Publications

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70 Publications visible to you, out of a total of 70

Abstract (Expand)

OBJECTIVE: Although glial cell line-derived neurotrophic factor (GDNF) is a member of the transforming growth factor-beta superfamily, its function in liver fibrosis has rarely been studied. Here, we investigated the role of GDNF in hepatic stellate cell (HSC) activation and liver fibrosis in humans and mice. DESIGN: GDNF expression was examined in liver biopsies and sera from patients with liver fibrosis. The functional role of GDNF in liver fibrosis was examined in mice with adenoviral delivery of the GDNF gene, GDNF sgRNA CRISPR/Cas9 and the administration of GDNF-blocking antibodies. GDNF was examined on HSC activation using human and mouse primary HSCs. The binding of activin receptor-like kinase 5 (ALK5) to GDNF was determined using surface plasmon resonance (SPR), molecular docking, mutagenesis and co-immunoprecipitation. RESULTS: GDNF mRNA and protein levels are significantly upregulated in patients with stage F4 fibrosis. Serum GDNF content correlates positively with alpha-smooth muscle actin (alpha-SMA) and Col1A1 mRNA in human fibrotic livers. Mice with overexpressed GDNF display aggravated liver fibrosis, while mice with silenced GDNF expression or signalling inhibition by GDNF-blocking antibodies have reduced fibrosis and HSC activation. GDNF is confined mainly to HSCs and contributes to HSC activation through ALK5 at His(39) and Asp(76) and through downstream signalling via Smad2/3, but not through GDNF family receptor alpha-1 (GFRalpha1). GDNF, ALK5 and alpha-SMA colocalise in human and mouse HSCs, as demonstrated by confocal microscopy. CONCLUSIONS: GDNF promotes HSC activation and liver fibrosis through ALK5/Smad signalling. Inhibition of GDNF could be a novel therapeutic strategy to combat liver fibrosis.

Authors: L. Tao, W. Ma, L. Wu, M. Xu, Y. Yang, W. Zhang, W. Sha, H. Li, J. Xu, R. Feng, D. Xue, J. Zhang, S. Dooley, E. Seki, P. Liu, C. Liu

Date Published: 6th Jun 2019

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Authors: Ersin Karatayli, Rabea A. Hall, Susanne N. Weber, Steven Dooley, Frank Lammert

Date Published: 1st Feb 2019

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Authors: S Hammad, JG Hengstler, S Dooley

Date Published: 2019

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Authors: S Dooley, W Fan, S Hammad, K Gould, T Longerich, T Liu, W Chen, C Liu, J Hou, J Jia, B Sun

Date Published: 2019

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Authors: B Dewidar, A Dropmann, K Gould, V Hartwig, C Dormann, S Dooley, S Hammad

Date Published: 2019

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Authors: B Dewidar, S Hammad, MP Ebert, JG Hengstler, S Dooley

Date Published: 2019

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Authors: S Hammad, U Dahmen, A Othman, I Recklinghausen, JG Hengstler, U Klingmüller, S Dooley

Date Published: 2019

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Authors: M Han, ZC Nwosu, MP Ebert, S Hammad, S Dooley, C Meyer

Date Published: 2019

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Authors: S Hammad, J Zhao, Y Yin, A Zaza, D Drasdo, JG Hengstler, S Dooley

Date Published: 2019

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Authors: T Lin, S Wang, C Shao, X Yuan, F Wandrer, H Bantel, MP Ebert, H Ding, S Dooley, HL Weng

Date Published: 2019

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Authors: S Wang, R Feng, X Yuan, F Wandrer, MP Ebert, H Bantel, H Li, S Dooley, HL Weng

Date Published: 2019

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Authors: S Hammad, W Fan, T Liu, W Chen, K Gould, T Longerich, I Haußer-Siller, J Hou, J Jia, B Sun, S Dooely

Date Published: 2019

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Abstract (Expand)

BACKGROUND: Automated image analysis enables quantitative measurement of steatosis in histological images. However, spatial heterogeneity of steatosis can make quantitative steatosis scores unreliable. To improve the reliability, we have developed novel scores that are "focused" on steatotic tissue areas. METHODS: Focused scores use concepts of tile-based hotspot analysis in order to compute statistics about steatotic tissue areas in an objective way. We evaluated focused scores on three data sets of images of rodent liver sections exhibiting different amounts of dietary-induced steatosis. The same evaluation was conducted with the standard steatosis score computed by most image analysis methods. RESULTS: The standard score reliably discriminated large differences in steatosis (intraclass correlation coefficient ICC = 0.86), but failed to discriminate small (ICC = 0.54) and very small (ICC = 0.14) differences. With an appropriate tile size, mean-based focused scores reliably discriminated large (ICC = 0.92), small (ICC = 0.86) and very small (ICC = 0.83) differences. Focused scores based on high percentiles showed promise in further improving the discrimination of very small differences (ICC = 0.93). CONCLUSIONS: Focused scores enable reliable discrimination of small differences in steatosis in histological images. They are conceptually simple and straightforward to use in research studies.

Authors: A. Homeyer, S. Hammad, L. O. Schwen, U. Dahmen, H. Hofener, Y. Gao, S. Dooley, A. Schenk

Date Published: 20th Sep 2018

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Abstract (Expand)

BACKGROUND: Although metabolism is profoundly altered in human liver cancer, the extent to which experimental models, e.g. cell lines, mimic those alterations is unresolved. Here, we aimed to determine the resemblance of hepatocellular carcinoma (HCC) cell lines to human liver tumours, specifically in the expression of deregulated metabolic targets in clinical tissue samples. METHODS: We compared the overall gene expression profile of poorly-differentiated (HLE, HLF, SNU-449) to well-differentiated (HUH7, HEPG2, HEP3B) HCC cell lines in three publicly available microarray datasets. Three thousand and eighty-five differentially expressed genes in >/=2 datasets (P < 0.05) were used for pathway enrichment and gene ontology (GO) analyses. Further, we compared the topmost gene expression, pathways, and GO from poorly differentiated cell lines to the pattern from four human HCC datasets (623 tumour tissues). In well- versus poorly differentiated cell lines, and in representative models HLE and HUH7 cells, we specifically assessed the expression pattern of 634 consistently deregulated metabolic genes in human HCC. These data were complemented by quantitative PCR, proteomics, metabolomics and assessment of response to thirteen metabolism-targeting compounds in HLE versus HUH7 cells. RESULTS: We found that poorly-differentiated HCC cells display upregulated MAPK/RAS/NFkB signaling, focal adhesion, and downregulated complement/coagulation cascade, PPAR-signaling, among pathway alterations seen in clinical tumour datasets. In HLE cells, 148 downregulated metabolic genes in liver tumours also showed low gene/protein expression - notably in fatty acid beta-oxidation (e.g. ACAA1/2, ACADSB, HADH), urea cycle (e.g. CPS1, ARG1, ASL), molecule transport (e.g. SLC2A2, SLC7A1, SLC25A15/20), and amino acid metabolism (e.g. PHGDH, PSAT1, GOT1, GLUD1). In contrast, HUH7 cells showed a higher expression of 98 metabolic targets upregulated in tumours (e.g. HK2, PKM, PSPH, GLUL, ASNS, and fatty acid synthesis enzymes ACLY, FASN). Metabolomics revealed that the genomic portrait of HLE cells co-exist with profound reliance on glutamine to fuel tricarboxylic acid cycle, whereas HUH7 cells use both glucose and glutamine. Targeting glutamine pathway selectively suppressed the proliferation of HLE cells. CONCLUSIONS: We report a yet unappreciated distinct expression pattern of clinically-relevant metabolic genes in HCC cell lines, which could enable the identification and therapeutic targeting of metabolic vulnerabilities at various liver cancer stages.

Authors: Z. C. Nwosu, N. Battello, M. Rothley, W. Pioronska, B. Sitek, M. P. Ebert, U. Hofmann, J. Sleeman, S. Wolfl, C. Meyer, D. A. Megger, S. Dooley

Date Published: 5th Sep 2018

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Authors: Ahmed Ghallab, Ute Hofmann, Selahaddin Sezgin, Nachiket Vartak, Reham Hassan, Ayham Zaza, Patricio Godoy, Kai Markus Schneider, Georgia Guenther, Yasser A Ahmed, Aya A Abbas, Verena Keitel, Lars Kuepfer, Steven Dooley, Frank Lammert, Christian Trautwein, Michael Spiteller, Dirk Drasdo, Alan F Hofmann, Peter L M Jansen, Jan G Hengstler, Raymond Reif

Date Published: 13th Aug 2018

Publication Type: Not specified

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