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In Type 1 Diabetes a Subset of Anti-Coxsackievirus B4 Antibodies Recognize Autoantigens and Induce Apoptosis of Pancreatic Beta Cells

Overview of attention for article published in PLOS ONE, February 2013
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Title
In Type 1 Diabetes a Subset of Anti-Coxsackievirus B4 Antibodies Recognize Autoantigens and Induce Apoptosis of Pancreatic Beta Cells
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0057729
Pubmed ID
Authors

Caterina Bason, Renata Lorini, Claudio Lunardi, Marzia Dolcino, Alessandro Giannattasio, Giuseppe d’Annunzio, Antonella Rigo, Nicoletta Pedemonte, Roberto Corrocher, Antonio Puccetti

Abstract

Type 1 diabetes is characterized by autoimmune destruction of pancreatic beta cells. The role played by autoantibodies directed against beta cells antigens in the pathogenesis of the disease is still unclear. Coxsackievirus B infection has been linked to the onset of type 1 diabetes; however its precise role has not been elucidated yet. To clarify these issues, we screened a random peptide library with sera obtained from 58 patients with recent onset type 1 diabetes, before insulin therapy. We identified an immunodominant peptide recognized by the majority of individual patients'sera, that shares homology with Coxsackievirus B4 VP1 protein and with beta-cell specific autoantigens such as phogrin, phosphofructokinase and voltage-gated L-type calcium channels known to regulate beta cell apoptosis. Antibodies against the peptide affinity-purified from patients' sera, recognized the viral protein and autoantigens; moreover, such antibodies induced apoptosis of the beta cells upon binding the L-type calcium channels expressed on the beta cell surface, suggesting a calcium dependent mechanism. Our results provide evidence that in autoimmune diabetes a subset of anti-Coxsackievirus antibodies are able to induce apoptosis of pancreatic beta cells which is considered the most critical and final step in the development of autoimmune diabetes without which clinical manifestations do not occur.

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Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 25%
Researcher 10 19%
Student > Master 7 13%
Student > Ph. D. Student 5 10%
Student > Doctoral Student 2 4%
Other 6 12%
Unknown 9 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 25%
Medicine and Dentistry 11 21%
Biochemistry, Genetics and Molecular Biology 6 12%
Immunology and Microbiology 5 10%
Engineering 2 4%
Other 3 6%
Unknown 12 23%