Using mass spectrometry imaging to map fluxes quantitatively in the tumor ecosystem

Schwaiger-Haber, Michaela; Stancliffe, Ethan; Anbukumar, Dhanalakshmi S.; Sells, Blake E; Jia, Yanbin; Cho, Kevin; Adkins-Travis, Kayla; Chheda, Milan G.; Shriver, Leah P.; Patti, Gary J.

doi:10.1038/s41467-023-38403-x

Cited by 30 publications

(10 citation statements)

References 76 publications

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“…SISA unveiled an eightfold higher difference in palmitate elongation flux in tumor tissue compared with healthy brain tissue, possibly due to the elevated demand for 18 carbon acyl chains due to their prevalence in the membrane bilayer. This study emphasizes the potential of lipid synthesis as a promising therapeutic target in GBM 131 …”

Section: Maldi Msi Of Neuronal Lipids In Cns Diseasesmentioning

confidence: 77%

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Spatial neurolipidomics—MALDI mass spectrometry imaging of lipids in brain pathologies

Jha,

Blennow,

Zetterberg

et al. 2024

J Mass Spectrom

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Given the complexity of nervous tissues, understanding neurochemical pathophysiology puts high demands on bioanalytical techniques with respect to specificity and sensitivity. Mass spectrometry imaging (MSI) has evolved to become an important, biochemical imaging technology for spatial biology in biological and translational research. The technique facilitates comprehensive, sensitive elucidation of the spatial distribution patterns of drugs, lipids, peptides, and small proteins in situ. Matrix‐assisted laser desorption ionization (MALDI)‐based MSI is the dominating modality due to its broad applicability and fair compromise of selectivity, sensitivity price, throughput, and ease of use. This is particularly relevant for the analysis of spatial lipid patterns, where no other comparable spatial profiling tools are available. Understanding spatial lipid biology in nervous tissue is therefore a key and emerging application area of MSI research. The aim of this review is to give a concise guide through the MSI workflow for lipid imaging in central nervous system (CNS) tissues and essential parameters to consider while developing and optimizing MSI assays. Further, this review provides a broad overview of key developments and applications of MALDI MSI‐based spatial neurolipidomics to map lipid dynamics in neuronal structures, ultimately contributing to a better understanding of neurodegenerative disease pathology.

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Section: Maldi Msi Of Neuronal Lipids In Cns Diseasesmentioning

confidence: 77%

“…This study emphasizes the potential of lipid synthesis as a promising therapeutic target in GBM. 131…”

Section: Discussionmentioning

confidence: 99%

Spatial neurolipidomics—MALDI mass spectrometry imaging of lipids in brain pathologies

Jha,

Blennow,

Zetterberg

et al. 2024

J Mass Spectrom

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show abstract

“…Novel technologies, such as metabolomics and proteomics, would provide valuable insights into the metabolic status of cancer cells and their influence on the immune environment [82,83]. Further, advanced imaging and analytical techniques could lead us understand the metabolic gradients within the tumor microenvironment [84]. Nevertheless, our understanding of how metabolic conditions in TME influence immune cell function and tumor progression will be critical for developing new therapeutic strategies.…”

Section: Future Directionsmentioning

confidence: 99%

Immunological Aspects of Cancer Cell Metabolism

Ucche,

Hayakawa

2024

IJMS

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Cancer cells adeptly manipulate their metabolic processes to evade immune detection, a phenomenon intensifying the complexity of cancer progression and therapy. This review delves into the critical role of cancer cell metabolism in the immune-editing landscape, highlighting how metabolic reprogramming facilitates tumor cells to thrive despite immune surveillance pressures. We explore the dynamic interactions within the tumor microenvironment (TME), where cancer cells not only accelerate their glucose and amino acid metabolism but also induce an immunosuppressive state that hampers effective immune response. Recent findings underscore the metabolic competition between tumor and immune cells, particularly focusing on how this interaction influences the efficacy of emerging immunotherapies. By integrating cutting-edge research on the metabolic pathways of cancer cells, such as the Warburg effect and glutamine addiction, we shed light on potential therapeutic targets. The review proposes that disrupting these metabolic pathways could enhance the response to immunotherapy, offering a dual-pronged strategy to combat tumor growth and immune evasion.

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“…This is a relatively novel technique with evolving use for biological research. It has recently been employed for quantitative mapping of fluxes within tumor microenvironments [ 67 ] , the first reported instance of its use for MFA, positioning it as a promising tool for describing metabolic flux at the cellular level in a variety of contexts.…”

Section: Metabolic Flux Analysis In Adipose Tissue Biologymentioning

confidence: 99%

Metabolic flux analysis in adipose tissue reprogramming

Medina,

Bruno,

Alemán

2024

Immunometabolism

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Obesity is a growing epidemic in the United States and worldwide and is associated with insulin resistance and cardiovascular disease, among other comorbidities. Understanding of the pathology that links overnutrition to these disease processes is ongoing. Adipose tissue is a heterogeneous organ comprised of multiple different cell types and it is likely that dysregulated metabolism within these cell populations disrupts both inter- and intracellular interactions and is a key driver of human disease. In recent years, metabolic flux analysis, which offers a precise quantification of metabolic pathway fluxes in biological systems, has emerged as a candidate strategy for uncovering the metabolic changes that stoke these disease processes. In this mini review, we discuss metabolic flux analysis as an experimental tool, with a specific emphasis on mass spectrometry with isotope tracing as this is the technique most frequently used for metabolic flux analysis in adipocytes. Furthermore, we examine existing literature that uses metabolic flux analysis to further our understanding of adipose tissue biology. Our group has a specific interest in understanding the role of white adipose tissue inflammation in the progression of cardiometabolic disease, as we know that in obesity the accumulation of pro-inflammatory adipose tissue macrophages is associated with significant morbidity, so we use this as a paradigm throughout our review for framing the application of these experimental techniques. However, there are many other biological applications to which they can be applied to further understanding of not only adipose tissue biology but also systemic homeostasis.

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Using mass spectrometry imaging to map fluxes quantitatively in the tumor ecosystem

Cited by 30 publications

References 76 publications

Spatial neurolipidomics—MALDI mass spectrometry imaging of lipids in brain pathologies

Spatial neurolipidomics—MALDI mass spectrometry imaging of lipids in brain pathologies

Immunological Aspects of Cancer Cell Metabolism

Metabolic flux analysis in adipose tissue reprogramming

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