Literature DB >> 29552626

Neutrophil-Hepatic Stellate Cell Interactions Promote Fibrosis in Experimental Steatohepatitis.

Zhou Zhou1, Ming-Jiang Xu1, Yan Cai1, Wei Wang1, Joy X Jiang2, Zoltan V Varga3, Dechun Feng1, Pal Pacher3, George Kunos4, Natalie J Torok2, Bin Gao1.   

Abstract

BACKGROUND & AIMS: Hepatic infiltration of neutrophils is a hallmark of steatohepatitis; however, the role of neutrophils in the progression of steatohepatitis remains unknown.
METHODS: A clinically relevant mouse model of steatohepatitis induced by high-fat diet (HFD) plus binge ethanol feeding was used. Liver fibrosis was examined. In vitro cell culture was used to analyze the interaction of hepatic stellate cells (HSCs) and neutrophils.
RESULTS: HFD plus one binge ethanol (HFD+1B) feeding induced significant hepatic neutrophil infiltration, liver injury, and fibrosis. HFD plus multiple binges of ethanol (HFD+mB) caused more pronounced liver fibrosis. Microarray analyses showed that the most highly activated signaling pathway in this HFD+1B model was related to liver fibrosis and HSC activation. Blockade of chemokine (C-X-C motif) ligand 1 or intercellular adhesion molecule-1 expression reduced hepatic neutrophil infiltration and ameliorated liver injury and fibrosis. Disruption of the p47phox gene (also called neutrophil cytosolic factor 1), a critical component of reactive oxygen species producing nicotinamide adenine dinucleotide phosphate-oxidase in neutrophils, diminished HFD+1B-induced liver injury and fibrosis. Co-culture of HSCs with neutrophils, but not with neutrophil apoptotic bodies, induced HSC activation and prolonged neutrophil survival. Mechanistic studies showed that activated HSCs produce granulocyte-macrophage colony-stimulating factor and interleukin-15 to prolong the survival of neutrophils, which may serve as a positive forward loop to promote liver damage and fibrosis.
CONCLUSIONS: The current data from a mouse model of HFD plus binge ethanol feeding suggest that obesity and binge drinking synergize to promote liver fibrosis, which is partially mediated via the interaction of neutrophils and HSCs. Microarray data in this article have been uploaded to NCBI's Gene Expression Omnibus (GEO accession number: GSE98153).

Entities:  

Keywords:  4-HNE, 4-hydroxynonenal; ALT, alanine aminotransferase; AST, aspartate aminotransferase; Alcohol; CXCL1, chemokine (C-X-C motif) ligand 1; Csf, colony-stimulating factor gene; FBS, fetal bovine serum; Fatty Liver; G-CSF, granulocyte colony-stimulating factor; GM-CSF, granulocyte-macrophage colony-stimulating factor; HFD+1B, high-fat diet feeding plus 1 binge of ethanol; HFD+mB, high-fat diet plus multiple binges; HFD, high-fat diet; HSC, hepatic stellate cell; High-Fat Diet; ICAM-1, intercellular adhesion molecule-1; IL, interleukin; Inflammation; KO, knockout; MPO, myeloperoxidase; PCR, polymerase chain reaction; ROS, reactive oxygen species; RT-PCR, reverse-transcription polymerase chain reaction; Reactive Oxygen Species; TUNEL, terminal deoxynucleotidyl transferase–mediated deoxyuridine triphosphate nick-end labeling; WT, wild-type; cDNA, complementary DNA; mRNA, messenger RNA

Year:  2018        PMID: 29552626      PMCID: PMC5852390          DOI: 10.1016/j.jcmgh.2018.01.003

Source DB:  PubMed          Journal:  Cell Mol Gastroenterol Hepatol        ISSN: 2352-345X


Liver disease is one of the leading global health problems, causing significant mortality worldwide. Although various risk factors have been discovered and the disease progression has been well characterized, the underlying mechanisms and therapeutic targets in various forms of liver disease are still elusive. Obesity1, 2 and alcohol drinking3, 4 are 2 well-known major risk factors for liver diseases, causing a similar spectrum of liver pathologies from simple fatty liver to more severe forms of liver injury, such as steatohepatitis, cirrhosis, and cancer. These 2 risk factors often co-exist and synergistically promote liver disease progression5, 6; however, the underlying mechanisms remain obscure. Recently, we developed a clinically relevant mouse steatohepatitis model consisting of 3-month high-fat diet (HFD) feeding plus 1 binge of ethanol (HFD+1B).7, 8, 9 Three-month HFD feeding alone caused obesity and severe fatty liver with a mild increase of serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels, but little or no hepatic neutrophil infiltration. Interestingly, acute gavage of a single dose of ethanol induced massive hepatic neutrophil infiltration and liver injury (increase of serum ALT and AST level) in 3-month HFD-fed mice,7, 8 providing a good model to study the role of neutrophils in liver injury. The present study shows that activated hepatic stellate cells produce granulocyte-macrophage colony-stimulating factor and interleukin-15 to prolong the survival of neutrophils. This may serve as a feed-forward signaling loop that promotes steatohepatitis and liver fibrosis in high-fat diet plus binge ethanol–induced steatohepatitis. Hepatic neutrophil infiltration is a critical pathologic feature in liver damage associated with both obesity and alcohol-related liver diseases.10, 11, 12 Neutrophils are critical components of the innate immune system. Upon infection or tissue injury, neutrophils are rapidly recruited to the infected or injured areas to clear the bacteria or remove damaged cells. However, because of the lack of selectivity, neutrophils also may cause tissue damage along with their beneficial effects on host defense.12, 13, 14 Hepatic neutrophil infiltration is a hallmark of alcoholic steatohepatitis in patients and also is observed in animal models of chronic plus binge ethanol feeding and HFD+1B feeding.7, 8 The results of studies using these animal models suggest that neutrophil infiltration contributes to liver injury in steatohepatitis and have identified several mechanisms underlying hepatic neutrophil infiltration in these models.7, 8, 15 For example, HFD+1B feeding highly up-regulated hepatic expression of chemokine (C-X-C motif) ligand 1 (CXCL1), which is one of the most selective and powerful chemokines to attract neutrophils. Inhibition of CXCL1 reduced hepatic neutrophil infiltration and ameliorated liver injury induced by HFD+1B feeding. Moreover, up-regulation of hepatic Cxcl1 gene expression in HFD-fed mice by acute ethanol binge is partially mediated via the inhibition of hepatic peroxisome proliferator-activated receptor γ, a negative regulator for Cxcl1 gene expression. Although HFD feeding and acute binge ethanol together are known to synergistically induce hepatic neutrophil infiltration and hepatocellular damage, whether this combined challenge also induces liver fibrosis remains unknown. Liver fibrosis is the scarring process after liver injury, which may progress to cirrhosis and liver cancer.17, 18 Hepatic stellate cells (HSCs) are the major cell type responsible for liver fibrogenesis by producing matrix proteins during chronic liver injury.17, 19 In the quiescent state, HSCs store retinol inside their lipid droplets. During chronic liver inflammation and injury, HSCs become activated, lose lipid droplets, and differentiate into myofibroblasts, which express smooth muscle actin and various types of collagen proteins, resulting in extracellular matrix deposition and fibrosis. Over the past 4 decades, a large number of inflammatory mediators have been identified to control HSC activation. For example, activation of natural killer cells has been well documented to inhibit liver fibrosis by directly killing activated HSCs and producing interferon-γ that induces HSC apoptosis and cell-cycle arrest; whereas neutrophils likely promote liver fibrosis by inducing hepatocellular damage and HSC activation via the production of reactive oxygen species (ROS). However, the exact functions of neutrophils in liver fibrogenesis in steatohepatitis have not been studied because of a lack of an animal model that recapitulates human steatohepatitis with significant neutrophil infiltration. The mouse model of steatohepatitis induced by HFD+1B feeding possesses several interesting features, including severe steatosis, a high increase of serum ALT and AST levels, and significant neutrophil infiltration in the liver.7, 8 In the current study, we performed microarray analyses using this model and found that the most robustly activated signaling pathway in the liver is related to liver fibrosis and HSC activation. Furthermore, we examined the role of neutrophils in liver fibrogenesis in vivo in this model, and also performed in vitro co-culture experiments to analyze the reciprocal interaction between neutrophils and HSCs. The data showed that apart from the already known effect of neutrophils on promoting HSC activation, activated HSCs enhanced the survival of neutrophils by producing granulocyte-macrophage colony-stimulating factor (GM-CSF) and interleukin (IL)15, thereby exacerbating liver inflammation.

Materials and Methods

Mice

Male C57BL/6J, intercellular adhesion molecule-1 (Icam-1)-/-, and p47 mice were purchased from the Jackson Laboratories (Bar Harbor, ME) and housed in a temperature-controlled, 12-hour light/12-hour dark room. Cxcl1-/- mice on a C57BL/6 background were kind gifts from Dr Sergio Lira (Mount Sinai, NY) and were further back-crossed into a C57BL/6J background for 5 more generations at the National Institute on Alcohol Abuse and Alcoholism animal facility, with C57BL/6J mice being used as wild-type (WT) controls. In some experiments, heterozygous breeding of Cxcl1+/- mice was performed to obtain Cxcl1-/- and littermate WT controls. Animal care was in accordance with the guidelines of the National Institutes of Health. The animal experiments were approved by the National Institute on Alcohol Abuse and Alcoholism Animal Care and Use Committee.

HFD+1B or HFD-Plus-Multiple Binges of Ethanol Feeding Model

The HFD+1B feeding model in mice was described previously.7, 9 Briefly, mice were fed with an HFD diet (60% of calories as fat, catalog no. D12492; Research Diets, New Brunswick, NJ) for 3 months. For single-dose ethanol treatment, the 3-month HFD-fed mice were given 5 g/kg ethanol as a 53% ethanol solution in water by oral gavage, and were killed 9 hours later. For the maltose control group, the 3-month HFD-fed mice were given isocaloric dextrin-maltose by oral gavage, and were killed 9 hours later. For multiple ethanol binges, the 3-month HFD-fed mice were given 5 g/kg ethanol as a 53% ethanol solution in water by oral gavage twice a week for a total of 8 times during an additional month of HFD feeding, and the mice were killed 9 hours later after the last gavage. For the maltose control group, the 3-month HFD-fed mice were given isocaloric dextrin-maltose by oral gavage twice a week for a total of 8 times during an additional month of HFD feeding, and the mice were killed 9 hours later after the last maltose gavage. The HFD plus multiple binges (HFD+mB) (5 g/kg ethanol) model has a high mortality with approximately 80% in C57BL/6N mice and approximately 30% in C57BL/6J mice, which has been described in detail by Gao et al.

Microarray Analyses of Mouse Liver Samples

Total RNAs were isolated from liver tissues of mice fed with chow diet plus 1 maltose binge (chow) (n = 4), chow diet plus 1 ethanol binge (1B) (5 g/kg, n = 4), 3-month HFD plus 1 maltose binge (HFD group) (n = 4), and 3-month HFD plus 1 ethanol binge (HFD+1B) (5 g/kg, n = 5). For each sample, 10 μg RNA samples were used for complementary DNA (cDNA) synthesis (SuperScript Double-Stranded cDNA Synthesis Kit; Thermo Fisher Scientific, Inc, Waltham, MA) and coupled with dye. A MiniElute polymerase chain reaction (PCR) purification kit (Qiagen, Germantown, MD) was used to purify dye-coupled cDNAs. The cDNA then was hybridized to an Agilent 44K mouse 60-meroligo microarray (Agilent Technologies, Santa Clara, CA). The data were analyzed with the Genespring GX software package (Agilent Technologies). Ingenuity Pathway Analysis was used to process 5 interactive Venn diagrams and gene function analyses. Full microarray data have been uploaded to NCBI’s Gene Expression Omnibus (GEO accession number: GSE98153).

Histopathologic Analysis

Liver tissues were fixed in 10% formalin and embedded in paraffin. The 4-μm sections were further stained with H&E, Sirius Red, and Masson Trichrome (Sigma-Aldrich, St. Louis, MO). Immunohistochemical staining for myeloperoxidase (MPO) was performed with prediluted rabbit anti-MPO polyclonal antibody (cat number: PP-023 AA; Biocare Medical, LLC, Concord, CA) and a rabbit ABC staining kit (Vector Laboratories, Inc, Burlingame, CA) followed by hematoxylin staining. Immunohistochemical staining for 4-hydroxynonenal (4-HNE) was performed with mouse monoclonal anti–4-HNE antibody (Institute for the Control of Aging, Nikken SEIL Co, Fukuroi, Shizuoka, Japan) and a Mouse-on-Mouse Impress staining kit (Vector Laboratories, Inc) followed by hematoxylin staining. Immunofluorescence microscopy analysis was performed with a confocal system from Zeiss (Thornwood, NY). Terminal deoxynucleotidyl transferase–mediated deoxyuridine triphosphate nick-end labeling (TUNEL) staining was performed with an ApopTag Peroxidase In Situ Apoptosis Detection Kit (Millipore, Billerica, MA). Anti-MPO and anti-desmin (Dako, Glostrup, Demark) antibodies were used with Alexa Fluor 488– or Alexa Fluor 555–conjugated antibodies (Cell Signal Technology, Danvers, MA) for immunofluorescent staining. Hoechst 33342 (Sigma, St. Louis, MO) was used for the detection of DNA in nucleus. For quantification of Sirius Red–positive staining, at least 5 random images were taken from each mouse. The percentage of Sirius Red–positive area was determined with ImageJ software (National Institutes of Health, Bethesda, MD).

Biochemical Assays

Serum ALT and AST levels were tested with a Catalyse Dx Chemistry Analyzer (IDEXXX Laboratories, Inc, Westbrook, ME). Hepatic collagen contents were measured by analyzing the concentration of hydroxyproline, with commercial kits from BioVision (Milpitas, CA) following the manufacturer's instructions.

Isolation of Hepatocytes and HSCs

Primary hepatocytes and HSCs were isolated and cultured as previously described. Briefly, mice were anesthetized with sodium pentobarbital (30 mg/kg intraperitoneally) and the portal vein was cannulated. The livers were perfused with ethylene glycol-bis(β-aminoethyl ether)-N,N,N′,N′-tetraacetic acid solution (5.4 mmol/L KCl, 0.44 mmol/L KH2PO4, 140 mmol/L NaCl, 0.34 mmol/L Na2HPO4, 0.5 mmol/L ethylene glycol-bis(β-aminoethyl ether)-N,N,N′,N′-tetraacetic acid, and 25 mmol/L Tricine, pH 7.2) followed by 0.075% type I collagenase (Sigma) in Gey's Balanced Salt Solution (Sigma). After an additional digestion step with 0.009% collagenase at 37°C agitation for 30 minutes, hepatocytes were separated with 25g centrifugation for 5 minutes at room temperature. The precipitated hepatocytes were cultured in Dulbecco's modified Eagle medium with 10% fetal bovine serum (FBS) on collagen-coated plates from Corning (Corning, NY). The supernatant was centrifuged further at 400g for 10 minutes at 4°C. The cell pellet was suspended in 11.5% OptiPrep and loaded carefully with Gey's Balanced Salt Solution. After centrifugation at 1400g for 20 minutes at 4°C, the interface fraction was collected and further washed with Gey's Balanced Salt Solution twice. The finally collected HSCs were cultured further in RPMI-1640 medium containing 10% FBS and 10% horse serum.

Isolation of Neutrophils

Neutrophils were obtained from the bone marrow of 8-week-old male C57B6/J mice with a neutrophil isolation kit (Miltenyi, San Diego, CA). The cell purity was more than 95%. The cells were further subject to culture.

Co-culture of Neutrophils and HSCs

HSCs were isolated and cultured in RPMI-1640 medium with 10% FBS and 10% horse serum. One day or 5 days later, the isolated neutrophils were added (1 × 106 cells per well of a 12-well-plate). The live neutrophil number was determined by using Trypan Blue staining 1–4 days later. The neutrophils were analyzed further with Wright-Giemsa staining (Sigma-Aldrich) and TUNEL staining (Millipore, Cleveland, OH). The HSC conditioned medium was prepared 24 hours after the refreshment of the medium of the 5-day cultured HSCs. When indicated, neutralizing antibodies against GM-CSF (cat number: MAB415-100; R&D, Minneapolis, MN) and IL-15 (cat number: AF447-SP; R&D) were applied to the co-culture system.

Engulfment Experiment

Bone marrow neutrophils and HSCs were isolated from the same mice. Neutrophils were fluorescently labeled with 5-Carboxytetramethylrhodamine Succinimidyl Ester (Molecular Probes, Inc, Eugene, OR) 10 μmol/L for 30 minutes at 37°C before induction of apoptosis by UV light (0–100 mJ/cm2 for 142 s). After 24 hours, the floating apoptotic bodies were collected by centrifugation at 2000g for 4 minutes and resuspended in Dulbecco's modified Eagle medium. HSCs were synchronized at 4°C for 10 minutes, then incubated for 24 hours at 37°C with fluorescent apoptotic bodies. Approximately 900 apoptotic bodies/mL were used for these experiments. Engulfment of fluorescent apoptotic bodies was studied by fluorescent microscopy; cells in 5 different fields were counted, and the ratio of engulfed apoptotic bodies was calculated.

Enzyme-Linked Immunosorbent Assay Analysis of GM-CSF

The concentration of GM-CSF in the culture supernatant of HSCs was measured with a GM-CSF enzyme-linked immunosorbent assay kit (R&D) according to the manufacturer's instructions.

Real-Time Quantitative PCR

Liver tissue or cell culture samples underwent total RNA extraction with TRIzol Reagent (Invitrogen, Carlsbad, CA) according to the manufacturer’s instructions, followed by cDNA synthesis using the High-Capacity cDNA Reverse Transcription Kit (Applied Systems, Foster City, CA). Real-time PCR analysis of gene expression was performed with the ABI PRISM 7500 Real-time PCR system (Applied Biosystems). The reaction mixture contained 3 μL cDNA (equal to 50 ng RNA), 0.5 μmol/L forward and reverse primers, and 10 μmol/L SYBR Green Master Mix (Abm, Ontario, Milton, Canada) adjusted to a total of 20 μL. Amplification was performed at 50°C for 2 minutes, 95°C for 10 minutes, followed by 40 cycles at 95°C for 15 seconds, and 60°C for 1 minute followed by melting curve profiling to confirm specificity. Target gene expression levels were calculated with normalization to 18S followed by a comparative cycle threshold Ct method (2-ΔΔCt). The primer sequences are shown in Table 1.
Table 1

Real-Time Quantitative PCR Primer Sequence Used in the Present Study

Gene nameForwardReverse
Acta2 (encodes α-SMA)TCCTGACGCTGAAGTATCCGATAGGTGCCAGATCTTTTCCATGTC
collagen 1a1TAGGCCATTGTGTATGCAGCACATGTTCAGCTTTGTGGACC
collagen 1a2GGTGAGCCTGGTCAAACGGACTGTGTCCTTTCACGCCTTT
collagen 3a1TAGGACTGACCAAGGTGGCTGGAACCTGGTTTCTTCTCACC
collagen 4a1CACATTTTCCACAGCCAGAGGTCTGGCTTCTGCTGCTCTT
collagen 5a2CATGGAGAAGGTTTCCAAATGAAAGCCCAGGAACAAGAGAA
collagen 12a1TGAGGTCTGGGTAAAGGCAAGTATGAGGTCACCGTCCAGG
Ly6gTGCGTTGCTCTGGAGATAGACAGAGTAGTGGGGCAGATG
Csf2 (encodes GM-CSF)CTGCTCTTCTCCACGCTACTGGAGACTCGCCGGTGTATCC
Csf3 (encodes G-CSF)CTGATCTTCTTGCTACTCCCCAGGTGTAGTTCAAGTGAGGCAG
IL3GGGATACCCACCGTTTAACCAAGGTTTACTCTCCGAAAGCTCTT
IL15ACATCCATCTCGTGCTACTTGTGCCTCTGTTTTAGGGAGACCT
EgfAGCATCTCTCGGATTGACCCACCTGTCCCGTTAAGGAAAACTCT
HgfATGTGGGGGACCAAACTTCTGGGATGGCGACATGAAGCAG
IL17aTTTAACTCCCTTGGCGCAAAACTTTCCCTCCGCATTGACAC
IL17fTGCTACTGTTGATGTTGGGACAATGCCCTGGTTTTGGTTGAA
Ly6gTGCGTTGCTCTGGAGATAGACAGAGTAGTGGGGCAGATGG
18sGTAACCCGTTGAACCCCATTCCATCCAATCGGTAGTAGCG

α-SMA, α-smooth muscle actin; Egf, epidermal growth factor; G-CSF, granulocyte colony-stimulating factor; Hgf, hepatocyte growth factor.

Real-Time Quantitative PCR Primer Sequence Used in the Present Study α-SMA, α-smooth muscle actin; Egf, epidermal growth factor; G-CSF, granulocyte colony-stimulating factor; Hgf, hepatocyte growth factor.

Statistical Analysis

Data are shown as means ± SEM. Data from 2 groups were compared with an unpaired t test. Data from multiple groups were compared with 1-way analysis of variance followed by the Tukey post hoc test. P < .05 was considered a significant difference.

Data

All authors had access to the study data and reviewed and approved the final manuscript.

Results

Microarray Analyses Show Strong Activation of Fibrosis and Neutrophilic Pathways in the Liver From Mice With HFD+1B Ethanol Challenge

We previously showed that 3-month HFD+1B induced significant liver injury, as shown by marked increases of serum ALT and AST levels.7, 8 To further understand the underlying molecular mechanisms, we analyzed hepatic gene expression by microarray in this model. Heat map (Figure 1A) and interactive Venn diagram (Figure 1B) analyses showed great differences in gene expression profile in various groups. Because HFD+1B challenge synergistically induced severe liver injury and liver inflammation whereas HFD or 1B alone only induced very mild liver injury, we further performed the pathway analyses in the differential expression genes of HFD+1B vs chow-fed mice. The results showed that the most strongly increased signal pathway was related to hepatic fibrosis and HSC activation (Figure 1C), suggesting a robust hepatic fibrogenic process in this model.
Figure 1

Acute ethanol binge and 3-month HFD feeding synergistically activate hepatic fibrosis and neutrophilic pathways. Microarray analysis was performed in the liver tissues from mice subjected to chow diet plus maltose gavage (chow), acute ethanol binge (5 g/kg, 1B), high-fat diet plus maltose gavage (HFD), or HFD-plus-ethanol binge (HFD+1B). (A) Heat map and (B) interactive Venn diagram analyses for genes showing ≥2 fold up-regulation or down-regulation compared with control in microarray data were shown. (C) Top 5 most highly increased pathways in HFD+1B vs chow control mice were listed. N = 4–5 in each group. LXR, liver X receptor; RXR, retinoid X receptor.

Acute ethanol binge and 3-month HFD feeding synergistically activate hepatic fibrosis and neutrophilic pathways. Microarray analysis was performed in the liver tissues from mice subjected to chow diet plus maltose gavage (chow), acute ethanol binge (5 g/kg, 1B), high-fat diet plus maltose gavage (HFD), or HFD-plus-ethanol binge (HFD+1B). (A) Heat map and (B) interactive Venn diagram analyses for genes showing ≥2 fold up-regulation or down-regulation compared with control in microarray data were shown. (C) Top 5 most highly increased pathways in HFD+1B vs chow control mice were listed. N = 4–5 in each group. LXR, liver X receptor; RXR, retinoid X receptor.

HFD+1B/mB Ethanol Challenge Induces Liver Fibrosis in Mice

Liver fibrosis was further confirmed by Sirius Red, Masson Trichrome staining, and reverse-transcription PCR (RT-PCR) analyses of fibrogenic genes. As illustrated in Figure 2A and B, a more pronounced chicken wire fibrosis was shown by Sirius Red or Masson Trichrome staining in the HFD+1B compared with chow or HFD groups, whereas body weight gain was comparable between these 2 groups. Real-time PCR analyses in Figure 2C showed that the HFD+1B group had higher expression levels of fibrosis-related genes, including multiple collagen genes and α-smooth muscle actin (Actn2) compared with chow or HFD group. Surprisingly, hepatic collagen levels were slightly increased in the HFD+1B group compared with the HFD group, but did not reach statistical difference (data not shown), which is probably because high basal levels of collagen in the liver structure overwhelmed the mild increase of collagen observed in this mild liver fibrosis model of HFD+1B feeding.
Figure 2

HFD-plus-one binge ethanol challenge induces liver fibrosis. Mice were subject to chow diet plus maltose gavage (chow), acute ethanol binge (5 g/kg, 1B), high-fat diet plus maltose gavage (HFD), or HFD-plus-ethanol binge (HFD+1B). Mice were euthanized 9 hours after gavage, and then liver samples were collected and analyzed. (A) Representative images of H&E staining, Sirius Red and Masson Trichrome staining of liver tissues. (B) Sirius Red–positive area was quantified, and body weight was measured. (C) Liver tissues were collected for quantitative RT-PCR analyses of fibrogenic genes. N = 6–7 in each group. *P < .05, **P < .01, ***P < .001.

HFD-plus-one binge ethanol challenge induces liver fibrosis. Mice were subject to chow diet plus maltose gavage (chow), acute ethanol binge (5 g/kg, 1B), high-fat diet plus maltose gavage (HFD), or HFD-plus-ethanol binge (HFD+1B). Mice were euthanized 9 hours after gavage, and then liver samples were collected and analyzed. (A) Representative images of H&E staining, Sirius Red and Masson Trichrome staining of liver tissues. (B) Sirius Red–positive area was quantified, and body weight was measured. (C) Liver tissues were collected for quantitative RT-PCR analyses of fibrogenic genes. N = 6–7 in each group. *P < .05, **P < .01, ***P < .001. Because liver fibrosis is typically a chronic pathologic process in response to repeated or sustained injury, we performed HFD+mB ethanol gavages. As shown in Figure 3A, HFD+mB ethanol binges caused significant liver fibrosis, as shown by Sirius Red and Masson Trichrome staining. Moreover, serum ALT and AST levels and hepatic collagen contents were higher in the HFD+mB group than in the HFD-plus-multiple maltose binges group (Figure 3B); whereas body weight was comparable between these 2 groups (Figure 3C). HFD+1B and HFD+mB mice had approximately 3-fold and 6-fold increases in Sirius Red–positive area, respectively, compared with their HFD+maltose groups (Figures 2B and 3B), suggesting that HFD+mB mice had higher levels of liver fibrosis than HFD+1B mice. Interestingly, quantitative RT-PCR analyses of the neutrophil marker Ly6g messenger RNA (mRNA) showed that hepatic neutrophils were increased much higher in HFD+1B compared with those in HFD+mB mice (Figure 3D). These results indicate that acute binge ethanol highly increased hepatic neutrophil infiltration in HFD-fed mice, while chronic binges of ethanol caused less hepatic neutrophil infiltration in these mice, which may be because the multiple binge model has passed the peak neutrophil infiltration phase.
Figure 3

HFD-plus-multiple binges of ethanol challenge induces liver fibrosis. (A–C) Male C57BL/6J mice were fed an HFD for 3 months, followed by 8 gavages of 5 g/kg ethanol (twice a week) (HFD+mB group), or isocaloric dextrin-maltose (HFD group), while continuing on HFD for an additional month. (A) Representative images are shown. (B and C) Serum ALT and AST levels, liver tissue collagen content, percentage of Sirius Red–positive area, as well as body weight were examined and are shown. (D) Liver tissues from different groups were subject to quantitative RT-PCR analyses of Ly6g mRNA. N = 6–7 in each group. *P < .05, **P < .01, ***P < .001.

HFD-plus-multiple binges of ethanol challenge induces liver fibrosis. (A–C) Male C57BL/6J mice were fed an HFD for 3 months, followed by 8 gavages of 5 g/kg ethanol (twice a week) (HFD+mB group), or isocaloric dextrin-maltose (HFD group), while continuing on HFD for an additional month. (A) Representative images are shown. (B and C) Serum ALT and AST levels, liver tissue collagen content, percentage of Sirius Red–positive area, as well as body weight were examined and are shown. (D) Liver tissues from different groups were subject to quantitative RT-PCR analyses of Ly6g mRNA. N = 6–7 in each group. *P < .05, **P < .01, ***P < .001.

Evidence for the Involvement of Neutrophils in the Pathogenesis of Liver Fibrosis Induced by HFD+1B Ethanol Feeding

Our previous work documented that neutrophils play an important role in inducing liver damage in the HFD+1B ethanol feeding model. To test whether neutrophils also contribute to the liver fibrosis in this model, we used 2 approaches to attenuate neutrophil infiltration via the inhibition of CXCL1 or ICAM-1, 2 important mediators for neutrophil infiltration. As shown in Figure 4A–C, blockade of CXCL1 with a neutralizing antibody or genetic disruption of the Cxcl1 gene markedly attenuated liver fibrosis in the HFD+1B ethanol-fed mice relative to IgG-treated or WT controls, as shown by the reduced Sirius Red–positive area and fibrosis-related gene expression. In addition, body weight gain was comparable between IgG- and anti-CXCL1 antibody-treated mice, and between WT and Cxcl1 knockout (KO) mice after HFD+1B feeding.
Figure 4

CXCL1 plays an important role in promoting liver fibrosis induced by HFD-plus-binge ethanol feeding model. (A) Male C57BL/6J mice were fed an HFD for 3 months and then injected intraperitoneally with control IgG or CXCL1 neutralizing antibody. Fifteen minutes later, mice were gavaged with 5 g/kg ethanol. Nine hours later the tissue samples were analyzed with Sirius Red staining and quantitative RT-PCR for fibrosis. (B) WT C57B/6J mice and Cxcl1 KO mice were subject to HFD+1B ethanol challenge, and mice were euthanized 9 hours after gavage. The liver samples were analyzed with Sirius Red staining and quantitative RT-PCR. Acta2 gene: encodes α-smooth muscle actin. Images represent 1 of 5 fields in each group. (C) Percentage of Sirius Red–positive area and body weight in panels A and B were statistically analyzed. (D) HSCs were isolated from C57BL/6J mice and then cultured, and subject to quantitative RT-PCR analysis of Cxcr2 mRNA. Neutrophils were used as a positive control analysis of Cxcr2 mRNA. (E) Cultured HSCs were incubated with 100 ng/mL CXCL1 or vehicle. Five days later, HSCs were collected and subject to quantitative RT-PCR analyses of fibrosis-related genes. (A–C) N = 5–6. (D) Data were from 2 independent experiments. (E) N = 3. *P < .05, **P < .01.

CXCL1 plays an important role in promoting liver fibrosis induced by HFD-plus-binge ethanol feeding model. (A) Male C57BL/6J mice were fed an HFD for 3 months and then injected intraperitoneally with control IgG or CXCL1 neutralizing antibody. Fifteen minutes later, mice were gavaged with 5 g/kg ethanol. Nine hours later the tissue samples were analyzed with Sirius Red staining and quantitative RT-PCR for fibrosis. (B) WT C57B/6J mice and Cxcl1 KO mice were subject to HFD+1B ethanol challenge, and mice were euthanized 9 hours after gavage. The liver samples were analyzed with Sirius Red staining and quantitative RT-PCR. Acta2 gene: encodes α-smooth muscle actin. Images represent 1 of 5 fields in each group. (C) Percentage of Sirius Red–positive area and body weight in panels A and B were statistically analyzed. (D) HSCs were isolated from C57BL/6J mice and then cultured, and subject to quantitative RT-PCR analysis of Cxcr2 mRNA. Neutrophils were used as a positive control analysis of Cxcr2 mRNA. (E) Cultured HSCs were incubated with 100 ng/mL CXCL1 or vehicle. Five days later, HSCs were collected and subject to quantitative RT-PCR analyses of fibrosis-related genes. (A–C) N = 5–6. (D) Data were from 2 independent experiments. (E) N = 3. *P < .05, **P < .01. We next wanted to know whether CXCL1 can directly affect HSC activation by analyzing the effect of CXCL1 on isolated HSCs. The CXCL1 receptor Cxcr2 mRNA was expressed at very low levels in freshly isolated and cultured HSCs, whereas its expression was much higher in neutrophils (Figure 4D). Moreover, in vitro treatment with CXCL1 had no effect on the expression of collagens in cultured HSCs (Figure 4E), suggesting that CXCL1 does not directly induce HSC activation. As expected, the Icam-1 KO mice had reduced hepatic neutrophil infiltration compared with WT mice, as shown by the lower number of MPO+ neutrophils (Figure 5A) and lower levels of Ly6g mRNA (Figure 5B). Serum ALT levels were lower in the Icam-1 KO mice than those in WT mice (Figure 5C). In addition, Sirius Red and Masson Trichrome staining showed that Icam-1 KO mice had lower levels of liver fibrosis than WT mice (Figure 5A), whereas body weight was comparable between these 2 groups (Figure 5D). Hepatic expression of several fibrogenic genes was also lower in Icam-1 KO mice than that in WT mice (Figure 5E).
Figure 5

WT and Icam-1 KO mice were subject to HFD+1B ethanol challenge, and mice were euthanized 9 hours after gavage. (A) Liver sections were stained with MPO, Sirius Red, and Masson Trichrome. Images represent 1 of 5 fields in each group. Arrows indicate MPO+ cells. (B) Quantitative RT-PCR analyses of neutrophil marker gene Ly6g. (C) Serum ALT levels were analyzed. (D) Percentage of Sirius Red–positive area and body weight were analyzed. (E) Quantitative RT-PCR analyses of fibrosis-related genes. (B–E) N = 5–7 in each group. *P < .05.

WT and Icam-1 KO mice were subject to HFD+1B ethanol challenge, and mice were euthanized 9 hours after gavage. (A) Liver sections were stained with MPO, Sirius Red, and Masson Trichrome. Images represent 1 of 5 fields in each group. Arrows indicate MPO+ cells. (B) Quantitative RT-PCR analyses of neutrophil marker gene Ly6g. (C) Serum ALT levels were analyzed. (D) Percentage of Sirius Red–positive area and body weight were analyzed. (E) Quantitative RT-PCR analyses of fibrosis-related genes. (B–E) N = 5–7 in each group. *P < .05.

ROS Production From Neutrophils Contributes to Liver Fibrosis

Our data suggest that neutrophils not only induce hepatocellular damage but also promote liver fibrosis in the HFD+1B ethanol feeding model. It is known that neutrophils induce hepatocellular damage by killing hepatocytes via the production of ROS. Here, we showed that HFD+1B ethanol-fed mice, which are known to have massive hepatic neutrophil infiltration, showed strong hepatic 4-HNE (a marker of lipid peroxidation/ROS) staining, whereas 4-HNE staining was absent in the liver from HFD-plus-maltose binged mice (Figure 6A). Thus, HFD+1B ethanol challenge promotes ROS production in the liver. To better define the role of ROS in the liver damage and fibrosis in this model, we used p47phox KO mice. p47phox, a critical component of the phagocytic reduced nicotinamide adenine dinucleotide phosphate oxidase, is expressed predominately in neutrophils, where it plays a key role in generating oxidative bursts. As shown in Figure 6B–D, p47phox KO mice had lower levels of hepatic malondialdehyde (ROS marker), Sirius Red staining, and serum ALT and AST compared with WT mice after HFD-plus-binge ethanol challenge, whereas MPO staining and quantitative RT-PCR analysis of neutrophil marker Ly6g showed that the number of hepatic neutrophils was comparable between WT and p47phox KO mice. Finally, body weight gain was comparable between WT and p47phox KO mice after HFD+1B challenge (Figure 6C).
Figure 6

KO mice have reduced liver damage and fibrosis in the HFD+1B ethanol model. (A) C57BL/6J mice were subject to HFD+1B ethanol or HFD-plus-maltose (HFD group) challenge. Liver tissues were collected and subject to 4-HNE staining. (B–D) WT and p47 KO mice were subject to HFD+1B ethanol challenge. Malondialdehyde Sirius Red, and MPO staining were performed on the liver tissue sections. (B) Representative images are shown, arrows indicate MPO+ cells). (C) Serum ALT and AST levels, percentage of Sirius Red–positive area, as well as body weight were measured. (D) Quantitative RT-PCR analyses of liver fibrosis-related genes and Ly6g mRNA. N = 4–7 in each group, *P < .05.

KO mice have reduced liver damage and fibrosis in the HFD+1B ethanol model. (A) C57BL/6J mice were subject to HFD+1B ethanol or HFD-plus-maltose (HFD group) challenge. Liver tissues were collected and subject to 4-HNE staining. (B–D) WT and p47 KO mice were subject to HFD+1B ethanol challenge. Malondialdehyde Sirius Red, and MPO staining were performed on the liver tissue sections. (B) Representative images are shown, arrows indicate MPO+ cells). (C) Serum ALT and AST levels, percentage of Sirius Red–positive area, as well as body weight were measured. (D) Quantitative RT-PCR analyses of liver fibrosis-related genes and Ly6g mRNA. N = 4–7 in each group, *P < .05.

Engulfment of Neutrophil Apoptotic Bodies Does Not Activate HSCs

Previous studies have documented that HSCs can engulf the apoptotic bodies of hepatocytes and subsequently become activated.24, 25 Neutrophils are short-lived cells and become apoptotic after activation. Indeed, apoptotic neutrophils frequently were observed in the livers from mice with HFD+1B or HFD+mB mice (data not shown). Thus, we hypothesized that HSCs become activated by engulfing neutrophil apoptotic bodies. To test this hypothesis, HSCs were incubated with neutrophil apoptotic bodies. Our data showed that HSCs significantly engulfed neutrophil apoptotic bodies (Figure 7A and B), but HSC activation was not enhanced because the expression of fibrosis-related genes were not increased after the engulfment of neutrophil apoptotic bodies (Figure 7C).
Figure 7

Engulfment of neutrophil apoptotic body (AB) does not activate HSCs. Neutrophils from the bone marrow and HSCs from the liver were isolated. The neutrophils were labeled with 5-Carboxytetramethylrhodamine Succinimidyl Ester and exposed to UV to generate apoptotic bodies. These apoptotic bodies were incubated with HSCs for 24 hours. (A and B) Engulfment was evaluated under a microscope. (A) Representative images are shown. (B) The phagocytosis/engulfment rate was calculated as the percentage of cells with intracellular 5-Carboxytetramethylrhodamine Succinimidyl Ester-labeled apoptotic bodies. (C) HSCs from panel B then were collected for quantitative RT-PCR assay to evaluate the expression of Col1a1, α-smooth muscle actin, and transforming growth factor β (Tgfb).

Engulfment of neutrophil apoptotic body (AB) does not activate HSCs. Neutrophils from the bone marrow and HSCs from the liver were isolated. The neutrophils were labeled with 5-Carboxytetramethylrhodamine Succinimidyl Ester and exposed to UV to generate apoptotic bodies. These apoptotic bodies were incubated with HSCs for 24 hours. (A and B) Engulfment was evaluated under a microscope. (A) Representative images are shown. (B) The phagocytosis/engulfment rate was calculated as the percentage of cells with intracellular 5-Carboxytetramethylrhodamine Succinimidyl Ester-labeled apoptotic bodies. (C) HSCs from panel B then were collected for quantitative RT-PCR assay to evaluate the expression of Col1a1, α-smooth muscle actin, and transforming growth factor β (Tgfb).

Activated HSCs Reduce the Spontaneous Apoptosis of Neutrophils Through the Production of GM-CSF and IL-15

To further test whether HSCs and neutrophils interact with each other, we performed immunostaining to determine the co-localization of neutrophils and HSCs. As shown in Figure 8A, co-localization of neutrophils (red staining) and HSCs (green staining) was clearly observed in the livers of HFD+ single or multiple ethanol binges.
Figure 8

Co-culture with HSCs reduces apoptosis and promotes survival of neutrophils. (A) Confocal immunofluorescence staining of MPO and desmin (a marker for HSCs) in the liver sections of HFD+1B or HFD+mB ethanol-fed mice. Only a few number of MPO+ cells were observed in this figure owing to extremely high magnification from confocal microscope analysis. (B) Mouse bone marrow neutrophils were cultured alone or with 1-day cultured HSCs (left panel) or 5-day cultured HSCs (right panel). The number of live neutrophils was counted and statistically analyzed. (C) Wright–Giemsa staining of the neutrophils cultured for 2 days with or without HSCs. Arrows indicate apoptotic neutrophils determined according to the morphology. (D) Statistical analysis of TUNEL+ neutrophils after culture for 1 or 2 days with or without HSCs. (A and C) Images represent 1 of at least 5 randomly selected fields. n = 3–4 in each group, *P < .05, **P < .01, ***P < .001. DAPI, 4′,6-diamidino-2-phenylindole.

Co-culture with HSCs reduces apoptosis and promotes survival of neutrophils. (A) Confocal immunofluorescence staining of MPO and desmin (a marker for HSCs) in the liver sections of HFD+1B or HFD+mB ethanol-fed mice. Only a few number of MPO+ cells were observed in this figure owing to extremely high magnification from confocal microscope analysis. (B) Mouse bone marrow neutrophils were cultured alone or with 1-day cultured HSCs (left panel) or 5-day cultured HSCs (right panel). The number of live neutrophils was counted and statistically analyzed. (C) Wright–Giemsa staining of the neutrophils cultured for 2 days with or without HSCs. Arrows indicate apoptotic neutrophils determined according to the morphology. (D) Statistical analysis of TUNEL+ neutrophils after culture for 1 or 2 days with or without HSCs. (A and C) Images represent 1 of at least 5 randomly selected fields. n = 3–4 in each group, *P < .05, **P < .01, ***P < .001. DAPI, 4′,6-diamidino-2-phenylindole. Neutrophils are known to activate HSCs via the production of ROS.26, 27 Here, we found that neutrophils underwent spontaneous apoptosis when they were cultured in vitro. Interestingly, co-culture with HSCs, especially day 5 HSCs, markedly increased the survival of neutrophils (Figure 8B). Neutrophils cultured by themselves showed a lot of cell debris and apoptotic features such as a shrinking and dissolving nucleus, whereas neutrophils co-cultured with activated day 5 HSCs were generally healthy as visualized by Wright–Giemsa staining (Figure 8C). Moreover, TUNEL staining showed that the percentage of TUNEL+ apoptotic neutrophils was lower in cells co-cultured with activated HSCs for 1 or 2 days compared with neutrophils cultured by themselves (Figure 8D). To analyze the mechanisms by which activated HSCs delayed the spontaneous apoptosis of neutrophils, we examined the expression of several cytokines or growth factors that are known to improve the survival of neutrophils. As shown in Figure 9A, expression of colony stimulating factor (Csf)3, which encodes G-CSF, Il17f, and Egf was lower, whereas expression of Csf2, which encodes GM-CSF, and Il15 was significantly higher in activated HSCs compared with quiescent HSCs. Enzyme-linked immunosorbent assay analyses showed that cultured HSCs produced GM-CSF proteins (Figure 9B). Expression of Hgf mRNA remained unchanged (Figure 9A) and expression of Il3 and Il17a was undetectable (data not shown). Moreover, hepatic expression of csf2 was not up-regulated, whereas Il15 expression was increased in mice exposed to HFD+1B feeding (Figure 9C and D). Finally, compared with hepatocytes, HSCs expressed much higher levels of Csf2 and Il15 (Figure 9E).
Figure 9

HSCs delay the spontaneous apoptosis of cultured neutrophils via the secretion of GM-CSF and IL-15. (A) Quantitative RT-PCR analyses of mRNA expression levels of cytokines and growth factors in 1-day or 5-day cultured HSCs. N = 3 in each group. (B) Concentrations of GM-CSF from cultured HSCs were analyzed with an enzyme-linked immunosorbent assay. Values were obtained from 4 independent experiments. (C and D) Quantitative RT-PCR analyses of Csf2 and Il15 mRNA expression levels from HFD+1B vs HFD groups. N = 4–6 in each group. (E) Csf2 and Il15 expression in primary hepatocytes and HSCs after 1-day culture. N = 3–7 in each group. (F) Neutrophils were cultured with 5-day cultured HSCs or HSC-conditioned medium as well as neutralizing antibodies against GM-CSF or IL-15 as indicated. The number of live cells was counted and statically analyzed. N = 4–8 in each group. *P < .05, **P < .01, ***P < .001 vs control medium group, #P < .05 vs neutrophils + HSCs group. Egf, epidermal growth factor; Hgf, hepatocyte growth factor.

HSCs delay the spontaneous apoptosis of cultured neutrophils via the secretion of GM-CSF and IL-15. (A) Quantitative RT-PCR analyses of mRNA expression levels of cytokines and growth factors in 1-day or 5-day cultured HSCs. N = 3 in each group. (B) Concentrations of GM-CSF from cultured HSCs were analyzed with an enzyme-linked immunosorbent assay. Values were obtained from 4 independent experiments. (C and D) Quantitative RT-PCR analyses of Csf2 and Il15 mRNA expression levels from HFD+1B vs HFD groups. N = 4–6 in each group. (E) Csf2 and Il15 expression in primary hepatocytes and HSCs after 1-day culture. N = 3–7 in each group. (F) Neutrophils were cultured with 5-day cultured HSCs or HSC-conditioned medium as well as neutralizing antibodies against GM-CSF or IL-15 as indicated. The number of live cells was counted and statically analyzed. N = 4–8 in each group. *P < .05, **P < .01, ***P < .001 vs control medium group, #P < .05 vs neutrophils + HSCs group. Egf, epidermal growth factor; Hgf, hepatocyte growth factor. To further determine whether HSC-derived GM-CSF and IL-15 protected against neutrophil apoptosis, neutralizing antibodies against these cytokines were used. As shown in Figure 9F, treatment with GM-CSF or IL-15 neutralizing antibodies reduced neutrophil survival in co-culture with HSCs.

Discussion

Obesity and alcohol abuse are 2 major predisposing factors for liver diseases. Our previous study established a clinically relevant HFD-plus-binge ethanol feeding model to explore the synergistic effect of these 2 risk factors on liver injury,7, 8, 9 and showed a critical role for neutrophils in the hepatocellular damage in this model. In the present study, we performed microarray analyses and identified that the most up-regulated pathway after HFD-plus-binge ethanol challenge was related to liver fibrosis and HSC activation. Further analyses showed that neutrophils and HSCs reciprocally regulate each other to promote liver fibrogenesis. It is well established that feeding mice with an HFD diet alone causes massive steatosis but little liver fibrosis. One of the noteworthy findings in the present study was that adding a single or multiple binges of ethanol to chronic HFD feeding resulted in significant fibrosis, as shown by Sirius Red staining, RT-PCR analyses of fibrogenesis-related genes, as well as microarray analyses. We also provide several lines of evidence to indicate that neutrophils contribute to liver fibrosis in this steatohepatitis model. First, blockade of CXCL1, a critical chemokine to attract neutrophils, via the disruption of the Cxcl1 gene or treatment with a neutralizing anti-CXCL1 antibody, reduced hepatic neutrophil infiltration and liver fibrosis. Second, disruption of the Icam-1 gene that encodes ICAM-1 protein, a key adhesion molecule for neutrophil recruitment, also attenuated neutrophil infiltration and liver fibrosis in this model. The possible contribution of neutrophils to liver fibrosis was postulated based on results using an in vitro culture system in which neutrophils activate the HSCs to express collagen genes through the production of ROS. In the current study, we show that disruption of the p47 gene, which encodes an important ROS-producing enzyme in neutrophils, ameliorates liver fibrosis induced by HFD-plus-binge ethanol challenge, providing in vivo evidence that neutrophils promote liver fibrogenesis via the production of ROS. Although p47phox is expressed predominantly in neutrophils, other cell types (eg, macrophages and so forth) also express p47phox protein at lower levels. Therefore, it is plausible that p47phox from other cell types also may contribute, to a lesser extent, to liver damage and fibrosis induced by HFD-plus-binge ethanol feeding. Another important and unexpected finding from our study was that activated HSCs support the survival of neutrophils. Neutrophils have a short half-life of 6–8 hours and the liver is a major site where apoptotic neutrophils are removed via uptake by Kupffer cells. Spontaneous apoptosis is a key feature of neutrophils, and we also observed apoptotic neutrophils in the liver from HFD-plus-binge ethanol-fed mice. Because it was reported that hepatocyte apoptotic bodies can activate HSCs,24, 25 we tested the hypothesis that neutrophil apoptosis also may activate HSCs. However, our data showed that in vitro exposure to apoptotic neutrophils did not induce HSC activation but, instead, activated HSCs markedly promoted neutrophil survival. Furthermore, we provided 2 lines of evidence that the protective function of HSCs against neutrophil death is mediated via the production of GM-CSF and IL-15, which are 2 growth factors that play a critical role in sustaining the survival of neutrophils.29, 30, 31 First, highly purified HSCs produced high levels of GM-CSF and IL-15. Second, incubation with anti–GM-CSF or anti-IL-15 antibodies diminished the protective function of HSCs against neutrophil death. However, we could not rule out that HSCs also may produce other growth factors in addition to GM-CSF and IL-15 to promote neutrophil survival, and other cell types (eg, hepatocytes, macrophages, and so forth) also may produce survival factors for neutrophils in vivo. Interestingly, the genetic polymorphism I148M of the Pnpla3 gene is strongly associated with steatohepatitis and fibrosis, and primary human I148M HSCs were shown to have significantly higher expression of GM-CSF. Thus, it is plausible to speculate that the association of the I148M Pnpla3 gene in HSCs with liver fibrosis is mediated via the production of GM-CSF, which promotes neutrophil survival and activation. In addition, our present data suggest that HSCs also produce IL-15 and this cytokine promotes neutrophil survival. However, a recent study reported that IL-15 exerted a direct antifibrotic function by binding to IL15R on HSCs. Thus, IL-15 may play a dual role in the control of liver fibrogenesis via the direct inhibition of HSC activation and via the promotion of neutrophil survival. The next obvious question is what the significance of HSC-mediated induction of neutrophil survival is. It is well known that spontaneous apoptosis of neutrophils ensures the termination of acute neutrophilic inflammation and transition to the resolution or chronic phase during organ damage.34, 35 One of the beneficial consequences of the prolonged survival of neutrophils is that they may help to clear the damaged hepatocytes during liver injury, but these neutrophils also may nonspecifically cause more hepatocyte damage and liver fibrosis via the production of ROS. In addition, it is known that the liver plays a key role in the activation of innate immunity against bacterial infection, and injured livers may become more susceptible to bacterial infection owing to the decreased antibacterial defense. Thus, prolonged survival of neutrophils induced by HSCs may help control bacterial infection during liver injury.

Clinical and Therapeutic Implications

A clear clinical implication of our findings using the HFD-plus-binge ethanol feeding model is that obese individuals with severe fatty liver disease may be vulnerable to develop liver fibrosis, especially upon binge drinking. Patients with fatty liver diseases should be given sufficient education about the consequence of binge drinking and should be monitored more carefully. Our findings also suggest several therapeutic targets for the treatment of steatohepatitis. First, hepatic neutrophil infiltration mediated by CXCL1 is a critical step for both liver damage and liver fibrosis in the synergistic effect of obesity and alcohol binge drinking. High levels of hepatic CXCL1 and CXCL8/IL-8 expression also were reported in human nonalcohol steatohepatitis. Thus, CXCL1 and CXCL8/IL-8 may be potential therapeutic targets for steatohepatitis. Second, we found a close interplay between HSCs and neutrophils. Neutrophils induce hepatocyte damage but activate the HSCs via the production of ROS, thereby triggering liver fibrosis. Supporting the anti-oxidative capacity of hepatocytes may reduce liver damage and subsequently inhibit liver fibrosis. Finally, activated HSCs may promote the survival of neutrophils. Interfering with this effect by blocking the local function of GM-CSF and IL-15 may alleviate detrimental effects of neutrophils in inducing liver injury and inflammation. However, neutrophils also play an important role in suppressing bacterial infection and promoting liver regeneration. Recently, a clinical trial reported that treatment with G-CSF improved survival in patients with severe alcoholic hepatitis, which may be mediated via the G-CSF activation of neutrophils and subsequent inhibition of bacterial infection. Therefore, anti–GM-CSF treatment, which may be beneficial for the control of neutrophil overactivation, should be used with caution in patients with liver disease.
  40 in total

1.  The PNPLA3 I148M variant modulates the fibrogenic phenotype of human hepatic stellate cells.

Authors:  Francesca Virginia Bruschi; Thierry Claudel; Matteo Tardelli; Alessandra Caligiuri; Thomas M Stulnig; Fabio Marra; Michael Trauner
Journal:  Hepatology       Date:  2017-04-18       Impact factor: 17.425

2.  Interleukin-15 receptor α on hepatic stellate cells regulates hepatic fibrogenesis in mice.

Authors:  Jingjing Jiao; Kohtaro Ooka; Holger Fey; Maria Isabel Fiel; Adeeb H Rahmman; Kensuke Kojima; Yujin Hoshida; Xintong Chen; Tatiana de Paula; Diana Vetter; David Sastre; Ka Hin Lee; Youngmin Lee; Meena Bansal; Scott L Friedman; Miriam Merad; Costica Aloman
Journal:  J Hepatol       Date:  2016-05-03       Impact factor: 25.083

3.  A histologic scoring system for prognosis of patients with alcoholic hepatitis.

Authors:  José Altamirano; Rosa Miquel; Aezam Katoonizadeh; Juan G Abraldes; Andrés Duarte-Rojo; Alexandre Louvet; Salvador Augustin; Rajeshwar P Mookerjee; Javier Michelena; Thomas C Smyrk; David Buob; Emmanuelle Leteurtre; Diego Rincón; Pablo Ruiz; Juan Carlos García-Pagán; Carmen Guerrero-Marquez; Patricia D Jones; A Sidney Barritt; Vicente Arroyo; Miquel Bruguera; Rafael Bañares; Pere Ginès; Juan Caballería; Tania Roskams; Frederik Nevens; Rajiv Jalan; Philippe Mathurin; Vijay H Shah; Ramón Bataller
Journal:  Gastroenterology       Date:  2014-01-15       Impact factor: 22.682

4.  Damage-associated molecular pattern-activated neutrophil extracellular trap exacerbates sterile inflammatory liver injury.

Authors:  Hai Huang; Samer Tohme; Ahmed B Al-Khafaji; Sheng Tai; Patricia Loughran; Li Chen; Shu Wang; Jiyun Kim; Timothy Billiar; Yanming Wang; Allan Tsung
Journal:  Hepatology       Date:  2015-05-29       Impact factor: 17.425

5.  Hyperoxidized albumin modulates neutrophils to induce oxidative stress and inflammation in severe alcoholic hepatitis.

Authors:  Sukanta Das; Jaswinder Singh Maras; Md Shabir Hussain; Shvetank Sharma; Paul David; Sukriti Sukriti; Saggere Muralikrishna Shasthry; Rakhi Maiwall; Nirupama Trehanpati; Tej P Singh; Shiv Kumar Sarin
Journal:  Hepatology       Date:  2016-12-19       Impact factor: 17.425

6.  STAT1 inhibits liver fibrosis in mice by inhibiting stellate cell proliferation and stimulating NK cell cytotoxicity.

Authors:  Won-Il Jeong; Ogyi Park; Svetlana Radaeva; Bin Gao
Journal:  Hepatology       Date:  2006-12       Impact factor: 17.425

7.  Granulocyte colony-stimulating factor in severe alcoholic hepatitis: a randomized pilot study.

Authors:  Virendra Singh; Arun K Sharma; R Lakshmi Narasimhan; Ashish Bhalla; Navneet Sharma; Ratiram Sharma
Journal:  Am J Gastroenterol       Date:  2014-06-17       Impact factor: 10.864

Review 8.  Neutrophil kinetics in health and disease.

Authors:  Charlotte Summers; Sara M Rankin; Alison M Condliffe; Nanak Singh; A Michael Peters; Edwin R Chilvers
Journal:  Trends Immunol       Date:  2010-08       Impact factor: 16.687

9.  Involvement of reactive oxygen species and nitric oxide radicals in activation and proliferation of rat hepatic stellate cells.

Authors:  G Svegliati-Baroni; S Saccomanno; H van Goor; P Jansen; A Benedetti; H Moshage
Journal:  Liver       Date:  2001-02

10.  G-CSF therapy for severe alcoholic hepatitis: targeting liver regeneration or neutrophil function?

Authors:  Richard Moreau; Pierre-Emmanuel Rautou
Journal:  Am J Gastroenterol       Date:  2014-09       Impact factor: 10.864

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  45 in total

1.  MicroRNA-223 Ameliorates Nonalcoholic Steatohepatitis and Cancer by Targeting Multiple Inflammatory and Oncogenic Genes in Hepatocytes.

Authors:  Yong He; Seonghwan Hwang; Yan Cai; Seung-Jin Kim; Mingjiang Xu; Dingcheng Yang; Adrien Guillot; Dechun Feng; Wonhyo Seo; Xin Hou; Bin Gao
Journal:  Hepatology       Date:  2019-06-05       Impact factor: 17.425

Review 2.  Pericytes in the Liver.

Authors:  Enis Kostallari; Vijay H Shah
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 2.622

3.  Targeting SYK signaling in myeloid cells protects against liver fibrosis and hepatocarcinogenesis.

Authors:  Alejandro Torres-Hernandez; Wei Wang; Yuri Nikiforov; Karla Tejada; Luisana Torres; Aleksandr Kalabin; Yue Wu; Muhammad Israr Ul Haq; Mohammed Y Khan; Zhen Zhao; Wenyu Su; Jimmy Camargo; Mautin Hundeyin; Brian Diskin; Salma Adam; Juan A Kochen Rossi; Emma Kurz; Berk Aykut; Sorin A A Shadaloey; Joshua Leinwand; George Miller
Journal:  Oncogene       Date:  2019-02-11       Impact factor: 9.867

Review 4.  Inflammatory pathways in alcoholic steatohepatitis.

Authors:  Bin Gao; Maleeha F Ahmad; Laura E Nagy; Hidekazu Tsukamoto
Journal:  J Hepatol       Date:  2019-02       Impact factor: 25.083

5.  Knockout of microRNA-21 attenuates alcoholic hepatitis through the VHL/NF-κB signaling pathway in hepatic stellate cells.

Authors:  Nan Wu; Kelly McDaniel; Tianhao Zhou; Sugeily Ramos-Lorenzo; Chaodong Wu; Li Huang; Demeng Chen; Tami Annable; Heather Francis; Shannon Glaser; Gianfranco Alpini; Fanyin Meng
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2018-05-31       Impact factor: 4.052

Review 6.  The liver fibrosis niche: Novel insights into the interplay between fibrosis-composing mesenchymal cells, immune cells, endothelial cells, and extracellular matrix.

Authors:  Michitaka Matsuda; Ekihiro Seki
Journal:  Food Chem Toxicol       Date:  2020-07-05       Impact factor: 6.023

7.  Molecular Genetic and Immune Functional Responses Distinguish Bone Marrow Mesenchymal Stromal Cells from Hepatic Stellate Cells.

Authors:  Raghavan Chinnadurai; Jenna Sands; Devi Rajan; Xiao Liu; Dalia Arafat; Rahul Das; Frank A Anania; Greg Gibson; Tatiana Kisseleva; Jacques Galipeau
Journal:  Stem Cells       Date:  2019-05-09       Impact factor: 6.277

Review 8.  The Role of Innate Immune Cells in Nonalcoholic Fatty Liver Disease.

Authors:  Marina Nati; Kyoung-Jin Chung; Triantafyllos Chavakis
Journal:  J Innate Immun       Date:  2021-08-24       Impact factor: 7.349

Review 9.  Nonalcoholic steatohepatitis: the role of peroxisome proliferator-activated receptors.

Authors:  Sven Francque; Gyongyi Szabo; Manal F Abdelmalek; Christopher D Byrne; Kenneth Cusi; Jean-François Dufour; Michael Roden; Frank Sacks; Frank Tacke
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2020-10-22       Impact factor: 46.802

Review 10.  Recent advances in alcohol-related liver disease (ALD): summary of a Gut round table meeting.

Authors:  Matias A Avila; Jean-François Dufour; Alexander L Gerbes; Fabien Zoulim; Ramon Bataller; Patrizia Burra; Helena Cortez-Pinto; Bin Gao; Ian Gilmore; Philippe Mathurin; Christophe Moreno; Vladimir Poznyak; Bernd Schnabl; Gyongyi Szabo; Maja Thiele; Mark R Thursz
Journal:  Gut       Date:  2019-12-26       Impact factor: 23.059

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