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Title:Genska ontologija farmakogenomike bioloških zdravil pri imunsko pogojenih boleznih : magistrsko delo
Authors:ID Kovačič, Tino (Author)
ID Potočnik, Uroš (Mentor) More about this mentor... New window
ID Jezernik, Gregor (Comentor)
Files:.pdf MAG_Kovacic_Tino_2025.pdf (2,36 MB)
MD5: 9202802461D27472946834FA293BCC58
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FKKT - Faculty of Chemistry and Chemical Engineering
Abstract: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.
Keywords:genska ontologija, biološka zdravila, biološki označevalci, atopijski dermatitis, astma, multipla skleroza
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[T. Kovačič]
Year of publishing:2024
Number of pages:1 spletni vir (1 datoteka PDF (IX, 65 str.))
PID:20.500.12556/DKUM-90514 New window
UDC:575.111:615.33(043.2)
COBISS.SI-ID:224399107 New window
Publication date in DKUM:16.01.2025
Views:173
Downloads:59
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FKKT
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:06.09.2024

Secondary language

Language:English
Title:Gene ontology of the pharmacogenomics of biologics medicines in immune-dependent diseases
Abstract: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.
Keywords:gene ontology, biologics, biomarkers, atopic dermatitis, asthma, multiple sclerosis


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