Keywords
Hepatic fibrosis, Inflammation, Hepatic steatosis, Stellate cell proliferation, Retinoic acid
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1. Introduction
Metabolic-Associated Steatotic Liver Disease (MASLD), form erly termed non-alcoholic fatty liver
disease, currently represents the most common cause of chronic liver disease worldwide [1]. MASLD spans
a broad spectrum of metabolic disease with hepatic fibrosis defining its most aggressive form, Metabolic -
Associated Steatohepatitis (MASH), together with inflammation, hepatocyte damage, and apoptosis.
Hepatic fibrosis is on the rise and currently constitutes a leading etiology in patients with MASH, partly
because of limited targeted therapy [2; 3] . This necessitates the need for further studies exploring its
molecular and cellular basis.
Histologically, hepatic fibrosis in patients with MASH is characterized by early lesions of perisinusoidal
collagen deposition, followed by portal and eventually , bridging fibrosis [4]. It implicates the activation of
hepatic stellate cells (HSCs) located in the Space of Disse between liver sinusoidal endothelial cells (LSECs)
and hepatocytes . HSCs represent approximately 10% of resident liver cells . In healthy liver, PPAR
activation maintains HSCs quiescent and containing large lipid droplets filled with vitamin A as retinyl esters
(RE), triacylglycerols (TG) and cholesteryl esters (CE) [5]. Following transdifferentiation into proliferative,
contractile, inflammatory myofibroblasts with enhanced extracellular matrix ( ECM) production, HSCs lose
their retinoid content [6]. This is associated with reduced PPAR and reciprocal elevation in the level of
PPAR [7; 8], which could be activated by all trans-retinoic acid [9] and PUFA [10] to increase HSCs
proliferation via inducing the p38 and JNK MAPK pathways [8]. Further studies are needed to fully identify
the factors that cause HSCs activation [11].
Virtually every liver cell contributes to HSCs activation, and they all express the Carcinoembryonic
Antigen-related Cell Adhesion Molecule 1 (CEACAM1), with a dominant expression in hepatocytes where it
promotes insulin clearance. Depletion of Ceacam1 gene globally [12] or exclusively in hepatocytes [13],
causes chronic hyperinsulinemia, emanating chiefly from reduced insulin clearance, followed by hepatic
insulin resistance, steatohepatitis and visceral obesity. It also provokes HSCs activation and a characteristic
MASH-like fibrosis [14; 15]. Fed a high-fat diet, mice lacking CEACAM1 in hepatocytes develop advanced
hepatocellular injury accompanied by chicken-wire fibrosis and apoptosis [14; 16]. Reciprocally, liver-specific
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rescuing of CEACAM1 reverses metabolic dysregulation and hepatic fibrosis in global Cc1–/– null mice [14].
In contrast, CEACAM1 loss in endothelial cells promotes hepatic fibrosis, driven by increased production of
endothelin1, without insulin resistance or hepatic steatosis [17]. Consistent with these data in genetically-
modified mice, patients with MASH exhibit a progressive loss of CEACAM1 in liver [15] and particularly in
LSECs [17] as the disease advances.
CEACAM1 is also expressed in pericytes [18], including HSCs [19]. Herein we investigated
whether its loss of CEACAM1 in HSCs induces their activation and sought to uncover underlying
mechanisms.
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2. Materials and methods
2.1. Generation and metabolic phenotyping of LratCre+Cc1fl/fl mice
As detailed in Supplemental data, Cc1loxp/loxp mice were crossed with LratCre transgenic mice
expressing a Cre recombinase driven by mouse lecithin-retinol acyltransferase (Lrat) promoter [20]. Stellate
cell-specific deletion of Ceacam1 in C57BL/6Jxhomozygotes ( LratCre+Cc1fl/fl) was confirmed by PCR
reaction using gene-specific primers (Fig. S1). As littermate controls, this study used homozygotes of wild-
type Ceacam1 allele with (LratCre+Cc1+/+) or without Cre (LratCre–Cc1+/+), and homozygotes of Ceacam1-
floxed allele without Cre (LratCre–Cc1fl/fl) to rule out potential confounding effects of floxing and introducing
Cre recombinase.
Per institutiona lly approved protocols, a nimals were housed in a 12 -h dark -light cycle and fed
standard chow ad libitum. Male mice were kept in cages with Alpha-dri bedding before undergoing metabolic
phenotyping [intraperitoneal (IP) glucose and insulin tolerance tests -GTT and ITT, respectively]. Following
recovery, mice were fasted for 18hrs, anesthetized with an IP injection of pentobarbital (1.1mg/kg BW), and
their retro-orbital venous blood was drawn and tissues extracted for biochemical evaluation (Supplemental
data).
2.2. Liver histology and immunohistochemical analysis
As detailed in Supplemental data, fixed liver sections were stained with hematoxylin-eosin (H&E)
or with 0.1% Sirius Red stain to evaluate hepatic fibrosis. Images were taken using Nikon Eclipse 90i
Microscope and 10 randomly selected high power fields (20X) per sample were imaged with ImageJ
(v1.53t) to quantify Sirius Red stain as %area [17].
For immunohistochemical (IHC) analysis, liver sections underwent antigen-retrieval, blocking with
rabbit or mouse serum, stained overnight at 4°C with specific antibodies, blotted with species-specific
biotinylated secondary antibodies before being hematoxylin-counterstained [17]. Images were taken using
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Nikon Eclipse 90i Microscope and evaluated blindly to count positively stained cells in 5 fields/mouse at
40X magnification.
2.3. Isolating HSCs from human subjects
Human HSCs were isolated , as described [21]. Briefly, dissociated parenchymal cells were
suspended in 2mM EDTA buffer containing 5%FBS (Gibco) for 30min in the presence of anti-CD32 (Abcam,
Cambridge, MA) and anti-CD45 (BD Biosciences, San Jose, CA). Quiescent HSCs (qHSCs) were sorted as
CD32-CD45-UV+ cells using FASCAria (BD Biosciences). Activated HSC s (aHSCs) were obtained by
plating qHSCs in DMEM (Gibco) supplemented with 20% FBS, 20ng/mL epidermal growth factor (EGF) and
10ng/mL fibroblast growth factor 2 (Peprotech, London, UK) , 100μM oleic acid , 100μM palmitic acid, and
5μM retinol (Sigma-Aldrich). RNA was isolated using RNeasy Micro Kit (Qiagen GmbH, Hilden, Germany).
RNA samples were amplified using the Ovation Pico WTA system V2 (Tecan Genomics, San Carlos, CA).
2.4. Media transfer experiments in primary murine hepatic stellate cells
Primary HSCs were isolated from ≥8-month-old control LratCre–Cc1fl/fl (recipient cells) and mutant
mice LratCre+Cc1fl/fl (donor cells) [22]. Cells were cultured in 12-well-plates for 5 days. LratCre+Cc1fl/fl
donor cells were washed twice and incubated in phenol red-free DMEM before treating with 500µM
nicotinic acid (NA) (Sigma-Aldrich) or buffer alone for 24hrs. Media were collected, centrifuged at 380g for
3min to remove cell debris and the “conditioned media” were transferred to the twice-washed LratCre–
Cc1fl/fl recipient HSCs. 24hrs later, cells were lysed for mRNA analysis (see below). In some experiments,
10µM Gefitinib (Sigma-Aldrich), an EGFR tyrosine kinase inhibitor [23], or dimethyl sulfoxide (DMSO-
vehicle) were added to recipient cells for additional 24hrs before cell lysis. Media levels of free glycerol
(Glycerol Assay Kit MAK117-1KT, Sigma-Aldrich), interleukin-6 (ELISA Kit, ab222503, Abcam) and TNF
(ELISA Kit, ab100747, Abcam) were determined per manufacturer instructions [17].
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2.5. Experiments with LX2 cells with stable downregulation of human CEACAM1 expression
The immortalized human hepatic stellate LX2 cell line was infected with a human CEACAM1 shRNA
lentiviral construct to establish a KD line with stable knockdown of hCEACAM1 and scramble control (Scr),
as detailed in Supplemental data. KD-LX2 and Scr-LX2 cells were treated with DMSO, 5μM retinoic acid
and/or 1μM Rosiglitazone (Sigma-Aldrich) for 24hrs before cell lysis and qRT-PCR analysis [16].
For lipid analysis, KD-LX2 and Scr-LX2 cells were seeded in 6-well-plates (4x104 cells/well) for 48hrs
before being stained with Nile Red (Sigma-Aldrich) and evaluated with densitometry by ImageJ software to
measure lipid content [24]. Media was collected to determine free glycerol levels using Glycerol Assay Kit
(BioVision, Milpitas, CA) [24].
Media transfer from KD-LX2 to Scr-LX2 controls was performed as above and levels of free
glycerol (MAK117-1KT, Sigma-Aldrich), interleukin-6 (ELISA-ab 178018, Abcam) and TNF (ELISA-
ab181421, Abcam) were determined per manufacturer instructions.
Cell growth was determined by MTT assay (Sigma-Aldrich) and absorbance read at 570nm in 96-
well plates. Cell growth was calculated as percent of growth in the presence of effector minus basal growth
divided by maximum growth in complete medium.
2.6. Immunoprecipitation and Western blot analysis
As previously described [17], c ells were Triton-lysed and subjected to SDS -PAGE followed by
Western blot analysis using antibodies as listed in Supplemental data. Proteins were detected by
chemiluminescence, scanned and their density normalized against tubulin (Cell Signaling) or the total
amount of proteins of the signaling molecule applied on parallel gels.
For immunoprecipitation, 100µg of protein lysates were precleared with 20µl mixture of protein G
and A sepharose beads (Invitrogen, Carlsbad, CA) at 40C for 2hrs. Proteins were immunoprecipitated from
the precleared lysates by incubation with 2µg of their specific antibodies overnight at 40C, centrifuged and
analyzed by SDS-PAGE and Western blot analysis.
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2.7. Quantitative real-time-PCR (qRT-PCR)
Total RNA was isolated with PerfectPure RNA Tissue Kit (Fisher Scientific, Waltham, MA). cDNA was
synthesized by iScript cDNA Synthesis Kit (Bio-Rad), using 1μg of total RNA and oligodT primers (Table S1).
cDNA was evaluated with qRT-PCR (StepOne Plus, Applied Biosystems, Foster City, CA), and mRNA was
normalized to GAPDH, unless otherwise mentioned.
2.8. Statistical analysis
Data were analyzed using one-way ANOVA analysis with Bonferroni correction or two-tailed Student-
t-test using GraphPad Prism 6 software. Data were presented as means±SEM. P<0.05 was considered
statistically significant.
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3. Results
3.1. CEACAM1 expression is induced by rosiglitazone and retinoic acid
Rosiglitazone (Ro) elevated CEACAM1 mRNA levels by ~2-to-3–fold in human LX2 HSCs (Fig.
1A). This likely stems from the transcriptional activation of Ceacam1 promoter by the binding of liganded
PPAR to the functional and well-conserved PPAR response element/retinoic acid receptor recognition
site (PPRE/RXR) between nts–557 and –543 in Ceacam1 promoter [25]. A similar effect was exerted by
retinoic acid (RA) either alone or combined with rosiglitazone (Fig. 1A). This resulted from the
transcriptional activation by RA, as tested by a luciferase reporter assay in human HepG2 cells transfected
with mouse Ceacam1 promoter [25] (Fig. 1B). As shown, Ro and RA induced the luciferase activity of
PPREx3TK-Luc and PGL3-RARE-Luc (positive controls for Ro and RA, respectively) and of the mouse
Ceacam1 promoter (–1100pLuc), individually or combined, without affecting that of the empty vector
(PGL4.10) [Fig. 1B, *P<0.05 versus vehicle-treated (–)]. Mutating the PPRE/RXR sequence (–∆2), PPRE
(–∆PPRE) or RXR (–∆RXR) abolished the positive effect of Ro and RA on Ceacam1 promoter activity.
3.2. Loss of CEACAM1 activates human LX2 stellate cells
Activated primary human HSCs (aHSCs) exhibited lower (by >80%) CEACAM1 mRNA levels
relative to quiescent cells (qHSCs) (Fig. 1C). To test whether CEACAM1 loss mediated HSC activation,
we examined whether lentiviral shRNA-mediated repression of CEACAM1 by >90% (Fig. 2A.i and ii) could
activate LX2-HSCs. Consistent with the loss of lipid content during HSC activation [26-28], knocking down
CEACAM1 markedly reduced Nile red-stained fat-laden droplets relative to scrambled controls (Fig. 2B.i
KD vs Scr in the graphical presentation of densitometry analysis). The lost cellular fat was recovered as
free glycerol in the KD-LX2 culture media (Fig. 2B.ii). As predicted based on the known features of HSC
activation, KD-LX2 cells exhibited reduced retinyl ester (RE) synthesis, as assessed by lower mRNA
levels of enzymes catalyzing RE synthesis [lecithin-retinol acyltransferase (LRAT)] and lipolysis [lysosomal
acid lipase-LAL (LIPA) [29]] (Fig. 2B.iii). Reciprocally, they manifested elevated PUFA-triacylglycerol
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(PUFA-TG) synthesis [27], as suggested by their higher ratio of the mRNA of PUFA-specific fatty acid-CoA
synthase 4/non-specific ACSL1 (ACSL4)/ACSL1 [30], and their two-to-threefold higher mRNA levels of
lipogenic genes such as SREBP-1c and fatty acid synthase (FASN), DGAT1 (the last enzyme in TG
synthesis) and ATGL (TG lipase).
Activated HSCs undergo proliferation and resist apoptosis [26; 31]. Consistently, knocking down
CEACAM1 markedly increased LX2 proliferation, as assessed by MTT assay (Fig. 2C.i). It also led to ~2-
fold higher mRNA levels of -smooth muscle actin (-SMA or ACTA2) and COL11, markers of
mesenchymal cell activation (myofibroblastic transformation) [26] (Fig. 2C.ii). The latter could result from
increased activation of TGF canonical signaling pathway, as assessed by Western blot analysis of
phosphorylated Smad2/3 (Fig. 2D). This demonstrated that CEACAM1 loss activated KD-LX2 cells.
3.3. Delineating the mechanism underlying LX2 activation by CEACAM1 deletion
Following phosphorylation by epidermal growth factor (EGFR) and insulin (IR) receptors,
CEACAM1 sequesters Shc and reduces its coupling to the receptors to suppress downstream Shc/MAPK-
mediated cell growth and proliferation pathways [32; 33]. Consistently, insulin (100 nM) treatment for 5 min
stimulated IR and MAPK phosphorylation in both groups of cells (Fig. S2B-C, + vs – insulin), and induced
their proliferation, as assessed by MTT assay (Fig. S2D, + vs – insulin). In the absence of insulin, KD-LX2
cells manifested a higher basal phosphorylation of MAPK, but not IR (Fig. S2B-C), in parallel to higher
cell growth relative to their Scr-LX2 controls (Fig. S2D). This suggests that an IR-independent pathway
was implicated in KD-LX2 basal activation.
Because lipolysis-derived FAs activate EGFR [33], which contributes to HSC activation [34], we
then examined whether the FAs released from KD-LX2 cells [and captured as free glycerol in their media
(Fig. 3A.i, black vs white bar)], could activate EGFR pathways to induce HSC myofibroblastic
transformation. As Fig. 3B.i shows, incubating Src-LX2 in the conditioned media of KD-LX2 cells
(Scr/Cond) markedly reduced CEACAM1 (CC1) mRNA levels (~75%) (grey vs white bar; P<0.05). This
likely resulted from increased PPAR expression (Fig. 3B.ii) and its activation by the released FAs.
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Consistently, blocking lipolysis by nicotinic acid (NA) normalized FAs content in KD-LX2 media (Fig. 3A.i,
diagonally hatched vs white and vertically-hatched bars) and subsequently, restored CEACAM1 mRNA
levels in Scr/Cond (Figs. 3B.i, horizontally hatched vs vertically hatched bar).
Western blot analysis revealed higher EGFR phosphorylation in KD and Src/Cond cells in the
absence of NA (Fig. 3C.i, – lanes 1 and 5 vs lane 3), but not in its presence (Fig. 3C.i, + vs – lanes/cell
group). This demonstrated that EGFR was activated in response to FA-containing conditioned media.
Consistent with reduced CEACAM1 level, CEACAM1/Shc binding was lower in Scr/Cond than Scr cells,
as demonstrated by its repressed detection in the Shc immunopellet (Fig. 3C.ii, – lane 5 in Scr/Cond vs –
lane 3 in Scr). This led to a reciprocal recovery of Shc in the EGFR immunopellet of Scr/Cond relative to
Scr cells (Fig. 3C.iii, – lane 5 in Scr/Cond vs – lane 3 in Scr), and activation of downstream MAPK
pathways (Fig. 3C.iv, – lane 5 in Scr/Cond vs – lane 3 in Scr) and NF-kB (Fig. 3C.v, – lane 5 in Scr/Cond
vs – lane 3 in Scr). This induced cell proliferation, as assessed by elevated PCNA protein levels (Fig.
3C.vi, – lane 5 in Scr/Cond vs – lane 3 in Scr) and MTT assay (Fig. 3B.v, grey vs white bar). Additionally,
PPAR1 mRNA levels were lowered in Scr/Cond-LX2 cells (Fig. 3B.iii, grey vs white bar), as expected
during HSC activation and in contrast to the rise in PPAR levels [35], which was likely activated by the
excess FAs produced in KD-LX2 and Src/Cond-LX2 cells (Table S2). Consistent with increased
myofibroblastic transformation, ACTA2 mRNA levels were induced by ~two-to-threefold in KD and
Scr/Cond LX2 cells (Fig. 3B.iv, grey and black vs white bar). Reversal of these processes in Scr/Cond
cells by NA treatment (+ vs – lanes in Scr/Cond) further supported a role for FAs release from activated
KD-LX2 in the autocrine activation of EGFR-Shc-MAPK to increase HSCs proliferation and activation.
Interleukin-6 (IL-6), a transcriptional target of NF-B, was also elevated in KD media (Fig. 3Aii,
black vs white bar). Consistent with the anti-inflammatory effect of NA [36] and its inhibition of IL-6
production [37], NA treatment reversed IL-6 level in KD media (Fig. 3Aii, + vs – lane) without affecting that
of TNF (Fig. 3Aiii, + vs – lane). Because IL-6 transactivates EGFR [38], we then tested whether the rise
in IL-6 contributed to EGFR basal activation in KD-LX2 and Scr/Cond-LX2 cells. To this aim, we carried
out media transfer experiments in the absence and presence of Gefitinib, an EGFR tyrosine kinase
inhibitor [23]. As Fig. 4A shows, Gefitinib inhibited EGFR phosphorylation in KD-LX2 and Scr/Cond-LX2
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cells (+ vs – lanes). In parallel, it reduced PPAR (Fig. 4B) and reciprocally induced PPAR1 mRNA
levels in these cells (Fig. 4C, horizontally-hatched vs grey bar in Scr/Cond-LX2 and diagonally-hatched vs
black bar in KD-LX2 cells) to stimulate their CEACAM1 mRNA levels (Fig. 4D). This was associated with
the ability of Gefitinib to prevent Scr/Cond-LX2 activation, as demonstrated by reduction and normalization
of ACTA2 mRNA levels (Fig. 4E) and their cell proliferation (Fig. 4F, + vs – lanes).
3.4. Activation of primary HSCs from Cc1–/– null mice
In support of HSCs activation when their CEACAM1 is absent, primary HSCs from global Cc1–/–
nulls exhibited higher mRNA levels of Ppar, Pcna, and Acta2 than HSCs from wild-type mice (Table
S3). They also exhibited higher Srebp-1c and Fasn mRNA levels. Moreover, their media induced the
mRNA levels of these genes in wild-type HSCs (Table S3). NA treatment normalized these parameters in
HSCs from Cc1–/– and Cc1+/+/Cond cells (Table S3). This proposed that CEACAM1 loss in HSCs activated
them and caused their myofibroblastic transformation to contribute to hepatic fibrosis in Cc1–/– nulls [14].
3.5. LratCre+Cc1fl/fl mice with conditional deletion of Ceacam1 in HSCs are insulin sensitive
Because Ceacam1 loss in endothelial cells and hepatocytes could also contribute to hepatic
fibrosis in Cc1–/– nulls [14], we then assessed the effect of deleting Ceacam1 exclusively from HSCs on
hepatic fibrosis. To this end, we generated LratCre+Cc1fl/fl mice with conditional deletion of Ceacam1 in
HSCs, as demonstrated by their intact Ceacam1 expression in bone marrow macrophages, hepatocytes
and endothelial cells (liver and heart) (Fig. 5A). These mice exhibited normal body weight, visceral fat
mass, plasma NEFA and triacylglycerol levels (Table 1). LratCre+Cc1fl/fl mice exhibited normal hepatic
insulin clearance (steady-state C-peptide/insulin molar ratio) and normo-insulinemia relative to their control
counterparts (Table 1). They also showed normal tolerance to exogenous glucose and insulin (Fig. 5B and
5C, respectively), with normal fasting and fed blood glucose levels (Table 1). Consistent with normo-
insulinemia, hepatic triacylglycerol levels were normal (Table 1) and H&E stain did not detect lipid droplet
deposition in liver sections (Fig. 5D.d). Moreover, the mRNA levels of genes involved in fatty acid transport
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(CD36 translocase) and lipogenesis [Srebp-1c, and fatty acid synthase (Fasn)] were normal (Table S4).
Together, this demonstrated that conditional Ceacam1 deletion from HSCs did not cause insulin resistance
or hepatic steatosis, consistent with intact expression of CEACAM1 in hepatocytes.
3.6. Increased inflammation in LratCre+Cc1fl/fl livers
H&E stai ning indicated diffused mononuclear inflammatory foci in the liver parenchyma of
LratCre+Cc1fl/fl mutants without ballooning or altered hepatocellular architecture starting at 10 months of
age [Fig. 5D.d (and graph) vs Fig. S3A.d from 8-month-old mice].
Immunohistochemical (IHC) analysis revealed increased macrophage recruitment (CD68) and
activation (M ac2) [Fig. 6A.i-ii (and graphs), panels d vs a-c, respectively ]. It also showed elevated
immunostained myeloperoxidase (MPO) levels [Fig. 6A.iii (and graph), panel d vs a-c], which together with
increased mRNA of MPO and elastase (Table S4), demonstrated an increase in neutrophil accumulation in
the liver parenchyma of mutant livers. In addition to MPO, a granulocyte-specific transcription factor (STAT3)
was activated (phosphorylated) at 10 months (Fig. 6B), but not at 8 months of age (Fig. S3B) . This likely
resulted from the ~2-to-3-fold concomitant rise in hepatic IL-6 production (Fig. 6C vs Fig. S3C) and in the
plasma levels of this pro-inflammatory cytokine (Fig. 6D).
Consistent with IL-6 as a transcriptional target of NF-B, the p65(NF-B) subunit was basally
activated (phosphorylated) in the livers of 10-month-old (Fig. 6B), but not 8-month-old (Fig. S3B)
LratCre+Cc1fl/fl mutants. This likely resulted from reduced Shc sequestration in the absence of Ceacam1
and the reciprocal increase in its coupling to EGFR [33]. In addition to IL-6, activated p65(NF-B) could
induce Mcp-1/Ccl2 transcription [39], as shown in Fig. 6C, to recruit monocytes/macrophages into active
inflammatory foci in mutant livers. Together with IL-6, Ccl2 could induce CD11b+ macrophage pool (Fig.
6C) and its differentiation toward the M2 type [40; 41], which is partly mediated by elevated levels of IL-
4/IL-13 type 2 cytokines (Fig. 6C). Together with no increase in the mRNA levels of Th1-derived cytokine
IFN (Fig. 6C) or in plasma TNF levels (Fig. 6D), this points to the mounting of an M2 response in mutant
livers, mediated partly by sustained IL-6/STAT3 phosphorylation [42]. In contrast to macrophages, IHC
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(Fig. 6A.iv-v) and qRT-PCR (Table S4) analyses revealed no significant increase in pro-inflammatory
CD4+T and CD8+T lymphocytes. Moreover, there was no increase in the anti-inflammatory Treg
immunostain (Foxp3) (Fig. 6A.vi), or in hepatic IL-10 expression (Table S4). Thus, liver injury in
LratCre+Cc1fl/fl mice was associated with a Th2 response marked by elevated IL-4/IL-13 secretion by
hepatic lymphocytes that could activate infiltrated myeloid cells (macrophages and neutrophils) to induce
their M2 genes expression.
3.7. Spontaneous fibrosis in LratCre+Cc1fl/fl livers
Because activated hepatic macrophages could initiate and maintain the myofibroblastic
transformation of HSCs [41], we then tested whether LratCre+Cc1fl/fl mice developed hepatic fibrosis. Based
on Sirius Red staining, LratCre+Cc1fl/fl, but not their controls, develop ed an extensive interstitial chicken -
wire pattern of collagen deposition starting at 10 months of age (Fig. 7A.d vs a-c, and vs Fig. S4A.d at 8
months). Consistently, the mRNA levels of pro-fibrogenic genes ( Acta2, Col11, Col31, and Tgf) were
induced in the livers of 10 -month-old (Fig. 7B.i), but not 8 -month-old (Fig. S4B) mutants. Hepatic fibrosis
could be mediated by the activation of the canonical TGF –SMAD2/3 profibrogenic pathway , as
demonstrated by SMAD2 phosphorylation (Fig. 7C) with no change in the expression of its inhibitor, Smad7
(Fig. 7B).
Activated HSCs modulate the extracellular matrix (ECM) composition, mediated by MAPK, NF-B
and TGF-SMAD2/3 pathways. This involves the regulation of the expression of the matrix
metalloproteinases (MMPs) and the tissue inhibitor of metalloproteinases (TIMPs) that are implicated in
the production as well as the resolution of excess collagen and other ECM components. Consistently, 10-
month-old LratCre+Cc1fl/fl livers displayed higher mRNA (Fig. 7B.i) and protein levels (Fig. 7C) of MMP9,
MMP13 and TIMP1 relative to controls. They also exhibited a ~2-fold increase in the mRNA levels of
hepatic Mmp 2, Timp 2 and Timp 3 (Fig. 7B.i). Whereas MMP9, TIMP1 and TIMP2 are pro-fibrogenic,
MMP2 and TIMP3 block fibroblastic activation and increase collagen clearance [43]. MMP13 can promote
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collagen production as well as its clearance [43]. This demonstrated that the loss of CEACAM1 in HSCs
regulated ECM formation by a complex of MMPs and TIMPs favoring hepatic fibrosis.
Coupled with oxidative stress, TGF signaling could cause hepatocellular injury [44]. Consistently,
mutant livers manifested higher mRNA levels of genes implicated in oxidative stress (Nox1 and Nox4) (Table
S4) and hepatocytes injury ( Txn, Nqo, Nrf1 and Hgf) ( Fig. 7B.ii ). This could drive liver dysfunction, as
determined by higher plasma alanine transaminase (ALT) and aspartate aminotransferase (AST) content in
10-month-old but not 8-month-old mutants as compared to control mice (Fig. 7D).
3.8. Conditioned media from LratCre+Cc1fl/fl HSCs activates wild-type HSCs via an EGFR -mediated
mechanism
As above, NA treatment blocked the release of FAs as glycerol (Fig. 8A.i, + vs – lane) and IL-6 (Fig.
8A.ii, + vs – lane) into the media of LratCre+Cc1fl/fl HSCs (KO). Thus, we next examined whether media
from KO-HSCs (KO-Med) could activate wild -type (WT) HSCs and whether this could be blocked by NA
treatment. As Fig. 8B.i shows, incubating WT -HSCs with KO -Med (WT/KO-Med) repressed Ceacam1
expression by ~65% relative to WT-HSCs incubated in regular culture media (Reg -Med) (– lanes, grey vs
white bar ). This likely result ed from increased Ppar and reduced Ppar1 expression (Fig. 8B.ii-iii,
respectively, – lanes, grey vs white bars).
This reciprocal change in Ppar and Ppar1 expression, together with higher expression of
Acta2 (Fig. 8B.iv) and Pcna (Fig. 8B.v) in WT/KO -Med than WT/Reg -Med cells (grey vs white bars)
demonstrated a higher myofibroblastic activation and proliferation of WT/KO-Med than WT/Reg-Med cells.
Furthermore, NA treatment reversed these changes in Ppar Ppar1, Acta2 and Pcna mRNA levels in
parallel to restoring Ceacam1 expression in WT/KO-Med (Fig. 8B.i-vi, + vs – bars, horizontal vs vertical
bars). Gefitinib had a similar effect on the mRNA of these genes in WT/KO-Med (Fig. 8B.vii-x, + vs – bars,
horizontal vs vertical bars).
PPAR are activated by the FAs that are released from LratCre+Cc1fl/fl HSCs. As Table S5 shows,
these KO-HSCs exhibited reduced RE synthesis with a reciprocal increase in PUFA -TG, as assessed by
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the 2-to-4–fold reduction in the mRNA levels of Lrat and Lal/Lipa, with the reciprocal ~12-fold increase in
Acsl4/Acsl1 and the ~4-to-6–fold increase in the mRNA levels of Dgat1 and Atgl (Table S5). It is likely that
the increase in FAs release activated PPAR to reduce Ceacam1 expression in WT/KO-Med. This would
lower Shc sequestration and elevate its reciprocal coupling with EGFR to activate downstream pro-
fibrogenic and proliferation pathways (increased Acta2 and Pcna, respectively). Reversal of these changes
in lipid metabolism in WT/KO-Med by Gefitinib further demonstrated that EGFR activation mediated the
myofibroblastic transformation of HSCs by Ceacam1 loss.
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4. Discussion
The current study demonstrated that CEACAM1’s expression in cultured human LX2-HSCs is
supported by autocrine PPAR and retinoic acid transcriptional upregulation, and that activation of primary
human HSCs significantly repressed CEACAM1 expression. On the other hand, loss of CEACAM1 in LX2
and primary murine HSCs activated them. This was manifested by reduced PPAR1 and retinoic acid
levels with reciprocal elevation in PPAR and PUFA-TG content, respectively. Because CEACAM1
inhibits FASN activity under normo-insulinemic conditions [45], suppressing Ceacam1 transcription by
PPAR [25] (and by the loss of PPAR), likely mediated the increase in TG synthesis in mutant HSCs. In
light of the anti-lipogenic and anti-fibrogenic effect of FASN inhibitors [46], the current data propose a key
role for HSCs’ CEACAM1 in preventing hepatic fibrosis.
CEACAM1 expression is highest in hepatocytes. Its deletion in these cells impaired hepatic insulin
clearance to cause hyperinsulinemia-driven insulin resistance, de novo lipogenesis and inflammation [15].
It also caused hepatic fibrosis, whereas hepatocytes-specific rescuing of CEACAM1 reversed steatosis
and fibrosis in parallel to restoring insulin sensitivity in Cc1–/– null mice. This points to a key role for
hyperinsulinemia-driven steatosis in hepatic fibrosis caused by CEACAM1 loss in hepatocytes [31]. In
contrast, Ceacam1 deletion from endothelial cells caused hepatic fibrosis in the absence of insulin
resistance and hepatic steatosis [17]. The phenotype was driven by hyperactivation of the vascular
endothelial growth factor (VEGFR)/NF-B pathway and increased synthesis of endothelin1 and of its pro-
fibrogenic signals via its receptor A in HSCs. Inflammation in this mutant preceded hepatic fibrosis and
implicated macrophage activation in addition to mounting a Th1 response by T lymphocytes.
Like its deletion from endothelial cells, specific deletion of Ceacam1 from HSCs caused hepatic
fibrosis in the absence of insulin resistance and hepatic steatosis. However, it occured concurrently to
inflammation and was mediated by activation of EGFR by PUFA and IL-6, a transcriptional target of NF-
kB. Sustained activation of the IL-6/STAT3 pathway could mediate the mounting of a Th2/M2 response in
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LratCre+Cc1fl/fl livers, as in Stat1 nulls that exhibited activation of the M2 macrophage pool without a
significant increase in pro-inflammatory T lymphocytes [47].
In addition to EGFR/NF-B pathway, the EGFR/MAPK proliferative pathway was also activated in
KD-LX2 HSCs devoid of CEACAM1. This resulted from the increased coupling of Shc to EGFR when its
reciprocal sequestration by CEACAM1 was absent [33], as with respect to VEGFR [48] and the insulin
receptor [32]. Thus, activation of NF-B and the MAPK pathways downstream of these growth factor
receptors constitutes a unifying mechanism underlying hepatic fibrosis when their shared substrate,
CEACAM1, is lost. This agrees with the reported PPAR-driven HSCs proliferation and hepatic fibrosis
via activation of the P38-JNK MAPK pathway in LX2 and murine HSCs [8].
EGFR is implicated in HSCs activation [34; 49] as demonstrated by the reversal of hepatic
fibrogenesis, hepatocyte proliferation and liver injury in experimental models of hepatic fibrosis by
inhibitors of EGFR tyrosine kinase activity [50; 51]. Yet, inhibiting EGFR phosphorylation to curb hepatic
fibrosis has not gained traction at the clinical setting. Instead, targeting inflammation and lipogenesis
constitutes the main current therapeutic approach, particularly at the early stages of the disease [2; 3].
This includes the use of a combinational therapy of PPAR agonists and incretins to retard/attenuate
hepatic fibrosis in patients with MASLD/MASH [52]. It is likely that the effectiveness of these drugs is
mediated, at least partly, by the transcriptional activation of CEACAM1 [16], which would in turn, counter
inflammation in immune cells [53] and lipogenesis in hepatocytes (by inhibiting FASN and limiting chronic
hyperinsulinemia).
We have previously shown that hepatic CEACAM1 expression is progressively reduced with
advancing fibrosis stages in patients with MASH [15]. Moreover, single cell RNA-sequencing showed
lower CEACAM1 expression in hepatocytes and LSECs of patients with fibrosis/cirrhosis [17]. The current
study demonstrated that activation of primary human HSCs repressed CEACAM1 expression and that
deleting CEACAM1 from immortalized human LX2 activated them. The observations in LratCre+Cc1fl/fl
mutants further emphasized the regulation of hepatic fibrosis by CEACAM1’s loss in HSCs, independently
of its paracrine role in hepatocytes and endothelial cells. The underlying mechanisms converge at the level
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of NF-B inflammation and MAPK proliferation pathways downstream of EGFR in HSCs (and in
hepatocytes at the basal state) and of VEGFR in endothelial cells. Consistent with elevated serum IL-6
levels in patients with advanced hepatic fibrosis [54], loss of Ceacam1 in HSCs caused an elevation in
plasma IL-6 levels concurrently wth hepatic fibrosis in LratCre+Cc1fl/fl mutants. Together, this proposes that
inducing CEACAM1 expression could become an effective therapeutic approach to curb fibrosis, not only
in early stages of the disease, but also at a later stage.
In summary, the current report provides an in vivo demonstration of a novel mechanistic link
between a distinct CEACAM1/EGFR/NF-B signaling module in murine HSCs and hepatic fibrosis, an
advanced component of MASH. This was supported by studies in human LX2 HSCs demonstrating an
autocrine regulation of hepatic fibrosis by the loss of CEACAM1 in stellate cells. Further analysis is
required to translate our observations to MASH pathogenesis in humans.
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Credit authorship Contribution statement
H.T.M., H.E.G., S.A., S.G.L., S.V., H.L.S., S.Z., R.A., and G.D.B. researched data. H.T.M., H.E.G.,
and S.A.planned and organized experiments, collected and analyzed data, prepared the illustration and
drafted the manuscript. S.L.F., R.F.S., L.A.vG, and T.D.H. Jr discussed data and edited the manuscript.
S.M.N. conceived and oversaw the work, including its study design and data analysis, leading scientific
discussions and reviewing/editing the manuscript.
Declaration of competing interest
None declared.
Acknowledgments
S.M.N. is partly supported by the Osteopathic Heritage Foundation J.J.Kopchick Eminent Research
Chair.
Financial support
This work was supported by NIH grants: R01-HL112248, R01-DK054254, R01-DK124126 (to S.M.N),
R01-DK128289 (to S.L.F). S.V. is supported by FWO 1243121N, and L.A.vG. by FWO G071922N.
Data availability statement All data relevant to the study are included in the article/online supplemental
information
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Table 1
Plasma and tissue biochemistry in mice at 10 months of age.
LratCre–Cc1+/+ LratCre+Cc1+/+ LratCre–Cc1fl/fl LratCre+Cc1fl/fl
Body weight (g) 29.4 ± 2.2 26.7 ± 1.2 28.3 ± 1.7 28.5 ± 1.1
% WAT/BW 1.9 ± 0.9 1.6 ± 0.5 1.2 ± 0.4 1.2 ± 0.3
NEFA (mEq/l) 0.5 ± 0.1 0.6 ± 0.1 0.4 ± 0.1 0.5 ± 0.1
TG (mg/dl) 48.4 ± 8.9 50.4 ± 6.5 42.8 ± 13.2 43.4 ± 7.0
Insulin (pM) 80.5 ± 10.7 74.7 ± 4.7 73.7 ± 2.1 78.5 ± 7.0
C-peptide (pM) 198.6 ± 36.4 193.1 ± 36.7 177.9 ± 22.6 219.4 ± 45.6
C/I molar ratio 2.3 ± 0.3 2.6 ± 0.3 2.4 ± 0.3 2.9 ± 0.7
Fast Glucose (mg/dl) 67. ± 9. 60. ± 6. 71. ± 6. 64. ± 5.
Fed Glucose (mg/dl) 116. ± 7. 118. ± 4. 112. ± 6. 116. ± 9.
Hepatic TG (µg/mg) 58.7 ± 8.7 65.5 ± 9.2 59.1 ± 9.9 58.7 ± 15.2
Blood was drawn from m ale mice (10 months of age, n ≥5/genotype) at 2100 h to assess fed
glucoselevels. Following a recovery period of 3 days, mice were fasted overnight before blood
was drawn and tissues were excised at 1100h. Except of blood glucose levels, other values refer
to plasma levels, unless otherwise mentioned. Hepatic TG is measured as µg/mg protein. Values
are expressed as mean ± SEM. BW: Body weight; WAT: White adipose tissue; %WAT/BW:
visceral obesity; C/I: Steady -state C-peptide/Insulin molar ratio as a measure of hepatic insulin
clearance; NEFA: Non-esterified fatty acid; TG: Triacylglycerol.
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Figure legends
Fig. 1. Regulation of CEACAM1 transcription. (A) immortalized human hepatic stellate cells LX2 cells were
treated with DMSO ( –) (white bars), 1 μM Rosiglitazone (Ro) ( grey bars), 5 μM Retinoic Acid (RA) (black
bars), and Ro plus RA (hatched bars) for 24 hrs before being subjected to qRT-PCR analysis of CEACAM1
(CC1) mRNA levels. Data are expressed as mean ± SEM; * P<0.05 vs vehicle (–). (B) to analyze the
transcriptional regulation of Ceacam1 promoter activity in HepG2 , wild-type (nts −1100) mouse Ceacam1
promoter and block mutants (small letters) of the PPRE/RXRα site (nts –557 to –543) (–∆2); RXRα (–548
and –543) (–∆RXRα); or PPRE (nts –557 and -551) (–∆PPRE) were subcloned into pGL4.10 promoterless
plasmid. Luciferase activity was measured in triplicate in response to DMSO ( –, white), rosiglitazone (Ro,
grey), retinoic acid (RA, checkered) or rosiglitazone plus retinoic acid (Ro/RA, black). PPREx3-TK-luc and
PGL3-RARE-Luc were used as positive controls for PPRE and RXR, respectively. PGL4.10 empty vector
was used as a negative control. Luciferase light units are expressed as mean ± SEM in relative light uni ts.
*P<0.05 treatment versus vehicle. (C) CEACAM1 mRNA was evaluated in spontaneously activated (aHSCs)
(black bars) and quiescent (qHSCs) (white bars) primary human HSCs . Data are expressed as mean ±
SEM; * P<0.05 vs qHSCs.
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Fig. 2. Activation of LX2 human hepatic stellate cells by CEACAM1 deletion. (A) LX2 cells were subjected
to shRNA-mediated knockdown of CEACAM1 (KD) and (i) analyzed by qRT-PCR in triplicate to assess the
decrease in CEACAM1 mRNA in KD-LX2 (Black bars) versus Scr-LX2 scrambled control cells (white
bars). mRNA was normalized to GAPDH mRNA and data represented as mean ± SEM; * P<0.05 vs Scr-
LX2; (ii) CEACAM1 protein levels were assessed by immunoblotting (Ib) the upper half of the membrane
with -CEACAM1 (-CC1) antibody and the lower half with -tubulin to normalize per loaded proteins. (B)
to examine lipid metabolism, (i) cells were grown in at least 3 plates/stable line, stained with Nile Red to
depict fat (yellow) droplets. Fat stains were evaluated by densitometry and presented graphically as mean
± SEM; * P<0.05 vs Scr-LX2; (ii) free glycerol level was assayed in the media of the stained cells as a
measure of lipolysis. Experiments were done in triplicate. Data are expressed as mean ± SEM; * P<0.05
vs Scr-LX2; (iii) qRT-PCR mRNA analysis of genes implicated in lipid metabolism was performed in
triplicate. Values are expressed as mean ± SEM. *P< 0.05 vs Scr-LX2. (C) to assess LX2 activation, (i)
KD-LX2 and Scr-LX2 cells were subjected to MTT assay in triplicate. Data represent mean ± SEM;
*P<0.05 vs Scr-LX2; (ii) qRT-PCR analysis was performed in triplicate to assess ACTA2 and COL11
mRNA levels as markers of fibrogenic activity. Data represent mean ± SEM; * P<0.05 vs Scr-LX2. (D) to
examine TGF signaling, cell lysates were immunoblotted with -phosphoSmad2 or -phosphoSmad3
antibody (-pSmad) followed by re-immunoblotting (re-Ib) with -Smad 2 or -Smad 3 antibodies,
respectively, for normalization.
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Fig. 3. Scr-LX2 activation by conditioned media from KD -LX2 cells . Src -LX2 and KD-LX2 cells were
incubated with nicotinic acid ( NA) (+) or with vehicle (–) for 24 hr s before (A) media were collected and
assayed for glycerol (captured lipolysis-derived fatty acids) (i), IL-6 (ii) and TNF (iii) levels. Data represent
mean ± SEM; *P<0.05, KD-LX2 vs Scr-LX2 cells/treatment type; †p<0.05, NA-treated vs untreated/cell line.
(B) media of KD-LX2 cells (conditioned media) were transferred to pre-washed Scr group (Scr/Cond) before
cells were harvested for qRT-PCR analysis of the mRNA of CC1, PPAR, PPAR1 and ACTA2 (Fig. 3B.i-
iv) and cell growth by MTT assay in triplicate and repeated twice (Fig. 2B.v). *P<0.05 untreated KD and
Scr/Cond vs untreated Scr-LX2 cells; †P<0.05 NA-treated vs untreated/cell line; §P<0.05 untreated Scr/Cond
vs untreated KD, and ¶P<0.05 NA-treated KD vs NA-treated Scr and NA-treated Scr/Cond cells. The latter
indicates that although NA treatment decreased the mRNA of PPAR and ACTA2 as well as cell growth,
it did not completely restore their values to those in Scr-LX2 controls, as it did in Scr/Cond cells. This is likely
due to persistent absence of CEACAM1 (and low PPAR1) with sustained TNF (iii) levels in these donor
KD-LX2 cells. (C) Western blot analysis of EGFR signaling in cells described above: liver l ysates were
subjected to immunoblotting (Ib) with antibodies against (i) phospho-EGFR (α-pEGFR), (iv) phospho-MAPK
(α-pMAPK), (v) phospho - NF-kB ( α-pNF-kB), and (vi) α-PCNA and in parallel gels, with their specific
antibodies for normalization. (ii) some lysates were subjected to immunoprecipitation (Ip) with Shc antibody
followed by immunoblotting (Ib) with antibodies against CEACAM1 ( α-CC1) and Shc (α-Shc). (iii) Lysates
were subjected to immunoprecipitation (Ip) with α-pEGFR antibody followed by immunoblotting (Ib) with α-
Shc and α-EGFR antibodies. Gels represent two separate experiments. The apparent molecular mass (kDa)
is indicated at the right hand-side of each gel.
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Fig. 4. EGFR-mediated myofibroblastic transformation of KD-LX2 cells. Src -LX2 and KD-LX2 cells were
incubated with Genitinib (10µM) or vehicle for 24 hr s. The conditioned media was collected from both
Genitinib-treated and untreated KD-LX2 cells, and the supernatant was collected and transferred to Src-LX2
and incubated for 24 hrs (Scr/Cond-LX2 cells). (A) lysates were analyzed by immunoblotting (Ib) with α-
pEGFR and α-EGFR for normalization to assess EGFR activation. Gel is representative of 2 different
experiments performed on 2 different sets of mice. (B-E) lysates were analyzed by qRT-PCR analysis in
triplicate to assess mRNA of PPAR, PPAR1, CC1, and ACTA2. (F) cells were grown in 96 well plates to
examine cell growth in triplicate by MTT assay (repeated twice). Values are expressed as mean ± SEM;
*P<0.05 untreated KD and Scr/Cond vs untreated Scr-LX2 cells; †P<0.05 NA-treated vs untreated/cell line;
§P<0.05 untreated Scr/Cond vs untreated KD, and ¶P<0.05 NA-treated KD vs NA-treated Scr and NA-treated
Scr/Cond cells.
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Fig. 5. Metabolic phenotyping of LratCre+Cc1fl/fl mice. (A) Primary cells were isolated from male mutants
and their littermate controls at 2-4 months of age except for HSCs which were isolated from mice at 8 months
of age (n=2-5/genotype). Ceacam1 mRNA levels were analyzed by qRT-PCR in triplicate and normalized to
18s. Values are expressed as mean ± SEM. (B-C) 10-month-old male mice (n≥ 7–8/genotype) were injected
intraperitoneally with insulin or glucose to assess glucose disposal in response to insulin (B) and glucose
(C). Values were expressed as mean ± SEM. (D) Livers were removed from 10-month-old Lrat+Cc1fl/fl male
mice and their 3 littermate controls (n=4 –5/genotype), sectioned and stained with H&E staining to identify
foci of inflammatory cell infiltrates in mutants (panel d) and their littermate controls (panels a-c). Values are
expressed as mean ± SEM in the accompanying inflammatory foci quantification graph. *P<0.05 mutants vs
the 3 littermate controls.
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Fig. 6. Increased inflammation in LratCre+Cc1fl/fl livers. (A) livers were removed from 10-month-old
LratCre+Cc1fl/fl mutants and their three controls (n=4-5 mice/genotype) and subjected to (A)
immunohistochemical (IHC) analysis with: (i) CD68 to assess macrophage recruitment, (ii) Mac-2 to
examine macrophage activation, (iii) MPO to evaluate neutrophil accumulation, CD4 (iv) and CD8 (v) to
immunostain T cells and (vi) Foxp3 to determine the anti-inflammatory Treg pool. Representative images
taken at 50 μm magnification are shown with insets at 20 μm. Values are expressed as mean ± SEM in the
accompanying quantification graph. *P<0.05 mutants (d) vs the 3 littermate controls (a-c). (B) liver lysates
were subjected to immunoblotting (Ib) with antibodies against the phosphorylated p65 subunit of NF-B (α-
pNF-kB), and α-pStat3. To normalize against added proteins, gels were analyzed by SDS gel
electrophoresis in parallel and proteins immunoblotted with specific antibodies. Representative gels
include 2 different mice/genotype. (C) liver lysates (n=6/each genotype) were analyzed in duplicate by
qRT-PCR using gene-specific primers and normalized to Gapdh. Values are expressed as mean ± SEM.
*P<0.05 vs all three controls. (D) Male mice (8 and 10 months of age, n≥6/genotype/age group) were
fasted overnight before blood was drawn at 1100 in the next morning and their plasma IL-6 and TNF
levels were analyzed. Values are expressed as mean ± SEM. *P<0.05 vs all three controls.
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Fig. 7. Spontaneous hepatic fibrosis in LratCre+Cc1fl/fl mice. Livers were removed from 10-month-old
Lrat+Cc1fl/fl male mice and their 3 littermate controls (n=4–5/genotype). (A) Sirius red staining revealed
increased deposition of interstitial chicken-wire pattern of collagen fibers in mutants (panel d) versus their
littermate controls (panels a-c). Values are expressed as mean ± SEM in the accompanying quantification
graph. *P<0.05 mutants vs the 3 littermate controls. (B) liver lysates (n=6/each genotype) were analyzed
in duplicate by qRT-PCR using gene-specific primers and normalized to Gapdh to assess mRNA levels of
genes involved in inflammation (i) and in hepatocytes injury (ii). Values are expressed as mean ± SEM.
*P<0.05 vs all three controls. (C) Western Blot analysis of liver lysates from LratCre+Cc1fl/fl male mice
(lanes 7-8) and their LratCre–Cc1+/+ (lanes 1–2), LratCre+Cc1+/+ (lanes 3-4) and LratCre–Cc1fl/fl (lanes 5–
6) controls. Phosphorylated Smad2 (α-pSmad2) normalized against α-Smad2. The protein levels of α-
MMP9, α-MMP13 and α-Timp1 were normalized against α-Tubulin. Gels represent two different
mice/genotype. The apparent molecular mass (kDa) is indicated at the right hand-side of each gel. (D)
Male mice (8 and 10 months of age, n≥6/genotype/age group) were fasted overnight before blood was
drawn at 1100 in the next morning and their plasma ALT and AST levels were analyzed. Values are
expressed as mean ± SEM. *P<0.05 vs all three controls.
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Fig. 8. EGFR-mediated a ctivation of LratCre+Cc1fl/fl HSCs. Primary HSCs were isolated from ≥8
LratCre+Cc1fl/fl mice (KO) and a combination of wild-type ( LratCre–Cc1+/+, LratCre+Cc1+/+ and LratCre–
Cc1fl/fl) mice (WT). They were treated with (+) or without (–) NA and the media were collected and combined.
(A) free glycerol (i), IL-6 (ii) and TNF (iii) levels were assayed in the media. Values are mean ± SEM.
*P<0.05 KO (–) vs WT (–); †P<0.05 NA-treated vs untreated/mouse group. (B) the conditioned KO-Med was
transferred to WT HSCs (WT/KO-Med) for 24 hrs, while a parallel set of WT-HSCs was incubated in regular
culture media (Reg-Med) and the mRNA levels were analyzed by qRT-PCR analysis. In some experiments,
conditioned media without NA were transferred to WT -HSCs and the cells were treated with or without
Gefinitib (vi-x). Cells were harvested for qRT-PCR analysis in triplicate of the mRNA levels of Ceacam1 (i,
vi), Ppar (ii, vii), Ppar (iii, viii), Acta2 (iv, ix) and Pcna (v, x). Values are expressed as mean ± SEM;
*P<0.05 untreated K O and WT/KO-Med vs WT/Reg-Med; †P<0.05 treated vs untreated/cell line; §P<0.05
untreated WT/KO-Med vs untreated K O, and ¶P<0.05 treated K O vs treated WT/Reg-Med and treated
WT/KO-Med cells.
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Supplemental Materials
1. Supplemental material and methods
1.1. Luciferase assay
As described [1; 2], human hepatocellular carcinoma cells (HepG2) were cultured overnight to
reach ∼60%‐70% confluence. Transfection was performed with promoter constructs and the pRL‐
thymidine kinase Renilla luciferase promoter (Promega) using Lipofectamine 2000 (Invitrogen).
Empty pGL4.10 vector was used as the negative control, pGL3-RARE-Luc (plasmid 13458;
Addgene Cambridge, MA) and PPREx3 -TK-Luc (Plasmid 1015; Addgene) were used as positive
controls for PPRE and RXR, respectively. 24 hrs post-transfection, cells were serum-starved before
being treated for 24 hrs with dimethyl sulfoxide (DMSO), 5 μM Retinoic Acid (Sigma-Aldrich Saint
Louis, MO) and/or 1 μM Rosiglitazone (Sigma -Aldrich Saint Louis, MO) . Luciferase activity was
assessed using the Dual-Luciferase Reporter Assay System (Promega).
1.2. Generation of human CEACAM1 shRNA lentiviral construct and treatment
The immortalized human hepatic stellate LX2 cells [initially characterized by the Friedman laboratory
[3]] were cultured in Dulbecco's Modified Eagle Medium (DMEM) High Glucose media (Gibco),
supplemented with 2% FBS, 1% penicillin/streptomycin and 1% L -Glutamine. The free Web -based tool
(http://www.genelink.com/sirna/shRNAi.asp) was used to design a putative siRNA against human
CEACAM1 (hCEACAM1) and to desig n oligonucleotides that encode a corresponding small hairpin RNA
(shRNA). Origene (Rockville, MD) constructed the shRNA plasmid with oligonucleotides:
TGAATCCATGCCATTCAATGTTGCAGAGG and the homologous 120 sequence. The hCEACAM1 shRNA
construct was co -transfected together with vectors expressing gag -pol, REV and VSV -G into 293FT cells
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(Invitrogen) to generate a third-generation lentiviral construct. Transfection was achieved by Lipofectamine
2000 (Invitrogen) using 100 ng total DNA per cm 2 of the growth plate or well. The supernatants were
harvested and the cell debris was removed by centrifugation at 2000g. The supernatant was used to infect
human LX2 stellate cells after addition of 5 ng/ml polybrene (Sigma -Aldrich) and to establish ShCC1 line
(KD) with stable downregulation of hCEACAM1 and scramble shRNA control (Scr). After 72 hrs, cells were
selected by puromycin resistance (Gibco).
For insulin treatment, KD-LX2 and Scr -LX2 were serum -starved with phenol -free DMEM (Gibco)
supplemented with 25 mM HEPES and 0.1%BSA for 16 hrs before being stimulated with or without 100 nM
Insulin (Sigma-Aldrich) for 5 min before they were collected for Western blotting.
In some experiments, KD-LX2 and Scr-LX2 cells were stimulated with and without 100 nM Insulin
(Sigma-Aldrich) for 24 hours and subjected to MTT assay (Sigma-Aldrich) and absorbance read at 570 nm
in 96-well plates. Cell growth was calculated as percent of growth in the presence of insulin minus basal
growth divided by maximum growth in complete medium [4].
1.3. Generation of LratCre+Cc1fl/fl mice
As in the conditional T cell-specific null mouse [5], the targeting Ceacam1 construct inserted a loxP-
neo cassette in intron 6 and a loxP fragment in intron 9, deleting a sequence that encodes the cytoplasmic
domain that is required for CEACAM1 phosphorylation by growth factor receptors [6; 7]. Cc1loxp/loxp mice
were crossed with LratCre transgenic mice expressing a Cre recombinase directed by mouse lecithin-retinol
acyltransferase [phosphatidylcholine -retinol-O-acyltransferase] (Lrat) promoter [8]. Heterozygotes were
backcrossed >6x with C57BL/6J mice (Jackson laboratory). Stellate cell -specific deletion of Ceacam1 in
homozygotes (LratCre+Cc1fl/fl or Lrat+Cc1fl/fl), was confirmed by PCR using gene-specific primers (Fig. S1).
As controls, we used homozygotes with wild -type Ceacam1 allele with ( LratCre+Cc1+/+; Lrat+Cc1+/+) or
without Cre ( LratCre–Cc1+/+; Lrat–Cc1+/+), and homozygotes with Ceacam1-floxed allele, without Cre
(LratCre–Cc1fl/fl; Lrat–Cc1+/+). Genotyping of offspring was done by PCR analysis of ear DNA: FLOX A +
FLOX B primers were used to detect the 383 bp wild -type allele (Cc1+/+), FLOX A + FLOX C detected the
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488 bp knockout-type allele (Cc1fl/fl). The LratCre reaction detected a 343 bp band in the LratCre+Cc1+/+ and
LratCre+Cc1fl/fl.
1.4. Glucose and insulin tolerance tests
As routinely done [9], male mice were kept in cages with Alpha -dri bedding (Shepherd Specialty
Papers) and fasted for 6 hrs before being injected intraperitoneally with either 1.5g/kg BW dextrose solution
(GTT or 0.75units/kg BW human regular insulin (Novo Nordisk, Princeton, NJ) (ITT) and their tail blood
glucose was measured at 0-120 min (GTT) or 0-180 post-injection (ITT).
1.5. Biochemical parameters
Following their move to Alpha-dri bedding (Shepherd Specialty Papers), mice were fasted overnight
for 18 hrs, anesthetized with an IP injection of pentobarbital (1.1mg/kg BW) at 1100h the next morning and
their venous blood drawn into heparinized micro -hematocrit capillary tubes (Catalog number 22 -362566,
Fisherbrand, Waltham, MA). Plasma was processed and tissues excised to determine hepatic triacylglycerol
as previously described [10]. Plasma was analyzed for insulin (80 -INSMSU-E01 ELISA kit; Alpco, Salem,
NH), C-peptide (80-CPTMS-E01 ELISA kit; Alpco), non-esterified fatty acids (NEFA-C enzymatic colorimetric
assay; Wako, Richmond, VA), Tumor necrosis factor-alpha (TNFα ELISA Kit, ab100747, Abcam), Interleukin-
6 (IL-6 ELISA Kit, ab222503, Abcam), alanine transaminase ( ALT ELISA KIT, 700260; Cayman Chemical
Company, Ann Arbor, MI), and aspartate aminotransferase (AST ELISA, 701640; Cayman Chemical
Company).
1.6. Liver histology and immunohistochemical analysis
As routinely done, liver sections were fixed in 10% neutral buffered formalin (Sigma-Aldrich,
Milwaukee, WI), paraffin-embedded, cut, mounted and stained with hematoxylin-eosin (H&E) to assess
steatosis and lobular inflammation. Fibrosis was assessed by staining deparaffinized and rehydrated
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slides with 0.1% Sirius Red stain (Direct Red 80, Sigma-Aldrich, St Louis, MO) in saturated aqueous
solution of picric acid (Sigma-Aldrich), washed in 0.5% acetic acid (Sigma-Aldrich), hydrated in different
alcohol percentages, and cleared in Xylene (Sigma-Aldrich). Images were taken using Nikon Eclipse 90i
Microscope (Nikon, Melville, NY) as described [11]. 10 randomly selected high power fields (20x) per
sample were imaged and quantified with ImageJ (v1.53t) to determine the percentage of Sirius red (SR)
stain area within the whole area of imaged hepatic tissue. Briefly, each image was RGB-stacked,
subjected to standardized thresholding of individual channel to isolated Sirius Red stain and then
quantified as % area. Image quantifications were averaged and the mean within each experimental group
was plotted in the accompanying graph.
For immunohistochemical (IHC) analysis, FFPE sections were deparaffinized, dewaxed in xylene,
rehydrated before quenching endogenous peroxidases with 3% H2O2 buffer. Antigen-retrieval was then
performed by incubating slides in 10mM sodium citrate buffer (pH 6.0) or 10 mM Tris-EDTA buffer (pH 9.0)
in a microwave. Blocking was done using 1% rabbit or mouse serum (Vector labs, Burlingame, CA) for 1
hr at room temperature. Slides were stained overnight at 4°C in a humidifier chamber with α-CD68 (1:150,
polyclonal, Abcam, Cambridge, MA), α-Mac2 (1:250 monoclonal, Abcam), α-MPO (1:1000 monoclonal,
Abcam),, α-CD4 (1:1000 monoclonal, Abcam), α-CD8 (1:2000 monoclonal, Abcam), and α-Foxp3 (1:100
Invitrogen, Waltham, MA). Slides were then incubated with appropriate species-specific biotinylated
ImmPRESS HRP horse anti-mouse or anti-rabbit secondary antibody (Vector Labs, Burlingame, CA) for
30min before being treated with 3,3’-Diaminobenzidine (DAB, Vectastain kit-Vector labs, Newark, CA) and
counterstain with Mayer’s hematoxylin. Images were taken using Nikon Eclipse 90i Microscope (Nikon,
Melville, NY), as previously described [11]. Sections were evaluated blindly, and positively stained cells
were counted in 5 fields/mouse at 40X magnification.
1.7. Isolation of primary murine cells
Primary hepatocytes, bone marrow -derived macrophages, and endothelial cells from livers and
hearts were isolated from ketamine/xylazine -anesthetized 2 -to-3–month-old male mice, as previously
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described [11]. Briefly, hepatocytes [12] were maintained in DMEM (Gibco Lab, Gaithersburg, MD) -10%
FBS, 1% glutamine, and 1% penicillin/streptomycin (Gibco). Bone marrow -derived macrophages [11] were
obtained by flashing femurs and tibias with sterile Roswell Park Memorial Institute (RPMI) -1640 medium
from Gibco supplemented with 10% horse serum, 1% L-glutamine, 1% Penicilin/Streptomycin and 10ng/ml
Recombinant Mouse factor macrophage colony -stimulating factor [M -CSF] R&D Systems, Mi nneapolis,
MN). Primary endothelial cells [13; 14] isolated from livers and hearts were maintained in DMEM -F12
(Gibco) supplemented with 20% FBS, 1% glutamine, and 1% penicillin/streptomycin (Gibco), 100 ug/ml
Heparin (Sigma -Aldrich) and 100ug/ml Endothelial Cell Growth supplement [ECGS) (EMD Millipore
Corporation Burlington MA).
Primary mouse hepatic stellate cells (HSCs) were isolated from ≥8 -month-old mice, as described
[15]. Mice were anesthetized and using laparotomy, liver and the inferior vena cava (IVC) were exposed
and liver were perfused with in situ with EGTA solution (8,000 mg/l NaCl, 400 mg/l KCl, 88.17 mg/l
NaH2PO4.H2O, 120.45 mg/l, NaHPO4 2,380 mg/l HEPES, 350 mg/l NaHCO3, 190 mg/l EGTA, and 900 mg/l
Glucose) for 1-2 min, at a rate of 5ml/min. This was followed by perfusion with the Pronase solution for 5
min at 5ml/min. Pronase solution was prepared by dissolving 14 mg/mouse of pronase (Sigma -Aldrich) in
35 ml of enzyme buffer solution (8,000 mg/l NaCl, 400 mg/l KCl, 88.17 mg/l NaH2PO4, 120.45 mg/l, NaHPO4
2,380 mg/l HEPES, 350 mg/l NaHCO3, and 560 CaCl2.2H2O). The livers were then perfused for 7 min with
collagenase solution composed of 3.7 U/mouse of Collagenase D (Roche, Pleasanton, CA) dissolved in 40
ml enzyme buffer solution. After perfusion, the partially digested livers were excised, placed into a sterile
Petri dish containing Pronase/Collagenase solution prepa red by dissolving 25 mg/mouse of pronase and
4.4 U/mouse to 50 ml enzyme buffer solution and minced under cell culture hood. 1% DNase was added
(Roche, Pleasanton, CA) before further digesting the liver at 400C for 20 min and the digest passed through
a 70m cell strainer (Sigma-Aldrich) to remove undigested materials. The cell suspension was centrifuged at
580g for 10 min at 40. The pellet was then washed using 4°C Gey’s buffered salt solution B (GBSS/B) (8,000
mg/l NaCl, 370 mg/l KCl, 210 mg/l MgCl 2 .6H2O, 70 mg/l MgSO 4 7H2O, 75 mg/l Na 2HPO4 2H2O, 30 mg/l
KH2PO4, 991 mg/l glucose, 227 mg/l NaHCO 3, and 225 mg/l CaCl 2 H2O, supplemented with DNase I by
centrifugation at 580g at 40C for 10 min. HSCs were purified from the rest of cells including hepatocytes by
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density gradient-mediated separation. Cells were resuspended in 32 ml Gey’s buffered salt solution (GBSS)
before 16 ml Nycodenz solution [4.94 g of Nycodenz (Accurate Chemicals Westbury, NY) in 15 ml GBSS/B
without NaCl] was added. Gently overlaid cells-Nycondenz suspension with 1.5 ml GBSS using 3 ml syringe
with a 26 -gauge needle. Centrifuge the cell suspension at 1.380g at 4 0C for 17 min without brake. The
interphase containing enriched HSC between the GBSS and Nycondenz layer was removed and washed
using GBSS by centrifugation at 580g, 40C for 10 min. The cell pellet containing HSCs was resuspended in
prewarmed culture media DMEM (Gibco, Gaithersburg, MD) supplemented with 10% fetal bovine serum
(FBS), 0.04% Gentamycin, and 1% Antibiotic/antimyocotic (Gibco), placed in a humidified tissue culture
incubator (37°C, 5%CO2).
1.8. Western blot analysis
Proteins were extracted from tissues or cells using lysis buffer containing 150 mM NaCl -50 mM
Hepes (pH 7.6), 0.02% sodium azide,1% Triton X-100, 50 mM NaF, PMSF, Na3VO4 and proteinase Inhibitor
Cocktail Tablet (Roche Diagnostics Penzberg, Germany). Protein concentration was determined by Bio-Rad
Protein Assay (Bio-Rad Laboratories, Hercules, CA) and 10-30 µg proteins were denatured by boiling in
sodium dodecyl sulfate (SDS) buffer for 3 min and resolved by 7% SDS -PAGE, transferred onto
nitrocellulose membrane (Bio -Rad Laboratories). After blocking with 3% -5% dry milk or bovine serum
albumin (BSA) dissol ved in TBST (Tris -Buffered Saline, pH 7.2, 0.1% Tween 20), the membrane was
incubated at 4 0C overnight with polyclonal antibodies (1:1000): phospho - Akt Ser 473, Akt, phospho-p44/42
MAPK (Thr 202/Tyr204), p44/42 MAPK, phospho -SMAD2Ser 465/467, SMAD2, phospho -SMAD3Ser 423/425, SMAD3,
phospho-EGFR1 (Y1173), EGFR, Shc, phospho-NF-κB p65 (Ser536), NF-κB, phospho-Stat3 (Tyr705) Stat3,
MMP9, MMP13 and Timp1 (Cell signaling, Danvers, MA), phospho -Insulin receptor beta (pIR β) (phospho-
Y1361), Insulin receptor beta (C18C4) (Abcam), PCNA (Santa Cruz, Dallas, TX) , phospho-tyrosine (4G10)
(EDM Milipore, Billerica, MA). The following custom-made rabbit polyclonal antibodies were used: Ab 3759
against the mouse CEACAM1 extracellular domain, and anti-human CEACAM1 clone 18/20, a gift from the
late Dr. Bernhard Singer (University Hospital Essen, Germany). Next day the membrane was washed three
times with TBST and incubated with horseradish peroxidase conjugated secondary antibodies antibody (GE
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Healthcare Life Sciences, Amersham, Sunnyvale, CA, USA), for one hour at room temperature. For
normalization, membranes were reprobed with monoclonal antibodies against tubulin (Cell signaling).
Proteins were detected by chemiluminescence (Thermo Scientific, Rockford, IL).
Name Company Catalog Number
Primary Antibodies for Western blot
Akt Cell Signaling Technology 9272
phospho-Akt (Ser473) Cell Signaling Technology 4051
EGFR1 Cell Signaling Technology 4267
phospho-EGFR1 (Y1173) Cell Signaling Technology 4407
Insulin receptor beta Abcam ab69508
phospho-Insulin receptor beta (pIRβ)
(phospho-Y1361)
Abcam Ab303492
p44/42 MAPK Cell Signaling Technology 9102
phospho-p44/42 MAPK (Thr202/Tyr204) Cell Signaling Technology 9101
Phosphotyrosine (4G10) EDM Millipore 05-321
MMP2 Cell Signaling Technology 40994
MMP9 Cell Signaling Technology 13667
MMP13 Cell Signaling Technology 69926
NF-κB p65 Cell Signaling Technology 8242
Phospho-NF-κB p65 (Ser536) Cell Signaling Technology 3031
PCNA Santa Cruz, Dallas Sc-56
Shc Cell Signaling Technology 50832
Smad2 Cell Signaling Technology 5339
phospho-Smad2 (Ser465/467) Cell Signaling Technology 3108
Smad3 Cell Signaling Technology 9523
phospho-Smad3 (Ser423/425) Cell Signaling Technology 9520
Stat3 Cell Signaling Technology 1264
phospho-Stat3 (Tyr705) Cell Signaling Technology 9145
TIMP1 Cell Signaling Technology 8946
Tubulin Cell Signaling Technology 2148
Secondary Antibodies for Western blot
Donkey anti-rabbit IgG antibody (HRP) GE Healthcare Life Sciences NA934V
Sheep anti-mouse IgG (HRP) GE Healthcare Life Sciences NXA931V
IHC Antibodies-Mouse
CD4 Abcam ab183685
CD8 Abcam ab209778
CD68 Abcam ab125212
Foxp3 Invitrogen 700914
MPO Abcam ab208670
Mac2 Abcam ab76245
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was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
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Table S1
Primer sequences of mouse (m) and human (h) genes used in qRT-PCR.
Primer Forward Sequence (5'-3') Reverse Sequence (5'-3')
mAcsl1 TCTTTCTTGCCTCTCGCC GTCGTCCATAAGCAGCCT
mAcsl4 GCCAGTGTGAACGTATCC GTGAAGAGTATCCAATCCTACAG
mAtgl TGACCATCTGCCTTCCAGA TGTAGGCGCAAGACA
mα-Sma CGTGGCTATTCCTTCGTTAC TGCCAGGAGACTCCATCC
mCcl2 AGGTCCCTGTCATGCTTCTG GGGATCATCTTGCTGGTGAA
mCd4 TCACCTGGAAGTTCTCTGACC GGAATCAAAACGATCAAACTGCG
mCd4 CTCTGGCTGGTCTTCAGTATGA TCTTTGCCGTATGGTTGGTTT
mCd11b TACGTAATTGGGGTGGGAA GTGCCCTCAATTGCAAAGAT
mCd36 TCTTGGCTACAGCAAGGCGACATA AGCTATGCAGCATGGAACATGACG
mCd68 CCTCGCCCTAGTCCAAGGTC CGATTCGGATTTGAATTTGGGCT
mCeacam1 AATCTGCCCCTGGCGCTTGGAGCC AAATCGCACAGTCGCCTGAGTACG
mCol1α1 TAGGCCATTGTGTATGCAGC ACATGTTCAGCTTTGTGGACC
mCol3α1 CATACCTGGTACCGGTGGTC CACCGACTTCACCCTTTGGA
mCpt1α AAGGCAGAAGAGTGGGCTTTCACT ACCTTGGCTGCGGTAAGACTATGT
mDesmin AAGATGGCCTTGGATGTGGA GTTGATCCTGCTCTCCTCGC
mElastase GTTGGGCACAAACAGACC GCAAACTCAGCCACAGG
mFasn ACTGTGAGAAGCATGTCCCTGGAA AAGCAACCTCCACTCCTCTGCTTA
mF4/80 CAAGGAGGACAGAGTTTATCGTG CTTTGGCTATGGGCTTTCAGTC
mFoxp3 CCCAGGAAAGACAGCAACCTT TTTCACAACCAGGCCACTTG
mIfnγ ATGAACGCTACACACTGCATC CCATCCTTTTGCCAGTTCCTC
mGapdh CCAGGTTGTCTCCTGCGACT ATACCAGGAAATGAGCTTGACAAAGT
mHgf CTTCTCCTTGGCCTTGAATG CCTGACACCACTTGGGAGTA
mIl-4 AGGTCACAGGAGAAGGGACGCC TGCGAAGCACCTTGGAAGCCC
mIl-6 GGCCTTCCCTACTTCACCAG ATTTCCACGATTTCCCAGAG
mIl-10 CACAAAGCAGCCTTGCAGAA AGAGCAGGCAGCATAGCAGTG
mIl-13 TGTTTCGCCACGGCCCCTTC TGCTCAAGCTGCTGCCTGCC
mMmp2 CAACGGTCGGGAATACAGCAG CCAGGAAAGTGAAGGGGAAGA
mLal/Lipa GCAAAGGTCCCAGACCAGTT TCATCAAAACTGAAGGCCCAGA
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mLrat CAGATATGGCTCTCGGATCAG GACAATAGATGCTAATCCCAAGAC
mMmp9 CGTGTCTGGAGATTCGACTTGA TGGAAGATGTCGTGTGAGTTCC
mMmp13 CCTTCTGGTCTTCTGGCACAC GGCTGGGTCGTCACACTTCTCTGG
mTimp1 GCATGGACATTTATTCTCCACTGT TCTCTAGGAGCCCGATCTG
mTimp2 GCCAAAGCAGTGAGCGAGAAG GGGGAGGAGATGTAGCAAGGG
mTimp3 CACGGAAGCCTCTGAAAGTC CCCAAAATTGGAGAGCATGT
mNox1 GGATCCATGGCCTGGGTGGGAT GGATGCCTGCAACTCCCCTTATGG
mNox4 TCCAAGCTCATTTCCCACAG CGGAGTTCCATTACATCAGAGG
mNqo1 TATCCTTCCGAGTCATCTCTAGCA TCTGCAGCTTCCAGCTTCTTG
mNrf1 AGCACGGAGTGACCCAAAC TGTACGTGGCTACATGGACCT
mPparγ1 AGATCATCTACACGATGCTGGCCT ATAAAGTCACCAAAGGGCTTCCGC
mPparβ/δ TGCTGGTATCGGCTCAATAA TCCTGCCACTTGCTCACTAC
mPcna CACGTATATGCCGAGACCTTAGC CTCCACTTGCAGAAAACTTCACC
mSmad7 GTTGCTGTGAATCTTACGGG ATCTGGACAGCCTGCA
mSrebp-1c GGAGCCATGGATTGCACATT GCTTCCAGAGAGGAGGCCA
mTgfβ GTGGAAATCAACGGGATCAG ACTTCCAACCCAGGTCCTTC
mTnfα ACGGCATGGATCTCAAAGAC CGGACTCCGCAAAGTC
mTxn GCCAAAATGGTGAAGCTGAT TGATCATTTTGCAAGGTCCA
m18s TTCGAACGTCTGCCCTATCAA ATGGTAGGCACGGCGACT
hα-SMA CGTGGCTATTCCTTCGTTAC TGCCAGCAGACTCCATCC
hATGL ACCAGCATCCAGTTCAACCT ATCCCTGCTTGCACATCTCT
hACSL4 CACGAATATCTTCTGTGATTTCAA ACGCGGTTCCTTTTTGC
hACSL1 GCTTGCATTGTCCTGTGTTG GGAGTGGGCTGCAGTGAC
hCEACAM1 TCTACCCTGAACTTTGAAGCCCA TGAGAGACTTGAAATACATCAGCAC
TG
hCD36 ATGTAACCCAGGACGCTGAG GTCGCAGTGACTTTCCCAAT
hCol1a1 GATTCCCTGGACCTAAAGGTGC AGCCTCTCCATCTTTGCCAGCA
hCPT-1α TCCAGTTGGCTTATCGTGGTG CTAACGAGGGGTCGATCTTGG
hDGAT1 AGTTGCTGAAGCCACTGTCA CAACAAGGACGGAGACGC
hFASN AACTCCAAGGCAACAGTCACCAT CAGCTGCTCCACGAACTCAA
hGAPDH ATCCATGACAACTTTGTTATCGTG ATGACCTGGCCCACAGCCTT
hLAL/LIPA CTAGAATCTGCCAGCAAGCC TGTGCCTTAACCGAATTCCT
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hLRAT CCAAGACTGCTGAAGCAAGA TACTGCAGATATGGCACCCC
hPPARβ/δ AAGAGCTTGGAGCTCGGC TGAAAGCGTGTCCGTGATGA
hPPARγ1 CGTGGCCGCAGATTTGAA CTTCCATTACGGAGAGATCCAC
hSREBP-1c CAGCATAGGGTGGGTCAAAT GAGCCGTGCGATCTGGA
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Table S2
The effect of nicotinic acid on lipid metabolism of HSCs from KD-LX2 transferred into Scr-LX2 HSCs.
KD KD
+NA
Scr Scr
+NA
Scr/Cond Scr/Cond
+NA
hLRAT 1.1±0.1* 1.7±0.2¶† 5.1 ± 0.3 5.2 ± 0.4 1.5 ± 0.1* 4.8 ± 0.3†
hLAL(LIPA) 1.0±0.1* 1.1±0.1¶ 3.8 ± 0.3 4.1 ± 0.2 1.6 ± 0.1*§ 3.8 ± 0.2†
hACSL1 1.1±0.1* 1.7±0.1¶† 3.0 ± 0.2 3.0 ± 0.1 1.2 ± 0.3* 3.2 ± 0.1†
hACSL4 4.8 ± 0.3* 4.2±0.2¶† 1.1 ± 0.3 0.8 ± 0.1 3.3 ± 0.1*§ 1.1 ± 0.1†
hACSL4/1 4.5 ± 0.4* 2.6±0.1¶† 0.4 ± 0.1 0.3 ± 0.1 2.8 ± 0.5*§ 0.3 ± 0.1†
hSREBP-1c 1.8 ± 0.1* 1.1±0.1¶† 0.4 ± 0.1 0.5 ± 0.1 1.1 ± 0.2*§ 0.6 ± 0.1†
hFASN 5.2 ± 0.6* 3.1±0.2¶† 0.7 ± 0.1 0.8 ± 0.1 3.4 ± 0.2*§ 0.8 ± 0.1†
hDGAT1 3.4 ± 0.2* 3.0±0.1¶ 0.9 ± 0.2 1.0 ± 0.1 2.9 ± 0.2* 1.1 ± 0.3†
hATGLl 4.3 ± 0.1* 3.2±0.3¶† 1.4 ± 0.2 1.1 ± 0.3 3.1 ± 0.5*§ 1.3 ± 0.2†
Cells were treated with nicotinic acid (NA) or with buffer alone before the media were collected
(conditioned) and transferred to pre-washed Scr-LX2 cells (Scr/Cond). qRT-PCR was conducted in
triplicate to assess mRNA levels normalized to GAPDH. Values are expressed as mean ± SEM.
*p<0.05 untreated KD and Scr/Cond vs untreated Scr-LX2 cells.
†p<0.05 NA-treated vs untreated/cell line.
§p<0.05 untreated Scr/Cond vs untreated KD.
¶p<0.05 NA-treated KD vs NA-treated Scr and NA-treated Scr/Cond cells.
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Table S3
qRT-PCR analysis in primary cells incubated in conditioned media from Cc1–/– HSCs.
Cc1–/– Cc1–/–
+NA
Cc1+/+ Cc1+/+
+NA
Cc1+/+/Cond Cc1+/+/Cond +NA
Ceacam1 negligible negligible 1.12±0.01 1.05±0.02 0.53±0.02*§ 1.08±0.03†
Pparβ/δ 2.12±0.01* 1.45±0.03¶† 1.11±0.01 1.05±0.02 1.94±0.03* 1.05±0.03†
Pcna 2.27±0.02* 1.43±0.03¶† 1.07±0.04 1.02±0.02 2.03±0.03* 1.06±0.03†
-Sma 2.29±0.02* 1.44±0.03¶† 1.12±0.01 1.05±0.02 2.13±0.04* 1.08±0.03†
Srebp-1c 1.28±0.03* 0.58±0.02¶† 0.34±0.02 0.34±0.02 0.83±0.02* 0.36±0.02†
Fasn 2.38±0.01* 1.64±0.02¶† 1.25±0.03 1.26±0.03 2.01±0.03* 1.40±0.06†
Primary HSCs were isolated from ≥8 -month-old mice (n=7/genotype), pre-incubated with (+) or without ( –)
nicotinic acid (NA) before Cc1–/– media were collected and transferred into Cc1+/+ control HSCs
(Cc1+/+/cond). qRT-PCR analysis was carried out in triplicate, normalized against Gapdh and presented as
mean ± SEM.
*p<0.05 untreated HSCs from Cc1–/– and Cc1+/+/Cond vs untreated Cc1+/+cells.
†p<0.05 NA-treated vs untreated/cell line.
§p<0.05 untreated Cc1+/+/Cond vs untreated Cc1–/–.
¶p<0.05 NA-treated Cc1–/– vs NA-treated Cc1+/+ and NA-treated Cc1+/+/Cond cells.
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Table S4
mRNA levels of genes in liver lysates.
Lrat–Cc1+/+
Lrat+Cc1+/+
Lrat–Cc1fl/fl
Lrat+Cc1fl/fl
Lipid metabolism
Srebp1c 1.03 ± 0.03 1.01 ± 0.14 1.04 ± 0.09 1.14 ± 0.08
Fasn 2.92 ± 0.57 3.00 ± 0.74 3.42 ± 0.38 3.74 ± 0.30
Cd36 1.92 ± 0.20 1.95 ± 0.56 2.25 ± 0.26 2.21 ± 0.21
Inflammation
F4/80 2.10 ± 0.37 2.78 ± 0.35 3.63 ± 0.51 12.81 ± 1.75*
Cd68 1.93 ± 0.11 2.29 ± 0.37 3.27 ± 0.43 10.02 ± 1.80*
Mpo 1.62 ± 0.18 1.77 ± 0.20 2.71 ± 0.11 4.61 ± 0.42*
Elastase 0.66 ± 0.07 0.69 ± 0.17 0.75 ± 0.19 2.52 ± 0.70*
Cd4 1.18 ± 0.08 1.25 ± 0.09 1.53 ± 0.20 1.52 ± 0.17
Cd8 0.84 ± 0.06 0.95 ± 0.06 1.00 ± 0.07 1.03 ± 0.09
Il-10 1.00 ± 0.28 0.96 ± 0.12 1.10 ± 0.29 0.90 ± 0.15
Oxidative stress
Nox1 0.99 ± 0.08 1.28 ± 0.12 1.33 ± 0.11 2.16 ± 0.17*
Nox4 1.00 ± 0.07 0.89 ± 0.10 1.05 ± 0.10 1.53 ± 0.19*
Liver lysates from male mice (10 months of age, n=6/each genotype) were analyzed in duplicate by qRT-
PCR using gene-specific primers and normalized to Gapdh. Values are expressed as mean ± SEM.
*P<0.05 vs all three controls.
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Table S5
The effect of EGFR inhibitor, Gefitinib, on lipid metabolism of primary HSCs from LratCre+Cc1fl/fl mice.
Lrat+Cc1fl/fl Lrat+Cc1fl/fl
Gef
WT WT
+ Gef
WT/
Cond
WT/
Cond+Gef
mLrat 0.8 ± 0.1* 1.1 ± 0.1 3.7 ± 0.1 3.7 ± 0.0 1.3 ± 0.1* 3.4 ± 0.2†
mLal(Lipa) 0.7 ± 0.0* 1.5 ± 0.0¶† 2.1 ± 0.1 2.1 ± 0.1 0.8 ± 0.1* 1.8 ± 0.1†
mAcsl1 0.5 ± 0.1* 1.1 ± 0.1¶† 2.6 ± 0.1 2.5 ± 0.1 0.9 ± 0.1*§ 2.0 ± 0.1†
mAcsl4 4.0 ± 0.2* 3.0 ± 0.2¶† 1.1 ± 0.1 1.1 ± 0.0 2.4 ± 0.1*§ 1.2± 0.0†
mAcsl4/Acsl1 6.7 ± 1.9* 3.8 ± 1.0¶† 0.4 ± 0.2 0.4 ± 0.3 2.5 ± 0.2*§ 1.6 ± 0.4†
mDgat1 2.9 ± 0.1* 1.6 ± 0.1¶† 0.5 ± 0.1 0.4 ± 0.1 1.2 ± 0.1*§ 0.6 ± 0.1†
mAtgl 4.1 ± 0.2* 2.8 ± 0.2¶† 1.1 ± 0.1 1.0 ± 0.2 2.3 ± 0.1*§ 1.0 ± 0.0†
HSCs were isolated from LratCre+Cc1fl/fl and a combination of wild -type (WT) mice ( LratCre–Cc1+/+,
LratCre+Cc1+/+ and LratCre–Cc1fl/fl). Some WT cells were incubated with conditioned media from
LratCre+Cc1fl/fl HSCs in the presence of Gefitinib (Gef) or its absence. qRT-PCR analysis was carried out in
triplicate, normalized against Gapdh and presented as mean ± SEM.
*p<0.05 untreated HSCs from LratCre+Cc1fl/fl and WT/Cond vs untreated WT cells.
†p<0.05 treated vs untreated/cell line.
§p<0.05 untreated WT/Cond vs untreated LratCre+Cc1fl/fl.
¶p<0.05 treated LratCre+Cc1fl/fl vs NA-treated WT and treated WT/Cond cells.
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Fig. S1. Genotyping of LratCre+Cc1fl/fl mutants. PCR amplification was performed on ear DNA using
primers for the FloxA/FloxB pair detected the 382bp wild -type allele ( Cc1+/+) and the FloxA/FloxC pair
detected the 488bp null when the primer sets of the Cre reaction were combined. The LratCre+ allele was
detected by the 343bp Lrat promoter. Nucleotide sequences were listed in the inserted table. FP denotes
forward primer and RP denotes reverse primer.
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Fig. S2. CEACAM1 loss in LX2 cells induces cell growth. Serum-starved Src-LX2 and KD-LX2 cells were
treated with insulin (100 nM) for 5 min, lysed and proteins analyzed by immunoblotting (Ib) : (A) the α-pTyr
immunopellet (Ip) with α-pCEACAM1 (α-pCC1) antibody; (B) total lysates with α-pIRβ followed by re-
immunoblotting (relb) with α-pIRβ to normalize for loading; (C) total lysates with α-pMAPK followed by re -
immunoblotting (relb) with α-MAPK. (D) Cells were grown in 96 well plates and treated with insulin for 24
hrs before cell growth was assayed in triplicate by MTT assay. Values represent mean ± SEM; *p<0.05 KD-
LX2 vs Scr-LX2 cells/treatment group; †p<0.05 insulin-treated vs untreated/cell line.
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Fig. S3. Absence of inflammatory infiltration in 8 -month-old mice. Livers were removed from 8 -month-old
LratCre+Cc1fl/fl male mice and their 3 littermate controls (n=4 –5/genotype) to carry out (A) H&E staining as
in the legend of Fig. 5. (B) Western analysis to assess the phosphorylation of the p65 subunit of NF-B and
Stat3 (activation), as in the legend of Fig. 6 and (C) qRT-PCR analysis of the mRNA levels of genes involved
in inflammation, as in the legend of Fig. 6.
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Fig. S4. Absence of hepatic fibrosis in 8 -month-old mice. Livers were removed from 8 -month-old
LratCre+Cc1fl/fl male mice and their 3 littermate controls (n=4–5/genotype) to carry out (A) Sirius red staining
of liver sections from mutant mice (panel d) and their littermate controls (panels a-c), as in the legend of Fig.
7. (B) qRT-PCR analysis of the mRNA levels of hepatic genes involved in fibrosis, as in the legend of Fig. 7.
(C) Western analysis to assess Smad3 phosphorylation (activation), as in the legend of Fig. 7.
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