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Abstract: FR-PO0685

Comparative Transcriptomic Analysis of Polycystic Kidneys and Livers from Patients with ADPKD Reveals Organ-Specific Alterations in Transcriptional Profiles and Associated Signaling Pathways

Session Information

Category: Genetic Diseases of the Kidneys

  • 1201 Genetic Diseases of the Kidneys: Monogenic Kidney Diseases

Authors

  • Hogan, Marie C., Mayo Clinic Research Rochester, Rochester, Minnesota, United States
  • Masyuk, Anatoliy, Mayo Clinic Research Rochester, Rochester, Minnesota, United States
  • Masyuk, Tetyana V., Mayo Clinic Research Rochester, Rochester, Minnesota, United States
  • Wixom, Alexander Q, Mayo Clinic Research Rochester, Rochester, Minnesota, United States
  • Trussoni, Christy, Mayo Clinic Research Rochester, Rochester, Minnesota, United States
  • Sherman, Will A., Mayo Clinic Research Rochester, Rochester, Minnesota, United States
  • Harris, Peter C., Mayo Clinic Research Rochester, Rochester, Minnesota, United States
  • Torres, Vicente E., Mayo Clinic Research Rochester, Rochester, Minnesota, United States
  • LaRusso, Nicholas F., Mayo Clinic Research Rochester, Rochester, Minnesota, United States
Background

Autosomal Dominant Polycystic Kidney Disease (ADPKD) and ADPKD-associated Polycystic Liver Disease (PLD) are co-existing monogenic disorders with limited (ADPKD) or no (PLD) FDA-approved therapies. We hypothesize that organ-specific transcriptional profiles in PKD kidneys and PLD livers might determine disparity in renal and hepatic cystogenesis and help identify new therapeutic targets.

Methods

Kidney and liver tissues of age- and sex-matched ADPKD patients and healthy individuals (n=3 for each condition) were used to assess transcriptional profiles of cystic renal (PKD-REC) and biliary epithelial cells (PLD-BEC) by applying unbiased discovery-based spatial transcriptomics (ST). KEGG pathway analysis was used to reveal commonly or uniquely dysregulated pathways in cystic kidneys and livers.

Results

Results: we found that PKD-REC and PLD-BEC are characterized by multiple differentially expressed genes and affected signaling pathways (ASigP) (Table 1).

The top 5 distinctively ASigP in kidneys are: EGF/EGFR, TGF-beta receptor, ROBO receptors and TROP2 signaling, and cellular senescence. The top 5 distinctively ASigP in livers are: cell cycle, ciliary landscape, transcriptional regulation by p53, and HIF-1 and Rap1 signaling. Commonly affected pathways in both organs include cAMP signaling, autophagy, cell cycle, innate immune system and transcriptional misregulation.

Conclusion

Comparative transcriptomic profiling of liver and kidney tissues in ADPKD patients demonstrates that pathways underlying PKD and PLD progression are different and organ specific. The overall larger number of differentially expressed genes and affected pathways in PKD compared to PLD might account for more severe phenotype in PKD. Common and uniquely affected signaling pathways in cystic kidneys and liver might serve as targets for concurrent or exclusive treatment of PKD and PLD.

Table 1
 KidneyLiver
Number of differentially expressed genes25571758
Number of affected signaling pathways (ASigP)7842
Number of Distinctive ASigP6529
Number of Common ASigP1313

Funding

  • NIDDK Support

Digital Object Identifier (DOI)