Tag Archives: German Federal Ministry of Education and Research

NutriAct Logo

NutriAct Competence Cluster

Executive Summary

Being fit and healthy even at high age is a high value for many people. A key factor in this is a healthy diet. People, who eat well and healthily throughout their lives, are less likely to be ill in old age. But how exactly is healthy nutrition defined? How healthy do older people in Germany eat? Would they even accept new nutrition recommendations? The competence cluster Nutritional Intervention for Healthy Aging (NutriAct) is investigating these questions in the Berlin-Potsdam area. The aim is to create the scientific basis for age-appropriate nutritional interventions and recommendations. In addition, new foods are to be developed that enable healthy nutrition. The cluster focuses in particular on the middle-aged population (50-70 years) in order to promote healthy aging beyond the age of 70. To this end, the neurobiological, psychological, social and familial basis of food choices and, in particular, their influencing factors within family structures, will be analyzed. In addition, research will be conducted to determine whether sociocultural factors influence taste preferences and dietary practices. A central question here is the significance of gender-specific effects in connection with taste orientations within a partnership. In addition, the extent to which moments of upheaval, such as the transition to retirement, separation, or an illness, influence eating practices will be examined. On the basis of the nutrition pattern analyses, realistically implementable nutrition recommendations will be developed. The central element of the cluster is an intervention study in which the effectiveness, adherence and acceptance of the NutriAct dietary pattern rich in plant proteins, fiber and unsaturated fatty acids will be systematically tested. Based on this, new healthy and palatable foods will be developed that will be accepted by consumers. Accompanying this will be the identification of new biomarkers that predict the effects of a particular diet on health status, especially in old age.

You might want to refer to the NutriAct consoritum website for further details.

Project Partners

  • German Institute of Human Nutrition
  • University of Potsdam
  • Technical University Berlin, Department of Food Technology and Food Material Science
  • Charité – Universitätsmedizin Berlin, Department for Endocrinology, Diabetes and Nutritional Medicine
  • Leibniz Institute of Vegetable and Ornamental Crops (IGZ)
  • Leibniz Institute of Agricultural Engineering and Bio-economy (ATB)
  • Institute for Food and Environmental Research (ILU)
  • Hasso Plattner Institute and AnalyzeGenomes.com

Publications

    Research Publications

      Events

      Sponsors

      BMBF Logo

      HiGHmed Medical Informatics Consortium

      Executive Summary

      The HiGHmed consortium aims to develop and use innovative information infrastructures to increase the efficiency of clinical research and to swiftly translate research results into validated improvements of patient care. These aims are tightly connected with challenges to integrate and further develop solutions of innovative, internationally interoperable data integration and methods, with the aim to demonstrate their added value for health research and patient care. The concepts must be designed in a way that will help to develop sustainable structures and with the perspective for an easy roll-out to other hospitals. You might want to refer to the HiGHmed consoritum website for further details.

      Project Partners

      • Heidelberg University Hospital (UKL-HD)
      • University Medical Center Göttingen (UMG)
      • Hannover Medical School (MHH)
      • University Hospital Schleswig-Holstein / Kiel University (UKSH)
      • University Hospital Cologne (UKK)
      • Universitätsklinikum Würzburg (UKW) / Julius-Maximilians-Universität Würzburg (JMU)
      • Charité Universitätsmedizin Berlin
      • University of Münster (WWU) / University Hospital Münster (UKM)
      • TU Braunschweig (TU-BS)
      • TU Darmstadt (TUD)
      • Heilbronn University (HHN)
      • Helmholtz Center for Infection Research (HZI)
      • Robert Koch-Institut (RKI)
      • German Cancer Research Center (DKFZ)
      • HAWK Hochschule Hildesheim/Holzminden/Goettingen (HAWK-HHG)
      • Hochschule Hannover – University of Applied Sciences and Arts (HSH)
      • Ada Health GmbH
      • InterComponentWare AG (ICW)
      • NEC
      • Siemens Healthcare GmbH
      • Carl-Thiem-Klinikum Cottbus
      • Hasso Plattner Institute and AnalyzeGenomes.com

      Publications

      Research Publications

      • 1.Borchert, F., Meister, L., Langer, T., Follmann, M., Arnrich, B., Schapranow, M.-P.: Controversial Trials First: Identifying Disagreement Between Clinical Guidelines and New Evidence. AMIA Annual Symposium Proceedings. bll. 236–245 (2021). 
      • 2.Borchert, F., Mock, A., Tomczak, A., Hügel, J., Alkarkoukly, S., Knurr, A., Volckmar, A.-L., Stenzinger, A., Schirmacher, P., Debus, J., Jäger, D., Longerich, T., Fröhling, S., Eils, R., Bougatf, N., Sax, U., Schapranow, M.-P.: Knowledge bases and software support for variant interpretation in precision oncology. Briefings in Bioinformatics. 22, (2021). 
      • 3.Borchert, F., Lohr, C., Modersohn, L., Hahn, U., Langer, T., Wenzel, G., Follmann, M., Schapranow, M.-P.: "Herr Doktor, verstehen Sie mich?“: Wie lernende Systeme helfen medizinische Fachsprache zu verstehen und welche Rolle klinische Leitlinien dabei spielen. gesundhyte.de: Das Magazin für Digitale Gesundheit in Deutschland. 13, 19–22 (2020). 
      • 4.Borchert, F., Lohr, C., Modersohn, L., Langer, T., Follmann, M., Sachs, J.P., Hahn, U., Schapranow, M.-P.: GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines. Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis. bll. 38–48. Association for Computational Linguistics, Online (2020). 

      Events

      Sponsors

      BMBF Logo

      Systems Medicine of Heart Failure (SMART)

      Executive Summary

      e:Med Flyer 2016The cooperation project Systems Medicine of Heart Failure (SMART) focuses on researching risk factors of heart failures. The onset and course of heart failure (HF) is triggered by a complex regulatory network that includes stressors (pressure overload by individual anatomic hemodynamic settings), intrinsic (genes), environmental (regulating epigenetics), and modifying factors (such as hormones and the immune system). SMART aims to establish individualized strategies for the prevention and management of HF by early detection of the physiological, genomic, proteomic and hemodynamic mechanisms that lead from one common cause of ventricular dysfunction (pressure overload) to maladaptive remodeling and irreversible HF. To cope with the complexity of HF, SMART will interrelate models describing the interplay between genome, proteome and cell function, regulating hormones, tissue composition and hemodynamic whole organ function up to a whole body description of a patient and patient cohorts. The ultimate goal is to demonstrate proof-of-concept tools for predicting disease evolution and efficacy of treatment in a given patient. To achieve this task SMART will apply
      – A modelling framework that couples multi-scale mechanistic models with in-depth genome/proteome, cell physiology and whole organ (biomechanical and fluid dynamic) models
      – Subsequently, investigate methods validity and relevance for “quantitative prediction” of treatment outcome in a clinical proof-of-concept trial (demonstrator) of patients with aortic valve diseases.

       

      Project Partners

      Related Content

      In the following, we assembled related content that might be of your particular interest.

      Events

      Publications

      Research Publications

      • 1.Kraus, M., Mathew Stephen, M., Schapranow, M.-P.: Eatomics: Shiny exploration of quantitative proteomics data. Journal of Proteome Research. (2020). 
      • 2.Slosarek, T., Kraus, M., Schapranow, M.-P., Bottinger, E.: Qualitative Comparison of Selected Indel Detection Methods for RNA-Seq Data. International Work-Conference on Bioinformatics and Biomedical Engineering. bll. 166–177. Springer (2019). 
      • 3.Kraus, M., Hesse, G., Slosarek, T., Danner, M., Kesar, A., Bhushan, A., Schapranow, M.-P.: DEAME-Differential Expression Analysis Made Easy. Heterogeneous Data Management, Polystores, and Analytics for Healthcare. bll. 162–174. Springer (2018). 
      • 4.Kraus, M., Schapranow, M.-P.: An In-Memory Database Platform for Systems Medicine. Proceedings of the International Conference on Bioinformatics and Computational Biology. bll. 93–100. The International Society for Computers and Their Applications (ISCA) (2017). 
      • 5.Kraus, M., Niedermeier, J., Jankrift, M., Tietboehl, S., Stachewicz, T., Folkerts, H., Uflacker, M., Neves, M.: Olelo: a web application for intuitive exploration of biomedical literature. Nucleic acids research. (2017). 
      • 6.Schapranow, M.-P., Kraus, M., Danner, M., Plattner, H.: IMDBfs: Bridging the Gap between In-Memory Database Technology and File-Based Tools for Life Sciences. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine. bll. 1133–1139. IEEE (2016). 

      Sponsors

      Contact

      Please feel free to get directly in touch with the experts. Use the following contact form, if you have any open questions you might to share with us.

        First name / Last name

        E-mail address (required)

        Subject

        Message (required)