| 1. |
|
|
| 2. |
|
|
| 3. |
|
|
| 4. |
|
|
| 5. |
- Bergholdt, R, et al.
(författare)
-
Transcriptional profiling of type 1 diabetes genes on chromosome 21 in a rat beta-cell line and human pancreatic islets
- 2007
-
Ingår i: Genes and Immunity. - : Springer Science and Business Media LLC. - 1476-5470 .- 1466-4879. ; 8:3, s. 232-238
-
Tidskriftsartikel (refereegranskat)abstract
- We recently finemapped a type 1 diabetes (T1D)-linked region on chromosome 21, indicating that one or more T1D-linked genes exist in this region with 33 annotated genes. In the current study, we have taken a novel approach using transcriptional profiling in predicting and prioritizing the most likely candidate genes influencing beta-cell function in this region. Two array-based approaches were used, a rat insulinoma cell line (INS-1 alpha beta) overexpressing pancreatic duodenum homeobox 1 (pdx-1) and treated with interleukin 1 beta (IL-1 beta) as well as human pancreatic islets stimulated with a mixture of cytokines. Several candidate genes with likely functional significance in T1D were identified. Genes showing differential expression in the two approaches were highly similar, supporting the role of these specific gene products in cytokine-induced beta-cell damage. These were genes involved in cytokine signaling, oxidative phosphorylation, defense responses and apoptosis. The analyses, furthermore, revealed several transcription factor binding sites shared by the differentially expressed genes and by genes demonstrating highly similar expression profiles with these genes. Comparable findings in the rat beta-cell line and human islets support the validity of the methods used and support this as a valuable approach for gene mapping and identification of genes with potential functional significance in T1D, within a region of linkage.
|
|
| 6. |
- Concannon, P, et al.
(författare)
-
Type 1 Diabetes: Evidence for susceptibility loci from four genome-wide linkage scans in 1,435 multiplex families.
- 2005
-
Ingår i: Diabetes. - 1939-327X. ; 54, s. 2995-3001
-
Tidskriftsartikel (refereegranskat)abstract
- Type 1 diabetes is a common, multifactorial disease with strong familial clustering (genetic risk ratio [{lambda}S] ~ 15). Approximately 40% of the familial aggregation of type 1 diabetes can be attributed to allelic variation of HLA loci in the major histocompatibility complex on chromosome 6p21 (locus-specific {lambda}S ~ 3). Three other disease susceptibility loci have been clearly demonstrated based on their direct effect on risk, INS (chromosome 11p15, allelic odds ratio [OR] ~ 1.9), CTLA4 (chromosome 2q33, allelic OR ~ 1.2), and PTPN22 (chromosome 1p13, allelic OR ~ 1.7). However, a large proportion of type 1 diabetes clustering remains unexplained. We report here on a combined linkage analysis of four datasets, three previously published genome scans, and one new genome scan of 254 families, which were consolidated through an international consortium for type 1 diabetes genetic studies (www.t1dgc.org) and provided a total sample of 1,435 families with 1,636 affected sibpairs. In addition to the HLA region (nominal P = 2.0 x 10–52), nine non–HLA-linked regions showed some evidence of linkage to type 1 diabetes (nominal P < 0.01), including three at (or near) genome-wide significance (P < 0.05): 2q31-q33, 10p14-q11, and 16q22-q24. In addition, after taking into account the linkage at the 6p21 (HLA) region, there was evidence supporting linkage for the 6q21 region (empiric P < 10–4). More than 80% of the genome could be excluded as harboring type 1 diabetes susceptibility genes of modest effect ({lambda}S ≥ 1.3) that could be detected by linkage. This study represents one of the largest linkage studies ever performed for any common disease. The results demonstrate some consistency emerging for the existence of susceptibility loci on chromosomes 2q31-q33, 6q21, 10p14-q11, and 16q22-q24 but diminished support for some previously reported locations.
|
|
| 7. |
|
|
| 8. |
- Ghandil, P, et al.
(författare)
-
Crohn's disease associated CARD15 (NOD2) variants are not involved in the susceptibility to type 1 diabetes
- 2005
-
Ingår i: Molecular Genetics and Metabolism. - : Elsevier BV. - 1096-7192. ; 86:3, s. 379-383
-
Tidskriftsartikel (refereegranskat)abstract
- Three variants in the caspase recruitment domain 15/nucleotide-binding oligomerization domain 2 (CARD15/NOD2) gene have been shown to be associated with Crohn's disease (CD). There is a strong support for shared genetic determinants between various autoimmune and inflammatory diseases. In particular, linkage of type 1 diabetes (T1D) and other autoimmune and inflammatory diseases has been reported on chromosome 16, encompassing the region containing the CARD15 gene. We therefore considered this gene as a good candidate for the T1D locus mapped to this region, and we tested the three CARD15 variants in the susceptibility to T I D in two independent settings: family based association analysis in Scandinavian multiplex families that we previously showed to be linked to this region, and case/control association study in a large cohort of French diabetic patients. We found no evidence for association of these variants with T1D overall, nor in subgroups of patients with or without the major risk genotypes at HLA-DRB1, at insulin (INS), or positive or negative for autoantibodies specific to other autoimmune diseases. Our results do not support a role for CD-associated CARD15 variants in the susceptibility to T1D, and suggest that another gene is responsible for the shared susceptibility between autoimmune and inflammatory diseases mapping to this region.
|
|
| 9. |
|
|
| 10. |
|
|
| 11. |
|
|
| 12. |
|
|
| 13. |
|
|
| 14. |
|
|
| 15. |
|
|
| 16. |
|
|
| 17. |
|
|
| 18. |
|
|
| 19. |
|
|
| 20. |
|
|
| 21. |
|
|
| 22. |
|
|
| 23. |
|
|
| 24. |
|
|
| 25. |
|
|
| 26. |
|
|
| 27. |
- Skovhus, K. V., et al.
(författare)
-
Identification and characterization of secretagogin promoter activity
- 2006
-
Ingår i: Scandinavian Journal of Immunology. - : Wiley. - 1365-3083 .- 0300-9475. ; 64:6, s. 639-645
-
Tidskriftsartikel (refereegranskat)abstract
- Secretagogin is a newly identified calcium-binding protein selectively expressed in neuroendocrine tissue and pancreatic beta-cells. The function of secretagogin is unknown, but it has been suggested in beta-cells to influence calcium-influx, insulin secretion and proliferation, and has been observed downregulated in diabetes-prone BB rat islets exposed to cytokines. In the present study, we identified and characterized promoter activity of a human 1498 bp sequence upstream the transcription start site. The promoter sequence showed subtle but significant regulation by glucose within the normo-physiological range. Glucose also led to changes in expression of secretagogin protein in INS-1e cells, but not in primary cells from non-diabetes-prone Wistar Furth rats. No effects of cytokines neither on promoter activity nor protein expression were observed. The promoter region was furthermore screened by direct sequencing, and 11 polymorphisms were identified. Genotyping in a large homogenous Type 1 diabetes (T1D) family collection did not reveal association with T1D.
|
|
| 28. |
- Sorensen, J. S., et al.
(författare)
-
Islet autoantibodies and residual beta cell function in type 1 diabetes children followed for 3-6 years
- 2012
-
Ingår i: Diabetes Research and Clinical Practice. - : Elsevier BV. - 1872-8227 .- 0168-8227. ; 96:2, s. 204-210
-
Tidskriftsartikel (refereegranskat)abstract
- Aims: To test if islet autoantibodies at diagnosis of type 1 diabetes (T1DM) and after 3-6 years with T1D predict residual beta-cell function (RBF) after 3-6 years with T1D. Methods: T1D children (n = 260, median age at diagnosis 9.4, range 0.9-14.7 years) were tested for GAD65, IA-2, ZnT8R, ZnT8W and ZnT8Q autoantibodies (A) at diagnosis, and 3-6 years after diagnosis when also fasting and stimulated RBF were determined. Results: For every 1-year increase in age at diagnosis of TID, the odds of detectable C-peptide increased 1.21 (1.09, 1.34) times for fasting C-peptide and 1.28 (1.15, 1.42) times for stimulated C-peptide. Based on a linear model for subjects with no change in IA-2A levels, the odds of detectable C-peptide were 35% higher than for subjects whose IA-2A levels decreased by half (OR = 1.35 (1.09, 1.67), p = 0.006); similarly for ZnT8WA (OR = 1.39 (1.09, 1.77), p = 0.008) and ZnT8QA (OR = 1.55 (1.06, 2.26) p = 0.024). Such relationship was not detected for GADA or ZnT8RA. All OR adjusted for confounders. Conclusions: Age at diagnosis with T1D was the major predictor of detectable C-peptide 3-6 years post-diagnosis. Decreases in IA-2A, and possibly ZnT8A, levels between diagnosis and post-diagnosis were associated with a reduction in RBF post-diagnosis. (C) 2012 Elsevier Ireland Ltd. All rights reserved.
|
|
| 29. |
|
|
| 30. |
- Teixeira, Pedro F., et al.
(författare)
-
Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data
- 2024
-
Ingår i: DIABETOLOGIA. - : SPRINGER. - 0012-186X .- 1432-0428.
-
Tidskriftsartikel (refereegranskat)abstract
- The type 1 diabetes community is coalescing around the benefits and advantages of early screening for disease risk. To be accepted by healthcare providers, regulatory authorities and payers, screening programmes need to show that the testing variables allow accurate risk prediction and that individualised risk-informed monitoring plans are established, as well as operational feasibility, cost-effectiveness and acceptance at population level. Artificial intelligence (AI) has the potential to contribute to solving these issues, starting with the identification and stratification of at-risk individuals. ASSET (AI for Sustainable Prevention of Autoimmunity in the Society; www.asset.healthcare) is a public/private consortium that was established to contribute to research around screening for type 1 diabetes and particularly to how AI can drive the implementation of a precision medicine approach to disease prevention. ASSET will additionally focus on issues pertaining to operational implementation of screening. The authors of this article, researchers and clinicians active in the field of type 1 diabetes, met in an open forum to independently debate key issues around screening for type 1 diabetes and to advise ASSET. The potential use of AI in the analysis of longitudinal data from observational cohort studies to inform the design of improved, more individualised screening programmes was also discussed. A key issue was whether AI would allow the research community and industry to capitalise on large publicly available data repositories to design screening programmes that allow the early detection of individuals at high risk and enable clinical evaluation of preventive therapies. Overall, AI has the potential to revolutionise type 1 diabetes screening, in particular to help identify individuals who are at increased risk of disease and aid in the design of appropriate follow-up plans. We hope that this initiative will stimulate further research on this very timely topic.
|
|
| 31. |
|
|
