| 1. |
|
|
| 2. |
|
|
| 3. |
|
|
| 4. |
- Farzan, N, et al.
(författare)
-
Rationale and design of the multiethnic Pharmacogenomics in Childhood Asthma consortium
- 2017
-
Ingår i: Pharmacogenomics. - : Future Medicine Ltd. - 1744-8042 .- 1462-2416. ; 18:10, s. 931-943
-
Tidskriftsartikel (refereegranskat)abstract
- Aim: International collaboration is needed to enable large-scale pharmacogenomics studies in childhood asthma. Here, we describe the design of the Pharmacogenomics in Childhood Asthma (PiCA) consortium. Materials & methods: Investigators of each study participating in PiCA provided data on the study characteristics by answering an online questionnaire. Results: A total of 21 studies, including 14,227 children/young persons (58% male), from 12 different countries are currently enrolled in the PiCA consortium. Fifty six percent of the patients are Caucasians. In total, 7619 were inhaled corticosteroid users. Among patients from 13 studies with available data on asthma exacerbations, a third reported exacerbations despite inhaled corticosteroid use. In the future pharmacogenomics studies within the consortium, the pharmacogenomics analyses will be performed separately in each center and the results will be meta-analyzed. Conclusion: PiCA is a valuable platform to perform pharmacogenetics studies within a multiethnic pediatric asthma population.
|
|
| 5. |
- Duong, Janna K., et al.
(författare)
-
The variability in beta-cell function in placebo-treated subjects with type 2 diabetes : application of the weight-HbA1c-insulin-glucose (WHIG) model
- 2017
-
Ingår i: British Journal of Clinical Pharmacology. - : WILEY-BLACKWELL. - 0306-5251 .- 1365-2125. ; 83:3, s. 487-497
-
Tidskriftsartikel (refereegranskat)abstract
- AIM The weight-glycosylated haemoglobin (HbA1C)-insulin-glucose (WHIG) model describes the effects of changes in weight on insulin sensitivity (IS) in newly diagnosed, obese subjects receiving placebo treatment. Thismodel was applied to a wider population of placebo-treated subjects, to investigate factors influencing the variability in IS and beta-cell function. METHODS The WHIG model was applied to the WHIG dataset (Study 1) and two other placebo datasets (Studies 2 and 3). Studies 2 and 3 consisted of nonobese subjects and subjects with advanced type 2 diabetes mellitus (T2DM). Body weight, fasting serum insulin (FSI), fasting plasma glucose (FPG) and HbA1c were used for nonlinear mixed-effects modelling (using NONMEM v7.2 software). Sources of interstudy variability (ISV) and potential covariates (age, gender, diabetes duration, ethnicity, compliance) were investigated. RESULTS An ISV for baseline parameters (body weight and beta-cell function) was required. The baseline beta-cell function was significantly lower in subjects with advanced T2DM (median difference: Study 2: 15.6%, P < 0.001; Study 3: 22.7%, P < 0.001) than in subjects with newly diagnosed T2DM (Study 1). A reduction in the estimated insulin secretory response in subjects with advanced T2DM was observed but diabetes duration was not a significant covariate. CONCLUSION The WHIG model can be used to describe the changes in weight, IS and beta-cell function in the diabetic population. IS remained relatively stable between subjects but a large ISV in beta-cell function was observed. There was a trend towards decreasing beta-cell responsiveness with diabetes duration, and further studies, incorporating subjects with a longer history of diabetes, are required.
|
|
| 6. |
|
|
