In vitro stimulation of insulin release by non-metabolizable, transport-specific amino acids

The insulin-releasing ability and uptake characteristics of non-metabolizable, transport-specific amino acids were studied in an in vitro system, using microdissected pancreatic islets with more than 90% [beta]-cells.Among the four stereoisomers of 2-aminobicyclo(2,2,1)heptane-2-carboxylic acid (BCH), only the b(-) form stimulated insulin release. This isomer is known as a specific substrate for transport system in other cells. It was rapidly taken up by the islet cells and stimulated insulin release both in the presence and in the absence of glucose.4-Amino-1-guanylpiperidine-4-carboxylic acid (GPA), a substrate for cationic transport systems, stimulated insulin release in the presence but not in the absence of glucose. In this respect GPA is similar to arginine. Like arginine, GPA also accumulated in the islet cells to yield distribution ratios well above unity.The results are consonant with the previous hypothesis that amino acids stimulate insulin release by binding to specific transport molecules.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/33579/1/0000082.pd

GAD2 on chromosome 10p12 is a candidate gene for human obesity

The gene GAD2 encoding the glutamic acid decarboxylase enzyme (GAD65) is a positional candidate gene for obesity on Chromosome 10p11&ndash;12, a susceptibility locus for morbid obesity in four independent ethnic populations. GAD65 catalyzes the formation of &gamma;-aminobutyric acid (GABA), which interacts with neuropeptide Y in the paraventricular nucleus to contribute to stimulate food intake. A case-control study (575 morbidly obese and 646 control subjects) analyzing GAD2 variants identified both a protective haplotype, including the most frequent alleles of single nucleotide polymorphisms (SNPs) +61450 C&gt;A and +83897 T&gt;A (OR = 0.81, 95% CI [0.681&ndash;0.972], p = 0.0049) and an at-risk SNP (&minus;243 A&gt;G) for morbid obesity (OR = 1.3, 95% CI [1.053&ndash;1.585], p = 0.014). Furthermore, familial-based analyses confirmed the association with the obesity of SNP +61450 C&gt;A and +83897 T&gt;A haplotype (&chi;2 = 7.637, p = 0.02). In the murine insulinoma cell line &beta;TC3, the G at-risk allele of SNP &minus;243 A&gt;G increased six times GAD2 promoter activity (p &lt; 0.0001) and induced a 6-fold higher affinity for nuclear extracts. The &minus;243 A&gt;G SNP was associated with higher hunger scores (p = 0.007) and disinhibition scores (p = 0.028), as assessed by the Stunkard Three-Factor Eating Questionnaire. As GAD2 is highly expressed in pancreatic &beta; cells, we analyzed GAD65 antibody level as a marker of &beta;-cell activity and of insulin secretion. In the control group, &minus;243 A&gt;G, +61450 C&gt;A, and +83897 T&gt;A SNPs were associated with lower GAD65 autoantibody levels (p values of 0.003, 0.047, and 0.006, respectively). SNP +83897 T&gt;A was associated with lower fasting insulin and insulin secretion, as assessed by the HOMA-B% homeostasis model of &beta;-cell function (p = 0.009 and 0.01, respectively). These data support the hypothesis of the orexigenic effect of GABA in humans and of a contribution of genes involved in GABA metabolism in the modulation of food intake and in the development of morbid obesity.<br /

A method for reporting and classifying acute infectious diseases in a prospective study of young children : TEDDY

M. Knip työryhmän TEDDY Study Grp jäsen.Background: Early childhood environmental exposures, possibly infections, may be responsible for triggering islet autoimmunity and progression to type 1 diabetes (T1D). The Environmental Determinants of Diabetes in the Young (TEDDY) follows children with increased HLA-related genetic risk for future T1D. TEDDY asks parents to prospectively record the child's infections using a diary book. The present paper shows how these large amounts of partially structured data were reduced into quantitative data-sets and further categorized into system-specific infectious disease episodes. The numbers and frequencies of acute infections and infectious episodes are shown. Methods: Study subjects (n = 3463) included children who had attended study visits every three months from age 3 months to 4 years, without missing two or more consecutive visits during the follow-up. Parents recorded illnesses prospectively in a TEDDY Book at home. The data were entered into the study database during study visits using ICD-10 codes by a research nurse. TEDDY investigators grouped ICD-10 codes and fever reports into infectious disease entities and further arranged them into four main categories of infectious episodes: respiratory, gastrointestinal, other, and unknown febrile episodes. Incidence rate of infections was modeled as function of gender, HLA-DQ genetic risk group and study center using the Poisson regression. Results: A total of 113,884 ICD-10 code reports for infectious diseases recorded in the database were reduced to 71,578 infectious episodes, including 74.0% respiratory, 13.1% gastrointestinal, 5.7% other infectious episodes and 7.2% febrile episodes. Respiratory and gastrointestinal infectious episodes were more frequent during winter. Infectious episode rates peaked at 6 months and began declining after 18 months of age. The overall infectious episode rate was 5.2 episodes per person-year and varied significantly by country of residence, sex and HLA genotype. Conclusions: The data reduction and categorization process developed by TEDDY enables analysis of single infectious agents as well as larger arrays of infectious agents or clinical disease entities. The preliminary descriptive analyses of the incidence of infections among TEDDY participants younger than 4 years fits well with general knowledge of infectious disease epidemiology. This protocol can be used as a template in forthcoming time-dependent TEDDY analyses and in other epidemiological studies.Peer reviewe

Metabolite-related dietary patterns and the development of islet autoimmunity

The role of diet in type 1 diabetes development is poorly understood. Metabolites, which reflect dietary response, may help elucidate this role. We explored metabolomics and lipidomics differences between 352 cases of islet autoimmunity (IA) and controls in the TEDDY (The Environmental Determinants of Diabetes in theYoung) study. We created dietary patterns reflecting pre-IA metabolite differences between groups and examined their association with IA. Secondary outcomes included IA cases positive for multiple autoantibodies (mAb+). The association of 853 plasma metabolites with outcomes was tested at seroconversion to IA, just prior to seroconversion, and during infancy. Key compounds in enriched metabolite sets were used to create dietary patterns reflecting metabolite composition, which were then tested for association with outcomes in the nested case-control subset and the full TEDDY cohort. Unsaturated phosphatidylcholines, sphingomyelins, phosphatidylethanolamines, glucosylceramides, and phospholipid ethers in infancy were inversely associated with mAb+ risk, while dicarboxylic acids were associated with an increased risk. An infancy dietary pattern representing higher levels of unsaturated phosphatidylcholines and phospholipid ethers, and lower sphingomyelins was protective for mAb+ in the nested case-control study only. Characterization of this high-risk infant metabolomics profile may help shape the future of early diagnosis or prevention efforts

What is new in type 1 diabetes? [Video file]

Topics Covered - Genetic etiology- Autoantibodies as biomarkers- Autoantibodies predict clinical onset of diabetes- TEDDY study- DIPP study- Etiology and pathogenesis of type 1 diabetes- IAA-first or GADA-firs