Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0011854 (type 1 diabetes)
 20,749 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

As we have discussed previously (Horn et al. 1988a; Erlich et al. 1989b; Horn et al. 1988b), there are no unique class II sequences associated with IDDM, which suggests that "normal" class II alleles confer susceptibility. Given the estimates of concordance--under 50% of monozygotic twins and approximately 15% (Tattersol, Pyle 1972 and Thomson 1988) for HLA-identical sibs--, it is not surprising that some unaffected individuals contain putative susceptibility alleles. Perhaps some environmental "triggering" agent, such as viral infection (Yoon, this volume), is required for the disease to develop in susceptible individuals. Other non-MHC linked genes which contribute to susceptibility may account for the difference in concordance rates for monozygotic twins and for HLA-identical sibs. In the nonobese diabetic mouse and the BB rat models for IDDM, non-MHC susceptibility loci have been identified and mapped (Hattori et al. 1986; Colle et al. 1981), but in humans the analysis of non-MHC candidate loci (i.e., the T cell receptor) has thus far failed to reveal any other susceptibility loci. In general, the HLA-linked genetic susceptibility to IDDM, as well as to other autoimmune diseases, appears to be associated with specific combinations of class II epitopes (e.g., alleles, haplotypes, or genotypes) rather than with specific individual residues or epitopes. Understanding the role of these predisposing sequences will require structural analysis of the class II molecules as well as in vitro and in vivo functional studies of interactions with putative autoantigens and T cell receptors. In the meantime, DNA typing offers the potential for identifying individuals at high risk for IDDM.
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PMID:HLA class II polymorphism and genetic susceptibility to insulin-dependent diabetes mellitus. 212 92

The objective of this paper was to determine the effect of glycaemic control and endocrine functions on linear growth in children with IDDM. We studied 45 prepubertal children with IDDM (30 males, 15 females) over 1 year period. The mean +/- SD for age of onset and duration of IDDM were 6.2 +/- 2.3 years and 3.5 +/- 1.3 years, respectively. At each clinic visit (every 3 months), glycaemic control was assessed by measuring glycosylated haemoglobin (HbA1C). Growth hormone and cortisol responses to high dose clonidine (0.15 mg/m2) and ACTH, respectively, were evaluated and circulating concentrations of free thyroxine (FT4) and TSH estimated. The average insulin dose (unit/kg/day) during this period was calculated for each patient. Growth was assessed by determining both height standard deviation score (HtSDS) and growth velocity standard deviation scores (GVSDS) and bone age determined according to the atlas of Greulich and Pyle. Two-hundred-and-fifty age- and sex-matched normal children served as controls for growth data, and 20 normal age-matched children and 20 normal children with short stature (NVSS) served as controls for the hormonal studies. Growth velocity (GV) (cm/year) and GVSDS were significantly lower in children with IDDM compared to normal children, and significantly lower in children with poorly controlled diabetes compared to those with good glycaemic control. GV and GVSDS were inversely correlated to HbA1C (r = -0.356, P < 0.01 and r = 0.335, P < 0.01 respectively). GVSDS was correlated with serum IGF-I (r = 0.22, P < 0.01), FT4 (r = 0.321, P < 0.01) and inversely with basal GH (r = -0.362, P < 0.01) concentrations, but was not correlated with cortisol levels or peak GH concentrations in response to clonidine. GVSDS was correlated with HtSDS (r = 0.222, P < 0.01) and inversely with age (r = -0.43, P < 0.05). There was no significant correlation between GVSDS on the one hand and weight gain or body mass index (BMI) on the other hand. Peak GH response to clonidine was correlated with BMI (r = 0.68, P < 0.001) and insulin dose/kg/day (r = 0.602, P < 0.01). This study confirms that in children with IDDM linear growth velocity is dependent on the age of the child and the degree of glycaemic control, as well as on growth promoting hormones such as IGF-I and FT4. High BMI is associated with more GH secretion in response to clonidine, this might explain the higher requirements of insulin/kg in children with IDDM and high BMI.
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PMID:Growth parameters, growth hormone (GH) response to clonidine and circulating insulin-like growth factor-I (IGF-I), free thyroxine (FT4) and cortisol concentrations in relation to glycaemic control in children with insulin-dependent diabetes mellitus. 881 35

The present study aimed to assess the skeletal and dental ages of type 1 diabetes mellitus (T1DM) patients. Therefore, panoramic and hand-wrist radiographs of 82 patients, aged between 5 and 15 years, were collected and divided into case and control groups. The case group consisted of 41 panoramic and 41 hand-wrist radiographs of T1DM patients, whereas the control group consisted of 41 panoramic and 41 hand-wrist radiographs of patients without T1DM. Skeletal age was assessed according to the method of Greulich and Pyle (1999), whereas dental age was assessed according to the method of Nolla (1960). Chi-square tests revealed no statistically significant differences between skeletal and dental ages between the case and control groups (p > 0.05). However, in the case group, the skeletal age of females was greater than that of age-matched males (p = 0.005). Considering that skeletal and dental growth of the case and control groups were closely related, clinical interventions involving orthodontics and dentomaxillofacial orthopedics should be equally performed both for healthy and specific patient groups, such as those with T1DM.
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PMID:Assessment of skeletal and dental ages of children and adolescents with type 1 diabetes mellitus. 2562 89