CASyM winter school of Systems Medicine took place between March 29th and April 1st 2017 in Ljubljana, Slovenia and is entitled »The 3rd SysBioMed hands-on tutorial: Systems Medicine Approaches in Personalized Medicine«
1Centre for functional genomic and bio-chips, Institute of Biochemistry, Medical faculty, University of Ljubljana, Slovenia,2Neurological clinic, University clinical center, Ljubljana, Slovenia,3Faculty of computer science and informatics, University of Ljubljana, Slovenia
Introduction There are more than 8.5 million people diagnosed with Alzheimer's dementia in Europe. This is proving to be a substantial financial burden for the society and as the population ages in the future, the burden will increase . Currently prescribed drugs for patients with Alzheimer's dementia are only symptomatic. Though there are some potential disease modifying drugs currently undergoing clinical trials, the results show that treatment should start before the appearance of first symptoms for it to be effective . Application of diagnostic tests in clinical setting carries the need of robust system of following patients’ data. The system also needs to maintain the data anonymity, especially when the testing is carried in the laboratories which are not part of the hospital. Our work derives from a larger project called INFOGEN, which aspires to create a versatile information system, suitable of holding sample data for laboratories involved in a wide variety of research. Results As the presence of allele E4 of the gene for Apolipoprotein E is associated with increased risk for Alzheimer’s disease, it is suitable for initial testing of our information system and its underlying database . The developed database is normalized, which means that there are no duplicated entries of data in the tables. The interface enables both automatic and manual entry of data and its analysis. The traceability of the samples is accomplished by the use of QR codes. These also simplify the entry of the results in the database. After the entry and confirmation of results in the system, the report is generated for each sample. Conclusion The developed information system represents an open-source alternative to commercially accessible data management and analysis tools such as Microsoft Excel or Microsoft Access. It enables safe storage of data and the traceability of the samples during testing. Even though the system was only tested with one diagnostic test, it has the ability to be expanded to accommodate additional tests. References  J. Hort, J. T. O’Brien, G. Gainotti, T. Pirttila, B. O. Popescu, I. Rektorova, S. Sorbi, and P. Scheltens, “EFNS guidelines for the diagnosis and management of Alzheimer’s disease,” Eur. J. Neurol., vol. 17, no. 10, pp. 1236–1248, 2010.  S. Schedin-Weiss, B. Winblad, and L. O. Tjernberg, “The role of protein glycosylation in Alzheimer disease,” FEBS J., vol. 281, no. 1, pp. 46–62, Jan. 2014.  C. M. Karch, C. Cruchaga, and A. M. Goate, “Alzheimer’s disease genetics: From the bench to the clinic,” Neuron, vol. 83, no. 1, pp. 11–26, 2014. Acknowledgements This work was co-financed by the Republic of Slovenia and the European Union under the European Social Fund (project ID 25-13-3), by Slovenian Research Agency grants P1-0390, P2-0359 and the infrastructure grant ELIXIR.
2006 - University of Ljubljana, Faculty of Medicine, Center for Functional Genomics and Bio-chips.