Hvidoere Smiley Faces: International diabetes quality of life assessment tool for young children.

BACKGROUND: Few diabetes-specific quality of life (QOL) tools are available for young children. OBJECTIVES: To design and evaluate, a new age-specific QOL questionnaire and its associations with treatment regimens and metabolic control. METHODS: Clinical, demographic data and centrally analyzed HbA1c were collected on 1133 children <11 years (girls 48%; mean ± SD age 8.0 ± 2.1 years; diabetes duration ≥1 year) from 18 centers (Europe, Japan, North America and Australia). Children completed the 10-item Smiley Faces QOL questionnaire constructed for the study, and children ≥7 years also completed the KIDSCREEN-10 Index. RESULTS: In total, 1035 children completed the new Smiley Faces questionnaire which was well understood by 993 (70% ≥4 years and 96% ≥5 years, respectively). Internal consistency and reliability were good (Cronbach's α = .73). Inter-item correlation ranged r = 0.047 to 0.451 indicating each item measures separate aspects of children's satisfaction construct. Convergent validity assessed by comparison to the HrQOL KIDSCREEN-10 Index showed moderate correlation coefficient 0.501. Factor analysis revealed 3 factors explaining 51% of the variance. Children reported good QOL with most items positive, mean values between 1 and 2 on a 5-point scale (lower scores indicating greater QOL). Diabetes satisfaction was unrelated to age, diabetes duration, HbA1c, or severe hypoglycemia. Girls were more satisfied than boys. Children on intensive regimens reported better QOL (P < .02). Main dissatisfaction related to insulin injections and blood sugar testing. CONCLUSIONS: The Smiley Faces questionnaire enables QOL assessment in young children and identification of areas of dissatisfaction and other clinically relevant items relating to diabetes management.

Modifications of the homeostasis model assessment of insulin resistance index with age.

The aim of the study was to analyze the association between aging and insulin resistance estimated by the homeostasis model assessment of insulin resistance (HOMA-IR). This work involved two studies: (1) the Di@bet.es study is a cross-sectional study including 4,948 subjects, comprising a representative sample of the adult Spanish population; (2) the Pizarra study is a population-based cohort study undertaken in Pizarra (Spain), in which 1,051 subjects were evaluated at baseline and 714 completed the 6-year follow-up study. Study variables included a clinical and demographic structured survey, a lifestyle survey, a physical examination, and an oral glucose tolerance test in subjects without diabetes. In the Di@bet.es study overall, an increase occurred in blood glucose until the age of 50, after which it remained stable (data adjusted for gender, body mass index, abnormal glucose regulation [AGR]). The HOMA-IR increased significantly with age (p = 0.01), due to a higher prevalence of obesity (p < 0.0001) and AGR (p < 0.001). In non-obese subjects without AGR, HOMA-IR values were not modified with age (p = 0.30), but they were with body mass index (p < 0.001). In the Pizarra study, the HOMA-IR was significantly lower after 6-year follow-up in the whole study population. Subjects with a HOMA-IR level higher than the 75th percentile at baseline were more likely to develop diabetes (OR 2.2, 95 % CI 1.2-3.9; p = 0.007) than subjects with a lower HOMA-IR. We concluded that age per se did not increase HOMA-IR levels, changes that might be related to higher rates of obesity and AGR in older subjects. The HOMA-IR was associated with an increased risk of developing type 2 diabetes 6 years later.

Highly sensitive diagnosis of 43 monogenic forms of diabetes or obesity through one-step PCR-based enrichment in combination with next-generation sequencing.

OBJECTIVE: Accurate etiological diagnosis of monogenic forms of diabetes and obesity is useful as it can lead to marked improvements in patient care and genetic counseling. Currently, molecular diagnosis based on Sanger sequencing is restricted to only a few genes, as this technology is expensive, time-consuming, and labor-intensive. High-throughput next-generation sequencing (NGS) provides an opportunity to develop innovative cost-efficient methods for sensitive diabetes and obesity multigene screening. RESEARCH DESIGN AND METHODS: We assessed a new method based on PCR enrichment in microdroplets (RainDance Technologies) and NGS using the Illumina HiSeq2000 for the molecular diagnosis of 43 forms of monogenic diabetes or obesity. Forty patients carrying a known causal mutation for those subtypes according to diagnostic laboratories were blindly reanalyzed. RESULTS: Except for one variant, we reidentified all causal mutations in each patient associated with an almost-perfect sequencing of the targets (mean of 98.6%). We failed to call one highly complex indel, although we identified a dramatic drop of coverage at this locus. In three patients, we detected other mutations with a putatively deleterious effect in addition to those reported by the genetic diagnostic laboratories. CONCLUSIONS: Our NGS approach provides an efficient means of highly sensitive screening for mutations in genes associated with monogenic forms of diabetes and obesity. As cost and time to deliver results have been key barriers to uncovering a molecular cause in the many undiagnosed cases likely to exist, the present methodology should be considered in patients displaying features of monogenic diabetes or obesity.

Association between vitamin D and Apo B concentrations in Argentinean Indian children.

OBJECTIVE: The objective of the study was to determine the prevalence of vitamin D insufficiency and its association with non-traditional cardiovascular disease (CVD) risk factors such as Apo B in South American Indian school children. METHODS: A cross-sectional study of 355 children (166 Males) aged 9.6±2.3 y was performed. Anthropometric measures, glucose, lipids, insulin, Apo B, Apo A, and vitamin D concentrations were measured. RESULTS: The prevalence of overweight and obesity was 10.7% (38) per CDC. One child (0.3%) had optimal vitamin D concentrations [25(OH)D[>30 ng/ml. Univariate analysis showed significant associations between vitamin D and HDL-C (r=0.12 p<0.05), age (r=-0.11 p<0.05) BMI (r=-0.22 p<0.05), LDL-C (r=-0.22 p<0.01), triglycerides (r=-0.16 p<0.01), non HDL-C (r=-0.21 p<0.01), Apo B (r=-0.23 p<0.01), Apo B/Apo A (r=-0.21 p<0.01), insulin (r=-0.17 p<0.05), and HOMA-IR (r=-0.16 p<0.05). Multiple linear regression analysis showed that female gender and Apo B were significantly associated with vitamin D adjusted for confounding factors (R(2) 0.12). CONCLUSION: Vitamin D deficiency was associated with increased Apo B among Indian children, suggesting that it could be used as a risk marker of CVD.

Immunoglobulin G autoantibodies against tissue-transglutaminase. A sensitive, cost-effective assay for the screening of celiac disease.

The characterization of target antigens in several autoimmune disorders has made it possible to develop antigen-specific immunoassays that are superior in terms of sensitivity, specificity, reproducibility and ease of standardization, compared to immunohistological methods that are highly subjective, rely on skilled technicians and are not applicable to large-scale studies. In the case of celiac disease (CD), tissue transglutaminase (tTGase) has been identified as a major autoantigen, and antibodies against this molecule are present in most CD patients before gluten is removed from diet. In general, anti-tTGase detection assays detect the presence of IgA class antibodies, but these immunoglobulins are absent among patients with IgA deficiency, a frequent condition in which CD is very prevalent. In this report, we have analyzed 64 patients at diagnosis of CD for the presence of antibodies against tTGase of both IgA (TGA) and IgG (TGG) classes, using anti-IgA antibodies or Protein A, respectively, for the immunoprecipitation of 35S labeled, in vitro transcribed and translated human recombinant tTGase. In our hands, the TGG assay matches TGA in terms of sensitivity (97%) and specificity (100%), and besides, the combination of both assays is able to detect antibodies in all patient samples. The method described uses only 6 microl of serum, can be adapted to automated large-scale analysis and, in combination with other antigens, can be used for the simultaneous screening of other autoimmune diseases, like type 1 diabetes mellitus.