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896A AASLD ABSTRACTS HEPATOLOGY, October, 2015<br />

1403<br />

Modulation of Extracellular Matrix Remodeling by Activation<br />

of the Aryl Hydrocarbon Receptor<br />

Cheri L. Lamb 1,2 , Kristen A. Mitchell 1,2 ; 1 Biological Sciences, Boise<br />

State University, Boise, ID; 2 Biomolecular Sciences Ph.D. Program,<br />

Boise State University, Boise, ID<br />

The aryl hydrocarbon receptor (AhR) is a soluble, ligand-activated<br />

transcription factor involved in developmental processes,<br />

xenobiotic metabolism, and adaptation to environmental stress.<br />

Recent evidence indicates that this receptor may also contribute<br />

to wound healing processes. We recently found that exposure<br />

to the potent AhR agonist 2,3,7,8 tetrachlorodibenzo-p-dioxin<br />

(TCDD) increases activation of hepatic stellate cells, which<br />

contribute to hepatic wound healing and fibrosis through the<br />

deposition of extracellular matrix material, namely collagen<br />

type I. The goal of the present study was to determine how<br />

TCDD treatment impacts matrix deposition and remodeling<br />

activities during experimental liver fibrosis elicited by carbon<br />

tetrachloride (CCl 4<br />

). Male C57Bl/6 mice were treated with<br />

CCl 4<br />

(5 ml/kg diluted 1:10 in corn oil) twice a week for eight<br />

weeks. During the final two weeks, mice were treated with<br />

TCDD (20 μg/kg by gavage) or vehicle (peanut oil). Collagen<br />

deposition was measured by cytohistological staining and<br />

evaluated by polarized microscopy. Levels of matrix enzymes<br />

and associated regulatory proteins were measured by qPCR,<br />

and activity was assessed by in situ zymography. Results indicate<br />

that TCDD treatment increased Col1a1 mRNA levels and<br />

altered the pattern of collagen deposition in the fibrotic septa.<br />

Exposure to TCDD also increased in situ collagenase activity<br />

in the fibrotic liver with a concomitant 4-fold increase in matrix<br />

metalloproteinase-13 mRNA levels. Inhibitors of matrix metalloproteinases,<br />

namely PAI-1 and TIMP-1, were increased in<br />

TCDD-treated mice, which could reflect direct AhR transcriptional<br />

activity or else a compensatory response to elevated<br />

collagenase activity. Collectively, these results indicate that<br />

TCDD-induced AhR activation not only increases fibrogenesis,<br />

but also perturbs extracellular matrix remodeling activities in<br />

the fibrotic liver. Hence, these findings implicate a previously<br />

unidentified role for the AhR in modulating wound healing<br />

responses in the liver and may provide a basis for designing<br />

therapeutic strategies to limit fibrosis by modulating AhR activation.<br />

Disclosures:<br />

The following authors have nothing to disclose: Cheri L. Lamb, Kristen A. Mitchell<br />

1404<br />

MicroRNA profiling of circulating exosomes in HBV cirrhosis<br />

patients following anti-HBV therapy<br />

Min Cong 1 , Li Chen 2 , Tianhui Liu 1 , Ping Wang 1 , Jidong Jia 1 , David<br />

Brigstock 2 , Hong You 1 ; 1 Liver Research Center, Beijing Friendship<br />

Hospital, Beijing, China; 2 The research Institute at Nationwide<br />

Children’s Hospital, Columbus, OH<br />

Aim: The objective of our study is to establish serum exosomal<br />

microRNA (miR) signatures to predict progression and reversion<br />

of fibrosis in hepatitis B (HBV)–induced cirrhosis undergoing<br />

anti-viral therapy. Methods: Twelve HBV patients with<br />

compensated cirrhosis were selected based on their cirrhosis<br />

regression (decreased Fibroscan values of > 5kPa) or progression<br />

(increased or stable Fibroscan values) after treatment for 6<br />

months with Entecavir (0.5mg/day oral), respectively. Twelve<br />

matched healthy blood donors were used as a reference control<br />

group. Serum (0.5ml) from the HBV patients, before or<br />

after therapy, or from the controls was individually processed<br />

to purify exosomes from which small RNA was then isolated.<br />

Samples in each group were pooled and analyzed using a<br />

Human miRNome PCR array to profile the1066 most abundantly<br />

expressed human miR sequences using SYBR Green real<br />

time PCR. Circulating exosomalmiRs were isolated from 8 other<br />

compensated cirrhosis HBV patients who presented with cirrhosis<br />

regression or progression to validate the change of selected<br />

exosomalmiRs by qRT-PCR. Results: Compared with control<br />

subjects, 59 out of 1066 miRs from 12 regressed cirrhosis<br />

HBV patients were up- or down-regulated at least 15-fold in the<br />

cirrhotic patients, with 46 out of 59 miRs showing correction<br />

(to more healthy) after therapy. Among the miRs identified in<br />

this unbiased analysis were miR-7, -15b, -16, -22, -26a, -27b,<br />

-29, -92b, -101, -183, -191, -196a, -200a, -370, -378a and<br />

-936 and let-7a-g which have been reported in the literature to<br />

be fibrosis-related in the liver or other organ systems. Analysis<br />

of exosomalmiRs from 12 progressed cirrhosis HBV patients<br />

showed that these miRs were less corrected as compared to<br />

the regressed patients and that different miRs served to discriminate<br />

these patients from the healthy controls. qRT-PCR analysis<br />

of exosomalmiRs from 8 cirrhosis HBV patients, before or after<br />

therapy, showed that miR-16,-20a,-25,-148a,-223,-320d were<br />

significantly decreased while miR-126,-191 were significantly<br />

increased in progressed patients. Conclusions: These data<br />

reveal that the circulating exosomalmiR content varies according<br />

to the stage of HBV fibrosis and that exosomalmiRs show<br />

quantitative and qualitative changes that reflect the patients’<br />

clinical course of fibrosis regression or progression after anti-viral<br />

treatment. Since circulating exosomalmiRs change dynamically<br />

with disease status, these findings highlight the possibility<br />

of identifying discriminatory miR signatures that are diagnostic<br />

or predictive for fibrosis and that can be obtained longitudinally<br />

and non-invasively in individual patients.<br />

Disclosures:<br />

Jidong Jia - Consulting: BMS, MSD, Roche<br />

David Brigstock - Stock Shareholder: FibroGen<br />

The following authors have nothing to disclose: Min Cong, Li Chen, Tianhui Liu,<br />

Ping Wang, Hong You<br />

1405<br />

Identification of Axon guidance signaling pathway<br />

mediators in hepatic stellate cells and liver fibrogenesis<br />

Jinsheng Guo 1 , David Zhang 2 , Yujing Wu 1 , Daisuke Hasegawa 2 ,<br />

Scott L. Friedman 1,2 ; 1 Division of Digestive Diseases, Zhong Shan<br />

Hospital, Fu Dan University, Shanghai, China; 2 Division of Liver<br />

Diseases, Icahn School of Medicine at Mount Sinai, New York, NY<br />

Background&Aims: Hepatic stellate cells (HSC) have many<br />

features of neural cells including expression of glial fibrillary<br />

protein, nestin and neurotrophin receptors. We recently used<br />

an informatics based approach to identify novel transcripts<br />

expressed by stellate cells encoding cell surface and secreted<br />

proteins (Zhang DY et al, Gut, 2015, in press). Among these,<br />

Robo2 is a cell surface molecule implicated in axon guidance.<br />

The aim of our study was to identify the novel signaling pathway<br />

and key molecules in liver fibrogenesis by dynamic network<br />

analysis of liver transcriptomes. Methods&Results: Two<br />

experimental models of hepatic fibrosis were employed by<br />

intraperitoneally injection of diethylnitrosamine (DEN, 10mg/<br />

kg/week) in mice for 14 weeks, or by intraperitoneal injections<br />

of carbon tetrachloride (CCl4, 0.9ml/kg/biw) for four weeks.<br />

In the DMN model, the liver samples were collected at 0, 6, 8<br />

and 14 weeks post DEN treatment for RNA sequencing. The<br />

transcriptomic data associated with development of liver fibrosis<br />

(i.e., injury, early fibrotic, late fibrotic or cirrhotic stages)<br />

were applied to time-series analysis, followed by network<br />

and pathway analyses. Among markedly up-regulated genes

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