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1.
J Pediatr Gastroenterol Nutr ; 52(5): 558-62, 2011 May.
Article in English | MEDLINE | ID: mdl-21502826

ABSTRACT

OBJECTIVES: Parietal cell antibodies (PCA) are markers of autoimmune gastritis (AG). AG can lead to hypergastrinemia and iron-deficiency anaemia (IDA). Compared to healthy controls, adults with type 1 diabetes mellitus (T1DM) show a higher prevalence of PCA (1% vs 20%). The aim of the present study was to evaluate the frequency of PCA in children and adolescents with T1DM compared to healthy controls and the clinical and biochemical markers. PATIENTS AND METHODS: We studied 170 patients (87 boys) with T1DM (mean age 12.9 years) and 101 healthy controls (49 boys; mean age 13.0 years). PCA, free T4, free T3, thyroid-stimulating hormone (TSH), and thyroid antibodies were measured in all of the patients. In addition, gastrin, pepsinogen I, iron, ferritin, vitamin B12, and folate were measured in patients with T1DM only. Gastroscopy was carried out in patients with T1DM having high (>100 U/mL) PCA levels. RESULTS: The frequency of PCA in patients with T1DM was 5.29% compared to 1.98% in healthy controls (not significant). PCA was strongly correlated to both thyroid peroxidase antibodies (TPOAb) and gastrin levels (P = 0.001). IDA was present in 4 of 9 patients from the PCA-positive group compared to 4 of 160 patients from the PCA-negative group. Hypergastrinemia was found in 2 PCA-positive patients. Histopathologically, 1 of 4 patients showed early symptoms of AG. CONCLUSIONS: Children and adolescents with T1DM have a lower frequency of PCA than is reported for adults. Compared to healthy controls, they seem to be at increased risk for developing PCA, in particular if positive for TPOAb, but overt clinical disease is rare in children with T1DM.


Subject(s)
Anemia, Iron-Deficiency/complications , Autoantibodies/blood , Diabetes Mellitus, Type 1/immunology , Gastrins/blood , Gastritis/immunology , Iodide Peroxidase/immunology , Parietal Cells, Gastric/immunology , Adolescent , Anemia, Iron-Deficiency/blood , Anemia, Iron-Deficiency/epidemiology , Biomarkers/blood , Diabetes Mellitus, Type 1/blood , Diabetes Mellitus, Type 1/pathology , Female , Gastritis/epidemiology , Gastritis/pathology , Humans , Iodide Peroxidase/blood , Male , Prevalence , Reference Values
2.
J Biotechnol ; 129(1): 162-70, 2007 Mar 30.
Article in English | MEDLINE | ID: mdl-17174002

ABSTRACT

Enzymes are becoming increasingly important tools for synthesizing and modifying fine and bulk chemicals. The availability of biocatalysts which fulfil the requirements of industrial processes is often limited. Recruiting suited enzymes from natural (e.g. metagenomes) and artificial (e.g. directed evolution) biodiversity is based on screening libraries of microbial clones expressing enzyme variants. However, exploring the complex diversity of such libraries needs efficient screening methods. Overcoming the "screening bottleneck" requires rapid high throughput technology allowing the analysis of a large diversity of different enzymes and applying different screening conditions. Facing these facts an efficient and cost effective method for high throughput screening of large enzyme libraries at the colony level was developed. Therefore, ordered high density micro-colony arrays were combined with optical sensor technology and automated image analysis. The system generally allows the simultaneous monitoring of enzyme activities reflected by up to 7000 micro-colonies spotted on a filter in the size of a micro-titer plate. A developed replica option also allows the analysis of clones under varying external conditions. The method was verified by a model screening using esterases and was proved to provide reliable enzyme activity measurements within single micro-colonies allowing the discrimination of activity differences in the range of 10-20%.


Subject(s)
Enzymes/genetics , Enzymes/metabolism , Escherichia coli/cytology , Escherichia coli/metabolism , Protein Engineering , Calibration , Esterases/genetics , Esterases/metabolism , Mutant Proteins/metabolism , Reproducibility of Results
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