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  4. Spatial metabolomics reveals glycogen as an actionable target for pulmonary fibrosis

Spatial metabolomics reveals glycogen as an actionable target for pulmonary fibrosis

Nature Communications, 2023 · DOI: 10.1038/s41467-023-38437-1 · Published: May 26, 2023

PulmonologyPhysiologyBioinformatics

Simple Explanation

This study uses spatial metabolomics to analyze metabolic heterogeneity in human lung diseases. It identifies metabolic channeling between glycogen and N-linked glycans as a critical process favoring pulmonary fibrosis progression. The research demonstrates that lysosomal utilization of glycogen is required for pulmonary fibrosis progression. The study employs high-dimensionality reduction/spatial clustering and histopathological annotation of matrix assisted laser desorption/ionization imaging datasets. This approach helps to map tissue anatomical regions and identify unique carbohydrate features that predict fibrotic tissue. Genetically modified mouse models with lysosomal glycogen utilization deficiency displayed blunted N-linked glycan levels and nearly 90% reduction in endpoint fibrosis. This suggests that glycogen metabolism plays a significant role in the development of pulmonary fibrosis.

Study Duration
21 days (mouse model)
Participants
Human IPF patients, COVID-19 patients, WT mice, Epm2a−/− mice, and Gaa−/−mice
Evidence Level
Not specified

Key Findings

  • 1
    High-dimensionality reduction and spatial clustering (HDR-SC) of MALDI-MSI datasets can accurately identify tissue microanatomy in both healthy and diseased lung tissues.
  • 2
    Glycogen and core fucosylated N-linked glycans are identified as clinical hallmarks of pulmonary fibrosis and are uniquely present in the myofibroblast cellular population.
  • 3
    Inability to utilize glycogen, either through genetic modification or enzyme deficiency, blunts fibrosis development in vivo, suggesting glycogen utilization is necessary for fibrosis progression.

Research Summary

This study uses spatial metabolomics to understand the biology of pulmonary fibrosis (PF) by identifying a potential role for glycogen utilization during fibrosis disease progression. The researchers demonstrated that high-dimensionality reduction and spatial clustering of MALDI-MSI datasets accurately captured fibrotic regions, and differential feature analysis identified biomarkers highlighting the role of glycogen utilization during fibrosis disease progression. Using two separate mouse models of fibrosis, the study demonstrates that the inability to utilize glycogen leads to significantly blunted N-linked glycan and collagen content and fibrosis development in vivo, suggesting glycogen utilization is critical for fibrosis development.

Practical Implications

Therapeutic Target Identification

Glycogen metabolism, particularly glycogen utilization by GAA in the lysosomal pathway, presents a potential therapeutic target for pulmonary fibrosis.

Diagnostic Biomarkers

Glycogen and N-linked glycans can serve as diagnostic biomarkers for pulmonary fibrosis, offering a high degree of predictability.

Personalized Medicine

Spatial metabolomics could be implemented into digital pathology and enable more personalized interventions for pulmonary fibrosis patients.

Study Limitations

  • 1
    Analysis was performed with a step size of 75 μm, above the size of an average human cell.
  • 2
    LKO and GAA mouse models are not suitable for aging studies.
  • 3
    Study focuses on myofibroblasts, and future directions should include assessing the roles of glycogen in unique immune cell populations driving PF.

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