Publications

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21 Publications visible to you, out of a total of 21

Abstract

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Authors: Frederik Link, Yujia Li, Jieling Zhao, Stefan Munker, Weiguo Fan, Zeribe Nwosu, Ye Yao, Seddik Hammad, Roman Liebe, Peter ten Dijke, Honglei Weng, Matthias Ebert, Drik Drasdo, Steven Dooley, Sai Wang

Date Published: 2024

Publication Type: Journal

Abstract (Expand)

Abstract Objective Extracellular Matrix Protein 1 ( Ecm1 ) knockout results in latent transforming growth factor-β1 (LTGF-β1) activation and hepatic fibrosis with rapid mortality in mice. In chronicctor-β1 (LTGF-β1) activation and hepatic fibrosis with rapid mortality in mice. In chronic liver disease (CLD), ECM1 is gradually lost with increasing CLD severity. We investigated the underlying mechanism and its impact on CLD progression. Design RNAseq was performed to analyze gene expression in the liver. Functional assays were performed using hepatic stellate cells (HSCs), WT and Ecm1 -KO mice, and liver tissue. Computer modeling was used to verify experimental findings. Results RNAseq shows that expression of thrombospondins (TSPs), ADAMTS proteases, and matrix metalloproteinases (MMPs) increases along with TGF-β1 target, pro-fibrotic genes in liver tissue of Ecm1 -KO mice. In LX-2 or primary human HSCs, ECM1 prevented TSP-1-, ADAMTS1-, and MMP-2/9-mediated LTGF-β1 activation. I n vitro interaction assays demonstrated that ECM1 inhibited LTGF-β1 activation through interacting with TSP-1 and ADAMTS1 via their respective, intrinsic KRFK or KTFR amino acid sequences, while also blunting MMP-2/9 proteolytic activity. In mice, AAV8-mediated ECM1 overexpression attenuated KRFK-induced LTGF-β1 activation and fibrosis, while KTFR reversed Ecm1 -KO-induced liver injury. Furthermore, a correlation between decreasing ECM1 and increasing protease expression and LTGF-β1 activation was found in CLD patients. A computational model validated the impact of restoring ECM1 on reducing LTGF-β1 activation, HSC activation, and collagen deposition in the liver. Conclusion Our findings underscore the hepatoprotective effect of ECM1, which inhibits protease-mediated LTGF-β1 activation, suggesting that preventing its decrease or restoring ECM1 function in the liver could serve as a novel and safer than direct TGF-β1-directed therapies in CLD. One sentence summary ECM1 loss fails to prevent TSP/ADAMTS/MMP-mediated LTGF-β1 activation, leading to liver fibrosis progression.

Authors: Frederik Link, Yujia Li, Jieling Zhao, Stefan Munker, Weiguo Fan, Zeribe Nwosu, Ye Yao, Seddik Hammad, Roman Liebe, Hui Liu, Chen Shao, Bing Sun, Natalie J. Török, Huiguo Ding, Matthias P. A. Ebert, Hong-Lei Weng, Peter ten Dijke, Dirk Drasdo, Steven Dooley, Sai Wang

Date Published: 12th Dec 2023

Publication Type: Journal

Abstract

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Authors: Dirk Drasdo, Jieling Zhao

Date Published: 1st Aug 2023

Publication Type: Journal

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

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

Abstract

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Authors: Nachiket Vartak, Dirk Drasdo, Fabian Geisler, Tohru Itoh, Ronald P.J. Oude Elferink, Stan F.J. van de Graaf, John Chiang, Verena Keitel, Michael Trauner, Peter Jansen, Jan G Hengstler

Date Published: 23rd Jun 2021

Publication Type: Journal

Abstract (Expand)

When modeling a detoxifying organ function, an important component is the impact of flow on the metabolism of a compound of interest carried by the blood. We here study the effects of red blood cells (such as the Fahraeus-Lindqvist effect and plasma skimming) on blood flow in typical microcirculatory components such as tubes, bifurcations and entire networks, with particular emphasis on the liver as important representative of detoxifying organs. In one of the plasma skimming models, under certain conditions, oscillations between states are found and analyzed in a methodical study to identify their causes and influencing parameters. The flow solution obtained is then used to define the velocity at which a compound would be transported. A convection-reaction equation is studied to simulate the transport of a compound in blood and its uptake by the surrounding cells. Different types of signal sharpness have to be handled depending on the application to address different temporal compound concentration profiles. To permit executing the studied models numerically stable and accurate, we here extend existing transport schemes to handle converging bifurcations, and more generally multi-furcations. We study the accuracy of different numerical schemes as well as the effect of reactions and of the network itself on the bolus shape. Even though this study is guided by applications in liver micro-architecture, the proposed methodology is general and can readily be applied to other capillary network geometries, hence to other organs or to bioengineered network designs.

Authors: N. Boissier, D. Drasdo, I. E. Vignon-Clementel

Date Published: 29th Nov 2020

Publication Type: Journal

Abstract (Expand)

Small‐molecule flux in tissue‐microdomains is essential for organ function, but knowledge of this process is scant due to the lack of suitable methods. We developed two independent techniques that allow the quantification of advection (flow) and diffusion in individual bile canaliculi and in interlobular bile ducts of intact livers in living mice, namely Fluorescence Loss After Photoactivation (FLAP) and Intravital Arbitrary Region Image Correlation Spectroscopy (IVARICS). The results challenge the prevailing ‘mechano‐osmotic’ theory of canalicular bile flow. After active transport across hepatocyte membranes bile acids are transported in the canaliculi primarily by diffusion. Only in the interlobular ducts, diffusion is augmented by regulatable advection. Photoactivation of fluorescein bis‐(5‐carboxymethoxy‐2‐nitrobenzyl)‐ether (CMNB‐caged fluorescein) in entire lobules demonstrated the establishment of diffusive gradients in the bile canalicular network and the sink function of interlobular ducts. In contrast to the bile canalicular network, vectorial transport was detected and quantified in the mesh of interlobular bile ducts. In conclusion, the liver consists of a diffusion dominated canalicular domain, where hepatocytes secrete small molecules and generate a concentration gradient and a flow‐augmented ductular domain, where regulated water influx creates unidirectional advection that augments the diffusive flux.

Authors: Nachiket Vartak, Georgia Guenther, Florian Joly, Amruta Damle‐Vartak, Gudrun Wibbelt, Jörns Fickel, Simone Jörs, Brigitte Begher‐Tibbe, Adrian Friebel, Kasimir Wansing, Ahmed Ghallab, Marie Rosselin, Noemie Boissier, Irene Vignon‐Clementel, Christian Hedberg, Fabian Geisler, Heribert Hofer, Peter Jansen, Stefan Hoehme, Dirk Drasdo, Jan G. Hengstler

Date Published: 19th Jun 2020

Publication Type: Journal

Abstract

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Authors: Stefan Hoehme, Rolf Gebhardt, JG Hengstler, D. Drasdo

Date Published: 18th May 2020

Publication Type: Misc

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Authors: Adrian Friebel, Tim Johann, Dirk Drasdo, Stefan Hoehme

Date Published: 18th May 2020

Publication Type: Misc

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Authors: Paul Van Liedekerke, Johannes Neitsch, Tim Johann, Enrico Warmt, Ismael Gonzàlez-Valverde, Stefan Hoehme, Steffen Grosser, Josef Kaes, Dirk Drasdo

Date Published: 1st Feb 2020

Publication Type: Journal

Abstract (Expand)

Little is known about how liver fibrosis influences lobular zonation. To address this question, we used three mouse models of liver fibrosis, repeated CCl4 administration for 2, 6 and 12 months to induce pericentral damage, as well as bile duct ligation (21 days) and mdr2−/− mice to study periportal fibrosis. Analyses were performed by RNA-sequencing, immunostaining of zonated proteins and image analysis. RNA-sequencing demonstrated a significant enrichment of pericentral genes among genes downregulated by CCl4; vice versa, periportal genes were enriched among the upregulated genes. Immunostaining showed an almost complete loss of pericentral proteins, such as cytochrome P450 enzymes and glutamine synthetase, while periportal proteins, such as arginase 1 and CPS1 became expressed also in pericentral hepatocytes. This pattern of fibrosis-associated ‘periportalization’ was consistently observed in all three mouse models and led to complete resistance to hepatotoxic doses of acetaminophen (200 mg/kg). Characterization of the expression response identified the inflammatory pathways TGFβ, NFκB, TNFα, and transcription factors NFKb1, Stat1, Hif1a, Trp53, and Atf1 among those activated, while estrogen-associated pathways, Hnf4a and Hnf1a, were decreased. In conclusion, liver fibrosis leads to strong alterations of lobular zonation, where the pericentral region adopts periportal features. Beside adverse consequences, periportalization supports adaptation to repeated doses of hepatotoxic compounds.

Authors: Ahmed Ghallab, Maiju Myllys, Christian Holland, Ayham Zaza, Walaa Murad, Reham Hassan, Yasser A Ahmed, Tahany Abbas, Eman Abdelrahim, Kai Markus Schneider, Madlen Matz-Soja, Joerg Reinders, Rolf Gebhardt, Theresa Hildegard Wirtz, Maximilian Hatting, Dirk Drasdo, Julio Saez-Rodriguez, Christian Trautwein, Jan Hengstler

Date Published: 1st Dec 2019

Publication Type: Not specified

Abstract (Expand)

Small-molecule flux in tissue-microdomains is essential for organ function, but knowledge of this process is scant due to the lack of suitable methods applicable to live animals. We developed a methodology based on dynamic and correlative imaging for quantitative intravital flux analysis. Application to the liver, challenged the prevailing ‘mechano-osmotic’ theory of canalicular bile flow. After active transport across hepatocyte membranes bile salts are transported in the canaliculi primarily by diffusion. Only in the interlobular ducts, diffusion is augmented by regulatable advection. We corroborate these observations with in silico simulations and pan-species comparisons of lobule size. This study demonstrates a flux mechanism, where the energy invested in transmembrane transport entropically dissipates in a sub-micron scale vessel network.

Authors: Nachiket Vartak, Georgia Guenther, Florian Joly, Amruta Damle-Vartak, Gudrun Wibbelt, Jörns Fickel, Simone Jörs, Brigitte Begher-Tibbe, Adrian Friebel, Kasimir Wansing, Ahmed Ghallab, Marie Rosselin, Noemie Boissier, Irene Vignon-Clementel, Christian Hedberg, Fabian Geisler, Heribert Hofer, Peter Jansen, Stefan Hoehme, Dirk Drasdo, Jan G. Hengstler

Date Published: 26th Sep 2019

Publication Type: Journal

Abstract

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

Date Published: 2019

Publication Type: Not specified

Abstract

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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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