20.500.12556/DKUM-90514 Genska ontologija farmakogenomike bioloških zdravil pri imunsko pogojenih boleznih magistrsko delo Gene ontology of the pharmacogenomics of biologics medicines in immune-dependent diseases V magistrskem delu smo z uporabo genske ontologije preučevali farmakogenomiko bioloških zdravil pri imunsko pogojenih boleznih, s poudarkom na atopijskem dermatitisu, astmi in multipli sklerozi. Namen raziskave je bil ugotoviti vpliv bioloških označevalcev na učinkovitost zdravljenja z biološkimi zdravili ter identificirati skupne in specifične molekularne poti teh bolezni. S sistematskim pregledom literature smo analizirali že objavljene članke, ki poročajo o genih povezanih z odzivom na zdravljenje z biološkimi zdravili pri vseh treh boleznih, nato pa smo izvedli analizo genske ontologije s pomočjo programske opreme Cytoscape. Primerjali smo individualne analize za vsako bolezen posebej in izvedli komparativno analizo genske ontologije. Ugotovili smo, da so statistično najbolj pomembni pojmi za vse tri bolezni vključujejo: aktivacijo B celic (p vrednost = 1,16 × 10-17), diferenciacijo T celic (p vrednost = 2,15 × 10-33), diferenciacijo CD4+ alfa-beta T celic (p vrednost = 6,65 × 10-25) ter celično apoptozo (p vrednost = 5,28 × 10-18). Pri vseh posameznih analizah so se pojavili tudi statistično pomembni pojmi, kot so mikroglialna aktivnost, regulacija imunoglobulina E in vitamina D, ki posredno ali neposredno vplivajo na odziv na biološka zdravila. Diferenciacija Bergmannovih glialnih celic (p vrednost = 1,67 × 10-4) je bil statistično pomemben pojem, ki se je pojavil le pri analizi multiple skleroze. Povzamemo lahko, da je v tej nalogi razkritih več GO izrazov, ki so vključeni v molekularne poti atopijskega dermatitisa, astme in multiple skleroze ter služijo kot pokazatelji odziva na zdravljenje z biološkimi zdravili za te bolezni. In the master's thesis, we used gene ontology to study the pharmacogenomics of biological drugs in immune-mediated diseases, with a focus on atopic dermatitis, asthma, and multiple sclerosis. The aim of the research was to determine the impact of biological markers on the effectiveness of treatment with biological drugs and to identify common and specific molecular pathways of these diseases. Through a systematic literature review, we analyzed previously published articles reporting on genes associated with the response to treatment with biological drugs in all three diseases, followed by gene ontology analysis using Cytoscape software. We compared individual analyses for each disease separately and conducted a comparative gene ontology analysis. We found that the most statistically significant terms for all three diseases include: B cell activation (p-value = 1,16 × 10-17), T cell differentiation (p-value = 2,15 × 10-33), CD4+ alpha-beta T cell differentiation (p-value = 6,65 × 10-25), and cellular apoptosis (p-value = 5,28 × 10-18). In all individual analyses, statistically significant terms such as microglial activity, regulation of immunoglobulin E and vitamin D, which directly or indirectly influence the response to biological drugs, also emerged. Differentiation of Bergmann glial cells (p-value = 1,67 × 10-4)) was a statistically significant term that appeared only in the analysis of multiple sclerosis. In summary, this thesis reveals several GO terms involved in the molecular pathways of atopic dermatitis, asthma, and multiple sclerosis, which serve as indicators of the response to treatment with biological drugs for these diseases. genska ontologija biološka zdravila biološki označevalci atopijski dermatitis astma multipla skleroza gene ontology biologics biomarkers atopic dermatitis asthma multiple sclerosis true true false [T. Kovačič] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2024-09-06 10:08:50 2025-01-16 15:34:02 2025-01-30 03:09:47 0000-00-00 00:00:00 2024 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (IX, 65 str.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 575.111:615.33(043.2) 224399107 MAG_Kovacic_Tino_2025.pdf MAG_Kovacic_Tino_2025.pdf 1 9202802461D27472946834FA293BCC58 6f8ed42afc91a1511074a1dc2c7d66bf9a4ab3de7d51f1612b93f82ef215e005 d5292c46-d33d-11ef-bf5f-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=187870 Fakulteta za kemijo in kemijsko tehnologijo 0 0 0