Human interleukin‐23 receptor antagonists derived from an albumin‐binding domain scaffold inhibit IL‐23‐dependent ex vivo expansion of IL‐17‐producing T‐cells

Engineered combinatorial libraries derived from small protein scaffolds represent a powerful tool for generating novel binders with high affinity, required specificity and designed inhibitory function. This work was aimed to generate a collection of recombinant binders of human interleukin‐23 receptor (IL‐23R), which is a key element of proinflammatory IL‐23‐mediated signaling. A library of variants derived from the three‐helix bundle scaffold of the albumin‐binding domain (ABD) of streptococcal protein G and ribosome display were used to select for high‐affinity binders of recombinant extracellular IL‐23R. A collection of 34 IL‐23R‐binding proteins (called REX binders), corresponding to 18 different sequence variants, was used to identify a group of ligands that inhibited binding of the recombinant p19 subunit of IL‐23, or the biologically active human IL‐23 cytokine, to the recombinant IL‐23R or soluble IL‐23R‐IgG chimera. The strongest competitors for IL‐23R binding in ELISA were confirmed to recognize human IL‐23R‐IgG in surface plasmon resonance experiments, estimating the binding affinity in the sub‐ to nanomolar range. We further demonstrated that several REX variants bind to human leukemic cell lines K‐562, THP‐1 and Jurkat, and this binding correlated with IL‐23R cell‐surface expression. The REX125, REX009 and REX128 variants competed with the p19 protein for binding to THP‐1 cells. Moreover, the presence of REX125, REX009 and REX115 variants significantly inhibited the IL‐23‐driven expansion of IL‐17‐producing primary human CD4⁺ T‐cells. Thus, we conclude that unique IL‐23R antagonists derived from the ABD scaffold were generated that might be useful in designing novel anti‐inflammatory biologicals. Proteins 2014; 82:975–989. © 2013 The Authors. Proteins: Structure, Function, and Bioinformatics Published by Wiley Periodicals, Inc.     

Specific potassium ion interactions facilitate homocysteine binding to betaine‐homocysteine S‐methyltransferase

Betaine‐homocysteine S‐methyltransferase (BHMT) is a zinc‐dependent methyltransferase that uses betaine as the methyl donor for the remethylation of homocysteine to form methionine. This reaction supports S‐adenosylmethionine biosynthesis, which is required for hundreds of methylation reactions in humans. Herein we report that BHMT is activated by potassium ions with an apparent K_M for K⁺ of about 100 µM. The presence of potassium ions lowers the apparent K_M of the enzyme for homocysteine, but it does not affect the apparent K_M for betaine or the apparent k_cat for either substrate. We employed molecular dynamics (MD) simulations to theoretically predict and protein crystallography to experimentally localize the binding site(s) for potassium ion(s). Simulations predicted that K⁺ ion would interact with residues Asp26 and/or Glu159. Our crystal structure of BHMT bound to homocysteine confirms these sites of interaction and reveals further contacts between K⁺ ion and BHMT residues Gly27, Gln72, Gln247, and Gly298. The potassium binding residues in BHMT partially overlap with the previously identified DGG (Asp26‐Gly27‐Gly28) fingerprint in the Pfam 02574 group of methyltransferases. Subsequent biochemical characterization of several site‐specific BHMT mutants confirmed the results obtained by the MD simulations and crystallographic data. Together, the data herein indicate that the role of potassium ions in BHMT is structural and that potassium ion facilitates the specific binding of homocysteine to the active site of the enzyme. Proteins 2014; 82:2552–2564. © 2014 Wiley Periodicals, Inc.     

Dynamics of the exponential integrate-and-fire model with slow currents and adaptation

In order to properly capture spike-frequency adaptation with a simplified point-neuron model, we study approximations of Hodgkin-Huxley (HH) models including slow currents by exponential integrate-and-fire (EIF) models that incorporate the same types of currents. We optimize the parameters of the EIF models under the external drive consisting of AMPA-type conductance pulses using the current-voltage curves and the van Rossum metric to best capture the subthreshold membrane potential, firing rate, and jump size of the slow current at the neuron’s spike times. Our numerical simulations demonstrate that, in addition to these quantities, the approximate EIF-type models faithfully reproduce bifurcation properties of the HH neurons with slow currents, which include spike-frequency adaptation, phase-response curves, critical exponents at the transition between a finite and infinite number of spikes with increasing constant external drive, and bifurcation diagrams of interspike intervals in time-periodically forced models. Dynamics of networks of HH neurons with slow currents can also be approximated by corresponding EIF-type networks, with the approximation being at least statistically accurate over a broad range of Poisson rates of the external drive. For the form of external drive resembling realistic, AMPA-like synaptic conductance response to incoming action potentials, the EIF model affords great savings of computation time as compared with the corresponding HH-type model. Our work shows that the EIF model with additional slow currents is well suited for use in large-scale, point-neuron models in which spike-frequency adaptation is important.     

Glycine inhibits angiogenic signaling in human hepatocellular carcinoma cells

Hepatocellular carcinoma (HCC) is a highly vascularized tumor with limited susceptibility to chemotherapy. Modern targeted therapies are aimed at specific properties of this neoplasm. Glycine is a simple non-essential amino acid with potential antiangiogenic effects. In this study, the amino acid’s effect on angiogenic signaling in an in vitro model of HCC was evaluated. HepG2 and Huh7 cells were treated with glycine-free DMEM supplemented with 0, 0.01, 0.1, 1.0, 2.0, 5.0 and 10 mM glycine. The direct effects of glycine on the viability of HCC cells were monitored using MTT assay. To detect angiogenic signaling, mRNA and protein levels of vascular endothelial growth factor (VEGF-A) were measured using RT-PCR and Western Blot assays. To determine whether or not glycine receptors (GlyR) played a significant role, the specific antagonist, strychnine, was used as a direct inhibitor. Western Blotting was performed to show the presence of GlyR. While there was no direct pro- or antiproliferative effect of either glycine or strychnine in both cell lines, glycine was shown to significantly decrease VEGF-A expression on mRNA and protein level up to 63 % in both cell lines. This effect was blunted by the presence of strychnine. GlyR was also identified in both cell lines. Glycine decreases GlyR-dependent, VEGF-A-mediated, angiogenic signaling in human HCC and thus might be a promising additive to chemotherapy treatment strategies for highly vascularized tumors.     

Formic Acid and Acetic Acid Induce a Programmed Cell Death in Pathogenic Candida Species

Cutaneous fungal infections are common and widespread. Antifungal agents used for the treatment of these infections often have undesirable side effects. Furthermore, increased resistance of the microorganisms to the antifungal drugs becomes the growing problem. Accordingly, the search for natural antifungal compounds continues to receive attention. Apoptosis is highly regulated programmed cell death. During yeast cell apoptosis, amino acids and peptides are released and can stimulate regeneration of human epithelium cells. Thus, detection of chemical compounds inducing apoptosis in yeast and nontoxic for humans is of great medical relevance. The aim of this study was to detect chemical compound inducing apoptosis in pathogenic Candida species with the lowest toxicity to the mammalian cells. Five chemical compounds—acetic acid, sodium bicarbonate, potassium carbonate, lithium acetate, and formic acid—were tested for evaluation of antifungal activity on C. albicans, C. guilliermondii, and C. lusitaniae. The results showed that acetic acid and formic acid at the lowest concentrations induced yeast cells death. Apoptosis analysis revealed that cells death was accompanied by activation of caspase. Minimal inhibitory concentrations of potassium carbonate and sodium bicarbonate induced Candida cells necrosis. Toxicity test with mammalian cell cultures showed that formic acid has the lowest effect on the growth of Jurkat and NIH 3T3 cells. In conclusion, our results show that a low concentration of formic acid induces apoptosis-like programmed cell death in the Candida yeast and has a minimal effect on the survivability of mammalian cells, suggesting potential applications in the treatment of these infections.     

Dispersal ability of island endemic plants: What can we learn using multiple dispersal traits?

Island endemic species are expected to have lower dispersal ability than their non-endemic congeners. Several studies have demonstrated differences in diaspore morphology between endemic species and their non-endemic congeners. It is, however, relatively difficult to translate the differences in morphology of the diaspores into differences in dispersal ability. To avoid this problem, we measured directly dispersal values (anemo-, hydro-, exozoo- and endozoo-chory) of 27 pairs of closely related endemic and non-endemic species from Canary Islands. We did not explicitly support the hypothesis about the loss of dispersal ability of island species. The comparison of pairs of endemic and non-endemic species showed the reduction in dispersal potential only for endozoochory. In many cases, endemic species had, in fact, the same or better dispersal ability than their non-endemic congeners. Higher dispersal ability of endemic species could have been evolved as a consequence of species subsequent dispersal to neighboring islands. As a support for this we found that the endemic species dispersing better than their non-endemic congeners also occupy more islands within the archipelago. We conclude that reduction of dispersal ability of species on islands may not be as general as previously expected and we need to take into account multiple species traits to understand the possible evolution of species dispersal potential.     

Taxonomical classification and origin of Kamut® wheat

Bioagriculture and healthy lifestyle are trends of the twenty-first century. Bioagriculture involves the breeding of crops without using modern synthetic substances. Kamut brand wheat is one of the popular biocereals grown mainly in the USA and Europe. This cereal has the status of ancient wheat, not only because it has been grown since the era of the ancient Egyptian civilization, but also for its properties favorable for modern breeding programs and modern food marketing. In spite of Kamut’s^® interesting history and stable place in the market, it is not a common subject of genetic studies. It is also interesting that it has not been successfully taxonomically classified yet. There are a few studies which classify this tetraploid wheat as Triticum polonicum L., T. turanicum Jakubz., T. turgidum L. and T. durum Desf. These studies are based on cytological and comparative methods. We chose molecular (transposable element resistance gene analog polymorphism, diversity arrays technology, sequencing of genes SBEIIa, and ψLpx-A1_like) and statistical methods to classify Kamut^® wheat. According to our experiments we suggest that Kamut brand wheat originated as a natural hybrid between Triticum dicoccon conv. dicoccon and T. polonicum and is not original ancient Egyptian wheat. We suggest that Etruscan wheat has the same parents as Kamut^®.