Gut Microbiota and Alzheimer’s Disease: How to Study and Apply Their Relationship

Gut microbiota (GM), the microorganisms in the gastrointestinal tract, contribute to the regulation of brain homeostasis through bidirectional communication between the gut and the brain. GM disturbance has been discovered to be related to various neurological disorders, including Alzheimer’s disease (AD). Recently, the microbiota-gut-brain axis (MGBA) has emerged as an enticing subject not only to understand AD pathology but also to provide novel therapeutic strategies for AD. In this review, the general concept of the MGBA and its impacts on the development and progression of AD are described. Then, diverse experimental approaches for studying the roles of GM in AD pathogenesis are presented. Finally, the MGBA-based therapeutic strategies for AD are discussed. This review provides concise guidance for those who wish to obtain a conceptual and methodological understanding of the GM and AD relationship with an emphasis on its practical application

Kinematic Skeleton Based Control of a Virtual Simulator for Military Training

Virtual simulation technology has been considered as a highly efficient and cost-effective solution for a soldier training system, and evolved into diverse combinations of hardware and software. To maximize the virtual reality effect within a restricted space, a locomotion interface such as an omni-directional treadmill is introduced as a major component of a virtual simulator, therefore real time interaction between human and the virtual simulator becomes very important. Displacement and heading changes of the trainee are crucial information to control the virtual simulator when we implement highly reactive motion control for the omni-directional treadmill and interaction control of the virtual contents. This paper proposes a control parameter estimation algorithm for the virtual training simulator by using two types of motion capture sensors and presents the experimental results. Kinematic joint positions are analyzed to estimate the trainee’s location and velocity for feedback and feedforward control of the omni-directional treadmill. The accuracy of two approaches is evaluated by comparing with the reference system, which gives a ground truth value

Binding Dynamics of Hepatitis C Virus' NS5A Amphipathic Peptide to Cell and Model Membranes▿

Membrane association of the hepatitis C virus NS5A protein is required for viral replication. This association is dependent on an N-terminal amphipathic helix (AH) within NS5A and is restricted to a subset of host cell intracellular membranes. The mechanism underlying this specificity is not known, but it may suggest a novel strategy for developing specific antiviral therapy. Here we have probed the mechanistic details of NS5A AH-mediated binding to both cell-derived and model membranes by use of biochemical membrane flotation and quartz crystal microbalance (QCM) with dissipation. With both assays, we observed AH-mediated binding to model lipid bilayers. When cell-derived membranes were coated on the quartz nanosensor, however, significantly more binding was detected, and the QCM-derived kinetic measurements suggested the existence of an interacting receptor in the target membranes. Biochemical flotation assays performed with trypsin-treated cell-derived membranes exhibited reduced AH-mediated membrane binding, while membrane binding of control cytochrome b5 remained unaffected. Similarly, trypsin treatment of the nanosensor coated with cellular membranes abolished AH peptide binding to the cellular membranes but did not affect the binding of a control lipid-binding peptide. These results therefore suggest that a protein plays a critical role in mediating and stabilizing the binding of NS5A's AH to its target membrane. These results also demonstrate the successful development of a new nanosensor technology ideal both for studying the interaction between a protein and its target membrane and for developing inhibitors of that interaction

Inhibition of Hepatitis C Virus in Mice by a Small Interfering RNA Targeting a Highly Conserved Sequence in Viral IRES Pseudoknot.

The hepatitis C virus (HCV) internal ribosome entry site (IRES) that directs cap-independent viral translation is a primary target for small interfering RNA (siRNA)-based HCV antiviral therapy. However, identification of potent siRNAs against HCV IRES by bioinformatics-based siRNA design is a challenging task given the complexity of HCV IRES secondary and tertiary structures and association with multiple proteins, which can also dynamically change the structure of this cis-acting RNA element. In this work, we utilized siRNA tiling approach whereby siRNAs were tiled with overlapping sequences that were shifted by one or two nucleotides over the HCV IRES stem-loop structures III and IV spanning nucleotides (nts) 277-343. Based on their antiviral activity, we mapped a druggable region (nts 313-343) where the targets of potent siRNAs were enriched. siIE22, which showed the greatest anti-HCV potency, targeted a highly conserved sequence across diverse HCV genotypes, locating within the IRES subdomain IIIf involved in pseudoknot formation. Stepwise target shifting toward the 5' or 3' direction by 1 or 2 nucleotides reduced the antiviral potency of siIE22, demonstrating the importance of siRNA accessibility to this highly structured and sequence-conserved region of HCV IRES for RNA interference. Nanoparticle-mediated systemic delivery of the stability-improved siIE22 derivative gs_PS1 siIE22, which contains a single phosphorothioate linkage on the guide strand, reduced the serum HCV genome titer by more than 4 log10 in a xenograft mouse model for HCV replication without generation of resistant variants. Our results provide a strategy for identifying potent siRNA species against a highly structured RNA target and offer a potential pan-HCV genotypic siRNA therapy that might be beneficial for patients resistant to current treatment regimens

Inhibition of HCV IRES-mediated translation by systemically delivered LNP-formulated siIE22.

<p>(A and B) Schematic diagram of siIE22 LNP (A) and LNP particle size analysis (B). (C) Experimental schedule and schematic representation of the pDual-IRES plasmid. The pDual-IRES plasmid was hydrodynamically injected through the tail vein of BALB/c mice (n = 4 per group). After 1 h, mice were iv injected with siIE22 LNP at a dose of 1 mg/kg body weight. The Fluc expression level in the liver was determined 16 h after the injection. Luciferase activity is reported as RLU per mg protein. *, <i>P <</i> 0.01. (D) BALB/c mice (n = 4 per group) were iv injected with indicated siRNAs (1 mg/kg body weight) complexed with ND98 or formulated with LNP. Poly(I:C) (1 mg/kg) complexed with ND98, formulated with LNP, or free form (each in 170 μl) was administered. PBS or LNP vesicles alone were used as control treatments. Two hours later, serum IFN-α levels were quantified by ELISA. The dotted line indicates the detection limit of the assay (15 pg/ml). (E) hPMBCs grown in 96-well plates were transfected with indicated siRNA at 10 nM concentration or with 1 μg/well poly(I:C) using the lipidoid ND98 or stimulated by a direct addition of 50 μg/ml poly(I:C) to the medium. After 16 h, cell culture supernatants from stimulated cells were analyzed for IFN-α by ELISA. Data shown are from one of the two independent experiments with similar results. ND, non-detectable. (F) HEK293 cells were transfected with the luciferase expressing plasmids (IFNβ-pGL3 and pRL-TK) for the IFN-β promoter activity assay. After 6 h, cells were transfected with 100 nM siIE22 or scrambled (Sc) siRNA, or 1 μg/ml poly(I:C). After 8 h, cells were harvested for dual luciferase assays. Fluc activity was normalized to Rluc activity from the pRL-TK plasmid. Normalized luciferase activity (Fluc/Rluc) of mock-treated cells was defined as 100. Data are presented as the mean ± SD of six measurements from two independent experiments.</p

Screening for potent HCV IRES-targeting siRNA by siRNA tiling experiments.

<p>(A) The proposed secondary structure of HCV IRES. The IRES region spanning nts 277–343 (shown in gray) was targeted by siRNAs. The target site of the selected potent anti-HCV siRNA siIE22 is shown in blue. The base-pairings in the proposed pseudoknot (PK) structures (PKs 1 and 2) are shown in green. (B) siRNA sequences tiled over HCV IRES. The underlined sequence represents a mapped druggable region (nts 313–343) where the targets of selected potent siRNAs were enriched. (C) Anti-HCV activity of HCV IRES-targeting siRNAs in Huh7 cells transfected with Rluc-JFH1 (top panel), an HCV replicon encoding the Rluc reporter. The Rluc gene was fused in frame to the DNA sequence encoding 17 N-terminal amino acid residues of the HCV core protein. Huh7 cells were electroporated with the Rluc-JFH1 <i>in vitro</i> RNA transcript and pGL3 plasmid used for normalization of transfection efficiency. After 24 h, the cells were transfected with each of the IRES-specific siRNAs or a scrambled (Sc) siRNA (50 nM). At 48 h post-transfection, luciferase activity was measured. (D) Huh7 cells harboring an HCV subgenomic replicon RNA (R-1) were transfected with each of the IRES-specific siRNAs or Sc siRNA (10 nM each). At 48 h post-transfection, HCV RNA levels were quantified by real-time qRT-PCR. *, <i>P <</i> 0.01. (E and F) Dose-dependent inhibition of HCV-replication by siIE22 was assessed in R-1 cells, as described in (D). HCV genome copy number and HCV proteins (NS5A and NS5B) levels were analyzed by qRT-PCR (E) and western blotting (F), respectively.</p

Anti-HCV efficacy of chemically modified siIE22 derivatives.

<p>(A) Non-modified siIE22 (2 μM) was incubated in 45% human plasma for the indicated time periods. RNA extracted from each sample was resolved by electrophoresis on a denaturing 15% polyacrylamide gel and subjected to northern blotting (NB) analysis for detection of siIE22 guide-strand. The Phosphorimager image shown is from one representative experiment of three independent experiments with similar results. Densitometric analysis of siIE22 guide strand signal was done using a Phosphorimager. Relative intensity of signals was plotted using SigmaPlot to estimate siIE22 guide strand half-life. Relative signal (% of signal at time 0) is shown below a representative blot. (B) Sequences of modified guide and passenger strands of siIE22 derivatives used in this study. Modified residues are shown in green or blue. “s”, phosphorothioate linkage. (C) Plasma stability of a set of the selected siIE22 derivatives was evaluated as in (A). (D) Anti-HCV activity of the selected modified siIE22 (1 nM) was evaluated in R-1 cells as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0146710#pone.0146710.g001" target="_blank">Fig 1D</a>. *, <i>P <</i> 0.01. (E) Analysis of half-life of the gs_PS1 siIE22 as in (A).</p