipids in atherosclerotic plaque.

Mass spectrometry imaging (MSI) is a powerful tool for detecting lipids in tissue sections, with matrix-assisted laser desorption/ionization (MALDI) and desorption electrospray ionization (DESI) as its key ionization techniques. In this study, we examine how MALDI compares with state-of-the-art DESI ionization in identifying lipids in heterogeneous samples, specifically atherosclerotic plaques. Carotid plaques (n= 4) from patients undergoing endarterectomy were snap-frozen, stored at -80°C, and then sectioned for MSI analysis and H&E staining. Measurements were conducted using a SYNAPT XS mass spectrometer in positive ion mode, employing MALDI with a 2,5-dihydroxybenzoic acid (DHB) matrix and DESI with a methanol: water (98:2) (v/v) solvent. Our comparison covered spectral profiles, sensitivity, and image quality generated by these two techniques. We found that both MALDI and DESI are highly suitable techniques for detecting a wide range of lipids in atherosclerotic plaque sections. DESI-MSI exhibited higher ion counts for most lipid classes than MALDI-MSI and provided sharper images. MALDI detected larger amounts of ceramide and hexosylceramide species, possibly due to its efficient generation of dehydrated ions. In contrast, DESI showed greater peak intensities of cholesteryl ester and triacylglyceride species than MALDI, consistent with reduced fragmentation. These findings establish the relative merits of DESI and MALDI and demonstrate their complementarity as techniques for lipid research in MSI.

Single-colony MALDI mass spectrometry imaging reveals spatial differences in metabolite abundance between natural and cultured Trichodesmium morphotypes.

Trichodesmium, a globally significant N2-fixing marine cyanobacterium, forms extensive surface blooms in nutrient-poor ocean regions. These blooms consist of a dynamic assemblage of Trichodesmium species that form distinct colony morphotypes and are inhabited by diverse microorganisms. Trichodesmium colony morphotypes vary in ecological niche, nutrient uptake, and organic molecule release, differentially impacting ocean carbon and nitrogen biogeochemical cycles. Here, we assessed the poorly studied spatial abundance of metabolites within and between three morphologically distinct Trichodesmium colonies collected from the Red Sea. We also compared these results with two morphotypes of the cultivable Trichodesmium strain IMS101. Using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) coupled with liquid extraction surface analysis (LESA) tandem mass spectrometry (MS2), we identified and localized a wide range of small metabolites associated with single-colony Trichodesmium morphotypes. Our untargeted MALDI-MSI approach revealed 80 unique features (metabolites) shared between Trichodesmium morphotypes. Discrimination analysis showed spatial variations in 57 shared metabolites, accounting for 62% of the observed variation between morphotypes. The greatest variations in metabolite abundance were observed between the cultured morphotypes compared to the natural colony morphotypes, suggesting substantial differences in metabolite production between the cultivable strain IMS101 and the naturally occurring colony morphotypes that the cultivable strain is meant to represent. This study highlights the variations in metabolite abundance between natural and cultured Trichodesmium morphotypes and provides valuable insights into metabolites common to morphologically distinct Trichodesmium colonies, offering a foundation for future targeted metabolomic investigations.IMPORTANCEThis work demonstrates that the application of spatial mass spectrometry imaging at single-colony resolution can successfully resolve metabolite differences between natural and cultured Trichodesmium morphotypes, shedding light on their distinct biochemical profiles. Understanding the morphological differences between Trichodesmium colonies is crucial because they impact nutrient uptake, organic molecule production, and carbon and nitrogen export, and subsequently influence ocean biogeochemical cycles. As such, our study serves as an important initial assessment of metabolite differences between distinct Trichodesmium colony types, identifying features that can serve as ideal candidates for future targeted metabolomic studies.

Exploring the medicinal potential of Dendrobium: Uncovering the spatial distribution of flavonoids and alkaloids in 15 species of Dendrobium using MALDI-MSI

Dendrobium, the second largest genus in the Orchidaceae family, has been regarded as a valuable medicinal plant throughout Chinese history. Secondary metabolites present in the stem of Dendrobium, including alkaloids and flavonoids, confer significant pharmacological effects such as anti-inflammatory, antibacterial, immunomodulatory, antitumor, and antioxidant properties. To our knowledge, this study is the first to apply matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) technology to comprehensively identify the spatial distribution of secondary metabolites, particularly flavonoids and alkaloids, in the mature stems of 15 common Dendrobium species. By analyzing the matching scores and relative concentrations of compounds, 20 flavonoids and 19 alkaloids with high identification credibility were identified, along with 4 sesquiterpenoid compounds. Their spatial distributions and compositions were analyzed, and the results revealed that despite the similar structural basis of the stems in the 15 Dendrobium species, significant differences existed in the distribution of secondary metabolites among different species. Flavonoids and alkaloids with different medicinal effects exhibited certain specific distribution patterns; for instance, flavonoids with antioxidant effects were mostly concentrated in the outer circle of thin-walled cells of Dendrobium stems, whereas those with antitumor effects were found in higher concentrations in the central areas of some Dendrobium species than in the periphery. Alkaloids with antitumor properties typically exhibited a higher concentration in peripheral thin-walled cells than in central regions. Furthermore, statistical analysis was conducted on the content of secondary metabolites with different effects among the 15 Dendrobium species to identify species with greater medicinal potential in terms of antioxidant and antitumor effects. The findings of this study not only enhance our understanding of the distribution patterns of flavonoids and alkaloids within Dendrobium stems but also offer valuable insights for the medicinal development and quality assessment of Dendrobium.

Visualizing the transdermal delivery of berberine loaded within chitosan microneedles using mass spectrometry imaging.

Berberine (BR), an alkaloid isolated from theChinese traditional medicine Coptidis rhizoma, exhibits therapeutic effects on several diseases including bacterial infections, diabetes, and hyperlipidemia, but the oral availability is poor. In this work, we prepared the chitosan microneedle array-loaded BR (BR-CS MNAs) to transdermally deliver BR, and the spatial distribution of BR in heterogeneous skin tissues was analyzed and imaged by matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI). Some endogenous phospholipids with specific spatial distribution were used to differentiate the epidermis and dermis regions of the skin. The results showed that BR was effectively delivered and could permeate to both epidermis and dermis regions of the skin. This demonstrated the feasibility of MALDI-MSI to evaluate the transdermal delivery efficiency of microneedle arrays and suggested BR could be transdermally delivered by CS MNAs.

Tissue derivatization for visualizing lactate and pyruvate in mouse testis tissues using matrix-assisted laser desorption/ionization-mass spectrometry imaging

Pyruvate and lactate are the final metabolites of the glycolytic system that are formed under oxygen-rich and anaerobic conditions, respectively. They play an important role in energy metabolism. Obtaining a tissue distribution image of pyruvate and lactate holds great significance in molecular biology because the glycolytic system plays an essential role in diseases, such as tumors and diabetes; microbial activities, such as alcohol production and lactic acid fermentation; and maintaining homeostasis in the gut environment. However, it is difficult to obtain images of the distribution of in vivo metabolites because of the low detection sensitivities of current methods. In this study, a novel derivatization method for pyruvate and lactate was developed using matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) to detect pyruvate and lactate in vivo and obtain biodistribution images. We investigated derivatization methods using readily available 3-nitrophenylhydrazine (3NPH), the addition of which improves the sensitivity of pyruvate detection, and the distribution of pyruvate in mouse testes was successfully visualized. Furthermore, the distribution of lactate in the mouse testes could be visualized, and improved detection sensitivity for the main metabolites of the tricarboxylic acid cycle was demonstrated. This derivatization method can be used to detect carboxyl-containing metabolites, including pyruvate, via MALDI-MSI. Furthermore, 3NPH forms amide bonds with carbonyl, phosphate, and carboxyl groups, suggesting the possibility of visualizing its distribution in many metabolites.Graphical

Matrix-assisted laser desorption/ionization mass spectrometry imaging as a new tool for molecular histopathology in epilepsy surgery.

Epilepsy surgery is a treatment option for patients with seizures that do not respond to pharmacotherapy. The histopathological characterization of the resected tissue has an important prognostic value to define postoperative seizure outcome in these patients. However, the diagnostic classification process based on microscopic assessment remains challenging, particularly in the case of focal cortical dysplasia (FCD). Imaging mass spectrometry is a spatial omics technique that could improve tissue phenotyping and patient stratification by investigating hundreds of biomolecules within a single tissue sample, without the need for target-specific reagents. An insitu proteomic technique called matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is here investigated as a potential new tool to expand conventional diagnosis on standard paraffin brain tissue sections. Unsupervised and region of interest-based MALDI-MSI analyses of sections from 10 FCD type IIb (FCDIIb) cases were performed, and the results were validated by immunohistochemistry. MALDI-MSI identified distinct histopathological features and the boundaries of the dysplastic lesion. The capability to visualize the spatial distribution of well-known diagnostic markers enabling multiplex measurements on single tissue sections was demonstrated. Finally, a fingerprint list of potential discriminant peptides that distinguish FCD core from peri-FCD tissue was generated. This is the first study that explores the potential application of MALDI-MSI in epilepsy postsurgery fixed tissue, by utilizing the well-characterized FCDIIb features as a model. Extending these preliminary analyses to a larger cohort of patients will generate spectral libraries of molecular signatures that discriminate tissue features and will contribute to patient phenotyping.

Bacteria from the Amycolatopsis genus associated with a toxic bird secrete protective secondary metabolites

Uropygial gland secretions of birds consist of host and bacteria derived compounds and play a major sanitary and feather-protective role. Here we report on our microbiome studies of the New Guinean toxic bird Pachycephala schlegelii and the isolation of a member of the Amycolatopsis genus from the uropygial gland secretions. Bioactivity studies in combination with co-cultures, MALDI imaging and HR-MS/MS-based network analyses unveil the basis of its activity against keratinolytic bacteria and fungal skin pathogens. We trace the protective antimicrobial activity of Amycolatopsis sp. PS_44_ISF1 to the production of rifamycin congeners, ciromicin A and of two yet unreported compound families. We perform NMR and HR-MS/MS studies to determine the relative structures of six members belonging to a yet unreported lipopeptide family of pachycephalamides and of one representative of the demiguisins, a new hexapeptide family. We then use a combination of phylogenomic, transcriptomic and knock-out studies to identify the underlying biosynthetic gene clusters responsible for the production of pachycephalamides and demiguisins. Our metabolomics data allow us to map molecular ion features of the identified metabolites in extracts of P. schlegelii feathers, verifying their presence in the ecological setting where they exert their presumed active role for hosts. Our study shows that members of the Actinomycetota may play a role in avian feather protection.

Spatial Metabolomics via Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging (MALDI-MSI) Identifies Bioenergetic and Tricarboxylic Acid (TCA) Cycle Metabolites as Pharmacodynamic Biomarkers of Losartan for Diabetic Kidney Disease

Spatial Metabolomics via Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging (MALDI-MSI) Identifies Bioenergetic and Tricarboxylic Acid (TCA) Cycle Metabolites as Pharmacodynamic Biomarkers of Losartan for Diabetic Kidney Disease

MALDI and MALDI-2 mass spectrometry imaging contribute to revealing the alternations in lipid metabolism in germinating soybean seeds

MALDI and MALDI-2 mass spectrometry imaging contribute to revealing the alternations in lipid metabolism in germinating soybean seeds

The Use of Patient-Derived Organoids in the Study of Molecular Metabolic Adaptation in Breast Cancer

Around 13% of women will likely develop breast cancer during their lifetime. Advances in cancer metabolism research have identified a range of metabolic reprogramming events, such as altered glucose and amino acid uptake, increased reliance on glycolysis, and interactions with the tumor microenvironment (TME), all of which present new opportunities for targeted therapies. However, studying these metabolic networks is challenging in traditional 2D cell cultures, which often fail to replicate the three-dimensional architecture and dynamic interactions of real tumors. To address this, organoid models have emerged as powerful tools. Tumor organoids are 3D cultures, often derived from patient tissue, that more accurately mimic the structural and functional properties of actual tumor tissues in vivo, offering a more realistic model for investigating cancer metabolism. This review explores the unique metabolic adaptations of breast cancer and discusses how organoid models can provide deeper insights into these processes. We evaluate the most advanced tools for studying cancer metabolism in three-dimensional culture models, including optical metabolic imaging (OMI), matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI), and recent advances in conventional techniques applied to 3D cultures. Finally, we explore the progress made in identifying and targeting potential therapeutic targets in breast cancer metabolism.