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87 Publications visible to you, out of a total of 87

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BACKGROUND: Transjugular intrahepatic shunt (TIPSS) is placed in patients with variceal bleeding, refractory ascites, and for other indications. Postprocedural liver function-associated complications (LFAC), including hepatic encephalopathy (HE) and liver failure, represent a major setback. Current methods to predict complications are insufficient. OBJECTIVES: We investigated in a pilot study of patients prior TIPSS placement whether the risk of LFAC correlates with the functional reserve of the liver, as assessed by liver maximum function capacity (LiMAx) test. METHODS: Prospectively we included patients prior TIPSS placement between June 2016 and November 2017 at Saarland University Medical Center. LiMAx was conducted before and after TIPSS placement. Patients with HE prior TIPSS, as well as other factors predisposing to HE, including concomitant sedative drugs, current bacterial infections and sepsis, were excluded. Overt HE (OHE), LiMAx, and laboratory values were assessed before and after TIPSS placement. Data were analyzed in multivariate regression and AUROC models. RESULTS: Mean age was 60 +/- 8 years. Patients (n = 20) were mainly men (65%), and presented predominantly with Child-Pugh class B (90%). Indications for TIPSS were most commonly refractory ascites or recurrent variceal bleeding. In total, 40% of the patients developed LFAC after TIPSS placement. Expectedly, LiMAx decreased and serum bilirubin increased after TIPSS. LiMAx drop >/=20% was the only parameter predicting the development of LFAC after TIPSS in multivariate regression and AUROC analysis. CONCLUSIONS: In multivariate regression models and AUROC analysis, a drop in LiMAx predicted the development of LFAC after TIPSS placement. Additional larger studies assessing OHE and early liver failure separately are warranted.

Authors: M. C. Reichert, A. Schulz, A. Massmann, A. Buecker, M. Glanemann, F. Lammert, M. Malinowski

Date Published: 17th Oct 2019

Publication Type: Journal

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Computational systems biology involves integrating heterogeneous datasets in order to generate models. These models can assist with understanding and prediction of biological phenomena. Generating datasets and integrating them into models involves a wide range of scientific expertise. As a result these datasets are often collected by one set of researchers, and exchanged with others researchers for constructing the models. For this process to run smoothly the data and models must be FAIR-findable, accessible, interoperable, and reusable. In order for data and models to be FAIR they must be structured in consistent and predictable ways, and described sufficiently for other researchers to understand them. Furthermore, these data and models must be shared with other researchers, with appropriately controlled sharing permissions, before and after publication. In this chapter we explore the different data and model standards that assist with structuring, describing, and sharing. We also highlight the popular standards and sharing databases within computational systems biology.

Authors: N. J. Stanford, M. Scharm, P. D. Dobson, M. Golebiewski, M. Hucka, V. B. Kothamachu, D. Nickerson, S. Owen, J. Pahle, U. Wittig, D. Waltemath, C. Goble, P. Mendes, J. Snoep

Date Published: 12th Oct 2019

Publication Type: Not specified

Abstract (Expand)

Transcriptome profiling followed by differential gene expression analysis often leads to lists of genes that are hard to analyze and interpret. Functional genomics tools are powerful approaches for downstream analysis, as they summarize the large and noisy gene expression space into a smaller number of biological meaningful features. In particular, methods that estimate the activity of processes by mapping transcripts level to process members are popular. However, footprints of either a pathway or transcription factor (TF) on gene expression show superior performance over mapping-based gene sets. These footprints are largely developed for humans and their usability in the broadly-used model organism Mus musculus is uncertain. Evolutionary conservation of the gene regulatory system suggests that footprints of human pathways and TFs can functionally characterize mice data. In this paper we analyze this hypothesis. We perform a comprehensive benchmark study exploiting two state-of-the-art footprint methods, DoRothEA and an extended version of PROGENy. These methods infer TF and pathway activity, respectively. Our results show that both can recover mouse perturbations, confirming our hypothesis that footprints are conserved between mice and humans. Subsequently, we illustrate the usability of PROGENy and DoRothEA by recovering pathway/TF-disease associations from newly generated disease sets. Additionally, we provide pathway and TF activity scores for a large collection of human and mouse perturbation and disease experiments (2374). We believe that this resource, available for interactive exploration and download (https://saezlab.shinyapps.io/footprint_scores/), can have broad applications including the study of diseases and therapeutics.

Authors: Christian H. Holland, Bence Szalai, Julio Saez-Rodriguez

Date Published: 1st Sep 2019

Publication Type: Not specified

Abstract (Expand)

The prediction of transcription factor (TF) activities from the gene expression of their targets (i.e., TF regulon) is becoming a widely used approach to characterize the functional status of transcriptional regulatory circuits. Several strategies and data sets have been proposed to link the target genes likely regulated by a TF, each one providing a different level of evidence. The most established ones are (1) manually curated repositories, (2) interactions derived from ChIP-seq binding data, (3) in silico prediction of TF binding on gene promoters, and (4) reverse-engineered regulons from large gene expression data sets. However, it is not known how these different sources of regulons affect the TF activity estimations and, thereby, downstream analysis and interpretation. Here we compared the accuracy and biases of these strategies to define human TF regulons by means of their ability to predict changes in TF activities in three reference benchmark data sets. We assembled a collection of TF–target interactions for 1541 human TFs and evaluated how different molecular and regulatory properties of the TFs, such as the DNA-binding domain, specificities, or mode of interaction with the chromatin, affect the predictions of TF activity. We assessed their coverage and found little overlap on the regulons derived from each strategy and better performance by literature-curated information followed by ChIP-seq data. We provide an integrated resource of all TF–target interactions derived through these strategies, with confidence scores, as a resource for enhanced prediction of TF activities.

Authors: Luz Garcia-Alonso, Christian H. Holland, Mahmoud M. Ibrahim, Denes Turei, Julio Saez-Rodriguez

Date Published: 1st Aug 2019

Publication Type: Not specified

Abstract (Expand)

Two polymorphisms in the promoter region of macrophage migration inhibitory factor (MIF) - rs755622 and rs5844572 - exhibit prognostic relevance in inflammatory diseases. The aim of this study was to investigate a correlation between these MIF promoter polymorphisms and the severity of hepatitis C virus (HCV)-induced liver fibrosis. Our analysis included two independent patient cohorts with HCV-induced liver fibrosis (504 and 443 patients, respectively). The genotype of the single nucleotide polymorphism (SNP) -173 G/C and the repeat number of the microsatellite polymorphism -794 CATT5-8 were determined in DNA samples and correlated with fibrosis severity. In the first cohort, homozygous carriers of the C allele in the rs755622 had lower fibrosis stages compared to heterozygous carriers or wild types (1.25 vs. 2.0 vs. 2.0; p = 0.03). Additionally, >/=7 microsatellite repeats were associated with lower fibrosis stages (<F2) (p = 0.04). Comparable tendencies were observed in the second independent cohort, where fibrosis was assessed using transient elastography. However, once cirrhosis had been established, the C/C genotype and higher microsatellite repeats correlated with impaired liver function and a higher prevalence of hepatocellular carcinoma. Our study demonstrates that specific MIF polymorphisms are associated with disease severity and complications of HCV-induced fibrosis in a stage- and context-dependent manner.

Authors: T. H. Wirtz, P. Fischer, C. Backhaus, I. Bergmann, E. F. Brandt, D. Heinrichs, M. T. Koenen, K. M. Schneider, T. Eggermann, I. Kurth, C. Stoppe, J. Bernhagen, T. Bruns, J. Fischer, T. Berg, C. Trautwein, M. L. Berres

Date Published: 31st Jul 2019

Publication Type: Journal

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BACKGROUND & AIMS: Activation of transforming growth factor beta (TGFB) promotes liver fibrosis by activating hepatic stellate cells (HSCs), but the mechanism of TGFB activation are not clear. We investigated the role of extracellular matrix protein 1 (ECM1), which interacts with extracellular and structural proteins, in TGFB activation in livers of mice. METHODS: We performed studies with e C57BL/6J mice (controls), ECM1-knockout (ECM1-KO) mice, and mice with hepatocyte-specific knockout of EMC1 (ECM1Deltahep). ECM1 or soluble TGFB receptor 2 (TGFBR2) were expressed in livers of mice following injection of an adeno-associated virus vector. Liver fibrosis was induced by carbon tetrachloride (CCl4) administration. Livers were collected from mice and analyzed by histology, immunohistochemistry, in situ hybridization, and immunofluorescence analyses. Hepatocytes and HSCs were isolated from livers of mice and incubated with ECM1; production of cytokines and activation of reporter genes were quantified. Liver tissues from patients with viral or alcohol-induced hepatitis (with different stages of fibrosis) and individuals with healthy liver were analyzed by immunohistochemistry and in situ hybridization. RESULTS: ECM1-KO mice spontaneously developed liver fibrosis and died by 2 months of age without significant hepatocyte damage or inflammation. In liver tissues of mice, we found that ECM1 stabilized extracellular matrix-deposited TGFB in its inactive form by interacting with alphav integrins to prevent activation of HSCs. In liver tissues from patients and in mice with CCl4-induced liver fibrosis, we found an inverse correlation between level of ECM1 and severity of fibrosis. CCl4-induced liver fibrosis was accelerated in ECM1Deltahep mice compared with control mice. Hepatocytes produced the highest levels of ECM1 in livers of mice. Ectopic expression of ECM1 or soluble TGFBR2 in liver prevented fibrogenesis in ECM1-KO mice and prolonged their survival. Ectopic expression of ECM1 in liver also reduced the severity of CCl4-induced fibrosis in mice. CONCLUSIONS: ECM1, produced by hepatocytes, inhibits activation of TGFB and its activation of HSCs to prevent fibrogenesis in mouse liver. Strategies to increase levels of ECM1 in liver might be developed for treatment of fibrosis.

Authors: W. Fan, T. Liu, W. Chen, S. Hammad, T. Longerich, Y. Fu, N. Li, Y. He, C. Liu, Y. Zhang, Q. Lian, X. Zhao, C. Yan, L. Li, C. Yi, Z. Ling, L. Ma, X. Zhao, H. Xu, P. Wang, M. Cong, H. You, Z. Liu, Y. Wang, J. Chen, D. Li, L. Hui, S. Dooley, J. Hou, J. Jia, B. Sun

Date Published: 27th Jul 2019

Publication Type: Not specified

Abstract (Expand)

BACKGROUND & AIMS: Alpha-1 antitrypsin deficiency (AATD) is among the most common genetic disorders. Severe AATD is caused by a homozygous mutation in the SERPINA1 gene that encodes the Glu342Lys substitution (called the Pi*Z mutation, Pi*ZZ genotype). Pi*ZZ carriers may develop lung and liver diseases. Mutation-associated lung disorders have been well studied, but less is known about the effects in liver. We assessed the liver disease burden and associated features in adults with this form of AATD. METHODS: We collected data from 554 Pi*ZZ adults (403 in an exploratory cohort, 151 in a confirmatory cohort), in 9 European countries, with AATD who were homozygous for the Pi*Z mutation, and 234 adults without the Pi*Z mutation (controls), all without pre-existing liver disease. We collected data on demographic parameters, comorbidities, lung- and liver-related health, and blood samples for laboratory analysis. Liver fibrosis was assessed non-invasively via the serum tests Aspartate Aminotransferase to Platelet Ratio Index and HepaScore and via transient elastography. Liver steatosis was determined via transient elastography-based controlled attenuation parameter. We performed histologic analyses of livers from transgenic mice that overexpress the AATD-associated Pi*Z variant. RESULTS: Serum levels of liver enzymes were significantly higher in Pi*ZZ carriers vs controls. Based on non-invasive tests for liver fibrosis, significant fibrosis was suspected in 20%-36% of Pi*ZZ carriers, whereas signs of advanced fibrosis were 9- to 20-fold more common in Pi*ZZ carriers compared to non-carriers. Male sex; age older than 50 years; increased levels of alanine aminotransferase, aspartate aminotransferase, or gamma-glutamyl transferase; and low numbers of platelets were associated with higher liver fibrosis burden. We did not find evidence for a relationship between lung function and liver fibrosis. Controlled attenuation parameter >/=280 dB/m, suggesting severe steatosis, was detected in 39% of Pi*ZZ carriers vs 31% of controls. Carriers of Pi*ZZ had lower serum concentrations of triglyceride and low- and very-low-density lipoprotein cholesterol than controls, suggesting impaired hepatic secretion of lipid. Livers from Pi*Z-overexpressing mice had steatosis and down-regulation of genes involved in lipid secretion. CONCLUSIONS: In studies of AATD adults with the Pi*ZZ mutation, and of Pi*Z-overexpressing mice, we found evidence of liver steatosis and impaired lipid secretion. We identified factors associated with significant liver fibrosis in patients, which could facilitate hepatologic assessment and counseling of individuals who carry the Pi*ZZ mutation. ClinicalTrials.gov Number NCT02929940.

Authors: K. Hamesch, M. Mandorfer, V. M. Pereira, L. S. Moeller, M. Pons, G. E. Dolman, M. C. Reichert, C. V. Schneider, V. Woditsch, J. Voss, C. Lindhauer, M. Fromme, I. Spivak, N. Guldiken, B. Zhou, A. Arslanow, B. Schaefer, H. Zoller, E. Aigner, T. Reiberger, M. Wetzel, B. Siegmund, C. Simoes, R. Gaspar, L. Maia, D. Costa, M. Bento-Miranda, J. van Helden, E. Yagmur, D. Bzdok, J. Stolk, W. Gleiber, V. Knipel, W. Windisch, R. Mahadeva, R. Bals, R. Koczulla, M. Barrecheguren, M. Miravitlles, S. Janciauskiene, F. Stickel, F. Lammert, R. Liberal, J. Genesca, W. J. Griffiths, M. Trauner, A. Krag, C. Trautwein, P. Strnad

Date Published: 24th May 2019

Publication Type: Not specified

Abstract (Expand)

Repeated administration of hepatotoxicants is usually accompanied by liver fibrosis. However, the difference in response as a result of repeated exposures of acetaminophen (APAP) compared to a single dose is not well-studied. Therefore, in the current study, the liver response after a second dose of APAP was investigated. Adult fasted Balb/C mice were exposed to two toxic doses of 300 mg/kg APAP, which were administered 72 h apart from each other. Subsequently, blood and liver from the treated mice were collected 24 h and 72 h after both APAP admin-istrations. Liver transaminase, i.e. alanine amino transferase (ALT) and aspartate amino transferase (AST) levels revealed that the fulminant liver damage was reduced after the second APAP administration compared to that observed at the same time point after the first treatment. These results correlated with the necrotic areas as indicated by histological analyses. Surprisingly, Picro Sirius Red (PSR) staining showed that the accumulation of extracel-lular matrix after the second dose coincides with the upregulation of some fibrogenic signatures, e.g., alpha smooth muscle actin. Non-targeted liver tissue metabolic profiling indicates that most alterations occur 24 h after the first dose of APAP. However, the levels of most metabolites recover to basal values over time. This organ adaptation process is also confirmed by the upregulation of antioxidative systems like e.g. superoxide dismutase and catalase. From the results, it can be concluded that there is a different response of the liver to APAP toxic doses, if the liver has already been exposed to APAP. A necroinflammatory process followed by a liver regeneration was observed after the first APAP exposure. However, fibrogenesis through the accumulation of extracellular matrix is observed after a second challenge. Therefore, further studies are required to mechanistically understand the so called “liver memory”

Author: Mohammad AlWahsh, Amnah Othman, Lama Hamadneh, Ahmad Telfah, Jörg Lambert, Suhair Hikmat, Amin Alassi, Fatma El Zahraa Mohamed, Roland Hergenröder, Tariq Al-Qirim, Steven Dooley, Seddik Hammad

Date Published: 6th Feb 2019

Publication Type: Not specified

Abstract

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

Date Published: 1st Feb 2019

Publication Type: Not specified

Abstract (Expand)

Data standards support the reliable exchange of information, the interoperability of tools, and the reproducibility of scientific results. In systems biology standards are agreed ways of structuring, describing, and associating models and data, as well as their respective parts, graphical visualization, and information about applied experimental or computational methods. Such standards also assist with describing how constituent parts interact together, or are linked, and how they are embedded in their environmental and experimental context. Here the focus will be on standards for formatting models and their content, and on metadata checklists and ontologies that support modeling.

Author: Martin Golebiewski

Date Published: 2019

Publication Type: InBook

Abstract

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Authors: Amruta Damle-Vartak, Brigitte Begher-Tibbe, Georgia Gunther, Fabian Geisler, Nachiket Vartak, Jan G. Hengstler

Date Published: 2019

Publication Type: Book

Abstract (Expand)

BACKGROUND AND AIMS: ACLF is usually associated with a precipitant in the setting of a chronically damaged liver. We aim to combine a mouse model with a pre-injured liver (Abcb4/Mdr2(-/-)) with a recently standardized ethanol feeding model to dissect alcohol-related inflammatory responses in this model. METHOD: Ten (n=64) and 15 (n=64) week old wild-type (WT) C57BL/6J and Abcb4(-/-) knock-out (KO) mice were either fed control (WT/Cont and KO/Cont groups) or liquid ethanol diet (5% v/v) followed by an ethanol binge (4mg/kg) (WT/EtOH and KO/EtOH groups). Hepatic mRNA levels of IL6, IFN-G, IL-1B, TGFB1, TNF-A, CCL2, HGF, CRP, RANTES, PNPLA3 and COL3A1 were evaluated using the 2(-DeltaDeltaCt) method. IL6 and HGF plasma levels were quantified by ELISA. RESULTS: Older mice in KO/EtOH group displayed higher IL6 expressions compared to KO/Cont, WT/EtOH and WT/Cont groups of the same age, whereas HGF did not differ. Significant over-expression of CCL2 also corresponded to the same group. Males in KO/EtOH group exhibited higher IL6 expression than females. Lipid droplets were observed in about 80% of mice challenged with ethanol. There was a profound downregulation in PNPLA3 and RANTES levels after ethanol exposure. Mean size of the LDs was inversely correlated with hepatic PNPLA3 levels. CONCLUSION: We propose a novel promising approach to model alcohol-related ACLI. Acute inflammatory IL6-driven response might help transition from a stable chronic state to a progressive liver damage in Abcb4(-/-) mice. Repression of PNPLA3 resulted in a notable expansion in size of lipid droplets, indicating lipid remodeling in this model.

Authors: E. Karatayli, R. A. Hall, S. N. Weber, S. Dooley, F. Lammert

Date Published: 15th Nov 2018

Publication Type: Not specified

Abstract

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Authors: Matthias Reichert, Frank Lammert

Date Published: 24th Oct 2018

Publication Type: Not specified

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

Publication Type: Not specified

Abstract (Expand)

MicroRNA (miRNA)-mediated gene regulation contributes to liver pathophysiology, including hepatic stellate cell (HSC) activation and fibrosis progression. Here, we investigated the role of miR-942 in human liver fibrosis. The expression of miR-942, HSC activation markers, transforming growth factor-beta pseudoreceptor BMP and activin membrane-bound inhibitor (BAMBI), as well as collagen deposition, were investigated in 100 liver specimens from patients with varying degree of hepatitis B virus (HBV)-related fibrosis. Human primary HSCs and the immortalized cell line (LX2 cells) were used for functional studies. We found that miR-942 expression was upregulated in activated HSCs and correlated inversely with BAMBI expression in liver fibrosis progression. Transforming growth factor beta (TGF-beta) and lipopolyssacharide (LPS), two major drivers of liver fibrosis and inflammation, induce miR-942 expression in HSCs via Smad2/3 respective NF-kappaB/p50 binding to the miR-942 promoter. Mechanistically, the induced miR-942 degrades BAMBI mRNA in HSCs, thereby sensitizing the cells for fibrogenic TGF-beta signaling and also partly mediates LPS-induced proinflammatory HSC fate. In conclusion, the TGF-beta and LPS-induced miR-942 mediates HSC activation through downregulation of BAMBI in human liver fibrosis. Our study provides new insights on the molecular mechanism of HSC activation and fibrosis.

Authors: L. Tao, D. Xue, D. Shen, W. Ma, J. Zhang, X. Wang, W. Zhang, L. Wu, K. Pan, Y. Yang, Z. C. Nwosu, S. Dooley, E. Seki, C. Liu

Date Published: 12th Aug 2018

Publication Type: Not specified

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