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- Gillespie, KM, et al.
(author)
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Is puberty an accelerator of type 1 diabetes in IL6-174CC females?
- 2005
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In: Diabetes. - : American Diabetes Association. - 0012-1797 .- 1939-327X. ; 54:4, s. 1245-1248
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Journal article (peer-reviewed)abstract
- The pubertal peak in onset of type 1 diabetes occurs earlier in girls than boys. We postulated that this sex difference might be mediated in part by estrogen or by genes regulated by estrogen, such as the interleukin-6 (IL6) gene. Previous studies concerning the role of an estrogen-sensitive single nucleotide polymorphism (SNP) in the IL6 promoter in type 1 diabetes have proved contradictory. We therefore selected a large, genetically homogenous population-based cohort, analyzed by age at onset and sex, to test the hypothesis that the IL6-174G>C SNP affects age at onset of type 1 diabetes in females but not in males. We found that the IL6-174CC genotype was significantly less frequent in females diagnosed after than in those diagnosed before the age of 10 years (19 vs. 13%, P = 0.016). No genotype difference was observed in males stratified for age at onset. Among children diagnosed after age 10, the median age of onset was 11.9 years (intraquartile range 10.7–14.6) in 34 girls homozygous for IL6-174C compared with 13.2 years (11.6–15.4) in 229 girls with other genotypes and 13.5 years (12.0–15.6) in 339 males with any IL6-174 genotype (P = 0.012). These data support the hypothesis that pubertal changes may contribute to accelerated onset of type 1 diabetes in genetically susceptible females. This phenomenon may be orchestrated by the action of estrogen on the IL6 promoter.
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- Patterson, Cc, et al.
(author)
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Seasonal variation in month of diagnosis in children with type 1 diabetes registered in 23 European centers during 1989-2008 : little short-term influence of sunshine hours or average temperature
- 2015
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In: Pediatric Diabetes. - : Wiley-Blackwell. - 1399-543X .- 1399-5448. ; 16:8, s. 573-580
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Journal article (peer-reviewed)abstract
- BACKGROUND: The month of diagnosis in childhood type 1 diabetes shows seasonal variation.OBJECTIVE: We describe the pattern and investigate if year-to-year irregularities are associated with meteorological factors using data from 50 000 children diagnosed under the age of 15 yr in 23 population-based European registries during 1989-2008.METHODS: Tests for seasonal variation in monthly counts aggregated over the 20 yr period were performed. Time series regression was used to investigate if sunshine hour and average temperature data were predictive of the 240 monthly diagnosis counts after taking account of seasonality and long term trends.RESULTS: Significant sinusoidal pattern was evident in all but two small centers with peaks in November to February and relative amplitudes ranging from ±11 to ±38% (median ±17%). However, most centers showed significant departures from a sinusoidal pattern. Pooling results over centers, there was significant seasonal variation in each age-group at diagnosis, with least seasonal variation in those under 5 yr. Boys showed greater seasonal variation than girls, particularly those aged 10-14 yr. There were no differences in seasonal pattern between four 5-yr sub-periods. Departures from the sinusoidal trend in monthly diagnoses in the period were significantly associated with deviations from the norm in average temperature (0.8% reduction in diagnoses per 1 °C excess) but not with sunshine hours.CONCLUSIONS: Seasonality was consistently apparent throughout the period in all age-groups and both sexes, but girls and the under 5 s showed less marked variation. Neither sunshine hour nor average temperature data contributed in any substantial way to explaining departures from the sinusoidal pattern.
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