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6 Publications visible to you, out of a total of 6

Abstract

Not specified

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

Date Published: 1st Feb 2019

Publication Type: Not specified

Abstract (Expand)

BACKGROUND/AIMS: Common genetic variations in vitamin D metabolism are associated with liver stiffness. Whether these genes are implicated in hepatic steatosis remains unclear. Here we aimed to analyse the association of common vitamin D pathway gene variants with liver steatosis. METHODS: Liver steatosis was assessed non-invasively in 241 patients with chronic liver conditions by controlled attenuation parameter (CAP). The following polymorphisms were genotyped using TaqMan assays: group-specific component (GC) rs7041, 7-dehydrocholesterol reductase (DHCR7) rs12785878, cytochrome P450 2R1 (CYP2R1) rs10741657, -vitamin D receptor (VDR) rs7974353. Chemiluminescence immunoassay determined serum 25-hydroxyvitamin D (25(OH) D) concentrations. RESULTS: Vitamin D deficiency (defined by 25(OH)D concentrations <20 ng/mL) occurred in 66% of patients. Median CAP was 296 (100-400) dB/m. Patients with advanced steatosis (CAP >/=280 dB/m) had significantly (p = 0.033) lower 25(OH)D levels as compared to patients with CAP <280 dB/m. Moreover, the rare allele [T] in GC rs7041 was significantly (p = 0.018) associated with higher 25(OH)D levels in patients with CAP <280 dB/m. However, GC, DHCR7, CYP2R1, and VDR polymorphisms were not related to liver steatosis and obesity traits. CONCLUSIONS: Higher CAP values are associated with low serum 25(OH)D concentrations but not with common vitamin D pathway gene variants.

Authors: M. Jamka, A. Arslanow, A. Bohner, M. Krawczyk, S. N. Weber, F. Grunhage, F. Lammert, C. S. Stokes

Date Published: 8th Mar 2018

Publication Type: Not specified

Abstract (Expand)

Non-alcoholic fatty liver disease (NAFLD) is frequent among obese individuals with metabolic syndrome. Variants PNPLA3 p.I148M, TM6SF2 p.E167K and MBOAT7 rs641738 are associated with higher liver fat contents. Here we analyzed 63 biopsied non-obese, non-diabetic patients with NAFLD (39 men, age: 20-72 years) recruited within the German NAFLD CSG program. The frequencies of the PNPLA3, TM6SF2 and MBOAT7 polymorphisms were compared with the remaining patients in the NAFLD CSG cohort and with a control population (n = 174). Serum CK18-M30 was measured by ELISA. In non-obese NAFLD patients, the frequency of the PNPLA3 p.I148M allele (74.6%), but not of the TM6SF2 or MBOAT7 polymorphisms, was significantly (P < 0.05) higher as compared to the other patients in the NAFLD CSG cohort (54.9%) or controls (40.2%). The presence of the minor PNPLA3 p.I148M risk allele increased the risk of developing NAFLD (OR = 3.29, P < 0.001) and was associated with higher steatosis, fibrosis, and serum CK18-M30 levels (all P < 0.05). According to the population attributable fraction (PAF), 49.8% of NAFLD cases could be eliminated if the PNPLA3 mutation was absent. The MBOAT7 polymorphism was more frequent (P = 0.019) in patients with severe hepatic steatosis. In conclusion, PNPLA3, and to a lesser extent, MBOAT7 variants are associated with NAFLD risk and modulate liver injury in non-obese patients without diabetes.

Authors: M. Krawczyk, H. Bantel, M. Rau, J. M. Schattenberg, F. Grunhage, A. Pathil, M. Demir, J. Kluwe, T. Boettler, S. N. Weber, A. Geier, F. Lammert

Date Published: 28th Feb 2018

Publication Type: Not specified

Abstract (Expand)

Understanding the dynamics of human liver metabolism is fundamental for effective diagnosis and treatment of liver diseases in general and the metabolism of drugs in particular. This knowledge can be obtained with systems biology/medicine approaches that account for the complexity of hepatic responses and their systemic consequences in other organs. Computational modelling can reveal hidden principles of the system by classification of individual components, analysing their interactions and simulating the effects that are difficult to investigate experimentally. Herein we review the state-of-the-art computational models that describe liver dynamics from the metabolic, gene regulatory and signal transduction perspectives. We focus especially on large-scale liver models described either by genome scale metabolic networks (GSMN) or object-oriented approach. We also discuss the benefits and limitations of each modelling approach and their value for clinical applications in diagnosis, therapy and prevention of liver diseases as well as precision medicine in hepatology. This article is protected by copyright. All rights reserved.

Authors: T. Cvitanovic, M. C. Reichert, M. Moskon, M. Mraz, F. Lammert, D. Rozman

Date Published: 19th May 2017

Publication Type: Not specified

Abstract (Expand)

Latest data suggest that placental growth factor (PLGF), growth differentiation factor-15 (GDF-15) and hepatic growth factor (HGF) are involved in hepatic fibrogenesis. Diagnostic performance of these markers for non-invasive liver fibrosis prediction was evaluated based on liver histology and stiffness. In total 834 patients were recruited. Receiver-operating-characteristics were used to define cut-offs for markers correlating to fibrosis stages. Odds-ratios were calculated for the presence/absence of fibrosis/cirrhosis and confirmed in the sub-group of patients phenotyped by elastography only. Logistic and uni- and multivariate regression analyses were used to test for association of markers with liver fibrosis stages and for independent prediction of liver histology and stiffness. Marker concentrations correlated significantly (P<0.001) with histology and stiffness. Cut-offs for liver fibrosis (>/=F2) were PLGF = 20.20 pg/ml, GDF15 = 1582.76 pg/ml and HGF = 2598.00 pg/ml. Logistic regression confirmed an increase of ORs from 3.6 over 33.0 to 108.4 with incremental (1-3) markers positive for increased liver stiffness (>/=12.8kPa; all P<0.05). Subgroup analysis revealed associations with advanced fibrosis for HCV (three markers positive: OR = 59.9, CI 23.4-153.4, P<0.001) and non-HCV patients (three markers positive: OR = 144, CI 59-3383, P<0.001). Overall, serum markers identified additional 50% of patients at risk for advanced fibrosis presenting with low elastography results. In conclusion, this novel combination of markers reflects the presence of significant liver fibrosis detected by elastography and histology and may also identify patients at risk presenting with low elastography values.

Authors: M. Krawczyk, S. Zimmermann, G. Hess, R. Holz, M. Dauer, J. Raedle, F. Lammert, F. Grunhage

Date Published: 17th Mar 2017

Publication Type: Not specified

Abstract

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Authors: Anne Dropmann, Tatjana Dediulia, Katja Breitkopf-Heinlein, Hanna Korhonen, Michel Janicot, Susanne N. Weber, Maria Thomas, Albrecht Piiper, Esther Bertran, Isabel Fabregat, Kerstin Abshagen, Jochen Hess, Peter Angel, Cédric Coulouarn, Steven Dooley, Nadja M. Meindl-Beinker

Date Published: 12th Apr 2016

Publication Type: Not specified

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