Altered chemokine levels in individuals at risk of Type 1 diabetes mellitus.
AIMS: The hypothesis was tested in an exploratory study that individuals at high risk of developing Type 1 diabetes mellitus have altered systemic levels of cytokines and chemokines. SUBJECTS AND METHODS: Forty-two non-diabetic first-degree relatives of patients with Type 1 diabetes mellitus were recruited. Of these, 18 had multiple islet autoantibodies (islet cell antibody, glutamic acid decarboxylase antibody, IA-2 antibody). Follow-up for 9-11 years confirmed high vs. moderate diabetes risk in islet autoantibody-positive vs. -negative relatives. Cytokines and chemokines were determined by enzyme-linked immunosorbent assay (ELISA). RESULTS: Serum concentrations of classic Th1-associated cytokines (IFN-gamma, IL-12, IL-18) or Th2/Treg-associated cytokines (IL-5, IL-10, IL-13) did not significantly differ in high vs. moderate diabetes risk group. However, of six chemokines analysed, levels of CCL3 and CCL4 were increased (P = 0.0442 and P = 0.0334) while CCL2 was decreased (P = 0.0318) in the multiple islet autoantibody-positive group. No significant differences were seen for CCL5, CCL11, CXCL10. There was a significant correlation between the two closely related chemokines CCL3 and CCL4 in individuals at risk (r = 0.84, P = 0.00005), but not in the autoantibody-negative group. CONCLUSION: Relatives at high risk of developing Type 1 diabetes mellitus have abnormal cellular immune regulation at the level of systemic chemokines. The up-regulation of CCL3 and CCL4 vs. down-regulation of CCL2 suggests opposed functions of these chemokines in the disease process. These findings need to be confirmed by independent studies.[1]References
- Altered chemokine levels in individuals at risk of Type 1 diabetes mellitus. Hanifi-Moghaddam, P., Kappler, S., Seissler, J., Müller-Scholze, S., Martin, S., Roep, B.O., Strassburger, K., Kolb, H., Schloot, N.C. Diabet. Med. (2006) [Pubmed]
Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenesOpen Access LicencePrivacy PolicyTerms of Useapsburg









