Browsing Bergen Open Research Archive by Author "Röblitz, Susanna"

Now showing items 1-13 of 13

    • Associations Between Natural Physiological and Supraphysiological Estradiol Levels and Stress Perception 

      Leeners, Brigitte; Krüger, Tillman H.C.; Geraedts, Kirsten; Tronci, Enrico; Mancini, Toni; Egli, Marcel; Röblitz, Susanna; Saleh, Lanja; Spanaus, Katharina; Schippert, Cordula; Zhang, Y; Ille, Fabian (Peer reviewed; Journal article, 2019-06-11)
      Stress is a risk factor for impaired general, mental, and reproductive health. The role of physiological and supraphysiological estradiol concentrations in stress perception and stress processing is less well understood. ...

    • Bifurcation and sensitivity analysis reveal key drivers of multistability in a model of macrophage polarization 

      Frank, Anna-Simone; Larripa, Kamila; Ryu, Hwayeon; Snodgrass, Ryan; Röblitz, Susanna (Journal article; Peer reviewed, 2020)
      In this paper, we present and analyze a mathematical model for polarization of a single macrophage which, despite its simplicity, exhibits complex dynamics in terms of multistability. In particular, we demonstrate that an ...

    • Food preferences throughout the menstrual cycle – A computer-assisted neuro-endocrino-psychological investigation 

      Lefebvre, Marie; Hengartner, Michael P.; Tronci, Enrico; Mancini, Toni; Ille, Fabian; Röblitz, Susanna; Krüger, Tillmann; Leeners, Brigitte (Journal article; Peer reviewed, 2022)
      Background As eating behavior changes in relation to the menstrual cycle and weight changes with menopausal transition, ovarian hormones appear to be involved in regulating eating behavior. However, observations are ...

    • Hormonal regulation of ovarian follicle growth in humans: Model-based exploration of cycle variability and parameter sensitivities 

      Fischer-Holzhausen, Sophie; Röblitz, Susanna (Journal article; Peer reviewed, 2022)
      We present a modelling and simulation framework for the dynamics of ovarian follicles and key hormones along the hypothalamic-pituitary–gonadal axis throughout consecutive human menstrual cycles. All simulation results ...

    • Macrophage phenotype transitions in a stochastic gene-regulatory network model 

      Frank, Anna-Simone Josefine; Larripa, Kamila; Ryu, Hwayeon; Röblitz, Susanna (Journal article; Peer reviewed, 2023)
      Polarization is the process by which a macrophage cell commits to a phenotype based on external signal stimulation. To know how this process is affected by random fluctuations and events within a cell is of utmost importance ...

    • Macroscale mesenchymal condensation to study cytokine-driven cellular and matrix-related changes during cartilage degradation 

      Weber, Marie-Christin; Fischer, Lisa; Damerau, Alexandra; Ponomarev, Igor; Pfeiffenberger, Moritz; Gaber, Timo; Götschel, Sebastian; Lang, Jens; Röblitz, Susanna; Buttgereit, Frank; Ehrig, Rainald; Lang, Annemarie (Journal article; Peer reviewed, 2020)
      Understanding the pathophysiological processes of cartilage degradation requires adequate model systems to develop therapeutic strategies towards osteoarthritis (OA). Although different in vitro or in vivo models have been ...

    • Mathematical Modeling and Simulation Provides Evidence for New Strategies of Ovarian Stimulation 

      Fischer, Sophie; Ehrig, Rainald; Schäfer, Stefan; Tronci, Enrico; Mancini, Toni; Egli, Marcel; Ille, Fabian; Krüger, Tillmann H. C.; Leeners, Brigitte; Röblitz, Susanna (Journal article; Peer reviewed, 2021)
      New approaches to ovarian stimulation protocols, such as luteal start, random start or double stimulation, allow for flexibility in ovarian stimulation at different phases of the menstrual cycle. It has been proposed that ...

    • Mathematical modelling of follicular growth and ovarian stimulation 

      Fischer-Holzhausen, Sophie; Röblitz, Susanna (Journal article; Peer reviewed, 2022)
      The aim of ovarian stimulation in fertility treatment is to increase the number of large follicles and hence the number of eggs that can be retrieved for in vitro fertilisation (IVF). However, large inter- and intra-individual ...

    • Model-based exploration of hypokalemia in dairy cows 

      Plöntzke, Julia; Berg, Mascha; Ehrig, Rainald; Leonhard-Marek, Sabine; Müller, Kerstin Elisabeth; Röblitz, Susanna (Journal article; Peer reviewed, 2022)
      Hypokalemia in dairy cows, which is characterized by too low serum potassium levels, is a severe mineral disorder that can be life threatening. In this paper, we explore different originating conditions of hypokalemia—reduced ...

    • Model-based exploration of the impact of glucose metabolism on the estrous cycle dynamics in dairy cows 

      Omari, Mohamed; Lange, Alexander; Plöntzke, Julia; Röblitz, Susanna (Peer reviewed; Journal article, 2020)
      Background: Nutrition plays a crucial role in regulating reproductive hormones and follicular development in cattle. This is visible particularly during the time of negative energy balance at the onset of milk production ...

    • Modeling of Multivalent Ligand-Receptor Binding Measured by kinITC 

      Erlekam, Franziska; Igde, Sinaida; Röblitz, Susanna; Hatmann, Laura; Weber, Marcus (Peer reviewed; Journal article, 2019)
      In addition to the conventional Isothermal Titration Calorimetry (ITC), kinetic ITC (kinITC) not only gains thermodynamic information, but also kinetic data from a biochemical binding process. Moreover, kinITC gives insights ...

    • Modelling Oscillatory Patterns in the Bovine Estrous Cycle with Boolean Delay Equations 

      Berg, Mascha; Plöntzke, Julia; Siebert, Heike; Röblitz, Susanna (Journal article; Peer reviewed, 2021)
      Boolean delay equations (BDEs), with their relatively simple and intuitive mode of modelling, have been used in many research areas including, for example, climate dynamics and earthquake propagation. Their application to ...

    • Objective Priors in the Empirical Bayes Framework 

      Klebanov, Ilja; Sikorski, Alexander; Schütte, Christof; Röblitz, Susanna (Journal article; Peer reviewed, 2020)
      When dealing with Bayesian inference the choice of the prior often remains a debatable question. Empirical Bayes methods offer a data-driven solution to this problem by estimating the prior itself from an ensemble of data. ...