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Projects / Programmes source: ARIS

Imunska dogajanja v kroničnih bakterijskih vnetiščih (Slovene)

Research activity

Code Science Field Subfield
3.01.00  Medical sciences  Microbiology and immunology   

Code Science Field
B500  Biomedical sciences  Immunology, serology, transplantation 
Keywords
chronic inflammation, immunopathology, bacteria, mouse model, flow cytometry, lymphocytes
Evaluation (rules)
source: COBISS
Researchers (7)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  10331  PhD Tatjana Avšič-Županc  Microbiology and immunology  Researcher  1999 - 2001  799 
2.  10337  PhD Alojz Ihan  Microbiology and immunology  Head  2000 - 2001  1,450 
3.  10442  PhD Nataša Ihan Hren  Stomatology  Researcher  1999 - 2001  308 
4.  11622  PhD Mario Poljak  Microbiology and immunology  Researcher  1999 - 2001  1,217 
5.  05382  PhD Saša Simčič  Microbiology and immunology  Researcher  2000 - 2001  150 
6.  07942  PhD Bojan Tepeš  Microbiology and immunology  Researcher  2000 - 2001  712 
7.  04890  PhD Branka Wraber  Microbiology and immunology  Researcher  1999 - 2001  266 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0381  University of Ljubljana, Faculty of Medicine  Ljubljana  1627066  48,203 
Abstract
Research project is based on investigation of immunopathological events in chronic bacterial lesions, caused by certain pathogenic and oportunistic bacterial species (streptococci, anaerobic bacteria, Helicobacter pylori, Borrelia burgdorferi, mycobacteria). The study of immune response against distinct bacterial species and strains may be of value for understanding immune events in cronically inflammed tisue lesions, colonised by distinct bacterial strains. An analysis of immunopathological events may be useful in diagnostic and prognostic consideration of chronic bacterial lesions. We will also establish and make an analysis of a mouse model of chronic bacterial infection (cotton trap) to get a deeper insight into interactions between immune cells and distinct bacterial strains. By using our model we will mimic a chronical infectious process that can be in details analysed by flow cytometry as the most accurate method for analysing lymphocyte populations and lymphocyte activation molecules.
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