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March 3, 20264 citationsOpen Access

From Patient Liver Tissue to Organoids: Establishment of a Translational Platform Using Healthy, Steatotic, and Cirrhotic Tissue Sources

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RPRobert PohlbergerKHKatja HardtMKMark Kühnel

Key Points

  • The central aim is to develop a reliable in vitro model using patient-derived liver organoids for studying liver diseases.
  • Collected tissues from 207 liver surgeries at RWTH University Hospital Aachen.
  • Established 45 patient-derived liver organoid lines with an 82% initiation success rate.
  • Used multiplex immunofluorescence to analyze cellular markers and assess growth dynamics.
  • Conducted time-lapse imaging combined with mathematical modeling to study growth patterns.
  • Organoids exhibited a proliferation rate with about 40% Ki-67-positive cells.
  • Presence of both hepatocyte and cholangiocyte markers was confirmed.
  • Growth analysis showed biphasic dynamics with linear expansion followed by exponential growth (doubling time ≈ 20.6 h).
  • Variable HNF4α expression highlighted differentiation status variability among patients.

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) and its consequences represent a growing global health burden that urgently requires physiologically relevant in vitro models beyond conventional 2D culture systems. In this study, we report the successful establishment of 45 patient-derived liver organoid lines. These organoids were generated from healthy, steatotic and cirrhotic tissues collected from 207 liver surgeries at RWTH University Hospital Aachen, with an initiation success rate of 82%. The organoids were propagated for at least six passages using an optimized protocol. Multiplex immunofluorescence analysis revealed highly proliferative structures with approximately 40% Ki-67-positive cells expressing hepatocyte (Albumin and HNF4α) and cholangiocyte (CK19) markers. Intermittent LGR5 staining suggested the presence of liver progenitor cell features. Quantitative PCR results confirmed variable HNF4α expression, indicating inter-patient heterogeneity in differentiation status. Time-lapse imaging combined with mathematical modeling uncovered a biphasic growth dynamic with an initial linear expansion in the first 15 h, followed by exponential growth (doubling time ≈ 20.6 h) between 30 and 72 h. Overall, our workflow produced genetically and phenotypically stable liver organoids that recapitulate essential features of various hepatic conditions. This provides a solid foundation for disease modeling, potential drug testing, and quantitative systems biology.

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Cite This Study

Pohlberger et al. (2026) studied this question.

synapsesocial.com/papers/69a67eb2f353c071a6f0a1a9https://doi.org/10.3390/cells15050432
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