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Herrenhausen Symposium
Event Archive Herrenhausen Symposium Individualised Infection Medicine: The Future is Now Infektionen sind nach wie vor eine der Haupttodesursachen weltweit. Individuell zugeschnittene Vorsorge und Therapien versprechen neue Heilungsmöglichkeiten. Wie aber…
Data protection
Data protection Data protection Thank you for your interest in our website. The Helmholtz Centre for Infection Research (HZI) takes the protection of personal data very seriously. It is possible to use our website without providing any personal data. This…
Imprint
Imprint according to the following German regulations: § 6 TDG, § 10 MDStV Publisher Helmholtz-Zentrum für Infektionsforschung GmbH (Helmholtz Centre for Infection Research) Inhoffenstraße 7 38124 Braunschweig Telefon: 0531 6181-0 Telefax: 0531 6181-2655…
ERC Proof of Concept Grant for Yang Li
“Prof. Dr. Yang Li impressively combines insights from the life sciences and data science in her research. In doing so, she is laying the foundation for new possibilities for individually adapted diagnoses and therapies in medicine. As head of the Centre for…
Jobs
Jobs © AdobeStock_294726409 Initiativbewerbungen Become part of the team We are always interested in receiving applications from motivated candidates. More © HZI PhD Program Initiative "Curiosity is infectious" With the initiative “Curiosity is infectious”,…
CAIMed Group 1b: AI and Bioinformatics
The identification of genetic risk factors and their molecular signaling pathways as well as the development of predictive models for disease progression and severity are crucial for progress in the understanding and individualized treatment of diseases. At the MHH, existing and planned patient cohorts with state-of-the-art (single-cell) multi-omics data are available. The bioinformatics junior research group will focus on the pre-processing of molecular data in order to create standardized data sets for the analyses of the other CAIMed junior research groups. The aim is to integrate this data on an unprecedented scale using innovative AI methods. These include the identification of factors that correlate with disease severity and progression using causal inference methods. Furthermore, the investigation of cell type-specific genetic effects on molecular characteristics will be carried out using the "deconvolution" method. Finally, mathematical models such as support vector machines will be developed to predict individual reactions to diseases/treatments and thus create a molecular basis for the stratification of patient groups. The aim is to promote the implementation of these mathematical models in medical treatment or diagnostic procedures as a crucial first step towards individualized prevention. Close cooperation with the Integrative Multi-Omics Data group is planned.
Individualised Medicine for Viral Infections
Opportunistic infections remain a serious threat to immunocompromised individuals, such as transplant recipients. We study opportunistic herpes viruses, such as the cytomegalovirus (CMV) by developing unique technologies for real-time measurement of virus growth, allowing us rapid identification of antiviral activity of primary samples and virtually any immune cell subset. This allows us to identify at-risk populations and develop targeted antiviral therapies for treatment and prevention of opportunistic viral infections. In the course of the COVID pandemic, our expertise in virus genetics was used to clone pseudoviruses expressing variants of the SARS-CoV-2 spike protein for the assessment of the neutralization capacity of sera or monoclonal antibodies, and this technology is pursued in the identification of correlates of immune protection in vaccinated or convalescent populations. We team with local and international teams of physicians and epidemiologists, providing technical support and scientific advice on complex laboratory serological diagnostics. In March 2019, Prof Dr. Dr. Luka Cicin-Sain was jointly appointed by the MHH (Hannover Medical School) and HZI (Helmholtz Centre for Infection Research) as CIIM Professor for "Individualised Medicine of Viral Infections", and as of 2021 he leads the CiiM-associated Department of “Viral Immunology” (VIRI) at the Helmholtz Centre for Infection Research in Braunschweig.
Infection Biology
Microbial communities consisting of bacteria, fungi and viruses colonize all surfaces of the human body. They are referred to in their entirety as the microbiome. The composition of the microbiome varies between individuals and also within an individual in the course of life. Important influencing factors at the beginning of life are the mode of birth and diet, later the intake of antibiotics and medication as well as long-term diets, the state of health, but also sport and stress play a role. In recent years, a large number of studies have begun to investigate the extent to which the microbiome and its changes actively contribute to our health and the development of diseases. For various diseases, it has been shown in animal models and clinical studies that certain changes in the microbiome influence either the development or the course of e.g. chronic inflammatory bowel diseases or susceptibility to infections. This has led to the development of novel microbiome-based therapies that are currently being investigated in animal models and clinical studies. Prof. Strowig's department uses interdisciplinary approaches from microbiological, immunological and bioinformatic methods to gain a molecular understanding of the complex interactions between the intestinal microbiome and the host. The knowledge that can be gained from this forms an important cornerstone for the development of new individual prevention and therapy approaches. The close cooperation between the MHH and HZI at the CiiM will enable research results from basic research to be transferred more directly into practice in the future. One example is the successful establishment of a microbiome analysis platform, which is essential for researching the influence of the host's microbiome on its susceptibility to infections and has already been used for various patient cohorts (RESIST-SeniorIndividuals, LöwenKIDS). Another example is the identification of specific microbiome components that can be used in preclinical models to prevent colonization with disease-promoting bacteria.
Computational Biology for Infection Research
The group studies microbial communities, including bacteria, viruses and eukaryotic community members, in the context of human health and disease. Direct metagenome, -transcriptome or -proteome sequencing of microbial community samples enables the study of microorganisms that cannot be obtained in pure culture, corresponding to most of the microbial world.
