Periodic Reporting for period 2 - PoLiMeR (Polymers in the Liver: Metabolism and Regulation)
Période du rapport: 2020-10-01 au 2023-09-30
The PoLiMeR consortium is a Systems Medicing training network for young scientists of various disciplines and nationalities. We believe that the present day challenge to provide innovative therapies for a wide range of metabolic diseases requires strong international collaboration between experts from different scientific fields and sectors. Therefore, PoLiMeR has trained 15 PhD students in different aspects of Systems Medicine, including computational, laboratory, and clinical aspects of metabolic diseases. The students have carried out their research projects in 13 universities, small companies, and university hospitals in 7 European countries. Our PhD students come from all over the globe, from Europe, Asia, Africa and South America.
Our scientific focus was on the inherited metabolic diseases of carbohydrate and fat metabolism. Although individually rare (typically affecting less than 1 in 2,000 people), together the over 1,800 different inherited metabolic diseases have a serious impact on European health. Children, often suffering from severe and life-threatening symptoms, account for 68% of the patients. The wide variety of metabolic diseases dilutes the research efforts. Moreover, it becomes increasingly clear that individual differences with respect to history, lifestyle, and genetic make-up affect disease progression and treatment response.
Specifically, the PoLiMeR consortium has:
1. Trained a new generation of PhD students in the computational, laboratory, and clinical aspects of Systems Medicine, who have experience in collaborations across boundaries of countries, scientific disciplines, and sectors.
2. Developed a Systems Medicine approach for the inherited diseases of carbohydrate and fat metabolism in the liver. These can contribute to innovative diagnostic tools and treatments and be more widely applicable to other diseases.
PoLiMeR’s theoreticians constructed computer models that simulate liver metabolism at different levels of detail. At the most detailed level we visualised how a glycogen molecule grows and forms branches by addition of glucose molecules, and shrinks when the body needs glucose as a fuel. We also studied how this process is perturbed in patients with an enzymatic deficiency, the so-called glycogen storage diseases. At the intermediary level, we can simulate how large triglyceride molecules (fat) are degraded in over 50 sequential enzymatic reactions, to harvest the energy that supports the production of new glucose and other processes in the liver. For almost all of these enzymes inherited defects have been described. The model shows in detail how such deficiencies increase the concentrations of toxic metabolites in the cell, and also how they may lead to a deficiency in essential vitamin-B5 derived molecules. When zooming out further, we have also worked with a computational model that contains all the biochemical reactions known to occur in a human liver. This allows to study the impact of hundreds of known inherited enzyme deficiencies and how how the metabolism of these patients is affected by the available nutrients.
Yet, computer models are not the whole story. PoLiMeR’s experimentalists have collected data from patients and mice with a glycogen storage disease or a fatty-acid oxidation disorders. Mice are valuable if we want to study how the different organs are affected by the disease and how the organs respond in a concerted way. Using stable isotopes, it was possible to reveal the rates at which glycogen is synthesised and broken down at the same time, and that this cycling is much faster in mice with a glycogen storage disease. Zooming in, when we are interested in the role of one specific organ, the liver, we can generate a so-called ‘Liver-on-Chip’, a mini-organ that performs many of the functions of a real liver, but without any need for use of animals or taking invasive biopsy from a children. In a series of experiments, we have validated our computational predictions and collected data to make computer models specific for individual patients. Such individualised models revealed differences between patients that may explain why some show more severe symptoms than others, even if they have the same genetic defect. Finally, since data management is increasingly important in the era of big data, and it is a particularly challenge to find the data that you need, one of the PhD students focused entirely on this topic as a research project.
The PoLiMeR training programme was composed of different components. All PhD students had a research project in their specific field of expertise, in which they collaborated between different disciplines and institutes. As part of their training they visited each other’s institutes for short and long internships. During the COVID-19 pandemic we continued our collaborations online and exchanged samples and models. Fortunately, most of the planned internships could take place when the pandemic declined. Furthermore, the PhD students followed advanced scientific courses, in which our principle investigators shared their knowledge on the different aspects of Systems Medicine and inherited metabolic diseases. Moreover, students met a patient, and were trained in the lab and at the computer. Last but not least, the PoLiMeR PhD students received complementary skills training, focusing on data management, communication, grant writing and entrepreneurship. A highlight was the career training in which each PhD student got an individual assessment and coaching, wrote a proposal for an activity to spearhead his/her next career step, which then was funded by the consortium. With their grant, they went to foreign labs to explore options for research jobs, followed language training, had coaching for personal effectiveness, or invested in a start-up company.