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T Cells Recognize an Immunodominant Epitope of Heat Shock Protein 65 in Kawasaki Disease

Overview of attention for article published in Molecular Medicine, July 2000
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Title
T Cells Recognize an Immunodominant Epitope of Heat Shock Protein 65 in Kawasaki Disease
Published in
Molecular Medicine, July 2000
DOI 10.1007/bf03401796
Pubmed ID
Authors

Guido Sireci, Francesco Dieli, Alfredo Salerno

Abstract

Kawasaki disease (KD) is an acute systemic vasculitis of infancy and early childhood that is characterized by endothelial cell damage associated with T-cell activation. Lymphocytes infiltrating damaged tissues might be responsible for the disease through secretion of cytokines, such as tumor necrosis factor (TNF)-alpha, that could cause fever, as well as endothelial tissue damage. Debate is growing about the nature of antigen responsible for T-cell activation in KD. Bacillus Calmette Guerin (BCG) and purified protein derivative (PPD) hyperresponsiveness was observed in KD patients and this phenomenon was hypothetically ascribed to cross-reactivity between mycobacterial Heat Shock Protein (HSP) 65 and human homologue HSP63. CD4+ and CD8+ T-cell clones were obtained from peripheral blood of KD patients in acute phase, or control subjects. The clones were tested for reactivity toward HSP65 and derived peptides. Both proliferation and cytokine production were analyzed. A significant fraction of CD4 and CD8 T-cell clones from KD patients recognized an epitope from HSP65, spanning amino acids 65-85. T-cell clones cross-reacted with the corresponding 90-110 peptide sequence of human HSP-63. Cross-reactivity between specific epitopes of mycobacterial and human HSP could play a role in the development of the tissue-damage characteristic of KD.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 3%
United Kingdom 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Student > Master 5 14%
Student > Ph. D. Student 4 11%
Professor > Associate Professor 4 11%
Other 3 8%
Other 8 22%
Unknown 6 17%
Readers by discipline Count As %
Medicine and Dentistry 20 56%
Agricultural and Biological Sciences 4 11%
Biochemistry, Genetics and Molecular Biology 2 6%
Immunology and Microbiology 2 6%
Business, Management and Accounting 1 3%
Other 0 0%
Unknown 7 19%