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Spatial genomics: mapping human steatotic liver disease.

Kylie P Matchett1, Jasmin Paris1, Sarah A Teichmann2,3

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Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health issue. Spatial genomics offers new insights into MASLD development and potential therapeutic targets.

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Area of Science:

  • Hepatology and Molecular Biology
  • Genomics and Bioinformatics

Background:

  • Metabolic dysfunction-associated steatotic liver disease (MASLD), previously non-alcoholic fatty liver disease, is a primary driver of chronic liver disease globally.
  • MASLD can advance to metabolic dysfunction-associated steatohepatitis (MASH), potentially leading to liver cirrhosis and hepatocellular carcinoma.

Purpose of the Study:

  • To review current knowledge on MASLD pathogenesis and progression.
  • To highlight the role of spatial genomics in advancing the understanding of liver disease.

Main Methods:

  • Review of up-to-date scientific literature on MASLD.
  • Discussion of emerging spatial genomics technologies and their application in hepatology.

Main Results:

  • Single-cell and single-nuclei RNA sequencing have significantly advanced liver disease research.
  • Spatial genomics provides crucial context to single-cell data, enhancing understanding of liver biology and disease.

Conclusions:

  • Spatial genomics is a transformative technology for MASLD research.
  • This approach accelerates the identification of novel therapeutic targets for human liver diseases.