The workshops run in parallel.

Only attend one of the workshops and do not jump between the sessions.

Thank you!


Thursday, 17 November 2022 | 17:00 - 18:00

Workshop Booth 1

Workshop title:

The role of Parkin-mediated mitochondrial signalling in Parkinson’s disease

Mutations in the E3 ubiquitin ligase Parkin cause autosomal recessive Parkinson’s disease (PD). Together with PTEN-induced kinase 1 (PINK1), Parkin controls the clearance of dysfunctional mitochondria. New mitochondria are generated through an interplay of nuclear- and mitochondrial-encoded proteins, and recent studies suggest that Parkin influences this process at both levels. In addition, Parkin was shown to prevent mitochondrial membrane permeability, impeding mitochondrial DNA (mtDNA) escape and subsequent neuroinflammation. However, Parkin’s regulatory roles independent of mitophagy are not well described in patient-derived neurons. Thus, in our recent studies, we sought to investigate Parkin’s role in preventing neuronal mtDNA dyshomeostasis, release, and glial activation at the endogenous level. Moreover, we tested the hypothesis that Parkin deficiency is also underlying the PD pathogenesis in a subset of sporadic cases. Our findings suggest that Parkin co-regulates mitophagy, mitochondrial biogenesis, and mtDNA maintenance pathways, thereby protecting midbrain neurons from neuroinflammation and degeneration.

Workshop Booth 2

Workshop title:

Integrating metabolome and microbiome data – lessons for design, statistical analysis, and interpretation

The determination of the microbiome’s metabolic functions is a key challenge in understanding the contribution of the gut microbiome to health and disease. As metabolic functions are shared across phylogenetic classes, differences in microbiome composition do not necessarily translate in differences in metabolic output. Therefore, analyses of the microbiome composition alone cannot give conclusive insights into the collective metabolic output of a community. In the workshop, we discuss methodological challenges in the combined analysis of metabolome and microbiome data in the context of frequent life science research designs utilising observational data. The workshop will cover topics ranging from data normalisation over adequate statistical analysis to advanced modelling techniques for the integration of microbiome and metabolome data based on constraint-based modelling. The workshop will also cover important pitfalls in interpretation of multi-omics data. The learnt lessons will then be applied to data from Parkinson’s disease studies and colorectal cancer studies. Goal of the workshop is to enable the participants to make sound methodological choices when integrating microbiome and metabolome data, while understanding the limitations and potentials of the chosen methodology.

Indicate what the students should prepare beforehand and/or the level of knowledge required:

Experience with statistical analysis of omics data is of advantage, but is not a prerequisite. For preparation, read Hertel et al. (2021), Gut microbes (10.1080/19490976.2021.1915673)


Friday, 18 November 2022 | 17:00 - 18:00

Workshop Booth 1

Workshop title:

Early Life Stress: Gene-Environment Interactions & Epigenetics

Early life stress (ELS) has a lifelong impact on individuals’ behavior and health through changes at different levels of analysis. Research in the last few decades established that ELS exerts its effects a) in interaction with genetic and environmental factors, b) varied by developmental periods, c) at multiple levels, from molecular to behavioral, and d) through epigenetic mechanisms. This talk will cover how our understanding of the impact of ELS has progressed over the years focusing on the role of gene-environment interactions, developmental programming, endophenotypes, and epigenetic mechanisms. The talk will end by presenting the major debates, real life implications and recent breakthroughs in the field to foster further discussion

Workshop Booth 2

About Katrin Frauenknecht

Neuropathologist / Deputy Head Luxembourg Center of Neuropathology (LCNP)
National Center of Pathology (NCP),
Laboratoire national de santé

Workshop title:

Experimental models in Parkinson’s disease (PD) and reality: translational aspects.

In the workshop, we will explore the relationship between experimental models and Parkinson’s disease (PD) in humans. Experimental models are essential to better understand the underlying mechanisms and to find more effective treatments for the disease. Obviously, experimental models cannot perfectly reflect all aspects of human disease, as there are too many differences between animals and humans in terms of neuroanatomy, cell types involved in pathology, immune system or lifespan, to name but a few. Nevertheless, good models are indispensable to enable modelling of selective traits under strictly controlled conditions. However, experimental data must also stand up to reality. To reduce the likelihood of studying experimental artefacts that have no clinical relevance, validation of the results in human tissue is essential. Using PD as an example, we will discuss which aspects should be taken into account in animal models and how experimental results can be adequately compared with human pathology