Studying Macrophages in the Murine Steatotic Liver Using Flow Cytometry and Confocal Microscopy

Zhuangzhuang Liu1,2, Pieter A Louwe1,2,3, Charlotte L Scott4,5,6

  • 1Laboratory of Myeloid Cell Biology in Tissue Damage and Inflammation, VIB-UGent Center for Inflammation Research, Ghent, Belgium.

Insights

Researchers developed new methods to identify diverse liver macrophage populations in metabolic dysfunction-associated steatotic liver disease (MASLD) and steatohepatitis (MASH). This advancement clarifies cellular roles in these liver conditions.

Area of Science:

  • Immunology
  • Hepatology
  • Cell Biology

Background:

  • Liver macrophages, previously considered solely Kupffer cells, are now recognized as diverse populations in metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH).
  • Understanding the distinct functions of these myeloid cell subsets is crucial for deciphering disease pathogenesis.

Purpose of the Study:

  • To establish robust protocols for isolating and identifying distinct myeloid cell subsets within the steatotic liver.
  • To provide reliable gating strategies for flow cytometry analysis of liver myeloid cells in MASLD/MASH models.
  • To address and mitigate challenges associated with increased autofluorescence in steatotic liver samples.

Main Methods:

  • Induction of MASLD/MASH in mouse models.
  • Isolation of cells from steatotic livers.
  • Development of specific gating strategies for myeloid cell subset identification using flow cytometry and confocal microscopy.
  • Implementation of techniques to minimize autofluorescence.

Main Results:

  • Successful induction of MASLD/MASH in mice.
  • Establishment of protocols for isolating diverse myeloid cell populations from the steatotic liver.
  • Defined gating strategies enabling discrimination between distinct macrophage, monocyte, and dendritic cell subsets.
  • Methods to overcome autofluorescence interference in flow cytometry and microscopy.

Conclusions:

  • Single-cell technologies reveal significant heterogeneity within liver myeloid cells in MASLD/MASH.
  • The presented protocols and gating strategies facilitate accurate identification and characterization of these subsets.
  • These advancements are essential for future research into the functional roles of liver myeloid cells in metabolic liver diseases.

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