Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 108, Issue 37, Pages E681-E688Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1104384108
Keywords
autoimmunity; huntington's disease; protein network; bioinformatics; programmed cell death
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Funding
- P. Carl Petersen Foundation
- Danish Agency for Science Technology and Innovation
- Novo Nordisk A/S
- Juvenile Diabetes Research Foundation [33-2008-391]
- Fonds National de la Recherche Scientifique Belgium
- European Union (European Community)
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Type 1 diabetes (T1D) is a complex disease characterized by the loss of insulin-secreting beta-cells. Although the disease has a strong genetic component, and several loci are known to increase T1D susceptibility risk, only few causal genes have currently been identified. To identify disease-causing genes in T1D, we performed an in silico phenome-interactome analysis on a genome-wide linkage scan dataset. This method prioritizes candidates according to their physical interactions at the protein level with other proteins involved in diabetes. A total of 11 genes were predicted to be likely disease genes in T1D, including the INS gene. An unexpected topscoring candidate gene was huntingtin-interacting protein (HIP)-14/ ZDHHC17. Immunohistochemical analysis of pancreatic sections demonstrated that HIP14 is almost exclusively expressed in insulin-positive cells in islets of Langerhans. RNAi knockdown experiments established that HIP14 is an antiapoptotic protein required for beta-cell survival and glucose-stimulated insulin secretion. Proinflammatory cytokines (IL-1 beta and IFN-gamma) that mediate beta-cell dysfunction in T1D down-regulated HIP14 expression in insulin-secreting INS-1 cells and in isolated rat and human islets. Overexpression of HIP14 was associated with a decrease in IL-1 beta-induced NF-kappa B activity and protection against IL-1 beta-mediated apoptosis. Our study demonstrates that the current network biology approach is a valid method to identify genes of importance for T1D and may therefore embody the basis for more rational and targeted therapeutic approaches.
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