Monodisperse nickel-nanoparticles for stereo- and chemoselective hydrogenation of alkynes to alkenes

Here, we report the use of monosaccharides for the preparation of novel nickel nanoparticles (NP), which constitute selective hydrogenation catalysts. For example, immobilization of fructose and Ni(OAc)2 on silica and subsequent pyrolysis under inert atmosphere produced graphitic shells encapsulated Ni-NP with uniform size and distribution. Interestingly, fructose acts as structure controlling compound to generate specific graphitic layers and the formation of monodisperse NP. The resulting stable and reusable catalysts allow for stereo- and chemoselective semihydrogenation of functionalized and structurally diverse alkynes in high yields and selectivity. © 2019 The Author(s

UTILIZATION OF APPLE PEELS FOR THE PRODUCTION OF PLANT CELL-WALL DEGRADING ENZYMES BY ASPERGILLUS FUMIGATUS MS16

ABSTRACT Apple (Malusdomesticaborkh) is one of the popular fruit with an annual global production of several million tones. The use of apple in food production industry led to the generation of huge waste materials in the form of peels and pomace. Owing to the high amounts of lignocellulosics present in the wastes, these can be served as substrate for the production of plant cell-wall degrading enzymes (CWDE). The present study describes the potential of an indigenously isolated strain of Aspergillusfumigatusto produce plant CWDE using apple peels under submerged as well solid-state fermentation. It was observed that the strain was able to produce higher activity of pectinase and xylanase under both the types of fermentation at 30 o as well as at 40 o C. While less titers of filter paperase, endoglucanase, -glucosidase was obtained. However, the production of plant CWDE was influenced when the apple peels were supplemented with carboxymethyl cellulose, xylan, pectin and lactose. Interestingly, a structurally irrelevant substrate, lactose, acted as inducer, particularly for the production of pectinase

Designing EthAKUL: A mobile just-in-time learning environment for bioethics in Pakistan

In developing countries such as Pakistan, bioethics has not been included in mainstream thinking in medical education. The authors’ experiences suggest that current methods of teaching bioethics are problematic as students are unable to translate theory to practice. Alternative pedagogies, such as just-in-time learning (JiTL) using mobile devices, may be able to foster the development and implementation of ethical reasoning among nurses, doctors, and medical and nursing students. This research was conceived to determine the effectiveness of mobile JiTL – anytime, anyplace learning through mobile devices – for teaching bioethics. After obtaining ethical clearance, a participatory design (PD) approach was adopted to ensure input from all stakeholders for the design of ‘EthAKUL’, comprising a mobile app, five modules and just-in-time pedagogy. The name of the app is an acronym evoking ethics, learning and the university where the project originated. As a part of the design process, three PD workshops were held with junior doctors, nurses, nursing students, medical students and bioethics teaching faculty, and five meetings were held with faculty members, to discuss functional specifications and user-acceptance testing of the app. The feedback related to the nature of common ethical issues encountered in clinical settings, the existing process of teaching and learning bioethics, and the requested features of the app were recorded. These data sets were analyzed and synthesized into functional and technical specifications for the mobile app. The software programmers developed the app with the close involvement of the stakeholders. The development of teaching content continued alongside this process. While this enabled EthAKUL’s developers to incorporate needs of all stakeholders, challenges were encountered in the process relating to the pragmatic and conceptual aspects of JiTL, ML and PD. We discuss the implications of this research in bringing about transformative changes in higher education

Development of Paracetamol-Caffeine co-crystals to improve compressional, formulation and in-vivo performance

Paracetamol, a frequently used antipyretic and analgesic drug, has poor compression moldability owing to its low plasticity. In this study, new co-crystals of paracetamol (PCM) with caffeine (as a co-former) were prepared and delineated. Co-crystals exhibited improved compaction and mechanical behavior. A screening study was performed by utilizing a number of methods namely dry grinding, liquid assisted grinding (LAG), solvent evaporation (SE) and anti-solvent addition using various weight ratios of starting materials. LAG and SE were found successful in the screening study. Powders at 1:1 and 2:1 weight ratio of PCM/CAF by LAG and SE respectively resulted in the formation of co-crystals. Samples were characterized by PXRD, DSC and ATR-FTIR techniques. Compressional properties of PCM and developed co-crystals were analyzed by in-die heckle model. Mean yield pressure (Py), an inverse measure of plasticity, obtained from the heckle plots decreased significantly (p<0.05) for co-crystals than pure drug. Intrinsic dissolution profile of co-crystals showed up to 2.84 fold faster dissolution than PCM and physical mixtures in phosphate buffer pH 6.8 at 37 oC. In addition co-crystals formulated into tablets by direct compression method showed better mechanical properties like hardness and tensile strength. In vitro dissolution studies on tablets also showed enhanced dissolution profiles (~90- 97%) in comparison to the tablets of PCM prepared by direct compression (~55%) and wet granulation (~85%) methods. In a single dose sheep model study co-crystals showed up to two fold increase in AUC and Cmax. A significant (p < 0.05) decrease in clearance as compared to pure drug was also recorded. In conclusion new co-crystals of PCM were successfully prepared with improved tabletability in-vitro and in-vivo profile. Enhancement in AUC and Cmax of PCM by co-crystallisation might suggest the dose reduction and avoidance of side effects

Interaction between GRP78 and IGFBP-3 affects tumourigenesis and prognosis in breast cancer patients

Insulin-like growth factor binding protein 3 (IGFBP-3) plays a key role in breast cancer progression and was recently shown to bind to the chaperone protein glucose-regulated protein 78 (GRP78); however, the clinical significance of this association remains poorly investigated. Here we report a direct correlation between the expression of GRP78 and IGFBP-3 in breast cancer cell lines and tumour sections. Kaplan–Meier survival plots revealed that patients with low GRP78 expression that are positive for IGFBP-3 had poorer survival rates than those with low IGFBP-3 levels, and we observed a similar trend in the publicly available METABRIC gene expression database. With breast cancer cells, in vitro IGFBP-3 enhanced induced apoptosis, however when GRP78 expression was silenced the actions of IGFBP-3 were switched from increasing to inhibiting ceramide (C2)-induced cell death and promoted cell invasion. Using immunofluorescence and cell surface biotinylation, we showed that knock-down of GRP78 negated the entry of IGFBP-3 into the cells. Together, our clinical and experimental results suggest that loss of GRP78 reduces IGFBP-3 entry into cells switching its actions to promote tumorigenesis and predicts a poor prognosis in breast cancer patients

A Non-Invasive method of quantifying pancreatic volume in mice using micro-MRI

In experimental models of pancreatic growth and recovery, changes in pancreatic size are assessed by euthanizing a large cohort of animals at varying time points and measuring organ mass. However, to ascertain this information in clinical practice, patients with pancreatic disorders routinely undergo non-invasive cross-sectional imaging of the pancreas using magnetic resonance imaging (MRI) or computed tomography (CT). The aim of the current study was to develop a thinsliced, optimized sequence protocol using a high field MRI to accurately calculate pancreatic volumes in the most common experimental animal, the mouse. Using a 7 Telsa Bruker micro-MRI system, we performed abdominal imaging in whole-fixed mice in three standard planes: axial, sagittal, and coronal. The contour of the pancreas was traced using Vitrea software and then transformed into a 3-dimensional (3D) reconstruction, from which volumetric measurements were calculated. Images were optimized using heart perfusion-fixation, T1 sequence analysis, and 0.2 to 0.4 mm thick slices. As proof of principle, increases in pancreatic volume among mice of different ages correlated tightly with increasing body weight. In summary, this is the first study to measure pancreatic volumes in mice, using a high field 7 Tesla micro-MRI and a thin-sliced, optimized sequence protocol. We anticipate that micro-MRI will improve the ability to non-invasively quantify changes in pancreatic size and will dramatically reduce the number of animals required to serially assess pancreatic growth and recovery.© 2014 Paredes et al

Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)

Cultivated sunflower holds a very narrow genetic base and the efficient utilization of available genetic diversity is very important for a successful breeding program. In the present study, 109 sunflower genotypes were assessed for diversity paneling through a combined approach of morphological and molecular markers analysis. Morphological parameters including days to flower initiation, days to flower completion, plant height, stem curvature, number of leaves per plant, leaf area, head diameter, hundred seed weight, and seed yield per plant were studied. Simple sequence repeats (40 DNA markers) were deployed for diversity profiling. Data were analyzed by both univariate and multivariate statistics. SD and coefficient of variation confirm the presence of significant amounts of genetic variation for all the morphological parameters. Cluster Analysis and Principal Component Analysis further confirm the presence of distinct grouping patterns in the studied material. Cluster analysis of both morphological and molecular analysis revealed that restorer lines tend to group separately from A, B, and open-pollinated lines. Further grouping, at the sub-cluster level, revealed six distinct sub-clusters in each of the two major clusters. In total, 12 genotypes, 6 CMS lines (CMS-HAP-12, CMS-HAP-54, CMS-HAP-56, CMS-HAP-99, CMS-HAP-111, and CMS-HAP-112) and 6 restorer lines (RHP-38, RHP-41, RHP-53, RHP-68, RHP-69, and RHP-71) could be used as potential parents for hybrid development. As genotypes of similar genetic backgrounds tend to group closer, it is deduced that one genotype with the highest seed yield per plant could be used for further hybrid breeding programs in sunflowers

Special issue on real‐time behavioral monitoring in IoT applications using big data analytics

Real-time social multimedia level threat monitoring is becoming harder, due to higher and rapidly increasing data induction. Data induction through electric smart devices is greater compared to information processing capacity. Nowadays, data becomes humongous even coming from the single source. Therefore, when data emanates from all heterogeneous sources distributed over the globe makes data magnitude harder to process up to a needed scale. Big data and Deep learning have become standard in providing well-known solutions built-up using algorithms and techniques in resolving data matching issues. Now, with the involvement of sensors and automation in generating data obscures everything, predicting results to overcome a current era of ever enhancing demands and getting real-time visualization brings the need of feature like human behavior mode extraction to overcome any future threats. Big data analytics can bring the opportunity of predicting any misfortune even before they happen. Map reduce feature of big data supports massive data oriented process execution using distributed processing. Real-time human feature identification and detection can occur through sensors and internet sources. A behavioral prediction can further classify the information collected for introducing enhanced security extents. Real-time sensor devices are producing 24/7-hour data for further processing recording each event. IoT-based sensors can support in behavioral analysis model of a human. Real-time human behavioral monitoring based on image processing and IoT using big data analytics

Induction of apoptosis of human primary osteoclasts treated with extracts from the medicinal plant Emblica officinalis

<p>Abstract</p> <p>Background</p> <p>Osteoclasts (OCs) are involved in rheumatoid arthritis and in several pathologies associated with bone loss. Recent results support the concept that some medicinal plants and derived natural products are of great interest for developing therapeutic strategies against bone disorders, including rheumatoid arthritis and osteoporosis. In this study we determined whether extracts of <it>Emblica officinalis </it>fruits display activity of possible interest for the treatment of rheumatoid arthritis and osteoporosis by activating programmed cell death of human primary osteoclasts.</p> <p>Methods</p> <p>The effects of extracts from <it>Emblica officinalis </it>on differentiation and survival of human primary OCs cultures obtained from peripheral blood were determined by tartrate-acid resistant acid phosphatase (TRAP)-positivity and colorimetric MTT assay. The effects of <it>Emblica officinalis </it>extracts on induction of OCs apoptosis were studied using TUNEL and immunocytochemical analysis of FAS receptor expression. Finally, <it>in vitro </it>effects of <it>Emblica officinalis </it>extracts on NF-kB transcription factor activity were determined by gel shift experiments.</p> <p>Results</p> <p>Extracts of <it>Emblica officinalis </it>were able to induce programmed cell death of mature OCs, without altering, at the concentrations employed in our study, the process of osteoclastogenesis. <it>Emblica officinalis </it>increased the expression levels of Fas, a critical member of the apoptotic pathway. Gel shift experiments demonstrated that <it>Emblica officinalis </it>extracts act by interfering with NF-kB activity, a transcription factor involved in osteoclast biology. The data obtained demonstrate that <it>Emblica officinalis </it>extracts selectively compete with the binding of transcription factor NF-kB to its specific target DNA sequences. This effect might explain the observed effects of <it>Emblica officinalis </it>on the expression levels of interleukin-6, a NF-kB specific target gene.</p> <p>Conclusion</p> <p>Induction of apoptosis of osteoclasts could be an important strategy both in interfering with rheumatoid arthritis complications of the bone skeleton leading to joint destruction, and preventing and reducing osteoporosis. Accordingly, we suggest the application of <it>Emblica officinalis </it>extracts as an alternative tool for therapy applied to bone diseases.</p