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Virus-associated inflammation imprints an inflammatory profile on monocyte-derived macrophages in the human liver
Juan Diego Sanchez Vasquez, … , Harry L.A. Janssen, Adam J. Gehring
Juan Diego Sanchez Vasquez, … , Harry L.A. Janssen, Adam J. Gehring
Published April 15, 2025
Citation Information: J Clin Invest. 2025;135(8):e175241. https://doi.org/10.1172/JCI175241.
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Research Article Hepatology Immunology Infectious disease

Virus-associated inflammation imprints an inflammatory profile on monocyte-derived macrophages in the human liver

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Abstract

Chronic liver injury triggers the activation and recruitment of immune cells, causing antigen-independent tissue damage and liver disease progression. Tissue inflammation can reshape macrophage composition through monocyte replacement. Replacement of tissue macrophages with monocytes differentiating in an inflammatory environment can potentially imprint a phenotype that switches the liver from an immune-tolerant organ to one predisposed to tissue damage. We longitudinally sampled the liver of patients with chronic hepatitis B who had active liver inflammation and were starting antiviral therapy. Antiviral therapy suppressed viral replication and liver inflammation, which coincided with decreased myeloid activation markers. Single-cell RNA-Seq mapped peripheral inflammatory markers to a monocyte-derived macrophage population, distinct from Kupffer cells, with an inflammatory transcriptional profile. The inflammatory macrophages (iMacs) differentiated from blood monocytes and were unique from macrophage found in healthy or cirrhotic liver. iMacs retained their core transcriptional signature after inflammation resolved, indicating inflammation-mediated remodeling of the macrophage population in the human liver that may affect progressive liver disease and immunotherapy.

Authors

Juan Diego Sanchez Vasquez, Shirin Nkongolo, Daniel Traum, Valentin Sotov, Samuel C. Kim, Deeqa Mahamed, Aman Mehrotra, Anjali Patel, Diana Y. Chen, Scott Fung, Anuj Gaggar, Jordan J. Feld, Kyong-Mi Chang, Jeffrey J. Wallin, Ben X. Wang, Harry L.A. Janssen, Adam J. Gehring

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Figure 1

Study design and identification of hepatic cell populations at single-cell resolution from liver FNAs.

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Study design and identification of hepatic cell populations at single-ce...
(A) HBV DNA and ALT (displayed as fold change [FC] of the ULN) in blood over time, with patients whose samples were sequenced highlighted in red (n = 5). (B) Eleven CHB patients with elevated ALT levels started NUC therapy with TAF (25 mg/d). At baseline and after 12 and 24 weeks of therapy, blood and liver FNAs were collected. Longitudinal FNAs from 5 patients were subjected to scRNA-Seq. (C) Clustering and annotation of 41,829 cells from human livers for 5 patients across 3 time points (baseline, week 12, and week 24). Uniform manifold approximation and projection (UMAP) dimensionality reduction identified 30 clusters. (D) Luminex data from plasma immune profiles of all patients across time. (E) Feature plots depicting single-cell gene expression of individual genes detected by the Luminex assay. (F) Feature plots depicting single-cell gene expression of liver myeloid cells. P values were determined by repeated-measures 1-way ANOVA (*P < 0.05, **P < 0.005, and ***P < 0.001).

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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