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Protein microarray analysis as a tool for monitoring cellular autoreactivity in type 1 diabetes patients and their relatives
Z. Vrabelova, S. Kolouskova, K. Bohmova, M.K. Faresjo, Z. Sumnik, M. Pechova, M. Kverka, D. Chudoba, K. Zacharovova, G. Stadlerova, P. Pithova, M. Hladikova, K. Stechova
Language English Country Denmark
Grant support
NR8127
MZ0
CEP Register
Digital library NLK
Full text - Část
Full text - Část
Source
NLK
Wiley Online Library (archiv)
from 2000-01-01 to 2012-12-31
- MeSH
- Autoantibodies genetics MeSH
- Protein Array Analysis MeSH
- Cytokines chemical synthesis MeSH
- Diabetes Mellitus, Type 1 genetics immunology MeSH
- Child MeSH
- Financing, Organized MeSH
- Glutamate Decarboxylase genetics chemistry MeSH
- Interleukins genetics MeSH
- Humans MeSH
- Adolescent MeSH
- Molecular Sequence Data MeSH
- Child, Preschool MeSH
- Family MeSH
- Amino Acid Sequence MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Child, Preschool MeSH
- Female MeSH
BACKGROUND: Autoreactive T cells have a crucial role in type 1 diabetes (T1D) pathogenesis. OBJECTIVES: The aim of our study was to monitor the in vitro production of cytokines by peripheral blood mononuclear cells (PBMCs) after stimulation with diabetogenic autoantigens. Subjects: Ten T1D patients (tested at the time of diagnosis and 6 and 12 months later), 10 first-degree relatives of the T1D patients, and 10 controls underwent the study. METHODS: PBMCs were stimulated with glutamic acid decarboxylase 65 (GAD65) amino acids (a.a.) 247-279, 509-528, and 524-543; proinsulin a.a. 9-23; and tyrosine phosphatase (islet antigen-2)/R2 a.a. 853-872. Interleukin (IL)-2, IL-4, IL-5, IL-6, IL-10, IL-13, interferon (IFN)-gamma, tumor necrosis factor beta, transforming growth factor beta1, and granulocyte colony-stimulating factor (GCSF) were analyzed by protein microarray. RESULTS: Differences in cytokine(s) poststimulatory and mainly in basal production were observed in all groups. The most prominent findings were in controls, the higher basal levels of IL-2, IL-4, IL-5, IL-13, and GCSF were observed when compared with relatives (p < 0.05, for all). After stimulation in controls, there was a significant decrease in IL-2, IL-13, GCSF, and IFN-gamma (p < 0.05, for all). The group of relatives was the most variable in poststimulatory production. A strong correlation between cytokines production was found but groups differed in this aspect. CONCLUSION: By multiplex analysis, it may be possible, for example, to define the risk immunological response pattern among relatives or to monitor the immune response in patients on immune modulation therapy.
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- $a Department of Paediatrics, 2nd Medical Faculty of Charles University, Prague, The Czech Republic
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- $a BACKGROUND: Autoreactive T cells have a crucial role in type 1 diabetes (T1D) pathogenesis. OBJECTIVES: The aim of our study was to monitor the in vitro production of cytokines by peripheral blood mononuclear cells (PBMCs) after stimulation with diabetogenic autoantigens. Subjects: Ten T1D patients (tested at the time of diagnosis and 6 and 12 months later), 10 first-degree relatives of the T1D patients, and 10 controls underwent the study. METHODS: PBMCs were stimulated with glutamic acid decarboxylase 65 (GAD65) amino acids (a.a.) 247-279, 509-528, and 524-543; proinsulin a.a. 9-23; and tyrosine phosphatase (islet antigen-2)/R2 a.a. 853-872. Interleukin (IL)-2, IL-4, IL-5, IL-6, IL-10, IL-13, interferon (IFN)-gamma, tumor necrosis factor beta, transforming growth factor beta1, and granulocyte colony-stimulating factor (GCSF) were analyzed by protein microarray. RESULTS: Differences in cytokine(s) poststimulatory and mainly in basal production were observed in all groups. The most prominent findings were in controls, the higher basal levels of IL-2, IL-4, IL-5, IL-13, and GCSF were observed when compared with relatives (p < 0.05, for all). After stimulation in controls, there was a significant decrease in IL-2, IL-13, GCSF, and IFN-gamma (p < 0.05, for all). The group of relatives was the most variable in poststimulatory production. A strong correlation between cytokines production was found but groups differed in this aspect. CONCLUSION: By multiplex analysis, it may be possible, for example, to define the risk immunological response pattern among relatives or to monitor the immune response in patients on immune modulation therapy.
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