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23 Publications visible to you, out of a total of 23
Genetic variants in PNPLA3 and TM6SF2 predispose to the development of hepatocellular carcinoma in individuals with alcohol-related cirrhosis.

Abstract (Expand)

OBJECTIVES: Variants in patatin-like phospholipase domain-containing 3 (PNPLA3; rs738409), transmembrane 6 superfamily member 2 (TM6SF2; rs58542926), and membrane bound O-acyltransferase domain containing … 7 (MBOAT7; rs641738) are risk factors for the development of alcohol-related cirrhosis. Within this population, PNPLA3 rs738409 is also an established risk factor for the development of hepatocellular carcinoma (HCC). The aim of this study was to explore possible risk associations of TM6SF2 rs58542926 and MBOAT7 rs641738 with HCC. METHODS: Risk variants in PNPLA3, TM6SF2, and MBOAT7 were genotyped in 751 cases with alcohol-related cirrhosis and HCC and in 1165 controls with alcohol-related cirrhosis without HCC. Association with the risk of developing HCC was analyzed using multivariate logistic regression. RESULTS: The development of HCC was independently associated with PNPLA3 rs738409 (ORadjusted 1.84 [95% CI 1.55-2.18], p = 1.85 x 10(-12)) and TM6SF2 rs58542926 (ORadjusted 1.66 [1.30-2.13], p = 5.13 x 10(-05)), using an additive model, and controlling the sex, age, body mass index, and type 2 diabetes mellitus; the risk associated with carriage of MBOAT7 rs641738 (ORadjusted 1.04 [0.88-1.24], p = 0.61) was not significant. The population-attributable fractions were 43.5% for PNPLA3 rs738409, 11.5% for TM6SF2 rs58542926, and 49.9% for the carriage of both the variants combined. CONCLUSIONS: Carriage of TM6SF2 rs58542926 is an additional risk factor for the development of HCC in people with alcohol-related cirrhosis. Carriage of both PNPLA3 rs738409 and TM6SF2 rs58542926 accounts for half of the attributable risk for HCC in this population. Genotyping will allow for more precise HCC risk-stratification of patients with alcohol-related cirrhosis, and genotype-guided screening algorithms would optimize patient care.

Authors: F. Stickel, S. Buch, H. D. Nischalke, K. H. Weiss, D. Gotthardt, J. Fischer, J. Rosendahl, A. Marot, M. Elamly, M. Casper, F. Lammert, A. McQuillin, S. Zopf, U. Spengler, S. Marhenke, M. M. Kirstein, A. Vogel, F. Eyer, J. von Felden, H. Wege, T. Buch, C. Schafmayer, F. Braun, P. Deltenre, T. Berg, M. Y. Morgan, J. Hampe

Date Published: 15th Mar 2018

Publication Type: Journal

Electrosurgical liver resection has a superior regeneration outcome as compared to en-bloc ligation in a novel model of partial hepatectomy in mice

Abstract (Expand)

Background: The extent of resection and the frequency of liver surgery have increased over the past decades, enabled by improved haemostasis provided by electrosurgical liver dissection. Because extensive … liver surgery is still associated with lethal complications, further optimisation of the technique and a better molecular understanding of hepatic wound healing and regeneration are needed. Systematic studies and a mouse model reflecting the clinical reality of liver surgery are lacking. Methods: We performed liver resection in mice with a monopolar electrocautery device in comparison to the classical en-bloc ligation method. Regeneration was assessed using liver weight and BrDU immunohistochemistry after sacrifice and non-invasively using micro computed tomography (µCT). Results: Mortality in the electrosurgical model was similar to the ligation method given an identical extent of resection. Regeneration of liver proceeded significantly faster in the electrosurgical group: Liver weight was 25.6% higher at sacrifice after 168h (p=0.0003). Concordantly, both µCT analysis (22.6% higher liver volume at 168h, p=0.008) and BrDU staining (71.4% higher proliferation at 72h, p=0.0005) indicated superior regeneration of liver after electrosurgical partial hepatectomy. Conclusions: The mode of liver resection has a profound impact on regeneration and should be studied molecularly using the presented novel model of electrosurgical liver resection.

Authors: W. von Schonfels, Clemens Schafmayer, Jochen Hampe

Date Published: 27th Jan 2018

Publication Type: Not specified

Translational learning from clinical studies predicts drug pharmacokinetics across patient populations

Abstract

Not specified

Authors: Markus Krauss, Ute Hofmann, Clemens Schafmayer, Svitlana Igel, Jan Schlender, Christian Mueller, Mario Brosch, Witigo von Schoenfels, Wiebke Erhart, Andreas Schuppert, Michael Block, Elke Schaeffeler, Gabriele Boehmer, Linus Goerlitz, Jan Hoecker, Joerg Lippert, Reinhold Kerb, Jochen Hampe, Lars Kuepfer, Matthias Schwab

Date Published: 1st Dec 2017

Publication Type: Not specified

Translational learning from clinical studies predicts drug pharmacokinetics across patient populations.

Abstract (Expand)

Early indication of late-stage failure of novel candidate drugs could be facilitated by continuous integration, assessment, and transfer of knowledge acquired along pharmaceutical development programs. … We here present a translational systems pharmacology workflow that combines drug cocktail probing in a specifically designed clinical study, physiologically based pharmacokinetic modeling, and Bayesian statistics to identify and transfer (patho-)physiological and drug-specific knowledge across distinct patient populations. Our work builds on two clinical investigations, one with 103 healthy volunteers and one with 79 diseased patients from which we systematically derived physiological information from pharmacokinetic data for a reference probe drug (midazolam) at the single-patient level. Taking into account the acquired knowledge describing (patho-)physiological alterations in the patient cohort allowed the successful prediction of the population pharmacokinetics of a second, candidate probe drug (torsemide) in the patient population. In addition, we identified significant relations of the acquired physiological processes to patient metadata from liver biopsies. The presented prototypical systems pharmacology approach is a proof of concept for model-based translation across different stages of pharmaceutical development programs. Applied consistently, it has the potential to systematically improve predictivity of pharmacokinetic simulations by incorporating the results of clinical trials and translating them to subsequent studies.

Authors: M. Krauss, U. Hofmann, C. Schafmayer, S. Igel, J. Schlender, C. Mueller, M. Brosch, W. von Schoenfels, W. Erhart, A. Schuppert, M. Block, E. Schaeffeler, G. Boehmer, L. Goerlitz, J. Hoecker, J. Lippert, R. Kerb, J. Hampe, L. Kuepfer, M. Schwab

Date Published: 27th Jun 2017

Publication Type: Not specified

Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity.

Abstract (Expand)

Approximately 1.5 billion people worldwide are overweight or affected by obesity, and are at risk of developing type 2 diabetes, cardiovascular disease and related metabolic and inflammatory disturbances. … Although the mechanisms linking adiposity to associated clinical conditions are poorly understood, recent studies suggest that adiposity may influence DNA methylation, a key regulator of gene expression and molecular phenotype. Here we use epigenome-wide association to show that body mass index (BMI; a key measure of adiposity) is associated with widespread changes in DNA methylation (187 genetic loci with P < 1 x 10(-7), range P = 9.2 x 10(-8) to 6.0 x 10(-46); n = 10,261 samples). Genetic association analyses demonstrate that the alterations in DNA methylation are predominantly the consequence of adiposity, rather than the cause. We find that methylation loci are enriched for functional genomic features in multiple tissues (P < 0.05), and show that sentinel methylation markers identify gene expression signatures at 38 loci (P < 9.0 x 10(-6), range P = 5.5 x 10(-6) to 6.1 x 10(-35), n = 1,785 samples). The methylation loci identify genes involved in lipid and lipoprotein metabolism, substrate transport and inflammatory pathways. Finally, we show that the disturbances in DNA methylation predict future development of type 2 diabetes (relative risk per 1 standard deviation increase in methylation risk score: 2.3 (2.07-2.56); P = 1.1 x 10(-54)). Our results provide new insights into the biologic pathways influenced by adiposity, and may enable development of new strategies for prediction and prevention of type 2 diabetes and other adverse clinical consequences of obesity.

Authors: S. Wahl, A. Drong, B. Lehne, M. Loh, W. R. Scott, S. Kunze, P. C. Tsai, J. S. Ried, W. Zhang, Y. Yang, S. Tan, G. Fiorito, L. Franke, S. Guarrera, S. Kasela, J. Kriebel, R. C. Richmond, M. Adamo, U. Afzal, M. Ala-Korpela, B. Albetti, O. Ammerpohl, J. F. Apperley, M. Beekman, P. A. Bertazzi, S. L. Black, C. Blancher, M. J. Bonder, M. Brosch, M. Carstensen-Kirberg, A. J. de Craen, S. de Lusignan, A. Dehghan, M. Elkalaawy, K. Fischer, O. H. Franco, T. R. Gaunt, J. Hampe, M. Hashemi, A. Isaacs, A. Jenkinson, S. Jha, N. Kato, V. Krogh, M. Laffan, C. Meisinger, T. Meitinger, Z. Y. Mok, V. Motta, H. K. Ng, Z. Nikolakopoulou, G. Nteliopoulos, S. Panico, N. Pervjakova, H. Prokisch, W. Rathmann, M. Roden, F. Rota, M. A. Rozario, J. K. Sandling, C. Schafmayer, K. Schramm, R. Siebert, P. E. Slagboom, P. Soininen, L. Stolk, K. Strauch, E. S. Tai, L. Tarantini, B. Thorand, E. F. Tigchelaar, R. Tumino, A. G. Uitterlinden, C. van Duijn, J. B. van Meurs, P. Vineis, A. R. Wickremasinghe, C. Wijmenga, T. P. Yang, W. Yuan, A. Zhernakova, R. L. Batterham, G. D. Smith, P. Deloukas, B. T. Heijmans, C. Herder, A. Hofman, C. M. Lindgren, L. Milani, P. van der Harst, A. Peters, T. Illig, C. L. Relton, M. Waldenberger, M. R. Jarvelin, V. Bollati, R. Soong, T. D. Spector, J. Scott, M. I. McCarthy, P. Elliott, J. T. Bell, G. Matullo, C. Gieger, J. S. Kooner, H. Grallert, J. C. Chambers

Date Published: 21st Dec 2016

Publication Type: Not specified

NAFLD is associated with methylation shifts with relevance for the expression of genes involved in lipoprotein particle composition.

Abstract (Expand)

Non-alcoholic fatty liver disease (NAFLD) is characterized by the accumulation of triglycerides, cholesterol and toxic free fatty acids and is related to low vitamin D levels. In an analysis of specific … gene sets we elucidate to what extent NAFLD associates to epigenetic and related transcriptional changes in gene networks regulating lipid, energy and vitamin D balance. Two gene clusters responsible for lipid homeostasis (74 genes) and vitamin D and energy balance (31 genes) were investigated with regard to average epigenetic shifts within the first 1500bp next to the transcriptional start site. Three cohorts from two published genome wide driven studies that used a microarray approach were investigated including altogether 103 NAFLD and 75 liver healthy subjects. In the first two steps associations between NAFLD abundance, strength of fibrosis and methylation were investigated in two cohorts by multiple linear regression analyses, correcting for important clinical and demographic parameters. Methylation associated strength of transcription in genes showing significant NAFLD related methylation changes were studied in a third step using a third cohort and applying Pearson's correlation and robust linear regression analyses. 41 genes in gene cluster 1 and 14 genes in cluster 2 were significantly differentially methylated in dependency of NAFLD and hepatic fibrosis. We detect new genes significantly changed in methylation, including APO family members (lipid transport), NPC1L1, STARD (cholesterol transport) and GRHL (energy homeostasis). Our results allow novel insights into the hepatic epigenetic regulation of genes important for lipid and vitamin D balance in NAFLD.

Authors: J. Mwinyi, A. E. Bostrom, C. Pisanu, S. K. Murphy, W. Erhart, C. Schafmayer, J. Hampe, C. Moylan, H. B. Schioth

Date Published: 18th Dec 2016

Publication Type: Not specified

Comparison of Gene Expression Patterns Between Mouse Models of Nonalcoholic Fatty Liver Disease and Liver Tissues From Patients.

Abstract (Expand)

BACKGROUND & AIMS: Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disorder in industrialized countries. Mouse models of NAFLD have been used in studies of pathogenesis … and treatment, and have certain features of the human disease. We performed a systematic transcriptome-wide analysis of liver tissues from patients at different stages of NAFLD progression (ranging from healthy obese individuals to those with steatosis), as well as rodent models of NAFLD, to identify those that most closely resemble human disease progression in terms of gene expression patterns. METHODS: We performed a systematic evaluation of genome-wide messenger RNA expression using liver tissues collected from mice fed a standard chow diet (controls) and 9 mouse models of NAFLD: mice on a high-fat diet (with or without fructose), mice on a Western-type diet, mice on a methionine- and choline-deficient diet, mice on a high-fat diet given streptozotocin, and mice with disruption of Pten in hepatocytes. We compared gene expression patterns with those of liver tissues from 25 patients with nonalcoholic steatohepatitis (NASH), 27 patients with NAFLD, 15 healthy obese individuals, and 39 healthy nonobese individuals (controls). Liver samples were obtained from patients undergoing liver biopsy for suspected NAFLD or NASH, or during liver or bariatric surgeries. Data sets were analyzed using the limma R-package. Overlap of functional profiles was analyzed by gene set enrichment analysis profiles. RESULTS: We found differences between human and mouse transcriptomes to be significantly larger than differences between disease stages or models. Of the 65 genes with significantly altered expression in patients with NASH and 177 genes with significantly altered expression in patients with NAFLD, compared with controls, only 1-18 of these genes also differed significantly in expression between mouse models of NAFLD and control mice. However, expression of genes that regulate pathways associated with the development of NAFLD were altered in some mouse models (such as pathways associated with lipid metabolism). On a pathway level, gene expression patterns in livers of mice on the high-fat diet were associated more closely with human fatty liver disease than other models. CONCLUSIONS: In comparing gene expression profiles between liver tissues from different mouse models of NAFLD and patients with different stages of NAFLD, we found very little overlap. Our data set is available for studies of pathways that contribute to the development of NASH and NAFLD and selection of the most applicable mouse models (http://www.nash-profiler.com).

Authors: A. Teufel, T. Itzel, W. Erhart, M. Brosch, X. Y. Wang, Y. O. Kim, W. von Schonfels, A. Herrmann, S. Bruckner, F. Stickel, J. F. Dufour, T. Chavakis, C. Hellerbrand, R. Spang, T. Maass, T. Becker, S. Schreiber, C. Schafmayer, D. Schuppan, J. Hampe

Date Published: 19th Jun 2016

Publication Type: Not specified

A genome-wide association study confirms PNPLA3 and identifies TM6SF2 and MBOAT7 as risk loci for alcohol-related cirrhosis.

Abstract (Expand)

Alcohol misuse is the leading cause of cirrhosis and the second most common indication for liver transplantation in the Western world. We performed a genome-wide association study for alcohol-related … cirrhosis in individuals of European descent (712 cases and 1,426 controls) with subsequent validation in two independent European cohorts (1,148 cases and 922 controls). We identified variants in the MBOAT7 (P = 1.03 x 10(-9)) and TM6SF2 (P = 7.89 x 10(-10)) genes as new risk loci and confirmed rs738409 in PNPLA3 as an important risk locus for alcohol-related cirrhosis (P = 1.54 x 10(-48)) at a genome-wide level of significance. These three loci have a role in lipid processing, suggesting that lipid turnover is important in the pathogenesis of alcohol-related cirrhosis.

Authors: S. Buch, F. Stickel, E. Trepo, M. Way, A. Herrmann, H. D. Nischalke, M. Brosch, J. Rosendahl, T. Berg, M. Ridinger, M. Rietschel, A. McQuillin, J. Frank, F. Kiefer, S. Schreiber, W. Lieb, M. Soyka, N. Semmo, E. Aigner, C. Datz, R. Schmelz, S. Bruckner, S. Zeissig, A. M. Stephan, N. Wodarz, J. Deviere, N. Clumeck, C. Sarrazin, F. Lammert, T. Gustot, P. Deltenre, H. Volzke, M. M. Lerch, J. Mayerle, F. Eyer, C. Schafmayer, S. Cichon, M. M. Nothen, M. Nothnagel, D. Ellinghaus, K. Huse, A. Franke, S. Zopf, C. Hellerbrand, C. Moreno, D. Franchimont, M. Y. Morgan, J. Hampe

Date Published: 21st Oct 2015

Publication Type: Journal

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