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377 Publications visible to you, out of a total of 377
Genetic variation in TERT modifies the risk of hepatocellular carcinoma in alcohol-related cirrhosis: results from a genome-wide case-control study

Abstract (Expand)

Objective Hepatocellular carcinoma (HCC) often develops in patients with alcohol-related cirrhosis at an annual risk of up to 2.5%. Some host genetic risk factors have been identified but do not account …tors have been identified but do not account for the majority of the variance in occurrence. This study aimed to identify novel susceptibility loci for the development of HCC in people with alcohol related cirrhosis. Design Patients with alcohol-related cirrhosis and HCC (cases: n=1214) and controls without HCC (n=1866), recruited from Germany, Austria, Switzerland, Italy and the UK, were included in a two-stage genome-wide association study using a case–control design. A validation cohort of 1520 people misusing alcohol but with no evidence of liver disease was included to control for possible association effects with alcohol misuse. Genotyping was performed using the InfiniumGlobal Screening Array (V.24v2, Illumina) and the OmniExpress Array (V.24v1-0a, Illumina). Results Associations with variants rs738409 in PNPLA3 and rs58542926 in TM6SF2 previously associated with an increased risk of HCC in patients with alcohol-related cirrhosis were confirmed at genome-wide significance. A novel locus rs2242652(A) in TERT (telomerase reverse transcriptase) was also associated with a decreased risk of HCC, in the combined meta-analysis, at genome-wide significance (p=6.41×10 −9 , OR=0.61 (95% CI 0.52 to 0.70). This protective association remained significant after correction for sex, age, body mass index and type 2 diabetes (p=7.94×10 −5 , OR=0.63 (95% CI 0.50 to 0.79). Carriage of rs2242652(A) in TERT was associated with an increased leucocyte telomere length (p=2.12×10 −44 ). Conclusion This study identifies rs2242652 in TERT as a novel protective factor for HCC in patients with alcohol-related cirrhosis.

Authors: Stephan Buch, Hamish Innes, Philipp Ludwig Lutz, Hans Dieter Nischalke, Jens U Marquardt, Janett Fischer, Karl Heinz Weiss, Jonas Rosendahl, Astrid Marot, Marcin Krawczyk, Markus Casper, Frank Lammert, Florian Eyer, Arndt Vogel, Silke Marhenke, Johann von Felden, Rohini Sharma, Stephen Rahul Atkinson, Andrew McQuillin, Jacob Nattermann, Clemens Schafmayer, Andre Franke, Christian Strassburg, Marcella Rietschel, Heidi Altmann, Stefan Sulk, Veera Raghavan Thangapandi, Mario Brosch, Carolin Lackner, Rudolf E Stauber, Ali Canbay, Alexander Link, Thomas Reiberger, Mattias Mandorfer, Georg Semmler, Bernhard Scheiner, Christian Datz, Stefano Romeo, Stefano Ginanni Corradini, William Lucien Irving, Joanne R Morling, Indra Neil Guha, Eleanor Barnes, M Azim Ansari, Jocelyn Quistrebert, Luca Valenti, Sascha A Müller, Marsha Yvonne Morgan, Jean-François Dufour, Jonel Trebicka, Thomas Berg, Pierre Deltenre, Sebastian Mueller, Jochen Hampe, Felix Stickel

Date Published: 5th Jan 2023

Publication Type: Journal

Digital twin demonstrates significance of biomechanical growth control in liver regeneration after partial hepatectomy

Abstract

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Authors: Stefan Hoehme, Seddik Hammad, Jan Boettger, Brigitte Begher-Tibbe, Petru Bucur, Eric Vibert, Rolf Gebhardt, Jan G. Hengstler, Dirk Drasdo

Date Published: 2023

Publication Type: Journal

Capsaicin receptor TRPV1 maintains quiescence of hepatic stellate cells in the liver via recruitment of SARM1

Abstract

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Authors: Le Tao, Guangyue Yang, Tiantian Sun, Jie Tao, Chan Zhu, Huimin Yu, Yalan Cheng, Zongguo Yang, Mingyi Xu, Yuefeng Jiang, Wei Zhang, Zhiyi Wang, Wenting Ma, Liu Wu, Dongying Xue, Dongxue Wang, Wentao Yang, Yongjuan Zhao, Shane Horsefield, Bostjan Kobe, Zhe Zhang, Zongxiang Tang, Qigen Li, Qiwei Zhai, Steven Dooley, Ekihiro Seki, Ping Liu, Jianrong Xu, Hongzhuan Chen, Cheng Liu

Date Published: 2023

Publication Type: Journal

Hepatocytes reprogram liver macrophages involving control of TGF-β activation, influencing liver regeneration and injury

Abstract (Expand)

Background: Macrophages play an important role in maintaining liver homeostasis and regeneration. However, it is not clear to what extent the different macrophage populations of the liver differ in … terms of their activation state and which other liver cell populations may play a role in regulating the same. Methods: Reverse transcription PCR, flow cytometry, transcriptome, proteome, secretome, single cell analysis, and immunohistochemical methods were used to study changes in gene expression as well as the activation state of macrophages in vitro and in vivo under homeostatic conditions and after partial hepatectomy. Results: We show that F4/80+/CD11bhi/CD14hi macrophages of the liver are recruited in a C-C motif chemokine receptor (CCR2)–dependent manner and exhibit an activation state that differs substantially from that of the other liver macrophage populations, which can be distinguished on the basis of CD11b and CD14 expressions. Thereby, primary hepatocytes are capable of creating an environment in vitro that elicits the same specific activation state in bone marrow–derived macrophages as observed in F4/80+/CD11bhi/CD14hi liver macrophages in vivo. Subsequent analyses, including studies in mice with a myeloid cell–specific deletion of the TGF-β type II receptor, suggest that the availability of activated TGF-β and its downregulation by a hepatocyte-conditioned milieu are critical. Reduction of TGF-βRII-mediated signal transduction in myeloid cells leads to upregulation of IL-6, IL-10, and SIGLEC1 expression, a hallmark of the activation state of F4/80+/CD11bhi/CD14hi macrophages, and enhances liver regeneration. Conclusions: The availability of activated TGF-β determines the activation state of specific macrophage populations in the liver, and the observed rapid transient activation of TGF-β may represent an important regulatory mechanism in the early phase of liver regeneration in this context.

Authors: Stephanie D. Wolf, Christian Ehlting, Sophia Müller-Dott, Gereon Poschmann, Patrick Petzsch, Tobias Lautwein, Sai Wang, Barbara Helm, Marcel Schilling, Julio Saez-Rodriguez, Mihael Vucur, Kai Stühler, Karl Köhrer, Frank Tacke, Steven Dooley, Ursula Klingmüller, Tom Luedde, Johannes G. Bode

Date Published: 2023

Publication Type: Journal

The Diagnostic Approach towards Combined Hepatocellular-Cholangiocarcinoma—State of the Art and Future Perspectives

Abstract (Expand)

Combined hepatocellular-cholangiocarcinoma (cHCC-CCA) is a rare primary liver cancer which displays clinicopathologic features of both hepatocellular (HCC) and cholangiocellular carcinoma (CCA). The …oma (CCA). The similarity to HCC and CCA makes the diagnostic workup particularly challenging. Alpha-fetoprotein (AFP) and carbohydrate antigen 19-9 (CA 19-9) are blood tumour markers related with HCC and CCA, respectively. They can be used as diagnostic markers in cHCC-CCA as well, albeit with low sensitivity. The imaging features of cHCC-CCA overlap with those of HCC and CCA, dependent on the predominant histopathological component. Using the Liver Imaging and Reporting Data System (LI-RADS), as many as half of cHCC-CCAs may be falsely categorised as HCC. This is especially relevant since the diagnosis of HCC may be made without histopathological confirmation in certain cases. Thus, in instances of diagnostic uncertainty (e.g., simultaneous radiological HCC and CCA features, elevation of CA 19-9 and AFP, HCC imaging features and elevated CA 19-9, and vice versa) multiple image-guided core needle biopsies should be performed and analysed by an experienced pathologist. Recent advances in the molecular characterisation of cHCC-CCA, innovative diagnostic approaches (e.g., liquid biopsies) and methods to analyse multiple data points (e.g., clinical, radiological, laboratory, molecular, histopathological features) in an all-encompassing way (e.g., by using artificial intelligence) might help to address some of the existing diagnostic challenges.

Authors: Johannes Eschrich, Zuzanna Kobus, Dominik Geisel, Sebastian Halskov, Florian Roßner, Christoph Roderburg, Raphael Mohr, Frank Tacke

Date Published: 2023

Publication Type: Journal

Mapping the hepatic immune landscape identifies monocytic macrophages as key drivers of steatohepatitis and cholangiopathy progression

Abstract

Not specified

Authors: Adrien Guillot, Marc Winkler, Milessa Silva Afonso, Abhishek Aggarwal, David Lopez, Hilmar Berger, Marlene S. Kohlhepp, Hanyang Liu, Burcin Özdirik, Johannes Eschrich, Jing Ma, Moritz Peiseler, Felix Heymann, Swetha Pendem, Sangeetha Mahadevan, Bin Gao, Lauri Diehl, Ruchi Gupta, Frank Tacke

Date Published: 2023

Publication Type: Journal

Hepatic C-X-C chemokine receptor type 6–expressing innate lymphocytes limit detrimental myeloid hyperactivation in acute liver injury

Abstract

Not specified

Authors: Felix Heymann, Jana C. Mossanen, Moritz Peiseler, Patricia M. Niemietz, Bruna Araujo David, Oliver Krenkel, Anke Liepelt, Matheus Batista Carneiro, Marlene S. Kohlhepp, Paul Kubes, Frank Tacke

Date Published: 2023

Publication Type: Journal

In Vitro Models for the Study of Liver Biology and Diseases: Advances and Limitations

Abstract

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Authors: Savneet Kaur, Srivatsan Kidambi, Martí Ortega-Ribera, Le Thi Thanh Thuy, Natalia Nieto, Victoria C. Cogger, Wei-Fen Xie, Frank Tacke, Jordi Gracia-Sancho

Date Published: 2023

Publication Type: Journal

Therapeutic modulation of the liver immune microenvironment

Abstract

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Authors: Herbert Tilg, Timon E. Adolph, Frank Tacke

Date Published: 2023

Publication Type: Journal

The Multifaceted Roles of Macrophages in NAFLD Pathogenesis

Abstract

Not specified

Authors: Joscha Vonderlin, Triantafyllos Chavakis, Michael Sieweke, Frank Tacke

Date Published: 2023

Publication Type: Journal

Retinoic acid generates a beneficial microenvironment for liver progenitor cell activation in acute liver failure

Abstract

Not specified

Authors: Sai Wang, Frederik Link, Rilu Feng, Stefan Munker, Yujia Li, Roman Liebe, Matthias P. Ebert, Steven Dooley, Huiguo Ding, Shanshan Wang, Honglei Weng

Date Published: 2023

Publication Type: Journal

Monitoring TGF-β1 effects on liver cells in vivo

Abstract

Not specified

Authors: Alaa Hammad, Seddik Hammad, Kerry Gould, Matthias P. Ebert, Steven Dooley, Anne Dropmann

Date Published: 2023

Publication Type: Journal

Repeated toxic injuries of murine liver are tolerated through minute steatosis and mild inflammation

Abstract

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Authors: Seddik Hammad, Christoph Ogris, Amnah Othman, Pia Erdoesi, Wolfgang Schmidt-Heck, Ina Biermayer, Barbara Helm, Yan Gao, Weronika Piorońska, Lorenza D'Alessandro, Fabian J. Theis, Matthias P. Ebert, Ursula Klingmüller, Jan Hengstler, Nikola S. Mueller, Steven Dooley

Date Published: 2023

Publication Type: Journal

A hierarchical regulatory network ensures stable albumin transcription under various pathophysiological conditions

Abstract

Not specified

Authors: Rilu Feng, Kejia Kan, Carsten Sticht, Yujia Li, Shanshan Wang, Hui Liu, Chen Shao, Stefan Munker, Hanno Niess, Sai Wang, Christoph Meyer, Roman Liebe, Matthias P. Ebert, Steven Dooley, Huiguo Ding, Honglei Weng

Date Published: 1st Dec 2022

Publication Type: Journal

Guided interactive image segmentation using machine learning and color-based image set clustering.

Abstract (Expand)

MOTIVATION: Over the last decades, image processing and analysis have become one of the key technologies in systems biology and medicine. The quantification of anatomical structures and dynamic processes … in living systems is essential for understanding the complex underlying mechanisms and allows, i.e. the construction of spatio-temporal models that illuminate the interplay between architecture and function. Recently, deep learning significantly improved the performance of traditional image analysis in cases where imaging techniques provide large amounts of data. However, if only a few images are available or qualified annotations are expensive to produce, the applicability of deep learning is still limited. RESULTS: We present a novel approach that combines machine learning-based interactive image segmentation using supervoxels with a clustering method for the automated identification of similarly colored images in large image sets which enables a guided reuse of interactively trained classifiers. Our approach solves the problem of deteriorated segmentation and quantification accuracy when reusing trained classifiers which is due to significant color variability prevalent and often unavoidable in biological and medical images. This increase in efficiency improves the suitability of interactive segmentation for larger image sets, enabling efficient quantification or the rapid generation of training data for deep learning with minimal effort. The presented methods are applicable for almost any image type and represent a useful tool for image analysis tasks in general. AVAILABILITY AND IMPLEMENTATION: The presented methods are implemented in our image processing software TiQuant which is freely available at tiquant.hoehme.com. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Authors: A. Friebel, T. Johann, D. Drasdo, S. Hoehme

Date Published: 30th Sep 2022

Publication Type: Journal

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