microorganism
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- MeSH
- bakteriální infekce MeSH
- makrofágy MeSH
- novorozenec MeSH
- pneumonie etiologie patologie MeSH
- Check Tag
- mužské pohlaví MeSH
- novorozenec MeSH
- Publikační typ
- kazuistiky MeSH
Ciba Foundation symposium ; 80
346 s. : il.
Lymeská borelióza je vážným onemocněním, jehož původcem je v Evropě nejčastěji Borrelia garinii. Pro pochopení patogeneze tohoto onemocnění je důležité získat informace o proteinovém složení původce a významným zdrojem těchto informací je proteomová analýza. Pro identifikaci pomocí dvojrozměrové elektroforézy a hmotnostní spektrometrie bylo vybráno 63 proteinových spot Borrelia garinii (kmen CB61). Z nich bylo úspěšně identifikováno 40, většina se však vyskytovala v různých izoformách. Identifikováno tak bylo celkem 16 různých proteinů. Převažují proteiny s enzymatickou funkcí, ale podařilo se také identifikovat některé proteiny zahrnuté v enzootickém cyklu. Jsou to zejména proteiny skupiny Osp, membránový protein p66 a flagelární protein.
Lyme disease is a serious illness caused in Europe most frequently by Borrelia garinii. It is important to find information about protein content for understanding pathogenesis of Lyme disease. Proteome analysis is an important source of this information. We used 2-dimensional electrophoresis and mass spectrometry for identification of 63 chosen Borrelia garinii (strain CB61) protein spots. Overall 40 protein spots were identified however most of them occurred in several isoforms. Totally 16 different proteins were identified. Among them we identified several enzymes. Proteins that participate in enzootic cycle of pathogen are more interesting. They are mainly proteins of Osp group, membrane protein p66 and flagellar protein.
- MeSH
- 2D gelová elektroforéza metody využití MeSH
- biologické markery MeSH
- Borrelia burgdorferi komplex genetika izolace a purifikace MeSH
- hmotnostní spektrometrie metody využití MeSH
- klíště mikrobiologie parazitologie patogenita MeSH
- lidé MeSH
- lymeská nemoc genetika imunologie mikrobiologie MeSH
- proteomika metody trendy MeSH
- vakcína proti lymeské nemoci genetika imunologie MeSH
- virulence genetika imunologie MeSH
- Check Tag
- lidé MeSH
The goal of this work was to elucidate similarities between microorganisms from the perspective of the humoral immune system reactivity in professional athletes. The reactivity of serum IgG of 14 young, individuals was analyzed to 23 selected microorganisms as antigens by use of the in house ELISA. Serum IgM and IgA reactivity was also analyzed and a control group of sex and age matched individuals was used for comparison. The obtained absorbance levels were used as a string of values to correlate the reactivity to different microorganisms. IgM was found to be the most cross reactive antibody class, Pearson's r = 0.7-0.92, for very distant bacterial species such as Lactobacillus and E. coli.High correlation in IgG levels was found for Gammaproteobacteria and LPS (from E. coli) (r = 0.77 for LPS vs. P. aeruginosa to r = 0.98 for LPS vs. E.coli), whereas this correlation was lower in the control group (r = 0.49 for LPS vs. P. aeruginosa to r = 0.66 for LPS vs. E.coli). The correlation was also analyzed between total IgG and IgG subclasses specific for the same microorganism, and IgG2 was identified as the main subclass recognising different microorganisms, as well as recognising LPS. Upon correlation of IgG with IgA for the same microorganism absence of or negative correlation was found between bacteria-specific IgA and IgG in case of Lactobacillus and Staphylococcusgeni, whereas correlation was absent or positive for Candida albicans, Enterococcusfaecalis,Streptococcus species tested in professional athletes. Opposite results were obtained for the control group. Outlined here is a simple experimental procedure and data analysis which yields functional significance and which can be used for determining the similarities between microorganisms from the aspect of the humoral immune system, for determining the main IgG subclass involved in an immune response as well as for the analysis of different target populations.
- MeSH
- dospělí MeSH
- ELISA MeSH
- humorální imunita MeSH
- imunoglobulin A krev MeSH
- imunoglobulin G krev MeSH
- imunoglobulin M krev MeSH
- lidé MeSH
- mladiství MeSH
- protilátky bakteriální krev MeSH
- specificita protilátek * MeSH
- sportovci * MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
