Landscape of Intercellular Crosstalk in Healthy and NASH Liver Revealed by Single-Cell Secretome Gene Analysis
Open accessAbstract
Cell-cell communication via ligand-receptor signaling is a fundamental feature of complex organs. Despite this, the global landscape of intercellular signaling in mammalian liver has not been elucidated. Here we perform single-cell RNA sequencing on non-parenchymal cells isolated from healthy and NASH mouse livers. Secretome gene analysis revealed a highly connected network of intrahepatic signaling and disruption of vascular signaling in NASH. We uncovered the emergence of NASH-associated macrophages (NAMs), which are marked by high expression of triggering receptors expressed on myeloid cells 2 (Trem2), as a feature of mouse and human NASH that is linked to disease severity and highly responsive to pharmacological and dietary interventions. Finally, hepatic stellate cells (HSCs) serve as a hub of intrahepatic signaling via HSC-derived stellakines and their responsiveness to vasoactive hormones. These results provide unprecedented insights into the landscape of intercellular crosstalk and reprogramming of liver cells in health and disease.
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In the context of MASLD and MASH, a progressive loss of KCs, where the degree of loss is correlated with the severity of the injury, has been reported.
“In the context of MASLD and MASH, a progressive loss of KCs, where the degree of loss is correlated with the severity of the injury, has been reported (36, 37, 104–106, 108).”
From Targeting macrophages in liver fibrosis (2026) · cites this paper as [108]
The Results section (page unavailable) reports a marked expansion of Kupffer cells in NASH livers, contrary to the claimed progressive loss. It associates Trem2 and Gpnmb expression—not the degree of KC loss—with liver injury and fibrosis. (LLM, conf=0.89)
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Experimental — accuracy not yet measuredLAMs, SAMs and NAMs exhibit a very similar transcriptional profile, with the precise name reflecting the different studies in which these cells were identified.
“Notably, these cells exhibit a very similar transcriptional profile, with the precise name (LAM, SAM, or NAM) reflecting the different studies in which these cells were identified.”
From Targeting macrophages in liver fibrosis (2026) · cites this paper as [108]
The Results section, “Emergence of NASH-associated macrophage and its molecular signature” (page not supplied), identifies and names NAM and describes their Trem2, Gpnmb and Cd9 expression. It does not compare NAM with LAMs or SAMs or establish that the three names reflect different studies of cells with very similar transcriptional profiles. (LLM, conf=0.84)
Experimental — accuracy not yet measuredMonocytes recruited to zones of steatosis and fibrosis appear to take on an alternative profile, which has been given multiple names, including lipid-associated macrophages (LAMs), scar-associated macrophages (SAMs) and NASH-associated macrophages (NAMs).
“On the other hand, those monocytes recruited to zones of steatosis and fibrosis appear to take on an alternative profile, which has been given multiple names, including lipid-associated macrophages (LAMs), scar-associated macrophages (SAMs) and NASH-associated macrophages (NAMs) (31, 104, 108, 109).”
From Targeting macrophages in liver fibrosis (2026) · cites this paper as [108]
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredThe majority of murine studies suggest LAMs/LAM-like KCs play a role in tissue repair, contributing to dead cell and lipid clearance, reducing lipotoxic stress, and preventing uncontrolled inflammation.
“While the majority of murine studies to date have suggested a role for LAMs/LAM-like KCs in tissue repair, contributing to dead cell and lipid clearance, thus reducing lipotoxic stress, and preventing uncontrolled inflammation (36, 108, 122–126)”
From Targeting macrophages in liver fibrosis (2026) · cites this paper as [108]
The Discussion (page unavailable) suggests that NASH-associated macrophages clear apoptotic and lipid-laden hepatocytes and likely serve an adaptive, protective role in diet-induced NASH. It does not establish that they reduce lipotoxic stress or prevent uncontrolled inflammation, or assess what the majority of murine studies conclude. (LLM, conf=0.85)
Experimental — accuracy not yet measuredMacrophages in the fibrotic liver called LAMs, SAMs, and NAMs in different studies largely share a conserved transcriptional profile.
“A good example of this is the population of macrophages in the fibrotic liver, which have been called LAMs, SAMs, and NAMs in different studies, despite largely sharing a conserved transcriptional profile (31, 104, 108).”
From Targeting macrophages in liver fibrosis (2026) · cites this paper as [108]
The Results section, “Emergence of NASH-associated macrophage and its molecular signature” (page unavailable), identifies a Trem2-high liver macrophage population in NASH and names it NAM, with a characteristic gene-expression profile. The paper does not establish that NAMs, LAMs, and SAMs largely share a conserved transcriptional profile across studies. (LLM, conf=0.86)
Experimental — accuracy not yet measured
The dataset of immune cells displayed highly conserved transcriptomic signatures with data from two combined mouse MASH-related HCC studies and one human MASH study.
“Expectedly, our dataset of immune cells displayed highly conserved transcriptomic signatures with the data from two combined mouse MASH-related HCC studies [31, 46] and one human MASH study [17] (Fig. S3D,E).”
From Single-cell transcriptome reveals the reprogramming of immune microenvironment during the transition from MASH to HCC (2025) · cites this paper as [31]
Analyses of ligand‒receptor interactions in single-cell RNA sequencing datasets have revealed that HSCs are among the most interactive cell types in the liver.
“Indeed, analyses of ligand‒receptor interactions in single-cell RNA sequencing datasets have revealed that HSCs are among the most interactive cell types in the liver [19, 223, 224].”
From Inflammation and immunity in liver homeostasis and disease: a nexus of hepatocytes, nonparenchymal cells and immune cells (2025) · cites this paper as [223]
HSCs secrete mediators, sometimes termed "stellakines", in MASLD, including CCL2, CCL11, CXCL10, CXCL12, and CXCL16, which may also increase their recruitment and interaction with immune cells and thereby promote liver fibrosis or repair.
“HSCs secrete mediators, sometimes termed “stellakines”, in MASLD, including CCL2, CCL11, CXCL10, CXCL12, and CXCL16, which may also increase their recruitment and interaction with immune cells and thereby promote liver fibrosis or repair [223, 246].”
From Inflammation and immunity in liver homeostasis and disease: a nexus of hepatocytes, nonparenchymal cells and immune cells (2025) · cites this paper as [223]
A TREM2+ macrophage subtype strongly linked to markers of tissue injury and fibrosis is enriched in NASH livers.
“A TREM2+ macrophage subtype that is strongly linked to markers of tissue injury and fibrosis is enriched in NASH livers (19).”
From Hepatic Stellate Cell-Immune Interactions in NASH (2022) · cites this paper as [19]
Algorithms that analyze ligand-receptor pairs to predict cell-cell signaling have demonstrated that HSCs have among the greatest number and most diverse interactions of any hepatic cell type, including with KCs, MoMFs, and to a lesser extent T, B, and NKT cells.
“Algorithms that analyze ligand-receptor pairs to predict cell-cell signaling have demonstrated that HSCs have among the greatest number and most diverse interactions of any hepatic cell type including with KCs, MoMF and to a lesser extent T, B, and NKT cells (19, 54).”
From Hepatic Stellate Cell-Immune Interactions in NASH (2022) · cites this paper as [19]
The immune-targeting stellakines upregulated in NASH include CCL2, CCL11, CXCL10, CXCL12, CXCL16, CTGF, and Gas6.
“The immune-targeting “stellakines”, which are upregulated in NASH, included CCL2, CCL11, CXCL10, CXCL12, CXCL16, CTGF, and Gas6 (19).”
From Hepatic Stellate Cell-Immune Interactions in NASH (2022) · cites this paper as [19]
Analysis of receptor ligand pairs using scRNAseq from the AMLN murine NASH model identified a set of HSC-specific secreted factors termed stellakines and established HSCs as a signaling hub that interacts extensively with LSECs, macrophages, and to a lesser extent DCs, T cells, and B cells.
“Analysis of receptor ligand pairs using scRNAseq from the AMLN murine NASH model identified a set of HSC-specific secreted factors termed “stellakines” and established HSCs as a signaling hub that interacts extensively with LSECs, macrophages, and to a lesser extent, DCs, T cells, and B cells.”
From Hepatic Stellate Cell-Immune Interactions in NASH (2022) · cites this paper as [19]
CellPhoneDB analysis has revealed numerous cell-cell interactions in mouse models of NASH and in patients with cirrhosis, including NASH-associated cirrhosis, and has revealed mesenchymal cells, macrophages and endothelial cells as having intense interactions with other cell types.
“CellPhoneDB analysis has revealed numerous cell-cell interactions in mouse models of NASH and in patients with cirrhosis, including NASH-associated cirrhosis, and has revealed mesenchymal cells, macrophages and endothelial cells as having intense interactions with other cell types.[18], [19], [20]”
From Understanding the cellular interactome of non-alcoholic fatty liver disease (2022) · cites this paper as [20]
Ligand-receptor analysis indicates that activated HSCs play a complex role in fibrotic signalling through the ECM secretome, with secreted proteins such as collagen serving both structural and signalling functions via receptors such as ITGA1 or DDR2, and activating receptors for vasoactive proteins such as VIPR1 and AGTR1A.
“As well as collagen production, ligand-receptor analysis indicates that activated HSCs play a complex role in fibrotic signalling through the ECM secretome itself: secreted proteins such as collagen serving both a structural and a signalling function with cognate receptors such as ITGA1 (integrin subunit α1) or DDR2. They also have activating receptors for a number of vasoactive proteins such as”
From Understanding the cellular interactome of non-alcoholic fatty liver disease (2022) · cites this paper as [20]
Sustained myofibroblast activation in chronic liver disease drives fibrosis, especially in MASH, where myofibroblasts are detectable by desmin and αSMA immunofluorescence and by single-cell RNA-seq gene expression.
“These functions normally contribute to tissue repair under homeostatic conditions, but sustained activation in chronic liver diseases drives fibrosis, especially in MASH (41) where they are detectable by expression of desmin and alpha smooth muscle actin (αSMA) using immunofluorescence, and by conservation of gene expression based on single-cell RNA-seq (42-46).”
From Found in translation—Fibrosis in metabolic dysfunction–associated steatohepatitis (MASH) (2023) · cites this paper as [46]
Detection of both quiescent and activated HSCs in mouse liver injury models by single-cell RNA-seq supports HSC activation as a driver of fibrosis across etiologies, including MASH.
“The detection of both quiescent and activated HSCs in mouse liver injury models using single cell RNA-seq reinforces HSC activation as a driver of fibrosis common across etiologies that includes MASH (46-50).”
From Found in translation—Fibrosis in metabolic dysfunction–associated steatohepatitis (MASH) (2023) · cites this paper as [46]
Additional signaling pathways directly promote or block HSC activation in MASH fibrosis, including FGF21, GLP2/GLP2R, IL11, and CCL25/CCR9.
“Additional signaling pathways also directly promote or block HSC activation in MASH fibrosis, including fibroblast growth factor 21 (FGF21) (164), glucagon-like peptide 2/ glucagon-like peptide 2 receptor (165), interleukin 11 (IL11) (46, 166), and chemokine ligand 2 (CCL25)/C-C chemokine receptor type 9 (CCR9) (167).”
From Found in translation—Fibrosis in metabolic dysfunction–associated steatohepatitis (MASH) (2023) · cites this paper as [46]
scRNAseq and ligand-receptor network analysis of NASH livers shows that activated HSCs express increased CXCL12 with CXCR4 in B cells as the potential target.
“Supporting a fibrogenic function of B cells, sc‐RNAseq and ligand‐receptor network analysis of NASH livers shows that activated HSCs express increased C‐X‐C motif chemokine ligand 12 with C‐X‐C motif chemokine receptor 4 (Cxcr4) in B cells as the potential target.( 57 )”
From The Emerging Role of B Cells in the Pathogenesis of NAFLD (2021) · cites this paper as [57]
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References 62 · Cited by 784
- Authors
- Xiong, X., Kuang, H., Ansari, S., Liu, T., Gong, J., Wang, S., Zhao, X.-Y., Ji, Y., Li, C., Guo, L., Zhou, L., Chen, Z., Leon-Mimila, P., Chung, M. T., Kurabayashi, K., Opp, J., Campos-Pérez, F., Villamil-Ramírez, H., Canizales-Quinteros, S., Lyons, R., Lumeng, C. N., Zhou, B., Qi, L., Huertas-Vazquez, A., Lusis, A. J., Xu, X. Z. S., Li, S., Yu, Y., Li, J. Z., & Lin, J. D.
- Affiliations
- Shanghai Medical College of Fudan University (CN)
- University of Michigan (US)
- The University of Texas Southwestern Medical Center (US)
- University of Connecticut (US)
- University of California, Los Angeles (US)
- Corresponding author
- Lin, Jiandie D.
- ORCID
- Venue
- Molecular Cell
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 75
- Issue
- 3
- Pages
- 644-660.e5
- ISSN
- 1097-2765 (ISSN-L)
- PMC
- PMC7262680
- OpenAlex
- W2968872536
- Cited by
- 784
- References
- 62
- Citations by year
- 2026: 96 · 2025: 123 · 2024: 114 · 2023: 130 · 2022: 123 · 2021: 112 · 2020: 74 · 2019: 10 · 2012: 1
- FWCI
- 50.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Molecular Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Foundation for the National Institutes of Health
- Welch Foundation
- Topics
- Health Sciences › Medicine › Hepatology › Liver physiology and pathology
- Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- nonalcoholic steatohepatitis, cell-cell crosstalk, non-parenchymal liver cells, TREM2, hepatic stellate cells, vascular signaling, ligand-receptor signaling, liver disease severity
- MeSH terms
- Animals, Cell Communication, Disease Models, Animal, Humans, Ligands, Liver, Macrophages, Signal Transduction, Sequence Analysis, RNA, Mice, Hepatic Stellate Cells, Single-Cell Analysis, Cellular Reprogramming, Non-alcoholic Fatty Liver Disease
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