Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Submit a comment

Single-cell Spatial Transcriptomics Reveals Hepatocyte Reprogramming in Fontan Associated Liver Disease
Brandon M. Lehrich, Jordann N. Lewis, Vik Meadows, Lori Schmitt, Mylarappa B. Ningappa, Jia-Jun Liu, Silvia Liu, Catherine K. Gestrich, Victor O. Morell, Rakesh Sindhi, Satdarshan P. Monga, Anita Saraf
Brandon M. Lehrich, Jordann N. Lewis, Vik Meadows, Lori Schmitt, Mylarappa B. Ningappa, Jia-Jun Liu, Silvia Liu, Catherine K. Gestrich, Victor O. Morell, Rakesh Sindhi, Satdarshan P. Monga, Anita Saraf
View: Text | PDF
Research In-Press Preview Cardiology Hepatology Metabolism

Single-cell Spatial Transcriptomics Reveals Hepatocyte Reprogramming in Fontan Associated Liver Disease

  • Text
  • PDF
Abstract

Fontan-associated liver disease (FALD) is a frequent complication in single ventricle patients palliated with the Fontan operation. FALD severity can impact clinical decisions; however, the pathophysiology of FALD progression is unknown. Single-cell spatial transcriptomics (ST) was performed on liver explant tissue sections from FALD patients with early (n=1) and advanced fibrosis (n=1) using CosMxTM Spatial Molecular Imaging with in-situ hybridization of 6000 genes. Immunofluorescence for liver zonation and cellular stress markers was performed to confirm protein expression based on ST analysis in additional FALD tissues (n=18). Unbiased clustering yielded 12 liver cell types, comprising six subtypes of hepatocytes. FALD with advanced fibrosis demonstrated expansion of mid-zonal hepatocytes, accompanied by loss of zonal markers characteristic of canonical pericentral and periportal hepatocytes. A subset of hepatocytes in advanced FALD demonstrated increased cellular stress and a redundant zonal phenotype, which we have termed zonally ambiguous and stressed hepatocytes. CellChat analysis revealed that ectopic WNT2 signaling is likely driving disrupted hepatocyte zonation. To corroborate these bioinformatic findings, we performed immunofluorescence staining of FALD specimens, which confirmed a disruption of liver zonation, and a significant increase in heat shock protein 70 (HSP70). Lastly, HSP70 expression strongly correlated with the Congestive Hepatic Fibrosis (CHF) score. Thus, single-cell ST has identified a unique population of hepatocytes with features of cellular stress and redundant zonal gene expression specific to advanced FALD. Further studies on hepatocyte metabolic function in Fontan patients will lead to a greater understanding of FALD development and progression during chronic maladaptation.

Authors

Brandon M. Lehrich, Jordann N. Lewis, Vik Meadows, Lori Schmitt, Mylarappa B. Ningappa, Jia-Jun Liu, Silvia Liu, Catherine K. Gestrich, Victor O. Morell, Rakesh Sindhi, Satdarshan P. Monga, Anita Saraf

×

Guidelines

The Editorial Board will only consider comments that are deemed relevant and of interest to readers. The Journal will not post data that have not been subjected to peer review; or a comment that is essentially a reiteration of another comment.

  • Comments appear on the Journal’s website and are linked from the original article’s web page.
  • Authors are notified by email if their comments are posted.
  • The Journal reserves the right to edit comments for length and clarity.
  • No appeals will be considered.
  • Comments are not indexed in PubMed.

Specific requirements

  • Maximum length, 400 words
  • Entered as plain text or HTML
  • Author’s name and email address, to be posted with the comment
  • Declaration of all potential conflicts of interest (even if these are not ultimately posted); see the Journal’s conflict-of-interest policy
  • Comments may not include figures
This field is required
This field is required
This field is required
This field is required
This field is required
This field is required

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts