National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Střevní mykobiom asociovaný s diagnózou zánětlivého střevního onemocnění založený na tkáňových biopsiích
CIMICKÁ, Jana
This thesis reveals results of NGS mycobiome analysis from formalin-fixed, paraffin-embedded samples of Crohn's disease, ulcerative colitis patients and healthy controls, divides fungal genera into three experimental groups, determines their affiliation to health and disease, suggests fungal genera interactions, and shows specific fungal genera related to the diagnosis.
Molekulární diagnostika fungálních patogenů z klinických vzorků
CIMICKÁ, Jana
This study is focused on optimization and use of molecular methods in mycological diagnostics. The patient's life often depends on early diagnosis, which current culture methods cannot provide. The solution is based on pan-fungal primers of ITS region and next generation sequencing (NGS). These methods were used for fungal detection from FFPE tissue samples from patients with ulcerative colitis (UC), Crohn disease (CD) and 10 controls without chronic inflammatory changes in the intestine. Results of this study have three levels. Firstly, the process of optimization highlights the importance of sterile DNA isolation in a laminar box which can prevent contamination by Malassezia spp. Secondly, raw data showed balanced rate of Ascomycota and Basidiomycota in CD samples similar to negative controls, while UC samples indicated higher representation of Ascomycota than other groups. Thirdly, detailed data showed fungal genera Malassezia, Cladosporium and Toninia in all groups, while genus Candida was found only in UC samples and genera Engyodontium and Ramularia were found in CD samples. In conclusion, mycobiome plays a role in inflammatory bowel diseases; however, its compartments are still questionable. The optimization of pan-fungal nested PCR and NGS helped with introduction of mycological diagnostics from FFPE samples to Bioptická laboratoř s.r.o. and is used for differential diagnostics.

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