Volume 8, Issue 5 pp. 252-260

Protein microarray analysis as a tool for monitoring cellular autoreactivity in type 1 diabetes patients and their relatives

Zuzana Vrabelova

Zuzana Vrabelova

Department of Paediatrics, 2nd Medical Faculty of Charles University, Prague, The Czech Republic

Search for more papers by this author
Stanislava Kolouskova

Stanislava Kolouskova

Department of Paediatrics, 2nd Medical Faculty of Charles University, Prague, The Czech Republic

Search for more papers by this author
Kristyna Böhmova

Kristyna Böhmova

Department of Paediatrics, 2nd Medical Faculty of Charles University, Prague, The Czech Republic

Search for more papers by this author
Maria Karlsson Faresjö

Maria Karlsson Faresjö

Division of Paediatrics and Diabetes Research Centre, Faculty of Health Sciences, Linköping University, Linkőping, Sweden

Search for more papers by this author
Zdenek Sumnik

Zdenek Sumnik

Department of Paediatrics, 2nd Medical Faculty of Charles University, Prague, The Czech Republic

Search for more papers by this author
Marta Pechova

Marta Pechova

Department of Chemistry and Biochemistry, 2nd Medical Faculty of Charles University, Prague, The Czech Republic

Search for more papers by this author
Miloslav Kverka

Miloslav Kverka

Institute of Microbiology, The Czech Academy of Science, Prague, The Czech Republic

Search for more papers by this author
Daniel Chudoba

Daniel Chudoba

Department of Biology and Genetics, 2nd Medical Faculty of Charles University, Prague, The Czech Republic

Search for more papers by this author
Klara Zacharovova

Klara Zacharovova

Department of Diabetology, Institute for Clinical and Experimental Medicine, Prague, The Czech Republic

Search for more papers by this author
Gabriela Stadlerova

Gabriela Stadlerova

Department of Paediatrics, 2nd Medical Faculty of Charles University, Prague, The Czech Republic

Search for more papers by this author
Pavlina Pithova

Pavlina Pithova

Department of Internal Medicine, 2nd Medical Faculty of Charles University, Prague, The Czech Republic

Search for more papers by this author
Marie Hladikova

Marie Hladikova

Department of Medical Informatics and Statistics, 2nd Medical Faculty of Charles University, Prague, The Czech Republic

Search for more papers by this author
Katerina Stechova

Corresponding Author

Katerina Stechova

Department of Paediatrics, 2nd Medical Faculty of Charles University, Prague, The Czech Republic

Katerina Stechova, MD, PhD
Laboratory of Autoimmune Diseases
Department of Paediatrics
University Hospital Motol
V Uvalu 84
Prague 5 – Motol, 15006
The Czech Republic.
Tel: +420 224 432 089;
fax: +420 224 432 020;
e-mail: [email protected]Search for more papers by this author
First published: 10 September 2007
Citations: 7

Abstract

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)-γ, tumor necrosis factor β, transforming growth factor β1, 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-γ (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.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.