Summary project
Atopic dermatitis (AD) is a chronic inflammatory disorder characterized by skin lesions, itch, pain, sleep disturbances, and multiple comorbidities with significant decrease in quality of life. It affects up to 20% of children and 10% of adults, and effective and safe treatment options for moderate-to-severe AD have long been lacking. This has changed by the recent introduction of the first biological, the IL-4R blocking antibody dupilumab, blocking both IL-4 AND IL-13 signalling. Dupilumab is effective in reducing AD, but also induces an unexpected side-effect: up to 30% of the patients develop a moderate to severe conjunctivitis needing anti-inflammatory treatment. The mechanism of drug-induced conjunctivitis development is unclear, which severely hampers clinical management. Furthermore, an alternative biological for AD treatment is expected to enter the market this year: tralokinumab, an IL-13 blocking developed by Leo Pharma. In phase III trials tralokinumab was shown to be effective, but there were also signs of conjunctivitis. Therefore the development of reliable tools to understand, classify, and test treatment of AD ocular comorbidities (disease- or drug-related) are urgently warranted.
In this project we aim to
By developing these novel molecular tools and technologies to understand and diagnose ocular comorbidities, we will be able to (1) identify patients at risk, (2) determine the effect of (novel) therapeutics, (3) develop a precision medicine approach for AD but also other patient groups with ocular co-morbidities.
As a postdoc you will be in the lead of the project. You will be responsible for setting up the assays, performing the experiments, analysing the data and writing down/presenting the findings. You will be part of a multidisciplinary team and will closely collaborate with a physician scientist who will include patients and relevant materials for analysis. The project will give you the chance to interact with many disciplines and to learn novel technologies and analyses such as single-cell sequencing and setting up organoid cultures.
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