Network analysis reveals common host protein/s modulating pathogenesis of neurotropic viruses

Network analysis through graph theory provides a quantitative approach to characterize specific proteins and their constituent assemblies that underlie host-pathogen interactions. In the present study, graph theory was used to analyze the interactome designed out of 50 differentially expressing proteins from proteomic analysis of Chandipura Virus (CHPV, Family: Rhabdoviridae) infected mouse brain tissue to identify the primary candidates for intervention. Using the measure of degree centrality, that quantifies the connectedness of a single protein within a milieu of several other interacting proteins, DJ-1 was selected for further molecular validation. To elucidate the generality of DJ-1’s role in propagating infection its role was also monitored in another RNA virus, Japanese Encephalitis Virus (JEV, Family: Flaviviridae) infection. Concurrently, DJ-1 got over-expressed in response to reactive oxygen species (ROS) generation following viral infection which in the early phase of infection migrated to mitochondria to remove dysfunctional mitochondria through the process of mitophagy. DJ-1 was also observed to modulate the viral replication and interferon responses along with low-density lipoprotein (LDL) receptor expression in neurons. Collectively these evidences reveal a comprehensive role for DJ-1 in neurotropic virus infection in the brain

Novel polyvinyl alcohol based Cr(III)-Sn(IV) doped In(III) nitrate composite foam: synthesis, unit cell formulation and structure

Nanoscale ordered structures of semiconductors are highly demanding in today's research world for their special optical, electrical and magnetic properties. As a general trend, the inorganic moiety is encapsulated in the PVA host. Encapsulation of the hydrated nitrate of Cr(III), In(III) and Sn(IV) in the crystalline PVA matrix leads to a novel ultra-light, porous and well-structured composite foam material at 100 degrees C. This is an entirely new composite foam material of inorganic polymer of Sn(IV) and Cr(III) doped In(III) compound in the polymeric chain of PVA. The photoluminescence spectrum confirms atactic-PVA. The structural stability of PVA in the composite foam has been determined by the degree of hydrolysis and the viscosity average molecular weight. FTIR spectroscopy, UV-VIS absorption, elemental and XRD analyses elucidate the unit cell formulation and structure of the composite foam. The microstructural characterizations (SEM, FESEM and HRTEM) explain the porous and branching morphological features

Extractive single document summarization using binary differential evolution: Optimization of different sentence quality measures.

With the increase in the amount of text information in different real-life applications, automatic text-summarization systems become more predominant in extracting relevant information. In the current study, we formulated the problem of extractive text-summarization as a binary optimization problem, and multi-objective binary differential evolution (DE) based optimization strategy is employed to solve this. The solutions of DE encode a possible subset of sentences to be present in the summary which is then evaluated based on some statistical features (objective functions) namely, the position of the sentence in the document, the similarity of a sentence with the title, length of the sentence, cohesion, readability, and coverage. These objective functions, measuring different aspects of summary, are optimized simultaneously using the search capability of DE. Some newly designed self-organizing map (SOM) based genetic operators are incorporated in the optimization process to improve the convergence. SOM generates a mating pool containing solutions and their neighborhoods. This mating pool takes part in the genetic operation (crossover and mutation) to create new solutions. To measure the similarity or dissimilarity between sentences, different existing measures like normalized Google distance, word mover distance, and cosine similarity are explored. For the purpose of evaluation, two standard summarization datasets namely, DUC2001, and DUC2002 are utilized, and the obtained results are compared with various supervised, unsupervised and optimization strategy based existing summarization techniques using ROUGE measures. Results illustrate the superiority of our approach in terms of convergence rate and ROUGE scores as compared to state-of-the-art methods. We have obtained 45% and 5% improvements over two recent state-of-the-art methods considering ROUGE-2 and ROUGE-1 scores, respectively, for the DUC2001 dataset. While for the DUC2002 dataset, improvements obtained by our approach are 20% and 5%, considering ROUGE-2 and ROUGE-1 scores, respectively. In addition to these standard datasets, CNN news dataset is also utilized to evaluate the efficacy of our proposed approach. It was also shown that the best performance not only depends on the objective functions used but also on the correct choice of similarity/dissimilarity measure between sentences

Synthesis of sol-gel based nanostructured Cr(III)-doped indium tin oxide films on glass and their optical and magnetic characterizations

Sol-gel based nanostructured Cr(III)-doped indium tin oxide (ITO) films (In:Sn:Cr = 84.6:9.4:6.0) deposited on silica glass were cured at 350 degrees C, 450 degrees C, 600 degrees C, 700 degrees C and 900 degrees C. EDX, absorption spectra and TEM images confirmed formation of Cr(III)-doped ITO nanoclusters close to Bohr radius of ITO. Excitonic and phonon interactions were studied by absorption, photoluminescence (PL) and Raman spectra. The photon energy between the satellite peaks of PL spectra predicted phonon vibrations. Strong hybridization between s-p-states of host and d-states of Cr(III) resulted in stable exciton-phonon coupling as revealed from excitonic and lattice phonon vibrations. Soft room temperature ferromagnetism was observed in the films. (C) 2012 Elsevier B.V. All rights reserved

Fabrication of rice bran oil nanoemulsion and conventional emulsion with Mustard Protein Isolate as a novel excipient: Focus on shelf-life stability, lipid digestibility and cellular bioavailability

Proteins are one of the many effective biomolecules found in oilseed meals. In order to formulate an oil-in-water nanoemulsion based lipophilic nutraceutical delivery vehicle for Rice Bran oil (RBO) rich in γ-oryzanol, we used mustard seed meal protein isolate (MPI) as a novel natural surfactant together with a small molecular weight co-surfactant Tween 20 in various ratios (3:1, 1:1, 1:3) to stabilize the heterogeneous system. The oxidative stability, physico-chemical characterization in response to pH and ionic strength, shelf-life, and storage of the nanoemulsions containing 1% surfactant in total, comprising different ratios of MPI and Tween 20 were optimised to form an efficient biphasic surfactant system. The oil-in-water nanoemulsions fabricated utilizing high energy approach, i.e. high pressure homogenisation method was found to reduce dispersed phase particles size in the range of 150–160 nm. Minimal non-significant variation in droplet size and surface charge over the 8 weeks storage periods proves their excellent shelf-life stability. The use of MPI as surfactant for the delivery system also increased the lipid fraction digestibility releasing 70% of the fatty acids from dispersed phase oil droplets in simulated intestinal phase of three step in vitro digestion of nanoemulsion as compared to its conventional counterpart. The γ-oryzanol rich nanoemulsions improved prophylactic effectiveness against ROS in terms of overall cell survival and cell membrane integrity. The results will pave new domains to use MPI as surface active agents for delivery system formulation enriched with nutraceuticals and phytochemicals possessing superior functional advantages, bioavailability and antioxidative potentials

Hyaluronic acid-graphene oxide quantum dots nanoconjugate as dual purpose drug delivery and therapeutic agent in meta-inflammation

Abstract Type 2 diabetes mellitus (T2DM) predominantly considered a metabolic disease is now being considered an inflammatory disease as well due to the involvement of meta-inflammation. Obesity-induced adipose tissue inflammation (ATI) is one of the earliest phenomena in the case of meta-inflammation, leading to the advent of insulin resistance (IR) and T2DM. The key events of ATI are orchestrated by macrophages, which aggravate the inflammatory state in the tissue upon activation, ultimately leading to systemic chronic low-grade inflammation and Non-Alcoholic Steatohepatitis (NASH) through the involvement of proinflammatory cytokines. The CD44 receptor on macrophages is overexpressed in ATI, NASH, and IR. Therefore, we developed a CD44 targeted Hyaluronic Acid functionalized Graphene Oxide Quantum Dots (GOQD-HA) nanocomposite for tissue-specific delivery of metformin. Metformin-loaded GOQD-HA (GOQD-HA-Met) successfully downregulated the expression of proinflammatory cytokines and restored antioxidant status at lower doses than free metformin in both palmitic acid-induced RAW264.7 cells and diet induced obese mice. Our study revealed that the GOQD-HA nanocarrier enhanced the efficacy of Metformin primarily by acting as a therapeutic agent apart from being a drug delivery platform. The therapeutic properties of GOQD-HA stem from both HA and GOQD having anti-inflammatory and antioxidant properties respectively. This study unravels the function of GOQD-HA as a targeted drug delivery option for metformin in meta-inflammation where the nanocarrier itself acts as a therapeutic agent. Graphical Abstrac