@article{PaisdziorDimitriouSchoepeetal.2020, author = {Paisdzior, Sarah and Dimitriou, Ioanna Maria and Sch{\"o}pe, Paul Curtis and Annibale, Paolo and Scheerer, Patrick and Krude, Heiko and Lohse, Martin J. and Biebermann, Heike and K{\"u}hnen, Peter}, title = {Differential signaling profiles of MC4R mutations with three different ligands}, series = {International Journal of Molecular Sciences}, volume = {21}, journal = {International Journal of Molecular Sciences}, number = {4}, issn = {1422-0067}, doi = {10.3390/ijms21041224}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-285108}, year = {2020}, abstract = {The melanocortin 4 receptor (MC4R) is a key player in hypothalamic weight regulation and energy expenditure as part of the leptin-melanocortin pathway. Mutations in this G protein coupled receptor (GPCR) are the most common cause for monogenetic obesity, which appears to be mediated by changes in the anorectic action of MC4R via G\(_S\)-dependent cyclic adenosine-monophosphate (cAMP) signaling as well as other signaling pathways. To study potential bias in the effects of MC4R mutations between the different signaling pathways, we investigated three major MC4R mutations: a G\(_S\) loss-of-function (S127L) and a G\(_S\) gain-of-function mutant (H158R), as well as the most common European single nucleotide polymorphism (V103I). We tested signaling of all four major G protein families plus extracellular regulated kinase (ERK) phosphorylation and β-arrestin2 recruitment, using the two endogenous agonists, α- and β-melanocyte stimulating hormone (MSH), along with a synthetic peptide agonist (NDP-α-MSH). The S127L mutation led to a full loss-of-function in all investigated pathways, whereas V103I and H158R were clearly biased towards the G\(_{q/11}\) pathway when challenged with the endogenous ligands. These results show that MC4R mutations can cause vastly different changes in the various MC4R signaling pathways and highlight the importance of a comprehensive characterization of receptor mutations.}, language = {en} } @article{BreitenbachLorenzDandekar2019, author = {Breitenbach, Tim and Lorenz, Kristina and Dandekar, Thomas}, title = {How to steer and control ERK and the ERK signaling cascade exemplified by looking at cardiac insufficiency}, series = {International Journal of Molecular Sciences}, volume = {20}, journal = {International Journal of Molecular Sciences}, number = {9}, issn = {1422-0067}, doi = {10.3390/ijms20092179}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-285164}, year = {2019}, abstract = {Mathematical optimization framework allows the identification of certain nodes within a signaling network. In this work, we analyzed the complex extracellular-signal-regulated kinase 1 and 2 (ERK1/2) cascade in cardiomyocytes using the framework to find efficient adjustment screws for this cascade that is important for cardiomyocyte survival and maladaptive heart muscle growth. We modeled optimal pharmacological intervention points that are beneficial for the heart, but avoid the occurrence of a maladaptive ERK1/2 modification, the autophosphorylation of ERK at threonine 188 (ERK\(^{Thr188}\) phosphorylation), which causes cardiac hypertrophy. For this purpose, a network of a cardiomyocyte that was fitted to experimental data was equipped with external stimuli that model the pharmacological intervention points. Specifically, two situations were considered. In the first one, the cardiomyocyte was driven to a desired expression level with different treatment strategies. These strategies were quantified with respect to beneficial effects and maleficent side effects and then which one is the best treatment strategy was evaluated. In the second situation, it was shown how to model constitutively activated pathways and how to identify drug targets to obtain a desired activity level that is associated with a healthy state and in contrast to the maleficent expression pattern caused by the constitutively activated pathway. An implementation of the algorithms used for the calculations is also presented in this paper, which simplifies the application of the presented framework for drug targeting, optimal drug combinations and the systematic and automatic search for pharmacological intervention points. The codes were designed such that they can be combined with any mathematical model given by ordinary differential equations.}, language = {en} } @article{RietjensDussortGuentheretal.2018, author = {Rietjens, Ivonne M. C. M. and Dussort, P. and G{\"u}nther, Helmut and Hanlon, Paul and Honda, Hiroshi and Mally, Angela and O'Hagan, Sue and Scholz, Gabriele and Seidel, Albrecht and Swenberg, James and Teeguarden, Justin and Eisenbrand, Gerhard}, title = {Exposure assessment of process-related contaminants in food by biomarker monitoring}, series = {Archives of Toxicology}, volume = {92}, journal = {Archives of Toxicology}, number = {1}, doi = {10.1007/s00204-017-2143-2}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-226268}, pages = {15-40}, year = {2018}, abstract = {Exposure assessment is a fundamental part of the risk assessment paradigm, but can often present a number of challenges and uncertainties. This is especially the case for process contaminants formed during the processing, e.g. heating of food, since they are in part highly reactive and/or volatile, thus making exposure assessment by analysing contents in food unreliable. New approaches are therefore required to accurately assess consumer exposure and thus better inform the risk assessment. Such novel approaches may include the use of biomarkers, physiologically based kinetic (PBK) modelling-facilitated reverse dosimetry, and/or duplicate diet studies. This review focuses on the state of the art with respect to the use of biomarkers of exposure for the process contaminants acrylamide, 3-MCPD esters, glycidyl esters, furan and acrolein. From the overview presented, it becomes clear that the field of assessing human exposure to process-related contaminants in food by biomarker monitoring is promising and strongly developing. The current state of the art as well as the existing data gaps and challenges for the future were defined. They include (1) using PBK modelling and duplicate diet studies to establish, preferably in humans, correlations between external exposure and biomarkers; (2) elucidation of the possible endogenous formation of the process-related contaminants and the resulting biomarker levels; (3) the influence of inter-individual variations and how to include that in the biomarker-based exposure predictions; (4) the correction for confounding factors; (5) the value of the different biomarkers in relation to exposure scenario's and risk assessment, and (6) the possibilities of novel methodologies. In spite of these challenges it can be concluded that biomarker-based exposure assessment provides a unique opportunity to more accurately assess consumer exposure to process-related contaminants in food and thus to better inform risk assessment.}, language = {en} } @article{SpinaciLambertucciBuccionietal.2022, author = {Spinaci, Andrea and Lambertucci, Catia and Buccioni, Michela and Dal Ben, Diego and Graiff, Claudia and Barbalace, Maria Cristina and Hrelia, Silvana and Angeloni, Cristina and Tayebati, Seyed Khosrow and Ubaldi, Massimo and Masi, Alessio and Klotz, Karl-Norbert and Volpini, Rosaria and Marucci, Gabriella}, title = {A\(_{2A}\) adenosine receptor antagonists: are triazolotriazine and purine scaffolds interchangeable?}, series = {Molecules}, volume = {27}, journal = {Molecules}, number = {8}, issn = {1420-3049}, doi = {10.3390/molecules27082386}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-270618}, year = {2022}, abstract = {The A\(_{2A}\) adenosine receptor (A\(_{2A}\)AR) is one of the four subtypes activated by nucleoside adenosine, and the molecules able to selectively counteract its action are attractive tools for neurodegenerative disorders. In order to find novel A\(_{2A}\)AR ligands, two series of compounds based on purine and triazolotriazine scaffolds were synthesized and tested at ARs. Compound 13 was also tested in an in vitro model of neuroinflammation. Some compounds were found to possess high affinity for A\(_{2A}\)AR, and it was observed that compound 13 exerted anti-inflammatory properties in microglial cells. Molecular modeling studies results were in good agreement with the binding affinity data and underlined that triazolotriazine and purine scaffolds are interchangeable only when 5- and 2-positions of the triazolotriazine moiety (corresponding to the purine 2- and 8-positions) are substituted.}, language = {en} } @article{DekantLangerLuppetal.2021, author = {Dekant, Raphael and Langer, Michael and Lupp, Maria and Adaku Chilaka, Cynthia and Mally, Angela}, title = {In vitro and in vivo analysis of ochratoxin A-derived glucuronides and mercapturic acids as biomarkers of exposure}, series = {Toxins}, volume = {13}, journal = {Toxins}, number = {8}, issn = {2072-6651}, doi = {10.3390/toxins13080587}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-245146}, year = {2021}, abstract = {Ochratoxin A (OTA) is a widespread food contaminant, with exposure estimated to range from 0.64 to 17.79 ng/kg body weight (bw) for average consumers and from 2.40 to 51.69 ng/kg bw per day for high consumers. Current exposure estimates are, however, associated with considerable uncertainty. While biomarker-based approaches may contribute to improved exposure assessment, there is yet insufficient data on urinary metabolites of OTA and their relation to external dose to allow reliable estimates of daily intake. This study was designed to assess potential species differences in phase II biotransformation in vitro and to establish a correlation between urinary OTA-derived glucuronides and mercapturic acids and external exposure in rats in vivo. In vitro analyses of OTA metabolism using the liver S9 of rats, humans, rabbits and minipigs confirmed formation of an OTA glucuronide but provided no evidence for the formation of OTA-derived mercapturic acids to support their use as biomarkers. Similarly, OTA-derived mercapturic acids were not detected in urine of rats repeatedly dosed with OTA, while indirect analysis using enzymatic hydrolysis of the urine samples prior to LC-MS/MS established a linear relationship between urinary glucuronide excretion and OTA exposure. These results support OTA-derived glucuronides but not mercapturic acids as metabolites suitable for biomonitoring.}, language = {en} } @article{ChilakaObidiegwuChilakaetal.2022, author = {Chilaka, Cynthia Adaku and Obidiegwu, Jude Ejikeme and Chilaka, Augusta Chinenye and Atanda, Olusegun Oladimeji and Mally, Angela}, title = {Mycotoxin regulatory status in Africa: a decade of weak institutional efforts}, series = {Toxins}, volume = {14}, journal = {Toxins}, number = {7}, issn = {2072-6651}, doi = {10.3390/toxins14070442}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-278941}, year = {2022}, abstract = {Food safety problems are a major hindrance to achieving food security, trade, and healthy living in Africa. Fungi and their secondary metabolites, known as mycotoxins, represent an important concern in this regard. Attempts such as agricultural, storage, and processing practices, and creation of awareness to tackle the menace of fungi and mycotoxins have yielded measurable outcomes especially in developed countries, where there are comprehensive mycotoxin legislations and enforcement schemes. Conversely, most African countries do not have mycotoxin regulatory limits and even when available, are only applied for international trade. Factors such as food insecurity, public ignorance, climate change, poor infrastructure, poor research funding, incorrect prioritization of resources, and nonchalant attitudes that exist among governmental organisations and other stakeholders further complicate the situation. In the present review, we discuss the status of mycotoxin regulation in Africa, with emphasis on the impact of weak mycotoxin legislations and enforcement on African trade, agriculture, and health. Furthermore, we discuss the factors limiting the establishment and control of mycotoxins in the region.}, language = {en} } @article{SalingerHuLiuetal.2018, author = {Salinger, Tim and Hu, Kai and Liu, Dan and Taleh, Scharoch and Herrmann, Sebastian and Oder, Daniel and Gensler, Daniel and M{\"u}ntze, Jonas and Ertl, Georg and Lorenz, Kristina and Frantz, Stefan and Weidemann, Frank and Nordbeck, Peter}, title = {Association between Comorbidities and Progression of Transvalvular Pressure Gradients in Patients with Moderate and Severe Aortic Valve Stenosis}, series = {Cardiology Research and Practice}, journal = {Cardiology Research and Practice}, doi = {10.1155/2018/3713897}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-227291}, pages = {3713897, 1-7}, year = {2018}, abstract = {Background. Fast progression of the transaortic mean gradient (P-mean) is relevant for clinical decision making of valve replacement in patients with moderate and severe aortic stenosis (AS) patients. However, there is currently little knowledge regarding the determinants affecting progression of transvalvular gradient in AS patients. Methods. This monocentric retrospective study included consecutive patients presenting with at least two transthoracic echocardiography examinations covering a time interval of one year or more between April 2006 and February 2016 and diagnosed as moderate or severe aortic stenosis at the final echocardiographic examination. Laboratory parameters, medication, and prevalence of eight known cardiac comorbidities and risk factors (hypertension, diabetes, coronary heart disease, peripheral artery occlusive disease, cerebrovascular disease, renal dysfunction, body mass index >= 30 Kg/m(2), and history of smoking) were analyzed. Patients were divided into slow (P-mean < 5 mmHg/year) or fast (P-mean >= 5 mmHg/year) progression groups. Results. A total of 402 patients (mean age 78 +/- 9.4 years, 58\% males) were included in the study. Mean follow-up duration was 3.4 +/- 1.9 years. The average number of cardiac comorbidities and risk factors was 3.1 +/- 1.6. Average number of cardiac comorbidities and risk factors was higher in patients in slow progression group than in fast progression group (3.3 +/- 1.5 vs 2.9 +/- 1.7; P = 0.036). Patients in slow progression group had more often coronary heart disease (49.2\% vs 33.6\%; P = 0.003) compared to patients in fast progression group. LDL-cholesterol values were lower in the slow progression group (100 +/- 32.6 mg/dl vs 110.8 +/- 36.6 mg/dl; P = 0.005). Conclusion. These findings suggest that disease progression of aortic valve stenosis is faster in patients with fewer cardiac comorbidities and risk factors, especially if they do not have coronary heart disease. Further prospective studies are warranted to investigate the outcome of patients with slow versus fast progression of transvalvular gradient with regards to comorbidities and risk factors.}, language = {en} } @article{TolstikAliGuoetal.2022, author = {Tolstik, Elen and Ali, Nairveen and Guo, Shuxia and Ebersbach, Paul and M{\"o}llmann, Dorothe and Arias-Loza, Paula and Dierks, Johann and Schuler, Irina and Freier, Erik and Debus, J{\"o}rg and Baba, Hideo A. and Nordbeck, Peter and Bocklitz, Thomas and Lorenz, Kristina}, title = {CARS imaging advances early diagnosis of cardiac manifestation of Fabry disease}, series = {International Journal of Molecular Sciences}, volume = {23}, journal = {International Journal of Molecular Sciences}, number = {10}, issn = {1422-0067}, doi = {10.3390/ijms23105345}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-284427}, year = {2022}, abstract = {Vibrational spectroscopy can detect characteristic biomolecular signatures and thus has the potential to support diagnostics. Fabry disease (FD) is a lipid disorder disease that leads to accumulations of globotriaosylceramide in different organs, including the heart, which is particularly critical for the patient's prognosis. Effective treatment options are available if initiated at early disease stages, but many patients are late- or under-diagnosed. Since Coherent anti-Stokes Raman (CARS) imaging has a high sensitivity for lipid/protein shifts, we applied CARS as a diagnostic tool to assess cardiac FD manifestation in an FD mouse model. CARS measurements combined with multivariate data analysis, including image preprocessing followed by image clustering and data-driven modeling, allowed for differentiation between FD and control groups. Indeed, CARS identified shifts of lipid/protein content between the two groups in cardiac tissue visually and by subsequent automated bioinformatic discrimination with a mean sensitivity of 90-96\%. Of note, this genotype differentiation was successful at a very early time point during disease development when only kidneys are visibly affected by globotriaosylceramide depositions. Altogether, the sensitivity of CARS combined with multivariate analysis allows reliable diagnostic support of early FD organ manifestation and may thus improve diagnosis, prognosis, and possibly therapeutic monitoring of FD.}, language = {en} } @article{LorenzRosner2022, author = {Lorenz, Kristina and Rosner, Marsha Rich}, title = {Harnessing RKIP to combat heart disease and cancer}, series = {Cancers}, volume = {14}, journal = {Cancers}, number = {4}, issn = {2072-6694}, doi = {10.3390/cancers14040867}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-262185}, year = {2022}, abstract = {Cancer and heart disease are leading causes of morbidity and mortality worldwide. These diseases have common risk factors, common molecular signaling pathways that are central to their pathogenesis, and even some disease phenotypes that are interdependent. Thus, a detailed understanding of common regulators is critical for the development of new and synergistic therapeutic strategies. The Raf kinase inhibitory protein (RKIP) is a regulator of the cellular kinome that functions to maintain cellular robustness and prevent the progression of diseases including heart disease and cancer. Two of the key signaling pathways controlled by RKIP are the β-adrenergic receptor (βAR) signaling to protein kinase A (PKA), particularly in the heart, and the MAP kinase cascade Raf/MEK/ERK1/2 that regulates multiple diseases. The goal of this review is to discuss how we can leverage RKIP to suppress cancer without incurring deleterious effects on the heart. Specifically, we discuss: (1) How RKIP functions to either suppress or activate βAR (PKA) and ERK1/2 signaling; (2) How we can prevent cancer-promoting kinase signaling while at the same time avoiding cardiotoxicity.}, language = {en} } @article{JarzinaDiFioreEllingeretal.2022, author = {Jarzina, Sebastian and Di Fiore, Stefano and Ellinger, Bernhard and Reiser, Pia and Frank, Sabrina and Glaser, Markus and Wu, Jiaqing and Taverne, Femke J. and Kramer, Nynke I. and Mally, Angela}, title = {Application of the adverse outcome pathway concept to in vitro nephrotoxicity assessment: kidney injury due to receptor-mediated endocytosis and lysosomal overload as a case study}, series = {Frontiers in Toxicology}, volume = {4}, journal = {Frontiers in Toxicology}, issn = {2673-3080}, doi = {10.3389/ftox.2022.864441}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-284796}, year = {2022}, abstract = {Application of adverse outcome pathways (AOP) and integration of quantitative in vitro to in vivo extrapolation (QIVIVE) may support the paradigm shift in toxicity testing to move from apical endpoints in test animals to more mechanism-based in vitro assays. Here, we developed an AOP of proximal tubule injury linking a molecular initiating event (MIE) to a cascade of key events (KEs) leading to lysosomal overload and ultimately to cell death. This AOP was used as a case study to adopt the AOP concept for systemic toxicity testing and risk assessment based on in vitro data. In this AOP, nephrotoxicity is thought to result from receptor-mediated endocytosis (MIE) of the chemical stressor, disturbance of lysosomal function (KE1), and lysosomal disruption (KE2) associated with release of reactive oxygen species and cytotoxic lysosomal enzymes that induce cell death (KE3). Based on this mechanistic framework, in vitro readouts reflecting each KE were identified. Utilizing polymyxin antibiotics as chemical stressors for this AOP, the dose-response for each in vitro endpoint was recorded in proximal tubule cells from rat (NRK-52E) and human (RPTEC/TERT1) in order to (1) experimentally support the sequence of key events (KEs), to (2) establish quantitative relationships between KEs as a basis for prediction of downstream KEs based on in vitro data reflecting early KEs and to (3) derive suitable in vitro points of departure for human risk assessment. Time-resolved analysis was used to support the temporal sequence of events within this AOP. Quantitative response-response relationships between KEs established from in vitro data on polymyxin B were successfully used to predict in vitro toxicity of other polymyxin derivatives. Finally, a physiologically based kinetic (PBK) model was utilized to transform in vitro effect concentrations to a human equivalent dose for polymyxin B. The predicted in vivo effective doses were in the range of therapeutic doses known to be associated with a risk for nephrotoxicity. Taken together, these data provide proof-of-concept for the feasibility of in vitro based risk assessment through integration of mechanistic endpoints and reverse toxicokinetic modelling.}, language = {en} }