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1.
Appl Environ Microbiol ; 79(15): 4551-63, 2013 Aug.
Article in English | MEDLINE | ID: mdl-23686272

ABSTRACT

The functional detection of novel enzymes other than hydrolases from metagenomes is limited since only a very few reliable screening procedures are available that allow the rapid screening of large clone libraries. For the discovery of flavonoid-modifying enzymes in genome and metagenome clone libraries, we have developed a new screening system based on high-performance thin-layer chromatography (HPTLC). This metagenome extract thin-layer chromatography analysis (META) allows the rapid detection of glycosyltransferase (GT) and also other flavonoid-modifying activities. The developed screening method is highly sensitive, and an amount of 4 ng of modified flavonoid molecules can be detected. This novel technology was validated against a control library of 1,920 fosmid clones generated from a single Bacillus cereus isolate and then used to analyze more than 38,000 clones derived from two different metagenomic preparations. Thereby we identified two novel UDP glycosyltransferase (UGT) genes. The metagenome-derived gtfC gene encoded a 52-kDa protein, and the deduced amino acid sequence was weakly similar to sequences of putative UGTs from Fibrisoma and Dyadobacter. GtfC mediated the transfer of different hexose moieties and exhibited high activities on flavones, flavonols, flavanones, and stilbenes and also accepted isoflavones and chalcones. From the control library we identified a novel macroside glycosyltransferase (MGT) with a calculated molecular mass of 46 kDa. The deduced amino acid sequence was highly similar to sequences of MGTs from Bacillus thuringiensis. Recombinant MgtB transferred the sugar residue from UDP-glucose effectively to flavones, flavonols, isoflavones, and flavanones. Moreover, MgtB exhibited high activity on larger flavonoid molecules such as tiliroside.


Subject(s)
Bacteria/genetics , Chromatography, Thin Layer/methods , DNA, Bacterial/genetics , Flavonoids/metabolism , Genome, Bacterial , Amino Acid Sequence , Bacteria/metabolism , Cloning, Molecular , DNA, Bacterial/metabolism , Genomic Library , Metagenome , Molecular Sequence Data , Polymerase Chain Reaction , Sequence Alignment , Sequence Analysis, DNA
2.
Am J Transplant ; 9(12): 2777-84, 2009 Dec.
Article in English | MEDLINE | ID: mdl-19845589

ABSTRACT

Aim of this study was to investigate the mechanism/s associating hepatitis C virus (HCV) infection and posttransplant diabetes mellitus in kidney recipients. Twenty HCV-positive and 22 HCV-negative kidney recipients, 14 HCV-positive nontransplant patients and 24 HCV-negative nontransplant (healthy) subjects were analyzed. A 3-h intravenous glucose tolerance test was performed; peripheral insulin sensitivity was assessed by minimal modeling. Pancreatic insulin secretion, hepatic insulin uptake, pancreatic antibodies and proinflammatory cytokines in serum (tumor necrosis factor-alpha, intereukin-6, high-sensitive C-reactive protein) were also assessed. HCV-positive recipients showed a significantly lower insulin sensitivity as compared to HCV-negative recipients (3.0 +/- 2.1 vs. 4.9 +/- 3.0 min(-1).microU.mL(- 1).10(4), p = 0.02), however, insulin secretion and hepatic insulin uptake were not significantly different. Pancreatic antibodies were negative in all. HCV status was an independent predictor of impaired insulin sensitivity (multivariate analysis, p = 0.008). The decrease of insulin sensitivity due to HCV was comparable for transplant and non-transplant subjects. No significant correlation was found between any of the cytokines and insulin sensitivity. Our results suggest that impaired peripheral insulin sensitivity is associated with HCV infection irrespective of the transplant status, and is the most likely pathogenic mechanism involved in the development of type 2 diabetes mellitus associated with HCV infection.


Subject(s)
Diabetes Mellitus, Type 2/etiology , Hepatitis C, Chronic/complications , Insulin Resistance , Kidney Transplantation/physiology , Adult , Cross-Sectional Studies , Female , Glucose Tolerance Test , Humans , Insulin/metabolism , Insulin Secretion , Male , Middle Aged
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