Mannich reaction: an approach for the synthesis of water soluble mulundocandin analogues

Semisynthetic modifications at Hydroxy tyrosine (Htyr) unit of mulundocandin (1) were carried out to improve its aqueous solubility. A single step introduction of substituted aminomethyl groups at the ortho position(s) of phenolic hydroxyl of HTyr unit of mulundocandin has been achieved in 7-85% yield. The in vitro screening of Mannich products against Candida albicans and Aspergillus fumigatus, retained the in vivo activity of parent by oral and intraperitoneal route. Compound 20, showed significant improvement in activity over mulundocandin (1) and activity compares well with that of fluconazole.     

Biodiversity and biogeography pattern of benthic communities in the coastal basins of India

Our understanding of coastal biogeography patterns is presently limited to certain regions and marine groups. Comprehending large-scale patterns and their underlying predictors is critical due to the changing environmental conditions. The Indian coast, bounded by two contrasting seas, the Bay of Bengal and Arabian Sea, offers an excellent opportunity to determine the most important factors influencing coastal biogeography patterns. Here we use distribution data of 2581 species belonging to three benthic groups (polychaetes, gastropods and bivalves) to evaluate the role of environmental factors and coastal currents on the biogeography patterns. Data were obtained from the bioSearch database, developed by CSIR-NIO, Goa under the Census of Marine Life programme. As measures of diversity, we used species richness as well as taxonomic distinctiveness indices. Multivariate analyses were used in identifying biodiversity patterns and correlated biogeography patterns with environmental factors. This paper points out a clear difference between the eastern and western basins of India, but also within the basins. Mainland and island fauna also showed a clear distinction. The biogeography of the Indian coast is best explained by temperature, habitat heterogeneity and coastline length. Spatiotemporal variability in the boundary currents also forms an effective barrier for the dispersal of planktonic larvae of benthic fauna. This study has identified a finer scale division of the Indian coast that can help to effectively improve conservation plans. Our study is the first to attempt to understand the benthic biogeography patterns of the Indian coast. The findings will be useful in guiding future biogeography studies of this unique and underexplored marine system.     

The immune modulator FTY720 inhibits sphingosine-1-phosphate lyase activity

FTY720 is a novel immunomodulatory agent that inhibits lymphocyte trafficking and prevents allograft rejection. FTY720 is phosphorylated in vivo, and the phosphorylated drug acts as agonist for a family of G protein-coupled receptors that recognize sphingosine 1-phosphate. Evidence suggests that FTY720-phosphate-induced activation of S1P1 is responsible for its mechanism of action. FTY720 was rationally designed by modification of myriocin, a naturally occurring sphingoid base analog that causes immunosuppression by interrupting sphingolipid metabolism. In this study, we examined interactions between FTY720, FTY720-phosphate, and sphingosine-1-phosphate lyase, the enzyme responsible for irreversible sphingosine 1-phosphate degradation. FTY720-phosphate was stable in the presence of active sphingosine-1-phosphate lyase, demonstrating that the lyase does not contribute to FTY720 catabolism. Conversely, FTY720 inhibited sphingosine-1-phosphate lyase activity in vitro. Treatment of mice with FTY720 inhibited tissue sphingosine-1-phosphate lyase activity within 12 h, whereas lyase gene and protein expression were not significantly affected. Tissue sphingosine 1-phosphate levels remained stable or increased throughout treatment. These studies raise the possibility that disruption of sphingosine 1-phosphate metabolism may account for some effects of FTY720 on immune function and that sphingosine-1-phosphate lyase may be a potential target for immunomodulatory therapy.     

<Emphasis Type="Italic">Arabidopsis rd29A::DREB1A</Emphasis> enhances freezing tolerance in transgenic potato

The freezing tolerance of 38 independent transgenic potato lines derived from the cultivar Desiree was tested in vitro using plantlets. The lines were transgenic for the DREB1A gene under control of the rd29A promoter, both of which were derived from Arabidopsis thaliana. The level of damage caused by freezing varied significantly among the transgenic clones and a non-transgenic control (cv. Desiree). Phenotypic evaluation indicated that the variable responses to freezing were attributable to genotypic variation, but freezing tolerance was not dependent on the number of insertions. Northern blot analysis using a DREB1A cDNA probe revealed high levels of DREB1A expression among the transgenic clones during the initial cold exposure at 4°C (after 2 h) and in the early stages of freezing (−20°C, 1–10 min). Furthermore, a linear correlation was detected between the level of expression and the phenotypic response for all lines except D138. Thus, in the case of potato, a significant increase in freezing tolerance was observed in vitro on a small scale following the introduction of rd29A::DREB1A. Additional testing will show whether this strategy can be used for tolerance breeding in potato and to increase the freezing tolerance of other agriculturally important crops. Babak Behnam and Akira Kikuchi equally contributed for this work.     

Protein modeling of cathepsin C mutations found in Papillon–Lefèvre syndrome

Background

Papillon–Lefèvre syndrome (PLS) is a rare autosomal recessive disorder characterized by hyperkeratosis involving the palms, soles, elbows, and knees followed by periodontitis, destruction of alveolar bone, and loss of primary and permanent teeth. Mutations of the lysosomal protease cathepsin C gene (CTSC) have been shown to be the genetic cause of PLS. This study analyzed CTSC mutations in five Iranian families with PLS and modeled the protein for mutations found in two of them.

Methods

DNA analysis was performed by direct automated sequencing of genomic DNA amplified from exonic regions and associated splice intron site junctions of CTSC. RFLP analyses were performed to investigate the presence of previously unidentified mutation(s) in control groups. Protein homology modeling of the deduced novel mutations (P35 delL and R272P) was performed using the online Swiss-Prot server for automated modeling and analyzed and tested with special bioinformatics tools to better understand the structural effects caused by mutations in cathepsin C protein (CTSC).

Results

Six Iranian patients with PLS experienced premature tooth loss and palm plantar hyperkeratosis. Sequence analysis of CTSC revealed a novel mutation (P35delL) in exon 1 of Patient 1, and four previously reported mutations; R210X in Patient 2, R272P in Patient 3, Q312R in two siblings of family 4 (Patients 4 and 5), and CS043636 in Patient 6. RFLP analyses revealed different restriction fragment patterns between 50 healthy controls and patients for the P35delL mutation. Modeling of the mutations found in CTSC, P35delL in Patient 1 and R272P in Patient 3 revealed structural effects, which caused the functional abnormalities of the mutated proteins.

Conclusions

The presence of this mutation in these patients provides evidence for founder CTSC mutations in PLS. This newly identified P35delL mutation leads to the loss of a leucine residue in the protein. The result of this study indicates that the phenotypes observed in these two patients are likely due to CTSC mutations. Also, structural analyses of the altered proteins identified changes in energy and stereochemistry that likely alter protein function.     

Adaptive prediction of epileptic seizures from intracranial recordings

Previous work has demonstrated that some dynamic properties of intracranial EEG signals are indicative of epileptic seizures and hence could be used for prediction in order to realize counter measures. However, most previous studies only investigated predictability via offline analysis of EEG signals as compared to actually predicting seizures in a setting applicable to implantable devices. Here we address this problem, which calls for simple and fast online methods, and based on previous offline analyses we hypothesize that prediction can be further improved when using multiple features to detect the preictal patterns. We propose a simple adaptive online method (an evolving neuro-fuzzy model) to adaptively learn such combined features. The classifier starts out with a simple structure and patient-independent parameters and then grows into a personal seizure predictor as recursive methods tune the model structure and parameters. We apply the adaptive classifier to a publicly available database of intracranial recordings from 21 patients and demonstrate that seizure prediction is improved with our online method as compared to offline non-adaptive techniques. We show that our method is robust with respect to those few model parameters, which are not adapted. Moreover, as we report the performance on data from a publicly available seizure database, our results can serve as a yardstick for future method developments.