Apparent increases in phospholipid degradation and turnover during combined treatment with protein synthesis inhibitors and adrenocorticotropin

Inhibitors of protein synthesis, cycloheximide and puromycin, blocked ACTH (adrenocorticotropin)-induced increases in phospholipid mass, including phosphatidylinositol, but paradoxically increase 32P-labelling (but not [3H]glycerol-labelling) therein. Cycloheximide also provoked an initial rapid decrease in 32P-prelabelled phospholipids, followed by an increase in [32P]Pi incorporation. These effects of cycloheximide and puromycin occurred in ACTH-treated (but not in control) cells. It appears that inhibition of protein synthesis during ACTH action provokes an increase in phospholipid degradation, followed by partial resynthesis of the phospholipid head groups.     

Effect of exogeneous methyl oleate on the time course of some parameters of Streptomyces hygroscopicus NRRL B-1865 culture

Addition of methyl oleate to a Streptomyces hygroscopicus NRRL B-1865 culture modified the metabolic properties of this strain. This addition decreased the pH of the medium, increased the valine uptake of the cells and reduced their consumption of glucose until the beginning of antibiotic biosynthesis, which was delayed. At the same time, an increase in growth (× 1.8) and a marked improvement in antibiotic production (× 20) could be observed. The use of labelled methyl oleate showed that methyl oleate was not a precursor of antibiotics produced by S. hygroscopicus NRRL B-1865. It is suggested that methyl oleate addition may cause some alteration in membrane permeability, inducing an increase in H⁺ extrusion and stimulating the accumulation of branched amino acids, known to be direct precursors of polyether antibiotics. Correspondence to: L. David     

Enzymatic labeling of nucleic acids

Enzymatic labeling of nucleic acids is a fundamental tool in molecular biology with virtually every aspect of nucleic acid hybridization technique involving the use of labeled probes. Different methods for enzymatic labeling of DNA, RNA and oligonucleotide probes are available today. In this review, we will describe both radioactive and nonradioactive labeling methods, yet the choice of system for labeling the probe depends on the application under study.     

Polyphosphorylated glycerolipids mimic adrenocorticotropin-induced stimulation of mitochondrial pregnenolone-synthesis.

As with adrenocorticotropin pretreatment in vivo, addition of cardiolipin in vitro enhances adrenal mitochondrial pregnenolone synthesis and apparent binding of cholesterol to cytochrome P-450scc. These effects are relatively specific for glycerolipids containing two or more phosphate radicals in the polar head group, and changes in such phospholipids or comparably acting substances may play a role in mediating adrenocorticotropin- or other hormone-induced effects on membrane-associated enzymes.     

Analysis of prevalence, risk factors and molecular epidemiology of Clostridium difficile infection in Kuwait over a 3-year period

We conducted a prospective study to evaluate the prevalence and epidemiology of CDI in Kuwait government hospitals over a 3-year period, January 2003 to December 2005, to determine the ribotypes responsible for CDI and to estimate the prevalence of ribotype 027. We also conducted a case-control study to identify the risk factors in our patient population. A total of 697 stool samples from patients with suspected CDI were obtained and sent to Anaerobe Reference Laboratory, Faculty of Medicine, Kuwait University for Clostridium difficile toxin detection, culture and PCR ribotyping. During the period, 73 (10.5%) out of 697 patients met the case definition of CDI. Of these, 56 (76.7%) were hospital-acquired and 17 (23.3%) were from outpatient clinics. Thus, the prevalence of hospital-acquired CDI amongst patients with diarrhoea was 8% over the study period; the prevalence in 2003, 2004 and 2005 was 9.7%, 7.8% and 7.2%, respectively. Our data showed that 42.9% of the CDI patients were above 60 years, of which >79% were aged 71 years and above. Patients with CDI were more likely than the controls to have been exposed to immunosuppressive drugs and feeding via nasogastric tube. The most common ribotypes isolated during this study were 002, 001, 126 and 140 and they represent 55.1% of all isolates. PCR ribotype 027 was not isolated.     

Plasmodium berghei leucine-rich repeat protein 1 downregulates protein phosphatase 1 activity and is required for efficient oocyst development

Protein phosphatase 1 (PP1) is a key enzyme for Plasmodium development. However, the detailed mechanisms underlying its regulation remain to be deciphered. Here, we report the functional characterization of the Plasmodium berghei leucine-rich repeat protein 1 (PbLRR1), an orthologue of SDS22, one of the most ancient and conserved PP1 interactors. Our study shows that PbLRR1 is expressed during intra-erythrocytic development of the parasite, and up to the zygote stage in mosquitoes. PbLRR1 can be found in complex with PbPP1 in both asexual and sexual stages and inhibits its phosphatase activity. Genetic analysis demonstrates that PbLRR1 depletion adversely affects the development of oocysts. PbLRR1 interactome analysis associated with phospho-proteomics studies identifies several novel putative PbLRR1/PbPP1 partners. Some of these partners have previously been characterized as essential for the parasite sexual development. Interestingly, and for the first time, Inhibitor 3 (I3), a well-known and direct interactant of Plasmodium PP1, was found to be drastically hypophosphorylated in PbLRR1-depleted parasites. These data, along with the detection of I3 with PP1 in the LRR1 interactome, strongly suggest that the phosphorylation status of PbI3 is under the control of the PP1–LRR1 complex and could contribute (in)directly to oocyst development. This study provides new insights into previously unrecognized PbPP1 fine regulation of Plasmodium oocyst development through its interaction with PbLRR1.     

Acetophenone and stilbene derivatives from Gnetum ula

The isolation of bergenin, 2-hydroxy-4-benzyloxyacetophenone and the related dimer and stilbene from Gnetum ula is reported.     

Sequential Application of Ligand and Structure Based Modeling Approaches to Index Chemicals for Their hH4R Antagonism

The human histamine H₄ receptor (hH₄R), a member of the G-protein coupled receptors (GPCR) family, is an increasingly attractive drug target. It plays a key role in many cell pathways and many hH₄R ligands are studied for the treatment of several inflammatory, allergic and autoimmune disorders, as well as for analgesic activity. Due to the challenging difficulties in the experimental elucidation of hH₄R structure, virtual screening campaigns are normally run on homology based models. However, a wealth of information about the chemical properties of GPCR ligands has also accumulated over the last few years and an appropriate combination of these ligand-based knowledge with structure-based molecular modeling studies emerges as a promising strategy for computer-assisted drug design. Here, two chemoinformatics techniques, the Intelligent Learning Engine (ILE) and Iterative Stochastic Elimination (ISE) approach, were used to index chemicals for their hH₄R bioactivity. An application of the prediction model on external test set composed of more than 160 hH₄R antagonists picked from the chEMBL database gave enrichment factor of 16.4. A virtual high throughput screening on ZINC database was carried out, picking ∼4000 chemicals highly indexed as H₄R antagonists'' candidates. Next, a series of 3D models of hH₄R were generated by molecular modeling and molecular dynamics simulations performed in fully atomistic lipid membranes. The efficacy of the hH₄R 3D models in discrimination between actives and non-actives were checked and the 3D model with the best performance was chosen for further docking studies performed on the focused library. The output of these docking studies was a consensus library of 11 highly active scored drug candidates. Our findings suggest that a sequential combination of ligand-based chemoinformatics approaches with structure-based ones has the potential to improve the success rate in discovering new biologically active GPCR drugs and increase the enrichment factors in a synergistic manner.