Deciphering metabolic crosstalk in context: lessons from inflammatory diseases

Publication date

2024-07

Authors

Verheijen, Fenne W.M.ISNI 0000000527858143
Tran Ngoc Minh, ThiISNI 0000000527735418
Chang, Jung ChinISNI 0000000512511083
Broere, FemkeORCID 0000-0001-9343-0111ISNI 0000000388807652
Zaal, Esther AORCID 0000-0001-9890-7345ISNI 0000000492962943
Berkers, CeliaISNI 000000038703060X

Editors

Advisors

Supervisors

Document Type

Article
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License

cc_by

Abstract

Metabolism plays a crucial role in regulating the function of immune cells in both health and disease, with altered metabolism contributing to the pathogenesis of cancer and many inflammatory diseases. The local microenvironment has a profound impact on the metabolism of immune cells. Therefore, immunological and metabolic heterogeneity as well as the spatial organization of cells in tissues should be taken into account when studying immunometabolism. Here, we highlight challenges of investigating metabolic communication. Additionally, we review the capabilities and limitations of current technologies for studying metabolism in inflamed microenvironments, including single-cell omics techniques, flow cytometry-based methods (Met-Flow, single-cell energetic metabolism by profiling translation inhibition (SCENITH)), cytometry by time of flight (CyTOF), cellular indexing of transcriptomes and epitopes by sequencing (CITE-Seq), and mass spectrometry imaging. Considering the importance of metabolism in regulating immune cells in diseased states, we also discuss the applications of metabolomics in clinical research, as well as some hurdles to overcome to implement these techniques in standard clinical practice. Finally, we provide a flowchart to assist scientists in designing effective strategies to unravel immunometabolism in disease-relevant contexts.

Keywords

advanced metabolomics methods, immunometabolism, inflammatory diseases, metabolic crosstalk, metabolic heterogeneity, microenvironment, Genetics, Molecular Medicine, Oncology, Cancer Research, SDG 3 - Good Health and Well-being

Citation

Verheijen, F W M, Tran, T N M, Chang, J-C, Broere, F, Zaal, E A & Berkers, C R 2024, 'Deciphering metabolic crosstalk in context : lessons from inflammatory diseases', Molecular Oncology, vol. 18, no. 7, pp. 1759-1776. https://doi.org/10.1002/1878-0261.13588